An energy-saving steam box intelligent control system

Abstract

The present invention relates to the field of intelligent control, and in particular to an energy-saving steamer intelligent control system. However, it essentially only makes the steamer work in a fixed working mode, and cannot further reduce power consumption according to actual conditions. Although the multifunctional steamer also provides users with a control panel that can adjust various parameters inside the steamer in real time and a high degree of freedom mode. It includes a mode learning module, an internal detection module, a safety protection module, a steamer control module and a user operation module. The present invention uses a machine learning method to collect four key data of temperature, water level, pressure and humidity inside the steamer, and makes real-time corrections to the parameters of the working mode and the progress of the working stage during the working process of the steamer, ensuring that the steamer completes cooking in all modes in a state that is closest to the actual situation and the type of food, thereby greatly reducing the energy consumption of the steamer.

Description

Technical Field

[0001] The invention relates to the field of intelligent control, and in particular to an energy-saving steam box intelligent control system. Background Art

[0002] The structure of the traditional steamer is very simple. Water is added to the bottom of a closed container with a heater installed. After the container is closed, the water is heated by the heater to form water vapor. The water vapor will heat the food loaded in the steaming plate above. In this process, the pressure relief valve will open automatically when the pressure inside the steamer exceeds the threshold. In the above workflow, the user needs to add enough water according to experience and visually observe the steam discharged by the pressure relief valve to judge the cooking time of the food. The steamer itself is just a steamer that converts traditional stove heating into electric heating. The traditional steamer has the advantages of simple structure and easy operation, as well as the disadvantage of heavy reliance on the user's experience. When considering the improvement of the steamer, it is necessary to consider not changing the easy-to-operate characteristics of the steamer while enabling the steamer to complete the entire workflow by itself, that is, automation, and to maximize power saving.

[0003] Most of the current household steamers are small multifunctional steamers, and the heating method used is still the water vapor of the traditional steamer. Automation is achieved by making the steamer work automatically according to a pre-designed workflow, and a multi-mode cooking method is achieved by improving the internal structure of the steamer and adjusting the internal working environment of the steamer. However, it is essentially just to make the steamer work in a fixed way, and it is impossible to further reduce power consumption according to actual conditions. Although the multifunctional steamer also provides users with a control panel that can adjust various parameters inside the steamer in real time and a high degree of freedom mode, this obviously makes the steamer's work dependent on user experience, and does not really solve the problem of intelligent steamer work. It is necessary to have an intelligent control system that can truly analyze the internal working state of the steamer in real time and cook food according to the internal environment of the steamer, collect internal data to analyze the internal state of the steamer, and change the working state of the steamer in real time according to the internal state of the steamer.

[0004] Therefore, a steamer intelligent control system is needed which can coordinate the working modules inside the steamer to achieve the expected cooking effect and save power consumption by performing deep learning on the current working mode and the real-time collected internal state of the steamer during the operation of the steamer. Summary of the invention

[0005] In order to achieve the above objectives, the present invention provides an energy-saving steam box intelligent control system, including a mode learning module, an internal detection module, a safety protection module, a steam box control module and a user operation module;

[0006] The internal detection module includes a temperature sensor, a humidity sensor, a water level detector and a pressure gauge, which are used to obtain the temperature, humidity, water level and internal air pressure in the steam box in real time and send the obtained internal data of the steam box to the steam box control module and the mode learning module;

[0007] The steamer control module is used to control the working stage of the steamer according to a preset working mode, and decide whether to enter the next stage of working steps according to the internal data of the steamer sent by the internal detection module, and send the current working stage to the mode learning module and the safety protection module;

[0008] The mode learning module is used to train a parameter learning model according to a preset database when the steamer leaves the factory, and uses the received internal data of the steamer in the same round, the working stage of the steamer, and the prediction of the internal data of the steamer in the next round as a reference to adjust the parameters of the parameter learning model, and adjust the parameters of the steamer control module in the next stage according to the newly generated parameters;

[0009] The safety protection module is used to receive the steamer internal data and the current working stage sent by the steamer control module, determine whether the steamer is in a normal working state according to the steamer internal data and the current working stage, and take measures when an abnormal situation occurs;

[0010] The user operation module is used to provide the user with a control dashboard for operating the steamer control module. The control dashboard includes four functions: power switch, mode selection, remaining time, and temperature adjustment. The user can adjust the working status of the steamer in real time according to his or her needs through the control dashboard.

