Navigation method and device, storage medium and electronic equipment

Abstract

The invention provides a navigation method and device, a storage medium and electronic equipment, and relates to the technical field of wireless communication. The method is applied to a general computing resource scheduling function, belongs to a wireless intelligent management and arrangement function layer, and comprises the following steps: receiving a target resource model; the target resource model is determined by the model management function according to a received model demand and is sent to the general computing resource scheduling function; the model demand is determined by the business management arrangement function according to a blind guiding request sent by the blind guiding equipment and is sent to the model management function; deploying the target resource model to a first intelligent wireless access network base station; enabling a target resource model in the first intelligent wireless access network base station, so that the first intelligent wireless access network base station determines a navigation route and sends the navigation route to the blind guiding equipment, and a general calculation resource scheduling function is realized; the blind guiding equipment is used for navigating according to the navigation route; and the general computing resource scheduling function is used for pre-deploying a target resource model for the second intelligent wireless access network base station along the navigation route according to the navigation route.

Description

Background Art

[0002] With the increasing travel needs of the visually impaired population, guide robots, as important guiding devices to assist the blind in traveling, have been widely used. Existing guide robot technical solutions are mainly based on embedded computing platforms. By combining sensors and AI algorithms, they provide path planning, obstacle recognition, and voice interaction functions for the visually impaired population. These guide robots have improved the convenience and safety of the visually impaired population to a certain extent, but their technical architectures also have obvious limitations.

[0003] On the one hand, traditional guide robots highly rely on the computing power of embedded devices and are difficult to run complex deep learning models, resulting in limited real-time performance and accuracy of the algorithms; on the other hand, their independent operation mode lacks the ability to cooperate with external resources and cannot make full use of advanced wireless networks and distributed computing power.

[0004] It should be noted that the information disclosed in the above background art section is only used to enhance the understanding of the background of the present disclosure, and thus may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0005] The present disclosure provides a navigation method, device, storage medium, and electronic device, which at least to a certain extent overcome the problems of insufficient computing resources and lack of network cooperation in related technologies.

[0006] Other features and advantages of the present disclosure will become apparent through the following detailed description, or be learned in part through the practice of the present disclosure.

[0007] According to one aspect of the present disclosure, there is provided a navigation method, which is applied to a general computing resource scheduling function, and the general computing resource scheduling function belongs to the wireless intelligent management and orchestration function layer. The method includes:

[0008] Receiving a target resource model; the target resource model is determined by a model management function according to the received model requirements and sent to the general computing resource scheduling function; the model requirements are determined by a service management and orchestration function according to the guiding request sent by a guiding device and sent to the model management function;

[0009] Deploying the target resource model to a first intelligent radio access network base station;

[0010] Enable the target resource model in the first intelligent radio access network base station, so that the first intelligent radio access network base station determines a navigation route and sends it to the blind guidance device and the computing and resource scheduling function; the blind guidance device is used to navigate according to the navigation route; the computing and resource scheduling function is used to pre-deploy the target resource model for the second intelligent radio access network base stations along the navigation route according to the navigation route.

[0011] In some embodiments, the blind guidance device is further configured to: if there is an obstacle during the process of the blind guidance device navigating according to the navigation route, report the existence of the obstacle to the first intelligent radio access network base station, so that the first intelligent radio access network base station senses the status information of the obstacle to determine an adjustment instruction, and sends the adjustment instruction to the blind guidance device or the computing and resource scheduling function.

[0012] In some embodiments, it further includes: if the adjustment instruction is sent to the blind guidance device, the blind guidance device is further configured to remind the user of the existence of the obstacle according to the adjustment instruction.

[0013] In some embodiments, it further includes: if the adjustment instruction is sent to the computing and resource scheduling function, the computing and resource scheduling function enables the target resource model in the first intelligent radio access network base station to modify the navigation route and sends the modified navigation route to the blind guidance device according to the adjustment instruction.

[0014] In some embodiments, it further includes: if the first intelligent radio access network base station senses that the passing environment of the navigation route changes during the process of the blind guidance device navigating according to the navigation route, the first intelligent radio access network base station is further configured to modify the navigation route and send the modified navigation route to the blind guidance device, or send a walking speed adjustment instruction to the blind guidance device; the blind guidance device is further configured to adjust its own walking speed and remind the user according to the walking speed adjustment instruction.

[0015] In some embodiments, the target resource model is determined by the model management function according to the received model requirements and sent to the computing and resource scheduling function, including:

[0016] The model management function receives the model requirements sent by the service management and orchestration function, and queries the storage location of the target resource model corresponding to the model requirements according to the model requirements; the storage location includes: intelligent radio access network base stations and model storage base stations;

[0017] The model management function obtains the target resource model from the storage location and sends it to the computing and resource scheduling function.

[0018] In some embodiments, the model requirements are determined by the service management and orchestration function according to the guiding requests sent by the guiding device, including:

[0019] The guiding device sends guiding requests to the service management and orchestration function; the guiding requests are obtained by voice recognition of user input by the guiding device;

[0020] The service management and orchestration function determines the model requirements needed for the guiding requests according to the guiding requests.

[0021] In some embodiments, deploying the target resource model to the first intelligent radio access network base station includes:

[0022] According to the latency requirements needed for the guiding requests, deploy the target resource model to the first intelligent radio access network base station and complete the inference.

[0023] According to another aspect of the present disclosure, there is also provided a navigation method, which is applied to the first intelligent radio access network base station. The method includes:

[0024] Deploy the target resource model; the target resource model is deployed to the first intelligent radio access network base station by the general computing resource scheduling function; the general computing resource scheduling function belongs to the wireless intelligent management and orchestration function layer; the target resource model is determined by the model management function according to the received model requirements and sent to the general computing resource scheduling function; the model requirements are determined by the service management and orchestration function according to the guiding requests sent by the guiding device and sent to the model management function;

[0025] According to the enabling of the target resource model by the general computing resource scheduling function, determine the navigation route and send it to the guiding device and the general computing resource scheduling function; the guiding device is used to navigate according to the navigation route; the general computing resource scheduling function is used to pre-deploy the target resource model for the second intelligent radio access network base stations along the navigation route according to the navigation route.

