Method, device and equipment for collecting courier express parcels at courier station and storage medium

Abstract

The invention relates to the field of logistics, and discloses a courier express collection method, device and equipment and a storage medium, and the method is used for managing and optimizing the courier express collection process of a courier so as to improve the collection efficiency and accuracy. The method comprises the following steps: acquiring to-be-collected express item data of each post, and aggregating the to-be-collected express item data into a plurality of data cards according to post names and addresses; extracting order information of to-be-collected express items of each data card, and generating a to-be-collected order list; abnormal express items are screened out from the to-be-collected order list, the abnormal reasons of the abnormal express items are analyzed, and the abnormal express items are divided into two types of express items which can be collected and express items which are not collected according to the abnormal reasons; generating an abnormal list according to the divided abnormal express parcels, and removing the abnormal express parcels of which the categories are not parcels from the to-be-parcels order list; and obtaining the work arrangement of the collecting salesman, and generating a collecting route according to the to-be-collected order list and the work arrangement of the collecting salesman.

Description

Technical Field

[0001] The present invention relates to the field of logistics technology, and in particular to a method, device, equipment and storage medium for collecting express items at a post station. Background Art

[0002] In the current logistics distribution system, for the post stations in a specific area, these stations are responsible for the unified collection and sorting of scattered packages ordered daily. Specifically, the staff of the post station will gather these scattered parts and make orders for the next step of logistics processing. However, since these post stations do not have independent logistics transportation capabilities, they must rely on external logistics companies to transfer packages. In this case, the couriers of the logistics company need to go to each post station regularly to pick up goods in batches. They need to check and hand over these packages one by one, and then take them back to the logistics company site to which they belong for subsequent delivery processing.

[0003] The existing collection method cannot meet the courier's demand for efficiency and accuracy in the process of bulk pickup and handover. This not only increases the courier's workload, but also affects the efficiency of overall logistics distribution and customer satisfaction. Summary of the invention

[0004] The present invention provides a method, device, equipment and storage medium for collecting express items at a post station, which are used to manage and optimize the express item collection process of the post station to improve the collection efficiency and accuracy.

[0005] The first aspect of the present invention provides a method for collecting express parcels at a post station, and the method for collecting express parcels at the post station comprises: obtaining data on express parcels to be collected at each post station, and aggregating the data on express parcels to be collected into multiple data cards according to the post station name and address; extracting order information of express parcels to be collected on each of the data cards, and generating a list of orders to be collected; screening out abnormal express parcels from the list of orders to be collected according to the order information of the express parcels to be collected, analyzing the abnormal reasons of the abnormal express parcels, and dividing the abnormal express parcels into two categories, namely, collectable parcels and non-collectable parcels, according to the abnormal reasons; generating an abnormal list according to the classified abnormal express parcels, and removing abnormal express parcels classified as non-collectable parcels from the list of orders to be collected; obtaining the work arrangements of the collection clerks, and generating collection routes according to the list of orders to be collected and the work arrangements of the collection clerks.

[0006] Optionally, in a first implementation method of the first aspect of the present invention, the data of express parcels to be collected at each post station is obtained, and the data of express parcels to be collected are aggregated into multiple data cards according to the post station name and address, including: obtaining the data of express parcels to be collected at each post station, and performing data cleaning on the data of express parcels to be collected; aggregating the data of express parcels to be collected into multiple data sets according to the post station name and address; and generating a data card for each of the data sets, wherein the data card includes the name and address of the post station and the order information of the express parcels to be collected.

[0007] Optionally, in a second implementation method of the first aspect of the present invention, the order information of the express items to be collected of each data card is extracted, and a list of orders to be collected is generated, including: for each data card, parsing the information in the data card to extract the order information of the express items to be collected; sorting the order information of the express items to be collected according to different stations; creating a list of orders to be collected, and adding the sorted order information of the express items to be collected to the list of orders to be collected.

[0008] Optionally, in a third implementation method of the first aspect of the present invention, abnormal express parcels are screened out from the list of orders to be collected according to the order information of the express parcels to be collected, the abnormal reasons of the abnormal express parcels are analyzed, and the abnormal express parcels are divided into two categories: pick-up parcels and non-pick-up parcels according to the abnormal reasons, including: establishing an abnormal classification rule base; screening out abnormal express parcels from the list of orders to be collected according to the order information of the express parcels to be collected, and analyzing the abnormal reasons of the abnormal express parcels; comparing the abnormal reasons of the abnormal express parcels with the classification rules of the abnormal classification rule base to divide the abnormal express parcels into two categories: pick-up parcels and non-pick-up parcels.

[0009] Optionally, in a fourth implementation method of the first aspect of the present invention, the establishment of an exception classification rule base includes: collecting historical exception data of express parcels collected by the post station, the historical exception data including exception details and collection results; dividing the historical exception data into first exception data and second exception data according to the collection results; classifying and summarizing the first exception data and the second exception data respectively to obtain a list of exception causes; forming classification rules according to the list of exception causes, and establishing an exception classification rule base according to the classification rules.

[0010] Optionally, in a fifth implementation of the first aspect of the present invention, an abnormal list is generated based on the classified abnormal express parcels, and abnormal express parcels categorized as not to be collected are removed from the list of orders to be collected, including: generating an abnormal list based on the classified abnormal express parcels; filtering out abnormal express parcels categorized as not to be collected from the abnormal list; removing abnormal express parcels categorized as not to be collected from the list of orders to be collected by matching order numbers, and updating the list of orders to be collected.

