WO2024066479A1

WO2024066479A1 - Device deployment method and apparatus, storage medium, and electronic device

Info

Publication number: WO2024066479A1
Application number: PCT/CN2023/099732
Authority: WO
Inventors: 黄荣伟; 许榴; 张巧玲; 潘晓飞; 张亚磊
Original assignee: 珠海格力电器股份有限公司; 珠海联云科技有限公司
Priority date: 2022-09-28
Filing date: 2023-06-12
Publication date: 2024-04-04
Also published as: CN115633302A

Abstract

A device deployment method and apparatus, a storage medium, and an electronic device, relating to the technical field of smart home. The method is used for a self-propelled robot, and comprises: acquiring a network to be detected which is connected to a self-propelled robot; when the self-propelled robot scans a target area, acquiring the network signal condition of said network at each position of the target area; and according to the network signal condition, recommending a device to be deployed at a target position. The network signal condition of said network at each position of the target area is acquired so as to detect the state of a network signal at each position, and the placement position of a home device is recommended to a user according to the network signal condition, so that a network environment of the smart home device is improved.

Description

Device deployment method, device, storage medium and electronic device

cross reference

This disclosure refers to Chinese Patent Application No. 202211192587.1 filed on September 28, 2022, entitled “Device Deployment Method, Device, Storage Medium and Electronic Device,” which is incorporated herein by reference in its entirety.

Technical Field

The present disclosure relates to the field of smart home technology, and in particular to a device deployment method, apparatus, storage medium and electronic device.

Background technique

With the development of the Internet of Things, there are more and more smart home devices in homes, many of which need to be connected to routers to be used normally. However, due to the limited range of the router's signal transmission, it is impossible to guarantee a stable connection at all locations in the home environment, resulting in unstable network connections for smart home devices.

Summary of the invention

In view of the above problems, the present disclosure provides a device deployment method, apparatus, storage medium and electronic device to obtain the network status of each location in the target area according to a self-propelled robot, and recommend the deployment location of the device to improve the network environment of the device.

In a first aspect, an embodiment of the present disclosure provides a device deployment method, which is applied to a self-propelled robot. The device deployment method includes: obtaining a network to be detected to which the self-propelled robot is connected; when the self-propelled robot scans a target area, obtaining network signal conditions of the network to be detected at various locations in the target area; and recommending device deployment at the target location based on the network signal conditions.

In one embodiment, the device deployment method further includes: determining whether the network to be detected meets a preset condition based on all the network signal conditions; and when the network to be detected does not meet the preset condition, adjusting the position of a router generating the network to be detected.

In one embodiment, the device deployment method further includes: determining whether the location has a carrier for setting the device; and marking the location when it is determined that the location has a carrier for setting the device.

In one embodiment, each location is marked with a different color based on different network signal conditions.

In one embodiment, the network signal condition includes: signal strength, network speed and network delay.

In one embodiment, the device deployment method further includes: initializing the self-propelled robot, scanning the target area to generate a target area map; and displaying the position mark status on the target area map.

In one embodiment, the network to be detected does not meet the preset condition, including: determining the number of locations in the target area that meet the network signal condition; when the number of the locations does not meet the preset number, determining that the network to be detected does not meet the preset condition.

In a second aspect, an embodiment of the present disclosure provides a device deployment apparatus, which is applied to a self-propelled robot, and the device deployment apparatus includes: a first acquisition module, configured to determine the network to be detected to which the self-propelled robot is connected. A second acquisition module, configured to obtain the network signal status of the network to be detected at each location of the target area when the self-propelled robot scans the target area. A deployment module, configured to recommend the deployment of equipment at the target location according to the network signal status.

In a third aspect, an embodiment of the present disclosure provides an electronic device, comprising: at least one processor and a memory; the processor is configured to execute a computer program stored in the memory to implement a device deployment method as described in any implementation of the first aspect.

In a fourth aspect, an embodiment of the present disclosure provides a computer storage medium storing one or more programs, which can be executed by the electronic device as described in the third aspect to implement the device deployment method as described in any implementation method of the first aspect.

A device deployment method, apparatus, storage medium and electronic device provided in the embodiments of the present disclosure are applied to a self-propelled robot. The method acquires a network to be detected to which the self-propelled robot is connected, and when the self-propelled robot is moving and scanning a target area, acquires the network signal status of the network to be detected at each location in the target area, thereby detecting the status of the network signal at each location, and recommends placement locations of home appliances to users based on the network signal status, thereby improving the network environment of smart home appliances.

