An intelligent generation method and system for logistics reports based on business data

Abstract

The present invention discloses an intelligent generation method and system for logistics reports based on business data, which relates to the technical field of data processing. It includes obtaining logistics system data, based on topological structure analysis of the logistics system data, obtaining a logistics data topological structure network, and filling the logistics report according to the logistics report data item information and logistics report data to generate a logistics report. By analyzing the data attributes of different logistics data, the present invention improves the data processing efficiency, arranges the basic data in the logistics report through the data attribute evaluation index, realizes the highlighting of important data in the logistics report, screens the logistics data expansion item information to avoid a large number of logistics data expansion items, marks the abnormal expansion items in the logistics report through the report expansion item cycle difference coefficient, improves the reading efficiency, reduces the time cost, and improves the overall operation efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly to an intelligent generation method and system for logistics reports based on business data. Background Art

[0002] Reports are an important part of information management systems. As enterprise-level applications, reports mainly exist in the form of browser and server architectures (i.e., B / S architectures). Deploying an application can be accessed by multiple people. When people with different roles access reports, permission control is accompanied so that the report results seen by different people are different. For the logistics industry, logistics reports integrate data such as transportation, warehousing, loading and unloading, handling, packaging, distribution processing, distribution, and information platforms, and generally also have obvious regional attributes. Therefore, there are many types of reports, frequent changes, and high timeliness. It is necessary to generate reports in a timely and accurate manner. During the development of data application systems, report engines have emerged. They can, on the basis of original data, define the format of reports and the algorithms of reports, automatically execute calculations according to the defined algorithms, and output the calculated results, and then display the content of the reports according to the defined report formats.

[0003] Currently, there are still problems in the generation of logistics reports, such as being unable to accurately analyze logistics system data, unable to arrange different logistics system data according to report requirements, unable to select appropriate data expansion items according to the demand types of logistics reports, unable to avoid the reading difficulties caused by the complexity of logistics report data, and unable to accurately identify abnormal items in logistics reports based on logistics system data. Summary of the Invention

[0004] To solve the above technical problems, an intelligent generation method and system for logistics reports based on business data are provided. This technical solution solves the problems raised in the above background art, such as being unable to accurately analyze logistics system data, unable to arrange different logistics system data according to report requirements, unable to select appropriate data expansion items according to the demand types of logistics reports, unable to avoid the reading difficulties caused by the complexity of logistics report data, and unable to accurately identify abnormal items in logistics reports based on logistics system data.

[0005] To achieve the above purposes, the technical solution adopted by the present invention is as follows:

[0006] An intelligent generation method for logistics reports based on business data, comprising:

[0007] Obtain logistics system data, where the logistics system includes a warehousing management system, a transportation management system, and an order management system;

[0008] Based on the logistics system data and through topology analysis, obtain a logistics data topology structure network;

[0009] Obtain user interaction information, where the user interaction information includes user identity information and report requirement information, and the report requirements are divided into daily report requirements, weekly report requirements, and monthly report requirements;

[0010] Generate the arrangement of the basic information of the logistics report according to the user interaction information, and obtain the basic item information of the logistics report. Each type of logistics system data in the basic item information of the logistics report is arranged according to the sorting information of the data attributes;

[0011] Obtain the extended item information of the logistics report based on the logistics system data and the analysis requirements of the logistics report;

[0012] Obtain the data item information of the logistics report according to the extended item information of the logistics report and the basic item information of the logistics report;

[0013] Filter the logistics system data based on the report requirement information to obtain the logistics report data;

[0014] Fill the logistics report according to the data item information of the logistics report and the logistics report data to generate the logistics report.

[0015] Preferably, the obtaining of the logistics data topology network based on the topological structure analysis according to the logistics system data specifically includes:

[0016] Obtain the attribute information of the logistics system data based on the named entity recognition according to the logistics system data. The attributes of the logistics system data include logistics transportation time, logistics transportation method, logistics order time, and logistics warehousing information;

[0017] Analyze the logical relationship between different logistics system data attributes to obtain the logistics data topology information;

[0018] Obtain the logistics data topology network based on the topological network construction according to the logistics data topology information. The logistics data topology network includes several logistics data attribute nodes;

[0019] Among them, for any logistics data attribute node in the logistics data topology network, the logistics data attribute node that logically points to this node is the upper node of this node, and the logistics data attribute node that this node logically points to is the lower node.

[0020] Preferably, the generating of the arrangement of the basic information of the logistics report and obtaining the basic item information of the logistics report according to the user interaction information specifically includes:

[0021] Classify the logistics system data based on the system function analysis to obtain the data of the warehousing management system, the data of the transportation management system, and the data of the order management system;

[0022] Set weights for logistics system data of different classifications according to user interaction information;

[0023] Based on the weights of logistics system data and the logistics data topology network, obtain the data attribute evaluation index;

[0024] Sort the logistics data attributes in descending order according to the data attribute evaluation index to obtain the data attribute sorting information;

[0025] Generate the arrangement of the basic information of the logistics report based on the data attribute sorting information to obtain the basic item information of the logistics report;

[0026] Among them, the calculation formula of the data attribute evaluation index is:

[0027]

