Cleaning system and method of ice maker

Abstract

The invention provides a cleaning system and method of an ice maker, and relates to the technical field of cleaning control of the ice maker, the pollution degree is quantified by monitoring the difference between the conductivity, the pH value and the turbidity and the reference conductivity, the reference pH value and the reference turbidity respectively, and the dosage of a cleaning agent and clean water spraying parameters are automatically adjusted according to the pollution degree. High pertinence and effectiveness of the cleaning process are ensured, the method not only can accurately control the usage amount of the cleaning agent, reduce waste and reduce the influence of chemical substances on the environment, but also introduces a secondary evaluation mechanism based on a reflectivity spectrum to ensure thorough cleaning, and the method is suitable for large-scale popularization and application. And the reflectivity spectrum can identify water scale and other pollutants which are difficult to remove, and areas which do not reach the standard are subjected to supplementary cleaning until the standard is met, so that the thoroughness of cleaning is ensured.

Description

Technical Field

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

[0002] Ice machines play an important role in many fields such as catering and laboratories. Their sanitary conditions directly affect the quality of the final product. However, after long-term use, dirt, bacteria and mineral deposits are easily accumulated inside the ice machine, which not only affects the ice-making efficiency, but also may bring health risks. Traditional cleaning methods often rely solely on manual operations, lack scientificity, and it is difficult to ensure that the ideal cleaning effect can be achieved every time. Therefore, it is particularly important to develop an efficient, automated ice machine cleaning method that can accurately assess the degree of contamination, and determine the amount of detergent sprayed and the spray intensity and duration of clean water cleaning according to the degree of contamination, so as to save the use of detergent and clean water.

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

[0004] In order to solve the above technical problems, the present invention provides an ice machine cleaning system and method, which achieves the beneficial effects of high efficiency, automation, precise control and cost saving.

[0005] The present invention provides a method for cleaning an ice maker, the method comprising the following steps:

[0006] S1: Pre-spray and flush the inside of the ice maker through a clean water spray device according to a preset pre-spray time. After the pre-spray and flush is completed, the current conductivity, current pH value and current turbidity of the water flow discharged from the ice maker are obtained;

[0007] S2: respectively 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 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 the inside of the ice maker is sprayed with clean water in a clean state;

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

[0009] S4: calculating the intensity and duration of the clean water spraying 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 the cleaning is completed;

[0010] S5: If any difference 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 the process returns to S2; if the conductivity difference, the pH difference and the turbidity difference do not exceed the corresponding preset threshold, it is determined that the cleaning is sufficient, and the process proceeds to S6;

[0011] S6: Dry the inside of the ice maker. After drying, obtain and compare the reflectance spectrum of each area with a reference spectrum. If it is detected that the difference between the reflectance spectrum of any area and the reference spectrum exceeds a preset spectral difference threshold, perform multiple targeted cleanings on the area until the difference between the reflectance spectrum of the area and the reference spectrum falls within the preset spectral difference threshold, wherein the reference reflectance spectrum is data on the reflection of light within a specific wavelength range in different areas of the ice maker when the ice maker is brand new and completely clean.

[0012] Preferably, in step S3, the calculation formula for the pollution degree is:

[0013] I=ω E ·ΔE+ω pH ΔpH+ω T ΔT

[0014] Where I is the pollution 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 value difference and the first turbidity difference respectively.

[0015] Preferably, ω E ,ω pH and ω T The steps to determine are:

[0016] Collect data on the cleaning process through multiple tests, including conductivity difference, pH difference and turbidity difference before and after each cleaning, as well as the final cleaning effect score;

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

[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 for the amount of cleaning agent sprayed is:

[0020]

[0021] Among them, Q is the amount of cleaning agent sprayed, Q minis 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, I 0 The pollution level is at a turning point.

[0022] Preferably, in step S4, the calculation formula for the clean water spray intensity is:

[0023]

[0024] Among them, S is the intensity of clean water spray, S min is the minimum clean water spray intensity, S max is the maximum clean water spray intensity, k S is the steepness parameter, Q 0 It is the turning point of the cleaning agent spraying amount.

