A touch screen intelligent monitoring system and method for a dishwasher

Abstract

The application relates to the technical field of touch screen intelligent supervision, in particular to a touch screen intelligent supervision system and method for a dishwasher, wherein a reservation interface program recommendation management module records user historical program use data and counts the use conditions of different programs; in the reservation interface, a user's dishwasher use program bias sequence is constructed according to the statistical results of the historical program use conditions; and the elements in the user's dishwasher use program bias sequence are sequentially displayed on the top of the dishwasher touch screen. The application can effectively reduce the step level of the operation function options of the user and reduce the frequency of user misoperation under the premise of ensuring the cleaning effect; meanwhile, by combining the user historical operation data to construct the priority order results of the user's dishwasher use program bias sequence / delay time length option, dynamic analysis of the top priority of the high-frequency washing program option / delay time length option can be realized, and the top hit rate of the high-frequency option is improved.

Description

Technical Field

[0001] This invention relates to the field of touchscreen intelligent monitoring technology, specifically to a touchscreen intelligent monitoring system and method for dishwashers. Background Technology

[0002] With the development of IoT technology, smart devices are becoming increasingly popular. In the dishwasher industry, dishwashers can effectively free users' hands, avoiding the hardship and tedium of bending over and standing by the sink to wash dishes by hand for a long time after meals. Users only need to select the corresponding cleaning mode on the dishwasher's touch screen to get clean and hygienic dishes, saving time and effort.

[0003] However, current touchscreen control interfaces for dishwashers are cumbersome to operate. The function options of the functional units in the touchscreen control interface are located in many layers, making it difficult for users to quickly find the target function option. This is especially true for elderly people or users who have little contact with electronic products, making operation difficult. Furthermore, it cannot dynamically recommend and manage function options based on the user's historical operation behavior and the current status of the dishwasher. Therefore, the existing technology has significant shortcomings. Summary of the Invention

[0004] The purpose of this invention is to provide a touchscreen intelligent monitoring system and method for dishwashers to solve the problems mentioned in the background art.

[0005] To address the aforementioned technical problems, the present invention provides the following technical solution: a touchscreen intelligent monitoring method for a dishwasher, the method comprising:

[0006] S1. Real-time acquisition of water quality and turbidity data of the dishwasher, construction of water quality status parameters of the dishwasher; and dynamic adjustment of the dishwasher rinse detergent dosage level and recommended washing program data based on the water quality status parameters at the current time.

[0007] S2. Record the user's historical program usage data and statistically analyze the usage of different programs; in the reservation interface, construct the user's dishwasher usage program preference sequence based on the statistical results of historical program usage; display the elements in the user's dishwasher usage program preference sequence sequentially on top of the dishwasher touch screen.

[0008] S3. Based on the user's cleaning parameter adjustment results in the dishwasher touch screen's reservation interface, predict the user's dishwasher working hours, and combine the dishwasher's historical working data and the user's dishwasher usage program preference sequence to analyze the energy-saving potential coefficient of each element in the user's dishwasher usage program preference sequence compared to the user's cleaning parameter adjustment results in the reservation interface, and generate user push program switching suggestions.

[0009] S4. Based on the generated user push program switching suggestions, manage the program recommendation content of the dishwasher touch screen reservation interface.

[0010] Furthermore, the water quality data represents the hardness level of the water inside the dishwasher, and the water hardness level belongs to the range [1, n], where n is a preset constant;

[0011] In the process of dynamically adjusting the recommended dishwasher rinse aid dosage based on water quality parameters, the recommended dishwasher rinse aid dosage belongs to the interval [1, m], where m is a preset constant; the recommended dishwasher rinse aid dosage data corresponds one-to-one with the water hardness level, and the calculation formula involved in the mapping relationship between the recommended dishwasher rinse aid dosage data and the water hardness level is as follows:

[0012]

[0013] Where M represents the recommended level of dishwasher detergent dosage; N represents the water hardness level; r represents the preset water quality mapping factor, and r belongs to (0, 1); This represents the floor result of r·N; M is less than or equal to m.

[0014] This invention dynamically adjusts the recommended detergent dosage for dishwashers based on differences in water quality data. This is because water hardness affects the cleaning effect on tableware; therefore, different detergent dosages are needed to achieve the desired cleaning effect. Under the same cleaning program and detergent dosage, the higher the water hardness level, the worse the cleaning effect on the tableware. This invention, which dynamically adjusts the recommended detergent dosage based on water quality parameters, effectively provides a reference for users to select the appropriate detergent dosage, reducing the frequency of substandard tableware cleaning or excessive detergent residue.

[0015] Furthermore, the turbidity data is the turbidity value of the corresponding water monitoring; in the process of dynamically adjusting the recommended data of the dishwasher washing program at the current time based on the water quality status parameters, the turbidity data in the water quality status parameters of the dishwasher at the current time is compared with the first turbidity threshold and the second turbidity threshold respectively, and the first turbidity threshold is greater than the second turbidity threshold.

