Navigation method, apparatus, storage medium, electronic device and program product

Abstract

A navigation method, an apparatus, a storage medium, an electronic device, and a program product. The navigation method is applied to a general-purpose computing resource scheduling function and belongs to a wireless intelligent management and orchestration function layer, and comprises: receiving a target resource model, the target resource model being determined by a model management function on the basis of a received model requirement and being sent to the general-purpose computing resource scheduling function, and the model requirement being determined by a service management and orchestration function on the basis of a blind guidance request sent by a blind guidance device and being sent to the model management function; deploying the target resource model to a first intelligent radio access network base station; and enabling the target resource model in the first intelligent radio access network base station, such that the first intelligent radio access network base station determines a navigation route and sends same to the blind guidance device and the general-purpose computing resource scheduling function, the blind guidance device being used for performing navigation on the basis of the navigation route, and the general-purpose computing resource scheduling function being used for pre-deploying the target resource model for a second intelligent radio access network base station along the navigation route on the basis of the navigation route.

Description

Navigation methods and devices, storage media, electronic devices and software products

[0001] This disclosure is based on and claims priority to Chinese Patent Application No. 202510201419.1, filed on February 21, 2025, entitled "Navigation Method and Apparatus, Storage Medium and Electronic Device", the entire contents of which are incorporated herein by reference. Technical Field

[0002] This disclosure relates to the field of wireless communication technology, and in particular to a navigation method and apparatus, storage medium, electronic device and program product. Background Technology

[0003] With the increasing travel needs of visually impaired people, guide robots have been widely used as important assistive devices for the blind. Existing guide robot technologies are mainly based on embedded computing platforms, combining sensors and AI algorithms to provide visually impaired people with path planning, obstacle recognition, and voice interaction functions. These guide robots have improved the convenience and safety of travel for visually impaired people to some extent, but their technical architecture also has significant limitations.

[0004] On the one hand, traditional guide robots rely heavily on the computing power of embedded devices, making it difficult to run complex deep learning models, which limits the real-time performance and accuracy of the algorithms. On the other hand, their independent operation mode lacks the ability to coordinate with external resources and cannot make full use of advanced wireless networks and distributed computing power. Summary of the Invention

[0005] This disclosure provides a navigation method and apparatus, storage medium, electronic device and program product, which at least to some extent overcomes the problems of insufficient computing resources and lack of network collaboration in related technologies.

[0006] According to one aspect of this disclosure, a navigation method is provided for a general computing resource scheduling function, the general computing resource scheduling function belonging to the wireless intelligent management and orchestration function layer. The method includes: receiving a target resource model; the target resource model being determined by a model management function based on received model requirements and sent to the general computing resource scheduling function; the model requirements being determined by a service management orchestration function based on a guidance request sent by a guidance device and sent to the model management function; deploying the target resource model to a first intelligent wireless access network base station; enabling the 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 it to the guidance device and the general computing resource scheduling function; the guidance device is used to navigate according to the navigation route; and the general computing resource scheduling function is used to pre-deploy the target resource model for second intelligent wireless access network base stations along the navigation route according to the navigation route.

[0007] In some embodiments, the guide device is further configured to: if there is an obstacle during the navigation process 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 can sense the status information of the obstacle to determine the adjustment instruction, and send the adjustment instruction to the guide device or the general computing resource scheduling function.

[0008] In some embodiments, the method further includes: if the adjustment instruction is sent to the guide device, the guide device is also configured to alert the user to the presence of an obstacle based on the adjustment instruction.

[0009] In some embodiments, the method 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 wireless access network base station to modify the navigation route and send the modified navigation route to the guide device according to the adjustment instruction.

[0010] In some embodiments, the method further includes: if the first intelligent wireless access network base station senses a change in the traffic environment of the navigation route during the navigation process of the guide device, the first intelligent wireless access network base station is further configured to modify the navigation route and send the modified navigation route to the guide device, or send a walking speed adjustment command to the guide device; the guide device is further configured to adjust its own walking speed according to the walking speed adjustment command and remind the user.

[0011] In some embodiments, the target resource model is determined by the model management function based on the received model requirements and sent to the general computing resource scheduling function, including: the model management function receiving the model requirements sent by the service management orchestration function, querying the storage location of the target resource model corresponding to the model requirements based on the model requirements; the storage location includes: intelligent wireless access network base stations and model storage base stations; the model management function obtaining the target resource model from the storage location and sending it to the general computing resource scheduling function.

[0012] In some embodiments, the model requirements are determined by the business management orchestration function based on the guidance request sent by the guide device, including: the guide device sending the guidance request to the business management orchestration function; the guidance request being obtained by the guide device based on user input speech recognition; and the business management orchestration function determining the model requirements required for the guidance request based on the guidance request.