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

[0026] Preferably, in step S4, the calculation formula for the clean water spraying time is:

[0027]

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

[0029] Preferably, in step S6, if the number of multiple targeted cleanings exceeds a preset number threshold, a cleaning abnormality is prompted.

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

[0031] The present invention also provides an ice-making machine cleaning system, which is applied to an ice-making machine cleaning method. The cleaning system comprises:

[0032] Data acquisition module: used to pre-spray and flush the inside of the ice maker through a clean water spray device according to a preset pre-spray time. After the pre-spray and flushing is completed, the current conductivity, current pH value and current turbidity of the water flow discharged from the ice maker are obtained;

[0033] 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 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 the inside of the ice maker is sprayed with clean water in a clean state;

[0034] A 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 calculate the cleaning agent spraying amount based on the contamination degree;

[0035] A water spray water consumption calculation module: used to calculate the water spray intensity and water spray duration based on the obtained cleaning agent spray 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 is completed;

[0036] Cleaning effect evaluation and judgment module: if any difference among the second conductivity difference, the second pH value difference and the second turbidity difference exceeds the corresponding preset threshold value, it is judged that the cleaning is insufficient and the process returns to S2; if the conductivity difference, the pH difference and the turbidity difference do not exceed the corresponding preset threshold value, it is judged that the cleaning is sufficient and the process executes S6;

[0037] Cleaning effect secondary evaluation module: used to dry the inside of the ice maker. After drying, obtain and compare the reflectance spectrum of each area with the reference spectrum. If it is detected that the difference between the reflectance spectrum of any area and the reference spectrum exceeds the preset spectral difference threshold, perform multiple targeted cleanings on the area until the difference between the reflectance spectrum of the area and the reference spectrum falls within the preset spectral difference threshold. The reference reflectance spectrum is data on the reflection of light within a specific wavelength range in different areas of the ice maker when the ice maker is brand new and completely clean.

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

[0039] Beneficial effects:

[0040] The present invention quantifies the degree of contamination by monitoring the difference between conductivity, pH value and turbidity and the benchmark conductivity, benchmark pH value and benchmark turbidity, and automatically adjusts the amount of detergent and the parameters of clean water spraying accordingly, ensuring the high pertinence and effectiveness of the cleaning process. This method can not only accurately control the amount of detergent used, reduce the amount of detergent used, reduce waste and reduce the impact of chemical substances on the environment, but also introduces a secondary evaluation mechanism based on reflectivity spectrum to ensure thorough cleaning. The reflectivity spectrum can identify pollutants that are difficult to remove, such as scale, and perform additional cleaning on areas that do not meet the standards until they meet the standards, ensuring the thoroughness of the cleaning. In addition, the benchmark reflectivity spectrum is regularly calibrated according to actual conditions, taking into account the impact of wear and tear caused by long-term use inside the ice maker on the data, enhancing adaptability and flexibility. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A schematic flow chart of a cleaning method for an ice maker according to the present invention;

[0042] Figure 2 The figure is a schematic diagram of the module structure of a cleaning system of an ice maker according to the present invention. DETAILED DESCRIPTION

[0043] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It should also be noted that, for ease of description, only the parts related to the present invention, rather than all structures, are shown in the accompanying drawings. In addition, the embodiments of the present invention and the features in the embodiments may be combined with each other without conflict.

[0044] It should also be noted that, for ease of description, only the part relevant to the present invention but not all content is shown in the accompanying drawings. It should be mentioned before discussing exemplary embodiments in more detail that some exemplary embodiments are described as processing or methods depicted as flow charts. Although the flow chart describes each operation (or step) as sequential processing, many operations therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of each operation can be rearranged. When its operation is completed, the processing can be terminated, but it can also have additional steps not included in the accompanying drawings. The processing can correspond to methods, functions, procedures, subroutines, subprograms, etc.

