Service path creation method, network management system, electronic equipment and medium

Abstract

The embodiment of the invention relates to the technical field of communication system operation and maintenance, and provides a service path creation method, a network management system, electronic equipment and a medium, and the method comprises the steps: obtaining a service creation instruction, and analyzing the service creation instruction to determine a service creation requirement; obtaining current network topological structure data, and extracting current network features according to the current network topological structure data through a pre-trained service path planning model; planning an initial service path based on service creation requirements and the current network features; performing feasibility judgment on the initial service path; optimizing the initial service path based on the feasibility judgment result to obtain target service path data; and creating a target service path based on the target service path data. Therefore, operation and maintenance personnel only need to provide specific requirements for service creation, and the service path data is automatically created by introducing the artificial intelligence model, so that the workload of the operation and maintenance personnel is reduced, the professional requirement and the error rate are reduced, and the speed and the flexibility of service deployment are improved.

Description

Technical Field

[0001] The present invention relates to the field of communication system operation and maintenance technology, and in particular to a service path creation method, a network management system, an electronic device and a medium. Background Art

[0002] As the scale of telecommunications networks expands and their structures become more complex, network management systems face huge challenges in creating service paths. Traditional service path creation methods rely on manual configuration or automated tools based on fixed templates. These methods are inefficient, error-prone, and difficult to adapt to complex and changing network environments. Manually creating service paths is not only time-consuming, but also requires a high degree of professional skills. It is a tedious and error-prone task for operation and maintenance personnel. Although automated tools can reduce some workload, they can often only make decisions according to established logic and rules, lacking flexibility and intelligence. Once the business environment changes, human intervention may be required to modify programs and rules, making it difficult to cope with complex business needs and network changes. Summary of the invention

[0003] The present invention provides a service path creation method, a network management system, an electronic device and a medium, which are used to solve the defects of the prior art that manual service path creation is time-consuming and requires high professionalism, and the automation tool lacks flexibility and intelligence, thereby reducing the workload of operation and maintenance personnel, lowering the error rate, improving the speed and flexibility of service deployment, and adapting to the rapid changes in the network environment.

[0004] The present invention provides a service path creation method, comprising: Obtaining a service creation instruction, and analyzing the service creation instruction to determine service creation requirements; Acquire current network topology data, and extract current network features according to the current network topology data using a pre-trained service path planning model; Planning an initial service path based on the service creation requirements and the current network characteristics; Conducting feasibility assessment on the initial business path; Optimizing the initial service path based on the feasibility judgment result to obtain target service path data; A target service path is created based on the target service path data.

[0005] In a possible implementation, the method further includes: The current network topology data is input into the service path planning model, and the distance weights between current nodes and current link busyness data corresponding to the current network topology are extracted through the service path planning model.

[0006] In a possible implementation, the method further includes: Acquire a historical service path planning scheme and a historical network topology structure corresponding to the historical service path planning scheme; Extracting features from the historical network topology to obtain distance weights between nodes and link busyness data; The artificial intelligence model is trained by using the historical service path planning scheme, the distance weights between the nodes and the link busyness data; When the training results meet the preset conditions, it is determined that the training of the artificial intelligence model is completed, and the trained artificial intelligence model is used as the business path planning model.

[0007] In a possible implementation, the method further includes: Service creation requirements include at least service type, bandwidth requirements, latency requirements, and reliability standards; Predicting data transmission performance information of the current network topology structure based on the distance weight between the current nodes and the current link busyness data; An initial service path is planned based on the data transmission performance information and the service type, bandwidth requirement, delay requirement and reliability standard in the service creation requirements.

[0008] In a possible implementation, the method further includes: The initial business path is evaluated by using virtual data that meets the business creation requirements to determine the feasibility of the initial business path.

[0009] In a possible implementation, the method further includes: If it is determined that the initial service path is feasible, the initial service path is used as the target service path to obtain target service path data; If it is determined that the initial service path is not feasible, the initial service path is further optimized based on the service creation requirements and the current network characteristics to obtain an optimized service path; The optimized service path is evaluated to determine the feasibility of the optimized service path until the optimized service path is feasible, thereby obtaining target service path data.

[0010] In a possible implementation, the method further includes: Automatically configure network equipment through a network management system based on the target service path data to deploy the target service path; Collect network feedback data after deploying the target service path, and optimize the service path planning model based on the network feedback data.

