Private network deployment method, vehicle control method and device

Abstract

The embodiment of the present application provides a private network deployment method, a vehicle control method and a device, wherein the private network deployment method includes: obtaining the expected parameters of the base station to be deployed, the base station to be deployed is used to build a preset private network; based on the expected parameters, determining the adjacent base station corresponding to the base station to be deployed; determining the signal interference intensity between the adjacent base station and the base station to be deployed; based on the signal interference intensity, determining the deployment scheme corresponding to the base station to be deployed, the signal interference intensity between the base station to be deployed and the adjacent base station corresponding to the deployment scheme is less than a preset threshold. In this embodiment, the deployment scheme corresponding to the base station to be deployed is determined based on the signal interference intensity. Since the signal interference intensity between the base station to be deployed and the adjacent base station corresponding to the deployment scheme is less than the preset threshold, the signal interference problem between different private networks is effectively solved, thereby ensuring the network operation quality and efficiency of the private network, and effectively improving the practicality of the method.

Description

Technical Field

[0001] The present application relates to the field of network technology, and in particular to a private network deployment method, a vehicle control method and a device. Background Art

[0002] With the development of communication networks, enterprises' security requirements for local data are gradually increasing. Enterprises now tend to choose and use exclusive network resources and customized 5G private network services.

[0003] At present, in the process of enterprises deploying private networks, the general scale of base stations ranges from a few to dozens, which can meet the different needs of different enterprises for private networks. For example, different enterprises have different needs for bandwidth, frequency, uplink and downlink time slot ratio, transmission power, etc. However, for private networks deployed by enterprises with similar geographical locations, signal interference is often prone to occur between private networks with similar frequency bands, which will reduce the network operation quality and efficiency of each private network. Summary of the invention

[0004] The embodiments of the present application provide a private network deployment method, a vehicle control method and a device, which effectively solve the signal interference problem between different private networks and ensure the network operation quality and efficiency of each private network.

[0005] In a first aspect, an embodiment of the present application provides a private network deployment method, including:

[0006] Obtaining expected parameters of a base station to be deployed, where the base station to be deployed is used to build a preset private network;

[0007] Based on the expected parameters, determining a neighboring base station corresponding to the base station to be deployed;

[0008] Determine the signal interference strength between the adjacent base station and the base station to be deployed;

[0009] Based on the signal interference strength, a deployment scheme corresponding to the base station to be deployed is determined, and the signal interference strength between the base station to be deployed corresponding to the deployment scheme and the adjacent base station is less than a preset threshold.

[0010] In a second aspect, an embodiment of the present application provides a private network deployment device, including:

[0011] A first acquisition module, used to acquire expected parameters of a base station to be deployed, where the base station to be deployed is used to build a preset private network;

[0012] A first determination module, configured to determine, based on the expected parameters, a neighboring base station corresponding to the base station to be deployed;

[0013] The first determination module is used to determine the signal interference strength between the adjacent base station and the base station to be deployed;

[0014] The first processing module is used to determine a deployment scheme corresponding to the base station to be deployed based on the signal interference strength, and the signal interference strength between the base station to be deployed corresponding to the deployment scheme and the adjacent base station is less than a preset threshold.

[0015] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a memory, and a processor; wherein the memory is used to store one or more computer instructions, wherein the one or more computer instructions, when executed by the processor, implement the private network deployment method shown in the first aspect above.

[0016] In a fourth aspect, an embodiment of the present invention provides a computer storage medium for storing a computer program, wherein the computer program enables a computer to implement the private network deployment method shown in the first aspect when executed.

[0017] In a fifth aspect, an embodiment of the present invention provides a computer program product, comprising: a computer program, which, when executed by a processor of an electronic device, enables the processor to execute the steps in the private network deployment method shown in the first aspect above.

[0018] In a sixth aspect, an embodiment of the present invention provides a vehicle control method, including:

[0019] Obtaining expected parameters of a base station to be deployed, where the base station to be deployed is used to build a vehicle control private network;

[0020] Based on the expected parameters, determining a neighboring base station corresponding to the base station to be deployed;

[0021] Determine the signal interference strength between the adjacent base station and the base station to be deployed;

[0022] Based on the signal interference strength, determining a deployment scheme corresponding to the base station to be deployed, wherein the signal interference strength between the base station to be deployed and the adjacent base station corresponding to the deployment scheme is less than a preset threshold;

[0023] Base station deployment operations are performed based on the deployment plan to obtain a vehicle control private network, and the vehicle control private network is used to implement vehicle control operations.

[0024] In a seventh aspect, an embodiment of the present invention provides a vehicle control device, including:

[0025] A second acquisition module is used to acquire expected parameters of a base station to be deployed, where the base station to be deployed is used to build a vehicle control private network;

[0026] A second determination module, configured to determine, based on the expected parameter, a neighboring base station corresponding to the base station to be deployed;

[0027] The second determination module is used to determine the signal interference strength between the adjacent base station and the base station to be deployed;

[0028] A second processing module, configured to determine, based on the signal interference strength, a deployment scheme corresponding to the base station to be deployed, wherein the signal interference strength between the base station to be deployed and the adjacent base station corresponding to the deployment scheme is less than a preset threshold;

[0029] The second processing module is used to perform base station deployment operations based on the deployment plan to obtain a vehicle control dedicated network, and the vehicle control dedicated network is used to implement vehicle control operations.

[0030] In the eighth aspect, an embodiment of the present application provides an electronic device, comprising: a memory, a processor; wherein the memory is used to store one or more computer instructions, wherein the one or more computer instructions, when executed by the processor, implement the vehicle control method shown in the sixth aspect above.

[0031] In a ninth aspect, an embodiment of the present invention provides a computer storage medium for storing a computer program, wherein the computer program enables a computer to implement the vehicle control method shown in the sixth aspect when executed.

[0032] In the tenth aspect, an embodiment of the present invention provides a computer program product, comprising: a computer program, which, when executed by a processor of an electronic device, enables the processor to execute the steps in the vehicle control method shown in the sixth aspect above.

[0033] The private network deployment method, vehicle control method and equipment provided in the embodiments of the present application determine the deployment scheme corresponding to the base station to be deployed based on the signal interference intensity. Since the signal interference intensity between the base station to be deployed and the adjacent base station corresponding to the deployment scheme is less than the preset threshold, the interference problem between the private networks of different enterprises is effectively solved, the network operation quality and efficiency of each private network are guaranteed, and the practicability of the method is effectively improved, which is conducive to market promotion and application. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to 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 application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0035] Figure 1A schematic diagram of the principle of a private network deployment method provided in an embodiment of the present application;

[0036] Figure 2 A flowchart of a private network deployment method provided in an embodiment of the present application;

[0037] Figure 3 A schematic diagram of a process for determining a deployment scheme corresponding to the base station to be deployed based on the signal interference strength provided in an embodiment of the present application;

[0038] Figure 4 A flowchart of another private network deployment method provided in an embodiment of the present application;

[0039] Figure 5 A flowchart of another private network deployment method provided in an embodiment of the present application;

[0040] Figure 6 A schematic diagram of the interference intensity between base stations and the interference intensity of opposite ends provided in an embodiment of the present application;

[0041] Figure 7 A signaling diagram of a private network deployment method provided for an application embodiment of the present application Figure 1 ;

[0042] Figure 8 A signaling diagram of a private network deployment method provided for an application embodiment of the present application Figure 2 ;

[0043] Fig. 9 A signaling diagram of a private network deployment method provided for an application embodiment of the present application Figure 3 ;

[0044] Fig.10 A schematic diagram of a vehicle control method provided in an embodiment of the present application;

[0045] Fig.11 A schematic diagram of a vehicle control method provided in an embodiment of the present application;

[0046] Fig.12 A schematic diagram of the structure of a private network deployment device provided in an embodiment of the present application;

[0047] Fig.13 For Fig.12 A schematic diagram of the structure of an electronic device corresponding to the private network deployment device provided in the illustrated embodiment;

[0048] Fig.14 A schematic diagram of the structure of a vehicle control device provided in an embodiment of the present application;

[0049] Fig.15 For Fig.14A schematic diagram of the structure of an electronic device corresponding to the vehicle control device provided in the illustrated embodiment. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0051] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. The singular forms of "a", "an", "the" and "the" used in the embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings, and "multiple" generally includes at least two, but does not exclude the inclusion of at least one.

[0052] It should be understood that the term "and / or" used in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0053] As used herein, the words "if" and "if" may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)", depending on the context.

[0054] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a product or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such a product or system. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the product or system including the elements.

[0055] In addition, the step sequence in the following method embodiments is only an example and not a strict limitation.

[0056] In order to facilitate technical personnel in this field to understand the technical solutions provided by the embodiments of the present application, the relevant technologies are briefly described below: When traditional operators deploy public networks, they often rely on their own design institutes to carry out network planning and network optimization operations. The targets are large-scale city-level networks with base stations ranging from tens of thousands to hundreds of thousands. This is not only costly but also time-consuming.

[0057] With the continuous development of communication networks, the increase of low-latency scenarios in private networks and industrial control, local data security and other reasons, enterprises are more inclined to choose to use exclusive network resources and customized fifth-generation mobile communication technology (5th Generation Mobile Communication Technology, referred to as 5G) private network services. Among them, for enterprises with higher requirements for network independence, flexibility and data security, they can choose to build their own 5G private networks with dedicated frequencies. In the process of private network deployment by enterprises, the general scale of base stations ranges from several to dozens. However, due to the different needs of enterprises for private networks, there are likely to be differences in bandwidth, frequency, uplink and downlink time slot ratio, transmission power, etc. When dedicated frequencies are widely used, for private networks deployed by enterprises with similar geographical locations, different private networks with similar frequencies are prone to inter-private network interference (IPNI), which will reduce the network operation quality and efficiency of each private network.

[0058] In order to solve the above technical problems, this embodiment provides a private network deployment method, a vehicle control method and a device, wherein the execution subject of the private network deployment method can be a private network deployment device, and the private network deployment device can be implemented as a local server or a server in the cloud. At this time, the private network deployment method can be executed in the cloud, and several computing nodes (cloud servers, network disks) can be deployed in the cloud, and each computing node has computing, storage and other processing resources. In the cloud, multiple computing nodes can be organized to provide a certain service. Of course, a computing node can also provide one or more services. The way to provide the service in the cloud can be to provide a service interface to the outside, and the user calls the service interface to use the corresponding service. The service interface includes software development kits (Software Development Kit, referred to as SDK), application programming interfaces (Application Programming Interface, referred to as API), and other forms.

[0059] For details, please refer to the attached Figure 1As shown, the private network deployment device can be communicatively connected with a client or a requesting end. For the solution provided in the embodiment of the present invention, the cloud can provide a service interface for the private network deployment service. The user calls the private network deployment service interface through the client / requesting end to trigger a request to call the private network deployment service interface to the cloud. The cloud determines the computing node that responds to the request and uses the processing resources in the computing node to perform specific processing operations for the private network deployment.

[0060] The client / requester can be any computing device with a certain data transmission capability. In specific implementation, the client / requester can be a mobile phone, a personal computer PC, a tablet computer, a setting application, etc. In addition, the basic structure of the client / requester can include: at least one processor. The number of processors depends on the configuration and type of the client / requester. The client / requester can also include a memory, which can be volatile, such as RAM can be non-volatile, such as read-only memory (ROM), flash memory, etc., or can also include both types. The memory usually stores an operating system (OS), one or more applications, and can also store program data, etc. In addition to the processing unit and the memory, the client / requester also includes some basic configurations, such as a network card chip, an IO bus, a display component, and some peripheral devices. Some peripheral devices can include, for example, a keyboard, a mouse, an input pen, a printer, etc. Other peripheral devices are well known in the art and will not be described in detail here.

[0061] A private network deployment device refers to a device that can provide private network deployment services in a network virtual environment, and usually refers to a device that uses the network to perform information planning and private network deployment operations. In terms of physical implementation, a private network deployment device can be any device that can provide computing services, respond to service requests, and perform processing, such as a cluster server, a conventional server, a cloud server, a cloud host, a virtual center, etc. The composition of a private network deployment device mainly includes a processor, a hard disk, a memory, a system bus, etc., which is similar to a general computer architecture.

