Touch screen intelligent supervision system and method for dish washing machine

Abstract

The invention relates to the technical field of touch screen intelligent supervision, in particular to a touch screen intelligent supervision system and method for a dishwasher, in the system, a reservation interface program recommendation management module records historical program use data of a user and counts use conditions of different programs; in the reservation interface, according to a statistical result of historical program use conditions, constructing a dishwasher use program deviation sequence of the user; elements in the dish-washing machine use program deviation sequence of the user are sequentially displayed in a dish-washing machine touch screen in a top-mounted mode. On the premise of ensuring the cleaning effect, the step levels of the operation function options of the user can be effectively reduced, and the frequency of misoperation of the user is reduced; meanwhile, the priority ranking result of the dishwasher use program deviation sequence / delay duration options of the user is constructed in combination with historical operation data of the user, dynamic analysis of the top priority of the high-frequency washing program options / delay duration options can be achieved, and the top hit rate of the high-frequency options is increased.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of touch screen intelligent monitoring, in particular to a touch screen intelligent monitoring system and method for a dishwasher. BACKGROUND

[0002] With the development of Internet of Things technology, intelligent devices have gradually become popular. In the field of dishwashers, the emergence of dishwashers can effectively free users' hands and avoid the user's hard and tedious work of standing by the sink for a long time to wash dishes after dinner every day. The user only needs to select the corresponding cleaning mode on the dishwasher touch screen to get clean and sanitary tableware, saving time and effort.

[0003] However, the current touch screen control interface for dishwashers has the problem of complicated operation. The function option position level of the function unit in the touch screen control interface is too many, and the user cannot quickly find the targeted function option, especially for the elderly or users with less contact with electronic products, the operation difficulty is large; it is not possible to dynamically recommend and manage the function options according to the user's historical operation behavior and the current time dishwasher state; therefore, the prior art has great defects. SUMMARY

[0004] The purpose of the present application is to provide a touch screen intelligent monitoring system and method for a dishwasher to solve the problems raised in the background art.

[0005] In order to solve the above technical problems, the present application provides the following technical scheme: a touch screen intelligent monitoring method for a dishwasher, the method comprising: S1, real-time acquisition of water quality data and turbidity data of the dishwasher, construction of water quality state parameters of the dishwasher; and dynamic adjustment of the current time dishwasher rinse agent dispensing level and washing program recommendation data based on the water quality state parameters; S2, record the user's historical program usage data, and count the usage of different programs; in the reservation interface, according to the statistical result of the historical program usage, construct the user's dishwasher program preference sequence; and sequentially display the elements in the user's dishwasher program preference sequence on the top of the dishwasher touch screen; S3, according to the user's cleaning parameter adjustment result in the reservation interface of the dishwasher touch screen, predict the user's dishwasher working period, and combine the dishwasher historical working data and the user's dishwasher program preference sequence to analyze the energy saving potential coefficient of each element in the user's dishwasher program preference sequence compared with the user's cleaning parameter adjustment result in the reservation interface, and generate a user push program switching suggestion; S4, based on the generated user push program switching suggestion, manage the program recommendation content of the dishwasher touch screen reservation interface.

[0006] Further, the water quality data represents a hardness level of water in the dishwasher, and the hardness level of the water belongs to an interval [1, n], wherein n is a preset constant; In the process of dynamically adjusting the dishwasher rinse agent dispensing level recommendation data at the current time based on the water quality state parameter, the dishwasher rinse agent dispensing level belongs to an interval [1, m], wherein m is a preset constant; the dishwasher rinse agent dispensing level recommendation data and the hardness level of the water are in one-to-one correspondence, and the mapping relationship between the dishwasher rinse agent dispensing level recommendation data and the hardness level of the water involves a calculation formula as follows: wherein M represents the dishwasher rinse agent dispensing level recommendation data; N represents the hardness level of the water; r represents a preset water quality mapping relationship factor, and r belongs to (0, 1); which represents an upward rounding result corresponding to r·N; and the M is less than or equal to m.

[0007] The application dynamically adjusts the dishwasher rinse agent dispensing level recommendation data at the current time according to the water quality data difference, which takes into account that the water hardness will affect the cleaning effect of tableware, so different amounts of rinse agent need to be added to achieve the preset cleaning effect. Under the same cleaning program and the same rinse agent dispensing level, the higher the water hardness level corresponding to the water quality data, the worse the cleaning effect of the tableware. The application can effectively provide a reference basis for the user's selection of the rinse agent dispensing amount, and reduce the frequency of occurrence of substandard tableware cleaning or excessive rinse agent residue.

