CN116614367A

CN116614367A - Grouping method and model updating method of terminal equipment

Info

Publication number: CN116614367A
Application number: CN202210120849.7A
Authority: CN
Inventors: 董辰; 殷启昆; 许晓东; 韩书君; 王碧舳
Original assignee: Beijing University of Posts and Telecommunications
Current assignee: Beijing University of Posts and Telecommunications
Priority date: 2022-02-09
Filing date: 2022-02-09
Publication date: 2023-08-18

Abstract

The disclosure provides a grouping method and a model updating method of terminal equipment, and relates to the technical field of communication. The specific implementation scheme is as follows: and accessing the terminal equipment which is stored with the same model and is to be built into the same terminal cluster into the same network area, and adopting the same protocol to carry out grouping in the same network area, so that all the terminal equipment in the terminal cluster after grouping adopt the same protocol to process data. The method and the device realize that the processing results of the model data of all the terminal devices in the grouped terminal clusters are mutually equivalent, so that the flexibility of data processing is improved, and preparation is made for subsequent synchronous model updating.

Description

Grouping method and model updating method of terminal equipment

Technical Field

The disclosure relates to the technical field of communication, and in particular relates to a grouping method and a model updating method of terminal equipment.

Background

In future everything intelligent network, network nodes tend to be intelligent, network node intellectualization causes rapid expansion of information space and even dimension disaster, aggravates difficulty in representing information bearing space, causes difficulty in matching traditional network service capacity and high-dimension information space, and causes overlarge data volume of communication transmission, so that an information service system cannot continuously meet the requirements of complex, diversified and intelligent information transmission of people. And the service information is encoded, transmitted and decoded through the artificial intelligent model, so that the data transmission quantity in the communication service can be obviously reduced, and the information transmission efficiency is greatly improved. These models are relatively stable and have reusability and transmissibility. The propagation and multiplexing of the model are beneficial to enhancing the network intelligence, reducing the cost and the resource waste, and forming an intelligent network with intelligent nodes and extremely simple network.

There are a large number of sensors in the intelligent network in which the model is stored. The sensor perceives the surrounding environment to acquire data, and the acquired data is packed and sent into the model for data processing. How to improve the efficiency of data exchange and sharing in the data processing process and how to realize the synchronous updating of the models of a plurality of sensors are also the urgent problem to be solved.

Disclosure of Invention

The disclosure provides a grouping method and a model updating method of terminal equipment.

According to a first aspect of the present disclosure, a method for grouping terminal devices is provided, where the method is applied to terminal devices to be grouped into the same terminal cluster, and models stored in the terminal devices are the same;

the grouping method comprises the following steps:

the terminal equipment is accessed and grouped by adopting a preset protocol in a preset network area, so that the grouped terminal cluster can perform equivalent processing of model data;

wherein the equivalent processing of the model data includes:

and the processing results of the model data of all the terminal devices in the terminal cluster are equivalent.

According to a second aspect of the present disclosure, a method for updating a model is provided, where a terminal cluster is obtained by using a grouping method of the terminal device as described above;

and sending model updating signals to each other according to all the terminal devices in the updating request terminal cluster, so that the models in all the terminal devices in the terminal cluster are synchronously updated.

According to a third aspect of the present disclosure, there is provided a grouping apparatus of terminal devices, where the grouping apparatus is applied to terminal devices to be grouped into the same terminal cluster, and models stored by the terminal devices are the same, including:

the first grouping unit is used for enabling the terminal equipment to access and conduct grouping by adopting a preset protocol in a preset network area, so that the grouped terminal cluster can conduct equivalent processing of model data;

wherein the equivalent processing of the model data includes:

According to a fourth aspect of the present disclosure, there is provided a model updating apparatus, including:

the second grouping unit is used for obtaining a terminal cluster by adopting the grouping method of the terminal equipment;

and the updating unit is used for mutually transmitting a model updating signal according to all the terminal devices in the updating request terminal cluster, so that the models in all the terminal devices in the terminal cluster are synchronously updated.

According to a fifth aspect of the present disclosure, there is provided an electronic device comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method described above.

