CN114462938A

CN114462938A - Method, device and equipment for processing resource exception and storage medium

Info

Publication number: CN114462938A
Application number: CN202210066919.5A
Authority: CN
Inventors: 陈孝良; 李科研; 李良斌
Original assignee: Beijing SoundAI Technology Co Ltd
Current assignee: Beijing SoundAI Technology Co Ltd
Priority date: 2022-01-20
Filing date: 2022-01-20
Publication date: 2022-05-10

Abstract

The application discloses a resource exception handling method, device, equipment and storage medium, and belongs to the technical field of logistics transportation. The method comprises the following steps: determining a plurality of passing nodes corresponding to the target resource; acquiring project detection results of target resources at a plurality of passing nodes; determining that the target resource is abnormal based on the project detection result, determining at least one passing node needing to be checked based on the correlation between all passing nodes in the multiple passing nodes, wherein the correlation is used for indicating the interaction condition between all the passing nodes. The method and the device have the advantages that the relevance of interaction conditions among all the passing nodes can be indicated to determine at least one passing node needing to be checked, the checking range can be effectively reduced, the time for determining the at least one passing node needing to be checked is reduced by reducing the checking range, and accordingly the efficiency of processing abnormal resources is improved.

Description

Method, device and equipment for processing resource exception and storage medium

Technical Field

The embodiment of the application relates to the technical field of logistics transportation, in particular to a method, a device, equipment and a storage medium for processing resource exception.

Background

With the development of logistics transportation technology, the transportation range of resources is gradually expanded, and a plurality of passing nodes from the same city to cross-city areas are formed. However, the expansion of the transportation range provides convenience and increases difficulty for the task of checking each passing node through which the resource passes. For example, when there is an abnormality in the resource, it is difficult to determine the nodes that need to be investigated. Therefore, a method for handling resource exceptions is needed.

In the related art, when a resource abnormality is processed, all information related to the resource with the abnormality is acquired, and the acquired information is analyzed, so that a passing node needing to be checked is determined according to an analysis result.

According to the method for processing the resource abnormity, all information related to the abnormal resource is acquired, and the range of the information to be analyzed is large, so that the time for determining the passing node to be checked is long, and the efficiency is low.

Disclosure of Invention

The embodiment of the application provides a method, a device, equipment and a storage medium for processing resource exception, which can be used for solving the problems in the related art. The technical scheme is as follows:

in one aspect, an embodiment of the present application provides a method for processing a resource exception, where the method includes:

determining a plurality of passing nodes corresponding to the target resource;

acquiring project detection results of the target resource at the multiple passing nodes;

determining that the target resource is abnormal based on the project detection result, determining at least one passing node needing to be checked based on the correlation between all passing nodes in the passing nodes, wherein the correlation is used for indicating the interaction condition between all the passing nodes.

In a possible implementation manner, before determining at least one via node to be examined based on a correlation between the via nodes in the plurality of via nodes, the method further includes:

acquiring the number of resources interacted among all the via nodes in the via nodes, and determining the correlation among all the via nodes based on the number of the interacted resources;

or acquiring the interaction frequency among all the via nodes in the plurality of via nodes, and determining the correlation among all the via nodes based on the interaction frequency.

In a possible implementation manner, a first type of route node exists in the multiple route nodes, where the route node of the first type is a route node where the target resource is abnormal for the first time, and determining at least one route node to be examined based on a correlation between route nodes in the multiple route nodes includes:

taking the route nodes of the first type as a starting point, and sequencing the route nodes according to the relevance;

and determining at least one passing node needing to be checked according to the sequencing result.

In one possible implementation, the ranking result is a thermodynamic diagram of relevance centered around the first type of via node;

the step of determining at least one route node to be checked according to the sorting result comprises the following steps:

and determining a checking sequence according to the thermodynamic diagram, and determining at least one passing node needing to be checked based on the checking sequence.

In a possible implementation manner, the determining at least one via node to be investigated based on a correlation between the via nodes in the plurality of via nodes includes:

and if the via nodes of the second type exist in the plurality of via nodes, determining the via nodes of the second type as an abnormal source, wherein the item detection results corresponding to the via nodes of the second type indicate abnormality, and the item detection results corresponding to the upstream via nodes of the second type indicate normality.

In a possible implementation manner, after determining at least one via node to be examined based on a correlation between the via nodes in the plurality of via nodes, the method further includes:

determining a troubleshooting resource corresponding to the at least one transit node needing to be investigated;

and generating a scheme for distributing the investigation resources based on the investigation level of each via node in the at least one via node, wherein the investigation level is used for indicating the importance degree of the via node.

In another aspect, an apparatus for processing resource exception is provided, the apparatus including:

the determining module is used for determining a plurality of passing nodes corresponding to the target resource;

the acquisition module is used for acquiring the project detection results of the target resource at the multiple passing nodes;

the determining module is further configured to determine that the target resource is abnormal based on the item detection result, and determine at least one route node to be checked based on a correlation between route nodes in the multiple route nodes, where the correlation is used to indicate an interaction situation between the route nodes.

In a possible implementation manner, the determining module is further configured to obtain the number of resources interacted between each via node in the via nodes, and determine the relevance between each via node based on the number of the interacted resources; or acquiring the interaction frequency among all the via nodes in the plurality of via nodes, and determining the correlation among all the via nodes based on the interaction frequency.

In a possible implementation manner, a first type of route node exists in the route nodes, the route node of the first type is a route node where the target resource is abnormal for the first time, and the determining module is configured to rank the route nodes according to the relevance by taking the route node of the first type as a starting point; and determining at least one passing node needing to be checked according to the sequencing result.

In one possible implementation, the ranking result is a thermodynamic diagram of relevance centered around the first type of via node; the determining module is used for determining a checking sequence according to the thermodynamic diagram and determining at least one passing node needing checking based on the checking sequence.