[0008] Further, the turbidity data is a turbidity value of the corresponding water; in the process of dynamically adjusting the dishwasher washing program recommendation data at the current time based on the water quality state parameter, the turbidity data in the water quality state parameter of the dishwasher at the current time is compared with a first turbidity threshold and a second turbidity threshold, respectively, and the first turbidity threshold is greater than the second turbidity threshold; If the turbidity data in the water quality state parameter of the dishwasher at the current time is less than or equal to the second turbidity threshold, an energy-saving type washing program is recommended in the dishwasher touch screen at the current time; If the turbidity data in the water quality state parameter of the dishwasher at the current time is greater than or equal to the first turbidity threshold, a strong type washing program is recommended in the dishwasher touch screen at the current time; Conversely, a standard type washing program is recommended in the dishwasher touch screen at the current time.

[0009] The types of the washing program include an energy-saving type, a standard type and a strong type; the dynamically adjusting the dishwasher washing program recommendation data at the current time based on the water quality state parameter can realize the control of energy consumption while ensuring that the tableware achieves the cleaning effect.

[0010] Further, the use of different programs in the S2 includes the use frequency of each program corresponding to the user history program use data and the ratio of the use frequency of the corresponding program to the total use frequency of each program; In the process of constructing the user's dishwasher use program bias sequence, the bias evaluation value of each program based on the water quality state parameter at the current time is calculated, and each program is sorted in descending order of the bias evaluation value to obtain the user's dishwasher use program bias sequence; the calculation of the bias evaluation value of each program based on the water quality state parameter at the current time involves the following calculation formula: Wherein, AV j represents the bias evaluation value of the jth program based on the water quality state parameter at the current time; PK j represents the ratio of the use frequency of the jth program to the total use frequency of each program in the statistical results of the historical program use; PK min represents the minimum value of each PK j corresponding to different values of j; X j represents the similarity of the water quality state parameter in the statistical results of the historical program use to the water quality state parameter at the current time when the jth program is used on average each time; DP j represents the average wash rate of the jth program in the statistical results of the historical program use; DZ j represents the average wash rate of any program in the statistical results of the historical program use; τ represents a preset weight coefficient; The average wash rate of the user's dishwasher corresponding to the same washing program each time under the same water quality state parameter is used as the wash rate of the user's dishwasher calling the corresponding washing program under the corresponding water quality state parameter; the wash rate is equal to 1 minus the average value of the percentage of the residual stain area on each dishware after the dishwasher calls the corresponding washing program to the surface area of the corresponding dishware, and the difference value is obtained; When the elements in the user's dishwasher use program bias sequence are displayed in turn on the dishwasher touch screen, the delay time length option of the corresponding dishwasher touch screen reservation interface is called with Gaussian distribution probability fitting, and the priority order of the delay time length option is generated, involving the following calculation formula: Wherein, p trepresents the probability of the user calling the delay duration option t in the reservation interface in the historical data; μ represents the delay duration with the highest calling frequency in the historical data; σ represents the standard deviation corresponding to the historical data of the user calling the delay duration option in the reservation interface; The priority ranking of the delay duration option is the ranking result of the corresponding delay duration option in the reservation interface in the order from large to small according to the fitting result of the corresponding calling probability.

[0011] The construction of the priority ranking of the user's dishwashing machine use program bias sequence / delay duration option of the application is to realize the dynamic analysis of the top priority of the high-frequency option (washing program option / delay duration option) based on the use data of the cleaning program, the water quality state parameter and the cleaning rate of the washing program in the historical data and based on the calling data of different delay duration options, and to improve the top hit rate of the high-frequency option.