According to a sixth aspect of the present disclosure, there is provided a non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the above-described method.

The beneficial effects that this disclosure provided technical scheme brought are:

according to the scheme provided by the embodiment of the disclosure, the terminal equipment to be coded in the same terminal cluster, which stores the same model, is accessed into the same network area, and the same protocol is adopted in the same network area for grouping, so that all the terminal equipment in the terminal cluster after grouping processes data by adopting the same protocol, the processing results of the model data of all the terminal equipment in the terminal cluster after grouping are mutually equivalent, the flexibility of data processing is further improved, and preparation is made for subsequent model synchronous updating.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.

Drawings

The drawings are for a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:

fig. 1 is a flowchart of a grouping method of terminal devices according to an embodiment of the present disclosure;

FIG. 2 is a flow chart of a model update method according to a second embodiment of the present disclosure;

fig. 3 is a block diagram of an electronic device of an embodiment of the present disclosure.

Detailed Description

Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

The intelligent network transmits service information mainly through an artificial intelligent model, and the first service information to be transmitted is compressed into second service information related to the artificial intelligent model through the artificial intelligent model, so that data traffic in the network is greatly reduced, and the compression efficiency is far higher than that of a traditional compression algorithm. The sending end equipment extracts the first service information by utilizing a preconfigured first model and obtains second service information to be transmitted; and the sending end equipment transmits the second service information to the receiving end equipment. The receiving terminal equipment receives the second service information and carries out recovery processing on the second service information by utilizing a second pre-configured model to obtain third service information; the third service information recovered by the second model has a slight quality difference compared with the original first service information, but the third service information and the first service information are consistent in content, and the experience of the user is almost unchanged. Before the sending end device transmits the second service information to the receiving end device, the method further comprises: the updating module judges whether the receiving end equipment needs to update the second model, and transmits a preconfigured third model to the receiving end equipment when judging that the second model needs to be updated, and the receiving end equipment updates the second model by using the third model. The service information is processed through the pre-trained artificial intelligent model, so that the data transmission quantity in the communication service can be obviously reduced, and the information transmission efficiency is greatly improved. These models are relatively stable and have reusability and transmissibility. The propagation and multiplexing of the model will help to enhance network intelligence while reducing overhead and resource waste. The model can be divided into a plurality of model slices according to different dividing rules, the model slices can be transmitted among different network nodes, and the model slices can be assembled into the model. Model slices may be stored scattered across multiple network nodes. When a network node requests to find itself missing or needing to update a model or a slice of a model, it may request from surrounding nodes that may have the slice by way of a request.

The transmission of the service information and the transmission of the model both occur in a communication network, and communication transmission is performed based on a network protocol. The network nodes passing on the path transmitting the traffic information and the model comprise intelligent Jian Lu routers. The functions of the intelligent Jian Lu router include, but are not limited to, business information transmission, model transmission, absorption model self-updating, security protection and the like. The transmission function of the intelligent Jian Lu router involves transmitting traffic information or models from a source node to a sink node, where there are multiple paths between the source node and the sink node. The model transmission function of the intelligent Jian Lu router can transmit model slices, and the model slices are multiplexed by reasonably arranging the model slices to travel a plurality of paths, so that the model transmission rate is improved.

Example 1

Fig. 1 illustrates a grouping method of terminal devices, provided by an embodiment of the present disclosure, applied to terminal devices to be grouped into the same terminal cluster, where models stored in the terminal devices are the same;

as shown in fig. 1, the grouping method includes:

step S101, terminal equipment is accessed and grouped by adopting a preset protocol in a preset network area, so that the grouped terminal cluster can perform equivalent processing of model data;

wherein the equivalent processing of the model data includes:

According to the method and the system, the terminal equipment which is stored with the same model and is to be built into the same terminal cluster is accessed into the same network area, and the same protocol is adopted in the same network area to carry out grouping, so that all the terminal equipment in the terminal cluster after grouping adopts the same protocol to process data, the processing results of all the terminal equipment in the terminal cluster after grouping on model data are mutually equivalent, the flexibility of data processing is improved, and preparation is made for subsequent model synchronous updating.

