Vehicle dispatching process management method and device

By configuring the relationship between the shipping process node and the geographical location, obtaining vehicle images to determine the location and license plate number, generating and updating the target path, the problem of inaccurate vehicle supervision in the shipping site is solved, and efficient cargo management and path guidance are achieved.

CN120509819AInactive Publication Date: 2025-08-19SUZHOU YIJI INTELLIGENT TECH CO LTD
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Patent Information

Application Number
CN202511004376.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-21
Publication Date
2025-08-19
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In the prior art, the vehicle transportation supervision of the delivery site is not accurate and timely enough, and it is prone to stealing and exchange of goods, and it is impossible to effectively generate the site map to guide the correct process path for users, resulting in inefficient shipping efficiency.

Method used

By configuring the correspondence between nodes and geographical locations in the shipping process, using the shooting module to obtain vehicle images to determine the geographical location and license plate number, generate target paths, and update the path marking site map in real time, and conduct process guidance in combination with the application to generate an extended map to promptly verify vehicle behavior abnormalities.

Benefits of technology

It improves the supervision accuracy and timeliness of vehicle delivery and operation, effectively prevents goods stealing and exchange, and generates an accurate site map to guide the correct process paths for users, improving shipping efficiency.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to a vehicle dispatching process management method and device. The method comprises the following steps: acquiring images of a vehicle at each node, and determining a current geographic position and a license plate number of the vehicle according to the images; determining a goods type corresponding to the vehicle and a target shipping process node set corresponding to the vehicle according to the license plate number, and generating a target path based on the goods type; searching a corresponding position node in the target forwarding process node set according to the current geographic position, and updating the target path in real time according to the position node; according to the updated target path, performing path marking on a dispatching site map, and generating a site information packet including site map information; and the target application program generates a field map based on the field map information or adds the field map information to the original map information according to a map fusion method to generate a new extended map for vehicle flow guidance. According to the invention, the process path of the vehicle can be accurately and timely recorded and displayed, the field map can be generated to guide the correct process path for the user, and the dispatching efficiency is improved.
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Description

Technical Field

[0001] The present invention relates to the field of Internet of Things technology, and in particular to a vehicle shipping process management method, device, computer equipment, computer-readable storage medium, and computer program product. Background Art

[0002] Shipping areas, such as mines (e.g., coal, metal, or non-metallic) and industrial parks (e.g., chemical and logistics parks), typically offer a wide variety of products. When vehicles enter these areas to deliver goods, they must be monitored to prevent vehicles carrying low-value goods from being loaded with high-value goods, thereby causing economic losses. For example, coal mines typically offer a variety of coal products, including raw coal, medium coal, and clean coal. Monitoring is essential to prevent vehicles from stealing or substituting coal.

[0003] Currently, supervisors typically inspect vehicles at weigh stations and exits to check whether the cargo they carry matches the type of goods on the bill of lading. This helps determine if the vehicle has engaged in any unusual activity, such as stealing or exchanging goods. However, manual monitoring is prone to oversight, and a more reliable method is urgently needed to monitor vehicle activity at shipping sites.

[0004] In addition, since the scope of the shipping area is usually relatively small and / or the geographical location of the relevant shipping links will be adjusted according to the actual situation of the shipping area, it is impossible to use the existing map navigation system for navigation. Therefore, it is easy for vehicles entering the shipping area to go the wrong way and other chaos, which brings inconvenience to the process management of the shipping area.

[0005] Therefore, the existing technology lacks a vehicle shipping process management method, device, computer equipment, storage medium and computer program product that can accurately and timely record and display the vehicle's process path and generate a site map to guide users to the correct process path. Summary of the Invention

[0006] Based on this, it is necessary to provide a vehicle shipping process management method, device, computer equipment, computer-readable storage medium and computer program product to address the above technical problems, so as to improve the accuracy, timeliness and reliability of vehicle shipping behavior supervision, effectively prevent the occurrence of cheating behaviors such as stealing and exchanging goods, and generate a site map to guide users to the correct process path and improve shipping efficiency.

[0007] According to a first aspect of the present invention, a vehicle shipping process management method is provided, the method comprising:

[0008] Configure the correspondence between nodes and geographical locations in each shipping process;

[0009] The camera module captures images of the vehicle at each node and determines the vehicle's current geographic location and license plate number based on the images;

[0010] Determine the cargo type corresponding to the vehicle and the target shipping process node set corresponding to the cargo type based on the license plate number, and generate the corresponding target path based on the target shipping process node set;

[0011] According to the current geographical location of the vehicle, the corresponding location node is found in the target shipping process node set, and the target path is updated in real time based on the location node;

[0012] Marking the route on a preset shipping site map according to the updated target route, generating a site information package including site map information, and sending the package to the target application;

[0013] The target application generates a site map based on the site map information or adds the site map information to the original map information to generate a new extended map according to a preset map fusion method to provide vehicle process guidance.

