Control method, system and cleaning equipment of ultrasonic cleaning equipment

Abstract

The present invention relates to the field of intelligent control technology, and in particular to a control method, system, and cleaning device for ultrasonic cleaning equipment. The method comprises obtaining characteristic information of an object to be cleaned, the output power of the cleaning device, and the concentration of a cleaning medium; constructing a material characteristic vector based on the characteristic information of the object to be cleaned; calculating material characteristic parameters based on the material characteristic vector; calculating a contamination factor based on the material characteristic vector and the material characteristic parameters; calculating a contamination degree value based on the contamination factor; determining the type of contamination based on the contamination degree value; calculating a power parameter based on the output power, the concentration of the cleaning medium, and the contamination degree value; calculating a contamination control parameter based on the material characteristic parameter and the contamination factor; calculating an optimal cleaning control parameter based on the contamination control parameter, the power parameter, and the contamination factor; and matching an optimal cleaning mode based on the contamination type and the optimal cleaning control parameter. This method can select the optimal cleaning parameters to clean the object to be cleaned.

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] Ultrasonic cleaning technology, as an advanced cleaning method, has experienced rapid growth in recent years due to its high efficiency, energy-saving, and environmentally friendly characteristics. This technology utilizes ultrasonic energy to exert force on dirt particles, detaching them from the surface they adhere to, thereby achieving the desired cleaning effect. Ultrasonic cleaning technology can be performed not only in aqueous environments but also in waterless environments, eliminating the need for chemical detergents, making it an ideal environmentally friendly cleaning method.

[0003] In existing technology, most ultrasonic cleaning equipment operates in a relatively simple mode, offering only a few cleaning modes, such as "Fast," "Standard," and "Thorough." In practice, users can only select the "Standard" or "Thorough" mode, whereupon the device begins cleaning at a constant power level until the cleaning is complete. This simple cleaning mode selection method fails to fully consider the impact of various factors on cleaning performance, including the material of the item being cleaned, the degree of contamination, the water supply, and the cleaning power.

[0004] However, if the material of the items to be cleaned, the degree of contamination, the cleaning power and other factors are not considered, the same parameters will be used to clean the clothes, while the types and attachment conditions of the stains on each item to be cleaned 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 selects optimal cleaning control parameters based on multiple factors such as the material of the cleaning items, the degree of contamination and the cleaning power, and matches 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:

[0007] Obtaining characteristic information of the items being cleaned, the output power of the cleaning equipment, and the concentration of the cleaning medium;

[0008] Constructing a vector based on the feature information of the cleaned object to obtain a material feature vector;

[0009] Calculating according to the material feature vector to obtain material feature parameters of the item to be cleaned;

[0010] Calculating the pollution factor according to the material feature vector and the material feature parameter to obtain the pollution factor of the cleaned article;

[0011] Calculating the degree of contamination based on the contamination factor to obtain a contamination degree value of the cleaned article;

[0012] Performing a pollution type judgment operation according to the pollution degree value to obtain the pollution type of the cleaned article;

[0013] Calculating according to the output power, the cleaning medium concentration and the pollution degree value to obtain the power parameter of the cleaning equipment;

[0014] Perform pollution control calculation according to the material characteristic parameters and the pollution factor to obtain pollution control parameters;

[0015] Performing cleaning control calculations based on the pollution control parameters, the power parameters, and the pollution factors to obtain optimal cleaning control parameters;

[0016] Matching is performed between the pollution type and the optimal cleaning control parameter to obtain an optimal cleaning mode for the cleaning device, so as to control the operation of the cleaning device according to the optimal cleaning mode.

[0017] In an optional embodiment, the calculating based on the material feature vector to obtain the material feature parameters of the cleaned item includes:

[0018] The material characteristic parameters of the items being cleaned are calculated using the following formula:

[0019]

[0020]

[0021] Where, 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, interfacial tension and surface temperature of the item being cleaned.

[0022] In an optional embodiment, the calculating of the contamination factor according to the material feature vector and the material feature parameter to obtain the contamination factor of the cleaned article includes:

[0023] The pollution factor is calculated using the following formula:

[0024]

[0025] Where, is the pollution factor, is the material characteristic parameter, For the A material feature vector.