[0026] According to another aspect of the present disclosure, there is also provided a navigation device, which is applied to the general computing resource scheduling function. The general computing resource scheduling function belongs to the wireless intelligent management and orchestration function layer. The device includes:

[0027] A target resource model receiving module, configured to receive the target resource model; the target resource model is determined by the model management function according to the received model requirements and sent to the general computing resource scheduling function; the model requirements are determined by the service management and orchestration function according to the guiding requests sent by the guiding device and sent to the model management function;

[0028] A target resource model deployment module, configured to deploy the target resource model to a first intelligent radio access network base station;

[0029] A target resource model enabling module, configured to enable the target resource model in the first intelligent radio access network base station, so that the first intelligent radio access network base station determines a navigation route and sends it to the blind navigation device and the communication and computing resource scheduling function; the blind navigation device is configured to perform navigation according to the navigation route; the communication and computing resource scheduling function is configured to pre-deploy the target resource model to second intelligent radio access network base stations along the navigation route according to the navigation route.

[0030] According to another aspect of the present disclosure, there is also provided a navigation device, which is applied to a first intelligent radio access network base station, and the device includes:

[0031] A target resource model deployment module, configured to deploy a target resource model; the target resource model is deployed to the first intelligent radio access network base station by a communication and computing resource scheduling function; the communication and computing resource scheduling function belongs to the wireless intelligent management and orchestration function layer; the target resource model is determined and sent to the communication and computing resource scheduling function by a model management function according to received model requirements; the model requirements are determined and sent to the model management function by a service management and orchestration function according to a blind navigation request sent by a blind navigation device.

[0032] A target resource model enabling module, configured to determine a navigation route according to the enabling of the target resource model by the communication and computing resource scheduling function and send it to the blind navigation device and the communication and computing resource scheduling function; the blind navigation device is configured to perform navigation according to the navigation route; the communication and computing resource scheduling function is configured to pre-deploy the target resource model to second intelligent radio access network base stations along the navigation route according to the navigation route.

[0033] According to another aspect of the present disclosure, there is also provided an electronic device, which includes: a processor; and a memory, configured to store executable instructions of the processor; wherein, the processor is configured to execute the navigation method according to any one of the above by executing the executable instructions.

[0034] According to another aspect of the present disclosure, there is also provided a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the navigation method according to any one of the above is implemented.

[0035] According to another aspect of the present disclosure, there is also provided a computer program product, including a computer program, and when the computer program is executed by a processor, the navigation method according to any one of the above is implemented.

[0036] The navigation method, device, storage medium, and electronic device provided in the embodiments of the present disclosure. This method is applied to the general computing resource scheduling function, which belongs to the wireless intelligent management and orchestration function layer. The method includes: receiving a target resource model; the target resource model is determined by the model management function according to the received model requirements and sent to the general computing resource scheduling function; the model requirements are determined by the service management and orchestration function according to the blind guidance request sent by the blind guidance device and sent to the model management function; deploying the target resource model to the first intelligent radio access network base station; enabling the target resource model in the first intelligent radio access network base station so that the first intelligent radio access network base station determines the navigation route and sends it to the blind guidance device and the general computing resource scheduling function; the blind guidance device is used to perform navigation according to the navigation route; the general computing resource scheduling function is used to pre-deploy the target resource model to the second intelligent radio access network base stations along the navigation route according to the navigation route. In the embodiments of the present disclosure, when the blind guidance device performs blind guidance, the blind guidance device sends a blind guidance request to the service management and orchestration function, the service management and orchestration function determines the model requirements according to the blind guidance request and sends them to the model management function, the model management function determines the target resource model according to the model requirements and sends it to the general computing resource scheduling function, the general computing resource scheduling function receives the target resource model, deploys the target resource model to the first intelligent radio access network base station, the general computing resource scheduling function enables the target resource model in the first intelligent radio access network base station, and the target resource model determines the navigation route according to this enabling and sends it to the blind guidance device and the general computing resource scheduling function; the blind guidance device receives the navigation route and performs navigation according to the navigation route; the general computing resource scheduling function receives the navigation route and pre-deploys the target resource model to the second intelligent radio access network base stations along the navigation route. Based on the characteristic that the first intelligent radio access network base station has high-performance computing power, this embodiment deploys the target resource model to the first intelligent radio access network base station, so that there is no need to deploy the model on the blind guidance device itself, and the intelligent upgrade of the blind guidance device is realized through the high-performance computing power of the first intelligent radio access network base station, and complex models are run in the first intelligent radio access network base station and dynamically adapt to complex environments. By deploying the target resource model in the first intelligent radio access network base station, the intelligent radio access network computing power in the network is fully scheduled to realize navigation tasks based on functions such as path planning, visual recognition, and language interaction; the general computing resource scheduling function pre-deploys the target resource model to the second intelligent radio access network base stations along the navigation route, designs an intelligent scheduling mechanism for the navigation process among multiple intelligent radio access network base stations, ensures seamless handover and path optimization across base stations, improves the navigation efficiency in complex scenarios, and realizes network collaboration in the blind guidance process. The line of sight realizes the efficient utilization of distributed computing power, reduces the dependence of the blind guidance device on high-performance embedded hardware, and reduces equipment costs. Greatly improves the navigation efficiency in complex scenarios and ensures the continuity and reliability of the walking of visually impaired people.The model deployment that breaks through the traditional solution has overcome the computing bottleneck and the limitation of the independent operation mode caused by local deployment on the blind guidance device, thus significantly improving the safety and convenience of the travel of visually impaired people.

[0037] It should be understood that the above general description and the following detailed description are merely exemplary and explanatory, and should not limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings herein are incorporated into the specification and form a part of the specification, showing embodiments consistent with the present disclosure and used together with the specification to explain the principles of the present disclosure. Obviously, the accompanying drawings in the following description are only some embodiments of the present disclosure, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts.

