A cleaning system and method for an ice maker

Abstract

The application provides a cleaning system and method of an ice maker, and relates to the technical field of ice maker cleaning control.The application quantifies the pollution degree by monitoring the difference between the conductivity, pH value and turbidity and the reference conductivity, reference pH value and reference turbidity, and automatically adjusts the cleaning agent dosage and clean water spraying parameters accordingly, thereby ensuring the high pertinence and effectiveness of the cleaning process.The method can not only accurately control the cleaning agent dosage, reduce the cleaning agent dosage, reduce waste, and reduce the impact of chemicals on the environment, but also introduces a secondary evaluation mechanism based on reflectance spectrum to ensure thorough cleaning.The reflectance spectrum can identify contaminants such as scale that are difficult to remove, and supplementary cleaning is performed on the areas that do not meet the standards until the standards are met, thereby ensuring the thoroughness of the cleaning.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of ice maker cleaning control, and in particular to an ice maker cleaning system and method. BACKGROUND

[0002] Ice makers play an important role in many fields such as catering and laboratories, and their sanitary conditions directly affect the quality of the final product. However, after long-term use, dirt, bacteria and mineral deposits can easily accumulate inside the ice maker, which not only affects the ice-making efficiency but also may pose a health risk. Traditional cleaning methods often rely solely on manual operation, lack scientificity, and are difficult to ensure ideal cleaning effect every time. Therefore, it is particularly important to develop an ice maker cleaning method that is efficient, automated, can accurately assess the degree of pollution, and determines the cleaning agent spraying amount, water spraying intensity and spraying duration according to the degree of pollution, so as to save the use amount of cleaning agent and water.

[0003] Therefore, it is necessary to provide an ice maker cleaning system and method to solve the above technical problems. SUMMARY

[0004] To solve the above technical problems, the present application provides an ice maker cleaning system and method, which achieves the beneficial effects of efficiency, automation, precise control and cost saving.

[0005] The present application provides an ice maker cleaning method, which comprises the following steps:

[0006] S1: Pre-spraying and flushing the inside of the ice maker by the water spraying device for a preset pre-spraying duration, and obtaining the current conductivity, current pH value and current turbidity of the water flow discharged from the ice maker after the pre-spraying and flushing is completed;

[0007] S2: Calculating the difference between the current conductivity and the reference conductivity, the absolute value of the difference between the current pH value and the reference pH value, and the difference between the current turbidity and the reference turbidity, respectively, to obtain a first conductivity difference, a first pH value difference and a first turbidity difference, wherein the reference conductivity, the reference pH value and the reference turbidity are values measured after spraying water in a clean state inside the ice maker;

[0008] S3: Calculating the degree of pollution inside the ice maker based on the first conductivity difference, the first pH value difference and the first turbidity difference, and calculating the cleaning agent spraying amount based on the degree of pollution;

[0009] S4: Calculating the water spraying intensity and water spraying duration based on the obtained cleaning agent spraying amount, and calculating the second conductivity difference, the second pH value difference and the second turbidity difference of the water flow discharged from the ice maker after cleaning is completed;

[0010] S5: If any one of the second conductivity difference, the second pH difference and the second turbidity difference exceeds the corresponding preset threshold value, it is determined that the cleaning is insufficient, and S2 is executed again, if the conductivity difference, the pH difference and the turbidity difference do not exceed the corresponding preset threshold value, it is determined that the cleaning is sufficient, and S6 is executed;

[0011] S6: The inside of the ice maker is subjected to drying treatment, after drying is completed, the reflectivity spectrum of each region is obtained and compared with the reference spectrum, if the difference between the reflectivity spectrum of any region and the reference spectrum exceeds the preset spectrum difference threshold value, multiple targeted cleaning of the region is performed until the difference between the reflectivity spectrum of the region and the reference spectrum is reduced to within the preset spectrum difference threshold value, wherein the reference reflectivity spectrum is the data of the reflection of light in a specific wavelength range by different regions inside the ice maker in a brand-new and completely clean state of the ice maker.

[0012] Preferably, in step S3, the calculation formula of the contamination degree is:

[0013] I = ω E · ΔE + ω pH · ΔpH + ω T · ΔT

[0014] Wherein, I is the contamination degree, ΔE is the first conductivity difference, ΔpH is the first pH difference, ΔT is the first turbidity difference, ω E , ω pH and ω T are weight coefficients of the first conductivity difference, the first pH difference and the first turbidity difference respectively.