[0013] In some embodiments, deploying the target resource model to a first intelligent wireless access network base station includes: deploying the target resource model to the first intelligent wireless access network base station and completing inference based on the latency requirements required by the blindness request.

[0014] According to another aspect of this disclosure, a navigation method is also provided, applied to a first intelligent wireless access network base station. The method includes: deploying a target resource model; the target resource model being deployed to the first intelligent wireless access network base station by a general computing resource scheduling function; the general computing resource scheduling function belonging to the wireless intelligent management and orchestration function layer; the target resource model being determined by a model management function based on received model requirements and sent to the general computing resource scheduling function; the model requirements being determined by a service management orchestration function based on guidance requests sent by a guide device and sent to the model management function; determining a navigation route based on the enabling of the target resource model by the general computing resource scheduling function and sending it to the guide device and the general computing resource scheduling function; the guide device being used for navigation according to the navigation route; and the general computing resource scheduling function being used for pre-deploying the target resource model for second intelligent wireless access network base stations along the navigation route according to the navigation route.

[0015] According to another aspect of this disclosure, a navigation device is also provided, applied to a general computing resource scheduling function, the general computing resource scheduling function belonging to the wireless intelligent management and orchestration function layer. The device includes: a target resource model receiving module, used to receive a target resource model; the target resource model is determined by a model management function based on received model requirements and sent to the general computing resource scheduling function; the model requirements are determined by a service management orchestration function based on guidance requests sent by a guide device and sent to the model management function; a target resource model deployment module, used to deploy the target resource model to a first intelligent wireless access network base station; a target resource model enabling module, 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 a navigation route and sends 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 second intelligent wireless access network base stations along the navigation route according to the navigation route.

[0016] According to another aspect of this disclosure, a navigation device is also provided, applied to a first intelligent wireless access network base station. The device includes: a target resource model deployment module, used for deploying a target resource model; the target resource model is deployed to the first intelligent wireless access network base station by a 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 a model management function based on received model requirements and sent to the general computing resource scheduling function; the model requirements are determined by a service management orchestration function based on guidance requests sent by a guide device and sent to the model management function; a target resource model enabling module, used for determining a navigation route and sending it to the guide device and the general computing resource scheduling function based on enabling the target resource model by the general computing resource scheduling function; the guide device is used for navigation based on the navigation route; the general computing resource scheduling function is used for pre-deploying the target resource model for second intelligent wireless access network base stations along the navigation route based on the navigation route.

[0017] According to another aspect of this disclosure, an electronic device is also provided, comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the navigation method described in any of the preceding claims by executing the executable instructions.

[0018] According to another aspect of this disclosure, a computer-readable storage medium is also provided, on which a computer program is stored, which, when executed by a processor, implements the navigation method described in any of the preceding claims.

[0019] According to another aspect of this disclosure, a computer program product is also provided, including a computer program that, when executed by a processor, implements the navigation method of any of the above.

[0020] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0021] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure. It is obvious that the drawings described below are merely some embodiments of this disclosure, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0022] Figure 1 shows a schematic diagram of the system structure of a navigation method according to an embodiment of the present disclosure.

[0023] Figure 2 shows a schematic diagram of a navigation method according to an embodiment of the present disclosure.

[0024] Figure 3 shows a schematic diagram of the wireless intelligent management and orchestration functional layer architecture of a navigation method according to an embodiment of the present disclosure.

[0025] Figure 4 shows a schematic diagram of the interaction process of a navigation method according to an embodiment of the present disclosure.

[0026] Figure 5 shows another schematic diagram of a navigation method according to an embodiment of the present disclosure.

[0027] Figure 6 shows a schematic diagram of a navigation device according to an embodiment of the present disclosure.

[0028] Figure 7 shows another schematic diagram of a navigation device according to an embodiment of the present disclosure.

[0029] Figure 8 shows a structural block diagram of a computer device for a navigation method according to an embodiment of the present disclosure. Detailed Implementation

[0030] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that this disclosure will be more comprehensive and complete, and will fully convey the concept of the exemplary embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0031] Furthermore, the accompanying drawings are merely illustrative of this disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some 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, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0032] To facilitate understanding, before introducing the embodiments of this disclosure, the following explanations are provided for several terms involved in the embodiments of this disclosure:

[0033] The Radio Access Network (RAN) is an important component of modern communication systems, responsible for providing connectivity between mobile terminals (such as mobile phones, tablets, and IoT devices) and the core network.

