A scale detection method and device, an electrical appliance and a storage medium

Abstract

The present application relates to the technical field of intelligent household appliances, and discloses a scale detection method and device, an electric appliance and a storage medium, wherein the present application obtains the running duration of the current electric appliance and the total dissolved solids content value of the outlet water of the water inlet tank, calculates the latest cumulative mineral input value based on the recorded cumulative mineral input value, the running duration and the total dissolved solids content value, determines the current scale value based on the mathematical model between the preset cumulative mineral input value and the scale value and the latest cumulative mineral input value, and finally triggers the descaling reminding operation when the current scale value is greater than the preset scale threshold, so as to realize the prediction of the scale accumulation through the non-contact total dissolved solids content value detection and the intelligent algorithm, automatically remind the user to descale when the scale reaches the threshold, solve the problem that the traditional method cannot dynamically adapt to different water quality and use modes, and prolong the service life of the equipment and improve the user experience.

Description

Technical Field

[0001] This invention relates to the field of smart home appliance technology, specifically to a method, apparatus, electrical equipment, and storage medium for detecting scale. Background Technology

[0002] After prolonged use, scale will accumulate on the inner wall of the steam generator and in the water circuit of a steam oven, reducing thermal efficiency and even damaging the equipment. Traditional descaling solutions rely on users to manually operate the descaling process regularly (e.g., every 3 months). However, the actual rate of scale accumulation is significantly affected by water quality (Total Dissolved Solids, TDS value) and usage frequency. Fixed-time reminders may lead to over-maintenance or excessive scale buildup. Other scale detection technologies (such as electrode conductivity method, optical sensors, etc.) require direct contact with the water circuit, which is costly and susceptible to high-temperature interference, making them unsuitable for consumer-grade steam ovens. Summary of the Invention

[0003] In view of this, the present invention provides a method, apparatus, electrical equipment and storage medium for detecting scale, in order to solve the problem that traditional periodic descaling may result in over-maintenance or excessive scale.

[0004] In a first aspect, the present invention provides a scale detection method applied to an electrical appliance, the electrical appliance including a water inlet tank, the method comprising: acquiring the running time of the current electrical appliance operation and the total dissolved solids content of the water effluent from the water inlet tank; calculating a latest cumulative mineral input value based on the currently recorded cumulative mineral input value, the running time, and the total dissolved solids content; determining a current scale value based on a preset mathematical model between the cumulative mineral input value and the scale value, and the latest cumulative mineral input value; wherein the mathematical model between the cumulative mineral input value and the scale value is a quadratic function polynomial model with respect to the cumulative mineral input value, and determining the current scale value based on the preset mathematical model between the cumulative mineral input value and the scale value, and the latest cumulative mineral input value, comprises: inputting the latest cumulative mineral input value into the quadratic function polynomial model with respect to the cumulative mineral input value to obtain the current scale value; and triggering a descaling reminder operation when the current scale value is greater than a preset scale threshold.

[0005] The scale detection method provided in this embodiment obtains the running time of the current electrical equipment and the total dissolved solids content (TDS) of the water effluent from the inlet tank. Based on the currently recorded cumulative mineral input value, running time, and TDS, the latest cumulative mineral input value is calculated. Then, based on a preset mathematical model between the cumulative mineral input value and the scale value, and the latest cumulative mineral input value, the current scale value is determined. Finally, when the current scale value exceeds a preset scale threshold, a descaling reminder is triggered. This method achieves the prediction of scale accumulation through non-contact TDS detection and intelligent algorithms, and automatically reminds the user to descale when the scale reaches the threshold. It solves the problem that traditional methods cannot dynamically adapt to different water qualities and usage patterns, thus extending the service life of the equipment and improving the user experience.

[0006] The quadratic function polynomial model designed in this invention is adapted to the characteristics of a large initial slope, which can accurately calculate the initial scale value, trigger light descaling in advance, and avoid the long-term adhesion of scale to form hard scale. When the scale accumulation enters the slowdown stage, the scale value calculated by the quadratic function polynomial model increases slowly, which can avoid misjudging the scale as excessive by using a linear model and causing equipment damage due to frequent disassembly and cleaning.

[0007] In one optional implementation, calculating the latest cumulative mineral input value based on the currently recorded cumulative mineral input value, the runtime, and the total dissolved solids content value includes: multiplying the runtime and the total dissolved solids content value to obtain a first mineral product; and adding the first mineral product to the currently recorded cumulative mineral input value to obtain the latest cumulative mineral input value.

[0008] Compared to traditional fixed-period maintenance methods, this invention can accurately determine the wear and tear or accumulated mineral levels of electrical equipment by calculating the cumulative mineral input value, thus avoiding performance degradation problems such as decreased spray volume and increased noise, and maintaining the long-term stable performance of electrical equipment.

[0009] In one optional implementation, the quadratic function polynomial model with respect to the cumulative mineral input value is obtained through the following steps: acquiring multiple sets of training data, wherein each set of training data includes each cumulative mineral input value and the corresponding measured scale value; constructing a quadratic function polynomial model with the cumulative mineral input value as the independent variable and the measured scale value as the dependent variable; and performing least squares fitting on the quadratic function polynomial model using the multiple sets of training data to obtain the quadratic function polynomial model with respect to the cumulative mineral input value.

