CN117102148A - Energy-saving control method and system for ultrasonic washing machine - Google Patents
Energy-saving control method and system for ultrasonic washing machine Download PDFInfo
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- CN117102148A CN117102148A CN202311386964.XA CN202311386964A CN117102148A CN 117102148 A CN117102148 A CN 117102148A CN 202311386964 A CN202311386964 A CN 202311386964A CN 117102148 A CN117102148 A CN 117102148A
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- 238000005406 washing Methods 0.000 title claims abstract description 27
- 238000004140 cleaning Methods 0.000 claims abstract description 607
- 238000004458 analytical method Methods 0.000 claims abstract description 80
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B08—CLEANING
- B08B—CLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
- B08B3/00—Cleaning by methods involving the use or presence of liquid or steam
- B08B3/04—Cleaning involving contact with liquid
- B08B3/10—Cleaning involving contact with liquid with additional treatment of the liquid or of the object being cleaned, e.g. by heat, by electricity or by vibration
- B08B3/12—Cleaning involving contact with liquid with additional treatment of the liquid or of the object being cleaned, e.g. by heat, by electricity or by vibration by sonic or ultrasonic vibrations
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B40/00—Technologies aiming at improving the efficiency of home appliances, e.g. induction cooking or efficient technologies for refrigerators, freezers or dish washers
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- Cleaning By Liquid Or Steam (AREA)
Abstract
The invention provides an energy-saving control method and system of an ultrasonic rinsing machine, which relate to the technical field of energy-saving control and comprise the following steps: collecting basic information of a cleaning target object, identifying a cleaning area to obtain a cleaning feature set, obtaining basic information, cleaning elements and control parameters of a rinsing machine, performing cleaning feature analysis, determining cleaning feature parameters, performing control energy consumption analysis of the cleaning parameters, fitting an energy-saving relational expression of each cleaning feature parameter, utilizing the cleaning feature set to match the cleaning feature parameters, determining a cleaning-element control relation, performing energy-saving optimizing, determining control parameters of each element, generating a control instruction, and sending the control instruction to a console for element operation control. The invention solves the technical problems that the control parameter setting of the traditional ultrasonic washing machine is usually based on experience or fixed set values, the personalized control on the target object is lacked, and the energy waste and the high energy consumption exist in the operation process.
Description
Technical Field
The invention relates to the technical field of energy-saving control, in particular to an energy-saving control method and system of an ultrasonic rinsing machine.
Background
Ultrasonic wave is a sound wave with the frequency higher than 20kHz and is generated by vibration of substances, ultrasonic cleaning mainly utilizes chemical and mechanical effects generated by ultrasonic cavitation, ultrasonic cavitation refers to a dynamic process of high-speed oscillation, growth, shrinkage, regrowth, shrinkage and final collapse of small bubble cores in liquid under the ultrasonic effect, and cavitation enables pollutants to be peeled off rapidly on one hand, and local high temperature and high pressure are generated in the collapse process to accelerate pyrolysis of water molecules, disperse, emulsify and peel dirt so as to achieve the cleaning purpose. The ultrasonic cleaning has wide applicability, and especially has high cleaning speed and good effect on materials such as metal, glass, plastic and the like.
However, the control parameter setting of the conventional ultrasonic washing machine is usually based on experience or a fixed set value, and is difficult to adapt to the change of different targets and washing requirements, so that personalized control on the targets is lacking in the washing process, the washing requirements of the different targets cannot be met, and the conventional ultrasonic washing machine has the problem of higher energy consumption in the washing process, so that the resource waste and the running cost are increased.
Disclosure of Invention
The application provides an energy-saving control method and system for an ultrasonic washing machine, and aims to solve the technical problems that the control parameter setting of the traditional ultrasonic washing machine is usually based on experience or a fixed set value, is difficult to adapt to the change of different targets and washing requirements, lacks individual control of the targets, and has energy waste and higher energy consumption in the operation process.
In view of the above problems, the application provides an energy-saving control method and system for an ultrasonic rinsing machine.
In a first aspect of the present disclosure, an energy-saving control method for an ultrasonic washing machine is provided, the method comprising: collecting basic information of a cleaning target object, and identifying a cleaning area of the cleaning target object to obtain a cleaning characteristic set; acquiring basic information, a cleaning element and control parameters of the rinsing machine, performing cleaning characteristic analysis on the cleaning element and the control parameters based on the basic information, and determining cleaning characteristic parameters; based on the cleaning characteristic parameters, performing control energy consumption analysis of the cleaning parameters, and fitting an energy-saving relational expression of each cleaning characteristic parameter; matching the cleaning characteristic set with the cleaning characteristic parameters to determine a cleaning-element control relationship; based on the cleaning-element control relation and the energy-saving relation, carrying out energy-saving optimizing and determining control parameters of each element; and generating a control instruction according to the control parameters of each element, and sending the control instruction to a console for element operation control.
