CN114819892B

CN114819892B - Data collection method, device, electronic device and medium combining RPA and AI

Info

Publication number: CN114819892B
Application number: CN202210411684.9A
Authority: CN
Inventors: 曹瑞珩
Original assignee: Shanghai Laiyibert Network Technology Co ltd; Laiye Technology Beijing Co Ltd
Current assignee: Shanghai Laiyibert Network Technology Co ltd; Laiye Technology Beijing Co Ltd
Priority date: 2022-04-19
Filing date: 2022-04-19
Publication date: 2025-02-25
Anticipated expiration: 2042-04-19
Also published as: CN114819892A

Abstract

The method comprises the steps of acquiring a file to be processed by adopting a robot process automation RPA, identifying data to be reported from the file to be processed by adopting an artificial intelligence AI, wherein the data to be reported has corresponding data description information, reporting the data to be reported to a data acquisition platform according to the data description information, and effectively improving the efficiency and the automation degree of data acquisition and the accuracy and the convenience of data reporting and reducing the resource consumption of data acquisition due to the fact that the data acquisition is carried out by utilizing the robot process automation RPA and the artificial intelligence AI.

Description

Data acquisition method and device combining RPA and AI, electronic equipment and medium

Technical Field

The present disclosure relates to the field of natural language processing (Natural Language Processing, NLP), and more particularly, to a data collection method, apparatus, electronic device, and medium that combine RPA (Robotic Process Automation ) and AI (ARTIFICIAL INTELLIGENCE, artificial intelligence).

Background

Robot process automation (Robotic Process Automation) is called RPA for short, and is to simulate the operation of a person on a computer through specific robot software, and automatically execute process tasks according to rules.

Artificial intelligence (ARTIFICIAL INTELLIGENCE, AI) is a technical science that studies, develops theories, methods, techniques and application systems for simulating, extending and expanding human intelligence.

The enterprise under regulation is short for enterprises below the scale, and refers to legal units with annual main business income of 2000 ten thousand yuan or less in the statistical range, and the related technology generally uses a manual collection reporting mode for data collection of the enterprise under regulation.

In this way, larger resource consumption (such as human resources, time resources, etc.) is needed, the data statistics efficiency is low, the automation degree is low, and the statistics accuracy and convenience are insufficient.

Disclosure of Invention

The present disclosure aims to solve, at least to some extent, one of the technical problems in the related art.

Therefore, the purpose of the disclosure is to provide a data acquisition method, device, electronic equipment and medium combining with RPA and AI, which can effectively improve the efficiency and automation degree of data acquisition, effectively improve the accuracy and convenience of data reporting, and reduce the resource consumption of data acquisition.

The data acquisition method combining the RPA and the AI provided by the embodiment of the first aspect of the disclosure comprises the steps of acquiring a file to be processed by adopting a robot process automation RPA, identifying data to be reported from the file to be processed by adopting an artificial intelligence AI, wherein the data to be reported has corresponding data description information, and reporting the data to be reported to a data acquisition platform according to the data description information.

According to the data acquisition method combining the RPA and the AI, the robot process automation RPA is adopted to acquire the file to be processed, the artificial intelligence AI is adopted to identify the data to be reported from the file to be processed, wherein the data to be reported has corresponding data description information, and the data to be reported is reported to the data acquisition platform according to the data description information.

The data acquisition device combining the RPA and the AI provided by the embodiment of the second aspect of the disclosure comprises a first acquisition module, an identification module and a reporting module, wherein the first acquisition module is used for acquiring a file to be processed by adopting the robot flow automation RPA, the identification module is used for identifying data to be reported from the file to be processed by adopting the artificial intelligence AI, the data to be reported has corresponding data description information, and the reporting module is used for reporting the data to be reported to a data acquisition platform according to the data description information.

According to the data acquisition device combining the RPA and the AI, the robot process automation RPA is adopted to acquire the file to be processed, the artificial intelligence AI is adopted to identify the data to be reported from the file to be processed, wherein the data to be reported has corresponding data description information, and the data to be reported is reported to the data acquisition platform according to the data description information.

The electronic device provided by the embodiment of the third aspect of the disclosure comprises at least one processor and a memory, wherein the memory stores computer-executable instructions, and the at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor executes the data acquisition method combining RPA and AI provided by the embodiment of the first aspect of the disclosure.

An embodiment of a fourth aspect of the present disclosure proposes a computer-readable storage medium, where computer-executable instructions are stored, and when a processor executes the computer-executable instructions, the data acquisition method combining RPA and AI proposed by the embodiment of the first aspect of the present disclosure is implemented.

Additional aspects and advantages of the disclosure 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 disclosure.

Drawings

The foregoing and/or additional aspects and advantages of the present disclosure 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 data acquisition method combining RPA and AI according to one embodiment of the disclosure;

FIG. 2 is a flow chart of a data acquisition method combining RPA and AI according to another embodiment of the disclosure;

FIG. 3 is a flow chart of a data acquisition method combining RPA and AI according to another embodiment of the disclosure;

FIG. 4 is a schematic diagram of a subject information list according to another embodiment of the present disclosure;

FIG. 5 is a schematic diagram of an information delivery address writing control interface according to another embodiment of the present disclosure;

FIG. 6 is a schematic diagram of a prompt message writing control interface provided by another embodiment of the present disclosure;

FIG. 7 is a schematic diagram of a data acquisition platform selection interface according to another embodiment of the present disclosure;

FIG. 8 is a schematic diagram of a statistical interface of a data acquisition platform according to another embodiment of the present disclosure;

FIG. 9 is a schematic diagram of a data acquisition device combining RPA and AI according to one embodiment of the disclosure;

FIG. 10 is a schematic structural diagram of a data acquisition device incorporating RPA and AI according to another embodiment of the disclosure;

fig. 11 shows a block diagram of an electronic device according to an embodiment of the present disclosure.

Detailed Description

Embodiments of the present disclosure 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 exemplary only for explaining the present disclosure and are not to be construed as limiting the present disclosure. On the contrary, the embodiments of the disclosure include all alternatives, modifications, and equivalents as may be included within the spirit and scope of the appended claims.

In the description of the present disclosure, the term "plurality" refers to two or more.