[0010] This invention solves the problem that traditional scale control relies on experience-based judgment and cannot quantify the relationship between mineral input and scale by collecting measured data, constructing a quadratic function model, and using least squares fitting logic.

[0011] In one optional implementation, the multiple sets of training data are obtained through the following steps: setting multiple different total dissolved solids (TDS) values ​​for the water effluent from the inlet tank; setting multiple different running times; combining the different TDS values ​​and different running times to obtain multiple operating parameter combinations; performing multiple running cycles for each operating parameter combination; and after performing a predetermined number of running cycles, measuring the scale value inside the electrical equipment to obtain the measured scale value corresponding to each operating parameter combination; multiplying the TDS value of the water effluent from the inlet tank in each running process by the cooking time to obtain the second product corresponding to each running process; accumulating the second products calculated from multiple running processes corresponding to each operating parameter combination to obtain the cumulative mineral input value corresponding to each operating parameter combination; and using the cumulative mineral input value and the measured scale value corresponding to each operating parameter combination as a set of training data.

[0012] This invention solves the problems of single operating conditions and strong data randomness in traditional data acquisition by setting multi-dimensional parameters, combining and generating operating conditions, performing multiple loop verifications, and quantifying and calculating cumulative values. It provides high-quality and highly reliable training data for subsequent quadratic function polynomial model fitting, ensuring that the model can accurately reflect the true relationship between the cumulative mineral input value and the measured scale value.

[0013] In an optional implementation, the method further includes: in response to the user performing a descaling operation, clearing the currently recorded cumulative mineral input value to zero.

[0014] After the user completes the descaling operation, the present invention can clear the currently recorded cumulative mineral input value to zero, thus avoiding accidental triggering of reminders.

[0015] In an optional implementation, the method further includes: when the total dissolved solids content of the water effluent from the inlet tank is detected to be greater than a preset content threshold, sending a prompt message to the user indicating that the water hardness does not meet the usage requirements.

[0016] When the water quality detected at the inlet tank exceeds a preset standard threshold, this invention intervenes in a timely manner to prompt the user to change the water quality, thereby avoiding damage to the equipment caused by high-hardness water, extending the equipment's service life, and ensuring the safety of the water used by the user.

[0017] Secondly, the present invention provides a scale detection device applied to electrical equipment, the electrical equipment including a water inlet tank, the device comprising: a data acquisition module for acquiring the running time of the current electrical equipment operation and the total dissolved solids content of the water effluent from the water inlet tank; a mineral value calculation module for calculating the latest cumulative mineral input value based on the currently recorded cumulative mineral input value, the running time, and the total dissolved solids content; and a scale value calculation module for determining the current scale value based on a preset mathematical model between the cumulative mineral input value and the scale value, and the latest cumulative mineral input value; wherein the mathematical model between the cumulative mineral input value and the scale value is a quadratic function polynomial model about the cumulative mineral input value, and the scale value calculation module includes: a scale value prediction unit for inputting the latest cumulative mineral input value into the quadratic function polynomial model about the cumulative mineral input value to obtain the current scale value; and a descaling reminder module for triggering a descaling reminder operation when the current scale value is greater than a preset scale threshold.

[0018] Thirdly, the present invention provides an electrical device comprising: a water inlet tank and a controller, wherein the controller comprises: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to perform the scale detection method described in the first aspect or any corresponding embodiment thereof.

[0019] In one alternative implementation, the electrical appliance is a steam oven.

[0020] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to perform the scale detection method described in the first aspect or any corresponding embodiment thereof.

[0021] The present invention has the following technical effects:

[0022] The scale detection method provided in this embodiment obtains the running time of the current electrical equipment and the total dissolved solids content (TDS) of the water effluent from the inlet tank. Based on the currently recorded cumulative mineral input value, running time, and TDS, the latest cumulative mineral input value is calculated. Then, based on a preset mathematical model between the cumulative mineral input value and the scale value, and the latest cumulative mineral input value, the current scale value is determined. Finally, when the current scale value exceeds a preset scale threshold, a descaling reminder is triggered. This method achieves the prediction of scale accumulation through non-contact TDS detection and intelligent algorithms, and automatically reminds the user to descale when the scale reaches the threshold. It solves the problem that traditional methods cannot dynamically adapt to different water qualities and usage patterns, thus extending the service life of the equipment and improving the user experience. Attached Figure Description

[0023] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0024] Figure 1 This is a schematic flowchart of a scale detection method according to an embodiment of the present invention;

[0025] Figure 2 This is a schematic flowchart of another scale detection method according to an embodiment of the present invention;

[0026] Figure 3 This is a schematic flowchart of another scale detection method according to an embodiment of the present invention;

[0027] Figure 4 This is a flowchart illustrating the process of scale detection according to an embodiment of the present invention;

[0028] Figure 5 This is a structural block diagram of an electrical device according to an embodiment of the present invention;

[0029] Figure 6 This is a structural block diagram of a scale detection device according to an embodiment of the present invention;

[0030] Figure 7 This is a schematic diagram of the hardware structure of the controller according to an embodiment of the present invention. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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, 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.

