Disinfection cabinet disinfection control method and device and storage medium

Abstract

The embodiment of the invention discloses a disinfection cabinet disinfection control method and device and a storage medium. The method comprises the following steps: acquiring a preset model indicating a temperature change trend and a humidity change trend; determining a time point as current time; performing predictive analysis on the temperature change trend and the humidity change trend at the current time based on a preset model to obtain the current predictive temperature and the current predictive humidity; performing strategy analysis based on the current predicted temperature and the current predicted humidity, and generating a current control strategy for controlling a high-temperature module of the disinfection cabinet and a microwave module of the disinfection cabinet; and performing disinfection control based on the current control strategy. According to the disinfection control method of the disinfection cabinet, the compactness between a control strategy and environmental conditions can be improved, the flexibility of disinfection control is enhanced, the high-temperature module and the microwave module are controlled respectively, different modules of the disinfection cabinet are matched with one another, the disinfection effect is guaranteed, meanwhile, energy can be saved, and the energy utilization effectiveness of the disinfection cabinet is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of disinfection cabinets, and particularly to a disinfection control method, device and storage medium for a disinfection cabinet. Background Art

[0002] Currently, the common disinfection methods for disinfection cabinets include ultraviolet disinfection, high-temperature steam disinfection, ozone disinfection, etc. Traditional disinfection cabinets usually use high-temperature methods for disinfection, which usually have a long working time and a large power, resulting in high energy consumption of the disinfection cabinet; moreover, the temperature change cannot be adjusted according to the specific situation of the environment, and the disinfection method is single. Due to the different conditions of the items to be disinfected placed in it, such as different humidities, the environmental conditions of the disinfection cabinet are different, and the existing disinfection cabinets cannot perform disinfection control according to the needs of different environmental conditions.

[0003] Therefore, there is an urgent need for a method that can control the disinfection cabinet according to the needs of different environmental conditions. Summary of the Invention

[0004] The technical problem to be solved by this application is that the disinfection cabinet cannot be controlled according to the needs of different environmental conditions. To solve this technical problem, the technical solutions provided by this application are as follows:

[0005] On the one hand, this application provides a disinfection control method for a disinfection cabinet, and the method includes:

[0006] Obtain a preset model indicating the temperature change trend and the humidity change trend;

[0007] Determine a time point as the current time;

[0008] Based on the preset model, perform predictive analysis on the temperature change trend and the humidity change trend at the current time to obtain the current predicted temperature and the current predicted humidity;

[0009] Based on the current predicted temperature and the current predicted humidity, perform strategy analysis to generate the current control strategies for controlling the high-temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet;

[0010] Perform disinfection control based on the current control strategy.

[0011] In some possible implementation manners, before performing strategy analysis based on the current predicted temperature and the current predicted humidity, the method further includes:

[0012] Obtain a temperature threshold, a first humidity threshold, and a second humidity threshold; the first humidity threshold is greater than the second humidity threshold;

[0013] According to the temperature threshold, perform positive-order temperature interval division to obtain a first temperature interval and a second temperature interval;

[0014] Perform a forward humidity range division according to the first humidity threshold and the second humidity threshold to obtain a first humidity range, a second humidity range, and a third humidity range.

[0015] In some possible implementation manners, the generating of the current control strategy for controlling the high-temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet based on the current predicted temperature and the current predicted humidity includes:

[0016] Respectively perform interval judgment on the current predicted temperature and the current predicted humidity to obtain an interval judgment result;

[0017] Perform strategy analysis based on the interval judgment result to generate the current control strategy for controlling the high-temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet.

[0018] In some possible implementation manners, the generating of the current control strategy for controlling the high-temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet based on the interval judgment result includes:

[0019] In the case where the interval judgment result is that the current predicted temperature belongs to the second temperature range and the current predicted humidity belongs to the first humidity range or the second humidity range, generate a current control strategy of reducing the microwave power and maintaining the current temperature.

[0020] In some possible implementation manners, the generating of the current control strategy for controlling the high-temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet based on the interval judgment result includes:

[0021] In the case where the interval judgment result is that the current predicted temperature belongs to the second temperature range and the current predicted humidity belongs to the third humidity range, generate a current control strategy of reducing the microwave power and increasing the current temperature.

[0022] In some possible implementation manners, the generating of the current control strategy for controlling the high-temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet based on the interval judgment result includes:

[0023] In the case where the interval judgment result is that the current predicted temperature belongs to the first temperature range and the current predicted humidity belongs to the third humidity range, generate a current control strategy of increasing the microwave power and increasing the current temperature.