[0016] If the turbidity data in the dishwasher water quality status parameters corresponding to the current time is less than or equal to the second turbidity threshold, then the dishwasher touch screen will recommend an energy-saving washing program for the current time.

[0017] If the turbidity data in the dishwasher water quality status parameters corresponding to the current time is greater than or equal to the first turbidity threshold, then the powerful washing program is recommended on the dishwasher touch screen at the current time.

[0018] Conversely, the dishwasher's touchscreen will recommend a standard wash program for the current time.

[0019] The washing programs of this invention include energy-saving, standard, and intensive types; dynamically adjusting the recommended washing program data of the dishwasher based on water quality parameters at the current time can control energy consumption while ensuring that the dishes are cleaned effectively.

[0020] Furthermore, the statistics on the usage of different programs in S2 include the usage frequency of each program in the user's historical program usage data and the ratio of the usage frequency of the corresponding program to the total usage frequency of all programs.

[0021] In the process of constructing the user's dishwasher usage program bias sequence, the bias evaluation value of each program based on the current time water quality state parameters is calculated, and the programs are sorted in descending order of bias evaluation value to obtain the user's dishwasher usage program bias sequence; the calculation formulas involved in calculating the bias evaluation value of each program based on the current time water quality state parameters are as follows:

[0022] AV j =(PK) j -PK min )·[X j +τ·DP j / DZ j ]

[0023] Among them, AV j This represents the biased evaluation value of the j-th program based on the water quality status parameters at the current time; PK j PK represents the ratio of the usage frequency of the j-th program to the total usage frequency of all programs in the statistical results of historical program usage; min This represents the different PK values ​​corresponding to j. j The minimum value in;

[0024] X j The similarity between the average water quality status parameters of the j-th program per use and the water quality status parameters at the current time, as shown in the statistical results of historical program usage.

[0025] DP j This represents the average cleaning rate of each call to the j-th program in the statistical results of historical program usage; DZ j This represents the average cleaning rate of any program called each time in the statistical results of historical program usage; τ represents the preset weighting coefficient.

[0026] The average washing rate of the user's dishwasher when calling the same washing program each time under the same water quality parameters is taken as the washing rate of the user's dishwasher when calling the corresponding washing program under the corresponding water quality parameters; the washing rate is equal to the percentage obtained by subtracting the average ratio of the area of ​​residual stains on each dish after the dishwasher calls the corresponding washing program from 1.

[0027] When the user's dishwasher usage program is displayed sequentially on top of the dishwasher touchscreen, the delay time options on the corresponding dishwasher touchscreen reservation interface are fitted with a Gaussian distribution to generate a priority ranking of the delay time options. The calculation formulas involved are as follows:

[0028]

[0029] Among them, P t σ represents the probability that a user selects the delay duration option t within the reservation interface in historical data; μ represents the delay duration most frequently selected by a user within the reservation interface in historical data; σ represents the standard deviation of the historical data corresponding to users selecting the delay duration option within the reservation interface.

[0030] The priority ranking of the delay duration options is based on the order of the corresponding delay duration options in the reservation interface from largest to smallest according to the fitting results of the corresponding call probability.

[0031] The prioritization of dishwasher usage program selection sequence / delay duration options in this invention is designed to dynamically analyze the top priority of high-frequency options (washing program options / delay duration options) based on various factors such as historical data on washing program usage, water quality parameters, and washing program cleaning rate, as well as call data based on different delay durations, thereby improving the top priority hit rate of high-frequency options.

[0032] Furthermore, the user's cleaning parameter adjustment results in S3 include the called delay duration option and the called washing program; the user's dishwasher working period is recorded as [T1, T2]; where T1 represents the time point corresponding to the sum of the current time and the corresponding duration of the delayed duration option called in the user's cleaning parameter adjustment results; T2 represents the time point corresponding to the sum of T1 and the execution duration of the washing program called in the user's cleaning parameter adjustment results in the database;

[0033] The energy-saving potential coefficients of each element in the user's dishwasher usage program bias sequence in S3, compared to the user's cleaning parameter settings in the reservation interface, are calculated using the following formulas:

[0034]