[0032] After prolonged use, scale will accumulate on the inner wall of the steam generator and in the water passages of a steam oven, reducing thermal efficiency and even damaging the equipment. Other common descaling methods on the market include simple reminders based on the number of uses, but these ignore differences in water quality and are inaccurate in their predictions; or indirect inference of scale through temperature sensors, but these methods are slow to respond and easily affected by environmental factors.

[0033] According to an embodiment of the present invention, a method for detecting scale is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0034] This embodiment provides a method for detecting limescale, which can be used in electrical equipment. The electrical equipment includes a water inlet tank and a steam generator. Water in the water inlet tank is pumped into the steam generator to generate steam, which is then used for operations. However, when the water is heated and vaporized, minerals in the water may precipitate, accumulating limescale on the inner wall of the steam generator and in the water passages. The limescale detection method provided in this embodiment is then used to remind users to remove limescale. The type of electrical equipment is not limited and can include, but is not limited to, steam ovens, garment steamers, water dispensers, or electric pressure cookers, etc., which are only examples.

[0035] Figure 1 This is a flowchart of a scale detection method according to an embodiment of the present invention, such as... Figure 1 As shown, the process includes the following steps:

[0036] Step S101: Obtain the running time of the current electrical equipment and the total dissolved solids content of the water effluent from the inlet tank.

[0037] This invention embodiment can be equipped with a Total Dissolved Solids (TDS) detection device on electrical equipment to detect the TDS value of the water effluent from the inlet tank in real time, and calculate the average TDS value during operation as the TDS value for subsequent calculation of scale levels, in units of ppm or 1 mg / L; and can record the effective working time of the electrical equipment during operation, in units of minutes; wherein, a calibration cycle for the TDS detection device can be set, and within the preset calibration cycle, the user can be reminded to calibrate the TDS detection device, for example, by reminding the user to calibrate the TDS detection device with a standard TDS solution to determine the accuracy of the TDS detection device. The TDS detection device can be a TDS sensor, which is only an example.

[0038] In one optional implementation, when the total dissolved solids content of the water effluent from the inlet tank is detected to be greater than a preset content threshold, a prompt message indicating that the water hardness does not meet the usage requirements is sent to the user.

[0039] Because the water quality at the inlet tank affects safe use, an additional TDS standard threshold can be set (generally set to 300ppm). After obtaining the TDS value of the current water at the inlet tank, it is determined whether the current TDS value is greater than the preset TDS standard threshold. If the current TDS value is greater than the preset TDS standard threshold, a pop-up window can remind the user that "high water hardness has been detected. Long-term use will affect the performance of the machine. It is recommended to use purified water or filtered water." This is just an example to balance equipment maintenance and usage safety.

[0040] When the water quality detected at the inlet tank exceeds a preset standard threshold, this invention intervenes in a timely manner to prompt the user to change the water quality, thereby avoiding damage to the equipment caused by high-hardness water, extending the equipment's service life, and ensuring the safety of the water used by the user.

[0041] Step S102: Calculate the latest cumulative mineral input value based on the currently recorded cumulative mineral input value, runtime, and total dissolved solids content.

[0042] This embodiment of the invention does not limit the method of calculating the latest cumulative mineral input value based on the currently recorded cumulative mineral input value, running time, and total dissolved solids content. For example, the unit time outflow of the inlet tank during the current operation can be obtained, and the obtained TDS, unit time outflow, and running time can be multiplied to obtain the current mineral input value. Then, the current mineral input value can be added to the currently recorded cumulative mineral input value to obtain the latest cumulative mineral input value. This is just an example. In this embodiment, dual backup can be set in the storage module of the electrical equipment to prevent the latest cumulative mineral input value from being lost due to power failure, malfunction, or other reasons and thus unable to participate in subsequent scale detection. The backup data can be synchronized to the cloud or the mobile terminal connected to the electrical equipment on a regular basis to facilitate the provision of operating data during subsequent fault or operation detection of the electrical equipment.

[0043] Step S103: Determine the current scale value based on the preset mathematical model between the cumulative mineral input value and the scale value, and the latest cumulative mineral input value.

[0044] This invention allows for the establishment of a relationship between cumulative mineral input values ​​and scale values ​​through prior analysis of multiple experimental data or actual operating conditions. The specific implementation method of the mathematical model between the cumulative mineral input values ​​and scale values ​​is not limited. For example, the mathematical model could be: Scale value = Preset conversion coefficient × Cumulative mineral input value + Preset compensation coefficient × Running time and duration correction coefficient. Here, the preset conversion coefficient can be 0.8, indicating that approximately 80% of the cumulative minerals will form scale. This is just an example. Furthermore, compensation can be set to compensate for the accelerated effect of high temperatures on scale formation. For instance, when a steam oven is in high-temperature cooking mode, the steam generator temperature is high, and the mineral precipitation rate is faster. The duration correction coefficient can be set to a higher coefficient, such as 1.2-1.5, and then multiplied by the running time and the preset compensation coefficient to obtain the correction value. Finally, the correction value can be added to the scale formed by the minerals to obtain the current scale value. This is just an example.