[0011] Furthermore, the preset working modes include: normal mode, professional mode, custom mode, and warm keeping mode, wherein the normal mode is the default mode and is applicable to the use of the steamer under normal operation, the professional mode is a mode specialized according to a series of different foods and methods, the custom mode is a mode set by the user according to his own needs, and the warm keeping mode is a mode in which the inside of the steamer is maintained at a constant temperature to keep the food warm after the steamer is finished working. The four modes use the same algorithm but the parameter values ​​in different modes are different. The formula of the algorithm is:

[0012]

[0013] Where W is the initial water level preset in different modes, T is the steamer working time preset in different modes, P is the pressure inside the steamer at each moment, H is tis the humidity inside the steamer at each moment, O represents the working progress value of the steamer's working completion degree, when O is equal to 1, the steamer enters the next working stage, a is the ideal humidity, b is the humidity auxiliary parameter, and c is the normalized parameter.

[0014] Furthermore, the principle of the parameter learning model is as follows: the parameter learning model uses different parameter values ​​corresponding to all modes of the steamer control module, the parameter learning model sets corresponding parameters according to the received steamer working stage, takes the received data obtained by the internal detection module as input, obtains predicted data for the data obtained by the internal detection module in the next round, and then compares the predicted data with the actual data obtained by the internal detection module in the next round, and corrects the parameters according to the difference between the two. The formula for correcting the parameters is:

[0015]

[0016] Wherein, u represents the parameter corresponding to any data of the steamer internal data of the parameter learning model, and u i is the corrected u, U is the data obtained by the internal detection module corresponding to u, and U ′ U is predicted by the parameter learning model;

[0017] The method for obtaining the prediction data is:

[0018]

[0019] Where C represents the total value of the work done by the steamer predicted by the parameter learning model, and u i represents the parameter corresponding to any data of the steamer internal data after the correction of the parameter learning model, u 0i The initial u corresponding to the parameter corresponding to any data of the steamer internal data and the parameter learning model i ,f(u 0i ) represents the u of the steam box changing with time in normal mode 0i Curve showing the functional relationship with the steamer working progress value.

[0020] Furthermore, the method for adjusting the parameters of the steam box control module in the next stage according to the newly generated parameters is:

[0021] A normalized parameter is calculated based on the ratio of the steamer work progress value to the steamer work progress value predicted by the parameter learning model, an optimal humidity range is obtained based on a curve of the functional relationship between the humidity of the steamer changing over time in normal mode and the total value of the work completed by the steamer, a humidity auxiliary parameter is obtained based on the upper and lower limit values ​​of the optimal humidity range, and an ideal humidity is obtained based on the peak value of the humidity in the optimal humidity range.

[0022] Furthermore, the method for determining whether the steamer is in a normal working state is as follows: the safety protection module obtains the current working mode and working stage of the steamer, and compares the preset standard data with the data obtained by the internal detection module. When the difference between the data obtained by the internal detection module and the standard data is too large, the safety protection module controls the steamer control module to take measures, and sends a reminder to the user through the user operation module.

[0023] Furthermore, the measures taken when an abnormal situation occurs include: when the temperature is too high, the safety protection module turns off the heating module of the steamer control module, and replaces the hot water supplied to the steamer for heating with normal temperature water to gradually lower the temperature inside the steamer; when the air pressure is too high, the safety protection module terminates the current operation of the steamer control module and opens the air pressure valve to reduce the air pressure; when the humidity is too high, the safety protection module increases the speed of replacing the water used to heat the steamer to reduce the water vapor; when the water level is too low, the safety protection module will obtain control of the water level from the steamer control module to maintain the water level at the minimum safe level; when an abnormal situation occurs, the safety protection module will send a warning message to the user operation module.