In the description of the present disclosure, the term "robotic process automation RPA" refers to the automatic execution of process tasks on a computer by robotic application software according to rules.

In the description of this disclosure, the term "artificial intelligence AI" refers to the discipline of studying certain mental processes and intelligent behaviors (e.g., learning, reasoning, thinking, planning, etc.) that make a computer simulate a person, both hardware-level and software-level techniques. The artificial intelligent hardware technology generally comprises technologies such as a sensor, a special artificial intelligent chip, cloud computing, distributed storage, big data processing and the like, and the artificial intelligent software technology mainly comprises a computer vision technology, a voice recognition technology, a natural language processing technology, a machine learning technology, a deep learning technology, a big data processing technology, a knowledge graph technology and the like.

In the description of the present disclosure, the term "to-be-processed file" refers to a file to be subjected to reporting processing on related data, and in the embodiment of the present disclosure, the to-be-processed file may be a file in which various types of enterprise data to be reported, collected and counted are located, where the to-be-processed file may have various file types, for example, a table file, or a document file, which is not limited thereto.

In the description of the present disclosure, the term "data to be reported" refers to data related to enterprise operation to be reported to a data acquisition platform, where the data to be reported may be directly identified from data information related to a file to be processed, or the data to be reported may be obtained by integrating data information related to the file to be processed, and the data to be reported may have corresponding data description information, which is not limited.

In the description of the present disclosure, the term "data description information" refers to data information describing one or more relevant features of data to be reported, and the data description information may be a data type, an enterprise to which the data belongs, a data name, a file type and name to which the data belongs, and the like, which is not limited.

In the description of the present disclosure, the term "data collection platform" refers to a platform for collecting, integrating, displaying, and backing up data, and the platform may be a cloud service platform, or may also be any other possible form of data collection system, and the like, which is not limited thereto.

In the description of the present disclosure, the term "data acquisition tag" refers to a data tag that is set in advance in a data acquisition platform and is used for identifying various data description information, and the data description information can be classified by using the data acquisition tag, so that data to be reported is convenient to arrange.

In the description of the present disclosure, the term "data collection area" refers to an area in a data collection platform for storing collected data, and a data collection tag corresponds to the data collection area, so as to be used for classifying, storing and recording stored data to be reported.

In the description of the present disclosure, the term "alert setting instruction" refers to instruction information for alerting a corresponding subject according to reported data related to enterprise operation.

In the description of the present disclosure, the term "data feature to be reminded" refers to a data feature that data related to enterprise operation has.

In the description of the present disclosure, the term "the subject to which the data feature to be reminded belongs" refers to the subject to which the data feature to be reminded is described, for example, if the data feature to be reminded is a sales unit, the subject to which the data feature to be reminded belongs may be an enterprise to which the sales unit belongs.

In the description of the present disclosure, the term "main body information" refers to basic information corresponding to a main body to which a feature of data to be reminded belongs, where the main body information may include basic information of the main body, including contacts, contact information, location information, and the like, which is not limited.

In the description of the present disclosure, the term "reporting status" refers to a status that a subject reports, and the reporting status may be various of "not reported", "reported", and the like, which is not limited thereto.

In the description of the present disclosure, the term "body information list" refers to a data list for storing body information corresponding to an unreported body.

In the description of the present disclosure, the term "information transmission platform" refers to a platform for sorting and transmitting prompt information, and according to the type of the prompt mode, different information transmission platforms may be selected, or multiple types of prompt modes may be integrated into the same information transmission platform, which is not limited.

In the description of the present disclosure, the term "information transfer address writing control" refers to a control for writing an information transfer address.

In the description of the present disclosure, the term "main body side electronic device" refers to an electronic device corresponding to an information transmission address, and the main body side electronic device may be, for example, a fixed phone, a mobile phone, a computer, or the like, which is not limited thereto.

In the description of the present disclosure, the term "information transmission address" refers to a transmission address corresponding to the electronic device on the main body side, and the phone number, the mailbox number and the real address may all be used as the information transmission address, which is not limited.

In the description of the present disclosure, the term "alert message writing control" refers to a control for writing and adjusting a reporting alert message.

In the description of the present disclosure, the term "message transmission control" refers to a control for transmitting a prompt message to an information transmission address, and the transmission manner includes, but is not limited to, sending a short message, broadcasting a voice call, sending an email, and the like.

Fig. 1 is a flow chart of a data collection method combining RPA and AI according to an embodiment of the disclosure.

The data collection method combining RPA and AI is configured as a data collection device combining RPA and AI, and the data collection method combining RPA and AI of the present embodiment may be configured in a data collection device combining RPA and AI, and the data collection device combining RPA and AI may be provided in a server or may also be provided in an electronic device, which is not limited in this embodiment of the present disclosure.

The present embodiment takes an example in which the data collection method combining RPA and AI is configured in an electronic device. Among them, electronic devices such as smartphones, tablet computers, personal digital assistants, electronic books, and the like have hardware devices of various operating systems.

The execution body of the embodiment of the present disclosure may be, for example, a server or a central processing unit (Central Processing Unit, CPU) in an electronic device in hardware, and may be, for example, a server or a related background service in an electronic device in software, which is not limited.

In addition, the "acquisition" in the embodiments of the present disclosure refers to a data acquisition process combining robot flow automation RPA and artificial intelligence AI, that is, the data acquisition process is a full-flow automated data acquisition process, and the data acquisition process is further combined with the artificial intelligence AI to implement data acquisition automatically combined with a method in the field of natural language processing (Natural Language Processing, NLP).

The present disclosure may find particular application in the field of natural language processing (Natural Language Processing, NLP) of artificial intelligence AI, natural language processing (Natural Language Processing, NLP), i.e., based on computer science, artificial intelligence, linguistics focus on interactions between computer and human (natural) language.

For example, in the embodiment of the disclosure, based on the full-flow automatic data acquisition process, the method can automatically execute the acquisition of the file to be processed by adopting the robot flow automatic RPA, identify the data to be reported from the file to be processed by adopting the artificial intelligence AI, and report the data to be reported to the data acquisition platform according to the data description information.