[0024] In some possible implementation manners, the generating of the current control strategy for controlling the high-temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet based on the interval judgment result includes:

[0025] When the determination result in the interval is that the current predicted temperature belongs to the first temperature interval, and the current predicted humidity belongs to the first humidity interval or the second humidity interval, a current control strategy of increasing the microwave power and maintaining the current temperature is generated.

[0026] In some possible implementation manners, the method further includes:

[0027] Obtaining historical disinfection information of a historical disinfection process;

[0028] Extracting historical temperature data, historical humidity data, and historical microwave power data from the historical disinfection information according to a time series to obtain historical data;

[0029] Performing data stationarity processing on the historical data to obtain data to be processed;

[0030] Training the data to be processed to obtain a preset model indicating the temperature change trend and the humidity change trend.

[0031] On the other hand, the present application further provides a disinfection control device for a disinfection cabinet. The device includes:

[0032] A model acquisition module, configured to acquire a preset model indicating the temperature change trend and the humidity change trend;

[0033] A time determination module, configured to determine a time point as the current time;

[0034] A prediction analysis module, configured to perform prediction analysis on the temperature change trend and the humidity change trend at the current time based on the preset model to obtain a current predicted temperature and a current predicted humidity;

[0035] A control strategy generation module, configured to perform strategy analysis based on the current predicted temperature and the current predicted humidity, and generate a current control strategy for controlling a high-temperature module of the disinfection cabinet and a current control strategy for controlling a microwave module of the disinfection cabinet;

[0036] A control strategy execution module, configured to perform disinfection control based on the current control strategy.

[0037] On the other hand, the present application further provides a computer-readable storage medium. At least one instruction or at least one segment of program is stored in the storage medium, and the at least one instruction or at least one segment of program is loaded and executed by a processor to implement the method as described above.

[0038] Adopting the above technical solution, the disinfection control method for a disinfection cabinet provided by the present application has the following beneficial effects:

[0039] In an embodiment of the present invention, a trained preset model is used to predict the humidity and temperature conditions of a disinfection cabinet at a certain moment, and an appropriate control strategy is generated based on the prediction result, so as to improve the tightness between the control strategy and the environmental conditions, respectively control the high-temperature module and the microwave module, enable different modules of the disinfection cabinet to cooperate with each other, save energy while ensuring the disinfection effect, and enhance the energy utilization efficiency of the disinfection cabinet. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0041] Figure 1 It is a flowchart of a disinfection control method for a disinfection cabinet according to an embodiment of the present invention.

[0042] Figure 2 It is a schematic diagram of humidity range division according to an embodiment of the present invention.

[0043] Figure 3 It is a schematic diagram of temperature range division according to an embodiment of the present invention.

[0044] Figure 4 It is a block diagram of a disinfection control device for a disinfection cabinet according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0045] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the scope of protection of the present application.

[0046] As used herein, "one embodiment" or "an embodiment" refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present application. In the description of the present application, it should be understood that the orientation or positional relationship indicated by terms such as "upper", "lower", "top", "bottom", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation of the present application. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of such features. Moreover, terms such as "first" and "second" are used to distinguish similar objects and do not necessarily have to be used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein.

[0047] Traditional disinfection cabinets generally use high-temperature disinfection, which takes a long time, consumes a lot of energy, and cannot adapt to the changing internal environmental conditions of the disinfection cabinet, making it inconvenient to use and unable to meet the requirements of energy conservation and environmental protection.

[0048] Therefore, the present application provides a disinfection control method, device, and storage medium for a disinfection cabinet, which can solve the above technical problems.

[0049] Please refer to Figure 1 , as Figure 1 shown, the present application provides a disinfection control method for a disinfection cabinet, and the method includes:

[0050] S103: Obtain a preset model indicating the temperature change trend and the humidity change trend;

[0051] Optionally, the preset model is obtained through deep learning and training based on the historical disinfection data of the disinfection cabinet, and the preset model can predict the temperature and humidity conditions at different times.

[0052] S105: Determine a time point as the current time;

[0053] Furthermore, the prediction of the temperature and humidity conditions is related to time. Therefore, it is necessary to determine the current time and then use the preset model to predict the temperature and humidity conditions at the current time.

[0054] S107: Based on the preset model, perform a predictive analysis on the temperature change trend and the humidity change trend at the current time to obtain the current predicted temperature and the current predicted humidity;

[0055] Optionally, the current predicted temperature is the temperature inside the disinfection cabinet predicted by a preset model for the current moment, and the current predicted humidity is the humidity inside the disinfection cabinet predicted by the preset model for the current moment.

[0056] S109: Perform policy analysis based on the current predicted temperature and the current predicted humidity to generate a current control policy for controlling the high-temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet;

[0057] It should be noted that in addition to predicting temperature and humidity, the preset model can also generate corresponding control policies according to the predicted temperature and humidity. Optionally, the environmental conditions of the disinfection cabinet include internal temperature, internal humidity, etc. When the current predicted temperature and the current predicted humidity are determined, the environmental conditions of the disinfection cabinet are determined, and based on this environmental condition, the preset model generates the current control policy.