Illustratively, eight terminal devices to be programmed into the same terminal cluster are included: a first terminal device A1, a second terminal device A2 … … and an eighth terminal device A8;

each terminal device stores a model, and the eight terminal devices correspondingly store a first model B1 and a second model B2 … … and an eighth model B8, wherein the first model B1 and the second model B2 … … and the eighth model B8 are the same model;

at this time, the eight terminal devices are required to be in the same preset network node, and the eight terminal devices are grouped by adopting the same preset protocol so as to obtain a terminal cluster;

and the processing results of the model data of all the terminal devices in the terminal cluster are mutually equivalent; for example:

the first terminal device A1 acquires data, and can process the data in the following two ways, and the processing results obtained in the two ways are equivalent;

mode one: the first model B1 of the first terminal equipment A1 processes the data to obtain a processing result;

mode two: after the first terminal device A1 acquires the data, the data is transmitted to the eighth terminal device A8, so that the eighth model B8 of the eighth terminal device A8 processes the data to obtain a processing result, and then the eighth terminal device A8 returns the processing result to the first terminal device A1.

The embodiments of the present disclosure provide a possible implementation manner, where the signal strength of the preset network area is greater than or equal to the preset signal strength threshold.

Specifically, by setting the signal strength of the preset network area to be greater than or equal to the preset signal strength threshold, the signal strength of the preset network area is ensured to be capable of meeting the requirement that each terminal device in the terminal cluster senses data, packages the data and transmits the data, and ensures synchronous updating of a subsequent model.

Specifically, the preset signal strength threshold may be set in a customized manner according to the requirement.

For example, the signal strength of the base station vicinity or the relay node vicinity may be greater than or equal to the preset signal strength threshold by default, for example, the preset network region may be set to a smaller region, and the smaller region may be the base station vicinity or the relay node vicinity, so that the signal strength in the region is ensured to be stronger.

The embodiment of the disclosure provides a possible implementation manner, and the preset protocol is a deployment protocol.

In particular, by grouping the terminal devices using the same preset protocol, the complexity of grouping is reduced, and it is ensured that each terminal device in the grouped terminal cluster can mutually replace in terms of protocol.

The disclosed embodiments provide one possible implementation, wherein the deployment protocol may be a synchronization protocol.

The embodiment of the disclosure provides a possible implementation manner, wherein the terminal device comprises at least one of a sensor, an internet of things device and an intelligent device.

Specifically, the disclosure is not only applicable to sensors, but also applicable to internet of things (IoT) devices, and more applicable to smart devices such as mobile phones, that is, the terminal device in the disclosure is not limited to the above-described illustrated sensors, internet of things devices, and smart devices, and the terminal device may also be other devices that can implement a model.

Example two

The foregoing is a description of a grouping method of terminal devices, and a model updating method will be described below.

Fig. 2 illustrates a model updating method provided by an embodiment of the present disclosure, as shown in fig. 2, including:

step S201, terminal equipment is accessed and grouped by adopting a preset protocol in a preset network area, so that the grouped terminal cluster can perform equivalent processing of model data;

wherein,,

the method comprises the steps that the method is to be programmed into terminal equipment in the same terminal cluster, and models stored by the terminal equipment are the same;

the equivalent processing of the model data includes:

the processing results of the model data of all the terminal devices in the terminal cluster are equivalent;

step S202, according to the update request, all the terminal devices in the terminal cluster send model update signals to each other, so that the models in all the terminal devices in the terminal cluster are updated synchronously.

According to the method and the system, the terminal equipment which is stored with the same model and is to be built into the same terminal cluster is accessed into the same network area, and the same protocol is adopted in the same network area to carry out grouping, so that all the terminal equipment in the terminal cluster after grouping adopts the same protocol to process data, the processing results of all the terminal equipment in the terminal cluster after grouping on model data are mutually equivalent, the flexibility of data processing is improved, and preparation is made for subsequent model synchronous updating;

when the model in the terminal cluster needs to be updated, the synchronous update is triggered by mutually transmitting the model update signals through all the terminal devices, so that the models in all the terminal devices in the terminal cluster are synchronously updated, and the difference of data processing caused by partial model update is avoided.