[0026] In an optional embodiment, the calculating the contamination degree according to the contamination factor to obtain the contamination degree value of the cleaned article includes:

[0027] The pollution degree value is calculated using the following formula:

[0028]

[0029] Where, 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.

[0030] In an optional embodiment, performing a pollution type determination operation based on the pollution degree value to obtain the pollution type of the cleaned article includes:

[0031] when , then the pollution type is determined to be strong pollution;

[0032] when , then the pollution type is determined to be medium pollution;

[0033] when , then the pollution type is determined to be weak pollution;

[0034] when , then the pollution type is determined to be weak pollution;

[0035] 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.

[0036] In an optional embodiment, the calculation based on the output power, the cleaning medium concentration, and the pollution level value to obtain the power parameter of the cleaning equipment includes:

[0037] The power parameters are calculated using the following formula:

[0038]

[0039] Where, 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.

[0040] In an optional embodiment, performing pollution control calculation according to the material characteristic parameters and the pollution factor to obtain pollution control parameters includes:

[0041] The pollution control parameters are calculated using the following formula:

[0042]

[0043] Where, 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.

[0044] In an optional embodiment, 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:

[0045] The optimal cleaning control parameters are calculated by the following formula:

[0046]

[0047] Where, is the optimal cleaning control parameter, is the power parameter of the cleaning equipment, is the pollution control parameter, For pollution factors.

[0048] In an optional embodiment, matching the pollution type with 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:

[0049] When the pollution level is high pollution or the optimal cleaning control parameter is greater than the preset first parameter threshold, the high power cleaning mode is adopted;

[0050] When the pollution level 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;

[0051] When the pollution level 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;

[0052] When the pollution level 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;

[0053] When the optimal cleaning control parameter is less than or equal to the fourth parameter threshold, cleaning is stopped.

[0054] In a second aspect, the present invention provides a control system for ultrasonic cleaning equipment, comprising:

[0055] A data acquisition module is used to obtain characteristic information of the cleaned items, the output power of the cleaning equipment, and the concentration of the cleaning medium;

[0056] A feature vector construction module is used to construct a vector based on the feature information of the cleaned object to obtain a material feature vector;

[0057] A characteristic parameter calculation module, configured to calculate the material characteristic parameters of the cleaned article based on the material characteristic vector;

[0058] a pollution factor calculation module, configured 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;

[0059] A pollution degree calculation module is used to calculate the pollution degree according to the pollution factor to obtain the pollution degree value of the cleaned article;

[0060] A pollution type judgment module is used to perform a pollution type judgment operation according to the pollution degree value to obtain the pollution type of the cleaned article;

[0061] a power parameter calculation module, configured to calculate the power parameters of the cleaning equipment according to the output power, the cleaning medium concentration, and the pollution degree value;

[0062] A control parameter calculation module, configured to perform pollution control calculations based on the material characteristic parameters and the pollution factors to obtain pollution control parameters;

[0063] an optimal parameter calculation module, configured to perform cleaning control calculations based on the pollution control parameters, the power parameters, and the pollution factors to obtain optimal cleaning control parameters;

[0064] 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] In a third aspect, the present invention also 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 above.

[0066] In a fourth aspect, the present invention also 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 above.

[0067] In a fifth aspect, the present invention further provides a cleaning device, comprising a control system of any one of the ultrasonic cleaning devices described above.

[0068] Compared with the prior art, the present invention has the following beneficial effects:

[0069] The present invention discloses a control method for ultrasonic cleaning equipment, which is characterized by comprising the following steps: obtaining characteristic information of an object to be cleaned, an output power of the cleaning equipment, and a cleaning medium concentration; constructing a vector according to the characteristic information of the object to be cleaned to obtain a material characteristic vector; performing calculation according to the material characteristic vector to obtain a material characteristic parameter of the object to be cleaned; performing pollution factor calculation according to the material characteristic vector and the material characteristic parameter to obtain a pollution factor of the object to be cleaned; performing pollution degree calculation 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; performing calculation according to the output power, the cleaning medium concentration, and the pollution degree value to obtain a power parameter of the cleaning equipment; performing pollution control calculation according to the material characteristic parameter and the pollution factor to obtain a pollution control parameter; performing cleaning control calculation according to the pollution control parameter, the power parameter, and the pollution factor to obtain an optimal cleaning control parameter; performing 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.

