CN115633302A - Equipment deployment method and device, storage medium and electronic equipment - Google Patents

Equipment deployment method and device, storage medium and electronic equipment Download PDF

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Publication number
CN115633302A
CN115633302A CN202211192587.1A CN202211192587A CN115633302A CN 115633302 A CN115633302 A CN 115633302A CN 202211192587 A CN202211192587 A CN 202211192587A CN 115633302 A CN115633302 A CN 115633302A
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China
Prior art keywords
network
detected
target area
equipment
sweeping robot
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Pending
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CN202211192587.1A
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Chinese (zh)
Inventor
黄荣伟
许榴
张巧玲
潘晓飞
张亚磊
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Gree Electric Appliances Inc of Zhuhai
Zhuhai Lianyun Technology Co Ltd
Original Assignee
Gree Electric Appliances Inc of Zhuhai
Zhuhai Lianyun Technology Co Ltd
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Application filed by Gree Electric Appliances Inc of Zhuhai, Zhuhai Lianyun Technology Co Ltd filed Critical Gree Electric Appliances Inc of Zhuhai
Priority to CN202211192587.1A priority Critical patent/CN115633302A/en
Publication of CN115633302A publication Critical patent/CN115633302A/en
Priority to PCT/CN2023/099732 priority patent/WO2024066479A1/en
Pending legal-status Critical Current

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/2803—Home automation networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18—Network planning tools
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Automation & Control Theory (AREA)
  • Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
  • Manipulator (AREA)

Abstract

The embodiment of the application provides an equipment deployment method, an equipment deployment device, a storage medium and electronic equipment, relates to the technical field of smart homes, is used for a sweeping robot, and comprises the following steps: the method comprises the steps of obtaining a network to be detected connected with a sweeping robot, obtaining network signal conditions of the network to be detected at all positions of a target area when the sweeping robot scans the target area, recommending equipment to be deployed at the target position according to the network signal conditions, obtaining the network signal conditions of the network to be detected at all positions of the target area, detecting the network signal conditions of all positions, recommending the placement position of home equipment for a user according to the network signal conditions, and improving the network environment of intelligent home equipment.

