CN119990953B - A logistics information management system and method for cargo tracking - Google Patents
A logistics information management system and method for cargo trackingInfo
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Abstract
The invention discloses a logistics information management system and a logistics information management method applied to cargo tracking, which relate to the technical field of logistics information management, wherein logistics attributes in various logistics information in logistics transportation records are extracted, the logistics records are classified according to the logistics attributes, transportation time rules of various logistics attributes in history records are extracted, attribute differences between any two logistics attributes are acquired and collected, actual time of cargo transportation in an inner logistics path is acquired, a time correction value is calculated in an accumulated manner for the difference value between the actual logistics time and a transportation time prediction value, the time of the cargo expected to pass through the logistics path is corrected through the time correction value, whether the logistics state deviates from the expected or not is accurately predicted and tracked in a small scale range, the logistics prediction time is adjusted in real time, and the state of the logistics is finely managed.
Description
Technical Field
The invention relates to the technical field of logistics information management, in particular to a logistics information management system and method applied to goods tracking.
Background
As the traffic of the freight logistics industry is continuously increasing, how to effectively monitor the state of the freight, prevent the loss and damage of the freight in the transportation process, and ensure the timely tracking of the freight becomes a research hot spot in the logistics field. With the development of the internet of things technology, the logistics tracking means are further upgraded. The internet of things technology can realize real-time monitoring and tracking of urban delivery vehicles and cargoes, and can realize whole-course tracking and tracing of cross-border cargoes.
In the prior art, the logistics transportation historical data is generally analyzed, and the time characteristics of the historical logistics transportation time are extracted through a mathematical model such as a time-loop neural network to obtain the management threshold value of the logistics transportation time. However, in the method, on one hand, the time management threshold value is difficult to dynamically adjust according to the real-time condition on the transportation path, and on the other hand, the real-time state of the logistics transportation is difficult to reflect by the management of the time management threshold value in the prior art, so that the abnormal condition of the logistics state cannot be found in time.
Disclosure of Invention
The invention aims to provide a logistics information management system and method applied to cargo tracking, which are used for solving the problems in the prior art.
In order to achieve the above purpose, the invention provides a logistics information management method applied to goods tracking, comprising the following steps:
Step 100, acquiring logistics transportation records of cargoes in a logistics path, extracting logistics attributes in various logistics information in the logistics transportation records, and classifying the logistics records according to the logistics attributes;
Step 200, extracting transportation time rules of various logistics attributes in a history record, and acquiring and collecting attribute differences between any two logistics attributes;
Step 300, acquiring the actual time of cargo transportation in an inner logistics path in a unit time range, acquiring the logistics attribute of the cargo transported in the unit time range, and accumulating the difference value between the actual logistics time and the predicted value of the transportation time to obtain a time correction value;
and S400, acquiring a certain goods and the logistics attribute of the goods reaching the starting point of the logistics path, correcting the expected time of the goods passing through the logistics path through the time correction value, and giving an alarm prompt to related personnel when the goods pass through the logistics path within the corrected time range.
Further, step S100 includes:
step S101, acquiring a historical record of cargo transportation, acquiring all traffic tool information, weather information and cargo information in the historical record, setting unique codes of different types of traffic tools, weather and cargo types, taking one historical record of cargo transportation as a historical logistics record, and acquiring any historical logistics record as a target historical logistics record;
Step S102, acquiring a logistics transportation path of goods in a target historical logistics record, acquiring a transfer station in the logistics transportation path, respectively marking an ith transfer station and an (i+1) th transfer station in the logistics transportation path as p i and p i+1, and taking a path between the transfer station p i and the transfer station p i+1 as a target section;
Step S103, in the target historical logistics record, the time T i when the goods arrive at the transfer station p i and the time T i+1 when the goods arrive at the transfer station p i+1 are obtained, and the transportation time T of logistics transportation in the target section is calculated, wherein T=t i+1-ti;
step S104, obtaining the logistics attributes in the target historical logistics records, wherein the logistics attributes comprise vehicles, weather and cargo types, and collecting all codes corresponding to the logistics attributes into a logistics attribute collection of the target logistics records.
