Logistics problem part searching and retrieving method, device and equipment and storage medium

Abstract

The application discloses a logistics problem piece searching and retrieving method, device and equipment and a storage medium, and comprises the following steps: in response to a searching request of a logistics problem piece, residual information of a target logistics problem piece is acquired, and the residual information is divided into residual waybill segment information; the residual waybill segment information is input to publish the target logistics problem piece, and a unique identifier of the target logistics problem piece is generated after successful publishing; the residual waybill segment information of the target problem piece is generated into to-be-matched data, historical data of the logistics problem piece is acquired and the historical data is generated into comparison data corresponding to the to-be-matched data, the to-be-matched data and the comparison data are matched based on a text matching algorithm, a matching result is obtained, and a corresponding suspected logistics waybill number is output; the suspected logistics waybill number is pushed to a logistics problem piece database; and the corresponding logistics problem piece is searched and retrieved in the logistics problem piece database according to the residual information of the target logistics problem piece, so that the processing efficiency of the logistics problem piece is improved.

Description

Technical Field

[0001] This invention relates to the field of logistics technology, and in particular to a method, apparatus, equipment, and storage medium for finding and retrieving problematic logistics items. Background Technology

[0002] In the logistics industry, the increasing number of orders leads to a surge in problematic or damaged packages at distribution centers daily. These packages are often covered by paper-based electronic waybills containing tracking numbers, sender information, and recipient details. Currently, logistics nodes rely on this information to move packages to the next stage. However, when these waybills are damaged, the courier company loses access to the package's information, rendering it unclaimed. The current claim rate for problematic packages is low. The existing process is: distribution center / outlet posting -> if an outlet has a lost tracking number, the tracking information is used to determine which distribution center lost the package, and the outlet manually searches the list -> outlet claims the package -> the posting party confirms the claim -> end. The problem is that after a problematic package is posted, the outlet must manually search the list one by one. Currently, by utilizing residual information from some problematic logistics shipments, and matching it with suspected lost tracking numbers based on distribution loading / unloading reports / entry information / in-store loss information, the distribution center can proactively identify the tracking numbers corresponding to problematic logistics shipments and notify the outlets to create a separate list showing the outlets the shipments they are suspected of needing to claim, allowing the outlets to decide whether or not to claim the shipments.

[0003] Therefore, it is necessary to propose a method for finding and retrieving problematic items in logistics. Summary of the Invention

[0004] The purpose of this invention is to provide a method, apparatus, equipment, and storage medium for finding and retrieving problematic logistics items, thereby improving the processing efficiency of problematic items.

[0005] This invention provides a method for locating and retrieving problematic logistics items, including:

[0006] In response to a request to locate a problematic logistics shipment, residual information of the target problematic logistics shipment is obtained, and the residual information is divided into multiple segments of residual waybill number information, wherein the residual information includes at least one segment of residual waybill number information.

[0007] Enter at least one segment of residual waybill number information to publish the target logistics problem shipment. After successful publication, a unique identifier for the target logistics problem shipment will be generated.

[0008] The residual waybill number segment information of the target problematic shipment is used to generate matching data. The historical data of the logistics problematic shipment is obtained and the historical data is used to generate comparison data corresponding to the matching data. The matching data and the comparison data are matched based on a text matching algorithm to obtain the matching result and output the corresponding suspected logistics waybill number.

[0009] The suspected logistics waybill number is pushed to the logistics problem item database. It is determined whether the residual information is entered. When the residual information is entered, the residual information is associated with the unique identifier of the logistics problem item and the suspected logistics waybill number, and the association result is output. The association result is pushed to the site collaboration node to transfer the data.

[0010] At the node where the responsible branch is located, the corresponding problematic logistics item is searched and retrieved from the problematic logistics item database based on the residual information of the problematic logistics item.

[0011] Preferably, the steps include generating matching data from the residual waybill number segment information of the target problematic shipment, obtaining historical data of the logistics problematic shipment and generating comparison data corresponding to the matching data from the historical data, and matching the matching data and comparison data based on a text-based matching algorithm to obtain the matching result and outputting the corresponding suspected logistics waybill number, including:

[0012] The data to be matched is aggregated into a first dataset, merged, and then segmented to output the first segmented data.

[0013] The comparison data is aggregated into a second dataset, which is then merged and used for word segmentation to output the second word segmentation data.

[0014] List the first and second segmented word data and perform segmentation encoding on each, calculate the word frequency of the first and second segmented word data respectively, and output the corresponding word frequency vectors;

[0015] The similarity between two corresponding vectors is calculated using the cosine function, and the similarity between the first data set and the second data set is determined. The result with the best similarity is then output.

[0016] Preferably, the steps include generating matching data from the residual waybill number segment information of the target problematic shipment, obtaining historical data of the logistics problematic shipment and generating comparison data corresponding to the matching data from the historical data, and matching the matching data and comparison data based on a text-based matching algorithm to obtain the matching result and outputting the corresponding suspected logistics waybill number, including:

[0017] A first data set is generated based on the residual waybill number segment information of the target problematic item;

[0018] Obtain an initial list of problematic logistics items, find and collect information in the initial list of problematic logistics items that corresponds to the first data set, and generate a second data set;

[0019] Confirm the data relationships between the first data set and the second data set;

[0020] The first data set and the second data set include at least sender information, recipient information, and originating point.