Description

Equipment deployment method and device, storage medium and electronic equipment
Technical Field
The application relates to the technical field of smart home, in particular to a device deployment method and device, a storage medium and an electronic device.
Background
Along with the development of the internet of things, intelligent household equipment in families is more and more, many of the intelligent household equipment need be connected to a router to be normally used, but the range of a router transmitting signal is limited, stable connection of all positions in the family environment cannot be guaranteed, and the problem of unstable network connection of the intelligent household equipment exists.
Disclosure of Invention
In view of the foregoing problems, the present application provides an apparatus deployment method, an apparatus, a storage medium, and an electronic apparatus, so as to obtain a network condition of each location of a target area according to a sweeping robot, and recommend a deployment location of an apparatus, so as to improve a network environment of the apparatus.
In a first aspect, an embodiment of the present application provides an equipment deployment method, which is applied to a sweeping robot, and the equipment deployment method includes: acquiring a to-be-detected network connected with the sweeping robot; when the sweeping robot scans a target area, acquiring network signal conditions of the to-be-detected network at each position of the target area; and recommending equipment to be deployed at the target position according to the network signal condition.
In an 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 the router generating the network to be detected.
In an embodiment, the device deployment method further includes: judging whether the position has a carrier for setting the equipment; upon determining that the location has a carrier on which the device is disposed, marking the location.
In one embodiment, the locations are marked with different colors based on different network signal conditions.
In one embodiment, the network signal condition comprises: signal strength, network speed, and network delay.
In an embodiment, the device deployment method further includes: initializing the sweeping robot, and scanning the target area to generate a target area map; and displaying the condition of the position mark on the target area map.
In an embodiment, the step of detecting that the network to be detected does not satisfy the preset condition includes: determining the number of positions of a target area meeting the network signal condition; and when the number of the positions 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 application provides an equipment deployment device, which is applied to a sweeping robot, where the equipment deployment device includes: the first acquisition module is used for determining the to-be-detected network connected with the sweeping robot. And the second acquisition module is used for acquiring the network signal condition of the network to be detected at each position of the target area when the sweeping robot scans the target area. And the deployment module is used for recommending the equipment to be deployed at the target position according to the network signal condition.
In a third aspect, an embodiment of the present application provides an electronic device, including: at least one processor and memory; the processor is configured to execute the computer program stored in the memory to implement the device deployment method as described in any of the embodiments of the first aspect.
In a fourth aspect, an embodiment of the present application provides a computer storage medium, where one or more programs are stored, and the one or more programs may be executed by the electronic device described in the third aspect, so as to implement the device deployment method described in any implementation manner of the first aspect.
The equipment deployment method, the equipment deployment device, the storage medium and the electronic equipment are applied to a sweeping robot, the state of network signals of all positions is detected by acquiring a to-be-detected network connected with the sweeping robot and acquiring the network signal conditions of the to-be-detected network at all positions of a target area when the sweeping robot moves to scan the target area, the placement position of home equipment is recommended for a user through the network signal conditions, and the network environment of intelligent home equipment is improved.
It should be understood that the statements in this section are not intended to identify key or critical features of the embodiments of the present application, nor are they intended to limit the scope of the present application, other features of the present application will become apparent from the following description.
Drawings
The present application will be described in more detail below on the basis of embodiments and with reference to the accompanying drawings.
Fig. 1 illustrates a flowchart of a device deployment method proposed in an embodiment of the present application;
fig. 2 is a flowchart illustrating another device deployment method proposed in an embodiment of the present application;
fig. 3 is a flowchart illustrating an application of a device deployment method according to an embodiment of the present application;
fig. 4 shows a block diagram of a device deployment apparatus proposed in an embodiment of the present application;
fig. 5 shows a block diagram of an electronic device proposed in an embodiment of the present application for executing a device deployment method according to an embodiment of the present application;
fig. 6 illustrates a computer-readable storage medium proposed in an embodiment of the present application for storing or carrying a device deployment method that implements the device deployment method according to the embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and the accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not used as limiting the present invention.
In the related art, more and more intelligent household devices are needed, and many intelligent household devices can be normally used only by being connected to a router through WIFI (wireless fidelity) and the like, but because the range of a signal transmitted by the router is limited, stable connection can not be met at all positions, and therefore, how to improve the network environment of the intelligent household devices needs to be solved.
In view of the above problems and the problems in the prior art, the applicant provides an equipment deployment method, an apparatus, a storage medium and an electronic device in the embodiments of the present application, and by combining the characteristics that a sweeping robot can move in a house and can be connected to a network, when the sweeping robot scans a target area, the network signal condition of the network to be detected at each position of the target area is obtained, a position suitable for placing an intelligent home is recommended for a user, the network environment of the intelligent home equipment is improved, the network connection stability of the intelligent home equipment is improved, and the user experience is improved. The device deployment method is explained in detail in the following embodiments.
The device deployment method according to the embodiment of the present application may be applied to the device deployment apparatus 300 shown in fig. 4 and the electronic device 200 shown in fig. 5. The electronic device 200 may be one or more, which is not specifically limited in this embodiment of the application, where the electronic device may be an intelligent device such as a mobile phone and a computer.
With reference to fig. 2, the equipment deployment method of the present application is applied to a sweeping robot, where the sweeping robot may upload acquired information to a server, and the server processes the acquired data to obtain setting recommendation information of a home equipment location.
Referring to fig. 1, fig. 1 is a schematic flow chart of an equipment deployment method applied to a sweeping robot according to an embodiment of the present application, where the method may include steps S110 to S130.
Step S110: and acquiring a network to be detected connected with the sweeping robot.
In this application embodiment, the network of waiting to detect can include indoor positioning network such as wiFi, bluetooth, and the user can confirm the network of connection through manual selection, and on one hand, the robot of sweeping the floor can connect and wait to detect the network to upload the network information that will acquire to the server, and on other aspects, the robot of sweeping the floor can also have discernment object, for example, carriers such as table chair, bed, and on other aspects, the robot of sweeping the floor can also mark article or the region of discernment.
Step S120: when the sweeping robot scans a target area, network signal conditions of the network to be detected at each position of the target area are obtained.
