Abnormal express mail identification method, device, computer equipment and storage medium

Abstract

The present application relates to a method, device, computer equipment and storage medium for identifying abnormal express parcels. The method comprises: obtaining route information of historical express parcel waybills from the same origin to the same destination; obtaining the average daily express parcel volume of each route node from the same origin to the same destination according to the route information of the historical express parcel waybills; screening multiple target route nodes from each route node according to the average daily express parcel volume of each route node to form a normal route node set from the same origin to the same destination; if it is detected that the real-time route node of the express parcel to be identified is not in the normal route node set, the express parcel to be identified is determined to be an abnormal express parcel. This method can be used to determine in real time whether the express parcel to be identified has been shipped incorrectly, so that timely warnings can be issued for express parcels with unreasonable routes, so as to remind delivery personnel to check and correct the routes of the incorrectly shipped express parcels, and reduce the waste of sorting and transportation resources caused by incorrect shipments.

Description

Technical Field

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

[0002] With the popularity of e-commerce, online shopping has become an indispensable part of people's lives. The rapid growth of express delivery volume has also brought some problems to the express delivery industry. For example, if the express delivery is wrongly shipped during the delivery process, the courier will need to re-detour the express delivery, resulting in a waste of sorting and transportation resources.

[0003] However, to address this issue, currently the only solution is to establish a data warehouse to record the route information of express waybills, and there are no improvement measures for the wrong route of express delivery. Summary of the invention

[0004] Based on this, it is necessary to provide an abnormal express delivery identification method, device, computer equipment and storage medium to address the technical problem that the above-mentioned express delivery takes the wrong route, resulting in waste of sorting and transportation resources.

[0005] A method for identifying abnormal express shipments, the method comprising:

[0006] Obtain route information of historical express waybills from the same origin to the same destination; the route information includes each route node passed by the express and the arrival time at each route node;

[0007] According to the route information of the historical express waybills, the average daily express volume of each route node from the same origin to the same destination is obtained;

[0008] According to the average daily express volume of each of the route nodes, a plurality of target route nodes are selected from each of the route nodes to form a set of normal route nodes from the same origin to the same destination;

[0009] If it is monitored that the real-time route node of the express shipment to be identified is not within the normal route node set, the express shipment to be identified is determined to be an abnormal express shipment.

[0010] In one embodiment, obtaining the average daily express volume of each route node from the same origin to the same destination according to the route information of the historical express waybill includes:

[0011] According to each route node that the express parcel passes through and the arrival time at each route node, the total number of express parcels per day at each route node from the same origin to the same destination is obtained;

[0012] The average of the total number of express shipments on the single day is obtained to obtain the average daily number of express shipments at each route node from the same origin to the same destination.

[0013] In one embodiment, the step of selecting a plurality of target route nodes from each of the route nodes according to the average daily express volume of each of the route nodes includes:

[0014] Obtain the daily average express volume threshold corresponding to the same origin to the same destination;

[0015] The route nodes whose average daily express delivery volume is greater than or equal to the average daily express delivery volume threshold are selected from the route nodes as the target route nodes.

[0016] In one embodiment, the step of selecting a plurality of target route nodes from each of the route nodes according to the average daily express volume of each of the route nodes further includes:

[0017] Obtain the first day number on which the total number of express parcels per day of each of the route nodes is greater than or equal to the average daily express parcel volume threshold;

[0018] A first day number threshold is obtained, and route nodes whose first day number is greater than the first day number threshold are selected from the route nodes as target route nodes.

[0019] In one embodiment, before selecting a plurality of target route nodes from each of the route nodes according to the average daily express volume of each of the route nodes, the method further includes:

[0020] According to the route information of the historical express waybills, the average daily express volume from the same origin to the same destination is obtained;

[0021] The method of selecting a plurality of target route nodes from each of the route nodes according to the average daily express volume of each of the route nodes includes:

[0022] According to the average daily express volume of each of the route nodes and the average daily express volume from the same origin to the same destination, the average daily proportion of the express volume of each of the route nodes is obtained;

[0023] The threshold value of the average daily proportion of express shipments from the same origin to the same destination is obtained, and the route nodes whose average daily proportion of express shipments is greater than the threshold value of the average daily proportion of express shipments are selected from the route nodes as the target route nodes.