[0014] Optionally, after searching for a corresponding location node in the target shipping process node set based on the current geographic location of the vehicle and updating the target path in real time based on the location node, the method further includes:

[0015] Compare the updated target path with the target path to verify whether the vehicle process is abnormal;

[0016] Based on the abnormal results, a field information package including abnormal alarm information is generated to issue an alarm.

[0017] Optionally, determining the cargo type corresponding to the vehicle and the target shipping process node set corresponding to the cargo type according to the license plate number, and generating a corresponding target path based on the target shipping process node set includes:

[0018] Determine the type of cargo corresponding to the vehicle based on the license plate number;

[0019] According to the cargo type, a target node is selected from the shipping process node set to form a target shipping process node set;

[0020] According to the cargo type, select the corresponding target relationship from the preset node relationships;

[0021] Generate the corresponding target path based on the target shipping process node set and target association relationship.

[0022] Optionally, based on the current geographic location of the vehicle, a corresponding location node is searched in the target shipping process node set, including:

[0023] Based on the vehicle's current geographic location and the correspondence between nodes and geographic locations in each shipping process, search for a candidate node corresponding to the current geographic location in the target shipping process node set;

[0024] If there is only one candidate node, determine it as the location node corresponding to the current geographical location;

[0025] If there are multiple candidate nodes, the location node corresponding to the current geographical location is selected from the candidate nodes based on the association relationship and priority relationship between the previous location node and each candidate node.

[0026] Optionally, based on the current geographic location of the vehicle, a corresponding location node is searched in the target shipping process node set, including:

[0027] Based on the vehicle's current geographic location and the correspondence between nodes and geographic locations in each shipping process, search for a candidate node corresponding to the current geographic location in the target shipping process node set;

[0028] If there is only one candidate node, determine it as the location node corresponding to the current geographical location;

[0029] If there are multiple candidate nodes, extract the current image captured by the camera in the target path corresponding to the candidate node, and calculate the number of vehicles in the target path corresponding to the candidate node based on the current image;

[0030] If the number of vehicles is greater than or equal to the preset number, the corresponding candidate nodes are eliminated to obtain the remaining candidate nodes;

[0031] If there is only one candidate node left, determine it as the location node corresponding to the current geographical location;

[0032] If there are multiple candidate nodes remaining, the location node corresponding to the current geographical location is selected from the remaining candidate nodes based on the association relationship and priority relationship between the previous location node and each remaining candidate node.

[0033] Optionally, the shooting module is a camera, and the capturing of images of the vehicle at each node by the shooting module and determining the current geographic location and license plate number of the vehicle based on the images include:

[0034] Setting a capture machine at a preset geographical location to establish a first correspondence between the capture machine and the geographical location;

[0035] The images of the vehicle at each node are acquired through a camera, where one node corresponds to one or more cameras;

[0036] Determine the corresponding capture device according to the image received at the current moment, and determine the current geographical location of the vehicle according to the first corresponding relationship;

[0037] Feature extraction is performed on the image to identify the license plate numbers of vehicles entering the shipping area.

[0038] According to a second aspect of the present invention, a vehicle delivery process management device is provided, which includes: a shooting module, a configuration module, a path generation module, a regional information generation module and an information receiving module; wherein,

[0039] A shooting module is used to obtain images of the vehicle at each node;

[0040] Configuration module, used to configure the correspondence between nodes and geographical locations in each shipping process;

[0041] The path generation module is connected to the capture module and the configuration module, and is used to determine the vehicle's current geographic location and license plate number based on the image; determine the type of cargo corresponding to the vehicle and the target shipping process node set corresponding to the cargo type based on the license plate number, and generate the corresponding target path based on the target shipping process node set; and, based on the vehicle's current geographic location, search the target shipping process node set for the corresponding location node and update the target path in real time based on the location node.

[0042] The region information generation module is connected to the path generation module and is used to mark the path on the preset shipping site map according to the updated target path, generate a site information package including site map information, and send it to the target application;

[0043] The information receiving module is connected to the regional information generating module, and is used by the target application to generate a site map based on the site map information or to add the site map information to the original map information to generate a new extended map according to a preset map fusion method to provide vehicle process guidance.