[0021] Preferably, in response to the locating request for the problematic logistics shipment, obtaining the residual information of the target problematic logistics shipment and dividing the residual information into multiple segments of residual waybill number information includes:

[0022] At the point where a problematic shipment is released in the logistics process, electronic waybill information is entered by scanning an RFID identification device.

[0023] When the input electronic waybill information is residual waybill information, complete the release task of the logistics problem item release node and upload it to the site collaboration node;

[0024] The unique identifier of the target logistics problem item and the residual waybill number segment information are pushed to the data platform;

[0025] The electronic waybill information includes normally entered waybill information and residual waybill information.

[0026] Preferably, in response to the locating request for the problematic logistics shipment, obtaining the residual information of the target problematic logistics shipment and dividing the residual information into multiple segments of residual waybill number information includes:

[0027] The residual waybill number includes a first preset number segment, a second preset number segment, and a third preset number segment, and at least one preset number segment must be entered;

[0028] When any preset number segment is entered completely, the preset number segment is verified and a prompt message for the next logistics problem item release operation pops up. After successful release, it is searched through the site collaboration node and the data platform node.

[0029] If any of the preset number segments entered is incomplete, it will be stored in the logistics problem item list and pushed to the initial claim point.

[0030] If the residual information is a waybill number, the waybill number includes a first preset number segment, a second preset number segment, and a third preset number segment, and at least one of the preset number segments is input.

[0031] Preferably, the step of inputting at least one segment of residual waybill number information to publish the target logistics problem shipment, and generating a unique identifier for the target logistics problem shipment after successful publication, includes:

[0032] If the residual information is a recipient's phone number or a sender's phone number, the recipient's phone number or sender's phone number is divided into a first preset number segment, a second preset number segment, and a third preset number segment, and the residual information is input according to the preset number segments; and / or,

[0033] If the residual information is a recipient area code or a sender area code, the recipient area code or sender area code is divided into a first preset number segment, a second preset number segment, and a third preset number segment, and the residual information is input according to the preset number segments; and / or,

[0034] If the residual information is the originating network code, the recipient's phone number is divided into a first preset number segment, a second preset number segment, and a third preset number segment, and the residual information is input according to the preset number segment.

[0035] Preferably, the steps include generating matching data from the residual waybill number segment information of the target problematic shipment, obtaining historical data of the logistics problematic shipment and generating comparison data corresponding to the matching data from the historical data, and matching the matching data and comparison data based on a text-based matching algorithm to obtain the matching result and outputting the corresponding suspected logistics waybill number, including:

[0036] The data to be matched and the comparison data are vectorized, and the similarity between the data to be matched and the comparison data is determined based on the cosine value of the vectors. The calculation process is as follows:

[0037]

[0038] Wherein, the word vector of the data to be matched A is represented as [A1, A2, A3, ..., An], and the word vector of the comparison data B is represented as [B1, B2, B3, ..., Bn], where Ai and Bi represent the components of vector A and vector B, respectively.

[0039] This invention provides a device for locating and retrieving problematic logistics items, comprising:

[0040] The problematic shipment search module is used to respond to a search request for a problematic shipment in logistics, obtain the residual information of the target problematic shipment, and divide the residual information into multiple segments of residual waybill number information, wherein the residual information includes at least one segment of residual waybill number information.

[0041] The problematic shipment publishing module is used to publish the target logistics problematic shipment by inputting at least one segment of residual waybill number information, and generates a unique identifier for the target logistics problematic shipment after successful publication;

[0042] The matching module is used to generate matching data from the residual waybill number segment information of the target problematic shipment, obtain historical data of the logistics problematic shipment and generate comparison data corresponding to the matching data, and perform matching on the matching data and comparison data based on text matching algorithm to obtain matching results and output the corresponding suspected logistics waybill number.

[0043] The node processing module is used to push the suspected logistics waybill number to the logistics problem item database, determine whether to enter the residual information, and when the residual information is entered, associate the residual information with the logistics problem item unique identifier and the suspected logistics waybill number and output the association result, and push the association result to the site collaborative node to transfer data.

[0044] The result output module is used to search and retrieve the corresponding logistics problem piece in the logistics problem piece database based on the residual information of the target logistics problem piece at the node where the responsible network point corresponding to the target logistics problem piece is located.

[0045] The present invention provides a logistics problem item retrieval and searching device, which includes a memory and a processor. The memory stores computer-readable instructions, and when the processor executes the computer-readable instructions, it implements the logistics problem item retrieval and searching method as described in the embodiments of the present invention.

[0046] The present invention provides a computer-readable medium for storing a computer program, which, when executed by one or more processors, implements the logistics problem item finding and retrieval method as described in the embodiments of the present invention.