[0058] Furthermore, the disinfection function module of the disinfection cabinet includes a high-temperature module and a microwave module, and the disinfection process is realized by controlling the high-temperature module and the microwave module respectively. The current control policy is a control policy generated by the preset model based on the current predicted temperature and the current predicted humidity for controlling the high-temperature module and the microwave module of the disinfection cabinet.

[0059] S111: Perform disinfection control based on the current control policy.

[0060] Furthermore, based on the policy content of the current control policy, corresponding instructions are respectively sent to the high-temperature module and the microwave module, so that the high-temperature module and the microwave module respond to the corresponding instructions and make corresponding adjustments. Exemplarily, the corresponding instructions can be to increase the temperature, maintain the temperature, reduce the microwave power, increase the microwave power, etc.

[0061] The embodiment of the present invention uses a trained preset model to predict the humidity and temperature conditions of the disinfection cabinet at a certain moment, generates an appropriate control policy based on the prediction results, improves the tightness between the control policy and the environmental conditions, controls the high-temperature module and the microwave module respectively, enables different modules of the disinfection cabinet to cooperate with each other, saves energy while ensuring the disinfection effect, and enhances the energy utilization efficiency of the disinfection cabinet.

[0062] In some possible embodiments, before performing policy analysis based on the current predicted temperature and the current predicted humidity, the method further includes:

[0063] Obtain a temperature threshold, a first humidity threshold, and a second humidity threshold; the first humidity threshold is greater than the second humidity threshold;

[0064] Optionally, the first humidity threshold, the second humidity threshold, and the temperature threshold are all selected values, which can be obtained based on deep learning or set as needed. The first humidity threshold is the maximum value in the lower humidity value set, and the second humidity threshold is the minimum value in the higher humidity value set.

[0065] Divide the temperature interval into positive sequence according to the temperature threshold to obtain a first temperature interval and a second temperature interval;

[0066] See also Figure 2 ,like Figure 2 As shown, the temperature threshold T 1 The temperature range is divided into two intervals. The first temperature interval is when the temperature is less than the temperature threshold T 1 The second temperature interval is when the temperature is greater than the temperature threshold T 1 Any temperature value T belongs to any of the two temperature intervals.

[0067] The humidity intervals are divided into positive order according to the first humidity threshold and the second humidity threshold to obtain a first humidity interval, a second humidity interval and a third humidity interval.

[0068] Optionally, the first humidity threshold and the second humidity threshold are used to divide the humidity interval and serve as interval boundary values ​​of different humidity intervals respectively.

[0069] See also Figure 3 ,like Figure 3 As shown, the first humidity threshold A 1 , the second humidity threshold A 2 The humidity range is divided into three intervals. The positive order refers to the order of humidity from small to large. The first humidity interval is the humidity less than A. 1 The second humidity interval is [A 1 ,A 2 ], the third humidity interval is when the humidity is greater than A 2 Any humidity value A belongs to any of the three humidity intervals.

[0070] The embodiment of the present invention divides the humidity intervals and temperature intervals, assigns the current predicted temperature and the current predicted humidity to corresponding intervals, and generates an appropriate disinfection control strategy according to the conditions of the humidity intervals and temperature intervals, so that the disinfection control strategy is closely related to the internal environmental conditions of the disinfection cabinet, thereby enhancing the flexibility and environmental adaptability of adjusting the disinfection control strategy.

[0071] In some possible embodiments, the strategy analysis based on the current predicted temperature and the current predicted humidity is performed to generate a current control strategy for controlling a high temperature module of the disinfection cabinet and a current control strategy for controlling a microwave module of the disinfection cabinet, including:

[0072] Perform interval judgment on the current predicted temperature and the current predicted humidity respectively to obtain an interval judgment result;

[0073] Optionally, compare the current predicted temperature with a temperature threshold to determine the interval judgment result of whether the current predicted temperature belongs to the first temperature interval or the second temperature interval. The interval judgment result can represent the degree of temperature high or low. The first temperature interval indicates that the current predicted temperature is relatively low, and the second temperature interval indicates that the current predicted temperature is relatively high.

[0074] Furthermore, search for the current predicted humidity within the humidity range to judge the humidity interval to which the current predicted humidity belongs. Similarly, the interval judgment result can represent the degree of humidity high or low. The first humidity interval indicates that the current predicted humidity is relatively low, the second humidity interval indicates that the current predicted humidity is moderate, and the third humidity interval indicates that the current predicted humidity is relatively high.