[0039] Figure 1 A schematic diagram showing the system structure of a navigation method in an embodiment of the present disclosure.

[0040] Figure 2 A schematic diagram showing a navigation method in an embodiment of the present disclosure.

[0041] Figure 3 A schematic diagram showing the architecture of the wireless intelligent management and orchestration function layer of a navigation method in an embodiment of the present disclosure.

[0042] Figure 4 A schematic diagram showing the interaction process of a navigation method in an embodiment of the present disclosure.

[0043] Figure 5 Another schematic diagram showing a navigation method in an embodiment of the present disclosure.

[0044] Figure 6 A schematic diagram showing a navigation device in an embodiment of the present disclosure.

[0045] Figure 7 Another schematic diagram showing a navigation device in an embodiment of the present disclosure.

[0046] Figure 8 A block diagram showing the structure of a computer device for a navigation method in an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0047] Example embodiments will now be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be more complete and comprehensive, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments.

[0048] In addition, the accompanying drawings are only schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus repeated descriptions thereof will be omitted. Some of the block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0049] For ease of understanding, before introducing the embodiments of the present disclosure, several terms involved in the embodiments of the present disclosure are first explained as follows:

[0050] The Radio Access Network (RAN) is an important part of modern communication systems and is responsible for providing connections between mobile terminals (such as mobile phones, tablets, Internet of Things devices, etc.) and the core network.

[0051] The Artificial Intelligence Radio Access Network (AI RAN), or intelligent RAN for short, refers to integrating artificial intelligence (AI) technology into the traditional Radio Access Network (RAN) to achieve more efficient, flexible, and intelligent network management and operation. This combination aims to utilize the powerful capabilities of AI to address the challenges faced by traditional RAN and drive the development of mobile communication networks to a higher level.

[0052] The RAN AI Layer is a conceptual layer in the architecture of modern Radio Access Networks (RANs), specifically designed to integrate artificial intelligence (AI) technology to achieve intelligent network management and resource orchestration. It optimizes network performance, improves efficiency, reduces operating costs, and provides a higher-quality service experience by leveraging AI and machine learning algorithms.

[0053] The following will describe in detail the specific implementation manners of the embodiments of the present disclosure with reference to the accompanying drawings.

[0054] As Figure 1 shown, the system architecture includes a terminal device 101, a network 102, and a network-side device 103.

[0055] The network 102 is used to provide a medium for the communication link between the terminal device 101 and the network-side device 103, which can be a wired network or a wireless network.

[0056] Optionally, the above-mentioned wireless network or wired network uses standard communication technologies and / or protocols. The network is usually the Internet, but can also be any network, including but not limited to any combination of a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), a mobile, wired or wireless network, a private network or a virtual private network. In some embodiments, technologies and / or formats including Hyper Text Mark-up Language (HTML), Extensible Markup Language (XML), etc. are used to represent the data exchanged through the network. In addition, conventional encryption technologies such as Secure Socket Layer (SSL), Transport Layer Security (TLS), Virtual Private Network (VPN), Internet Protocol Security (IPSec), etc. can be used to encrypt all or some of the links. In other embodiments, customized and / or proprietary data communication technologies can also be used to replace or supplement the above data communication technologies.

[0057] Optionally, the terminal device in the embodiments of the present disclosure can also be referred to as a UE (User Equipment). In specific implementations, the terminal device can be a mobile phone, a tablet personal computer, a laptop computer, a personal digital assistant (PDA), a mobile Internet device (MID), a wearable device, or a vehicle-mounted device, etc. It should be noted that the specific type of the terminal device is not limited in the embodiments of the present invention.

[0058] The network-side device can be a base station, a relay, or an access point, etc. The base station can be a base station of 5G and later versions (for example: 5G NR NB), or a base station in other communication systems (for example: eNB base station). It should be noted that the specific type of the network-side device is not limited in the embodiments of the present disclosure.

[0059] Those skilled in the art can know that Figure 1The numbers of terminals, networks, and network-side devices in [it] are merely illustrative. According to actual needs, there can be any number of terminals, networks, and network-side devices. The embodiments of the present disclosure do not limit this.

[0060] Under the above system architecture, an embodiment of the present disclosure provides a navigation method, which can be executed by any electronic device with computing and processing capabilities.

[0061] In some embodiments, the navigation method provided in the embodiments of the present disclosure can be executed by the terminal device of the above system architecture; in some other embodiments, the navigation method provided in the embodiments of the present disclosure can be executed by the server in the above system architecture; in some other embodiments, the navigation method provided in the embodiments of the present disclosure can be implemented by the terminal device and the server in the above system architecture through interaction.

[0062] Figure 2 Shows a schematic diagram of a navigation method in an embodiment of the present disclosure, as Figure 2 shown, the navigation method provided in the embodiments of the present disclosure is applied to the general computing resource scheduling function. The general computing resource scheduling function belongs to the wireless intelligent management and orchestration function layer and includes the following steps:

[0063] Step S202: Receive a target resource model; the target resource model is determined by the model management function according to the received model requirements and sent to the general computing resource scheduling function; the model requirements are determined by the service management and orchestration function according to the navigation request sent by the blind navigation device and sent to the model management function;

[0064] Step S204: Deploy the target resource model to the first intelligent radio access network base station;

[0065] Step S206: Enable the target resource model in the first intelligent radio access network base station so that the first intelligent radio access network base station determines a navigation route and sends it to the blind navigation device and the general computing resource scheduling function; the blind navigation device is used to perform navigation according to the navigation route; the general computing resource scheduling function is used to pre-deploy the target resource model for the second intelligent radio access network base stations along the navigation route according to the navigation route.