[0047] Compared with the prior art, the present invention has the following beneficial effects:

[0048] This invention provides a method for locating and retrieving problematic logistics shipments, including obtaining residual information of problematic logistics shipments in the system, the residual information including at least a segment of residual waybill numbers; matching the residual waybill number segment of the problematic logistics shipment with a corresponding suspected waybill number; pushing the matching result of the suspected waybill number to a problematic logistics shipment database; and at the responsible network node, searching for the corresponding problematic logistics shipment in the database based on the residual information of the problematic logistics shipment, etc. This method can standardize the handling process of problematic logistics shipments, improve the claim rate of problematic logistics shipments, and improve the handling efficiency of problematic logistics shipments.

[0049] This invention employs a text similarity calculation method to improve the matching efficiency of problematic logistics items; it uses a cosine similarity algorithm to transform text into a spatial vector model, and completes the transformation of the spatial vector model through weighting, thereby improving the response efficiency of server search and retrieval. Attached Figure Description

[0050] Figure 1 This is a schematic diagram illustrating the steps of the logistics problem item finding and retrieval method described in Embodiment 1 of the present invention;

[0051] Figure 2 This is a flowchart illustrating the overall implementation of the logistics problem item finding and retrieval method described in Embodiment 1 of the present invention.

[0052] Figure 3 This is a schematic diagram of the logistics problem item finding and retrieval device described in Embodiment 2 of the present invention. Detailed Implementation

[0053] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0054] Example 1

[0055] like Figure 1 As shown, the present invention provides a method for finding and retrieving problematic logistics items, comprising:

[0056] Step S1: In response to the search request for the problematic logistics item, obtain the residual information of the target problematic logistics item, and divide the residual information into multiple residual waybill number segments, wherein the residual information includes at least one residual waybill number segment.

[0057] Step S2: Input at least one segment of residual waybill number information to publish the target logistics problem shipment. After successful publication, generate a unique identifier for the target logistics problem shipment.

[0058] Step S3: Generate matching data from the residual waybill number segment information of the target problematic shipment, obtain historical data of the logistics problematic shipment and generate comparison data corresponding to the matching data from the historical data, match the matching data and the comparison data based on the text matching algorithm, obtain the matching result and output the corresponding suspected logistics waybill number;

[0059] Step S4: Push the suspected logistics waybill number to the logistics problem item database, determine whether to enter the residual information, and when entering the residual information, associate the residual information with the unique identifier of the logistics problem item and the suspected logistics waybill number and output the association result, and push the association result to the site collaboration node to transfer data.

[0060] Step S5: At the node where the responsible branch corresponding to the target logistics problem item is located, the corresponding logistics problem item is searched and retrieved from the logistics problem item database based on the residual information of the target logistics problem item.

[0061] This invention provides a method for locating and retrieving problematic logistics shipments, including obtaining residual information of problematic logistics shipments in the system, the residual information including at least a segment of residual waybill numbers; matching the residual waybill number segment of the problematic logistics shipment with a corresponding suspected waybill number; pushing the matching result of the suspected waybill number to a problematic logistics shipment database; and at the responsible network node, searching for the corresponding problematic logistics shipment in the database based on the residual information of the problematic logistics shipment, etc. This method can standardize the handling process of problematic logistics shipments, improve the claim rate of problematic logistics shipments, and improve the handling efficiency of problematic logistics shipments.

[0062] In step S1, in response to the search request for the problematic logistics shipment, residual information of the target problematic logistics shipment is obtained, and the residual information is divided into multiple segments of residual waybill number information, including:

[0063] At the point where a problematic shipment is released in the logistics process, electronic waybill information is entered by scanning an RFID identification device.

[0064] When the input electronic waybill information is residual waybill information, complete the release task of the logistics problem item release node and upload it to the site collaboration node;

[0065] The unique identifier of the target logistics problem item and the residual waybill number segment information are pushed to the data platform; the unique identifier of the target logistics problem item can be the logistics problem item ID.

[0066] The electronic waybill information includes normally entered waybill information and residual waybill information.

[0067] Those skilled in the art will understand that obtaining residual information of problematic shipments in the system, including at least a segment of residual waybill number information, involves the following steps:

[0068] like Figure 2As shown, first, publish a logistics problem item. If you can enter information normally or if there is residual waybill information, you need to click to expand the residual information entry. After the logistics problem item is successfully published, the site collaboration will push the logistics problem item ID and residual information to the data platform. The data platform will then push the matching results back to the site collaboration entry: Site Collaboration - Problem Item - Publish Problem Item - Select Problem Item Type "Logistics Problem Item".

[0069] In one embodiment, to improve the effectiveness of residual information in searching and retrieving, in step S1, in response to the search request for the problematic logistics shipment, the residual information of the target problematic logistics shipment is obtained, and the residual information is divided into multiple segments of residual waybill number information, including:

[0070] The residual waybill number includes a first preset number segment, a second preset number segment, and a third preset number segment, and at least one preset number segment must be entered;

[0071] When any preset number segment is entered completely, the preset number segment is verified and a prompt message for the next logistics problem item release operation pops up. After successful release, it is searched through the site collaboration node and the data platform node.