[0015] Preferably, the determination steps of ω E , ω pH and ω T are as follows:

[0016] Through multiple tests, data of the cleaning process is collected, including the conductivity difference, the pH difference and the turbidity difference before and after each cleaning, and the final cleaning effect score;

[0017] The correlation between the conductivity difference, the pH difference and the turbidity difference and the cleaning effect score is analyzed by Pearson correlation coefficient respectively.

[0018] Based on the size of the obtained Pearson correlation coefficient, the correlation value is converted into the corresponding weight coefficient.

[0019] Preferably, in step S3, the calculation formula of the cleaning agent spraying amount is:

[0020]

[0021] Wherein, Q is the cleaning agent spraying amount, Q minQ is the minimum cleaning agent spraying amount, k max k is the maximum cleaning agent spraying amount, Q Q I is the steepness parameter, I0 is the pollution degree turning point.

[0022] Preferably, in step S4, the calculation formula of the water spraying intensity is:

[0023]

[0024] S is the water spraying intensity, S min S is the minimum water spraying intensity, S max k is the maximum water spraying intensity, Q S I is the steepness parameter, Q0 is the cleaning agent spraying amount turning point.

[0025] Preferably, k Q and k S The values are obtained by fitting the experimental data using a nonlinear regression method.

[0026] Preferably, in step S4, the calculation formula of the water spraying duration is:

[0027]

[0028] T is the water spraying duration, T min T is the minimum water spraying duration, T max Q is the cleaning agent spraying amount, and n is the power index.

[0029] Preferably, in step S6, if the number of targeted cleaning times exceeds the preset number threshold, an abnormal cleaning is prompted.

[0030] Preferably, in step S6, the reference reflectance spectrum is regularly calibrated and updated according to the wear degree of different regions inside the ice maker.

[0031] The application also provides a cleaning system of an ice maker, which is applied to the cleaning method of the ice maker.

[0032] The data acquisition module is configured to perform pre-spraying flushing on the inside of the ice maker through the water spraying device for a preset pre-spraying duration, and acquire the current conductivity, the current pH value and the current turbidity of the water flow discharged by the ice maker after the pre-spraying flushing is completed.

[0033] A parameter calculation module is configured to calculate a first conductivity difference, a first pH difference, and a first turbidity difference, respectively, by calculating a difference between the current conductivity and a reference conductivity, an absolute value of a difference between the current pH value and a reference pH value, and a difference between the current turbidity and a reference turbidity, wherein the reference conductivity, the reference pH value, and the reference turbidity are values measured after spraying clean water in a cleaning state in the ice maker.

[0034] A cleaning agent spraying amount calculation module is configured to calculate a contamination degree of the ice maker based on the first conductivity difference, the first pH difference, and the first turbidity difference, and calculate a cleaning agent spraying amount based on the contamination degree.

[0035] A clean water spraying water amount calculation module is configured to calculate a clean water spraying intensity and a clean water spraying time length based on the obtained cleaning agent spraying amount, and calculate a second conductivity difference, a second pH difference, and a second turbidity difference of a water flow discharged from the ice maker after cleaning.

[0036] A cleaning effect evaluation and judgment module is configured to determine that the cleaning is insufficient if any one of the second conductivity difference, the second pH difference, and the second turbidity difference exceeds a corresponding preset threshold value, return to perform S2, and determine that the cleaning is sufficient if the conductivity difference, the pH difference, and the turbidity difference all do not exceed the corresponding preset threshold value, and perform S6.

[0037] A cleaning effect secondary evaluation module is configured to perform a drying treatment on the ice maker, and after the drying is completed, obtain and compare a reflectivity spectrum of each region and a reference spectrum, and perform multiple targeted cleanings on a region if a difference between the reflectivity spectrum of the region and the reference spectrum exceeds a preset spectrum difference threshold value until the difference between the reflectivity spectrum of the region and the reference spectrum is reduced to within the preset spectrum difference threshold value, wherein the reference reflectivity spectrum is data of light reflection of different regions in the ice maker within a specific wavelength range in a brand-new and completely clean state of the ice maker.

