Waybill operation detection method, device, computer equipment and storage medium

Abstract

The present application relates to a method, device, computer equipment and storage medium for detecting waybill operations. The method comprises: obtaining logistics data of a logistics waybill; the logistics data comprises at least one of operation data of the waybill operation, site longitude and latitude data, historical abnormal operation data and standard process operation data; based on operation abnormality detection strategy data, detecting the waybill operation according to the logistics data, and determining the abnormal operation. The method can improve the accuracy of waybill operation detection.

Description

Technical Field

[0001] The present application relates to the field of logistics technology, and in particular to a detection method, device, computer equipment and storage medium for waybill operation. Background Art

[0002] In the field of logistics, a logistics waybill needs to pass through different logistics nodes during the logistics flow path from generation to delivery to the destination. For example, a logistics waybill may be operated 30 times, including collection, transfer, transportation, and delivery. Different operation data (such as different types of operation codes) and different operation objects (such as receivers, warehouse managers, transfer operators, delivery personnel, etc.) are involved in each operation link. By uploading the logistics data of different logistics nodes of the logistics order to the server, the logistics data of the waybill at each logistics node can be obtained, and the operation of the logistics waybill can be detected based on the logistics data.

[0003] However, the current logistics waybill operation detection cannot identify that the separation of people and objects will cause abnormal data, resulting in low accuracy of waybill operation detection. Summary of the invention

[0004] Based on this, it is necessary to provide a waybill operation detection method, device, computer equipment and storage medium that can improve the accuracy of waybill operation detection in response to the above technical problems.

[0005] A method for detecting waybill operation, the method comprising:

[0006] Obtaining logistics data of the logistics waybill; the logistics data includes at least one of operation data of the waybill operation, site longitude and latitude data, historical abnormal operation data and standard process operation data;

[0007] Based on the operation anomaly detection strategy data, the waybill operation is detected according to the logistics data to determine the abnormal operation.

[0008] In one embodiment, the detecting the waybill operation based on the operation abnormality detection strategy data according to the logistics data to determine the abnormal operation includes:

[0009] According to the operation time in the operation data, the waybill operations are sorted in chronological order, and the latitude and longitude data and operation time of the current waybill operation and the previous waybill operation are obtained;

[0010] Determine the corresponding navigation duration according to the latitude and longitude data of the current waybill operation and the previous waybill operation;

[0011] Determine a corresponding first duration according to the operation time of the current waybill operation and the previous waybill operation;

[0012] When the first duration is less than the navigation duration, it is determined that the current waybill operation is an abnormal operation.

[0013] In one embodiment, the detecting the waybill operation based on the operation abnormality detection strategy data according to the logistics data to determine the abnormal operation includes:

[0014] Determine an abnormal operation ratio value and historical abnormal operations according to the historical abnormal operation data;

[0015] Acquire a first distance between the latitude and longitude data of the operation code of the historical abnormal operation and the corresponding latitude and longitude data of the site;

[0016] Determine the quantile of the first distance according to the abnormal operation ratio value to obtain a second distance;

[0017] Determine the third distance according to the latitude and longitude data of the operation code of the current waybill operation and the corresponding longitude and longitude data of the site;

[0018] When the third distance is greater than the second distance, it is determined that the current waybill operation is an abnormal operation.

[0019] In one embodiment, the detecting the waybill operation based on the operation abnormality detection strategy data according to the logistics data to determine the abnormal operation includes:

[0020] According to the operation time in the operation data of the current waybill operation, the operation data of all waybill operations before the operation time of the current waybill operation are obtained;

[0021] Determining priorities among operation codes in the operation data;

[0022] When there is no priority matching the priority in the standard process operation data, it is determined that the current waybill operation is an abnormal operation.

[0023] In one embodiment, the method further comprises:

[0024] Obtaining an operation object corresponding to the abnormal operation;

[0025] The acquired number of historical abnormal operations of the operation object is updated to obtain an updated number of abnormal operations;

[0026] The detection result of the operation object is determined according to the update operation number and the abnormal operation number threshold.

[0027] In one embodiment, the method further comprises:

[0028] When the detection result of the operation object is an abnormal operation object, a waybill operation invalidation instruction is generated; the waybill operation invalidation instruction is used to prevent the next waybill operation of the current waybill operation from being triggered.

[0029] A device for detecting waybill operation, the device comprising:

[0030] An acquisition module, used to acquire logistics data of a logistics waybill; the logistics data includes at least one of operation data of the waybill operation, site longitude and latitude data, historical abnormal operation data, and standard process operation data;

[0031] The detection module is used to detect the waybill operation based on the operation abnormality detection strategy data and the logistics data to determine the abnormal operation.