[0011] Optionally, in a sixth implementation method of the first aspect of the present invention, the work schedule of the collection clerk is obtained, and a collection route is generated according to the list of orders to be collected and the work schedule of the collection clerk, including: determining the address of the post station to which the express items to be collected in the list of orders to be collected belong, and using a geographic information system to convert the address of the post station into geographic coordinates; obtaining the work schedule of the collection clerk, applying a heuristic algorithm, and generating a preliminary collection route according to the converted address coordinates and the work schedule of the collection clerk; obtaining traffic congestion prediction conditions, and optimizing the preliminary collection route using a simulated annealing algorithm based on the traffic congestion prediction conditions to obtain an optimized collection route.

[0012] The second aspect of the present invention provides a device for collecting express parcels at a post station, comprising: an aggregation module for obtaining the data of express parcels to be collected at each post station, and aggregating the data of express parcels to be collected into multiple data cards according to the post station name and address; a generation module for extracting the order information of the express parcels to be collected on each of the data cards, and generating a list of orders to be collected; a classification module for screening out abnormal express parcels from the list of orders to be collected according to the order information of the express parcels to be collected, analyzing the abnormal reasons of the abnormal express parcels, and dividing the abnormal express parcels into two categories: collectible parcels and non-collectible parcels according to the abnormal reasons; a removal module for generating an abnormal list according to the classified abnormal express parcels, and removing abnormal express parcels classified as non-collectible parcels from the list of orders to be collected; a collection module for obtaining the work arrangements of the collection clerks, and generating a collection route according to the list of orders to be collected and the work arrangements of the collection clerks.

[0013] Optionally, in a first implementation method of the second aspect of the present invention, the aggregation module includes: a cleaning unit, used to obtain the data of express parcels to be collected from each station, and perform data cleaning on the data of express parcels to be collected; an aggregation unit, used to aggregate the data of express parcels to be collected into multiple data sets according to the station name and address; a first generation unit, used to generate a data card for each of the data sets, and the data card includes the name and address of the station and the order information of the express parcels to be collected.

[0014] Optionally, in a second implementation method of the second aspect of the present invention, the generation module includes: an extraction unit, used to parse the information in the data card for each data card to extract the order information of the express items to be collected; a sorting unit, used to sort the order information of the express items to be collected according to different stations; and a second generation unit, used to create a list of orders to be collected, and add the sorted order information of the express items to be collected to the list of orders to be collected.

[0015] Optionally, in a third implementation of the second aspect of the present invention, the division module includes: an establishment unit for establishing an abnormal classification rule base; a first screening unit for screening out abnormal express parcels from the list of orders to be collected according to the order information of the express parcels to be collected, and analyzing the abnormal reasons of the abnormal express parcels; a division unit for comparing the abnormal reasons of the abnormal express parcels with the classification rules of the abnormal classification rule base to divide the abnormal express parcels into two categories: collectible parcels and non-collectible parcels.

[0016] Optionally, in a fourth implementation of the second aspect of the present invention, the elimination module includes: a third generating unit, used to generate an abnormal list based on the classified abnormal express items; a second screening unit, used to screen out abnormal express items classified as not to be collected from the abnormal list; and an elimination unit, used to eliminate abnormal express items classified as not to be collected from the list of orders to be collected by matching order numbers, and update the list of orders to be collected.

[0017] Optionally, in a fifth implementation of the second aspect of the present invention, the collection module includes: a conversion unit, used to determine the address of the post station to which the express items to be collected in the list of collection orders belong, and use a geographic information system to convert the address of the post station into geographic coordinates; a collection unit, used to obtain the work schedule of the collection clerk, apply a heuristic algorithm, and generate a preliminary collection route according to the converted address coordinates and the work schedule of the collection clerk; an optimization unit, used to obtain traffic congestion prediction, and based on the traffic congestion prediction, use a simulated annealing algorithm to optimize the preliminary collection route to obtain an optimized collection route.

[0018] The third aspect of the present invention provides a post station express delivery collection device, comprising: a memory and at least one processor, the memory storing computer-readable instructions, the memory and the at least one processor being interconnected through a line; the at least one processor calls the computer-readable instructions in the memory so that the post station express delivery collection device executes each step of the post station express delivery collection method as described above.

[0019] The fourth aspect of the present invention provides a computer-readable storage medium, which stores computer-readable instructions. When the computer-readable storage medium is run on a computer, it enables the computer to execute the various steps of the method for collecting express parcels at the post station as described above.