[0024] Furthermore, the steamer control module is also used to control cleaning. Before the steamer starts working and when the user sends a cleaning command to the steamer control module through the user operation module, the steamer control module will start the cleaning mode and drain all the used water inside the steamer after the cleaning is completed, and fill it with new water before the next steamer starts working.

[0025] Furthermore, the steamer control module is also used to control the water whose temperature drops after heating is completed to be stored through the filter for cooling when the steamer is completed, and to condense the excess water vapor generated when the steamer is working into heating water again, and the heat released by condensation is used to maintain the temperature inside the steamer.

[0026] Furthermore, the method of using the control instrument panel is that the user selects the working mode of the steamer through the mode selection button on the control instrument panel, and adjusts the working state of the steamer at any time according to the user's needs through the three buttons of switch, temperature and time. The control instrument panel sends the user-set state to the steamer control module through a command, and the steamer control module modifies the parameters through the mode learning module so that the internal state of the steamer meets the user's needs.

[0027] Furthermore, the setting method of the custom mode provided is: the user can connect the intelligent control system through an external device to edit the working mode of the steamer according to his or her own needs. The steamer control module will automatically adjust the workflow and parameters according to the mode edited by the user. The user can select the custom mode edited by himself or herself in the control dashboard and use it.

[0028] Beneficial effect: The present invention collects the real-time internal status of the steamer for machine learning to adjust the current working mode and real-time working status of the steamer, thereby obtaining the best working mode that meets the actual situation. This enables the steamer to achieve perfect results in multiple usage scenarios and greatly reduces power consumption. Even if the steamer is aged, it can still achieve good cooking results. The modularization of the machine learning model in the intelligent control system and the steamer control center also enables users to design a steamer working mode that meets their own needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a structural diagram of the control system of the present invention;

[0030] Figure 2 It is a module architecture diagram of the present invention;

[0031] Figure 3 This is a machine learning flow chart of the present invention. DETAILED DESCRIPTION

[0032] The above-mentioned embodiments only express the preferred implementation modes of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present invention. It should be pointed out that, for a person skilled in the art, several modifications, improvements and substitutions can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the present invention patent shall be subject to the attached claims.

[0033] The present invention provides an energy-saving steam box intelligent control system, which includes the following contents:

[0034] The energy-saving steamer intelligent control system includes an internal detection module, a steamer control module, a mode learning module, a safety protection module and a user operation module. The user operation module sets the working mode and working state of the steamer. The internal detection module collects internal data of the steamer. The steamer control module controls the operation of the steamer. The mode learning module optimizes the steamer control module by learning changes in internal data. The safety protection module controls the steamer control module and alarms the user operation module when the working state of the steamer is abnormal.

[0035] The working process of the energy-saving steam box intelligent control system is as follows:

[0036] The user starts the energy-saving steamer intelligent control system by operating the control panel on the steamer. The control panel provides four functions: power switch, mode selection, remaining time, and temperature adjustment. The user can adjust the working state of the steamer in real time according to their needs through the control panel. After the user sets the working mode of the steamer, the energy-saving steamer intelligent control system starts to control the steamer to start working. During this process, the user can adjust the working state of the steamer at any time through the three buttons of switch, temperature, and time. The control panel sends the user-set state to the steamer control module through a command. The steamer control module will modify the parameters through the mode learning module to make the internal state of the steamer meet the user's needs.

[0037] First, the steamer is added with water, heated, and other operations through the steamer control module according to the set working mode, and the internal parameter module collects the standard internal environmental parameters. The water vapor generated inside the steamer is crucial to the operation of the steamer. It is necessary to collect the temperature and humidity related to the production of water vapor and the water level of the water stored in the steamer for producing water vapor. In addition, considering that the steamer is in a closed state when working, the pressure caused by water vapor must also be considered. The internal detection module uses temperature sensors, humidity sensors, water level detectors, and pressure gauges to obtain the temperature, humidity, water level, and air pressure in the steamer in real time. These parameters are called internal environmental parameters.