[0024] In one embodiment, the step of selecting a plurality of target route nodes from each of the route nodes according to the average daily express volume of each of the route nodes further includes:

[0025] According to the total number of express parcels per day at each of the route nodes and the average daily number of express parcels from the same origin to the same destination, the proportion of the express parcel volume per day at each of the route nodes is obtained;

[0026] Obtain the number of the second day when the daily express volume ratio of each of the route nodes is greater than or equal to the daily average express volume ratio threshold;

[0027] A second number threshold is obtained, and a route node whose second number is greater than the second number threshold is selected from each of the route nodes as a target route node.

[0028] In one embodiment, after determining that the express shipment to be identified is an abnormal express shipment, the method further includes:

[0029] Generate an early warning message carrying the express shipment identification of the express shipment to be identified, and send the early warning message to the delivery personnel's terminal; the early warning message is used to instruct the delivery personnel to check and process the express shipment to be identified.

[0030] An abnormal express mail identification device, the device comprising:

[0031] An information acquisition module, used to acquire route information of historical express waybills from the same origin to the same destination; the route information includes each route node passed by the express and the arrival time at each route node;

[0032] A daily average express volume acquisition module, used to obtain the daily average express volume of each route node from the same origin to the same destination according to the route information of the historical express waybill;

[0033] A node set acquisition module, used to select a plurality of target route nodes from each of the route nodes according to the average daily express volume of each of the route nodes, to form a normal route node set from the same origin to the same destination;

[0034] The abnormal express delivery identification module is used to determine that the express delivery to be identified is an abnormal express delivery if it is detected that the real-time route node of the express delivery to be identified is not within the normal route node set.

[0035] 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:

[0036] Obtain route information of historical express waybills from the same origin to the same destination; the route information includes each route node passed by the express and the arrival time at each route node;

[0037] According to the route information of the historical express waybills, the average daily express volume of each route node from the same origin to the same destination is obtained;

[0038] According to the average daily express volume of each of the route nodes, a plurality of target route nodes are selected from each of the route nodes to form a set of normal route nodes from the same origin to the same destination;

[0039] If it is monitored that the real-time route node of the express shipment to be identified is not within the normal route node set, the express shipment to be identified is determined to be an abnormal express shipment.

[0040] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the following steps:

[0041] Obtain route information of historical express waybills from the same origin to the same destination; the route information includes each route node passed by the express and the arrival time at each route node;

[0042] According to the route information of the historical express waybills, the average daily express volume of each route node from the same origin to the same destination is obtained;

[0043] According to the average daily express volume of each of the route nodes, a plurality of target route nodes are selected from each of the route nodes to form a set of normal route nodes from the same origin to the same destination;

[0044] If it is monitored that the real-time route node of the express shipment to be identified is not within the normal route node set, the express shipment to be identified is determined to be an abnormal express shipment.

[0045] The above-mentioned abnormal express identification method, device, computer equipment and storage medium obtain the average daily express volume of each route node from the same origin to the same destination based on the route information of the historical express waybill from the same origin to the same destination, and select multiple target route nodes from each route node based on the average daily express volume of each route node to form a normal route node set from the same origin to the same destination. If the real-time route node of the express to be identified is not in the normal route node set, the express to be identified is determined to be an abnormal express. The method constructs a normal route node set through historical express waybill data, and thus determines in real time whether the express to be identified has been erroneously shipped based on whether the express to be identified has passed through a route node outside the normal route node set, so that timely warnings can be issued for express with unreasonable routes to remind delivery personnel to check and correct the route of the erroneously shipped express, thereby reducing the waste of sorting and transportation resources caused by erroneous shipments. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A schematic diagram of a flow chart of a method for identifying abnormal express mails in one embodiment;

[0047] Figure 2 A schematic diagram of a process of selecting a target route node in one embodiment;

[0048] Figure 3 A schematic diagram of a flow chart of a method for identifying abnormal express mails in another embodiment;

[0049] Figure 4 is a structural block diagram of an abnormal express mail identification device in one embodiment;

[0050] Figure 5 An internal structural diagram of a computer device in one embodiment. DETAILED DESCRIPTION

[0051] 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.

