Control method and system of ultrasonic cleaning equipment and cleaning equipment

Abstract

The invention relates to the technical field of intelligent control, in particular to a control method and system of ultrasonic cleaning equipment and the cleaning equipment. The method comprises the steps that feature information of a cleaned object, the output power of the cleaning equipment and the concentration of a cleaning medium are obtained; constructing a material feature vector according to the feature information of the cleaned article; material feature parameters are calculated according to the material feature vectors; pollution factors are calculated according to the material feature vectors and the material feature parameters; calculating a pollution degree value according to the pollution factor; judging the pollution type according to the pollution degree value; power parameters are calculated according to the output power, the cleaning medium concentration and the pollution degree value; pollution control parameters are calculated according to the material characteristic parameters and the pollution factors; optimal cleaning control parameters are calculated according to the pollution control parameters, the power parameters and the pollution factors; and matching the optimal cleaning mode according to the pollution type and the optimal cleaning control parameters. According to the method, the optimal cleaning parameters can be selected to clean the cleaned articles.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to a control method and system for ultrasonic cleaning equipment and cleaning equipment. Background Art

[0002] At present, ultrasonic cleaning technology, as an advanced cleaning method, has developed rapidly in recent years due to its high efficiency, energy saving and environmental protection. This technology uses ultrasonic energy to exert force on stain particles to separate them from the attached surface, thereby achieving the purpose of cleaning. Ultrasonic cleaning technology can not only be carried out in a water environment, but also can achieve waterless cleaning, avoiding the use of chemical detergents. It is an ideal environmentally friendly cleaning method.

[0003] In the prior art, most of the equipment in the ultrasonic cleaning industry has a relatively simple working mode, and only provides a few limited cleaning modes such as "fast", "standard", and "thorough" for users to choose. In actual operation, users can only adjust the equipment to "standard" or "thorough" mode, and the equipment will start cleaning at a constant power until the cleaning is completed. This simple way of selecting the cleaning mode fails to fully consider the impact of various factors on the cleaning effect, such as the material of the object being cleaned, the degree of contamination, the amount of water supplied, and the cleaning power.

[0004] However, if the material of the cleaning items, the degree of contamination, the cleaning power and other factors are not considered, the same parameters will be used to clean the clothes, but the type and adhesion of stains on each cleaning item are different, making it difficult to achieve the best cleaning effect. Summary of the invention

[0005] The present invention provides a control method, system and cleaning equipment for ultrasonic cleaning equipment, which select optimal cleaning control parameters according to multiple factors such as the material of the cleaning object, the degree of contamination and the cleaning power, and match them according to the optimal cleaning control parameters to obtain the optimal cleaning mode of the cleaning equipment, so as to control the operation of the cleaning equipment according to the optimal cleaning mode.

[0006] In a first aspect, in order to solve the above technical problems, the present invention provides a control method for ultrasonic cleaning equipment, comprising: Obtaining characteristic information of the items being cleaned, the output power of the cleaning equipment, and the concentration of the cleaning medium; Constructing a vector according to the feature information of the cleaned object to obtain a material feature vector; Calculating according to the material feature vector to obtain material feature parameters of the object to be cleaned; Calculate the pollution factor according to the material feature vector and the material feature parameter to obtain the pollution factor of the cleaned article; Calculate the contamination degree according to the contamination factor to obtain the contamination degree value of the cleaned article; Performing a pollution type determination operation according to the pollution degree value to obtain the pollution type of the cleaned article; Calculating according to the output power, the cleaning medium concentration and the contamination degree value to obtain a power parameter of the cleaning equipment; Perform pollution control calculation according to the material characteristic parameters and the pollution factor to obtain pollution control parameters; Perform cleaning control calculation according to the pollution control parameter, the power parameter and the pollution factor to obtain the optimal cleaning control parameter; The optimal cleaning mode of the cleaning device is obtained by matching the pollution type with the optimal cleaning control parameter, so as to control the operation of the cleaning device according to the optimal cleaning mode.

[0007] In an optional implementation, the calculating according to the material feature vector to obtain the material feature parameter of the cleaned object includes: The material characteristic parameters of the cleaned items are calculated using the following formula: In the formula, is the material characteristic parameter; is the material feature vector, They are the melting point, freezing point, heat of fusion, latent heat of solidification, surface tension, viscosity, density, heat transfer coefficient, specific heat, solubility, viscosity, interfacial tension and surface temperature of the items being cleaned.

[0008] In an optional implementation, the calculating of the pollution factor according to the material feature vector and the material feature parameter to obtain the pollution factor of the cleaned article includes: The pollution factor is calculated by the following formula: In the formula, is the pollution factor, is the material characteristic parameter, For the A material feature vector.

[0009] In an optional implementation, the calculating of the pollution degree according to the pollution factor to obtain the pollution degree value of the cleaned article includes: The pollution degree value is calculated by the following formula: In the formula, is the contamination degree of the cleaned items, is the pollution factor, is the base of natural logarithms, is the attenuation rate, is the pollution factor coefficient.

[0010] In an optional implementation, the performing a pollution type determination operation according to the pollution degree value to obtain the pollution type of the cleaned article includes: when , then the pollution type is determined to be strong pollution; when , then the pollution type is determined to be medium pollution; when , then the pollution type is determined to be weak pollution; when , then the pollution type is determined to be weak pollution; in, is the contamination degree of the cleaned items, , , They are respectively the preset first pollution threshold, the second pollution threshold, and the third pollution threshold.