In a possible implementation manner, the at least one via node to be examined includes an abnormal source, and the determining module is configured to determine, if a second type of via node exists in the plurality of via nodes, that the second type of via node is an abnormal source, where an item detection result corresponding to the second type of via node indicates that the item is abnormal, and item detection results corresponding to upstream via nodes of the second type of via node all indicate that the item is normal.

In a possible implementation manner, the determining module is further configured to determine a troubleshooting resource corresponding to the at least one transit node that needs to be investigated;

the device further comprises: and the generating module is used for generating a scheme for distributing the investigation resources based on the investigation level of each passing node in the at least one passing node, wherein the investigation level is used for indicating the importance degree of the passing node.

In another aspect, a computer device is provided, where the computer device includes a processor and a memory, where the memory stores at least one computer program, and the at least one computer program is loaded by the processor and executed to enable the computer device to implement any one of the above methods for processing resource exceptions.

In another aspect, a computer-readable storage medium is provided, in which at least one computer program is stored, and the at least one computer program is loaded and executed by a processor, so as to enable a computer to implement any one of the above-mentioned resource exception handling methods.

In another aspect, a computer program or a computer program product is also provided, where the computer program or the computer program product includes a computer program code, the computer program code is stored in a computer readable storage medium, a processor of an electronic device reads the computer program code from the computer readable storage medium, and the processor executes the computer program code, so that the electronic device implements any one of the above-mentioned resource exception handling methods.

The technical scheme provided by the embodiment of the application at least has the following beneficial effects:

because the correlation can reflect the interaction condition among all the via nodes, when at least one via node needing to be checked is determined based on the correlation among all the via nodes, the checking range can be effectively reduced, and the processing efficiency of resource abnormity is improved by reducing the checking range.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a schematic illustration of an implementation environment provided by an embodiment of the present application;

FIG. 2 is a flowchart of a method for processing a resource exception according to an embodiment of the present application;

FIG. 3 is a traffic flow diagram of a target resource provided by an embodiment of the present application;

FIG. 4 is a schematic structural diagram of a resource exception handling apparatus according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of a server provided in an embodiment of the present application;

fig. 6 is a schematic structural diagram of a resource exception handling device according to an embodiment of the present application.

Detailed Description

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

Referring to fig. 1, a schematic diagram of an implementation environment of a method provided in an embodiment of the present application is shown. The implementation environment may include: a terminal 11 and a server 12.

The terminal 11 is installed with an application program capable of determining a plurality of passing nodes corresponding to a target resource, and after the application program determines the plurality of passing nodes corresponding to the target resource, the application program can send information of the determined plurality of passing nodes to the server 12, and the server 12 determines at least one passing node to be checked based on the method provided by the embodiment of the present application. Or, the server 12 sends the determined information of the at least one passing node to be checked to the terminal 11, and the terminal 11 stores the information of the at least one passing node to be checked, or displays the information of the at least one passing node to be checked for the management object to take corresponding processing measures.

Or, the terminal 11 is installed with an application program capable of determining a plurality of via nodes corresponding to the target resource, and after the application program determines the plurality of via nodes corresponding to the target resource, the terminal 11 determines at least one via node to be checked based on the method provided in the embodiment of the present application. Or, the terminal 11 sends the determined information of the at least one passing node to be checked to the server 12, and the server 12 stores the information of the at least one passing node to be checked. Alternatively, the server 12 sends information of the nodes passing by to be checked to the management object, and the management object takes processing measures.

Or, the terminal 11 obtains information of a plurality of via nodes corresponding to the target resource from the server 12, and the terminal 11 determines at least one via node to be checked based on the method provided in the embodiment of the present application. Or, the terminal 11 sends the determined information of the at least one passing node to be checked to the server 12, and the server 12 stores the information of the at least one passing node to be checked. Alternatively, the server 12 sends information of the nodes passing by to be checked to the management object, and the management object takes processing measures.

Alternatively, the terminal 11 may be any electronic product capable of performing man-machine interaction with a user through one or more modes of a keyboard, a touch pad, a touch screen, a remote controller, voice interaction or handwriting equipment, such as a PC (Personal Computer), a mobile phone, a smart phone, a PDA (Personal Digital Assistant), a wearable device, a PPC (Pocket PC, palmtop), a tablet Computer, a smart car, a smart television, a smart speaker, and the like. The server 12 may be a server, a server cluster composed of a plurality of servers, or a cloud computing service center. The terminal 11 establishes a communication connection with the server 12 through a wired or wireless network.

It should be understood by those skilled in the art that the above-mentioned terminal 11 and server 12 are only examples, and other existing or future terminals or servers may be suitable for the present application and are included within the scope of the present application and are herein incorporated by reference.

Based on the implementation environment shown in fig. 1, an embodiment of the present application provides a method for processing a resource exception, where the method for processing a resource exception may be executed by a terminal or a server. Taking the method as an example for being applied to a terminal, the flow of the method is shown in fig. 2, and includes step 201-step 203.

In step 201, a plurality of via nodes corresponding to the target resource are determined.

Optionally, the target resource is any resource for transportation, and the multiple pass-through nodes corresponding to the target resource refer to nodes reached by the target resource in a transportation process. Taking the target resource as the potato as an example, the potato is transported from the warehouse in city a as the starting point to the hotel in city B, and the transportation process is as follows: warehouse-warehouse of purchasing company-warehouse of transporting company-hotel. In the transportation process, the warehouse of the warehouse and the purchasing company, the warehouse of the transportation company and the hotel all belong to the passing nodes corresponding to the potatoes.