It should be noted that, in the embodiment of the disclosure, the data information related to the processing is collected after the related user authorization, and the process of the data information accords with the rules of related laws and regulations and does not violate the popular regulations of the public order.

As shown in fig. 1, the data acquisition method combining RPA and AI includes:

S101, acquiring a file to be processed by adopting a robot process automation RPA.

The robot process automation RPA is to automatically execute process tasks on a computer according to rules through robot application software.

The file to be subjected to reporting processing on the related data may be referred to as a file to be processed, where various enterprise data to be reported, collected and counted are located, and the file to be processed may have various file types, for example, a table file, a document file, or the like, which is not limited thereto.

That is, an application scenario in the embodiments of the present disclosure may specifically be, for example, that a robot process is adopted to automatically obtain an enterprise list and related information in an RPA area, the obtained data information in a file form is used as a file to be processed, and then the data collection method combining RPA and AI is combined to automatically obtain the enterprise information to be reported meeting the screening condition from the data information related to the file to be processed, or the data collection method combining RPA and AI described in the embodiments of the present disclosure may also be applied to any other possible data collection scenario, which is not limited.

In the embodiment of the disclosure, when the robot flow automation RPA is adopted to obtain the file to be processed, the file collection interface may be preconfigured, and in combination with the robot flow automation RPA, according to a preset software operation flow, the file collection interface is used for scanning the related files of the enterprise running conditions of enterprises under various regulations under the line, and then the scanned electronic file which can be identified and read is used as the file to be processed, which is not limited.

In other embodiments, a third party data acquisition device may be adopted, a communication link between the execution main body of the embodiment of the disclosure and the third party data acquisition device may be established in advance, the related files of the enterprise running conditions of the enterprises under various regulations collected by the third party data acquisition device may be obtained based on the robot process automation RPA, and then the collected electronic files which may be identified and read may be used as the files to be processed, or any other possible ways based on the robot process automation RPA may be adopted to obtain the files to be processed, which is not limited.

In the embodiment of the disclosure, the server may receive the file to be processed uploaded by the enterprise user, a specific folder for storing the file to be processed may be set, whether the file to be processed uploaded by the enterprise user is detected in the specific folder, or a specific format may be used to name the file to be processed, the server may receive the file, identify the file name, and determine and obtain the file to be processed, which is not limited.

S102, identifying data to be reported from the file to be processed by adopting an artificial intelligence AI, wherein the data to be reported has corresponding data description information.

The data to be reported to the enterprise operation related data of the data acquisition platform may be referred to as data to be reported, where the data to be reported may be directly identified from data information related to the file to be processed, or the data to be reported may be obtained by integrating data information related to the file to be processed, and the data to be reported may have corresponding data description information, which is not limited.

The data information describing one or more relevant features of the data to be reported may be referred to as data description information, where the data description information may be a data type, a data name, a file type and name to which the data belongs, and the like, which is not limited.

For example, if the data to be reported is enterprise operation data, the data description information may be an enterprise name, an enterprise sales, operation status of each department of the enterprise, and the like.

In the embodiment of the disclosure, the data to be reported may be directly identified from the data information related to the file to be processed by using the artificial intelligence AI, or may be determined by integrating the data information related to the file to be processed.

In the embodiment of the disclosure, when the data to be reported is identified from the file to be processed by adopting the artificial intelligence AI, the data to be reported can be identified from the file to be processed based on a data analysis technology, or a data identification model can be constructed and trained by adopting the artificial intelligence AI, the data to be reported can be identified from the file to be processed by using the data identification model, or any other possible implementation manner can be used for identifying the data to be reported from the file to be processed, so that the method is not limited.

For example, the data description information corresponding to the data to be reported may include marking information for information identification, and the image identification technology and/or the text identification technology in the artificial intelligence AI may be used to identify the data to be reported from the file to be processed by combining the marking information, which is not limited.

And S103, reporting the data to be reported to the data acquisition platform according to the data description information.

The data collection platform refers to a platform for collecting, integrating, displaying and backing up data, and the platform may be a cloud service platform or may be any other data collection system in any possible form, which is not limited thereto.

In the embodiment of the disclosure, corresponding screening conditions can be set, data description information can be screened, and the data to be reported can be reported to the data acquisition platform according to the screening result, or the data to be reported can be classified according to the data description information, and the data to be reported can be reported to the data acquisition platform according to the classification result without limitation.

Optionally, in some embodiments, a threshold value of the data description value may be set, a data description value corresponding to each type of data is determined according to the data description information, the data meeting the threshold value is screened to be the data to be reported, and the data to be reported is reported to the data acquisition platform, which is not limited.

For example, an enterprise whose sales volume does not exceed a certain amount and corresponding enterprise information can be set as the data to be reported, so that a threshold value for screening sales volume is set, for example, 2000 ten thousand yuan or the like, an enterprise whose sales volume is lower than 2000 ten thousand yuan is screened, and the enterprise name and corresponding basic information are reported as the data to be reported to the data acquisition platform.

Optionally, in other embodiments, a data classification manner may be further used, a classification rule is preset, and different data to be reported are processed according to the classification rule and reported to the data acquisition platform.

For example, the enterprise may be classified into a regular enterprise, a medium-sized enterprise, a large-sized enterprise, and the like, and classified according to data description information such as sales, employee numbers of the enterprise, and the like, and the classified data is reported to the data acquisition platform as data to be reported.

In the embodiment of the disclosure, for information security consideration, the verification code can be set for logging in the data acquisition platform, and in the process of logging in the data acquisition platform, the verification code can be automatically identified by using an optical character recognition (Optical Character Recognition, OCR) technology, so that automation of a logging in process is realized.

In this embodiment, the to-be-reported data is identified from the to-be-processed file by adopting the robot process automation RPA, and the to-be-reported data is identified from the to-be-processed file by adopting the artificial intelligence AI, wherein the to-be-reported data has corresponding data description information, and is reported to the data acquisition platform according to the data description information.

Fig. 2 is a flow chart of a data acquisition method combining RPA and AI according to another embodiment of the disclosure.

As shown in fig. 2, the data acquisition method combining RPA and AI includes:

S201, acquiring a file to be processed by adopting a robot process automation RPA.