[0062] In the above embodiment, the client can establish a network connection with the private network deployment device, and the network connection can be a wireless or wired network connection. If the client is connected to the private network deployment device by communication, the network standard of the mobile network can be any one of 2G (GSM), 2.5G (GPRS), 3G (WCDMA, TD-SCDMA, CDMA2000, UTMS), 4G (LTE), 4G+ (LTE+), WiMax, 5G, 6G, etc.

[0063] In an embodiment of the present application, the client can generate or obtain a private network deployment request, which may include the expected parameters of the base station to be deployed. In some instances, the expected parameters of the base station to be deployed may include at least one of the following: expected frequency, expected bandwidth, expected number of supported terminals, expected coverage range, and expected center location, etc. After obtaining the private network deployment request, the expected parameters of the base station to be deployed can be sent to the private network deployment device, so that the private network deployment device can perform private network deployment operations based on the expected parameters of the base station to be deployed.

[0064] A private network deployment device is used to receive and obtain the expected parameters of the base station to be deployed, and the above-mentioned base station to be deployed is used to build a preset private network; after obtaining the expected parameters of the base station to be deployed, the adjacent base stations corresponding to the base station to be deployed can be determined based on the expected parameters, and the number of adjacent base stations corresponding to the base station to be deployed can be one or more; after obtaining the adjacent base stations, the adjacent base stations and the base stations to be deployed can be analyzed and processed, so as to determine the signal interference strength between the adjacent base stations and the base stations to be deployed.

[0065] Since the signal interference intensity between the adjacent base stations and the base station to be deployed can affect the preset private network to be deployed, after obtaining the signal interference intensity between the adjacent base stations and the base station to be deployed, the signal interference intensity can be analyzed and processed, so as to determine the deployment scheme corresponding to the base station to be deployed. The signal interference intensity between the base station to be deployed and the adjacent base station corresponding to the deployment scheme is less than a preset threshold. Specifically, the deployment scheme corresponding to the base station to be deployed may include at least one of the following: target frequency, target bandwidth, number of base stations to be deployed, number of target terminals supported, target coverage range and target center position, etc.

[0066] The private network deployment method, vehicle control method and equipment provided in this embodiment determine the deployment scheme corresponding to the base station to be deployed based on the signal interference intensity. Since the signal interference intensity between the base station to be deployed and the adjacent base station corresponding to the deployment scheme is less than the preset threshold, this effectively solves the signal interference problem between different private networks, ensures the network operation quality and efficiency of the private network, and effectively improves the practicability of the method, which is conducive to market promotion and application.

[0067] Some embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the case where there is no conflict between the embodiments, the following embodiments and the features in the embodiments can be combined with each other. In addition, the step sequence in the following method embodiments is only an example and not a strict limitation.

[0068] Figure 2 A flowchart of a private network deployment method provided in an embodiment of the present application; see Attachment Figure 2As shown, this embodiment provides a private network deployment method, the execution subject of the method is a private network deployment device. It can be understood that the private network deployment device can be implemented as software, or a combination of software and hardware. Specifically, when the private network deployment device is implemented as hardware, it can be various electronic devices with private network deployment operations. When the private network deployment device is implemented as software, it can be installed in the electronic devices listed above. Specifically, the private network deployment method may include:

[0069] Step S201: Obtain expected parameters of a base station to be deployed, where the base station to be deployed is used to build a preset private network.

[0070] When the user has a demand for private network deployment, the private network deployment device can obtain the expected parameters of the base station to be deployed. In some instances, the expected parameters of the base station to be deployed may include at least one of the following: expected frequency, expected bandwidth, number of supported terminals, expected coverage, and expected center position, etc. In order to accurately implement the private network deployment operation, the expected parameters may at least include: expected coverage and expected center position, wherein the expected coverage may refer to the expected coverage of the preset private network to be deployed, and the expected center position may refer to the center position of the preset private network to be deployed, and the center position may be expressed by latitude and longitude information.

[0071] In addition, this embodiment does not limit the method for obtaining the expected parameters of the base station to be deployed. In some instances, the expected parameters of the base station to be deployed can be stored in a preset area or a preset device, and the expected parameters of the base station to be deployed can be obtained by accessing the preset area or the preset device. In other instances, the expected parameters of the base station to be deployed can be obtained through human-computer interaction operations. In this case, obtaining the expected parameters of the base station to be deployed may include: displaying a human-computer interaction interface; obtaining the parameter configuration operation input by the user in the human-computer interaction interface; based on the parameter configuration operation, the expected parameters of the base station to be deployed can be obtained, thereby effectively ensuring the accuracy and reliability of obtaining the expected parameters of the base station to be deployed.

[0072] Step S202: Based on the expected parameters, determine the neighboring base station corresponding to the base station to be deployed.

[0073] After obtaining the expected parameters of the base station to be deployed, the expected parameters can be analyzed and processed, so that the adjacent base station corresponding to the base station to be deployed can be determined. In some instances, the adjacent base station is often related to the distance between the base stations. Specifically, the adjacent base station can be determined by the center position of the preset private network to be constructed. At this time, based on the expected parameters, determining the adjacent base station corresponding to the base station to be deployed may include: obtaining the center position included in the expected parameters; based on the center position, determining the adjacent base station corresponding to the base station to be deployed.

[0074] Specifically, after obtaining the expected parameters, the expected parameters can be analyzed and processed first to determine the center position included in the expected parameters. After obtaining the center position, the center position can be analyzed and processed so as to determine the adjacent base stations corresponding to the base station to be deployed. In some instances, taking the center position as the starting point, all base stations within a preset distance value (for example, 200 meters, 300 meters or 500 meters, etc.) from the base station to be deployed are determined as adjacent base stations corresponding to the base station to be deployed, thereby effectively achieving accurate and reliable determination of adjacent base stations.

[0075] In some instances, adjacent base stations can be determined not only by the central location of a preset private network, but also by the coverage range of the preset private network to be constructed. At this time, based on the expected parameters, determining the adjacent base stations corresponding to the base stations to be deployed may include: obtaining the coverage range included in the expected parameters; based on the coverage range, determining the adjacent base stations corresponding to the base stations to be deployed.

[0076] Specifically, after obtaining the expected parameters, the expected parameters can be analyzed and processed first, so as to determine the coverage range included in the expected parameters. After obtaining the coverage range, the coverage range can be analyzed and processed, so as to determine the adjacent base stations corresponding to the base station to be deployed. In some instances, taking the edge of the coverage range as the starting point, all base stations within a range of a preset distance value (for example, 200 meters, 300 meters or 500 meters, etc.) from the base station to be deployed are determined as adjacent base stations corresponding to the base station to be deployed, thereby effectively achieving accurate and reliable determination of the adjacent base stations corresponding to the base station to be deployed.

[0077] In other instances, adjacent base stations may be determined not only by the central position or coverage of a preset private network, but also by the central position and coverage of a preset private network to be constructed. In this case, based on the expected parameters, determining the adjacent base stations corresponding to the base stations to be deployed may include: obtaining the coverage and central position included in the expected parameters; and determining the adjacent base stations corresponding to the base stations to be deployed based on the coverage and the central position.

[0078] Specifically, since the adjacent base stations corresponding to the base station to be deployed are often related to the distance between the base stations, after obtaining the expected parameters, the expected parameters can be analyzed and processed first, so that the coverage range and the center position included in the expected parameters can be determined. After obtaining the coverage range and the center position, the coverage range and the center position can be analyzed and processed, so that the adjacent base stations corresponding to the base station to be deployed can be determined. In some instances, the center position is used as the starting point or the edge of the coverage range is used as the starting point, and all base stations within a preset value of the distance from the base station to be deployed (for example, 200 meters, 300 meters or 500 meters, etc.) are determined as adjacent base stations corresponding to the base station to be deployed, thereby effectively achieving accurate and reliable determination of adjacent base stations.

[0079] Step S203: Determine the signal interference strength between the adjacent base station and the base station to be deployed.

[0080] After obtaining the adjacent base station, the adjacent base station and the base station to be deployed can be analyzed and processed to obtain the signal interference strength between the adjacent base station and the base station to be deployed. In some instances, the signal interference strength is often related to the distance between the adjacent base station and the base station to be deployed, for example: the closer the distance between the adjacent base station and the base station to be deployed, the greater the signal interference strength; the farther the distance between the adjacent base station and the base station to be deployed, the smaller the signal interference strength. Therefore, determining the signal interference strength between the adjacent base station and the base station to be deployed can include: obtaining the inter-base station distance between the adjacent base station and the base station to be deployed; and determining the signal interference strength between the adjacent base station and the base station to be deployed based on the inter-base station distance.

[0081] In other instances, the signal interference strength is not only related to the distance between the adjacent base station and the base station to be deployed, but also related to the inter-base station environment between the adjacent base station and the base station to be deployed. At this time, determining the signal interference strength between the adjacent base station and the base station to be deployed may include: obtaining the used parameters of the adjacent base station; determining the distance information between the adjacent base station and the base station to be deployed and the inter-base station environment; determining the signal interference strength between the adjacent base station and the base station to be deployed based on the used parameters, expected parameters, distance information and inter-base station environment.

[0082] Among them, for adjacent base stations, the used parameters of the adjacent base stations may include at least one of the following: used frequency points, used bandwidth, used transmission frequency points, used uplink and downlink ratios, etc. Since the signal interference strength is related to the above-mentioned used parameters, in order to accurately obtain the signal interference strength between the adjacent base station and the base station to be deployed, the used parameters of the adjacent base station can be obtained. In some instances, the used parameters of the adjacent base station can be stored in a preset area, and the used parameters of the adjacent base station can be obtained by accessing the preset area.

[0083] In addition, since the signal interference strength is not only related to the used parameters of the adjacent base station, but also related to whether there are obstacles between the adjacent base station and the base station to be deployed, in order to accurately obtain the signal interference strength between the adjacent base station and the base station to be deployed, after obtaining the adjacent base station and the base station to be deployed, the adjacent base station and the base station to be deployed can be analyzed and processed, so that the distance information between the adjacent base station and the base station to be deployed and the environment between base stations can be determined. The distance information between the adjacent base station and the base station to be deployed can be determined by the location information of the adjacent base station and the location information of the base station to be deployed, and the environment between base stations can be determined by querying map information, and the environment between base stations may include obstructions and obstacles between adjacent base stations and base stations.

[0084] After obtaining the used parameters, expected parameters, distance information and the environment between base stations, the used parameters, expected parameters, distance information and the environment between base stations can be analyzed and processed, so that the signal interference strength between the adjacent base station and the base station to be deployed can be determined. In some instances, the signal interference strength can be obtained by analyzing and processing the used parameters, expected parameters, distance information and the environment between base stations using a preset machine learning model or a preset algorithm. At this time, based on the used parameters, expected parameters, distance information and the environment between base stations, determining the signal interference strength between the adjacent base station and the base station to be deployed may include: obtaining a preset algorithm or a pre-trained machine learning model for determining the signal interference strength; inputting the used parameters, expected parameters, distance information and the environment between base stations into the machine learning model to obtain the signal interference strength output by the machine learning model; or, using a preset algorithm to analyze and process the used parameters, expected parameters, distance information and the environment between base stations to obtain the signal interference strength, thereby effectively ensuring the accuracy and reliability of determining the signal interference strength.

[0085] Step S204: Based on the signal interference strength, determine a deployment scheme corresponding to the base station to be deployed, and the signal interference strength between the base station to be deployed and the adjacent base station corresponding to the deployment scheme is less than a preset threshold.