[0066] Based on the characteristic of the high-performance computing power of the first intelligent radio access network base station in this embodiment, the target resource model is deployed to the first intelligent radio access network base station, so that there is no need to deploy the model on the blind guide device itself. The intelligent upgrade of the blind guide device is realized through the high-performance computing power of the first intelligent radio access network base station, and complex models are run on the first intelligent radio access network base station and dynamically adapt to complex environments. By deploying the target resource model on the first intelligent radio access network base station, the intelligent radio access network computing power in the network is fully scheduled to implement navigation tasks based on functions such as path planning, visual recognition, and language interaction; the general computing resource scheduling function pre-deploys the target resource model on the second intelligent radio access network base stations along the navigation route, and designs an intelligent scheduling mechanism for the navigation process among multiple intelligent radio access network base stations to ensure seamless handover and path optimization across base stations, improve the navigation efficiency in complex scenarios, and realize network collaboration in the blind guide process. The line of sight realizes the efficient utilization of distributed computing power, reduces the dependence of the blind guide device on high-performance embedded hardware, and reduces equipment costs. Greatly improve the navigation efficiency in complex scenarios, and ensure the continuity and reliability of the movement of visually impaired people. It breaks through the computing bottleneck and independent operation mode limitations caused by the local deployment of the model in the traditional solution, thus significantly improving the safety and convenience of the travel of visually impaired people.

[0067] Figure 3 The figure shows a schematic diagram of the architecture of the radio intelligent management and orchestration function layer of a navigation method in an embodiment of the present disclosure. As Figure 3 shown, the radio intelligent management and orchestration function layer (RAN AI Layer) at least includes: a model management function, a data management service function, a service management orchestration function, and a general computing resource scheduling function.

[0068] Among them, the model management function is responsible for the life cycle management of the AI model, including model selection, training, verification, deployment, and update. Specifically, the model management function determines the target resource model according to the received model requirements.

[0069] The data management service function is used to process the data collected from the RAN or intelligent radio access network base stations, including data collection, storage, processing, and analysis.

[0070] The service management orchestration function is used to dynamically adjust network resources and service policies according to different service requirements. Specifically, the service management orchestration function determines the model requirements according to the received blind guide request.

[0071] The general computing resource scheduling function reasonably allocates computing and transmission resources in the network to optimize performance and efficiency. Specifically, the general computing resource scheduling function is used to receive a target resource model and deploy it to the first intelligent radio access network base station, enable the target resource model in the first intelligent radio access network base station so that the first intelligent radio access network base station determines a navigation route and sends it to the blind guidance device and the general computing resource scheduling function.

[0072] Figure 4 The figure shows an interaction process diagram of a navigation method in an embodiment of the present disclosure. As Figure 4 shown, a blind guidance device refers to a device used to assist visually impaired people in walking. Common blind guidance devices can be mechanical guide dogs, etc., equipped with a communication module to establish a real-time connection with the AI RAN base station, and are used to receive navigation instructions and perform tasks such as path planning and obstacle recognition. During the process of assisting the blind in traveling, the mechanical guide dog needs to rely on the powerful computing power and real-time perception ability of the AI RAN base station to ensure the intelligence and safety of the journey.

[0073] After the blind guidance device is started, it will monitor its own operating status through built-in sensors, including real-time position, movement speed, and environmental information, etc. These data are uploaded to the data management service unit of the AI RAN base station through a wireless communication module for unified storage and management.

[0074] The first intelligent radio access network base station and the second intelligent radio access network base station have environmental perception capabilities. They can sense whether the environment has changed. The intelligent radio access network base station can real-time monitor the dynamic information around the blind guidance device, such as the distance to obstacles, the running speed of vehicles, and the moving direction of pedestrians, etc., and transmit this data to the data management service unit for fusion processing.

[0075] The data management service unit provides high-precision input data for subsequent AI model inference by integrating data from the blind guidance device and the intelligent radio access network base station.

[0076] In the embodiment of the present disclosure, when the blind guidance device is guiding the blind, when the visually impaired person wants to go somewhere, they speak a voice to the blind guidance device, such as "I want to go to a certain place". The blind guidance device receives and obtains this user input voice, and generates a blind guidance request according to this user input voice instruction. The blind guidance device sends the blind guidance request to the service management and orchestration function.

[0077] In the embodiment, the service management and orchestration function receives the blind guidance request, determines the model requirements according to the blind guidance request and sends them to the model management function. Among them, the model requirements are determined by the service management and orchestration function according to the blind guidance request sent by the blind guidance device, including:

[0078] The blind guidance device sends a blind guidance request to the service management and orchestration function; the blind guidance request is obtained by the blind guidance device through voice recognition of the user input.

[0079] Based on the blind guidance request, the service management and orchestration function determines the model requirements needed for the blind guidance request.

[0080] The service management and orchestration function receives the blind guidance request sent by the blind guidance device, analyzes and breaks down the blind guidance request into specific service requirements, and obtains the required AI resources as the model requirements needed for the blind guidance request based on the models required for the normal operation of the blind guidance device and historical references, etc. Among them, the model requirements may include: path planning model requirements, language model requirements, visual recognition model requirements, and base station handover model requirements. The service management and orchestration function sends the model requirements to the model management function.

[0081] In the embodiment, the target resource model is determined by the model management function according to the received model requirements and sent to the general computing resource scheduling function, including:

[0082] The model management function receives the model requirements sent by the service management and orchestration function, and queries the storage location of the target resource model corresponding to the model requirements according to the model requirements; the storage location includes: intelligent radio access network base stations and model storage base stations;

[0083] The model management function obtains the target resource model from the storage location and sends it to the general computing resource scheduling function.

[0084] The model management function receives the model requirements sent by the service management and orchestration function. The model management function queries the storage location of the target resource model corresponding to the model requirements according to the model requirements. Among them, the storage location can be the current intelligent radio access network base station, or other adjacent intelligent radio access network base stations, or a model storage base station dedicated to model storage.

[0085] The model management function obtains the target resource model from the storage location. Among them, the target resource model may include: path planning model, language model, visual recognition model, and base station handover model. The model management function sends the target resource model to the general computing resource scheduling function through the service management and orchestration function.