[0038] Compared with the related art, the cleaning system and method of the ice maker provided by the present application has the following advantages

[0039] Advantages:

[0040] The application quantifies the degree of pollution by monitoring the difference between the conductivity, pH value and turbidity and the reference conductivity, reference pH value and reference turbidity, and automatically adjusts the cleaning agent dosage and fresh water spraying parameters accordingly, ensuring the high pertinence and effectiveness of the cleaning process. This method not only accurately controls the amount of cleaning agent used, reduces the amount of cleaning agent used, reduces waste, and reduces the impact of chemicals on the environment, but also introduces a secondary evaluation mechanism based on reflectance spectrum to ensure thorough cleaning. Reflectance spectrum can identify contaminants such as scale that are difficult to remove, and supplementary cleaning is performed on areas that do not meet the standard until the standard is met, ensuring the thoroughness of the cleaning. In addition, the reference reflectance spectrum is calibrated regularly according to the actual situation, taking into account the impact of wear and tear caused by long-term use of the ice maker on the data, enhancing adaptability and flexibility. BRIEF DESCRIPTION OF DRAWINGS

[0041] Figure 1 A cleaning method flow chart of an ice maker according to the present application is shown in

[0042] Figure 2 A cleaning system module structure diagram of an ice maker according to the present application is shown in DETAILED DESCRIPTION

[0043] The application will be further described below in conjunction with the drawings and examples. It should be understood that the specific examples described herein are intended to explain the application, not to limit it. In addition, it should be noted that only the parts related to the application are shown in the drawings, not all the structures. Furthermore, the examples in the application and the features in the examples can be combined with each other without conflict.

[0044] In addition, it should be noted that only the parts related to the application are shown in the drawings, not all the contents. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowchart describes each operation (or step) as a sequential process, many of the operations can be implemented in parallel, concurrently or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when its operations are completed, but can also have additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, etc.

[0045] Example 1

[0046] A cleaning method for an ice maker, in the specific implementation process, as shown in Figure 1 A cleaning method flow chart of an ice maker is shown, which includes:

[0047] Step S1: Pre-spraying and flushing the ice maker by the water spraying device for a preset pre-spraying time, and obtaining the current conductivity, current pH value and current turbidity of the water flow discharged from the ice maker after the pre-spraying and flushing.

[0048] In the implementation process, the water spraying device of the ice maker is started, and the internal part of the ice maker is pre-sprayed and flushed for a preset time length, for example, 1 minute. The pre-spraying and flushing is used to preliminarily remove the loose dirt and impurities on the surface. At the same time, immediately after the pre-spraying process is completed, the water flow sample discharged from the water outlet of the ice maker is collected, and the current conductivity, pH value and turbidity of the water flow sample are measured respectively. These data will be used as an important basis for evaluating the pollution degree in the subsequent cleaning step. In this way, the key water quality parameters reflecting the cleaning state of the internal wall of the ice maker are obtained, and scientific basis is provided for the calculation of the amount of cleaning agent in the next step.

[0049] Step S2: calculating the difference between the current conductivity and the reference conductivity, the absolute value of the difference between the current pH value and the reference pH value, and the difference between the current turbidity and the reference turbidity, to obtain the first conductivity difference, the first pH value difference and the first turbidity difference. The reference conductivity, the reference pH value and the reference turbidity are the values measured after the internal part of the ice maker is sprayed with clean water in a clean state.

[0050] In the implementation process, the reference conductivity, the reference pH value and the reference turbidity of the internal part of the ice maker in a completely clean state need to be determined first. For example, these reference values are obtained by flushing the internal wall of the ice maker with clean water after the ice maker is thoroughly cleaned and dried, and immediately measuring the conductivity, pH value and turbidity of the discharged water sample. Usually, these values are determined by test when the ice maker is brand new and unused, and saved in the storage system of the ice maker. Then, in each execution of the cleaning program, the current conductivity collected in the pre-spraying step is subtracted from the above-mentioned reference conductivity to obtain the first conductivity difference. Similarly, the absolute value of the difference between the current pH value and the reference pH value is calculated to obtain the first pH value difference, and the difference between the current turbidity and the reference turbidity is calculated to obtain the first turbidity difference. These three differences directly reflect the pollution degree of the internal part of the ice maker relative to the clean state, and provide a quantitative basis for subsequent evaluation of the pollution level and development of targeted cleaning strategies.

[0051] Step S3: calculating the pollution degree of the internal part of the ice maker based on the first conductivity difference, the first pH value difference and the first turbidity difference, and calculating the cleaning agent spraying amount based on the pollution degree.

[0052] Specifically, in step S3, the calculation formula of the pollution degree is:

[0053] I = ω E · ΔE + ω pH• ΔpH + ω T • ΔT

[0054] wherein I is the pollution degree, ΔE is the first conductivity difference, ΔpH is the first pH value difference, ΔT is the first turbidity difference, and ω E , ω pH , and ω T are the weight coefficients of the first conductivity difference, the first pH value difference, and the first turbidity difference, respectively.