[0044] According to a third aspect of the present invention, a computer device is provided, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any of the above methods when executing the computer program.

[0045] According to a fourth aspect of the present invention, 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 of any of the above methods are implemented.

[0046] According to a fifth aspect of the present invention, there is provided a computer program product, comprising a computer program, which implements the steps of any of the above methods when executed by a processor.

[0047] The vehicle shipping process management method, apparatus, computer device, storage medium, and computer program product provided by the present invention configure the correspondence between nodes and geographic locations in each shipping process; obtain an image of the vehicle at each node, and determine the vehicle's current geographic location and license plate number based on the image; determine the type of cargo corresponding to the vehicle and its corresponding target shipping process node set based on the license plate number, and generate a target path based on the image; search for the corresponding location node in the target shipping process node set based on the current geographic location, and update the target path in real time based on the location node; mark the path on the shipping site map based on the updated target path, and generate a site information package including site map information; the target application generates a site map based on the site map information or adds the site map information to the original map information according to a map fusion method to generate a new extended map for vehicle process guidance. The vehicle shipping process management method, apparatus, computer device, storage medium, and computer program product provided by the present invention can improve the accuracy, timeliness, and reliability of vehicle shipping behavior supervision, effectively prevent cheating behaviors such as stealing and exchanging goods, and can generate a site map to guide users on the correct process path, thereby improving shipping efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 A schematic diagram of a process flow of the vehicle shipping process management method provided by the present invention;

[0049] Figure 2 Another schematic diagram of the vehicle shipping process management method provided by the present invention;

[0050] Figure 3 Another flowchart of the vehicle shipping process management method provided by the present invention;

[0051] Figure 4 This is another flow chart of the vehicle shipping process management method provided by the present invention;

[0052] Figure 5a A schematic diagram of a circuit module structure of the vehicle shipping process management device provided by the present invention;

[0053] Figure 5b This is a schematic diagram of another circuit module structure of the vehicle shipping process management device provided by the present invention;

[0054] Figure 6 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0056] The present invention provides a vehicle shipping process management method, such as Figure 1 As shown, the method includes the following steps:

[0057] Step S10: configuring the correspondence between nodes and geographical locations in each shipping process;

[0058] In step S10, relevant personnel of the shipping site can pre-configure the correspondence between nodes and geographical locations in each shipping process through the platform configuration interface of the device or system applying the vehicle shipping process management method of the present invention, wherein one node corresponds to a link in the shipping process, and the correspondence between the node and the geographical location includes: one node corresponds to one or more geographical locations, and one geographical location corresponds to one or more nodes. Those skilled in the art can flexibly configure it according to the actual situation of the shipping site, and no limitation is made here.

[0059] Step S20: acquiring images of the vehicle at each node through a photographing module, and determining the vehicle's current geographic location and license plate number based on the images;

[0060] In an optional embodiment of the present invention, Figure 1 and Figure 2 As shown, the shooting module is a snapshot camera, and step S20 includes:

[0061] Step S201: Setting a capture device at a preset geographical location and establishing a first correspondence between the capture device and the geographical location;

[0062] The first correspondence between the camera and the geographic location is preferably a one-to-one correspondence between the camera and the geographic location. Furthermore, it should be noted that the geographic location where the camera is set should cover all nodes in the various shipping processes of the present invention to ensure accurate and timely monitoring and management of the entire vehicle shipping process. Those skilled in the art can flexibly select the preset geographic location based on the actual conditions of the shipping area, and this is not limited here.

[0063] For example, a vehicle needs to be loaded with a certain weight of raw coal at the shipping yard. The normal process path is entry - empty vehicle weighing - raw coal silo loading - raw coal pre-weighing - raw coal heavy vehicle weighing - departure. Therefore, a shooting module is installed at the location of a certain matter or link in the execution process of the shipping yard, such as import, scale 1, silo, scale 2, scale 3, and export, to identify the location node corresponding to the vehicle's current geographical location.

[0064] Step S202: Acquire images of the vehicle at each node through a capture camera, where one node corresponds to one or more capture cameras;

[0065] Step S203: determining the corresponding capture device according to the image received at the current moment, and determining the current geographical location of the vehicle according to the first corresponding relationship;

[0066] Step S204: extracting features from the image to identify the license plate number of the vehicle entering the shipping area.