[0028] In the formula, Q(x, τ) represents the data attribute evaluation index of the logistics data attribute represented by the xth logistics data attribute node, τ is the user identity recognition coefficient. If τ = 1, the weight ratio of the warehousing management system data, transportation management system data, and order management system data is 1:2:1. If τ = 2, the weight ratio of the warehousing management system data, transportation management system data, and order management system data is 2:1:1. If τ = 3, the weight ratio of the warehousing management system data, transportation management system data, and order management system data is 1:1:2, α x is the logistics data weight of the xth logistics data attribute node, α i is the logistics data weight of the ith upper node of the xth logistics data attribute node, w i is the number of intermediate nodes between the ith upper node of the xth logistics data attribute node and the xth logistics data attribute node, k i is the total number of adjacent logistics data attribute nodes logically pointed to by the ith upper node of the xth logistics data attribute node, α j is the logistics data weight of the jth lower node of the xth logistics data attribute node, w j is the number of intermediate nodes between the jth lower node of the xth logistics data attribute node and the xth logistics data attribute node, k j is the total number of logistics data attribute nodes that logically point to the jth lower node of the xth logistics data attribute node among the adjacent nodes of the jth lower node of the xth logistics data attribute node. n is the total number of upper nodes of the xth logistics data attribute node, and m is the total number of lower nodes of the xth logistics data attribute node.

[0029] Preferably, the obtaining of the logistics report expansion item information based on the logistics report analysis requirements according to the logistics system data specifically includes:

[0030] Based on the logistics system data and the requirements for logistics report analysis, obtain the information on extended items of logistics data. The information on extended items of logistics data includes inventory turnover rate, order fulfillment rate, return rate, on-time delivery rate, transportation rate, and profit rate.

[0031] Based on the information on extended items of logistics data, obtain the data extension-related information corresponding to each extended item of logistics data. The data extension-related information represents the logistics data attributes required for calculating the extended items of logistics data.

[0032] According to the information on extended items of logistics data, data extension-related information, and data attribute evaluation index, obtain the data extension-related index.

[0033] According to the data extension-related index, screen the information on extended items of logistics data to obtain the information on extended items of logistics reports.

[0034] Among them, if the data extension-related index E(y, τ) ≤ 0.08, then this extended item of logistics data does not meet the requirements of the logistics report. If the data extension-related index E(y, τ) > 0.08, then this extended item of logistics data is available. The calculation formula for the data extension-related index is:

[0035]

[0036] In the formula, E(y, τ) is the data extension-related index of the y-th extended item of logistics data, Q(b) is the data attribute evaluation index of the b-th logistics data required for calculating the y-th extended item of logistics data, τ is the user identity recognition coefficient. If τ = 1, then Q(c) is the data attribute evaluation index of the c-th logistics data in the transportation management system data, and s is the total number of types of logistics data attributes in the transportation management system data. If τ = 2, then Q(c) is the data attribute evaluation index of the c-th logistics data in the warehousing management system data, and s is the total number of types of logistics data attributes in the warehousing management system data. If τ = 3, then Q(c) is the data attribute evaluation index of the c-th logistics data in the order management system data, and s is the total number of types of logistics data attributes in the order management system data. H is the total number of types of logistics data attributes required for calculating the y-th extended item of logistics data, and δ is the occurrence times of the b-th logistics data in the calculation process of the y-th extended item of logistics data.

[0037] Preferably, screening the logistics system data based on the report requirement information to obtain the logistics report data specifically includes:

[0038] According to the report requirement information, obtain the information on the report generation cycle.

[0039] According to the logistics system data, based on data feature recognition, obtain the data time tag information.

[0040] Obtain the time information of the user's report requirement instruction according to the user interaction information;

[0041] Taking the time information of the user's report requirement instruction as the starting point, based on the report generation cycle information, and according to the data time tag information, classify the logistics system data to obtain a logistics system data group;

[0042] Among them, the logistics system data group represents the logistics system data within a report generation cycle;

[0043] Based on the data time tag information, number the logistics system data group, and take the logistics system data group within a report generation cycle from the user's report requirement instruction time as the first logistics system data group;

[0044] Take the first logistics system data group as the logistics report data.

[0045] Preferably, filling the logistics report according to the logistics report data item information and the logistics report data to generate a logistics report specifically includes:

[0046] Obtain the logistics report expansion item information and the logistics report basic item information according to the logistics report data item information;

[0047] Based on the logistics report data, fill the logistics report basic items;

[0048] Based on the logistics report data and the logistics report expansion item information, obtain the logistics report expansion item calculation data;

[0049] Based on the logistics report expansion item calculation data, fill the logistics report expansion items;

[0050] Obtain the logistics system data group;

[0051] According to the logistics system data group and the logistics report expansion item calculation data, obtain the report expansion item cycle difference coefficient;

[0052] According to the report expansion item cycle difference coefficient, judge whether the logistics report expansion item calculation data is abnormal. If not, mark the logistics report expansion item calculation data as normal. If so, mark the logistics report expansion item calculation data as abnormal, record the report expansion item cycle difference coefficient, and obtain the logistics report evaluation item information;

[0053] According to the logistics report evaluation item information, fill the logistics report to generate a logistics report;

[0054] Among them, if the report expansion item period difference coefficient R(y) ≤ 0.82, the calculation data of the logistics report expansion item is abnormal; if R(y) > 0.82, the calculation data of the logistics report expansion item is normal. The calculation formula of the report expansion item period difference coefficient is as follows:

[0055]

[0056] In the formula, R(y) is the report expansion item period difference coefficient of the y-th logistics data expansion item, f(y, D1) represents the calculation data of the y-th logistics data expansion item with the first logistics system data group as the input, and f(y, D g ) represents the calculation data of the y-th logistics data expansion item with the g-th logistics system data group as the input, and T is the total number of logistics system data groups.