It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present disclosure, nor is it intended to limit the scope of the present disclosure. Other features of the present disclosure will become readily understood through the following description.

BRIEF DESCRIPTION OF THE DRAWINGS

Hereinafter, the present disclosure will be described in more detail based on embodiments and with reference to the accompanying drawings.

FIG1 is a schematic diagram showing a flow chart of a device deployment method proposed in an embodiment of the present disclosure;

FIG2 is a schematic diagram showing a flow chart of another device deployment method proposed in an embodiment of the present disclosure;

FIG3 shows an application flow chart of a device deployment method proposed in an embodiment of the present disclosure;

FIG4 shows a structural block diagram of a device deployment apparatus proposed in an embodiment of the present disclosure;

FIG5 shows a structural block diagram of an electronic device for executing a device deployment method according to an embodiment of the present disclosure;

FIG6 shows a computer-readable storage medium proposed in an embodiment of the present disclosure for storing or carrying a device deployment method according to an embodiment of the present disclosure.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present disclosure more clearly understood, the present disclosure is further described in detail below in conjunction with embodiments and drawings. The illustrative implementation modes of the present disclosure and their descriptions are only used to explain the present disclosure and are not intended to limit the present disclosure.

In the related technology, there are more and more smart home devices, and many of them need to be connected to a router via WIFI to use the smart home device normally. However, due to the limited signal transmission range of the router, it is impossible to guarantee a stable connection in all locations. Therefore, how to improve the network environment of smart home devices needs to be solved.

In view of the above problems and in consideration of the problems in the prior art, the applicant has proposed a device deployment method, apparatus, storage medium and electronic device of the disclosed embodiment. By combining the characteristics of the self-propelled robot that can move in the house and connect to the network, when the self-propelled robot scans the target area, the network signal status of the network to be detected at each location in the target area is obtained, and a suitable location for the smart home is recommended to the user, thereby improving the network environment of the smart home device, improving the stability of the network connection of the smart home device, and enhancing the user experience. The device deployment method is described in detail in the subsequent embodiments.

The device deployment method involved in the embodiment of the present disclosure may be applied to the device deployment apparatus 300 shown in FIG4 and the electronic device 200 shown in FIG5. The electronic device 200 may be one or more, and the embodiment of the present disclosure does not specifically limit this, wherein the electronic device may be a smart device such as a mobile phone or a computer.

In conjunction with FIG. 2, the device deployment method disclosed in the present invention is applied to a self-propelled robot, wherein the self-propelled robot can upload the acquired information to a server, and the server processes the acquired data to obtain setting recommendation information of the home device location. The self-propelled robot can be a sweeping robot. In this case, the device deployment method disclosed in the present invention is applied to the sweeping robot, but is not limited to the above application. For example, the device deployment method disclosed in the present invention can also be applied to In products such as movable trash cans, the specific descriptions of various embodiments of the present disclosure are as follows.

Please refer to FIG. 1 , which is a flow chart of a device deployment method provided in an embodiment of the present disclosure, which is applied to a self-propelled robot. The method may include steps S110 to S130 .

Step S110: Acquire the network to be detected to which the self-propelled robot is connected.

In the disclosed embodiments, the network to be detected may include indoor positioning networks such as WiFi and Bluetooth, and the user may determine the network to be connected by manual selection. On the one hand, the self-propelled robot may connect to the network to be detected and upload the acquired network information to the server. On other aspects, the self-propelled robot may also be able to identify objects, such as tables, chairs, beds and other carriers. On other aspects, the self-propelled robot may also mark the identified objects or areas.

Step S120: When the self-propelled robot scans the target area, the network signal status of the network to be detected at each location in the target area is obtained.

In the disclosed embodiment, the target area may be one or more rooms in the entire home environment, wherein the signals of the networks to be detected in different rooms are different. When the self-propelled robot scans the corresponding room, the network signal conditions in each location environment of the room can be obtained.

Exemplarily, the network signal status of the target area can be directly acquired through a signal strength detection interface carried by the self-propelled robot.

Step S130: recommending equipment to be deployed at a target location based on network signal conditions.

In the embodiments of the present disclosure, after identifying the network signal conditions at various locations in the corresponding room, the user can be prompted to set the corresponding home appliances at the corresponding locations. On the one hand, different rooms can be used to place home appliances required for the corresponding signals. On the other hand, in the same room, different home appliances may have different requirements for the network. For example, wireless speakers, televisions, etc. have different network requirements, and their setting locations can be adjusted according to the order of network strength.