[0067] The feature extraction method used in step S204 is a feature extraction method in the prior art, and those skilled in the art may select the method according to actual needs, which is not limited here.

[0068] In step S202, to facilitate rapid search for each node's image, a node image storage unit with a unique ID is created for each node, and the image captured by the corresponding camera is stored in the corresponding node image storage unit. Furthermore, after step S204, node image storage subunits can be created within the node image storage unit based on the vehicle's license plate number, thereby categorizing and storing images of different vehicles. This facilitates subsequent image search and use, improving efficiency.

[0069] Step S30: determining the cargo type corresponding to the vehicle and the target shipping process node set corresponding to the cargo type according to the license plate number, and generating a corresponding target path based on the target shipping process node set;

[0070] In step S30, the cargo type corresponding to the vehicle and the target shipping process node set corresponding to the cargo type are pre-configured by relevant personnel of the shipping site through the platform configuration interface of the device or system that applies the vehicle shipping process management method of the present invention. For example, the cargo type corresponding to the vehicle and the target shipping process node set corresponding to the cargo type can be determined based on the delivery note, bill of lading, contract, etc.

[0071] In an optional embodiment of the present invention, Figure 3 As shown, step S30 further includes:

[0072] Step S301: Determine the cargo type corresponding to the vehicle based on the license plate number;

[0073] Step S302: Select target nodes from the shipping process node set according to the cargo type to form a target shipping process node set;

[0074] The target shipping process node set is a set of nodes (i.e., target nodes) selected from the shipping process node set based on cargo type. For example, taking a coal yard as the shipping area, the nodes in the shipping process node set may include entry, empty car weighing, raw coal silo loading, raw coal heavy car pre-weighing, raw coal heavy car weighing, departure, raw coal transfer unloading, empty car weighing after transfer, clean coal silo, and clean coal transfer area. Those skilled in the art may configure the nodes in the shipping process node set based on actual needs, and this is not limited here.

[0075] Step S303: Select a corresponding target association relationship from preset node association relationships according to the cargo type; wherein the node association relationship is pre-set according to the cargo type, and those skilled in the art can flexibly set it according to actual needs, which is not limited here.

[0076] Step S304: Generate a corresponding target path based on the target shipping process node set and the target association relationship.

[0077] Optionally, step S304 further includes:

[0078] According to the target association relationship, the target nodes in the target shipping process node set are numbered in sequence;

[0079] The numbered target nodes are connected in sequence to generate corresponding target paths.

[0080] Taking the coal yard as an example, the target path generated in step S304 is: entering the yard (11) - weighing the empty car (12) - loading the raw coal silo (13) - pre-weighing the raw coal heavy car (16) - weighing the raw coal heavy car (17) - leaving the yard (18).

[0081] In this optional implementation, according to the target association relationship, the target nodes in the target shipping process node set are numbered in sequence, and the numbered target nodes are connected in sequence to generate corresponding target paths. This can simplify the comparison process of the updated target path and the target path, that is, only the numbers and the association relationship of the numbers (such as the connection order) need to be compared to complete the verification and determine whether the shipping behavior of the vehicle in the shipping area is normal.

[0082] It should be noted that a vehicle may have one or more tasks. When a vehicle has multiple tasks, such as a primary task + secondary task + temporary task, a primary task + secondary task, or a primary task + temporary task, the target path generated based on the target shipping process node set is not unique. Taking the coal yard as an example of transferring silo coal in the shipping area, the types of target paths generated may include: entering the yard (11) - weighing an empty car (12) - loading coal into the raw coal silo (13) - unloading coal in the raw coal transfer area (14) - weighing an empty car after transfer (15) - loading coal into the raw coal silo (13) - pre-weighing of a raw coal heavy car (16) - weighing of a raw coal heavy car (17) - leaving the yard (18); entering the yard (11) - weighing an empty car (12) - clean coal silo (23) - clean coal transfer area (24) - weighing an empty car (12) - loading coal into the raw coal silo (13) - pre-weighing of a raw coal heavy car (16) - weighing of a raw coal heavy car (17) - leaving the yard (18). Those skilled in the art can flexibly set the number of tasks according to actual needs, and this is not limited here.

