Multifunctional intelligent cleaning and mosquito repelling robot system based on voice control and notification method

Abstract

The invention discloses a multifunctional intelligent cleaning and mosquito repelling robot based on voice control. The multifunctional intelligent cleaning and mosquito repelling robot integrates the functions of sweeping and cleaning, ultrasonic mosquito repelling and lamplight mosquito trapping. A user instruction is received by means of the voice recognition module, the control module analyzes the instruction, then precise positioning and path planning are achieved in combination with the positioning module, and the robot is driven to go to a designated area for operation. The ultrasonic mosquito repelling module can adjust the frequency and intensity as required to repel mosquitoes; the lamplight trapping device attracts mosquitoes through light rays with specific wavelengths, and the mosquitoes are caught and killed in a physical or electric shock mode. Meanwhile, the robot supports communication with external equipment, and remote control and state feedback are achieved. According to the invention, integrated intelligent control of cleaning and mosquito control is realized, voice interaction is convenient, diversified demands of families can be met, and living environment quality is effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of smart home devices, and particularly relates to a multifunctional intelligent cleaning and mosquito repelling robot based on voice control, which integrates functions of floor sweeping and cleaning, ultrasonic mosquito repelling, and light trapping of mosquitoes, and a control method therefor. Background Art

[0002] With the improvement of people's living standards, the requirements for the comfort and hygiene of the home environment are also increasing day by day. Traditional floor sweeping robots only have the function of floor cleaning. Although they can reduce people's housework burden to a certain extent, they cannot meet the family's needs for mosquito control. Existing mosquito repelling devices, such as mosquito coils, electric mosquito bats, ultrasonic mosquito repellers, etc., have single functions and mostly require manual operation, which is inconvenient to use. At the same time, traditional light trapping mosquito devices are usually fixedly placed at a certain position and cannot move and work flexibly according to the actual activity area of mosquitoes and user needs.

[0003] In the prior art, there are few devices that combine floor sweeping robots with mosquito repelling functions, and there are problems such as inconvenient control methods and low function integration. For example, although some devices have cleaning and mosquito repelling functions, they can only be operated through buttons or mobile phone APPs, which is not user-friendly for the elderly or children; there are also some devices whose mosquito repelling and mosquito trapping functions cannot be intelligently adjusted according to environmental changes and user needs, resulting in poor effects. Therefore, there is an urgent need for an intelligent device that can integrate cleaning and mosquito control and is easy to operate to meet the diverse needs of families. Summary of the Invention

[0004] Object of the Invention The object of the present invention is to provide a multifunctional intelligent cleaning and mosquito repelling robot based on voice control. By combining functions such as floor sweeping and cleaning, ultrasonic mosquito repelling, and light trapping of mosquitoes, and adopting a voice control method, the integrated intelligent control of cleaning and mosquito control is realized, the operation convenience is improved, and the living environment is effectively improved.

[0005] Technical Solution

[0006] The multifunctional intelligent cleaning and mosquito repelling robot based on voice control of the present invention includes a robot body, a voice recognition module, a control module, a floor sweeping and cleaning module, an ultrasonic mosquito repelling module, a light trapping device, a positioning module, and a communication module.

[0007] The robot body provides structural support and accommodation space for the entire device, and a traveling mechanism is provided at its bottom for moving on the ground. The traveling mechanism can adopt a common wheeled structure or a crawler structure to adapt to different ground environments.

[0008] The voice recognition module is set on the robot body and is used to receive the user's voice commands, convert the voice signals into electrical signals, and then transmit them to the control module. The voice recognition module uses existing high-precision voice recognition chips, which can recognize multiple languages and dialects, improving the convenience of user use.

