Intelligent curve room regulation system and control method thereof

Abstract

The application discloses an intelligent Daqu regulating system and a control method thereof, and relates to the field of Daqu intelligent regulation, which comprises the following parts: a Daqu, an electric control box, a temperature and humidity control system connected with the electric control box and the Daqu, a first Daqu block, a Daqu humidity sensor, a second Daqu block and a Daqu temperature sensor installed in the Daqu, a first Daqu block temperature sensor and a first Daqu block humidity sensor arranged in the first Daqu block, a second Daqu block temperature sensor and a second Daqu block humidity sensor arranged in the second Daqu block, and the Daqu humidity sensor, the Daqu temperature sensor, the first Daqu block temperature sensor, the first Daqu block humidity sensor, the second Daqu block temperature sensor and the second Daqu block humidity sensor are all connected with the electric control box. The application can accurately regulate the environmental temperature and humidity in the Daqu, can guarantee the uniformity of the temperature and humidity of each Daqu block during Daqu fermentation, and has the characteristics of stable system operation, short response time, fast response speed, stable temperature and humidity control and the like.

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology for traditional Chinese medicine (TCM) rooms, specifically to an intelligent TCM room control system and its control method. Background Technology

[0002] The traditional curing room environment is harsh, with extremely high temperatures, humidity, and carbon dioxide levels. Workers must perform continuous, high-intensity curing operations under these conditions, posing significant safety risks. Furthermore, traditional curing rooms have many hidden corners and poor sealing, making them prone to bacterial contamination and difficult to disinfect. Contamination in one batch can affect subsequent batches. Temperature control in traditional curing rooms relies on manual methods, requiring workers to spend 2-3 hours inside to measure temperature and humidity, resulting in slow and inconsistent measurements. Different personnel have varying understandings of temperature control, leading to significant differences in the control methods employed. Summary of the Invention

[0003] The purpose of this invention is to provide an intelligent control system and control method for a music room, so as to solve the problems of large control differences, slow measurement response speed and unstable measurement that exist in traditional manual control.

[0004] The technical solution adopted by this invention to solve the technical problem is as follows:

[0005] The present invention provides an intelligent music room control system, comprising:

[0006] Qufang;

[0007] Electrical control box;

[0008] Temperature-controlled dehumidification systems are connected to the electrical control box and the cursive room respectively;

[0009] The first curing block, the curing room humidity sensor, the second curing block, and the curing room temperature sensor are installed inside the curing room;

[0010] A temperature sensor and a humidity sensor for the first curved block are installed inside the first curved block;

[0011] A second curved block temperature sensor and a second curved block humidity sensor are installed inside the second curved block;

[0012] The humidity sensor, temperature sensor, temperature sensor, first curved block temperature sensor, first curved block humidity sensor, second curved block temperature sensor, and second curved block humidity sensor are all connected to the electrical control box.

[0013] Furthermore, it also includes: exhaust vents located on the main body of the flute.

[0014] Furthermore, it also includes: a weather station; the weather station is connected to the electrical control box.

[0015] Furthermore, the temperature-controlled dehumidification system includes:

[0016] Carbon dioxide dehumidifier and ultrasonic humidifier installed inside the cursive room;

[0017] The fan connected to the electrical control box;

[0018] Cold coils, hot coils, and air inlet ducts connected to the fan;

[0019] A linkage air valve installed on the air inlet duct;

[0020] The cold air switch installed on the cold coil;

[0021] Hot air switch installed on the heating coil;

[0022] A circulation pipe installed inside the cursive room, wherein the air inlet of the circulation pipe is connected to the air outlet of the air inlet pipe, and the circulation pipe is provided with an air outlet hole;

[0023] The carbon dioxide dehumidifier, ultrasonic humidifier, interlocking air valve, cold air switch, and hot air switch are all connected to the electrical control box.

[0024] Furthermore, the electrical control box is equipped with a central computer, a data processing module, and a power supply module. The central computer is equipped with temperature and humidity monitoring software and is connected to a weather station for data communication. The data processing module includes a microprocessor, a signal amplifier, an A / D converter, a communication interface, and a power interface. The central computer is connected to the microprocessor via the communication interface, and the power supply module is connected to the microprocessor via the power interface. The fan, linkage damper, cold air switch, hot air switch, carbon dioxide dehumidifier, ultrasonic humidifier, and A / D converter are all connected to the microprocessor. The A / D converter is connected to the signal amplifier. The curved chamber temperature sensor, curved chamber humidity sensor, first curved block temperature sensor, first curved block humidity sensor, second curved block temperature sensor, and second curved block humidity sensor are all connected to the signal amplifier.