Further, step S200 includes:
Step S201, collecting a plurality of historical logistics records, obtaining a logistics transportation path of each historical logistics record, and collecting the historical logistics records including target segments in the logistics transportation path to a first logistics record collection;
Step S202, acquiring a logistics attribute set of each historical logistics record in a first logistics record set, classifying the historical logistics records with the same logistics attribute into one type, and respectively collecting each type of historical logistics record into a historical logistics data set of a corresponding type;
step S203, acquiring a historical logistics data set of the kth logistics attribute, acquiring transportation time of all historical logistics records in the historical logistics data set, calculating an average value of the transportation time, and recording the average value as a time reference value RT k of the kth logistics attribute;
Step S204, collecting the logistics attributes of a plurality of historical logistics records, obtaining a logistics attribute set Q k of a kth logistics attribute and a logistics attribute set Q f of an f logistics attribute, calculating the distances coded in the logistics attribute set Q k and the f logistics attribute set Q f, and recording the distances as the distances between the kth logistics attribute and the f logistics attribute;
Labeling the physical distribution state through codes, carrying out digital processing on physical distribution attribute information, and finding out differences among physical distribution attributes through a method of calculating sequence digital distances.
Further, step S300 includes:
Step 301, taking the current transportation of a certain logistics as a target logistics, obtaining a logistics transportation path of the target logistics, wherein the logistics transportation path of the target logistics comprises a target section, obtaining a time TU i when the target logistics reaches an ith transfer station p i, obtaining all logistics transportation records reaching the transfer station p i+1 through the transfer station p i within a time range with a time length of T 0 before TU i, and collecting the logistics transportation records to a second logistics record set;
step S302, obtaining the logistics attribute of the target logistics, recording the logistics attribute as the target logistics attribute, obtaining the logistics attribute of all logistics transportation records in the second logistics record set,
Step S303, acquiring a j-th logistics transportation record in the second logistics collection, marking the distance between the logistics attribute of the j-th logistics and the target logistics attribute as d j, and calculating a coefficient reference value alpha j,αj=1/dj of the j-th logistics transportation record;
step S304, collecting reference coefficients of all logistics transportation records in the second logistics set, and summing all the reference coefficients to obtain a reference value M;
Step S305, calculating a weight coefficient beta j,βj=αj/M of the j-th logistics transportation record;
Step S306 of calculating a predicted time correction value cv for the target stream, Wherein N represents the total number of logistics transportation records in the second logistics collection, H j represents the difference value between the actual transportation time of the jth logistics transportation in the target section and the time reference value in the time range of T 0;
in the actual running process in the logistics path, due to the influence of the actual conditions, such as traffic jam, throughput of a transfer station or weather influence, the actual update time and the prediction time of logistics information may be different, and the influence not only acts on one logistics transportation, but also causes similar influence on the related logistics transportation in the path;
and correcting the management threshold value of the subsequent prediction time through the difference value between the actual logistics transportation time and the prediction value in the unit time range.
Further, step S400 includes:
Step S401, obtaining a time reference value RT 0 of the object stream attribute, and calculating a time threshold value tau of the object stream, wherein tau=RT 0 +cv;
Step S402, starting timing from TU i, recording the ending time of the tau time period of TU i as target time TU tar, and when the target time TU tar is reached, if the target logistics does not pass through the p i+1 transfer station, carrying out alarm prompt to a logistics manager;
By carrying out fine management on the logistics paths, carrying out logistics prediction and logistics time management on the logistics paths section by section, the logistics state is tracked, and the problem that the logistics management threshold calculated in a large scale range is difficult to apply and real-time tracking on logistics information is avoided.
In order to better implement the method, a logistics information management system for cargo tracking is also provided, the system comprises:
the system comprises a logistics record management module, a time difference calculation module, a time correction module and an information prompt module, wherein the logistics record management module is used for managing logistics transportation records, managing logistics attributes in the logistics transportation records, the time difference calculation module is used for managing differences of cargo transportation time of different types of logistics attributes in a logistics path, the time correction module is used for collecting logistics attributes of cargoes transported in a unit time range, accumulating the differences of the transportation time among the different logistics attributes to obtain time correction values, and the information prompt module is used for tracking logistics information of a target logistics and giving an alarm to related personnel when an alarm condition is met.