[0034] Artificial Intelligence Radio Access Network (AI RAN), also known as Smart RAN, refers to the integration of artificial intelligence (AI) technology into traditional radio access networks (RANs) to achieve more efficient, flexible, and intelligent network management and operation. This combination aims to leverage the powerful capabilities of AI to address the challenges faced by traditional RANs and drive the development of mobile communication networks to a higher level.

[0035] The Radio Intelligent Management and Orchestration Layer (RAN AI Layer) is a conceptual layer in modern Radio Access Network (RAN) architecture specifically designed to integrate artificial intelligence (AI) technologies for intelligent network management and resource orchestration. It leverages AI and machine learning algorithms to optimize network performance, improve efficiency, reduce operating costs, and deliver a higher quality service experience.

[0036] The specific implementation methods of the embodiments of this disclosure will now be described in detail with reference to the accompanying drawings.

[0037] As shown in Figure 1, the system architecture includes terminal device 101, network 102, and network-side device 103.

[0038] Network 102 is a medium used to provide a communication link between terminal device 101 and network-side device 103, and can be a wired network or a wireless network.

[0039] The aforementioned wireless or wired networks use standard communication technologies and / or protocols. The network is typically the Internet, but can be any network, including but not limited to Local Area Networks (LANs), Metropolitan Area Networks (MANs), Wide Area Networks (WANs), mobile, wired or wireless networks, private networks, or any combination of virtual private networks. In some embodiments, technologies and / or formats, including Hyper Text Markup Language (HTML), Extensible Markup Language (XML), etc., are used to represent data exchanged over the network. Furthermore, conventional encryption technologies such as Secure Socket Layer (SSL), Transport Layer Security (TLS), Virtual Private Networks (VPNs), and Internet Protocol Security (IPSec) can be used to encrypt all or some links. In other embodiments, custom and / or dedicated data communication technologies may be used to replace or supplement the aforementioned data communication technologies.

[0040] The terminal device 101 in this embodiment can also be referred to as UE (User Equipment). In specific implementation, the terminal device 101 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 an in-vehicle device, etc. It should be noted that the specific type of terminal device is not limited in this embodiment of the invention.

[0041] The network-side device 103 can be a base station, relay, or access point, etc. The base station can be a 5G or later version base station (e.g., 5G NR NB), or a base station in other communication systems (e.g., eNB base station). It should be noted that the specific type of network-side device is not limited in this embodiment of the disclosure.

[0042] Those skilled in the art will understand that the number of terminal devices, networks, and network-side devices shown in Figure 1 is merely illustrative, and any number of terminal devices, networks, and network-side devices can be included according to actual needs. This disclosure does not limit the number of such devices.

[0043] Under the above system architecture, this disclosure provides a navigation method that can be executed by any electronic device with computing power.

[0044] In some embodiments, the navigation method provided in this disclosure can be executed by a terminal device in the above-described system architecture; in other embodiments, the navigation method provided in this disclosure can be executed by a server in the above-described system architecture; in still other embodiments, the navigation method provided in this disclosure can be implemented by the terminal device and the server in the above-described system architecture through interaction.

[0045] Figure 2 shows a schematic diagram of a navigation method according to an embodiment of the present disclosure. As shown in Figure 2, the navigation method provided in this embodiment of the present disclosure is applied to the general computing resource scheduling function, which belongs to the wireless intelligent management and orchestration function layer, and includes the following steps:

[0046] Step S202: Receive the target resource model; the target resource model is determined by the model management function based on the received model requirements and sent to the general computing resource scheduling function; the model requirements are determined by the business management orchestration function based on the guidance requests sent by the guidance equipment and sent to the model management function.

[0047] Step S204: Deploy the target resource model to the first intelligent wireless access network base station;

[0048] Step S206: 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 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 wireless access network base stations along the navigation route according to the navigation route.

[0049] This embodiment leverages the high-performance computing power of the first intelligent wireless access network (IWLAN) base station. The target resource model is deployed to the IWLAN base station, eliminating the need to deploy the model on the guide device itself. The high-performance computing power of the first IWLAN base station enables the intelligent upgrade of the guide device, allowing complex models to run and dynamically adapt to complex environments. By deploying the target resource model at the first IWLAN base station, the computing power of the intelligent wireless access network is fully utilized to achieve navigation tasks based on path planning, visual recognition, and language interaction. The network resource scheduling function pre-deploys the target resource model at second IWLAN base stations along the navigation route. An intelligent scheduling mechanism is designed for the navigation process among multiple IWLAN base stations, ensuring seamless switching and path optimization across base stations, improving navigation efficiency in complex scenarios, and achieving network collaboration in the guide process. This achieves efficient utilization of distributed computing power, reducing the guide device's dependence on high-performance embedded hardware and lowering equipment costs. It significantly improves navigation efficiency in complex scenarios, ensuring the continuity and reliability of walking for visually impaired individuals. It breaks through the computational bottleneck and independent operation mode limitations caused by the deployment of models locally on guide devices in traditional solutions, thereby significantly improving the safety and convenience of travel for visually impaired people.

