CN119539661A

CN119539661A - New cross-border business model: Tri-Intelligence security inspection method and device

Info

Publication number: CN119539661A
Application number: CN202411043666.5A
Authority: CN
Inventors: 曹泉; 陈志强; 张丽; 王振天; 黄清萍; 冯博
Original assignee: Tsinghua University
Current assignee: Tsinghua University
Priority date: 2024-07-31
Filing date: 2024-07-31
Publication date: 2025-02-28
Anticipated expiration: 2044-07-31
Also published as: CN119539661B

Abstract

The present application relates to a new cross-border business model of three-intelligence security inspection method and device, wherein the method includes: conducting security inspection on multiple target cross-border e-commerce order packages based on a three-intelligence inspection machine; packaging and sorting multiple target cross-border e-commerce order packages, and consolidating and sealing the sorted multiple target cross-border e-commerce order packages according to the container loading list to obtain a list of total points; sending the security inspection results and the list of total points to the three-intelligence supply chain security management platform, so that the customs can simplify the inspection of multiple target cross-border e-commerce order packages based on the three-intelligence supply chain security management platform and logistics supervision model, and deliver the inspected cross-border e-commerce order packages to overseas consumers through international logistics companies. Thus, the existing cross-border container inspection method is difficult to conduct comprehensive and accurate security inspections on consolidation containers, cannot effectively identify the safety risks of fragmented consolidation goods, and is difficult to achieve controllable sharing of information across the entire global supply chain.

Description

Cross-border new business state three-intelligence security inspection method and device

Technical Field

The application relates to the technical field of cross-border new business state container security inspection, in particular to a cross-border new business state three-intelligent security inspection method and device.

Background

After the international financial crisis, the large-amount transaction of the traditional trade 'container' is impacted, the cross-border electronic commerce represented by the cross-border small-amount transaction is brought into development of new opportunities, the purchasing behavior of overseas buyers is changed, and the short orders and the small orders of the overseas small wholesalers with high frequency replace the long orders and the large orders of the original large and medium wholesalers. The advent of a large number of overseas personal buyers is pushing the transformation of the "China manufacturing" trade style, bringing a high-speed development opportunity for an electronic commerce platform with online trade as a core. A group of companies specialized in electronic commerce go out of the country in dispute, expand international markets, and become world-leading cross-border trade enterprises.

The security supervision of mass scattered small packages of cross-border electronic commerce becomes a great challenge for customs of various countries in the world, and destination national customs such as North America and European Union face the entry of mass cross-border packages, the cross-border packages are required to be input in a container mode, and a principal person bears the security and customs responsibilities of the container.

The large-scale container inspection equipment (called H986 for short) in customs and intelligent aesthetic diagrams are adopted to splice small packages across the border into the container for transportation, so that the goods are quite different, complicated in shape and dense in stacking, the forbidden types and the hiding modes are quite various, the existing large-scale container inspection equipment (called H986 for short) in customs cannot be used for automatically identifying the complex goods containers and is high in false alarm rate, moreover, due to the fact that an effective safety inspection means is lacking, the customs of all countries in the world keep judicious attitudes on the supervision of goods of the electronic commerce across the border, the platform of the electronic commerce is required to bear more safety responsibilities, more data are reported, the customs fulfill more inspection procedures, the customs efficiency is influenced, the development of export business of the electronic commerce across the border is influenced, and the requirement of rapid development of new business state across the border cannot be adapted.

Specifically, firstly, customs inspection is determined according to a management instruction of a wind control system, if a rule of the wind control system is not hit, the goods enter a list to be released for radial release, although random spot inspection can be performed, the proportion is small, and missed inspection exists in the large-proportion radial release, so that deterrence can not be formed for illegal enterprises.

Secondly, traditional 'H986 machine inspection equipment + intelligent aesthetic map' of customs has technical deficiency to the container inspection of the splice, can't accomplish accurate discernment, and the small parcel of a large amount of overseas orders is sent to the shipper outside the overseas after the splice, for example export container of one year in certain stream area of Guangdong province exceeds 17 ten thousand, is equipped with and strides the parcel to exceed 13 hundred million, traditional' H986 machine inspection equipment + intelligent aesthetic map 'of customs can't accomplish accurate discernment to this kind of container inspection.

Then, the export of the cross-border e-commerce is blocked due to the security problem. Importation state customs strictly prescribes the safety and customs clearance of the containers, and due to lack of complete, timely and accurate safety information, no one is dared to take on the safety responsibility of the containers and the customs clearance of a single cargo owner, and the export of cross-border electronic commerce is blocked due to the safety problem.

In summary, the existing inspection method of the cross-border container is difficult to perform comprehensive and accurate security inspection on the splice container, cannot effectively identify the security risk of fragmented splice containers, and is difficult to realize controllable sharing of global supply chain full-chain information, so that the problem needs to be solved.

Disclosure of Invention

The application provides a cross-border new business state three-intelligence security inspection method and device, which are used for solving the problems that the existing cross-border container inspection method is difficult to carry out comprehensive and accurate security inspection on a splice container, cannot effectively identify the security risk of fragmented splice containers, and is difficult to realize controllable sharing of global supply chain full-chain information.

The embodiment of the first aspect of the application provides a cross-border new business state three-intelligent security inspection method, which comprises the following steps of carrying out security detection on a plurality of target cross-border electronic business order packages based on a preset three-intelligent inspection machine to obtain a security detection result, determining a container allocation list of the plurality of target cross-border electronic business order packages, carrying out encapsulation and sorting processing on the plurality of target cross-border electronic business order packages according to the container allocation list, carrying out box assembly and encapsulation on the plurality of encapsulated and sorted target cross-border electronic business order packages according to the container allocation list to obtain a list total distribution list of the box assembly and the plurality of target cross-border electronic business order packages after encapsulation, and sending the security detection result and the list total distribution list to a preset three-intelligent supply chain security management platform, so that customs can simplify inspection on the plurality of target cross-border electronic business order packages according to the three-intelligent supply chain security management platform, a preset logistics supervision model and preset customs inspection requirements, and carrying out distribution of the inspected plurality of target cross-border electronic business order packages to outside consumer customers through the preset international logistics enterprises.

Optionally, in one embodiment of the present application, the detecting and shunting processing is performed on the multiple target cross-border e-commerce order packages according to a preset priori knowledge base and a preset detection rule to obtain detection shunting data, a data acquisition area of the three-intelligence inspection machine is determined, and when the multiple target cross-border e-commerce order packages pass through the data acquisition area, a target detection device of the three-intelligence inspection machine is determined, and detection parameters of the target detection device are adjusted, the data acquisition is performed on the multiple target cross-border e-commerce order packages according to the target detection device and the detection parameters by the three-intelligence inspection machine to obtain data acquisition results, and fusion judgment is performed on the data acquisition results according to a pre-trained fusion judgment model to generate the safety inspection result of each target cross-border e-commerce order package.

Optionally, in one embodiment of the present application, before performing fusion decision on the data acquisition result according to the pre-trained fusion decision model, the method further includes constructing an initial training data set based on preset selectable customs wind control data, the preset priori knowledge base, the preset detection rules and the data acquisition result, performing data preprocessing and feature processing on the initial training data set to generate a standard training data set, acquiring at least one industry type corresponding to the multiple target cross-border e-commerce order packages, determining a scoring sub-model corresponding to each industry type in the at least one industry type, combining the scoring sub-models corresponding to each industry type according to a preset integrated learning strategy to construct a fusion decision model, and training and optimizing the fusion decision model based on the standard training data set and a performance evaluation index to obtain the pre-trained fusion decision model.

Optionally, in one embodiment of the present application, the determining a container allocation list of the plurality of target cross-border e-commerce order packages, and encapsulating and sorting the plurality of target cross-border e-commerce order packages, and assembling and sealing the plurality of encapsulated and sorted target cross-border e-commerce order packages according to the container allocation list to obtain a list total order of the assembled and packaged plurality of target cross-border e-commerce order packages, includes determining the container allocation list based on a destination of each target cross-border e-commerce order package and a container size of a transportation vehicle, encapsulating and encoding each target cross-border e-commerce order package, and sorting each target cross-border e-commerce order package after encapsulation, and assembling and sealing the plurality of sorted target cross-border e-commerce order packages through the container allocation list to generate the list total order.