The logistics record management module comprises a logistics attribute management unit, a coding management unit, a path management unit, a transportation time management unit and a logistics attribute management unit, wherein the logistics attribute management unit is used for acquiring logistics information in physical transportation records, the coding management unit is used for managing unique codes of different types of vehicles, weather and goods, the path management unit is used for managing logistics transportation paths in logistics transportation records, the transportation time management unit is used for managing transportation time in the logistics transportation paths, and the logistics attribute management unit is used for managing logistics attribute sets of historical logistics records;
The time difference calculation module comprises a logistics record classification unit and a time reference value calculation unit, wherein the logistics record classification unit is used for classifying historical logistics records according to logistics attributes, and the time reference value calculation unit is used for calculating time reference values of various logistics attributes;
The time correction module further comprises a target logistics management unit, a logistics record screening unit, a logistics attribute comparison unit, a weight coefficient calculation unit and a correction value calculation unit, wherein the target logistics management unit is used for managing logistics information of target logistics, the logistics record screening unit is used for screening logistics records within a time range of the unit, a second logistics record set is managed, the logistics attribute comparison unit is used for comparing logistics attributes of the target logistics with logistics attributes of the second logistics record set, the weight coefficient calculation unit is used for calculating weight coefficients of each logistics record in the second logistics record set, and the correction value calculation unit is used for calculating a predicted time correction value of the target logistics;
Further, the information prompt module comprises a time threshold calculation unit, an alarm time management unit and an alarm unit, wherein the time threshold calculation unit is used for calculating the time threshold of the target logistics, the alarm time management unit is used for managing the alarm time of the target logistics, and the alarm unit is used for carrying out alarm prompt when the target logistics does not reach the transfer station in the alarm time.
Compared with the prior art, the method has the beneficial effects that characteristics of historical logistics records in a logistics path are collected, and the correlation degree between different logistics characteristics and the influence of the correlation degree and the transportation time are calculated. On one hand, the invention performs fine management on the logistics transportation process, and avoids the situation that the related algorithm is difficult to be applied because the logistics path to be predicted is shorter. It is thus possible to accurately predict and track whether the physical distribution state deviates from the expectation in a small scale. On the other hand, the invention adjusts the logistics prediction time in real time, and accurately manages the logistics transportation time by combining the history rule and the actual transportation state in the logistics path.
Drawings
FIG. 1 is a schematic diagram of a logistics information management system for cargo tracking according to the present invention;
Fig. 2 is a flow chart of a logistic information management method applied to goods tracking according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the invention provides a technical scheme, as shown in fig. 1 and 2, of a logistics information management method applied to goods tracking, comprising the following steps:
Step 100, acquiring logistics transportation records of cargoes in a logistics path, extracting logistics attributes in various logistics information in the logistics transportation records, and classifying the logistics records according to the logistics attributes;
wherein, step S100 includes:
step S101, acquiring a historical record of cargo transportation, acquiring all traffic tool information, weather information and cargo information in the historical record, setting unique codes of different types of traffic tools, weather and cargo types, taking one historical record of cargo transportation as a historical logistics record, and acquiring any historical logistics record as a target historical logistics record;
Step S102, acquiring a logistics transportation path of goods in a target historical logistics record, acquiring a transfer station in the logistics transportation path, respectively marking an ith transfer station and an (i+1) th transfer station in the logistics transportation path as p i and p i+1, and taking a path between the transfer station p i and the transfer station p i+1 as a target section;
Step S103, in the target historical logistics record, the time T i when the goods arrive at the transfer station p i and the time T i+1 when the goods arrive at the transfer station p i+1 are obtained, and the transportation time T of logistics transportation in the target section is calculated, wherein T=t i+1-ti;
Step S104, obtaining logistics attributes in a target historical logistics record, wherein the logistics attributes comprise vehicles, weather and cargo types, and all codes corresponding to the logistics attributes are collected into a logistics attribute set of the target logistics record;
In an embodiment the codes for a given vehicle, weather and cargo category are classified into A, B and C, the codes being indicated in corresponding lower case letters, e.g. a certain set of logistic properties is indicated as (a 0,b0,c0), where a 0 indicates the corresponding code for the vehicle category, b 0 indicates the corresponding code for the weather category, C 0 indicates the corresponding code for the cargo category.