[0032] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0033] Obtaining logistics data of the logistics waybill; the logistics data includes at least one of operation data of the waybill operation, site longitude and latitude data, historical abnormal operation data and standard process operation data;

[0034] Based on the operation anomaly detection strategy data, the waybill operation is detected according to the logistics data to determine the abnormal operation.

[0035] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the following steps:

[0036] Obtaining logistics data of the logistics waybill; the logistics data includes at least one of operation data of the waybill operation, site longitude and latitude data, historical abnormal operation data and standard process operation data;

[0037] Based on the operation anomaly detection strategy data, the waybill operation is detected according to the logistics data to determine the abnormal operation.

[0038] The above-mentioned detection method, device, computer equipment and storage medium for waybill operation obtains logistics data of logistics waybills; the logistics data includes at least one of the operation data of waybill operation, site longitude and latitude data, historical abnormal operation data and standard process operation data; based on the operation anomaly detection strategy data, the waybill operation is detected according to the logistics data to determine the abnormal operation, that is, the waybill operation is detected according to different dimensions of operation data, site longitude and latitude data, historical abnormal operation data and standard process operation data, thereby improving the accuracy of waybill operation detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1It is an application environment diagram of a method for detecting waybill operation in one embodiment;

[0040] Figure 2 It is a flowchart of a detection method of waybill operation in one embodiment;

[0041] Figure 3 It is a flowchart of a waybill operation detection method based on operation time detection strategy data in one embodiment;

[0042] Figure 4 It is a flowchart of a waybill operation detection method based on latitude and longitude data detection strategy data in one embodiment;

[0043] Figure 5 A schematic diagram of a flow chart of a waybill operation detection method based on operation process detection strategy data in one embodiment;

[0044] Figure 6 It is a flowchart of a method for detecting waybill operation in another embodiment;

[0045] Figure 7 It is a structural block diagram of a detection device for waybill operation in one embodiment;

[0046] Figure 8 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0048] The detection method of waybill operation provided in this application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The terminal 102 obtains the logistics data of the logistics waybill from the server 104; based on the operation abnormality detection strategy data, the waybill operation is detected according to the logistics data to determine the abnormal operation, wherein the logistics data includes at least one of the operation data of the waybill operation, the site longitude and latitude data, the historical abnormal operation data and the standard process operation data. Among them, the terminal 102 can be but not limited to various personal computers, laptops, smart phones, tablet computers and portable wearable devices, and the server 104 can be implemented by an independent server or a server cluster composed of multiple servers.

[0049] In one embodiment, Figure 2 As shown, a detection method for waybill operation is provided, and the method is applied to Figure 1The terminal in is used as an example to illustrate, including the following steps:

[0050] Step 202, obtaining the logistics data of the logistics waybill.

[0051] Among them, the logistics data includes at least one of the operation data of the waybill operation, the site longitude and latitude data, the historical abnormal operation data and the standard process operation data; the operation data includes the logistics waybill number, the operation time, the site code, the operation object identifier (for example, the operator employee number), and the operation longitude and latitude data, that is, the operation data includes the logistics waybill number, the operation time, the operation code, the operation longitude and latitude data and the operation site code of each logistics node in the logistics flow path. The operation data can be collected by a bar gun scanning device, and the collected operation data is deduplicated by the bar gun scanning device, and the deduplicated operation data is uploaded to the database in the server for storing logistics data. The site longitude and latitude data refers to the longitude and latitude dimension data of the set center point of the logistics site.

[0052] Abnormal operation may refer to, but is not limited to, the operation object identifier of the logistics waybill at the corresponding logistics node is different from the preset operation object identifier, that is, the separation of people and items; abnormal operation data, that is, historical separation of people and items data, includes abnormal operation object identifier, waybill number, operation longitude and latitude data, and site longitude and latitude data. Standard process operation data includes data on waybill operations executed in a preset order; for example, the receiving operation 50 must be before the dispatching operation 80; the warehousing operation 34 must be before the outgoing operation 44; any operation other than 50 and 80 must be after the receiving operation 50 and before the dispatching operation 80; standard process operation data can be determined based on business experience data.

[0053] Specifically, the terminal receives a data acquisition instruction, and according to the data acquisition instruction, sequentially acquires corresponding operation data, site longitude and latitude data, historical abnormal operation data, and standard process operation data from the server from different dimensions such as waybill operation dimension, site dimension, historical data dimension, and operation process dimension.

[0054] Step 204: Based on the operation anomaly detection strategy data, the waybill operation is detected according to the logistics data to determine the abnormal operation.