[0011] The present invention also provides a network management system, comprising the following modules: An acquisition and determination module is used to acquire a service creation instruction and analyze the service creation instruction to determine the service creation requirements; A feature extraction module is used to obtain current network topology data and extract current network features according to the current network topology data through a pre-trained service path planning model; A path planning module, used to plan an initial service path based on the service creation requirements and the current network characteristics; A judgment module, used for judging the feasibility of the initial service path; An optimization module, used to optimize the initial service path based on the feasibility judgment result to obtain target service path data; A creation module is used to create a target service path based on the target service path data.

[0012] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the service path creation method described in any one of the above is implemented.

[0013] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the service path creation method described in any one of the above is implemented.

[0014] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the service path creation method as described above is implemented.

[0015] The service path creation method, network management system, electronic device and medium provided by the present invention obtain service creation instructions, analyze the service creation instructions to determine service creation requirements; obtain current network topology data, extract current network features according to the current network topology data through a pre-trained service path planning model; plan an initial service path based on the service creation requirements and the current network features; make a feasibility judgment on the initial service path; optimize the initial service path based on the feasibility judgment result to obtain target service path data; create a target service path based on the target service path data. Compared with the defects of manually creating service paths in the prior art, which is time-consuming and requires high professionalism, and the lack of flexibility and intelligence of automation tools, this solution automates the service path creation process by introducing a pre-trained artificial intelligence model. The operation and maintenance personnel only need to provide specific requirements for service creation, and the artificial intelligence model can automatically create specific service path data according to these requirements and a large amount of service data, which can not only reduce the workload of the operation and maintenance personnel and reduce the error rate, but also improve the speed and flexibility of service deployment and adapt to the rapid changes in the network environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 This is one of the flow charts of the service path creation method provided by the present invention.

[0018] Figure 2 This is the second flowchart of the service path creation method provided by the present invention.

[0019] Figure 3 This is the third flow chart of the business path creation method provided by the present invention.

[0020] Figure 4 It is a structural diagram of the network management system provided by the present invention.

[0021] Figure 5 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] To facilitate understanding of the embodiments of the present invention, specific embodiments will be further explained below in conjunction with the accompanying drawings. The embodiments do not constitute a limitation on the embodiments of the present invention.

[0024] Figure 1 It is one of the flowcharts of the service path creation method provided by the present invention, such as Figure 1 As shown, the method specifically includes: S11. Obtain a service creation instruction, and analyze the service creation instruction to determine service creation requirements.

[0025] The embodiments of the present invention are applied to the service path creation scenario. The service path can be understood as a path of the optical fiber communication network, that is, a series of connections and devices through which a signal is transmitted from a source node to a destination node. After a service path is configured, voice, video, Internet data and other services can be transmitted according to the service path. Common ones include SDH path, 64K path, OTN path, etc.

[0026] Operation and maintenance personnel can input service creation instructions through the user end, and the service creation instructions include specific requirements for service path creation. Further, the received instructions are analyzed in detail to clarify the specific needs of the service, including service type (such as data center interconnection, high-definition video transmission, voice communication, etc.), bandwidth requirements (from low-speed voice service bandwidth to high-speed large data transmission bandwidth), latency requirements (such as strict requirements for low latency in financial transactions), reliability standards (such as some key services require high reliability and high redundancy backup requirements), etc.

[0027] S12: Acquire current network topology data, and extract current network features based on the current network topology data using a pre-trained service path planning model.

[0028] Collect detailed information about all nodes in the network (such as routers, switches, servers, etc.) and their connection relationships to obtain network topology data to form a network topology map. Based on the network topology data, the pre-trained service path planning model is used to extract network feature information, such as bandwidth capacity, link delay, node processing capability, network congestion status, etc. The training process of the service path planning model is Figure 2 The corresponding embodiments are described in detail and will not be described in detail here.

[0029] S13: Plan an initial service path based on the service creation requirements and the current network characteristics.

[0030] Based on the service creation requirements and current network characteristics, use path planning algorithms (such as the shortest path algorithm, multi-path algorithm, etc.) or pre-trained service path planning models to calculate one or more initial service paths that meet service requirements. These paths should optimize performance, reduce latency and cost as much as possible.

[0031] S14: Perform feasibility assessment on the initial service path.

[0032] Verify the initially planned service path to ensure that each node and link on the path can meet the service requirements, including bandwidth, latency, reliability, etc. In addition, the constraints of network policies (such as security policies and traffic engineering policies) on the path must also be considered.

[0033] S15. Optimize the initial service path based on the feasibility judgment result to obtain target service path data.