[0086] Since the signal interference intensity may be related to the distance between the adjacent base station and the base station to be deployed, the inter-base station environment between the adjacent base station and the base station to be deployed, and the used parameters of the adjacent base station, and the above parameters can often directly affect the deployment operation of the base station to be deployed, for example: when the distance between the adjacent base station and the base station to be deployed is close, in order to minimize the signal interference intensity, the frequency of the base station to be deployed and the used frequency of the adjacent base station can be set to be different. Therefore, after obtaining the signal interference intensity, the signal interference intensity can be analyzed and processed, and the deployment scheme corresponding to the base station to be deployed can be determined. In some instances, the deployment scheme corresponding to the base station to be deployed can be obtained by analyzing and processing the signal interference intensity through a preset machine learning model. At this time, based on the signal interference intensity, determining the deployment scheme corresponding to the base station to be deployed may include: obtaining a machine learning model for determining the deployment scheme; inputting the signal interference intensity into the machine learning model, obtaining the deployment scheme corresponding to the base station to be deployed output by the machine learning model, and the obtained deployment scheme may include at least one of the following: the target frequency of the base station to be deployed, the target bandwidth, the number of terminals that can be supported, the target coverage range, the target center position, the number of base stations to be deployed, the private network deployment cost, etc. It should be noted that the signal interference intensity between the base station to be deployed and the adjacent base station corresponding to the deployment plan is less than the preset threshold, which effectively solves the signal interference problem between different private networks and ensures the network operation quality and efficiency of each private network.

[0087] After determining the deployment plan corresponding to the base station to be deployed, the method in this embodiment may include: judging whether the generated deployment plan can meet user needs. If the generated deployment plan can meet user needs, private network deployment operations can be performed based on the deployment plan; if the generated deployment plan does not meet user needs, the user can adjust the generated deployment plan according to the needs. At this time, a configuration page for adjusting the deployment plan can be displayed, and the execution operation entered by the user in the configuration page can be obtained, and the adjusted deployment plan is obtained based on the execution operation.

[0088] In addition, after determining the deployment plan corresponding to the base station to be deployed, a private network deployment operation can be performed based on the determined deployment plan to obtain a preset private network. The obtained preset private network can control the virtual reality device / preset device (for example, manned vehicles, unmanned vehicles, etc.) located in the network. For example: in the preset private network, obtain the image to be displayed corresponding to the virtual reality device; send the image to be displayed to the virtual reality device, and use the virtual reality device to render and display the image to be displayed; in the preset private network, obtain the control signal corresponding to the preset device, and control the preset device based on the control signal.

[0089] In other instances, in order to meet the user's network deployment needs, a deployment plan template can be generated in combination with the application scenario, so that the network deployment operation can be performed directly based on the deployment plan template in the same subsequent application scenario. At this time, after determining the deployment plan corresponding to the base station to be deployed based on the signal interference intensity, the method in this embodiment may also include: obtaining the application scenario of the network deployment, the application scenario may include at least one of the following: metaverse scenario, autonomous driving scenario, live broadcast scenario, etc., determining the deployment plan template corresponding to the deployment plan, and associating the application scenario with the deployment plan template for storage, which effectively realizes that different deployment plan templates can correspond to different application scenarios, so that when the same application scenario is encountered later, The deployment plan template corresponding to the application scenario can be directly determined. For example, when the application scenario is a metaverse scenario, deployment plan template 1 can be determined based on the metaverse scenario, and then the private network of the metaverse scenario can be deployed based on deployment plan template 1; when the application scenario is an autonomous driving scenario, deployment plan template 2 can be determined based on the autonomous driving scenario, and then the private network of the autonomous driving scenario can be deployed based on deployment plan template 2; when the application scenario is a live broadcast scenario, deployment plan template 3 can be determined based on the live broadcast scenario, and then the private network of the live broadcast scenario can be deployed based on deployment plan template 3. This effectively realizes the network deployment operation based on the deployment plan template, effectively improving the quality and efficiency of network deployment.

[0090] The private network deployment method provided in this embodiment obtains the expected parameters of the base station to be deployed, and determines the adjacent base station corresponding to the base station to be deployed based on the expected parameters; then determines the signal interference intensity between the adjacent base station and the base station to be deployed, and determines the deployment scheme corresponding to the base station to be deployed based on the signal interference intensity. Since the signal interference intensity between the base station to be deployed and the adjacent base station corresponding to the deployment scheme is less than a preset threshold, the interference problem between different private networks is effectively solved, and the network operation quality and efficiency of the private network are guaranteed, further improving the practicability of the method.

[0091] Figure 3 A flow chart of determining a deployment scheme corresponding to a base station to be deployed based on signal interference strength provided in an embodiment of the present application; based on the above embodiment, refer to the attached Figure 3 As shown, the deployment scheme corresponding to the base station to be deployed can not only be obtained by analyzing and processing the signal interference intensity through the machine learning model, but also by first determining the target parameters of the base station to be deployed, and then determining the deployment scheme corresponding to the base station to be deployed based on the target parameters of the base station to be deployed. At this time, based on the signal interference intensity, determining the deployment scheme corresponding to the base station to be deployed may include:

[0092] Step S301: based on the signal interference strength, target parameters of the base station to be deployed are determined, and the signal interference strength between the base station to be deployed and the adjacent base station that meets the target parameters is less than a preset threshold.

[0093] Among them, in order to accurately determine the deployment plan corresponding to the base station to be deployed, after obtaining the signal interference strength, the signal interference strength can be analyzed and processed first, so as to obtain the target parameters of the base station to be deployed. The target parameters may include at least one of the following: target frequency, usable bandwidth, number of accessible terminals, coverage range, usable period, and uplink and downlink ratio, etc. It should be noted that the signal interference strength between the base station to be deployed that meets the target parameters and the adjacent base station is less than a preset threshold.

[0094] In some instances, since the signal interference intensity is often directly correlated with the frequency of the base station, when the target parameters include the target frequency, determining the target parameters of the base station to be deployed based on the signal interference intensity may include: obtaining the expected frequency included in the expected parameters; determining the signal interference intensity corresponding to the expected frequency; and when the signal interference intensity is less than a preset threshold, determining the expected frequency as the target frequency.

[0095] When the user is performing a private network deployment operation, the user can directly input the expected parameters of the base station to be deployed into the private network deployment device. The expected parameters may include the expected frequency. After obtaining the expected frequency, the expected frequency can be analyzed and processed to determine the signal interference strength corresponding to the expected frequency. It should be noted that the signal interference strength corresponding to the expected frequency may be greater than or equal to a preset threshold, or the signal interference strength corresponding to the expected frequency may also be less than the preset threshold. Specifically, when the signal interference strength is greater than or equal to the preset threshold, it means that the signal interference strength between the preset private network to be constructed and the existing private network is large, and therefore the expected frequency cannot be determined as the target frequency; and when the signal interference strength is less than the preset threshold, it means that the signal interference strength between the preset private network to be constructed and the existing private network is small, and therefore the expected frequency can be determined as the target frequency, thereby effectively ensuring the accuracy and reliability of the determination of the target frequency.

[0096] For example, after obtaining the expected frequency of the base station to be deployed, if the expected frequency is frequency 1, the signal interference strength 1 corresponding to frequency 1 can be obtained. If the signal interference strength 1 is less than the preset threshold, it means that the signal interference strength between the base station to be deployed at frequency 1 and the adjacent base station is relatively small. Therefore, frequency 1 can be directly determined as the target frequency of the base station to be deployed.

[0097] If the expected frequency is frequency 2, the signal interference strength 2 corresponding to frequency 2 can be obtained. If the signal interference strength 2 is greater than or equal to the preset threshold, it means that the signal interference strength between the base station to be deployed at frequency 2 and the adjacent base station is relatively large. Therefore, in order to solve the signal interference problem between different private networks, it is prohibited to determine frequency 2 as the target frequency of the base station to be deployed, thereby achieving accurate and reliable determination of the target frequency.

[0098] In some instances, when the target parameters include a target frequency, the target frequency of the base station to be deployed can be determined not only by the expected frequency of the base station to be deployed, but also by the used frequency of an adjacent base station. At this time, based on the signal interference intensity, determining the target parameters of the base station to be deployed may include: obtaining the used frequency of the adjacent base station; determining the signal interference intensity corresponding to the used frequency; when the signal interference intensity is greater than or equal to a preset threshold, determining the target frequency based on the used frequency, and the target frequency is different from the used frequency.

[0099] Specifically, after obtaining the adjacent base stations, the used frequency points of the adjacent base stations can be obtained first. After obtaining the used frequency points, the used frequency points can be analyzed and processed to determine the signal interference strength corresponding to the used frequency points. It should be noted that the signal interference strength corresponding to the used frequency points may be greater than or equal to the preset threshold, or the signal interference strength corresponding to the used frequency points may also be less than the preset threshold. When the signal interference strength is greater than or equal to the preset threshold, it means that the signal interference strength between the preset private network to be constructed and the existing private network is large. In order to solve the signal interference problem between different private networks, after obtaining the used frequency points, the used frequency points can be analyzed and processed to determine the target frequency points. It should be noted that in order to ensure that the signal interference strength between the preset private network to be constructed and the existing private network is small, the target frequency points to be determined are different from the used frequency points, thereby effectively ensuring the accuracy and reliability of the determination of the target frequency points.

[0100] For example, after acquiring the adjacent base station, the used frequency points of the adjacent base station can be determined. For example, the used frequency points of the adjacent base station may include used frequency point 1, used frequency point 2, used frequency point 3 and used frequency point 4. After acquiring used frequency point 1, used frequency point 2, used frequency point 3 and used frequency point 4, the signal interference strength corresponding to the above-mentioned each used frequency point can be determined. At this time, the signal interference strength may include strength 1 corresponding to used frequency point 1, strength 2 corresponding to used frequency point 2, strength 3 corresponding to used frequency point 3 and strength 4 corresponding to used frequency point 4.

[0101] After obtaining strength 1, strength 2, strength 3 and strength 4, strength 1, strength 2, strength 3 and strength 4 can be analyzed and compared with the preset threshold. When strength 1, strength 2, strength 3 and strength 4 are all greater than or equal to the preset threshold, it means that the signal interference intensity between the base station to be deployed and the adjacent base station is large. Therefore, the target frequency can be determined based on the above-mentioned used frequency points. At this time, the target frequency point is different from all the used frequency points. For example, the target frequency point can be the used frequency point 5.

[0102] Alternatively, after obtaining strength 1, strength 2, strength 3 and strength 4, strength 1, strength 2, strength 3 and strength 4 can be analyzed and compared with a preset threshold. When strength 1, strength 2, strength 3 are all greater than or equal to the preset threshold, and strength 4 is less than the preset threshold, it means that the signal interference intensity between the base station to be deployed and a part of the adjacent base stations is relatively large. Therefore, the target frequency can be determined based on the used frequency points of the above part. The target frequency at this time is different from different used frequency points (used frequency point 1, used frequency point 2, used frequency point 3). The target frequency at this time can be used frequency point 4 or other frequency points.

[0103] Step S302: Based on the target parameters, a deployment plan corresponding to the base station to be deployed is generated.

[0104] After obtaining the target parameters, the target parameters can be analyzed and processed to generate a deployment plan corresponding to the base station to be deployed. In some instances, the deployment plan corresponding to the base station to be deployed can be obtained by analyzing and processing the target parameters using a pre-trained machine learning model. At this time, based on the target parameters, generating a deployment plan corresponding to the base station to be deployed can include: obtaining a pre-trained machine learning model for determining the deployment plan, and inputting the target parameters into the machine learning model, so as to obtain the deployment plan corresponding to the base station to be deployed outputted in the machine learning model.

[0105] In other instances, the deployment plan can not only be obtained by analyzing and processing the target parameters through a machine learning model, but also can be combined with the private network deployment cost to generate a deployment plan corresponding to the base station to be deployed. At this time, based on the target parameters, generating a deployment plan for the base station to be deployed may include: obtaining the private network deployment cost corresponding to the target parameters; based on the target parameters and the private network deployment cost, generating a deployment plan for the base station to be deployed.

[0106] Specifically, after obtaining the target parameters, since the target parameters may include information such as the number of base stations to be deployed, and different numbers of base stations to be deployed may correspond to different private network deployment costs. Therefore, in order to further facilitate the user's private network deployment operation, after obtaining the target parameters, the target parameters can be analyzed and processed to obtain the private network deployment cost corresponding to the target parameters. After obtaining the private network deployment cost, a deployment plan for the base stations to be deployed can be generated based on the target parameters and the private network deployment cost. The number of generated deployment plans can be one or more, and different deployment plans may correspond to different private network deployment costs.