[0086] The general computing resource scheduling function receives the target resource model and deploys the target resource model to the first intelligent radio access network base station. In the embodiment, deploying the target resource model to the first intelligent radio access network base station includes:

[0087] According to the latency requirements required by the blind guidance request, deploy the target resource model to the first intelligent radio access network base station and complete the inference.

[0088] When conducting blind guidance, the latency requirements vary for different situations. For example, voice interaction and video services require second-level responses, while path planning and decision-making tasks require millisecond-level responses. The general computing resource scheduling function selects an appropriate base station as the first intelligent radio access network base station based on the latency requirements of the blind guidance request and the computing resource situation of the intelligent radio access network base station, and deploys the target resource model and executes inference. In the embodiment, the first intelligent radio access network base station can be a single intelligent radio access network base station node or a distributed architecture composed of multiple intelligent radio access network base station nodes. The selection of nodes mainly refers to the communication resources and computing resources of the current nodes.

[0089] The general computing resource scheduling function enables the target resource model in the first intelligent radio access network base station and controls the target resource model to start path planning; wherein, enabling the target resource model to plan the path from the starting point to the destination and plan the handover between intelligent radio access network base stations along the way to ensure that the service is not interrupted when experiencing base station handover during the journey, guarantee the safety of the visually impaired population during the journey, pre-configure the base stations along the way, and finally generate a navigation route.

[0090] The first intelligent radio access network base station sends the navigation route to the blind guidance device and the general computing resource scheduling function; the blind guidance device receives the navigation route and broadcasts the specific navigation route information to the user in the form of voice to enable the user to navigate according to the navigation route; the general computing resource scheduling function receives the navigation route and pre-deploys the target resource model for the second intelligent radio access network base stations along the navigation route. Ensure that when the blind person switches from the first intelligent radio access network base station to the second intelligent radio access network base station during the journey, the navigation service process is not interrupted.

[0091] In the embodiment, the blind guidance device is further used for: if there are obstacles during the navigation process of the blind guidance device according to the navigation route, reporting the existence of obstacles to the first intelligent radio access network base station, so that the first intelligent radio access network base station senses the status information of the obstacles to determine an adjustment instruction and sends the adjustment instruction to the blind guidance device or the general computing resource scheduling function.

[0092] During the process of the blind guiding device navigating according to the navigation route, if the visual model recognizes an obstacle ahead, it reports the existence of the obstacle to the first intelligent radio access network base station. The first intelligent radio access network base station itself has the ability to sense the environment. For example, the first intelligent radio access network base station is equipped with a camera and a radar, which can monitor the environmental information in real time. Through the sensing ability of the first intelligent radio access network base station, the obstacle is further sensed to determine whether it is an obstacle, and the position, distance and dynamic changes of the obstacle are further confirmed. According to the position, distance and dynamic changes of the obstacle, an adjustment instruction is determined. The adjustment instruction is divided into two types. One type is that the obstacle will not block the current navigation route, then the adjustment instruction can be sent to the blind guiding device to notify the user of the existence of the obstacle.

[0093] In the embodiment, it further includes: if the adjustment instruction is sent to the blind guiding device, the blind guiding device is further configured to remind the user of the existence of the obstacle according to the adjustment instruction.

[0094] The blind guiding device receives the adjustment instruction, analyzes the position, distance and dynamic changes of the obstacle, and broadcasts the position, distance and dynamic changes of the obstacle to the user in real time, reminding the user to pay attention to the obstacle and slow down.

[0095] The other type of adjustment instruction is that the obstacle blocks the current navigation route, then the adjustment instruction needs to be sent to the general computing resource scheduling function to modify the navigation route.

[0096] In the embodiment, it further includes: if the adjustment instruction is sent to the general computing resource scheduling function, the general computing resource scheduling function enables the target resource model in the first intelligent radio access network base station according to the adjustment instruction to modify the navigation route and sends the modified navigation route to the blind guiding device.

[0097] The general computing resource scheduling function receives the adjustment instruction, analyzes the position, distance and dynamic changes of the obstacle from the adjustment instruction, and the obstacle blocks the current navigation route. The general computing resource scheduling function enables the target resource model in the first intelligent radio access network base station, controls the target resource model in the first intelligent radio access network base station to modify the current navigation route, obtains the modified navigation route, and the general computing resource scheduling function controls the first intelligent radio access network base station to send the modified navigation route to the blind guiding device, and the blind guiding device continues to execute the navigation according to the modified navigation route. Further, when adjusting and modifying the navigation route, the handover strategy between base stations is also adjusted to ensure that the blind person can smoothly complete the path adjustment.

[0098] In an embodiment, it further includes: If the first intelligent radio access network base station senses that the passing environment of the navigation route changes during the navigation of the blind guiding device according to the navigation route, the first intelligent radio access network base station is further configured to modify the navigation route and send the modified navigation route to the blind guiding device, or send a walking speed adjustment instruction to the blind guiding device; the blind guiding device is further configured to adjust its own walking speed according to the walking speed adjustment instruction and remind the user.

[0099] Based on the environmental perception ability of the first intelligent radio access network base station, during the navigation of the blind guiding device according to the navigation route, if the first intelligent radio access network base station senses that the passing environment of the navigation route changes, such as sudden traffic congestion or road construction, then the first intelligent radio access network base station is further configured to modify the navigation route and send the modified navigation route to the blind guiding device, and the blind guiding device continues to perform navigation according to the modified navigation route. Or,

[0100] The first intelligent radio access network base station is further configured to send a walking speed adjustment instruction to the blind guiding device. The blind guiding device receives the speed adjustment instruction, adjusts its own walking speed and reminds the user to slow down the walking speed to safely pass through the sudden traffic congestion or road construction.

[0101] The computing power support of the AI RAN base station enables the blind guiding device to not need to undertake the inference tasks of complex AI models, reduces the energy consumption of the device, and only needs to be responsible for basic balance control and walking functions. The AI RAN node sends the inference results to the blind guiding device, including the voice feedback generated by the language model, the obstacle information recognized by the visual model, the travel instructions of the path planning model, etc. When multiple nodes cooperate to deploy the AI model, the general computing resource scheduling module will dynamically adjust the task allocation according to the communication and computing resources between the nodes to ensure the efficient completion of the inference tasks. The blind guiding device can efficiently cooperate with the AI RAN base station to complete the blind navigation task in a dynamic environment, significantly improving the safety and reliability of the journey. Modules such as the model management function, data management service, service management orchestration, and general computing resource scheduling realize the interactive cooperation between the network and the blind guiding device.