[0045] Embodiment 1

[0046] A method for cleaning an ice machine, in a specific implementation process, such as Figure 1 As shown, it shows a schematic diagram of a cleaning method for an ice maker, including:

[0047] Step S1: pre-spray and flush the inside of the ice maker by a clean water spray device according to a preset pre-spray time. After the pre-spray and flush is completed, the current conductivity, current pH value and current turbidity of the water flow discharged from the ice maker are obtained.

[0048] During the specific implementation process, the clean water spray device of the ice maker is started, and according to the preset time duration, illustratively, the preset time duration is 1 minute, the inside of the ice maker is fully pre-sprayed and rinsed for 1 minute to preliminarily remove loose dirt and impurities on the surface. At the same time, after the pre-spraying process is completed, the water flow sample discharged from the ice maker drain port is immediately collected, and the current conductivity, pH value and turbidity index of the water flow sample are respectively measured. These data will serve as an important basis for evaluating the degree of contamination in the subsequent cleaning steps. In this way, it is ensured that the key water quality parameters that accurately reflect the cleanliness status of the inner wall of the ice maker are obtained, providing a scientific basis for the subsequent calculation of the amount of cleaning agent.

[0049] Step 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, 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 clean water inside the ice maker in a clean state.

[0050] In the specific implementation process, it is first necessary to determine the reference conductivity, reference pH value and reference turbidity of the ice maker when the inside is in a completely clean state. For example, these reference values ​​are obtained by using a clean water spray device to rinse the inner wall after the ice maker is thoroughly cleaned and dried, and immediately measuring the conductivity, pH value and turbidity of the discharged water sample. They are usually determined by experiments when the ice maker is brand new and unused and stored in the storage system of the ice maker. Subsequently, each time the cleaning procedure is performed, the current conductivity collected in the pre-spraying step is subtracted from the above-mentioned reference conductivity to obtain a first conductivity difference. Similarly, the absolute value of the difference between the current pH value and the reference pH value is calculated to obtain a first pH value difference, and the difference between the current turbidity and the reference turbidity is calculated to obtain a first turbidity difference. These three differences directly reflect the degree of contamination inside the ice maker relative to the clean state, and provide a quantitative basis for the subsequent assessment of the contamination level and the formulation of targeted cleaning strategies.

[0051] Step S3: calculating the contamination degree inside the ice maker based on the first conductivity difference, the first pH value difference and the first turbidity difference, and calculating the amount of cleaning agent sprayed based on the contamination degree.

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

[0053] I=ω E ·ΔE+ω pHΔpH+ω T ΔT

[0054] Where I is the pollution 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 value difference and the first turbidity difference respectively.

[0055] During the specific implementation process, it is necessary to obtain the degree of contamination inside the ice maker. According to the first conductivity difference, the first pH value difference and the first turbidity difference obtained in step S2, a pre-set contamination degree calculation formula is used to calculate the overall contamination degree inside the ice maker. The formula takes into account the different effects of these three parameters on the contamination degree, and calculates the contamination degree through weighted fusion.

[0056] Specifically, ω E ,ω pH and ω T The steps to determine are:

[0057] Collect data on the cleaning process through multiple tests, including conductivity difference, pH difference and turbidity difference before and after each cleaning, as well as the final cleaning effect score;

[0058] The correlation between conductivity difference, pH value difference, turbidity difference and cleaning effect score was analyzed by 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] During the specific implementation process, data of the cleaning process are collected through multiple tests. Exemplarily, 50 tests are conducted, and each test records the conductivity, pH value and turbidity before and after cleaning, as well as the final cleaning effect score, wherein the cleaning effect score ranges from 0 to 100. Trained professionals conduct a visual inspection of the inside of the ice maker after cleaning, and the scoring standards are divided into several levels. The cleaning effect score is obtained according to the evaluation standards of different levels, and the collected data is preprocessed, including removing outliers and standardizing the data. The Pearson correlation coefficient is used to analyze the correlation between the conductivity difference, pH value difference and turbidity difference and the cleaning effect score. Exemplarily, 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, and the total correlation coefficient is 1.8. The correlation coefficient is normalized to obtain the corresponding weight coefficient.