[0052] In one embodiment, Figure 1 As shown, a method for identifying abnormal express mail is provided. This embodiment uses the method applied to a terminal as an example for illustration. It can be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0053] Step S102, obtaining route information of historical express waybills from the same origin to the same destination; the route information includes each route node that the express passes through and the arrival time at each route node.

[0054] It is understandable that, since express parcels need to be sorted and loaded at multiple route nodes before they reach the destination during transportation, the route information of the historical express waybills obtained may include the various route nodes that the express parcels pass through and the arrival time at each route node. Among them, the time of arrival at each route node can be regarded as the time of unblocking the vehicle at each route node, that is, the time of unblocking the vehicle by scanning the barcode of the vehicle with a bar gun at the route node.

[0055] In a specific implementation, if the origin is a, the destination is b, and the flow direction from the origin to the destination is ab, then the route information of the historical express waybill from the origin a to the destination b is obtained, including each route node that the express passes through in the flow direction of ab and the arrival time at each route node.

[0056] Step S104, based on the route information of historical express waybills, obtain the average daily express volume of each route node from the same origin to the same destination.

[0057] In the specific implementation, after obtaining the route information of the historical express waybill from the origin a to the destination b, the total number of express parcels that pass through each route node for transit every day can be counted according to the arrival time of the express parcels at each route node, and the average of the total number of express parcels per day at each route node can be obtained to obtain the average daily express volume of each route node.

[0058] In one embodiment, step S104 specifically includes: obtaining the total number of express parcels on a single day at each route node passed by the same origin to the same destination based on each route node passed by the express parcel and the arrival time at each route node; obtaining the average of the total number of express parcels on a single day to obtain the average daily number of express parcels at each route node passed by the same origin to the same destination.

[0059] For example, if i represents the i-th day in history and x represents the route node that the express package passes through, represents the total number of express parcels that flowed to ab and passed through route node x on the past i-th day (i = 1, 2, 3..., ∞), then the average number of express parcels that flowed to ab and passed through route node x in the past n days It can be expressed as:

[0060]

[0061] Step S106, based on the average daily express volume of each route node, multiple target route nodes are selected from each route node to form a normal route node set from the same origin to the same destination.

[0062] In a specific implementation, after obtaining the average daily express volume of each route node, multiple target route nodes can be screened out from each route node according to the preset route node judgment conditions. More specifically, the preset route node screening conditions may include: screening route nodes whose average daily express volume is greater than the average daily express volume threshold from the origin to the destination, screening route nodes whose average daily proportion of express volume is greater than the average daily proportion threshold from the origin to the destination, screening route nodes whose first day number (indicating the number of days when the total daily express volume is greater than or equal to the average daily express volume threshold of the flow direction) is greater than the first day number threshold, screening route nodes whose second day number (indicating the number of days when the proportion of express volume is greater than or equal to the average daily proportion threshold of the express volume) is greater than the second day number threshold. When a route node meets any of the preset route node judgment conditions, the route node is taken as the target route node and added to the corresponding normal route node set from the origin to the destination.

[0063] Step S108: If it is detected that the real-time route node of the express shipment to be identified is not in the normal route node set, the express shipment to be identified is determined to be an abnormal express shipment.

[0064] In the specific implementation, after obtaining the normal route node set from the same origin to the same destination, the abnormalities of each express shipment in transportation can be identified based on the normal route node set. Specifically, the route nodes that the express shipment passes through in real time can be monitored by real-time monitoring technology (such as flink monitoring) to determine whether the real-time route node is in the constructed normal route node set. If it is in the normal route node set, it is determined that the transportation process of the express shipment to be identified is normal. If it is not in the normal route node set, the express shipment to be identified is determined to be an abnormal express shipment.

[0065] Furthermore, in one embodiment, after step S108, it also includes: generating a warning message carrying the parcel identification of the parcel to be identified, and sending the warning message to the delivery personnel's terminal; the warning message is used to instruct the delivery personnel to check and process the parcel to be identified.