[0035] Where Qi represents the energy-saving potential coefficient of the i-th element in the user's dishwasher usage program bias sequence compared to the user's cleaning parameter settings in the reservation interface; PL i PW represents the bias evaluation value of the washing program corresponding to the i-th element in the dishwasher usage bias sequence in the user's historical program usage data. t This represents the power consumption during the execution of a washing program called within the user's washing parameter calibration results, from the start time of the corresponding washing program; RA t This refers to the electricity price in the database preset electricity price table at the time t between the execution time t and the start time of the corresponding washing program, during the execution of the washing program within the user's washing parameter adjustment results; each time point in the database preset electricity price table corresponds to a unique electricity price; PWi t1 This represents the power consumption during the execution of the dishwasher program corresponding to the i-th element in the sequence, within the historical data, at a time t1 from the start time of the corresponding washing program; RAi t1 This indicates the electricity price in the database's preset electricity price table at the time t, which is the execution time t from the start time of the corresponding washing program, during the execution of the user's dishwasher program biased towards the washing program corresponding to the i-th element in the sequence; the start time of the washing program is equal to T1; T2 i This represents the time point corresponding to the sum of the execution times of the washing program corresponding to the i-th element in the sequence of dishwasher usage program bias of users in the database;

[0036] Get the average difference in cleaning rate between the i-th element in the user's dishwasher usage program bias sequence and the washing program called within the user's cleaning parameter adjustment result in the reservation interface, under the same water quality parameters in the historical data, and denoted as Gi;

[0037] The washing program with the highest energy-saving potential coefficient among the elements in the user's dishwasher program preference sequence whose average difference in washing efficiency compared to the washing programs called within the user's washing parameter settings on the reservation interface is greater than the preset value will be used as the user's recommended program switching.

[0038] The present invention obtains user push program switching suggestions by comprehensively considering multiple dimensions, including the duration (or working time interval) of different programs, the corresponding energy consumption, and the bias evaluation value of different washing programs in the dishwasher usage program bias sequence. It also combines the average value of the difference in washing rate between different washing programs and the washing programs called within the user's washing parameter adjustment results in the reservation interface, introduces the concept of energy-saving potential coefficient, and dynamically selects the best element in the user's dishwasher usage program bias sequence compared with the user's washing parameter adjustment results in the reservation interface.

[0039] Furthermore, in the process of managing the program recommendation content of the dishwasher touch screen reservation interface in S4, if the user's pushed program switching suggestion is the same as the washing program called in the user's washing parameter adjustment result, then the user's washing parameter adjustment result at the current time is determined to be the optimal solution, and there is no need to feed back the user's pushed program switching suggestion on the dishwasher touch screen reservation interface; otherwise, the user's pushed program switching suggestion will be fed back on the dishwasher touch screen reservation interface.

[0040] A touchscreen intelligent monitoring system for a dishwasher, the system comprising a water quality status management module, a reservation interface program recommendation management module, a push program switching suggestion analysis module, and a push program switching suggestion feedback management module;

[0041] The water quality status management module acquires the dishwasher's water quality and turbidity data in real time, constructs the dishwasher's water quality status parameters, and dynamically adjusts the dishwasher's detergent dosage level and recommended washing program data based on the water quality status parameters.

[0042] The reservation interface program recommendation management module records the user's historical program usage data and statistically analyzes the usage of different programs. In the reservation interface, based on the statistical results of historical program usage, a user's dishwasher usage program preference sequence is constructed. The elements in the user's dishwasher usage program preference sequence are then displayed sequentially on top of the dishwasher touch screen.

[0043] The push program switching suggestion analysis module predicts the user's dishwasher working hours based on the user's cleaning parameter adjustment results in the dishwasher touch screen's reservation interface. It also analyzes the energy-saving potential coefficient of each element in the user's dishwasher usage program preference sequence compared to the user's cleaning parameter adjustment results in the reservation interface, and generates a push program switching suggestion for the user.

[0044] The push program switching suggestion feedback management module manages the program recommendation content on the dishwasher touch screen reservation interface based on the generated user push program switching suggestions.

[0045] Furthermore, the reservation interface program recommendation management module includes a historical program usage statistics unit, a program usage bias sequence construction unit, and a touch screen display management unit;

[0046] The historical program usage statistics unit records users' historical program usage data and statistically analyzes the usage of different programs.

[0047] The program bias sequence construction unit constructs the user's dishwasher usage program bias sequence in the reservation interface based on the statistical results of historical program usage.

[0048] The touchscreen display management unit sequentially displays the elements in the user's dishwasher usage program bias sequence on top of the dishwasher touchscreen.

[0049] Furthermore, the push notification switching suggestion analysis module includes a working time prediction unit, an energy-saving potential analysis unit, and a switching suggestion generation unit;

[0050] The working time prediction unit predicts the user's dishwasher working time based on the user's cleaning parameter adjustment results in the dishwasher touch screen's reservation interface.

[0051] The energy-saving potential analysis unit combines the historical working data of the dishwasher with the user's dishwasher usage program bias sequence to analyze the energy-saving potential coefficient of each element in the user's dishwasher usage program bias sequence compared with the user's cleaning parameter adjustment results in the reservation interface.

[0052] The switching suggestion generation unit generates user push program switching suggestions based on the analysis results of the energy-saving potential analysis unit.