[0075] Based on the interval judgment result, perform strategy analysis to generate the current control strategies for controlling the high-temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet.

[0076] Optionally, the current control strategy refers to the strategy applied to disinfection control obtained according to the humidity change trend and temperature change trend at the current moment. The current control strategy includes the strategy for controlling the temperature module and the strategy for controlling the microwave module.

[0077] Furthermore, in the scenario of generating the current control strategy, the interval judgment result is a general concept, including the interval judgment result of the current predicted temperature and the interval judgment result of the current predicted humidity. That is to say, only by performing strategy analysis based on the interval judgment result of the current predicted temperature and the interval judgment result of the current predicted humidity simultaneously can the current control strategy be generated.

[0078] In the embodiment of the present invention, by setting a temperature threshold, a first humidity threshold, and a second humidity threshold, different humidity intervals and temperature intervals are divided. According to the humidity interval and temperature interval to which the predicted current predicted temperature and current predicted humidity belong, specific control strategies are generated, improving the intelligent degree of disinfection control, and being able to reasonably arrange the adjustment ranges of the microwave power module and the high-temperature module respectively, improving the module cooperation degree and utilization rate.

[0079] The inventive concept of the technical solution of the present invention is to achieve a good disinfection effect and save energy consumption through the cooperation of the microwave module and the high-temperature module. The cooperation principle of the microwave module and the high-temperature module is described as follows:

[0080] The adjustment of microwave power directly affects the rate of temperature change. When the currently predicted temperature is relatively low, increasing the microwave power can accelerate the rate of temperature rise and quickly reach the required high-temperature sterilization temperature. When a relatively high temperature is reached, sterilization is mainly carried out through high temperature, and the microwave power is mainly used to maintain the high temperature. Therefore, it is not necessary to maintain the original microwave power, but the microwave power can be reduced, thus saving energy consumption.

[0081] The adjustment of the high-temperature sterilization temperature affects the disinfection effect and energy consumption. When the predicted temperature is relatively low and the humidity is relatively high, increasing the high-temperature sterilization temperature can ensure the disinfection effect, avoid disinfection failure caused by insufficient temperature, reduce the number of repeated disinfections, and reduce energy consumption. When the predicted temperature inside the disinfection cabinet is relatively high and the humidity is relatively low, it is only necessary to maintain the current temperature. Therefore, the temperature of the high-temperature module can be appropriately reduced, thus saving energy consumption.

[0082] By dynamically adjusting the working time and power of the microwave module and the high-temperature module and performing intelligent control according to the current environmental conditions, energy consumption can be effectively reduced. Especially when the temperature is relatively low or the humidity is relatively high, with the assistance of the microwave module, energy consumption can be significantly reduced.

[0083] In some possible embodiments, the generating of the current control strategy for controlling the high-temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet based on the interval judgment result includes:

[0084] When the interval judgment result is that the current predicted temperature belongs to the second temperature interval and the current predicted humidity belongs to the first humidity interval or the second humidity interval, a current control strategy of reducing the microwave power and maintaining the current temperature is generated.

[0085] Furthermore, if the above interval judgment result corresponds to the situation where the current predicted temperature is relatively high and the current predicted humidity is relatively low or moderate, there is no need to continue heating up, and only the current temperature needs to be maintained. Preferably, when the current predicted humidity belongs to the first humidity interval, that is, the current predicted humidity is relatively low, the heating power of the high-temperature module can be appropriately reduced, and the microwave power can be reduced.

[0086] In some possible embodiments, the generating of the current control strategy for controlling the high-temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet based on the interval judgment result includes:

[0087] When the interval judgment result is that the current predicted temperature belongs to the second temperature interval and the current predicted humidity belongs to the third humidity interval, a current control strategy of reducing the microwave power and increasing the current temperature is generated.

[0088] Further, the above interval judgment result corresponds to the situation where the current predicted temperature is relatively high and the current predicted humidity is relatively high. To reduce the humidity, the temperature needs to be further increased. Therefore, the high-temperature module is controlled to increase the heating power to raise the temperature. Since the increase in temperature can accelerate the sterilization speed, the microwave power only needs to maintain the current temperature. Therefore, the microwave module is controlled to reduce the microwave power.

[0089] In some possible embodiments, the generating of the current control strategies for controlling the high-temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet based on the interval judgment result includes:

[0090] When the interval judgment result is that the current predicted temperature belongs to the first temperature interval and the current predicted humidity belongs to the third humidity interval, a current control strategy of increasing the microwave power and raising the current temperature is generated.

[0091] Further, the above interval judgment result corresponds to the situation where the current predicted temperature is relatively low and the current predicted humidity is relatively high. To reduce the humidity, the temperature needs to be increased. Since increasing the microwave power can increase the speed of temperature rise and thus quickly sterilize, it is necessary to control the high-temperature module to increase the heating power to raise the temperature, and at the same time control the microwave module to increase the microwave power.