[0055] In the implementation process, the pollution degree inside the ice maker needs to be obtained. According to the first conductivity difference, the first pH value difference, and the first turbidity difference obtained in step S2, the overall pollution degree inside the ice maker is calculated by using a pre-set pollution degree calculation formula. The formula takes into account the different influences of the three parameters on the pollution degree and calculates the pollution degree by weighted fusion.

[0056] Specifically, the determination steps of ω E , ω pH , and ω T are as follows:

[0057] Through multiple tests, data of the cleaning process is collected, including the conductivity difference, the pH value difference, and the turbidity difference before and after each cleaning, and the final cleaning effect score;

[0058] The correlation between the conductivity difference, the pH value difference, and the turbidity difference and the cleaning effect score is analyzed by using the Pearson correlation coefficient.

[0059] Based on the size of the obtained Pearson correlation coefficient, the correlation value is converted into the corresponding weight coefficient.

[0060] In the implementation process, through multiple tests, data of the cleaning process is collected. For example, 50 tests are performed, and the conductivity, the pH value, and the turbidity before and after cleaning, and the final cleaning effect score are recorded each time. The cleaning effect score ranges from 0 to 100. The trained professionals visually inspect the inside of the ice maker after cleaning, and the scoring standard is divided into several levels. The cleaning effect score is obtained according to the judgment standard of different levels. The collected data is preprocessed, including removing outliers and data standardization. The correlation between the conductivity difference, the pH value difference, and the turbidity difference and the cleaning effect score is analyzed by using the Pearson correlation coefficient. The Pearson correlation coefficient between the conductivity difference and the cleaning effect score is 0.8, the Pearson correlation coefficient between the conductivity difference and the cleaning effect score is 0.6, the Pearson correlation coefficient between the turbidity difference and the cleaning effect score is 0.4, the total correlation coefficient is 1.8, and the normalized correlation coefficient is obtained. The corresponding weight coefficients are obtained.

[0061] Specifically, in step S3, the calculation formula of the cleaning agent spraying amount is:

[0062]

[0063] Wherein, Q is the cleaning agent spraying amount, Q min is the minimum cleaning agent spraying amount, Q max is the maximum cleaning agent spraying amount, k Q is the steepness parameter, I is the pollution degree, I0 is the pollution degree turning point.

[0064] In the specific implementation process, the cleaning agent spraying amount is calculated by the logistic function model, in this formula, I0 is the position of the pollution degree turning point, which indicates the transition point from slow growth to rapid growth of the function, specifically, as I increases or decreases and moves away from I0, the function value will quickly approach 1 or 0, which is understood as a critical value of the pollution degree, when the pollution degree I reaches I0, the spraying amount of cleaning agent reaches a critical level, at this time, increasing more cleaning agent will begin to significantly improve the cleaning effect, when I min is the minimum cleaning agent spraying amount, Q max is the maximum cleaning agent spraying amount, which is determined according to the specific specifications of different ice machines.

[0065] Step S4: Calculate the water spraying intensity and water spraying time based on the obtained cleaning agent spraying amount, and calculate the second conductivity difference, the second pH value difference and the second turbidity difference of the water flow discharged from the ice machine after cleaning.

[0066] In the specific implementation process, the water spraying intensity and water spraying time are calculated by the preset formula, and the second conductivity difference, the second pH value difference and the second turbidity difference of the water flow discharged from the ice machine after water spraying are obtained in time, which are used for subsequent evaluation and judgment of the cleaning effect.

[0067] Specifically, in step S4, the calculation formula of the water spraying intensity is:

[0068]

[0069] Wherein, S is the water spraying intensity, S min is the minimum water spraying intensity, S max is the maximum water spraying intensity, k S is the steepness parameter, Q0 is the cleaning agent spraying amount turning point.

[0070] In the implementation process, according to the cleaning agent spraying amount calculated in step S3, the water spraying intensity is calculated using the above formula, and the ice maker is deeply cleaned according to the calculated water spraying intensity. Similarly, the water spraying intensity is calculated by using the logistic function model, wherein S min is the minimum water spraying intensity, corresponding to the minimum cleaning agent spraying amount, max is the maximum water spraying intensity, corresponding to the maximum cleaning agent spraying amount, which is obtained by experimental test and data analysis, and Q0 is the cleaning agent spraying amount turning point, which is a critical point. Near this value, the change rate of the water spraying intensity will change significantly.