[0009] The control module is the core of the entire robot. It is electrically connected to the voice recognition module, the floor cleaning module, the ultrasonic mosquito repellent module, the light trapping device, the positioning module, and the communication module. The control module receives the command signals transmitted by the voice recognition module, controls the working states of the floor cleaning module, the ultrasonic mosquito repellent module, and the light trapping device according to the commands, obtains the position information of the robot through the positioning module, and conducts data interaction with external devices through the communication module. The control module can adopt a control circuit built with a microprocessor (such as an ARM chip) as the core and cooperate with corresponding control software to achieve precise control of each module.

[0010] The floor cleaning module is set at the bottom of the robot body and includes components such as a dust suction device, a rolling brush, and a side brush. The dust suction device generates suction force to suck dust, garbage, etc. on the ground into the dust collection box inside the robot body; the rolling brush and the side brush are used to gather the dust and garbage on the ground to the suction port of the dust suction device, improving the cleaning effect. The working states of the floor cleaning module, such as the dust suction power, the rotation speeds of the rolling brush and the side brush, etc., can be adjusted by the control module according to the user's instructions and the cleaning environment.

[0011] The ultrasonic mosquito repellent module is set inside the robot body and can emit ultrasonic waves with specific frequencies to drive away mosquitoes. This module uses an ultrasonic wave generator with adjustable frequency, and the control module can adjust the frequency and intensity of the ultrasonic waves according to the repellent characteristics of different mosquitoes to achieve the best mosquito repellent effect. At the same time, the ultrasonic mosquito repellent module can be started or turned off at the specified time period and location according to the working time and area set by the user.

[0012] The light trapping device is set on the top or side of the robot body and includes a light source with a specific wavelength and a killing mechanism. The light source can emit light with a specific wavelength that attracts mosquitoes, and the killing mechanism can use physical methods (such as sticky insect traps) or electric shock methods (such as high-voltage power grids) to kill the attracted mosquitoes. Parameters such as the working time of the light trapping device, the brightness and wavelength of the light source, etc., can be adjusted by the control module according to the user's settings and the environmental light conditions.

[0013] The positioning module is used to obtain the position information of the robot and can adopt GPS positioning, Beidou positioning, or indoor positioning technologies (such as UWB positioning, Wi-Fi positioning, etc.). The positioning module transmits the position information of the robot to the control module in real time, and the control module controls the robot to go to the specified room or area to perform tasks according to the user's instructions and the positioning information.

[0014] The communication module is used to realize data interaction between the robot and external devices (such as smartphones, smart home central control systems, etc.). The communication module can adopt wireless communication technologies such as Bluetooth, Wi-Fi, ZigBee, etc. Users can remotely control the working status of the robot through the mobile phone APP or the smart home central control system, and view the working progress and relevant information of the robot.

[0015] The present invention also provides a control method based on the above-mentioned multifunctional intelligent cleaning and mosquito repellent robot, and the specific steps are as follows: 1 Voice command reception and processing: The voice recognition module continuously receives the user's voice commands, converts the voice signals into electrical signals, and transmits them to the control module. The control module analyzes the voice commands and extracts key information, such as task types (floor cleaning, mosquito repellent, light trapping mosquitoes, etc.), target rooms or areas, working hours, etc.

[0016] 2 Position location and path planning: The positioning module obtains the current position information of the robot and transmits it to the control module. The control module, based on the position information of the target room or area, combines with the indoor map (pre-generated through the map construction function of the robot), and uses path planning algorithms (such as AI algorithms, Dijkstra algorithms, etc.) to plan the optimal path to the target position.

[0017] 3 Task execution control Floor cleaning task: When the command parsed by the control module is a floor cleaning task, the control module starts the floor cleaning module, adjusts parameters such as the power of the dust suction device, the rotation speed of the rolling brush and the side brush according to the preset cleaning mode (such as standard mode, strong mode, silent mode, etc.), and controls the robot to perform cleaning work in the target area according to the planned path. During the cleaning process, the control module can, based on the information fed back by the sensors built in the robot (such as dust sensors, collision sensors, etc.), adjust the cleaning strategy in real time, such as automatically increasing the dust suction power in areas with more dust, and automatically changing the walking path when encountering obstacles.

