Method for controlling sweeping and mopping robot to work based on spectrum sensor

Abstract

According to the method for controlling the sweeping and mopping robot to work based on the spectrum sensor, intelligent control over work of the sweeping and mopping robot is achieved by accurately recognizing the ground pollution condition, water resources and electric energy are effectively saved, the working time is shortened, noise pollution is reduced, and the cleaning efficiency and the comfort level of the living environment are improved.

Description

Technical Field

[0001] This invention belongs to the field of smart home technology, specifically relating to a method for controlling the operation of a sweeping and mopping robot based on a spectral sensor. Background Technology

[0002] With the development of technology, smart home devices are becoming increasingly popular, among which robot vacuums and mops are widely used in household cleaning. Traditional robot vacuums and mops often use fixed cleaning modes, sweeping and mopping according to a preset program regardless of the degree of soiling. This not only wastes water resources but also increases energy consumption and machine operating time, resulting in unnecessary noise. With the development of smart home technology, how to achieve intelligent control of robot vacuums and mops, flexibly adjusting their working modes according to the actual conditions of the floor, has become an urgent problem to be solved. This invention uses a spectral sensor to accurately identify pollutants and then controls the working mode and duration of the robot vacuum and mop, thereby achieving energy efficiency. This invention provides a method for controlling the operation of a robot vacuum and mop based on a spectral sensor. Summary of the Invention

[0003] The purpose of this invention is to provide a method for controlling the operation of a sweeping and mopping robot based on a spectral sensor. By using the spectral sensor, water and electricity consumption can be saved, working time can be reduced, and noise levels can be decreased.

[0004] To achieve the aforementioned objectives and solve the technical problems, the present invention is implemented through the following technical solution:

[0005] This invention discloses a method for controlling a sweeping and mopping robot based on a spectral sensor, comprising the following steps:

[0006] Step 1: To optimize the water and electricity consumption of the robot vacuum cleaner using the spectral sensor, and reduce working time and thus noise levels, it is necessary to collect cleanliness data of the entire house as a blank background and pollutant data. The specific data collection method is as follows:

[0007] When the blank background is first installed or at a specified time (such as every morning), and the entire floor is confirmed to be clean, the spectral sensor scans the entire range and records the spectral characteristic data of each area as a benchmark for subsequent comparisons (i.e., the "blank background").

[0008] The pollution data is obtained by placing solid and liquid pollutants against a blank background and scanning their spectral characteristics using a spectral sensor.

[0009] The spectral feature data includes visible light spectrum and infrared light spectrum.

[0010] Step 2: Perform data processing on the blank background feature spectral data and pollution spectral feature data collected in Step 1. The specific processing procedure is as follows:

[0011] The blank spectral feature data and the pollution spectral feature data collected in step 1 are subjected to spectral difference processing at the same wavelength. The difference formula is as follows:

[0012] ΔX = λ1 - λ0, where ΔX is the difference result, λ1 is the pollution spectral characteristic data, and λ0 is the blank spectral characteristic data.

[0013] Step 3: Confirm the wavelengths of solid and liquid contaminants based on the difference data processed in Step 2. Details of the confirmation are as follows:

[0014] The wavelength is determined by ΔX. If the wavelength ΔX is less than 0 and is the smallest compared to other ΔX values, the optimal wavelength for liquid contaminants is determined. If the wavelength ΔX is greater than 0 and is the largest compared to other ΔX values, the optimal wavelength for solid contaminants is determined.

[0015] The wavelengths of the solid pollutants were confirmed to be those of the visible light spectrum, and the wavelengths of the liquid pollutants were confirmed to be those of the infrared spectrum.

[0016] Step 4: Configure the logic for the pollutant wavelengths identified in Step 3 to control the working mode of the sweeping and mopping robot. The specific process is as follows:

[0017] The logical configuration controls the working mode of the sweeping and mopping robot based on the magnitude of the ΔX value, specifically as follows:

[0018] The robot vacuum cleaner will not work when the ΔX value of the visible light spectrum is less than the preset value and the ΔX value of the infrared spectrum is greater than the preset value.