It should be noted that, in addition to the above example, the route node corresponding to the target resource may also be a transit center reached by the target resource when the transport company transports the target resource. Taking target resources as potatoes, transporting the potatoes to a hotel by a transport company from a storehouse of the transport company as an example, wherein the area where the hotel is located is an area C of a city B, and the transportation process comprises the following steps: transport company's warehouse-transit center in city a-transit center in city B-transit center in district C (distribution center) -hotel. In the transportation process, except that the storeroom and the hotel of the transportation company belong to the passing node corresponding to the potato, the transfer center of the city A, the transfer center of the city B and the distribution center also belong to the passing node corresponding to the potato. That is, the via node corresponding to the target resource is any place where the target resource arrives, and as long as the crossing from one geographical location to another geographical location is involved, the via node can be used as the via node.

Regarding the manner of determining the multiple passing nodes corresponding to the target resource, in an exemplary manner, the terminal is installed and operated with an application program capable of being used for querying the logistics information, and the terminal obtains the multiple passing nodes corresponding to the target resource by accessing a background server of the application program for querying the logistics information.

Illustratively, a delivery flow list of the target resource is obtained, and a plurality of transport nodes corresponding to the target resource are obtained based on the delivery flow list. Taking the example that the potatoes are transported from the warehouse to the warehouse of the purchasing center as an example, since the transportation process is purchased by the purchasing center, the warehouse is directly loaded and sent without being transported by a transportation company, at this time, the background server of the application program for querying the logistics information does not have the related logistics information of the transportation process, that is, the multiple passing nodes corresponding to the target resource cannot be obtained. Therefore, a plurality of passing nodes corresponding to the target resource can be obtained based on the delivery flow list of the warehouse.

According to the method and the device for obtaining the multiple pass nodes corresponding to the target resources based on the delivery flow list, the mode of obtaining the multiple pass nodes corresponding to the target resources based on the delivery flow list is not limited, and optionally, the mode of obtaining the multiple pass nodes based on manual work is obtained. For example, the terminal provides an information input interface, the information collection object manually inputs a plurality of via nodes corresponding to the target resource on the delivery flow list based on the information input interface, and the terminal obtains the plurality of via nodes corresponding to the target resource based on the via nodes. Optionally, the terminal accesses a background server of the target resource provider, and accesses and acquires the shipment flow list stored in the background server, so as to determine the multiple via nodes on the shipment flow list.

It should be noted that the above example is intended to illustrate that the multiple via nodes corresponding to the target resource can be determined in multiple ways, and is not intended to limit the determination way. The documents used for determining the multiple pass nodes may be the delivery flow documents shown in the above embodiments, or may also be other documents related to the target resource, which is not limited in this embodiment.

In step 202, the item detection results of the target resource at a plurality of nodes via the path are obtained.

And carrying out project detection on the target resources at a plurality of passing nodes to obtain a project detection result. Optionally, the item detection comprises at least one of quality detection and security detection. In one possible implementation, the item detection is performed periodically, with the item detection being performed periodically at a first frequency. The determination mode of the first frequency is not limited in the embodiment of the present application, for example, set based on an empirical value; for another example, based on the user requirement setting, the user may be a transportation object of the target resource, the user may be a providing object of the target resource, and the user may also be other objects related to the target resource. The item detection is realized through an item detection instrument, and the terminal controls the item detection instrument to execute the item detection at a first frequency based on the communication connection with the item detection instrument.

Optionally, in addition to performing item detection at regular time, item detection may also be performed when the target resource reaches the passing node. For example, the pass-through node a is provided with an item detection instrument, the target resource performs item detection by the item detection instrument before passing through the pass-through node a, and after the item detection is completed, the target resource arrives at the pass-through node a (completion of warehousing), that is, the item detection is a step of warehousing the target resource.

After the project detection instrument performs project detection on the target resource, the terminal can acquire project detection results of the target resource at a plurality of passing nodes based on communication connection with the project detection instrument. The terminal may obtain the item detection result when the item detection of the target resource is finished based on the communication connection, or may obtain the item detection results of the target resource at a plurality of nodes via the target resource at regular intervals. The period of time may be set based on empirical values, which is not limited in the embodiments of the present application.

In step 203, it is determined that the target resource is abnormal based on the item detection result, and at least one route node to be checked is determined based on a correlation between each of the plurality of route nodes, where the correlation is used to indicate an interaction condition between each of the route nodes.

Alternatively, it is determined that the target resource has an abnormality if the item detection result indicates an abnormality. For the case that the item detection includes at least one of quality detection and security detection, the item detection result indicates an abnormality, that is, a quality abnormality or a security abnormality. Taking the target resource as the glass product as an example, the glass product is cracked (quality abnormality) during transportation, and the abnormality exists in the glass product. Taking the target resource as the potato as an example, the potato is unqualified in sanitary condition (abnormal in safety) due to long-time transportation in the transportation process, and the potato is abnormal at the moment. Of course, the abnormality of the target resource may occur during the transportation process, or the target resource may be in an abnormal state before the transportation is started, which is not limited in the embodiment of the present application.

After determining that the target resource is abnormal, at least one route node to be checked needs to be determined based on the correlation. Exemplary ways of determining the correlation between the respective route nodes include, but are not limited to, the following two ways.

The method comprises the steps of determining a first mode, obtaining the number of resources interacted among all the route nodes in the route nodes, and determining the relevance among all the route nodes based on the number of the interacted resources.

The interaction among the via nodes refers to receiving or sending resources among the via nodes. The interactive resource refers to a transmitted resource or a received resource. Taking the route node as the route node a and the route node B as an example, the resources interacted between the route node a and the route node B refer to resources sent to the route node B by the route node a and resources received from the route node B by the route node a.

It should be noted that the interactive resources are not limited to the target resources, and if the two nodes that are interacted via each other have other resources besides the target resources, the other resources also belong to the interactive resources. In an exemplary point, taking a target resource as a potato, and taking a via node as a via node a and a via node B as an example, the via node a sends the potato to the via node B and simultaneously sends an apple to the via node B, and at this time, the potato and the apple both belong to interactive resources.