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

[0062]

[0063] Among them, Q is the amount of cleaning agent sprayed, 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, I 0 The pollution level is at a turning point.

[0064] In the specific implementation process, the amount of cleaning agent sprayed is calculated by the logistic function model. In this formula, I 0 is the location of the turning point of the pollution level, which indicates the transition point from slow growth to fast growth. Specifically, as I increases or decreases and moves away from I 0 When the pollution level reaches I, the function value will quickly approach 1 or 0, which is understood as a critical value of the pollution level. 0 When the cleaning agent spray volume reaches a critical level, adding more cleaning agent will start to significantly improve the cleaning effect. 0 When I>I 0 Even if a large amount of detergent is added, the improvement of cleaning effect will become slower. min is the minimum cleaning agent spraying amount, Q max It is the maximum cleaning agent spraying amount, which is determined according to the specific specifications of different ice machines.

[0065] Step S4: calculating the clean water spray intensity and clean water spray duration based on the obtained cleaning agent spray 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.

[0066] During the specific implementation process, the intensity and duration of the clean water spraying are calculated using a preset formula, and after the clean water spraying is completed, the second conductivity difference, the second pH value difference and the second turbidity difference of the water flow discharged from the ice maker are promptly obtained for subsequent evaluation and judgment of the cleaning effect.

[0067] Specifically, in step S4, the calculation formula for the clean water spray intensity is:

[0068]

[0069] Among them, S is the intensity of clean water spray, S min is the minimum clean water spray intensity, S max is the maximum clean water spray intensity, k S is the steepness parameter, Q​0 It is the turning point of the cleaning agent spraying amount.

[0070] In the specific 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 inside of the ice maker is deeply cleaned according to the calculated water spraying intensity. Similarly, the water spraying intensity is calculated by the logistic function model, where S min is the minimum water spray intensity, corresponding to the minimum cleaning agent spray amount, S max is the maximum water spray intensity, corresponding to the maximum cleaning agent spray amount, obtained through experimental testing and data analysis, Q 0 It is the turning point of the cleaning agent spraying amount and a critical point. Near this value, the rate of change of the clean water spray intensity will change significantly.

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

[0072] In the specific implementation process, the steepness parameter k Q and k S The value of is obtained by fitting the experimental data and is used to control the slope of the curve. By conducting multiple experiments, the cleaning agent spraying amount and its corresponding cleaning effect under different pollution levels, and the cleaning effect corresponding to different clean water spraying intensities under different cleaning agent spraying amounts are recorded. The nonlinear regression method is used to fit the experimental data to determine the optimal steepness parameter, so that the relationship curves between the cleaning agent spraying amount and the pollution level, and between the clean water spraying intensity and the cleaning agent spraying amount are consistent with the actual cleaning effect.

[0073] Specifically, in step S4, the calculation formula for the clean water spraying time is:

[0074]

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

[0076] In the specific implementation process, there is a nonlinear relationship between the spraying time and the amount of detergent sprayed. The power function is used to represent this relationship. The power function can better capture the change in the growth rate of the spraying time when the spraying amount increases. min is the minimum water spraying time, corresponding to the minimum amount of cleaning agent sprayed, T maxis the maximum clean water spraying time, corresponding to the maximum amount of cleaning agent spraying, Q is the amount of cleaning agent spraying, and n is the power exponent used to control the shape of the curve. When n>1, the clean water spraying time accelerates with the increase of the cleaning agent spraying amount, which is suitable for the situation where a longer cleaning time is required when the pollution degree is high. When n<1, the clean water spraying time slows down with the increase of the cleaning agent spraying amount, which is suitable for the situation where the clean water spraying time increases rapidly in the initial stage but the growth rate slows down afterwards.

[0077] Step S5: If any of the second conductivity difference, the second pH difference and the second turbidity difference exceeds the corresponding preset threshold, it is judged that the cleaning is insufficient and the process returns to S2. If the conductivity difference, the pH difference and the turbidity difference do not exceed the corresponding preset threshold, it is judged that the cleaning is sufficient and the process executes S6.