[0038] The working mode provided by the steamer control module is similar to the multifunctional steamer on the market. The difference is that the working process of the multifunctional steamer mode is fixed and cannot be changed from the outside. At most, it can only cook in a combination of multiple modes in sequence. The mode of the steamer control module is divided into multiple stages. These stages can be divided into three stages: heating, maintaining, and cooling. Different combinations of parameters such as the duration and temperature of these stages constitute each mode. Moreover, the parameters of these modes are not fixed. The mode learning module has been trained and corrected in real time to achieve the working mode that best fits the actual situation. The steamer control module determines which stage it is in and whether to enter the next stage based on the data inside the steamer sent by the internal detection module. When it reaches different working stages under the preset working mode, it determines whether to enter the next stage based on the internal data of the steamer sent by the internal detection module, and sends the current working stage number to the mode learning module and the safety protection module.

[0039] During the operation of the steamer, the internal environment data collected by the internal detection module will also be sent to the mode learning module. The mode learning module contains a parameter learning model using deep learning. The function relationship curve between the internal environment parameters and the work progress value in different modes set when the steamer is in the factory setting mode is used as the basic data. The internal environment data at the next moment is predicted through the current function relationship curve and the internal environment data, and then the function relationship curve is corrected according to the least squares method based on the difference between the predicted internal environment data and the actual internal environment data. At the same time, the mode learning module determines the current work progress by integrating the function relationship curve, and sends the predicted current work progress to the steamer control module. The steamer control module decides whether to enter the next work stage according to the predicted current work progress.

[0040] The principle formula of the least squares method is:

[0041]

[0042] Where y is the actual value, x is the function dependent variable, f is the function to be adjusted, β is the reference vector with the correction function, S(β) is used to solve the equation by partial derivative to obtain β, and the function f is gradually adjusted according to the obtained β.

[0043] The principle of the parameter learning model is as follows: the parameter learning model uses different parameter values ​​corresponding to all modes of the steamer control module, the parameter learning model sets corresponding parameters according to the received steamer working stage, takes the received data obtained by the internal detection module as input, obtains the predicted data of the data obtained by the internal detection module in the next round, and then compares the predicted data with the actual data obtained by the internal detection module in the next round, and corrects the parameters according to the difference between the two. The formula for correcting the parameters is:

[0044]

[0045] Wherein, u represents the parameter corresponding to any data of the steamer internal data of the parameter learning model, and u i is the corrected u, U is the data obtained by the internal detection module corresponding to u, and U ′ U is predicted by the parameter learning model;

[0046] The method for obtaining the prediction data is:

[0047]

[0048] Where C represents the total value of the work done by the steamer predicted by the parameter learning model, and u i represents the parameter corresponding to any data of the steamer internal data after the correction of the parameter learning model, u 0iThe initial u corresponding to the parameter corresponding to any data of the steamer internal data and the parameter learning model i ,f(u 0i ) represents the u of the steam box changing with time in normal mode 0i Curve showing the functional relationship with the steamer working progress value.

[0049] The specific method of judging whether the steam box control module enters the next stage of parameters according to the function relationship curve is:

[0050] The normalized parameter c is calculated according to the ratio of the steamer work progress value to the total value of the work completed by the steamer predicted by the parameter learning model. The optimal humidity range is obtained according to the curve of the functional relationship between the humidity of the steamer changing with time and the total value of the work completed by the steamer in normal mode. The humidity auxiliary parameter b is obtained according to the upper and lower limit values ​​of the optimal humidity range. The ideal humidity a is obtained according to the peak value of the humidity in the optimal humidity range. The three are multiplied with the current internal data of the steamer to obtain the work progress value completed by the steamer at the current moment. Then, the work progress at all moments within a period of time is summed up, that is, the work progress value is integrated to obtain the total progress value completed by the steamer in the current working stage.

[0051] The preset working modes include: normal mode, professional mode, custom mode, and warm keeping mode. The normal mode is the default mode and is suitable for the use of the steamer under normal operation. The professional mode is a mode specialized for different foods and methods. The custom mode is a mode set by the user according to his own needs. The warm keeping mode is a mode that maintains the inside of the steamer at a constant temperature to keep the food warm after the steamer is done working. The four modes use the same algorithm but the parameter values ​​in different modes are different. The formula of the algorithm is:

[0052]

[0053] Where W is the initial water level preset in different modes, T is the steamer working time preset in different modes, P is the pressure inside the steamer at each moment, H is t is the humidity inside the steamer at each moment, O represents the working progress value of the steamer's working completion degree, when O is equal to 1, the steamer enters the next working stage, a is the ideal humidity, b is the humidity auxiliary parameter, and c is the normalized parameter.