[0020] In the technical solution provided by the present invention, the data of the express parcels to be collected at each post station are aggregated according to the post station name and address to form multiple data cards. For each data card, the order information of the express parcels to be collected is extracted, a list of orders to be collected is generated, and abnormal express parcels are screened out from the list of orders to be collected. For the abnormal express parcels, they are divided into two categories, namely, collectible parcels and non-collectible parcels, according to the reasons for the abnormalities, and an abnormal list is generated. The abnormal express parcels classified as non-collectible parcels are removed from the list of orders to be collected. Finally, a collection route is generated according to the list of orders to be collected and the work arrangement of the collection clerk. The card format also makes the transmission and sharing of information more convenient, improving the management efficiency of the entire collection process. At the same time, abnormal express parcels that are not collected are removed from the list of orders to be collected, avoiding unnecessary collection attempts and saving time and resources. In addition, according to the list of orders to be collected and the work arrangements of the collection staff, personalized collection routes are generated, which can reduce the time and cost of the staff on the road and improve the collection efficiency. At the same time, personalized route planning also enables the staff to flexibly adjust the collection plan according to their actual situation, improving the flexibility and adaptability of the work. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A first flow chart of a method for collecting express items at a post station provided in an embodiment of the present invention;

[0022] Figure 2 A second flow chart of the method for collecting express items at a post station provided in an embodiment of the present invention;

[0023] Figure 3 A third flow chart of the method for collecting express items at a post station provided in an embodiment of the present invention;

[0024] Figure 4 A fourth flow chart of the method for collecting express items at a post station provided in an embodiment of the present invention;

[0025] Figure 5 A fifth flow chart of the method for collecting express items at a post station provided in an embodiment of the present invention;

[0026] Figure 6 A sixth flow chart of the method for collecting express items at a post station provided in an embodiment of the present invention;

[0027] Figure 7 A schematic diagram of the structure of a device for collecting express items at a post station provided in an embodiment of the present invention;

[0028] Figure 8 A schematic diagram of the structure of the express delivery collection equipment provided in the post station according to an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The embodiment of the present invention provides a method, device, equipment and storage medium for collecting express items at a post station, which is used to manage and optimize the express item collection process of the post station to improve the collection efficiency and accuracy. The method includes: obtaining the data of express items to be collected at each post station, and aggregating the data of express items to be collected into multiple data cards according to the post station name and address; extracting the order information of the express items to be collected from each of the data cards, and generating a list of orders to be collected; screening out abnormal express items from the list of orders to be collected according to the order information of the express items to be collected, analyzing the abnormal reasons of the abnormal express items, and dividing the abnormal express items into two categories of collectible items and non-collectible items according to the abnormal reasons; generating an abnormal list according to the divided abnormal express items, and removing the abnormal express items classified as non-collectible items from the list of orders to be collected; obtaining the work arrangement of the collection clerk, and generating a collection route according to the list of orders to be collected and the work arrangement of the collection clerk.

[0030] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" or "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0031] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 A first embodiment of a method for collecting express items at a post station in an embodiment of the present invention includes:

[0032] S101. Obtain the data of express items to be collected at each post station, and aggregate the data of express items to be collected into multiple data cards according to the post station name and address.

[0033] It is understandable that the execution subject of the present invention may be a post station express delivery collection device, or a terminal or a server, which is not limited here. The embodiment of the present invention is described by taking the server as the execution subject as an example.

[0034] In this embodiment, a post station express delivery collection system can be built, and each post station automatically uploads the collection order to the post station express delivery collection system after receiving it. When obtaining the express delivery data to be collected at each post station, it can be directly queried from the post station express delivery collection system.

[0035] In this embodiment, the format and content of the data card are pre-designed according to actual needs. The data of the express items to be collected at each post station are classified according to the post station name and address, and all the express item data under the same post station name and address are aggregated. Then, according to the designed format and content, the aggregated data is filled into the data card. The generated data card can be presented in the form of a spreadsheet, chart, or report.

[0036] S102: extract the order information of the express items to be collected from each data card, and generate a list of orders to be collected.

[0037] In this embodiment, the order information of the express items to be collected in each data card is extracted, including the express order number, recipient information, sender information, express type, etc. The extracted information is organized in a certain format and order to generate a list of orders to be collected.

[0038] S103, screening out abnormal express items from the list of orders to be collected according to the order information of the express items to be collected, analyzing the abnormal reasons of the abnormal express items, and classifying the abnormal express items into two categories, namely, items that can be collected and items that cannot be collected, according to the abnormal reasons.

[0039] In this embodiment, each express item to be collected in the list of orders to be collected is checked for marking information, such as overweight, contraband, wrong address, etc. Express items with marking information are analyzed to determine the cause of the abnormality.

[0040] In this embodiment, according to the cause of the abnormality, abnormal express parcels are divided into two categories: parcels that can be collected (such as overweight but can be handled in a special way) and parcels that cannot be collected (such as prohibited items, address errors that cannot be corrected).

[0041] S104. Generate an abnormal list based on the classified abnormal express items, and remove abnormal express items that are classified as not to be collected from the list of orders to be collected.

[0042] In this embodiment, the format and content of the exception list are pre-designed according to actual needs. The classified abnormal express items are recorded and sorted, and the information of the sorted abnormal express items is filled into the exception list. The exception list can be presented in the form of electronic spreadsheets, reports, etc., which is convenient for subsequent review and processing.

[0043] In this embodiment, all abnormal express items that are classified as not to be collected are deleted from the list of orders to be collected, to ensure that subsequent collection work will not be affected by these express items.

[0044] S105: Obtain the work schedule of the collection clerk, and generate a collection route according to the list of orders to be collected and the work schedule of the collection clerk.

[0045] In this embodiment, factors such as the work arrangement and working hours of the collection clerk are taken into consideration, combined with the number and distribution of express parcels in the list of orders to be collected, and the geographical location information of the post station, and an algorithm is used to plan the optimal collection route to ensure that the clerk can complete the collection task efficiently.