[0050] Figure 3 shows a schematic diagram of the wireless intelligent management and orchestration functional layer architecture of a navigation method in an embodiment of the present disclosure. As shown in Figure 3, the wireless intelligent management and orchestration functional layer (RAN AI Layer) includes at least: model management function, data management service function, service management and orchestration function, and general computing resource scheduling function.

[0051] The model management function is responsible for the lifecycle management of AI models, including model selection, training, validation, deployment, and updates. Specifically, the model management function determines the target resource model based on the received model requirements.

[0052] Data management service functions are used to process data collected from RAN or smart radio access network base stations, including data acquisition, storage, processing and analysis.

[0053] The service management orchestration function is used to dynamically adjust network resources and service policies based on different service requirements. Specifically, the service management orchestration function determines model requirements based on received guidance requests.

[0054] The general computing resource scheduling function rationally allocates computing and transmission resources in the network to optimize performance and efficiency. Specifically, the general computing resource scheduling function receives the target resource model and deploys it to the first intelligent wireless access network base station. It also enables the target resource model in the first intelligent wireless access network base station to determine the navigation route and send it to the guide device, and then performs the general computing resource scheduling function.

[0055] Figure 4 illustrates the interaction process of a navigation method according to an embodiment of this disclosure. As shown in Figure 4, a guide device refers to a device used to assist visually impaired people in walking. Common guide devices may include mechanical guide dogs, which are equipped with communication modules to establish a real-time connection with an AI RAN base station to receive navigation commands and perform tasks such as path planning and obstacle recognition. Mechanical guide dogs rely on the powerful computing power and real-time perception capabilities of AI RAN base stations to ensure the intelligence and safety of the journey during the assistance process for blind people.

[0056] Once activated, the guide device monitors its operational status using built-in sensors, including real-time location, movement speed, and environmental information. This data is then uploaded via a wireless communication module to the AI ​​RAN base station's data management service unit for unified storage and management.

[0057] The first and second intelligent wireless access network base stations possess environmental awareness capabilities. They can detect changes in the environment. The intelligent wireless access network base stations can monitor dynamic information around the guide devices in real time, such as obstacle distances, vehicle speeds, and pedestrian movement directions, and transmit this data to the data management service unit for fusion processing.

[0058] The data management service unit integrates data from guide devices for the visually impaired and smart wireless access network base stations to provide high-precision input data for subsequent AI model inference.

[0059] In this embodiment of the disclosure, when the guide device is providing guidance, a visually impaired person, wanting to go to a certain place, speaks to the guide device, such as "I want to go to a certain place." The guide device receives and acquires the user's voice input and generates a guidance request based on the user's voice command. The guide device then sends the guidance request to the service management orchestration function.

[0060] In one embodiment, the business management orchestration function receives a guidance request, determines model requirements based on the guidance request, and sends them to the model management function. The model requirements, determined by the business management orchestration function based on the guidance request sent by the guidance device, include:

[0061] The guide device sends a guide request to the business management and orchestration function; the guide request is obtained by the guide device based on the user's voice input.

[0062] The business management orchestration function determines the model requirements needed for the guide request based on the guide request.

[0063] The business management orchestration function receives guidance requests from guide devices, analyzes and breaks down these requests into specific business requirements, and obtains the necessary AI resources as the model requirements for the guidance requests based on the models required for the normal operation of the guide devices and historical references. These model requirements may include: path planning model requirements, language model requirements, visual recognition model requirements, and base station handover model requirements. The business management orchestration function then sends these model requirements to the model management function.

[0064] In one embodiment, the target resource model is determined by the model management function based on the received model requirements and sent to the general computing resource scheduling function, including:

[0065] The model management function receives model requirements sent by the business management orchestration function, and queries the storage location of the target resource model corresponding to the model requirements based on the model requirements; the storage location includes: intelligent wireless access network base station and model storage base station;

[0066] The model management function retrieves the target resource model from the storage location and sends it to the general computing resource scheduling function.

[0067] The model management function receives model requirements sent by the business management orchestration function. Based on the model requirements, the model management function queries the storage location of the target resource model corresponding to the model requirements. The storage location can be the current intelligent wireless access network base station, other nearby intelligent wireless access network base stations, or a model storage base station dedicated to model storage.

