Method for controlling dish washing machine to work based on spectrum sensor

Abstract

The invention discloses a method for controlling a dish-washing machine to work based on a spectrum sensor, residues and peculiar smell in the washing process are monitored in real time through the spectrum sensor, and washing parameters are dynamically adjusted in combination with a temperature and humidity compensation algorithm and an embedded intelligent model so as to achieve efficient cleaning. The method specifically comprises the steps that a spectrum sensor is installed at the bottom of a water outlet and used for detecting residues such as grease, protein, starch and sugar; a spectrum sensor is installed at the air outlet and used for detecting peculiar smell gas such as hydrogen sulfide and VOCs. By pre-collecting'clean standard sample 'data and combining a temperature compensation formula and a humidity-temperature compensation formula, a washing mode (such as a high-temperature mode and detergent dosage) and the working state of an exhaust system are adjusted in real time. When the similarity between calibration data and a standard sample is larger than or equal to 95%, washing is automatically stopped, and the cleaning efficiency and the energy-saving effect are improved. The problem that a traditional dish-washing machine cannot be dynamically adjusted according to actual stains is solved, meanwhile, real-time monitoring and treatment of peculiar smells are achieved, and the dish-washing machine has wide application prospects.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent dishwasher control, and in particular to a method for controlling the operation of a dishwasher based on a spectral sensor. Background Art

[0002] Traditional dishwashers usually rely on preset programs to control washing time and parameters, and cannot be dynamically adjusted according to the actual type and degree of stains, resulting in waste of resources or incomplete cleaning. For example, grease residues require high temperatures and large amounts of detergent, while starch residues require longer spraying times. Existing technologies lack real-time monitoring and feedback mechanisms for residues during the washing process, making it difficult to achieve precise control.

[0003] In addition, when the dishwasher cavity is not in operation, it is easy to produce odor (such as hydrogen sulfide and VOCs) due to fermentation of food residues, which affects the user experience. Existing technologies usually rely on users to manually clean or regularly maintain, and cannot achieve real-time monitoring and treatment of odor.

[0004] In response to the above problems, the present invention proposes a method for controlling the operation of a dishwasher based on a spectral sensor. By real-time monitoring of residues and odorous gases, combined with an environmental compensation algorithm and an embedded intelligent model, the washing parameters are dynamically adjusted to achieve an efficient, energy-saving and environmentally friendly washing process. Summary of the invention

[0005] The purpose of the present invention is to provide a method for controlling the operation of a dishwasher based on a spectral sensor. The problem solved by the present invention is that traditional dishwashers cannot dynamically adjust washing parameters according to actual stains. The spectral sensor monitors residues (grease, protein, starch) and odorous gases (hydrogen sulfide, VOCs) in real time, combines temperature and humidity compensation algorithms and embedded intelligent models, and dynamically optimizes washing modes and exhaust systems. At the same time, the odor is automatically detected and removed in the non-working state, which significantly improves cleaning efficiency, energy saving effects and user experience.

[0006] The present invention discloses a method for controlling the operation of a dishwasher based on a spectral sensor, comprising the following steps:

[0007] Spectral sensors with embedded models are installed at the bottom of the dishwasher water outlet and the exhaust outlet. After the temperature and humidity compensation calibration data before, during and after washing, the residual and odor are judged to dynamically adjust the washing mode, determine whether the washing process is completed, and start and stop the exhaust system.

[0008] The water outlet sensor collects spectral data of residues such as grease and protein of different concentrations through experiments, and trains a support vector machine (SVM) classification model.

[0009] The exhaust vent sensor is calibrated with a gas chromatography device to calibrate the spectral characteristics of hydrogen sulfide and VOCs, and a regression model is established.

[0010] Preferably, in the method for controlling the operation of a dishwasher based on a spectral sensor, before washing, the method comprises:

[0011] Before washing, a clean water sample is transported to the water outlet sensor through a reserved pipeline, and spectral data of the "clean standard sample" is collected.

[0012] Preferably, in the method for controlling the operation of a dishwasher based on a spectral sensor, the washing process includes:

[0013] During formal washing, the water outlet sensor collects the spectral data of the water after spraying, and after calibration with the temperature compensation formula, it is input into the residue recognition model to dynamically adjust the washing mode.