[0011] In an optional implementation, the calculation based on the output power, the cleaning medium concentration and the pollution degree value to obtain the power parameter of the cleaning device includes: The power parameters are calculated using the following formula: In the formula, is the power parameter of the cleaning equipment, is the contamination degree of the cleaned items, is the output power of the cleaning equipment, is the cleaning medium concentration, is the base of natural logarithms.

[0012] In an optional implementation, performing pollution control calculation according to the material characteristic parameter and the pollution factor to obtain the pollution control parameter includes: The pollution control parameters are calculated by the following formula: In the formula, is the pollution control parameter, is the material characteristic parameter, is the pollution factor, is the base of natural logarithms, is the number of material feature vectors.

[0013] In an optional implementation, performing cleaning control calculation according to the pollution control parameter, the power parameter and the pollution factor to obtain the optimal cleaning control parameter includes: The optimal cleaning control parameters are calculated by the following formula: In the formula, is the optimal cleaning control parameter, is the power parameter of the cleaning equipment, is the pollution control parameter, is the pollution factor.

[0014] In an optional implementation, matching the pollution type with the optimal cleaning control parameter to obtain an optimal cleaning mode for a cleaning device, and controlling the operation of the cleaning device according to the optimal cleaning mode specifically includes: When the pollution degree type is strong pollution or the optimal cleaning control parameter is greater than the preset first parameter threshold, the strong power cleaning mode is adopted; When the pollution level type is medium pollution or the optimal cleaning control parameter is less than or equal to the preset first parameter threshold and greater than the second threshold, the medium power cleaning mode is adopted; When the pollution degree type is weak pollution or the optimal cleaning control parameter is less than or equal to the second parameter threshold and greater than the third threshold, the low-power cleaning mode is adopted; When the pollution degree type is weak pollution or the optimal cleaning control parameter is less than or equal to the third parameter threshold and greater than the fourth threshold, the ultra-low power cleaning mode is adopted; When the optimal cleaning control parameter is less than or equal to the fourth parameter threshold, cleaning is stopped.

[0015] In a second aspect, the present invention provides a control system for ultrasonic cleaning equipment, comprising: A data acquisition module is used to obtain characteristic information of the cleaned object, the output power of the cleaning equipment and the concentration of the cleaning medium; A feature vector construction module is used to construct a vector according to the feature information of the cleaned object to obtain a material feature vector; A characteristic parameter calculation module, used to calculate according to the material characteristic vector to obtain the material characteristic parameters of the cleaned object; A pollution factor calculation module, used to calculate the pollution factor according to the material feature vector and the material feature parameter to obtain the pollution factor of the cleaned article; A pollution degree calculation module, used to calculate the pollution degree according to the pollution factor to obtain the pollution degree value of the cleaned article; A pollution type judgment module, used to perform pollution type judgment operation according to the pollution degree value to obtain the pollution type of the cleaned article; A power parameter calculation module, used to calculate according to the output power, the cleaning medium concentration and the pollution degree value to obtain the power parameter of the cleaning equipment; A control parameter calculation module, used to perform pollution control calculation according to the material characteristic parameters and the pollution factor to obtain pollution control parameters; An optimal parameter calculation module, used to perform cleaning control calculation according to the pollution control parameter, the power parameter and the pollution factor to obtain an optimal cleaning control parameter; The cleaning mode matching module is used to match the pollution type with the optimal cleaning control parameter to obtain the optimal cleaning mode of the cleaning equipment, and control the operation of the cleaning equipment according to the optimal cleaning mode.

[0016] In a third aspect, the present invention further provides an electronic device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, it implements a control method for an ultrasonic cleaning device as described in any one of the above.

[0017] In a fourth aspect, the present invention further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute a control method for an ultrasonic cleaning device as described in any one of the above.

[0018] In a fifth aspect, the present invention further provides a cleaning device, comprising a control system of an ultrasonic cleaning device as described in any one of the above.

[0019] Compared with the prior art, the present invention has the following beneficial effects: The present invention discloses a control method for ultrasonic cleaning equipment, which is characterized by comprising the steps of obtaining characteristic information of an object to be cleaned, output power of the cleaning equipment and concentration of a cleaning medium; constructing a vector according to the characteristic information of the object to be cleaned to obtain a material characteristic vector; calculating according to the material characteristic vector to obtain a material characteristic parameter of the object to be cleaned; calculating a pollution factor according to the material characteristic vector and the material characteristic parameter to obtain a pollution factor of the object to be cleaned; calculating a pollution degree according to the pollution factor to obtain a pollution degree value of the object to be cleaned; performing a pollution type judgment operation according to the pollution degree value to obtain a pollution type of the object to be cleaned; calculating according to the output power, the cleaning medium concentration and the pollution degree value to obtain a power parameter of the cleaning equipment; performing a pollution control calculation according to the material characteristic parameter and the pollution factor to obtain a pollution control parameter; performing a cleaning control calculation according to the pollution control parameter, the power parameter and the pollution factor to obtain an optimal cleaning control parameter; matching according to the pollution type and the optimal cleaning control parameter to obtain an optimal cleaning mode of the cleaning equipment, so as to control the operation of the cleaning equipment according to the optimal cleaning mode.