[0034] According to the feasibility judgment results, the initial service path is adjusted and optimized, including selecting backup paths, adjusting routing strategies, adding redundant backups, etc., to ensure the reliability and performance of the service path.

[0035] The optimized path is determined as the target service path, and the corresponding configuration data is generated, including the configuration information, link information, service type, priority, etc. of each node on the path.

[0036] S16: Create a target service path based on the target service path data.

[0037] Apply the target service path data to the network and create the service path by configuring network devices (such as routers and switches), including establishing necessary forwarding rules, configuring QoS policies, and ensuring resource reservation on the path.

[0038] Finally, validate the created business path to ensure it works as expected, and set up monitoring mechanisms to continuously track the performance and status of the path so that any potential issues can be responded to in a timely manner.

[0039] The service path creation method provided by the present invention obtains service creation instructions, and analyzes the service creation instructions to determine service creation requirements; obtains current network topology data, and extracts current network features according to the current network topology data through a pre-trained service path planning model; plans an initial service path based on the service creation requirements and the current network features; makes a feasibility judgment on the initial service path; optimizes the initial service path based on the feasibility judgment result to obtain target service path data; and creates a target service path based on the target service path data. Compared with the defects of manually creating service paths in the prior art, which is time-consuming and requires high professionalism, and the lack of flexibility and intelligence of automation tools, the present method automates the service path creation process by introducing a pre-trained artificial intelligence model. The operation and maintenance personnel only need to provide specific requirements for service creation, and the artificial intelligence model can automatically create specific service path data according to these requirements and a large amount of service data, which can not only reduce the workload of the operation and maintenance personnel and reduce the error rate, but also improve the speed and flexibility of service deployment and adapt to the rapid changes in the network environment.

[0040] Figure 2 This is the second flow chart of the service path creation method provided by the present invention. Figure 2 As shown, the method specifically includes: S21. Obtain a historical service path planning solution and a historical network topology structure corresponding to the historical service path planning solution.

[0041] In the embodiment of the present invention, the service path planning model is first pre-trained, including the following contents: Collect past successful cases of network service path planning (such as voice, video, and Internet data) and their corresponding network topology. These data include historical service path planning solutions (i.e., detailed records of how service paths were planned in the past) and information such as node connection relationships and link status in the network at that time. Clean the collected data to remove erroneous information, etc.

[0042] S22: Extract features from the historical network topology structure to obtain distance weights between nodes and link busyness data.

[0043] For business requirement data, convert it into a format that the model can understand. For network topology and historical data, perform feature extraction, such as calculating the distance weight between nodes (possibly using physical distance, number of hops, or delay as weight), link busyness (such as link utilization, packet loss rate, etc.), etc.

[0044] S23. The artificial intelligence model is trained using the historical business path planning scheme, the distance weights between the nodes, and the link busyness data.

[0045] The artificial intelligence model is trained and fine-tuned through processed data, and the model parameters are continuously adjusted so that the model can generate reasonable paths based on business requirements and actual network conditions.

[0046] Use historical service path planning solutions and their corresponding network features (node ​​distance weights and link busyness) as model inputs to train an artificial intelligence model (such as a neural network, decision tree, etc.). The goal of the model is to learn how to plan effective service paths based on network features.

[0047] S24. When the training results meet the preset conditions, it is determined that the training of the artificial intelligence model is completed, and the trained artificial intelligence model is used as a business path planning model.

[0048] The performance of the model is evaluated through the validation set (a set of historical data that has not participated in the training). When the performance of the model on the validation set reaches the preset accuracy, loss rate or other performance indicators, the model training is considered complete and the business path planning model is obtained.

[0049] S25: Obtain a service creation instruction, and analyze the service creation instruction to determine service creation requirements.

[0050] Operation and maintenance personnel can input service creation instructions through the user end, and the service creation instructions include specific requirements for service path creation. Further, the received instructions are analyzed in detail to clarify the specific needs of the service, including service type (such as data center interconnection, high-definition video transmission, voice communication, etc.), bandwidth requirements (from low-speed voice service bandwidth to high-speed large data transmission bandwidth), latency requirements (such as strict requirements for low latency in financial transactions), reliability standards (such as some key services require high reliability and high redundancy backup requirements), etc.

[0051] S26, inputting the current network topology data into the service path planning model, and extracting the distance weight between current nodes and the current link busyness data corresponding to the current network topology through the service path planning model.

[0052] The current network topology data is input into the trained service path planning model, and the model will output the distance weights and link busyness data between nodes under the current network status.