[0057] Furthermore, an intelligent logistics report generation system based on business data is proposed to implement the generation method as described above, including:

[0058] A main control module, which is used to screen the logistics data expansion item information according to the data expansion related index, obtain the logistics report expansion item information, judge whether the calculation data of the logistics report expansion item is abnormal according to the report expansion item period difference coefficient, analyze the logical relationship between different logistics system data attributes, obtain the logistics data topology structure information, obtain the logistics data topology structure network based on the topology network construction according to the logistics data topology structure information, set weights for different classified logistics system data according to the user interaction information, obtain the logistics data expansion item information according to the logistics system data based on the logistics report analysis requirements, and fill the logistics report according to the logistics report data item information and the logistics report data to generate a logistics report;

[0059] An information acquisition module, which is used to acquire logistics system data, warehousing management system data, transportation management system data, and order management system data, obtain the logistics system data attribute information based on named entity recognition according to the logistics system data, obtain user interaction information, user identity information, and report requirement information, and obtain the report generation cycle information according to the report requirement information;

[0060] An evaluation module, which is used to obtain a data attribute evaluation index based on the weights of logistics system data and the logistics data topology structure network, sort the logistics data attributes in descending order according to the data attribute evaluation index to obtain data attribute sorting information, obtain data expansion-related information corresponding to each logistics data expansion item based on the logistics data expansion item information, obtain a data expansion-related index according to the logistics data expansion item information, data expansion-related information and the data attribute evaluation index, calculate data according to the logistics system data group and the logistics report expansion item, and obtain a report expansion item cycle difference coefficient;

[0061] A display module, which interacts with the main control module and is used to display logistics data basic item information, logistics data expansion item information, report generation cycle information, and logistics reports.

[0062] Optionally, the main control module specifically includes:

[0063] A control unit, which is used to analyze the logical relationships between different logistics system data attributes to obtain logistics data topology structure information, based on the logistics data topology structure information, obtain a logistics data topology structure network based on the topology network construction, set weights for different classifications of logistics system data according to the user interaction information, obtain logistics data expansion item information based on the logistics system data and the logistics report analysis requirements, and fill the logistics report according to the logistics report data item information and the logistics report data to generate a logistics report;

[0064] An information receiving unit, which interacts with the information acquisition module and the evaluation module and is used to receive data and transmit it to the judgment unit;

[0065] A judgment unit, which is used to screen the logistics data expansion item information according to the data expansion-related index to obtain logistics report expansion item information, and judge whether there is an abnormality in the calculation data of the logistics report expansion item according to the report expansion item cycle difference coefficient.

[0066] Optionally, the information acquisition module specifically includes:

[0067] A first acquisition unit, which is used to acquire logistics system data, warehouse management system data, transportation management system data, and order management system data, and obtain logistics system data attribute information based on the logistics system data and named entity recognition;

[0068] A second acquisition unit, which is used to acquire user interaction information, user identity information, and report requirement information, and obtain report generation cycle information according to the report requirement information.

[0069] Optionally, the evaluation module specifically includes:

[0070] A data attribute evaluation unit, which is used to obtain a data attribute evaluation index based on the weights of logistics system data and the logistics data topology network, sort the logistics data attributes in descending order of the data attribute evaluation index, and obtain data attribute sorting information;

[0071] A data expansion evaluation unit, which is used to obtain data expansion-related information corresponding to each logistics data expansion item based on the logistics data expansion item information, and obtain a data expansion-related index according to the logistics data expansion item information, the data expansion-related information, and the data attribute evaluation index;

[0072] A cycle difference evaluation unit, which is used to calculate data based on the logistics system data group and the logistics report expansion item, and obtain a report expansion item cycle difference coefficient.

[0073] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0074] The present invention provides an intelligent generation method and system for logistics reports based on business data. By analyzing the data attributes of different logistics data through the logistics data topology network, the data processing efficiency is improved. By arranging the basic data in the logistics report according to the data attribute evaluation index, the highlighting of important data in the logistics report is realized. By screening the logistics data expansion item information, the problem of numerous logistics data expansion items is avoided. By means of the report expansion item cycle difference coefficient, the abnormal expansion items in the logistics report are marked, the reading efficiency is improved, the required data analysis results can be quickly obtained, the time cost is reduced, and the overall operation efficiency is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Figure 1 It is a flowchart of an intelligent generation method for logistics reports based on business data proposed by the present invention;

[0076] Figure 2 It is a flowchart for obtaining the basic item information of the logistics report in the present invention;

[0077] Figure 3 It is a flowchart for obtaining the expansion item information of the logistics report in the present invention;

[0078] Figure 4 It is a flowchart for obtaining the data of the logistics report in the present invention;

[0079] Figure 5 It is a flowchart for obtaining the evaluation item information of the logistics report in the present invention;

[0080] Figure 6 It is a block diagram of the structure of an intelligent generation system for logistics reports based on business data proposed by the present invention. Detailed implementation manners

[0081] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments in the following description are only examples, and those skilled in the art can think of other obvious variants.