In another aspect of the disclosure, an energy-saving control system of an ultrasonic washing machine is provided, the system is used in the above method, and the system includes: the cleaning region identification module is used for collecting basic information of a cleaning target object and identifying a cleaning region of the cleaning target object to obtain a cleaning feature set; the cleaning characteristic analysis module is used for acquiring basic information, cleaning elements and control parameters of the rinsing machine, carrying out cleaning characteristic analysis on the cleaning elements and the control parameters based on the basic information, and determining cleaning characteristic parameters; the control energy consumption analysis module is used for carrying out control energy consumption analysis on the cleaning parameters based on the cleaning characteristic parameters and fitting energy-saving relation formulas of the cleaning characteristic parameters; the control relation acquisition module is used for utilizing the cleaning characteristic set to match with the cleaning characteristic parameters so as to determine a cleaning-element control relation; the energy-saving optimizing module is used for carrying out energy-saving optimizing based on the cleaning-element control relation and the energy-saving relation and determining control parameters of all elements; the element operation control module is used for generating a control instruction according to the control parameters of each element and sending the control instruction to the console for element operation control.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
acquiring basic information of the target object and cleaning area identification to acquire a cleaning characteristic set, so that personalized cleaning control of the target object is realized, and the cleaning requirements of different target objects are met; through analysis of the cleaning characteristic parameters and the energy-saving relation, the correlation modeling between the cleaning parameters and the energy consumption is realized, the energy consumption can be accurately estimated and optimized according to the actual cleaning condition, and the overall energy consumption of the rinsing machine is reduced. The control parameters of all the elements can be accurately adjusted by matching the cleaning characteristic set with the cleaning characteristic parameters, determining the cleaning-element control relation, and combining an energy-saving optimizing method based on the cleaning-element control relation and the energy-saving relation, so that the control parameters are adjusted and optimized in real time to realize an optimal control strategy meeting the cleaning effect requirement; by generating the control instruction and sending the control instruction to the control console, the automatic operation control of the rinsing machine element is realized, and the convenience and the efficiency of operation are improved. In summary, the energy-saving control method solves the technical problems of the traditional rinsing machine in the aspects of high energy consumption, unstable cleaning effect, difficult determination of control parameters and the like through accurate energy consumption analysis, cleaning effect optimization and self-adaptive control strategies, and achieves the technical effects of reducing the energy consumption, improving the cleaning effect and realizing self-adaptive control.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
FIG. 1 is a schematic flow chart of an energy-saving control method of an ultrasonic washing machine according to an embodiment of the application;
fig. 2 is a schematic structural diagram of an energy-saving control system of an ultrasonic rinsing machine according to an embodiment of the present application.
Reference numerals illustrate: the system comprises a cleaning area identification module 10, a cleaning characteristic analysis module 20, a control energy consumption analysis module 30, a control relation acquisition module 40, an energy-saving optimizing module 50 and an element operation control module 60.
Detailed Description
The energy-saving control method of the ultrasonic washing machine solves the technical problems that the control parameter setting of the traditional ultrasonic washing machine is usually based on experience or fixed set values, is difficult to adapt to the change of different targets and cleaning requirements, lacks personalized control of the targets, and has energy waste and higher energy consumption in the operation process.
Having described the basic principles of the present application, various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings.
Example 1
As shown in fig. 1, an embodiment of the present application provides an energy-saving control method for an ultrasonic washing machine, including:
collecting basic information of a cleaning target object, and identifying a cleaning area of the cleaning target object to obtain a cleaning characteristic set;
basic information of the cleaning target object, including the size, shape, material and other relevant characteristics of the target object, is collected through the modes of measuring by a sensor, inquiring the specification of a product and the like, a cleaning area of the cleaning target object is identified through an image processing technology according to the collected basic information of the target object, for example, the target object is separated from the background through an image segmentation algorithm, and then the cleaning area of the target object is determined. And obtaining a cleaning characteristic set according to the cleaning region, wherein the cleaning characteristic set comprises information such as surface characteristics, stain types, position distribution and the like of the target object, and the information is used for subsequent cleaning characteristic analysis and parameter control.
Further, the collecting basic information of the cleaning target object and identifying the cleaning area of the cleaning target object to obtain a cleaning feature set includes:
Determining cleaning materials, cleaning volumes and object shapes according to the basic information of the cleaning target object;
based on the basic information, connecting a cleaning article preprocessing module to extract cleaning pre-analysis data of a cleaning target object;
performing identification and extraction from the cleaning and pre-analysis data to obtain an identification cleaning area and an identification cleaning stain category;
and carrying out cleaning characteristic analysis according to the cleaning material, the cleaning volume and the object shape, combining the identification cleaning area and the identification cleaning stain category, and determining the cleaning characteristic set.
Judging the adopted materials, such as metal, plastic, glass and the like, according to the basic information of the target object, and determining the corresponding cleaning method and cleaning agent; calculating the volume of the cleaning target object according to the size and shape of the object, and determining the dosage of the cleaning liquid and the size of the container, so as to avoid using an oversized container and an excessive cleaning liquid; based on basic information of the object, shape characteristics of the object, such as plane, curved surface, regular geometric shape or irregular shape, are determined, and the shape of the object influences the flow and coverage of the cleaning liquid in the cleaning process.
A cleaning article pre-processing module is constructed and is used for pre-processing the target object to obtain cleaning pre-analysis data, and the module comprises a data input interface, an article scanning identification interface and other components. The cleaning article preprocessing module is provided with a data input interface and is used for receiving basic information, inputting the basic information into the cleaning article preprocessing module in a manual input or automatic transmission mode, matching with each cleaning object stored in the module, and outputting cleaning pre-analysis data of the cleaning object according to a matching result, wherein the cleaning pre-analysis data comprises position area information, cleaning category information and a cleaning area identified by scanning.
According to the position area information and the cleaning area in the cleaning and pre-analysis data, identification and extraction are carried out, for example, the boundary of the cleaning area is identified by adopting an image segmentation algorithm, and the identification cleaning area is determined, so that the specific area needing cleaning can be more accurately determined, and the identification cleaning area can be the whole object surface or only the specific area, such as the area with concentrated stains.
And according to the cleaning category information in the cleaning pre-analysis data, performing identification and extraction, for example, using a color detection algorithm to identify the category of cleaning stains, and determining the identification cleaning stain category by comparing with the determined stain category color.
And carrying out cleaning characteristic analysis by combining the cleaning material, the cleaning volume, the object shape, the identification cleaning area and the cleaning stain category, and determining a cleaning characteristic set, wherein the cleaning characteristic set provides information about proper cleaning methods, cleaning agent selection and cleaning parameter adjustment so as to realize the optimal cleaning effect of the energy-saving control target.