[0072] If any of the preset number segments entered is incomplete, it will be stored in the logistics problem item list and pushed to the initial claim point.

[0073] If the residual information is a waybill number, the waybill number includes a first preset number segment, a second preset number segment, and a third preset number segment, and at least one of the preset number segments is input.

[0074] In one embodiment, step S2 involves inputting at least one segment of residual waybill number information to publish the target logistics problem shipment. Upon successful publication, a unique identifier for the target logistics problem shipment is generated, including:

[0075] If the residual information is a recipient's phone number or a sender's phone number, the recipient's phone number or sender's phone number is divided into a first preset number segment, a second preset number segment, and a third preset number segment, and the residual information is input according to the preset number segments; and / or,

[0076] If the residual information is a recipient area code or a sender area code, the recipient area code or sender area code is divided into a first preset number segment, a second preset number segment, and a third preset number segment, and the residual information is input according to the preset number segments; and / or,

[0077] If the residual information is the originating network code, the recipient's phone number is divided into a first preset number segment, a second preset number segment, and a third preset number segment, and the residual information is input according to the preset number segment.

[0078] Those skilled in the art will understand that the process of publishing a logistics problem item on the server page involves: clicking "Expand to enter residual information" to expand the residual order entry module and entering the residual information. The residual order number is a required field, and at least one segment of the residual order number must be entered completely. Clicking "Publish" will validate the required fields, and if any field is not filled in, a corresponding prompt will appear. The prompt message states: "When selecting to enter residual information, at least one segment of the residual order number must be entered completely; otherwise, the upload will fail!" Residual Information Entry Fields: Residual Tracking Number: Input box, 1 field required, at least one field must be filled in completely, first 4 digits / last 4 digits / middle part 5 or 7 digits. If only one field is selected, it must be filled in completely, otherwise a message will be displayed indicating that the required field cannot be empty and the upload cannot be completed; Recipient's Phone Number: Input box, 3 fields required, first three digits / middle four digits / last four digits, recipient's province, select from drop-down list; Sender's Phone Number: Input box, 3 fields required, first three digits / middle four digits / last four digits, sender's province, select from drop-down list, optional; Three-Segment Code: Input box, first and third segments, optional; Originating Location: Input box, 6 digits, optional. After successful publication, the backend will generate a logistics problem item ID number.

[0079] In one embodiment, step S3, which involves generating matching data from the residual waybill number segment information of the target problematic shipment, obtaining historical data of the problematic logistics shipment and generating comparison data corresponding to the matching data, and using a text-based matching algorithm to match the matching data and the comparison data to obtain a matching result and output the corresponding suspected logistics waybill number, includes:

[0080] A first data set is generated based on the residual waybill number segment information of the target problematic item;

[0081] Obtain an initial list of problematic logistics items, find and collect information in the initial list of problematic logistics items that corresponds to the first data set, and generate a second data set;

[0082] Confirm the data relationships between the first data set and the second data set;

[0083] The first data set and the second data set include at least sender information, recipient information, and originating point.

[0084] In one embodiment, step S3 generates matching data from the residual waybill number segment information of the target problematic shipment, obtains historical data of the problematic logistics shipment and generates comparison data corresponding to the matching data, and uses a text-based matching algorithm to match the matching data and the comparison data to obtain the matching result and output the corresponding suspected logistics waybill number, including:

[0085] The data to be matched is aggregated into a first dataset, merged, and then segmented to output the first segmented data.

[0086] aggregating said comparison data into a second data set, performing a word segmentation operation on the second data set, and outputting second word segmentation data;

[0087] listing said first word segmentation data and second word segmentation data, performing word segmentation encoding on the first word segmentation data and the second word segmentation data respectively, calculating word frequencies of the first word segmentation data and the second word segmentation data respectively, and outputting corresponding word frequency vectors;

[0088] calculating the similarity between the two corresponding vectors according to a cosine function, determining the similarity between said first data set and said second data set, and outputting a result with optimal similarity.

[0089] In an embodiment, in step S3, generating to-be-matched data from residual waybill segment information of the target problematic shipment, acquiring historical data of the logistics problematic shipment, generating comparison data corresponding to the to-be-matched data from the historical data, matching the to-be-matched data and the comparison data based on a text matching algorithm, obtaining a matching result and outputting a suspected logistics waybill number comprises:

[0090] vectorizing said to-be-matched data and comparison data, and determining the similarity between said to-be-matched data and comparison data according to vector cosine values, wherein the calculation process is as follows:

[0091]

[0092] wherein, the word vector of to-be-matched data A is represented as [A1, A2, A3, …,An], the word vector of comparison data B is represented as [B1, B2, B3, …,Bn], and Ai and Bi respectively represent each component of vector A and vector B. For the cosine similarity algorithm: the cosine value of the included angle between two vectors in a vector space is used as a measure of the difference between two individuals. When the cosine value is close to 1 and the included angle tends to 0, it indicates that the two vectors are more similar; when the cosine value is close to 0 and the included angle tends to 90 degrees, it indicates that the two vectors are less similar.