[0107] Example 1, when the number of base stations to be deployed included in the target parameters is 3, the manufacturers providing base stations with the same configuration include Manufacturer A and Manufacturer B. The cost required by Manufacturer A is M1, the cost required by Manufacturer B is M2, and the cost required by Manufacturer C is M3. If M3 < M1 < M2, then a deployment plan can be generated based on Scenario C and the base stations provided by Manufacturer A. In some instances, a deployment plan can be directly generated based on the base stations provided by Scenario C; thus effectively achieving that for base stations with the same configuration, at least one deployment plan can be generated by selecting a manufacturer with a lower required cost.

[0108] Example 2, when the target parameters include the number of base stations to be deployed and the frequency points of the base stations, when the number of base stations to be deployed is N1 and the frequency point of the base stations is F1, then based on the number of base stations to be deployed and the frequency points of the base stations, it can be determined that the cost to be paid by the user is M11; when the number of base stations to be deployed is N2 and the frequency point of the base stations is F2, then based on the number of base stations to be deployed and the frequency points of the base stations, it can be determined that the cost to be paid by the user is M12; when the number of base stations to be deployed is N3 and the frequency point of the base stations is F3, then based on the number of base stations to be deployed and the frequency points of the base stations, it can be determined that the cost to be paid by the user is M13. When M12 < M11 < M13, then two deployment plans for the base stations to be deployed can be generated based on M12 and M11. One deployment plan includes N2 base stations to be deployed, and the frequency point of the base stations is F2; the other deployment plan includes N1 base stations to be deployed, and the frequency point of the base stations is F1. In some instances, a deployment plan can be directly generated based on N2 base stations to be deployed and the frequency point of the base stations being F2; thus effectively achieving that for base stations with different numbers and different frequency points, at least one deployment plan can be generated by selecting a plan with a lower required cost.

[0109] In some other instances, the deployment plan can not only be combined with the private network deployment cost to generate a deployment plan corresponding to the base station to be deployed, but also combined with the recommended equipment information of the base station to be deployed to generate a deployment plan corresponding to the base station to be deployed. At this time, based on the target parameters, generating the deployment plan corresponding to the base station to be deployed may include: based on the target parameters, determining the recommended equipment information of the base station to be deployed; based on the target parameters and the recommended equipment information, generating the deployment plan corresponding to the base station to be deployed.

[0110] Specifically, after obtaining the target parameters, since the target parameters may include information such as the configuration information of the base station to be deployed, and different configurations of the base stations to be deployed may correspond to different deployment plans, in order to meet the private network deployment needs of different users, after obtaining the target parameters, the target parameters may be analyzed and processed, so as to obtain the recommended device information of the base station to be deployed, and the recommended device information may include the recommended configuration information of the base station to be deployed and the recommended number of base stations to be deployed. After obtaining the recommended device information, a deployment plan for the base station to be deployed may be generated based on the target parameters and the recommended device information. The number of generated deployment plans may be one or more, and different deployment plans may correspond to different recommended device information.

[0111] In other instances, after determining the target parameters of the base station to be deployed, in order to improve the flexibility and reliability of the use of the method, the present embodiment may also include a technical solution in which the user can adjust the target parameters according to needs. At this time, the method in the present embodiment may also include: obtaining the adjustment operation of the user on the target parameter input; based on the adjustment operation, obtaining adjusted parameters corresponding to the target parameters; based on the adjusted parameters, determining the adjusted interference intensity between the adjacent base station and the base station to be deployed; when the adjusted interference intensity is less than a preset threshold, generating a deployment plan with the base station to be deployed based on the adjusted parameters; when the adjusted interference intensity is greater than or equal to the preset threshold, prohibiting the generation of a deployment plan with the base station to be deployed based on the adjusted parameters.

[0112] After obtaining the target parameters, the user can identify whether the target parameters meet the user's needs. When the target parameters meet the user's needs, it is allowed to generate a deployment plan corresponding to the base station to be deployed based on the target parameters, so that a deployment plan that meets the user's needs can be obtained. When the target parameters do not meet the user's needs, in order to obtain a private network deployment plan that meets the user's needs, the user can adjust the target parameters. At this time, a configuration page for adjusting the target parameters can be displayed, and the adjustment operation entered by the user for the target parameters in the configuration page can be obtained. Then, based on the adjustment operation, the adjusted parameters corresponding to the target parameters can be obtained, and the obtained adjusted parameters are different from the target parameters.

[0113] After the adjusted parameters are obtained, since the target parameters corresponding to the base station to be deployed have changed to the adjusted parameters, the base station to be deployed corresponding to the adjusted parameters may have a large signal interference intensity with the adjacent base station. Therefore, in order to avoid the influence of the signal interference intensity on the operation status of different private networks, after the adjusted parameters are obtained, the adjusted parameters can be analyzed and processed by the method steps in the above embodiment, so that the adjusted interference intensity between the adjacent base station and the base station to be deployed can be determined. When the adjusted interference intensity is less than the preset threshold, it means that the signal interference intensity between the base station to be deployed required by the adjusted parameters and the adjacent base station is small, and it is allowed to generate a deployment plan with the base station to be deployed. When the adjusted interference intensity is greater than or equal to the preset threshold, it means that the signal interference intensity between the base station to be deployed required by the adjusted parameters and the adjacent base station is large. At this time, in order to ensure the operation quality and effect of each private network, it is prohibited to generate a deployment plan with the base station to be deployed based on the adjusted parameters, thereby effectively ensuring that a deployment plan that meets user needs and can solve the interference problem between different private networks can be obtained, further improving the flexibility and reliability of the use of this method.

[0114] In this embodiment, the target parameters of the base station to be deployed are determined by the signal interference intensity, and then a deployment plan corresponding to the base station to be deployed is generated based on the target parameters, thereby effectively ensuring the accuracy and reliability of the determination of the deployment plan and further improving the practicality of the private network deployment method.

[0115] Figure 4 A flowchart of another private network deployment method provided in an embodiment of the present application; based on any of the above embodiments, refer to the attached Figure 4 As shown, after obtaining the expected parameters of the base station to be deployed, in order to improve the security and reliability of the private network deployment, the method in this embodiment may also include a technical solution for legitimacy identification of the subject of the private network deployment. At this time, the method in this embodiment may also include:

[0116] Step S401: Acquire subject information corresponding to the base station to be deployed.

[0117] Step S402: Determine whether the subject is qualified for private network deployment based on the subject information.

[0118] Step S403: When the subject has the qualification for private network deployment, it is allowed to determine the adjacent base station corresponding to the base station to be deployed based on the expected parameters.

[0119] Step S404: When the subject does not have the qualification for private network deployment, it is prohibited to determine the adjacent base station corresponding to the base station to be deployed based on the expected parameters.

[0120] Among them, after obtaining the expected parameters of the base station to be deployed, the subject information corresponding to the base station to be deployed can be obtained. The subject information may include the enterprise name, the name of the individual business, the name of a single user or a preset name, etc. Generally, when the user has a network deployment requirement, the private network deployment device can directly obtain the subject information corresponding to the base station to be deployed.

[0121] Since not all entities are qualified for private network deployment, in order to be able to perform stable private network deployment operations on entities that are qualified for private network deployment, private network deployment operations are prohibited for entities that are not qualified for private network deployment. After obtaining the entity information corresponding to the base station to be deployed, it is possible to determine whether the entity is qualified for private network deployment based on the entity information. Specifically, determining whether the entity is qualified for private network deployment based on the entity information may include: obtaining a pre-configured set of standard entities that are qualified for private network deployment; when the standard entity set includes the above-mentioned entity information corresponding to the base station to be deployed, it is determined that the current entity is qualified for private network deployment; when the above-mentioned entity information corresponding to the base station to be deployed is not included in the standard entity set, it is determined that the current entity is not qualified for private network deployment.

[0122] When the subject is qualified for private network deployment, it means that the private network deployment request obtained by the private network deployment device is a legal request, and it is allowed to determine the adjacent base station corresponding to the base station to be deployed based on the expected parameters to implement the private network deployment operation. When the subject is not qualified for private network deployment, it means that the private network deployment request obtained by the private network deployment device is an illegal request, and it is prohibited to determine the adjacent base station corresponding to the base station to be deployed based on the expected parameters.

[0123] In some other instances, in order to improve the practicality of the method, when the subject does not have the qualifications for private network deployment, the present embodiment may include guiding the user to apply for the qualifications for private network deployment; wherein, guidance information for guiding the user to apply for the qualifications for private network deployment is pre-configured, and the guidance information may be stored in a preset area or a preset device. The method in the present embodiment may include: obtaining guidance information for guiding the user to apply for the qualifications for private network deployment through a preset area or a preset device, and the guidance information may include the application process for the qualifications for private network deployment, the application nodes, the processing time required for each application node, etc.; and then the guidance information may be displayed to guide the user to apply for the qualifications for private network deployment.

[0124] In this embodiment, by acquiring the subject information corresponding to the base station to be deployed, when the subject has the qualification for private network deployment, it is allowed to determine the adjacent base stations corresponding to the base station to be deployed based on the expected parameters; when the subject does not have the qualification for private network deployment, it is prohibited to determine the adjacent base stations corresponding to the base station to be deployed based on the expected parameters, thereby effectively achieving that when the private network deployment operation is a legal operation, a legal private network deployment operation is performed; when the private network deployment operation is an illegal operation, an illegal private network deployment operation is prohibited, thereby effectively achieving the private network deployment operation that can be performed safely, legally and effectively, and further improving the safety and reliability of the use of this method.

[0125] Figure 5 A flowchart of another private network deployment method provided in an embodiment of the present application; based on any of the above embodiments, refer to the attached Figure 5 As shown, this embodiment can not only implement the private network deployment operation, but also perform a health check operation on the network. At this time, the method in this embodiment can also include:

[0126] Step S501: Acquire the network health corresponding to the network in the preset area, where the network health is negatively correlated with the signal interference strength between base stations in the preset area.

[0127] For the network deployed in the preset area, the private network deployment device in this embodiment can perform network health detection operations in real time or periodically, and at this time, the private network deployment device can obtain the network health corresponding to the network in the preset area, wherein this embodiment does not limit the specific method of obtaining the network health. In some instances, the network health is negatively correlated with the signal interference strength between base stations in the preset area. At this time, obtaining the network health corresponding to the network in the preset area may include: obtaining the signal interference strength corresponding to the network in the preset area, wherein the specific method of obtaining the signal interference strength is similar to the method of obtaining the signal interference strength in the above embodiment, and will not be repeated here. After obtaining the signal interference strength, the network health corresponding to the network in the preset area can be determined based on the signal interference strength. In some instances, the greater the signal interference strength, the smaller the network health; the smaller the signal interference strength, the greater the network health.

[0128] In some other examples, the signal interference strength may include the inter-base station interference strength between two base stations and the peer interference strength between the base station and the terminal (also referred to as inter-cell interference, Inter Cell Interference, referred to as ICI). Figure 6As shown, obtaining the network health corresponding to the network in the preset area may include: obtaining all base stations located in the preset area; determining the inter-base station interference strength between any two base stations and the opposite-end interference strength between the base station and the terminal; based on all the inter-base station interference strengths and the opposite-end interference strengths, determining the network health corresponding to the network in the preset area.

[0129] Among them, the interference strength between base stations and the interference strength of the opposite end are both obtained through test signals. Specifically, the test signal can be obtained, and then the private network device can be controlled to send the test signal outward, and a feedback signal corresponding to the test signal is received through the private network device, and the feedback signal is analyzed and processed using a preset algorithm, so as to obtain the interference strength between base stations and the interference strength of the opposite end; of course, technical personnel in this field can use other existing methods to obtain the interference strength between base stations and the interference strength of the opposite end, as long as the accuracy and reliability of obtaining the interference strength between base stations and the interference strength of the opposite end can be guaranteed.

[0130] After obtaining the interference strength between base stations and the interference strength between opposite ends, since the network health is related to the signal interference strength, and the signal interference strength is often related to each base station located in the preset area, in order to accurately obtain the network health, all base stations located in the preset area can be obtained, and then all base stations are analyzed and processed, so that the interference strength between any two base stations and the opposite end interference strength between the base station and the terminal can be determined.