[0045] Specifically, the mathematical model between the cumulative mineral input value and the scale value is a quadratic function polynomial model about the cumulative mineral input value. Based on the preset mathematical model between the cumulative mineral input value and the scale value, and the latest cumulative mineral input value, the current scale value is determined, including: inputting the latest cumulative mineral input value into the quadratic function polynomial model about the cumulative mineral input value to obtain the current scale value.

[0046] This invention takes into account the non-linear trend of scale accumulation, with rapid initial precipitation (large slope when mineral input is low) and slowing down later (small slope when mineral input is high). Furthermore, extensive experimental data observations have demonstrated that scale accumulation conforms to the characteristics of a quadratic function. Compared to traditional linear models, this invention solves the problems of linear models failing to distinguish scale accumulation stages and exhibiting large calculation errors. Therefore, the following quadratic function polynomial model is selected to calculate the current scale value:

[0047]

[0048] Where S represents the current scale level; , , For coefficients calibrated through experiments (e.g.) , , ).

[0049] The quadratic function polynomial model designed in this invention is adapted to the characteristics of a large initial slope, which can accurately calculate the initial scale value, trigger light descaling in advance, and avoid the long-term adhesion of scale to form hard scale. When the scale accumulation enters the slowdown stage, the scale value calculated by the quadratic function polynomial model increases slowly, which can avoid misjudging the scale as excessive by using a linear model and causing equipment damage due to frequent disassembly and cleaning.

[0050] Step S104: When the current scale value is greater than the preset scale threshold, trigger the descaling reminder operation.

[0051] This invention can compare the current scale value with a preset scale threshold. If the current scale value is greater than the preset scale threshold, a descaling reminder can be triggered, such as a pop-up window on the device display screen, a push notification on a mobile phone connected to the electrical device, or a buzzer alarm. The setting of the preset scale threshold is not limited and can be set according to the material of the electrical device and the capacity of the steam generator. This is just an example.

[0052] The scale detection method provided in this embodiment obtains the running time of the current electrical equipment and the total dissolved solids content (TDS) of the water effluent from the inlet tank. Based on the currently recorded cumulative mineral input value, running time, and TDS, the latest cumulative mineral input value is calculated. Then, based on a preset mathematical model between the cumulative mineral input value and the scale value, and the latest cumulative mineral input value, the current scale value is determined. Finally, when the current scale value exceeds a preset scale threshold, a descaling reminder is triggered. This method achieves the prediction of scale accumulation through non-contact TDS detection and intelligent algorithms, and automatically reminds the user to descale when the scale reaches the threshold. It solves the problem that traditional methods cannot dynamically adapt to different water qualities and usage patterns, thus extending the service life of the equipment and improving the user experience.

[0053] This embodiment provides a method for detecting scale, which can be used in electrical equipment. Figure 2 This is a flowchart of a scale detection method according to an embodiment of the present invention, such as... Figure 2 As shown, the process includes the following steps:

[0054] Step S201: Obtain the running time of the current electrical equipment and the total dissolved solids content of the water effluent from the inlet tank. For details, please refer to [link to relevant documentation]. Figure 1 Step S101 of the illustrated embodiment will not be described again here.

[0055] Step S202: Calculate the latest cumulative mineral input value based on the currently recorded cumulative mineral input value, runtime, and total dissolved solids content.

[0056] Specifically, step S202 includes:

[0057] Step S2021: Multiply the runtime and the total dissolved solids content to obtain the first mineral product.

[0058] Step S2022: Add the first mineral product to the currently recorded cumulative mineral input value to obtain the latest cumulative mineral input value.

[0059] In embodiments of the present invention, the latest cumulative mineral input value can be calculated based on the runtime and total dissolved solids content using the following formula:

[0060]

[0061] Where C represents the latest cumulative mineral input value; This represents the average influent TDS value during the i-th equipment operation. Let be the runtime of the i-th device operation.

[0062] Compared to traditional fixed-period maintenance methods, this invention can accurately determine the wear and tear or accumulated mineral levels of electrical equipment by calculating the cumulative mineral input value, thus avoiding performance degradation problems such as decreased spray volume and increased noise, and maintaining the long-term stable performance of electrical equipment.

[0063] In order to ensure that the water quality of the water outlet from the inlet tank meets the water quality standards, the existing electrical equipment is equipped with a filter cartridge at the outlet of the inlet tank. The filter cartridge adsorbs minerals. At this time, the difference between the maximum mineral adsorption capacity of the filter cartridge and the cumulative mineral input value can be calculated to determine the remaining life of the filter cartridge. When the calculated difference is less than the preset standard difference, the filter cartridge replacement reminder operation can be triggered to achieve timely replacement of the filter cartridge and ensure the safety of the water quality.

[0064] Step S203: Determine the current scale value based on the preset mathematical model between the cumulative mineral input value and the scale value, and the latest cumulative mineral input value.