[0019] When the visible light spectrum ΔX value is less than the preset value, and the infrared spectrum ΔX value is less than the preset value, liquid contaminants are present, and the robot vacuum and mop will enter mopping mode.

[0020] When the visible light spectrum ΔX value is greater than the preset value, or the infrared spectrum ΔX value is greater than the preset value, liquid contaminants are present, and the robot vacuum and mop will enter sweeping mode.

[0021] When the ΔX value of the visible light spectrum is greater than the preset value and the ΔX value of the infrared spectrum is less than the preset value, the robot vacuum and mop will first perform the sweeping mode and then the mopping mode.

[0022] The beneficial effects of this invention are:

[0023] 1. By accurately identifying contaminated areas, indiscriminate general cleaning is avoided, significantly reducing the use of water and electricity.

[0024] 2. It reduces unnecessary cleaning frequency and duration, lowers machine noise, and improves the quietness of the living environment.

[0025] 3. This invention employs spectral sensor technology to achieve intelligent control of the sweeping and mopping robot, thereby improving the product's technological content and market competitiveness. Attached Figure Description

[0026] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0027] Figure 1 Flowchart of a method for controlling a sweeping and mopping robot based on a spectral sensor Detailed Implementation

[0028] The technical solutions in the embodiments of the present invention will be clearly and completely described and discussed below with reference to the accompanying drawings. Obviously, what is described here is only a part of the examples of the present invention, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the protection scope of the present invention.

[0029] Implementation example:

[0030] Step 1: To optimize the water and electricity consumption of the robot vacuum cleaner using the spectral sensor, and reduce working time and thus noise levels, it is necessary to collect cleanliness data of the entire house as a blank background and pollutant data. The specific data collection method is as follows:

[0031] When the blank background is first installed, and the entire floor is confirmed to be clean, the spectral sensor scans and records the spectral characteristic data of each area across the entire range, which serves as the benchmark for subsequent comparisons (i.e., the "blank background").

[0032] The pollution data is obtained by placing solid and liquid pollutants against a blank background and scanning their spectral characteristics using a spectral sensor.

[0033] The spectral feature data includes visible light spectrum and infrared light spectrum.

[0034] Step 2: Perform data processing on the blank background feature spectral data and pollution spectral feature data collected in Step 1. The specific processing procedure is as follows:

[0035] The blank spectral feature data and the pollution spectral feature data collected in step 1 are subjected to spectral difference processing at the same wavelength. The difference formula is as follows:

[0036] ΔX = λ1 - λ0, where ΔX is the difference result, λ1 is the pollution spectral characteristic data, and λ0 is the blank spectral characteristic data.

[0037] Step 3: Confirm the wavelengths of solid and liquid contaminants based on the difference data processed in Step 2. Details of the confirmation are as follows:

[0038] The wavelength is determined by ΔX. If the wavelength ΔX is less than 0 and is the smallest compared to other ΔX values, the optimal wavelength for liquid pollutants is determined. If the wavelength ΔX is greater than 0 and is the largest compared to other ΔX values, the optimal wavelength for solid pollutants is determined, as shown in Table 1.

[0039]

[0040] Table 1

[0041] The wavelength of the solid pollutant was confirmed to be the visible light spectrum, and the wavelength of the liquid pollutant was confirmed to be the infrared spectrum, wherein the visible light wavelength was 624 nm and the infrared wavelength was 1545 nm.

[0042] Step 4: Configure the logic for the pollutant wavelengths identified in Step 3 to control the working mode of the sweeping and mopping robot. The specific process is as follows:

[0043] The logical configuration controls the working mode of the sweeping and mopping robot based on the magnitude of the ΔX value, specifically as follows:

[0044] The robot vacuum cleaner will not work when the ΔX value at 624nm is less than the preset value and the ΔX value at 1545nm is greater than the preset value.