[0018] Ultrasonic mosquito repellent task: When the command parsed by the control module is an ultrasonic mosquito repellent task, the control module starts the ultrasonic mosquito repellent module, and adjusts the ultrasonic generator to emit ultrasonic waves with specific frequencies and intensities according to the mosquito repellent parameters set by the user (such as working hours, frequencies, intensities, etc.). At the same time, the control module, based on the positioning information, controls the robot to move within the specified area to expand the mosquito repellent range.

[0019] Mosquito Trapping Task with Lights: When the instruction parsed by the control module is the mosquito trapping task with lights, the control module starts the mosquito trapping device with lights and adjusts the working state of the light source and the working mode of the killing mechanism according to the trapping parameters set by the user (such as working time, light source wavelength, brightness, etc.). The control module moves the robot to areas where mosquitoes are likely to appear (such as near windows, corners, etc.) based on the positioning information to improve the trapping effect.

[0020] 4 Task Status Feedback and Remote Control: During the task execution, the control module real-time feeds back the working state of the robot (such as current position, task progress, remaining battery power, etc.) to external devices through the communication module. Users can view the working state of the robot through the mobile APP or the smart home central control system and remotely adjust the task parameters or send new instructions as needed.

[0021] 5 Task End and Return: When the set working time by the user is reached or the specified task is completed, the control module controls the robot to stop the execution of the current task and return to the charging dock for charging according to the planned return path.

[0022] Beneficial Effects

[0023] High Function Integration: The present invention integrates functions such as floor cleaning, ultrasonic mosquito repellent, and mosquito trapping with lights, achieving the integration of cleaning and mosquito control, meeting the diverse needs of families, reducing the number of household devices, and saving space.

[0024] Convenient Operation: Adopting the voice control method, users only need to give instructions through voice, and the robot can execute corresponding tasks without manual operation, which is especially suitable for the elderly and children. At the same time, it also supports remote control through the mobile APP and the smart home central control system, facilitating users to manage the robot anytime and anywhere.

[0025] Intelligent Adjustment: The control module can intelligently adjust the working state of the floor cleaning module, ultrasonic mosquito repellent module, and mosquito trapping device with lights according to the parameters set by the user and the environmental information, improving the working efficiency and effect. For example, automatically adjusting the suction power according to the information fed back by the dust sensor, and adjusting the ultrasonic frequency and mosquito trapping parameters with lights according to the mosquito activity pattern, etc.

[0026] Wide Application Range: Through the positioning module and path planning function, the robot can freely move in different rooms and areas to execute tasks, and is applicable to various home environments and scenarios. Description of the Drawings

[0028] Figure 1 : System Architecture Diagram of a Multifunctional Intelligent Cleaning and Mosquito Repellent Robot Based on Voice Control Figure 1The system architecture of the multi-functional intelligent cleaning and mosquito repellent robot of the present invention is shown. The robot body, as the basic carrier, carries a voice recognition module, a control module, a floor cleaning module, an ultrasonic mosquito repellent module, a light trapping device, a positioning module, and a communication module. The voice recognition module transmits the received voice commands to the control module; the control module, as the core, controls the other modules; the positioning module obtains the location information and provides it to the control module; the communication module realizes data interaction with external devices.

[0029] S101. Robot body: As the basic carrier of the entire device, it provides structural support and installation space for other modules. A traveling mechanism is provided at the bottom for moving on the ground.

[0030] S102. Voice recognition module: Installed on the robot body, using a high-precision voice recognition chip, it can receive user voice commands and convert the voice signal into an electrical signal and transmit it to the control module.

[0031] S103. Control module: A control circuit built around a microprocessor (such as an ARM chip), which is the core part of the robot, is electrically connected to the voice recognition module, the floor cleaning module, the ultrasonic mosquito repellent module, the light trapping device, the positioning module, and the communication module, and is responsible for parsing commands and coordinating the work of each module.