[0082] Referring to Figure 1 - Figure 5 As shown, a method for intelligently generating a logistics report based on business data in an embodiment of the present invention includes:

[0083] Obtain logistics system data, where the logistics system includes a warehousing management system, a transportation management system, and an order management system;

[0084] Based on the analysis of the topological structure, obtain a logistics data topological structure network according to the logistics system data;

[0085] Specifically, obtaining a logistics data topological structure network based on the analysis of the topological structure according to the logistics system data specifically includes:

[0086] Based on named entity recognition, obtain the logistics system data attribute information according to the logistics system data, where the logistics system data attributes include logistics transportation time, logistics transportation method, logistics order time, and logistics warehousing information;

[0087] Analyze the logical relationship between different logistics system data attributes to obtain logistics data topological structure information;

[0088] Based on the topological network construction, obtain a logistics data topological structure network according to the logistics data topological structure information, where the logistics data topological structure network includes several logistics data attribute nodes;

[0089] Among them, for any logistics data attribute node in the logistics data topological structure network, the logistics data attribute node that logically points to this node is the upper node of this node, and the logistics data attribute node that this node logically points to is the lower node.

[0090] In this solution, by identifying the named entities of the logistics system data, the logistics system data attribute information, that is, the type information of the logistics system data, is obtained. By analyzing the logical relationship between different logistics system data attributes, the logistics data topological structure information is obtained. According to the logistics data topological structure information, a logistics data topological structure network is obtained based on the topological network construction;

[0091] It can be understood that in the topological structure network, if node A logically points to B, then node A is the upper node of node B, and node B is the lower node of node A. If node A does not pass through an intermediate node during the logical pointing to node B, then node A and node B are adjacent nodes.

[0092] Obtain user interaction information, where the user interaction information includes user identity information and report requirement information, and the report requirements are divided into daily report requirements, weekly report requirements, and monthly report requirements;

[0093] Generate the arrangement of basic logistics report information according to the user interaction information, and obtain the basic item information of the logistics report. Each type of logistics system data in the basic item information of the logistics report is arranged according to the sorting information of data attributes;

[0094] Specifically, generate the arrangement of basic logistics report information according to the user interaction information, and obtain the basic item information of the logistics report, which specifically includes:

[0095] Classify the logistics system data based on system function analysis to obtain warehouse management system data, transportation management system data, and order management system data;

[0096] Set weights for different classified logistics system data according to the user interaction information;

[0097] Obtain the data attribute evaluation index based on the weights of the logistics system data and the logistics data topology network;

[0098] Sort the logistics data attributes in descending order of the data attribute evaluation index to obtain the data attribute sorting information;

[0099] Generate the arrangement of basic logistics report information based on the data attribute sorting information to obtain the basic item information of the logistics report;

[0100] Among them, the calculation formula for the data attribute evaluation index is:

[0101]

[0102] In the formula, Q(x, τ) represents the data attribute evaluation index of the logistics data attribute represented by the xth logistics data attribute node. τ is the user identity recognition coefficient. If τ = 1, the weight ratio of the warehouse management system data, transportation management system data, and order management system data is 1:2:1. If τ = 2, the weight ratio of the warehouse management system data, transportation management system data, and order management system data is 2:1:1. If τ = 3, the weight ratio of the warehouse management system data, transportation management system data, and order management system data is 1:1:2, α x is the logistics data weight of the xth logistics data attribute node, α i is the logistics data weight of the ith upper node of the xth logistics data attribute node, w i is the number of intermediate nodes between the ith upper node of the xth logistics data attribute node and the xth logistics data attribute node, ki is the total number of adjacent logistics data attribute nodes pointed to by the logical order of the i-th upper node of the x-th logistics data attribute node, α j is the logistics data weight of the j-th lower node of the x-th logistics data attribute node, w j is the number of intermediate nodes between the j-th lower node of the x-th logistics data attribute node and the x-th logistics data attribute node, k j is the total number of logistics data attribute nodes that point to the j-th lower node of the x-th logistics data attribute node in the logical order among the adjacent nodes of the j-th lower node of the x-th logistics data attribute node. n is the total number of upper nodes of the x-th logistics data attribute node, and m is the total number of lower nodes of the x-th logistics data attribute node.

[0103] In this solution, by classifying the logistics system data, the warehousing management system data, transportation management system data, and order management system data are obtained. According to the user interaction information, weights are set for different classified logistics system data. Based on the weights of the logistics system data and the logistics data topology network, a data attribute evaluation index is obtained. The logistics data attributes are sorted in descending order according to the data attribute evaluation index, and the data attribute sorting information is obtained. Based on the data attribute sorting information, the arrangement of the basic information of the logistics report is generated, and the basic item information of the logistics report is obtained, highlighting the important data of the logistics report and ensuring the accuracy and consistency of the data;

[0104] It can be understood that for the logistics report, all the logistics system data needs to be displayed as basic data. However, for users with different identities, the emphasized logistics report information is very different. Therefore, different weights are set for the logistics system data according to the user identity information. In this embodiment, the user identities are divided into three categories according to the emphasized logistics report information of the users and are distinguished by the user identity recognition coefficient.