[0102] Applicable to a variety of complex travel scenarios, including but not limited to: Urban road environment: such as commercial blocks with dense pedestrians and busy intersections. Special passage environment: such as indoor scenarios that require precise navigation in subway stations, airports, etc. Sudden scenarios: such as road construction, bad weather or emergencies.

[0103] The core technical process of the embodiments of the present disclosure includes the following key steps: AI model scheduling: Through the RAN AILayer, the fragmented computing power is efficiently scheduled, and AI models such as path planning, language models, and visual recognition are distributedly deployed in the AI RAN base stations to support the intelligent functions of mechanical guide dogs. Perception assistance function: Utilize the environmental perception ability of the AI RAN base station to collect the surrounding environment information in real time, such as the distance to obstacles, the motion state of dynamic objects, etc., and feedback the results to the mechanical guide dog to provide safety tips. Dynamic path planning: When encountering obstacles or sudden road construction, re-plan the path in combination with the intelligent model of the AI RAN, and ensure the navigation is not interrupted through the base station handover mechanism. Voice interaction and instruction execution: Through the voice module of the mechanical guide dog, transmit the environmental information and path adjustment suggestions to the blind; at the same time, receive the voice instructions from the blind to dynamically adjust the route.

[0104] Figure 5 Schematic diagram showing a navigation method in the embodiments of the present disclosure, as Figure 5 shown, the embodiments of the present disclosure also provide a navigation method, which is applied to a first intelligent radio access network base station, and the method includes:

[0105] Step S502: Deploy the target resource model; the target resource model is deployed to the first intelligent radio access network base station by the general computing resource scheduling function; the general computing resource scheduling function belongs to the wireless intelligent management and orchestration function layer; the target resource model is determined and sent to the general computing resource scheduling function by the model management function according to the received model requirements; the model requirements are determined and sent to the model management function by the service management and orchestration function according to the guide request sent by the guide device.

[0106] Step S504: Determine the navigation route according to the enabling of the target resource model by the general computing resource scheduling function, and send it to the guide device and the general computing resource scheduling function; the guide device is used to navigate according to the navigation route; the general computing resource scheduling function is used to pre-deploy the target resource model for the second intelligent radio access network base stations along the navigation route according to the navigation route.

[0107] It should be noted that in the technical solution of the present disclosure, the acquisition, storage, use, processing, etc. of data all comply with the relevant regulations of national laws and regulations. In the embodiments of the present disclosure, various types of data such as personal identity data, operation data, and behavior data related to individuals, customers, and groups have been authorized.

[0108] Based on the same inventive concept, an embodiment of the present disclosure also provides a navigation device as described in the following embodiments. Since the principle of problem-solving in this device embodiment is similar to that of the above method embodiment, the implementation of this device embodiment can refer to the implementation of the above method embodiment, and repeated parts will not be elaborated.

[0109] Figure 6 A schematic diagram of a navigation device in an embodiment of the present disclosure is shown, as Figure 6 shown. This device is applied to the general computing resource scheduling function, and the general computing resource scheduling function belongs to the wireless intelligent management and orchestration function layer. This device includes:

[0110] A target resource model receiving module 601, configured to receive a target resource model; the target resource model is determined by the model management function according to the received model requirements and sent to the general computing resource scheduling function; the model requirements are determined by the service management and orchestration function according to the navigation request sent by the blind navigation device and sent to the model management function;

[0111] A target resource model deployment module 602, configured to deploy the target resource model to the first intelligent radio access network base station;

[0112] A target resource model enabling module 603, configured to enable the target resource model in the first intelligent radio access network base station, so that the first intelligent radio access network base station determines a navigation route and sends it to the blind navigation device and the general computing resource scheduling function; the blind navigation device is used to perform navigation according to the navigation route; the general computing resource scheduling function is used to pre-deploy the target resource model for the second intelligent radio access network base stations along the navigation route according to the navigation route.

[0113] It should be noted here that the above target resource model receiving module 601, target resource model deployment module 602, and target resource model enabling module 603 correspond to S202 - S206 in the method embodiment. The examples and application scenarios implemented by the above modules and the corresponding steps are the same, but are not limited to the content disclosed in the above method embodiment. It should be noted that the above modules, as part of the device, can be executed in a computer system such as a set of computer-executable instructions.

[0114] Based on the same inventive concept, an embodiment of the present disclosure also provides a navigation device as described in the following embodiments. Since the principle of problem-solving in this device embodiment is similar to that of the above method embodiment, the implementation of this device embodiment can refer to the implementation of the above method embodiment, and repeated parts will not be elaborated.

[0115] Figure 7 Another schematic diagram of a navigation device in an embodiment of the present disclosure is shown, as Figure 7 shown. This navigation device is applied to the first intelligent radio access network base station. This device includes:

[0116] A target resource model deployment module 701 is configured to deploy a target resource model. The target resource model is deployed to a first intelligent radio access network base station by a general computing resource scheduling function. The general computing resource scheduling function belongs to the radio intelligent management and orchestration function layer. The target resource model is determined by a model management function according to the received model requirements and sent to the general computing resource scheduling function. The model requirements are determined by a service management and orchestration function according to the blind guiding requests sent by the blind guiding device and sent to the model management function.

[0117] A target resource model enabling module 702 is configured to determine a navigation route according to the enabling of the target resource model by the general computing resource scheduling function and send it to the blind guiding device and the general computing resource scheduling function. The blind guiding device is configured to perform navigation according to the navigation route. The general computing resource scheduling function is configured to pre-deploy the target resource model for a second intelligent radio access network base station along the navigation route according to the navigation route.