[0032] S104. Floor cleaning module: Located at the bottom of the robot body, it consists of components such as a dust suction device, a roller brush, and a side brush, and executes the floor cleaning task under the control of the control module.

[0033] S105. Ultrasonic mosquito repellent module: Set inside the robot body, using an ultrasonic generator with adjustable frequency, it emits ultrasonic waves with a specific frequency to drive away mosquitoes under the control of the control module.

[0034] S106. Light trapping device: Installed on the top or side of the robot body, it includes a light source with a specific wavelength and a killing mechanism (such as a sticky insect trap or a high-voltage power grid) for attracting and killing mosquitoes.

[0035] S107. Positioning module: It can adopt GPS positioning, Beidou positioning, or indoor positioning technology (such as UWB positioning, Wi-Fi positioning, etc.) to obtain the position information of the robot in real time and transmit it to the control module.

[0036] S108. Communication module: Supports wireless communication technologies such as Bluetooth, Wi-Fi, ZigBee, etc., to realize data interaction between the robot and external devices (such as mobile phone APP, smart home central control system).

[0037] S109. External devices (mobile phone APP, smart home central control system): Users can remotely monitor and control the working status of the robot, issue commands, etc. through this device.

[0038] Figure 2 : Flowchart of the control method for a multifunctional intelligent cleaning and mosquito repellent robot based on voice control Figure 2 It details the control method process of the robot of the present invention. Starting from receiving voice commands, it sequentially goes through command parsing, position positioning, path planning, starts corresponding modules to execute tasks according to different task types, adjusts strategies according to feedback and feeds back task status during the execution process, and controls the robot to return to the charging dock for charging after determining that the task is completed.

[0039] S201. Start: Represents the starting point of the entire control method process.

[0040] S202. The voice recognition module receives voice commands: The voice recognition module monitors the environment in real time, receives the voice commands issued by the user, and converts them into electrical signals.

[0041] S203. The control module parses the voice commands: The control module parses the electrical signals of the received voice commands, and extracts key information such as task type, target room or area, working time, etc.

[0042] S204. The positioning module obtains the current position information of the robot: The positioning module uses built-in positioning technology to obtain the specific position information of the robot in the room in real time and transmits it to the control module.

[0043] S205. The control module performs path planning: The control module uses path planning algorithms (such as AI algorithms, Dijkstra algorithms, etc.) to plan the optimal path to the target position according to the target position information and the indoor map.

[0044] S206. Task type judgment: The control module judges whether the task type is a floor cleaning task, an ultrasonic mosquito repellent task or a light trap mosquito task according to the parsed instructions.

[0045] S207. Control the floor cleaning module to start and execute tasks: If it is a floor cleaning task, the control module starts the floor cleaning module, adjusts parameters such as the power of the dust suction device, the rotation speed of the roller brush and the side brush according to the preset cleaning mode, the robot performs cleaning according to the planned path, and adjusts the cleaning strategy according to feedback information from dust sensors, collision sensors, etc.

[0046] S208. Control the ultrasonic mosquito repellent module to start and execute tasks: If it is an ultrasonic mosquito repellent task, the control module starts the ultrasonic mosquito repellent module, adjusts parameters such as the frequency and intensity of the ultrasonic generator, and controls the robot to move within the specified area to expand the mosquito repellent range.

[0047] S209. Control the light trapping device to start and execute tasks: If it is a task of trapping mosquitoes with light, the control module starts the light trapping device, adjusts parameters such as the wavelength and brightness of the light source and the working mode of the killing mechanism, and controls the robot to move to areas where mosquitoes are likely to appear for trapping.

[0048] S210. Adjust the strategy according to the sensor feedback during task execution: During the task execution, the control module receives in real time the information feedback from various sensors such as the dust sensor, collision sensor, and infrared sensor, and adjusts the working parameters of each module and the walking path of the robot according to the actual situation.

[0049] S211. The control module feeds back the task status through the communication module: The control module sends information such as the current working status of the robot, such as position, task progress, remaining battery power, etc., to the external device through the communication module for the user to grasp in real time.