[0046] The present embodiment provides a method for collecting express parcels at a post station, which aggregates the data of express parcels to be collected at each post station according to the post station name and address to form multiple data cards, extracts the order information of the express parcels to be collected for each data card, generates a list of orders to be collected, and screens out abnormal express parcels from the list of orders to be collected. For abnormal express parcels, they are divided into two categories, namely, collectible parcels and non-collectible parcels, according to the reasons for the abnormalities, and an abnormal list is generated, and abnormal express parcels classified as non-collectible parcels are removed from the list of orders to be collected. Finally, a collection list is generated according to the list of orders to be collected and the work arrangements of the collection clerks. The form of routes and data cards also makes the transmission and sharing of information more convenient, improving the management efficiency of the entire collection process. At the same time, abnormal express parcels that are not collected are removed from the list of orders to be collected, avoiding unnecessary collection attempts and saving time and resources. In addition, according to the list of orders to be collected and the work arrangements of the collection staff, personalized collection routes are generated, which can reduce the time and cost of the staff on the road and improve the collection efficiency. At the same time, personalized route planning also enables the staff to flexibly adjust the collection plan according to their actual situation, improving the flexibility and adaptability of the work.

[0047] See also Figure 2 The second embodiment of the method for collecting express items at a post station in the embodiment of the present invention includes:

[0048] S201. Obtain the data of express items to be collected at each post station, and perform data cleaning on the data of express items to be collected.

[0049] In this embodiment, the data of express items to be collected at each post is obtained in batches through the internal system of the express company or a third-party data interface.

[0050] In this embodiment, data cleaning of the collected express items includes:

[0051] Missing value processing: Check and fill in the missing values ​​in the data of express items to be collected, such as missing express order numbers, recipient information, etc.

[0052] Outlier processing: Identify and process outliers in the data of express items to be collected, such as unreasonable weight, invalid date, etc.

[0053] Data deduplication: Delete duplicate data records of express items to be collected to ensure that each piece of data of express items to be collected is unique.

[0054] S202. Aggregate the data of express items to be collected into multiple data sets according to the names and addresses of the post stations.

[0055] In this embodiment, the data of express items to be collected are grouped into corresponding data sets according to the names and addresses of the stations, and each data set is summarized and counted, such as calculating the total number of express items to be collected at each station.

[0056] S203. Generate a data card for each data set, where the data card includes the name and address of the post and the order information of the express items to be collected.

[0057] In this embodiment, a data card template is pre-designed, including the name and address of the post and key information of the express items to be collected (such as the express number, the name of the recipient, the contact number, the collection time, etc.). Then, the data of the data set is filled into the data card template to generate a data card.

[0058] In this embodiment, the data of express parcels to be collected is processed intelligently, which not only ensures the accuracy and completeness of the data, but also enables managers to understand the express collection status of each station at a glance through data aggregation and card-based display, facilitating timely scheduling and optimizing resource allocation, thereby improving overall operational efficiency and customer satisfaction.

[0059] See also Figure 3 A third embodiment of a method for collecting express items at a post station in an embodiment of the present invention includes:

[0060] S301. For each data card, parse the information in the data card to extract the order information of the express items to be collected.

[0061] In this embodiment, according to the preset information format and fields, detailed information of the express items to be collected is extracted from the data card, such as the express number, recipient name, contact number, collection address, scheduled collection time, etc.

[0062] S302. Arrange the order information of express parcels to be collected by different stations.

[0063] In this embodiment, the order information of express items to be collected at different stations is sorted, and the order information of express items to be collected at the same station is sorted according to the order time.

[0064] S303: Create a list of orders to be collected, and add the sorted order information of the express items to be collected to the list of orders to be collected.

[0065] In this embodiment, according to actual needs, the template and format of the waiting collection order list are designed, including title, column name, sorting rules, etc. The sorted courier information to be collected is entered into the waiting collection order list according to the template and format of the waiting collection order list to generate the final waiting collection order list.

[0066] In this embodiment, the generated list of orders to be collected may be reviewed to ensure the accuracy and completeness of the information.

[0067] In this embodiment, by deeply analyzing the information of express items to be collected in each data card and organizing them in order according to different stations, a clear and concise list of orders to be collected is finally generated, which can improve the organization and efficiency of the express collection process.

[0068] See also Figure 4 A fourth embodiment of a method for collecting express items at a post station in an embodiment of the present invention includes:

[0069] S401. Establish an abnormal classification rule base.

[0070] In this embodiment, an exception classification rule base is established, which specifically includes: collecting historical exception data of express parcels collected by the post station, the historical exception data including exception details and collection results; dividing the historical exception data into first exception data and second exception data according to the collection results; classifying and summarizing the first exception data and the second exception data respectively to obtain a list of exception causes; forming classification rules according to the list of exception causes, and establishing an exception classification rule base according to the classification rules.

[0071] In this embodiment, based on the collection results, historical abnormal data are divided into two categories: first abnormal data (such as express parcels that are successfully collected but have abnormalities in the process) and second abnormal data (such as express parcels that cannot be collected due to insurmountable reasons).

[0072] In this embodiment, the first abnormal data and the second abnormal data are classified respectively, that is, further subdivided according to the similarity of the abnormal details, and the abnormal causes of each category are summarized to form an abnormal cause list.