[0118] It should be noted here that the above-mentioned target resource model deployment module 701 and target resource model enabling module 702 correspond to S502 - S504 in the method embodiment. The examples and application scenarios implemented by the above modules and the corresponding steps are the same, but are not limited to the content disclosed in the above method embodiment. It should be noted that the above modules, as part of the device, can be executed in a computer system such as a set of computer-executable instructions.

[0119] Those skilled in the art can understand that various aspects of the present disclosure can be implemented as a system, a method, or a program product. Therefore, various aspects of the present disclosure can be specifically implemented in the following forms, namely: a complete hardware implementation manner, a complete software implementation manner (including firmware, microcode, etc.), or an implementation manner combining hardware and software aspects, which can be collectively referred to as "circuitry", "module", or "system" here.

[0120] Next, refer to Figure 8 to describe the electronic device 800 according to this embodiment of the present disclosure. Figure 8 The shown electronic device 800 is only an example and should not bring any limitation to the functions and usage scope of the embodiments of the present disclosure.

[0121] As Figure 8 shown, the electronic device 800 is presented in the form of a general computing device. The components of the electronic device 800 may include, but are not limited to: the above-mentioned at least one processing unit 810, the above-mentioned at least one storage unit 820, and a bus 830 connecting different system components (including the storage unit 820 and the processing unit 810).

[0122] Among them, the storage unit stores program code, which can be executed by the processing unit 810, so that the processing unit 810 executes the steps according to various exemplary embodiments of the present disclosure described in the "Exemplary Method" section above of this specification. For example, the processing unit 810 may execute the following steps of the above method embodiment: applied to the general computing resource scheduling function, the general computing resource scheduling function belongs to the wireless intelligent management and orchestration function layer, and the method includes: receiving a target resource model; the target resource model is determined by the model management function according to the received model requirements and sent to the general computing resource scheduling function; the model requirements are determined by the service management and orchestration function according to the blind guidance request sent by the blind guidance device and sent to the model management function; deploying the target resource model to the first intelligent radio access network base station; enabling the target resource model in the first intelligent radio access network base station, so that the first intelligent radio access network base station determines a navigation route and sends it to the blind guidance device and the general computing resource scheduling function; the blind guidance device is used to navigate according to the navigation route; the general computing resource scheduling function is used to pre-deploy the target resource model for the second intelligent radio access network base stations along the navigation route according to the navigation route. The storage unit 820 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 8201 and / or a cache storage unit 8202, and may further include a read-only storage unit (ROM) 8203.

[0123] The storage unit 820 may further include a program / utilities 8204 having a set (at least one) of program modules 8205. Such program modules 8205 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment.

[0124] The bus 830 may represent one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local bus using any of the various bus structures.

[0125] The electronic device 800 can also communicate with one or more external devices 840 (such as a keyboard, a pointing device, a Bluetooth device, etc.), and can also communicate with one or more devices that enable a user to interact with the electronic device 800, and / or communicate with any device that enables the electronic device 800 to communicate with one or more other computing devices (such as a router, a modem, etc.). Such communication can be carried out through the input / output (I / O) interface 850. Moreover, the electronic device 800 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through the network adapter 860. As shown in the figure, the network adapter 860 communicates with other modules of the electronic device 800 through the bus 830. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in combination with the electronic device 800, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.

[0126] Through the description of the above embodiments, those skilled in the art can easily understand that the exemplary embodiments described herein can be implemented by software, or can be implemented by a manner of software combined with necessary hardware. Therefore, the technical solutions according to the embodiments of the present disclosure can be embodied in the form of a software product, and the software product can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.

[0127] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer program product, and the computer program product includes: a computer program, and when the computer program is executed by a processor, the above navigation method is implemented.

[0128] In an exemplary embodiment of the present disclosure, a computer-readable storage medium is further provided, and the computer-readable storage medium can be a readable signal medium or a readable storage medium. A program product capable of implementing the above method of the present disclosure is stored thereon. In some possible implementation manners, various aspects of the present disclosure can also be implemented in the form of a program product, which includes program code, and when the program product runs on a terminal device, the program code is used to enable the terminal device to execute the steps according to various exemplary embodiments of the present disclosure described in the above "exemplary method" section of this specification.

[0129] More specific examples of the computer-readable storage medium in the present disclosure may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0130] In the present disclosure, the computer-readable storage medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a readable program code is carried. Such a propagated data signal may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The readable signal medium may also be any readable medium other than the readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device.

[0131] Optionally, the program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wired, optical fiber, RF, etc., or any suitable combination of the above.

[0132] In a specific implementation, the program code for performing the operations of the present disclosure may be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, C++, etc., and also including conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, executed as a stand-alone software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., by connecting through the Internet using an Internet service provider).

[0133] It should be noted that although several modules or units of the device for action execution are mentioned in the above detailed description, such a division is not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more of the above-mentioned modules or units may be embodied in one module or unit. Conversely, the features and functions of one module or unit described above may be further divided and embodied by multiple modules or units.

[0134] In addition, although the various steps of the methods in the present disclosure are described in a specific order in the drawings, this does not require or imply that the steps must be performed in that specific order, or that all of the steps shown must be performed to achieve the desired result. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step for execution, and / or one step may be decomposed into multiple steps for execution, etc.

[0135] From the description of the above embodiments, those skilled in the art can easily understand that the exemplary embodiments described herein can be implemented by software or by a combination of software and necessary hardware. Therefore, the technical solutions according to the embodiments of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the methods according to the embodiments of the present disclosure.

[0136] After considering the specification and practicing the invention disclosed herein, those skilled in the art will readily conceive of other embodiments of the present disclosure. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include known common knowledge or conventional technical means in the technical field not disclosed by the present disclosure. The specification and examples are only to be considered as exemplary, and the true scope and spirit of the present disclosure are pointed out by the appended claims.