[0050] S212. Whether the task is over: The control module determines whether the user-set working time has been reached or the specified task has been completed.

[0051] S213. Control the robot to return to the charging dock for charging: If the task is over, the control module controls the robot to return to the charging dock according to the planned return path for charging.

[0052] S214. End: Indicates the end of the entire control method process. Specific implementation manner

[0054] Example 1: Execution of floor cleaning task The user issues a voice command "Perform floor cleaning in the living room". After receiving the command, the voice recognition module converts it into an electrical signal and transmits it to the control module. The control module parses the command to determine that the task type is floor cleaning and the target area is the living room. The positioning module obtains the current position information of the robot and transmits it to the control module. The control module plans a path to the living room based on the position information of the living room and the indoor map.

[0055] Next, the control module controls the floor cleaning module to start, selects the standard cleaning mode, adjusts the power of the dust suction device to a medium level, and the roller brush and side brush start working at a moderate speed. The robot moves in the living room along the planned path for cleaning. During the cleaning process, the dust sensor detects that there is more dust in a certain area and feeds the information back to the control module. The control module automatically increases the power of the dust suction device to improve the cleaning effect in this area. When encountering an obstacle, the collision sensor transmits a signal to the control module, and the control module controls the robot to change the walking path and continue to complete the cleaning task.

[0056] After the cleaning task is completed, the control module uses the communication module to feedback the task completion information to the user's mobile phone APP, and at the same time controls the robot to return to the charging dock according to the planned return path for charging.

[0057] Embodiment 2: Execution of ultrasonic mosquito repellent task The user sets through the mobile phone APP to perform ultrasonic mosquito repellent in the bedroom from 8 pm to 10 pm. After the control module receives the instruction sent by the mobile phone APP, at 8 pm, it controls the ultrasonic mosquito repellent module to start, and adjusts the ultrasonic generator to emit ultrasonic waves with a frequency of 20 - 60 kHz and moderate intensity. The positioning module obtains the robot's position information, and the control module controls the robot to move slowly in the bedroom to expand the mosquito repellent range.

[0058] During the mosquito repellent process, the user can also temporarily adjust the mosquito repellent parameters through voice commands. For example, when issuing the command "increase mosquito repellent intensity", the voice recognition module receives it and transmits it to the control module. The control module adjusts the ultrasonic generator to increase the intensity of the ultrasonic waves. At 10 pm, the control module automatically controls the ultrasonic mosquito repellent module to stop working, and controls the robot to return to the charging dock for charging.

[0059] Embodiment 3: Execution of light trap mosquito task The user issues the voice command "perform light trap mosquito on the balcony", and the voice recognition module transmits the command to the control module. After the control module analyzes the command, it determines that the task type is light trap mosquito and the target area is the balcony. The positioning module obtains the position information, and the control module plans the path and controls the robot to go to the balcony.

[0060] After arriving at the balcony, the control module controls the light trap device to start, adjusts the light source to emit light with a wavelength of 365 - 400 nm and moderate brightness, and at the same time starts the electric shock killing mechanism. The robot stays at the positions where mosquitoes are likely to appear in the balcony to attract and kill mosquitoes. During the trapping process, the control module automatically adjusts the brightness of the light source according to the environmental light conditions to improve the trapping effect. When the set trapping time is reached, the control module controls the light trap device to stop working, and controls the robot to return to the charging dock for charging.

[0061] Supplementary details of further technical aspects Optimization of the sensor system The robot is also equipped with a variety of sensors to improve the intelligence and reliability of its operation. In addition to the dust sensor and collision sensor mentioned above, it also includes an infrared sensor, a cliff sensor, and a temperature and humidity sensor.

[0062] The infrared sensor is used to detect obstacles and human activities in the surrounding environment. Its principle is to emit infrared signals and receive the reflected signals to judge the distance and approximate shape of the object in front. When detecting human activities in front, the control module can, according to the preset rules, reduce the moving speed of the robot or pause the work to avoid interfering with or colliding with people.