[0093] the similarity calculation method adopted in this embodiment further comprises a cosine algorithm based on a space vector, wherein cosine calculation is performed after preprocessing, text feature item selection, weighting and vector space model generation. Preprocessing mainly includes Chinese word segmentation and stop word removal, and open source code for word segmentation includes: ICTCLAS. Then, words, symbols, punctuations, garbled characters and the like that are of little significance for text content recognition but have high occurrence frequency in the corpus are removed according to words in a stop word list. For example, words such as "this, of, and, would, for" appear in almost any text data, but they contribute almost nothing to the meaning expressed by the text. The process of removing stop words by using a stop word list is simple, that is, a query process: for each word entry, check whether it is in the stop word list, and if yes, delete it from the word entry string.

[0094] Text Feature Selection and Weighting: After filtering out frequently used adverbs, auxiliary words, and other high-frequency words, several keywords are determined based on the frequency of the remaining words. Frequency calculation follows the TF formula. Weighting is a mechanism set up to address the different effects of each keyword on the text features; weight calculation follows the IDF formula. Term frequency refers to the frequency of a keyword's appearance in text data. For example, if there are N occurrences of a keyword in M ​​words of logistics data, then TF = N / M, which is the term frequency of that keyword in the logistics data. Inverse document frequency is an index used to measure keyword weight, calculated by the formula IDF = log(D / Dw), where D is the total number of texts related to logistics problem shipments, and Dw is the number of texts in which the keyword appears.

[0095] Vector Space Model (VSM) and Cosine Calculation: The basic idea of ​​the Vector Space Model is to simplify a document into an N-dimensional vector representation with the weights of feature terms (keywords). This model assumes that words are unrelated, which prevents it from making semantic correlation judgments. The drawback of the Vector Space Model lies in the assumption of linear independence between keywords. By representing text with vectors, the complex relationships between keywords in the text are simplified, and the document is represented by very simple vectors, making the model computationally achievable. In the Vector Space Model, text refers to all kinds of machine-readable records. Let D (Document) represent text, and a feature term (denoted by t) refers to the basic linguistic unit present in document D that can represent the content of the document, mainly composed of words or phrases. Text can be represented by a set of feature terms as D(T1, T2, ..., Tn), where Tk is a feature term, requiring 1 <= k <= N.

[0096] The following is an explanation of the vector space model (specifically, the weighted vector space).

[0097] Suppose the residual waybill for the target problematic shipment has four feature items: a, b, c, and d. Then, the residual waybill for the target problematic shipment can be represented as D(a, b, c, d). For example, sender address, recipient address, recipient, and sender. Other texts to be compared will also follow this feature item order. For a text containing n feature items, each feature item is usually assigned a certain weight to represent its importance, i.e., D = D(T1, W1; T2, W2; ..., Tn, Wn), or simply D = D(W1, W2, ..., Wn), which is the weight vector representation of text D, where Wk is the weight of Tk, and 1 <= k <= N.

[0098] In the example above, assuming the weights of a, b, c, and d are 30, 20, 20, and 10 respectively, then the vector representation of the text is D(30, 20, 20, 10).

[0099] In the vector space model, the content relevance Sim(D1, D2) between two text data D1 and D2 is often represented by the cosine of the angle between the vectors, as shown in the formula above. Here, W1k and W2k represent the weights of the Kth feature terms of texts D1 and D2, respectively, and 1 <= k <= N. This embodiment uses the above method to calculate the relevance between the data to be matched and the comparison data, improving the efficiency of finding and retrieving problematic items in logistics.

[0100] Below is another example of using a model to calculate cosine.

[0101] In automatic classification, we can use similar methods to calculate the relevance between the logistics data to be classified and a certain category.

[0102] Suppose that the features of text D1 are a, b, c, d, with weights of 30, 20, 20, 10 respectively, and the features of category C1 are a, c, d, e, with weights of 40, 30, 20, 10 respectively. Then the vector representation of D1 is D1(30, 20, 20, 10, 0), and the vector representation of C1 is C1(40, 0, 30, 20, 10). According to the above formula, the relevance between text D1 and category C1 is 0.86.

[0103] In step S4, the suspected logistics waybill number is pushed to the logistics problem item database. It is determined whether the residual information should be entered. When the residual information is entered, the residual information is associated with the unique identifier of the logistics problem item and the suspected logistics waybill number, and the association result is output. The association result is then pushed to the site collaboration node for data transfer.

[0104] Those skilled in the art will understand that the matching results of suspected logistics waybill numbers are pushed to the logistics problem item database. When the matching results of suspected logistics waybill numbers are pushed to the logistics problem item database, the system first determines whether residual information has been entered. If so, it is entered into the table, and the middle platform retrieves the data from the operation and maintenance department the next day. The data middle platform matches the suspected waybill number with the logistics problem item ID based on the residual information. The result of associating the logistics problem item ID with the suspected waybill number is pushed to the system and the data is transferred.

