Logistics flat cable verification method, device and equipment based on digital twinning and medium

Through digital twin technology, the virtual simulation platform is built to simulate the actual operation of logistics cable planning, solving the problem of long on-site verification cycle and achieving efficient logistics cable verification.

CN120235533APending Publication Date: 2025-07-01SF TECH CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202311870078.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-12-30
Publication Date
2025-07-01

AI Technical Summary

Technical Problem

The existing logistics line verification methods rely on on-site verification, resulting in long verification cycles, limited geographical locations and low efficiency.

Method used

Digital twin technology is used to build a virtual simulation platform to simulate the actual operation of logistics wiring plans, and verify the effectiveness of logistics wiring plans through simulation operation results.

Benefits of technology

No on-site verification is required, which significantly improves the efficiency of logistics line verification and ensures the accuracy and reliability of verification results.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN120235533A_ABST
    Figure CN120235533A_ABST
Patent Text Reader

Abstract

The invention relates to a logistics wiring verification method, device and equipment based on digital twinning and a medium, and relates to the technical field of human-based digital twinning. The method comprises the following steps: in response to a logistics wire arrangement verification instruction, obtaining a logistics wire arrangement plan corresponding to the logistics wire arrangement verification instruction; inputting the logistics wiring plan into a pre-established digital twin platform, and performing simulation operation to obtain a simulation operation result; the digital twinborn platform is a virtual simulation platform built in advance based on a real logistics wiring service; based on the simulation operation result, verifying the logistics wiring plan to obtain a wiring verification result corresponding to the logistics wiring plan; the wiring verification result is used for the actual operation effect of the logistics wiring plan. By adopting the method, the efficiency of logistics wiring verification based on digital twinning can be improved.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] This application relates to the field of digital twin technology, and in particular, to a logistics cable layout verification method, device, equipment, and medium based on digital twin. Background Art

[0002] In the logistics industry, logistics cable layout refers to the transportation plan of vehicles on a certain route within a certain period of time. A reasonable logistics cable layout plan is very important for improving logistics efficiency.

[0003] Currently, each logistics cable layout plan needs to be verified before it can be put into actual operation. Usually, on-site verification is used for verification. However, the cycle of this verification method is too long and there are certain geographical limitations, resulting in low efficiency of current logistics cable layout verification. Summary of the Invention

[0004] Based on this, in view of the above technical problems, it is necessary to provide a logistics cable layout verification method, device, computer equipment, computer-readable storage medium, and computer program product based on digital twin that can improve the verification efficiency of logistics cable layout.

[0005] In a first aspect, this application provides a logistics cable layout verification method based on digital twin. The method includes: in response to a logistics cable layout verification instruction, obtaining a logistics cable layout plan corresponding to the logistics cable layout verification instruction; inputting the logistics cable layout plan into a pre-built digital twin platform for simulation operation to obtain a simulation operation result; the digital twin platform refers to a virtual simulation platform pre-built based on real logistics cable layout operations; based on the simulation operation result, verifying the logistics cable layout plan to obtain a cable layout verification result corresponding to the logistics cable layout plan; the cable layout verification result is used for the actual operation effect of the logistics cable layout plan.

[0006] In a second aspect, this application also provides a logistics cable layout verification device based on digital twin. The device includes: a cable layout plan acquisition module for obtaining a logistics cable layout plan corresponding to the logistics cable layout verification instruction in response to the logistics cable layout verification instruction; a simulation operation module for inputting the logistics cable layout plan into a pre-built digital twin platform for simulation operation to obtain a simulation operation result; the digital twin platform refers to a virtual simulation platform pre-built based on real logistics cable layout operations; a verification module for verifying the logistics cable layout plan based on the simulation operation result to obtain a cable layout verification result corresponding to the logistics cable layout plan; the cable layout verification result is used for the actual operation effect of the logistics cable layout plan.

[0007] In a third aspect, the present application also provides a computer device. The computer device includes a memory and a processor. The memory stores a computer program. When the processor executes the computer program, the following steps are implemented: in response to a logistics cable arrangement verification instruction, obtain a logistics cable arrangement plan corresponding to the logistics cable arrangement verification instruction; input the logistics cable arrangement plan into a pre-built digital twin platform for simulation operation to obtain a simulation operation result; the digital twin platform refers to a virtual simulation platform pre-built based on real logistics cable arrangement operations; based on the simulation operation result, verify the logistics cable arrangement plan to obtain a cable arrangement verification result corresponding to the logistics cable arrangement plan; the cable arrangement verification result is used for the actual operation effect of the logistics cable arrangement plan.

[0008] In a fourth aspect, the present application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the following steps are implemented: in response to a logistics cable arrangement verification instruction, obtain a logistics cable arrangement plan corresponding to the logistics cable arrangement verification instruction; input the logistics cable arrangement plan into a pre-built digital twin platform for simulation operation to obtain a simulation operation result; the digital twin platform refers to a virtual simulation platform pre-built based on real logistics cable arrangement operations; based on the simulation operation result, verify the logistics cable arrangement plan to obtain a cable arrangement verification result corresponding to the logistics cable arrangement plan; the cable arrangement verification result is used for the actual operation effect of the logistics cable arrangement plan.

[0009] In a fifth aspect, the present application also provides a computer program product. The computer program product includes a computer program. When the computer program is executed by a processor, the following steps are implemented: in response to a logistics cable arrangement verification instruction, obtain a logistics cable arrangement plan corresponding to the logistics cable arrangement verification instruction; input the logistics cable arrangement plan into a pre-built digital twin platform for simulation operation to obtain a simulation operation result; the digital twin platform refers to a virtual simulation platform pre-built based on real logistics cable arrangement operations; based on the simulation operation result, verify the logistics cable arrangement plan to obtain a cable arrangement verification result corresponding to the logistics cable arrangement plan; the cable arrangement verification result is used for the actual operation effect of the logistics cable arrangement plan.