Optionally, in one embodiment of the present application, the sending the security detection result and the inventory total policy to a preset three-intelligent supply chain security management platform, so that customs checks the multiple target cross-border e-commerce ordered packages according to the three-intelligent supply chain security management platform, a preset logistic supervision model and a preset customs inspection simplification requirement, and distributes the checked multiple target cross-border e-commerce ordered packages to target overseas consumers through a preset international logistic enterprise, including storing the security detection result and the inventory total policy based on a preset digital twin policy, simultaneously uploading the security detection result and the inventory total policy to the three-intelligent supply chain security management platform, constructing the preset logistic model according to a preset internet of things application policy and a supply chain event management policy, classifying the to-be-checked packages and the non-inspection-free packages in the multiple target cross-border e-commerce ordered packages according to the preset customs inspection simplification requirement, and distributing the to the customer packages according to the three-intelligent supply chain security inspection supervision model and the non-inspection-supervision-ordered packages.

The embodiment of the second aspect of the application provides a cross-border new business state three-intelligent security inspection device which comprises a detection module, a box assembly module and a checking module, wherein the detection module is used for carrying out security detection on a plurality of target cross-border electronic business order packages based on a preset three-intelligent inspection machine to obtain a security detection result, the box assembly module is used for determining container assembly lists of the plurality of target cross-border electronic business order packages, carrying out packaging and sorting processing on the plurality of target cross-border electronic business order packages, carrying out box assembly and sealing on the plurality of packaged and sorted target cross-border electronic business order packages according to the container assembly lists to obtain a box assembly and a list total distribution list of the plurality of target cross-border electronic business order packages after sealing, and the checking module is used for sending the security detection result and the list total distribution list to a preset three-intelligent supply chain security management platform so that a customs can carry out the checking on the plurality of target cross-border electronic business order packages according to the three-intelligent supply chain security management platform, a preset logistics supervision model and customs checking simplified requirements, and carrying out international checking on the plurality of target cross-border electronic business order packages and sending the target business order packages to the consumer business packages after the international business order packages are distributed to the target business orders.

Optionally, in one embodiment of the present application, the detection module includes a construction unit configured to construct the three-intelligence inspection machine by using a preset multi-characteristic CT device based on a grating, an X-ray diffraction device, a millimeter wave radar device, and a nuclear radiation detection device, a shunting unit configured to perform detection shunting processing on the multiple target cross-border electric order packages according to a preset priori knowledge base and a preset detection rule to obtain detection shunting data, an adjustment unit configured to determine a data acquisition area of the three-intelligence inspection machine, determine a target detection device of the three-intelligence inspection machine when the multiple target cross-border electric order packages pass through the data acquisition area, and adjust detection parameters of the target detection device at the same time, and an acquisition unit configured to perform data acquisition on the multiple target cross-border electric order packages by using the three-intelligence inspection machine based on the target detection device and the detection parameters, so as to obtain data acquisition results, and a decision unit configured to perform fusion decision on the data acquisition results according to a pre-trained fusion decision model so as to generate a fusion decision for each of the multiple target cross-border electric order package corresponding to the security cross-border electric order package.

Optionally, in one embodiment of the present application, the method further includes a data set construction module configured to construct an initial training data set based on preset selectable customs wind control data, the preset priori knowledge base, the preset detection rules, and the data acquisition result before performing fusion decision on the data acquisition result according to the pre-trained fusion decision model, a processing module configured to perform data preprocessing and feature processing on the initial training data set to generate a standard training data set, an acquisition module configured to acquire at least one industry type corresponding to the plurality of target cross-border e-commerce order packages, and determine a scoring sub-model corresponding to each industry type in the at least one industry type, a modeling module configured to combine the scoring sub-models corresponding to each industry type according to a preset integrated learning strategy, and a training module configured to train and optimize the fusion decision model based on the standard training data set and a performance evaluation index, so as to obtain the pre-trained fusion decision model.

Optionally, in one embodiment of the present application, the box assembly module includes a determining unit, configured to determine the container assembly list based on the destination of each target cross-border e-commerce order package and the container size of the transport vehicle, and an encapsulating unit, configured to encapsulate and code each target cross-border e-commerce order package, sort each target cross-border e-commerce order package after encapsulation and coding, and to assemble and encapsulate the sorted plurality of target cross-border e-commerce order packages by the container assembly list to generate the list total order.

Optionally, in one embodiment of the present application, the inspection module includes an uploading unit configured to store the security detection result and the inventory total policy based on a preset digital twinning policy, and upload the security detection result and the inventory total policy to the three-intelligent supply chain security management platform at the same time, a building module configured to construct the preset logistics supervision model according to a preset internet of things application policy and a supply chain event management policy, an analysis unit configured to classify the packages to be inspected and the packages to be inspected in the plurality of target cross-border e-commerce order packages based on the preset customs inspection simplification requirement, and a distribution unit configured to inspect the packages to be inspected according to the three-intelligent supply chain security management platform and the preset logistics supervision model, and distribute the packages to be inspected after inspection to the target overseas consumers.

An embodiment of a third aspect of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the program to implement the cross-border new business state three-intelligence security method according to the above embodiment.

A fourth aspect of the present application provides a computer readable storage medium storing a computer program which when executed by a processor implements a cross-border new business form three-intelligence security method as described above.

An embodiment of the fifth aspect of the present application provides a computer program product, including a computer program, the computer program being executed to implement the cross-border new business form three-intelligence security method described above.

Thus, embodiments of the present application have the following beneficial effects:

The embodiment of the application can obtain a safety detection result by carrying out safety detection on a plurality of target cross-border electronic commerce order packages based on a preset three-intelligent inspection machine, determine a container assembly list of the plurality of target cross-border electronic commerce order packages, carry out packaging and sorting processing on the plurality of target cross-border electronic commerce order packages, carry out box assembly and sealing on the plurality of packaged and sorted target cross-border electronic commerce order packages according to the container assembly list so as to obtain a list total order of the box assembly and the plurality of target cross-border electronic commerce order packages after sealing, and send the safety detection result and the list total order to a preset three-intelligent supply chain safety management platform so that customs can carry out inspection on the plurality of target cross-border electronic commerce order packages according to a three-intelligent supply chain safety management platform, a preset logistics supervision model and a preset customs inspection simplification requirement, and send the plurality of target cross-border electronic commerce order packages after inspection to target overseas consumers through a preset international logistics enterprise. The application can implement comprehensive safety detection on complex goods, complex owners, complex sources, complex forms, dense stacking and other situations in the container in an embedded, homeopathic and shared mode, and digitally convert and intelligently upgrade the international supply chain security check paradigm and technical equipment, further strengthen trade safety, accelerate customs service processing and support cross-border new business development. Therefore, the problems that the existing cross-border container inspection method is difficult to carry out comprehensive and accurate safety inspection on the splice container, the safety risk of fragmented splice containers cannot be effectively identified, the controllable sharing of global supply chain full-chain information is difficult to realize and the like are solved.

Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.

Drawings

The foregoing and/or additional aspects and advantages of the application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:

FIG. 1 is a flow chart of a cross-border new business state three-intelligence security method provided according to an embodiment of the application;

FIG. 2 is a schematic illustration of a cross-border trade export provided in accordance with one embodiment of the present application;

FIG. 3 is a schematic diagram of a multi-characteristic CT system based on a grating according to an embodiment of the present application;

FIG. 4 (a) is a schematic diagram of a crystal Bragg diffraction principle according to an embodiment of the present application;

FIG. 4 (b) is a schematic diagram of Bragg diffraction lines of a NaCl crystal according to an embodiment of the present application;

FIG. 5 is a schematic diagram of a logic architecture of a cross-border new business three-intelligence security method according to an embodiment of the present application;

FIG. 6 is a schematic diagram of a new business state logistics supervision model for cross-border trade according to one embodiment of the present application;

FIG. 7 is an exemplary diagram of a cross-border new business three-intelligence security device in accordance with an embodiment of the application;

Fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

The intelligent security inspection system comprises a 10-cross-border new business state three-intelligent security inspection device, a 100-detection module, a 200-box assembly module, a 300-inspection module, an 801-memory, an 802-processor and 803-communication interface.