[0131] Since the interference strength between base stations and the interference strength of opposite ends have different degrees of influence on the health of the network, after obtaining all the interference strengths between base stations and the interference strengths of opposite ends, all the interference strengths between base stations and the interference strengths of opposite ends can be analyzed and processed, so as to determine the health of the network corresponding to the network in the preset area. In some instances, based on all the interference strengths between base stations and the interference strengths of opposite ends, determining the health of the network corresponding to the network in the preset area may include: obtaining weight information corresponding to the interference strength between base stations and the interference strength of opposite ends; wherein the weight information of the interference strength between base stations and the weight information of the interference strength of opposite ends may be the same or different, and then based on the weight information corresponding to the interference strength between base stations and the interference strength of opposite ends, the interference strength between base stations and the interference strength of opposite ends may be weighted and summed to obtain the health of the network.

[0132] Step S502: When the network health is less than a preset threshold, an alarm message corresponding to a preset area is generated.

[0133] After obtaining the network health, the network health can be analyzed and compared with the preset threshold. When the network health is greater than or equal to the preset threshold, it means that the network in the preset area is in good condition at this time; when the network health is less than the preset threshold, it means that the network in the preset area is in poor condition at this time. Therefore, in order to enable the user to promptly understand the network operation status at this time, an alarm information corresponding to the network in the preset area can be generated. The alarm information may include sound alarm information, light alarm information, push information, etc.; the alarm information is used to remind the user to promptly understand that the network operation status in the preset area is poor at this time, so that the network in the preset area can be maintained, adjusted or inspected in a timely and rapid manner to ensure the quality and efficiency of network operation.

[0134] In other instances, in order to further improve the practicality of the method, when the network health is less than a preset threshold, the present embodiment may also include a technical solution for adjusting the network in a preset area. Specifically, the method in the present embodiment may include: obtaining adjusted frequency points corresponding to at least some of the base stations in the preset area; performing a frequency change operation on at least some of the base stations in the preset area based on the adjusted frequency points, and the network health of the network in the preset area corresponding to the adjusted frequency points is greater than or equal to the preset threshold.

[0135] Specifically, when the network health is less than the preset threshold, it means that the network operation status in the preset area is poor at this time. In order to ensure the quality and effect of network operation, the adjusted frequency points corresponding to at least some base stations in the preset area can be obtained. The adjusted frequency points are different from the original frequency points corresponding to at least some base stations. The method for determining the adjusted frequency points can be similar to the method for determining the target frequency points in the above embodiment. For details, please refer to the above statements and will not be repeated here. After obtaining the adjusted frequency points, the frequency point replacement operation can be performed on at least some base stations in the preset area based on the adjusted frequency points. It should be noted that the network health level in the preset area corresponding to the adjusted frequency points is greater than or equal to the preset threshold, so that the network in the preset area with abnormal operation can be adjusted from an abnormal state to a normal state.

[0136] In example 1, the preset area includes base station 1, base station 2, base station 3, and base station 4. When the network health of the network in the preset area is less than a preset threshold, adjustment operations can be performed on at least some of the base stations in the preset area. For example, through a simulation test operation, base station 2 and base station 3 can be adjusted to make the network health of the network in the preset area greater than or equal to the preset threshold. At this time, the adjusted frequency 2 corresponding to base station 2 and the adjusted frequency 3 corresponding to base station 3 can be determined. The adjusted frequency 2 and the adjusted frequency 3 can be the same or different. Then, the frequency of base station 2 can be adjusted to the adjusted frequency 2, and the frequency of base station 3 can be adjusted to the adjusted frequency 3, thereby effectively improving the network health of the network in the preset area, and the network health of the network in the preset area is greater than or equal to the preset threshold.

[0137] Example 2, the preset area includes base station 1, base station 2, base station 3, and base station 4. When the network health of the network in the preset area is less than the preset threshold, adjustment operations can be performed on all base stations in the preset area, that is, all base stations in the preset area can be re-planned. At this time, the adjusted frequency 1 corresponding to base station 1, the adjusted frequency 2 corresponding to base station 2, the adjusted frequency 3 corresponding to base station 3, and the adjusted frequency 4 corresponding to base station 4 can be determined. Any two of the above adjusted frequencies can be the same or different. Then, the frequency of base station 1 can be adjusted to adjusted frequency 1, the frequency of base station 2 can be adjusted to adjusted frequency 2, the frequency of base station 3 can be adjusted to adjusted frequency 3, and the frequency of base station 4 can be adjusted to adjusted frequency 4, thereby effectively improving the network health of the network in the preset area, and the network health of the network in the preset area is greater than or equal to the preset threshold. Compared with the implementation method of Example 1 above, it can be seen that the adjustment range corresponding to the implementation method in Example 2 is larger than the adjustment range corresponding to the implementation method in Example 1, which may increase the user's maintenance cost for the base station and also increase the scope of updating and maintenance of the base station.

[0138] In addition, when the frequency point change operation is performed on at least some base stations in the preset area based on the adjusted frequency point, in order to reduce the impact on users, the frequency point change operation is performed on at least some base stations in the preset area based on the adjusted frequency point in this embodiment may include: obtaining a network change period corresponding to the base station; sending the adjusted frequency point to the corresponding base station, so that the base station adjusts the current frequency point to the adjusted frequency point during the network change period.

[0139] Among them, for the base station, during the process of deploying or maintaining the base station, a network change period corresponding to the base station is pre-configured. The network change period can be a time period when the base station is used less frequently or processes less data. In some instances, the network change period can be the time period corresponding to 2 a.m. to 4 a.m. of a day; or, the network change period can be the time period corresponding to 2 a.m. to 3 a.m. of a day, and so on. Different base stations can have different corresponding network change periods.

[0140] Since the usage frequency of the base station is low or the amount of data processed is small when the base station is in the network change period, the frequency point change operation can be performed when the base station is in the network change period. At this time, the private network deployment device can first send the adjusted frequency point corresponding to each base station to the corresponding base station. After the base station obtains the adjusted frequency point, the current frequency point of the base station can be adjusted to the adjusted frequency point during the network change period, thereby effectively realizing the frequency point change operation.

[0141] In this embodiment, by obtaining the network health corresponding to the network in the preset area, when the network health is less than the preset threshold, an alarm message corresponding to the preset area is generated, thereby effectively implementing a health detection operation on the network in the preset area. This not only helps users to understand the network operation status in a timely manner, but also can remind users to adjust the network in a timely manner through the alarm message when the network operation is abnormal, thereby further improving the quality and efficiency of the network operation.

[0142] In specific applications, taking the private network frequency management unit as a private network deployment device as an example, the private network frequency management unit is connected to the geographic information database, the enterprise private network information database and the radio regulatory department interface communication. This application embodiment provides a private network frequency management method, which can avoid deploying private network frequency bands with similar frequencies in geographically close enterprises, thereby effectively solving the problem of interference between private networks caused by the lack of interference management and interference coordination solutions in the current private network construction process. For details, refer to the attached Figure 7 As shown, the method for managing the private network frequency provided in this application embodiment 1 may include the following steps:

[0143] Step 1: Input a first license application to the private network frequency management unit through a WEB page, where the first license application includes private network deployment requirements.

[0144] Among them, before building or deploying a private network, enterprise user A can access the private network frequency management unit deployed in the cloud / central computer room through a WEB page and enter a first license application, which may include at least one of the following: expected frequency (EARFCN / NRARFCN...), expected bandwidth (20MHz, 100MHz...), expected uplink and downlink ratio, expected number of supported terminals, coverage range (map check), and center location (latitude and longitude).

[0145] Specifically, when enterprise user A inputs the first license application to the private network frequency management unit through a WEB page, the user's data input operation can be directly obtained, and the first license application can be obtained through the data input operation; or, some recommended information corresponding to different scenario requirements (for example: recommended frequency, recommended bandwidth, recommended uplink and downlink ratio, etc.) can be displayed to the user through the page. For example: for some scenarios with larger areas, the recommended frequency can be lower; for scenarios with smaller or medium areas, the recommended frequency can be higher. When establishing a private network for one building, the recommended number of base stations to be established can be one; when establishing a private network for ten buildings, the recommended number of base stations can be five or six, etc.; then the user's selection operation on the recommended information input can be obtained, and part of the information in the first license application can be generated based on the selection operation.

[0146] Generally speaking, in order to achieve accurate private network deployment operations, the first license application generally includes coverage and center location. For the coverage and center location included in the first license application, the specific location description information entered by the user can be directly obtained, and the coverage and center location can be determined through the location description information; alternatively, map information can be displayed to the user, and then the selection and confirmation operations of the area or location entered by the user in the map information can be obtained, and the coverage and center location can be obtained through the selection and confirmation operations.

[0147] Step 2: After the private network frequency management unit obtains the first license application, it can generate a frequency license request based on the first license application, and send the frequency license request to the regulatory department information database to detect whether the enterprise user is qualified for private network deployment through the regulatory department information database.

[0148] Step 3: The regulatory authority's information database queries whether the enterprise user is eligible for private network deployment based on the frequency license request, generates a frequency license reply based on the query result, and sends the frequency license reply to the private network frequency management unit.

[0149] Among them, when the enterprise user is qualified for private network deployment, a first frequency license reply can be generated to indicate that the enterprise user is qualified for private network deployment; when the enterprise user is not qualified for private network deployment, a second frequency license reply can be generated to indicate that the enterprise user is not qualified for private network deployment.

[0150] Step 4: The private network frequency management unit obtains a frequency license reply. When the frequency license reply indicates that the enterprise user is qualified to deploy the private network, a map information query request can be generated based on the first license application, and the map information query request can be sent to the map information database to determine the private network usage frequency band of the adjacent enterprise corresponding to the private network to be deployed and other information;

[0151] When the frequency license reply indicates that the enterprise user does not have the qualifications for private network deployment, private network deployment operations based on the first license application are prohibited, and the reason for the prohibition can be fed back. Furthermore, the user can be reminded or guided to proceed with the operation of obtaining the qualifications for private network deployment.

[0152] Step 5: After the map information database obtains the map information query request, it can perform a query operation on the adjacent network based on the coverage range and center location included in the map information query request, so as to obtain the adjacent base stations corresponding to the private network to be deployed, and can generate a map information reply based on the above-mentioned adjacent base stations, and can send the map information reply to the private network frequency management unit.

[0153] Step 6: After the private network frequency management unit obtains the map information reply, it can generate a neighboring enterprise private network information query request based on the map information reply, and send the neighboring enterprise private network information query request to the neighboring enterprise private network information to query the used parameters corresponding to the neighboring base station through the neighboring enterprise private network information.

[0154] Step 7: After the neighboring enterprise private network information obtains the neighboring enterprise private network information query request, the used parameters corresponding to the neighboring base stations in the neighboring enterprise private network can be queried, and a neighboring enterprise private network information reply can be generated based on the used parameters, and the neighboring enterprise private network information reply can be sent to the private network frequency management unit.

[0155] Step 8: After the private network frequency management unit obtains the reply of the adjacent enterprise private network information, it can perform a comprehensive calculation based on the relevant information of the adjacent base station included in the adjacent enterprise private network information reply (including: the frequency of the adjacent base station, the environmental information between the private network to be deployed and the adjacent base station (whether there are obstructions or obstacles, etc.), the transmission power of the adjacent base station, the distance information between the adjacent base station and the private network to be deployed, etc.), so as to obtain the expected signal interference strength between the private network to be deployed and the adjacent base station, generate a first permission reply based on the signal interference strength, and display the first permission reply to the user through a WEB page.

[0156] Among them, the first permission reply includes but is not limited to the following information: use permission (whether it is available), usable frequency (EARFCN / NRARFCN...), usable bandwidth (20MHz, 100MHz...), number of accessible terminals, coverage range (map check), usable period, uplink and downlink ratio (3U1 D / 1U3D...), etc. For whether it is available in the use permission, when the enterprise user does not have the qualification for private network deployment, a reply that the license cannot be used can be returned; when the enterprise user has the qualification for private network deployment, a reply that the license can be used can be returned. For the usable frequency, when the signal interference intensity is relatively large, a first permission reply including recommendation of other frequency can be generated; when the signal interference intensity is relatively small, a first permission reply including the expected frequency can be generated. For the usable period included in the first permission reply, it can be the expected period entered by the user or the default period of the private network frequency management unit. If the usable period is the default period of the private network frequency management unit, but the default period does not meet the user's needs, the user can adjust or modify the default period.