[0083] Step S40: according to the current geographical location of the vehicle, search for the corresponding location node in the target shipping process node set, and update the target path in real time according to the location node;

[0084] In an optional embodiment, searching for a corresponding location node in the target shipping process node set based on the current geographical location of the vehicle in step S40 includes:

[0085] Based on the vehicle's current geographic location and the correspondence between nodes and geographic locations in each shipping process, search for a candidate node corresponding to the current geographic location in the target shipping process node set;

[0086] If there is only one candidate node, determine it as the location node corresponding to the current geographical location;

[0087] If there are multiple candidate nodes, the location node corresponding to the current geographical location is selected from the candidate nodes based on the association relationship and priority relationship between the previous location node and each candidate node.

[0088] In another optional embodiment, searching for a corresponding location node in the target shipping process node set based on the current geographical location of the vehicle in step S40 includes:

[0089] Based on the vehicle's current geographic location and the correspondence between nodes and geographic locations in each shipping process, search for a candidate node corresponding to the current geographic location in the target shipping process node set;

[0090] If there is only one candidate node, determine it as the location node corresponding to the current geographical location;

[0091] If there are multiple candidate nodes, extract the current image captured by the camera in the target path corresponding to the candidate node, and calculate the number of vehicles in the target path corresponding to the candidate node based on the current image;

[0092] If the number of vehicles is greater than or equal to the preset number, the corresponding candidate nodes are eliminated to obtain the remaining candidate nodes;

[0093] If there is only one candidate node left, determine it as the location node corresponding to the current geographical location;

[0094] If there are multiple candidate nodes remaining, the location node corresponding to the current geographical location is selected from the remaining candidate nodes based on the association relationship and priority relationship between the previous location node and each remaining candidate node.

[0095] In the present invention, those skilled in the art can flexibly set the priority relationship between nodes according to actual needs, and no limitation is made here. One optional way is to set the priority relationship according to the priority of the tasks, such as the priority of the node in the target path where the main task is located is higher than the priority of the node in the target path where the secondary task and / or temporary task is located, and the priority of the node in the target path where the secondary task is located is higher than the priority of the node in the target path where the temporary task is located. Alternatively, the priority can be determined by the distance between the current geographical location and the candidate node.

[0096] The vehicle dispatch process management method of the present invention is highly flexible and can display the process paths of each vehicle within the dispatch plant in real time, reflecting the vehicle's task execution process and progress. This allows for refined management such as data statistics and vehicle scheduling based on the vehicle's task execution status. Furthermore, by real-time monitoring of the actual process paths of vehicles executing dispatch tasks within the dispatch plant, refined management such as dispatch progress data statistics, categorized display, and vehicle scheduling can be supported.

[0097] Step S50: Marking the route on the preset shipping site map according to the updated target route, generating a site information package including site map information, and sending the package to the target application;

[0098] The shipping area map can be generated by those skilled in the art using existing methods, which are not limited herein. Specifically, images of the shipping area can be pre-captured using a camera module, and the captured images can be spliced to generate the shipping area map.

[0099] The target application may be a map navigation application installed in a mobile phone or a car navigation system, and is not limited here.

[0100] Step S60: The target application generates a site map based on the site map information or adds the site map information to the original map information to generate a new extended map according to a preset map fusion method to provide vehicle process guidance.

[0101] The map fusion method is a map fusion method in the prior art, and those skilled in the art can select it according to actual needs, and it is not limited here. For example, a map splicing technology in the prior art is selected to fuse the site map.

[0102] In the present invention, Figure 4 As shown, according to the current geographic location of the vehicle, after searching for a corresponding location node in the target shipping process node set and updating the target path in real time according to the location node, the method of the present invention further includes:

[0103] Step S51: Compare the updated target path with the target path to check whether the vehicle process is abnormal;

[0104] Specifically, step S51 may include: comparing the updated target path with the target path; if the updated target path is different from the target path, determining that the vehicle process is abnormal and generating an abnormal result; if the updated target path is the same as the target path, determining that the vehicle process is normal.

[0105] Step S61: Generate a field information package including abnormal alarm information according to the abnormal result to issue an alarm.

[0106] Among them, the alarm method can be selected by those skilled in the art according to actual needs, and is not limited here. For example, the site information including abnormal alarm information is sent to the management personnel and / or vehicle drivers of the relevant shipping site for alarm, and / or the alarm is directly displayed on the platform interactive interface of the device or system that applies the vehicle shipping process management method of the present invention, and / or a sound alarm is issued through the broadcast module of the platform. In this way, the purpose of supervising vehicle shipping behaviors, such as stealing coal for coal and other abnormal behaviors, can be achieved, thereby reducing economic losses during the shipping process.