[0010] The above-mentioned method, device, computer equipment, computer-readable storage medium and computer program product for verifying logistics cable laying based on digital twin first respond to a logistics cable laying verification instruction, obtain a logistics cable laying plan corresponding to the logistics cable laying verification instruction, and then input the logistics cable laying plan into a pre-built digital twin platform. The digital twin platform refers to a virtual simulation platform pre-built based on real logistics cable laying operations, that is, the digital twin platform is tailored to the actual application scenario. Therefore, the digital twin platform can simulate the actual operation of the logistics cable laying plan. By simulating the operation of the logistics cable laying plan on the digital twin platform, accurate and reliable simulation operation results can be obtained. Thus, based on the simulation operation results, the actual operation effect of the logistics cable laying plan can be verified without the need for on-site verification, thereby improving the efficiency of logistics cable laying verification. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 FIG. is a schematic diagram of an application scenario of a method for verifying logistics cable laying based on digital twin in an embodiment;

[0012] Figure 2 FIG. is a schematic flowchart of a method for verifying logistics cable laying based on digital twin in an embodiment;

[0013] Figure 3 FIG. is a schematic flowchart of building a digital twin platform in an embodiment;

[0014] Figure 4 FIG. is a schematic diagram of an actual business process in an embodiment;

[0015] Figure 5 FIG. is a schematic flowchart of fidelity optimization in an embodiment;

[0016] Figure 6 FIG. is a schematic flowchart of adjusting fidelity parameters in an embodiment;

[0017] Figure 7 FIG. is a schematic flowchart of establishing a mechanism model and a data model in an embodiment;

[0018] Figure 8 FIG. is another schematic flowchart of a method for verifying logistics cable laying based on digital twin in an embodiment;

[0019] Figure 9 FIG. is yet another schematic flowchart of a method for verifying logistics cable laying based on digital twin in an embodiment;

[0020] Figure 10 FIG. is a structural block diagram of a device for verifying logistics cable laying based on digital twin in an embodiment;

[0021] Figure 11 FIG. is an internal structure diagram of a computer device in an embodiment. Detailed implementation manners

[0022] In order to make the objectives, technical solutions and advantages of the present application clearer and more understandable, the present application 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 application and are not used to limit the present application.

[0023] In the logistics industry, logistics line arrangement refers to the transportation plan of vehicles on a certain route within a certain period of time. For example, vehicles travel from a network point to a transfer station, from a transfer station to another transfer station, or from a transfer station to a network point. To achieve more economical and efficient express delivery transportation, it is very necessary to formulate a reasonable logistics line arrangement plan to direct the operation of vehicles.

[0024] Before the implementation of the logistics line arrangement plan, it is necessary to verify the plan to avoid accidents during actual operation. Currently, on-site verification is usually carried out. However, the cycle of this verification method is too long, generally taking one to two weeks, which affects the efficiency of verifying the logistics line arrangement plan.

[0025] In recent years, digital twin technology has received extensive attention and application. Digital twin technology is a technology that fully combines physical models, sensor updates, historical and real-time data to closely connect the physical world and the virtual world. Therefore, the present application proposes a logistics line arrangement verification method based on digital twins, which uses a digital twin platform that approximates the real logistics line arrangement scenario to verify the logistics line arrangement plan, eliminating the need for on-site verification, thereby improving the efficiency of verifying the logistics line arrangement plan.

[0026] The logistics line arrangement verification method based on digital twins provided by the embodiments of the present disclosure can be applied to the application environment as Figure 1 shown. It includes a server 102, a terminal 104, and a digital twin platform 106. The server 102 communicates with the terminal 104, and the server 102 is connected to the digital twin platform 106. Specifically, in response to a logistics line arrangement verification instruction initiated by the terminal 104, the server 102 obtains the logistics line arrangement plan corresponding to the logistics line arrangement verification instruction, and inputs the logistics line arrangement plan into the pre-built digital twin platform 106 for simulation operation to obtain a simulation operation result. The digital twin platform 106 refers to a virtual simulation platform pre-built based on real logistics line arrangement operations. Finally, based on the simulation operation result, the logistics line arrangement plan is verified to obtain a line arrangement verification result corresponding to the logistics line arrangement plan, and the line arrangement verification result is used to verify the actual operation effect of the logistics line arrangement plan. Among them, the server 102 can be implemented by an independent server or a server cluster composed of multiple servers, and the terminal 104 can be, but is not limited to, various desktop computers, laptop computers, smart phones, tablet computers, and Internet of Things devices.

[0027] In one embodiment, as Figure 2As shown, a logistics cable layout verification method based on digital twin is provided. Taking the server 102 in Figure 1 as an example, the method includes the following steps:

[0028] Step S202: In response to the logistics cable layout verification instruction, obtain the logistics cable layout plan corresponding to the logistics cable layout verification instruction.

[0029] Among them, the logistics cable layout verification instruction can be an instruction to verify the logistics cable layout plan. The logistics cable layout plan can refer to the cable layout plan that needs to be verified, and the logistics cable layout plan can include transportation vehicles, transportation routes, transportation sites, transportation times, transportation express information, etc.

[0030] Specifically, the server responds to the logistics cable layout verification instruction sent by the terminal and obtains the logistics cable layout plan to be verified carried by the logistics cable layout verification instruction, so as to facilitate the subsequent simulation operation of the logistics cable layout plan in the digital twin platform.

[0031] Step S204: Input the logistics cable layout plan into the pre-built digital twin platform for simulation operation to obtain the simulation operation result; the digital twin platform refers to a virtual simulation platform pre-built based on the real logistics cable layout business.

[0032] Among them, the simulation operation result can refer to the result obtained by the simulation operation of the logistics cable layout plan on the digital twin platform, and can include vehicle simulation results, line simulation results and execution situation simulation results. In order to distinguish from the target simulation result of the real cable layout plan in step S602, subsequently, vehicle results are used to replace the description of the vehicle simulation results corresponding to the logistics cable layout plan, line results are used to replace the description of the line simulation results corresponding to the logistics cable layout plan, and execution situation is used to replace the description of the execution situation simulation results corresponding to the logistics cable layout plan. The vehicle results can include vehicle loading rate, vehicle loading behavior, vehicle unloading behavior. The line results can include line stops. The execution situation can include the task execution result under the temporary task, and the temporary task can be the task of adding a vehicle temporarily. The real logistics cable layout business can refer to the actual business process when the logistics cable layout plan is implemented in the real environment.