[0020] The method is executed by a computer, and first obtains the characteristic information of the object to be cleaned, the output power of the cleaning equipment, and the concentration of the cleaning medium. Then, a material characteristic vector is constructed based on the characteristics of the object and the material characteristic parameters are calculated. Then, the pollution factor is calculated in combination with the material characteristic vector and the parameters, and the degree and type of pollution are evaluated accordingly. The power parameters of the cleaning equipment are then calculated based on the output power, medium concentration, and degree of pollution, and the pollution control parameters are determined using the material characteristic parameters and the pollution factor. Finally, the optimal cleaning control parameters are obtained by combining the pollution control parameters, power parameters, and pollution factors, and matched with the pollution type to determine the optimal cleaning mode of the cleaning equipment, thereby controlling the operation of the equipment. The method can select the optimal cleaning control parameters based on multiple factors such as the material, degree of pollution, and cleaning power of the cleaning object, match them based on the optimal cleaning control parameters, and obtain the optimal cleaning mode of the cleaning equipment, so as to control the operation of the cleaning equipment according to the optimal cleaning mode. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a schematic flow chart of a control method of an ultrasonic cleaning device provided by the first embodiment of the present invention; Figure 2 It is a schematic diagram of the control system structure of an ultrasonic cleaning device provided by the second embodiment of the present invention. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] Reference Figure 1 The first embodiment of the present invention provides a control method for ultrasonic cleaning equipment, comprising the following steps: S11, obtaining characteristic information of the object to be cleaned, output power of the cleaning equipment and concentration of the cleaning medium; S12, constructing a vector according to the feature information of the cleaned object to obtain a material feature vector; S13, calculating according to the material feature vector to obtain material feature parameters of the object to be cleaned; S14, calculating the contamination factor according to the material feature vector and the material feature parameter to obtain the contamination factor of the cleaned article; S15, calculating the contamination degree according to the contamination factor to obtain a contamination degree value of the cleaned article; S16, performing a pollution type determination operation according to the pollution degree value to obtain the pollution type of the cleaned article; S17, calculating according to the output power, the cleaning medium concentration and the pollution degree value to obtain a power parameter of the cleaning equipment; S18, performing pollution control calculation according to the material characteristic parameters and the pollution factor to obtain pollution control parameters; S19, performing cleaning control calculation according to the pollution control parameter, the power parameter and the pollution factor to obtain an optimal cleaning control parameter; S20, matching the pollution type with the optimal cleaning control parameter to obtain an optimal cleaning mode of the cleaning device, so as to control the operation of the cleaning device according to the optimal cleaning mode.

[0024] In step S11, characteristic information of the object to be cleaned, output power of the cleaning equipment and concentration of the cleaning medium are obtained.

[0025] It should be noted that the characteristic information of the cleaned object, the output power of the cleaning equipment and the concentration of the cleaning medium are all obtained through the data acquisition module.

[0026] In one implementation, by collecting the physical and chemical properties of the cleaned items, including 13 parameters such as melting point, freezing point, heat of fusion, latent heat of solidification, surface tension, viscosity, density, heat transfer coefficient, specific heat, solubility, viscosity, interfacial tension and surface temperature, these parameters are the characteristic information of the cleaned items, and these parameters also constitute the material characteristic vector of the cleaned items.

[0027] In one implementation, the output power of the cleaning device can be calculated by directly measuring the input voltage and current of the ultrasonic generator through a power meter measurement method. The power meter measurement method is a technology for accurately measuring the output power of ultrasonic cleaning equipment, using a high-frequency power meter to directly measure the electrical power input to the vibrator. The vibrator is a key component that converts electrical energy into mechanical energy (i.e., ultrasonic waves). This method involves directly connecting a power meter to the vibrator to measure the electrical power it consumes. Connect a high-frequency power meter to the power input of the vibrator, turn on the ultrasonic cleaning equipment, let the vibrator start working, and read the power value displayed on the power meter. This value represents the electrical power consumed by the vibrator, which is a direct measurement result of the vibrator converting electrical energy into ultrasonic energy, thereby directly obtaining the output power of the cleaning device. At the same time, since the conversion efficiency of the vibrator is not 100%, the measured value needs to be adjusted according to the efficiency of the vibrator to obtain the actual ultrasonic output power. If the efficiency of the vibrator is low, the actual output ultrasonic power will be lower than the measured electrical power, and the efficiency of the vibrator needs to be improved. The standard value of the vibrator efficiency is 70%, and the measured value is adjusted by calculating the efficiency of the vibrator in real time.