[0078] During 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 cleaning are calculated, and the second conductivity difference is compared with the preset conductivity difference threshold, the second pH difference is compared with the preset pH difference threshold, and the second turbidity difference is compared with the preset turbidity difference threshold. If any difference exceeds the corresponding preset threshold, it is judged that the cleaning is insufficient, and the process returns to step S2. If all the differences do not exceed the corresponding preset thresholds, step S6 is executed.

[0079] Step S6: Dry the inside of the ice maker. After drying, obtain and compare the reflectance spectrum of each area with the reference spectrum. If it is detected that the difference between the reflectance spectrum of any area and the reference spectrum exceeds a preset spectral difference threshold, perform multiple targeted cleanings on the area until the difference between the reflectance spectrum of the area and the reference spectrum falls within the preset spectral difference threshold, wherein the reference reflectance spectrum is data on the reflection of light within a specific wavelength range in different areas of the ice maker when the ice maker is brand new and completely clean.

[0080] During the specific implementation process, after the clean water spray cleaning is completed, the remaining water inside the ice maker is removed by drying, and the different areas inside the ice maker are scanned by a spectrometer to obtain the current reflectance spectrum data, and the current reflectance spectrum is compared with the benchmark reflectance spectrum. The reflectance spectrum difference of each area is calculated. Exemplarily, the difference is quantified using methods including but not limited to the root mean square error. Based on a preset spectral difference threshold, if the reflectance spectrum difference of any area inside the ice maker exceeds the preset spectral difference threshold, it is determined that there are residual pollutants in the area and targeted cleaning is required. Targeted cleaning includes but is not limited to local spraying and ultrasonic cleaning. After each cleaning, the reflectance spectrum of the area is re-obtained and compared with the benchmark reflectance spectrum until the difference between the reflectance spectrum of the area and the benchmark reflectance spectrum falls within the preset spectral difference threshold, and the cleaning of the ice maker is completed. The preset spectral difference threshold is determined based on experimental data and industry standards, and this threshold represents the maximum allowable reflectance spectrum difference.

[0081] Specifically, in step S6, if the number of targeted cleanings exceeds a preset number threshold, a cleaning abnormality is prompted.

[0082] During the specific implementation process, a preset number threshold is set to indicate the maximum number of targeted cleanings allowed. If the reflectance spectrum difference of a certain area still exceeds the preset spectrum difference threshold after the cleaning number reaches the preset number threshold, a cleaning abnormality is prompted, including but not limited to through system alarms, displaying error messages or sending notifications to operators.

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

[0084] During the specific implementation process, the degree of wear of different areas inside the ice maker will change over time, affecting the measurement of the reflectance spectrum, so the reference reflectance spectrum needs to be calibrated and updated regularly.

[0085] The working principle of the ice machine cleaning method provided by the present invention is as follows:

[0086] The cleanliness of the inside of the ice machine is ensured through a multi-step cleaning and testing process. First, the current conductivity, current pH value and current turbidity are obtained through pre-spray flushing. Then, based on these data, the degree of contamination is calculated and the amount of detergent sprayed is determined. Next, the intensity and duration of the clean water spray are adjusted according to the amount of detergent sprayed. After cleaning, the conductivity, pH value and turbidity are tested again to evaluate the cleaning effect. If the cleaning is not sufficient, it returns to recalculate and clean. If the cleaning is sufficient, it is dried and further verified by spectral detection. The areas that do not meet the standards are cleaned multiple times until the difference between the reflectance spectrum of all areas and the reference spectrum is reduced to within the preset threshold. This method ensures that the inside of the ice machine is thoroughly cleaned through multiple cycles of cleaning and strict testing, and accurately controls the amount of detergent and clean water through calculations at each step, achieving the beneficial effects of high efficiency, automation, precision and cost saving.