[0066] The express shipment identification is an identification that marks the uniqueness of the express shipment, and the express shipment identification may be the waybill number of the express shipment.

[0067] Specifically, after determining that the express parcel to be identified is an abnormal one, an early warning message carrying the parcel identification of the express parcel to be identified can be generated and sent to the delivery personnel's terminal and route node sorting and delivery personnel, instructing the delivery personnel to check the abnormal situation of the express parcel to be identified to confirm whether it is a wrong parcel. If so, the transportation route of the express parcel should be corrected in time.

[0068] In the above-mentioned abnormal express identification method, according to the route information of the historical express waybill from the same origin to the same destination, the average daily express volume of each route node from the same origin to the same destination is obtained, and according to the average daily express volume of each route node, multiple target route nodes are screened from each route node to form a normal route node set from the same origin to the same destination. If it is monitored that the real-time route node of the express to be identified is not in the normal route node set, the express to be identified is determined to be an abnormal express. This method constructs a normal route node set through historical express waybill data, so as to judge in real time whether the express to be identified has been wrongly shipped according to whether the express to be identified passes through a route node outside the normal route node set, so as to timely warn the express with unreasonable routes, so as to remind the delivery personnel to check and correct the route of the wrongly shipped express, reduce the waste of sorting and transportation resources caused by wrong shipment, reduce the time delay caused by wrong shipment, and reduce the claims of enterprises.

[0069] In one embodiment, the above step S106 specifically includes: obtaining the daily average express volume threshold corresponding to the same origin to the same destination; and selecting from each route node the route node whose daily average express volume is greater than or equal to the daily average express volume threshold as the target route node.

[0070] In the specific implementation, if Indicates the daily average express volume threshold corresponding to the flow direction ab in the past n days. Taking route node x as an example, represents the total number of express parcels that flowed to ab and passed through route node x on the past i-th day (i = 1, 2, 3…, ∞), and is expressed as represents the average daily express volume from origin a to destination b and passing through route node x, then the relationship between route node x and the target route node can be expressed as:

[0071]

[0072] In this embodiment, the average daily express volume of the route nodes is compared with the average daily express volume threshold, so that the route nodes with an average daily express volume greater than the average daily express volume threshold are added to the normal route node set according to the comparison result, so as to realize timely judgment on whether the express is mis-shipped based on the target route node with an average daily express volume greater than the average daily express volume threshold.

[0073] In one embodiment, the above step S106 also includes: obtaining the first day number of each route node on which the total amount of express parcels in a single day is greater than or equal to the daily average express parcel amount threshold; obtaining the first day number threshold, and selecting the route nodes whose first day number is greater than the first day number threshold from each route node as the target route node.

[0074] In the specific implementation, if represents the daily average express volume threshold corresponding to the flow to ab in the past n days, then the daily total express volume of route node x The relationship between the threshold value of the daily express volume that is greater than or equal to the average daily express volume can be expressed as: If k represents the first day threshold (1≤k≤n, and is an integer), and d represents a day when the total number of express shipments on a single day is greater than or equal to the average daily express shipment threshold, the first day can be expressed as: Then the relationship for determining route node x as the target route node according to the first day number can be expressed as:

[0075] and

[0076] In this embodiment, the first day number corresponding to the route node is compared with the first day number threshold, so that the route node with a first day number greater than the first day number threshold is added to the normal route node set according to the comparison result, so as to realize timely judgment on whether the express delivery is mis-shipped based on the target route node with a first day number greater than the first day number threshold.

[0077] In one embodiment, before the above step S106, the method further includes: obtaining an average daily express volume from the same origin to the same destination according to route information of historical express waybills;

[0078] If Figure 2 As shown, the above step S106 also includes:

[0079] Step S202, obtaining the average daily share of the express volume of each route node according to the average daily express volume of each route node and the average daily express volume from the same origin to the same destination;

[0080] Step S204, obtaining the daily average percentage threshold of express shipment volume corresponding to the same origin to the same destination, and selecting from each route node the route node whose daily average percentage of express shipment volume is greater than the daily average percentage threshold of express shipment volume as the target route node.