Step 200, extracting transportation time rules of various logistics attributes in a history record, and acquiring and collecting attribute differences between any two logistics attributes;
Wherein, step S200 includes:
Step S201, collecting a plurality of historical logistics records, obtaining a logistics transportation path of each historical logistics record, and collecting the historical logistics records including target segments in the logistics transportation path to a first logistics record collection;
Step S202, acquiring a logistics attribute set of each historical logistics record in a first logistics record set, classifying the historical logistics records with the same logistics attribute into one type, and respectively collecting each type of historical logistics record into a historical logistics data set of a corresponding type;
step S203, acquiring a historical logistics data set of the kth logistics attribute, acquiring transportation time of all historical logistics records in the historical logistics data set, calculating an average value of the transportation time, and recording the average value as a time reference value RT k of the kth logistics attribute;
Step S204, collecting the logistics attributes of a plurality of historical logistics records, obtaining a logistics attribute set Q k of a kth logistics attribute and a logistics attribute set Q f of an f logistics attribute, calculating the distances coded in the logistics attribute set Q k and the f logistics attribute set Q f, and recording the distances as the distances between the kth logistics attribute and the f logistics attribute;
A collection of logistic attributes Q k（ak,bk,ck, such as a k-th class logistic attribute), a collection of logistic attributes Q f（af,bf,cf, such as a f-th class logistic attribute;
Calculate the distance d kf between Q k and Q f, ;
In an embodiment, manhattan distance and cosine similarity can be used to calculate the secondary distance between the sets of logistic attributes.
Step 300, acquiring the actual time of cargo transportation in an inner logistics path in a unit time range, acquiring the logistics attribute of the cargo transported in the unit time range, and accumulating the difference value between the actual logistics time and the predicted value of the transportation time to obtain a time correction value;
Wherein, step S300 includes:
Step 301, taking the current transportation of a certain logistics as a target logistics, obtaining a logistics transportation path of the target logistics, wherein the logistics transportation path of the target logistics comprises a target section, obtaining a time TU i when the target logistics reaches an ith transfer station p i, obtaining all logistics transportation records reaching the transfer station p i+1 through the transfer station p i within a time range with a time length of T 0 before TU i, and collecting the logistics transportation records to a second logistics record set;
step S302, obtaining the logistics attribute of the target logistics, recording the logistics attribute as the target logistics attribute, obtaining the logistics attribute of all logistics transportation records in the second logistics record set,
Step S303, acquiring a j-th logistics transportation record in the second logistics collection, marking the distance between the logistics attribute of the j-th logistics and the target logistics attribute as d j, and calculating a coefficient reference value alpha j,αj=1/dj of the j-th logistics transportation record;
For example, the second stream record set includes 4 stream transport records, a stream attribute set of each stream transport record is extracted respectively, calculation is performed with the stream attribute set of the target stream attribute to obtain distances d 1=3,d2=5,d3 =1 and d 4 =1, a coefficient reference value α 1=1/3,α2=1/5,α3=1,α4 =1 is calculated, in addition, in the implementation process, in order to ensure that the calculation can normally run, a distance protection threshold d min is set, and when any distance is smaller than d min, 0<d min <1, the coefficient reference value takes a preset set value;
step S304, collecting reference coefficients of all logistics transportation records in the second logistics set, and summing all the reference coefficients to obtain a reference value M;
Step S305, calculating a weight coefficient beta j,βj=αj/M of the j-th logistics transportation record;
in embodiments where j=4, m is about 2.533, β 1=0.131,β2=0.080,β3=0.395,β4 =0.395;
Step S306 of calculating a predicted time correction value cv for the target stream, Wherein N represents the total number of logistics transportation records in the second logistics collection, H j represents the difference value between the actual transportation time of the jth logistics transportation in the target section and the time reference value in the time range of T 0;
The method comprises the steps of respectively obtaining logistics attributes of a1 st logistics transportation record, a 2 nd logistics transportation record, a 3 rd logistics transportation record and a 4 th logistics record, respectively obtaining time reference values corresponding to the logistics attributes according to the logistics attributes of the logistics records, and respectively marking as rt 1、rt2、rt3 and rt 4;
Further obtaining the actual time from the 4 logistics records to the p i+1 transfer station through the p i transfer stations in unit time, wherein the actual time is respectively recorded as t act1、tact2、tact3 and t act4;
Calculation of H1= tact1- rt1,H2= tact2- rt2,H3= tact3- rt3,H4= tact4- rt4;
For example, H 1 =3 units time, H 2 =2 units time, H 3 = -2 units time, H 4 =1 units time, and cv=0.393+0.16-0.79+0.395=0.158 units time is calculated.