Further, the determining the cleaning feature set according to the cleaning material, the cleaning volume, the object shape, the cleaning area with the mark and the cleaning stain category, and performing cleaning feature analysis includes:
performing cleaning sound wave distribution coverage analysis according to the cleaning volume, the object shape and the cleaning area, and determining the characteristics of a cleaning sound wave control range;
performing cleaning control parameters and parameter control threshold range analysis according to the cleaning materials and cleaning stain types, and determining cleaning parameters and control characteristics;
and obtaining the cleaning characteristic set according to the cleaning sound wave control range characteristics, the cleaning parameters and the control characteristics.
Performing simulation experiments, for example, using sound wave propagation simulation software to simulate the propagation condition of sound waves in a given cleaning area, setting a simulation environment according to the cleaning volume, the object shape and the cleaning area to ensure that the simulation environment is close to the actual condition, analyzing the distribution condition of the sound waves in the cleaning area according to simulation results, for example, drawing distribution diagrams of sound pressure levels (or sound intensities) at different positions of the cleaning area according to sound wave propagation simulation data, and determining the intensity and the distribution uniformity of the sound waves; and recording the energy loss condition of the sound wave in the propagation process, and judging the energy attenuation degree of the sound wave at different positions by analyzing the attenuation and reflection conditions of the sound wave.
According to the distribution condition of the sound waves, whether the coverage range of the sound waves meets the cleaning requirement is evaluated, wherein the method comprises the steps of determining the percentage of the surface of an object covered by the sound waves or determining dead angle areas where the sound waves cannot reach. And determining the control range characteristics of the cleaning sound waves according to the analysis result, wherein the control range characteristics comprise the maximum coverage radius, the radiation direction, the cleaning effect stabilizing area and the like.
And acquiring respective cleaning parameters under the cleaning material and the cleaning stain category according to the historical data, wherein the cleaning parameters comprise the concentration, the temperature, the nozzle pressure, the cleaning time and the like of the cleaning liquid. And continuing to use the simulation software, simulating the cleaning parameters under the corresponding simulation conditions, adjusting each parameter in the experiment, trying different parameter combinations, and recording the cleaning effect and the processing time.
According to the simulation data, the cleaning effect under different parameter combinations is evaluated, including the stain removal efficiency, the material damage evaluation and the energy and resource consumption evaluation, specifically, according to the type and the material of stains, the removal effect under different parameter combinations is evaluated, and the quantitative evaluation can be performed by using an image analysis method; evaluating the influence of different parameter combinations on the material by comparing the material properties before and after the simulation experiment, including surface roughness, color change or strength reduction and the like; energy and resource consumption under different parameter combinations, such as water, cleaning agent, electricity, etc., are evaluated to determine the sustainability and economy of the cleaning process.
Based on the evaluation results, an appropriate parameter control threshold range, i.e., minimum and maximum values of each parameter, is determined to ensure a balance between cleaning effect and material protection.
The cleaning sound wave control range features describe the distribution and coverage of the cleaning sound waves in the cleaning area, such as the maximum coverage radius, the radiation direction, the cleaning effect stabilization area and the like; the cleaning parameters describe parameter settings for controlling the cleaning process, such as concentration of cleaning liquid, temperature, nozzle pressure, cleaning time, etc.; the parameter control features describe threshold ranges or constraints that control the cleaning parameters, such as minimum and maximum allowable values of cleaning fluid concentration, operating ranges of temperature, upper limits of nozzle pressure, etc.
The above three types of features are integrated to form a cleaning feature set that provides a complete description and control requirements regarding the cleaning process, enabling the effectiveness, safety and repeatability of the cleaning task.
Further, the cleaning pre-processing module connected with the cleaning object pre-processing module extracts cleaning pre-analysis data of the cleaning object, and before the cleaning pre-processing module comprises:
constructing a cleaning article pretreatment module, wherein the cleaning article pretreatment module comprises a data input interface and an article scanning identification interface;
Performing spot recognition or process flow recognition on an object to be cleaned through manual or machine recognition equipment, determining a spot recognition area, and generating cleaning area description information or area identification information;
accessing the cleaning region description information into the data input interface, and extracting the position and the cleaning type of the cleaning region description information;
the area identification information is connected to the article scanning identification interface, and the cleaning area is scanned and identified based on the identification information, so that the cleaning area is obtained;
integrating the position area information and the cleaning category information extracted by the description information with the cleaning area identified by scanning to construct cleaning pre-analysis data of each cleaning target object.
The data input interface is used for inputting relevant information of an object to be cleaned into the system, and can be a Graphical User Interface (GUI) or a Command Line Interface (CLI) for enabling an operator to input information of an object, such as the type, the size, the material and the like of the object, and the information is used for subsequent cleaning, pre-analysis and processing processes;
the article scanning identification interface is used for receiving and processing area identification information, the interface receives the area identification information, the information comprises areas which need special treatment in the articles to be cleaned, the interface analyzes the received area identification information, and extracts position and attribute information related to cleaning so as to identify the cleaning area.
The human operator creates cleaning zone description information by carefully observing the object to be cleaned and analyzing, empirically and expertise, the signs of stains or particular process flows that may be present on the surface of the article, identifying relevant features of stains or particular process flows on the article, including identifying colors, shapes, textures or other visible features, and determining the location and extent of stains or process flows on the object to be cleaned, and profiling and on particular areas.
Then, using a machine recognition device, such as an image sensor, a spectrometer, etc., data acquisition is performed on the object to be cleaned, and features related to stains or specific process flows are extracted from the data using image processing algorithms, such as color space conversion, texture analysis, edge detection, etc., based on the acquired data. Comparing the extracted features with known stain patterns or process flow models, for example, judging that the comparison similarity meets a preset similarity threshold as similar stains, and determining the areas with stains or specific process flows on the target to be cleaned based on the comparison result. And generating area identification information according to the determined stain identification area.
The cleaning area description information is a basic description of an area to be cleaned in the object to be cleaned, and comprises the position of the cleaning area on the object to be cleaned, the shape and the size characteristics of the cleaning area, and specific attributes of the cleaning area, such as stain type, process flow requirements and the like; the region identification information is generated by a machine identification device and is used for identifying a region to be cleaned in the object to be cleaned, for example, the region needing special treatment is identified by adding marks and color comments in an image of the object to be cleaned; identifying a range of the region by drawing a contour line; each area requiring special treatment is assigned a unique number to facilitate tracking in subsequent operations.