[0073] For example, based on the collected historical abnormal data, the following list of abnormal reasons is compiled:

[0074] Address error: including unknown address, non-existent address, inconsistent address with actual address, etc.

[0075] Invalid contact information: including incorrect contact number, empty contact number, contact number that cannot be reached, etc.

[0076] Packaging issues: including damaged packaging, packaging that does not comply with regulations, etc.

[0077] Time conflict: including the scheduled collection time not matching the actual time, collection timeout, etc.

[0078] Recipient issues: including recipient’s refusal to receive the item, recipient’s request to change information, etc.

[0079] Prohibited items: The express package contains prohibited or dangerous goods.

[0080] Site issues: including station closures, insufficient staff at stations, etc.

[0081] The classification rules formed according to the abnormal reason list are as follows:

[0082] Rules for picking up items:

[0083] The address is incorrect but the correct address can be confirmed by other means (such as contacting the recipient, checking the map, etc.).

[0084] The contact information is invalid but the recipient can be reached through other means (such as social media, email, etc.).

[0085] Packaging issues but can be resolved with simple repairs or repackaging.

[0086] The issue is with the recipient but the recipient agrees to continue collecting the item or the issue can be resolved through other means.

[0087] There may be site problems, but we can continue collecting by adjusting the collection site or waiting for the site problem to be resolved.

[0088] No-collection rules:

[0089] The address is incorrect and the correct address cannot be confirmed by other means.

[0090] The contact information is invalid and the recipient cannot be contacted by other means.

[0091] Packaging problems that cannot be solved by simple repair or repackaging (such as liquid leakage, damage to fragile items, etc.).

[0092] There is a problem with the recipient and the recipient clearly refuses to accept the parcel or is unable to continue to accept the parcel.

[0093] The express package contains prohibited items, which violates laws and regulations.

[0094] There are site problems and it is impossible to continue collecting parcels by adjusting the collection site or waiting for the site problem to be resolved (such as the station being closed for a long time or there is a serious shortage of staff).

[0095] Based on the above classification rules, the following exception classification rule library can be established.

[0096] Anomaly Classification Rule Base

[0097]

[0098]

[0099] S402: Filter out abnormal express items from the list of orders to be collected according to the order information of the express items to be collected, and analyze the abnormal reasons of the abnormal express items.

[0100] In this embodiment, abnormal express items are screened out from the list of orders to be collected based on the order information of the express items to be collected, and the abnormal reasons of the abnormal express items are analyzed, specifically including: parsing the order information of the express items to be collected to obtain marking information, the marking information including status and marking details; screening out abnormal express items from the list of orders to be collected based on the status of the express items to be collected; for abnormal express items, extracting keywords of the marking details, and determining the abnormal reasons of the abnormal express items based on the extracted keywords.

[0101] In this embodiment, the status includes order placed and waiting for collection, abnormal, express delivery has been cancelled, waiting for payment, paid but the express delivery order has not yet been generated, etc.

[0102] By checking the status of each express item to be collected, the express items to be collected with abnormal status are filtered out.

[0103] S403: Compare the abnormal reasons of the abnormal express items with the classification rules of the abnormal classification rule base to classify the abnormal express items into two categories: items that can be picked up and items that cannot be picked up.

[0104] In this embodiment, the abnormal reason of each abnormal express item is compared with the classification rules in the abnormal classification rule library to find the classification rules that match the abnormal reason. According to the matching classification rules, the abnormal express items are divided into pick-up items or non-pick-up items, and the classification result (pick-up items or non-pick-up items) of each abnormal express item is recorded.

[0105] For example, suppose there is an abnormal express parcel whose abnormal reason is "the address is wrong but the correct address can be confirmed by contacting the recipient". Find the rules related to "wrong address" in the abnormal classification rule base. According to the rules in the rule base, "the address is wrong but the correct address can be confirmed by other means" is a pick-up parcel. Classify the abnormal express parcel as a pick-up parcel, and record the classification basis as "the address is wrong but the correct address can be confirmed by contacting the recipient".

[0106] In this embodiment, abnormal express parcels are accurately screened out from the list of orders to be collected, and are classified according to their abnormal reasons, so that the abnormal express parcels are divided into two categories: collectible parcels and non-collectible parcels, which effectively improves the efficiency and accuracy of the express collection process.

[0107] See also Figure 5 A fifth embodiment of a method for collecting express items at a post station in an embodiment of the present invention includes:

[0108] S501. Generate an abnormal list based on the classified abnormal express items.

[0109] In this embodiment, based on the previous classification results of abnormal express items (items that can be picked up and items that cannot be picked up), a detailed abnormal list is sorted and generated. The abnormal list includes key information such as the order number, abnormal reason, and classification result (item that can be picked up / item that cannot be picked up) of each abnormal express item.

[0110] S502. Filter out abnormal express items of the category of not being collected from the abnormal list.

[0111] In this embodiment, the exception list is traversed, and all abnormal express items marked as "not accepted" are screened out according to the classification results.

[0112] In this embodiment, a screening tool may be used or a preset script may be called to screen out all abnormal express parcels marked as "not accepted" to improve efficiency.

[0113] S503. By matching the order number, the abnormal express items classified as not to be collected are removed from the list of orders to be collected, and the list of orders to be collected is updated.