Step 400, acquiring a certain goods and the logistics attribute of the goods reaching the starting point of the logistics path, correcting the expected time of the goods passing through the logistics path through the time correction value, and giving an alarm prompt to related personnel when the goods pass through the logistics path within the corrected time range;
Wherein, step S400 includes:
Step S401, obtaining a time reference value RT 0 of the object stream attribute, and calculating a time threshold value tau of the object stream, wherein tau=RT 0 +cv;
Step S402, starting timing from TU i, recording the ending time of the tau time period of TU i as target time TU tar, and when the target time TU tar is reached, if the target logistics does not pass through the p i+1 transfer station, carrying out alarm prompt to a logistics manager;
At the target time TU tar, a search message is sent to the p i+1 transfer station to check whether the target stream has passed through the p i+1 transfer station, or a stream status update message sent by the p i+1 transfer station is searched, and the p i+1 transfer station reports whether the target stream has passed through the p i+1 transfer station.
The system comprises a logistics record management module, a time difference calculation module, a time correction module and an information prompt module;
The logistics record management module is used for managing logistics transportation records and managing logistics attributes in the logistics transportation records, wherein the logistics record management module comprises a logistics attribute management unit, a coding management unit, a path management unit, a transportation time management unit and a logistics attribute management unit, wherein the logistics attribute management unit is used for acquiring logistics information in physical transportation records, the coding management unit is used for managing unique codes of different types of transportation means, weather and goods, the path management unit is used for managing logistics transportation paths in the logistics transportation records, the transportation time management unit is used for managing transportation time in the logistics transportation paths, and the logistics attribute management unit is used for managing logistics attribute sets of historical logistics records;
the time difference calculation module is used for managing the difference value of the cargo transportation time of different types of logistics attributes in a logistics path, and comprises a logistics record classification unit and a time reference value calculation unit, wherein the logistics record classification unit is used for classifying historical logistics records according to the logistics attributes, and the time reference value calculation unit is used for calculating the time reference value of various logistics attributes;
The time correction module is used for collecting logistics attributes of cargoes transported within a unit time range, accumulating differences of transportation time among different logistics attributes to obtain a time correction value, and comprises a target logistics management unit, a logistics record screening unit, a logistics attribute comparison unit, a weight coefficient calculation unit and a correction value calculation unit, wherein the target logistics management unit is used for managing logistics information of target logistics, the logistics record screening unit is used for managing logistics records within the time range of the screening unit, the logistics attribute comparison unit is used for comparing logistics attributes of the target logistics with logistics attributes of logistics records in the second logistics record set, the weight coefficient calculation unit is used for calculating weight coefficients of each logistics record in the second logistics record set, and the correction value calculation unit is used for calculating a predicted time correction value of the target logistics;
The information prompt module is used for tracking logistics information of the target logistics and giving an alarm to related personnel when an alarm condition is met, wherein the information prompt module comprises a time threshold calculation unit, an alarm time management unit and an alarm unit, the time threshold calculation unit is used for calculating a time threshold of the target logistics, the alarm time management unit is used for managing alarm time of the target logistics, and the alarm unit is used for giving an alarm prompt when the target logistics does not reach the transfer station in the alarm time.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (8)
1. The logistics information management method applied to goods tracking is characterized by comprising the following steps:
Step 100, acquiring logistics transportation records of cargoes in a logistics path, extracting logistics attributes in various logistics information in the logistics transportation records, and classifying the logistics records according to the logistics attributes;
Step 200, extracting transportation time rules of various logistics attributes in a history record, and acquiring and collecting attribute differences between any two logistics attributes;
Step 300, acquiring the actual time of cargo transportation in a logistics path in a unit time range, acquiring the logistics attribute of the cargo transported in the unit time range, and accumulating the difference value between the actual logistics time and a time reference value to obtain a time correction value;
Step S300 includes:
Step 301, taking the current logistics transportation as a target logistics, obtaining a logistics transportation path of the target logistics, wherein the logistics transportation path of the target logistics comprises a target segment, respectively marking the ith and the (i+1) th transfer stations in the logistics transportation path as p i and p i+1, the target segment represents a path between the transfer stations p i and p i+1, obtaining the time TU i when the target logistics reaches the ith transfer station p i, obtaining all logistics transportation records reaching the transfer station p i+1 through the transfer station p i within the time range of T 0 before TU i, and collecting the logistics transportation records into a second logistics record set;
step S302, obtaining the logistics attribute of the target logistics, recording the logistics attribute as the target logistics attribute, obtaining the logistics attribute of all logistics transportation records in the second logistics record collection,
Step S303, acquiring a j-th logistics transportation record in a second logistics collection, marking the distance between the logistics attribute of the j-th logistics and the target logistics attribute as d j, and calculating a coefficient reference value alpha j,αj=1/dj of the j-th logistics transportation record;
Step S304, collecting coefficient reference values of all logistics transportation records in a second logistics set, and summing all the coefficient reference values to obtain a reference value M;
Step S305, calculating a weight coefficient beta j,βj=αj/M of the j-th logistics transportation record;
step S306 of calculating a time correction value cv for the target stream, Wherein N represents the total number of logistics transportation records in the second logistics collection, and H j represents the difference value between the actual transportation time of the jth logistics transportation in the target section and the time reference value in the time range;
Step 400, acquiring a certain goods and the logistics attribute of the goods reaching the starting point of the logistics path, correcting the expected time of the goods passing through the logistics path through the time correction value, and giving an alarm prompt to related personnel when the goods do not pass through the logistics path within the corrected time range;
Step S400 includes:
Step S401, obtaining a time reference value RT 0 of the object stream attribute, and calculating a time threshold value tau of the object stream, wherein tau=RT 0 +cv;
Step S402, starting timing from TU i, recording the ending time of the tau time period of TU i as target time TU tar, and when the target time TU tar is reached, if the target logistics does not pass through the p i+1 transfer station, giving an alarm prompt to a logistics manager.
2. The method for logistics information management for cargo tracking according to claim 1, wherein the step S100 comprises:
step S101, acquiring a historical record of cargo transportation, acquiring all traffic tool information, weather information and cargo information in the historical record, setting unique codes of different types of traffic tools, weather and cargo types, taking one historical record of cargo transportation as a historical logistics record, and acquiring any historical logistics record as a target historical logistics record;
Step S102, acquiring a logistics transportation path of goods in the target history logistics record, acquiring transfer stations in the logistics transportation path, acquiring the ith and the (i+1) th transfer stations in the logistics transportation path, respectively marking the ith and the (i+1) th transfer stations as p i and p i+1, and taking a path between the transfer stations p i and p i+1 as a target section;
Step S103, in the target historical logistics record, the time T i when the goods arrive at the transfer station p i and the time T i+1 when the goods arrive at the transfer station p i+1 are obtained, and the transportation time T of logistics transportation in the target section is calculated, wherein T=t i+1-ti;
Step S104, obtaining the logistics attributes in the target history logistics records, wherein the logistics attributes comprise vehicles, weather and cargo types, and collecting all codes corresponding to the logistics attributes to a logistics attribute collection of the target logistics records.
3. The method for logistics information management for cargo tracking according to claim 2, wherein step S200 comprises:
Step S201, collecting a plurality of historical logistics records, obtaining a logistics transportation path of each historical logistics record, and collecting the historical logistics records comprising the target segment in the logistics transportation path to a first logistics record collection;
Step S202, acquiring a logistics attribute set of each historical logistics record in a first logistics record set, classifying the historical logistics records with the same logistics attribute into one type, and respectively collecting each type of historical logistics record into a historical logistics data set of a corresponding type;
step 203, acquiring a historical logistics data set of a kth logistics attribute, acquiring transportation time of all historical logistics records in the historical logistics data set, and calculating an average value of the transportation time, wherein the average value is recorded as a time reference value RT k of the kth logistics attribute;
step S204, collecting the logistics attributes of the historical logistics records, obtaining a logistics attribute set Q k of the kth logistics attribute and a logistics attribute set Q f of the f logistics attribute, calculating the distances coded in the logistics attribute set Q k and the f logistics attribute set Q f, and recording the distances as the distances between the kth logistics attribute and the f logistics attribute.