[0070] The method is executed by a computer, first obtaining characteristic information of the item being cleaned, the output power of the cleaning equipment, and the concentration of the cleaning medium. A material characteristic vector is then constructed based on the item characteristics and the material characteristic parameters are calculated. The pollution factor is then calculated using the material characteristic vector and 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 pollution factors. Finally, the optimal cleaning control parameters are derived by combining the pollution control parameters, power parameters, and pollution factors, and matched with the pollution type to determine the optimal cleaning mode for the cleaning equipment, thereby controlling the operation of the equipment. The method can select the optimal cleaning control parameters based on a variety of factors, such as the material of the item being cleaned, the degree of pollution, and the cleaning power. Matching is performed based on the optimal cleaning control parameters to obtain the optimal cleaning mode for the cleaning equipment, so that the operation of the cleaning equipment can be controlled according to the optimal cleaning mode. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 This is a flow chart of a control method for ultrasonic cleaning equipment provided by the first embodiment of the present invention;

[0072] 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

[0073] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0074] Reference Figure 1 The first embodiment of the present invention provides a control method for ultrasonic cleaning equipment, comprising the following steps:

[0075] S11, obtaining characteristic information of the object to be cleaned, output power of the cleaning equipment, and concentration of the cleaning medium;

[0076] S12, constructing a vector based on the feature information of the cleaned object to obtain a material feature vector;

[0077] S13, performing calculations based on the material feature vector to obtain material feature parameters of the item to be cleaned;

[0078] S14, calculating a contamination factor based on the material feature vector and the material feature parameter to obtain a contamination factor of the cleaned article;

[0079] S15, calculating the contamination degree according to the contamination factor to obtain a contamination degree value of the cleaned article;

[0080] S16, performing a pollution type determination operation based on the pollution degree value to obtain the pollution type of the cleaned article;

[0081] S17, calculating according to the output power, the cleaning medium concentration and the pollution level value to obtain a power parameter of the cleaning equipment;

[0082] S18, performing pollution control calculation based on the material characteristic parameters and the pollution factor to obtain pollution control parameters;

[0083] S19, performing cleaning control calculation according to the pollution control parameter, the power parameter, and the pollution factor to obtain optimal cleaning control parameters;

[0084] S20: Matching the pollution type with 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.

[0085] 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.

[0086] 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.

[0087] In one implementation, the physical and chemical properties of the items being cleaned are collected, including 12 parameters: melting point, freezing point, heat of fusion, latent heat of solidification, surface tension, viscosity, density, heat transfer coefficient, specific heat, solubility, interfacial tension, and surface temperature. These parameters are the characteristic information of the items being cleaned, and these parameters also constitute the material characteristic vector of the items being cleaned.

[0088] In one implementation, the output power of a cleaning device can be calculated using a power meter method by directly measuring the input voltage and current of the ultrasonic generator. This method accurately measures 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 the high-frequency power meter to the vibrator's power input, turn on the ultrasonic cleaning device, and read the power value displayed on the power meter. This value represents the electrical power consumed by the vibrator and is a direct measurement of the vibrator's conversion of electrical energy into ultrasonic energy, providing a direct indicator of the cleaning device's output power. Since the vibrator's conversion efficiency is not 100%, the measured value needs to be adjusted based on the vibrator's efficiency to determine the actual ultrasonic output power. If the vibrator's efficiency is low, the actual ultrasonic output power will be lower than the measured electrical power. In this case, the vibrator's efficiency needs to be improved. The standard value for vibrator efficiency is 70%. The measured value is adjusted by calculating the vibrator's efficiency in real time.