[0053] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0054] 1) The present invention dynamically adjusts the detergent dosage and washing program recommendation data of the dishwasher based on water quality parameters, which can effectively reduce the number of steps in the user's operation function options and reduce the frequency of user misoperation while ensuring the cleaning effect.

[0055] 2) This invention constructs a priority ranking result of the user's dishwasher usage program preference sequence / delay duration option by combining the user's historical operation data, which can realize dynamic analysis of the top priority of high-frequency washing program options / delay duration options and improve the top hit rate of high-frequency options;

[0056] 3) Based on the user's delay time option and washing program option adjustment results in the reservation interface, this invention dynamically generates user-pushed program switching suggestions by combining the user's working hours, energy consumption and other predicted data, which effectively saves the dishwasher's energy consumption while ensuring the cleaning effect. Attached Figure Description

[0057] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0058] Figure 1 This is a schematic diagram of the structure of a touch screen intelligent monitoring system for a dishwasher according to the present invention;

[0059] Figure 2This is a flowchart illustrating a touchscreen intelligent monitoring method for dishwashers according to the present invention. Detailed Implementation

[0060] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0061] Please see Figures 1-2 The present invention provides a technical solution: such as Figure 1 As shown, this embodiment provides a touch screen intelligent monitoring system for dishwashers. The system includes a water quality status management module, a reservation interface program recommendation management module, a push program switching suggestion analysis module, and a push program switching suggestion feedback management module.

[0062] The water quality status management module acquires the dishwasher's water quality and turbidity data in real time, constructs the dishwasher's water quality status parameters, and dynamically adjusts the dishwasher's detergent dosage level and recommended washing program data based on the water quality status parameters.

[0063] The reservation interface program recommendation management module includes a historical program usage statistics unit, a program usage bias sequence construction unit, and a touch screen display management unit.

[0064] The historical program usage statistics unit records users' historical program usage data and statistically analyzes the usage of different programs.

[0065] The program bias sequence construction unit constructs the user's dishwasher usage program bias sequence in the reservation interface based on the statistical results of historical program usage.

[0066] The touchscreen display management unit will sequentially display the elements in the user's dishwasher usage program bias sequence on top of the dishwasher touchscreen.

[0067] The push program switching suggestion analysis module includes a working time prediction unit, an energy-saving potential analysis unit, and a switching suggestion generation unit;

[0068] The working time prediction unit predicts the user's dishwasher working time based on the user's cleaning parameter adjustment results in the dishwasher touch screen's reservation interface.

[0069] The energy-saving potential analysis unit combines the historical working data of the dishwasher with the user's dishwasher usage program bias sequence to analyze the energy-saving potential coefficient of each element in the user's dishwasher usage program bias sequence compared with the user's cleaning parameter adjustment results in the reservation interface.

[0070] The switching suggestion generation unit generates user push program switching suggestions based on the analysis results of the energy-saving potential analysis unit;

[0071] The push program switching suggestion feedback management module manages the program recommendation content on the dishwasher touch screen reservation interface based on the generated user push program switching suggestions.

[0072] like Figure 2 As shown, this embodiment provides a touchscreen intelligent monitoring method for dishwashers, the method comprising:

[0073] S1. Real-time acquisition of water quality and turbidity data of the dishwasher, construction of water quality status parameters of the dishwasher; and dynamic adjustment of the dishwasher rinse detergent dosage level and recommended washing program data based on the water quality status parameters at the current time.

[0074] The water quality data represents the hardness level of the water inside the dishwasher, and the water hardness level belongs to the interval [1, n], where n is a preset constant;

[0075] In the process of dynamically adjusting the recommended dishwasher rinse aid dosage based on water quality parameters, the recommended dishwasher rinse aid dosage belongs to the interval [1, m], where m is a preset constant; the recommended dishwasher rinse aid dosage data corresponds one-to-one with the water hardness level, and the calculation formula involved in the mapping relationship between the recommended dishwasher rinse aid dosage data and the water hardness level is as follows:

[0076]

[0077] Where M represents the recommended level of dishwasher detergent dosage; N represents the water hardness level; r represents the preset water quality mapping factor, and r belongs to (0, 1); This represents the floor result of r·N; M is less than or equal to m.

[0078] The turbidity data is the turbidity value of the corresponding water monitoring; in the process of dynamically adjusting the recommended data of the dishwasher washing program at the current time based on the water quality status parameters, the turbidity data in the water quality status parameters of the dishwasher at the current time is compared with the first turbidity threshold and the second turbidity threshold respectively, and the first turbidity threshold is greater than the second turbidity threshold.

[0079] If the turbidity data in the dishwasher water quality status parameters corresponding to the current time is less than or equal to the second turbidity threshold, then the dishwasher touch screen will recommend an energy-saving washing program for the current time.