[0071] Specifically, the values of k Q and k S are obtained by fitting the experimental data using a nonlinear regression method.

[0072] In the implementation process, the values of k Q and k S are obtained by fitting the experimental data, which are used to control the slope of the curve. By performing multiple experiments, recording the cleaning agent spraying amount and its corresponding cleaning effect under different pollution levels, and recording the cleaning effect corresponding to different water spraying intensities under different cleaning agent spraying amounts, the experimental data is fitted using a nonlinear regression method to determine the optimal steepness parameter, so that the relationship curve between the cleaning agent spraying amount and the pollution level, and the water spraying intensity and the cleaning agent spraying amount conforms to the actual cleaning effect.

[0073] Specifically, in step S4, the calculation formula of the water spraying duration is:

[0074]

[0075] wherein T is the water spraying duration, T min is the minimum water spraying duration, T max is the maximum water spraying duration, Q is the cleaning agent spraying amount, and n is the power index.

[0076] In the implementation process, there is a nonlinear relationship between the spraying duration and the cleaning agent spraying amount, and a power function is used to represent this relationship. The power function can better capture the change in the growth rate of the spraying duration when the spraying amount increases. T min is the minimum water spraying duration, corresponding to the minimum cleaning agent spraying amount, and T maxThe maximum water spraying time corresponds to the maximum cleaning agent spraying amount, Q is the cleaning agent spraying amount, n is the power index for controlling the shape of the curve, when n>1, the water spraying time increases at an accelerated rate with the increase of the cleaning agent spraying amount, which is suitable for the case that a longer cleaning time is needed when the pollution degree is high, when n<1, the water spraying time increases at a decelerated rate with the increase of the cleaning agent spraying amount, which is suitable for the case that the water spraying time is rapidly increased at the initial stage, but the growth rate is slowed down subsequently.

[0077] Step S5: If any one of the second conductivity difference, the second pH difference and the second turbidity difference exceeds the corresponding preset threshold value, it is determined that the cleaning is insufficient, and step S2 is returned to be executed, if the conductivity difference, the pH difference and the turbidity difference all do not exceed the corresponding preset threshold value, it is determined that the cleaning is sufficient, and step S6 is executed.

[0078] In the specific implementation process, in step S4, the second conductivity difference, the second pH difference and the second turbidity difference of the water flow discharged from the ice maker after the cleaning is completed have been calculated, the second conductivity difference is compared with the preset conductivity difference threshold value, the second pH difference is compared with the preset pH difference threshold value, and the second turbidity difference is compared with the preset turbidity difference threshold value, if any one of the differences exceeds the corresponding preset threshold value, it is determined that the cleaning is insufficient, and step S2 is returned to be executed, if all the differences do not exceed the corresponding preset threshold value, step S6 is executed.

[0079] Step S6: The ice maker is subjected to a drying treatment, after the drying is completed, the reflectivity spectrum of each region is obtained and compared with the reference spectrum, if the difference between the reflectivity spectrum of any region and the reference spectrum exceeds the preset spectrum difference threshold value, multiple targeted cleanings of the region are performed until the difference between the reflectivity spectrum of the region and the reference spectrum is reduced to within the preset spectrum difference threshold value, wherein the reference reflectivity spectrum is the data of the reflection of light in a specific wavelength range by different regions inside the ice maker in a brand-new and completely clean state of the ice maker.

[0080] In the implementation process, after the water spray cleaning is completed, the remaining moisture inside the ice maker is removed by drying, the different areas inside the ice maker are scanned using a spectrometer, the current reflectance spectrum data is obtained, the current reflectance spectrum is compared with the reference reflectance spectrum, the reflectance spectrum difference of each area is calculated, for example, the difference is quantified using root mean square error, based on the preset spectrum difference threshold, if the reflectance spectrum difference of any area inside the ice maker exceeds the preset spectrum difference threshold, it is judged that there is residual contamination in the area, and targeted cleaning needs to be performed, the targeted cleaning includes but is not limited to local spraying and ultrasonic cleaning, after each cleaning, the reflectance spectrum of the area is reacquired and compared with the reference reflectance spectrum, until the reflectance spectrum of the area and the reference reflectance spectrum are within the preset spectrum difference threshold, the cleaning of the ice maker is completed, wherein the preset spectrum difference threshold is determined according to experimental data and industry standards, and the threshold represents the maximum allowed reflectance spectrum difference.