In the disclosed embodiment, by utilizing the characteristics of the self-propelled robot that can move in the house and connect to the network, it is possible to detect the length of the network signal at various locations in the room, recommend smart home placement locations to users, and improve the network environment of smart home devices.

Considering that when the overall network, i.e. the WiFi router, is not positioned well, it is easy to cause signal differences in each room. How to further improve the network environment is a technical problem that needs to be solved.

Please refer to FIG. 2 , which is a schematic flow chart of another device deployment method provided in an embodiment of the present disclosure. The method may include steps S140 to S150 .

Step S140: Determine whether the network to be detected meets a preset condition based on all network signal conditions.

In the disclosed embodiment, the network signal conditions at each location in the target area are obtained by the above self-propelled robot, and the network signal conditions at each location are used to determine whether the overall network condition meets the preset conditions, that is, whether the overall network has problems such as large deviation or instability.

Step S150: When the network to be detected does not meet the preset condition, the position of the router generating the network to be detected is adjusted.

In the embodiment of the present disclosure, when it is determined that the overall network is not good based on the network conditions at each location, it can be recommended to the user to modify the location of the router.

It should be noted that when the self-propelled robot obtains large differences in the networks in multiple rooms, it can generate a prompt to prompt the user to modify the location of the router.

Taking into account the home appliances, in order to improve the user experience, it is convenient to provide users with placement guidance.

In some embodiments, the device deployment method may further include steps S122 to S124.

Step S122: Determine whether the location has a carrier for setting up the device.

In the disclosed embodiment, different household appliances have different sizes. When the self-propelled robot scans the target area, it can determine the location standard that meets the network signal requirements and whether the carrier at the location can be set with the corresponding required household appliances.

Step S124: When it is determined that the location has a carrier for setting the device, the location is marked.

In the embodiments of the present disclosure, after determining that the location has a carrier for setting up household appliances, the location is marked. In some aspects, after marking the location, the size, shape and other information of the household appliances that can be set up at the location can also be marked. In other aspects, after marking the location, the network signal status of the location can also be marked.

In the disclosed embodiment, the location is marked by utilizing the recognition function and movement route of the self-propelled robot, and information on home appliances that meet network requirements is recommended to the user.

This is done to facilitate user use and judgment of network conditions.

In some possible implementations, the device deployment method further includes:

Different locations are marked with different colors based on different network signal conditions.

In the embodiments of the present disclosure, different colors are used to mark the network signal conditions at different locations. For example, red and green can be used to mark the network quality as poor and good, respectively. In some implementations, different colored and sized blocks can also be used to prompt the user to place the corresponding size and Shape of home equipment.

In some possible implementations, the network signal condition includes: signal strength, network speed, and network delay.

In the embodiment of the present disclosure, various network conditions may be analyzed to reasonably allocate the locations of smart devices.

Considering to improve user experience.

Step S108: Initialize the self-propelled robot and scan the target area to generate a target area map.

Step S126: Display the position mark status on the target area map.

In the disclosed embodiment, a self-propelled robot is utilized to scan each room and obtain area map information, and various standard conditions in the above embodiment are displayed on a target area map, so that users can more intuitively determine the placement position. Users can obtain maps, location marking information, color marking information, etc. through smart devices such as mobile phones, tablets, and computers.

The network to be detected does not meet the preset conditions, including:

Step S152: Determine the number of locations in the target area that meet the network signal conditions.

Step S154: When the number of locations does not meet the preset number, it is determined that the network to be detected does not meet the preset condition.

In the embodiments of the present disclosure, there are differences in the network settings for different home environments. In some home environments, the network requirements are relatively high. When most placement positions meet the requirements, it can be determined that the network meets expectations. When a few placement positions do not meet the requirements, it is determined that the preset conditions are not met. For example, when the network signals at 80% of the positions where the devices are placed meet the requirements, it is determined that the preset conditions are met. The preset conditions can be adjusted according to user needs.

In conjunction with the above-mentioned FIG. 3 , an exemplary implementation of the application flow chart of the device deployment method disclosed in the present invention is as follows: Taking the application to a self-propelled robot as an example:

The device deployment method may include the following steps:

S1: Initialize the self-propelled robot, scan the entire room, and obtain the room map.

Initialize the self-propelled robot, and start scanning the entire room and drawing a room map. Users can configure the network signal to be detected as required. The self-propelled robot connects to the network and starts to detect the network signal strength at each location in the room and mark it, and test the network speed, delay and other information at each location.