[0025] Furthermore, the central computer acquires weather data from a meteorological station; it measures the temperature data inside the curved chamber using a temperature sensor, amplifies the data using a signal amplifier processor, and then converts it to digital data using an A / D converter before transmitting it to the microprocessor; it measures the humidity data inside the curved chamber using a humidity sensor, amplifies the data using a signal amplifier processor, and then converts it to digital data using an A / D converter before transmitting it to the microprocessor; it measures the temperature data of the first curved block using a temperature sensor, amplifies the data using a signal amplifier processor, and then converts it to digital data using an A / D converter before transmitting it to the microprocessor; it measures the humidity data of the first curved block using a humidity sensor, amplifies the data using a signal amplifier processor, and then converts it to digital data using an A / D converter before transmitting it to the microprocessor; it measures the temperature data of the second curved block using a temperature sensor, amplifies the data using a signal amplifier processor, and then converts it to digital data using an A / D converter before transmitting it to the microprocessor; and it measures the temperature data of the second curved block using a temperature sensor, amplifies the data using a signal amplifier processor. After amplification, the data is converted from analog to digital by an A / D converter and then transmitted to the microprocessor. The humidity data of the second curved block is measured by the humidity sensor of the second curved block, amplified by the signal amplifier processor, and then converted from analog to digital by an A / D converter before being transmitted to the microprocessor. The microprocessor receives the temperature and humidity data, processes the data, and transmits it to the central computer. The temperature and humidity monitoring software processes the data and displays the temperature and humidity curves of the curved chamber, as well as the temperature and humidity curves of the first and second curved blocks, in real time. At the same time, it stores data and sends control commands. The control commands are sent from the temperature and humidity monitoring software to the microprocessor, and then sent to the temperature control and dehumidification system. Finally, the fan, linkage air valve, cold air switch, cold coil, hot air switch, hot coil, carbon dioxide dehumidifier, and ultrasonic humidifier perform corresponding operations to complete the temperature and humidity control in the curved chamber.

[0026] The present invention provides a control method for an intelligent music room control system, comprising the following steps:

[0027] Step 1: Construct a fuzzy neural network based on the standard Mamdani model;

[0028] The fuzzy neural network based on the standard Mamdani model includes: a front-end input layer, a fuzzification layer, a fuzzy inference layer, and a defuzzification layer, as well as a back-end input layer, a computation layer, and an output layer;

[0029] Step 2: Select the control variables to input;

[0030] The deviation between the actual temperature and humidity values ​​of the room and the target temperature and humidity values ​​is selected as the input of the fuzzy neural network. At the same time, the start and stop times of the actuators such as the hot air switch, cold air switch, fan, linkage air valve, carbon dioxide dehumidifier, and ultrasonic humidifier are selected as the output of the fuzzy neural network.

[0031] Step 3: Formulate fuzzy reasoning rules;

[0032] Based on actual needs, temperature deviation and humidity deviation are set, and fuzzy sets of temperature deviation and humidity deviation are formed. At the same time, membership functions of temperature deviation and humidity deviation are formed. The start and stop time fuzzy sets of the output of each execution device are set. Finally, a fuzzy inference rule table is established.

[0033] Step 4: Optimize the network structure;

[0034] In this fuzzy neural network based on the standard Mamdani model, the front-end input layer is used to input the data into the network. The fuzzification layer uses a Gaussian membership function to fuzzify the input data. The fuzzy inference layer consists of multiple neurons. The defuzzification layer is used for normalization calculation and serves as the connection weights for the back-end input layer. The output of the defuzzification layer is input into the back-end input layer. The computation layer consists of multiple neurons. The output layer is used to perform a weighted summation of the output of the defuzzification layer and the output of the computation layer. The output layer has multiple outputs, namely, hot air switch, cold air switch, fan, linkage damper, carbon dioxide dehumidifier, and ultrasonic humidifier.

[0035] Step 5: Optimize network parameters;

[0036] By optimizing the center value, variance, and network weights of the Gaussian membership function using an optimization algorithm, the fuzzy inference rules are continuously optimized. After the above optimization, the temperature deviation membership function and the humidity deviation membership function are obtained.

[0037] Step Six: Controlling the temperature and humidity of the curing room;

[0038] Set the initial and final temperatures of the curing room; set the initial and final humidity of the curing room, and regulate the temperature and humidity of the curing room according to the above requirements using an optimized fuzzy neural network based on the standard model Mamdani.