Detailed Description

Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present application and should not be construed as limiting the application.

The cross-border new business state three-intelligence security inspection method and device of the embodiment of the application are described below with reference to the accompanying drawings. Aiming at the problems in the background art, the application provides a cross-border new business three-intelligent security inspection method, which comprises the steps of carrying out security inspection on a plurality of target cross-border electronic business order packages based on a preset three-intelligent inspection machine to obtain security inspection results, determining container allocation lists of the plurality of target cross-border electronic business order packages, carrying out packaging and sorting processing on the plurality of target cross-border electronic business order packages, carrying out box assembly and encapsulation on the plurality of packaged and sorted target cross-border electronic business order packages according to the container allocation list to obtain a list total distribution list of the box assembly and the plurality of target cross-border electronic business order packages after encapsulation, and sending the security inspection results and the list total distribution list to a preset three-intelligent supply chain security management platform, so that customs can inspect the plurality of target cross-border electronic business order packages according to the three-intelligent supply chain security management platform, a preset logistics supervision model and a preset customs inspection simplification requirement, and carrying out consumer distribution of the inspected plurality of target cross-border electronic business order packages to outside consumer of the target business order packages through the preset international logistics. The application can implement comprehensive safety detection on complex goods, complex owners, complex sources, complex forms, dense stacking and other situations in the container in an embedded, homeopathic and shared mode, and digitally convert and intelligently upgrade the international supply chain security check paradigm and technical equipment, further strengthen trade safety, accelerate customs service processing and support cross-border new business development. Therefore, the problems that the existing cross-border container inspection method is difficult to carry out comprehensive and accurate safety inspection on the splice container, the safety risk of fragmented splice containers cannot be effectively identified, the controllable sharing of global supply chain full-chain information is difficult to realize and the like are solved.

In order to facilitate the understanding of the execution logic of the cross-border new business state three-intelligence security inspection method of the present application by those skilled in the art, the following description will explain the execution targets of the present application.

The application takes 'intelligent customs, intelligent border and intelligent sharing communication' major advocates (short for 'three wisdom') as guidance, and achieves the following aims through technological innovation:

1. And (3) intelligent detection:

The application effectively detects and identifies risks such as forbidden limit control, commodity inspection, food and agricultural product inspection, animal and plant, product quarantine, health quarantine and the like through the package-level non-invasive safety detection device, intelligently monitors the whole process of container assembly, automatically integrates package-level safety detection information, and forms container-level digital safety information.

2. Intelligent decision:

By analyzing the scanning results in the earlier stage again, risks such as forbidden limit control, commodity inspection, food and agricultural product inspection, animal and plant and product quarantine, health quarantine and the like are intelligently classified and identified, and finally processing conclusions of different levels are formed.

3. Intelligent sharing:

Through the open interface of the platform, each participant can access the required information to realize the sharing of resources and services, and the mode encourages multiparty collaboration in cross-border trade and constructs a more open, inclusive and mutually trusted global trade environment.

Therefore, the application realizes overlapping digital integration of cross-border new-state package-level security inspection through intelligent detection, intelligent decision-making and intelligent sharing to replace the traditional large container security inspection method, and effectively inspects the security risk shown in the following table:

TABLE 1

First level	Second-level	Three stages
			Checking	Forbidden limit control	Tool for manufacturing gun explosion tube
Checking	Forbidden limit control	Medicine, drug and easy-to-make chemical
			Checking	Forbidden limit control	Endangered wild animals and plants and products thereof
Checking	Forbidden limit control	Pseudo conceal clip
			Inspection of	Commodity inspection	Toxic and harmful substances
Inspection of	Inspection of food and agricultural products	Radioactive material
			Quarantine	Animal and plant and product quarantine	Foreign invasive species
Quarantine	Health quarantine	Quarantine pest

Specifically, fig. 1 is a flowchart of a cross-border new business state three-intelligence security inspection method provided by an embodiment of the present application.

As shown in FIG. 1, the cross-border new business state three-intelligence security inspection method comprises the following steps:

in step S101, security detection is performed on a plurality of target cross-border e-commerce order packages based on a preset three-intelligence inspection machine, so as to obtain a security detection result.

In the embodiment of the application, the overseas consumer can select the required commodity and pay commodity and logistics cost on the registered electronic commerce platform, the electronic commerce platform generates corresponding electronic order information after receiving the order of the overseas consumer, and if the order relates to the commodity of a plurality of electronic commerce enterprises, the electronic commerce platform arranges the international logistics distribution enterprises to collect the sold commodity of each electronic commerce enterprise and conveys the commodity to a temporary storage warehouse of the international logistics distribution enterprises.

In the new mode, after the e-commerce enterprise transports the goods in the order to the temporary storage bin of the logistics enterprise through domestic logistics, as shown in fig. 2, the embodiment of the application can construct a three-intelligent inspection machine so as to comprehensively detect small packages (namely target cross-border e-commerce order packages which comprise multi-class and multi-target cross-border e-commerce order packages), thereby realizing the omnibearing intelligent security scanning of the packages.

Optionally, in one embodiment of the application, safety detection is performed on a plurality of target cross-border e-commerce order packages based on a preset three-intelligent inspection machine to obtain a safety detection result, the method comprises the steps of constructing the three-intelligent inspection machine by utilizing a preset multi-characteristic CT device, an X-ray diffraction device, a millimeter wave radar device and a nuclear radiation detection device based on a grating, performing detection and shunt processing on the plurality of target cross-border e-commerce order packages according to a preset priori knowledge base and a preset detection rule to obtain detection shunt data, determining a data acquisition area of the three-intelligent inspection machine, determining target detection devices of the three-intelligent inspection machine when the plurality of target cross-border e-commerce order packages pass through the data acquisition area, adjusting detection parameters of the target detection devices, performing data acquisition on the plurality of target cross-border e-commerce order packages by utilizing the three-intelligent inspection machine based on the target detection devices and the detection parameters to obtain the data acquisition result, and fusing the data acquisition result according to a preset fusion judgment model to generate a safety detection result corresponding to each target cross-border e-commerce order package in the plurality of target cross-border e-commerce order packages.

In order to improve inspection accuracy, the embodiment of the application introduces equipment components such as multi-characteristic CT, diffraction imaging, millimeter wave radar, nuclear radiation detection and the like based on the grating to construct a three-intelligence inspection machine, and the details of each equipment component are described and illustrated below.

1. Grating-based multi-feature CT

The traditional CT obtains the internal information of an object based on the difference of the attenuation degree of the substance on the X-ray, and has certain limitation on the imaging resolution of light element composition substances, while the grating imaging technology introduces three high-precision gratings G0, G1 and G2 with micron-order periods on the basis of the traditional X-ray imaging geometry, as shown in figure 3, modulates X-ray light waves through a grating system, generates light intensity stripes corresponding to the grating periods on a certain distance behind the grating G1, amplifies the light intensity stripes through the grating G2 by utilizing the Moore stripe effect, so as to be detected by a detector, and analyzes through an algorithm, besides obtaining the traditional absorption image reflecting the attenuation characteristic of the substance, the embodiment of the application can synchronously obtain a phase image with higher image contrast and a scattering image reflecting the micro-nano structure of the mesoscopic size (100-500 mu m) of the substance, thereby effectively improving the imaging resolution of the X-ray weak absorption substance and the porous and multi-fiber high-scattering substances, and further improving the forbidden products and identifying the detection rate of security inspection products, such as living things, import and export fruit.

2. X-ray diffraction technique (XRD)

The X-ray diffraction technique is a method of analyzing a crystal structure by utilizing a diffraction phenomenon of X-rays in a crystal. When X-rays pass through the crystal, due to the periodic arrangement of atoms in the crystal, the X-rays reflected by each crystal face interfere and form coherent reinforced diffraction peaks under the specific condition of meeting the Bragg law, the principle is shown in fig. 4 (a), and according to the positions of the diffraction peaks, the embodiment of the application determines the intrinsic parameters such as the lattice size of the crystal, and the like, so that the molecular structure information of a detected substance is obtained, molecules of different substances have different crystal structures, and corresponding X-ray diffraction energy spectrums are shown in fig. 4 (b), and the X-ray diffraction energy spectrums have high specificity. Therefore, the XRD technology can accurately identify substances, and has extremely high detection efficiency on contraband such as drugs, explosives, liquid dangerous goods and the like.