[0107] The vehicle shipping process management method provided by the present invention configures the correspondence between nodes and geographic locations in each shipping process; obtains an image of the vehicle at each node, and determines the vehicle's current geographic location and license plate number based on the image; determines the type of cargo corresponding to the vehicle and its corresponding target shipping process node set based on the license plate number, and generates a target path based on the image; searches for the corresponding location node in the target shipping process node set based on the current geographic location, and updates the target path in real time based on the location node; marks the path on the shipping site map based on the updated target path, and generates a site information package including site map information; the target application generates a site map based on the site map information or adds the site map information to the original map information according to a map fusion method to generate a new extended map for vehicle process guidance. The vehicle shipping process management method provided by the present invention can improve the accuracy, timeliness, and reliability of vehicle shipping behavior supervision, effectively prevent the occurrence of cheating behaviors such as stealing and exchanging goods, and can generate a site map to guide users to the correct process path, thereby improving shipping efficiency.

[0108] It should be noted that, in the present invention, “a plurality” includes two or more. Figures 1-4 The methods shown can be applied individually or in combination. Those skilled in the art can select the method according to actual needs, and no limitation is made here.

[0109] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0110] Based on the same inventive concept, embodiments of the present invention further provide a vehicle shipping process management device for implementing the aforementioned vehicle shipping process management method. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more vehicle shipping process management device embodiments provided below can be found in the aforementioned limitations of the vehicle shipping process management method and will not be further elaborated here.

[0111] like Figure 5aAs shown, the vehicle shipping process management device of the present invention includes: a shooting module 50, a configuration module 51, a path generation module 52, a regional information generation module 53 and an information receiving module 54; wherein,

[0112] The camera module 50 is used to obtain images of the vehicle at each node;

[0113] Configuration module 51, used to configure the correspondence between nodes and geographical locations in each shipping process;

[0114] The path generation module 52 is connected to the shooting module 50 and the configuration module 51 respectively, and is used to determine the current geographic location and license plate number of the vehicle based on the image; determine the type of cargo corresponding to the vehicle and the target shipping process node set corresponding to the cargo type based on the license plate number, and generate a corresponding target path based on the target shipping process node set; and search for a corresponding location node in the target shipping process node set based on the current geographic location of the vehicle, and update the target path in real time based on the location node;

[0115] The region information generation module 53 is connected to the path generation module 52 and is used to mark the path on the preset shipping site map according to the updated target path, generate a site information package including site map information, and send it to the target application;

[0116] The information receiving module 54 is connected to the regional information generating module 53 and is used by the target application to generate a site map based on the site map information or to add the site map information to the original map information to generate a new extended map according to a preset map fusion method for vehicle process guidance.

[0117] In an optional embodiment of the present invention, Figure 5b As shown, the device of the present invention also includes: an alarm reminder module 55, which is respectively connected to the path generation module 52 and the information receiving module 54, and is used to compare the updated target path with the target path to verify whether the vehicle process is abnormal; according to the abnormal result, a field information package including abnormal alarm information is generated to issue an alarm.

[0118] Among them, the alarm reminder module 55 is specifically used to compare the updated target path with the target path to verify whether the vehicle process is abnormal, including: comparing the updated target path with the target path; if the updated target path is different from the target path, it is determined that the vehicle process is abnormal and an abnormal result is generated; if the updated target path is the same as the target path, it is determined that the vehicle process is normal.

[0119] Optionally, the path generation module 52 determines the cargo type corresponding to the vehicle and the target shipping process node set corresponding to the cargo type according to the license plate number, and generates the corresponding target path based on the target shipping process node set, including: determining the cargo type corresponding to the vehicle according to the license plate number; selecting target nodes from the shipping process node set to form a target shipping process node set according to the cargo type; selecting corresponding target association relationships from preset node association relationships according to the cargo type; and generating the corresponding target path based on the target shipping process node set and the target association relationship.

[0120] Among them, generating a corresponding target path based on the target shipping process node set and the target association relationship includes: sequentially adding numbers to the target nodes in the target shipping process node set according to the target association relationship; and sequentially connecting the numbered target nodes to generate a corresponding target path.

[0121] Optionally, the path generation module 52 searches for a corresponding location node in the target shipping process node set based on the current geographic location of the vehicle, specifically including: searching for a candidate node corresponding to the current geographic location in the target shipping process node set based on the current geographic location of the vehicle and the correspondence between the nodes and the geographic locations in each shipping process; if there is one candidate node, determining it as the location node corresponding to the current geographic location; if there are multiple candidate nodes, selecting the location node corresponding to the current geographic location from the candidate nodes based on the association relationship and priority relationship between the previous location node and each candidate node.