[0081] In the specific implementation, if represents the number of express parcels flowing to ab on the past i-th day (i = 1, 2, 3..., ∞), then the average daily express parcel volume flowing to ab in the past n days can be obtained for:

[0082]

[0083] If used represents the average daily volume of express shipments from origin a to destination b passing through route node x. The average daily percentage of express shipments passing through route node x can be expressed as

[0084] If used It represents the daily average proportion threshold of the flow direction ab in the past n days. Taking route node x as an example, based on the flow direction ab in the past n days and the daily average proportion of the express volume of route node x, the relationship between judging route node x as the target route node can be expressed as:

[0085]

[0086] In this embodiment, the average daily express volume ratio of the route node is compared with the average daily ratio threshold, so that the route nodes whose average daily express volume ratio is greater than the average daily ratio threshold are added to the normal route node set according to the comparison result, so as to realize timely judgment on whether the express is mis-shipped based on the target route node whose average daily express volume ratio is greater than the average daily ratio threshold.

[0087] In one embodiment, the above step S106 also includes: obtaining the daily express volume proportion of each route node based on the total daily express volume of each route node and the average daily express volume from the same origin to the same destination; obtaining the second day number of each route node whose daily express volume proportion is greater than or equal to the threshold of the average daily express volume proportion; obtaining the second day number threshold, and selecting the route nodes whose second day number is greater than the second day number threshold from each route node as the target route node.

[0088] In the specific implementation, the total number of express parcels per day at route node x is The average daily express volume from the same origin a to the same destination b The daily express volume ratio of route node x can be expressed as The daily express volume ratio is greater than or equal to the daily average ratio threshold. The available relationship is: If g is used to represent the second day threshold (1≤g≤n, and it is an integer), and t is used to represent a day when the express volume ratio on a single day is greater than or equal to the daily average express volume ratio threshold, then the second day can be expressed as:

[0089]

[0090] Then the relationship between judging route node x as the target route node according to the second day number can be expressed as:

[0091] and

[0092] In this embodiment, the second day number corresponding to the route node is compared with the second day number threshold, so that the route node whose second day number ratio is greater than the second day number threshold is added to the normal route node set according to the comparison result, so as to realize timely judgment on whether the express delivery is mis-shipped based on the target route node whose second day number ratio is greater than the second day number threshold.

[0093] Furthermore, through the above judgment conditions, the judgment condition set of the normal route node set from the origin a to the destination b can be obtained as shown in the following formula, where the first day number threshold k and the second day number threshold gThey can be the same or different. When a route node satisfies at least one judgment condition, the route node can be determined to be a target route node.

[0094]

[0095] In order to more clearly illustrate the technical solution provided by the embodiments of the present application, Figure 3 An application example of the abnormal express mail identification method of the present application is described in detail. Figure 3 This is a flow chart of a method for identifying abnormal express mails in another embodiment. The specific flow of the method is as follows:

[0096] Take the flow 010-755 with origin 010 and destination 755 as an example, record the historical data for 30 days (i.e. Figure 3 The route information of the historical waybills is shown in Table 1 below. The first column in the table represents the i-th day, such as T-1 represents the first day. The 010, 755, ... 025 in the first row represent the route nodes, and the remaining numbers, such as 8284, 8596, 11927 ..., represent the express volume. Based on the data in Table 1, the average daily express volume of the flow direction 010-755 in the past 30 days can be calculated.

[0097] In the historical 30-day route information, the total daily express delivery volume of each route node 010, 755, ... 025 is counted (i.e., the total daily express delivery volume is aggregated by flow direction and node), and the average daily express delivery volume of each route node (i.e., Figure 3 The average daily express shipment volume by flow direction and node is as follows:

[0098] If the daily average express delivery volume threshold is The threshold value of the daily average proportion of express shipments is Let w times the value be 1.5, then Let v be 1.5, then Let the first day number threshold and the second day number threshold be recorded as k, and the k value is 3 days, then: According to these judgment formulas (i.e. Figure 3 From the judgment condition for judging normal node 1, we can see that route nodes 010, 075, 020, 022, and 769 all meet the judgment condition that the average daily express volume is greater than the average daily express volume threshold. Therefore, 010, 075, 020, 022, and 769 can all be determined as target route nodes, and can be added to the set of normal route nodes with a flow direction of 010-755.