In the embodiment of the application, the target area may be one or more rooms in the whole home environment, where signals of the to-be-detected networks in different rooms are different, and when the sweeping robot scans the corresponding room, the network signal conditions of the environment at each position in the room may be obtained.
Illustratively, the network signal condition of the target area can be directly acquired through a signal strength detection interface carried by the sweeping robot.
Step S130: and recommending the equipment to be deployed at the target position according to the network signal condition.
In the embodiment of the application, after the network signal condition of each position in the corresponding room is identified, the user can be prompted to set the corresponding home equipment at the corresponding position, on one hand, home equipment required by the corresponding signal can be placed in different rooms, and on the other hand, in the same room, the requirement degrees of different home equipment on the network are different, for example, a wireless sound box, a television and the like have difference on the network demand, and the set positions can be adjusted according to the network intensity sequence.
In the embodiment of the application, the floor sweeping robot can move in a house and can be connected with a network, so that the length of network signals of all positions in a room can be detected, the placement position of the smart home is recommended for a user, and the network environment of smart home equipment is improved.
Considering that when the position of a general network, i.e., a WiFi router, is not set well, the signals of each room are likely to have differences, how to further improve the network environment is a technical problem to be solved.
Referring to fig. 2, fig. 2 is a schematic flow chart of another device deployment method according to an embodiment of the present application, where the method may include steps S140 to S150.
Step S140: and determining whether the network to be detected meets the preset conditions or not based on all network signal conditions.
In the embodiment of the application, the network signal conditions of all positions of the target area are obtained through the sweeping robot, and whether the overall network condition meets the preset condition or not is judged according to the network signal conditions of all the positions, namely whether the overall network has the problems of large deviation or instability and the like.
Step S150: and when the network to be detected does not meet the preset condition, adjusting the position of the router generating the network to be detected.
In the embodiment of the application, under the condition that the overall network is not good according to the network conditions of all the positions, the position of the router can be recommended to be modified for the user.
It should be noted that when the sweeping robot obtains that the network difference in multiple rooms is large, a prompt may be generated to prompt the user to modify the position of the router.
Regarding to the household equipment, in order to improve the user experience, the placing guidance is conveniently provided for the user.
In some embodiments, the device deployment method may further include step S122 to step S124.
Step S122: it is determined whether the location has a carrier on which the device is to be placed.
In the embodiment of the application, different household devices have different sizes, and when the sweeping robot scans a target area, the position standard meeting the network signal requirement can be followed, and whether the corresponding required household device can be set on the carrier at the position or not is judged.
Step S124: when the position is determined with the carrier of the setup device, the position is marked.
In the embodiment of the application, after the position is determined to have the carrier for setting the home equipment, the position is marked, in some aspects, after the position is marked, information such as size and shape of the home equipment which can be set by the position can be simultaneously marked, in other aspects, after the position is marked, the network signal condition of the position can be marked.
In the embodiment of the application, the position is marked by utilizing the identification function and the movement route of the sweeping robot, and information which meets the network requirement and is suitable for the household equipment is recommended for a user.
Consider to facilitate the user's use and judge the network situation.
In some possible embodiments, the device deployment method further includes:
the various locations are marked with different colors based on different network signal conditions.
In the embodiment of the application, the network signal conditions of different positions are marked by using marks of different colors, illustratively, the network quality can be marked as poor network quality and good network quality respectively by red and green, and in some embodiments, the user can be prompted to place home equipment of corresponding size and shape by blocks of different colors and sizes for the placement position.
In some possible embodiments, the network signal conditions include: signal strength, network speed, and network delay.
In the embodiment of the application, each network condition can be analyzed so as to reasonably distribute the positions of the intelligent devices.
It is considered to enhance the user experience.
In some possible embodiments, the device deployment method further includes:
step S108: and initializing the sweeping robot, and scanning the target area to generate a target area map.
Step S126: the situation of the position mark is displayed on the target area map.
In the embodiment of the application, by using the sweeping robot, each room is scanned to obtain the map information of the area, and each standard condition in the embodiment is displayed on the target area map, so that a user can determine and set the placement position more intuitively, wherein the user can obtain the map, the position marking information, the color marking information and the like through intelligent equipment such as a mobile phone, a tablet, a computer and the like.
The method for detecting that the network does not meet the preset conditions comprises the following steps:
step S152: the number of locations where the target area satisfies the network signal condition is determined.
Step S154: and when the number of the positions does not meet the preset number, determining that the network to be detected does not meet the preset condition.
In the embodiment of the application, for different home environments, network settings are different, and in some home environments, the network requirements are higher, and it can be determined that the network meets expectations according to the condition that most of the placement positions meet the requirements, and when a few placement positions do not meet the requirements, it is determined that preset conditions are not met, exemplarily, when network signals of 80% of the placement positions meet the requirements, it is determined that the preset conditions are met, and the preset conditions can be adjusted according to user requirements.
With reference to fig. 3, an exemplary embodiment of an application flowchart of the device deployment method of the present application is as follows: take the application to a sweeping robot as an example:
the device deployment method may comprise the steps of:
s1: and initializing the sweeping robot, scanning the whole room and acquiring a room map.
The floor sweeping robot is initialized, the floor sweeping robot starts to scan the whole room and draw a room map, a user can configure network signals needing to be detected according to requirements, the floor sweeping robot is connected with the network and starts to detect and mark the network signal intensity of each position of the room, and information such as network speed, delay and the like of each position is tested.
S2: and configuring a network to be detected, and starting to detect network information one by the sweeping robot, marking and reporting to the server.
In the scanning process, the sweeping robot can place the intelligent household equipment at a position such as a desk, a position close to a wall, under a bed and the like, and marks the intelligent household equipment if the intelligent household equipment meets the signal service requirement.
S3: and the server judges whether the recommended placement position is the recommended placement position or not according to the information such as the position, the signal intensity and the like, generates an identifier on the map and sends the identifier to the user.
The sweeper records and uploads the recorded information to the server, the server performs combined analysis on the room map and the network signal information to generate a network signal distribution diagram, and the position suitable for placing equipment is displayed and marked.