Claims

1. A navigation method, characterized in that: Applied to the general computing resource scheduling function, the general computing resource scheduling function belongs to the wireless intelligent management and orchestration function layer, the method includes: Receive a target resource model; the target resource model is determined by the model management function according to the received model requirements and sent to the general computing resource scheduling function; the model requirements are determined by the business management and scheduling function according to the blind guide request sent by the blind guide device and sent to the model management function; Deploying the target resource model to a first intelligent wireless access network base station; The target resource model in the first intelligent wireless access network base station is enabled so that the first intelligent wireless access network base station determines a navigation route and sends it to the blind guide device and the general computing resource scheduling function; the blind guide device is used to navigate according to the navigation route; the general computing resource scheduling function is used to pre-deploy the target resource model for the second intelligent wireless access network base station along the navigation route according to the navigation route.

2. The navigation method according to claim 1, characterized in that: The guide device is also used to: if there is an obstacle during the navigation of the guide device according to the navigation route, report the existence of the obstacle to the first intelligent wireless access network base station, so that the first intelligent wireless access network base station perceives the status information of the obstacle to determine an adjustment instruction, and send the adjustment instruction to the guide device or the general computing resource scheduling function.

3. The navigation method according to claim 2, characterized in that: Also includes: If the adjustment instruction is sent to the blind guide device, the blind guide device is further used to remind the user that there is an obstacle according to the adjustment instruction.

4. The navigation method according to claim 2, characterized in that: Also includes: If the adjustment instruction is sent to the general computing resource scheduling function, the general computing resource scheduling function enables the target resource model in the first intelligent wireless access network base station according to the adjustment instruction to modify the navigation route and sends the modified navigation route to the blind guide device.

5. The navigation method according to claim 1, characterized in that: Also includes: If the first intelligent wireless access network base station senses that the traffic environment of the navigation route has changed during the process of the guide device for the blind navigating according to the navigation route, the first intelligent wireless access network base station is further used to modify the navigation route and send the modified navigation route to the guide device for the blind, or send a walking speed adjustment instruction to the guide device for the blind; the guide device for the blind is also used to adjust its own walking speed according to the walking speed adjustment instruction and remind the user.

6. The navigation method according to claim 1, characterized in that: The target resource model is determined by the model management function according to the received model requirements and sent to the general computing resource scheduling function, including: The model management function receives the model requirements sent by the business management class orchestration function, and queries the storage location of the target resource model corresponding to the model requirements according to the model requirements; the storage location includes: an intelligent wireless access network base station and a model storage base station; The model management function obtains the target resource model from the storage location and sends it to the general computing resource scheduling function.

7. The navigation method according to claim 1, characterized in that: The model requirement is determined by the service management and arrangement function according to the blind guide request sent by the blind guide device, including: The blind guide device sends a blind guide request to the service management and arrangement function; the blind guide request is obtained by the blind guide device according to the user input voice recognition; The service management and orchestration function determines the model requirements required for the blind guiding request according to the blind guiding request.

8. The navigation method according to claim 1, characterized in that: Deploying the target resource model to a first intelligent wireless access network base station includes: According to the delay requirement of the blind guide request, the target resource model is deployed to the first intelligent wireless access network base station and reasoning is completed.

9. A navigation method, characterized in that: Applied to a first intelligent wireless access network base station, the method comprises: Deploy the target resource model; the target resource model is deployed to the first intelligent wireless access network base station by the general computing resource scheduling function; the general computing resource scheduling function belongs to the wireless intelligent management and orchestration function layer; the target resource model is determined by the model management function according to the received model requirements and sent to the general computing resource scheduling function; the model requirements are determined by the service management and orchestration function according to the blind guide request sent by the blind guide device and sent to the model management function; According to the enabling of the target resource model by the general computing resource scheduling function, a navigation route is determined and sent to the guide device and the general computing resource scheduling function; the guide device is used to navigate according to the navigation route; the general computing resource scheduling function is used to pre-deploy the target resource model for a second intelligent wireless access network base station along the navigation route according to the navigation route.

10. A navigation device, characterized in that: Applied to the general computing resource scheduling function, the general computing resource scheduling function belongs to the wireless intelligent management and orchestration function layer, and the device includes: A target resource model receiving module is used to receive a target resource model; the target resource model is determined by the model management function according to the received model requirements and sent to the general computing resource scheduling function; the model requirements are determined by the business management and scheduling function according to the blind guide request sent by the blind guide device and sent to the model management function; A target resource model deployment module, configured to deploy the target resource model to a first intelligent wireless access network base station; The target resource model enabling module is used to enable the target resource model in the first intelligent wireless access network base station, so that the first intelligent wireless access network base station determines the navigation route and sends it to the blind guide device and the general computing resource scheduling function; the blind guide device is used to navigate according to the navigation route; the general computing resource scheduling function is used to pre-deploy the target resource model for the second intelligent wireless access network base station along the navigation route according to the navigation route.

11. A navigation device, characterized in that: Applied to a first intelligent wireless access network base station, the device comprises: A target resource model deployment module is used to deploy a target resource model; the target resource model is deployed to the first intelligent wireless access network base station by the general computing resource scheduling function; the general computing resource scheduling function belongs to the wireless intelligent management and orchestration function layer; the target resource model is determined by the model management function according to the received model requirements and sent to the general computing resource scheduling function; the model requirements are determined by the business management and orchestration function according to the blind guide request sent by the blind guide device and sent to the model management function; A target resource model enabling module is used to determine a navigation route and send it to the blind guide device and the general computing resource scheduling function according to the enabling of the target resource model by the general computing resource scheduling function; the blind guide device is used to navigate according to the navigation route; the general computing resource scheduling function is used to pre-deploy the target resource model for the second intelligent wireless access network base station along the navigation route according to the navigation route.

12. An electronic device, characterized in that: include: processor; as well as A memory, configured to store executable instructions of the processor; The processor is configured to execute the navigation method of any one of claims 1 to 8 or claim 9 by executing the executable instructions.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the navigation method described in any one of claims 1 to 8 or claim 9 is implemented.

14. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the navigation method described in any one of claims 1 to 8 or claim 9 is implemented.

Images