The number of resources for acquiring interaction is not limited in the embodiment of the application, and in the application for querying the logistics information shown in the above embodiment, for example, the background server of the application for querying the logistics information stores, in addition to information of a plurality of passing nodes corresponding to the target resource, the number of resources interacted between any two passing nodes, and the terminal can acquire the number of resources interacted between any two passing nodes by accessing the background server of the application for querying the logistics information. Taking the delivery flow list shown in the above embodiment as an example, the quantity of the transported resources is recorded on the delivery flow list, and the quantity of the resources interacted among the nodes on the route corresponding to the transported resources can be obtained based on the delivery flow list. The manner of obtaining the number of resources interacted between the route nodes based on the delivery flow list is similar to the manner of obtaining the route nodes corresponding to the target resources based on the delivery flow list in the embodiment, and details are not repeated here.

No matter what manner the amount of resources interacted between the passing nodes (between any two passing nodes) is obtained, the correlation between any two passing nodes can be determined based on the amount of the interacted resources. In an exemplary manner, a receiving ratio of one via node (a first via node) in any two via nodes (a second via node) is obtained based on the quantity of interactive resources, a delivery ratio of the second via node in the first via node is obtained based on the quantity of the interactive resources, and the correlation between the two via nodes is determined according to the delivery ratio and the receiving ratio.

Alternatively, the receiving ratio is a ratio of the amount of the resource received by the second via node from the first via node (first amount) to the total amount of the resource received by the second via node (second amount). The time corresponding to the first number is the same as the time corresponding to the second number, and may be the same day or the same time period. The time corresponding to the first quantity means that the quantity of the resources received by the second passing node at the time from the first passing node is the first quantity. The time corresponding to the second quantity means that the total number of the resources received by the second passing node at the time is the second quantity. For example, if the total number of resources received by the second route node from the first route node on the whole day of 1/5/2022 is 1000 (the first number), and the total number of resources received by the second route node on the whole day of 1/5/2022 is 100000 (the second number), the receiving ratio of the first route node at the second route node is 0.01.

Alternatively, the shipment occupancy refers to a ratio of the number of resources (third number) sent by the first transit node to the second transit node to the total number of resources (fourth number) sent by the first transit node. The time corresponding to the third quantity is the same as the time corresponding to the fourth quantity, and can be the same day or the same time period. The time corresponding to the third quantity is the quantity of the resource which is sent by the first passing-through node to the second passing-through node at the time and is the third quantity. The time corresponding to the fourth quantity means that the total number of the resources transmitted by the first passing node at the time is the fourth quantity. For example, if the total number of resources transmitted by the first route node to the second route node all day on 1/5/2022 is 1000 (the third number), and the total number of resources transmitted by the first route node all day on 1/5/2022 is 5000 (the fourth number), the receiving/stocking ratio of the second route node at the first route node is 0.2. It should be noted that the description of the first route node and the second route node is to distinguish any two route nodes, and is not limited, and the first route node and the second route node may be any route node.

After determining the receiving to shipping ratio, a correlation model may be established based on the receiving to shipping ratio. The embodiment of the present application does not limit the established correlation model, and may be an SPSS (sparse correlation coefficient) model, or other models that can be used to obtain the correlation. And obtaining the correlation among the nodes passing through by establishing a correlation model. Taking the correlation model as the SPSS model as an example, a process of determining the correlation based on the receiving proportion and the delivering proportion will be described. The method comprises the steps of arranging the shipping ratios in a descending order, determining the grade corresponding to each shipping ratio according to the arrangement result of the shipping ratios, arranging the receiving ratios in a descending order, determining the grade corresponding to each receiving ratio according to the arrangement result of the receiving ratios, calculating the difference (first grade difference) between the grade corresponding to the same group of shipping ratios and the grade corresponding to the receiving ratios, and calculating the spearman correlation coefficient based on the first grade difference. The delivery duty ratio and the receiving duty ratio of the same group mean that two route nodes corresponding to the delivery duty ratio are the same as two route nodes corresponding to the receiving duty ratio. Since the calculated spearman correlation coefficient can reflect the correlation between any two pass-through nodes, the magnitude of the correlation between any two pass-through nodes can be determined based on the calculated spearman correlation coefficient.

And determining a second mode, acquiring the interaction frequency among all the via nodes in the plurality of via nodes, and determining the correlation among all the via nodes based on the interaction frequency.

The consistency between the related description of the interaction and the first determination method is not described herein, and the interaction frequency refers to the number of interactions in a unit time. The unit time may be any value set based on experience, for example, the unit time is 24 hours, and the unit time is 12 hours, which is not limited in the embodiment of the present application. The manner of acquiring the interaction frequency is similar to the manner of acquiring the number of resources of the interaction shown in the above embodiment, and regarding the process of determining the correlation between the nodes via the path based on the interaction frequency, the process may also be determined based on the correlation model shown in the above embodiment.

Optionally, when any two route nodes are the first route node and the second route node shown in the above embodiment, the interaction frequency between any two route nodes includes a delivery frequency (first delivery frequency) of the first route node at the second route node and a delivery frequency (second delivery frequency) of the second route node at the first route node. The first delivery frequency refers to the number of times that the second passing node sends the resource to the first passing node in unit time, and the second delivery frequency refers to the number of times that the first passing node sends the resource to the second passing node in unit time. Taking the correlation model as the SPSS model as an example, a process of determining the correlation based on the interaction frequency will be described. The method comprises the steps of sequentially arranging first delivery frequencies from small to large, determining the grade corresponding to each first delivery frequency according to the arrangement result of the first delivery frequencies, sequentially arranging second delivery frequencies from small to large, determining the grade corresponding to each second delivery frequency according to the arrangement result of the second delivery frequencies, calculating the difference (second grade difference) between the grades corresponding to the same group of first delivery frequencies and the grades corresponding to the second delivery frequencies, and calculating the spearman correlation coefficient based on the second grade difference. The first delivery frequency and the second delivery frequency of the same group mean that two transit nodes corresponding to the first delivery frequency are the same as two transit nodes corresponding to the second delivery frequency.