[0028] In one implementation, the cleaning medium concentration can be obtained by the TOC value method, which is a method for identifying the type and concentration of detergent by measuring the total organic carbon content in the cleaning medium. The basic principle is to oxidize organic matter and then detect the carbon dioxide produced by oxidation. Common oxidation methods include high-temperature oxidation, supercritical oxidation, ultraviolet oxidation, etc., and the detection methods mainly include non-dispersive infrared detection (NDIR), direct conductivity detection, etc. The samples are introduced into the high-temperature combustion tube and the low-temperature reaction tube respectively. The samples in the high-temperature combustion tube are catalytically oxidized at high temperature, and the organic carbon and inorganic carbon therein are converted into carbon dioxide. After the samples in the low-temperature reaction tube are acidified, the inorganic carbon therein is decomposed into carbon dioxide. The carbon dioxide generated in the two reaction tubes is introduced into the non-dispersive infrared detector respectively, and the infrared absorption intensity of carbon dioxide at a specific wavelength is proportional to its mass concentration, so as to quantitatively determine the total carbon and inorganic carbon in the sample. The difference between the total carbon and the inorganic carbon is the total organic carbon. The cleaning medium concentration is obtained by comparing and analyzing the value of the total organic carbon. For example, when the total organic carbon value is 14.45 mg / L, the cleaning medium concentration is 72.25%; when the total organic carbon value is 18.53 mg / L, the cleaning medium concentration is 92.65%; when the total organic carbon value is 8.42 mg / L, the cleaning medium concentration is 42.10%.

[0029] In step S12, a vector is constructed according to the feature information of the cleaned object to obtain a material feature vector.

[0030] It should be noted that the material feature vector is constructed based on the melting point, freezing point, melting heat, latent heat of solidification, surface tension, viscosity, density, heat transfer coefficient, specific heat, solubility, viscosity, interfacial tension and surface temperature of the cleaning object. .

[0031] In the formula, They are the melting point, freezing point, heat of fusion, latent heat of solidification, surface tension, viscosity, density, heat transfer coefficient, specific heat, solubility, viscosity, interfacial tension and surface temperature of the items being cleaned.

[0032] In step S13, calculation is performed based on the material feature vector to obtain material feature parameters of the cleaned object.

[0033] The material characteristic parameters of the cleaned items are calculated using the following formula: In the formula, It is the material characteristic parameter.

[0034] It should be noted that the formula for calculating material characteristic parameters is The material characteristic parameters of the cleaned items are combined into a single parameter by means of the geometric mean. The material characteristic parameter represents 13 different physical and chemical properties of the cleaned items. The formula uses the geometric mean instead of the arithmetic mean because the geometric mean is more appropriate when dealing with data with different dimensions and ranges, as it can reduce the impact of extreme values ​​and provide a more stable average when the data distribution is uneven. At the same time, the formula takes all the properties into consideration. By multiplying all 13 properties and then taking the 13th root, the formula ensures that each property contributes to the final material characteristic parameter. This can avoid any one attribute from having a dominant influence on the result, thereby more comprehensively reflecting the comprehensive characteristics of the material.

[0035] In step S14, the contamination factor is calculated according to the material feature vector and the material feature parameter to obtain the contamination factor of the cleaned article.

[0036] The pollution factor is calculated by the following formula: In the formula, is the pollution factor, is the material characteristic parameter, For the A material feature vector.

[0037] It should be noted that this formula is obtained by substituting the material characteristic parameters With each material feature vector After multiplication and summing, the contribution of all relevant attributes to the pollution factor is comprehensively considered. This method can reflect the impact of the material characteristics of the cleaned items on the degree of pollution. The impact of each attribute is weighted by the material characteristic parameters, reflecting the difference in the contribution of different material characteristics to pollution. Pollution factor It is an important parameter to measure the cleaning effect and can be used as a basis for evaluating the efficiency of cleaning media and selecting cleaning strategies.

[0038] For example, when When, through the formula Calculate the material characteristic parameters and get , then calculated by the formula .

[0039] In step S15, the contamination degree is calculated according to the contamination factor to obtain the contamination degree value of the cleaned article.

[0040] The pollution degree value is calculated by the following formula: In the formula, is the contamination degree of the cleaned items, is the pollution factor, is the base of natural logarithms, is the attenuation rate, is the pollution factor coefficient.

[0041] It should be noted that this formula combines the pollution factor , attenuation rate and pollution factor coefficient The initial concentration of pollutants, the natural attenuation of pollutants by the environment, and the amplification effect of pollutants on the environment are comprehensively considered. It can also reflect the current pollution load of the environment. Describes the decay process of pollutants in the environment. Different environmental conditions, such as temperature, pH value, etc., will affect the decay rate The value of , thus affecting the calculation of the entire pollution degree value. Pollution factor coefficient Taking into account the cumulative effect of pollutants, the impact of pollutants is not a simple linear superposition, but an exponential growth with the increase of concentration. The introduction of enables the formula to capture this cumulative effect and more accurately calculate the pollution level. In addition, the application of the natural logarithm function enables the formula to handle pollution factors The exponential function describes the natural decay of pollution intensity over time. This decay is caused by the natural decomposition and dilution of pollutants. The exponential decay model is very effective in describing the decay phenomenon. The whole formula is a composite function that combines the two mathematical models of exponential decay and logarithmic growth. This allows the formula to capture both the decay of pollution over time and the cumulative effect of increasing load, thereby more accurately calculating the pollution level of the cleaned items.

[0042] For example, the decay rate The value range is 0.02~0.35, and the pollution factor coefficient The value range is 0 to 1.

[0043] In step S16, a pollution type determination operation is performed according to the pollution degree value to obtain the pollution type of the cleaned article.

[0044] when , then the pollution type is determined to be strong pollution; when , then the pollution type is determined to be medium pollution; when , then the pollution type is determined to be weak pollution; when , then the pollution type is determined to be weak pollution; in, is the contamination degree of the cleaned items, , , They are respectively the preset first pollution threshold, the second pollution threshold, and the third pollution threshold.