[0053] S27: Estimate the data transmission performance information of the current network topology structure based on the distance weight between the current nodes and the current link busyness data.

[0054] Using the data output by the model and combining it with business requirements, the data transmission performance of different paths under the current network status is estimated, including bandwidth utilization, latency, packet loss rate, etc.

[0055] S28. Plan an initial service path based on the data transmission performance information and the service type, bandwidth requirement, latency requirement and reliability standard in the service creation requirements.

[0056] Based on the estimated data transmission performance information and business requirements, a path planning algorithm is used to plan an initial business path that meets business needs.

[0057] S29. Evaluate the initial business path using virtual data that meets the business creation requirements to determine the feasibility of the initial business path.

[0058] Use virtual data that meets business requirements (such as simulated traffic load, service quality parameters, etc.) to evaluate the initial business path to verify whether it meets bandwidth requirements, latency requirements, and reliability standards.

[0059] S210: Optimize the initial service path based on the feasibility determination result to obtain target service path data.

[0060] If the initial business path is judged to be feasible, the initial business path is used as the target business path to obtain the target business path data; if the initial business path is judged to be not feasible, the initial business path is further optimized based on the business creation requirements and the current network characteristics to obtain the optimized business path; the optimized business path is evaluated to judge the feasibility of the optimized business path until the optimized business path is feasible to obtain the target business path data.

[0061] S211 . Automatically configure network equipment through a network management system based on the target service path data to deploy the target service path.

[0062] The target service path data is input into the network management system, which automatically configures network devices (such as routers, switches, etc.) to implement the deployment of service paths.

[0063] S212: Collect network feedback data after deploying the target service path, and optimize the service path planning model based on the network feedback data.

[0064] After deployment, actual feedback data from the network (such as link utilization, latency, packet loss rate, etc.) is collected and used to further optimize the service path planning model to improve the accuracy and efficiency of its future planned paths.

[0065] The service path creation method based on the artificial intelligence model provided by the embodiment of the present invention has the following advantages: Automation and intelligence: It reduces the need for manual configuration, reduces the error rate, and improves the speed of service deployment. Flexibility and adaptability: It can quickly adjust the service path according to changes in the network environment and business needs. For example, when a link in the network is congested, the model can quickly find alternative links based on the understanding of the entire network topology and business traffic distribution to re-plan the service path. Efficiency improvement: It greatly reduces the workload of operation and maintenance personnel, allowing them to focus on more complex tasks. Continuous optimization: The model can self-learn and optimize according to the actual deployment results, and continuously improve the accuracy and efficiency of service path creation.

[0066] The network management system provided by the present invention is described below. The network management system described below and the service path creation method described above can be referenced to each other.

[0067] Figure 4 It is a structural diagram of the network management system provided by the present invention, which specifically includes: The acquisition and determination module 401 is used to acquire a service creation instruction and analyze the service creation instruction to determine the service creation requirement. For detailed description, please refer to the relevant description corresponding to the above method embodiment, which will not be repeated here.

[0068] The feature extraction module 402 is used to obtain the current network topology data and extract the current network features according to the current network topology data through the pre-trained service path planning model. For detailed description, please refer to the relevant description corresponding to the above method embodiment, which will not be repeated here.

[0069] The path planning module 403 is used to plan an initial service path based on the service creation requirements and the current network characteristics. For detailed description, please refer to the relevant description of the above method embodiment, which will not be repeated here.

[0070] The judgment module 404 is used to judge the feasibility of the initial service path. For detailed description, please refer to the relevant description of the above method embodiment, which will not be repeated here.

[0071] The optimization module 405 is used to optimize the initial service path based on the feasibility judgment result to obtain target service path data. For detailed description, please refer to the relevant description corresponding to the above method embodiment, which will not be repeated here.

[0072] The creation module 406 is used to create a target service path based on the target service path data. For detailed description, please refer to the relevant description corresponding to the above method embodiment, which will not be repeated here.

[0073] Figure 5 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 5 As shown, the electronic device may include: a processor 810, a communication interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication interface 820 and the memory 830 complete mutual communication through the communication bus 840. The processor 810 may call the logic instructions in the memory 830 to execute the service path creation method, which includes: obtaining a service creation instruction, and analyzing the service creation instruction to determine the service creation requirement; obtaining current network topology data, extracting current network features according to the current network topology data through a pre-trained service path planning model; planning an initial service path based on the service creation requirement and the current network features; making a feasibility judgment on the initial service path; optimizing the initial service path based on the feasibility judgment result to obtain target service path data; and creating a target service path based on the target service path data.