[0012] Further, the user's cleaning parameter adjustment result in S3 includes the called delay duration option and the called washing program; the working period of the user's dishwashing machine is recorded as [T1, T2]; wherein T1 represents the time point corresponding to the sum of the current time and the time corresponding to the called delay duration option in the user's cleaning parameter adjustment result; T2 represents the time point corresponding to the sum of T1 and the execution time of the called washing program in the user's cleaning parameter adjustment result in the database; The calculation formula related to the energy-saving potential coefficient of each element in the user's dishwashing machine use program bias sequence compared with the user's cleaning parameter adjustment result in the reservation interface in S3 is as follows: Wherein, Qi represents the energy-saving potential coefficient of the i th element in the user's dishwashing machine use program bias sequence compared with the user's cleaning parameter adjustment result in the reservation interface; PL i represents the bias evaluation value of the i th element in the user's dishwashing machine use program bias sequence corresponding to the washing program in the user's historical program use data; PW t represents the power consumption at the execution time t from the starting time point of the corresponding washing program in the process of executing the washing program called in the user's cleaning parameter adjustment result; RA t represents the corresponding electricity price in the database preset electricity price table at the corresponding time point at the execution time t from the starting time point of the corresponding washing program in the process of executing the washing program called in the user's cleaning parameter adjustment result; each time point in the database preset electricity price table corresponds to a unique electricity price; PWi t1 represents the power consumption at the execution time t1 from the starting time point of the corresponding washing program in the process of executing the washing program corresponding to the i th element in the user's dishwashing machine use program bias sequence; RAit1 represents the corresponding time point in the database preset electricity price table at the execution time length t from the starting time point of the corresponding washing program, the starting time point of the washing program is equal to T1, and T2 i represents the corresponding time point of the sum of T1 and the execution time length of the washing program corresponding to the i-th element in the washing machine use program bias sequence of the user in the database; An average value of a difference in washing rate of the i-th element in the washing machine use program bias sequence of the user compared to the washing program called in the cleaning parameter adjustment result of the user in the reservation interface is obtained from the historical data under the same water quality state parameter, and is denoted as Gi; The washing program corresponding to the element with the largest energy-saving potential coefficient in the element with the average value of the difference in washing rate of the washing program called in the cleaning parameter adjustment result of the user in the reservation interface greater than a preset value in the washing machine use program bias sequence of the user is taken as the user push program switching suggestion.

[0013] The user push program switching suggestion of the application is obtained by comprehensively considering the duration (or working time interval) of different programs, the corresponding energy consumption and the bias evaluation value of different washing programs in the washing machine use program bias sequence, and introducing the concept of energy-saving potential coefficient by combining the average value of the difference in washing rate of different washing programs compared to the washing program called in the cleaning parameter adjustment result of the user in the reservation interface, to dynamically select the best element in the washing machine use program bias sequence of the user compared to the cleaning parameter adjustment result of the user in the reservation interface.

[0014] Further, in the process of managing the program recommendation content of the reservation interface of the dishwasher touch screen in S4, if the user push program switching suggestion is the same as the washing program called in the cleaning parameter adjustment result of the user, it is determined that the cleaning parameter adjustment result of the user at the current time is the optimal scheme, and the user push program switching suggestion does not need to be fed back in the reservation interface of the dishwasher touch screen; otherwise, the user push program switching suggestion is fed back in the reservation interface of the dishwasher touch screen.

[0015] A touch screen intelligent monitoring system for a dishwasher, the system comprising a water quality state 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; The water quality state management module acquires water quality data and turbidity data of the dishwasher in real time, constructs water quality state parameters of the dishwasher, and dynamically adjusts the current time dishwasher rinse agent dosing level and washing program recommendation data based on the water quality state parameters; The program recommendation management module on the reservation interface records the user's historical program usage data and calculates 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; and the elements in the user's dishwasher usage program preference sequence are sequentially displayed at the top of the dishwasher touch screen; The program switching suggestion analysis module predicts the user's dishwasher operation time based on the user's washing parameter adjustment results in the reservation interface of the dishwasher touch screen, and combines the dishwasher's historical operation data and the user's dishwasher program usage bias sequence to analyze the energy saving potential coefficient of each element in the user's dishwasher program usage bias sequence compared to the user's washing parameter adjustment results in the reservation interface, and generates a user-pushed program switching suggestion; 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 suggestion.

[0016] 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; The historical program usage statistics unit records the user's historical program usage data and counts the usage of different programs; The usage program bias sequence construction unit constructs the user's dishwasher usage program bias sequence based on the statistical results of historical program usage in the reservation interface; The touch screen display management unit sequentially displays the elements in the user's dishwasher usage program preference sequence at the top of the dishwasher touch screen.

[0017] Furthermore, 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 period based on the user's cleaning parameter adjustment result in the reservation interface of the dishwasher touch screen; The energy-saving potential analysis unit combines the dishwasher's historical operating data and 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 to the user's washing parameter adjustment result in the reservation interface; The switching suggestion generating unit generates a user-pushed program switching suggestion based on the analysis result of the energy-saving potential analyzing unit.