[0105] In step S5, the process of searching and retrieving the corresponding problematic logistics item from the problematic logistics item database based on the residual information of the problematic logistics item at the responsible network point node specifically includes: searching for the corresponding problematic logistics item in the database based on the residual information of the problematic logistics item at the responsible network point task node.

[0106] The database displays all problematic shipments with residual information. Sending points can search by picking up points, selecting to view only the tracking numbers for which they are the picking point. All search criteria correspond to residual information entered when posting problematic shipments, not suspected tracking number association information. However, the list information is displayed according to suspected tracking numbers; basic information and sender / recipient addresses are associated with suspected tracking numbers, not residual information. Each record is associated with a problematic shipment ID and displays the shipment's claim status. There may be cases where one problematic shipment ID corresponds to multiple tracking numbers, or one tracking number corresponds to multiple problematic shipment IDs. Only anonymized sender / recipient information is displayed for tracking numbers. Search criteria include: Posting Time: The time the problematic shipment was reported; a time period; the maximum search interval is limited to 2 days. 1. Posting Site: The site code of the site that reported the problematic shipment; enter a 6-digit number (could be a distribution center or a branch); 2. Status: The claim status of the problematic shipment; default is all. 1. All, Unclaimed, Claiming, Claimed, Cancelled: These are the statuses after the publisher cancels the registration. 2. Waybill Number: The suspected waybill numbers displayed in the list are the results matched based on the reported residual information. 3. Publishing Station: The station that reported the logistics problem shipment. A three-level linked drop-down list. When querying logistics problem shipments, if you don't know the specific publishing station's branch code, you can use this linked query: Province-Distribution Center-Station. After selecting in sequence, the branch code will be automatically filled into the publishing station input box, and then you can operate the query. It does not support querying only a province or an entire distribution center. 4. Publishing Station Association: 5. Packaging: Drop-down list, input item when reporting logistics problem shipments. 6. Shape: Drop-down list, input item when reporting logistics problem shipments. 7. Package Type: Drop-down list, input item when reporting logistics problem shipments. 8. Package Type: Drop-down list, input item when reporting logistics problem shipments. 9. Color: Drop-down list, input item when reporting logistics problem shipments. 10. Material: Drop-down list, input item when reporting logistics problem shipments. 11. Package Weight: Input box, maximum 6 characters. The following fields must be filled in: 11. **Publisher:** The employee ID of the person who published the problematic shipment. 12. **ID:** The shipment ID generated by the backend after successful publication. **Problem Description:** Input box; must support fuzzy search. The description of the problematic shipment entered when publishing it. 13. **Residual Tracking Number:** Input box; enter in three segments: first four digits - middle 5 / 7 digits - last four digits. Only one segment can be entered. Residual information entered when publishing the problematic shipment. 14. **Three-Segment Code:** Input box; enter in three segments. Only one segment can be entered. Residual information entered when publishing the problematic shipment. 15. **Sender's Phone Number:** Input box; enter in two segments: first three digits - last four digits. Only one segment can be entered. Residual information entered when publishing the problematic shipment. 16. **Recipient's Phone Number:** Input box; enter in two segments: first three digits - last four digits. Only one segment can be entered. Residual information entered when publishing the problematic shipment.17. Sender's Address: Select from dropdown menu, sender's province. Residual information entered when posting a problem shipment. 18. Recipient's Address: Select from dropdown menu, recipient's province. Residual information entered when posting a problem shipment.

[0107] Example 2

[0108] like Figure 3 As shown, based on the same concept, the present invention provides a logistics problem item finding and retrieval device, comprising:

[0109] The problematic shipment search module is used to respond to the search request for the problematic shipment in logistics, obtain the residual information of the target problematic shipment, divide the residual information into multiple segments of residual waybill number information, and the residual information includes at least one segment of residual waybill number information.

[0110] The problematic shipment publishing module is used to publish the target logistics problematic shipment by inputting at least one segment of residual waybill number information, and generates a unique identifier for the target logistics problematic shipment after successful publication;

[0111] The matching module is used to generate matching data from the residual waybill number segment information of the target problematic shipment, obtain historical data of the logistics problematic shipment and generate comparison data corresponding to the matching data, and perform matching on the matching data and comparison data based on text matching algorithm to obtain matching results and output the corresponding suspected logistics waybill number.

[0112] The node processing module is used to push the suspected logistics waybill number to the logistics problem item database, determine whether to enter the residual information, and when the residual information is entered, associate the residual information with the logistics problem item unique identifier and the suspected logistics waybill number and output the association result, and push the association result to the site collaborative node to transfer data.

[0113] The result output module is used to search and retrieve the corresponding logistics problem piece in the logistics problem piece database based on the residual information of the target logistics problem piece at the node where the responsible network point corresponding to the target logistics problem piece is located.