[0055] Among them, the operation abnormality detection strategy data includes operation time detection strategy data, longitude and latitude data detection strategy data, operation process detection strategy data, etc. The operation time detection strategy data includes detecting abnormal operations based on the time difference between the current waybill operation time and the previous waybill operation time of the same operation object on the same waybill. The longitude and latitude data detection strategy data includes detecting abnormal operations by determining the distance based on the operation code longitude and latitude data and the corresponding site longitude and latitude data. The operation process detection strategy data includes detecting abnormal operations based on whether there is a priority in the standard process operation data that matches the operation code priority of the waybill operation.

[0056] Specifically, the logistics data of the current waybill operation is obtained, and anomaly detection is performed on the waybill operation based on the obtained logistics data. When any one of the operation time detection strategy data, longitude and latitude data detection strategy data, and operation process detection strategy data in the operation anomaly detection strategy data is met, the current waybill operation is determined to be an abnormal operation.

[0057] In the above-mentioned method for detecting waybill operations, by acquiring the logistics data of the logistics waybill, based on the operation anomaly detection strategy data, the waybill operation is detected according to the logistics data including at least one of the operation data of the waybill operation, the site longitude and latitude data, the historical abnormal operation data and the standard process operation data, and the abnormal operation is determined, that is, the waybill operation is timely detected during the waybill operation process according to the different dimensions of the operation data, the site longitude and latitude data, the historical abnormal operation data and the standard process operation data, thereby improving the accuracy and real-time detection of the waybill operation.

[0058] In one embodiment, Figure 3 As shown, a waybill operation detection method based on operation time detection strategy data is provided, and the method is applied to Figure 1 The terminal in is used as an example to illustrate, including the following steps:

[0059] Step 302, obtaining logistics data of the logistics waybill, the logistics data including operation data of the waybill operation.

[0060] Specifically, the operation data of the current waybill operation and all waybill operations before the current waybill operation in the logistics data are obtained to obtain the operation time, operation code, operation longitude and latitude data and operation site code of each operation of the same operation object on the same waybill number.

[0061] Step 304, sort the waybill operations in chronological order according to the operation time in the operation data, and obtain the latitude and longitude data and operation time of the current waybill operation and the previous waybill operation.

[0062] Specifically, sort all waybill operations including the current waybill operation according to the waybill operation identifier of the operation object and the chronological order of the operation time, and obtain the longitude and latitude data and operation time of the current waybill operation and the previous waybill operation.

[0063] Step 306, determine the corresponding navigation duration according to the longitude and latitude data of the current waybill operation and the previous waybill operation.

[0064] Specifically, according to the longitude and latitude data of the current waybill operation and the previous waybill operation, use the longitude and latitude calculation formula to determine the interval distance between the current waybill operation and the previous waybill operation, and determine the navigation duration required to travel this interval distance. Among them, the longitude and latitude calculation formula can be expressed as: the longitude and latitude data of the previous waybill operation are longitude λB and latitude ΦB, and the longitude and latitude data of the current waybill operation are λA and ΦA. At this time, the distance d between the two operations can be expressed as:

[0065] d = 111.12cos{1 / [sinΦAsinΦB + cosΦAcosΦBcos(λB - λA)]}.

[0066] Step 308, determine the corresponding first duration according to the operation time of the current waybill operation and the previous waybill operation.

[0067] Step 310, when the first duration is less than the navigation duration, determine that the current waybill operation is an abnormal operation.

[0068] In the above waybill detection operation method, by obtaining the longitude and latitude data and operation time of the waybill operation and the previous waybill operation in real time; determining the interval distance between the two operations according to the longitude and latitude data of the current waybill operation and the previous waybill operation, and determining the navigation duration according to the interval distance; detecting whether the current waybill operation is abnormal according to the navigation duration and the operation time of the current waybill operation and the previous waybill operation, that is, it can detect that the current waybill operation is not detected in the specified logistics site, improving the accuracy of waybill operation detection.

[0069] In one embodiment, as Figure 4 shown, a waybill operation detection method based on longitude and latitude data detection strategy data is provided. Taking the method applied to Figure 1 the terminal in

[0070] Step 402, obtain the logistics data of the logistics waybill, and the logistics data includes the operation data of the waybill operation, the site longitude and latitude data, and the historical abnormal operation data.

[0071] Step 404, determine the abnormal operation ratio value and the historical abnormal operation according to the historical abnormal operation data.

[0072] The abnormal operation ratio is the human-device separation operation ratio, that is, the ratio of the human-device separation operation volume to all operations, which can be expressed as abnormal operation ratio N%=human-device separation operation volume / all operations volume, and N% can be but is not limited to 5%.

[0073] Step 406: Obtain a first distance between the longitude and latitude data of the operation code of the historical abnormal operation and the longitude and latitude data of the corresponding site.