[0045] Exemplarily, the first contamination threshold The value is 1500, the second pollution threshold The value is 900, the third pollution threshold The value is 300. When the decay rate The value of is 0.05, and the pollution factor coefficient The value is 0.1 and the pollution factor When, through the formula It can be calculated .at this time, , so it can be judged that the pollution type is strong pollution.

[0046] In step S17, a calculation is performed based on the output power, the cleaning medium concentration and the contamination degree value to obtain a power parameter of the cleaning device.

[0047] The power parameters are calculated using the following formula: In the formula, is the power parameter of the cleaning equipment, is the contamination degree of the cleaned items, is the output power of the cleaning equipment, is the cleaning medium concentration, is the base of natural logarithms.

[0048] It should be noted that this formula takes into account the contamination level of the items being cleaned. , the output power of the cleaning equipment , cleaning medium concentration The impact on the cleaning effect is the impact on the power parameters of the cleaning equipment. The pollution degree value is an indicator to measure the pollution degree of the cleaned items. It directly affects the power parameters of the cleaning equipment. The higher the pollution degree, the greater the cleaning power required. The output power of the cleaning equipment determines the energy that the cleaning equipment can provide. The greater the output power, the faster the cleaning speed. The concentration of the cleaning medium reflects the strength of the cleaning medium. The higher the concentration of the cleaning medium, the better the cleaning effect, but too high a concentration will cause other problems, such as corrosion or contamination of the cleaned items. In addition, the relationship between the cleaning effect and the output power of the cleaning equipment and the concentration of the cleaning medium is nonlinear. The logarithmic function and exponential function in the formula introduce nonlinearity, which more truly reflects the complexity of the cleaning effect as the cleaning parameters change. At the same time, the attenuation of energy in the cleaning process is also considered. As the cleaning progresses, the contribution of the output power of the cleaning equipment and the concentration of the cleaning medium to the cleaning effect will gradually decrease. This attenuation effect is reflected by the exponential term. Moreover, after the introduction of logarithmic calculation, when the concentration of the cleaning medium increases, the cleaning effect will be significantly improved, but when the concentration reaches a certain level, the effect of increasing the concentration on the cleaning effect will gradually weaken. This formula takes into account the combined influence of various factors in the cleaning process. By introducing nonlinear and attenuation effects, it more accurately describes the relationship between the power parameters of the cleaning equipment and the cleaning effect, and then accurately calculates the power parameters of the cleaning equipment.

[0049] For example, the output power of the cleaning device It varies according to the type and size of the equipment. For example, for small ultrasonic cleaning equipment, the output power is between 100W-500W; for medium-sized cleaning equipment, the output power is between 500W-2000W; for large industrial cleaning equipment, the output power is between 2000W-10000W. The concentration of the cleaning medium The cleaning medium concentration is obtained by comparing and analyzing the total organic carbon value. For example, when the total organic carbon value is 14.45 mg / L, the cleaning medium concentration is 72.25%; when the total organic carbon value is 18.53 mg / L, the cleaning medium concentration is 92.65%; when the total organic carbon value is 8.42 mg / L, the cleaning medium concentration is 42.10%.

[0050] In step S18, pollution control calculation is performed according to the material characteristic parameters and the pollution factor to obtain pollution control parameters.

[0051] The pollution control parameters are calculated by the following formula: In the formula, is the pollution control parameter, is the material characteristic parameter, is the pollution factor, is the base of natural logarithms, is the number of material feature vectors.

[0052] It should be noted that through the above analysis and calculation, the pollution control parameters can be obtained by substituting various parameters When calculating, the formula takes into account the physical properties of the items being cleaned and the impact of pollution factors on pollution control. Item, due to The value ranges from 1 to 13. This exponential term varies with The nonlinear relationship simulates the pollution factor in the actual cleaning process. The impact on cleaning performance is complex and varied, and at the same time, this calculation method can capture the impact of different attributes on cleaning parameters, some of which are more sensitive to contamination control.

[0053] For example, suppose the equipment is cleaning a kind of delicate electronic components, which are very sensitive to thermal stress and chemical corrosion during the cleaning process. Among them, the material feature vector includes thirteen characteristics of the object being cleaned: melting point, freezing point, melting heat, latent heat of solidification, surface tension, viscosity, density, heat transfer coefficient, specific heat, solubility, viscosity, interfacial tension and surface temperature. Among these properties, the heat transfer coefficient and surface tension are particularly sensitive to the cleaning effect because they directly affect the wetting and heat transfer efficiency of the cleaning fluid on the surface of the electronic components. Assume and : For surface tension, , the calculated sub-item is: For the heat transfer coefficient, , the calculated sub-item is: Since during the calculation process, The index increases with decreases with the increase of and For the two parameters, their contribution will be relatively large compared to the other parameters because these properties are particularly sensitive to the cleaning effect.

[0054] In step S19, a cleaning control calculation is performed according to the pollution control parameter, the power parameter and the pollution factor to obtain an optimal cleaning control parameter.

[0055] The optimal cleaning control parameters are calculated by the following formula: In the formula, is the optimal cleaning control parameter, is the power parameter of the cleaning equipment, is the pollution control parameter, is the pollution factor.