[0092] In some possible embodiments, the generating of the current control strategies for controlling the high-temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet based on the interval judgment result includes:

[0093] When the interval judgment result is that the current predicted temperature belongs to the first temperature interval and the current predicted humidity belongs to the first humidity interval or the second humidity interval, a current control strategy of increasing the microwave power and maintaining the current temperature is generated.

[0094] Further, the above interval judgment result corresponds to the situation where the current predicted temperature is relatively low and the current predicted humidity is relatively low or moderate. Since the humidity is not high, the temperature required for sterilization is not high. By only increasing the microwave power, the temperature can be raised to a suitable temperature for sterilization without additionally controlling the high-temperature module to increase the temperature, which can save energy. Therefore, it is necessary to control the high-temperature module to maintain the current heating power to maintain the current temperature, and at the same time control the microwave module to increase the microwave power.

[0095] In the embodiments of the present invention, by judging the results according to different intervals and performing strategy analysis, different current control strategies are generated, which improves the cooperation degree between the microwave module and the high-temperature module, enables the two modules to be the main and auxiliary to each other in different scenarios, and reasonably utilizes the functions of each module. For example, when the current predicted temperature is in the second temperature interval and the current predicted humidity is in the first humidity interval, the heating power of the high-temperature module is appropriately reduced to reduce energy consumption. Combining the two sterilization methods of microwave and high temperature can sterilize more comprehensively, improve the disinfection effect, can not only quickly raise the temperature for sterilization, shorten the sterilization process, improve the disinfection efficiency, but also avoid energy waste.

[0096] To demonstrate the beneficial effects brought by the disinfection control method of the disinfection cabinet provided by the technical solution of the present invention, the following provides experimental data for illustration. For the high-temperature module with a power of 1200W and the microwave module with a power of 800W. Assuming the working time is 1h, in the disinfection control of the disinfection cabinet, there are 5 combinations of the current predicted humidity and the current predicted temperature, and each accounts for 12 minutes. The energy consumption calculation process is shown in Table 1.

[0097] Among them, a relatively low temperature and a relatively high humidity correspond to the situation where the current predicted temperature is in the first temperature interval and the current predicted humidity is in the third humidity interval. A relatively low temperature but a moderate humidity corresponds to the situation where the current predicted temperature is in the first temperature interval and the current predicted humidity is in the second humidity interval. A relatively low temperature and a relatively low humidity correspond to the situation where the current predicted temperature is in the first temperature interval and the current predicted humidity is in the first humidity interval. A relatively high temperature and a relatively high humidity correspond to the situation where the current predicted temperature is in the second temperature interval and the current predicted humidity is in the third humidity interval. A relatively high temperature but a moderate humidity corresponds to the situation where the current predicted temperature is in the second temperature interval and the current predicted humidity is in the second humidity interval.

[0098]

[0099]

[0100] Table 1 Disinfection Cabinet Energy Consumption Calculation Table

[0101] The energy consumption obtained by applying the disinfection control method of the disinfection cabinet provided by the technical solution of the present invention is: 640w / h, while the energy consumption of pure high-temperature disinfection is 1200×1 = 1200 watt-hours. In summary, the energy consumption of the disinfection cabinet control method provided by the technical solution of the present invention is significantly lower than that of the traditional high-temperature disinfection cabinet, and has obvious energy-saving effects.

[0102] In some possible embodiments, the method further includes:

[0103] Obtaining historical disinfection information of the historical disinfection process;

[0104] Optionally, the historical disinfection information includes historical temperature, historical humidity, historical microwave power, etc. Exemplarily, through three sensors, namely temperature sensor T, humidity sensor H, and microwave power sensor P, data is collected every preset time. The preset time is the period for data collection, such as 10 seconds, and the following data is obtained:

[0105] Temperature data: T(t),

[0106] Humidity data: H(t),

[0107] Microwave power data: P(t), where t represents time.

[0108] The temperature data T(t) is affected by the external environment and the disinfection process. Its change rate is related to the current temperature, humidity, and microwave power, and can be expressed as:

[0109]

[0110] The humidity data H(t) is affected by the external environment and the disinfection process. Its change rate is related to the current temperature, humidity, and microwave power, and can be expressed as:

[0111]

[0112] The microwave power data P(t) is controlled by the microwave generator inside the disinfection cabinet. Assuming that the microwave power remains stable and is not affected by the external environment and other factors, its change rate is zero and can be expressed as:

[0113]

[0114] Among them, f and g are unknown functions representing the change laws of temperature and humidity, which need to be determined through data analysis and model fitting.