[0074] Specifically, the operation code longitude and latitude data of all historical abnormal operations in the historical abnormal operation data are obtained, and the first distance between each operation code longitude and latitude data and the corresponding site longitude and latitude data is calculated.

[0075] Step 408: determine the quantile of the first distance according to the abnormal operation ratio value to obtain the second distance.

[0076] The second distance is determined based on the first distance between the longitude and latitude data of the operation code of the historical abnormal operation and the longitude and latitude data of the corresponding site, and is a dynamic value.

[0077] Specifically, the quantile of the first distance is calculated according to the abnormal operation ratio value, and the obtained quantile is used as the quantile of the abnormal operation distance difference, that is, the second distance; for example, the (1-N%) quantile of the first distance R is calculated and recorded as the second distance R2. When N%=5%, R2 is the 95% quantile of the distance difference of all human object separation operations, and the second distance is determined.

[0078] Step 410: determine the third distance according to the longitude and latitude data of the operation code of the current waybill operation and the longitude and latitude data of the corresponding site.

[0079] Step 412: When the third distance is greater than the second distance, determine that the current waybill operation is an abnormal operation.

[0080] Among them, if the third distance is greater than the second distance, it indicates that the longitude and latitude of the current waybill operation and the longitude and latitude of the operation site are too far apart, and the longitude and latitude of the operation point of the current waybill operation are suspected to deviate from the actual operation site, then the current waybill operation is determined to be an abnormal operation.

[0081] In the above-mentioned method for detecting waybill operations, the first distance between the longitude and latitude data of the operation code of historical abnormal operations and the corresponding site longitude and latitude data is obtained, and the quantile of the first distance is determined according to the abnormal operation ratio value to obtain the second distance, that is, the quantile of the difference in the distance between the person-item separation operation; the third distance between the longitude and latitude data of the operation code of the current waybill operation and the corresponding site longitude and latitude data is calculated, and by comparing the second distance and the third distance, it is detected whether the current waybill operation is performed in the corresponding site, and the abnormal operation is detected, that is, according to the difference between the longitude and latitude distance of the operation and the site longitude and latitude of the historical person-item separation, and the historical person-item separation probability, a distance threshold, that is, the second distance, is obtained, and it is judged whether the distance exceeds the threshold each time. The method of judging that exceeding the threshold means abnormality improves the accuracy of waybill operation detection.

[0082] In one embodiment, Figure 5 As shown, a waybill operation detection method based on operation process detection strategy data is provided, and the method is applied to Figure 1 The terminal in is used as an example to illustrate, including the following steps:

[0083] Step 502, obtaining the logistics data of the logistics waybill; the logistics data includes the operation data of the waybill operation and the standard process operation data.

[0084] Step 504, according to the operation time in the operation data of the current waybill operation, obtain the operation data of all waybill operations before the operation time of the current waybill operation.

[0085] Step 506, determining the priority between the operation codes in the operation data.

[0086] Priority refers to the order in which the waybill operations are executed, that is, the order in which the operation codes corresponding to the waybill operations are executed. For example, the receiving operation 50 must be before the dispatching operation 80; the warehouse entry operation 34 must be before the warehouse exit operation 44; any operation other than 50 and 80 must be after the receiving operation 50 and before the dispatching operation 80.

[0087] Step 508: When there is no priority matching the priority in the standard process operation data, it is determined that the current waybill operation is an abnormal operation.

[0088] In the above-mentioned waybill operation detection method, based on the standard process operation data, all waybill operations before the operation time of the current waybill operation are obtained to obtain the priority between the operation codes; by matching whether the standard process operation data has a corresponding priority, it is detected whether the current waybill operation is abnormal, thereby improving the accuracy of waybill operation detection.

[0089] In another embodiment, Figure 6 As shown, a detection method for waybill operation is provided, and the method is applied to Figure 1 The terminal in is used as an example to illustrate, including the following steps:

[0090] Step 602, obtaining logistics data of the logistics waybill; the logistics data includes at least one of the operation data of the waybill operation, the site longitude and latitude data, the historical abnormal operation data and the standard process operation data.

[0091] Step 604: Based on the operation anomaly detection strategy data, the waybill operation is detected according to the logistics data to determine the abnormal operation.

[0092] Among them, the operation anomaly detection strategy data includes operation time detection strategy data, longitude and latitude data detection strategy data, and operation process detection strategy data.