[0056] It should be noted that, through the above analysis and calculation, the optimal cleaning control parameters can be obtained by substituting various parameters. This formula comprehensively considers the power parameters of the cleaning equipment. , pollution control parameters and pollution factors This comprehensive consideration can more comprehensively reflect the complexity of the cleaning process. The application of this allows the formula to handle and The logarithmic function is often used to deal with the growth rate problem in calculations, and to adjust the contribution of pollution control parameters and pollution factors to the calculation of cleaning parameters. In addition, the numerator in the formula It represents the product of the power parameter of the cleaning equipment, the comprehensive influence of the pollution control parameter and the pollution factor, while the denominator The logarithmic sum of the individual effects of the power parameters and contamination factors of the cleaning equipment ensures that the cleaning control parameters It can balance the power of the cleaning equipment and the severity of the pollution. Through this calculation method, an optimal cleaning control parameter can be obtained. , it can reduce energy consumption and damage to the cleaned items while ensuring the cleaning effect.

[0057] In step S20, the optimal cleaning mode of the cleaning device is obtained by matching the pollution type with the optimal cleaning control parameter, and the operation of the cleaning device is controlled according to the optimal cleaning mode.

[0058] When the pollution level type is strong pollution or the optimal cleaning control parameter is greater than the preset first parameter threshold, a strong power cleaning mode is adopted; When the pollution level type is medium pollution or the optimal cleaning control parameter is less than or equal to the preset first parameter threshold and greater than the second threshold, the medium power cleaning mode is adopted; When the pollution degree type is weak pollution or the optimal cleaning control parameter is less than or equal to the second parameter threshold and greater than the third threshold, the low-power cleaning mode is adopted; When the pollution degree type is weak pollution or the optimal cleaning control parameter is less than or equal to the third parameter threshold and greater than the fourth threshold, the ultra-low power cleaning mode is adopted; When the optimal cleaning control parameter is less than or equal to the fourth parameter threshold, cleaning is stopped.

[0059] It should be noted that when the degree of pollution is judged to be strong pollution, or the optimal cleaning control parameter is greater than the preset first parameter threshold, the strong power cleaning mode is selected. This mode is suitable for severe pollution and requires greater energy to effectively remove dirt. When the degree of pollution is judged to be medium pollution, and the optimal cleaning control parameter is less than or equal to the first parameter threshold but greater than the second parameter threshold, the medium power cleaning mode is selected. This mode is suitable for medium pollution and balances the cleaning effect and energy consumption. When the degree of pollution is judged to be weak pollution, and the optimal cleaning control parameter is less than or equal to the second parameter threshold but greater than the third parameter threshold, the low power cleaning mode is selected. This mode is suitable for slightly polluted situations and is cleaned with lower energy consumption. When the degree of pollution is judged to be weak pollution, and the optimal cleaning control parameter is less than or equal to the third parameter threshold but greater than the fourth parameter threshold, the ultra-low power cleaning mode is selected. This mode is suitable for almost no pollution or very slightly polluted situations to minimize energy consumption. When the optimal cleaning control parameter is less than or equal to the fourth parameter threshold, it is considered that the degree of pollution is extremely low or has reached the cleaning standard, and cleaning is stopped at this time to avoid unnecessary energy consumption and damage to the items being cleaned. In addition, for machines of different power, the setting of parameter thresholds is different. Four parameter thresholds need to be set according to the actual application scenario and equipment performance. These thresholds will determine the switching points of different cleaning modes.

[0060] Exemplarily, the first, second, third and fourth parameter thresholds are respectively set to 1000, 500, 200 and 50. Matching is performed in combination with the pollution degree type to obtain an optimal cleaning mode of the cleaning device, and the operation of the cleaning device is controlled according to the optimal cleaning mode.

[0061] For example, by the formula It can be calculated .at this time, , so it can be determined that the pollution type is strong pollution. Calculate , it is greater than the first parameter threshold, so the high-power cleaning mode is matched to control the operation of the cleaning equipment.

[0062] In summary, the present invention discloses a control method for ultrasonic cleaning equipment, which is characterized by comprising the steps of obtaining characteristic information of the object to be cleaned, the output power of the cleaning equipment and the concentration of the cleaning medium; constructing a vector according to the characteristic information of the object to be cleaned to obtain a material characteristic vector; calculating according to the material characteristic vector to obtain a material characteristic parameter of the object to be cleaned; calculating a pollution factor according to the material characteristic vector and the material characteristic parameter to obtain a pollution factor of the object to be cleaned; calculating a pollution degree according to the pollution factor to obtain a pollution degree value of the object to be cleaned; performing a pollution type judgment operation according to the pollution degree value to obtain a pollution type of the object to be cleaned; calculating according to the output power, the cleaning medium concentration and the pollution degree value to obtain a power parameter of the cleaning equipment; performing a pollution control calculation according to the material characteristic parameter and the pollution factor to obtain a pollution control parameter; performing a cleaning control calculation according to the pollution control parameter, the power parameter and the pollution factor to obtain an optimal cleaning control parameter; matching according to the pollution type and the optimal cleaning control parameter to obtain an optimal cleaning mode of the cleaning equipment, so as to control the operation of the cleaning equipment according to the optimal cleaning mode.