[0099]

[0100] Table 1

[0101] However, the express parcel passing through route node 451 does not meet any of the following conditions in the judgment condition set of normal route nodes. Therefore, route node 451 is determined to be an abnormal route node.

[0102] Among them, the first judgment condition in the following judgment condition set is Figure 3 The judgment condition of normal node 1 in the second judgment condition is Figure 3 The judgment condition of the normal node 2 in the third judgment condition is Figure 3 The fourth judgment condition of the normal node 3 in is Figure 3 The judgment conditions for normal node 4 in .

[0103]

[0104] The express parcel passing through route node 028 also does not meet any of the conditions in the following judgment condition set of normal route nodes. Therefore, route node 028 is determined to be an abnormal route node.

[0105]

[0106] Thus, the normal route node set with a flow direction of 010-755 is {010, 075, 020, 022, 769}. When it is detected that the real-time route node of the express to be identified with a flow direction of 010-755 is not in the normal route node set, it can be determined that the express to be identified is an abnormal express.

[0107] The abnormal express identification method provided in this embodiment can help enterprises establish a legal route node library by constructing a normal route node set as a suspected wrongly sent express warning model, and counter-planning departments can design reasonable planning routes. In addition, by real-time monitoring of express routes, express parcels passing through unreasonable route nodes can be promptly reported, and operating staff can be reminded to check and correct them, thereby reducing time delays caused by wrong shipments and reducing claims. By reducing wrong shipments, the waste of resources can be reduced, and the utilization rate of transportation capacity and sorting resources can be improved.

[0108] It should be understood that although Figure 1-3 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 1-3At 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.

[0109] In one embodiment, Figure 4 As shown, an abnormal express mail identification device is provided, including: an information acquisition module 402, a daily average express mail volume acquisition module 404, a node set acquisition module 406 and an abnormal express mail identification module 408, wherein:

[0110] The information acquisition module 402 is used to acquire the route information of the historical express waybills from the same origin to the same destination; the route information includes each route node that the express passes through and the arrival time at each route node;

[0111] The daily average express volume acquisition module 404 is used to obtain the daily average express volume of each route node from the same origin to the same destination according to the route information of the historical express waybill;

[0112] The node set acquisition module 406 is used to select a plurality of target route nodes from each route node according to the average daily express volume of each route node, so as to form a normal route node set from the same origin to the same destination;

[0113] The abnormal express delivery identification module 408 is used to determine that the express delivery to be identified is an abnormal express delivery if it is detected that the real-time route node of the express delivery to be identified is not in the normal route node set.

[0114] In one embodiment, the above-mentioned daily average express delivery volume acquisition module 404 is specifically used to obtain the total daily express delivery volume of each route node from the same origin to the same destination based on each route node passed by the express and the arrival time at each route node; obtain the average of the total daily express delivery volume to obtain the daily average express delivery volume of each route node passed by the same origin to the same destination.

[0115] In one embodiment, the node set acquisition module 406 is specifically used to obtain the daily average express volume threshold corresponding to the same origin to the same destination; and select the route nodes whose daily average express volume is greater than or equal to the daily average express volume threshold from each route node as the target route node.

[0116] In one embodiment, the node set acquisition module 406 is further used to respectively obtain the first day number of each route node on which the total amount of express parcels per day is greater than or equal to the daily average express parcel amount threshold; obtain the first day number threshold, and select the route nodes whose first day number is greater than the first day number threshold from each route node as the target route nodes.

[0117] In one embodiment, the node set acquisition module 406 is further used to obtain the average daily express volume from the same origin to the same destination based on the route information of historical express waybills; obtain the average daily proportion of the express volume of each route node based on the average daily express volume of each route node and the average daily express volume from the same origin to the same destination; obtain the threshold value of the average daily proportion of the express volume corresponding to the same origin to the same destination, and select the route node whose average daily proportion of the express volume is greater than the threshold value of the average daily proportion of the express volume from each route node as the target route node.