In the CT detection flow, XRD technology can be combined with CT equipment to accurately check contraband, and as the effective atomic numbers of organics such as explosives, drugs, forbidden drugs and the like and daily living articles are very close, and the contraband is often mixed in a luggage case, the CT technology is difficult to distinguish, through the CT technology, the embodiment of the application can rapidly and accurately locate a detected local area, and the molecular structure of the area is analyzed by utilizing the XRD technology in a targeted manner, thereby greatly reducing the false alarm rate of the contraband and improving the identification accuracy.

3. Millimeter wave radar technology

The millimeter wave radar technology is a technology for detecting objects by electromagnetic waves with the wavelength of millimeter magnitude, millimeter waves have certain penetrating capacity on common non-conductor packages or boxes, the relative motion of a reflector and a source can cause Doppler frequency shift of the reflected waves, the multidimensional characteristics of living organisms in the packages or the boxes can be obtained by processing radar echo signals, the radar echo signals of the living organisms are collected by penetrating high-gain millimeter wave radars through packages such as common paper boxes, plastics, foam boxes and glass, the multidimensional information of the living organisms can be obtained by technologies such as fast time dimension pulse compression, slow time dimension Doppler frequency analysis, short-time Fourier transform, two-dimensional or three-dimensional holographic imaging and the like, and the multidimensional information of the living organisms such as heartbeat, respiration, limb motion, position, appearance and the like can be obtained by combining the technologies such as radar constant false alarm detection, deep neural network and the like to realize the characteristic extraction of the living organism information, and whether living organism targets exist in the boxes can be judged.

4. Nuclear radiation detection technology

The nuclear radiation detection technology adopts high-performance scintillators or semiconductor materials to detect various types of nuclear radiation such as alpha, beta, gamma and the like, has extremely high sensitivity and accurate energy resolution, can realize full-period and uninterrupted real-time monitoring by installing nuclear radiation detection equipment on a logistics transmission line, effectively prevent illegal transportation and accidental leakage of radioactive substances, ensure the safety of a logistics process, and ensure that when goods on the logistics line pass through a detection area, a detector can quickly capture and analyze radiation signals, an intelligent algorithm built in the detector can automatically eliminate the influence of environmental background radiation, common electromagnetic interference and other factors, ensure accurate judgment of radioactive substances, and once the radioactive substances are detected, the system can immediately trigger a multi-stage alarm mechanism, and simultaneously push alarm information to mobile equipment or a monitoring center of related responsible persons in real time through a network, thereby ensuring quick transmission and timely response of the information.

As shown in fig. 5, the execution flow of the tri-intelligence inspection machine mainly includes processes of detecting and splitting, data acquisition, and fusion judgment, wherein the data acquisition process is the most central part of the tri-intelligence inspection machine, and the detection flow of the tri-intelligence inspection machine is described in detail below.

1. Detection split

For small packages in an international logistics temporary storage bin, the embodiment of the application can determine what needs to be checked for the package through a priori knowledge base and detection rules, and check the package by using a detection technology so as to realize detection and diversion;

2. Data acquisition

In the data acquisition process, the embodiment of the application can form serial configuration through a plurality of detection devices, as a mode which can be realized, as shown in fig. 5, the A channel is a multi-characteristic CT device based on a grating, the B channel is a diffraction device, the C channel is a millimeter wave radar device, and the D channel is a nuclear radiation detection device, so as to jointly form an intelligent sensing device (namely a three-intelligent inspection machine), the four-channel serial detection devices are serially arranged on a small package conveyor belt to form a one-station data acquisition area, the small package is automatically pulled by a traction device in a detection track groove to pass through the one-station data acquisition area of the three-intelligent inspection machine, and the data acquisition area can also introduce new detection devices to directionally detect the small package, so that the existing algorithm can be continuously expanded and enhanced;

The small package is subjected to data acquisition through a one-stop data acquisition area formed by a plurality of pieces of equipment, but the detection task is carried out by the equipment, the intelligent terminal is determined according to the detection discrimination of the previous step, the detection task is carried out by one piece of detection equipment, or the combination detection of different pieces of equipment is possible, for example, the detection is carried out in a two-by-two combination mode, or all the detection is started simultaneously, the diversion and acquisition processes of the detection are uniformly scheduled by a three-intelligent detection platform, the whole detection process is recorded by a system background, and for the field of an ultra-large international logistics enterprise, if the single data acquisition area meets the passing rate requirement of the field logistics package, the embodiment of the application can set a plurality of data acquisition areas to carry out parallel detection.

Meanwhile, the three-intelligent supply chain safety management platform can respectively adjust the detection parameters of each device according to the conclusion of the decision analysis in the previous step and aiming at the diversity of detected goods types, so as to obtain a better detection result; for example, when the detected goods are strong absorbing substances such as a set of mechanical equipment, the embodiment of the application can use higher voltage and current to detect so as to obtain higher penetrating power;

3. Fusion decision

The fusion judgment is carried out on the percentage numerical data acquisition results of the early-stage scanning results through a pre-trained fusion judgment model, risks such as forbidden limit control, commodity inspection, food and agricultural product inspection, animal and plant and product quarantine, health quarantine and the like are effectively detected and identified, and finally processing conclusions of different levels such as normal passing or abnormal processing (further refined detection) are formed, so that intelligent analysis is formed, and the types of forbidden articles can be expanded according to actual conditions.

Therefore, the embodiment of the application integrates different functions of checking, examining, judging and the like into a group of kits through intelligent perception, intelligent analysis and intelligent sharing communication of the three intelligent checking machine of the logistics enterprise in the temporary storage bin, the novel security check pattern changes the traditional cross-border trade security check pattern, replaces the general CT machine checking equipment sampling check pattern in the cross-border export service, not only can economically realize comprehensive checking and supervision of goods, but also can support development of new trade business states, increase the rate of checking contraband, further can form non-invasive non-inductive detection and automatic processing of the goods of the enterprise, greatly improve the general pass efficiency and substantially reduce the burden of the enterprise.

Optionally, in one embodiment of the application, before fusion judgment is carried out on the data acquisition result according to the pre-trained fusion judgment model, the method further comprises the steps of constructing an initial training data set based on preset optional customs wind control data, a preset priori knowledge base, preset detection rules and the data acquisition result, carrying out data preprocessing and feature processing on the initial training data set to generate a standard training data set, acquiring at least one industry type corresponding to a plurality of target cross-border e-commerce order packages, determining a scoring sub-model corresponding to each industry type in the at least one industry type, combining the scoring sub-models corresponding to each industry type according to a preset integrated learning strategy to construct a fusion judgment model, and training and optimizing the fusion judgment model based on the standard training data set and performance evaluation indexes to obtain the pre-trained fusion judgment model.

It should be noted that, the specific process of training and deploying the fusion decision model in the embodiment of the present application is as follows:

1. Data collection and preparation

The embodiment of the application can collect data such as multi-channel detection results, priori knowledge bases, detection rules, customs wind control accessed through customs wind control algorithm interfaces of the multi-characteristic CT equipment, diffraction equipment, millimeter wave radar equipment and nuclear radiation detection equipment based on the grating to obtain an initial training data set, and perform data preprocessing on the initial training data set to ensure the quality and consistency of the data;

2. Feature engineering and data preparation

Processing and encoding data such as a multi-channel detection result, a priori knowledge base, detection rules, customs wind control and the like so as to generate a standard training data set;

3. Model selection and training

The embodiment of the application can select various classification algorithms, such as decision trees, random forests, gradient lifting trees and the like;

The sub-model training, namely, taking account of larger scoring difference of different industries, the embodiment of the application can acquire at least one industry type corresponding to a plurality of target cross-border electronic commerce order packages, and determine and train the scoring sub-model corresponding to each industry type in the at least one industry type, for example, assuming that three industries are A, B, C, the embodiment of the application trains the model M _A,M_B,M_C respectively;

and the integration method is to combine the results of all the sub-models by using an integrated learning method.