[0080] If the turbidity data in the dishwasher water quality status parameters corresponding to the current time is greater than or equal to the first turbidity threshold, then the powerful washing program is recommended on the dishwasher touch screen at the current time.

[0081] Conversely, the dishwasher's touchscreen will recommend a standard wash program for the current time.

[0082] S2. Record the user's historical program usage data and statistically analyze the usage of different programs; in the reservation interface, construct the user's dishwasher usage program preference sequence based on the statistical results of historical program usage; display the elements in the user's dishwasher usage program preference sequence sequentially on top of the dishwasher touch screen.

[0083] The statistics in S2 on the usage of different programs include the usage frequency of each program in the user's historical program usage data and the ratio of the usage frequency of the corresponding program to the total usage frequency of all programs.

[0084] In the process of constructing the user's dishwasher usage program bias sequence, the bias evaluation value of each program based on the current time water quality state parameters is calculated, and the programs are sorted in descending order of bias evaluation value to obtain the user's dishwasher usage program bias sequence; the calculation formulas involved in calculating the bias evaluation value of each program based on the current time water quality state parameters are as follows:

[0085] AV j =(PK) j -PK min )·[X j +τ·DP j / DZ j ]

[0086] Among them, AV j This represents the biased evaluation value of the j-th program based on the water quality status parameters at the current time; PK j PK represents the ratio of the usage frequency of the j-th program to the total usage frequency of all programs in the statistical results of historical program usage; min This represents the different PK values ​​corresponding to j. j The minimum value in;

[0087] X j The similarity between the average water quality status parameters of the j-th program per use and the water quality status parameters at the current time, as shown in the statistical results of historical program usage.

[0088] In this embodiment, the average water quality status parameter of the j-th program in the statistical results of historical program usage is denoted as (N1, C); where N1 represents the average water quality data in the water quality status parameter of the j-th program in the statistical results of historical program usage; C represents the average turbidity data in the water quality status parameter of the j-th program in the statistical results of historical program usage; the water quality status parameter at the current time is denoted as (ND, CD); where ND represents the water quality data at the current time; and CD represents the turbidity data at the current time.

[0089]

[0090] DP j This represents the average cleaning rate of each call to the j-th program in the statistical results of historical program usage; DZ j This represents the average cleaning rate of any program called each time in the statistical results of historical program usage; τ represents the preset weighting coefficient.

[0091] The average washing rate of the user's dishwasher when calling the same washing program each time under the same water quality parameters is taken as the washing rate of the user's dishwasher when calling the corresponding washing program under the corresponding water quality parameters; the washing rate is equal to the percentage obtained by subtracting the average ratio of the area of ​​residual stains on each dish after the dishwasher calls the corresponding washing program from 1.

[0092] In this embodiment, the cleaning efficiency of the dishes after the dishwasher performs a washing program is measured according to international standards (such as IEC / EN60436) and corresponding national standards of various countries (such as China's GB / T 20290); the main determination methods are as follows:

[0093] 1) Set up standardized test loads, specifically by using a set of strictly defined test tableware (plates, cups, bowls, cutlery, spoons, etc.) with standardized materials and dimensions; the configuration of the loads (the quantity and placement of each type of tableware) is clearly specified in the standard to ensure that the test conditions are consistent each time;

[0094] 2) Configure standardized stains, specifically artificially prepared stains with strictly controlled ingredients and viscosity, to simulate the most difficult-to-clean common food residues; commonly used stains include: oatmeal stains (simulating starch stains, such as rice and mashed potatoes), spinach stains (simulating green vegetable stains, containing chlorophyll and fiber), egg stains (simulating protein stains, such as scrambled eggs and meat gravy), and milk stains (simulating dairy product stains).

[0095] 3) Perform stain pretreatment by placing the stained tableware in a specific environment (usually a temperature of 23±2℃ and a relative humidity of 45-55%) for a period of time (usually 1 hour) to allow the stain to partially dry and harden, simulating the situation in actual use where tableware is left for a period of time before being washed.

[0096] 4) Use the appropriate washing program in the dishwasher to clean the pre-treated stained dishes;

[0097] 5) After cleaning, specially trained evaluators visually inspect the stain residue in designated areas of each test tableware under standard light conditions (such as D65 light source); the evaluators score the tableware against standard stain residue pictures (from 0% completely uncleaned to 100% completely clean) to determine the percentage of residual stains covering the area; and calculate the average score of all designated stain points on all test tableware by all evaluators to obtain the cleaning rate of the tableware after the dishwasher performs the corresponding washing program.

[0098] When the user's dishwasher usage program is displayed sequentially on top of the dishwasher touchscreen, the delay time options on the corresponding dishwasher touchscreen reservation interface are fitted with a Gaussian distribution to generate a priority ranking of the delay time options. The calculation formulas involved are as follows:

[0099]

[0100] Among them, P t σ represents the probability that a user selects the delay duration option t within the reservation interface in historical data; μ represents the delay duration most frequently selected by a user within the reservation interface in historical data; σ represents the standard deviation of the historical data corresponding to users selecting the delay duration option within the reservation interface.