[0087] Embodiment 2

[0088] An ice machine cleaning system is applied to an ice machine cleaning method. In a specific implementation process, Figure 2 As shown, it shows a schematic diagram of the module structure of a cleaning system of an ice maker, and the cleaning system includes:

[0089] Data acquisition module 100: used to pre-spray and flush the inside of the ice maker by a clean water spray device according to a preset pre-spray time, and after the pre-spray and flushing is completed, obtain the current conductivity, current pH value and current turbidity of the water flow discharged by the ice maker;

[0090] Parameter calculation module 200: 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 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 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 pollution degree inside 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 pollution degree;

[0092] The clean water spraying water consumption calculation module 400 is used to calculate the clean water spraying intensity and the clean water spraying duration 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 the cleaning is completed;

[0093] Cleaning effect evaluation and judgment module 500: for judging that the cleaning is insufficient if any difference among the second conductivity difference, the second pH value difference and the second turbidity difference exceeds the corresponding preset threshold, and returning to execute S2; if the conductivity difference, the pH difference and the turbidity difference do not exceed the corresponding preset threshold, judging that the cleaning is sufficient, and executing S6;

[0094] Cleaning effect secondary evaluation module 600: used to dry the inside of the ice maker. After drying, obtain and compare the reflectance spectrum of each area with the reference spectrum. If it is detected that the difference between the reflectance spectrum of any area and the reference spectrum exceeds the preset spectral difference threshold, perform multiple targeted cleanings on the area until the difference between the reflectance spectrum of the area and the reference spectrum falls within the preset spectral difference threshold, wherein the reference reflectance spectrum is data on the reflection of light within a specific wavelength range in different areas of the ice maker when the ice maker is brand new and completely clean.

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

[0096] The thorough cleaning of the inside of the ice maker is ensured by the coordinated work of multiple modules. First, the data acquisition module 100 performs a pre-spray rinse and collects the current conductivity, current pH value and current turbidity. Then, the parameter calculation module 200 calculates the difference between the conductivity, pH value and turbidity and the reference value. The detergent spray amount calculation module 300 determines the amount of detergent used according to these differences. The clean water spray water consumption calculation module 400 adjusts the spray intensity and duration based on the detergent amount, and detects the conductivity, pH value and turbidity again after cleaning. The cleaning effect evaluation judgment module 500 determines whether re-cleaning is needed according to the detection results. If the cleaning is not sufficient, it returns to the parameter calculation module 200 for recalculation and cleaning. If the cleaning is sufficient, it enters the cleaning effect secondary evaluation module 600. The cleaning effect secondary evaluation module 600 dries the inside of the ice maker and verifies the cleanliness of each area through spectral detection. The substandard areas are cleaned multiple times in a targeted manner until the difference between the reflectance spectrum of all areas and the reference spectrum drops to within the preset threshold, completing the cleaning of the entire ice maker.

[0097] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0098] A person skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0099] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

Claims

1. A method for cleaning an ice machine, characterized in that: The cleaning method comprises the following steps: S1: Pre-spray and flush the inside of the ice maker through a clean water spray device according to a preset pre-spray time. After the pre-spray and flush is completed, the current conductivity, current pH value and current turbidity of the water flow discharged from the ice maker are obtained; S2: respectively 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 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 the inside of the ice maker is sprayed with clean water in a clean state; S3: calculating the contamination degree inside the ice maker based on the first conductivity difference, the first pH value difference and the first turbidity difference, and calculating the amount of cleaning agent sprayed based on the contamination degree; S4: calculating the intensity and duration of the clean water spraying 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 the cleaning is completed; S5: If any difference 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 the process returns to S2; if the conductivity difference, the pH difference and the turbidity difference do not exceed the corresponding preset threshold, it is determined that the cleaning is sufficient, and the process proceeds to S6; S6: Dry the inside of the ice maker. After drying, obtain and compare the reflectance spectrum of each area with a reference spectrum. If it is detected that the difference between the reflectance spectrum of any area and the reference spectrum exceeds a preset spectral difference threshold, perform multiple targeted cleanings on the area until the difference between the reflectance spectrum of the area and the reference spectrum falls within the preset spectral difference threshold, wherein the reference reflectance spectrum is data on the reflection of light within a specific wavelength range in different areas of the ice maker when the ice maker is brand new and completely clean.