[0018] Compared with the prior art, the present invention has the following beneficial effects: 1) The application is based on the way of dynamically adjusting the rinse agent dispensing level of the dishwasher and the washing program recommendation data based on the water quality state parameters, which can effectively reduce the step level of the user's operation function options and the frequency of user misoperation under the premise of ensuring cleaning effect; 2) The application can realize dynamic analysis of the top priority of high-frequency washing program options / delay time length options and improve the top hit rate of high-frequency options by constructing the priority ranking result of the user's dishwasher use program bias sequence / delay time length option based on the user's historical operation data; 3) Based on the adjustment results of the user's delay time length options and washing program options in the reservation interface, combined with the user's work period, energy consumption prediction data, and the like, the application dynamically generates user push program switching suggestions, effectively saving the energy consumption of the dishwasher under the premise of ensuring cleaning effect. BRIEF DESCRIPTION OF DRAWINGS

[0019] The accompanying drawings are used to provide a further understanding of the application, and constitute a part of the specification, which is used together with embodiments of the application to explain the application, and does not constitute a limitation on the application. In the drawings: Fig. 1 is a structural schematic diagram of a touch screen intelligent monitoring system for a dishwasher according to the application; Fig. 2 is a flow schematic diagram of a touch screen intelligent monitoring method for a dishwasher according to the application. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the application will be described in detail below with reference to the drawings of the embodiments of the application. Obviously, the described embodiments are only a part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the application.

[0021] Please refer to Figs. 1-2 , the application provides a technical solution: as shown in Fig. 1 , the embodiment provides a touch screen intelligent monitoring system for a dishwasher, which comprises a water quality state 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; The water quality state management module acquires water quality data and turbidity data of the dishwasher in real time, constructs water quality state parameters of the dishwasher, and dynamically adjusts the rinse agent dispensing level of the dishwasher at the current time and washing program recommendation data based on the water quality state parameters; The reservation interface program recommendation management module comprises a historical program use condition statistical unit, a use program bias sequence construction unit, and a touch screen display management unit; The historical program use condition statistics unit records user historical program use data and statistics the use conditions of different programs; The use program bias sequence construction unit constructs a user's dishwasher use program bias sequence in the reservation interface according to the statistical results of the historical program use conditions; The touch screen display management unit displays the elements in the user's dishwasher use program bias sequence in turn on the top of the dishwasher touch screen; 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 period according to the user's cleaning parameter adjustment results in the reservation interface of the dishwasher touch screen; The energy saving potential analysis unit analyzes the energy saving potential coefficients of each element in the user's dishwasher use program bias sequence compared to the user's cleaning parameter adjustment results in the reservation interface, in combination with the historical working data of the dishwasher and the user's dishwasher use program bias sequence; The switching suggestion generation unit generates a user push program switching suggestion according to the analysis results of the energy saving potential analysis unit; The push program switching suggestion feedback management module manages the program recommendation content of the reservation interface of the dishwasher touch screen based on the generated user push program switching suggestion.

[0022] As shown in Fig. 2 The embodiment provides a touch screen intelligent monitoring method for a dishwasher, which comprises the following steps: S1, real-time acquisition of water quality data and turbidity data of the dishwasher, construction of water quality state parameters of the dishwasher, and dynamic adjustment of the current time dishwasher rinse agent dispensing level and washing program recommendation data based on the water quality state parameters; The water quality data represents the hardness level of the water in the dishwasher, and the hardness level of the water belongs to the interval [1, n], where n is a preset constant; In the process of dynamically adjusting the current time dishwasher rinse agent dispensing level recommendation data based on the water quality state parameters, the dishwasher rinse agent dispensing level belongs to the interval [1, m], and m is a preset constant; the dishwasher rinse agent dispensing level recommendation data and the hardness level of the water are one-to-one corresponding, and the mapping relationship between the dishwasher rinse agent dispensing level recommendation data and the hardness level of the water involves the following calculation formula: Wherein, M represents the dishwasher rinse agent dispensing level recommendation data; N represents the hardness level of the water; r represents a preset water quality mapping relationship factor, and r belongs to (0, 1); represents the up-round result corresponding to r·N; M is less than or equal to m.

[0023] The turbidity data is the turbidity value of the corresponding water monitoring; in the process of dynamically adjusting the dish-washing machine washing program recommendation data of the current time based on the water quality state parameter, the turbidity data in the water quality state parameter of the dish-washing machine corresponding to 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 water quality state parameter of the dish-washing machine corresponding to the current time is less than or equal to the second turbidity threshold, the energy-saving type washing program is recommended in the dish-washing machine touch screen at the current time; If the turbidity data in the water quality state parameter of the dish-washing machine corresponding to the current time is greater than or equal to the first turbidity threshold, the strong type washing program is recommended in the dish-washing machine touch screen at the current time; Otherwise, the standard type washing program is recommended in the dish-washing machine touch screen at the current time.