The data input interface receives description information of the cleaning area, and the description information comprises relevant information such as the position of a specific area in the object to be cleaned, the cleaning type and the like. The data input interface analyzes the received description information of the cleaning area, for example, a natural language processing technology is used, position keywords, numbers or coordinate information in the description information are searched and extracted through character string processing, and the position information and the cleaning type of the cleaning area are extracted from the text.
The item scan identification interface receives zone identification information including image notes, indicia, numbering, etc. for indicating a cleaning zone in the object to be cleaned. And acquiring a corresponding image of the object to be cleaned according to the received area identification information, performing area identification and positioning on the image of the object to be cleaned by utilizing an image processing technology and a computer vision algorithm, for example, using an image segmentation and edge detection method, and cutting out a cleaning area from the image of the object to be cleaned through cutting or masking operation.
And creating a unique number for each object to be cleaned so as to conveniently track and correlate the data, merging the position area information, the cleaning category information and the cleaning area corresponding to each object to be cleaned, managing the data by using forms such as a table, a database and the like, so as to construct cleaning and pre-analysis data of each object to be cleaned, and providing accurate data support for subsequent cleaning processes and decisions.
Acquiring basic information, a cleaning element and control parameters of the rinsing machine, performing cleaning characteristic analysis on the cleaning element and the control parameters based on the basic information, and determining cleaning characteristic parameters;
Further, based on the basic information, performing cleaning feature analysis on the cleaning element and the control parameter, and determining the cleaning feature parameter includes:
based on the basic information of the rinsing machine, obtaining the volume of the water tank, the information of the cleaning elements and the distribution information of the cleaning elements;
analyzing the type, the cleaning power and the control range of the cleaning elements according to the cleaning element information and the distribution information thereof, and determining the control parameters of each cleaning element, wherein the control parameters comprise parameter attribute characteristics and parameter control ranges;
performing ultrasonic water level-ultrasonic relation analysis according to the water tank volume, and determining water level control cleaning characteristics;
and establishing mapping relation between each cleaning element and distribution information, parameter attribute characteristics, parameter control range and water level control cleaning characteristics of each cleaning element to obtain the cleaning characteristic parameters.
Basic information of the rinsing machine is obtained by referring to technical documents and specification tables of the rinsing machine, wherein the basic information comprises design parameters such as model, size and capacity of the rinsing machine, and related information such as cleaning elements used in the rinsing machine.
The volume of the sink is determined based on design parameters in the base information, or by measuring the size of the sink. The cleaning element comprises a transducer for generating ultrasonic waves, a nozzle, a brush and the like, wherein the ultrasonic transducer is arranged at the bottom of the cleaning tank, and when the transducer emits sound waves from the tank bottom, the sound waves radiate in the liquid in the tank, and standing waves are formed in the tank after the sound waves are reflected by the liquid surface.
The cleaning element information comprises element types, number, position installation modes and the like, the distribution conditions of the cleaning elements in the washing machine are determined according to the cleaning element information, the positions and the layout of the cleaning elements are marked by referring to a design drawing and an assembly instruction of the washing machine, a cleaning element distribution diagram is formed by arrangement, and the cleaning element distribution information is obtained.
Classifying each cleaning element according to the collected cleaning element information, including heating, ultrasonic vibration, or auxiliary agitation adjustment; performing a cleaning power analysis for each cleaning element category, determining an appropriate power range for each cleaning element with reference to specifications provided by a manufacturer, the cleaning power generally being related to cleaning effectiveness and cleaning speed;
determining attribute characteristics of the cleaning element according to the category and the function of the cleaning element, wherein the attribute characteristics comprise units, value types, influence factors and the like of parameters, for example, the attribute characteristics of the ultrasonic transducer such as frequency, amplitude and the like can be considered; and determining the parameter control range of each cleaning element, including the minimum value, the maximum value and the adjustable range of each parameter, by combining the category of the cleaning element and the cleaning power analysis result, wherein the parameter control range can be influenced by factors such as hardware limit, safety requirement, cleaning effect and the like of the rinsing machine.
The propagation of ultrasonic waves in water is affected by the medium characteristics of the water, such as sound velocity, attenuation, etc., different water level conditions are set based on the water tank volume information, the intensity, reflection time or other relevant parameters of ultrasonic signals are obtained by using ultrasonic sensors at different water levels, and corresponding ultrasonic signals are recorded. And performing curve fitting on the collected water level and ultrasonic data, establishing a mathematical model of the water level-ultrasonic relation, determining water level control cleaning characteristics based on the mathematical model, and adjusting ultrasonic cleaning parameters according to the water level set values in actual operation according to the characteristics.
And respectively establishing the relation between the cleaning element and the distribution information thereof, the attribute characteristics of the cleaning element and the parameters thereof, the control range of the cleaning element and the parameters thereof and the water level control cleaning characteristics thereof, integrating the cleaning element according to the cleaning element, and constructing an integral mapping relation, wherein the establishment of the relation is beneficial to accurately setting the related parameters of the cleaning element according to the cleaning requirement and the operation requirement of a target object and carrying out accurate and effective cleaning control based on the water level control characteristics.
Further, according to the cleaning element information and the distribution information thereof, performing element cleaning category, cleaning power and control range analysis to determine control parameters of each cleaning element, including:
According to the category of the cleaning element, carrying out effect characteristic analysis and determining parameter attribute characteristics and cleaning effect distribution characteristics;
acquiring an adjustment angle of a cleaning element, performing adjustment distribution traversal based on the distribution information and the adjustment angle of the cleaning element information, and determining an angle adjustment parameter set;
and obtaining cleaning control ranges based on the cleaning effect distribution characteristics and the angle adjustment parameter sets, analyzing the corresponding relation of parameter control on each cleaning control range according to the influence of cleaning power on the cleaning effect distribution characteristics, and determining the parameter control ranges.