[0114] In this embodiment, the list of orders to be collected is traversed, and the order number is used as a unique identifier to match the non-collected items filtered from the abnormal list one by one. When a matching non-collected item is found, it is removed from the list of orders to be collected, and finally, the list of orders to be collected is updated. The updated list of orders to be collected should include normal express items that still need to be collected.

[0115] In this embodiment, by classifying abnormal express items and effectively eliminating items that are not to be collected, the express collection process is optimized and the processing efficiency and accuracy are improved.

[0116] See also Figure 6 A sixth embodiment of a method for collecting express items at a post station in an embodiment of the present invention includes:

[0117] S601. Determine the address of the post station to which the express items to be collected in the list of orders to be collected belong, and use a geographic information system to convert the address of the post station into geographic coordinates.

[0118] In this embodiment, the addresses of the post stations are sorted to ensure that each address is accurate and complete. The sorted addresses of the post stations are formatted according to the requirements of the GIS tool (such as the GeoSaaS GIS data converter), and the formatted address data is uploaded to the GIS tool. The GIS tool performs the address to geographic coordinate conversion process, thereby converting the address of the post station into geographic coordinates.

[0119] S602. Obtain the work schedule of the collection clerk, apply a heuristic algorithm, and generate a preliminary collection route based on the converted address coordinates and the work schedule of the collection clerk.

[0120] In this embodiment, the work schedule of the pickup salesperson is obtained, including working hours, rest periods, allocated pickup areas, etc. A heuristic algorithm (such as a conservation algorithm or an insertion algorithm) is applied to preliminarily plan one or more pickup routes based on the converted post station address coordinates and the salesperson's work schedule.

[0121] S603, obtaining traffic congestion prediction conditions, and optimizing the preliminary collection route using a simulated annealing algorithm based on the traffic congestion prediction conditions to obtain an optimized collection route.

[0122] In this embodiment, the simulated annealing algorithm introduces random factors to accept solutions worse than the current solution with a certain probability, thereby making it possible to jump out of the local optimal solution and reach the global optimal solution.

[0123] In this embodiment, real-time or predicted traffic congestion conditions are obtained, including congested road sections, congestion time, etc. The simulated annealing algorithm (or other optimization algorithms) is used to adjust and optimize the preliminary collection route in combination with the traffic congestion prediction conditions. The optimized route is evaluated to ensure that the overall efficiency and feasibility of the route are maintained while reducing the impact of traffic congestion.

[0124] For example, assume that the list of orders to be collected is as follows:

[0125] List of orders to be collected

[0126]

[0127] Use a geographic information system (such as Baidu Map API) to convert the address of the above post station into geographic coordinates.

[0128] Cainiao Station (No. 56, Zhongguancun South Street, Haidian District, Beijing): latitude XX.XXXXXX, longitude XX.XXXXXX; Tongcheng Station (3rd floor, Dayinmingzuo, No. 60, Jiaoda East Road, Haidian District, Beijing): latitude XX.XXXXXX, longitude XX.XXXXXX; Yongjia Station (No. 37, Xueyuan Road, Xueyuan Road Campus, Haidian District, Beijing): latitude XX.XXXXXX, longitude XX.XXXXXX

[0129] The work arrangement of the collection clerk is as follows:

[0130] Salesman's name: Xiao Li

[0131] Start time: 8:00 am

[0132] End of work time: 6:00 pm

[0133] Lunch break: 12:00-13:00

[0134] Apply heuristic algorithms (such as conservation algorithms or insertion algorithms) to generate preliminary collection routes. Assuming that starting from the company, the geographic coordinates of the company address are (latitude XX.XXXXXX, longitude XX.XXXXXX), then the preliminary collection route may be as follows: company->Cainiao Station->Tongcheng Station->Yongjia Station->company.

[0135] Traffic congestion forecast: From 9:00 to 10:00 in the morning, there will be congestion near Zhongguancun South Street. From 14:00 to 15:00 in the afternoon, there will be congestion near Xueyuan Road. The traffic condition on Jiaoda East Road will be good throughout the day.

[0136] The simulated annealing algorithm is used to optimize the preliminary collection route. Based on the traffic congestion prediction, the optimized collection route may be as follows: Company -> Tongcheng Station (good traffic throughout the day, priority collection) -> Cainiao Station (avoid congestion from 9:00-10:00 in the morning) -> Yongjia Station (avoid congestion from 14:00-15:00 in the afternoon, try to collect before noon or late in the afternoon) -> Company.

[0137] In this embodiment, by integrating the orders to be collected, the work arrangements of the salesmen and the traffic congestion forecasts, and using the geographic information system and intelligent algorithms, an efficient and flexible collection plan is generated, which can improve the collection efficiency and punctuality rate.

[0138] The above describes the method for collecting express items at the post station in the embodiment of the present invention. The following describes the device in the embodiment of the present invention. Figure 7 , the implementation of the express delivery collection device of the post station in the embodiment of the present invention includes:

[0139] Aggregation module 701, used to obtain the data of express items to be collected at each post station, and aggregate the data of express items to be collected into multiple data cards according to the post station name and address;

[0140] A generating module 702 is used to extract the order information of the express items to be collected from each of the data cards and generate a list of orders to be collected;

[0141] The classification module 703 is used to filter out abnormal express items from the list of orders to be collected according to the order information of the express items to be collected, analyze the abnormal reasons of the abnormal express items, and classify the abnormal express items into two categories: collectible items and non-collectible items according to the abnormal reasons;

[0142] The elimination module 704 is used to generate an abnormal list according to the classified abnormal express items, and eliminate the abnormal express items classified as not to be collected from the list of orders to be collected;

[0143] The collection module 705 is used to obtain the work schedule of the collection clerk and generate a collection route according to the list of orders to be collected and the work schedule of the collection clerk.