[0093] Specifically, according to any one of the detection strategy data including the operation time detection strategy data, the longitude and latitude data detection strategy data, and the operation process detection strategy data, the waybill operation is detected according to the logistics data. That is, the waybill operation can be detected according to the logistics data based on the operation time detection strategy data; that is, according to the operation time in the operation data, the waybill operations are sorted in chronological order, and the longitude and latitude data and operation time of the current waybill operation and the previous waybill operation are obtained; the corresponding navigation duration is determined according to the longitude and latitude data of the current waybill operation and the previous waybill operation; the corresponding first duration is determined according to the operation time of the current waybill operation and the previous waybill operation. When the first duration is less than the navigation duration, the current waybill operation is determined to be an abnormal operation.

[0094] It is also possible to detect the waybill operation based on the logistics data based on the latitude and longitude data detection strategy data; that is, determine the abnormal operation proportion value and the historical abnormal operation based on the historical abnormal operation data; obtain the first distance between the operation code longitude and latitude data of the historical abnormal operation and the corresponding site longitude and latitude data; determine the quantile of the first distance based on the abnormal operation proportion value to obtain the second distance; determine the third distance based on the operation code longitude and latitude data of the current waybill operation and the corresponding site longitude and latitude data; when the third distance is greater than the second distance, determine that the current waybill operation is an abnormal operation.

[0095] It is also possible to detect the waybill operation based on the operation process detection strategy data and the logistics data, that is, to obtain the operation data of all waybill operations before the operation time of the current waybill operation based on the operation time in the operation data of the current waybill operation; determine the priority between the operation codes in the operation data; when there is no priority matching the priority in the standard process operation data, determine the current waybill operation as an abnormal operation. When the waybill operation is detected based on any one of the detection strategy data of the operation time detection strategy data, the latitude and longitude data detection strategy data, and the operation process detection strategy data, the abnormal operation is determined.

[0096] Step 606: Acquire the operation object corresponding to the abnormal operation.

[0097] Step 608: Update the acquired historical abnormal operation count of the operation object to obtain an updated abnormal operation count.

[0098] Specifically, the number of historical abnormal operations M1 of the operation object is obtained, and the number of historical abnormal operations is updated according to a preset number (the predicted number may be but is not limited to 1) to obtain an updated number of abnormal operations M, for example, M=M1+1.

[0099] Step 610, determining the detection result of the operation object according to the update operation number and the abnormal operation number threshold.

[0100] Among them, the abnormal operation number threshold is a preset percentile value (e.g. 80%) based on the abnormal operation number of the operation object in the historical abnormal operation data. For example, the abnormal operation number is the 80% percentile of the number of times employees have separation of people and objects in the historical abnormal operation data.

[0101] Specifically, it is determined whether the number of update operations is an abnormal operation number threshold. When the number of update operations is less than the abnormal operation number threshold, a prompt message is generated and sent to the user terminal where the user is located. The user terminal further checks whether the operation of the operation object is abnormal. When the waybill operation of the operation object is confirmed to be an abnormal operation, it is determined to be an abnormal operation object. A re-operation instruction is generated according to the confirmation result, and the waybill is re-operated. When the number of update operations is greater than or equal to the abnormal operation number threshold, the corresponding abnormal operation object is determined according to the abnormal operation.

[0102] Step 612: When the detection result of the operation object is an abnormal operation object, a waybill operation invalidation instruction is generated.

[0103] Specifically, when the detection result of the operation object is an abnormal operation object, an invalid waybill operation instruction is generated. The invalid waybill operation instruction limits the next waybill operation of the current waybill operation from being triggered, which can avoid damage to the logistics waybill and reduce the customer complaint rate.

[0104] In the above-mentioned detection method for waybill operation, during the logistics waybill operation process, the logistics data of the logistics waybill is obtained; based on any one of the detection strategy data of the operation time detection strategy data, the latitude and longitude data detection strategy data, and the operation process detection strategy data, the waybill operation is automatically identified and detected according to the logistics data, that is, by sorting the operation time, the time difference, distance difference and navigation distance before and after the operation are obtained, and whether the waybill operation is abnormal is detected. It is also possible to detect whether the waybill operation is abnormal based on the difference between the operation longitude and latitude of the historical separation of people and items and the longitude and latitude of the site, as well as the historical probability of separation of people and items, and detect whether the waybill operation is abnormal based on the standard process operation data. The waybill operation is detected from different dimensions to improve the accuracy of the waybill operation and improve the detection efficiency of the waybill operation; the abnormal operation object is determined according to the abnormal operation, and the prompt information is generated; the logistics waybill and the operation object are monitored by generating prompt information to reduce the risk of waybill loss, damage and customer complaint rate.

[0105] It should be understood that although Figure 2-6 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 2-6 At least part of the steps may include multiple steps or multiple stages. These steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed in turn or alternately with other steps or at least part of the steps or stages in other steps.