It should be noted that, after determining the correlation between the passing nodes, the terminal may repeat the above operations according to the second frequency to implement maintenance of the determined correlation, so that the determined correlation between the passing nodes is more accurate. The determination method of the second frequency is similar to the determination method of the first frequency in step 202, and is not repeated herein.

Alternatively, it is only necessary to ensure that the correlation between the respective via nodes is determined before determining at least one via node that needs to be examined. Therefore, the operation of determining the relevance of each passing node may be performed before the item detection result of the target resource at each passing node is obtained, in addition to the operation performed when the target resource is abnormal as shown in the above embodiment. At this time, when the terminal acquires the item detection results of the target resource at the multiple passing nodes at intervals, in addition to the simultaneous acquisition shown in the above embodiment, the item detection results of the target resource at the multiple passing nodes may be sequentially acquired based on the correlation.

For the situation that the terminal acquires the item detection results of the target resource at the multiple via nodes based on the communication connection when the item detection of the target resource is finished, the manner of determining the via nodes to be checked includes, but is not limited to: when a first type of route node exists in the route nodes, the route nodes of the first type are taken as a starting point, and the route nodes are sequenced according to the relevance; and determining at least one passing node needing to be checked according to the sequencing result.

The first type of pass-through node is a pass-through node where the target resource is abnormal for the first time. The route node with the abnormality at the first time is the route node which is indicated to be abnormal by the terminal acquiring the corresponding item detection result at the earliest time from the plurality of route nodes. Because the terminal acquires the project detection result when the project detection is finished, the sequence of the abnormity of the target resource at each passing node can be distinguished according to the time of the project detection finishing, namely the time of acquiring the project detection result. For example, the item detection results of the target resource at a plurality of route nodes, such as the route node a and the route node B, indicate abnormality, and the terminal performs the following steps in 2022, 1 month, 5 days 15: 00, acquiring an item detection result corresponding to the route node A to indicate abnormity, wherein the terminal is in a state of 16 in 2022, 1 month, 5 days: 00, the time when the terminal acquires the item detection result corresponding to the route node B to indicate abnormity is later than the time when the terminal acquires the item detection result corresponding to other route nodes to indicate abnormity is 16/1/5/2022: 00, the pass node a is determined to be a pass node of the first type.

It should be noted that the item detection result that the terminal acquires the transit node may be when the item detection is finished, or may be an item detection result that the terminal acquires the transit node only after a period of time after the item detection is finished. For example, the terminal periodically executes an operation of acquiring item detection results corresponding to a plurality of transit nodes, and the operation is periodically executed so that the terminal and the item detection instrument do not need to maintain communication connection for a long time, thereby reducing loss in the item detection process. And the item detection result corresponding to the pass node is the item detection result of the target resource at the pass node.

In a possible implementation manner, the ranking result is a thermodynamic diagram of the relevance with the first type of pass node as the center. The thermodynamic diagram of the correlation centered on the route node of the first type means that the thermodynamic diagram of the correlation indicates the correlation between the route node of the first type and other route nodes. Alternatively, when the thermodynamic diagram indicates relevance in color depth, the higher the relevance of other transit nodes to the first type of transit node, the darker the color displayed in the thermodynamic diagram. The other route nodes are route nodes except the first type of route node in the multiple route nodes.

After generating the thermodynamic diagrams of the correlation, a checking sequence can be determined according to the thermodynamic diagrams, and at least one passing node needing to be checked is determined based on the checking sequence. Illustratively, based on the color depth displayed by the thermodynamic diagram, dividing other passing nodes into three groups from deep to light, analyzing an item detection result corresponding to the passing node of the first group, determining the passing node indicated by the item detection result as the passing node needing to be checked, and repeatedly executing the operations by the remaining two groups.

It should be noted that, the above embodiment is intended to illustrate that at least one route node that needs to be checked may be sequentially determined by a color depth displayed by a thermodynamic diagram, but not limited to the determination manner by the thermodynamic diagram, and the determined checking order may be three groups illustrated above by way of example, or may be another checking order, which is not limited in the embodiment of the present application. In addition, in the case where the terminal sequentially acquires the item detection results corresponding to the plurality of transit nodes based on the correlation shown in the above embodiment, the terminal may determine which of the item detection results of the transit nodes indicates that the target resource is abnormal after the acquisition.

Optionally, in a case of obtaining the item detection results of the target resource at the multiple passing nodes at intervals, the time for the terminal to obtain the item detection results is different from the time for obtaining the item detection results after the item detection is finished, and the terminal may obtain the item detection results of the target resource at the multiple passing nodes at intervals simultaneously, or may obtain the item detection results of the target resource at the multiple passing nodes at intervals sequentially. Whether the project detection results of the target resources at the multiple passing nodes are obtained simultaneously or sequentially, the abnormal source can be determined according to the project detection results of the target resources at the multiple passing nodes. That is, in addition to determining at least one via node that needs to be investigated, when the at least one via node that needs to be investigated includes an anomaly source, the anomaly source also needs to be determined. The abnormal source refers to a via node of which the corresponding item detection result indicates an abnormality at the earliest time among the plurality of via nodes. Ways to determine the source of the anomaly include, but are not limited to: and if the via node of the second type exists in the plurality of via nodes, determining the via node of the second type as an abnormal source, indicating that the item detection result corresponding to the via node of the second type is abnormal, and indicating that the item detection result corresponding to the upstream via node of the second type is normal. The upstream via node of the via node is a via node that transmits the target resource to the via node. Fig. 3 is a traffic flow diagram of a target resource shown in an embodiment of the present application, and referring to fig. 3, an upstream route node of a route node 1 is a route node 3 and a route node 4, and an upstream route node of a route node a is a first type of route node.