[0157] It should be noted that the usable bandwidth included in the first license reply may be the same as or different from the expected bandwidth included in the first license application, and the coverage range and the number of accessible terminals included in the first license reply are often the same as the expected coverage range and the expected number of supported terminals included in the first license application.

[0158] Step 9: When the first permission response is displayed through the WEB page, the enterprise user can continue to send a second permission application / a third permission application based on the first permission response until the returned result meets the usage requirements.

[0159] Specifically, identify whether the first license reply meets user needs. If it cannot meet user needs, a second license application can be generated based on the first license reply, and the second license application can be sent to the private network frequency management unit to perform private network deployment operations based on the second license application.

[0160] In some instances, the number of first permission replies generated may be multiple, and different first permission replies include different private network deployment plans. The multiple first permission replies are then displayed through a WEB page, and the user's selection operation on any first permission reply is obtained, and the target permission reply is determined. A second permission application is generated based on the target permission reply. The second permission application refers to an application that meets user needs and network deployment requirements. This can reduce interactive operations with users and improve the quality and efficiency of network deployment.

[0161] Step 10: The enterprise user sends a first permission confirmation and obtains a corresponding private network deployment plan to perform corresponding network deployment operations based on the private network deployment plan.

[0162] Reference Figure 8 As shown, based on the above-mentioned application embodiment 1, the management method of the private network frequency provided in this application embodiment 2 may include the following steps:

[0163] Step 21: Send a first license application to the private network frequency management unit via a WEB page.

[0164] Step 22: The private network frequency management unit generates a frequency license request based on the first license application, and sends the frequency license request to the regulatory department information database.

[0165] Step 23: The regulatory authority's information database generates a frequency license response based on the frequency license request and returns the frequency license response to the private network frequency management unit. The frequency license response may include the fee required for the license (if any) to help the enterprise make a decision.

[0166] Step 24: The private network frequency management unit generates a map information query based on the first license application, and sends the map information query to the map information database.

[0167] Step 25: Map information query determines the adjacent base stations corresponding to the private network to be deployed based on the map information query, generates a map information reply based on the adjacent base stations, and returns the map information reply to the private network frequency management unit.

[0168] Step 26: The private network frequency management unit generates a neighboring enterprise private network information query based on the first license application and the map information reply, and sends the neighboring enterprise private network information query to the neighboring enterprise private network information.

[0169] Step 27: The neighboring enterprise private network information determines the used parameters of the neighboring base station based on the neighboring enterprise private network information query, generates a neighboring enterprise private network information reply based on the used parameters of the neighboring base station, and returns the neighboring enterprise private network information reply to the private network frequency management unit.

[0170] Step 28: Before generating the first permission reply, generate a first solution query based on the first permission application, and send the first solution query to the private network equipment provider to initiate a solution query to the private network equipment provider.

[0171] Step 29: The private network equipment supplier performs a query operation for recommended equipment based on the first solution query. Specifically, the solution query operation can be performed based on the base station frequency band, frequency point, uplink and downlink ratio and other information included in the first solution query, so as to obtain the recommended equipment returned by the private network equipment supplier, generate a first solution reply based on the recommended equipment, and then return the first solution reply to the private network frequency management unit.

[0172] Among them, the recommended devices included in the first solution reply may include base station configuration information, base station type information, terminal configuration information, terminal type information, etc. The above-mentioned base station configuration information may include: base station coverage, base station transmission power, base station frequency, etc. Since base stations with different configurations, different types of base stations and different numbers of base stations require different deployment costs, the recommended devices included can be determined by the deployment cost, that is, the recommended base station can be determined based on the deployment cost of the base station.

[0173] Step 210: Generate a first permission response based on the first solution response, and display the first permission response through a WEB page.

[0174] It should be noted that the first license application, frequency license request, map information query, neighboring enterprise information query, first license reply, second license application, first license confirmation and other steps in this embodiment 2 can be implemented in the form of application programming API interface, email, etc. In addition, this technical solution is not only applicable to 5G private networks, but also to private network deployment in 4G or 4 / 5G hybrid networks or similar forms.

[0175] The private network frequency management method provided in this application embodiment effectively solves the problem of interference between private networks that is easily generated due to the lack of interference management and interference coordination solutions in the current private network construction. It can avoid the use of private network frequencies with similar frequencies by enterprises with similar geographical locations when performing network deployment operations. Specifically, in the process of private network deployment, the private network frequency management unit can help enterprises quickly obtain configuration information such as available bandwidth, frequency, uplink and downlink ratio, etc., and rely on the geographic information database and the enterprise private network information database to manage private networks in the same geographical location to reduce interference between private networks. In addition, it is also possible to apply for a use license by accessing the radio regulatory department interface, and support access to the private network equipment supplier interface to obtain a private network deployment plan with bandwidth, frequency and other information as input, so that users can perform private network deployment operations based on the private network deployment plan. This achieves one-stop private network planning, effectively ensures the quality and efficiency of private network operation, and improves the practicality of the method, which is conducive to market promotion and application.

[0176] It should be noted that this application embodiment can not only realize the deployment operation of the private network, but also realize the health management operation of the operation status of the private network. For details, refer to the attached Fig. 9 As shown, the private network frequency management method provided in this application embodiment may also include the following steps:

[0177] Step 31: During the operation of the private network, the private network device (specifically, a base station) generates a network interference health index and sends the network interference health index to the private network frequency band management unit.

[0178] Among them, the network interference health index is often related to the interference between private network equipment and adjacent equipment. Taking the base station as a private network device as an example, the network interference health index is related to the interference between base stations (interference between the base station and the adjacent base stations) and the interference between the base station and the user terminal. Generally, the stronger the interference between base stations and the interference between the base station and the user terminal, the worse the network interference health index; the weaker the interference between base stations and the interference between the base station and the user terminal, the better the network interference health index.

[0179] In addition, the network interference health index can be obtained by sending a test signal. Specifically, the private network device can send a test signal to the outside and analyze and process the received feedback signal to obtain the network interference health interference index.

[0180] Step 32: The private network frequency management unit generates a regional network interference health degree based on the network interference health degree index and according to the geographical location, and sends the regional network interference health degree to the regulatory department information database.

[0181] The regional network interference health can be obtained by weighted summing of the network interference health indicators of all private network devices in the region.

[0182] Step 33: After the regulatory department's information database obtains the regional network interference health, it can perform network health detection operations based on the regional network interference health. When the regional network interference health is lower than the system-defined threshold, the regulatory department issues a health alarm and sends the health alarm to the private network frequency management unit.

[0183] Step 34: After the private network frequency management unit obtains the health alarm, it can start the frequency band self-optimization operation. Based on the frequency band self-optimization operation, it can determine the adjusted frequency points of at least some base stations in the preset area and send the adjusted frequency points to the private network device.

[0184] Step 35: The private network device receives the adjusted frequency and performs a frequency update operation based on the adjusted frequency.

[0185] Specifically, when the private network device is in the set network change period, the frequency and parameter change operations are performed based on the adjusted frequency point. After the private network device completes the frequency update operation, the frequency flipping completion information can be sent to the private network frequency management unit.

[0186] Step 36: The private network device sends eventual or periodic network interference health, and repeats the above process from step 31 to step 34 until the regional network interference health is higher than the threshold.

[0187] Among them, the events that trigger the private network device to perform a network interference health check operation may include: abnormal operation of the private network device, receiving user complaint information, etc.

[0188] The technical solution provided by this application embodiment effectively implements the network health detection operation, which not only enables users to understand the network operation status in a timely manner, but also allows the network to be quickly adjusted and dimensioned when the network operates abnormally, thereby ensuring the quality and efficiency of the network operation.

[0189] Fig.10 A schematic diagram of a vehicle control method provided in an embodiment of the present application; Fig.11 A schematic diagram of a vehicle control method provided in an embodiment of the present application; see attached Figure 10-11 As shown, this embodiment provides a vehicle control method, the execution subject of the method is a vehicle control device. It can be understood that the vehicle control device can be implemented as software, or a combination of software and hardware. Specifically, when the vehicle control device is implemented as hardware, it can be various electronic devices with vehicle control operations. When the vehicle control device is implemented as software, it can be installed in the electronic devices listed above. In specific implementation, the vehicle control method may include:

[0190] Step S1001: Obtain expected parameters of a base station to be deployed, where the base station to be deployed is used to build a vehicle control private network.

[0191] Step S1002: Determine a neighboring base station corresponding to the base station to be deployed based on the expected parameters;

[0192] Step S1003: Determine the signal interference strength between the adjacent base station and the base station to be deployed;

[0193] Step S1004: determining a deployment scheme corresponding to the base station to be deployed based on the signal interference strength, wherein the signal interference strength between the base station to be deployed and the adjacent base station corresponding to the deployment scheme is less than a preset threshold;

[0194] Step S1005: Perform base station deployment operations based on the deployment plan to obtain a vehicle control private network, where the vehicle control private network is used to implement vehicle control operations.

[0195] The vehicle control network is used to control the vehicles to be controlled in the preset area, wherein the vehicles to be controlled may include unmanned vehicles, manned vehicles, etc. The unmanned vehicles may include automatic guided vehicles (AGVs), etc. In the process of the vehicles to be controlled traveling in the preset area, in order to achieve accurate and effective control of the vehicles to be controlled, after the vehicle control network is built, the vehicle control device in the vehicle control network may obtain control information of the vehicles to be controlled, and the control information may include vehicle operation data, control information of the destination, control information of the driving path, etc. wherein the vehicle operation data may include the current position of the vehicle, the driving speed of the vehicle, the operating status of the vehicle, etc. After obtaining the control information, in order to ensure the stability and reliability of vehicle control, the control information may be sent to the vehicles to be controlled, so as to perform stable and effective control operations on the vehicles to be controlled based on the control information. For example, the lane in which the vehicles to be controlled are driven may be controlled based on the control information of the driving path in the control information, that is, the vehicles to be controlled may be controlled to switch from lane 1 to lane 2 based on the control information.

[0196] In some examples, in order to improve the stability and reliability of vehicle control, a sensor may be provided on the vehicle to be controlled, through which the operating status data corresponding to the vehicle to be controlled can be quickly obtained, and the operating status data corresponding to the vehicle to be controlled may include at least one of the following: the current speed, driving direction and environmental information of the vehicle, wherein the environmental information includes the distribution position of surrounding objects, the speed of the vehicle in front of the vehicle and the speed limit of the road on which the vehicle is located. In some examples, the sensor may include an image acquisition sensor, a radar sensor and a global positioning system GPS, and specifically, the operating status data corresponding to the vehicle to be controlled is determined by the image acquisition sensor, the radar sensor and the global positioning system GPS.

[0197] It should be noted that, for the vehicle control device, the vehicle control device can be set on the vehicle, or the vehicle control device can be set independently of the vehicle. In this case, the vehicle control device can be connected to the vehicle CPU for communication. In addition, for the vehicle control device, the vehicle control device can be adjusted according to different vehicles, that is, the algorithm modules included in the vehicle control device will be different according to the type of vehicle. At this time, the vehicle control device can not only realize the control operation of the vehicle's automatic driving, but also realize other operations. For example, different vehicle control devices will be involved for logistics vehicles, public service vehicles, medical service vehicles, and terminal service vehicles. The following examples illustrate the algorithm modules included in the vehicle control device for these four types of autonomous driving vehicles:

[0198] Among them, logistics vehicles refer to vehicles used in logistics scenarios, for example: logistics vehicles with automatic sorting functions, logistics vehicles with refrigeration and insulation functions, and logistics vehicles with measurement functions. These logistics vehicles will involve different algorithm modules. For example, for logistics vehicles, they can be equipped with automated sorting devices, which can automatically take out and transport, sort, and store the goods after the logistics vehicle arrives at the destination. This involves an algorithm module for cargo sorting, which mainly implements logical control such as cargo retrieval, transportation, sorting, and storage.