[0101] The priority ranking of the delay duration options is based on the order of the corresponding delay duration options in the reservation interface from largest to smallest according to the fitting results of the corresponding call probability.

[0102] S3. Based on the user's cleaning parameter adjustment results in the dishwasher touch screen's reservation interface, predict the user's dishwasher working hours, and combine the dishwasher's historical working data and the user's dishwasher usage program preference sequence to analyze the energy-saving potential coefficient of each element in the user's dishwasher usage program preference sequence compared to the user's cleaning parameter adjustment results in the reservation interface, and generate user push program switching suggestions.

[0103] The user's cleaning parameter calibration results in S3 include the called delay duration option and the called washing program; the user's dishwasher working period is recorded as [T1, T2]; where T1 represents the current time and the time point corresponding to the sum of the delay duration option called in the user's cleaning parameter calibration results; T2 represents the time point corresponding to the sum of T1 and the execution duration of the washing program called in the user's cleaning parameter calibration results in the database;

[0104] The energy-saving potential coefficients of each element in the user's dishwasher usage program bias sequence in S3, compared to the user's cleaning parameter settings in the reservation interface, are calculated using the following formulas:

[0105]

[0106] Where Qi represents the energy-saving potential coefficient of the i-th element in the user's dishwasher usage program bias sequence compared to the user's cleaning parameter settings in the reservation interface; PL i PW represents the bias evaluation value of the washing program corresponding to the i-th element in the dishwasher usage bias sequence in the user's historical program usage data. t This represents the power consumption during the execution of a washing program called within the user's washing parameter calibration results, from the start time of the corresponding washing program; RA t This refers to the electricity price in the database preset electricity price table at the time t between the execution time t and the start time of the corresponding washing program, during the execution of the washing program within the user's washing parameter adjustment results; each time point in the database preset electricity price table corresponds to a unique electricity price; PWi t1 This represents the power consumption during the execution of the dishwasher program corresponding to the i-th element in the sequence, within the historical data, at a time t1 from the start time of the corresponding washing program; RAi t1 This indicates the electricity price in the database's preset electricity price table at the time t, which is the execution time t from the start time of the corresponding washing program, during the execution of the user's dishwasher program biased towards the washing program corresponding to the i-th element in the sequence; the start time of the washing program is equal to T1; T2 i This represents the time point corresponding to the sum of the execution times of the washing program corresponding to the i-th element in the sequence of dishwasher usage program bias of users in the database;

[0107] Get the average difference in cleaning rate between the i-th element in the user's dishwasher usage program bias sequence and the washing program called within the user's cleaning parameter adjustment result in the reservation interface, under the same water quality parameters in the historical data, and denoted as Gi;

[0108] The washing program with the highest energy-saving potential coefficient among the elements in the user's dishwasher program preference sequence whose average difference in washing efficiency compared to the washing programs called within the user's washing parameter settings on the reservation interface is greater than the preset value will be used as the user's recommended program switching.

[0109] S4. Based on the generated user push program switching suggestions, manage the program recommendation content of the dishwasher touch screen reservation interface.

[0110] In the process of managing the program recommendations on the dishwasher touchscreen reservation interface in S4, if the user's pushed program switching suggestion is the same as the washing program called in the user's washing parameter adjustment result, then the user's washing parameter adjustment result at the current time is determined to be the optimal solution, and there is no need to feed back the user's pushed program switching suggestion on the dishwasher touchscreen reservation interface; otherwise, the user's pushed program switching suggestion will be fed back on the dishwasher touchscreen reservation interface.