[0105] According to the logistics system data and based on the logistics report analysis requirements, the extended item information of the logistics report is obtained;

[0106] Specifically, according to the logistics system data and based on the logistics report analysis requirements, the extended item information of the logistics report is obtained, which specifically includes:

[0107] According to the logistics system data and based on the logistics report analysis requirements, the extended item information of the logistics data is obtained, and the extended item information of the logistics data includes inventory turnover rate, order fulfillment rate, return rate, on-time delivery rate, transportation rate, and profit rate;

[0108] Based on the extended item information of the logistics data, the data extension-related information corresponding to each extended item of the logistics data is obtained, and the data extension-related information represents the logistics data attributes required for the calculation of the extended item of the logistics data;

[0109] According to the logistics data extension item information, data extension related information and data attribute evaluation index, obtain the data extension related index;

[0110] According to the data expansion related index, the logistics data expansion item information is filtered to obtain the logistics report expansion item information;

[0111] Among them, if the data expansion related index E(y, τ) ≤ 0.08, the logistics data expansion item does not meet the logistics report requirements. If the data expansion related index E(y, τ)> 0.08, the logistics data expansion item is available. The calculation formula of the data expansion related index is:

[0112]

[0113] Where E(y, τ) is the data extension related index of the y-th logistics data extension item, Q(b) is the data attribute evaluation index of the b-th logistics data required by the y-th logistics data extension item, τ is the user identity recognition coefficient, if τ = 1, then Q(c) is the data attribute evaluation index of the c-th logistics data in the transportation management system data, s is the total number of logistics data attribute types in the transportation management system data, if τ = 2, then Q(c) is the data attribute evaluation index of the c-th logistics data in the warehouse management system data, s is the total number of logistics data attribute types in the warehouse management system data, if τ = 3, then Q(c) is the data attribute evaluation index of the c-th logistics data in the order management system data, s is the total number of logistics data attribute types in the order management system data, H is the total number of logistics data attribute types required by the y-th logistics data extension item, and δ is the number of occurrences of the b-th logistics data in the calculation process of the y-th logistics data extension item.

[0114] In this solution, logistics system data is used to obtain logistics data extension item information based on logistics report analysis needs. According to the logistics data extension item information, data extension related information and data attribute evaluation index, the data extension related index is obtained. According to the data extension related index, the logistics data extension item information is screened to obtain the logistics report extension item information. This improves the efficiency of logistics report generation and avoids the impact of numerous logistics data extension items on logistics report reading.

[0115] Obtain logistics report data item information based on logistics report extension item information and logistics report basic item information;

[0116] Based on the report requirement information, filter the logistics system data and obtain the logistics report data;

[0117] Specifically, based on the report requirement information, the logistics system data is screened to obtain logistics report data, including:

[0118] Obtain the report generation cycle information according to the report requirement information;

[0119] Obtain the data time tag information based on data feature recognition according to the logistics system data;

[0120] Obtain the user report requirement instruction time information according to the user interaction information;

[0121] Taking the user report requirement instruction time information as the starting point, based on the report generation cycle information, and according to the data time tag information, classify the logistics system data to obtain a logistics system data group;

[0122] Among them, the logistics system data group represents the logistics system data within a report generation cycle;

[0123] Based on the data time tag information, number the logistics system data group, and take the logistics system data group within one report generation cycle from the user report requirement instruction time as the first logistics system data group;

[0124] Take the first logistics system data group as the logistics report data.

[0125] In this solution, by taking the user report requirement instruction time information as the starting point, based on the report generation cycle information, and according to the data time tag information, classify the logistics system data to obtain a logistics system data group, take the logistics system data group within one report generation cycle from the user report requirement instruction time as the first logistics system data group, and take the first logistics system data group as the logistics report data, the logistics report generation efficiency is improved.

[0126] Fill the logistics report according to the logistics report data item information and the logistics report data to generate a logistics report.

[0127] Specifically, filling the logistics report according to the logistics report data item information and the logistics report data to generate a logistics report specifically includes:

[0128] Obtain the logistics report extension item information and the logistics report basic item information according to the logistics report data item information;

[0129] Based on the logistics report data, fill the logistics report basic items;

[0130] Based on the logistics report data and the logistics report extension item information, obtain the logistics report extension item calculation data;

[0131] Based on the logistics report extension item calculation data, fill the logistics report extension items;

[0132] Obtain the logistics system data group;

[0133] Calculate data based on the logistics system data group and the extended items of the logistics report, and obtain the cycle difference coefficient of the report extended items;

[0134] Based on the cycle difference coefficient of the report extended items, determine whether the calculated data of the logistics report extended items is abnormal. If not, mark the calculated data of the logistics report extended items as normal. If so, mark the calculated data of the logistics report extended items as abnormal, record the cycle difference coefficient of the report extended items, and obtain the information of the logistics report evaluation items;

[0135] Fill the logistics report according to the information of the logistics report evaluation items to generate a logistics report;

[0136] Among them, if the cycle difference coefficient R(y) of the report extended item ≤ 0.82, the calculated data of the logistics report extended item is abnormal. If R(y) > 0.82, the calculated data of the logistics report extended item is normal. The calculation formula of the cycle difference coefficient of the report extended item is:

[0137]

[0138] In the formula, R(y) is the cycle difference coefficient of the y-th logistics data extended item of the report extended item, f(y, D1) represents the calculated data of the y-th logistics data extended item with the first logistics system data group as the input, and f(y, D g ) represents the calculated data of the y-th logistics data extended item with the g-th logistics system data group as the input, and T is the total number of groups of the logistics system data group.

[0139] In this solution, based on the logistics report data, fill the basic items of the filled logistics report, fill the extended items of the filled logistics report through the calculated data of the logistics report extended items, obtain the cycle difference coefficient of the report extended items according to the logistics system data group and the calculated data of the logistics report extended items, determine whether the calculated data of the logistics report extended items is abnormal according to the cycle difference coefficient of the report extended items, and mark the abnormal extended items in the logistics report through the cycle difference coefficient of the report extended items, which improves the reading efficiency, ensures the rapid acquisition of the required data analysis results, reduces the time cost, and improves the overall operation efficiency.