[0065] The mathematical model between the cumulative mineral input value and the scale value is a quadratic function polynomial model about the cumulative mineral input value. Based on the preset mathematical model between the cumulative mineral input value and the scale value and the latest cumulative mineral input value, the current scale value is determined, including: inputting the latest cumulative mineral input value into the quadratic function polynomial model about the cumulative mineral input value to obtain the current scale value.

[0066] Furthermore, embodiments of the present invention can record the calculated cumulative mineral input value and the current scale value, and use the historical cumulative mineral input value and the current scale value to train the scale model. In order to combine the daily average mineral input of electrical equipment, the scale model can be used to predict the future scale growth curve, thereby triggering early warning and avoiding emergency shutdowns that may affect the operation of electrical equipment. For example, if it is predicted that the scale value will reach the threshold in 7 days, an early warning can be triggered 3 days in advance. Alternatively, the calculated current scale value can be compared with the measured scale value, and the coefficients of the quadratic function polynomial model can be optimized through algorithm iteration to make the model more accurate as the electrical equipment is used over time.

[0067] Step S204: When the current scale level exceeds the preset scale threshold, a descaling reminder is triggered. For details, please refer to [link to relevant documentation]. Figure 1 Step S104 of the illustrated embodiment will not be described again here.

[0068] Step S205: In response to the user performing the descaling operation, the currently recorded cumulative mineral input value is cleared to zero.

[0069] This invention does not limit the method of responding to user-initiated descaling operations. For example, the user interface of the electrical equipment can also be set with a "scale reset" function option. After the user cleans the scale, the user can select this function option to indicate that the descaling operation has been performed. The electrical equipment can automatically reset the latest cumulative mineral input value recorded to zero, avoiding false triggering of reminders due to the original cumulative value still being calculated after manual descaling. When the user clicks the function option, a secondary confirmation pop-up window can be displayed to avoid accidental operation. After confirmation, the current equipment status can be verified. The zeroing process can only be entered after the descaling mode ends. If the status is not met, a message such as "Please complete the descaling operation or troubleshoot the equipment" can be displayed. Alternatively, the electrical equipment may have a built-in descaling function (automatic filter flushing or electrolytic descaling module, etc.). After the operation is completed, when the TDS value of the effluent returns to the initial operating level of the equipment or the scale residue is less than a certain value, the zeroing operation is automatically triggered. This is just an example.

[0070] This embodiment provides a method for detecting scale, which can be used in electrical equipment, wherein the electrical equipment includes a water inlet tank. Figure 3 This is a flowchart of a scale detection method according to an embodiment of the present invention, such as... Figure 3 As shown, the process includes the following steps:

[0071] Step S301: Obtain the running time of the current electrical equipment and the total dissolved solids content of the water effluent from the inlet tank. For details, please refer to [link to relevant documentation]. Figure 2 Step S201 of the illustrated embodiment will not be described again here.

[0072] Step S302: Calculate the latest cumulative mineral input value based on the currently recorded cumulative mineral input value, runtime, and total dissolved solids content. For details, please refer to [link to relevant documentation]. Figure 2 Step S202 of the illustrated embodiment will not be described again here.

[0073] Step S303: Determine the current scale value based on the preset mathematical model between the cumulative mineral input value and the scale value, and the latest cumulative mineral input value.

[0074] The mathematical model between the cumulative mineral input value and the scale value is a quadratic function polynomial model about the cumulative mineral input value. Based on the preset mathematical model between the cumulative mineral input value and the scale value and the latest cumulative mineral input value, the current scale value is determined, including: inputting the latest cumulative mineral input value into the quadratic function polynomial model about the cumulative mineral input value to obtain the current scale value.

[0075] Specifically, the quadratic function polynomial model of the cumulative mineral input values ​​is obtained through the following steps:

[0076] Step S3031: Obtain multiple sets of training data, wherein each set of training data includes each cumulative mineral input value and the corresponding measured scale value.

[0077] In step S3032, a quadratic function polynomial model is constructed with the cumulative mineral input value as the independent variable and the measured scale value as the dependent variable.

[0078] Step S3033: Using multiple sets of training data, perform least squares fitting on the quadratic function polynomial model to obtain a quadratic function polynomial model for the cumulative mineral input value.

[0079] This invention takes into account the different mineral input rates and scale formation conditions of different electrical devices. Therefore, the collection cycle and sample size need to be specifically designed to ensure data coverage of the entire stage from "rapid initial accumulation to slowing down later." Data from all stages allows the model to accurately reflect the scale formation patterns under different input levels. Multiple sets of training data are obtained, including cumulative mineral input values ​​and corresponding measured scale values ​​for all stages. These sets of training data can then be cleaned and filtered to ensure their validity. This includes, but is not limited to, removing erroneous training data caused by abnormal TDS values, large deviations in measured scale values, or significant deviations in a particular data set from the trend. This ensures that valid data is retained, providing reliable input for subsequent fitting.