[0014] The temperature compensation formula is: C (spectral data after calibration) = c (original spectral data) - (k (temperature slope coefficient) * ΔT (real-time temperature - standard temperature 25°C))

[0015] The dynamic adjustment washing process comprises:

[0016] When grease residue is detected, high temperature mode (60-70°C) is activated and the highest detergent dosage is used;

[0017] When protein residue is detected, high temperature mode (60-70°C) is activated;

[0018] When starch residue is detected, high temperature mode (60-70°C) and high pressure spray flushing are started.

[0019] Preferably, in the method for controlling the operation of a dishwasher based on a spectral sensor, the step of determining whether the washing process is completed includes:

[0020] When the similarity between the spectral data of the calibrated outlet and the spectral data of the standard sample is ≥95%, the washing is terminated.

[0021] The similarity calculation adopts the ratio calculation method. The formula is (C (spectral data after calibration) / C (spectral number of standard sample)) * 100%

[0022] Preferably, in the method for controlling the operation of a dishwasher based on a spectral sensor, after washing, the method comprises:

[0023] When the dishwasher finishes its work, there may be odors (hydrogen sulfide, VOCs) in the dishwasher cavity due to food residues that were not cleaned up. At this time, the exhaust vent sensor starts to collect spectral data, which is compared with the preset embedded model after temperature-humidity compensation to identify the odor (hydrogen sulfide, VOCs). When the two gases are identified, the exhaust system starts to work until the data drops to normal, then the exhaust stops and the user is reminded that there may be residues in the filter.

[0024] The temperature-humidity compensation formula is:

[0025] C (calibrated spectrum data) = c (original spectrum data) - (k1 (humidity slope) * ΔH (real-time humidity - standard humidity 40%) + k2 (temperature slope) * ΔT (real-time temperature - standard temperature 25°C))

[0026] The beneficial effects of the present invention are:

[0027] 1. Dynamically optimize washing parameters through spectral data to reduce water and electricity consumption;

[0028] 2. Dual sensors work together to ensure washing quality and odor control;

[0029] 3. Temperature and humidity compensation algorithm improves data reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0031] Figure 1 Flowchart of a method for controlling dishwasher operation based on spectral sensor DETAILED DESCRIPTION

[0032] The following will clearly and completely describe and discuss the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings of the present invention. Obviously, what is described here is only a part of the examples of the present invention, not all the examples. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0033] Implementation example:

[0034] The present invention discloses a method for controlling the operation of a dishwasher based on a spectral sensor, comprising the following steps:

[0035] Step 1: Install spectral sensors with embedded models at the bottom of the dishwasher water outlet and the exhaust outlet. After the temperature and humidity compensation calibration data before, during and after washing, the residual and odor are judged to dynamically adjust the washing mode, determine whether the washing process is completed, and start and stop the exhaust system.

[0036] The water outlet sensor collects spectral data of residues such as grease and protein of different concentrations through experiments, and trains a support vector machine (SVM) classification model.

[0037] The exhaust vent sensor is calibrated with a gas chromatography device to calibrate the spectral characteristics of hydrogen sulfide and VOCs, and a regression model is established.

[0038] Step 2: Put the greasy dishes into the dishwasher and start the washing program; before washing, transport the clean water sample to the water outlet sensor through the reserved pipeline, and collect the spectral data of the "clean standard sample". Table 1 lists the 1-dimensional original spectral data.

[0039] Step 3: During formal washing, the water outlet sensor collects spectral data of unheated water after the initial spray, and inputs the data into the residue recognition model to dynamically adjust the washing mode. When grease residue is detected, the high temperature mode (60-70°C) is started and the highest detergent dosage is used; at this time, the original spectral data is collected in real time and calibrated with the temperature compensation formula to output the calibrated spectral value for the next model to be compared in real time. The collected original spectral data are listed in Table 1, including 1-dimensional original spectral data.

[0040] The temperature compensation formula is: C (spectral data after calibration) = c (original spectral data) - (k (temperature slope coefficient) * ΔT (real-time temperature - standard temperature 25°C)) = 670916 - ((-3256.67) * (45-25))

[0041] =736049

[0042] Table 1

[0043]

[0044] Step 4: The spectral data of the calibrated outlet after calibration is compared with the spectral data of the standard sample in real time, and the washing is terminated when the similarity is ≥95% as shown in Table 2.