[0140] Refer to Figure 5 As shown, further, in combination with the above-mentioned intelligent generation method of logistics reports based on business data, an intelligent generation system of logistics reports based on business data is proposed, including:

[0141] The main control module is used to screen the logistics data expansion item information according to the data expansion related index, obtain the logistics report expansion item information, judge whether the calculation data of the logistics report expansion item is abnormal according to the report expansion item cycle difference coefficient, analyze the logical relationship between the data attributes of different logistics systems, obtain the logistics data topology structure information, obtain the logistics data topology structure network based on the topology network construction according to the logistics data topology structure information, set weights for the logistics system data of different classifications according to the user interaction information, obtain the logistics data expansion item information based on the logistics system data and the logistics report analysis requirements, fill the logistics report according to the logistics report data item information and the logistics report data, and generate the logistics report;

[0142] The information acquisition module is used to acquire the logistics system data, warehouse management system data, transportation management system data and order management system data, obtain the logistics system data attribute information based on the named entity recognition according to the logistics system data, acquire the user interaction information, user identity information and report requirement information, and obtain the report generation cycle information according to the report requirement information;

[0143] The evaluation module is used to obtain the data attribute evaluation index based on the weight of the logistics system data and the logistics data topology structure network, sort the logistics data attributes in descending order according to the data attribute evaluation index to obtain the data attribute sorting information, obtain the data expansion related information corresponding to each logistics data expansion item based on the logistics data expansion item information, obtain the data expansion related index according to the logistics data expansion item information, data expansion related information and data attribute evaluation index, and obtain the report expansion item cycle difference coefficient according to the logistics system data group and the logistics report expansion item calculation data;

[0144] The display module interacts with the main control module and is used to display the logistics data basic item information, logistics data expansion item information, report generation cycle information and logistics report.

[0145] The main control module specifically includes:

[0146] The control unit is used to analyze the logical relationship between the data attributes of different logistics systems, obtain the logistics data topology structure information, obtain the logistics data topology structure network based on the topology network construction according to the logistics data topology structure information, set weights for the logistics system data of different classifications according to the user interaction information, obtain the logistics data expansion item information based on the logistics system data and the logistics report analysis requirements, fill the logistics report according to the logistics report data item information and the logistics report data, and generate the logistics report;

[0147] An information receiving unit, which interacts with the information acquisition module and the evaluation module, is used to receive data and transmit it to the judgment unit;

[0148] A judgment unit, which is used to screen the logistics data expansion item information according to the data expansion related index, obtain the logistics report expansion item information, and judge whether there is an abnormality in the logistics report expansion item calculation data according to the report expansion item cycle difference coefficient.

[0149] The information acquisition module specifically includes:

[0150] A first acquisition unit, which is used to acquire logistics system data, warehouse management system data, transportation management system data and order management system data, and based on the logistics system data, obtain the logistics system data attribute information through named entity recognition;

[0151] A second acquisition unit, which is used to acquire user interaction information, user identity information and report requirement information, and obtain the report generation cycle information according to the report requirement information.

[0152] The evaluation module specifically includes:

[0153] A data attribute evaluation unit, which is used to obtain the data attribute evaluation index based on the weight of the logistics system data and the logistics data topology network, sort the logistics data attributes in descending order according to the data attribute evaluation index, and obtain the data attribute sorting information;

[0154] A data expansion evaluation unit, which is used to obtain the data expansion related information corresponding to each logistics data expansion item based on the logistics data expansion item information, and obtain the data expansion related index according to the logistics data expansion item information, data expansion related information and data attribute evaluation index;

[0155] A cycle difference evaluation unit, which is used to obtain the report expansion item cycle difference coefficient according to the logistics system data group and the logistics report expansion item calculation data.

[0156] In summary, the advantages of the present invention are as follows: By analyzing the data attributes of different logistics data through the logistics data topology structure network, the data processing efficiency is improved, which facilitates the subsequent evaluation of the data. Through the weights of the logistics system data and the logistics data topology structure network, the data attribute evaluation index is obtained. By arranging the basic data in the logistics report according to the data attribute evaluation index, the important data in the logistics report is highlighted, ensuring the accuracy and consistency of the data. Through the logistics data expansion item information, data expansion-related information, and the data attribute evaluation index, the data expansion-related index is obtained. By screening the logistics data expansion item information according to the data expansion-related index, the generation efficiency of the logistics report is improved, and the numerous logistics data expansion items are avoided. By calculating data through the logistics system data group and the logistics report expansion item, the cycle difference coefficient of the report expansion item is obtained. By marking the abnormal expansion items in the logistics report according to the cycle difference coefficient of the report expansion item, the reading efficiency is improved, ensuring the rapid acquisition of the required data analysis results, reducing the time cost, and improving the overall operation efficiency.