S2: Configure the network to be detected. The self-propelled robot starts to detect network information one by one and mark it. Report to the server.

During the scanning process, the self-propelled robot can place the locations of smart home devices such as tables, against walls, under beds, etc., and mark them if the signal service requires it.

S3: The server determines whether it is a recommended placement location based on information such as the location and signal strength, generates an identifier on the map, and sends it to the user.

The self-propelled robot will record the information and upload it to the server. The server will combine and analyze the room map and network signal information, generate a network signal distribution map, and display and mark the locations suitable for placing equipment.

Among them, the marking method can be: combining the generated network signal map and identifying the locations where objects can be placed (such as tables, walls, etc.). When the location supports the placement of smart home devices and has a good signal, it will be automatically marked for the user and set as the recommended placement location.

S4: Determine the overall network status. If it is poor, it is recommended that the user modify the router location and re-execute the above process to determine the overall network status again. Finally, the overall network status is analyzed by detecting the network status of each location. If it does not meet the set expectations, it can be determined that there is a problem with the router location. It is recommended that the user modify the router location and re-execute the above operations.

In this embodiment, the self-propelled robot can move in the house and connect to the network, so it can detect network signals at various locations in the room, recommend smart home placement locations for users, and mark the corresponding recommended locations and whether there are suitable carriers. The overall network status is determined based on the network conditions at each location, and the placement of routers is recommended to users, thereby improving the network environment of smart home devices and expanding the use scenarios of self-propelled robots.

Please refer to FIG. 4 , which is a structural block diagram of a device deployment apparatus provided by the present disclosure, which is applied to a self-propelled robot. The device deployment apparatus 300 includes: a first acquisition module 310, a second acquisition module 320 and a deployment module 330, wherein:

The first acquisition module 310 is configured to acquire the network to be detected to which the self-propelled robot is connected.

The second acquisition module 320 is configured to acquire the network signal status of the to-be-detected network at each position in the target area when the self-propelled robot scans the target area.

The deployment module 330 is configured to recommend the deployment of equipment at a target location based on network signal conditions.

Preferably, the device deployment apparatus 300 further includes: a network determination module and a location modification module, wherein:

The network judgment module is configured to determine whether the network to be detected meets the preset conditions based on all network signal conditions.

The location modification module is configured to adjust the location of the router that generates the network to be detected when the network to be detected does not meet the preset conditions.

Preferably, the device deployment apparatus 300 further includes: a carrier determination module and a marking module, wherein:

The carrier determination module is configured to determine whether the location has a carrier for setting the device.

The marking module is configured to mark the location when it is determined that the location has a carrier of the setting device.

Preferably, the device deployment apparatus 300 further includes: a network signal marking module, wherein:

The network signal marking module is configured to mark each location with different colors based on different network signal conditions.

Preferably, the equipment deployment apparatus 300 also includes: a map generation module and a label display module.

The map generation module is configured to initialize the self-propelled robot and scan the target area to generate a map of the target area.

The marking display module is configured to display the position mark status on the target area map.

Preferably, the network determination module further includes: a signal position number confirmation module and a determination module, wherein:

The signal position number confirmation module is configured to determine the number of positions in the target area that meet the network signal conditions.

The determination module determines that the network to be detected does not meet a preset condition when the number of positions does not meet a preset number.

It should be noted that the present disclosure also includes other modules for executing the above-mentioned method, which correspond to the method part and will not be repeated here. The device embodiment in the present disclosure corresponds to the aforementioned method embodiment. The specific principles in the device embodiment can be found in the contents of the aforementioned method embodiment and will not be repeated here.

In several embodiments provided in this embodiment, the coupling between modules may be electrical, mechanical or other forms of coupling.

In addition, each functional module in each embodiment of the present disclosure may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above integrated modules may be implemented in the form of hardware or in the form of software functional modules.

Please refer to FIG. 5 , which is a structural block diagram of an electronic device 200 that can execute the above-mentioned device deployment method provided by an embodiment of the present disclosure. The electronic device 200 can be a smart phone, a tablet computer, a computer, a portable computer or other devices.

The electronic device 200 further includes a processor 202 and a memory 204. The memory 204 stores a program that can execute the contents of the aforementioned embodiments, and the processor 202 can execute the program stored in the memory 204.