[0089] In one implementation, the cleaning medium concentration can be determined using the TOC method. This method identifies the detergent type and concentration by measuring the total organic carbon (TOC) content in the cleaning medium. The basic principle is to oxidize organic matter and then detect the carbon dioxide produced. Common oxidation methods include high-temperature oxidation, supercritical oxidation, and ultraviolet oxidation, while detection methods primarily include non-dispersive infrared (NDIR) and direct conductivity detection. The sample is introduced into a high-temperature combustion tube and a low-temperature reaction tube, respectively. The sample in the high-temperature combustion tube undergoes high-temperature catalytic oxidation, converting both organic and inorganic carbon into carbon dioxide. The sample in the low-temperature reaction tube is acidified, decomposing the inorganic carbon into carbon dioxide. The carbon dioxide generated in each reaction tube is introduced into a non-dispersive infrared detector. The infrared absorption intensity of carbon dioxide at a specific wavelength is proportional to its mass concentration, allowing for quantitative determination of the total carbon and inorganic carbon in the sample. The difference between the total carbon and inorganic carbon is the total organic carbon (TOC). Comparative analysis of the TOC values ​​reveals the cleaning medium concentration. 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%.

[0090] In step S12, a vector is constructed based on the feature information of the cleaned object to obtain a material feature vector.

[0091] 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, interfacial tension and surface temperature of the cleaning items. .

[0092]

[0093] Where, They are the melting point, freezing point, heat of fusion, latent heat of solidification, surface tension, viscosity, density, heat transfer coefficient, specific heat, solubility, interfacial tension and surface temperature of the item being cleaned.

[0094] In step S13, calculation is performed based on the material feature vector to obtain material feature parameters of the object to be cleaned.

[0095] The material characteristic parameters of the items being cleaned are calculated using the following formula:

[0096]

[0097] Where, It is the material characteristic parameter.

[0098] 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 parameters represent 12 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 value when the data distribution is uneven. At the same time, the formula takes all properties into consideration. By multiplying all 12 properties and then taking the 12th 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 results, thereby more comprehensively reflecting the comprehensive characteristics of the material.

[0099] In step S14, a contamination factor is calculated based on the material feature vector and the material feature parameters to obtain the contamination factor of the cleaned article.

[0100] The pollution factor is calculated using the following formula:

[0101]

[0102] Where, is the pollution factor, is the material characteristic parameter, For the A material feature vector.

[0103] It should be noted that this formula is obtained by transforming the material characteristic parameters With each material feature vector The sum of the multiplications takes into account the contribution of all relevant attributes to the pollution factor. This method can reflect the impact of the material characteristics of the items being cleaned on the degree of pollution. The impact of each attribute is weighted by the material characteristic parameters, reflecting the differences in the contribution of different material characteristics to pollution. Pollution factor It is an important parameter for measuring cleaning effect and can be used as a basis for evaluating cleaning medium efficiency and selecting cleaning strategies.

[0104] For example, when When, through the formula Calculate the material characteristic parameters and get , then calculated by the formula .

[0105] In step S15, the pollution degree is calculated according to the pollution factor to obtain the pollution degree value of the cleaned article.

[0106] The pollution degree value is calculated using the following formula:

[0107]

[0108] Where, 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.

[0109] It should be noted that this formula combines the pollution factor , attenuation rate and pollution factor coefficient , taking into account the initial concentration of pollutants, the natural attenuation of pollutants by the environment, and the amplification effect of pollutants on the environment, the pollution factor 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 and pH value, 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 nonlinear variation of the contamination level helps to understand the complex dynamics of contamination levels as the pollution load increases. The exponential function describes the natural decay of contamination intensity over time. This decay is caused by factors such as the natural decomposition and dilution of pollutants. The exponential decay model is very effective in describing this decay phenomenon. The entire formula is a composite function that combines the mathematical models of exponential decay and logarithmic growth. This allows the formula to capture both the decay of contamination over time and the cumulative effect of increasing load, thereby more accurately calculating the contamination level of the cleaned items.

[0110] 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.

[0111] In step S16, a pollution type determination operation is performed based on the pollution degree value to obtain the pollution type of the cleaned article.

[0112] when , then the pollution type is determined to be strong pollution;

[0113] when , then the pollution type is determined to be medium pollution;

[0114] when , then the pollution type is determined to be weak pollution;

[0115] when , then the pollution type is determined to be weak pollution;

[0116] 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.

[0117] For example, the first pollution 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, the pollution factor coefficient The value is 0.1 and the pollution factor When, through the formula Can be calculated .at this time, , so it can be determined that the pollution type is strong pollution.