Illustratively, eight terminal devices to be programmed into the same terminal cluster are included, and each terminal device stores a model, and the models stored by the eight terminal devices are the same model;

the terminal cluster receives the update request, and all the terminal devices mutually send model update signals, so that synchronous update is triggered, and the models in all the terminal devices in the terminal cluster are synchronously updated;

for example, each terminal device may send a model update signal to an adjacent terminal device.

The embodiment of the disclosure provides a possible implementation manner, and the preset protocol is a sensor deployment protocol.

The disclosed embodiments provide one possible implementation, wherein the sensor deployment protocol may be a synchronization protocol.

For the embodiment of the present disclosure, the embodiment of the method for calculating the similarity of the beneficial effects achieved by the embodiment of the present disclosure and the model is not described herein.

The embodiment of the disclosure provides a possible implementation manner, wherein all terminal devices in a terminal cluster mutually send a model update signal at a first preset time, and synchronously update a model at a second preset time.

Specifically, when the terminal cluster needs to update the model, the model of each terminal device in the same terminal device group needs to be updated at the same time, so that the synchronism between the model updates is maintained.

The model update signal may include a second preset time.

For example, the terminal devices in the same group may select a certain time to send a model update signal between each other, trigger a unified update mechanism, and further select to update the model synchronously at a second preset time.

For example, the terminal devices in the same group may send a model update signal to the neighboring nodes, so that the terminal devices in the same group all receive the model update signal sent by the neighboring nodes, so as to trigger a unified update mechanism, and further select to synchronously update the model at a second preset time.

The second preset time may select the network to use less late at night because model updates may cause network instability.

The embodiment of the disclosure provides a possible implementation manner, before all terminal devices in the terminal cluster send the model update signals to each other, the method further includes:

receiving a model updating requirement of a model corresponding to the terminal cluster;

judging whether the number of the model updating demands exceeds an updating threshold value or not;

if yes, the update request is issued to the terminal cluster.

Specifically, the model update is a spontaneous update, and the intelligent network automatically updates the model according to the user demand. When the intelligent network receives a model update requirement exceeding an update threshold, the models in the terminal equipment of the terminal cluster can select a certain time, send model update signals between the terminal equipment and the model equipment to trigger a unified update mechanism, and select to update the models at the same time at a second preset time.

The models in the terminal cluster are all preset models C;

the network can acquire a plurality of user requirements related to a preset model C;

the network can judge whether the preset model C needs to be updated according to the user requirements to obtain a judging result, wherein the judging result comprises a model updating requirement and a model non-updating requirement;

if yes, issuing an update request to the terminal cluster;

if not, continuing to acquire the user requirements of the association and the preset model C.

In the above example, only when the model update requirement corresponding to the user requirement exceeds the update threshold, the network issues an update request to the terminal cluster, and starts the model synchronous update of the terminal cluster.

Example III

The grouping device of terminal equipment provided in the embodiment of the present disclosure is applied to terminal equipment to be coded in the same terminal cluster, where models stored in the terminal equipment are the same, and includes:

wherein the equivalent processing of the model data includes:

For the embodiments of the present disclosure, the embodiments of the method for calculating the similarity of the beneficial effects achieved by the embodiments and the models are not described herein.

Example IV

The embodiment of the disclosure provides a model updating device, which comprises:

The disclosed embodiments provide a possible implementation manner, wherein the updating unit 402 further includes:

the receiving module is used for receiving the model updating requirement of the model corresponding to the terminal cluster;

the judging module is used for judging whether the number of the model updating demands exceeds an updating threshold value or not;

if yes, the update request is issued to the terminal cluster.

For the embodiments of the present disclosure, the beneficial effects achieved by the embodiments of the method for updating a model are the same as those of the embodiments of the method for updating a model described above, and are not described herein again.

In the technical scheme of the disclosure, the acquisition, storage, application and the like of the related user personal information all conform to the regulations of related laws and regulations, and the public sequence is not violated.

According to embodiments of the present disclosure, the present disclosure also provides an electronic device and a readable storage medium.

The electronic device includes:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,,

The non-transitory computer readable storage medium stores computer instructions for causing a computer to perform the methods provided by the embodiments of the present disclosure.