[0054] The large amount of water vapor generated when the steamer is working makes the steamer in an extremely unstable state. During the operation of the steamer, it is necessary to monitor the working state of the steamer and take measures to warn the user when there is a problem in the working state.

[0055] The safety protection module has three functions: analyzing the internal data of the steamer and the current working status of the steamer, controlling the steamer control module, and issuing warnings. The working steps of the safety protection module are: obtaining the approximate range and change trend of the internal data of the steamer at this time according to the working stage sent by the steamer control module, and analyzing whether the actually obtained internal data of the steamer is within the approximate range and conforms to the change trend. When some data in the internal data of the steamer exceeds the range or the change trend is incorrect, the safety protection module will send information to the steamer control module, so that the steamer control module enters the corresponding protection mode to accept the control of the safety protection module and make corresponding changes, and alarms the user through the user operation module to prevent the safety protection module from failing.

[0056] The measures taken include: when the temperature is too high, the safety protection module turns off the heating module of the steamer control module, and replaces the hot water supplied to the steamer for heating with room temperature water to gradually lower the temperature inside the steamer, so as to avoid sudden temperature drops and drastic changes in the internal environment of the steamer, which may lead to further failures of the steamer; when the air pressure is too high, the safety protection module stops the current operation of the steamer control module and opens the air pressure valve to reduce the air pressure. As the most unstable factor inside the steamer, the air pressure needs to be reduced quickly when a problem is found. While reducing the air pressure, allowing the steamer to continue working will cause the air pressure to drop too slowly or even rise further. Therefore, the air pressure needs to be reduced to a safe level before the steamer can continue to work; when the humidity is too high, the safety protection module stops the current operation of the steamer control module and opens the air pressure valve to reduce the air pressure. When the water level is high, the safety protection module increases the replacement speed of the water used to heat the steamer to reduce the water vapor. Humidity, as a relatively safe factor, will only affect the taste of food. Considering that water vapor with increased humidity is the working principle of the steamer, directly using a dehumidifier will lead to further problems. The generation of water vapor can be reduced by reducing the contact between hot and cold water. When the water level is too low, the safety protection module will obtain control of the water level from the steamer control module to maintain the water level at the lowest safe level, and avoid further increasing the water level to affect the operation of the steamer control module while ensuring that the water will not dry up. When the above measures do not solve the problem or an abnormal situation occurs, the safety protection module will send a warning message to the user operation module.

[0057] When the steamer reaches the last stage of its operation, the steamer no longer heats up and adds water. The steamer control module controls the water whose temperature drops after heating is completed to be stored through the filter for cooling when the steamer is completed. The excess water vapor generated when the steamer is working is condensed back into heating water, and the heat released by condensation is used to gradually reduce the temperature inside the steamer.

[0058] After the steamer has finished its work, the steamer enters standby mode. At this time, the steamer control module will automatically start the cleaning mode. The cleaning mode can also be set to start before the steamer starts working next time through the user operation module to meet actual needs. After the cleaning mode is started, the steamer control module will drain the remaining water in the steamer, use the newly added cleaning water to clean the inner wall of the steamer, then drain the cleaning water, and finally air-dry the inner wall of the steamer.

[0059] In addition, users can also set the working mode of the steamer working module by themselves. Users can connect to the steamer intelligent control system through external devices and input the general workflow according to user needs. The steamer control module will adjust the specific details and working parameters according to the workflow input by the user to design a complete custom mode. At the same time, the steamer control module will send the custom mode to the mode learning module. The mode learning module will use the usual function as the basic function, perform virtual optimization according to the custom mode, and obtain the custom function corresponding to the custom mode. The custom function will be continuously optimized as the custom mode runs. After the custom mode setting is completed, the user can select the edited custom mode on the control dashboard and use it.