In a possible implementation manner, a transport flow graph of a target resource may be used to assist in determining an abnormal source, where the transport flow graph of the target resource is used to indicate an interaction relationship between multiple via nodes corresponding to the target resource. The method for acquiring the transportation flow graph may be that an interactive relationship between a plurality of via nodes and a plurality of via nodes corresponding to the target resource acquired based on the above steps is input to a network model for generating the transportation flow graph, and the transportation flow graph of the target resource is output through the network model.

Taking fig. 3 as an example to explain a process of determining an abnormal source in assistance of a transportation flow diagram, a route node 1, a route node 3, and a route node a are determined as a first group, a route node 2, a route node 4, and a route node B are determined as a second group, and a route node 5, a route node 6, and a route node 7 are determined as a third group based on colors displayed by a thermodynamic diagram. The item detection results corresponding to the route nodes in the first group, the second group and the third group are analyzed in sequence, so that the item detection results corresponding to the route node 3, the route node 1, the route node A and the route node B indicate abnormal conditions, and the item detection results corresponding to the route node 2, the route node 4, the route node 5, the route node 6 and the route node 7 indicate normal conditions. Since the item detection result corresponding to the upstream route node (the route node 6 and the route node 7) of the route node 3 indicates normal, the route node 3 is a second type of route node, and it is determined that the route node 3 is an abnormal source. By determining the source of the anomaly, the anomaly source can be further investigated in a subsequent investigation process.

It should be noted that, since the route node of the first type is a route node where abnormality occurs for the first time in the time dimension, and the route node of the second type is a route node where abnormality occurs for the first time in the space dimension, the route node of the second type and the route node of the first type may be the same route node or different route nodes. The thermodynamic diagram and the transportation flow diagram for determining the anomaly source may be two diagrams or the same diagram, which are not limited in the embodiments of the present application.

Exemplarily, after determining at least one route node to be investigated, the terminal may further determine investigation resources corresponding to the at least one route node to be investigated; and generating a scheme for distributing the investigation resources based on the investigation grade of each passing node in the at least one passing node, wherein the investigation grade is used for indicating the importance degree of the passing node. Optionally, the query resource refers to a resource that can be called when querying at least one passing node, and the query resource may be a human resource used when querying the passing node, such as a passing node administrator; or may be a material for checking the passed node, such as a machine for detecting the material in the passed node.

With respect to the investigation level of each route node, this embodiment of the present application is not limited to this, and may be determined based on a correlation between the route node and a route node of the first type or a route node of the second type. For example, if the relevance of the route node a to the route node of the first type is greater than the relevance of the route node B to the route node of the first type, the rank of the route node a is higher than that of the route node B, that is, the importance of the route node a is higher than that of the route node B. The level of investigation of each passed node may also be determined based on the geographic location at which the passed node is located. For example, if the person passing through the geographical location where the node a is located is more crowded than the person passing through the geographical location where the node B is located, the rank of the examination of the passing node a is higher than that of the passing node B, that is, the importance degree of the passing node a is higher than that of the passing node B.

When the scheme for allocating the troubleshooting resources is generated according to the troubleshooting level of each passing node, the troubleshooting resources can be preferentially allocated to the passing nodes with high troubleshooting levels, so that the troubleshooting resources are dynamically allocated, and the troubleshooting efficiency is improved.

After the terminal generates the scheme for allocating the investigation resources, the scheme can be sent to the terminal of the passing node administrator corresponding to at least one passing node, so that the passing node administrator is reminded of processing the target resources or processing the influence caused by the target resources, and meanwhile, a reference for allocating the investigation resources to process is managed for the passing node. The processing mode includes but is not limited to recalling the target resource; and performing secondary project detection on the resources related to the target resources. The resources related to the target resource may be the same type of resource or may be resources whose transportation routes have coincidences. For example, the target resource is a glass product, the glass product is broken, and the other glass products passing through the node can be subjected to secondary quality detection to determine whether the other glass products are broken. For example, the target resource is potato, the hygiene condition of the potato is unqualified, and the unqualified hygiene condition of the potato affects the safety condition of other resources, so that the secondary safety detection can be performed on other resources transported by the same transport carrier as the potato, and whether the other resources are deteriorated or not can be determined.

In summary, the resource exception handling method provided in the embodiment of the present application determines a troubleshooting sequence based on the correlation that can be used to indicate the interaction situation between the route nodes, and performs a targeted troubleshooting on the multiple route nodes by troubleshooting the item detection results corresponding to the multiple route nodes according to the troubleshooting sequence, thereby improving the resource exception handling efficiency. Due to the fact that efficiency is improved, the method can quickly respond when the target resource is abnormal, and influences caused by the target resource abnormality are effectively controlled.

Referring to fig. 4, an embodiment of the present application provides an apparatus for processing a resource exception, where the apparatus includes: a determination module 401 and an acquisition module 402.

A determining module 401, configured to determine a plurality of pass nodes corresponding to a target resource;

an obtaining module 402, configured to obtain item detection results of a target resource at multiple passing nodes;

the determining module 401 is further configured to determine that the target resource is abnormal based on the item detection result, and determine at least one route node to be checked based on a correlation between route nodes in the multiple route nodes, where the correlation is used to indicate an interaction situation between the route nodes.

Optionally, the determining module 401 is further configured to obtain the number of resources interacted between each via node in the multiple via nodes, and determine the relevance between each via node based on the number of interacted resources; or acquiring the interaction frequency among all the via nodes in the plurality of via nodes, and determining the correlation among all the via nodes based on the interaction frequency.