[0111] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0112] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A touchscreen intelligent monitoring method for dishwashers, characterized in that, The method includes: S1. Real-time acquisition of water quality and turbidity data of the dishwasher, construction of water quality status parameters of the dishwasher; and dynamic adjustment of the dishwasher rinse detergent dosage level and recommended washing program data based on the water quality status parameters at the current time. S2. Record the user's historical program usage data and statistically analyze the usage of different programs; in the reservation interface, construct the user's dishwasher usage program preference sequence based on the statistical results of historical program usage; display the elements in the user's dishwasher usage program preference sequence sequentially on top of the dishwasher touch screen. The statistics in S2 on the usage of different programs include the usage frequency of each program in the user's historical program usage data and the ratio of the usage frequency of the corresponding program to the total usage frequency of all programs. In the process of constructing the user's dishwasher usage program bias sequence, the bias evaluation value of each program based on the current time water quality state parameters is calculated, and the programs are sorted in descending order of bias evaluation value to obtain the user's dishwasher usage program bias sequence; the calculation formulas involved in calculating the bias evaluation value of each program based on the current time water quality state parameters are as follows: OF j =(PK j -PK min )·[X j +τ·DP j / DZ j ] Among them, AV j This represents the biased evaluation value of the j-th program based on the water quality status parameters at the current time; PK j PK represents the ratio of the usage frequency of the j-th program to the total usage frequency of all programs in the statistical results of historical program usage; min This represents the different PK values ​​corresponding to j. j The minimum value in X; j DP represents the similarity between the average water quality status parameters of the j-th program per use in historical program usage statistics and the water quality status parameters at the current time; j This represents the average cleaning rate of each call to the j-th program in the statistical results of historical program usage; DZ j This represents the average cleaning rate of any program called each time in the statistical results of historical program usage; τ represents the preset weighting coefficient. The average washing rate of the user's dishwasher when calling the same washing program each time under the same water quality parameters is taken as the washing rate of the user's dishwasher when calling the corresponding washing program under the corresponding water quality parameters; the washing rate is equal to the percentage obtained by subtracting the average ratio of the area of ​​residual stains on each dish after the dishwasher calls the corresponding washing program from 1. When the user's dishwasher usage program is displayed sequentially on top of the dishwasher touchscreen, the delay time options on the corresponding dishwasher touchscreen reservation interface are fitted with a Gaussian distribution to generate a priority ranking of the delay time options. The calculation formulas involved are as follows: Among them, P t σ represents the probability that a user selects the delay duration option t within the reservation interface in historical data; μ represents the delay duration most frequently selected by a user within the reservation interface in historical data; σ represents the standard deviation of historical data corresponding to users selecting the delay duration option within the reservation interface. The priority sorting of the delay duration options is based on the sorting results of the corresponding delay duration options in the reservation interface from largest to smallest according to the fitting results of the corresponding call probability. S3. Based on the user's cleaning parameter adjustment results in the dishwasher touch screen's reservation interface, predict the user's dishwasher working hours, and combine the dishwasher's historical working data and the user's dishwasher usage program preference sequence to analyze the energy-saving potential coefficient of each element in the user's dishwasher usage program preference sequence compared to the user's cleaning parameter adjustment results in the reservation interface, and generate user push program switching suggestions. S4. Based on the generated user push program switching suggestions, manage the program recommendation content of the dishwasher touch screen reservation interface.

2. The touchscreen intelligent monitoring method for a dishwasher according to claim 1, characterized in that: The water quality data represents the hardness level of the water inside the dishwasher, and the water hardness level belongs to the range [1, n], where n is a preset constant; In the process of dynamically adjusting the recommended dishwasher rinse aid dosage based on water quality parameters, the recommended dishwasher rinse aid dosage belongs to the interval [1, m], where m is a preset constant; the recommended dishwasher rinse aid dosage data corresponds one-to-one with the water hardness level, and the calculation formula involved in the mapping relationship between the recommended dishwasher rinse aid dosage data and the water hardness level is as follows: Where M represents the recommended level of dishwasher detergent dosage; N represents the water hardness level; r represents the preset water quality mapping factor, and r belongs to (0, 1); This represents the floor result of r·N; M is less than or equal to m.

3. The touchscreen intelligent monitoring method for a dishwasher according to claim 1, characterized in that: The turbidity data is the turbidity value of the corresponding water monitoring; in the process of dynamically adjusting the recommended data of the dishwasher washing program at the current time based on the water quality status parameters, the turbidity data in the water quality status parameters of the dishwasher at the current time is compared with the first turbidity threshold and the second turbidity threshold respectively, and the first turbidity threshold is greater than the second turbidity threshold. If the turbidity data in the dishwasher water quality status parameters corresponding to the current time is less than or equal to the second turbidity threshold, then the dishwasher touch screen will recommend an energy-saving washing program for the current time. If the turbidity data in the dishwasher water quality status parameters corresponding to the current time is greater than or equal to the first turbidity threshold, then the powerful washing program is recommended on the dishwasher touch screen at the current time. Conversely, the dishwasher's touchscreen will recommend a standard wash program for the current time.