[0060] The present invention only involves the collection of data inside the steamer and the control of the three functions of heating, pressure relief and water addition of the steamer, and does not involve the internal structure of the steamer. The present invention can also be applied to old-style steamers.

[0061] The present invention reduces the energy consumption of the steamer in three aspects: firstly, the parameters of the working mode adopted by the steamer are changed according to the actual situation, and the working stage of the steamer is optimized by learning the working curve that best meets the characteristics of the food, so that the working mode of the steamer can be as close to the actual situation as possible, so that the steamer can complete the thermal processing of the food in a fast and economical way, which directly reduces the energy consumption; secondly, the steamer control module does not add a sufficient amount of water in advance, but adds it gradually according to the changes in the working stage, and the amount of water vapor generated in the steamer is maintained at a stable level by controlling the amount of water added and the frequency. To avoid energy waste caused by excessive air pressure inside the steamer, which may lead to decompression and cooling of the steamer, the heating and water addition will be stopped in advance after the steamer's work is basically completed. By recycling the hot water inside the steamer, the energy use is further reduced. Finally, the steamer will monitor the real-time data collected about the internal environment of the steamer and take safety measures for emergencies. This ensures that the working mode and working stage are close to reality, while also ensuring that the work of the steamer is not affected by the aging of the steamer itself. When a fault occurs in the steamer, the specific functions of the steamer control module can be reduced or stopped to avoid accidents, indirectly reducing the power consumption of the steamer.

[0062] The above-mentioned embodiments only express the preferred implementation modes of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present invention. It should be pointed out that, for a person skilled in the art, several modifications, improvements and substitutions can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the present invention patent shall be subject to the attached claims.

Claims

1. An energy-saving steam box intelligent control system, characterized in that: It includes a mode learning module, an internal detection module, a safety protection module, a steam box control module and a user operation module; The internal detection module includes a temperature sensor, a humidity sensor, a water level detector and a pressure gauge, which are used to obtain the temperature, humidity, water level and internal air pressure in the steam box in real time and send the obtained internal data of the steam box to the steam box control module and the mode learning module; The steamer control module is used to control the working stage of the steamer according to a preset working mode, and decide whether to enter the next stage of working steps according to the internal data of the steamer sent by the internal detection module, and send the current working stage to the mode learning module and the safety protection module; The mode learning module is used to train a parameter learning model according to a preset database when the steamer leaves the factory, and uses the received internal data of the steamer in the same round, the working stage of the steamer, and the prediction of the internal data of the steamer in the next round as a reference to adjust the parameters of the parameter learning model, and adjust the parameters of the steamer control module in the next stage according to the newly generated parameters; The safety protection module is used to receive the steamer internal data and the current working stage sent by the steamer control module, determine whether the steamer is in a normal working state according to the steamer internal data and the current working stage, and take measures when an abnormal situation occurs; The user operation module is used to provide a control panel for the user to operate the steam box control module. The control panel includes four functions: power switch, mode selection, remaining time, and temperature adjustment. The user can adjust the working state of the steam box in real time according to his own needs through the control panel; The preset working modes include: normal mode, professional mode, custom mode, and warm keeping mode, wherein the normal mode is the default mode and is applicable to the use of the steamer under normal operation, the professional mode is a mode specialized according to a series of different foods and methods, the custom mode is a mode set by the user according to his own needs, and the warm keeping mode is a mode in which the inside of the steamer is maintained at a constant temperature to keep the food warm after the steamer is finished working. The four modes use the same algorithm but the parameter values ​​in different modes are different. The formula of the algorithm is: Where W is the initial water level preset in different modes, T is the steamer working time preset in different modes, P is the pressure inside the steamer at each moment, H is t is the humidity inside the steamer at each moment, O represents the working progress value of the steamer's working completion degree, when O is equal to 1, the steamer enters the next working stage, a is the ideal humidity, b is the humidity auxiliary parameter, and c is the normalized parameter; The principle of the parameter learning model is as follows: the parameter learning model uses different parameter values ​​corresponding to all modes of the steam box control module, the parameter learning model sets corresponding parameters according to the received steam box working stage, takes the received data obtained by the internal detection module as input, obtains predicted data for the data obtained by the internal detection module in the next round, and then compares the predicted data with the actual data obtained by the internal detection module in the next round, and corrects the parameters according to the difference between the two. The formula for correcting the parameters is: Wherein, u represents the parameter corresponding to any data of the steamer internal data of the parameter learning model, and u i is the corrected u, U is the data obtained by the internal detection module corresponding to u, and U ′ U is predicted by the parameter learning model; The method for obtaining the prediction data is: Where C represents the total value of the work done by the steamer predicted by the parameter learning model, and u i represents the parameter corresponding to any data of the steamer internal data after the correction of the parameter learning model, u 0i The initial u corresponding to the parameter corresponding to any data of the steamer internal data and the parameter learning model i ,f(u 0i ) represents the u of the steam box changing with time in normal mode 0i Curve of functional relationship with steam box working progress value; The method for adjusting the parameters of the steam box control module in the next stage according to the newly generated parameters is: A normalized parameter is calculated based on the ratio of the steamer work progress value to the total value of the work completed by the steamer predicted by the parameter learning model. An optimal humidity range is obtained based on a curve of the functional relationship between the humidity of the steamer that changes over time in normal mode and the total value of the work completed by the steamer. A humidity auxiliary parameter is obtained based on the upper and lower limit values ​​of the optimal humidity range. An ideal humidity is obtained based on the peak value of the humidity in the optimal humidity range.