[0115] Extract historical temperature data, historical humidity data, and historical microwave power data from the historical disinfection information according to the time series to obtain historical data;

[0116] Perform data stationarity processing on the historical data to obtain the data to be processed;

[0117] Optionally, the stationarity processing includes steps such as removing outliers, denoising, and normalization. The following are the stationarity processing steps for temperature T(t) and humidity H(t) data.

[0118] Exemplarily, outliers are removed through a moving average filter. For temperature data T(t) and humidity data H(t), the moving average value MA(t) is calculated using the following formula:

[0119]

[0120] Among them, n is the moving average window size, indicating that we use the average value of the past n data points as the estimate of the current data point. If the difference between the value of T(t) or H(t) and the moving average exceeds a certain threshold, then this data point is considered an outlier and needs to be processed.

[0121] Furthermore, after removing the outliers, a smoothing filter is used to further remove the noise:

[0122] T smooth (t) = α·T(t) + (1 - α)·T smooth (t - 1)

[0123] H smooth (t) = α·H(t) + (1 - α)·H smooth (t - 1)

[0124] Among them, α is the smoothing coefficient, which controls the degree of smoothing. Optionally, the value of α ranges from 0.1 to 0.3.

[0125] Furthermore, the processed data is normalized to scale the data to the range of 0 to 1 for subsequent processing and model training. The normalization formula is as follows:

[0126]

[0127] Among them, T mib and T nax are the minimum and maximum values of the temperature data respectively, and H max and H min are the minimum and maximum values of the humidity data respectively.

[0128] The data to be processed is trained to obtain a preset model indicating the temperature change trend and the humidity change trend.

[0129] Optionally, since the LSTM model is suitable for processing time series data and can capture long-term dependencies in the data, and during the disinfection process, the changes in temperature and humidity have temporal correlations, so the LSTM model can be selected. The following is based on the time series data of temperature and humidity during the disinfection process for training.

[0130] Furthermore, the goal of the LSTM model is to predict the temperature change trend and the humidity change trend based on the current moment, which is reflected in predicting the temperature T(t + 1) and the humidity H(t + 1) at the next moment.

[0131] Therefore, for each time step t, the training samples should include:

[0132] Input sequence:

[0133] [T(t-L), T(t-L+1),..., T(t-1), H(t-L), H(t-L+1),..., H(t-1), P(t

[0134] -L), P(t-L+1),..., P(t-1)]

[0135] Output sequence:

[0136] [T(t), H(t)]

[0137] Where L is the number of historical time steps considered by the LSTM model, also known as the time window size. By adjusting the time window size L, the model can be controlled to observe data within a certain time range for prediction.

[0138] In practical applications, training samples for multiple time windows can be extracted from the data of the historical disinfection process to construct a training set and a validation set, and then used to train the LSTM model.

[0139] Optionally, the length of the training data can be 2 minutes, fully considering the change trend of temperature and humidity while avoiding overly sparse data.

[0140] It should be noted that determining the quantity of training data needs to consider factors such as the complexity of the model, the diversity of the data, and the convergence speed of the training algorithm. Generally speaking, the larger the quantity of training data, the better the generalization ability of the model may be, but at the same time, it will increase the training time and computational cost. Preferably, thousands to tens of thousands of time series data samples can be collected, and then it can be evaluated whether more data is needed according to the performance and prediction effect of the model.

[0141] The following are the parameter selections of the LSTM model:

[0142] Batch size (BatchSize): The batch size affects the update frequency of the model parameters. Usually, common batch sizes such as 32, 64, or 128 can be selected. A larger batch size can accelerate the training process but may occupy more memory. In the embodiments of this specification, batchsize is 32.

[0143] Number of layers of the LSTM model: The number of layers of the LSTM model determines the depth of the model. Optionally, 1 layer, 2 layers, or 3 layers, etc. can be selected. Exemplarily, in the embodiments of this specification, the number of layers is determined to be 2 layers.

[0144] Learning rate (LearningRate): The learning rate determines the step size of each parameter update. Usually, it can start from a relatively small value. In this article, the learning rate is 0.01, and then it is reduced to 0.5 times the original value every 10 epochs.

[0145] Optimizer: Common optimizers include Adam, SGD, etc. In the embodiments of this specification, the Adam optimizer is adopted because it combines momentum gradient descent and the RMSProp algorithm, having a relatively fast convergence speed and good generalization performance.

[0146] Loss Function: The mean squared error loss function is adopted in the embodiments of this specification.

[0147] Regularization: In the embodiments of this specification, dropout is added between network layers to reduce overfitting.