Wherein, the marking mode can be: by combining the generated network signal diagram and the position (such as a desk, a wall and the like) of a placeable object, when the position supports the placement of the smart home device and the position with good signal is automatically marked for the user, the placement position is set as a recommended placement position.
S4: and judging the overall network condition, if the overall network condition is poor, recommending a user to modify the position of the router, repeating and executing the procedures to determine the overall network condition again, finally analyzing the overall network condition by detecting the network condition of each position, if the overall network condition does not reach the set expectation, judging that the problem is the position of the router, recommending the user to modify the position of the router, and executing the operations again.
In this embodiment, by the characteristic that the sweeping robot can move in a house and can be connected with a network, network signals of all positions in a room are detected, the placement position of the smart home is recommended for a user, the corresponding recommended position is marked, whether a proper carrier exists or not is marked, the overall network condition is determined by the network condition of all the positions, the placement position of a router is recommended for the user, the network environment of smart home equipment is improved, and the use scene of the sweeping robot is expanded.
Referring to fig. 4, fig. 4 is a block diagram of an apparatus deployment device provided in the present application, which is applied to a sweeping robot, and the apparatus deployment device 300 includes: a first acquisition module 310, a second acquisition module 320, and a deployment module 330, wherein:
the first obtaining module 310 is configured to obtain a to-be-detected network connected to the sweeping robot.
The second obtaining module 320 is configured to obtain network signal conditions of the network to be detected at each position of the target area when the sweeping robot scans the target area.
The deployment module 330 is configured to recommend that the device be deployed at the target location according to the network signal condition.
Preferably, the device deployment apparatus 300 further comprises: network judge module and position modification module, wherein:
and the network judgment module is used for determining whether the network to be detected meets the preset conditions based on all the network signal conditions.
And the position modification module is used for adjusting the position of the router generating the network to be detected when the network to be detected does not meet the preset condition.
Preferably, the device deployment apparatus 300 further comprises: carrier judge module and mark module, wherein:
and the carrier judging module is used for judging whether the carrier for setting the equipment is arranged at the position.
And the marking module is used for marking the position when the carrier with the setting equipment is determined to be positioned.
Preferably, the device deployment apparatus 300 further comprises: a network signal tagging module, wherein:
and the network signal marking module is used for marking each position by adopting different colors based on different network signal conditions.
Preferably, the device deployment apparatus 300 further comprises: the map generation module and the annotation display module.
And the map generation module is used for initializing the sweeping robot and scanning the target area to generate a target area map.
And the label display module is used for displaying the condition of the position mark on the target area map.
Preferably, the network determining module further comprises: a signal location number confirmation module and a determination module, wherein:
and the signal position number confirming module is used for confirming the number of the positions of the target area meeting the network signal condition.
And the determining module is used for determining that the network to be detected does not meet the preset condition when the number of the positions does not meet the preset number.
It should be noted that the present application also includes other modules for executing the method, which correspond to the method part and are not described herein again, and the device embodiment in the present application corresponds to the method embodiment, and specific principles in the device embodiment may refer to the contents in the method embodiment and are not described herein again.
In several embodiments provided in this embodiment, the coupling between the modules may be electrical, mechanical or other type of coupling.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
Referring to fig. 5, fig. 5 is a block diagram of an electronic device 200 capable of executing the device deployment method according to an embodiment of the present disclosure, where the electronic device 200 may be a smart phone, a tablet computer, a computer, or a portable computer.
The electronic device 200 also includes a processor 202 and a memory 204. The memory 204 stores programs that can execute the content of the foregoing embodiments, and the processor 202 can execute the programs stored in the memory 204.
Processor 202 may include, among other things, one or more cores for processing data and a message matrix unit. The processor 202 interfaces with various components throughout the electronic device 200 using various interfaces and circuitry to perform various functions of the electronic device 200 and process data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 204 and invoking data stored in the memory 204. Alternatively, the processor 202 may be implemented in hardware using at least one of Digital Signal Processing (DSP), field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 202 may integrate one or a combination of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modulation decoder, and the like. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing display content; the modem is used to handle wireless communications. It is to be understood that the modulation decoder described above may not be integrated into the processor, but may be implemented by a communication chip.
The Memory 204 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). The memory 204 may be used to store instructions, programs, code sets, or instruction sets. 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 various method embodiments described below, and the like. The stored data area may also store data (e.g., random numbers) created by the terminal in use, and the like.
The electronic device 200 may further include a network module for receiving and transmitting electromagnetic waves, and implementing interconversion between the electromagnetic waves and the electrical signals, so as to communicate with a communication network or other devices, for example, an audio playing device. The network module may include various existing circuit elements for performing these functions, such as an antenna, a radio frequency transceiver, a digital signal processor, an encryption/decryption chip, a Subscriber Identity Module (SIM) card, memory, and so forth. The network module may communicate with various networks such as the internet, an intranet, a wireless network, or with other devices via a wireless network. The wireless network may comprise a cellular telephone network, a wireless local area network, or a metropolitan area network. The screen can be used for displaying interface content and carrying out data interaction.
Referring to fig. 6, fig. 6 is a block diagram illustrating a structure of a computer-readable storage medium according to an embodiment of the present disclosure. The computer-readable storage medium 400 has stored therein a program code 410, and the program code 410 can be called by a processor to execute the method described in the above method embodiments.
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. Alternatively, the computer-readable storage medium includes a non-volatile computer-readable storage medium. The computer readable storage medium 400 has storage space for program code 410 for performing any of the method steps of the method described above. The program code 410 can be read from or written to one or more computer program products. Program code 410 may be compressed, for example, in a suitable form.
Embodiments of the present application also provide a computer program product or computer program comprising computer instructions 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, causing the computer device to perform the device deployment method described in the various alternative implementations described above.
The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not necessarily depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims (10)