The first method comprises the steps of carrying out weighted average on the prediction results of all sub-models according to a certain weight;

Voting the predicted results of each sub-model, and taking the result with the largest number of votes;

stacking method, using a meta model to synthesize the predicted fruits of each sub model;

4. Model evaluation and optimization

And (3) evaluating the performance of the model by using indexes such as accuracy, precision, recall rate, F1-score and the like, optimizing the model, and ensuring the accuracy and the robustness of the model.

5. Model application and deployment

And integrating the trained fusion judgment model into a system to judge the treatment instruction of the package in real time.

The structure of the resulting dataset formed by the fusion decision is shown in the following table:

TABLE 2

The detection technology comprises multi-characteristic CT, diffraction imaging, millimeter wave radar, nuclear radiation detection and the like based on gratings, the safety risk classification comprises a gun explosion tube manufacturing device, a drug and drug easy-to-poison chemical product, endangered wild animals and plants and products thereof, a fake conceal clamp object, toxic and harmful substances, radioactive substances, foreign invasive species, quarantine harmful organisms and the like, and the customs management comprises risk discrimination scores and the like based on system dynamics.

Therefore, the embodiment of the application provides reliable data guidance and basis for the execution of the operations such as packaging, sorting and the like of the subsequent small package by constructing and training the fusion judgment model.

In step S102, a container assembly list of a plurality of target cross-border electronic commerce order packages is determined, the plurality of target cross-border electronic commerce order packages are packaged and sorted, and the packaged and sorted plurality of target cross-border electronic commerce order packages are assembled and sealed according to the container assembly list, so as to obtain a list total order of the assembled and sealed plurality of target cross-border electronic commerce order packages.

In the actual execution process, the small packages passing the fusion judgment result can be automatically sent to a packaging code spraying area of a logistics enterprise through a conveyor belt, automatic packaging is carried out, special identification code spraying is printed on an outer package, and the special identification code spraying area is internally transmitted to a logistics enterprise platform through a system to sort the small packages.

After that, the embodiment of the application can enable the logistics enterprise platform to generate a container assembly list according to the order destination, the container size of the transport vehicle and other practical conditions, package sorted by the international logistics distribution enterprise is spliced according to the container assembly list, the container is sealed after the splicing is completed, a list total order reflecting the container assembly condition is formed according to the package practical boxing condition, and a specific code spraying list for attaching small packages is synchronously sent to customs by an electronic commerce service provider.

Optionally, in one embodiment of the application, a container assembly list of a plurality of target cross-border electronic commerce order packages is determined, the plurality of target cross-border electronic commerce order packages are packaged and sorted, and the packaged and sorted plurality of target cross-border electronic commerce order packages are assembled and sealed according to the container assembly list to obtain a list total order of the assembled and packaged plurality of target cross-border electronic commerce order packages, wherein the method comprises the steps of determining the container assembly list based on the destination of each target cross-border electronic commerce order package and the container size of a transport vehicle, packaging and coding each target cross-border electronic commerce order package, sorting each packaged and coded target cross-border electronic commerce order package, and assembling and sealing the sorted plurality of target cross-border electronic commerce order packages through the container assembly list to generate the list total order.

In the specific implementation process, after the e-commerce enterprise receives the notification of the e-commerce platform, the embodiment of the application can pack the commodities properly according to the order details, ensure the quality and safety of the commodities, and wait for the e-commerce platform to arrange the international logistics distribution enterprises to collect the commodities and transport the commodities to a temporary storage warehouse of the international logistics distribution enterprises after the packing is completed.

Furthermore, after the international logistics distribution enterprises receive commodities from different electronic commerce enterprises, the embodiment of the application can temporarily store and wait the commodities according to detailed order information provided by the electronic commerce platform. After all the commodities in a cross-border export order reach a temporary storage warehouse, the international logistics distribution enterprise integrates and packages the commodities into a cross-border E-commerce package, and the face sheet containing complete distribution information is re-attached.

After the integration of the cross-border e-commerce packages is finished, the e-commerce enterprise or an agent thereof declares the cross-border e-commerce export to the customs, and in the process, the embodiment of the application needs to send three bill data including an electronic order, a collection bill and a freight bill and the bill data of the order to the customs for auditing.

After customs receives the three-order data and the list data submitted by the electronic commerce enterprise or the agent thereof, the embodiment of the application can carry out electronic audit on the cross-border electronic commerce package, so that the customs can carry out electronic audit on the package meeting the requirements by checking the authenticity and consistency of the three-order information.

After the e-commerce service provider sends three orders and list data to customs audit, the international logistics distribution enterprise sorts the cross-border e-commerce packages by a line body sorting line, the line body sorting line sorts the corresponding packages according to the destination of the order and other practical conditions such as the size of the container of the transport vehicle, the international logistics distribution enterprise sorts the corresponding packages to perform box assembling operation, forms a list total order reflecting the container loading condition, sends the list total order to customs by the e-commerce service provider, and transports the container to a customs supervision place by using the transport vehicle specified in the list total order after the boxing is completed.

Therefore, the embodiment of the application can realize comprehensive safety detection on complex goods, complex owners, complex sources, complex forms, dense stacking and the like in the container, and can realize comprehensive safety detection on gun-explosion tube manufacturing devices, endangered wild animals and plants and products thereof, medicines, drugs and easily-made toxic chemicals, pseudo conceal clamping substances, toxic harmful substances, radioactive substances, foreign invasive species, quarantine harmful organisms and other safety risks in an embedded, homeotropic and intelligent manner, realize quick, effective and accurate detection and identification, digitally convert and intelligently upgrade international supply chain safety inspection paradigms and technical equipment, further strengthen trade safety, accelerate general-relations business processing, support development of new industrial states across environments, and promote global economic recovery and growth.

In step S103, the security detection result and the inventory total policy are sent to a preset three-intelligent supply chain security management platform, so that the customs can inspect the multiple target cross-border electronic commerce order packages according to the three-intelligent supply chain security management platform, the preset logistics supervision model and the preset customs inspection simplification requirements, and the inspected multiple target cross-border electronic commerce order packages are distributed to the target overseas consumers through the preset international logistics enterprises.

Furthermore, the embodiment of the application can also gather the data such as the safety detection result and the list total order and the like on a three-intelligent supply chain safety management platform (namely a three-intelligent new platform), an e-commerce server sends the data to a customs, an international logistics distribution enterprise starts vehicles into a supervision place, if part of small packages need to be checked, checking operation is carried out in the place of the supervision place, the small packages detected by the three-intelligent inspection machine and the container of the splice box can be adopted in the part of checking whether the customs is free from checking, after checking is finished or the customs release procedure is not needed, the vehicles leave the supervision place and leave the Chinese switch, and the logistics enterprise distributes the packages to overseas consumers after the transportation.

Optionally, in one embodiment of the present application, the security detection result and the inventory total order are sent to a preset three-intelligent supply chain security management platform, so that customs checks a plurality of target cross-border electronic commerce order packages according to the three-intelligent supply chain security management platform, a preset logistics supervision model and a preset customs checking simplification requirement, and the checked plurality of target cross-border electronic commerce order packages are distributed to target overseas consumers through a preset international logistics enterprise, including storing the security detection result and the inventory total order based on a preset digital twin strategy, and uploading the security detection result and the inventory total order to the three-intelligent supply chain security management platform; the method comprises the steps of establishing a preset logistics supervision model according to a preset Internet of things application strategy and a supply chain event management strategy, classifying packages to be inspected and packages to be inspected in a plurality of target cross-border e-commerce ordered packages based on a preset customs inspection simplification requirement, inspecting the packages to be inspected according to a three-intelligent supply chain safety management platform and the preset logistics supervision model, and distributing the packages to be inspected after inspection and inspection to target overseas consumers.

It should be noted that, for the subsequent possible manual review, the embodiment of the present application may introduce a digital twin technique to persist the collected information such as the security detection result and the total inventory policy, and upload the information to the security management platform of the three-intelligence supply chain by using the computer network, and provide the information to other related parties.

In the actual execution process, no matter the prior experience of decision diversion, a big data algorithm, or information such as small package over-inspection data of a temporary storage bin of a logistics enterprise, a total waybill formed after box assembly and the like are converged into a three-intelligence supply chain safety management platform.