S202, identifying data to be reported from a file to be processed by adopting an artificial intelligence AI, wherein the data to be reported has corresponding data description information.

The descriptions of S201 to S202 may be specifically referred to the above embodiments, and are not repeated herein.

S203, determining a data acquisition label in the data acquisition platform according to the data description information, wherein the data acquisition label corresponds to the data acquisition area.

Various data labels can be arranged in the data acquisition platform in advance and used for identifying various data description information, the data labels can be called data acquisition labels, and the data description information can be classified by using the data acquisition labels, so that data to be reported can be conveniently tidied.

For example, the data collection tag may be, for example, a business name tag, a file type tag, a file name tag, etc., which is not limited.

The data collection area in the data collection platform for storing data may be referred to as a data collection area, and the data collection label corresponds to the data collection area, so as to be used for classifying, storing and recording the stored data to be reported.

In the embodiment of the disclosure, since the data to be reported has the corresponding data description information, a plurality of corresponding data acquisition tags can be set according to the data description information, and the data acquisition tags correspond to the data acquisition areas.

In the embodiment of the disclosure, the name corresponding to the data acquisition label can be directly used as the name of the data acquisition area, so that the correspondence of the data acquisition label and the data acquisition area is realized, or the multi-stage data acquisition label can be set, the data to be reported can be classified, stored and recorded by using the multi-stage data acquisition label, the accuracy and convenience of data reporting are effectively improved, and meanwhile, the classification, storage and recording effects of the data to be reported are improved, so that the data acquisition can be coherent with the frame of the data acquisition platform, the acquired data can be adapted to the integration frame in the data acquisition platform, and the automatic acquisition effect of the data to be reported is ensured.

And S204, reporting the data to be reported to a data acquisition area.

In some embodiments, the data to be reported may be classified according to the data acquisition tag in the process of reporting the data to be reported to the data acquisition area, and the classified data to be reported may be reported to the corresponding data acquisition area.

In other embodiments, the data to be reported may be classified in advance, and stored in a multi-level folder according to the classification result, where a corresponding folder name is set, the folder name is used as a data collection tag name and a data collection area name, and after the data to be reported is reported to the data collection platform, the data collection platform identifies the folder name, configures a corresponding data collection area, and reports the data to be reported to the data collection area, which is not limited.

S205, receiving a reminding setting instruction, wherein the reminding setting instruction comprises data characteristics to be reminded.

It should be noted that, in the embodiment of the present disclosure, the execution order of the step of "receiving the alert setting instruction" and the execution order of the step of "reporting the data to be reported to the data collection area" are not limited.

That is, the data to be reported may be reported to the data acquisition area while the receiving of the alert setting instruction is triggered, which is not limited.

The instruction information for reminding the corresponding main body according to the reported enterprise operation related data can be called a reminding setting instruction.

The reminding is performed according to the data characteristics of the data related to enterprise operation, and the data characteristics can be called as data characteristics to be reminded.

In the embodiment of the disclosure, the feature of the data to be reminded may be threshold information for screening the data to be reported, and the feature of the data to be reminded may be, for example, sales, or may also be a data format, a data size, etc. of the data to be reported, which is not limited.

For example, if it is required to remind an enterprise whose annual business does not satisfy 2000 ten thousand yuan to report data, the instruction information for initiating the reminder is a reminder setting instruction, and the annual business does not satisfy 2000 ten thousand yuan can be used as the feature of the data to be reminded.

In the embodiment of the disclosure, the front end of the data acquisition platform receives the data characteristics to be reminded set by the user and sends the data characteristics to the rear end, and the rear end of the data acquisition platform generates a corresponding reminding setting instruction to perform corresponding reminding setting, wherein the front end of the data acquisition platform can be an interactive end interacted with the user, such as an interactive interface and the like, and the rear end can be a platform background for storing the preprocessed data, so that the generation and the reception of the reminding setting instruction are realized, and the method is not limited.

S206, determining main body information of the main body to which the data to be reminded features belong.

The main body to which the data feature to be reminded belongs is a main body to which the data feature to be reminded is described, for example, if the data feature to be reminded is a turnover, the main body to which the turnover belongs may be an enterprise to which the turnover belongs.

The basic information corresponding to the main body to which the data feature to be reminded belongs may be referred to as main body information, where the main body information may include basic information of the main body, including contacts, contact ways, location information, and the like, which is not limited.

In the embodiment of the disclosure, a plurality of main bodies and main body information corresponding to the main bodies may be stored in advance in the data acquisition platform, after the main body to which the data feature to be reminded belongs is determined, the main body information of the main body to which the data feature to be reminded belongs is determined, or the main body and the main body information may be managed as a data acquisition tag, the main body and the main body information are obtained by analyzing the data to be reported, and after the main body to which the data feature to be reminded belongs is determined, the corresponding main body information is determined according to the data acquisition tag, or the main body information of the main body to which the data feature to be reminded belongs may be determined by using any other possible implementation method, which is not limited.

And S207, prompting the affiliated main body to report data in time according to the main body information.

In the embodiment of the disclosure, the prompting mode of the subject can be obtained by analyzing the subject information, so that the subject is prompted to report in time, or an information prompting system can be set, and the subject is prompted to report data in time by using the information prompting system according to the subject information, so that the method is not limited.

Optionally, in some embodiments, according to the main body information, the reporting state of the subject is determined, if the reporting state indicates that the subject is not reported, the subject is prompted to report data in time, and because the reporting state of the subject is predetermined, the reported subject can be accurately screened, the subject which is not reported is determined, the reporting condition of the subject can be accurately determined, repeated reporting is prevented, meanwhile, resource occupation caused by repeated prompting is effectively reduced, and prompting efficiency is effectively improved.

In other embodiments, when the reporting status indicates that the main body has been reported, the information related to the main body may be deleted from the main body information list, or the prompting step of the main body may be directly skipped, which is not limited.

The reporting state of the main body is a state corresponding to whether the main body reports or not, and the reporting state can be various types such as 'not reported', 'reported', and the like, which is not limited.