Each cleaning element category is analyzed according to the previous cleaning element category to determine the function of each cleaning element, such as heating, ultrasonic vibration, or auxiliary agitation, etc. For each cleaning element category, an effect profile is performed, including evaluating the extent of contribution of each cleaning element to the cleaning effect, such as heating capacity, ultrasonic energy transfer efficiency, agitation effect, and the like.
According to the result of the effect characteristic analysis, the parameter attribute characteristics of each cleaning element are determined, wherein the parameter attribute characteristics comprise units, value types, adjustment modes and the like of key parameters, for example, for an ultrasonic transducer, the parameter attribute characteristics such as a frequency range, a power adjustment mode and the like are required to be determined.
Based on the category of the cleaning element and the attribute characteristics of the parameters, the distribution characteristics of the cleaning effect in the water tank are analyzed, including differential evaluation of the cleaning effect at different positions and collaborative analysis of other cleaning elements, and the distribution characteristics of the cleaning effect are obtained.
According to the obtained distribution information of the cleaning elements, the position and the layout of each cleaning element in the washing machine are recorded, and the adjustable angle range of each cleaning element is obtained by referring to the design specification of the cleaning equipment.
Traversing each cleaning element in an allowed angle range based on the distribution information of the cleaning elements and the adjustable angle range, for example, performing angle traversal by adopting an exhaustive search and a genetic algorithm and combining the mutual influence and the space limitation among the cleaning elements, and integrating angles obtained by the traversal to obtain an angle adjustment parameter set.
According to the cleaning effect distribution characteristic data, the cleaning effects of different positions or areas are evaluated, wherein the cleaning effect distribution characteristic data comprise uniformity and coverage rate of the cleaning effects and target values of the cleaning effects of different positions, for example, the cleaning effect of a certain position is set to be 90% of coverage rate or a specific cleaning quality standard is achieved; and for the angle adjustment parameter set, determining the change condition of the cleaning effect of the cleaning element under different angles according to the influence of the angle adjustment of different cleaning elements on the cleaning effect, namely, the influence degree of the angle adjustment parameter on reaching the target value or the requirement of the cleaning effect. And determining the cleaning control range by combining the influence of the cleaning effect target value and the angle adjustment parameter.
And collecting data related to cleaning power and cleaning effect, including experimental data and historical records, wherein the cleaning power is related to parameters such as the working frequency of the cleaning element, the power adjustment mode and the like, and recording the corresponding cleaning power and corresponding cleaning effect index for each cleaning position. Based on the data of the cleaning power and the cleaning effect, regression analysis is carried out, the cleaning power is taken as an independent variable, the cleaning effect is taken as a dependent variable, and the influence relation of the cleaning power on the distribution characteristics of the cleaning effect is established.
And (3) combining the distribution characteristics of the cleaning effect under different powers, and the association between the angle adjustment parameter set and the distribution characteristics of the cleaning effect, analyzing the corresponding relation between the parameter control and the cleaning effect, and determining the control range of each parameter at different positions by setting the minimum value, the maximum value and the adjustable range of the parameter according to the analysis result of the corresponding relation of the parameter control.
Based on the cleaning characteristic parameters, performing control energy consumption analysis of the cleaning parameters, and fitting an energy-saving relational expression of each cleaning characteristic parameter;
and acquiring a series of cleaning characteristic parameters and corresponding energy consumption data through experiments or historical records, establishing a linear regression model to describe the relation between the cleaning characteristic parameters and the energy consumption, fitting the collected data by utilizing the established mathematical model, and determining model parameters through a least square method or other fitting algorithms in the fitting process so as to ensure that the model is fitted with the actual data as much as possible. And obtaining a relation between the cleaning characteristic parameters and the energy consumption according to the fitting result. This relation is used to predict and adjust the cleaning parameters for energy saving purposes.
Matching the cleaning characteristic set with the cleaning characteristic parameters to determine a cleaning-element control relationship;
and matching each characteristic of the cleaning characteristic set with the cleaning characteristic parameters, wherein the matching comprises the steps of comparing the characteristics of the cleaning area, the stain type, the cleaning material, the cleaning volume, the object shape and the like with the corresponding cleaning characteristic parameters. Based on the matching results, a control strategy for each cleaning element is determined, including determining cleaning sonic distribution coverage, cleaning parameters and their control threshold ranges, as well as other control features associated with the cleaning element.
Mapping the determined element control strategy with the corresponding cleaning element to establish a cleaning-element control relation, and collecting related data comprising a cleaning characteristic set and cleaning characteristic parameters through historical cleaning records and experimental data, establishing a data set, carrying out association rule mining on the data set, and identifying frequent item sets and association rules, wherein the frequent item sets are frequently and simultaneously occurring item sets, and the association rules describe the dependency relation among different items.
Based on the mined association rules, evaluation and screening are carried out, wherein evaluation indexes comprise support degree, confidence degree and lifting degree, wherein the support degree measures the occurrence frequency of the rules in the data set, the confidence degree measures the credibility degree of the rules, and the lifting degree measures the improvement degree of the results in the rules. According to the evaluation result and the requirements, association rules with high support, confidence and promotion degree are selected as cleaning-element control relations, and the rules can be interpreted as the dependency relation between cleaning characteristic sets and cleaning characteristic parameters, so that the control strategy of the element is determined.