[0080] In this embodiment of the invention, the cumulative mineral input value is used as the independent variable and the measured scale value is used as the dependent variable. Based on the physical characteristics of scale accumulation being rapid in the early stage and slow in the later stage, a quadratic function polynomial model as shown in the following formula is constructed to closely reflect the actual physical nature of scale accumulation in electrical equipment:

[0081]

[0082] Where S represents the current scale level; C represents the cumulative mineral input value; Indicates the intercept (basal scale); Indicates the linearity coefficient (deposition efficiency); This represents a nonlinear coefficient (capturing acceleration or saturation; a negative value indicates deceleration in the later stages). This indicates a preset error term.

[0083] This invention can utilize multiple sets of valid training data to perform least squares regression on the constructed quadratic function polynomial model, fitting the coefficients of the quadratic function polynomial pattern. , , Finally, we obtain the quadratic function multinomial function model, that is... .

[0084] This invention solves the problem that traditional scale control relies on experience-based judgment and cannot quantify the relationship between mineral input and scale by collecting measured data, constructing a quadratic function model, and using least squares fitting logic.

[0085] Specifically, multiple sets of training data are obtained through the following steps: setting multiple different total dissolved solids (TDS) values ​​for the water effluent from the inlet tank; setting multiple different running times; combining different TDS values ​​and different running times to obtain multiple operating parameter combinations; performing multiple running cycles for each operating parameter combination; and measuring the scale value inside the electrical equipment after performing a predetermined number of running cycles to obtain the measured scale value corresponding to each operating parameter combination; multiplying the TDS value of the water effluent from the inlet tank in each running process by the cooking time to obtain the second product corresponding to each running process; summing the second products calculated from multiple running processes corresponding to each operating parameter combination to obtain the cumulative mineral input value corresponding to each operating parameter combination; and using the cumulative mineral input value and the measured scale value corresponding to each operating parameter combination as a set of training data.

[0086] The embodiments of the present invention can set 5 gradients for TDS levels (covering common water qualities), including but not limited to 50 ppm (pure water), 150 ppm (standard tap water), 300 ppm (hard water), 500 ppm (very hard water), and 700 ppm (extremely hard water); using a TDS standard solution or a real water source (which needs to be filtered to remove suspended solids to ensure that only dissolved solids have an impact).

[0087] In this embodiment of the invention, four gradients can be set for the running time (simulating real use). Taking a steam oven as an example, the four gradients include, but are not limited to, 10 minutes (short time, such as steaming vegetables), 30 minutes (medium time, such as steaming fish), 60 minutes (long time, such as steaming meat), and 120 minutes (extremely long time, simulating continuous use). Each time gradient includes single cooking and multiple cumulative cooking (e.g., 10 times × 10 minutes and 1 time × 100 minutes).

[0088] This invention can combine different total dissolved solids content values ​​and different running times to obtain multiple operating parameter combinations, and perform multiple rounds of operation cycles for each operating parameter combination (e.g., 10 cycles per round). Scale is measured at characteristic nodes (e.g., after the 1st, 5th, 10th, and 20th rounds) to capture nonlinear accumulation, i.e., the initial deposition is faster (due to surface cleanliness), and may slow down in the later stages (due to the insulating effect of the scale layer), or be affected by local factors (e.g., rough internal surface of the steam generator, dead corners of water flow, etc.).

[0089] This invention provides a method to clean the steam generator, ensuring it is initially free of scale and to calibrate the TDS sensor. Taking a steam oven as an example, during cooking, a single test is performed by injecting water with a specified TDS level and running the cooking program (e.g., 150ppm × 30 minutes). After completion, the water is drained. A cumulative test is then performed by repeating the cooking process (with the same TDS and time). After five cooking cycles, the steam generator is disassembled. After disassembling the steam generator, scale is collected with a soft brush (focusing on the heated wall surface), dried in a 105℃ oven for 2 hours, and weighed using a balance (dry weight, in g). This yields a series of experimental data [(TDS, time), (TDS, time)...(TDS, time), dry weight of scale]. The second product calculated from multiple runs corresponding to each combination of operating parameters can be accumulated to obtain the cumulative mineral input value corresponding to each combination of operating parameters. Finally, the cumulative mineral input value and the measured scale value [C, S] corresponding to each combination of operating parameters are used as training data for each set.

[0090] This invention solves the problems of single operating conditions and strong data randomness in traditional data acquisition by setting multi-dimensional parameters, combining and generating operating conditions, performing multiple loop verifications, and quantifying and calculating cumulative values. It provides high-quality and highly reliable training data for subsequent quadratic function polynomial model fitting, ensuring that the model can accurately reflect the true relationship between the cumulative mineral input value and the measured scale value.

[0091] Step S304: When the current scale level exceeds the preset scale threshold, a descaling reminder is triggered. For details, please refer to [link to relevant documentation]. Figure 2 Step S203 of the illustrated embodiment will not be described again here.

[0092] In specific embodiments, such as Figure 4 As shown, taking a steam oven as an example, after cooking begins, the collected TDS value and runtime are read. After cooking ends, the product of the average TDS and runtime is calculated and added to the historical cumulative mineral input value to obtain the latest cumulative mineral input value. Based on a quadratic function polynomial model of the preset cumulative mineral input value and scale value, the current scale value is calculated. The current scale value is then compared with the preset scale threshold. When the current scale value is greater than the preset scale threshold, a descaling reminder can be triggered through the display screen. After descaling, the user can reset the accumulated value by pressing the reset button. For details, please refer to the above embodiment, which will not be repeated here.