2. The energy-saving steam box intelligent control system according to claim 1, characterized in that: The method for determining whether the steamer is in a normal working state is as follows: the safety protection module obtains the current working mode and working stage of the steamer, and compares the preset standard data with the data obtained by the internal detection module. When the difference between the data obtained by the internal detection module and the standard data is too large, the safety protection module controls the steamer control module to take measures, and sends a reminder to the user through the user operation module.

3. The energy-saving steam box intelligent control system according to claim 1 is characterized in that: The measures taken when an abnormal situation occurs include: when the temperature is too high, the safety protection module turns off the heating module of the steamer control module, and replaces the hot water supplied to the steamer for heating with room temperature water to gradually lower the temperature inside the steamer; when the air pressure is too high, the safety protection module terminates the current operation of the steamer control module and opens the air pressure valve to reduce the air pressure; when the humidity is too high, the safety protection module increases the speed of replacing the water used to heat the steamer to reduce the water vapor; when the water level is too low, the safety protection module will obtain control of the water level from the steamer control module to maintain the water level at the minimum safe level; when an abnormal situation occurs, the safety protection module will send a warning message to the user operation module.

4. The energy-saving steam box intelligent control system according to claim 1, characterized in that: The steamer control module is also used to control cleaning. Before the steamer starts working and when the user sends a cleaning command to the steamer control module through the user operation module, the steamer control module will start the cleaning mode and drain all the used water inside the steamer after the cleaning is completed, and fill it with new water before the steamer starts working next time.

5. The energy-saving steam box intelligent control system according to claim 1, characterized in that: The steamer control module is also used to control the water whose temperature drops after heating is completed to be stored through the filter for cooling when the steamer is completed, and to condense the excess water vapor generated when the steamer is working into heating water again. The heat released by condensation is used to maintain the temperature inside the steamer.

6. The energy-saving steam box intelligent control system according to claim 1, characterized in that: The method of using the control instrument panel is that the user selects the working mode of the steamer through the mode selection button on the control instrument panel, and adjusts the working state of the steamer at any time according to the user's needs through the three buttons of switch, temperature and time. The control instrument panel sends the user-set state to the steamer control module through a command, and the steamer control module modifies the parameters through the mode learning module so that the internal state of the steamer meets the user's needs.

7. The energy-saving steam box intelligent control system according to claim 1, characterized in that: The setting method of the provided custom mode is: the user can connect the intelligent control system through an external device to edit the working mode of the steamer according to his own needs. The steamer control module will adjust the workflow and parameters according to the mode edited by the user. The user can select the custom mode edited by himself in the control dashboard and use it.

Images