[0118] In step S17 , calculation is performed based on the output power, the cleaning medium concentration, and the pollution level value to obtain power parameters of the cleaning equipment.

[0119] The power parameters are calculated using the following formula:

[0120]

[0121] Where, 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.

[0122] 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 cleaning performance, specifically the power parameters of the cleaning equipment, is crucial. The contamination level is a measure of the degree of contamination on the items being cleaned. It directly affects the power parameters of the cleaning equipment. Higher contamination levels require greater cleaning power. The output power of the cleaning equipment determines the energy it can provide; higher output power results in faster cleaning. The cleaning medium concentration reflects the strength of the cleaning medium. Higher concentrations improve cleaning performance, but excessive concentrations can lead to other problems, such as corrosion or contamination of the items being cleaned. Furthermore, the relationship between cleaning performance and both the output power and concentration is nonlinear. The logarithmic and exponential functions in the formula introduce nonlinearity to more accurately reflect the complexity of cleaning performance as cleaning parameters vary. Energy decay during the cleaning process is also considered. As cleaning progresses, the contribution of the cleaning equipment output power and cleaning medium concentration to cleaning performance gradually decreases, a decay effect captured by the exponential term. Furthermore, the introduction of logarithmic calculations reveals that increasing cleaning medium concentration significantly improves cleaning performance, but after reaching a certain level, the effect of increasing concentration gradually diminishes. 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.

[0123] For example, the output power of the cleaning equipment 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 is The cleaning medium concentration is determined 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%; and when the total organic carbon value is 8.42 mg / L, the cleaning medium concentration is 42.10%.

[0124] In step S18, pollution control calculation is performed based on the material characteristic parameters and the pollution factor to obtain pollution control parameters.

[0125] The pollution control parameters are calculated using the following formula:

[0126]

[0127] Where, 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.

[0128] 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 comprehensively considers 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 12, and this exponential term will This shows that the contribution of different material characteristics to the pollution control parameter C is different. This nonlinear relationship simulates the pollution factor in the actual cleaning process. The impact on cleaning performance is complex and variable, 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.

[0129] 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 twelve characteristics of the object being cleaned: melting point, freezing point, heat of fusion, latent heat of solidification, surface tension, viscosity, density, heat transfer coefficient, specific heat, solubility, 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 liquid on the surface of the electronic component. Assume and :

[0130] For surface tension, , the calculated sub-item is:

[0131]

[0132] For the heat transfer coefficient, , the calculated sub-item is:

[0133]

[0134] Since during the calculation, The index of decreases with the increase of and For the two parameters, their contributions will be relatively larger than other parameters because these properties are particularly sensitive to the cleaning effect.

[0135] 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.

[0136] The optimal cleaning control parameters are calculated by the following formula:

[0137]

[0138] Where, is the optimal cleaning control parameter, is the power parameter of the cleaning equipment, is the pollution control parameter, For pollution factors.

[0139] 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 of the impact on the optimal cleaning control parameters can more comprehensively reflect the complexity of the cleaning process. The application of the formula enables the and The logarithmic function is often used in calculations to deal with growth rate problems and 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, and the denominator is Represents the logarithmic sum of the individual effects of the power parameters and contamination factors of the cleaning equipment, which 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.

[0140] In step S20, the optimal cleaning mode of the cleaning equipment is obtained according to the pollution type and the optimal cleaning control parameter, and the operation of the cleaning equipment is controlled according to the optimal cleaning mode.

[0141] When the pollution level is high pollution or the optimal cleaning control parameter is greater than the preset first parameter threshold, the high power cleaning mode is adopted;

[0142] When the pollution level 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;

[0143] When the pollution level 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;

[0144] When the pollution level 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;

[0145] When the optimal cleaning control parameter is less than or equal to the fourth parameter threshold, cleaning is stopped.