[0024] S2, record the user historical program use data, and count the use of different programs; in the reservation interface, a dish-washing machine use program preference sequence of the user is constructed according to the statistical result of the historical program use; and the elements in the dish-washing machine use program preference sequence of the user are displayed in turn on the dish-washing machine touch screen; The use of different programs in S2 includes the use frequency of each program corresponding to the user historical program use data and the ratio of the use frequency of the corresponding program to the total use frequency of each program; In the process of constructing the dish-washing machine use program preference sequence of the user, the preference evaluation value of each program based on the water quality state parameter of the current time is calculated, and each program is sorted in descending order of the preference evaluation value to obtain the dish-washing machine use program preference sequence of the user; the calculation formula involved in the calculation of the preference evaluation value of each program based on the water quality state parameter of the current time is as follows: Wherein, AV j represents the preference evaluation value of the jth program based on the water quality state parameter of the current time; PK j represents the ratio of the use frequency of the jth program in the statistical result of the historical program use to the total use frequency of each program; PK min represents each PK j corresponding to different values of j respectively; and min X j represents the similarity of the water quality state parameter of the jth program in the statistical result of the historical program use to the water quality state parameter of the current time when used on average each time; In this embodiment, the water quality state parameter of the jth program in the statistical result of the historical program usage is recorded as (N1, C); wherein, N1 represents the average value of the water quality data in the water quality state parameter of the jth program in the statistical result of the historical program usage; C represents the average value of the turbidity data in the water quality state parameter of the jth program in the statistical result of the historical program usage; the water quality state parameter at the current time is recorded as (ND, CD); ND represents the water quality data at the current time; CD represents the turbidity data at the current time; DP j represents the average value of the washing rate of the jth program in the statistical result of the historical program usage; DZ j represents the average value of the washing rate of any program in the statistical result of the historical program usage; τ represents a preset weight coefficient; The average value of the washing rate of the same washing program corresponding to each call of the same washing program of the user's dishwasher under the same water quality state parameter is taken as the washing rate of the corresponding washing program of the user's dishwasher under the corresponding water quality state parameter; the washing rate is equal to 1 minus the average value of the ratio of the residual stain area on each tableware to the surface area of the corresponding tableware after the corresponding washing program of the dishwasher is called, and the corresponding percentage of the difference is obtained; In this embodiment, the washing rate of the tableware after the dishwasher executes the washing program is obtained according to the international standard (such as IEC / EN60436) and the corresponding national standard of each country (such as GB / T 20290 of China); the main determination method is as follows: 1) Set a standardized test load, specifically use a set of strictly specified, material and size standardized test tableware (plates, cups, bowls, knives, forks and spoons, etc.); the configuration of the load (the number and placement of each kind of tableware) is clearly specified in the standard, ensuring that the test conditions are consistent each time; 2) Configure a standardized stain, specifically use an artificially prepared stain with strictly controlled composition and viscosity, simulating the most difficult-to-clean common food residues; common stains include: oatmeal stain (simulating starch-based stains such as rice and mashed potatoes), spinach stain (simulating green vegetable stains containing chlorophyll and fiber), egg stain (simulating protein-based stains such as fried eggs and gravy), and milk stain (simulating dairy product stains); 3) Perform stain pretreatment, place the tableware with stains applied in a specific environment (usually temperature 23±2°C, relative humidity 45-55%) for a period of time (usually 1 hour), allowing the stains to dry and solidify, simulating the situation where the tableware is placed for a period of time before cleaning in actual use; 4) Call the corresponding washing program in the dishwasher to clean the pretreated stained tableware; 5) After the cleaning is completed, the trained evaluators visually inspect the designated areas of each test dish under standard light source conditions (such as D65 light source) to check the residual stain situation; the evaluators score against the standard stain residual pictures (from completely unwashed 0% to completely clean 100%) to determine the percentage of residual stains covering the area; and the average of all evaluators' scores for all designated stain points on all test dishes is calculated to obtain the cleaning rate of the dishes after the corresponding washing program is executed by the dishwasher.