[0045] When the ΔX value at 624nm is less than the preset value, and the ΔX value at 1545nm is less than the preset value, liquid contaminants are present, and the robot vacuum and mop will enter mopping mode.

[0046] When the 624nm ΔX value is greater than the preset value, and the 1545nm ΔX value is greater than the preset value, liquid contaminants are present, and the robot vacuum and mop will enter sweeping mode.

[0047] When the ΔX value at 624nm is greater than the preset value and the ΔX value at 1545nm is less than the preset value, the robot vacuum and mop will first switch to sweeping mode and then to mopping mode.

[0048] The preset values ​​are set to 5000 for 624nm and -5000 for 1545nm.

[0049] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the appended claims.

[0050] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and adaptations can be made without departing from its scope. The scope of this disclosure should be limited by the appended claims.

Claims

1. A method for controlling a sweeping and mopping robot based on a spectral sensor. The present invention belongs to the field of smart home technology, and specifically relates to a method for controlling a sweeping and mopping robot based on a spectral sensor. The method is characterized by comprising the following steps: Step 1: In order to realize the spectral sensor to optimize the sweeping and mopping robot to save water and electricity energy consumption, reduce working hours and thus reduce noise duration, it is necessary to collect clean data of the whole house as blank background and pollutant data. Step 2: Perform data processing on the blank background characteristic spectrum data and the pollution spectrum characteristic data collected in step 1. Step 3: Confirm the wavelengths of solid pollutants and liquid pollutants based on the difference data processed in step 2. Step 4: Perform logic configuration based on the pollutant wavelength confirmed in step 3 to control the working mode of the sweeping and mopping robot.

2. According to the method of controlling the operation of a sweeping and mopping robot based on a spectral sensor as described in claim 1, it is characterized in that: In step 1 above, the specific collection method is as follows: The blank background is first installed or at a specified time (such as every morning), when it is confirmed that the floor of the whole house is in a clean state, the spectral sensor scans the entire range and records the spectral characteristic data of each area as a benchmark for subsequent comparisons (ie, the "blank background").

3. According to the method of controlling the operation of a sweeping and mopping robot based on a spectral sensor as described in claim 1, it is characterized in that: In step 2 above, the specific processing process is as follows: The blank spectrum characteristic data and the contaminated spectrum characteristic data collected in step 1 are subjected to spectrum difference processing at the same wavelength. The difference formula is as follows: ΔX=λ1-λ0, where ΔX is the difference result, λ1 is the contamination spectrum characteristic data, and λ0 is the blank spectrum characteristic data.

4. According to the method of controlling the operation of a sweeping and mopping robot based on a spectral sensor as described in claim 1, it is characterized in that: In step 3 above, confirm the details as follows: The wavelength confirmation is determined by ΔX. If the wavelength ΔX is less than 0 and is the smallest compared to other ΔX, the optimal wavelength for liquid pollutants is determined. If the wavelength ΔX is greater than 0 and is the largest compared to other ΔX, the optimal wavelength for solid pollutants is determined.

5. According to the method of controlling the operation of a sweeping and mopping robot based on a spectral sensor as described in claim 1, the feature is that: In step 4 above, the specific process is as follows: The logic configuration controls the working mode of the sweeping and mopping robot according to the value of ΔX, which is specifically divided as follows: When the ΔX value of the visible light spectrum is less than the preset value and the ΔX value of the infrared spectrum is greater than the preset value, the sweeping and mopping robot does not work. When the ΔX value of the visible light spectrum is less than a preset value and the ΔX value of the infrared spectrum is less than a preset value, liquid contaminants are present and the sweeping and mopping robot enters the mopping mode. When the ΔX value of the visible light spectrum is greater than a preset value and the ΔX value of the infrared spectrum is greater than a preset value, liquid pollutants are present and the sweeping and mopping robot enters the sweeping mode. When the ΔX value of the visible light spectrum is greater than the preset value and the ΔX value of the infrared spectrum is less than the preset value, the sweeping and mopping robot first performs the sweeping mode and then performs the mopping mode.

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