[0033] Specifically, after the server obtains the logistics cable routing plan, it inputs the logistics cable routing plan into the pre-built digital twin platform. The digital twin platform is a virtual simulation platform built one-to-one based on the actual business processes during the implementation of the logistics cable routing plan in the real environment. It contains virtual business processes that are exactly the same as the actual business processes and can realistically simulate the implementation process of the logistics cable routing plan, so as to quickly discover design problems in the logistics cable routing plan, thereby avoiding the inability to implement it or affecting other logistics cable routing plans during actual use. While improving the verification efficiency of the logistics cable routing plan, it can also effectively avoid subsequent logistics accidents. After the digital twin platform finishes the simulation operation, it can generate the simulation operation results corresponding to the logistics cable routing plan, namely vehicle results, line results, and execution status.

[0034] Step S206: Based on the simulation operation results, verify the logistics cable routing plan to obtain the cable routing verification result corresponding to the logistics cable routing plan; the cable routing verification result is used to verify the actual operation effect of the logistics cable routing plan.

[0035] Among them, the cable routing verification result can include vehicle verification result, line verification result, and execution status verification result.

[0036] Specifically, the server can obtain the simulation operation results generated by the digital twin platform, and thus verify according to the simulation operation results to obtain the corresponding cable routing verification result. For example, the server can verify the loading rate of the vehicle and whether the vehicle can perform normal loading and unloading of goods based on the vehicle results. It can also verify the line situation based on the line results, such as whether the number of lines meets the requirements, whether the line arrangement is reasonable, whether the line is suitable for each vehicle, and whether the line will affect the currently executing logistics cable routing plan. It can also verify the impact of the temporary task on the entire logistics cable routing plan and whether the temporary task can be effectively executed based on the execution status. Since the business processes simulated in the digital twin platform are consistent with the business processes in the real environment, the cable routing verification results obtained by verifying the logistics cable routing based on the simulation operation results of the digital twin platform can be used to represent the actual operation effect of the logistics cable routing plan.

[0037] In this embodiment, the server responds to a logistics cable routing verification instruction, obtains a logistics cable routing plan corresponding to the logistics cable routing verification instruction, and then inputs the logistics cable routing plan into a pre-built digital twin platform. The digital twin platform refers to a virtual simulation platform pre-built based on real logistics cable routing operations, that is, the digital twin platform is tailored to the actual application scenario. Therefore, the digital twin platform can simulate the actual operation of the logistics cable routing plan. Simulating the operation of the logistics cable routing plan on the digital twin platform can obtain accurate and reliable simulation operation results, thereby verifying the actual operation effect of the logistics cable routing plan based on the simulation operation results without the need for on-site verification, thus improving the efficiency of logistics cable routing verification.

[0038] In one embodiment, as Figure 3 shown, before the step of responding to the logistics cable routing verification instruction, the method further includes:

[0039] Step S302, in response to a construction instruction for the digital twin platform, obtain the actual business data corresponding to the real logistics cable routing operation.

[0040] Wherein, the construction instruction refers to an instruction to build the digital twin platform. The real logistics cable routing operation may refer to the actual business process during the implementation of the logistics cable routing plan in the real environment. The actual business data may refer to the data involved in the real logistics cable routing operation, which may include express data, vehicle data, site data, route data, historical vehicle routing data, and historical cable routing plan data. The actual business data can be used for the construction of the business model.

[0041] In one embodiment, the express data may include data such as express type, sending network point, transportation destination, express specification, etc., the vehicle data may include data such as vehicle type, license plate number, vehicle age, driver, etc., the site data may include the geographical location of the transfer yard, the geographical location of the network point, the shift information corresponding to the transfer yard and the network point respectively, etc., the route data may include the time taken by the vehicle during transportation between each network point and each transfer yard, the historical vehicle routing data may include the historical data of the actual transportation of the vehicle, which may include the vehicle speed, the driving habits of the vehicle driver, etc., and the historical cable routing plan data includes the historical logistics cable routing plan.

[0042] For example, referring to Figure 4 , the actual business process may include performing vehicle scheduling according to the vehicle packages arranged daily, the vehicle packages directly transporting the express from network point A to transfer yard 1, and then transporting from transfer yard 1 to network points B and C through tandem transportation. The vehicle scheduling is performed by the vehicles arranged according to the planned daily demand, and the planned daily demand is formulated by the cable routing plan administrator. The above business process can be simulated and run on the digital twin platform.

[0043] Specifically, when the server receives the instruction to build the digital twin platform, it can first obtain the real logistics cable laying business, that is, the actual business process during the implementation of the logistics cable laying plan in the real environment, such as vehicle scheduling and the transportation of express parcels by vehicles between outlets and transfer stations. Then, it obtains the business data involved in these actual business processes, including but not limited to express parcel data, vehicle data, site data, line data, historical vehicle routing data, and historical cable laying plan data.

[0044] Step S304: Based on the actual business data, build a model to obtain a business model corresponding to the actual business data.

[0045] Among them, in order to ensure that the digital twin platform is as realistic as the real logistics environment, it is necessary to build models for each module in the actual business process, including but not limited to express parcel models, vehicle scheduling models, site models, and line models. These models can be used to implement the corresponding business processes.

[0046] Specifically, after the server obtains the business data in the actual business process, it can proceed with the next step of model building to obtain an express parcel model, a vehicle scheduling model, a site model, and a line model, so as to implement the corresponding business processes on the digital twin platform.

[0047] Step S306: Integrate the business model with the virtual scenario corresponding to the real logistics cable laying business to obtain the digital twin platform.

[0048] Among them, the virtual scenario can refer to the virtual environment established according to the real logistics cable laying scenario, including but not limited to virtual vehicles, virtual lines, virtual sites, etc.