[0025] When the user's dishwasher usage program bias sequence elements are sequentially displayed on the top of the dishwasher touch screen, the delay duration options of the corresponding dishwasher touch screen reservation interface are fitted according to the Gaussian distribution of the calling probability, and the priority ranking of the delay duration options is generated, and the calculation formula is as follows: Wherein, p t represents the probability of the user calling the delay duration t option in the reservation interface in the historical data; μ represents the delay duration with the highest frequency of calling in the reservation interface in the historical data; σ represents the standard deviation corresponding to the historical data of the user calling the delay duration option in the reservation interface; The priority ranking of the delay duration option is the ranking result of the corresponding delay duration option in the reservation interface according to the fitting result of the corresponding calling probability from large to small.

[0026] S3, according to the cleaning parameter adjustment result of the user in the reservation interface of the dishwasher touch screen, predict the working period of the user's dishwasher, and combine the historical working data of the dishwasher and 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 cleaning parameter adjustment result of the user in the reservation interface, and generate user push program switching suggestion; The cleaning parameter adjustment result of the user in S3 includes the called delay duration option and the called washing program; the working period of the user's dishwasher is recorded as [T1, T2]; wherein T1 represents the time point corresponding to the sum of the current time and the delay duration corresponding to the called delay duration option in the cleaning parameter adjustment result of the user; T2 represents the time point corresponding to the sum of T1 and the execution duration of the washing program called in the cleaning parameter adjustment result of the user in the database; The calculation formula involved in analyzing the energy saving potential coefficient of each element in the user's dishwasher usage program bias sequence compared with the cleaning parameter adjustment result of the user in the reservation interface in S3 is as follows: Wherein, Qi represents the energy saving potential coefficient of the i th element in the user's dishwasher usage program bias sequence compared with the cleaning parameter adjustment result of the user in the reservation interface; PLi represents the bias evaluation value of the washing program corresponding to the i-th element in the washing machine use program bias sequence in the user history program use data; PW t represents the power consumption at time t from the start time point of the corresponding washing program in the process of the washing program called in the user's cleaning parameter adjustment result in the historical data; RA t represents the power consumption at time t from the start time point of the corresponding washing program in the process of the washing program called in the user's cleaning parameter adjustment result in the historical data; RA t1 represents the power consumption at time t1 from the start time point of the corresponding washing program in the process of the washing program corresponding to the i-th element in the user's washing machine use program bias sequence in the historical data; RAi t1 represents the power consumption at time t from the start time point of the corresponding washing program in the process of the washing program corresponding to the i-th element in the user's washing machine use program bias sequence in the historical data; RAi i represents the time point corresponding to the sum of T1 and the execution time of the washing program corresponding to the i-th element in the user's washing machine use program bias sequence in the database; Obtain the average value of the difference in washing efficiency between the i-th element in the user's washing machine use program bias sequence and the washing program called in the user's cleaning parameter adjustment result in the reservation interface under the same water quality state parameter in the historical data, denoted as Gi. If the average value of the difference in washing efficiency between the i-th element in the user's washing machine use program bias sequence and the washing program called in the user's cleaning parameter adjustment result in the reservation interface is greater than a preset value, the washing program corresponding to the element with the largest energy saving potential coefficient is selected as the user push program switching suggestion.

[0027] S4, based on the generated user push program switching suggestion, managing the program recommendation content of the washing machine touch screen reservation interface.

[0028] In the process of managing the program recommendation content of the washing machine touch screen reservation interface in S4, if the user push program switching suggestion is the same as the washing program called in the user's cleaning parameter adjustment result, it is determined that the user's cleaning parameter adjustment result at the current time is the optimal solution, and the user push program switching suggestion does not need to be fed back in the reservation interface of the washing machine touch screen; otherwise, the user push program switching suggestion is fed back in the reservation interface of the washing machine touch screen.

[0029] It is to be noted that, in the present text, relational terms such as first and second and the like can be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0030] Finally, it should be noted that the above-mentioned only constitutes preferred embodiments of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications, equivalent replacements, improvements and the like of the technical solutions described in the foregoing embodiments can still be made. Any modifications, equivalent replacements, improvements and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A touch screen intelligent monitoring method for a dishwasher, characterized in that: The method comprises: S1. Real-time acquisition of dishwasher water quality and turbidity data to construct dishwasher water quality status parameters; and dynamically adjust the current dishwasher rinse agent dosage level and wash program recommendation data based on the water quality status parameters; S2. Record the user's historical program usage data and calculate the usage of different programs; in the reservation interface, construct the user's dishwasher program usage bias sequence based on the historical program usage statistics; and sequentially display the elements of the user's dishwasher program usage bias sequence at the top of the dishwasher touch screen; S3. Predicting the user's dishwasher operating time based on the user's washing parameter adjustment results in the reservation interface of the dishwasher's touchscreen. Combining historical dishwasher operating data and the user's dishwasher program preference sequence, analyzing the energy-saving potential coefficient of each element in the user's dishwasher program preference sequence compared to the user's washing parameter adjustment results in the reservation interface, and generating a program switching recommendation for the user. S4. Based on the generated user-pushed program switching suggestions, manage the program recommendation content on the dishwasher touch screen reservation interface.