In the embodiment of the application, a logistics supervision model adopted by the three-intelligent supply chain safety management platform is based on a logistics 'industrialization, specialization and high-end' management concept, and a chimeric supervision door-to-door supply chain safety trade scheme is built around enterprise supply chain information management by means of the internet of things technology.

As shown in fig. 6, the core of the logistic supervision model mainly includes the following two aspects:

1. Comprehensive application of Internet of things technology

In the embodiment of the application, the commodity is subjected to informatization management from the top of the shelf, namely the Internet of things technology represented by RFID is comprehensively adopted, a complete information registration process is formed from a production link to storage, and the Internet of things sensing equipment and the Internet of things technology are also installed on transportation means (including trailers, ships, airplanes, trays, equipment, containers and operation equipment) used in the logistics process.

2. Comprehensive management of supply chain events

The supply chain comprises parts of supplier cooperation management, supply network plan management (including warehouse management, production plan and detailed dispatch management), transportation management, customer cooperation management, demand plan management, payable capability management, supply chain performance management and the like which are established for suppliers, logistics enterprises, payment enterprises, customers and supervision parties, wherein a processing unit for comprehensively managing the parts and various external information is supply chain event management and is used for monitoring the supply chain process, providing the visual management of the process and alarm events, and through the supply chain event management, all business processes of the supply chain can be mapped, controlled and checked by all parties on the supply chain, the occurrence process of the events can be inspected from different perspectives, and the hierarchical and prioritized processing, the early warning visualization and the event disposition of the events can be realized, so that the safety and the efficiency of the whole supply chain logistics process are improved, and the logistics events are also applied to the transportation management in the supply chain event management.

In the logistics supervision management model, when an e-commerce enterprise or a platform puts on shelf to sell commodities, each commodity is endowed with a traceable commodity code, in links of commodity storage, sales, transportation and distribution and the like, the internet of things technology is adopted to ensure that the source and assembly information of the commodities are clear and traceable, the checking of the actual commodities and the single commodities is realized, the information is transmitted into a three-intelligent supply chain safety management platform, the platform also comprises logistics information, the logistics information is recorded through a blockchain technology, the credibility and the tamper resistance are achieved, the three-intelligent concept is shared with each participant in the authority range, and the aims of mutual trust, synergy and co-treatment are achieved.

The electronic commerce business (platform) establishes an informationized management platform comprising commodity management, document management, client management, financial management and the like, manages sales commodities, sales orders, lists, payment documents and the like, establishes transportation requirements according to client order information, reports to the customs and searches for logistics enterprises. All of these relevant events are recorded in the three intelligent supply chain security management platform.

The logistics enterprises establish main data management for three transportation resources, namely a transportation network (comprising trailers, ships, planes, trays, equipment, containers, operation equipment, airlines, voyages, trade channels and the like), when the transportation demands are accepted or established, the transportation demands are analyzed and established according to the conditions of the transportation resources, transportation contracts are formed, in a warehouse management link, the goods collection of the order packages and the integration and packaging of the order packages are realized, the sorting and distribution of the packages and the code spraying identification are realized through the inspection of a three-intelligence inspection machine, and the transportation plans are established and the transportation work is developed according to the fusion judgment result and in consideration of the conditions of the transportation demands and the transportation resources.

In the embodiment of the application, the transportation work is carried out in a plurality of stages, each stage can cause transportation events (such as box assembly, load, change, unloading, box assembly, sorting, dispatch and the like), the transportation events can be collected by a three-intelligent supply chain safety management platform through the internet of things technology applied to transporting goods and transportation tools and converted into logistics events for customs to conduct on-way supervision, all logistics events are triggered and recorded according to rules, and the logistics events relate to goods safety, transportation actual loading paths, node information, transportation tool states, carrier information and the like, so that a complete logistics information environment is formed.

In the delivery process, whether the transportation process is safe and reliable can be known through the logistics information analysis of the whole logistics process, whether the attached document information accords with the goods or not and whether the box opening inspection is needed or not are judged, so that safe, visual, predictable and informative door-to-door supply chain event management is formed.

The customs acquires supply chain events of all parties through a three-intelligent supply chain safety management platform, combines actual cargo inspection conditions of a three-intelligent inspection machine, realizes risk management and cargo supervision, decides whether to open a box for inspection, and can master the logistics information of the whole process of selling and transporting cargoes to delivery from the whole process by combining the extraction and analysis of the supply chain events and the logistics events provided by multiple parties and the logistics related documents, so as to carry out efficient homeopathic supervision.

In the whole process, customs supervision is embedded into an enterprise logistics chain to realize convenient and quick service and smooth management cooperation, the platform integrates data of all parties to promote interconnection and intercommunication of all parties, an integrated supervision platform adapting to enterprise logistics is created, multiple types of scenes such as enterprise information interaction, supervision management, early warning disposal, en-route supervision and the like are met, all the information of all the parties are linked up and authorized to be referred, the platform realizes integrated prevention and control of the whole process, new technology and big data algorithm are utilized, risk screening dimension is enriched, comprehensive analysis and research and judgment of related information of enterprise credit, logistics chain and the like are enhanced, risk monitoring taking the logistics chain as a unit is implemented, and a new penetrating risk management mode taking the logistics chain as a unit is promoted to be formed.

In summary, after the three-intelligent supply chain security management platform in the embodiment of the application obtains the required data such as the small package, security detection and container logistics, the security orderly sharing and sharing of the data are realized by intelligent sharing interconnection and by applying technologies such as block chain, cloud computing and the like, and the cross-border electronic commerce nascent state taking the three-intelligent security detection system as a core is realized, and the advantages of the nascent state are mainly expressed in the following aspects:

1. Intelligent upgrade and trust construction

The three-intelligent supply chain safety management platform integrates big data and artificial intelligence through depth, so that high precision and high speed of package level detection are realized, and a trust foundation stone for cross-border trade is established by means of a blockchain technology. The non-tamper-evident and transparent nature of the blockchain ensures the authenticity and integrity of each transaction record, greatly reducing the risk of fraud and promoting the healthy development of cross-border commerce.

2. Seamless connection and efficiency improvement

By utilizing cloud computing technology, the system and the method construct a multidimensional interconnected global customs and enterprise network beyond the limitation of the traditional global customs and enterprise network, not only comprise point-to-point direct connection, but also cover complex interconnection structures between platforms, wherein the innovative network architecture greatly improves the speed and the safety of data transmission, reduces the logistics delay, simultaneously reduces the operation cost and provides a more stable and efficient infrastructure for global trade.

3. Remodeling of ecological cycle

(1) Consumers can enjoy faster and safer commodity delivery, and meanwhile, package states are tracked in real time through the three-intelligent supply chain safety management platform, so that shopping experience is enhanced;

(2) The e-commerce service provider optimizes inventory management, reduces return rate and improves customer satisfaction by utilizing a data analysis tool provided by a three-intelligence supply chain safety management platform;

(3) The electronic commerce platform realizes an automatic safety inspection flow through deep integration with the three-intelligent supply chain safety management platform, simplifies operation and accelerates commodity circulation;

(4) The logistics distribution enterprises benefit from intelligent logistics scheduling, so that the clearance time is reduced, the transportation efficiency is improved, and the cost is reduced;

(5) Exporting the customs of the country (region), realizing package-level automatic inspection by means of a three-intelligent security inspection system, effectively preventing smuggling and contraband from flowing in, and improving border security management;

(6) The customs of the importation country (region) can share the safety information in real time through a three-intelligence supply chain safety management platform, coordinate actions, jointly maintain regional safety and promote the quick circulation of legal goods.

4. Formation of shared services networks

The new ecology of the three-intelligence inspection machine is not only a technical innovation, but also a transformation of a service concept, all participants can realize sharing of resources and services based on authority access to required information through an open interface of a platform, the mode encourages multiparty collaboration in cross-border trade, a shared service network of 'people' is formed, and a more open, inclusive and mutually trusted global trade environment is constructed.