FIG. 3 illustrates a schematic block diagram of an example electronic device 300 that may be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 3, the apparatus 300 includes a computing unit 301 that may perform various suitable actions and processes according to a computer program stored in a Read Only Memory (ROM) 302 or a computer program loaded from a storage unit 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the device 300 may also be stored. The computing unit 301, the ROM 302, and the RAM 303 are connected to each other by a bus 304. An input/output (I/O) interface 307 is also connected to bus 304.

Various components in device 300 are connected to I/O interface 305, including: an input unit 306 such as a keyboard, a mouse, etc.; an output unit 307 such as various types of displays, speakers, and the like; a storage unit 308 such as a magnetic disk, an optical disk, or the like; and a communication unit 309 such as a network card, modem, wireless communication transceiver, etc. The communication unit 309 allows the device 300 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.

The computing unit 301 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 301 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 301 performs the respective methods and processes described above, for example, a grouping method or a model updating method of terminal devices. For example, in some embodiments, a grouping method or model updating method of terminal devices may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 307. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 300 via the ROM 302 and/or the communication unit 309. When the computer program is loaded into the RAM 303 and executed by the computing unit 301, one or more steps of one of the grouping method or the model updating method of the terminal device described above may be performed. Alternatively, in other embodiments, the computing unit 301 may be configured to perform a grouping method or model updating method of the terminal devices by any other suitable means (e.g. by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.

The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel or sequentially or in a different order, provided that the desired results of the technical solutions of the present disclosure are achieved, and are not limited herein.

The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.

Claims

1. The grouping method of the terminal equipment is characterized by being applied to the terminal equipment to be grouped into the same terminal cluster, wherein the models stored by the terminal equipment are the same;

the grouping method comprises the following steps:

the terminal equipment is accessed and grouped by adopting a preset protocol in a preset network area, so that the grouped terminal clusters can perform equivalent processing of model data;

wherein the equivalent processing of the model data includes:

2. The grouping method of terminal devices of claim 1, wherein the signal strength of the preset network area is greater than or equal to a preset signal strength threshold.

3. The grouping method of terminal devices according to claim 1, wherein the preset protocol is a deployment protocol.

4. A method of grouping terminal devices as claimed in claim 3, wherein the deployment protocol is a synchronisation protocol.

5. The method of grouping terminal devices of claim 1, wherein the terminal devices comprise at least one of a sensor, an internet of things device, and a smart device.

6. A method for updating a model based on a terminal cluster, comprising:

obtaining a terminal cluster by adopting a grouping method of terminal equipment according to one of claims 1-5 and ;

and sending model updating signals to all the terminal devices in the terminal cluster according to the updating request so that the models in all the terminal devices in the terminal cluster are synchronously updated.

7. The model updating method according to claim 6, wherein all terminal devices in the terminal cluster send the model updating signals to each other at a first preset time, and synchronously update the model at a second preset time.

8. The model updating method according to claim 6 or 7, wherein before all terminal devices in the terminal cluster mutually transmit the model updating signal, further comprising:

receiving a model update requirement for a model corresponding to the terminal cluster;

if yes, the update request is issued to the terminal cluster.

9. A grouping device for terminal devices, which is applied to the terminal devices to be grouped into the same terminal cluster, wherein models stored by the terminal devices are the same, and the grouping device comprises:

the first grouping unit is used for accessing the terminal equipment and grouping the terminal equipment in a preset network area by adopting a preset protocol, so that the grouped terminal cluster can perform equivalent processing of model data;

wherein the equivalent processing of the model data includes:

10. A model updating apparatus, characterized by comprising:

a second grouping unit, which obtains a terminal cluster by adopting a grouping method of terminal equipment according to one of claims 1-5 and ;

and the updating unit is used for mutually transmitting a model updating signal according to the updating request to enable the models in all the terminal devices in the terminal cluster to be updated synchronously.

11. An electronic device, comprising:

at least one processor; and

a memory in communication with the at least one processor; wherein,,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of one of claims 1-5 or 6-8, .

12. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of one of claims 1-5 or 6-8, .