[0049] Specifically, after the server establishes each business model, it embeds each business model into the corresponding virtual scenario. For example, the vehicle scheduling model can be embedded into the virtual vehicle. It should be noted that when the vehicle scheduling model is related to the site or line, the vehicle scheduling model can also be embedded into the virtual site or virtual line. The specific integration method of the business model and the virtual scenario can be flexibly set according to the actual situation and is not limited here. After completing the integration of the business model and the virtual scenario, it can be further optimized using the real cable laying plan to obtain the digital twin platform.

[0050] In this embodiment, by obtaining the actual business data corresponding to the real logistics cable laying business, a business model corresponding to the actual business data is established, and then the digital twin platform is built. In this way, the fidelity of the digital twin platform is ensured, providing a reliable and accurate verification environment for subsequent logistics cable laying plans, thereby improving the accuracy of logistics cable laying plan verification.

[0051] In one embodiment, as Figure 5As shown in the figure, the business model is integrated with the virtual scenario corresponding to the real logistics cable laying business to obtain a digital twin platform, including:

[0052] Step S502: Integrate the business model with the virtual scenario corresponding to the real logistics cable laying business to obtain a temporary virtual platform.

[0053] Step S504: Obtain the real cable laying plan, and optimize the fidelity of the temporary virtual platform based on the real cable laying plan to obtain the optimized digital twin platform.

[0054] Among them, the temporary virtual platform may refer to the temporary digital twin platform generated after the integration of the business model and the virtual scenario. The real cable laying plan may refer to the historical logistics cable laying plan in the real environment, that is, the implemented logistics cable laying plan, which is used to optimize the temporary virtual platform.

[0055] Specifically, in order to further improve the fidelity of the digital twin platform, after generating the temporary virtual platform by integrating the business model and the virtual scenario, the historical logistics cable laying plan of the real environment can be obtained for platform optimization. The historical logistics cable laying plan can be obtained from the real logistics cable laying system, that is, the historical logistics cable laying plan is input into the temporary virtual platform, and the simulation results output by the temporary virtual platform are compared with the actual operation of the historical logistics cable laying plan, so as to perform corresponding fidelity optimization on the temporary virtual platform to obtain the optimized digital twin platform.

[0056] In this embodiment, by using the real cable laying plan to optimize the temporary virtual platform, the fidelity of the digital twin platform is improved, and then the accuracy of subsequent logistics cable laying plan verification is improved.

[0057] In one embodiment, as Figure 6 shown, optimize the fidelity of the temporary virtual platform based on the real cable laying plan to obtain the optimized digital twin platform, including:

[0058] Step S602: Input the real cable laying plan into the temporary virtual platform, perform simulation operation on the real cable laying plan, and obtain the target simulation result corresponding to the real cable laying plan.

[0059] Among them, the target simulation result may refer to the result obtained by performing simulation operation of the real cable laying plan on the temporary virtual platform, and may include the vehicle simulation result, line simulation result and execution situation simulation result corresponding to the real cable laying plan.

[0060] Specifically, the server can obtain the historical wiring plan from the real logistics wiring system, and the number of historical wiring plans can be set according to the actual situation. Then, the historical wiring plan is input into the temporary virtual platform for simulation operation, so as to obtain the vehicle results, line results and execution status corresponding to the historical wiring plan.

[0061] Step S604, based on the target simulation result, obtain the fidelity parameter corresponding to the temporary virtual platform.

[0062] Among them, the fidelity parameter can refer to the relevant parameters for optimizing the fidelity of the temporary virtual platform, and can include line fidelity, vehicle fidelity and execution status fidelity.

[0063] Specifically, after the server obtains the target simulation result of the real wiring plan on the temporary virtual platform, it can further obtain the real operation result of the real wiring plan during actual implementation, so as to determine whether to obtain the fidelity parameter of the temporary virtual platform based on the target simulation result and the real operation result, that is, to determine whether to optimize the fidelity of the temporary virtual platform.

[0064] In one embodiment, obtaining the fidelity parameter corresponding to the temporary virtual platform based on the target simulation result includes: obtaining the real operation result corresponding to the real wiring plan; performing a consistency comparison between the target simulation result and the real operation result to obtain a consistency comparison result; if the consistency comparison result indicates that the target simulation result is inconsistent with the real operation result, then obtain the fidelity parameter corresponding to the temporary virtual platform.

[0065] Among them, the real operation result can refer to the operation result corresponding to the real wiring plan during actual implementation, and can include real line results, real vehicle results and real execution results. The real line results can include the stop points of each line during the actual implementation of the real wiring plan. The real vehicle results can include the actual loading rate of the vehicle during the actual implementation of the real wiring plan, that is, how many express deliveries are loaded after each vehicle arrives at the task network point. The real execution result can include the execution status of the real wiring plan for temporary tasks during actual implementation. The consistency comparison result can be used to indicate whether the target simulation result is consistent with the real operation result, and can include line consistency comparison results, vehicle consistency comparison results and execution status consistency comparison results.

[0066] Specifically, the server compares the target operation result with the actual operation result, that is, compares the line simulation result with the actual line result, compares the vehicle simulation result with the actual vehicle result, obtains the vehicle consistency comparison result, compares the execution situation simulation result with the actual execution result, and obtains the execution situation consistency comparison result. If the consistency comparison result indicates that the target simulation result is inconsistent with the actual operation result, it is necessary to optimize the fidelity of the temporary virtual platform, that is, obtain the fidelity parameters of the temporary virtual platform. If the consistency comparison result indicates that the target simulation result is consistent with the actual operation result, the fidelity optimization may not be performed.

[0067] In one embodiment, if any one or more of the line consistency comparison result, the vehicle consistency comparison result, and the execution situation consistency comparison result are inconsistent, it is determined that the consistency comparison result is inconsistent. If the line consistency comparison result, the vehicle consistency comparison result, and the execution situation consistency comparison result are all consistent, it is determined that the consistency comparison result is consistent.