[0068] The model management function retrieves the target resource model from the storage location. This target resource model may include: a path planning model, a language model, a visual recognition model, and a base station handover model. The model management function then sends the target resource model to the general computing resource scheduling function via the service management orchestration function.

[0069] The general computing resource scheduling function receives the target resource model and deploys the target resource model to the first intelligent wireless access network base station. In one embodiment, deploying the target resource model to the first intelligent wireless access network base station includes:

[0070] Based on the latency requirements of the guide request, the target resource model is deployed to the first intelligent wireless access network base station and inference is completed.

[0071] When providing guidance for the visually impaired, the required latency varies depending on the situation. For example, voice interaction and video services require millisecond-level response times, while path planning and decision-making tasks require millisecond-level response times. The general computing resource scheduling function selects a suitable base station as the first intelligent wireless access network (ARM) base station based on the latency requirements of the guidance request and the computing resources of the ARM base station, to deploy the target resource model and perform inference. In one embodiment, the first ARM base station can be a single ARM base station node or a distributed architecture composed of multiple ARM base station nodes. The selection of nodes mainly considers the current node's communication and computing resources.

[0072] The general computing resource scheduling function enables the target resource model in the first intelligent wireless access network base station and controls the target resource model to start path planning. Specifically, the target resource model is enabled to plan the path from the origin to the destination and plan the handover between intelligent wireless access network base stations along the way to ensure uninterrupted service when experiencing base station handover during the journey, ensuring the safety of visually impaired people during the journey, pre-configuring base stations along the way, and finally generating a navigation route.

[0073] The first intelligent wireless access network base station sends the navigation route to the guide device and the general computing resource scheduling function. The guide device receives the navigation route and broadcasts the specific route information to the user via voice, enabling the user to navigate according to the route. The general computing resource scheduling function receives the navigation route and pre-deploys target resource models for the second intelligent wireless access network base stations along the route. This ensures that the navigation service remains uninterrupted when the blind user switches between the first and second intelligent wireless access network base stations during their journey.

[0074] In one embodiment, the guide device is further configured to: if there is an obstacle during the navigation process 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 can sense the status information of the obstacle to determine the adjustment instruction, and send the adjustment instruction to the guide device or the general computing resource scheduling function.

[0075] During the navigation process of the guide device, if the visual model detects an obstacle ahead, it reports the obstacle to the first intelligent wireless access network base station. The first intelligent wireless access network base station itself has the ability to sense the environment; for example, it is equipped with cameras and radar to monitor environmental information in real time. The first intelligent wireless access network base station further senses the obstacle, confirms its location, distance, and dynamic changes, and determines an adjustment command based on the obstacle's location, distance, and dynamic changes. Adjustment commands are of two types: one type is where the obstacle does not obstruct the current navigation route, in which case an adjustment command can be sent to the guide device to inform the user of the obstacle's presence.

[0076] In one embodiment, the method further includes: if an adjustment instruction is sent to the guide device, the guide device is also used to alert the user of the presence of an obstacle based on the adjustment instruction.

[0077] When the guide device receives an adjustment command, it 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.

[0078] Another type of adjustment command is when an obstacle blocks the current navigation route. In this case, the adjustment command needs to be sent to the general computing resource scheduling function to modify the navigation route.

[0079] In one embodiment, the method further includes: if an 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 to modify the navigation route and send the modified navigation route to the guide device according to the adjustment instruction.

[0080] The general computing resource scheduling function receives adjustment commands, analyzes them to obtain the location, distance, and dynamic changes of obstacles, and identifies obstacles blocking the current navigation route. The function then enables the target resource model in the first intelligent wireless access network base station, controlling it to modify the current navigation route. This results in a modified navigation route, which the first intelligent wireless access network base station sends to the guide device, allowing it to continue navigation according to the modified route. Furthermore, while adjusting the navigation route, the function also adjusts the handover strategy between base stations to ensure a smooth path adjustment for the visually impaired user.

[0081] In one embodiment, the system further includes: if the first intelligent wireless access network base station senses a change in the accessibility of the navigation route during the navigation process of the guide device, the first intelligent wireless access network base station is further configured to modify the navigation route and send the modified navigation route to the guide device, or send a walking speed adjustment command to the guide device; the guide device is further configured to adjust its own walking speed according to the walking speed adjustment command and remind the user.