[0157] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification is only the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection required by the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent generation method for logistics reports based on business data, characterized in that, Including: Obtain logistics system data, where the logistics system includes a warehousing management system, a transportation management system, and an order management system; Based on the logistics system data and through topological structure analysis, obtain a logistics data topological structure network; Obtain user interaction information, where the user interaction information includes user identity information and report requirement information, and the report requirements are divided into daily report requirements, weekly report requirements, and monthly report requirements; Based on the user interaction information, generate the arrangement of logistics report basic information to obtain logistics report basic item information, where each type of logistics system data in the logistics report basic item information is arranged according to the sorting information of data attributes; Based on the logistics system data and the logistics report analysis requirements, obtain logistics report expansion item information; Based on the logistics report expansion item information and the logistics report basic item information, obtain logistics report data item information; Based on the report requirement information, filter the logistics system data to obtain logistics report data; Based on the logistics report data item information and the logistics report data, fill the logistics report to generate a logistics report; The generating the arrangement of logistics report basic information based on the user interaction information to obtain logistics report basic item information specifically includes: Based on system function analysis, classify the logistics system data to obtain warehousing management system data, transportation management system data, and order management system data; Based on the user interaction information, set weights for different classified logistics system data; Based on the weights of the logistics system data and the logistics data topological structure network, obtain a data attribute evaluation index; Sort the logistics data attributes in descending order of the data attribute evaluation index to obtain data attribute sorting information; Based on the data attribute sorting information, generate the arrangement of logistics report basic information to obtain logistics report basic item information; Among them, the calculation formula of the data attribute evaluation index is: Wherein, Q(x, τ) represents the data attribute evaluation index of the logistics data attribute represented by the x-th logistics data attribute node, τ is the user identity recognition coefficient. If τ = 1, the weight ratio of the warehousing management system data, transportation management system data, and order management system data is 1:2:

1. If τ = 2, the weight ratio of the warehousing management system data, transportation management system data, and order management system data is 2:1:

1. If τ = 3, the weight ratio of the warehousing management system data, transportation management system data, and order management system data is 1:1:2, α x is the logistics data weight of the x-th logistics data attribute node, α i is the logistics data weight of the i-th upper node of the x-th logistics data attribute node, w i is the number of intermediate nodes between the i-th upper node of the x-th logistics data attribute node and the x-th logistics data attribute node, k i is the total number of adjacent logistics data attribute nodes logically pointed to by the i-th upper node of the x-th logistics data attribute node, α j is the logistics data weight of the j-th lower node of the x-th logistics data attribute node, w j is the number of intermediate nodes between the j-th lower node of the x-th logistics data attribute node and the x-th logistics data attribute node, k j is the total number of logistics data attribute nodes that logically point to the j-th lower node of the x-th logistics data attribute node among the adjacent nodes of the j-th lower node of the x-th logistics data attribute node. n is the total number of upper nodes of the x-th logistics data attribute node, and m is the total number of lower nodes of the x-th logistics data attribute node; The obtaining the logistics report expansion item information based on the logistics system data and the logistics report analysis requirements specifically includes: Based on the logistics system data and the logistics report analysis requirements, obtain logistics data expansion item information, where the logistics data expansion item information includes inventory turnover rate, order completion rate, return rate, on-time delivery rate, transportation rate, and profit rate; Based on the logistics data expansion item information, obtain data expansion related information corresponding to each logistics data expansion item, where the data expansion related information represents the logistics data attributes required for calculating the logistics data expansion item; Based on the logistics data expansion item information, the data expansion related information, and the data attribute evaluation index, obtain a data expansion related index; Based on the data expansion related index, filter the logistics data expansion item information to obtain logistics report expansion item information; Among them, if the data expansion related index E(y, τ) ≤ 0.08, then this logistics data expansion item does not meet the logistics report requirements, and if the data expansion related index E(y, τ) > 0.08, then this logistics data expansion item is available. The calculation formula of the data expansion related index is: Wherein, E(y, τ) is the data expansion related index of the y-th logistics data expansion item, Q(b) is the data attribute evaluation index of the b-th logistics data required for calculating the y-th logistics data expansion item, τ is the user identity recognition coefficient. If τ = 1, then Q(c) is the data attribute evaluation index of the c-th logistics data in the transportation management system data, and s is the total number of logistics data attribute types in the transportation management system data. If τ = 2, then Q(c) is the data attribute evaluation index of the c-th logistics data in the warehousing management system data, and s is the total number of logistics data attribute types in the warehousing management system data. If τ = 3, then Q(c) is the data attribute evaluation index of the c-th logistics data in the order management system data, and s is the total number of logistics data attribute types in the order management system data. H is the total number of logistics data attribute types required for calculating the y-th logistics data expansion item, and δ is the occurrence times of the b-th logistics data in the calculation process of the y-th logistics data expansion item; The filling of the logistics report based on the logistics report data item information and the logistics report data to generate a logistics report specifically includes: Obtaining logistics report expansion item information and logistics report basic item information according to the logistics report data item information; Taking the logistics report data as the basis, filling the filled logistics report basic item; Obtaining logistics report expansion item calculation data based on the logistics report data and the logistics report expansion item information; Filling the filled logistics report expansion item based on the logistics report expansion item calculation data; Obtaining a logistics system data group; Obtaining a report expansion item cycle difference coefficient according to the logistics system data group and the logistics report expansion item calculation data; Judging whether the logistics report expansion item calculation data is abnormal according to the report expansion item cycle difference coefficient. If not, marking the logistics report expansion item calculation data as normal. If so, marking the logistics report expansion item calculation data as abnormal, recording the report expansion item cycle difference coefficient, and obtaining logistics report evaluation item information; Filling the logistics report according to the logistics report evaluation item information to generate a logistics report; Among them, if the report expansion item cycle difference coefficient R(y) ≤ 0.82, the logistics report expansion item calculation data is abnormal. If R(y) > 0.82, the logistics report expansion item calculation data is normal. The calculation formula of the report expansion item cycle difference coefficient is: Wherein, R(y) is the report expansion item cycle difference coefficient of the y-th logistics data expansion item, f(y, D1) represents the calculated data of the y-th logistics data expansion item with the first logistics system data group as the input, and f(y, D g ) represents the calculated data of the y-th logistics data expansion item with the g-th logistics system data group as the input, and T is the total number of logistics system data groups.