[0068] For example, it is possible to compare whether the stops corresponding to the actual line plan on the temporary virtual platform are the same as the stops corresponding to the actual line plan in the real scenario to obtain the line consistency comparison result. It is also possible to compare whether the quantity of goods loaded and unloaded by each vehicle in the actual line plan at each network point on the temporary virtual platform is the same as the quantity of goods loaded and unloaded by each vehicle in the actual line plan at each network point in the real scenario to obtain the vehicle consistency comparison result. It is also possible to compare whether the execution situation corresponding to the execution of the temporary additional vehicle task by the actual line plan on the temporary virtual platform is the same as the execution situation corresponding to the execution of the temporary additional vehicle task by the actual line plan in the real scenario to obtain the execution situation consistency comparison result. It should be noted that the consistency comparison is not limited to the above data. That is, the consistency comparison of the line may not be limited to the comparison of stops, the consistency comparison of the vehicle may not be limited to the loading rate, and the consistency comparison of the execution situation may not be limited to the temporary task. Other data can be selected as the comparison reference according to the actual situation.

[0069] Step S606: Adjust the fidelity parameters to obtain an adjusted parameter result, and determine the digital twin platform according to the adjusted parameter result.

[0070] Among them, the adjusted parameter result refers to the result obtained after adjusting the fidelity parameters.

[0071] Specifically, after the server determines that the fidelity of the temporary virtual platform needs to be optimized, it obtains the fidelity parameters and can adjust the fidelity parameters according to the consistency comparison result. It should be noted that the specific fidelity parameters to be adjusted can be adjusted according to the business corresponding to the target simulation result. Taking the vehicle simulation result as an example, the vehicle is not only related to the vehicle fidelity, but may also be related to the line fidelity. Therefore, when the vehicle simulation result is inconsistent with the real vehicle result, it is necessary to locate the reason for the inconsistency according to the actual situation, so as to adjust the corresponding fidelity parameters to obtain the parameter adjustment result, and thus obtain the digital twin platform.

[0072] In this embodiment, by comparing the target simulation result obtained by simulating and running the real wiring plan on the temporary virtual platform with the real running result of the real wiring plan for consistency, the fidelity of the temporary virtual platform is optimized to obtain the final digital twin platform, improving the fidelity of the digital twin platform, and thus improving the accuracy and authenticity of subsequent logistics wiring plan verification.

[0073] In one embodiment, as Figure 7 shown, based on the actual business data, a model is built to obtain a business model corresponding to the actual business data, including:

[0074] Step S702, obtain the data structure information corresponding to the actual business data and the business behavior information corresponding to the actual business data.

[0075] Among them, the business model can include a data model and a mechanism model. The mechanism model is also called a white-box model, which is an accurate mathematical model established based on the internal mechanism of the object, the generation process, or the transfer mechanism of the material flow. It is a mathematical model of the object or process obtained based on the mass balance equation, energy balance equation, momentum balance equation, phase balance equation, some physical property equations, chemical reaction laws, basic circuit laws, etc. The advantage of the mechanism model is that the parameters have very clear physical meanings. Such models exist in all walks of life and require sufficient input conditions. Through the model, the output can be obtained to simulate the whole process. The data model is also called a black-box model, such as artificial intelligence, represented by neural networks, and of course there are also decision trees, genetic algorithms, and support vector machines, etc. Such models have incomplete inputs. By means of the mobile Internet or other relevant software, a large amount of data is collected, the data is organized to form information, and then the relevant information is integrated and refined. After training and fitting on the basis of the data, an automated decision-making model is formed.

[0076] Step S704, based on the data structure information, build a model to obtain a data model;

[0077] Among them, the data structure information may refer to the information used to describe the data structure of actual business data. Taking express delivery data as an example, the data structure information of express delivery data may be information such as express delivery size, express delivery type, and express delivery shape.

[0078] Specifically, according to the data structure information of the actual business data, data analysis methods are used to establish a model to obtain the data model corresponding to the actual business data. The data analysis methods include, but are not limited to, the analogy analysis method, that is, establishing an analogy relationship between different business data according to some mathematical principles; the geometric analysis method, that is, establishing a model for actual problems using principles of plane geometry, solid geometry, analytic geometry, etc.; and the comparison analysis method, that is, establishing a model based on the common points and differences between data.

[0079] For example, an express delivery data model can be established based on express delivery data, and a vehicle scheduling data model can be established based on vehicle data, which can be used to determine how many express deliveries a vehicle can load, obtain the basic information of the actual executed vehicle and the tasks to be executed by the vehicle according to the actual task list, and determine what tasks the vehicle performs according to the demand list. A site data model can also be established based on site data. The site data model can include a network point data model and a transfer station data model, which can be automatically generated from the longitude and latitude information and shift information in the site information table. The site data model can be used to analyze the express delivery data, site type, shifts corresponding to the site, longitude and latitude of the site, loading time of the site, loading and unloading habits of the site, etc. A route data model can also be established based on route data. The route data model can include the navigation journey and transportation time of vehicles between all sites. When a vehicle performs a task, it can query this model to determine the vehicle speed.

[0080] Step S706, based on the business behavior information, establish a model to obtain a mechanism model.

[0081] Among them, the business behavior information may refer to the business logic information used to describe the actual business data. Taking vehicle data as an example, the business behavior information of vehicle data may be vehicle scheduling logic, such as arranging the transportation of vehicles between each site according to the actual task list.

[0082] Specifically, according to the business logic of the actual business data, data analysis of the actual business data is carried out, including but not limited to data processing, statistical analysis, and data mining, so as to establish a mechanism model corresponding to the actual business data.

[0083] For example, a mechanism model for vehicle scheduling can be established, which can be used to generate vehicle scheduling, query line data models to obtain the running speed and running duration of vehicles, arrange vehicles to move between various sites according to the actual task list, complete tasks at each site, perform loading and unloading operations, record cargo information, calculate the vehicle loading rate, etc. A site mechanism model can also be established, which can include a network point mechanism model and a transfer yard mechanism model, interact with vehicles, simulate the queuing and loading / unloading logic after the vehicles arrive, and it can realize generating network points or transfer yards according to the actual longitude and latitude coordinates, allocating shifts to each site according to the site data, generating corresponding express parcels at the corresponding shift times according to the site data, interacting with vehicles to simulate the queuing and loading / unloading logic of vehicles, and judging whether to call a vehicle temporarily according to the remaining express parcel quantity of the current shift.