2. The touch screen intelligent monitoring method for a dishwasher according to claim 1, characterized in that: The water quality data represents the hardness level of the water in the dishwasher, and the hardness level of the water belongs to the interval [1, n], where n is a preset constant; In the process of dynamically adjusting the recommended dishwasher rinse agent dosage level data at the current time based on the water quality state parameter, the dishwasher rinse agent dosage level belongs to the interval [1, m], where m is a preset constant; the dishwasher rinse agent dosage level recommended data corresponds to the water hardness level one-to-one, and the calculation formula involved in the mapping relationship between the dishwasher rinse agent dosage level recommended data and the water hardness level is as follows: Where M represents the recommended data for the level of dishwasher rinse aid; N represents the water hardness level; r represents the preset water quality mapping factor, and r is (0, 1); Represents the result of rounding up corresponding to r·N; wherein M is less than or equal to m.

3. The touch screen intelligent monitoring method for a dishwasher according to claim 1, characterized in that: The turbidity data is a turbidity value of 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 state parameter, the turbidity data in the water quality state parameter of the dishwasher corresponding to 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 parameter corresponding to the current time is less than or equal to the second turbidity threshold, then an energy-saving washing program is recommended on the dishwasher touch screen at the current time; If the turbidity data in the dishwasher water quality state parameter corresponding to the current time is greater than or equal to the first turbidity threshold, then a strong washing program is recommended on the dishwasher touch screen at the current time; Otherwise, the current time recommends a standard washing program on the dishwasher touch screen.

4. The touch screen intelligent monitoring method for a dishwasher according to claim 1, characterized in that: The statistics of 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; In the process of constructing the bias sequence of dishwasher usage programs for a user, a bias evaluation value of each program based on the current water quality state parameter is calculated, and each program is sorted in descending order of the bias evaluation value to obtain the bias sequence of dishwasher usage programs for the user. The bias evaluation value of each program based on the current water quality state parameter is calculated using the following formula: Among them, AV j PK represents the bias evaluation value of the jth program based on the water quality state parameters at the current time; j Indicates the ratio of the usage frequency of the jth program to the total usage frequency of all programs in the statistical results of historical program usage; PK min Indicates the PKs corresponding to different values ​​of j j The minimum value in X j The DP represents the similarity between the water quality parameters of the jth program at each use and the water quality parameters at the current time in the statistical results of the historical program usage; j The average cleaning rate of each call to the jth program in the statistical results of historical program usage; DZ j Indicates the average cleaning rate of each call of any program in the statistical results of historical program usage; τ represents the preset weight coefficient; The average cleaning rate corresponding to each call of the same washing program by the user's dishwasher under the same water quality state parameters is used as the cleaning rate of the corresponding washing program called by the user's dishwasher under the corresponding water quality state parameters; the cleaning rate is equal to the percentage corresponding to the difference between 1 and the average ratio of the residual stain area on each tableware after the dishwasher calls the corresponding washing program to the surface area of ​​the corresponding tableware; When the elements in the user's dishwasher usage program preference sequence are sequentially displayed at the top of the dishwasher touch screen, the delay time options on the corresponding dishwasher touch screen reservation interface are fitted with a Gaussian distribution for call probability, and a priority ranking of the delay time options is generated. The calculation formula involved is as follows: Among them, p t represents the probability of a user calling the option with a delay duration of t in the reservation interface in the historical data; μ represents the delay duration that users call most frequently in the reservation interface in the historical data; σ represents the standard deviation of the historical data corresponding to the delay duration options that users call in the reservation interface; The priority ranking of the delay duration options is a result of sorting the corresponding delay duration options in the reservation interface in descending order of the corresponding call probability fitting results.