Based on the cleaning-element control relation and the energy-saving relation, carrying out energy-saving optimizing and determining control parameters of each element;
further, based on the cleaning-element control relationship and the energy-saving relationship, performing energy-saving optimization, determining control parameters of each element includes:
fitting a linear relation formula of the cleaning target object with a cleaning effect based on the cleaning-element control relation to obtain a cleaning evaluation linear relation;
acquiring a cleaning target value of a cleaning target object based on the cleaning feature set;
taking the cleaning target value as a constraint condition, and constructing an adaptability function based on the cleaning evaluation linear relation and the energy-saving relation so as to ensure that the cleaning evaluation target is maximum and the energy consumption target is minimum;
performing cleaning latitude analysis based on the cleaning target object and the cleaning target value, and determining an adjustment coefficient;
and adding the adjustment coefficient into the fitness function, and carrying out cleaning-element control parameter optimizing based on the fitness function to obtain the control parameters of the elements, wherein the control parameters are control parameters meeting the cleaning effect and having the minimum energy consumption.
Collecting relevant data of each cleaning target object and corresponding cleaning effect through experimental data, historical records and the like, extracting characteristics related to the cleaning effect, including indexes of cleaning time, stain removal rate, cleaning quality and the like, establishing a linear function based on the determined cleaning-element control relation to describe the linear relation between the cleaning effect and element control parameters, performing function fitting by using the collected data, such as using a least square method, determining parameters of a model, obtaining a cleaning evaluation linear relation, taking the element control parameters as input, and predicting the cleaning effect.
The cleaning target value is determined based on the cleaning feature set and the description of the cleaning target object, for example, the cleaning effect of a certain position is set to 90% coverage or a specific cleaning quality standard is achieved.
The determined purging target values are used as constraints so that these constraints are satisfied in the subsequent optimization process. The cleaning evaluation linear relationship describes a linear relationship between cleaning effect and element control parameters; the energy-saving relation describes a linear relation between cleaning energy consumption and element control parameters, and the relation relates to factors such as element power, cleaning time, energy consumption and the like.
The cleaning evaluation and the cleaning energy consumption are combined to construct an fitness function, for example, the relative importance of the cleaning evaluation and the cleaning energy consumption is determined according to task requirements, a weight coefficient is set, the weight coefficient is weighted and summed according to the weight coefficient, and a calculation result is the cleaning fitness, so that the fitness function is established, and examples are as follows:
；
wherein,is->，/>、/>Is a weight, and->，/>In order to clean the waste of energy,for the cleaning evaluation, the cleaning energy consumption and the cleaning evaluation each have a linear relationship with the element control parameter.
The cleaning latitude means a range of allowable gap between the cleaning effect of the target object and the desired value in the actual cleaning process. Based on the cleaning target object and the cleaning target value, performing sensitivity analysis on different characteristics and parameters, evaluating the influence degree of the characteristics and the parameters on the cleaning effect, and determining an adjustment coefficient according to the result of the cleaning latitude analysis, wherein the adjustment coefficient is used for adjusting the control parameters of the cleaning element so as to meet the requirement of the cleaning target value in the cleaning latitude, and the adjustment coefficient can reflect the importance and the sensitivity of the different characteristics of the target object on the cleaning effect.
And adding the determined adjustment coefficient into the fitness function so as to consider the influence of the cleaning latitude and the adjustment coefficient on the target value, and simultaneously considering the maximization of the cleaning evaluation index and the minimization of the energy consumption target after updating the fitness function. Selecting proper optimization algorithm to search the optimal cleaning-element control parameter combination, such as genetic algorithm, particle swarm optimization, simulated annealing and the like, limiting a search space according to the value range of each element control parameter, searching the optimal cleaning-element control parameter combination in the search space, and gradually optimizing the parameters by iteration and evaluation of the value of the fitness function so as to achieve the aims of maximizing the cleaning effect and minimizing the energy consumption. From the optimization process, a combination of control parameters is obtained that meet the minimum cleaning effect and energy consumption, which will be used for the actual cleaning operation to achieve the desired cleaning effect and reduce energy consumption.
And generating a control instruction according to the control parameters of each element, and sending the control instruction to a console for element operation control.
Based on the obtained control parameters of each element, a corresponding control instruction is generated, wherein the control instruction can be a set of command or configuration information in a specific format, and the command or configuration information is used for informing a console how to control the running state of each element. The generated control instruction is encoded and sent to the control console through network connection, after the control console receives the control instruction, analysis and execution are carried out, and according to the control parameters in the instruction, the control console correspondingly adjusts the running state and the behavior of the element so as to achieve the required cleaning effect and energy consumption requirement.
In summary, the energy-saving control method and system for the ultrasonic rinsing machine provided by the embodiment of the application have the following technical effects:
1. acquiring basic information of the target object and cleaning area identification to acquire a cleaning characteristic set, so that personalized cleaning control of the target object is realized, and the cleaning requirements of different target objects are met;
2. through analysis of the cleaning characteristic parameters and the energy-saving relation, the correlation modeling between the cleaning parameters and the energy consumption is realized, the energy consumption can be accurately estimated and optimized according to the actual cleaning condition, and the overall energy consumption of the rinsing machine is reduced;
3. the control parameters of all the elements can be accurately adjusted by matching the cleaning characteristic set with the cleaning characteristic parameters, determining the cleaning-element control relation, and combining an energy-saving optimizing method based on the cleaning-element control relation and the energy-saving relation, so that the control parameters are adjusted and optimized in real time to realize an optimal control strategy meeting the cleaning effect requirement;
4. by generating the control instruction and sending the control instruction to the control console, the automatic operation control of the rinsing machine element is realized, and the convenience and the efficiency of operation are improved.
In summary, the energy-saving control method solves the technical problems of the traditional rinsing machine in the aspects of high energy consumption, unstable cleaning effect, difficult determination of control parameters and the like through accurate energy consumption analysis, cleaning effect optimization and self-adaptive control strategies, and achieves the technical effects of reducing the energy consumption, improving the cleaning effect and realizing self-adaptive control.