[0118] In one embodiment, the node set acquisition module 406 is further used to obtain the daily express volume proportion of each route node based on the daily express volume of each route node and the daily average express volume from the same origin to the same destination; obtain the second day number of each route node when the daily express volume proportion is greater than or equal to the daily average express volume proportion threshold; obtain the second day number threshold, and select the route nodes whose second day number is greater than the second day number threshold from each route node as the target route node.

[0119] In one embodiment, the above device further comprises:

[0120] The warning information generation module is used to generate warning information carrying the express shipment identification of the express shipment to be identified, and send the warning information to the delivery personnel's terminal; the warning information is used to instruct the delivery personnel to check and process the express shipment to be identified.

[0121] It should be noted that the abnormal express delivery identification device of the present application corresponds one-to-one to the abnormal express delivery identification method of the present application. The technical features and beneficial effects described in the embodiment of the above-mentioned abnormal express delivery identification method are applicable to the embodiment of the abnormal express delivery identification device. For specific contents, please refer to the description in the embodiment of the method of the present application. It will not be repeated here. This is hereby declared.

[0122] In addition, each module in the above-mentioned abnormal express delivery identification device can be implemented in whole or in part by software, hardware and their combination. 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 corresponding operations of the above modules.

[0123] 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 5As 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, an abnormal express identification method 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 covered on the display screen, or a key, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0124] Those skilled in the art will understand that Figure 5 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.

[0125] 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:

[0126] Obtain route information of historical express waybills from the same origin to the same destination; the route information includes each route node passed by the express and the arrival time at each route node;

[0127] According to the route information of the historical express waybills, the average daily express volume of each route node from the same origin to the same destination is obtained;

[0128] According to the average daily express volume of each of the route nodes, a plurality of target route nodes are selected from each of the route nodes to form a set of normal route nodes from the same origin to the same destination;

[0129] If it is monitored that the real-time route node of the express shipment to be identified is not within the normal route node set, the express shipment to be identified is determined to be an abnormal express shipment.

[0130] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0131] 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:

[0132] Obtain route information of historical express waybills from the same origin to the same destination; the route information includes each route node passed by the express and the arrival time at each route node;

[0133] According to the route information of the historical express waybills, the average daily express volume of each route node from the same origin to the same destination is obtained;

[0134] According to the average daily express volume of each of the route nodes, a plurality of target route nodes are selected from each of the route nodes to form a set of normal route nodes from the same origin to the same destination;

[0135] If it is monitored that the real-time route node of the express shipment to be identified is not within the normal route node set, the express shipment to be identified is determined to be an abnormal express shipment.

[0136] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0137] 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 can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can 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).

[0138] 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.

[0139] The above-mentioned 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 identifying abnormal express shipments. It is characterized in that The method comprises: Obtain route information of historical express waybills from the same origin to the same destination; the route information includes each route node passed by the express and the arrival time at each route node; According to the route information of the historical express waybills, the average daily express volume of each route node from the same origin to the same destination is obtained; According to the average daily express volume of each of the route nodes, a plurality of target route nodes are selected from each of the route nodes to form a set of normal route nodes from the same origin to the same destination; If it is detected that the real-time route node of the express shipment to be identified is not in the normal route node set, the express shipment to be identified is determined to be an abnormal express shipment; Among them, the target route node is a route node among the route nodes whose average daily express volume is greater than or equal to the average daily express volume threshold corresponding to the same origin to the same destination, or a route node whose total daily express volume is greater than or equal to the average daily express volume threshold and the number of the first day is greater than the first day number threshold, or a route node whose average daily proportion of express volume is greater than the average daily proportion threshold of express volume corresponding to the same origin to the same destination, or a route node whose average daily proportion of express volume is greater than or equal to the average daily proportion threshold of express volume and the number of the second day is greater than the second day number threshold; the average daily proportion of express volume of each of the route nodes is obtained according to the average daily express volume of each of the route nodes and the average daily express volume from the same origin to the same destination; the single-day proportion of express volume of each of the route nodes is obtained according to the total single-day express volume and the average daily express volume from the same origin to the same destination.

2. The method according to claim 1, It is characterized in that The method of obtaining the average daily express volume of each route node from the same origin to the same destination according to the route information of the historical express waybill includes: According to each route node that the express parcel passes through and the arrival time at each route node, the total number of express parcels per day at each route node from the same origin to the same destination is obtained; The average of the total number of express shipments on the single day is obtained to obtain the average daily number of express shipments at each route node from the same origin to the same destination.