[0084] It should be noted that the establishment order of the mechanism model and the data model is not limited to the order described in this embodiment and can be set according to the actual situation.

[0085] In this embodiment, by establishing the data model and the mechanism model of the business model, not only can the data results of the actual business data be accurately described, but also the business logic of the actual business data can be accurately described, improving the accuracy rate of the business model, making the digital twin platform more in line with the real environment, and thus improving the accuracy rate of the subsequent logistics line arrangement plan verification.

[0086] In a specific embodiment, as Figure 8 shown, the verification process of the logistics line arrangement plan can include the following steps:

[0087] S1: Business analysis: Analyze the real logistics line arrangement business to obtain the actual business data.

[0088] S2: Model construction: According to the actual business data, construct the mechanism model and the data model respectively to obtain the final business model.

[0089] S3: Fidelity optimization: As Figure 9 shown, fuse the business model with the virtual scene corresponding to the pre-constructed real logistics line arrangement business to obtain a temporary virtual platform, that is, the digital twin platform in Figure 9 , and obtain the real line arrangement plan, that is, the real vehicle tasks. Extract the real vehicle packages from the real vehicle tasks. All the tasks of each vehicle are one vehicle package. Input the real vehicle packages into the digital twin platform for simulation operation to obtain the simulation results, and compare the simulation results with the real operation results of the real vehicle tasks to obtain the consistency comparison results, and perform fidelity optimization according to the consistency comparison results, that is, adjust the fidelity parameters of the digital twin platform, so as to obtain an optimized digital twin platform.

[0090] S4: Logistics line arrangement plan verification: Similarly referring to Figure 9, in response to the logistics cable arrangement verification instruction, obtain the logistics cable arrangement plan corresponding to the logistics cable arrangement verification instruction; input the logistics cable arrangement plan into the optimized digital twin platform for simulation operation to obtain the simulation operation result; based on the simulation operation result, verify the logistics cable arrangement plan to obtain the cable arrangement verification result corresponding to the logistics cable arrangement plan, and the cable arrangement verification result is used to verify the actual operation effect of the logistics cable arrangement plan.

[0091] In this embodiment, by performing simulation operation on the logistics cable arrangement plan on the digital twin platform, an accurate and reliable simulation operation result can be obtained. Thus, based on the simulation operation result, the actual operation effect of the logistics cable arrangement plan can be verified without the need for on-site verification, thereby improving the efficiency of logistics cable arrangement verification.

[0092] It should be understood that although the steps in the flowcharts involved in the above embodiments are sequentially shown according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same moment, but can be executed at different moments. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of the steps or stages in other steps or other steps.

[0093] Based on the same inventive concept, the embodiment of the present application also provides a digital twin-based logistics cable arrangement verification device for implementing the above-mentioned digital twin-based logistics cable arrangement verification method. The solution provided by this device to solve the problem is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the digital twin-based logistics cable arrangement verification device provided below can refer to the limitations on the digital twin-based logistics cable arrangement verification method in the above text, and will not be repeated here.

[0094] In one embodiment, as Figure 10As shown, a logistics cable layout verification device based on digital twin is provided, including: a cable layout plan acquisition module 1002, a simulation operation module 1004, and a verification module 1006, where: The cable layout plan acquisition module 1002 is configured to obtain a logistics cable layout plan corresponding to the logistics cable layout verification instruction in response to the logistics cable layout verification instruction; The simulation operation module 1004 is configured to input the logistics cable layout plan into a pre-built digital twin platform for simulation operation to obtain a simulation operation result; The digital twin platform refers to a virtual simulation platform pre-built based on real logistics cable layout operations; The verification module 1006 is configured to verify the logistics cable layout plan based on the simulation operation result to obtain a cable layout verification result corresponding to the logistics cable layout plan; The cable layout verification result is used for the actual operation effect of the logistics cable layout plan.

[0095] In one embodiment, the device further includes: an actual business data acquisition module, configured to obtain actual business data corresponding to real logistics cable layout operations in response to a construction instruction for the digital twin platform; a modeling module, configured to perform model construction based on the actual business data to obtain a business model corresponding to the actual business data; a fusion module, configured to fuse the business model with a virtual scene corresponding to real logistics cable layout operations to obtain a digital twin platform.

[0096] In one embodiment, the fusion module further includes: a fusion unit, configured to fuse the business model with a virtual scene corresponding to real logistics cable layout operations to obtain a temporary virtual platform; a fidelity optimization unit, configured to obtain a real cable layout plan and optimize the fidelity of the temporary virtual platform based on the real cable layout plan to obtain an optimized digital twin platform.

[0097] In one embodiment, the fidelity optimization unit further includes: a simulation subunit, configured to input the real cable layout plan into the temporary virtual platform to perform simulation operation on the real cable layout plan to obtain a target simulation result corresponding to the real cable layout plan; a parameter acquisition subunit, configured to obtain a fidelity parameter corresponding to the temporary virtual platform based on the target simulation result; a parameter adjustment subunit, configured to adjust the fidelity parameter to obtain an adjusted result and determine the digital twin platform according to the adjusted result.

[0098] In one embodiment, the parameter acquisition subunit is further configured to: obtain a real operation result corresponding to the real cable layout plan; perform a consistency comparison between the target simulation result and the real operation result to obtain a consistency comparison result; if the consistency comparison result indicates that the target simulation result is inconsistent with the real operation result, obtain a fidelity parameter corresponding to the temporary virtual platform.

[0099] In one embodiment, the modeling module is further configured to: obtain the data structure information corresponding to the actual business data and the business behavior information corresponding to the actual business data; establish a model based on the data structure information to obtain a data model; establish a model based on the business behavior information to obtain a mechanism model.

[0100] In one embodiment, the parameter acquisition subunit is further configured to: compare the line simulation result with the real line result for consistency to obtain a line consistency comparison result; compare the vehicle simulation result with the real vehicle result for consistency to obtain a vehicle consistency comparison result; compare the execution situation simulation result with the real execution result for consistency to obtain an execution situation consistency comparison result.