[0081] Specifically, in step S6, if the number of times of targeted cleaning exceeds the preset number of times threshold, an abnormal cleaning is prompted.

[0082] In the implementation process, a preset number of times threshold is set, representing the maximum allowed number of times of targeted cleaning, if the reflectance spectrum difference of a certain area still exceeds the preset spectrum difference threshold after the cleaning number reaches the preset number of times threshold, an abnormal cleaning is prompted, including but not limited to system alarm, display of error information or sending of a notification to an operator.

[0083] Specifically, in step S6, the reference reflectance spectrum is regularly calibrated and updated according to the wear degree of different areas inside the ice maker, and the calibration frequency can be determined according to the use frequency and wear condition of the ice maker.

[0084] In the implementation process, the wear degree of different areas inside the ice maker changes over time, which affects the determination of the reflectance spectrum, so the reference reflectance spectrum needs to be regularly calibrated and updated.

[0085] The working principle of the cleaning method of the ice maker provided by the application is as follows:

[0086] The inside of the ice maker is cleaned through a multi-step cleaning and detection process. First, the current conductivity, current pH value and current turbidity are obtained through pre-spraying flushing, then the contamination degree is calculated based on these data and the cleaning agent spraying amount is determined, then the water spraying intensity and water spraying time are adjusted according to the cleaning agent spraying amount, and the conductivity, pH value and turbidity are detected again after cleaning to evaluate the cleaning effect. If the cleaning is insufficient, the calculation and cleaning are returned, and if the cleaning is sufficient, the drying treatment is carried out, and the cleanliness of each area is further verified through spectral detection. The areas that do not meet the standard are cleaned repeatedly until the difference between the reflectivity spectrum of all areas and the reference spectrum is within the preset threshold. Through multiple cycles of cleaning and strict detection, the inside of the ice maker is thoroughly cleaned, and the amount of cleaning agent and the amount of water are accurately controlled through each step, achieving the beneficial effects of high efficiency, automation, accuracy and cost saving.

[0087] Embodiment two

[0088] A cleaning system of an ice maker is applied to a cleaning method of an ice maker. In the specific implementation process, as shown in Figure 2 The cleaning system of the ice maker includes:

[0089] The data acquisition module 100 is used to pre-spray flush the inside of the ice maker through the water spraying device for a preset pre-spraying time. After the pre-spraying flushing is completed, the current conductivity, current pH value and current turbidity of the water flow discharged from the ice maker are obtained.

[0090] The parameter calculation module 200 is used to calculate the difference between the current conductivity and the reference conductivity, the absolute value of the difference between the current pH value and the reference pH value, and the difference between the current turbidity and the reference turbidity, to obtain the first conductivity difference, the first pH value difference and the first turbidity difference. The reference conductivity, the reference pH value and the reference turbidity are the values measured after the inside of the ice maker is sprayed with clean water in a clean state.

[0091] The cleaning agent spraying amount calculation module 300 is used to calculate the contamination degree of the inside of the ice maker based on the first conductivity difference, the first pH value difference and the first turbidity difference, and calculate the cleaning agent spraying amount based on the contamination degree.

[0092] The water spraying water amount calculation module 400 is used to calculate the water spraying intensity and water spraying time based on the obtained cleaning agent spraying amount, and calculate the second conductivity difference, the second pH value difference and the second turbidity difference of the water flow discharged from the ice maker after cleaning.

[0093] The cleaning effect evaluation judgment module 500 is used for judging that the cleaning is insufficient if any one of the second conductivity difference, the second pH value difference and the second turbidity difference exceeds the corresponding preset threshold value, returning to execute S2, and judging that the cleaning is sufficient if the conductivity difference, the pH difference and the turbidity difference all do not exceed the corresponding preset threshold value, executing S6.

[0094] The cleaning effect secondary evaluation module 600 is used for performing drying treatment on the ice maker, obtaining and comparing the reflectivity spectrum and the reference spectrum of each region after the drying is completed, performing multiple targeted cleanings on the region if the difference between the reflectivity spectrum and the reference spectrum of any region exceeds the preset spectrum difference threshold value, and reducing the difference between the reflectivity spectrum and the reference spectrum of the region to within the preset spectrum difference threshold value until the difference between the reflectivity spectrum and the reference spectrum of the region is reduced to within the preset spectrum difference threshold value, wherein the reference reflectivity spectrum is data of light reflection of different regions in the ice maker within a specific wavelength range in a brand-new and completely clean state of the ice maker.