2. The ice machine cleaning method according to claim 1, characterized in that: In step S3, the calculation formula of the pollution degree is: I = ω E ·ΔE+ω pH ·ΔpH+ω T ·ΔT Where I is the pollution 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 value difference and the first turbidity difference respectively.

3. The ice machine cleaning method according to claim 2, characterized in that: ω E ,ω pH and ω T The steps to determine are: Collect data on the cleaning process through multiple tests, including conductivity difference, pH difference and turbidity difference before and after each cleaning, as well as the final cleaning effect score; The correlation between conductivity difference, pH value difference, turbidity difference and cleaning effect score was analyzed by Pearson correlation coefficient. Based on the size of the obtained Pearson correlation coefficient, the correlation value is converted into the corresponding weight coefficient.

4. The ice machine cleaning method according to claim 3, characterized in that: In step S3, the calculation formula of the cleaning agent spraying amount is: Among them, Q is the amount of cleaning agent sprayed, 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, and I0 is the turning point of the pollution degree.

5. The ice machine cleaning method according to claim 4, characterized in that: In step S4, the calculation formula of the clean water spray intensity is: Among them, S is the intensity of clean water spray, S min is the minimum clean water spray intensity, S max is the maximum clean water spray intensity, k S is the steepness parameter, and Q0 is the turning point of the cleaning agent spraying amount.

6. The ice machine cleaning method according to claim 5, characterized in that: k Q and k S The values ​​of are obtained by fitting the experimental data using nonlinear regression method.

7. The ice machine cleaning method according to claim 6, characterized in that: In step S4, the calculation formula for the clean water spraying time is: Among them, T is the duration of water spraying, T min is the minimum water spraying time, T max is the maximum water spraying time, Q is the cleaning agent spraying amount, and n is the power index.

8. The ice machine cleaning method according to claim 7, characterized in that: In step S6, if the number of targeted cleanings exceeds a preset number threshold, a cleaning abnormality is prompted.

9. The ice machine cleaning method according to claim 8, characterized in that: In step S6, the reference reflectance spectrum is regularly calibrated and updated according to the degree of wear of different areas inside the ice maker.

10. A cleaning system for an ice machine, characterized in that: A cleaning method for an ice maker according to any one of claims 1 to 9, wherein the cleaning system comprises: Data acquisition module: used to pre-spray and flush the inside of the ice maker through a clean water spray device according to a preset pre-spray time. After the pre-spray and flushing is completed, the current conductivity, current pH value and current turbidity of the water flow discharged from the ice maker are obtained; 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 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 the inside of the ice maker is sprayed with clean water in a clean state; A 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 calculate the cleaning agent spraying amount based on the contamination degree; A water spray water consumption calculation module: used to calculate the water spray intensity and water spray duration based on the obtained cleaning agent spray 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 is completed; Cleaning effect evaluation and judgment module: if any difference among the second conductivity difference, the second pH value difference and the second turbidity difference exceeds the corresponding preset threshold value, it is judged that the cleaning is insufficient and the process returns to S2; if the conductivity difference, the pH difference and the turbidity difference do not exceed the corresponding preset threshold value, it is judged that the cleaning is sufficient and the process executes S6; Cleaning effect secondary evaluation module: used to dry the inside of the ice maker. After drying, obtain and compare the reflectance spectrum of each area with the reference spectrum. If it is detected that the difference between the reflectance spectrum of any area and the reference spectrum exceeds the preset spectral difference threshold, perform multiple targeted cleanings on the area until the difference between the reflectance spectrum of the area and the reference spectrum falls within the preset spectral difference threshold. The reference reflectance spectrum is data on the reflection of light within a specific wavelength range in different areas of the ice maker when the ice maker is brand new and completely clean.

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