[0063] The cliff sensor is installed at the bottom edge of the robot body. By detecting the light reflection below, it judges whether the robot is in a suspended edge position such as a step or a staircase to prevent the robot from falling and being damaged. Once a suspended situation is detected, the control module immediately controls the walking mechanism to stop moving forward and adjusts the direction to make the robot move away from the dangerous area.

[0064] The temperature and humidity sensor is used to monitor the temperature and humidity information of the environment in real time. The control module can, according to the temperature and humidity data and combined with the activity habits of mosquitoes, automatically adjust the working parameters of the ultrasonic mosquito repellent module and the light trapping device. For example, in a high-temperature and high-humidity environment where mosquitoes are active, it automatically increases the intensity of the ultrasonic wave and extends the time of light trapping.

[0065] Optimization of path planning algorithm In terms of path planning, in addition to using basic algorithms such as AI algorithms and Dijkstra algorithms, a dynamic obstacle avoidance strategy and a historical data learning mechanism are also combined.

[0066] In the dynamic obstacle avoidance strategy, during the movement of the robot, it obtains the surrounding environment information in real time through multiple sensors and constructs a local environment map. When detecting a newly emerging obstacle, the control module immediately re-plans the current path, adopts algorithms such as Rapidly-exploring Random Trees (RRT) algorithm or artificial potential field method to generate a new path that avoids the obstacle, ensuring that the robot can reach the target position safely and efficiently.

[0067] The historical data learning mechanism utilizes the path data and environment information accumulated by the robot during multiple task executions. The control module analyzes and learns these data through machine learning algorithms (such as reinforcement learning) to summarize the optimal path planning strategies under different environments and task requirements. For example, after performing cleaning tasks in a certain room multiple times, the robot can remember the fixed positions of furniture in the room and the areas where garbage often appears, and can directly plan a more efficient cleaning path the next time it performs the task, reducing repeated cleaning and ineffective movement.

[0068] Implementation methods for special scenarios Multi-floor operation scenario When there are multiple floors in the home environment, the robot can be equipped with a linkage device for the elevator system or use a stair-climbing mechanism to achieve cross-floor operation. If the robot uses the method of linking with the elevator system, it establishes a connection with the elevator control system through the communication module. After receiving the instruction to perform tasks on other floors, the control module sends a request signal to the elevator control system, causing the elevator to reach the floor where the robot is located and open the elevator door. After the robot enters the elevator, the control module sends the target floor signal again. After the elevator runs to the target floor, the robot exits the elevator and performs tasks on that floor.

[0069] If a stair-climbing mechanism is used, the mechanism can adopt a crawler type or a wheel-legged type structure, and cooperate with sensors to sense information such as the height and width of the stairs in real time. During the process of climbing the stairs, the control module precisely controls the actions of the stair-climbing mechanism according to the data fed back by the sensors to ensure that the robot can go up and down the stairs stably and safely. After reaching the target floor, it switches back to the normal walking mode to perform tasks.

[0070] Complex terrain environment scenario In some home environments with complex terrains such as carpets and thresholds, the walking mechanism and cleaning module of the robot can be adjusted adaptively. When the walking mechanism detects a carpet, the control module automatically raises the height of the robot body, increases the suction of the dust collection device, and at the same time increases the rotation speed of the roller brush to more effectively clean the dust and garbage on the carpet.

[0071] When encountering a threshold, the robot detects the height of the threshold through the height sensor at the front end. If the threshold height is within the range that the robot can cross, the control module controls the walking mechanism to adjust the motor power and rotation speed to make the robot cross the threshold smoothly; if the threshold height exceeds the crossable range, the control module controls the robot to stop moving forward and sends a prompt message to the user through the communication module to request manual assistance or adjust the task area.