2. The intelligent generation method of a logistics report based on business data according to claim 1, characterized in that The obtaining of the logistics data topology structure network based on topological structure analysis according to the logistics system data specifically includes: Obtaining logistics system data attribute information based on named entity recognition according to the logistics system data. The logistics system data attributes include logistics transportation time, logistics transportation mode, logistics order time, and logistics warehousing information; Analyzing the logical relationship between different logistics system data attributes to obtain logistics data topology structure information; Obtaining a logistics data topology structure network based on topological network construction according to the logistics data topology structure information. The logistics data topology structure network includes several logistics data attribute nodes; Among them, for any logistics data attribute node in the logistics data topology structure network, the logistics data attribute node that logically points to this node is the upper node of this node, and the logistics data attribute node that this node logically points to is the lower node.

3. The intelligent generation method of a logistics report based on service data according to claim 1, wherein, Based on the report requirement information, screening the logistics system data to obtain logistics report data, specifically including: Obtaining the report generation cycle information according to the report requirement information; Based on the logistics system data and through data feature recognition, obtaining the data time tag information; Obtaining the user report requirement instruction time information according to the user interaction information; Taking the user report requirement instruction time information as the starting point, using the report generation cycle information as the benchmark, and according to the data time tag information, classifying the logistics system data to obtain the logistics system data group; Among them, the logistics system data group represents the logistics system data within a report generation cycle; Based on the data time tag information, numbering the logistics system data group, and taking the logistics system data group within one report generation cycle from the user report requirement instruction time as the first logistics system data group; Taking the first logistics system data group as the logistics report data.

4. A logistics report intelligent generation system based on business data, which is used to implement the generation method described in any one of claims 1-3, and is characterized in that, Including: The main control module, which is used to screen the logistics data expansion item information according to the data expansion related index to obtain the logistics report expansion item information, judge whether the logistics report expansion item calculation data is abnormal according to the report expansion item cycle difference coefficient, analyze the logical relationship between different logistics system data attributes to obtain the logistics data topology structure information, based on the topology network construction according to the logistics data topology structure information to obtain the logistics data topology structure network, set weights for different classified logistics system data according to the user interaction information, obtain the logistics data expansion item information based on the logistics report analysis requirement according to the logistics system data, and fill the logistics report according to the logistics report data item information and the logistics report data to generate the logistics report; The information acquisition module, which is used to acquire the logistics system data, the warehousing management system data, the transportation management system data and the order management system data, obtain the logistics system data attribute information based on the named entity recognition according to the logistics system data, acquire the user interaction information, the user identity information and the report requirement information, and obtain the report generation cycle information according to the report requirement information; The evaluation module, which is used to obtain the data attribute evaluation index based on the weight of the logistics system data and the logistics data topology structure network, sort the logistics data attributes in descending order according to the data attribute evaluation index to obtain the data attribute sorting information, obtain the data expansion related information corresponding to each logistics data expansion item based on the logistics data expansion item information, obtain the data expansion related index according to the logistics data expansion item information, the data expansion related information and the data attribute evaluation index, and obtain the report expansion item cycle difference coefficient according to the logistics system data group and the logistics report expansion item calculation data; A display module that interacts with the main control module and is used to display basic logistics data items, extended logistics data items, report generation cycle information, and logistics reports.

5. The intelligent generation system of logistics reports based on business data according to claim 4, characterized in that The main control module specifically includes: A control unit that analyzes the logical relationships between different logistics system data attributes to obtain logistics data topology structure information, based on which, through topological network construction, obtains a logistics data topology structure network, sets weights for different categories of logistics system data according to user interaction information, obtains extended logistics data item information based on the logistics system data and the requirements of logistics report analysis, fills the logistics report according to the logistics report data item information and logistics report data, and generates a logistics report; An information receiving unit that interacts with the information acquisition module and the evaluation module and is used to receive data and transmit it to the judgment unit; A judgment unit that filters the extended logistics data item information according to the data extension related index to obtain the extended logistics report item information, and judges whether there is an abnormality in the calculated data of the extended logistics report item according to the report extension item cycle difference coefficient.

6. The intelligent generation system of logistics reports based on business data according to claim 4, characterized in that, The information acquisition module specifically includes: A first acquisition unit that acquires logistics system data, warehouse management system data, transportation management system data, and order management system data, and based on the logistics system data, obtains logistics system data attribute information through named entity recognition; A second acquisition unit that acquires user interaction information, user identity information, and report requirement information, and based on the report requirement information, obtains report generation cycle information.

7. An intelligent generation system for logistics reports based on business data according to claim 4, characterized in that, The evaluation module specifically includes: A data attribute evaluation unit that obtains a data attribute evaluation index based on the weights of the logistics system data and the logistics data topology structure network, sorts the logistics data attributes in descending order of the data attribute evaluation index, and obtains data attribute sorting information; A data extension evaluation unit that obtains the data extension related information corresponding to each extended logistics data item based on the extended logistics data item information, and obtains a data extension related index according to the extended logistics data item information, the data extension related information, and the data attribute evaluation index; A cycle difference evaluation unit that obtains a report extension item cycle difference coefficient according to the logistics system data group and the calculated data of the extended logistics report item.

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