[0045] The similarity calculation adopts the ratio calculation method. The formula is (C (spectral data after calibration) / C (spectral number of standard sample)) * 100%

[0046] Table 2

[0047]

[0048] Step 5: When the dishwasher finishes its work, the temperature sensor shows 35°C and the humidity sensor shows 60% due to the odor (hydrogen sulfide, VOCs) caused by the food residues in the dishwasher cavity that have not been cleaned for a long time. The exhaust vent sensor starts to collect spectral data. After temperature-humidity compensation (as shown in Table 3), it is compared with the preset embedded odor identification (hydrogen sulfide, VOCs) model. It is recognized that the gas in the cavity exceeds the standard, and the exhaust system starts to work until the data drops to normal, then the exhaust stops and reminds the user that there may be residues in the filter.

[0049] Table 3

[0050]

[0051] The temperature-humidity compensation formula is:

[0052] C (calibrated spectrum data) = c (original spectrum data) - (k1 (humidity slope) * ΔH (real-time humidity - standard humidity 40%) + k2 (temperature slope) * ΔT (real-time temperature - standard temperature 25°C))

[0053] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the disclosure disclosed herein. This application is intended to cover any variations, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the art that are not disclosed in the present disclosure. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present disclosure are indicated by the appended claims.

[0054] It should be understood that the present disclosure is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure should be limited by the appended claims.

Claims

1. A method for controlling the operation of a dishwasher based on a spectral sensor, characterized in that: The following steps are involved: Spectral sensors with embedded models are installed at the bottom of the dishwasher water outlet and the exhaust outlet. After the temperature and humidity compensation calibration data before, during and after washing, the residual and odor are judged to dynamically adjust the washing mode, determine whether the washing process is completed, and start and stop the exhaust system. The water outlet sensor collects spectral data of residues such as grease and protein of different concentrations through experiments, and trains a support vector machine (SVM) classification model. The exhaust vent sensor is calibrated with a gas chromatography device to calibrate the spectral characteristics of hydrogen sulfide and VOCs, and a regression model is established.

2. The method for controlling the operation of a dishwasher based on a spectral sensor according to claim 1, characterized in that: Before the washing, the steps include: Before washing, the clean water sample is transported to the water outlet sensor through the reserved pipeline, and the spectral data of the "clean standard sample" is collected.

3. A method for controlling the operation of a dishwasher based on a spectral sensor according to claim 1, characterized in that: The washing comprises: During formal washing, the water outlet sensor collects the spectral data of the water after spraying, and after calibration with the temperature compensation formula, it is input into the residue recognition model to dynamically adjust the washing mode. The temperature compensation formula is: C (spectral data after calibration) = c (original spectral data) - (k (temperature slope coefficient) * ΔT (real-time temperature - standard temperature 25°C)) The dynamic adjustment washing process includes: When grease residue is detected, high temperature mode (60-70°C) is activated and the highest detergent dosage is used; When protein residue is detected, high temperature mode (60-70°C) is activated; When starch residue is detected, high temperature mode (60-70°C) and high pressure spray flushing are started.

4. A method for controlling the operation of a dishwasher based on a spectral sensor according to claim 1, characterized in that: The step of determining whether the washing process is completed comprises: When the similarity between the spectral data of the calibrated outlet and the spectral data of the standard sample is ≥95%, the washing is terminated. The similarity calculation adopts the ratio calculation method. The formula is (C (spectral data after calibration) / C (spectral number of standard sample)) * 100% 5. A method for controlling the operation of a dishwasher based on a spectral sensor according to claim 1, characterized in that: After the washing, the steps include: When the dishwasher finishes its work, there may be odors (hydrogen sulfide, VOCs) in the dishwasher cavity due to food residues that were not cleaned up. At this time, the exhaust vent sensor starts to collect spectral data, which is compared with the preset embedded model after temperature-humidity compensation to identify the odor (hydrogen sulfide, VOCs). When the two gases are identified, the exhaust system starts to work until the data drops to normal, then the exhaust stops and the user is reminded that there may be residues in the filter. The temperature-humidity compensation formula is: C (calibrated spectrum data) = c (original spectrum data) - (k1 (humidity slope) * ΔH (real-time humidity - standard humidity 40%) + k2 (temperature slope) * ΔT (real-time temperature - standard temperature 25°C))

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