[0199] For another example, for cold chain logistics scenarios, logistics vehicles can also be equipped with refrigeration and heat preservation devices, which can refrigerate or keep warm the transported fruits, vegetables, aquatic products, frozen foods and other perishable foods, so that they are in a suitable temperature environment, solving the problem of long-distance transportation of perishable foods. This involves an algorithm module for refrigeration and heat preservation control, which is mainly used to dynamically and adaptively calculate the appropriate temperature for cold meals or heat preservation based on information such as the nature of the food (or item), perishability, transportation time, current season, climate, etc., and automatically adjust the refrigeration and heat preservation device according to the appropriate temperature. In this way, when the vehicle transports different foods or items, the transportation personnel do not need to manually adjust the temperature, freeing the transportation personnel from cumbersome temperature control and improving the efficiency of refrigerated and heat preservation transportation.

[0200] For another example, in most logistics scenarios, charges are based on the volume and / or weight of the package, but the number of logistics packages is very large. Simply relying on couriers to measure the volume and / or weight of the packages is very inefficient and has high labor costs. Therefore, in some logistics vehicles, measuring devices are added to automatically measure the volume and / or weight of logistics packages and calculate the cost of logistics packages. This involves an algorithm module for logistics package measurement, which is mainly used to identify the type of logistics package and determine the measurement method of the logistics package, such as volume measurement or weight measurement or a combination of volume and weight measurement at the same time. It can also complete the volume and / or weight measurement according to the determined measurement method, and complete the fee calculation based on the measurement results.

[0201] Among them, public service vehicles refer to vehicles that provide some public services, such as fire trucks, de-icing trucks, sprinkler trucks, snowplows, garbage disposal vehicles, traffic control vehicles, etc. These public service vehicles will involve different algorithm modules. For example, for an autonomous fire truck, its main task is to perform reasonable firefighting tasks at the fire scene, which involves an algorithm module for firefighting tasks. This algorithm module needs to at least realize the logic of fire condition identification, firefighting plan planning, and automatic control of fire extinguishing devices.

[0202] For another example, the main task of a de-icing vehicle is to clear ice and snow from the road surface, which involves a de-icing algorithm module. The algorithm module must at least be able to identify the ice and snow conditions on the road surface and develop a de-icing plan based on the ice and snow conditions, such as which sections of the road require de-icing and which sections do not, whether to use salt spreading and the number of grams of salt to spread, as well as automatic control of the de-icing device when the de-icing plan is determined.

[0203] Among them, medical service vehicles refer to self-driving vehicles that can provide one or more medical services. Such vehicles can provide medical services such as disinfection, temperature measurement, medication, and isolation. This involves algorithm modules that provide various self-service medical services. These algorithm modules mainly realize the identification of disinfection needs and the control of the disinfection device so that the disinfection device can disinfect the patient, or identify the patient's position and control the temperature measuring device to automatically approach the patient's forehead and other positions to measure the patient's temperature, or, are used to realize the judgment of the disease, give a prescription based on the judgment result, and need to realize the identification of drugs / drug containers, as well as the control of the medicine-taking robot to grab medicines for the patient according to the prescription, etc.

[0204] Among them, terminal service vehicles refer to self-service autonomous driving vehicles that can replace some terminal devices to provide certain convenient services to users. For example, the vehicle can provide users with printing, attendance, scanning, unlocking, payment, retail and other services.

[0205] For example, in some application scenarios, users often need to go to a specific location to print or scan documents, which is time-consuming and laborious. Therefore, there is a terminal service vehicle that can provide printing / scanning services for users. These service vehicles can be interconnected with user terminal devices. Users issue printing instructions through terminal devices, and service vehicles respond to printing instructions, automatically print the documents required by users, and automatically send the printed documents to the user's location. Users do not need to queue up at the printer, which can greatly improve printing efficiency. Alternatively, it can respond to the scanning instructions issued by the user through the terminal device, move to the user's location, and the user places the document to be scanned on the scanning tool of the service vehicle to complete the scanning, without having to queue up at the printer / scanner, saving time and effort. This involves an algorithm module that provides printing / scanning services, which at least needs to identify the interconnection with the user's terminal device, the response to the printing / scanning instruction, the positioning of the user's location, and the travel control.

[0206] For another example, with the development of new retail scenarios, more and more e-commerce companies use self-service vending machines to sell goods to major office buildings and public areas. However, these self-service vending machines are placed in fixed locations and cannot be moved. Users need to go to the self-service vending machines to buy the required goods, which is still inconvenient. Therefore, self-driving vehicles that can provide retail services have emerged. These service vehicles can carry goods and move automatically, and can provide corresponding self-service shopping apps or shopping portals. Users can place orders to self-driving vehicles that provide retail services through mobile phones and other terminals through apps or shopping portals. The order includes the name, quantity and user location of the goods to be purchased. After receiving the order request, the vehicle can determine whether the current remaining goods have the goods purchased by the user and whether the quantity is sufficient. If it is determined that the goods purchased by the user are sufficient, it can automatically move to the user's location with these goods and provide these goods to the user, further improving the convenience of user shopping, saving user time, and allowing users to spend their time on more important things. This involves algorithm modules that provide retail services. These algorithm modules mainly implement logic such as responding to user order requests, order processing, product information maintenance, user location positioning, and payment management.

[0207] It should be noted that the method in this embodiment may also include Figure 1-Figure 9 For the method in the embodiment shown in the figure, the part not described in detail in this embodiment can be referred to Figure 1-Figure 9 The implementation process and technical effects of this technical solution refer to Figure 1-Figure 9 The description in the illustrated embodiment will not be repeated here.

[0208] Fig.12 A schematic diagram of a private network deployment device provided in an embodiment of the present application; see attached Fig.12 As shown, this embodiment provides a private network deployment device, which can be used to perform the above Figure 2 The private network deployment method shown in the figure, the private network deployment device in this embodiment may include:

[0209] A first acquisition module 11 is used to acquire expected parameters of a base station to be deployed, where the base station to be deployed is used to build a preset private network;

[0210] A first determination module 12 is used to determine a neighboring base station corresponding to the base station to be deployed based on expected parameters;

[0211] The first determination module 12 is used to determine the signal interference strength between the adjacent base station and the base station to be deployed;

[0212] The first processing module 13 is used to determine a deployment scheme corresponding to the base station to be deployed based on the signal interference strength, and the signal interference strength between the base station to be deployed and the adjacent base station corresponding to the deployment scheme is less than a preset threshold.

[0213] In some instances, when the first determination module 12 determines the adjacent base station corresponding to the base station to be deployed based on expected parameters, the first determination module 12 is used to: obtain the coverage range and the center position included in the expected parameters; and determine the adjacent base station corresponding to the base station to be deployed based on the coverage range and the center position.

[0214] In some instances, when the first determination module 12 determines the signal interference strength between the adjacent base station and the base station to be deployed, the first determination module 12 is used to: obtain the used parameters of the adjacent base station; determine the distance information between the adjacent base station and the base station to be deployed and the environment between base stations; based on the used parameters, expected parameters, distance information and the environment between base stations, determine the signal interference strength between the adjacent base station and the base station to be deployed.

[0215] In some instances, when the first processing module 13 determines a deployment plan corresponding to the base station to be deployed based on the signal interference intensity, the first processing module 13 is used to perform: determining target parameters of the base station to be deployed based on the signal interference intensity, so that the signal interference intensity between the base station to be deployed and the adjacent base stations that meet the target parameters is less than a preset threshold; and generating a deployment plan corresponding to the base station to be deployed based on the target parameters.

[0216] In some instances, the target parameters include a target frequency; when the first processing module 13 determines the target parameters of the base station to be deployed based on the signal interference intensity, the first processing module 13 is used to execute: obtaining the expected frequency included in the expected parameters; determining the signal interference intensity corresponding to the expected frequency; when the signal interference intensity is less than a preset threshold, determining the expected frequency as the target frequency.

[0217] In some instances, the target parameters include a target frequency; when the first processing module 13 determines the target parameters of the base station to be deployed based on the signal interference intensity, the first processing module 13 is used to execute: obtaining the used frequency of the adjacent base station; determining the signal interference intensity corresponding to the used frequency; when the signal interference intensity is greater than or equal to a preset threshold, determining the target frequency based on the used frequency, and the target frequency is different from the used frequency.

[0218] In some instances, when the first processing module 13 generates a deployment plan for the base station to be deployed based on the target parameters, the first processing module 13 is used to execute: obtaining a private network deployment cost corresponding to the target parameters; and generating a deployment plan for the base station to be deployed based on the target parameters and the private network deployment cost.

[0219] In some instances, when the first processing module 13 generates a deployment plan for the base station to be deployed based on the target parameters, the first processing module 13 is used to execute: determining recommended device information for the base station to be deployed based on the target parameters; and generating a deployment plan for the base station to be deployed based on the target parameters and the recommended device information.

[0220] In some examples, after determining the target parameters of the base station to be deployed, the first acquisition module 11 and the first processing module 13 in this embodiment are used to perform the following steps:

[0221] The first acquisition module 11 is used to acquire the adjustment operation of the user input on the target parameter;

[0222] The first processing module 13 is used to obtain adjusted parameters corresponding to the target parameters based on the adjustment operation; determine the adjusted interference intensity between the adjacent base station and the base station to be deployed based on the adjusted parameters; when the adjusted interference intensity is less than a preset threshold, generate a deployment plan with the base station to be deployed based on the adjusted parameters; when the adjusted interference intensity is greater than or equal to the preset threshold, it is prohibited to generate a deployment plan with the base station to be deployed based on the adjusted parameters.

[0223] In some examples, after obtaining the expected parameters of the base station to be deployed, the first obtaining module 11 and the first processing module 13 in this embodiment are used to perform the following steps:

[0224] A first acquisition module 11 is used to acquire subject information corresponding to the base station to be deployed;

[0225] The first processing module 13 is used to determine whether the subject has the qualification for private network deployment based on the subject information; when the subject has the qualification for private network deployment, it is allowed to determine the adjacent base station corresponding to the base station to be deployed based on the expected parameters; when the subject does not have the qualification for private network deployment, it is prohibited to determine the adjacent base station corresponding to the base station to be deployed based on the expected parameters.

[0226] In some examples, the first acquisition module 11 and the first processing module 13 in this embodiment are used to perform the following steps:

[0227] A first acquisition module 11 is used to acquire a network health corresponding to a network in a preset area, where the network health is negatively correlated with a signal interference intensity between base stations in the preset area;

[0228] The first processing module 13 is used to generate alarm information corresponding to a preset area when the network health is less than a preset threshold.

[0229] In some instances, when the first acquisition module 11 acquires the network health corresponding to the network in the preset area, the first acquisition module 11 is used to execute: acquiring all base stations located in the preset area; determining the inter-base station interference strength between any two base stations and the opposite-end interference strength between the base station and the terminal; and determining the network health corresponding to the network in the preset area based on all the inter-base station interference strengths and the opposite-end interference strengths.

[0230] In some instances, when the first acquisition module 11 determines the network health corresponding to the network in a preset area based on all the interference strengths between base stations and the interference strengths of the opposite ends, the first acquisition module 11 is used to execute: obtaining weight information corresponding to each of the interference strengths between base stations and the interference strengths of the opposite ends; based on the weight information corresponding to each of the interference strengths between base stations and the interference strengths of the opposite ends, performing weighted summation of the interference strengths between base stations and the interference strengths of the opposite ends to obtain the network health.

[0231] In some examples, when the network health is less than a preset threshold, the first acquisition module 11 and the first processing module 13 in this embodiment are used to perform the following steps:

[0232] A first acquisition module 11 is used to obtain adjusted frequency points corresponding to at least some base stations in a preset area;

[0233] The first processing module 13 is configured to perform a frequency change operation on at least some base stations in a preset area based on the adjusted frequency point, and the network health of the network in the preset area corresponding to the adjusted frequency point is greater than or equal to a preset threshold.