[0063] The method is executed by a computer, and first obtains the characteristic information of the object to be cleaned, the output power of the cleaning equipment, and the concentration of the cleaning medium. Then, a material characteristic vector is constructed based on the characteristics of the object and the material characteristic parameters are calculated. Then, the pollution factor is calculated in combination with the material characteristic vector and the parameters, and the degree and type of pollution are evaluated accordingly. The power parameters of the cleaning equipment are then calculated based on the output power, medium concentration, and degree of pollution, and the pollution control parameters are determined using the material characteristic parameters and the pollution factor. Finally, the optimal cleaning control parameters are obtained by combining the pollution control parameters, power parameters, and pollution factors, and matched with the pollution type to determine the optimal cleaning mode of the cleaning equipment, thereby controlling the operation of the equipment. The method can select the optimal cleaning control parameters based on multiple factors such as the material, degree of pollution, and cleaning power of the cleaning object, match them based on the optimal cleaning control parameters, and obtain the optimal cleaning mode of the cleaning equipment, so as to control the operation of the cleaning equipment according to the optimal cleaning mode.

[0064] Reference Figure 2 The second embodiment of the present invention provides a control system for ultrasonic cleaning equipment, comprising: A data acquisition module is used to obtain characteristic information of the cleaned object, the output power of the cleaning equipment and the concentration of the cleaning medium; A feature vector construction module is used to construct a vector according to the feature information of the cleaned object to obtain a material feature vector; A characteristic parameter calculation module, used to calculate according to the material characteristic vector to obtain the material characteristic parameters of the cleaned object; A pollution factor calculation module, used to calculate the pollution factor according to the material feature vector and the material feature parameter to obtain the pollution factor of the cleaned article; A pollution degree calculation module, used to calculate the pollution degree according to the pollution factor to obtain the pollution degree value of the cleaned article; A pollution type judgment module, used to perform pollution type judgment operation according to the pollution degree value to obtain the pollution type of the cleaned article; A power parameter calculation module, used to calculate according to the output power, the cleaning medium concentration and the pollution degree value to obtain the power parameter of the cleaning equipment; A control parameter calculation module, used to perform pollution control calculation according to the material characteristic parameters and the pollution factor to obtain pollution control parameters; An optimal parameter calculation module, used to perform cleaning control calculation according to the pollution control parameter, the power parameter and the pollution factor to obtain an optimal cleaning control parameter; The cleaning mode matching module is used to match the pollution type with the optimal cleaning control parameter to obtain the optimal cleaning mode of the cleaning equipment, and control the operation of the cleaning equipment according to the optimal cleaning mode.

[0065] It should be noted that the control device of an ultrasonic cleaning equipment provided in an embodiment of the present invention is used to execute all process steps of a control method of an ultrasonic cleaning equipment in the above embodiment, and the working principles and beneficial effects of the two correspond one to one, so they will not be repeated.

[0066] The present invention also provides a cleaning device, comprising a control system of any one of the ultrasonic cleaning devices described above.

[0067] The embodiment of the present invention further provides an electronic device. The electronic device includes: a processor, a memory, and a computer program stored in the memory and executable on the processor, such as a control program for an ultrasonic cleaning device. When the processor executes the computer program, the steps in the above-mentioned control method embodiments of the ultrasonic cleaning device are implemented, such as Figure 1 Alternatively, when the processor executes the computer program, the functions of each module / unit in the above-mentioned device embodiments are realized, such as the data acquisition module.

[0068] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program in the electronic device.

[0069] The electronic device may be a computing device such as a desktop computer, a notebook, a PDA, and a smart tablet. The electronic device may include, but is not limited to, a processor and a memory. Those skilled in the art will appreciate that the above components are merely examples of electronic devices and do not constitute a limitation on the electronic device. The electronic device may include more or fewer components than the above components, or may combine certain components, or different components. For example, the electronic device may also include input and output devices, network access devices, buses, etc.

[0070] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the electronic device, and uses various interfaces and lines to connect various parts of the entire electronic device.

[0071] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the electronic device by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0072] Wherein, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0073] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0074] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A control method for ultrasonic cleaning equipment, characterized in that: include: Obtaining characteristic information of the items being cleaned, the output power of the cleaning equipment, and the concentration of the cleaning medium; Constructing a vector according to the feature information of the cleaned object to obtain a material feature vector; Calculating according to the material feature vector to obtain material feature parameters of the object to be cleaned; Calculate the pollution factor according to the material feature vector and the material feature parameter to obtain the pollution factor of the cleaned article; Calculate the contamination degree according to the contamination factor to obtain the contamination degree value of the cleaned article; Performing a pollution type determination operation according to the pollution degree value to obtain the pollution type of the cleaned article; Calculating according to the output power, the cleaning medium concentration and the contamination degree value to obtain a power parameter of the cleaning equipment; Perform pollution control calculation according to the material characteristic parameters and the pollution factor to obtain pollution control parameters; Perform cleaning control calculation according to the pollution control parameter, the power parameter and the pollution factor to obtain the optimal cleaning control parameter; The optimal cleaning mode of the cleaning device is obtained by matching the pollution type with the optimal cleaning control parameter, so as to control the operation of the cleaning device according to the optimal cleaning mode.