In the embodiment of the disclosure, according to the subject information, the reporting state of the subject is determined, the state identification identifier may be set, and added to the subject information, the subject information is analyzed, and the state identification identifier is determined, so as to be used for identifying the reporting state of the subject, or a corresponding state query tool may be set to query the reporting state of the subject, or any other possible implementation manner may be used to determine the reporting state of the subject, which is not limited.

In the embodiment of the disclosure, the prompt belongs to a main body and reports data in time, so that various prompt modes such as a short message prompt, a telephone prompt and a mailbox prompt can be used, the main body information can be combined according to the prompt function of the data acquisition platform, a proper prompt mode is selected, the prompt mode can be selected flexibly and adaptively, and the prompt efficiency is effectively improved. In some application scenarios, the data acquisition platform may also acquire the data to be reported in advance, report the data to be reported to the data acquisition area, then trigger to receive a reminder setting instruction, determine the main body information of the main body to which the feature of the data to be reminded belongs, screen the main body information, and prompt the main body to report the data in time according to the screening result, which is not limited.

In this embodiment, because the robot process is used to automatically perform data collection with the RPA and the artificial intelligence AI, the efficiency and the automation degree of data collection can be effectively improved, the accuracy and the convenience of data reporting can be effectively improved, the resource consumption of the data collection is reduced, because the data collection label in the data collection platform is determined according to the data description information, various data in the data collection platform can be endowed with labels, the data to be reported can be effectively classified, because the data to be reported is reported to the data collection area, the data arrangement effect can be improved, the data collection is more orderly, the convenience of the data collection is enhanced, the main body information of the main body to which the data feature to be reminded belongs is determined, the main body to which the main body belongs is timely reported is prompted according to the main body information, the main body to which the main body belongs is prompted to be timely reported, the main body is more convenient and effective, the resource consumption is effectively reduced, the main body to be reported is determined by the data collection platform, the error reporting, the main body caused by manual factors, the reporting condition is improved, the main body is effectively improved, the accuracy of the main body to be reported is prevented from being reported, the main body is not accurately, the main body to be reported is determined, and the main body to be reported is accurately, and the main body to be reported is not accurately, and the main body is accurately reported is determined, and the main body is not reported is determined, and accurately.

Fig. 3 is a flow chart illustrating a data acquisition method combining RPA and AI according to another embodiment of the present disclosure.

As shown in fig. 3, the data acquisition method combining RPA and AI includes:

s301, acquiring a file to be processed by adopting a robot process automation RPA.

S302, identifying data to be reported from the file to be processed by adopting an artificial intelligence AI, wherein the data to be reported has corresponding data description information.

And S303, reporting the data to be reported to the data acquisition platform according to the data description information.

S304, receiving a reminding setting instruction, wherein the reminding setting instruction comprises data characteristics to be reminded.

And S305, determining main body information of a main body to which the data to be reminded features belong.

The descriptions of S301 to S305 may be specifically referred to the above embodiments, and are not repeated herein.

S306, determining the reporting state of the subject according to the subject information.

In the embodiment of the disclosure, according to the main body information, the reporting state of the main body is determined, the reporting state of the main body can be stored in the data acquisition platform and updated in real time, after the main body information is determined, the data acquisition platform queries the reporting state of the main body to which the main body information belongs, or the information corresponding to the reporting state can be stored in the main body information, and according to the data information related to the reporting state of the main body to which the main body information belongs is analyzed, the reporting state of the main body to which the main body belongs is determined, and the method is not limited.

For example, the reported subject information corresponding to the subject includes information corresponding to the reporting status, such as sales, etc., if the subject has been reported, the subject information includes the content of the sales, and if the subject has not been reported, the subject information does not include the content of the sales, so that the reporting status of the subject is determined according to whether the subject information includes the content of the sales.

For example, the information of the corresponding reporting status may be set in the main body information, for example, "reporting status: reported", and the main body information is analyzed at this time to determine the corresponding reporting status.

S307, if the reporting state indicates that the main body is not reported, a main body information list is generated according to the main body information.

The main body information list is a data list for storing main body information of an unreported main body.

For example, as shown in fig. 4, fig. 4 is a schematic diagram of a main body information list according to another embodiment of the present disclosure, and a main body information table for storing main body information, a report data processing table for storing data to be reported, and an information summary execution table for processing and summarizing main body information are added in the collection straight tube folder. If the reporting status indicates that the subject is not reported, the corresponding subject information can be added into the subject information table, so that the subject information in the subject information table can be read later to prompt the subject to which the subject belongs.

In the embodiment of the disclosure, the main body information can be arranged in a format such as a table, a document and the like, so that the main body can be prompted to report data in time, or a main body information processing system can be built, the main body information is processed by the system, the main body can be prompted to report data in time, or the main body information corresponding to the main body to be reported can be screened from the main body information by using a data processing mode, the main body can be prompted to report data in time, and the method is not limited.

And S308, in response to the confirmation of the main body information in the main body information list, starting the information transmission platform.

The information transmission platform is used for sorting and transmitting prompt information, and different information transmission platforms can be selected according to the type of the prompt mode, or multiple types of prompt modes can be integrated into the same information transmission platform, so that the information transmission platform is not limited.

In the embodiment of the disclosure, the information transmission platform may include various controls such as an information transmission address writing control, a prompt message writing control, a message transmission control and the like.

The information transmission address writing control is a control for writing in an information transmission address, the information transmission address is a transmission address corresponding to the main body side electronic equipment, and the telephone number, the mailbox number and the real address can be used as the information transmission address without limitation.

The prompt message writing control is a control for writing prompt messages, a prompt message template can be generated in advance, and main body information is brought into the prompt messages generated in the message template, so that the prompt message writing control is not limited.

The message transmission control is used for transmitting the prompt message to the information transmission address, and the transmission mode includes, but is not limited to, sending a short message, broadcasting a voice call, sending an email and the like, which is not limited.

In the embodiment of the disclosure, after determining the main body information list corresponding to the main body which is not reported, the information transmission platform may be triggered to be started, and the information transmission platform is used to transmit the prompt message to the main body which is not reported and is listed in the main body information list.

In the embodiment of the disclosure, after the main body information list is confirmed, the data acquisition platform generates the start instruction and sends the start instruction to the information transmission platform, and the information transmission platform is automatically started in response to the start instruction, which is not limited.