[0082] Based on the environmental perception capabilities of the first intelligent wireless access network base station, during the navigation process of the guide device according to the navigation route, if the first intelligent wireless access network base station senses a change in the traffic environment along the navigation route, such as a sudden traffic jam or road construction, then the first intelligent wireless access network base station will also modify the navigation route and send the modified navigation route to the guide device, which will then continue navigation according to the modified route. Alternatively,

[0083] The first intelligent wireless access network base station is also used to send walking speed adjustment commands to guide devices for the visually impaired. Upon receiving the speed adjustment command, the guide device adjusts its own walking speed and reminds the user to slow down to safely navigate sudden traffic jams or road construction.

[0084] The computing power of AI RAN base stations allows guide devices to function without the complex inference tasks of AI models, reducing energy consumption. They only need to handle basic balance control and walking functions. AI RAN nodes send inference results to the guide devices, including voice feedback generated by the language model, obstacle information identified by the visual model, and movement instructions from the path planning model. When multiple nodes collaboratively deploy AI models, the general computing resource scheduling module dynamically adjusts task allocation based on communication and computing resources between nodes, ensuring efficient completion of inference tasks. Guide devices can efficiently collaborate with AI RAN base stations to complete navigation tasks for the blind in dynamic environments, significantly improving travel safety and reliability. Modules such as model management, data management services, service management orchestration, and general computing resource scheduling enable interactive collaboration between the network and the guide devices.

[0085] It is suitable for a variety of complex travel scenarios, including but not limited to: Urban road environments: such as pedestrian-heavy commercial streets and busy intersections. Special passage environments: such as subway stations, airports, and other indoor scenarios requiring precise navigation. Emergency scenarios: such as road construction, severe weather, or emergencies.

[0086] The core technical process of this disclosure includes the following key steps: AI model scheduling: Fragmented computing power is efficiently scheduled through the RAN AI Layer, distributing AI models such as path planning, language models, and visual recognition in AI RAN base stations to support the intelligent functions of the mechanical guide dog. Perception assistance function: Utilizing the environmental perception capabilities of the AI ​​RAN base station, real-time environmental information is collected, such as obstacle distances and the motion status of dynamic objects, and the results are fed back to the mechanical guide dog to provide safety prompts. Dynamic path planning: When encountering obstacles or sudden road construction, the path is replanned using the intelligent model of the AI ​​RAN, and navigation is ensured to remain uninterrupted through a base station switching mechanism. Voice interaction and command execution: Environmental information and path adjustment suggestions are conveyed to the blind person through the voice module of the mechanical guide dog; simultaneously, it receives voice commands from the blind person to dynamically adjust the route.

[0087] Figure 5 shows a schematic diagram of a navigation method according to an embodiment of the present disclosure. As shown in Figure 5, the present disclosure also provides a navigation method applied to a first intelligent wireless access network base station, the method comprising:

[0088] Step S502: 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 orchestration function according to the guidance requests sent by the guidance device and sent to the model management function.

[0089] Step S504: Based on the enabling of the target resource model by the general computing resource scheduling function, determine the navigation route 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 wireless access network base stations along the navigation route according to the navigation route.

[0090] It should be noted that the acquisition, storage, use, and processing of data in this disclosed technical solution comply with the relevant provisions of national laws and regulations. The various types of data, such as personal identity data, operational data, and behavioral data related to individuals, customers, and groups, obtained in the embodiments of this disclosure have all been authorized.

[0091] Based on the same inventive concept, this disclosure also provides a navigation device, as described in the following embodiments. Since the principle by which this device embodiment solves the problem is similar to that of the above-described method embodiments, the implementation of this device embodiment can refer to the implementation of the above-described method embodiments, and repeated details will not be elaborated further.

[0092] Figure 6 shows a schematic diagram of a navigation device according to an embodiment of the present disclosure. As shown in Figure 6, the device is applied to the general computing resource scheduling function, which belongs to the wireless intelligent management and orchestration function layer. The device includes:

[0093] The target resource model receiving module 601 is used to receive target resource models; the target resource model is determined by the model management function based on the received model requirements and sent to the general computing resource scheduling function; the model requirements are determined by the business management orchestration function based on the guidance requests sent by the guidance equipment and sent to the model management function.

[0094] The target resource model deployment module 602 is used to deploy the target resource model to the first intelligent wireless access network base station;

[0095] The target resource model enabling module 603 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 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 wireless access network base stations along the navigation route according to the navigation route.

[0096] It should be noted that the target resource model receiving module 601, target resource model deployment module 602, and target resource model enabling module 603 mentioned above correspond to S202 to S206 in the method embodiment. The examples and application scenarios implemented by the above modules and 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 apparatus, can be executed in a computer system such as a set of computer-executable instructions.