Optionally, a first type of route node exists in the multiple route nodes, where the first type of route node is a route node where the target resource is abnormal for the first time, and the determining module 401 is configured to sort the multiple route nodes according to the relevance by using the first type of route node as a starting point; and determining at least one passing node needing to be checked according to the sequencing result.

Optionally, the ranking result is a thermodynamic diagram of relevance centred around a first type of route node; and the determining module 401 is configured to determine a checking order according to the thermodynamic diagram, and determine at least one passing node to be checked based on the checking order.

Optionally, the at least one via node to be examined includes an abnormal source, and the determining module 401 is configured to determine, if a second type of via node exists in the plurality of via nodes, that the second type of via node is an abnormal source, a project detection result corresponding to the second type of via node indicates that the via node is abnormal, and project detection results corresponding to upstream via nodes of the second type of via node all indicate that the via node is normal.

Optionally, the determining module 401 is further configured to determine a troubleshooting resource corresponding to at least one transit node that needs to be investigated; the device also includes: and the generating module is used for generating a scheme for distributing the investigation resources based on the investigation grade of each passing node in the at least one passing node, and the investigation grade is used for indicating the importance degree of the passing node.

The device can effectively reduce the investigation range when determining at least one passing node to be investigated based on the correlation among the passing nodes because the correlation can reflect the interaction condition among the passing nodes, and improves the processing efficiency of resource abnormity by reducing the investigation range.

It should be noted that, when the apparatus provided in the foregoing embodiment implements the functions thereof, only the division of the functional modules is illustrated, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the internal structure of the apparatus may be divided into different functional modules to implement all or part of the functions described above. In addition, the apparatus and method embodiments provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments for details, which are not described herein again.

Fig. 5 is a schematic structural diagram of a server according to an embodiment of the present application, where the server may generate a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 501 and one or more memories 502, where the one or more memories 502 store at least one computer program, and the at least one computer program is loaded and executed by the one or more processors 501, so that the server implements the method for Processing a resource exception provided by the foregoing method embodiments. Of course, the server may also have components such as a wired or wireless network interface, a keyboard, and an input/output interface, so as to perform input/output, and the server may also include other components for implementing the functions of the device, which are not described herein again.

Fig. 6 is a schematic structural diagram of a resource exception handling device according to an embodiment of the present application. The device may be a terminal, and may be, for example: a smart phone, a tablet computer, an MP3(Moving Picture Experts Group Audio Layer III, motion video Experts compression standard Audio Layer 3) player, an MP4(Moving Picture Experts Group Audio Layer IV, motion video Experts compression standard Audio Layer 4) player, a notebook computer or a desktop computer. A terminal may also be referred to by other names such as user equipment, portable terminal, laptop terminal, desktop terminal, etc.

Generally, a terminal includes: a processor 601 and a memory 602.

The processor 601 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 601 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 601 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 601 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content that the display screen needs to display. In some embodiments, processor 601 may also include an AI (Artificial Intelligence) processor for processing computational operations related to machine learning.

The memory 602 may include one or more computer-readable storage media, which may be non-transitory. The memory 602 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, the non-transitory computer readable storage medium in the memory 602 is configured to store at least one instruction, which is configured to be executed by the processor 601, so as to enable the terminal to implement the method for processing resource exception provided by the method embodiment in the present application.

In some embodiments, the terminal may further include: a peripheral interface 603 and at least one peripheral. The processor 601, memory 602, and peripheral interface 603 may be connected by buses or signal lines. Various peripheral devices may be connected to the peripheral interface 603 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of a radio frequency circuit 604, a display 605, a camera assembly 606, an audio circuit 607, a positioning component 608, and a power supply 609.

The peripheral interface 603 may be used to connect at least one peripheral related to I/O (Input/Output) to the processor 601 and the memory 602. In some embodiments, the processor 601, memory 602, and peripheral interface 603 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 601, the memory 602, and the peripheral interface 603 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.

The Radio Frequency circuit 604 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 604 communicates with communication networks and other communication devices via electromagnetic signals. The rf circuit 604 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 604 comprises: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuitry 604 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: metropolitan area networks, various generation mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the rf circuit 604 may further include NFC (Near Field Communication) related circuits, which are not limited in this application.

The display 605 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 605 is a touch display screen, the display screen 605 also has the ability to capture touch signals on or over the surface of the display screen 605. The touch signal may be input to the processor 601 as a control signal for processing. At this point, the display 605 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display 605 may be one, disposed on the front panel of the terminal; in other embodiments, the display 605 may be at least two, respectively disposed on different surfaces of the terminal or in a folding design; in other embodiments, the display 605 may be a flexible display, disposed on a curved surface or on a folded surface of the terminal. Even more, the display 605 may be arranged in a non-rectangular irregular pattern, i.e., a shaped screen. The Display 605 may be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), and the like.

The camera assembly 606 is used to capture images or video. Optionally, camera assembly 606 includes a front camera and a rear camera. Generally, a front camera is disposed at a front panel of the terminal, and a rear camera is disposed at a rear surface of the terminal. In some embodiments, the number of the rear cameras is at least two, and each rear camera is any one of a main camera, a depth-of-field camera, a wide-angle camera and a telephoto camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize panoramic shooting and VR (Virtual Reality) shooting functions or other fusion shooting functions. In some embodiments, camera assembly 606 may also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp, and can be used for light compensation at different color temperatures.

Audio circuitry 607 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals to the processor 601 for processing or inputting the electric signals to the radio frequency circuit 604 to realize voice communication. For the purpose of stereo sound collection or noise reduction, a plurality of microphones can be arranged at different parts of the terminal respectively. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 601 or the radio frequency circuit 604 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, audio circuitry 607 may also include a headphone jack.

The positioning component 608 is used to locate the current geographic Location of the terminal to implement navigation or LBS (Location Based Service). The Positioning component 608 may be a Positioning component based on the Global Positioning System (GPS) in the united states, the beidou System in china, the grignard System in russia, or the galileo System in the european union.