[0106] In one embodiment, Figure 7 As shown, a detection device for waybill operation is provided, including: an acquisition module 702 and a detection module 704, wherein:

[0107] The acquisition module 702 is used to acquire the logistics data of the logistics waybill; the logistics data includes at least one of the operation data of the waybill operation, the site longitude and latitude data, the historical abnormal operation data and the standard process operation data.

[0108] The detection module 704 is used to detect the waybill operation based on the operation abnormality detection strategy data and the logistics data to determine the abnormal operation.

[0109] In the above-mentioned detection device for waybill operation, by acquiring the logistics data of the logistics waybill, based on the operation abnormality detection strategy data, the waybill operation is detected according to the logistics data including at least one of the operation data of the waybill operation, the site longitude and latitude data, the historical abnormal operation data and the standard process operation data, and the abnormal operation is determined, that is, the waybill operation is timely detected during the waybill operation process according to the different dimensions of the operation data, the site longitude and latitude data, the historical abnormal operation data and the standard process operation data, thereby improving the accuracy and real-time detection of the waybill operation.

[0110] In another embodiment, a detection device for waybill operation is provided, which includes, in addition to the acquisition module 702 and the detection module 704, a sorting module, a determination module, an update module and a generation module, wherein:

[0111] The sorting module is used to sort the waybill operations in chronological order according to the operation time in the operation data, and obtain the latitude and longitude data and operation time of the current waybill operation and the previous waybill operation.

[0112] A determination module is used to determine the corresponding navigation duration according to the latitude and longitude data of the current waybill operation and the previous waybill operation; and to determine the corresponding first duration according to the operation time of the current waybill operation and the previous waybill operation.

[0113] The detection module is also used to determine that the current waybill operation is an abnormal operation when the first duration is less than the navigation duration.

[0114] The determination module is also used to determine the abnormal operation ratio value and the historical abnormal operation according to the historical abnormal operation data.

[0115] The acquisition module 702 is further used to acquire a first distance between the longitude and latitude data of the operation code of the historical abnormal operation and the corresponding longitude and latitude data of the site.

[0116] The determination module is also used to determine the quantile of the first distance according to the abnormal operation ratio value to obtain the second distance; and determine the third distance according to the operation code longitude and latitude data of the current waybill operation and the corresponding site longitude and latitude data.

[0117] The detection module 704 is also used to determine that the current waybill operation is an abnormal operation when the third distance is greater than the second distance.

[0118] The acquisition module 702 is further used to acquire the operation data of all waybill operations before the operation time of the current waybill operation according to the operation time in the operation data of the current waybill operation.

[0119] The determination module is further used to determine the priorities among the operation codes in the operation data.

[0120] The detection module 704 is also used to determine that the current waybill operation is an abnormal operation when there is no priority matching the priority in the standard process operation data.

[0121] The acquisition module 702 is further used to acquire an operation object corresponding to the abnormal operation.

[0122] The updating module is used to update the acquired historical abnormal operation times of the operation object to obtain the updated abnormal operation times.

[0123] The determination module is also used to determine the detection result of the operation object according to the update operation number and the abnormal operation number threshold.

[0124] A generation module is used to generate a waybill operation invalidation instruction when the detection result of the operation object is an abnormal operation object; the waybill operation invalidation instruction is used to prevent the next waybill operation of the current waybill operation from being triggered.

[0125] In one embodiment, during the operation of logistics waybills, the logistics data of the logistics waybills are obtained; based on any one of the detection strategy data of the operation time detection strategy data, the latitude and longitude data detection strategy data, and the operation process detection strategy data, the waybill operation is automatically identified and detected according to the logistics data, that is, by sorting the operation time, the time difference, distance difference and navigation distance before and after the operation are obtained, and whether the waybill operation is abnormal is detected. It is also possible to detect whether the waybill operation is abnormal based on the difference between the operation longitude and latitude of the historical separation of people and items and the longitude and latitude of the site, and the historical probability of separation of people and items, and detect whether the waybill operation is abnormal based on the standard process operation data. The waybill operation is detected from different dimensions to improve the accuracy of the waybill operation and the detection efficiency of the waybill operation; the abnormal operation object is determined according to the abnormal operation, and prompt information is generated; the logistics waybill and the operation object are monitored by generating prompt information to reduce the risk of waybill loss, damage, etc. and the customer complaint rate.

[0126] For the specific definition of the detection device for waybill operation, please refer to the definition of the detection method for waybill operation mentioned above, which will not be repeated here. Each module in the above-mentioned detection device for waybill operation can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0127] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 8As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a detection method for waybill operation is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0128] Those skilled in the art will understand that Figure 8 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0129] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0130] Obtaining logistics data of the logistics waybill; the logistics data includes at least one of the operation data of the waybill operation, the latitude and longitude data of the site, the historical abnormal operation data and the standard process operation data;

[0131] Based on the operation anomaly detection strategy data, the waybill operation is detected according to the logistics data to determine the abnormal operation.