[0144] In this embodiment, the aggregation module 701 includes: a cleaning unit 7011, which is used to obtain the data of express items to be collected from each station and perform data cleaning on the data of express items to be collected; an aggregation unit 7012, which is used to aggregate the data of express items to be collected into multiple data sets according to the name and address of the station; a first generation unit 7013, which is used to generate a data card for each of the data sets, and the data card includes the name and address of the station and the order information of the express items to be collected.

[0145] In this embodiment, the generation module 702 includes: an extraction unit 7021, which is used to parse the information in the data card for each data card to extract the order information of the express items to be collected; a sorting unit 7022, which is used to sort the order information of the express items to be collected according to different stations; a second generation unit 7023, which is used to create a list of orders to be collected, and add the sorted order information of the express items to be collected to the list of orders to be collected.

[0146] In this embodiment, the division module 703 includes: an establishment unit 7031, which is used to establish an abnormal classification rule base; a first screening unit 7032, which is used to screen out abnormal express items from the list of orders to be collected according to the order information of the express items to be collected, and analyze the abnormal reasons of the abnormal express items; a division unit 7033, which is used to compare the abnormal reasons of the abnormal express items with the classification rules of the abnormal classification rule base to divide the abnormal express items into two categories: collectible items and non-collectible items.

[0147] In this embodiment, the elimination module 704 includes: a third generation unit 7041, which is used to generate an abnormal list based on the classified abnormal express items; a second screening unit 7042, which is used to screen out abnormal express items classified as not to be collected from the abnormal list; and an elimination unit 7043, which is used to eliminate abnormal express items classified as not to be collected from the list of orders to be collected by matching the order number, and update the list of orders to be collected.

[0148] In this embodiment, the collection module 705 includes: a conversion unit 7051, which is used to determine the address of the post station to which the express items to be collected in the list of collection orders belong, and use a geographic information system to convert the address of the post station into geographic coordinates; a collection unit 7052, which is used to obtain the work schedule of the collection clerk, apply a heuristic algorithm, and generate a preliminary collection route according to the converted address coordinates and the work schedule of the collection clerk; an optimization unit 7053, which is used to obtain traffic congestion prediction conditions, and based on the traffic congestion prediction conditions, use a simulated annealing algorithm to optimize the preliminary collection route to obtain an optimized collection route.

[0149] In this embodiment, the data of express parcels to be collected at each post station are aggregated according to the post station name and address to form multiple data cards. For each data card, the order information of the express parcels to be collected is extracted, a list of orders to be collected is generated, and abnormal express parcels are screened out from the list of orders to be collected. For abnormal express parcels, they are divided into two categories: collectible and non-collectible according to the abnormal reasons, and an abnormal list is generated. The abnormal express parcels classified as non-collectible are removed from the list of orders to be collected. Finally, a collection route is generated according to the list of orders to be collected and the work schedule of the collection clerk. The form of data cards also makes the transmission and sharing of information more convenient, and improves the management efficiency of the entire collection process. At the same time, the abnormal express parcels that are not collected are removed from the list of orders to be collected, which also avoids unnecessary collection attempts and saves time and resources. In addition, generating personalized collection routes according to the list of orders to be collected and the work schedule of the collection clerk can reduce the time and cost of the clerk on the road and improve the collection efficiency. At the same time, personalized route planning also enables the clerk to flexibly adjust the collection plan according to his actual situation, thereby improving the flexibility and adaptability of the work.

[0150] Figure 7 The structure of the express delivery collection device at the post station shown does not constitute a limitation of the express delivery collection device at the post station, and can implement the steps of the express delivery collection method at the post station provided in the above-mentioned method embodiments.

[0151] above Figure 7 The post express delivery collection device in the embodiment of the present invention is described in detail from the perspective of modular functional entities. The post express delivery collection device in the embodiment of the present invention is described in detail from the perspective of hardware processing.

[0152] Figure 8 It is a structural schematic diagram of a post express delivery collection device provided by an embodiment of the present invention. The device 800 may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) 810 (for example, one or more processors) and a memory 820, and one or more storage media 830 (for example, one or more mass storage devices) storing application programs 833 or data 832. Among them, the memory 820 and the storage medium 830 can be short-term storage or persistent storage. The program stored in the storage medium 830 may include one or more modules (not shown), and each module may include a series of instruction operations in the device 800. Furthermore, the processor 810 can be configured to communicate with the storage medium 830 to execute a series of instruction operations in the storage medium on the device 800.

[0153] The device 800 may also include one or more power supplies 840, one or more wired or wireless network interfaces 850, one or more input and output interfaces 860, and / or one or more operating systems 831, such as Windows Serve, Mac OS X, Unix, Linux, FreeBSD, etc.

[0154] An embodiment of the present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When the instructions are executed on a computer, the computer executes the steps of the express delivery collection method.

[0155] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described system, device, or unit can refer to the corresponding process in the aforementioned method embodiment and will not be repeated here.