[0234] In some instances, when the first processing module 13 performs a frequency change operation on at least some base stations in a preset area based on the adjusted frequency, the first processing module 13 is used to execute: obtaining a network change period corresponding to the base station; sending the adjusted frequency to the corresponding base station, so that the base station adjusts the current frequency to the adjusted frequency during the network change period.

[0235] Fig.12 The private network deployment device shown can execute Figure 1-Figure 9 For the method of the embodiment shown in the figure, the part not described in detail in this embodiment can be referred to Figure 1-Figure 9 The implementation process and technical effects of this technical solution refer to Figure 1-Figure 9 The description in the illustrated embodiment will not be repeated here.

[0236] In one possible design, Fig.12 The structure of the private network deployment device shown can be implemented as an electronic device, which can be various devices such as a base station. Fig.13As shown, the base station for implementing the private network deployment method in this embodiment can be implemented as an electronic device, which can be a controller, a personal computer, a server, or other devices. Specifically, the electronic device may include: a first processor 21 and a first memory 22. The first memory 22 is used to store the corresponding electronic device executing the above Figure 2 The program of the private network deployment method provided in the illustrated embodiment, the first processor 21 is configured to execute the program stored in the first memory 22.

[0237] The program includes one or more computer instructions, wherein the one or more computer instructions, when executed by the first processor 21, can implement the following steps: obtaining expected parameters of the base station to be deployed, the base station to be deployed is used to build a preset private network; based on the expected parameters, determining the adjacent base station corresponding to the base station to be deployed; determining the signal interference intensity between the adjacent base station and the base station to be deployed; based on the signal interference intensity, determining a deployment plan corresponding to the base station to be deployed, the signal interference intensity between the base station to be deployed and the adjacent base station corresponding to the deployment plan is less than a preset threshold.

[0238] Furthermore, the first processor 21 is also used to execute the aforementioned Figure 2 All or part of the steps in the illustrated embodiment. The structure of the electronic device may further include a first communication interface 23, which is used for the electronic device to communicate with other devices or a communication network.

[0239] In addition, an embodiment of the present invention provides a computer storage medium for storing computer software instructions used by electronic devices, which includes instructions for executing the above Figure 2 The procedures involved in the private network deployment method in the method embodiment shown.

[0240] In addition, an embodiment of the present invention provides a computer program product, including: a computer program, when the computer program is executed by a processor of an electronic device, the processor executes Figure 2 The private network deployment method in the method embodiment shown.

[0241] Fig.14 A schematic diagram of the structure of a vehicle control device provided in an embodiment of the present application; see attached Fig.14 As shown, this embodiment provides a vehicle control device, which is used to perform the above Fig.10 The vehicle control method shown, specifically, the vehicle control device may include:

[0242] The second acquisition module 31 is used to acquire expected parameters of the base station to be deployed, and the base station to be deployed is used to build a vehicle control private network.

[0243] The second determination module 32 is configured to determine, based on the expected parameters, a neighboring base station corresponding to the base station to be deployed.

[0244] The second determination module 32 is used to determine the signal interference strength between the adjacent base station and the base station to be deployed.

[0245] The second processing module 33 is used to determine a deployment scheme corresponding to the base station to be deployed based on the signal interference strength, and the signal interference strength between the base station to be deployed and the adjacent base station corresponding to the deployment scheme is less than a preset threshold.

[0246] The second processing module 33 is used to perform base station deployment operations based on the deployment plan to obtain a vehicle control dedicated network, where the vehicle control dedicated network is used to implement vehicle control operations.

[0247] Fig.14 The vehicle control device shown can perform Fig.10 For the method of the embodiment shown in the figure, the part not described in detail in this embodiment can be referred to Fig.10 The implementation process and technical effects of this technical solution refer to Fig.10 The description in the illustrated embodiment will not be repeated here.

[0248] In one possible design, Fig.14 The structure of the vehicle control device shown can be implemented as an electronic device, which can be various devices such as a base station. Fig.15 As shown, the vehicle control device for implementing the vehicle control method in this embodiment can be implemented as an electronic device, and the electronic device can be implemented as various devices such as a controller, a personal computer, and a server. Specifically, the electronic device may include: a second processor 41 and a second memory 42. The second memory 42 is used to store the corresponding electronic device executing the above Fig.10 The program of the vehicle control method provided in the illustrated embodiment, the second processor 41 is configured to execute the program stored in the second memory 42 .

[0249] The program includes one or more computer instructions, wherein one or more computer instructions can implement the following steps when executed by the second processor 41: obtaining expected parameters of the base station to be deployed, the base station to be deployed is used to build a vehicle control private network; based on the expected parameters, determining the adjacent base station corresponding to the base station to be deployed; determining the signal interference intensity between the adjacent base station and the base station to be deployed; based on the signal interference intensity, determining the deployment plan corresponding to the base station to be deployed, the signal interference intensity between the base station to be deployed and the adjacent base station corresponding to the deployment plan is less than a preset threshold; performing base station deployment operations based on the deployment plan to obtain a vehicle control private network, and the vehicle control private network is used to implement vehicle control operations.

[0250] Furthermore, the second processor 41 is also used to execute the aforementioned Fig.10All or part of the steps in the illustrated embodiment. The structure of the electronic device may further include a second communication interface 43, which is used for the electronic device to communicate with other devices or a communication network.

[0251] In addition, an embodiment of the present invention provides a computer storage medium for storing computer software instructions used by electronic devices, which includes instructions for executing the above Fig.10 The procedures involved in the vehicle control method in the illustrated method embodiment.

[0252] In addition, an embodiment of the present invention provides a computer program product, including: a computer program, when the computer program is executed by a processor of an electronic device, the processor executes Fig.10 The vehicle control method in the method embodiment is shown.

[0253] 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. A person of ordinary skill in the art can understand and implement it without paying creative labor. Through the description of the above implementation methods, a person of ordinary skill in the art can clearly understand that each implementation method can be implemented by adding a necessary general hardware platform, and of course, it can also be implemented by a combination of hardware and software. Based on such an understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a computer product, and the present application can be implemented in the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0254] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable device to generate a machine, so that the instructions executed by the processor of the computer or other programmable device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0255] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable device to work in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 These computer program instructions can also be loaded onto a computer or other programmable device so that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide the functions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps of the functions specified in the blocks or multiple blocks. In a typical configuration, the computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory. The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0256] Computer readable media include permanent and non-permanent, removable and non-removable media that can be used to store data by any method or technology. Data can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store data that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transit media), such as modulated data signals and carrier waves.

[0257] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application 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 replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A private network deployment method, characterized in that: include: Obtaining expected parameters of a base station to be deployed, where the base station to be deployed is used to build a preset private network; wherein the expected parameters include at least one of the following: expected bandwidth, number of supported terminals, expected coverage, and expected center location; Based on the expected parameters, determining a neighboring base station corresponding to the base station to be deployed; Determine the signal interference strength between the adjacent base station and the base station to be deployed; Based on the signal interference strength, a deployment scheme corresponding to the base station to be deployed is determined, and the signal interference strength between the base station to be deployed and the adjacent base station corresponding to the deployment scheme is less than a preset threshold; wherein the deployment scheme includes at least one of the following: target bandwidth, number of supported terminals, target coverage range, target center location, number of base stations to be deployed, and private network deployment cost.

2. The method according to claim 1, characterized in that Determining the signal interference strength between the adjacent base station and the base station to be deployed includes: Acquire used parameters of the neighboring base station; Determine the distance information between the adjacent base station and the base station to be deployed and the inter-base station environment; Based on the used parameters, the expected parameters, distance information, and the inter-base station environment, the signal interference intensity between the adjacent base station and the base station to be deployed is determined.

3. The method according to claim 1, characterized in that Determining a deployment scheme corresponding to the base station to be deployed based on the signal interference strength includes: Based on the signal interference strength, determining a target parameter of the base station to be deployed, wherein the signal interference strength between the base station to be deployed and the adjacent base station that meets the target parameter is less than a preset threshold; Based on the target parameters, a deployment plan corresponding to the base station to be deployed is generated.

4. The method according to claim 3, characterized in that The target parameters include a target frequency point; Determining target parameters of the base station to be deployed based on the signal interference strength includes: Obtaining the used frequency points of the adjacent base station; Determining the signal interference strength corresponding to the used frequency point; When the signal interference strength is greater than or equal to a preset threshold, the target frequency is determined based on the used frequency, and the target frequency is different from the used frequency.

5. The method according to claim 3, characterized in that: Generating a deployment scheme for the base station to be deployed based on the target parameter includes: Obtaining a private network deployment cost corresponding to the target parameter; Based on the target parameters and the private network deployment cost, a deployment plan for the base station to be deployed is generated.

6. The method according to claim 3, characterized in that Generating a deployment scheme for the base station to be deployed based on the target parameter includes: Based on the target parameters, determining recommended device information for the base station to be deployed; Based on the target parameters and the recommended device information, a deployment plan for the base station to be deployed is generated.

7. The method according to claim 3, characterized in that After determining the target parameters of the base station to be deployed, the method further includes: Acquiring an adjustment operation input by a user on the target parameter; Based on the adjustment operation, obtaining an adjusted parameter corresponding to the target parameter; Determining, based on the adjusted parameters, an adjusted interference intensity between the neighboring base station and the base station to be deployed; When the adjusted interference intensity is less than a preset threshold, generating a deployment scheme for the base station to be deployed based on the adjusted parameters; When the adjusted interference intensity is greater than or equal to a preset threshold, it is prohibited to generate a deployment plan for the base station to be deployed based on the adjusted parameters.

8. The method according to any one of claims 1 to 7, characterized in that: After obtaining the expected parameters of the base station to be deployed, the method further includes: Acquire subject information corresponding to the base station to be deployed; Determine whether the subject is qualified for private network deployment based on the subject information; When the subject has the qualification for private network deployment, it is allowed to determine the adjacent base station corresponding to the base station to be deployed based on the expected parameters; When the subject does not have the qualification for private network deployment, it is prohibited to determine the adjacent base station corresponding to the base station to be deployed based on the expected parameters.

9. The method according to any one of claims 1 to 7, characterized in that: The method further comprises: Acquire a network health corresponding to a network in a preset area, wherein the network health is negatively correlated with a signal interference intensity between base stations in the preset area; When the network health is less than a preset threshold, an alarm message corresponding to the preset area is generated.

10. The method according to claim 9, characterized in that Get the network health corresponding to the network in the preset area, including: Acquire all base stations located in the preset area; Determine the inter-base station interference intensity between any two base stations and the opposite-end interference intensity between the base station and the terminal; Based on all the inter-base station interference strengths and peer-end interference strengths, a network health corresponding to the network in the preset area is determined.

11. The method according to claim 9, characterized in that When the network health is less than a preset threshold, the method further includes: Obtaining adjusted frequency points corresponding to at least some of the base stations in the preset area; A frequency change operation is performed on at least part of base stations in the preset area based on the adjusted frequency, and a network health of a network in the preset area corresponding to the adjusted frequency is greater than or equal to a preset threshold.

12. A vehicle control method, characterized in that: include: Obtaining expected parameters of a base station to be deployed, where the base station to be deployed is used to build a vehicle control private network; wherein the expected parameters include at least one of the following: expected bandwidth, number of supported terminals, expected coverage, and expected center location; Based on the expected parameters, determining a neighboring base station corresponding to the base station to be deployed; Determine the signal interference strength between the adjacent base station and the base station to be deployed; Based on the signal interference strength, determine a deployment scheme corresponding to the base station to be deployed, wherein the signal interference strength between the base station to be deployed and the adjacent base station corresponding to the deployment scheme is less than a preset threshold; wherein the deployment scheme includes at least one of the following: target bandwidth, number of supported terminals, target coverage, target center location, number of base stations to be deployed, and private network deployment cost; Base station deployment operations are performed based on the deployment plan to obtain a vehicle control private network, and the vehicle control private network is used to implement vehicle control operations.

13. An electronic device, characterized in that: include: A memory, a processor; wherein the memory is used to store one or more computer instructions, wherein the one or more computer instructions, when executed by the processor, implement the method as described in any one of claims 1-12.

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