[0122] Optionally, the path generation module 52 searches for a corresponding location node in the target shipping process node set based on the current geographic location of the vehicle, including: searching for a candidate node corresponding to the current geographic location in the target shipping process node set based on the current geographic location of the vehicle and the correspondence between the nodes and the geographic locations in each shipping process; if there is one candidate node, determine it as the location node corresponding to the current geographic location; if there are multiple candidate nodes, extract the current image taken by the shooting device in the target path corresponding to the candidate node, and calculate the number of vehicles in the target path corresponding to the candidate node based on the current image; if the number of vehicles is greater than or equal to a preset number, eliminate the corresponding candidate node to obtain the remaining candidate nodes; if there is one remaining candidate node, determine it as the location node corresponding to the current geographic location; if there are multiple remaining candidate nodes, select the location node corresponding to the current geographic location from the remaining candidate nodes based on the association relationship and priority relationship between the previous location node and each remaining candidate node.

[0123] Optionally, the shooting module is a capture camera, and the path generation module 52 determines the current geographic location and license plate number of the vehicle based on the image, specifically including: setting a capture camera at a preset geographic location, and establishing a first correspondence between the capture camera and the geographic location; obtaining an image of the vehicle at each node through the capture camera, where one node corresponds to one or more capture cameras; determining the corresponding capture camera based on the image received at the current moment, and determining the current geographic location of the vehicle based on the first correspondence; and performing feature extraction on the image to identify the license plate number of the vehicle entering the shipping area.

[0124] The vehicle shipping process management device provided by the present invention has the following characteristics: after the shooting module obtains the image of the vehicle at each node and the configuration module configures the correspondence between the node and the geographical location in each shipping process, the path generation module determines the current geographical location and license plate number of the vehicle based on the image, determines the cargo type corresponding to the vehicle and the target shipping process node set corresponding to the cargo type based on the license plate number, and generates a corresponding target path based on the target shipping process node set, and searches for the corresponding location node in the target shipping process node set based on the current geographical location of the vehicle, and updates the target path in real time based on the location node; the area information generation module marks the path on the preset shipping site map based on the updated target path, generates a site information package including site map information, and sends it to the target application; the information receiving module calls the target application to generate a site map based on the site map information or adds the site map information to the original map information to generate a new extended map based on a preset map fusion method to provide vehicle process guidance. The vehicle shipping process management device provided by the present invention can improve the accuracy, timeliness and reliability of vehicle shipping behavior supervision, effectively prevent the occurrence of cheating behaviors such as stealing and exchanging goods, and can generate a site map to guide users to the correct process path, thereby improving shipping efficiency.

[0125] Each module in the vehicle dispatch process management device can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a computer device memory in the form of software, so that the processor can call and execute the corresponding operations of each module.

[0126] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 6As shown. The computer device includes a processor, a memory and a network interface connected via a system bus. 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, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data required or generated for executing the above-mentioned vehicle shipping process management method. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a vehicle shipping process management method is implemented.

[0127] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 6 As shown. The computer device includes a processor, memory, a communication interface, a display screen, and an input device connected via a system bus. 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 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 computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal via wired or wireless communication. The wireless communication can be achieved via Wi-Fi, a mobile cellular network, NFC (near-field communication), or other technologies. When executed by the processor, the computer program implements a vehicle shipping process management method. The display screen of the computer device can be a liquid crystal display or an electronic ink display. The input device of the computer device can be a touch layer covering the display screen, or keys, a trackball, or a touchpad provided on the computer device housing, or an external keyboard, touchpad, or mouse.

[0128] Those skilled in the art will understand that Figure 6 The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present invention and does not constitute a limitation on the computer device to which the solution of the present invention is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0129] In one embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0130] 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.

[0131] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0132] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in the present invention are all information and data authorized by the user or fully authorized by all parties.

[0133] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing the relevant hardware using a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the above-described method embodiments. Any reference to memory, database, or other media used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), quantum computing-based data processing logic devices, and the like.

[0134] The technical features of the above embodiments can 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.