[0132] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0133] According to the operation time in the operation data, sort the waybill operations in chronological order, and obtain the latitude and longitude data and operation time of the current waybill operation and the previous waybill operation;

[0134] Determine the corresponding navigation duration based on the latitude and longitude data of the current waybill operation and the previous waybill operation;

[0135] Determine the corresponding first duration according to the operation time of the current waybill operation and the previous waybill operation;

[0136] When the first duration is less than the navigation duration, it is determined that the current waybill operation is an abnormal operation.

[0137] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0138] Determine the abnormal operation ratio value and historical abnormal operations based on historical abnormal operation data;

[0139] Acquire a first distance between the latitude and longitude data of the operation code of the historical abnormal operation and the corresponding latitude and longitude data of the site;

[0140] Determine the quantile of the first distance according to the abnormal operation ratio value to obtain the second distance;

[0141] Determine the third distance according to the latitude and longitude data of the operation code of the current waybill operation and the corresponding longitude and longitude data of the site;

[0142] When the third distance is greater than the second distance, it is determined that the current waybill operation is an abnormal operation.

[0143] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0144] According to the operation time in the operation data of the current waybill operation, obtain the operation data of all waybill operations before the operation time of the current waybill operation;

[0145] Determine the priority between the opcodes in the operation data;

[0146] When there is no priority matching the priority in the standard process operation data, the current waybill operation is determined to be an abnormal operation.

[0147] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0148] Get the operation object corresponding to the abnormal operation;

[0149] The acquired historical abnormal operation count of the operation object is updated to obtain the updated abnormal operation count;

[0150] The detection result of the operation object is determined according to the update operation count and the abnormal operation count threshold.

[0151] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0152] When the detection result of the operation object is an abnormal operation object, a waybill operation invalidation instruction is generated; the waybill operation invalidation instruction is used to prevent the next waybill operation of the current waybill operation from being triggered.

[0153] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0154] Obtaining logistics data of the logistics waybill; the logistics data includes at least one of the operation data of the waybill operation, the latitude and longitude data of the site, the historical abnormal operation data and the standard process operation data;

[0155] Based on the operation anomaly detection strategy data, the waybill operation is detected according to the logistics data to determine the abnormal operation.

[0156] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0157] According to the operation time in the operation data, sort the waybill operations in chronological order, and obtain the latitude and longitude data and operation time of the current waybill operation and the previous waybill operation;

[0158] Determine the corresponding navigation duration based on the latitude and longitude data of the current waybill operation and the previous waybill operation;

[0159] Determine the corresponding first duration according to the operation time of the current waybill operation and the previous waybill operation;

[0160] When the first duration is less than the navigation duration, it is determined that the current waybill operation is an abnormal operation.

[0161] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0162] Determine the abnormal operation ratio value and historical abnormal operations based on historical abnormal operation data;

[0163] Acquire a first distance between the latitude and longitude data of the operation code of the historical abnormal operation and the corresponding latitude and longitude data of the site;

[0164] Determine the quantile of the first distance according to the abnormal operation ratio value to obtain the second distance;

[0165] Determine the third distance according to the latitude and longitude data of the operation code of the current waybill operation and the corresponding longitude and longitude data of the site;

[0166] When the third distance is greater than the second distance, it is determined that the current waybill operation is an abnormal operation.

[0167] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0168] According to the operation time in the operation data of the current waybill operation, obtain the operation data of all waybill operations before the operation time of the current waybill operation;

[0169] Determine the priority between the opcodes in the operation data;

[0170] When there is no priority matching the priority in the standard process operation data, the current waybill operation is determined to be an abnormal operation.

[0171] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0172] Get the operation object corresponding to the abnormal operation;

[0173] The acquired historical abnormal operation count of the operation object is updated to obtain the updated abnormal operation count;

[0174] The detection result of the operation object is determined according to the update operation count and the abnormal operation count threshold.

[0175] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0176] When the detection result of the operation object is an abnormal operation object, a waybill operation invalidation instruction is generated; the waybill operation invalidation instruction is used to prevent the next waybill operation of the current waybill operation from being triggered.