3. The method according to claim 1, It is characterized in that The method of selecting a plurality of target route nodes from each of the route nodes according to the average daily express volume of each of the route nodes includes: Obtain the daily average express volume threshold corresponding to the same origin to the same destination; The route nodes whose average daily express delivery volume is greater than or equal to the average daily express delivery volume threshold are selected from the route nodes as the target route nodes.

4. The method according to claim 3, It is characterized in that The step of selecting a plurality of target route nodes from each of the route nodes according to the average daily express volume of each of the route nodes further includes: Obtain the first day number on which the total number of express parcels per day of each of the route nodes is greater than or equal to the average daily express parcel volume threshold; A first day number threshold is obtained, and route nodes whose first day number is greater than the first day number threshold are selected from the route nodes as target route nodes.

5. The method according to claim 1, It is characterized in that Before selecting a plurality of target route nodes from each of the route nodes according to the average daily express volume of each of the route nodes, the method further includes: According to the route information of the historical express waybills, the average daily express volume from the same origin to the same destination is obtained; The method of selecting a plurality of target route nodes from each of the route nodes according to the average daily express volume of each of the route nodes includes: According to the average daily express volume of each of the route nodes and the average daily express volume from the same origin to the same destination, the average daily proportion of the express volume of each of the route nodes is obtained; The threshold value of the average daily proportion of express shipments from the same origin to the same destination is obtained, and the route nodes whose average daily proportion of express shipments is greater than the threshold value of the average daily proportion of express shipments are selected from the route nodes as the target route nodes.

6. The method according to claim 5, It is characterized in that The step of selecting a plurality of target route nodes from each of the route nodes according to the average daily express volume of each of the route nodes further includes: According to the total number of express parcels per day at each of the route nodes and the average daily number of express parcels from the same origin to the same destination, the proportion of the express parcel volume per day at each of the route nodes is obtained; Obtain the number of the second day when the daily express volume ratio of each of the route nodes is greater than or equal to the daily average express volume ratio threshold; A second number threshold is obtained, and a route node whose second number is greater than the second number threshold is selected from each of the route nodes as a target route node.

7. The method according to claim 1, It is characterized in that After determining that the express item to be identified is an abnormal express item, the method further includes: Generate an early warning message carrying the express shipment identification of the express shipment to be identified, and send the early warning message to the delivery personnel's terminal; the early warning message is used to instruct the delivery personnel to check and process the express shipment to be identified.

8. An abnormal express delivery identification device, It is characterized in that The device comprises: An information acquisition module, used to acquire route information of historical express waybills from the same origin to the same destination; the route information includes each route node passed by the express and the arrival time at each route node; A daily average express volume acquisition module, used to obtain the daily average express volume of each route node from the same origin to the same destination according to the route information of the historical express waybill; A node set acquisition module, used to select a plurality of target route nodes from each of the route nodes according to the average daily express volume of each of the route nodes, to form a normal route node set from the same origin to the same destination; An abnormal express shipment identification module, configured to determine that the express shipment to be identified is an abnormal express shipment if it is detected that the real-time route node of the express shipment to be identified is not within the normal route node set; Among them, the target route node is a route node among the route nodes whose average daily express volume is greater than or equal to the average daily express volume threshold corresponding to the same origin to the same destination, or a route node whose total daily express volume is greater than or equal to the average daily express volume threshold and the number of the first day is greater than the first day number threshold, or a route node whose average daily proportion of express volume is greater than the average daily proportion threshold of express volume corresponding to the same origin to the same destination, or a route node whose average daily proportion of express volume is greater than or equal to the average daily proportion threshold of express volume and the number of the second day is greater than the second day number threshold; the average daily proportion of express volume of each of the route nodes is obtained according to the average daily express volume of each of the route nodes and the average daily express volume from the same origin to the same destination; the single-day proportion of express volume of each of the route nodes is obtained according to the total single-day express volume and the average daily express volume from the same origin to the same destination.

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 7 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 7 are implemented.

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