[0095] The working principle of the cleaning system of the ice maker provided by the application is as follows:

[0096] The multiple modules work cooperatively to ensure complete cleaning of the ice maker. First, the data acquisition module 100 performs pre-spraying and washing and collects the current conductivity, the current pH value and the current turbidity, then the parameter calculation module 200 calculates the difference between the conductivity, the pH value and the turbidity and the reference value, the cleaning agent spraying amount calculation module 300 determines the cleaning agent amount according to the differences, the water spraying water amount calculation module 400 adjusts the spraying intensity and duration based on the cleaning agent amount, and the conductivity, the pH value and the turbidity are detected again after cleaning, the cleaning effect evaluation judgment module 500 determines whether re-cleaning is needed according to the detection result, if the cleaning is insufficient, the parameter calculation module 200 is returned to recalculate and clean, if the cleaning is sufficient, the cleaning effect secondary evaluation module 600 is entered, the cleaning effect secondary evaluation module 600 performs drying treatment on the ice maker and verifies the cleanliness of each region through spectrum detection, multiple targeted cleanings are performed on the region that does not meet the standard until the difference between the reflectivity spectrum and the reference spectrum of all regions is reduced to within the preset threshold value, and the whole ice maker cleaning is completed.

[0097] The present application is described with reference to flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device that implements the flowcharts and / or block diagrams. Figure 1 The flow or the combination of multiple flows and / or blocksFigure 1 means for performing the function specified by the block or blocks.

[0098] Those skilled in the art can understand that all or part of the steps in the above-mentioned embodiments can be completed by instructing the relevant hardware through a program, and the program can be stored in a computer readable storage medium, including Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically-Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory (CD-ROM) or other optical disk storage, magnetic disk storage, magnetic tape storage, or any other medium that can be used to carry or store data which can be used by a computer.

[0099] It should also be noted that the terms "comprising" "containing" or any other variant thereof are intended to cover a non-exclusive inclusion, such that a process, method, article or apparatus that comprises a list of elements does not include only those elements, but can also include other elements not expressly listed or inherent to such process, method, article or apparatus. Without further limitation, an element defined by the statement "comprising a" does not exclude the existence of additional identical elements in the process, method, article or apparatus that includes the element.

Claims

1. A method for cleaning an ice maker, characterized in that, The cleaning method includes the following steps: S1: The interior of the ice maker is pre-sprayed and rinsed by a clean water spraying device for a preset pre-spraying time. After the pre-spraying and rinsing is completed, the current conductivity, current pH value and current turbidity of the water discharged from the ice maker are obtained. S2: Calculate the difference between the current conductivity and the reference conductivity, the absolute value of the difference between the current pH value and the reference pH value, and the difference between the current turbidity and the reference turbidity to obtain the first conductivity difference, the first pH value difference, and the first turbidity difference. The reference conductivity, reference pH value, and reference turbidity are the values ​​measured after spraying clean water inside the ice maker in a clean state. S3: Calculate the degree of contamination inside the ice maker based on the first conductivity difference, the first pH difference, and the first turbidity difference, and calculate the amount of cleaning agent to be sprayed based on the degree of contamination; S4: Calculate the water spray intensity and water spray duration based on the obtained cleaning agent spray amount, and calculate the second conductivity difference, second pH difference and second turbidity difference of the water flow discharged from the ice maker after cleaning. S5: If any of the differences among the second conductivity difference, the second pH difference, and the second turbidity difference exceeds the corresponding preset threshold, it is determined that the cleaning is insufficient and returns to S2. If the conductivity difference, pH difference, and turbidity difference do not exceed the corresponding preset threshold, it is determined that the cleaning is sufficient and S6 is executed. S6: Dry the inside of the ice maker. After drying, acquire and compare the reflectance spectrum of each area with the reference spectrum. If the difference between the reflectance spectrum of any area and the reference spectrum exceeds the preset spectral difference threshold, perform multiple targeted cleanings on that area until the difference between the reflectance spectrum of that area and the reference spectrum is reduced to within the preset spectral difference threshold. The reference reflectance spectrum is the data on the reflection of light in different areas of the ice maker within a specific wavelength range when the ice maker is brand new and completely clean.

2. The cleaning method for an ice maker according to claim 1, characterized in that, In step S3, the formula for calculating the degree of pollution is: I=ω E ·ΔE+ω pH ·ΔpH+ω T ·ΔT Where I represents the degree of pollution, ΔE represents the first conductivity difference, ΔpH represents the first pH difference, ΔT represents the first turbidity difference, and ω E ω pH and ω T These are the weighting coefficients for the first conductivity difference, the first pH difference, and the first turbidity difference, respectively.