5. The touch screen intelligent monitoring method for a dishwasher according to claim 4, characterized in that: The user's washing parameter adjustment result in S3 includes the called delay time option and the called washing program; the user's dishwasher working period is recorded as [T1, T2]; wherein T1 represents the time point corresponding to the sum of the current time and the corresponding time of the delay time option called in the user's washing parameter adjustment result; T2 represents the time point corresponding to the sum of T1 and the execution time of the washing program called in the user's washing parameter adjustment result in the database; The calculation formula for the energy saving potential coefficient of each element in the user's dishwasher usage program preference sequence compared with the user's washing parameter adjustment result in the reservation interface in S3 is as follows: Where Qi represents the energy-saving potential coefficient of the i-th element in the user's dishwasher usage program preference sequence compared to the user's washing parameter adjustment result 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 program bias sequence in the user's historical program usage data; t RA represents the power consumption during the execution of the washing program called in the user's washing parameter adjustment result in the historical data, from the execution time t of the corresponding washing program starting time point; t Indicates the electricity price in the database preset electricity price table at the corresponding time point during the execution of the washing program called in the user's washing parameter adjustment result, when the execution time t from the corresponding washing program start time point is t; each time point in the database preset electricity price table corresponds to a unique electricity price; PWi t1 RAi represents the power consumption during the execution of the washing program corresponding to the i-th element in the user's dishwasher usage program bias sequence in the historical data, from the execution time t1 of the corresponding washing program starting time point; t1 Indicates the electricity price in the database preset electricity price table at the time t corresponding to the execution time of the washing program corresponding to the i-th element in the user's dishwasher usage program bias sequence; the washing program start time is equal to T1; T2 i represents the time point corresponding to the sum of T1 and the execution time of the washing program corresponding to the i-th element in the user's dishwasher usage program preference sequence in the database; Obtain the average value of the difference in cleaning rate between the i-th element in the user's dishwasher usage program preference sequence and the washing program called in the user's washing parameter adjustment results in the reservation interface under the same water quality parameters in the historical data, recorded as Gi; Among the elements in the user's dishwasher usage program preference sequence whose average difference in cleaning rate compared to the washing program called in the user's cleaning parameter adjustment result in the reservation interface is greater than a preset value, the washing program corresponding to the element with the largest energy-saving potential coefficient is used as a program switching recommendation pushed to the user.

6. The touch screen intelligent monitoring method for a dishwasher according to claim 1, characterized in that: In the process of managing the program recommendation content on the reservation interface of the dishwasher touch screen in S4, if the program switching suggestion pushed by the user 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 feedback the program switching suggestion to the user on the reservation interface of the dishwasher touch screen; Otherwise, the user will be fed back a program switching suggestion on the reservation interface of the dishwasher's touch screen.

7. A touch screen intelligent monitoring system for a dishwasher, applying the touch screen intelligent monitoring method for a dishwasher according to any one of claims 1 to 6, characterized in that: 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; The water quality status management module obtains the water quality data and turbidity data of the dishwasher in real time, constructs the water quality status parameters of the dishwasher; and dynamically adjusts the current dishwasher rinse agent dosage level and washing program recommendation data based on the water quality status parameters; The program recommendation management module on the reservation interface records the user's historical program usage data and calculates 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; and the elements in the user's dishwasher usage program preference sequence are sequentially displayed at the top of the dishwasher touch screen; The program switching suggestion analysis module predicts the user's dishwasher operation time based on the user's washing parameter adjustment results in the reservation interface of the dishwasher touch screen, and combines the dishwasher's historical operation data and the user's dishwasher program usage bias sequence to analyze the energy saving potential coefficient of each element in the user's dishwasher program usage bias sequence compared to the user's washing parameter adjustment results in the reservation interface, and generates a user-pushed program switching suggestion; 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 suggestion.

8. The touch screen intelligent monitoring system for a dishwasher according to claim 7, 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 the user's historical program usage data and counts the usage of different programs; The usage program bias sequence construction unit constructs the user's dishwasher usage program bias sequence based on the statistical results of historical program usage in the reservation interface; The touch screen display management unit sequentially displays the elements in the user's dishwasher usage program preference sequence at the top of the dishwasher touch screen.

9. The touch screen intelligent monitoring system for a dishwasher according to claim 7, 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 period based on the user's cleaning parameter adjustment result in the reservation interface of the dishwasher touch screen; The energy-saving potential analysis unit combines the dishwasher's historical operating data and 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 to the user's washing parameter adjustment result in the reservation interface; The switching suggestion generating unit generates a user-pushed program switching suggestion based on the analysis result of the energy-saving potential analyzing unit.

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