In some embodiments, for information security, in the process of starting the information transmission platform, a start verification mode, such as verifying an account number password, or verifying a two-dimensional code, may be set, and at this time, an optical character recognition (Optical Character Recognition, OCR) technology may be used to automatically identify the verification code or verify the two-dimensional code, so that the login procedure is automated.

S309, according to the main body information, acquiring the information transmission address of the electronic equipment at the side of the main body.

The main body side electronic equipment is electronic equipment corresponding to the information transmission address.

In the embodiment of the disclosure, the electronic device on the main body side may be an electronic device corresponding to an information transmission address stored in the main body information, and if the information transmission address included in the main body information is a phone number, the electronic device on the main body side is a corresponding phone or a mobile phone, and if the information transmission address included in the main body information is a mailbox number, the electronic device on the main body side is a corresponding email box, and the like, which is not limited.

In the embodiment of the disclosure, the main body information may be analyzed, and the information transmission address of the electronic device on the main body side to which the main body information belongs may be determined directly from the main body information, or the main body information list may be retrieved, and the information transmission address of the electronic device on the main body side to which the main body information belongs may be determined from the main body information list, which is not limited.

And S310, writing the information transmission address into the information transmission address writing control.

The information transmission address writing control is a control for receiving and storing the written information transmission address, the information transmission address is a transmission address corresponding to the main body side electronic equipment, and the telephone number, the mailbox number and the real address can be used as the information transmission address without limitation.

In the embodiment of the disclosure, the information transmission address is written into the information transmission address writing control, the information transmission address can be corresponding to the identifier of the main body side electronic device, a document file or a file format such as a table file is generated, the file is written into the information transmission address writing control according to the document or the table format, or the information transmission address can be directly determined, and the information transmission address is written into the information transmission address writing control, which is not limited.

For example, as shown in fig. 5, fig. 5 is a schematic diagram of an information transmission address writing control interface according to another embodiment of the present disclosure, where the information transmission address writing control is automatically opened, a search bar is located, an information transmission address can be automatically identified and written in the search bar, a rear icon is clicked to determine to transmit a prompt message to the information transmission address, or a body identification identifier (such as a business name) can be written in the search bar, and the body identification identifier is determined to determine a corresponding information transmission address (such as a mobile phone number or a mail box number).

And S311, generating a reporting prompt message according to the main body information.

The description of S311 may be specifically referred to the above embodiments, and will not be repeated here.

And S312, writing the reported prompt message into a prompt message writing control.

The prompt message writing control is used for writing and adjusting the report prompt message, can be used for generating a prompt message template in advance, and brings main body information into the prompt message generated in the message template, and is not limited to the method.

In the embodiment of the disclosure, the reporting prompt message in the fixed format can be directly written into the prompt message writing control by using the reporting prompt message in the fixed format, or the reporting prompt message can be templated, related information is automatically filled in the template, the composition of the reporting prompt message is completed, and the composed reporting prompt message is written into the prompt message writing control, so that the method is not limited.

For example, as shown in fig. 6, fig. 6 is a schematic diagram of a prompt message writing control interface according to another embodiment of the present disclosure, wherein a report prompt message is automatically input in a dialog box, and confirmation and transmission of the report prompt message can be completed by clicking a "send" button, and the report prompt message is transmitted to an information transmission platform.

And S313, transmitting the reporting prompt message to the electronic equipment of the affiliated main body side through the information transmission platform.

In the embodiment of the disclosure, a control may be used to receive the reporting prompt message and transmit the reporting prompt message to the electronic device on the side of the subject via the information transmission platform, or a message transmission system or a message transmission application program may be set and connected to the information transmission platform, and when it is detected that there is a reporting prompt message to be transmitted, the reporting prompt message is transmitted to the electronic device on the side of the subject via the information transmission platform, which is not limited.

Optionally, in response to triggering of the message transmission control, the reporting prompt message is transmitted to the electronic device on the side of the affiliated main body through the message transmission platform, and the reporting prompt message is transmitted to the electronic device on the side of the affiliated main body through the message transmission platform by using the message transmission control, so that the reporting prompt message can be automatically transmitted, the message transmission efficiency is improved, the reporting prompt message is convenient to manage and transmit by setting the message transmission control, and the flexibility of information transmission is improved.

The message transmission control is used for transmitting the reporting prompt message.

In the embodiment of the disclosure, the message transmission control may query the state of the reporting prompt message in real time, and when the transmission of the reporting prompt message is detected, receive the reporting prompt message and the information transmission address, and transmit the reporting prompt message to the electronic device on the main body side corresponding to the information transmission address, or may generate the instruction information to be reported by the information transmission platform, and send the instruction information to the message transmission control, where the message transmission control determines the reporting prompt message to be transmitted and the corresponding information transmission address in response to the instruction information, and transmits the reporting prompt message to the electronic device on the main body side via the information transmission platform, without limitation.

In the embodiment, the robot process is utilized to automatically perform data acquisition by RPA and artificial intelligence AI, so that the efficiency and the automation degree of data acquisition can be effectively improved, the accuracy and the convenience of data reporting can be effectively improved, the resource consumption of data acquisition is reduced, the main body information is determined, the main body is prompted to report data in time, the main body can be effectively reduced without manually determining the main body, the consumption of manpower resources and time cost is effectively reduced, the main body to be reported is determined by using a platform, the conditions of false reporting, missing reporting and the like caused by artificial factors can be effectively reduced, the accuracy of main body determination is effectively improved, the reported main body can be screened due to the reporting state of the main body is predetermined, the unreported main body is determined, the repeated reporting can be effectively prevented, the accuracy of main body prompt is improved, and the resource occupation caused by repeated prompt is effectively reduced, the method improves the data acquisition efficiency, can effectively improve the reporting regularity of the main body information by using the main body information list to arrange a plurality of main body information to be reported, can conveniently manage the main body information and the main body information which are not reported, enhances the information management efficiency, effectively prevents the phenomena of repeated reporting or missing reporting and the like, can sort and transmit the reporting prompt information to the electronic equipment on the side of the main body by using the information transmission platform, improves the information transmission efficiency, enhances the information transmission effect, ensures that the reporting prompt information can be stably and rapidly automatically transmitted to the electronic equipment on the side of the main body, can receive and sort the information transmission address by using the information transmission address writing control, is convenient for managing the information transmission address, the method and the device have the advantages that convenience of information transmission address management is effectively improved, reporting prompt messages can be flexibly edited due to the fact that the prompt message writing control is used, personalized setting is conducted on the reporting prompt messages according to main body information, diversity and flexibility of data transmission are effectively improved, the reporting prompt messages are transmitted to electronic equipment on the side of the main body through the information transmission platform by the aid of the information transmission control, the reporting prompt messages can be automatically transmitted, information transmission efficiency is improved, management and transmission of the reporting prompt messages are facilitated due to the fact that the information transmission control is used, and flexibility of information transmission is improved.