[0101] Each module in the above digital-twin-based logistics cable routing verification device can be implemented in whole or in part by software, hardware, or a combination thereof. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0102] In one embodiment, a computer device is provided. The computer device can be a server, and its internal structure diagram can be as Figure 11 shown. The computer device includes a processor, a memory, and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, 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 item recommendation data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it implements a digital-twin-based logistics cable routing verification method.

[0103] Those skilled in the art can understand that Figure 11 the structure shown in

[0104] In one embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, the following steps are implemented: in response to a logistics cable verification instruction, obtain a logistics cable plan corresponding to the logistics cable verification instruction; input the logistics cable plan into a pre-built digital twin platform for simulation operation to obtain a simulation operation result; the digital twin platform refers to a virtual simulation platform pre-built based on real logistics cable business; based on the simulation operation result, verify the logistics cable plan to obtain a cable verification result corresponding to the logistics cable plan; the cable verification result is used for the actual operation effect of the logistics cable plan.

[0105] In one embodiment, when the processor executes the computer program, the following steps are further implemented: in response to a building instruction for the digital twin platform, obtain actual business data corresponding to the real logistics cable business; based on the actual business data, perform model building to obtain a business model corresponding to the actual business data; fuse the business model with a virtual scene corresponding to the real logistics cable business to obtain the digital twin platform.

[0106] In one embodiment, when the processor executes the computer program, the following steps are further implemented: fuse the business model with a virtual scene corresponding to the real logistics cable business to obtain a temporary virtual platform; obtain a real cable plan, and optimize the fidelity of the temporary virtual platform based on the real cable plan to obtain an optimized digital twin platform.

[0107] In one embodiment, when the processor executes the computer program, the following steps are further implemented: input the real cable plan into the temporary virtual platform for simulation operation to obtain a target simulation result corresponding to the real cable plan; based on the target simulation result, obtain a fidelity parameter corresponding to the temporary virtual platform; adjust the fidelity parameter to obtain an adjusted parameter result, and determine the digital twin platform according to the adjusted parameter result.

[0108] In one embodiment, when the processor executes the computer program, the following steps are further implemented: obtain a real operation result corresponding to the real cable plan; perform a consistency comparison between the target simulation result and the real operation result to obtain a consistency comparison result; if the consistency comparison result indicates that the target simulation result is inconsistent with the real operation result, obtain the fidelity parameter corresponding to the temporary virtual platform.

[0109] In one embodiment, when the processor executes the computer program, the following steps are further implemented: obtain data structure information corresponding to the actual business data and business behavior information corresponding to the actual business data; based on the data structure information, perform model establishment to obtain a data model; based on the business behavior information, perform model establishment to obtain a mechanism model.

[0110] In one embodiment, when the processor executes the computer program, the following steps are further implemented: comparing the line simulation result with the real line result for consistency to obtain a line consistency comparison result; comparing the vehicle simulation result with the real vehicle result for consistency to obtain a vehicle consistency comparison result; comparing the execution situation simulation result with the real execution result for consistency to obtain an execution situation consistency comparison result.

[0111] 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 following steps are implemented: in response to a logistics cable layout verification instruction, obtaining a logistics cable layout plan corresponding to the logistics cable layout verification instruction; inputting the logistics cable layout plan into a pre-built digital twin platform for simulation operation to obtain a simulation operation result; the digital twin platform refers to a virtual simulation platform pre-built based on real logistics cable layout operations; based on the simulation operation result, verifying the logistics cable layout plan to obtain a cable layout verification result corresponding to the logistics cable layout plan; the cable layout verification result is used for the actual operation effect of the logistics cable layout plan.

[0112] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: in response to a building instruction for the digital twin platform, obtaining actual business data corresponding to real logistics cable layout operations; based on the actual business data, performing model building to obtain a business model corresponding to the actual business data; fusing the business model with a virtual scene corresponding to real logistics cable layout operations to obtain a digital twin platform.

[0113] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: fusing the business model with a virtual scene corresponding to real logistics cable layout operations to obtain a temporary virtual platform; obtaining a real cable layout plan, and optimizing the fidelity of the temporary virtual platform based on the real cable layout plan to obtain an optimized digital twin platform.

[0114] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: inputting the real cable layout plan into the temporary virtual platform to perform simulation operation on the real cable layout plan to obtain a target simulation result corresponding to the real cable layout plan; based on the target simulation result, obtaining a fidelity parameter corresponding to the temporary virtual platform; adjusting the fidelity parameter to obtain an adjusted parameter result, and determining the digital twin platform according to the adjusted parameter result.

[0115] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: obtaining a real operation result corresponding to the real cable layout plan; comparing the target simulation result with the real operation result for consistency to obtain a consistency comparison result; if the consistency comparison result indicates that the target simulation result is inconsistent with the real operation result, obtaining the fidelity parameter corresponding to the temporary virtual platform.

[0116] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: obtaining data structure information corresponding to actual business data and business behavior information corresponding to the actual business data; based on the data structure information, establishing a model to obtain a data model; based on the business behavior information, establishing a model to obtain a mechanism model.

[0117] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: comparing the line simulation result with the real line result for consistency to obtain a line consistency comparison result; comparing the vehicle simulation result with the real vehicle result for consistency to obtain a vehicle consistency comparison result; comparing the execution situation simulation result with the real execution result for consistency to obtain an execution situation consistency comparison result.

[0118] In one embodiment, a computer program product is provided, including a computer program, which when executed by a processor implements the following steps: in response to a logistics wiring verification instruction, obtaining a logistics wiring plan corresponding to the logistics wiring verification instruction; inputting the logistics wiring plan into a pre-built digital twin platform for simulation operation to obtain a simulation operation result; the digital twin platform refers to a virtual simulation platform pre-built based on real logistics wiring operations; based on the simulation operation result, verifying the logistics wiring plan to obtain a wiring verification result corresponding to the logistics wiring plan; the wiring verification result is used for the actual operation effect of the logistics wiring plan.

[0119] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: in response to a building instruction for the digital twin platform, obtaining actual business data corresponding to real logistics wiring operations; based on the actual business data, building a model to obtain a business model corresponding to the actual business data; fusing the business model with a virtual scene corresponding to real logistics wiring operations to obtain a digital twin platform.