[0177] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0178] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0179] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A method for detecting waybill operation, It is characterized in that The method comprises: Obtaining logistics data of the logistics waybill; the logistics data includes at least one of operation data of the waybill operation, site longitude and latitude data, historical abnormal operation data and standard process operation data; Based on the operation anomaly detection strategy data, the waybill operation is detected according to the logistics data to determine the abnormal operation; The detecting the waybill operation based on the abnormal operation detection strategy data according to the logistics data to determine the abnormal operation includes: According to the operation time in the operation data, the waybill operations are sorted in chronological order, and the latitude and longitude data and operation time of the current waybill operation and the previous waybill operation are obtained; Determine the corresponding navigation duration according to the latitude and longitude data of the current waybill operation and the previous waybill operation; Determine a corresponding first duration according to the operation time of the current waybill operation and the previous waybill operation; When the first duration is less than the navigation duration, determining that the current waybill operation is an abnormal operation; The method further comprises: Obtaining an operation object corresponding to the abnormal operation; The acquired number of historical abnormal operations of the operation object is updated to obtain an updated number of abnormal operations; The detection result of the operation object is determined according to the number of abnormal update operations and the abnormal operation number threshold.

2. The method according to claim 1, It is characterized in that The detecting the waybill operation based on the abnormal operation detection strategy data according to the logistics data to determine the abnormal operation includes: Determine an abnormal operation ratio value and historical abnormal operations according to the historical abnormal operation data; Acquire a first distance between the latitude and longitude data of the operation code of the historical abnormal operation and the corresponding latitude and longitude data of the site; Determine the quantile of the first distance according to the abnormal operation ratio value to obtain a second distance; Determine the third distance according to the latitude and longitude data of the operation code of the current waybill operation and the corresponding longitude and longitude data of the site; When the third distance is greater than the second distance, it is determined that the current waybill operation is an abnormal operation.

3. The method according to claim 1, It is characterized in that The detecting the waybill operation based on the abnormal operation detection strategy data according to the logistics data to determine the abnormal operation includes: According to the operation time in the operation data of the current waybill operation, the operation data of all waybill operations before the operation time of the current waybill operation are obtained; Determining priorities among operation codes in the operation data; When there is no priority matching the priority in the standard process operation data, it is determined that the current waybill operation is an abnormal operation.

4. The method according to claim 1, It is characterized in that The method further comprises: When the detection result of the operation object is an abnormal operation object, a waybill operation invalidation instruction is generated; the waybill operation invalidation instruction is used to prevent the next waybill operation of the current waybill operation from being triggered.

5. A detection device for waybill operation, It is characterized in that The device comprises: An acquisition module, used to acquire logistics data of a logistics waybill; the logistics data includes at least one of operation data of the waybill operation, site longitude and latitude data, historical abnormal operation data, and standard process operation data; A detection module, configured to detect the waybill operation based on the abnormal operation detection strategy data and the logistics data to determine the abnormal operation; The device further includes: a sorting module for sorting the waybill operations in chronological order according to the operation time in the operation data, and obtaining the latitude and longitude data and operation time of the current waybill operation and the previous waybill operation; The device further includes: a determination module, configured to determine a corresponding navigation duration according to the latitude and longitude data of the current waybill operation and the previous waybill operation; and determine a corresponding first duration according to the operation time of the current waybill operation and the previous waybill operation; The detection module is further configured to determine that the current waybill operation is an abnormal operation when the first duration is less than the navigation duration; The acquisition module is also used to acquire the operation object corresponding to the abnormal operation; The device further includes: an updating module, configured to update the acquired historical abnormal operation times of the operation object to obtain an updated abnormal operation times; The determination module is further configured to determine a detection result of the operation object according to the update abnormal operation count and the abnormal operation count threshold.

6. The device according to claim 5, It is characterized in that The device also includes: a determination module, used to determine the abnormal operation ratio value and the historical abnormal operation according to the historical abnormal operation data; the acquisition module is also used to obtain the first distance between the operation code longitude and latitude data of the historical abnormal operation and the corresponding site longitude and latitude data; the device also includes: a determination module, used to determine the quantile of the first distance according to the abnormal operation ratio value to obtain the second distance; determine the third distance according to the operation code longitude and latitude data of the current waybill operation and the corresponding site longitude and latitude data; the detection module is also used to determine that the current waybill operation is an abnormal operation when the third distance is greater than the second distance.

7. The device according to claim 5, It is characterized in that The acquisition module is also used to acquire the operation data of all waybill operations before the operation time of the current waybill operation based on the operation time in the operation data of the current waybill operation; the device also includes: a determination module, used to determine the priority between the operation codes in the operation data; the detection module is also used to determine that the current waybill operation is an abnormal operation when there is no priority matching the priority in the standard process operation data.

8. The device according to claim 5, It is characterized in that The device also includes: a generation module, which is used to generate a waybill operation failure instruction when the detection result of the operation object is an abnormal operation object; the waybill operation failure instruction is used to prevent the next waybill operation of the current waybill operation from being triggered.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program. It is characterized in that When the processor executes the computer program, the steps of the method according to any one of claims 1 to 4 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, It is characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

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