[0114] This invention provides a logistics problem shipment retrieval and search device, comprising: acquiring residual information of logistics problem shipments in the system, the residual information including at least a residual waybill number segment; matching the residual waybill number segment of the logistics problem shipment with a corresponding suspected logistics waybill number; pushing the matching result of the suspected logistics waybill number to a logistics problem shipment database; and, at the responsible network node, searching for the corresponding logistics problem shipment in the database based on the residual information of the logistics problem shipment, etc.; it can standardize the handling process of logistics problem shipments, improve the claim rate of logistics problem shipments, and improve the handling efficiency of logistics problem shipments.

[0115] The specific principles and implementation methods of the above-mentioned problem item search module, problem item publishing module, matching module, node processing module and result output module are as described in Example 1, and will not be repeated here.

[0116] Example 3

[0117] Based on the same concept, the present invention also provides a logistics problem item finding and retrieval device, including a memory and a processor. The memory stores computer-readable instructions, and when the processor executes the computer-readable instructions, it implements the logistics problem item finding and retrieval method as described in Embodiment 1 of the present invention.

[0118] The equipment for locating and retrieving problematic logistics items can vary significantly due to differences in configuration and performance. It may include one or more central processing units (CPUs) and memory, and one or more storage media (such as one or more mass storage devices) for storing applications or data. The memory and storage media can be temporary or persistent storage. The program stored on the storage media may include one or more modules, each of which may include a series of instruction operations on the problematic logistics item locating and retrieval equipment.

[0119] Furthermore, the processor can be configured to communicate with the storage medium and execute a series of instructions stored in the storage medium on the device for locating and retrieving problematic items in the logistics process.

[0120] The logistics problem item locator and retrieval device may also include one or more power supplies, one or more wired or wireless network interfaces, one or more input / output interfaces, and / or one or more operating systems, such as Windows Server, Vista, etc.

[0121] This invention also provides a computer-readable storage medium storing a computer program. When executed by one or more processors, the computer program implements the logistics problem item search and retrieval method as described in Embodiment 1. If the modules in Embodiment 2 are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in software form. The computer-readable storage medium can be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. The computer-readable storage medium stores instructions that, when executed on a computer, cause the computer to perform the logistics problem item search and retrieval steps in Embodiment 1.

[0122] Those skilled in the art will understand that the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in software. This computer software is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the device described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0123] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for locating and retrieving problematic logistics items, characterized in that, include: In response to a request to locate a problematic logistics shipment, the system obtains the residual information of the target problematic logistics shipment and divides the residual information into multiple segments of residual waybill numbers, including: the residual waybill number includes a first preset number segment, a second preset number segment, and a third preset number segment, with at least one preset number segment input; when any one preset number segment is complete, the preset number segment is validated and a prompt message for the next step of publishing the problematic logistics shipment pops up, and after successful publication, it is searched through the site collaboration node and the data platform node; when any one preset number segment is incomplete, it is stored in the problematic logistics shipment list and pushed to the initial claiming point; if the residual information is a waybill number, the waybill number includes the first preset number segment, the second preset number segment, and the third preset number segment, with at least one preset number segment input; the residual information includes at least one segment of residual waybill number information. Enter at least one segment of residual waybill number information to publish the target logistics problem shipment. After successful publication, a unique identifier for the target logistics problem shipment will be generated. The residual waybill number segment information of the target problematic shipment is used to generate matching data. The historical data of the logistics problematic shipment is obtained and the historical data is used to generate comparison data corresponding to the matching data. The matching data and the comparison data are matched based on a text matching algorithm to obtain the matching result and output the corresponding suspected logistics waybill number. The suspected logistics waybill number is pushed to the logistics problem item database. It is determined whether the residual information is entered. When the residual information is entered, the residual information is associated with the unique identifier of the logistics problem item and the suspected logistics waybill number, and the association result is output. The association result is pushed to the site collaboration node to transfer the data. At the node where the responsible branch is located, the corresponding problematic logistics item is searched and retrieved from the problematic logistics item database based on the residual information of the problematic logistics item.

2. The logistics problem item finding and retrieval method as described in claim 1, characterized in that, The process involves generating matching data from the residual waybill number segment information of the target problematic shipment, obtaining historical data of the problematic logistics shipment and generating comparison data corresponding to the matching data, and using a text-based matching algorithm to match the matching data and the comparison data to obtain the matching result and output the corresponding suspected logistics waybill number, including: The data to be matched is aggregated into a first dataset, merged, and then segmented to output the first segmented data. The comparison data is aggregated into a second dataset, which is then merged and used for word segmentation to output the second word segmentation data. List the first and second segmented word data and perform segmentation encoding on each, calculate the word frequency of the first and second segmented word data respectively, and output the corresponding word frequency vectors; The similarity between two corresponding vectors is calculated using the cosine function, and the similarity between the first data set and the second data set is determined. The result with the best similarity is then output.