2. The control method of ultrasonic cleaning equipment according to claim 1, characterized in that: The step of calculating according to the material feature vector to obtain the material feature parameters of the object to be cleaned includes: The material characteristic parameters of the cleaned items are calculated using the following formula: In the formula, is the material characteristic parameter; is the material feature vector, They are the melting point, freezing point, heat of fusion, latent heat of solidification, surface tension, viscosity, density, heat transfer coefficient, specific heat, solubility, viscosity, interfacial tension and surface temperature of the items being cleaned.

3. The control method of ultrasonic cleaning equipment according to claim 2, characterized in that: The calculating of the pollution factor according to the material feature vector and the material feature parameter to obtain the pollution factor of the cleaned article includes: The pollution factor is calculated by the following formula: In the formula, is the pollution factor, is the material characteristic parameter, For the A material feature vector.

4. The control method of ultrasonic cleaning equipment according to claim 1, characterized in that: The step of calculating the degree of contamination according to the contamination factor to obtain the degree of contamination of the cleaned article includes: The pollution degree value is calculated by the following formula: In the formula, is the contamination degree of the cleaned items, is the pollution factor, is the base of natural logarithms, is the attenuation rate, is the pollution factor coefficient.

5. The control method of ultrasonic cleaning equipment according to claim 4, characterized in that: The step of performing a pollution type determination operation according to the pollution degree value to obtain the pollution type of the cleaned article includes: when , then the pollution type is determined to be strong pollution; when , then the pollution type is determined to be medium pollution; when , then the pollution type is determined to be weak pollution; when , then the pollution type is determined to be weak pollution; in, is the contamination degree of the cleaned items, , , They are respectively the preset first pollution threshold, the second pollution threshold, and the third pollution threshold.

6. The control method of ultrasonic cleaning equipment according to claim 1, characterized in that: The calculation according to the output power, the cleaning medium concentration and the pollution degree value to obtain the power parameter of the cleaning equipment includes: The power parameters are calculated by the following formula: In the formula, is the power parameter of the cleaning equipment, is the contamination degree of the cleaned items, is the output power of the cleaning equipment, is the cleaning medium concentration, is the base of natural logarithms.

7. The control method of ultrasonic cleaning equipment according to claim 1, characterized in that: The pollution control calculation is performed according to the material characteristic parameters and the pollution factor to obtain the pollution control parameters, including: The pollution control parameters are calculated by the following formula: In the formula, is the pollution control parameter, is the material characteristic parameter, is the pollution factor, is the base of natural logarithms, is the number of material feature vectors.

8. The control method of ultrasonic cleaning equipment according to claim 1, characterized in that: The performing cleaning control calculation according to the pollution control parameter, the power parameter and the pollution factor to obtain the optimal cleaning control parameter includes: The optimal cleaning control parameters are calculated by the following formula: In the formula, is the optimal cleaning control parameter, is the power parameter of the cleaning equipment, is the pollution control parameter, is the pollution factor.

9. The control method of ultrasonic cleaning equipment according to claim 1, characterized in that: The matching of the pollution type and the optimal cleaning control parameter to obtain an optimal cleaning mode for the cleaning device, and controlling the operation of the cleaning device according to the optimal cleaning mode specifically includes: When the pollution degree type is strong pollution or the optimal cleaning control parameter is greater than the preset first parameter threshold, the strong power cleaning mode is adopted; When the pollution level type is medium pollution or the optimal cleaning control parameter is less than or equal to the preset first parameter threshold and greater than the second threshold, the medium power cleaning mode is adopted; When the pollution degree type is weak pollution or the optimal cleaning control parameter is less than or equal to the second parameter threshold and greater than the third threshold, the low-power cleaning mode is adopted; When the pollution degree type is weak pollution or the optimal cleaning control parameter is less than or equal to the third parameter threshold and greater than the fourth threshold, the ultra-low power cleaning mode is adopted; When the optimal cleaning control parameter is less than or equal to the fourth parameter threshold, cleaning is stopped.

10. A control system for ultrasonic cleaning equipment, characterized in that: include: A data acquisition module is used to obtain characteristic information of the cleaned object, the output power of the cleaning equipment and the concentration of the cleaning medium; A feature vector construction module is used to construct a vector according to the feature information of the cleaned object to obtain a material feature vector; A characteristic parameter calculation module, used to calculate according to the material characteristic vector to obtain the material characteristic parameters of the cleaned object; A pollution factor calculation module, used to calculate the pollution factor according to the material feature vector and the material feature parameter to obtain the pollution factor of the cleaned article; A pollution degree calculation module, used to calculate the pollution degree according to the pollution factor to obtain the pollution degree value of the cleaned article; A pollution type judgment module, used to perform pollution type judgment operation according to the pollution degree value to obtain the pollution type of the cleaned article; A power parameter calculation module, used to calculate according to the output power, the cleaning medium concentration and the pollution degree value to obtain the power parameter of the cleaning equipment; A control parameter calculation module, used to perform pollution control calculation according to the material characteristic parameters and the pollution factor to obtain pollution control parameters; An optimal parameter calculation module, used to perform cleaning control calculation according to the pollution control parameter, the power parameter and the pollution factor to obtain an optimal cleaning control parameter; The cleaning mode matching module is used to match the pollution type with the optimal cleaning control parameter to obtain the optimal cleaning mode of the cleaning equipment, and control the operation of the cleaning equipment according to the optimal cleaning mode.

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