[0097] Based on the same inventive concept, this disclosure also provides a navigation device, as described in the following embodiments. Since the principle by which this device embodiment solves the problem is similar to that of the above-described method embodiments, the implementation of this device embodiment can refer to the implementation of the above-described method embodiments, and repeated details will not be elaborated further.

[0098] Figure 7 shows another schematic diagram of a navigation device according to an embodiment of the present disclosure. As shown in Figure 7, the navigation device is applied to a first intelligent wireless access network base station, and the device includes:

[0099] The target resource model deployment module 701 is used to 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 based on the received model requirements and sent to the general computing resource scheduling function. The model requirements are determined by the service management orchestration function based on the guidance requests sent by the guidance device and sent to the model management function.

[0100] The target resource model enabling module 702 is used to enable the target resource model according to the general computing resource scheduling function, determine the navigation route 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 wireless access network base stations along the navigation route according to the navigation route.

[0101] It should be noted that the target resource model deployment module 701 and the target resource model enabling module 702 mentioned above correspond to S502 to 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 apparatus, can be executed in a computer system such as a set of computer-executable instructions.

[0102] Those skilled in the art will understand that various aspects of this disclosure can be implemented as a system, method, or program product. Therefore, various aspects of this disclosure can be specifically implemented in the following forms: a completely hardware implementation, a completely software implementation (including firmware, microcode, etc.), or a combination of hardware and software aspects, collectively referred to herein as a "circuit," "module," or "system."

[0103] The electronic device 800 according to this embodiment of the present disclosure will now be described with reference to FIG8. The electronic device 800 shown in FIG8 is merely an example and should not be construed as limiting the functionality and scope of the embodiments of the present disclosure.

[0104] As shown in Figure 8, the electronic device 800 is presented in the form of a general-purpose computing device. The components of the electronic device 800 may include, but are not limited to: at least one processing unit 810, at least one storage unit 820, and a bus 830 connecting different system components (including storage unit 820 and processing unit 810).

[0105] The storage unit stores program code that can be executed by the processing unit 810, causing the processing unit 810 to perform the steps described in the "Exemplary Methods" section of this specification according to various exemplary embodiments of this disclosure. For example, the processing unit 810 can perform the following steps of the above method embodiment: applying to the general computing resource scheduling function, which belongs to the wireless intelligent management and orchestration function layer, 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 orchestration function according to the guidance request sent by the guide device and sent to the model management function; deploying the target resource model to the first intelligent wireless access network base station; enabling 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 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 wireless access network base stations along the navigation route according to the navigation route. Storage unit 820 may include a readable medium in the form of a volatile storage unit, such as random access memory (RAM) 8201 and / or cache memory 8202, and may further include a read-only memory (ROM) 8203.

[0106] The storage unit 820 may also include a program / utility 8204 having a set (at least one) of program modules 8205, including but 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.

[0107] Bus 830 can represent one or more of several types of bus structures, including a memory cell bus or memory cell controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local bus using any of the various bus structures.

[0108] Electronic device 800 can also communicate with one or more external devices 840 (e.g., keyboard, pointing device, Bluetooth device, etc.), and with one or more devices that enable a user to interact with electronic device 800, and / or with any device that enables electronic device 800 to communicate with one or more other computing devices (e.g., router, modem, etc.). This communication can be performed via input / output (I / O) interface 850. Furthermore, electronic device 800 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 860. As shown, network adapter 860 communicates with other modules of electronic device 800 via bus 830. It should be understood that, although not shown in the figures, other hardware and / or software modules can be used in conjunction with 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.

[0109] From the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of this disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, terminal device, or network device, etc.) to execute the methods according to the embodiments of this disclosure.

[0110] In particular, according to embodiments of this disclosure, the process described above with reference to the flowchart can be implemented as a computer program product, which includes a computer program that, when executed by a processor, implements the above-described navigation method.

[0111] In exemplary embodiments of this disclosure, a computer-readable storage medium is also provided, which may be a readable signal medium or a readable storage medium. A program product capable of implementing the methods described above is stored thereon. In some possible implementations, various aspects of this disclosure may also be implemented as a program product including program code, which, when run on a terminal device, causes the terminal device to perform the steps described in the "Exemplary Methods" section of this specification according to various exemplary embodiments of this disclosure.

[0112] More specific examples of computer-readable storage media in this disclosure may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0113] In this disclosure, a computer-readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, carrying readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A readable signal medium may also be any readable medium other than a readable storage medium, capable of transmitting, propagating, or transmitting a program for use by or in connection with an instruction execution system, apparatus, or device.

[0114] Optionally, the program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical fiber, RF, etc., or any suitable combination thereof.