The power supply 609 is used to supply power to various components in the terminal. The power supply 609 may be ac, dc, disposable or rechargeable. When the power supply 609 includes a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery may also be used to support fast charge technology.

In some embodiments, the terminal also includes one or more sensors 610. The one or more sensors 610 include, but are not limited to: acceleration sensor 611, gyro sensor 612, pressure sensor 613, optical sensor 615, and proximity sensor 616.

The acceleration sensor 611 may detect the magnitude of acceleration on three coordinate axes of a coordinate system established with the terminal. For example, the acceleration sensor 611 may be used to detect components of the gravitational acceleration in three coordinate axes. The processor 601 may control the display screen 605 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 611. The acceleration sensor 611 may also be used for acquisition of motion data of a game or a user.

The gyroscope sensor 612 may detect a body direction and a rotation angle of the terminal, and the gyroscope sensor 612 and the acceleration sensor 611 may cooperate to acquire a 3D motion of the user on the terminal. The processor 601 may implement the following functions according to the data collected by the gyro sensor 612: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.

The pressure sensor 613 may be disposed on a side frame of the terminal and/or on a lower layer of the display 605. When the pressure sensor 613 is disposed on the side frame of the terminal, a user's holding signal to the terminal can be detected, and the processor 601 performs left-right hand recognition or shortcut operation according to the holding signal collected by the pressure sensor 613. When the pressure sensor 613 is disposed at the lower layer of the display screen 605, the processor 601 controls the operability control on the UI interface according to the pressure operation of the user on the display screen 605. The operability control comprises at least one of a button control, a scroll bar control, an icon control and a menu control.

The optical sensor 615 is used to collect the ambient light intensity. In one embodiment, processor 601 may control the display brightness of display screen 605 based on the ambient light intensity collected by optical sensor 615. Specifically, when the ambient light intensity is high, the display brightness of the display screen 605 is increased; when the ambient light intensity is low, the display brightness of the display screen 605 is adjusted down. In another embodiment, the processor 601 may also dynamically adjust the shooting parameters of the camera assembly 606 according to the ambient light intensity collected by the optical sensor 615.

A proximity sensor 616, also known as a distance sensor, is typically provided on the front panel of the terminal. The proximity sensor 616 is used to collect the distance between the user and the front face of the terminal. In one embodiment, when the proximity sensor 616 detects that the distance between the user and the front face of the terminal gradually decreases, the processor 601 controls the display 605 to switch from the bright screen state to the dark screen state; when the proximity sensor 616 detects that the distance between the user and the front face of the terminal is gradually increased, the display 605 is controlled by the processor 601 to switch from the rest state to the bright state.

Those skilled in the art will appreciate that the architecture shown in FIG. 6 does not constitute a limitation of the resource exception handling apparatus and may include more or fewer components than those shown, or some of the components may be combined, or a different arrangement of components may be employed.

In an exemplary embodiment, a computer device is also provided, the computer device comprising a processor and a memory, the memory having at least one computer program stored therein. The at least one computer program is loaded and executed by one or more processors to cause the computer device to implement any one of the above-mentioned resource exception handling methods.

In an exemplary embodiment, there is also provided a computer-readable storage medium having at least one computer program stored therein, the at least one computer program being loaded and executed by a processor of a computer device to cause the computer to implement any one of the above-mentioned resource exception handling methods.

In one possible implementation, the computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a Compact Disc Read-Only Memory (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.

In an exemplary embodiment, there is also provided a computer program or a computer program product, the computer program or the computer program product including computer program code, the computer program code being stored in a computer-readable storage medium, the computer program code being read by a processor of an electronic device from the computer-readable storage medium, the computer program code being executed by the processor, so that the electronic device implements any of the above-mentioned resource exception handling methods.

It should be understood that reference to "a plurality" herein means two or more. "and/or" describes the association relationship of the associated object, indicating that there may be three relationships, for example, a and/or B, which may indicate: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.

The above description is only exemplary of the present application and should not be taken as limiting the present application, and any modifications, equivalents, improvements and the like that are made within the principles of the present application should be included in the protection scope of the present application.

Claims

1. A method for handling resource exceptions, the method comprising:

determining a plurality of passing nodes corresponding to the target resource;

2. The method according to claim 1, wherein before determining at least one route node to be examined based on a correlation between respective route nodes of the plurality of route nodes, further comprising:

3. The method according to claim 1 or 2, wherein a first type of route node exists among the plurality of route nodes, the first type of route node is a route node where abnormality first occurs in the target resource, and the determining at least one route node to be investigated based on a correlation between the route nodes includes:

4. The method of claim 3, wherein the ranking result is a thermodynamic diagram of relevance centered around the first type of pass node;

5. The method according to claim 1 or 2, wherein the at least one via node to be investigated includes an anomaly source, and the determining of the at least one via node to be investigated based on a correlation between the respective via nodes of the plurality of via nodes includes:

6. The method according to claim 1 or 2, wherein after determining at least one route node to be examined based on a correlation between respective route nodes of the plurality of route nodes, further comprising:

7. An apparatus for handling resource exceptions, the apparatus comprising:

8. A computer device comprising a processor and a memory, the memory having stored therein at least one computer program, the at least one computer program being loaded and executed by the processor to cause the computer device to carry out a method of handling resource exceptions as recited in any one of claims 1-6.

9. A computer-readable storage medium, in which at least one computer program is stored, the at least one computer program being loaded and executed by a processor to cause a computer to implement a method of handling a resource exception as claimed in any one of claim 1 to claim 6.

10. A computer program product, characterized in that the computer program product comprises computer program code, which is stored in a computer-readable storage medium, from which a processor of an electronic device reads the computer program code, the processor executing the computer program code, causing the electronic device to execute the method of handling of resource exceptions of any one of claims 1 to 6.