[0148] Optionally, the training process is as follows:

[0149] First, we calculate the first moment estimate according to the update rule of the Adam algorithm and the second moment estimate The process is as follows:

[0150]

[0151] where β 1 —— Decay rate of the first moment estimate,

[0152] —— Gradient of the loss function with respect to the model parameters

[0153] β 2 —— Decay rate of the second moment estimate,

[0154] is the first moment estimate after bias correction,

[0155] is the second moment estimate after bias correction.

[0156] Furthermore, the process of updating the model parameters and using the first moment estimate and and a fixed learning rate α is as follows:

[0157]

[0158] According to this formula, the temperature and humidity at the future time t + L are derived as follows:

[0159]

[0160] where α 1 is the learning rate, and ∈ is a very small constant to prevent the denominator from being zero.

[0161] In summary, the temperature and humidity relationship between the moment t+L and the moment t is obtained, considering the changes in the first-order moment estimation and the second-order moment estimation at each moment. According to the predicted temperature and humidity conditions at the moment t+L, the microwave module and the high-temperature module are controlled.

[0162] In the embodiment of the present invention, by using a deep learning algorithm to predict the temperature and humidity conditions at future moments, and adjusting the control strategies of the microwave module and the high-temperature module according to the prediction results, the disinfection process becomes more intelligent and adaptive, adapting to different environmental changes.

[0163] Please refer to Figure 4 , as Figure 4 shown. On the other hand, the present application also provides a disinfection control device for a disinfection cabinet, and the device includes:

[0164] A model acquisition module 203, configured to acquire a preset model indicating the temperature change trend and the humidity change trend;

[0165] A time determination module 205, configured to determine a time point as the current time;

[0166] A prediction and analysis module 207, configured to perform prediction and analysis on the temperature change trend and the humidity change trend at the current time based on the preset model, and obtain the current predicted temperature and the current predicted humidity;

[0167] A control strategy generation module 209, configured to perform strategy analysis based on the current predicted temperature and the current predicted humidity, and generate the current control strategies for controlling the high-temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet;

[0168] A control strategy execution module 211, configured to perform disinfection control based on the current control strategies.

[0169] In some possible embodiments, the device further includes:

[0170] A threshold acquisition module, configured to acquire a temperature threshold, a first humidity threshold, and a second humidity threshold; the first humidity threshold is greater than the second humidity threshold;

[0171] A temperature interval division module, configured to perform positive-order temperature interval division according to the temperature threshold, and obtain a first temperature interval and a second temperature interval;

[0172] A humidity interval division module, configured to perform positive-order humidity interval division according to the first humidity threshold and the second humidity threshold, and obtain a first humidity interval, a second humidity interval, and a third humidity interval.

[0173] In some embodiments, the control strategy generation module includes:

[0174] An interval judgment unit, configured to perform interval judgment on the current predicted temperature and the current predicted humidity respectively to obtain an interval judgment result;

[0175] A strategy analysis unit, configured to perform strategy analysis based on the interval judgment result to generate a current control strategy for controlling the high-temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet.

[0176] In some embodiments, the strategy analysis unit includes:

[0177] A first strategy generation subunit, configured to generate a current control strategy for reducing the microwave power and maintaining the current temperature when the interval judgment result is that the current predicted temperature belongs to a second temperature interval and the current predicted humidity belongs to a first humidity interval or a second humidity interval.

[0178] In some embodiments, the performing strategy analysis based on the interval judgment result to generate a current control strategy for controlling the high-temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet includes:

[0179] A second strategy generation subunit, configured to generate a current control strategy for reducing the microwave power and increasing the current temperature when the interval judgment result is that the current predicted temperature belongs to the second temperature interval and the current predicted humidity belongs to the third humidity interval.

[0180] In some embodiments, the performing strategy analysis based on the interval judgment result to generate a current control strategy for controlling the high-temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet includes:

[0181] A third strategy generation subunit, configured to generate a current control strategy for increasing the microwave power and increasing the current temperature when the interval judgment result is that the current predicted temperature belongs to the first temperature interval and the current predicted humidity belongs to the third humidity interval.

[0182] In some embodiments, the performing strategy analysis based on the interval judgment result to generate a current control strategy for controlling the high-temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet includes:

[0183] A fourth strategy generation subunit, configured to generate a current control strategy for increasing the microwave power and maintaining the current temperature when the interval judgment result is that the current predicted temperature belongs to the first temperature interval and the current predicted humidity belongs to the first humidity interval or the second humidity interval.

[0184] In some embodiments, the device further includes:

[0185] A historical disinfection information acquisition module, configured to acquire historical disinfection information of a historical disinfection process;

[0186] A historical data extraction module, configured to extract historical temperature data, historical humidity data, and historical microwave power data from the historical disinfection information according to a time series, so as to obtain historical data;

[0187] A data preprocessing module, configured to perform data stationarity processing on the historical data to obtain data to be processed;

[0188] A model training module, configured to train the data to be processed to obtain a preset model indicating a temperature change trend and a humidity change trend.