[0115] In practical implementation, program code for performing the operations of this disclosure can be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java and C++, and conventional procedural programming languages ​​such as C or similar languages. The program code can execute entirely on the user's computing device, partially on the user's device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0116] It should be noted that although several modules or units for the device used to perform actions have been mentioned in the detailed description above, this division is not mandatory. In fact, according to embodiments of this disclosure, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.

[0117] Furthermore, although the steps of the method in this disclosure are described in a specific order in the accompanying drawings, this does not require or imply that the steps must be performed in that specific order, or that all the steps shown must be performed to achieve the desired result. Additional or alternative steps may be omitted, multiple steps may be combined into one step, and / or a step may be broken down into multiple steps.

[0118] From the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of this disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, mobile terminal, or network device, etc.) to execute the methods according to the embodiments of this disclosure.

[0119] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the appended claims.

Claims

1. A navigation method, wherein, The method, applied to the general computing resource scheduling function, which belongs to the wireless intelligent management and orchestration function layer, includes: Receive target resource model; the target resource model is determined by the model management function based on the received model requirements and sent to the general computing resource scheduling function; the model requirements are determined by the business management orchestration function based on the guidance request sent by the guidance device and sent to the model management function; Deploy the target resource model to the 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 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 wireless access network base stations along the navigation route according to the navigation route.

2. The navigation method according to claim 1, wherein, The guide device is further configured to: if there is an obstacle during the navigation process 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 can sense the status information of the obstacle to determine the 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, wherein, It also includes: if the adjustment instruction is sent to the guide device, the guide device is further used to remind the user of the existence of an obstacle according to the adjustment instruction.

4. The navigation method according to claim 2, wherein, It 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 to modify the navigation route and send the modified navigation route to the guide device according to the adjustment instruction.

5. The navigation method according to claim 1, wherein, It also includes: if the first intelligent wireless access network base station senses a change in the traffic environment of the navigation route during the navigation process of the guide device, 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, or send a walking speed adjustment command to the guide device; the guide device is further used to adjust its own walking speed according to the walking speed adjustment command and remind the user.

6. The navigation method according to claim 1, wherein, The target resource model is determined by the model management function based on the received model requirements and sent to the general computing resource scheduling function, including: The model management function receives model requirements sent by the business management orchestration function, and queries the storage location of the target resource model corresponding to the model requirements; the storage location includes: intelligent wireless access network base station and model storage base station; The model management function retrieves 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, wherein, The model requirements are determined by the business management orchestration function based on the guidance requests sent by the guidance devices, including: The guide device sends a guide request to the business management and orchestration function; the guide request is obtained by the guide device based on user input voice recognition. The business management orchestration function determines the model requirements needed for the guide request based on the guide request.

8. The navigation method according to claim 1, wherein, Deploying the target resource model to the first intelligent wireless access network base station includes: Based on the latency requirements of the guide request, the target resource model is deployed to the first intelligent wireless access network base station and inference is completed.

9. A navigation method, wherein, Applied to a first intelligent wireless access network base station, the method includes: The target resource model is deployed; 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 based on the received model requirements and sent to the general computing resource scheduling function; the model requirements are determined by the service management orchestration function based on the guidance requests sent by the guide device and sent to the model management function. Based on 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 the second intelligent wireless access network base stations along the navigation route according to the navigation route.

10. A navigation device, wherein, The device, which is used for general computing resource scheduling, and which belongs to the wireless intelligent management and orchestration function layer, includes: The target resource model receiving module is used to receive target resource models; the target resource model is determined by the model management function based on the received model requirements and sent to the general computing resource scheduling function; the model requirements are determined by the business management orchestration function based on the guidance requests sent by the guidance devices and sent to the model management function. The target resource model deployment module is used to deploy the target resource model to the 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 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 wireless access network base stations along the navigation route according to the navigation route.

11. A navigation device, wherein, The device, applied to a first intelligent wireless access network base station, comprises: The target resource model deployment module is used to 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 based on the received model requirements and sent to the general computing resource scheduling function; the model requirements are determined by the service management orchestration function based on the guidance requests sent by the guide device and sent to the model management function. The target resource model enabling module is used to determine a navigation route and send it to the guide device and the general computing resource scheduling function based on the enabling of the target resource model by 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 wireless access network base stations along the navigation route according to the navigation route.

12. An electronic device, wherein, include: processor; as well as Memory for storing the 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, wherein, When the computer program is executed by a processor, it implements the navigation method according to any one of claims 1 to 8 or claim 9.

14. A computer program product comprising a computer program, wherein, When the computer program is executed by a processor, it implements the navigation method according to any one of claims 1 to 8 or claim 9.

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