1. An equipment deployment method is applied to a sweeping robot, and comprises the following steps:
acquiring a to-be-detected network connected with the sweeping robot;
when the sweeping robot scans a target area, acquiring network signal conditions of the network to be detected at each position of the target area;
and recommending equipment to be deployed at the target position according to the network signal condition.
2. The method of claim 1, wherein the device deployment method further comprises:
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 the router generating the network to be detected.
3. The method of claim 1, wherein the device deployment method further comprises:
judging whether the position has a carrier for setting the equipment;
upon determining that the location has a carrier on which the device is disposed, marking the location.
4. The method of claim 3, wherein the device deployment method further comprises:
and marking the positions with different colors based on different network signal conditions.
5. The method of claim 1, wherein the network signal condition comprises: signal strength, network speed, and network delay.
6. The method of claim 4, wherein the device deployment method further comprises:
initializing the sweeping robot, and scanning the target area to generate a target area map;
and displaying the condition of the position mark on the target area map.
7. The method according to claim 2, wherein the network to be detected does not satisfy a preset condition, comprising:
determining the number of positions of a target area satisfying a network signal condition;
and when the number of the positions does not meet the preset number, determining that the network to be detected does not meet the preset condition.
8. An equipment deployment device, characterized in that, is applied to the robot of sweeping the floor, the device includes:
the first acquisition module is used for acquiring a to-be-detected network connected with the sweeping robot;
the second acquisition module is used for acquiring network signal conditions of the network to be detected at each position of the target area when the sweeping robot scans the target area;
and the deployment module is used for recommending the equipment to be deployed at the target position according to the network signal condition.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium stores program code that is invoked by one or more processors to perform the device deployment method of any of claims 1-7.
10. An electronic device, comprising a memory, a processor, and program code stored on the memory and operable on the processor, wherein the program code, when executed by the processor, implements the device deployment method of any one of claims 1 to 7.
CN202211192587.1A 2022-09-28 2022-09-28 Equipment deployment method and device, storage medium and electronic equipment Pending CN115633302A (en)

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PCT/CN2023/099732 WO2024066479A1 (en) 2022-09-28 2023-06-12 Device deployment method and apparatus, storage medium, and electronic device

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