In summary, as shown in fig. 7, fig. 7 is a schematic diagram of a selection interface of a data acquisition platform according to another embodiment of the present disclosure, and after reporting a report prompting message to an information transmission platform, the information transmission platform may call the selection interface so as to facilitate a user to screen main body information to be prompted using appropriate conditions. The selection interface can be used as a schematic diagram of a web page interface or as a schematic diagram of an application program interface, in the selection interface, a condition type selection frame can be used as a screening frame of related conditions, such as a credit value, a yield value and the like, without limitation, a time range selection frame can set a time screening range, a proper object can be conveniently selected according to the time range, a main body type selection frame can be provided with various main body types for more accurate searching and statistics, and a user-defined selection frame can be used for self-defining the screening conditions to meet the diversity and flexibility of screening.

In summary, as shown in fig. 8, fig. 8 is a schematic diagram of a statistical interface of a data collection platform according to another embodiment of the present disclosure, a list of subjects to be prompted may be generated by using a plurality of subjects selected from the interface of fig. 7, and the statistical interface may be used as an interface for statistically displaying subject information to be prompted, where a subject name box is used for listing subjects to be prompted, relevant data information of the subjects, such as a subject type, may be listed in a report element box, corresponding indexes and filtering conditions may be set in an index box and a filtering condition box for further filtering, and various mathematical operators may be added in an operator box for facilitating calculation of data information, such as indexes and filtering conditions, and after processing, a list of subject information that can be derived may be obtained, and a derived key may be set for deriving, and the derived list of subject information may be automatically combined with an information transmission platform for transmitting prompt information to the subjects in the list.

Fig. 9 is a schematic structural diagram of a data acquisition device combining RPA and AI according to an embodiment of the present disclosure.

As shown in fig. 9, the data acquisition device 90 combining RPA and AI includes:

the first acquiring module 901 is configured to acquire a file to be processed by using a robot flow automation RPA;

the identifying module 902 is configured to identify data to be reported from a file to be processed by using an artificial intelligence AI, where the data to be reported has corresponding data description information;

The reporting module 903 is configured to report the data to be reported to the data acquisition platform according to the data description information.

In some embodiments of the present disclosure, as shown in fig. 10, fig. 10 is a schematic structural diagram of a data acquisition device combining RPA and AI according to another embodiment of the present disclosure, where the reporting module 903 is specifically configured to:

Determining a data acquisition tag in the data acquisition platform according to the data description information, wherein the data acquisition tag corresponds to a data acquisition area;

And reporting the data to be reported to the data acquisition area according to the data acquisition label.

In some embodiments of the present disclosure, as shown in fig. 10, the apparatus further comprises:

The receiving module 904 is configured to receive a reminder setting instruction, where the reminder setting instruction includes a feature of data to be reminded;

the determining module 905 is configured to determine main body information of a main body to which the feature of the data to be reminded belongs;

And the prompting module 906 is used for prompting the affiliated main body to report data in time according to the main body information.

In some embodiments of the present disclosure, as shown in fig. 10, the prompting module 906 is specifically configured to:

Determining the reporting state of the subject according to the subject information;

When the reporting state indicates that the main body does not report, the main body is prompted to report data in time.

when the reporting state indicates that the main body is not reported, a main body information list is generated according to main body information;

and responding to the confirmation of the main body information in the main body information list, and prompting the affiliated main body to report data in time.

Responding to the confirmation of the main body information in the main body information list, and starting an information transmission platform;

Generating a reporting prompt message according to the main body information;

and transmitting the reporting prompt message to the electronic equipment of the affiliated main body side through the information transmission platform.

In some embodiments of the present disclosure, as shown in FIG. 10, an information delivery platform includes an information delivery address write control;

Wherein the apparatus further comprises:

A second obtaining module 907, configured to obtain, according to the main body information, an information transmission address of the electronic device on the side of the main body after the information transmission platform is started in response to the confirmation of the main body information in the main body information list;

a first writing module 908 is configured to write the information transfer address into the information transfer address writing control.

In some embodiments of the present disclosure, as shown in FIG. 10, an information transmission platform includes a hint message write control;

Wherein the apparatus further comprises:

The second writing module 909 is configured to write the reporting prompt message into the prompt message writing control after generating the reporting prompt message according to the main body information.

In some embodiments of the present disclosure, as shown in FIG. 10, an information transmission platform includes a message transmission control;

the prompting module 906 is specifically configured to:

and responding to the trigger of the message transmission control, and transmitting the reporting prompt message to the electronic equipment on the side of the affiliated main body through the message transmission platform.

Corresponding to the data acquisition method for combining RPA and AI provided by the embodiments of fig. 1 to 8, the present disclosure also provides a data acquisition device for combining RPA and AI provided by the embodiments of the present disclosure, and since the data acquisition device for combining RPA and AI provided by the embodiments of the present disclosure corresponds to the data acquisition method for combining RPA and AI provided by the embodiments of fig. 1 to 8, the implementation of the data acquisition method for combining RPA and AI is also applicable to the data acquisition device for combining RPA and AI provided by the embodiments of the present disclosure, which is not described in detail in the embodiments of the present disclosure.

The functions of each module in each apparatus of the embodiments of the present disclosure may be referred to the corresponding descriptions in the above methods, which are not repeated herein.