[0120] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: fusing the business model with a virtual scene corresponding to real logistics wiring operations to obtain a temporary virtual platform; obtaining a real wiring plan and optimizing the fidelity of the temporary virtual platform based on the real wiring plan to obtain an optimized digital twin platform.

[0121] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: inputting the real wiring plan into the temporary virtual platform for simulation operation of the real wiring plan to obtain a target simulation result corresponding to the real wiring plan; based on the target simulation result, obtaining a fidelity parameter corresponding to the temporary virtual platform; adjusting the fidelity parameter to obtain an adjusted parameter result, and determining the digital twin platform according to the adjusted parameter result.

[0122] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: obtaining the actual operation result corresponding to the actual wiring plan; comparing the target simulation result with the actual operation result for consistency to obtain a consistency comparison result; if the consistency comparison result indicates that the target simulation result is inconsistent with the actual operation result, obtaining the fidelity parameter corresponding to the temporary virtual platform.

[0123] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: obtaining the data structure information corresponding to the actual business data and the business behavior information corresponding to the actual business data; based on the data structure information, establishing a model to obtain a data model; based on the business behavior information, establishing a model to obtain a mechanism model.

[0124] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: comparing the line simulation result with the actual line result for consistency to obtain a line consistency comparison result; comparing the vehicle simulation result with the actual vehicle result for consistency to obtain a vehicle consistency comparison result; comparing the execution situation simulation result with the actual execution result for consistency to obtain an execution situation consistency comparison result.

[0125] 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 for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0126] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memories. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, data processing logics based on quantum computing, etc., without limitation.

[0127] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, 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, it should be considered as the scope recorded in this specification.

[0128] The above embodiments only represent several implementation manners of the present application, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A logistics cable layout verification method based on digital twin, characterized in that The method includes: In response to a logistics cable arrangement verification instruction, obtaining a logistics cable arrangement plan corresponding to the logistics cable arrangement verification instruction; Inputting the logistics cable arrangement plan into a pre-built digital twin platform for simulation operation to obtain a simulation operation result; the digital twin platform refers to a virtual simulation platform pre-built based on real logistics cable arrangement operations; Based on the simulation operation result, verifying the logistics cable arrangement plan to obtain a cable arrangement verification result corresponding to the logistics cable arrangement plan; the cable arrangement verification result is used to verify the actual operation effect of the logistics cable arrangement plan.

2. The method according to claim 1, wherein Before the step of responding to the logistics cable arrangement verification instruction, the method further includes: In response to a construction instruction for the digital twin platform, obtaining actual business data corresponding to real logistics cable arrangement operations; Based on the actual business data, performing model construction to obtain a business model corresponding to the actual business data; Fusing the business model with a virtual scenario corresponding to the real logistics cable arrangement operation to obtain the digital twin platform.

3. The method according to claim 2, wherein The fusing the business model with a virtual scenario corresponding to the real logistics cable arrangement operation to obtain the digital twin platform includes: Fusing the business model with a virtual scenario corresponding to the real logistics cable arrangement operation to obtain a temporary virtual platform; Obtaining a real cable arrangement plan, and optimizing the fidelity of the temporary virtual platform based on the real cable arrangement plan to obtain the optimized digital twin platform.

4. The method according to claim 3, characterized in that, The optimizing the fidelity of the temporary virtual platform based on the real cable arrangement plan to obtain the optimized digital twin platform includes: Inputting the real cable arrangement plan into the temporary virtual platform, performing simulation operation on the real cable arrangement plan to obtain a target simulation result corresponding to the real cable arrangement plan; Based on the target simulation result, obtaining a fidelity parameter corresponding to the temporary virtual platform; Adjusting the fidelity parameter to obtain an adjusted parameter result, and determining the digital twin platform according to the adjusted parameter result.

5. The method according to claim 4, wherein The obtaining a fidelity parameter corresponding to the temporary virtual platform based on the target simulation result includes: Obtaining a real operation result corresponding to the real cable arrangement plan; Performing a consistency comparison between the target simulation result and the real operation result to obtain a consistency comparison result; If the consistency comparison result indicates that the target simulation result is inconsistent with the real operation result, obtaining a fidelity parameter corresponding to the temporary virtual platform.

6. The method according to claim 2, characterized in that, The business model includes a mechanism model and a data model. The performing model construction based on the actual business data to obtain a business model corresponding to the actual business data includes: Obtaining data structure information corresponding to the actual business data and business behavior information corresponding to the actual business data; Based on the data structure information, performing model establishment to obtain the data model; Based on the business behavior information, performing model establishment to obtain the mechanism model.

7. The method according to claim 5, characterized in that, The target simulation results include line simulation results, vehicle simulation results, and execution situation simulation results. The actual operation results include actual line results, actual vehicle results, and actual execution results. The consistency comparison results include line consistency comparison results, vehicle consistency comparison results, and execution situation consistency comparison results; Comparing the target simulation results with the actual operation results to obtain consistency comparison results includes: Comparing the line simulation results with the actual line results to obtain the line consistency comparison results; Comparing the vehicle simulation results with the actual vehicle results to obtain the vehicle consistency comparison results; Comparing the execution situation simulation results with the actual execution results to obtain the execution situation consistency comparison results.

8. A logistics cable laying verification device based on digital twin, characterized in that, The device includes: A cable layout plan acquisition module, configured to obtain a logistics cable layout plan corresponding to the logistics cable layout verification instruction in response to the logistics cable layout verification instruction; A simulation operation module, configured to input the logistics cable layout plan into a pre-built digital twin platform for simulation operation to obtain simulation operation results. The digital twin platform refers to a virtual simulation platform pre-built based on real logistics cable layout operations; A verification module, configured to verify the logistics cable layout plan based on the simulation operation results to obtain the cable layout verification results corresponding to the logistics cable layout plan. The cable layout verification results are used to verify the actual operation effect of the logistics cable layout plan.

9. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, the steps of the method according to any one of claims 1 to 7 are implemented.

11. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, the steps of the method according to any one of claims 1 to 7 are implemented.