[0146] It should be noted that when the contamination level is determined to be high, or the optimal cleaning control parameter is greater than a preset first parameter threshold, the high-power cleaning mode is selected. This mode is suitable for heavy contamination and requires a higher energy level to effectively remove dirt. When the contamination level is determined to be medium, 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 moderate contamination and balances cleaning effectiveness and energy consumption. When the contamination level is determined to be low, 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 light contamination and uses less energy for cleaning. When the contamination level is determined to be slightly, 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 or very light contamination to minimize energy consumption. When the optimal cleaning control parameter is less than or equal to the fourth parameter threshold, the contamination level is considered to be extremely low or has met the cleaning standard, and cleaning is stopped to avoid unnecessary energy consumption and damage to the items being cleaned. In addition, for machines of different power, the parameter threshold settings are 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.

[0147] For example, 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 the optimal cleaning mode of the cleaning device, and the operation of the cleaning device is controlled according to the optimal cleaning mode.

[0148] For example, by formula Can be calculated .at this time, , so it can be determined that the pollution type is strong pollution. Calculate When , it is greater than the first parameter threshold, so the high power cleaning mode is matched to control the operation of the cleaning equipment.

[0149] 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 an object to be cleaned, an output power of the cleaning equipment, and a cleaning medium concentration; constructing a vector according to the characteristic information of the object to be cleaned to obtain a material characteristic vector; performing calculation according to the material characteristic vector to obtain material characteristic parameters of the object to be cleaned; calculating a pollution factor according to the material characteristic vector and the material characteristic parameters 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 the pollution type with 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.

[0150] The method is executed by a computer, first obtaining characteristic information of the item being cleaned, the output power of the cleaning equipment, and the concentration of the cleaning medium. A material characteristic vector is then constructed based on the item characteristics and the material characteristic parameters are calculated. The pollution factor is then calculated using the material characteristic vector and 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 pollution factors. Finally, the optimal cleaning control parameters are derived by combining the pollution control parameters, power parameters, and pollution factors, and matched with the pollution type to determine the optimal cleaning mode for the cleaning equipment, thereby controlling the operation of the equipment. The method can select the optimal cleaning control parameters based on a variety of factors, such as the material of the item being cleaned, the degree of pollution, and the cleaning power. Matching is performed based on the optimal cleaning control parameters to obtain the optimal cleaning mode for the cleaning equipment, so that the operation of the cleaning equipment can be controlled according to the optimal cleaning mode.

[0151] Reference Figure 2 The second embodiment of the present invention provides a control system for ultrasonic cleaning equipment, comprising:

[0152] A data acquisition module is used to obtain characteristic information of the cleaned items, the output power of the cleaning equipment, and the concentration of the cleaning medium;

[0153] A feature vector construction module is used to construct a vector based on the feature information of the cleaned object to obtain a material feature vector;

[0154] A characteristic parameter calculation module, configured to calculate the material characteristic parameters of the cleaned article based on the material characteristic vector;

[0155] a pollution factor calculation module, configured 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;

[0156] A pollution degree calculation module is used to calculate the pollution degree according to the pollution factor to obtain the pollution degree value of the cleaned article;

[0157] A pollution type judgment module is used to perform a pollution type judgment operation according to the pollution degree value to obtain the pollution type of the cleaned article;

[0158] a power parameter calculation module, configured to calculate the power parameters of the cleaning equipment according to the output power, the cleaning medium concentration, and the pollution degree value;

[0159] A control parameter calculation module, configured to perform pollution control calculations based on the material characteristic parameters and the pollution factors to obtain pollution control parameters;

[0160] an optimal parameter calculation module, configured to perform cleaning control calculations based on the pollution control parameters, the power parameters, and the pollution factors to obtain optimal cleaning control parameters;

[0161] 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.

[0162] 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 the process steps of the control method of an ultrasonic cleaning equipment in the above embodiment. The working principles and beneficial effects of the two correspond one to one, so they will not be repeated here.

[0163] The present invention also provides a cleaning device, comprising a control system of any one of the ultrasonic cleaning devices described above.

[0164] An 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 the modules / units in the above-mentioned device embodiments are realized, such as the data acquisition module.

[0165] 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, and the instruction segments are used to describe the execution process of the computer program in the electronic device.