[0093] This embodiment also provides an electrical device, such as Figure 5As shown, the electrical device includes a water inlet tank 51 and a controller 52. The controller 52 includes a memory and a processor. The memory and the processor are interconnected. The memory stores computer instructions. The processor executes the computer instructions to perform the scale detection method. For details, please refer to the above embodiment, which will not be repeated here.

[0094] Specifically, the aforementioned electrical appliance is a steam oven, which achieves the technical effect of predicting the degree of scale accumulation by experimentally testing the water quality (TDS value) of the water inlet tank and the cooking time, combined with a nonlinear quadratic function polynomial model, and automatically reminding the user to remove scale when the preset scale threshold is reached.

[0095] This embodiment also provides a scale detection device, which is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0096] This embodiment provides a scale detection device, such as Figure 6 As shown, the system includes: a data acquisition module 601, used to acquire the running time of the current electrical equipment and the total dissolved solids content of the water effluent from the inlet tank; a mineral value calculation module 602, used to calculate the latest cumulative mineral input value based on the currently recorded cumulative mineral input value, running time, and total dissolved solids content; a scale value calculation module 603, used to determine the current scale value based on a preset mathematical model between the cumulative mineral input value and the scale value, and the latest cumulative mineral input value; and a descaling reminder module 604, used to trigger a descaling reminder operation when the current scale value is greater than a preset scale threshold. The mathematical model between the cumulative mineral input value and the scale value is a quadratic function polynomial model about the cumulative mineral input value. The scale value calculation module 603 includes a scale value prediction unit, used to input the latest cumulative mineral input value into the quadratic function polynomial model about the cumulative mineral input value to obtain the current scale value.

[0097] In some optional implementations, the mineral value calculation module 602 includes: a product calculation unit for multiplying the running time and the total dissolved solids content value to obtain a first mineral product; and a mineral value accumulation unit for adding the first mineral product to the currently recorded cumulative mineral input value to obtain the latest cumulative mineral input value.

[0098] In some optional implementations, the quadratic polynomial model of the cumulative mineral input value is obtained through the following steps: acquiring multiple sets of training data, wherein each set of training data includes each cumulative mineral input value and the corresponding measured scale value; constructing a quadratic polynomial model with the cumulative mineral input value as the independent variable and the measured scale value as the dependent variable; and performing least squares fitting on the quadratic polynomial model using the multiple sets of training data to obtain the quadratic polynomial model of the cumulative mineral input value.

[0099] In some optional implementations, multiple sets of training data are obtained through the following steps: setting multiple different total dissolved solids (TDS) values ​​for the water effluent from the inlet tank; setting multiple different running durations; combining different TDS values ​​and different running durations to obtain multiple operating parameter combinations; performing multiple running cycles for each operating parameter combination; and after performing a predetermined number of running cycles, measuring the scale value inside the electrical equipment to obtain the measured scale value corresponding to each operating parameter combination; multiplying the TDS value of the water effluent from the inlet tank in each running process by the cooking time to obtain the second product corresponding to each running process; summing the second products calculated from multiple running processes corresponding to each operating parameter combination to obtain the cumulative mineral input value corresponding to each operating parameter combination; and using the cumulative mineral input value and the measured scale value corresponding to each operating parameter combination as a set of training data.

[0100] In some alternative implementations, the scale detection device further includes a data clearing module for clearing the currently recorded cumulative mineral input value in response to the user performing a descaling operation.

[0101] In some optional embodiments, the scale detection device further includes a user prompt module, used to send a prompt message to the user that the water hardness does not meet the usage requirements when the total dissolved solids content of the water effluent from the inlet tank is detected to be greater than a preset content threshold.

[0102] Further functional descriptions of the above modules and units are the same as those in the corresponding embodiments described above, and will not be repeated here.

[0103] In this embodiment, the scale detection device is presented in the form of a functional unit. Here, a unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0104] This invention also provides a controller 52 for an electrical device, having the above-described features. Figure 6 The scale detection device shown.

[0105] Please see Figure 7 , Figure 7 This is a schematic diagram of the structure of a controller provided in an optional embodiment of the present invention, such as... Figure 7 As shown, the controller includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise as required. The processors can process instructions executed within the controller, including instructions stored in or on memory to display graphical information of a GUI on external input / output devices (such as display devices coupled to the interfaces). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple controllers can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 7 Take a processor 10 as an example.

[0106] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GDA), or any combination thereof.

[0107] The memory 20 stores instructions executable by at least one processor 10 to cause at least one processor 10 to perform the method shown in the above embodiments.

[0108] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the controller. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, and these remote memories may be connected to the controller via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0109] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0110] The controller also includes an input device 30 and an output device 40. The processor 10, memory 20, input device 30, and output device 40 can be connected via a bus or other means. Figure 7 Taking the example of a connection between China and Israel via a bus.