3. The logistics problem item finding and retrieval method as described in claim 1, characterized in that, The process involves generating matching data from the residual waybill number segment information of the target problematic shipment, obtaining historical data of the problematic logistics shipment and generating comparison data corresponding to the matching data, and using a text-based matching algorithm to match the matching data and the comparison data to obtain the matching result and output the corresponding suspected logistics waybill number, including: A first data set is generated based on the residual waybill number segment information of the target problematic item; Obtain an initial list of problematic logistics items, find and collect information in the initial list of problematic logistics items that corresponds to the first data set, and generate a second data set; Confirm the data relationships between the first data set and the second data set; The first data set and the second data set include at least sender information, recipient information, and originating point.

4. The logistics problem item finding and retrieval method as described in claim 1, characterized in that, In response to the search request for the problematic logistics shipment, the remaining information of the target problematic logistics shipment is obtained, and the remaining information is divided into multiple segments of remaining waybill number information, including: At the point where a problematic shipment is released in the logistics process, electronic waybill information is entered by scanning an RFID identification device. When the input electronic waybill information is residual waybill information, complete the release task of the logistics problem item release node and upload it to the site collaboration node; The unique identifier of the target logistics problem item and the residual waybill number segment information are pushed to the data platform; The electronic waybill information includes normally entered waybill information and residual waybill information.

5. The logistics problem item finding and retrieval method as described in claim 1, characterized in that, The step of inputting at least one segment of residual waybill number information to publish the target logistics problem shipment, and generating a unique identifier for the target logistics problem shipment after successful publication, includes: If the residual information is a recipient's phone number or a sender's phone number, the recipient's phone number or sender's phone number is divided into a first preset number segment, a second preset number segment, and a third preset number segment, and the residual information is input according to the preset number segments; and / or, If the residual information is a recipient area code or a sender area code, the recipient area code or sender area code is divided into a first preset number segment, a second preset number segment, and a third preset number segment, and the residual information is input according to the preset number segments; and / or, If the residual information is the originating network code, the recipient's phone number is divided into a first preset number segment, a second preset number segment, and a third preset number segment, and the residual information is input according to the preset number segment.

6. The logistics problem item finding and retrieval method as described in claim 1, characterized in that, The process involves generating matching data from the residual waybill number segment information of the target problematic shipment, obtaining historical data of the problematic logistics shipment and generating comparison data corresponding to the matching data, and using a text-based matching algorithm to match the matching data and the comparison data to obtain the matching result and output the corresponding suspected logistics waybill number, including: The data to be matched and the comparison data are vectorized, and the similarity between the data to be matched and the comparison data is determined based on the cosine value of the vectors. The calculation process is as follows: ， Wherein, the word vector of the data to be matched A is represented as [A1, A2, A3, ..., An], and the word vector of the comparison data B is represented as [B1, B2, B3, ..., Bn], where Ai and Bi represent the components of vector A and vector B, respectively.

7. A device for locating and retrieving problematic items in logistics, characterized in that, include: The problematic shipment search module is used to respond to a search request for a problematic logistics shipment, obtain the residual information of the target problematic logistics shipment, and divide the residual information into multiple segments of residual waybill number information, including: the residual waybill number includes a first preset number segment, a second preset number segment, and a third preset number segment, with at least one preset number segment input; when any one preset number segment is complete, the preset number segment is verified and a prompt message for the next logistics problematic shipment release operation pops up, and after successful release, it is searched through the site collaboration node and data platform node; when any one preset number segment is incomplete, it is stored in the logistics problematic shipment list and pushed to the initial claiming point; if the residual information is a waybill number, the waybill number includes the first preset number segment, the second preset number segment, and the third preset number segment, with at least one preset number segment input; the residual information includes at least one segment of residual waybill number information; The problematic shipment publishing module is used to publish the target logistics problematic shipment by inputting at least one segment of residual waybill number information, and generates a unique identifier for the target logistics problematic shipment after successful publication; The matching module is used to generate matching data from the residual waybill number segment information of the target problematic shipment, obtain historical data of the logistics problematic shipment and generate comparison data corresponding to the matching data, and perform matching on the matching data and comparison data based on text matching algorithm to obtain matching results and output the corresponding suspected logistics waybill number. The node processing module is used to push the suspected logistics waybill number to the logistics problem item database, determine whether to enter the residual information, and when the residual information is entered, associate the residual information with the logistics problem item unique identifier and the suspected logistics waybill number and output the association result, and push the association result to the site collaborative node to transfer data. The result output module is used to search and retrieve the corresponding logistics problem piece in the logistics problem piece database based on the residual information of the target logistics problem piece at the node where the responsible network point corresponding to the target logistics problem piece is located.

8. A device for locating and retrieving problematic items in logistics, characterized in that, The device includes a memory and a processor, wherein the memory stores computer-readable instructions, and the processor executes the computer-readable instructions to implement the logistics problem item search and retrieval method as described in any one of claims 1 to 6.

9. A computer-readable medium storing a computer program, characterized in that, When the computer program is executed by one or more processors, it implements the logistics problem item finding and retrieval method as described in any one of claims 1 to 6.

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