[0189] On the other hand, the present application further provides a computer-readable storage medium, in which at least one instruction or at least one program segment is stored, and the at least one instruction or at least one program segment is loaded and executed by a processor to implement the method as described above.

[0190] The foregoing are only optional embodiments of the present application, and are not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A disinfection control method for a disinfection cabinet, characterized in that: The method comprises: Obtaining a preset model indicating a temperature change trend and a humidity change trend; Determine a time point as the current time; Based on the preset model, a prediction analysis is performed on the temperature change trend and the humidity change trend at the current time to obtain a current predicted temperature and a current predicted humidity; Performing a strategy analysis based on the current predicted temperature and the current predicted humidity to generate a current control strategy for controlling a high temperature module of the disinfection cabinet and a current control strategy for controlling a microwave module of the disinfection cabinet; Disinfection control is performed based on the current control strategy.

2. The method according to claim 1, characterized in that Before performing the strategy analysis based on the current predicted temperature and the current predicted humidity, the method further includes: Acquire a temperature threshold, a first humidity threshold, and a second humidity threshold; the first humidity threshold is greater than the second humidity threshold; Divide the temperature interval into positive sequence according to the temperature threshold to obtain a first temperature interval and a second temperature interval; The humidity intervals are divided into positive order according to the first humidity threshold and the second humidity threshold to obtain a first humidity interval, a second humidity interval and a third humidity interval.

3. The method according to claim 2, characterized in that The strategy analysis based on the current predicted temperature and the current predicted humidity is performed to generate a current control strategy for controlling a high temperature module of the disinfection cabinet and a current control strategy for controlling a microwave module of the disinfection cabinet, including: Performing interval judgment on the current predicted temperature and the current predicted humidity respectively to obtain interval judgment results; A strategy analysis is performed based on the interval judgment result to generate a current control strategy for controlling the high temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet.

4. The method according to claim 3, characterized in that The strategy analysis is performed based on the interval judgment result to generate a current control strategy for controlling the high temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet, including: When the interval judgment result is that the current predicted temperature belongs to the second temperature interval, and the current predicted humidity belongs to the first humidity interval or the second humidity interval, a current control strategy of reducing microwave power and maintaining the current temperature is generated.

5. The method according to claim 3, characterized in that: The strategy analysis is performed based on the interval judgment result to generate a current control strategy for controlling the high temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet, including: When the interval judgment result is that the current predicted temperature belongs to the second temperature interval and the current predicted humidity belongs to the third humidity interval, a current control strategy of reducing microwave power and increasing the current temperature is generated.

6. The method according to claim 3, characterized in that The strategy analysis is performed based on the interval judgment result to generate a current control strategy for controlling the high temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet, including: When the interval judgment result is that the current predicted temperature belongs to the first temperature interval and the current predicted humidity belongs to the third humidity interval, a current control strategy of increasing microwave power and raising the current temperature is generated.

7. The method according to claim 3, characterized in that The strategy analysis is performed based on the interval judgment result to generate a current control strategy for controlling the high temperature module of the disinfection cabinet and the microwave module of the disinfection cabinet, including: When the interval judgment result is that the current predicted temperature belongs to the first temperature interval, and the current predicted humidity belongs to the first humidity interval or the second humidity interval, a current control strategy of increasing microwave power and maintaining the current temperature is generated.

8. The method according to claim 1, characterized in that The method further comprises: Get historical disinfection information of historical disinfection process; Extracting historical temperature data, historical humidity data and historical microwave power data from the historical disinfection information in time series to obtain historical data; Performing data stationarity processing on the historical data to obtain data to be processed; The data to be processed are trained to obtain a preset model indicating the temperature change trend and the humidity change trend.

9. A disinfection control device for a disinfection cabinet, characterized in that: The device comprises: A model acquisition module, used to acquire a preset model indicating a temperature change trend and a humidity change trend; A time determination module is used to determine a time point as the current time; A prediction and analysis module, used for predicting and analyzing the temperature change trend and the humidity change trend at the current time based on the preset model to obtain the current predicted temperature and the current predicted humidity; A control strategy generation module, used to perform strategy analysis based on the current predicted temperature and the current predicted humidity, and generate a current control strategy for controlling a high temperature module of the disinfection cabinet and a current control strategy for controlling a microwave module of the disinfection cabinet; A control strategy execution module is used to perform disinfection control based on the current control strategy.

10. A computer-readable storage medium, characterized in that: The storage medium stores at least one instruction or at least one program, and the at least one instruction or at least one program is loaded and executed by the processor to implement the method according to any one of claims 1 to 8.

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