Example two
Based on the same inventive concept as the energy-saving control method of the ultrasonic washing machine in the foregoing embodiment, as shown in fig. 2, the present application provides an energy-saving control system of an ultrasonic washing machine, the system comprising:
the cleaning region identification module 10 is used for acquiring basic information of a cleaning target object and identifying a cleaning region of the cleaning target object to obtain a cleaning feature set;
the cleaning characteristic analysis module 20 is used for acquiring basic information, cleaning elements and control parameters of the rinsing machine, carrying out cleaning characteristic analysis on the cleaning elements and the control parameters based on the basic information, and determining cleaning characteristic parameters;
the control energy consumption analysis module 30 is used for carrying out control energy consumption analysis of the cleaning parameters based on the cleaning characteristic parameters, and fitting energy-saving relation formulas of the cleaning characteristic parameters;
a control relationship obtaining module 40, where the control relationship obtaining module 40 is configured to determine a cleaning-element control relationship by using the cleaning feature set to match the cleaning feature parameter;
the energy-saving optimizing module 50 is used for carrying out energy-saving optimizing based on the cleaning-element control relation and the energy-saving relation, and determining the control parameters of each element;
The component operation control module 60, the component operation control module 60 is configured to generate a control instruction according to the control parameters of the components, and send the control instruction to the console for component operation control.
Further, the system also comprises a cleaning feature set acquisition module for executing the following operation steps:
determining cleaning materials, cleaning volumes and object shapes according to the basic information of the cleaning target object;
based on the basic information, connecting a cleaning article preprocessing module to extract cleaning pre-analysis data of a cleaning target object;
performing identification and extraction from the cleaning and pre-analysis data to obtain an identification cleaning area and an identification cleaning stain category;
and carrying out cleaning characteristic analysis according to the cleaning material, the cleaning volume and the object shape, combining the identification cleaning area and the identification cleaning stain category, and determining the cleaning characteristic set.
Further, the system also comprises a pre-analysis data construction module for executing the following operation steps:
constructing a cleaning article pretreatment module, wherein the cleaning article pretreatment module comprises a data input interface and an article scanning identification interface;
performing spot recognition or process flow recognition on an object to be cleaned through manual or machine recognition equipment, determining a spot recognition area, and generating cleaning area description information or area identification information;
Accessing the cleaning region description information into the data input interface, and extracting the position and the cleaning type of the cleaning region description information;
the area identification information is connected to the article scanning identification interface, and the cleaning area is scanned and identified based on the identification information, so that the cleaning area is obtained;
integrating the position area information and the cleaning category information extracted by the description information with the cleaning area identified by scanning to construct cleaning pre-analysis data of each cleaning target object.
Further, the system also comprises a cleaning feature set acquisition module for executing the following operation steps:
performing cleaning sound wave distribution coverage analysis according to the cleaning volume, the object shape and the cleaning area, and determining the characteristics of a cleaning sound wave control range;
performing cleaning control parameters and parameter control threshold range analysis according to the cleaning materials and cleaning stain types, and determining cleaning parameters and control characteristics;
and obtaining the cleaning characteristic set according to the cleaning sound wave control range characteristics, the cleaning parameters and the control characteristics.
Further, the system further comprises a characteristic parameter acquisition module for executing the following operation steps:
based on the basic information of the rinsing machine, obtaining the volume of the water tank, the information of the cleaning elements and the distribution information of the cleaning elements;
Analyzing the type, the cleaning power and the control range of the cleaning elements according to the cleaning element information and the distribution information thereof, and determining the control parameters of each cleaning element, wherein the control parameters comprise parameter attribute characteristics and parameter control ranges;
performing ultrasonic water level-ultrasonic relation analysis according to the water tank volume, and determining water level control cleaning characteristics;
and establishing mapping relation between each cleaning element and distribution information, parameter attribute characteristics, parameter control range and water level control cleaning characteristics of each cleaning element to obtain the cleaning characteristic parameters.
Further, the system also comprises a control parameter acquisition module for executing the following operation steps:
fitting a linear relation formula of the cleaning target object with a cleaning effect based on the cleaning-element control relation to obtain a cleaning evaluation linear relation;
acquiring a cleaning target value of a cleaning target object based on the cleaning feature set;
taking the cleaning target value as a constraint condition, and constructing an adaptability function based on the cleaning evaluation linear relation and the energy-saving relation by adding a maximum cleaning evaluation target and a minimum energy consumption target;
performing cleaning latitude analysis based on the cleaning target object and the cleaning target value, and determining an adjustment coefficient;
And adding the adjustment coefficient into the fitness function, and carrying out cleaning-element control parameter optimizing based on the fitness function to obtain the control parameters of the elements, wherein the control parameters are control parameters meeting the cleaning effect and having the minimum energy consumption.
Further, the system also comprises a parameter control range determining module for executing the following operation steps:
according to the category of the cleaning element, carrying out effect characteristic analysis and determining parameter attribute characteristics and cleaning effect distribution characteristics;
acquiring an adjustment angle of a cleaning element, performing adjustment distribution traversal based on the distribution information and the adjustment angle of the cleaning element information, and determining an angle adjustment parameter set;
and obtaining cleaning control ranges based on the cleaning effect distribution characteristics and the angle adjustment parameter sets, analyzing the corresponding relation of parameter control on each cleaning control range according to the influence of cleaning power on the cleaning effect distribution characteristics, and determining the parameter control ranges.
The foregoing detailed description of the energy-saving control method of the ultrasonic washing machine will clearly be known to those skilled in the art, and the energy-saving control method and system of the ultrasonic washing machine in this embodiment are described more simply for the device disclosed in the embodiments, and the relevant points refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. The energy-saving control method of the ultrasonic washing machine is characterized by comprising the following steps of:
collecting basic information of a cleaning target object, and identifying a cleaning area of the cleaning target object to obtain a cleaning characteristic set;
acquiring basic information, a cleaning element and control parameters of the rinsing machine, performing cleaning characteristic analysis on the cleaning element and the control parameters based on the basic information, and determining cleaning characteristic parameters;
based on the cleaning characteristic parameters, performing control energy consumption analysis of the cleaning parameters, and fitting an energy-saving relational expression of each cleaning characteristic parameter;
matching the cleaning characteristic set with the cleaning characteristic parameters to determine a cleaning-element control relationship;
Based on the cleaning-element control relation and the energy-saving relation, carrying out energy-saving optimizing and determining control parameters of each element;
and generating a control instruction according to the control parameters of each element, and sending the control instruction to a console for element operation control.