Fig. 11 shows a block diagram of an electronic device according to an embodiment of the present disclosure. As shown in FIG. 11, the electronic device 110 includes a memory 1110 and a processor 1120, the memory 1110 having stored thereon a computer program executable on the processor 1120. The processor 1120, when executing the computer program, implements the data acquisition method combining RPA and AI in the above embodiment. The number of memories 1110 and processors 1120 may be one or more.

The electronic device 110 further includes:

And the communication interface 1130 is used for communicating with external equipment and carrying out data interaction transmission.

If the memory 1110, the processor 1120, and the communication interface 1130 are implemented independently, the memory 1110, the processor 1120, and the communication interface 1130 may be connected to each other and perform communication with each other through buses. The bus may be an industry standard architecture (Industry Standard Architecture, ISA) bus, an external device interconnect (PERIPHERAL COMPONENT INTERCONNECT, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 11, but not only one bus or one type of bus.

Alternatively, in a specific implementation, if the memory 1110, the processor 1120, and the communication interface 1130 are integrated on a single chip, the memory 1110, the processor 1120, and the communication interface 1130 may communicate with each other through internal interfaces.

The disclosed embodiments provide a computer-readable storage medium storing a computer program which, when executed by a processor, implements the data acquisition method combining RPA and AI provided in the disclosed embodiments.

The embodiment of the disclosure also provides a chip, which comprises a processor, and is used for calling the instructions stored in the memory from the memory and running the instructions stored in the memory, so that the communication device provided with the chip executes the data acquisition method combining the RPA and the AI.

The embodiment of the disclosure also provides a chip, which comprises an input interface, an output interface, a processor and a memory, wherein the input interface, the output interface, the processor and the memory are connected through an internal connection path, the processor is used for executing codes in the memory, and when the codes are executed, the processor is used for executing the data acquisition method combining the RPA and the AI provided by the application embodiment.

It should be appreciated that the processor may be a central Processing unit (Central Processing Unit, CPU), other general purpose processor, digital signal processor (DIGITAL SIGNAL Processing, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), field programmable gate array (Field Programmable GATE ARRAY, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. A general purpose processor may be a microprocessor or any conventional processor or the like. It is noted that the processor may be a processor supporting an advanced reduced instruction set machine (ADVANCED RISC MACHINES, ARM) architecture.

Further, optionally, the memory may include a read-only memory and a random access memory, and may further include a nonvolatile random access memory. The memory may be volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), programmable ROM (PROM), erasable Programmable ROM (EPROM), electrically Erasable EPROM (EEPROM), or flash Memory, among others. Volatile memory can include random access memory (Random Access Memory, RAM), which acts as external cache memory. By way of example, and not limitation, many forms of RAM are available. For example, static random access memory (STATIC RAM, SRAM), dynamic random access memory (Dynamic Random Access Memory, DRAM), synchronous Dynamic Random Access Memory (SDRAM), double data rate Synchronous dynamic random access memory (Double DATA DATE SDRAM, DDR SDRAM), enhanced Synchronous dynamic random access memory (ENHANCED SDRAM, ESDRAM), synchronous link dynamic random access memory (SYNCHLINK DRAM, SLDRAM), and Direct memory bus RAM (DR RAM).

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions in accordance with the present disclosure are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. Computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another.

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 disclosure. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more 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.

It should be noted that in the description of the present disclosure, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Furthermore, in the description of the present disclosure, unless otherwise indicated, the meaning of "a plurality" is two or more.

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 further implementations are included within the scope of the preferred embodiment of the present disclosure in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present disclosure.

It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, 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.

Furthermore, each functional unit in the embodiments of the present disclosure 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.

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 disclosure. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

Although embodiments of the present disclosure have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the present disclosure, 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 present disclosure.

Claims

1. A data acquisition method combining RPA and AI, comprising:

acquiring a file to be processed by adopting a robot process automation RPA;

identifying data to be reported from the file to be processed by adopting an artificial intelligence AI, wherein the data to be reported has corresponding data description information;

Reporting the data to be reported to a data acquisition platform according to the data description information;

The method further comprises the steps of:

Receiving a reminding setting instruction, wherein the reminding setting instruction comprises data characteristics to be reminded;

Determining main body information of a main body to which the data feature to be reminded belongs, wherein the main body information comprises contacts, contact ways and position information;

Determining the reporting state of the affiliated main body according to the main body information;

if the reporting state indicates that the main body is not reported, a main body information list is generated according to the main body information;

Generating a reporting prompt message according to the main body information;

2. The method of claim 1, wherein reporting the data to be reported to a data collection platform according to the data description information comprises:

3. The method of claim 1, wherein the information delivery platform comprises an information delivery address write control;

Wherein after the information transmission platform is started in response to the confirmation of the subject information in the subject information list, the method further comprises:

acquiring an information transmission address of the electronic equipment at the side of the subject according to the subject information;

And writing the information transmission address into the information transmission address writing control.

4. The method of claim 1, wherein the information transmission platform comprises a hint message write control;

wherein after the report prompt message is generated according to the main body information, the method further comprises:

and writing the reporting prompt message into the prompt message writing control.

5. The method of claim 1, wherein the information delivery platform comprises a message delivery control;

The step of transmitting the report prompt message to the electronic device on the side of the affiliated main body via the information transmission platform comprises the following steps:

And responding to the trigger of the message transmission control, and transmitting the reporting prompt message to the electronic equipment of the affiliated main body side through the information transmission platform.

6. A data acquisition device combining RPA and AI, comprising:

The first acquisition module is used for acquiring a file to be processed by adopting robot flow automation (RPA);

the identification module is used for identifying data to be reported from the file to be processed by adopting an artificial intelligence AI, wherein the data to be reported has corresponding data description information;

the reporting module is used for reporting the data to be reported to a data acquisition platform according to the data description information;

The device is further configured to:

Generating a reporting prompt message according to the main body information;

7. An electronic device, comprising:

at least one processor and memory;

The memory stores computer-executable instructions;

The at least one processor executing computer-executable instructions stored in the memory causes the at least one processor to perform the combined RPA and AI data collection method of any of claims 1-5.

8. A computer readable storage medium having stored therein computer executable instructions which, when executed by a processor, implement the data acquisition method in combination with RPA and AI of any one of claims 1-5.