[0074] In addition, the logic instructions in the above-mentioned memory 830 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0075] On the other hand, the present invention also provides a computer program product, which includes a computer program, and the computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the service path creation method provided by the above methods, and the method includes: obtaining a service creation instruction, and analyzing the service creation instruction to determine the service creation requirements; obtaining current network topology data, and extracting current network features according to the current network topology data through a pre-trained service path planning model; planning an initial service path based on the service creation requirements and the current network features; making a feasibility judgment on the initial service path; optimizing the initial service path based on the feasibility judgment result to obtain target service path data; and creating a target service path based on the target service path data.

[0076] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the service path creation method provided by the above-mentioned methods, the method comprising: obtaining a service creation instruction, and analyzing the service creation instruction to determine the service creation requirements; obtaining current network topology data, and extracting current network features according to the current network topology data through a pre-trained service path planning model; planning an initial service path based on the service creation requirements and the current network features; making a feasibility judgment on the initial service path; optimizing the initial service path based on the feasibility judgment result to obtain target service path data; and creating a target service path based on the target service path data.

[0077] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0078] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0079] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A service path creation method, characterized in that: include: Obtaining a service creation instruction, and analyzing the service creation instruction to determine service creation requirements; Acquire current network topology data, and extract current network features according to the current network topology data using a pre-trained service path planning model; Planning an initial service path based on the service creation requirements and the current network characteristics; Conducting feasibility assessment on the initial business path; Optimizing the initial service path based on the feasibility judgment result to obtain target service path data; A target service path is created based on the target service path data.

2. The method according to claim 1, characterized in that The obtaining of current network topology data and extracting current network features according to the current network topology data through a pre-trained service path planning model include: The current network topology data is input into the service path planning model, and the distance weights between current nodes and current link busyness data corresponding to the current network topology are extracted through the service path planning model.

3. The method according to claim 1, characterized in that The service path planning model is trained based on the following method: Acquire a historical service path planning scheme and a historical network topology structure corresponding to the historical service path planning scheme; Extracting features from the historical network topology to obtain distance weights between nodes and link busyness data; The artificial intelligence model is trained by using the historical service path planning scheme, the distance weights between the nodes and the link busyness data; When the training results meet the preset conditions, it is determined that the training of the artificial intelligence model is completed, and the trained artificial intelligence model is used as the business path planning model.

4. The method according to claim 2, characterized in that: The service creation requirements include at least service type, bandwidth requirement, latency requirement and reliability standard; The planning of an initial service path based on the service creation requirement and the current network characteristics includes: Predicting data transmission performance information of the current network topology structure based on the distance weight between the current nodes and the current link busyness data; An initial service path is planned based on the data transmission performance information and the service type, bandwidth requirement, delay requirement and reliability standard in the service creation requirements.

5. The method according to claim 4, characterized in that The feasibility determination of the initial service path includes: The initial business path is evaluated by using virtual data that meets the business creation requirements to determine the feasibility of the initial business path.

6. The method according to claim 5, characterized in that The optimizing the initial service path based on the feasibility judgment result to obtain target service path data includes: If it is determined that the initial service path is feasible, the initial service path is used as a target service path to obtain target service path data; If it is determined that the initial service path is not feasible, the initial service path is further optimized based on the service creation requirements and the current network characteristics to obtain an optimized service path; The optimized service path is evaluated to determine the feasibility of the optimized service path until the optimized service path is feasible, thereby obtaining target service path data.

7. The method according to claim 6, characterized in that The creating a target service path based on the target service path data includes: Automatically configure network equipment through a network management system based on the target service path data to deploy the target service path; Collect network feedback data after deploying the target service path, and optimize the service path planning model based on the network feedback data.

8. A network management system, characterized in that: include: An acquisition and determination module is used to acquire a service creation instruction and analyze the service creation instruction to determine the service creation requirements; A feature extraction module is used to obtain current network topology data and extract current network features according to the current network topology data through a pre-trained service path planning model; A path planning module, used to plan an initial service path based on the service creation requirements and the current network characteristics; A judgment module, used for judging the feasibility of the initial service path; An optimization module, used to optimize the initial service path based on the feasibility judgment result to obtain target service path data; A creation module is used to create a target service path based on the target service path data.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the service path creation method according to any one of claims 1 to 7 is implemented.

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

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