According to the cross-border new business three-intelligent security inspection method, security inspection is carried out on a plurality of target cross-border electronic business order packages based on a preset three-intelligent inspection machine to obtain security inspection results, container assembly lists of the plurality of target cross-border electronic business order packages are determined, the plurality of target cross-border electronic business order packages are packaged and sorted, the packaged and sorted plurality of target cross-border electronic business order packages are subjected to box assembly and encapsulation according to the container assembly lists to obtain a list total distribution list of the box assembly and the plurality of target cross-border electronic business order packages after encapsulation, the security inspection results and the list total distribution list are sent to a preset three-intelligent supply chain security management platform, and customs inspection simplifies requirements according to the three-intelligent supply chain security management platform, a preset logistics supervision model and preset customs inspection, the plurality of target cross-border electronic business order packages are inspected and distributed to consumers outside the targets through a preset international logistics enterprise. The application can implement comprehensive safety detection on complex goods, complex owners, complex sources, complex forms, dense stacking and other situations in the container in an embedded, homeopathic and shared mode, and digitally convert and intelligently upgrade the international supply chain security check paradigm and technical equipment, further strengthen trade safety, accelerate customs service processing and support cross-border new business development.

Next, a cross-border new business state three-intelligence security inspection device according to an embodiment of the present application is described with reference to the accompanying drawings.

Fig. 7 is a block diagram of a cross-border new business three-intelligence security device according to an embodiment of the application.

As shown in fig. 7, the cross-border new business state three-intelligence security inspection device 10 comprises a detection module 100, a box assembly module 200 and a checking module 300.

The detection module 100 is configured to perform security detection on a plurality of target cross-border e-commerce order packages based on a preset three-intelligence inspection machine, so as to obtain a security detection result.

The box assembly module 200 is configured to determine a container assembly list of the plurality of target cross-border electronic commerce order packages, package and sort the plurality of target cross-border electronic commerce order packages, and assemble and seal the plurality of packaged and sorted target cross-border electronic commerce order packages according to the container assembly list, so as to obtain a total list order of the box assembly and the plurality of packaged target cross-border electronic commerce order packages.

The inspection module 300 is configured to send the security detection result and the inventory total policy to a preset three-intelligent supply chain security management platform, so that the customs inspect the multiple target cross-border electronic commerce order packages according to the three-intelligent supply chain security management platform, the preset logistics supervision model and the preset customs inspection simplification requirement, and distribute the inspected multiple target cross-border electronic commerce order packages to target overseas consumers through the preset international logistics enterprises.

Optionally, in one embodiment of the present application, the detection module 100 includes a construction unit, a shunt unit, an adjustment unit, an acquisition unit, and a decision unit.

The construction unit is used for constructing the three-intelligence inspection machine by using a preset grating-based multi-characteristic CT device, an X-ray diffraction device, a millimeter wave radar device and a nuclear radiation detection device.

And the shunt unit is used for carrying out detection and shunt processing on the multiple target cross-border e-commerce order packages according to a preset priori knowledge base and a preset detection rule so as to obtain detection and shunt data.

The adjusting unit is used for determining a data acquisition area of the three-intelligent inspection machine, determining target detection equipment of the three-intelligent inspection machine when a plurality of target cross-border electronic commerce order packages pass through the data acquisition area, and simultaneously adjusting detection parameters of the target detection equipment.

The acquisition unit is used for acquiring data of a plurality of target cross-border electronic commerce order packages by utilizing the three-intelligent inspection machine based on the target detection equipment and the detection parameters so as to obtain a data acquisition result.

And the judging unit is used for carrying out fusion judgment on the data acquisition result according to a pre-trained fusion judgment model so as to generate a safety detection result corresponding to each target cross-border electronic commerce order package in the target cross-border electronic commerce order packages.

Optionally, in one embodiment of the present application, the cross-border new business form three-intelligence security inspection device 10 of the embodiment of the present application further comprises a data set construction module, a processing module, an acquisition module, a modeling module, and a training module.

The data set construction module is used for constructing an initial training data set based on preset optional customs wind control data, a preset priori knowledge base, preset detection rules and data acquisition results before fusion judgment is carried out on the data acquisition results according to a pre-trained fusion judgment model.

And the processing module is used for carrying out data preprocessing and feature processing on the initial training data set so as to generate a standard training data set.

The system comprises an acquisition module, a scoring sub-model and a scoring sub-model, wherein the acquisition module is used for acquiring at least one industry type corresponding to a plurality of target cross-border e-commerce order packages and determining a scoring sub-model corresponding to each industry type in the at least one industry type.

And the modeling module is used for combining the scoring sub-models corresponding to each industry type according to a preset integrated learning strategy so as to construct a fusion judgment model.

And the training module is used for training and optimizing the fusion judgment model based on the standard training data set and the performance evaluation index so as to obtain a pre-trained fusion judgment model.

Alternatively, in one embodiment of the application, the tile module 200 includes a determining unit and a packaging unit.

And the determining unit is used for determining a container assembly list based on the destination of each target cross-border e-commerce order package and the container size of the transport vehicle.

The packaging unit is used for packaging and coding each target cross-border electronic commerce order package, sorting the packaged and coded target cross-border electronic commerce order packages, and assembling and sealing the sorted target cross-border electronic commerce order packages through the container assembly list to generate a list total order.

Optionally, in one embodiment of the present application, the inspection module 300 includes an uploading unit, a modeling unit, an analyzing unit, and a distribution unit.

The uploading unit is used for storing the security detection result and the list total order based on a preset digital twin strategy, and uploading the security detection result and the list total order to the three-intelligent supply chain security management platform.

The modeling unit is used for constructing a preset logistics supervision model according to a preset application strategy of the Internet of things and a preset supply chain event management strategy.

And the analysis unit is used for classifying the packages to be inspected and the packages without inspection in the multiple target cross-border electronic commerce order packages based on the preset customs inspection simplification requirement.

And the delivery unit is used for inspecting the package to be inspected according to the three-intelligent supply chain safety management platform and the preset logistics supervision model, and delivering the package to be inspected after inspection and inspection to the target overseas consumer.

It should be noted that the foregoing explanation of the embodiment of the cross-border new-property three-intelligence security inspection method is also applicable to the cross-border new-property three-intelligence security inspection device of the embodiment, and is not repeated herein.

The cross-border new business three-intelligent security inspection device comprises a detection module, a box assembly module and a checking module, wherein the detection module is used for carrying out security detection on a plurality of target cross-border electronic business order packages based on a preset three-intelligent inspection machine to obtain security detection results, the box assembly module is used for determining container assembly lists of the plurality of target cross-border electronic business order packages, carrying out packaging and sorting processing on the plurality of target cross-border electronic business order packages, carrying out box assembly and sealing on the packaged and sorted plurality of target cross-border electronic business order packages according to the container assembly lists to obtain a box assembly and a list total distribution list of the packaged plurality of target cross-border electronic business order packages, and sending the security detection results and the list total distribution list to a preset three-intelligent supply chain security management platform, so that customs can check the plurality of target cross-border electronic business order packages according to the three-intelligent supply chain security management platform, a preset logistics supervision model and a preset customs checking simplification requirement, and send the packaged plurality of target cross-border electronic business order packages to consumers through preset international logistics. The application can implement comprehensive safety detection on complex goods, complex owners, complex sources, complex forms, dense stacking and other situations in the container in an embedded, homeopathic and shared mode, and digitally convert and intelligently upgrade the international supply chain security check paradigm and technical equipment, further strengthen trade safety, accelerate customs service processing and support cross-border new business development.

Fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device may include:

a memory 801, a processor 802, and a computer program stored on the memory 801 and executable on the processor 802.

The processor 802 implements the cross-border new amateur three-intelligence security method provided in the above embodiments when executing a program.

Further, the electronic device further includes:

A communication interface 803 for communication between the memory 801 and the processor 802.

A memory 801 for storing a computer program executable on the processor 802.

The memory 801 may include high-speed RAM memory or may further include non-volatile memory (non-volatile memory), such as at least one magnetic disk memory.

If the memory 801, the processor 802, and the communication interface 803 are implemented independently, the communication interface 803, the memory 801, and the processor 802 may be connected to each other through a bus and perform communication with each other. The bus may be an industry standard architecture (Industry Standard Architecture, abbreviated ISA) bus, an external device interconnect (PERIPHERAL COMPONENT, abbreviated PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, abbreviated EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, only one thick line is shown in fig. 8, but not only one bus or one type of bus.