The processor 202 may include one or more cores for processing data and a message matrix unit. The processor 202 uses various interfaces and lines to connect various parts of the entire electronic device 200, and executes various functions and processes data of the electronic device 200 by running or executing instructions, programs, code sets or instruction sets stored in the memory 204, and calling data stored in the memory 204. Optionally, the processor 202 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 202 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modulation decoder. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing display content; and the modem is used to process wireless communications. It can be understood that the above-mentioned modulation decoder may not be integrated into the processor, but implemented separately through a communication chip.

The memory 204 may include a random access memory (RAM) or a read-only memory (ROM). The memory 204 may be used to store instructions, programs, codes, code sets or instruction sets. The memory 204 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for implementing at least one function (e.g., instructions for a user to obtain a random number), instructions for implementing the following various method embodiments, etc. The data storage area may also store data (e.g., random numbers) created by the terminal during use, etc.

The electronic device 200 may also include a network module and a screen. The network module is used to receive and send electromagnetic waves, realize the mutual conversion between electromagnetic waves and electrical signals, and thus communicate with a communication network or other devices, such as communicating with an audio playback device. The network module may include various existing circuit components for performing these functions, such as antennas, radio frequency transceivers, digital signal processors, encryption/decryption chips, user identity modules (SIM) cards, memories, etc. The network module may communicate with various networks such as the Internet, corporate intranets, wireless networks, or communicate with other devices via wireless networks. The above-mentioned wireless networks may include cellular telephone networks, wireless local area networks, or metropolitan area networks. The screen may display interface content and perform data interaction.

Please refer to Figure 6, which shows a block diagram of a computer-readable storage medium provided by an embodiment of the present disclosure. The computer-readable storage medium 400 stores program code 410, which can be called by a processor to execute the method described in the above method embodiment.

The computer-readable storage medium 400 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read-only memory), an EPROM, a hard disk, or a ROM. The computer-readable storage medium 400 includes a non-transitory computer-readable storage medium. The computer-readable storage medium 400 has storage space for program code 410 for executing any method steps in the above method. These program codes 410 can be read from or written to one or more computer program products. The program code 410 can be compressed, for example, in an appropriate form.

The embodiment of the present disclosure also provides a computer program product or a computer program, which includes computer instructions, and the computer instructions are stored in a computer-readable storage medium 400. The processor of the computer device reads the computer instructions from the computer-readable storage medium 400, and the processor 202 executes the computer instructions, so that the computer device executes the device deployment method described in the above various optional implementations.

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

Claims

A device deployment method is applied to a self-propelled robot, and the device deployment method comprises:

Acquire the network to be detected to which the self-propelled robot is connected;

When the self-propelled robot scans the target area, the network signal status of the network to be detected at each location in the target area is obtained;

Recommend equipment to be deployed at the target location based on the network signal conditions.
The method according to claim 1, wherein the device deployment method further comprises:

Determine whether the network to be detected meets a preset condition based on all the network signal conditions;

When the network to be detected does not meet a preset condition, a position of a router generating the network to be detected is adjusted.
The method according to claim 1, wherein the device deployment method further comprises:

Determine whether the location has a carrier where the device is installed;

When it is determined that the location has a carrier where the device is disposed, the location is marked.
The method according to claim 3, wherein the device deployment method further comprises:

The various locations are marked with different colors based on different network signal conditions.
The method according to claim 1, wherein the network signal condition includes: signal strength, network speed and network delay.
The method according to claim 4, wherein the device deployment method further comprises:

Initializing the self-propelled robot, scanning the target area to generate a target area map;

The status of the position mark is displayed on the target area map.
The method according to claim 2, wherein the network to be detected does not meet a preset condition, comprising:

Determine the number of locations in the target area that meet network signal conditions;

When the number of the positions does not meet a preset number, it is determined that the network to be detected does not meet a preset condition.
A device deployment apparatus, wherein the device is applied to a self-propelled robot, the device comprising:

A first acquisition module is configured to acquire a network to be detected to which the self-propelled robot is connected;

A second acquisition module is configured to acquire the network signal status of the network to be detected at each position in the target area when the self-propelled robot scans the target area;

The deployment module is configured to recommend the deployment of a device at the target location according to the network signal conditions.
A computer-readable storage medium, wherein the computer-readable storage medium stores a program code, and the program code is called by one or more processors to execute the device deployment method according to any one of claims 1 to 7 method.
An electronic device, wherein the electronic device comprises a memory and a processor, the memory stores a program code that can be run on the processor, and when the program code is executed by the processor, the device deployment method as described in any one of claims 1 to 7 is implemented.