Claims

1. A multifunctional intelligent cleaning and mosquito repelling robot based on voice control, characterized in that, Including: A robot body with a traveling mechanism provided at the bottom; A voice recognition module provided on the robot body for receiving a user voice command and converting it into an electrical signal; A control module electrically connected to the voice recognition module for parsing the electrical signal of the voice command, and also electrically connected to a floor cleaning module, an ultrasonic mosquito repellent module, a light trapping device, a positioning module, and a communication module respectively; A floor cleaning module provided at the bottom of the robot body, including a dust suction device, a roller brush, and a side brush, for performing floor cleaning tasks; An ultrasonic mosquito repellent module provided inside the robot body, capable of emitting ultrasonic waves with a specific frequency to drive away mosquitoes; A light trapping device provided at the top or side of the robot body, including a light source with a specific wavelength and a killing mechanism, for attracting and killing mosquitoes; A positioning module for obtaining the position information of the robot; A communication module for realizing data interaction between the robot and external devices.

2. The multifunctional intelligent cleaning and mosquito repelling robot based on voice control according to claim 1, wherein Based on the voice command, the control module combines the position information obtained by the positioning module and the indoor map, and uses a path planning algorithm to plan a path to the target area.

3. The multifunctional intelligent cleaning and mosquito repelling robot based on voice control according to claim 1, characterized in that, The ultrasonic mosquito repellent module uses an ultrasonic generator with adjustable frequency, and the control module adjusts the frequency and intensity of the ultrasonic generator according to different mosquito repellent characteristics.

4. The multifunctional intelligent cleaning and mosquito repellent robot based on voice control according to claim 1, characterized in that, The light source of the light trapping device can emit light with a specific wavelength that attracts mosquitoes, and the killing mechanism is a sticky insect trap or a high-voltage power grid.

5. The multifunctional intelligent cleaning and mosquito repellent robot based on voice control according to claim 1, wherein The communication module uses Bluetooth, Wi-Fi, or ZigBee wireless communication technology.

6. The multifunctional intelligent cleaning and mosquito repelling robot based on voice control according to claim 1, characterized in that, It also includes a dust sensor and a collision sensor. The dust sensor is used to detect the dust amount in the cleaning area, and the collision sensor is used to detect obstacles. The control module adjusts the working parameters of the floor cleaning module and the traveling path of the robot according to the feedback information of the dust sensor and the collision sensor.

7. The multifunctional intelligent cleaning and mosquito repelling robot based on voice control according to claim 1, characterized in that, It also includes an infrared sensor, a cliff sensor, and a temperature and humidity sensor; the infrared sensor is used to detect surrounding obstacles and human activities; the cliff sensor is used to detect a suspended edge; the temperature and humidity sensor is used to monitor the environmental temperature and humidity. The control module adjusts the working state of the robot according to the feedback information of the infrared sensor, the cliff sensor, and the temperature and humidity sensor.

8. A control method for the multifunctional intelligent cleaning and mosquito repellent robot according to any one of claims 1-7, characterized in that, Including the following steps: The voice recognition module receives a user voice command and transmits it to the control module; The control module parses the voice command to obtain information such as the task type, target room or area, working time, etc.; The positioning module obtains the current position information of the robot, and the control module combines the indoor map to plan a path to the target position; If the task type is a floor cleaning task, the control module controls the floor cleaning module to start, adjusts the working parameters according to the preset cleaning mode, the robot cleans according to the planned path, and adjusts the cleaning strategy according to the sensor feedback; If the task type is an ultrasonic mosquito repellent task, the control module controls the ultrasonic mosquito repellent module to start, adjusts the parameters of the ultrasonic generator, and controls the robot to move in the specified area; If the task type is a light trapping mosquito task, the control module controls the light trapping device to start, adjusts the parameters of the light source and the killing mechanism, and controls the robot to move to the area where mosquitoes are likely to appear; The control module feeds back the working status of the robot to external devices through the communication module; When the working time is reached or the task is completed, the control module controls the robot to stop the task and return to the charging dock for charging.

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