[0156] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program codes.

[0157] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for collecting express parcels at a post station, characterized in that: The method for collecting express items at the post station includes: Obtain the data of express parcels to be collected at each post station, and aggregate the data of express parcels to be collected into multiple data cards according to the post station name and address; Extracting the order information of the express items to be collected from each of the data cards, and generating a list of orders to be collected; Screening out abnormal express items from the list of orders to be collected according to the order information of the express items to be collected, analyzing the abnormal reasons of the abnormal express items, and classifying the abnormal express items into two categories of collectible items and non-collectible items according to the abnormal reasons; Generate an abnormal list based on the classified abnormal express items, and remove abnormal express items classified as not to be collected from the list of orders to be collected; The work arrangement of the collection clerk is obtained, and a collection route is generated according to the list of orders to be collected and the work arrangement of the collection clerk.

2. The method for collecting express items at a post station according to claim 1, characterized in that: The method of obtaining the data of the express items to be collected at each post station and aggregating the data of the express items to be collected into multiple data cards according to the post station name and address includes: Obtain the data of express parcels to be collected at each post station, and clean the data of express parcels to be collected; Aggregate the data of express items to be collected into multiple data sets according to the name and address of the post station; A data card is generated for each data set, and the data card includes the name and address of the post station and the order information of the express items to be collected.

3. The method for collecting express items at a post station according to claim 1, characterized in that: The extracting order information of the express items to be collected from each data card and generating a list of orders to be collected includes: For each data card, the information in the data card is parsed to extract the order information of the express items to be collected; Sort out the order information of express parcels collected by different post stations; Create a list of orders to be collected, and add the sorted order information of the express items to be collected to the list of orders to be collected.

4. The method for collecting express items at a post station according to claim 1, characterized in that: The method of screening out abnormal express items from the list of orders to be collected according to the order information of the express items to be collected, analyzing the abnormal reasons of the abnormal express items, and classifying the abnormal express items into two categories of collectible items and non-collectible items according to the abnormal reasons, includes: Establish an exception classification rule base; Screening out abnormal express items from the list of orders to be collected according to the order information of the express items to be collected, and analyzing the abnormal reasons of the abnormal express items; The abnormal reasons of the abnormal express items are compared with the classification rules of the abnormal classification rule base to classify the abnormal express items into two categories: items that can be picked up and items that cannot be picked up.

5. The method for collecting express items at a post station according to claim 4, characterized in that: The establishing of an abnormal classification rule base comprises: Collect historical abnormal data of express parcels collected by the post station, the historical abnormal data including abnormal details and collection results; Dividing the historical abnormal data into first abnormal data and second abnormal data according to the collection result; Classifying and summarizing the first abnormal data and the second abnormal data respectively to obtain an abnormal reason list; A classification rule is formed according to the abnormal cause list, and an abnormal classification rule library is established according to the classification rule.

6. The method for collecting express items at a post station according to claim 1, characterized in that: The generating of an abnormal list according to the classified abnormal express items, and removing abnormal express items classified as not to be collected from the list of orders to be collected, includes: Generate an exception list based on the classified abnormal express items; Filter out abnormal express parcels classified as not to be collected from the abnormal list; By matching the order number, the abnormal express items classified as not to be collected are removed from the list of orders to be collected, and the list of orders to be collected is updated.

7. The method for collecting express items at a post station according to claim 1, characterized in that: The obtaining of the work arrangement of the collection clerk and generating a collection route according to the list of orders to be collected and the work arrangement of the collection clerk include: Determine the address of the post station to which the express items to be collected in the list of orders to be collected belong, and convert the address of the post station into geographic coordinates using a geographic information system; Obtaining the work schedule of the collection clerk, applying a heuristic algorithm, and generating a preliminary collection route according to the converted address coordinates and the work schedule of the collection clerk; Obtain traffic congestion prediction conditions, and based on the traffic congestion prediction conditions, use a simulated annealing algorithm to optimize the preliminary collection route to obtain an optimized collection route.

8. A device for collecting express parcels at a post station, characterized in that: include: Aggregation module, used to obtain the data of express items to be collected at each post station, and aggregate the data of express items to be collected into multiple data cards according to the post station name and address; A generation module, used to extract the order information of the express items to be collected from each of the data cards, and generate a list of orders to be collected; A classification module, used for screening out abnormal express items from the list of orders to be collected according to the order information of the express items to be collected, analyzing the abnormal reasons of the abnormal express items, and classifying the abnormal express items into two categories of collectible items and non-collectible items according to the abnormal reasons; A removal module is used to generate an abnormal list according to the classified abnormal express items, and remove the abnormal express items classified as not to be collected from the list of orders to be collected; The collection module is used to obtain the work arrangement of the collection clerk and generate a collection route according to the list of orders to be collected and the work arrangement of the collection clerk.

9. A post station express delivery collection device, characterized in that: comprising a memory and at least one processor, wherein the memory has computer-readable instructions stored therein; The at least one processor calls the computer-readable instructions in the memory to execute the various steps of the method for collecting express parcels at the post station as described in any one of claims 1-7.

10. A computer-readable storage medium having computer-readable instructions stored thereon, characterized in that: When the computer-readable instructions are executed by the processor, the various steps of the method for collecting express parcels at the post station as described in any one of claims 1-7 are implemented.

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