Alternatively, in a specific implementation, if the memory 801, the processor 802, and the communication interface 803 are integrated on a chip, the memory 801, the processor 802, and the communication interface 803 may communicate with each other through internal interfaces.

The processor 802 may be a central processing unit (Central Processing Unit, abbreviated as CPU), or an Application SPECIFIC INTEGRATED Circuit, abbreviated as ASIC, or one or more integrated circuits configured to implement embodiments of the present application.

The embodiment of the application also provides a computer readable storage medium, on which a computer program is stored, which when being executed by a processor, realizes the cross-border new business state three-intelligence security check method.

The embodiment of the application also provides a computer program product, which comprises a computer program, wherein the computer program is used for realizing the cross-border new business state three-intelligence security inspection method when being executed.

In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.

Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, "N" means at least two, for example, two, three, etc., unless specifically defined otherwise.

Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order from that shown or discussed, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.

Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include an electrical connection (an electronic device) having one or more wires, a portable computer diskette (a magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.

It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware as in another embodiment, it may be implemented using any one or combination of techniques known in the art, discrete logic circuits with logic gates for implementing logic functions on data signals, application specific integrated circuits with appropriate combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.

Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.

The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. While embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.

Claims

1. A cross-border new business state three-intelligence security inspection method is characterized by comprising the following steps:

based on a preset three-intelligent inspection machine, carrying out security detection on a plurality of target cross-border electronic commerce order packages to obtain a security detection result;

Determining container assembly lists of the target cross-border electronic commerce order packages, packaging and sorting the target cross-border electronic commerce order packages, and packaging and sealing the packaged and sorted target cross-border electronic commerce order packages according to the container assembly lists to obtain a list total order of the packaged and packaged target cross-border electronic commerce order packages;

And sending the security detection result and the list total order to a preset three-intelligent supply chain security management platform, so that customs can inspect the multiple target cross-border electronic commerce order packages according to the three-intelligent supply chain security management platform, a preset logistics supervision model and a preset customs inspection simplification requirement, and delivering the inspected multiple target cross-border electronic commerce order packages to target overseas consumers through a preset international logistics enterprise.

2. The method according to claim 1, wherein the security detection is performed on the plurality of target cross-border e-commerce order packages based on the preset three-intelligence inspection machine to obtain a security detection result, including:

Constructing the three-intelligence inspection machine by using a preset multi-characteristic CT device, an X-ray diffraction device, a millimeter wave radar device and a nuclear radiation detection device based on gratings;

Detecting and shunting the plurality of target cross-border e-commerce order packages according to a preset priori knowledge base and a preset detection rule to obtain detection and shunting data;

Determining a data acquisition area of the three-intelligent inspection machine, determining target detection equipment of the three-intelligent inspection machine when the multiple target cross-border e-commerce order packages pass through the data acquisition area, and simultaneously adjusting detection parameters of the target detection equipment;

based on the target detection equipment and the detection parameters, utilizing the three-intelligent inspection machine to acquire data of the target cross-border electronic commerce order packages so as to obtain a data acquisition result;

And carrying out fusion judgment on the data acquisition result according to a pre-trained fusion judgment model so as to generate a safety detection result corresponding to each target cross-border electronic commerce order package in the target cross-border electronic commerce order packages.

3. The method of claim 2, further comprising, prior to making a fusion decision on the data acquisition result according to the pre-trained fusion decision model:

constructing an initial training data set based on preset selectable customs wind control data, the preset priori knowledge base, the preset detection rules and the data acquisition result;

performing data preprocessing and feature processing on the initial training data set to generate a standard training data set;

acquiring at least one industry type corresponding to the target cross-border e-commerce order packages, and determining a scoring sub-model corresponding to each industry type in the at least one industry type;

Combining scoring sub-models corresponding to each industry type according to a preset integrated learning strategy to construct a fusion judgment model;

and training and optimizing the fusion judgment model based on the standard training data set and the performance evaluation index to obtain the pre-trained fusion judgment model.

4. The method of claim 2, wherein the determining the container fit list of the plurality of target cross-border e-commerce order packages, and packaging and sorting the plurality of target cross-border e-commerce order packages, and the packaging and sorting the plurality of target cross-border e-commerce order packages according to the container fit list, and the packaging and packaging to obtain a total inventory of the packaged and packaged plurality of target cross-border e-commerce order packages, comprises:

Determining the container fit manifest based on the destination of each target cross-border e-commerce order package and the container size of the transport vehicle;

Packaging and coding the target cross-border electronic commerce order packages, sorting the target cross-border electronic commerce order packages after packaging and coding, and packaging the sorted target cross-border electronic commerce order packages through the container assembly list to generate the list total order.

5. The method of claim 2, wherein the sending the security detection result and the inventory total order to a preset three-intelligent supply chain security management platform, so that customs checks the plurality of target cross-border e-commerce order packages according to the three-intelligent supply chain security management platform, a preset logistics supervision model and a preset customs inspection simplification requirement, and distributes the checked plurality of target cross-border e-commerce order packages to target overseas consumers through a preset international logistics enterprise, comprises:

Based on a preset digital twin strategy, storing the safety detection result and the list total order, and uploading the safety detection result and the list total order to the three-intelligent supply chain safety management platform;

constructing a preset logistics supervision model according to a preset application strategy of the Internet of things and a supply chain event management strategy;

classifying packages to be inspected and packages to be inspected in the target cross-border electronic commerce order packages based on the preset customs inspection simplification requirement;

and inspecting the package to be inspected according to the three-intelligent supply chain safety management platform and the preset logistics supervision model, and distributing the package to be inspected after inspection-free package inspection and inspection to the target overseas consumer.

6. A cross-border new business state three-intelligence security inspection device is characterized by comprising:

the detection module is used for carrying out safety detection on a plurality of target cross-border electronic commerce order packages based on a preset three-intelligence inspection machine so as to obtain a safety detection result;

the box assembly module is used for determining container assembly lists of the target cross-border electronic commerce order packages, packaging and sorting the target cross-border electronic commerce order packages, and assembling and sealing the packaged and sorted target cross-border electronic commerce order packages according to the container assembly lists to obtain a list total order of the box assembly and the packaged target cross-border electronic commerce order packages;

And the checking module is used for sending the security detection result and the list total order to a preset three-intelligent supply chain security management platform, so that customs checks the multiple target cross-border electronic commerce order packages according to the three-intelligent supply chain security management platform, a preset logistics supervision model and a preset customs checking simplified requirement, and distributes the checked multiple target cross-border electronic commerce order packages to target overseas consumers through a preset international logistics enterprise.

7. The apparatus of claim 6, wherein the detection module comprises:

the construction unit is used for constructing the three-intelligence inspection machine by utilizing a preset grating-based multi-characteristic CT device, an X-ray diffraction device, a millimeter wave radar device and a nuclear radiation detection device;

the shunt unit is used for carrying out detection and shunt processing on the plurality of target cross-border e-commerce order packages according to a preset priori knowledge base and preset detection rules so as to obtain detection and shunt data;

the adjusting unit is used for determining a data acquisition area of the three-intelligent inspection machine, determining target detection equipment of the three-intelligent inspection machine when the plurality of target cross-border electronic commerce order packages pass through the data acquisition area, and simultaneously adjusting detection parameters of the target detection equipment;

The acquisition unit is used for acquiring data of the target cross-border electronic commerce order packages by utilizing the three-intelligence inspection machine based on the target detection equipment and the detection parameters so as to obtain a data acquisition result;

and the judging unit is used for carrying out fusion judgment on the data acquisition results according to a pre-trained fusion judgment model so as to generate a safety detection result corresponding to each target cross-border electronic commerce order package in the target cross-border electronic commerce order packages.

8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the cross-border new amateur three-intelligence security method of any one of claims 1-5.

9. A computer readable storage medium having stored thereon a computer program, wherein the program is executed by a processor for implementing a cross-border new business form three-intelligence security method as claimed in any one of claims 1 to 5.

10. A computer program product comprising a computer program, characterized in that the computer program is executed for implementing a cross-border new amateur security method as defined in any one of claims 1-5.