[0166] The electronic device may be a computing device such as a desktop computer, notebook, PDA, or smart tablet. The electronic device may include, but is not limited to, a processor and memory. Those skilled in the art will appreciate that the aforementioned components are merely examples of electronic devices and do not constitute a limitation of the electronic device. The electronic device may include more or fewer components than those described above, or a combination of certain components, or different components. For example, the electronic device may also include input / output devices, network access devices, buses, and the like.

[0167] 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), 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. The processor is the control center of the electronic device and connects various parts of the entire electronic device using various interfaces and lines.

[0168] The memory can be used to store the computer programs and / or modules. The processor implements the various functions of the electronic device by running or executing the computer programs and / or modules stored in the memory and accessing the data stored in the memory. The memory may primarily include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function (such as a sound playback function or an image playback function); the data storage area may store data generated based on the use of the mobile phone (such as audio data, a phone book, etc.). Furthermore, the memory may include high-speed random access memory and non-volatile memory, such as a hard disk, internal memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0169] If the module / unit integrated into the electronic device is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention can implement all or part of the process steps in the above-mentioned method embodiments by using a computer program to instruct the relevant hardware. The computer program can be stored in a computer-readable storage medium. When executed by a processor, the computer program can implement the steps of each of the above-mentioned method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal, and software distribution medium. It should be noted that the content of the computer-readable medium can be appropriately increased or decreased based on the requirements of legislation and patent practice in a jurisdiction. For example, in some jurisdictions, based on legislation and patent practice, computer-readable media does not include electric carrier signals and telecommunication signals.

[0170] It should be noted that the device embodiments described above are merely illustrative, 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 across multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment. In addition, in the 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 can understand and implement the present invention without inventive effort.

[0171] The specific embodiments described above further illustrate the objectives, technical solutions, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included within the scope of protection of the present invention for those skilled in the art.

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 based on 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 item to be cleaned; Calculating the pollution factor according to the material feature vector and the material feature parameter to obtain the pollution factor of the cleaned article; Calculating the degree of contamination based on the contamination factor to obtain a contamination degree value of the cleaned article; Performing a pollution type judgment 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 pollution degree value to obtain the 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; Performing cleaning control calculations based on the pollution control parameters, the power parameters, and the pollution factors to obtain optimal cleaning control parameters; Matching the pollution type with 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; The calculation 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 using the following formula: Where, is the pollution factor, is the material characteristic parameter, For the Material feature vectors; The calculation 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 using the following formula: Where, 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; The step of performing a pollution type determination operation based on 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.

2. The control method of ultrasonic cleaning equipment according to claim 1, characterized in that: The calculating according to the material feature vector to obtain the material feature parameters of the cleaned article includes: The material characteristic parameters of the items being cleaned are calculated using the following formula: Where, 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, interfacial tension and surface temperature of the item being cleaned.

3. The control method of ultrasonic cleaning equipment according to claim 1, characterized in that: The calculation based on 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 using the following formula: Where, 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.

4. 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 using the following formula: Where, 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.

5. 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: Where, is the optimal cleaning control parameter, is the power parameter of the cleaning equipment, is the pollution control parameter, For pollution factors.

6. 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 level is high pollution or the optimal cleaning control parameter is greater than the preset first parameter threshold, the high power cleaning mode is adopted; When the pollution level 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 level 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 level 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.

7. A control system for ultrasonic cleaning equipment, characterized in that: A control method for implementing the ultrasonic cleaning equipment according to any one of claims 1 to 6, comprising: A data acquisition module is used to obtain characteristic information of the cleaned items, 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 based on the feature information of the cleaned object to obtain a material feature vector; A characteristic parameter calculation module, configured to calculate the material characteristic parameters of the cleaned article based on the material characteristic vector; a pollution factor calculation module, configured 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 is 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 is used to perform a pollution type judgment operation according to the pollution degree value to obtain the pollution type of the cleaned article; a power parameter calculation module, configured to calculate the power parameters of the cleaning equipment according to the output power, the cleaning medium concentration, and the pollution degree value; A control parameter calculation module, configured to perform pollution control calculations based on the material characteristic parameters and the pollution factors to obtain pollution control parameters; an optimal parameter calculation module, configured to perform cleaning control calculations based on the pollution control parameters, the power parameters, and the pollution factors to obtain optimal cleaning control parameters; 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.

Images