4. The touchscreen intelligent monitoring method for a dishwasher according to claim 1, characterized in that: The user's cleaning parameter calibration results in S3 include the called delay duration option and the called washing program; the user's dishwasher working period is recorded as [T1, T2]; where T1 represents the current time and the time point corresponding to the sum of the delay duration option called in the user's cleaning parameter calibration results; T2 represents the time point corresponding to the sum of T1 and the execution duration of the washing program called in the user's cleaning parameter calibration results in the database; The energy-saving potential coefficients of each element in the user's dishwasher usage program bias sequence in S3, compared to the user's cleaning parameter settings in the reservation interface, are calculated using the following formulas: Where Qi represents the energy-saving potential coefficient of the i-th element in the user's dishwasher usage program bias sequence compared to the user's cleaning parameter settings in the reservation interface; PL i PW represents the bias evaluation value of the washing program corresponding to the i-th element in the dishwasher usage bias sequence in the user's historical program usage data. t This represents the power consumption during the execution of a washing program called within the user's washing parameter calibration results, from the start time of the corresponding washing program; RA t This refers to the electricity price in the database preset electricity price table at the time t between the execution time t and the start time of the corresponding washing program, during the execution of the washing program within the user's washing parameter adjustment results; each time point in the database preset electricity price table corresponds to a unique electricity price; PWi t1 This represents the power consumption during the execution of the dishwasher program corresponding to the i-th element in the sequence, within the historical data, at a time t1 from the start time of the corresponding washing program; RAi t1 This indicates the electricity price in the database's preset electricity price table at the time t, which is the execution time t from the start time of the corresponding washing program, during the execution of the user's dishwasher program biased towards the washing program corresponding to the i-th element in the sequence; the start time of the washing program is equal to T1; T2 i This represents the time point corresponding to the sum of the execution times of the washing program corresponding to the i-th element in the sequence of dishwasher usage program bias of users in the database; Get the average difference in cleaning rate between the i-th element in the user's dishwasher usage program bias sequence and the washing program called within the user's cleaning parameter adjustment result in the reservation interface, under the same water quality parameters in the historical data, and denoted as Gi; The washing program with the highest energy-saving potential coefficient among the elements in the user's dishwasher program preference sequence whose average difference in washing efficiency compared to the washing programs called within the user's washing parameter settings on the reservation interface is greater than the preset value will be used as the user's recommended program switching.

5. The touchscreen intelligent monitoring method for a dishwasher according to claim 1, characterized in that: In the process of managing the program recommendation content of the dishwasher touch screen reservation interface in S4, if the user pushes the program switching suggestion and the washing program called in the user's washing parameter adjustment result is the same, then the user's washing parameter adjustment result at the current time is determined to be the optimal solution, and there is no need to feed back the user pushes the program switching suggestion on the dishwasher touch screen reservation interface. Conversely, the system will provide feedback to the user on the dishwasher's touchscreen reservation interface, suggesting a program switch.

6. A touchscreen intelligent monitoring system for a dishwasher, employing the touchscreen intelligent monitoring method for a dishwasher as described in any one of claims 1-5, characterized in that, The system includes a water quality status management module, an appointment interface program recommendation management module, a push program switching suggestion analysis module, and a push program switching suggestion feedback management module. The water quality status management module acquires the dishwasher's water quality and turbidity data in real time, constructs the dishwasher's water quality status parameters, and dynamically adjusts the dishwasher's detergent dosage level and recommended washing program data based on the water quality status parameters. The reservation interface program recommendation management module records the user's historical program usage data and statistically analyzes the usage of different programs. In the reservation interface, based on the statistical results of historical program usage, a user's dishwasher usage program preference sequence is constructed. The elements in the user's dishwasher usage program preference sequence are then displayed sequentially on top of the dishwasher touch screen. The push program switching suggestion analysis module predicts the user's dishwasher working hours based on the user's cleaning parameter adjustment results in the dishwasher touch screen's reservation interface. It also analyzes the energy-saving potential coefficient of each element in the user's dishwasher usage program preference sequence compared to the user's cleaning parameter adjustment results in the reservation interface, and generates a push program switching suggestion for the user. The push program switching suggestion feedback management module manages the program recommendation content on the dishwasher touch screen reservation interface based on the generated user push program switching suggestions.

7. A touchscreen intelligent monitoring system for a dishwasher according to claim 6, characterized in that: The reservation interface program recommendation management module includes a historical program usage statistics unit, a program usage bias sequence construction unit, and a touch screen display management unit. The historical program usage statistics unit records users' historical program usage data and statistically analyzes the usage of different programs. The program bias sequence construction unit constructs the user's dishwasher usage program bias sequence in the reservation interface based on the statistical results of historical program usage. The touchscreen display management unit sequentially displays the elements in the user's dishwasher usage program bias sequence on top of the dishwasher touchscreen.

8. A touchscreen intelligent monitoring system for a dishwasher according to claim 6, characterized in that: The push program switching suggestion analysis module includes a working time prediction unit, an energy-saving potential analysis unit, and a switching suggestion generation unit; The working time prediction unit predicts the user's dishwasher working time based on the user's cleaning parameter adjustment results in the dishwasher touch screen's reservation interface. The energy-saving potential analysis unit combines the historical working data of the dishwasher with the user's dishwasher usage program bias sequence to analyze the energy-saving potential coefficient of each element in the user's dishwasher usage program bias sequence compared with the user's cleaning parameter adjustment results in the reservation interface. The switching suggestion generation unit generates user push program switching suggestions based on the analysis results of the energy-saving potential analysis unit.

Images