[0135] The above-described embodiments merely illustrate several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous modifications and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

Claims

1. A vehicle shipping process management method, characterized in that: The method comprises: Configure the correspondence between nodes and geographical locations in each shipping process; The camera module captures images of the vehicle at each node and determines the vehicle's current geographic location and license plate number based on the images; Determine the cargo type corresponding to the vehicle and the target shipping process node set corresponding to the cargo type based on the license plate number, and generate the corresponding target path based on the target shipping process node set; According to the current geographical location of the vehicle, the corresponding location node is found in the target shipping process node set, and the target path is updated in real time based on the location node; Marking the route on a preset shipping site map according to the updated target route, generating a site information package including site map information, and sending the package to the target application; The target application generates a site map based on the site map information or adds the site map information to the original map information to generate a new extended map according to a preset map fusion method to provide vehicle process guidance.

2. The method according to claim 1, characterized in that After searching for a corresponding location node in the target shipping process node set based on the current geographic location of the vehicle and updating the target path in real time based on the location node, the method further includes: Compare the updated target path with the target path to verify whether the vehicle process is abnormal; Based on the abnormal results, a field information package including abnormal alarm information is generated to issue an alarm.

3. The method according to claim 1, characterized in that The determining of the cargo type corresponding to the vehicle and the target shipping process node set corresponding to the cargo type according to the license plate number, and generating the corresponding target path based on the target shipping process node set, includes: Determine the type of cargo corresponding to the vehicle based on the license plate number; According to the cargo type, a target node is selected from the shipping process node set to form a target shipping process node set; According to the cargo type, select the corresponding target relationship from the preset node relationships; Generate the corresponding target path based on the target shipping process node set and target association relationship.

4. The method according to claim 1, wherein The step of searching for a corresponding location node in a target shipping process node set based on the vehicle's current location includes: Based on the vehicle's current geographic location and the correspondence between nodes and geographic locations in each shipping process, search for a candidate node corresponding to the current geographic location in the target shipping process node set; If there is only one candidate node, determine it as the location node corresponding to the current geographical location; If there are multiple candidate nodes, the location node corresponding to the current geographical location is selected from the candidate nodes based on the association relationship and priority relationship between the previous location node and each candidate node.

5. The method according to claim 1, wherein The step of searching for a corresponding location node in a target shipping process node set based on the vehicle's current location includes: Based on the vehicle's current geographic location and the correspondence between nodes and geographic locations in each shipping process, search for a candidate node corresponding to the current geographic location in the target shipping process node set; If there is only one candidate node, determine it as the location node corresponding to the current geographical location; If there are multiple candidate nodes, extract the current image captured by the camera in the target path corresponding to the candidate node, and calculate the number of vehicles in the target path corresponding to the candidate node based on the current image; If the number of vehicles is greater than or equal to the preset number, the corresponding candidate nodes are eliminated to obtain the remaining candidate nodes; If there is only one candidate node left, determine it as the location node corresponding to the current geographical location; If there are multiple candidate nodes remaining, the location node corresponding to the current geographical location is selected from the remaining candidate nodes based on the association relationship and priority relationship between the previous location node and each remaining candidate node.

6. The method according to claim 1, characterized in that The shooting module is a camera that captures images of the vehicle at each node and determines the vehicle's current geographic location and license plate number based on the images, including: Setting a capture machine at a preset geographical location to establish a first correspondence between the capture machine and the geographical location; The images of the vehicle at each node are acquired through a camera, where one node corresponds to one or more cameras; Determine the corresponding capture device according to the image received at the current moment, and determine the current geographical location of the vehicle according to the first corresponding relationship; Feature extraction is performed on the image to identify the license plate numbers of vehicles entering the shipping area.

7. A vehicle shipping process management device, characterized in that: The device includes: a shooting module, a configuration module, a path generation module, a region information generation module and an information receiving module; wherein, A shooting module is used to obtain images of the vehicle at each node; Configuration module, used to configure the correspondence between nodes and geographical locations in each shipping process; The path generation module is connected to the capture module and the configuration module, and is used to determine the vehicle's current geographic location and license plate number based on the image; determine the type of cargo corresponding to the vehicle and the target shipping process node set corresponding to the cargo type based on the license plate number, and generate the corresponding target path based on the target shipping process node set; and, based on the vehicle's current geographic location, search the target shipping process node set for the corresponding location node and update the target path in real time based on the location node. The region information generation module is connected to the path generation module and is used to mark the path on the preset shipping site map according to the updated target path, generate a site information package including site map information, and send it to the target application; The information receiving module is connected to the regional information generating module, and is used by the target application to generate a site map based on the site map information or to add the site map information to the original map information to generate a new extended map according to a preset map fusion method to provide vehicle process guidance.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, 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 6 are implemented.

10. A computer program product comprising a computer program, 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 6 are implemented.

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