2. The method of claim 1, wherein the collecting basic information of the cleaning target and identifying the cleaning area of the cleaning target to obtain the cleaning feature set includes:
determining cleaning materials, cleaning volumes and object shapes according to the basic information of the cleaning target object;
based on the basic information, connecting a cleaning article preprocessing module to extract cleaning pre-analysis data of a cleaning target object;
performing identification and extraction from the cleaning and pre-analysis data to obtain an identification cleaning area and an identification cleaning stain category;
and carrying out cleaning characteristic analysis according to the cleaning material, the cleaning volume and the object shape, combining the identification cleaning area and the identification cleaning stain category, and determining the cleaning characteristic set.
3. The method of claim 2, wherein the connecting the cleaning article pre-processing module extracts cleaning pre-analysis data for the cleaning target, previously comprising:
Constructing a cleaning article pretreatment module, wherein the cleaning article pretreatment module comprises a data input interface and an article scanning identification interface;
performing spot recognition or process flow recognition on an object to be cleaned through manual or machine recognition equipment, determining a spot recognition area, and generating cleaning area description information or area identification information;
accessing the cleaning region description information into the data input interface, and extracting the position and the cleaning type of the cleaning region description information;
the area identification information is connected to the article scanning identification interface, and the cleaning area is scanned and identified based on the identification information, so that the cleaning area is obtained;
integrating the position area information and the cleaning category information extracted by the description information with the cleaning area identified by scanning to construct cleaning pre-analysis data of each cleaning target object.
4. The method of claim 2, wherein said determining the set of cleaning features from the cleaning material, the cleaning volume, the object shape, in combination with the identified cleaning region and the identified cleaning stain class, performing a cleaning feature analysis, comprises:
performing cleaning sound wave distribution coverage analysis according to the cleaning volume, the object shape and the cleaning area, and determining the characteristics of a cleaning sound wave control range;
Performing cleaning control parameters and parameter control threshold range analysis according to the cleaning materials and cleaning stain types, and determining cleaning parameters and control characteristics;
and obtaining the cleaning characteristic set according to the cleaning sound wave control range characteristics, the cleaning parameters and the control characteristics.
5. The method of claim 1, wherein performing a cleaning signature analysis on the cleaning element, control parameters based on the base information, determining cleaning signature parameters comprises:
based on the basic information of the rinsing machine, obtaining the volume of the water tank, the information of the cleaning elements and the distribution information of the cleaning elements;
analyzing the type, the cleaning power and the control range of the cleaning elements according to the cleaning element information and the distribution information thereof, and determining the control parameters of each cleaning element, wherein the control parameters comprise parameter attribute characteristics and parameter control ranges;
performing ultrasonic water level-ultrasonic relation analysis according to the water tank volume, and determining water level control cleaning characteristics;
and establishing mapping relation between each cleaning element and distribution information, parameter attribute characteristics, parameter control range and water level control cleaning characteristics of each cleaning element to obtain the cleaning characteristic parameters.
6. The method of claim 1, wherein performing energy-saving optimization based on the purge-element control relationship, energy-saving relationship, determining control parameters for each element, comprises:
Fitting a linear relation formula of the cleaning target object with a cleaning effect based on the cleaning-element control relation to obtain a cleaning evaluation linear relation;
acquiring a cleaning target value of a cleaning target object based on the cleaning feature set;
taking the cleaning target value as a constraint condition, and constructing an adaptability function based on the cleaning evaluation linear relation and the energy-saving relation by adding a maximum cleaning evaluation target and a minimum energy consumption target;
performing cleaning latitude analysis based on the cleaning target object and the cleaning target value, and determining an adjustment coefficient;
and adding the adjustment coefficient into the fitness function, and carrying out cleaning-element control parameter optimizing based on the fitness function to obtain the control parameters of the elements, wherein the control parameters are control parameters meeting the cleaning effect and having the minimum energy consumption.
7. The method of claim 5, wherein performing component cleaning category, cleaning power, control range analysis based on the cleaning component information and the distribution information thereof, determining control parameters for each cleaning component comprises:
according to the category of the cleaning element, carrying out effect characteristic analysis and determining parameter attribute characteristics and cleaning effect distribution characteristics;
Acquiring an adjustment angle of a cleaning element, performing adjustment distribution traversal based on the distribution information and the adjustment angle of the cleaning element information, and determining an angle adjustment parameter set;
and obtaining cleaning control ranges based on the cleaning effect distribution characteristics and the angle adjustment parameter sets, analyzing the corresponding relation of parameter control on each cleaning control range according to the influence of cleaning power on the cleaning effect distribution characteristics, and determining the parameter control ranges.
8. An energy saving control system for an ultrasonic washing machine, characterized by comprising:
the cleaning region identification module is used for collecting basic information of a cleaning target object and identifying a cleaning region of the cleaning target object to obtain a cleaning feature set;
the cleaning characteristic analysis module is used for acquiring basic information, cleaning elements and control parameters of the rinsing machine, carrying out cleaning characteristic analysis on the cleaning elements and the control parameters based on the basic information, and determining cleaning characteristic parameters;
the control energy consumption analysis module is used for carrying out control energy consumption analysis on the cleaning parameters based on the cleaning characteristic parameters and fitting energy-saving relation formulas of the cleaning characteristic parameters;
The control relation acquisition module is used for utilizing the cleaning characteristic set to match with the cleaning characteristic parameters so as to determine a cleaning-element control relation;
the energy-saving optimizing module is used for carrying out energy-saving optimizing based on the cleaning-element control relation and the energy-saving relation and determining control parameters of all elements;
the element operation control module is used for generating a control instruction according to the control parameters of each element and sending the control instruction to the console for element operation control.
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