3. The cleaning method for an ice maker according to claim 2, characterized in that, ω E ω pH and ω T The steps to determine this are as follows: Data on the cleaning process was collected through multiple experiments, including the difference in conductivity, pH value, and turbidity before and after each cleaning, as well as the final cleaning effect score. The correlation between the difference in conductivity, the difference in pH, and the difference in turbidity and the cleaning effect score was analyzed using Pearson correlation coefficient. Based on the magnitude of the obtained Pearson correlation coefficient, the correlation value is converted into the corresponding weight coefficient.

4. The cleaning method for an ice maker according to claim 3, characterized in that, In step S3, the formula for calculating the amount of cleaning agent sprayed is: Where Q is the amount of cleaning agent sprayed, Q min Q is the minimum amount of cleaning agent to spray. max k is the maximum amount of cleaning agent sprayed. Q I represents the steepness parameter, I represents the pollution level, and I0 represents the inflection point of the pollution level.

5. A cleaning method for an ice maker according to claim 4, characterized in that, In step S4, the formula for calculating the intensity of the clean water spray is: Where S is the intensity of the clean water spray, S min For the minimum water spray intensity, S max For the maximum water spray intensity, k S Q0 is the steepness parameter and the inflection point of the cleaning agent spraying volume.

6. A cleaning method for an ice maker according to claim 5, characterized in that, k Q and k S The value was obtained by fitting the experimental data using a nonlinear regression method.

7. A cleaning method for an ice maker according to claim 6, characterized in that, In step S4, the formula for calculating the duration of clean water spraying is: Where T is the duration of clean water spraying, T min For the minimum duration of clean water spraying, T max The maximum water spraying time is denoted by , Q is the amount of cleaning agent sprayed, and n is the power exponent.

8. A cleaning method for an ice maker according to claim 7, characterized in that, In step S6, if the number of targeted cleaning operations exceeds a preset threshold, a cleaning abnormality is indicated.

9. A cleaning method for an ice maker according to claim 8, characterized in that, In step S6, the reference reflectance spectrum is periodically calibrated and updated according to the degree of wear in different areas inside the ice maker.

10. A cleaning system for an ice maker, characterized in that, A cleaning method for an ice maker as described in any one of claims 1 to 9, wherein the cleaning system comprises: Data acquisition module: Used to pre-spray and rinse the inside of the ice maker with a clean water spray device for a preset pre-spraying time. After the pre-spraying and rinsing is completed, the current conductivity, current pH value and current turbidity of the water discharged from the ice maker are acquired. Parameter calculation module: used to calculate the difference between the current conductivity and the reference conductivity, the absolute value of the difference between the current pH value and the reference pH value, and the difference between the current turbidity and the reference turbidity, respectively, to obtain the first conductivity difference, the first pH value difference, and the first turbidity difference. Among them, the reference conductivity, the reference pH value, and the reference turbidity are the values ​​measured after spraying clean water inside the ice maker in a clean state. Cleaning agent spraying amount calculation module: used to calculate the degree of contamination inside the ice maker based on the first conductivity difference, the first pH value difference and the first turbidity difference, and to calculate the cleaning agent spraying amount based on the degree of contamination; Water consumption calculation module for clean water spraying: It is used to calculate the water spraying intensity and duration based on the obtained cleaning agent spraying amount, and to calculate the second conductivity difference, second pH difference and second turbidity difference of the water discharged from the ice maker after cleaning. Cleaning effect evaluation and judgment module: If any of the differences among the second conductivity difference, the second pH difference, and the second turbidity difference exceeds the corresponding preset threshold, it is judged as insufficient cleaning and returns to execute S2; if the conductivity difference, pH difference, and turbidity difference do not exceed the corresponding preset threshold, it is judged as sufficient cleaning and executes S6. Secondary Cleaning Effect Evaluation Module: This module is used to dry the interior of the ice maker. After drying, it acquires and compares the reflectance spectrum of each area with the reference spectrum. If the difference between the reflectance spectrum of any area and the reference spectrum exceeds the preset spectral difference threshold, it performs multiple targeted cleanings on that area until the difference between the reflectance spectrum of that area and the reference spectrum is reduced to within the preset spectral difference threshold. The reference reflectance spectrum is the data on the reflection of light within a specific wavelength range in different areas inside the ice maker when it is brand new and completely clean.

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