4. A logistic information management system for goods tracking, for executing a logistic information management method for goods tracking according to any one of claims 1 to 3, characterized in that the system comprises:
The system comprises a logistics record management module, a time difference calculation module, a time correction module and an information prompt module, wherein the logistics record management module is used for managing logistics transportation records and logistics attributes in the logistics transportation records, the time difference calculation module is used for managing differences of cargo transportation time of different types of logistics attributes in a logistics path, the time correction module is used for collecting the logistics attributes of the cargoes transported in the unit time range, accumulating the differences of the transportation time among the different logistics attributes to obtain time correction values, and the information prompt module is used for tracking logistics information of a target logistics and giving an alarm to related personnel when an alarm condition is met.
5. The logistics information management system for cargo tracking according to claim 4, wherein the logistics record management module comprises a first logistics attribute management unit, a code management unit, a path management unit, a transportation time management unit and a second logistics attribute management unit, wherein the first logistics attribute management unit is used for acquiring logistics information in logistics transportation records, the code management unit is used for managing unique codes of different types of vehicles, weather and cargo types, the path management unit is used for managing logistics transportation paths in the logistics transportation records, the transportation time management unit is used for managing transportation time in the logistics transportation paths, and the second logistics attribute management unit is used for managing logistics attribute sets of historical logistics records.
6. The logistics information management system for cargo tracking according to claim 4, wherein the time difference calculation module comprises a logistics record classification unit and a time reference value calculation unit, wherein the logistics record classification unit is used for classifying historical logistics records according to logistics attributes, and the time reference value calculation unit is used for calculating time reference values of various logistics attributes.
7. The logistics information management system for cargo tracking according to claim 4, wherein the time correction module comprises a target logistics management unit, a logistics record screening unit, a logistics attribute comparison unit, a weight coefficient calculation unit and a correction value calculation unit, wherein the target logistics management unit is used for managing logistics information of a target logistics, the logistics record screening unit is used for screening logistics records within a unit time range, a second logistics record set is managed, the logistics attribute comparison unit is used for comparing logistics attributes of the target logistics with logistics attributes of logistics records in the second logistics record set, the weight coefficient calculation unit is used for calculating weight coefficients of each logistics record in the second logistics record set, and the correction value calculation unit is used for calculating time correction value of the target logistics.
8. The logistics information management system for cargo tracking according to claim 4, wherein the information prompt module comprises a time threshold calculation unit, an alarm time management unit and an alarm unit, wherein the time threshold calculation unit is used for calculating a time threshold of the target logistics, the alarm time management unit is used for managing alarm time of the target logistics, and the alarm unit is used for prompting an alarm when the target logistics does not reach the transfer station within the alarm time.
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| CN117273581A (en) * | 2023-09-19 | 2023-12-22 | 淮南路歌物流运输有限公司 | Logistics data updating method, system and device based on transportation route |
| CN118279028A (en) * | 2024-05-31 | 2024-07-02 | 浙江卡赢信息科技有限公司 | Intelligent pushing management system for e-commerce order progress |
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| CN115481955B (en) * | 2022-09-19 | 2023-07-25 | 深圳市海络网络科技有限公司 | International logistics intelligent management system and method based on big data |
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| CN114372622A (en) * | 2021-12-29 | 2022-04-19 | 天链(宁夏)数据科技有限公司 | Concrete tank truck delivery-oriented aging prediction system |
| CN117273581A (en) * | 2023-09-19 | 2023-12-22 | 淮南路歌物流运输有限公司 | Logistics data updating method, system and device based on transportation route |
| CN118279028A (en) * | 2024-05-31 | 2024-07-02 | 浙江卡赢信息科技有限公司 | Intelligent pushing management system for e-commerce order progress |
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