[0111] Input device 30 can receive input numerical or character information, and generate key signal inputs related to user settings and function control of the controller, such as a touch screen, keypad, mouse, trackpad, touchpad, joystick, one or more mouse buttons, trackball, joystick, etc. Output device 40 may include display devices, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibration motors). The aforementioned display devices include, but are not limited to, liquid crystal displays, light-emitting diodes, displays, and plasma displays. In some alternative embodiments, the display device may be a touch screen.

[0112] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code, which, when accessed and executed by the computer, processor, or hardware, implements the methods shown in the above embodiments.

[0113] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0114] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for detecting scale, characterized in that, Applied to electrical equipment, the electrical equipment including a water inlet tank, the method includes: Obtain the running time of the current electrical equipment and the total dissolved solids content of the water effluent from the inlet tank; The latest cumulative mineral input value is calculated based on the currently recorded cumulative mineral input value, the runtime, and the total dissolved solids content value. This calculation includes: multiplying the runtime and the total dissolved solids content value to obtain a first mineral product; and adding the first mineral product to the currently recorded cumulative mineral input value to obtain the latest cumulative mineral input value. The current scale value is determined based on the mathematical model between the preset cumulative mineral input value and the scale value, and the latest cumulative mineral input value. The mathematical model between the cumulative mineral input value and the scale value is a quadratic function polynomial model with respect to the cumulative mineral input value. Determining the current scale value based on the preset mathematical model between the cumulative mineral input value and the scale value, and the latest cumulative mineral input value, includes: The latest cumulative mineral input value is input into the quadratic function polynomial model of the cumulative mineral input value to obtain the current scale value; When the current scale level exceeds a preset scale threshold, a descaling reminder is triggered.

2. The method according to claim 1, characterized in that, The quadratic function polynomial model for the cumulative mineral input values ​​is obtained through the following steps: Acquire multiple sets of training data, where each set of training data includes each cumulative mineral input value and the corresponding measured scale value; A quadratic function polynomial model is constructed using the cumulative mineral input value as the independent variable and the measured scale value as the dependent variable. Using the multiple sets of training data, the quadratic function polynomial model is fitted with least squares to obtain a quadratic function polynomial model for the cumulative mineral input value.

3. The method according to claim 2, characterized in that, The multiple sets of training data were obtained through the following steps: Set multiple different total dissolved solids content values ​​for the effluent from the inlet tank; Set multiple different runtimes; By combining different total dissolved solids content values ​​and different running lengths, multiple operating parameter combinations are obtained. Multiple operating cycles are performed for each operating parameter combination. After performing a predetermined number of operating cycles, the scale value inside the electrical equipment is measured to obtain the measured scale value corresponding to each operating parameter combination. Multiply the total dissolved solids content of the water effluent from the inlet tank for each operation by the running time to obtain the second product for each operation. The second product obtained from multiple runs corresponding to each combination of operating parameters is accumulated to obtain the cumulative mineral input value corresponding to each combination of operating parameters. The cumulative mineral input value and measured scale value corresponding to each combination of operating parameters are used as a set of training data.

4. The method according to claim 1, characterized in that, The method further includes: In response to the user performing a descaling operation, the currently recorded cumulative mineral input value will be cleared to zero.

5. The method according to claim 1, characterized in that, The method further includes: When the total dissolved solids content of the water effluent from the inlet tank is detected to be greater than the preset threshold, a prompt message is sent to the user indicating that the water hardness does not meet the usage requirements.

6. A scale detection device, characterized in that, Applied to electrical equipment, the electrical equipment including a water inlet tank, the device includes: The data acquisition module is used to acquire the running time of the current electrical equipment and the total dissolved solids content of the water effluent from the inlet tank; The mineral value calculation module is used to calculate the latest cumulative mineral input value based on the currently recorded cumulative mineral input value, the runtime, and the total dissolved solids content value. The calculation of the latest cumulative mineral input value based on the currently recorded cumulative mineral input value, the runtime, and the total dissolved solids content value includes: multiplying the runtime and the total dissolved solids content value to obtain a first mineral product; and adding the first mineral product to the currently recorded cumulative mineral input value to obtain the latest cumulative mineral input value. The scale value calculation module is used to determine the current scale value based on a preset mathematical model between the cumulative mineral input value and the scale value, and the latest cumulative mineral input value. The mathematical model between the cumulative mineral input value and the scale value is a quadratic function polynomial model with respect to the cumulative mineral input value. The scale value calculation module includes: The scale value prediction unit is used to input the latest cumulative mineral input value into the quadratic function polynomial model about the cumulative mineral input value to obtain the current scale value. The descaling reminder module is used to trigger a descaling reminder operation when the current scale value is greater than a preset scale threshold.

7. An electrical appliance, characterized in that, The electrical device includes: a water inlet tank and a controller, the controller including a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to perform the scale detection method according to any one of claims 1 to 5.

8. The electrical equipment according to claim 7, characterized in that, The electrical appliance is a steam oven.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to perform the scale detection method according to any one of claims 1 to 5.

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