[0039] The beneficial effects of this invention are:

[0040] The present invention provides an intelligent fermentation room control system that can precisely control the ambient temperature and humidity inside the fermentation room, ensuring the uniformity of temperature and humidity of each fermentation block during the fermentation of koji. The system has advantages such as stable operation, short response time, and fast response speed.

[0041] The fuzzy neural network control algorithm based on the standard model (Mamdani) used in the control method of the intelligent fuzzy room control system of the present invention has a strong self-learning ability, making the fuzzy control closer to the actual situation. The fuzzy neural network control algorithm combines qualitative knowledge expression and quantitative numerical calculation well, resulting in better control effect. Furthermore, the fuzzy neural network control algorithm does not rely on a precise mathematical model and has the characteristics of short adjustment response time, fast response speed, and stable temperature and humidity control. Attached Figure Description

[0042] Figure 1 This is a schematic diagram of the structure of an intelligent control system for a music room according to the present invention.

[0043] Figure 2 This diagram shows the connection between the central computer, data processing module, and power supply module.

[0044] Figure 3 This is a block diagram showing the structural components of the data processing module.

[0045] Figure 4 This is a flowchart of a control method for an intelligent music room control system according to the present invention.

[0046] In the diagram, 1. Weather station, 2. Electrical control box, 3. Carbon dioxide dehumidifier, 4. Fan, 5. Linkage air valve, 6. Air inlet pipe, 7. Circulation pipe, 8. First curved block temperature sensor, 9. First curved block, 10. First curved block humidity sensor, 11. Cold air switch, 12. Cold coil, 13. Hot air switch, 14. Exhaust vent, 15. Curved room humidity sensor, 16. Second curved block temperature sensor, 17. Curved room, 18. Second curved block, 19. Second curved block humidity sensor, 20. Curved room temperature sensor, 21. Heating coil, 22. Ultrasonic humidifier. Detailed Implementation

[0047] The present invention will be further described in detail below with reference to the accompanying drawings.

[0048] Firstly, see [the following] Figure 1 As described above, this invention provides an intelligent music room control system, which mainly includes:

[0049] Weather station 1, electrical control box 2, temperature control and dehumidification system, first curved block temperature sensor 8, first curved block 9, first curved block humidity sensor 10, exhaust port 14, curved room humidity sensor 15, second curved block temperature sensor 16, curved room 17, second curved block 18, second curved block humidity sensor 19 and curved room temperature sensor 20.

[0050] Weather station 1 is connected to electrical control box 2. Temperature control and dehumidification system is connected to electrical control box 2 and dehumidification chamber 17 respectively. First dehumidification block 9, dehumidification chamber humidity sensor 15, second dehumidification block 18 and dehumidification chamber temperature sensor 20 are all installed in dehumidification chamber 17. First dehumidification block temperature sensor 8 and first dehumidification block humidity sensor 10 are both located inside first dehumidification block 9. Second dehumidification block temperature sensor 16 and second dehumidification block humidity sensor 19 are both located inside second dehumidification block 18. Dehumidification chamber humidity sensor 15, dehumidification chamber temperature sensor 20, first dehumidification block temperature sensor 8, first dehumidification block humidity sensor 10, second dehumidification block temperature sensor 16 and second dehumidification block humidity sensor 19 are all connected to electrical control box 2. Exhaust vent 14 is located on the body of dehumidification chamber 17.

[0051] The temperature-controlled dehumidification system mainly includes: a carbon dioxide dehumidifier 3, a fan 4, a linkage air valve 5, an air inlet duct 6, a circulation duct 7, a cold air switch 11, a cold coil 12, a hot air switch 13, a hot coil 21, and an ultrasonic humidifier 22; among them, the carbon dioxide dehumidifier 3 and the ultrasonic humidifier 22 are respectively connected to the electrical control box 2, and both the carbon dioxide dehumidifier 3 and the ultrasonic humidifier 22 are installed inside the ventilation room 17; the cold coil 12, the hot coil 21, and the air inlet duct 6 are all connected to the fan 4. The following components are connected: a cold air switch 11 is installed on the cold coil 12 and connected to the electrical control box 2; a hot air switch 13 is installed on the hot coil 21 and connected to the electrical control box 2; a linkage air valve 5 is installed on the air inlet pipe 6 and connected to the electrical control box 2; a fan 4 is connected to the electrical control box 2; a circulation pipe 7 is installed inside the curving room 17 and the air inlet of the circulation pipe 7 is connected to the air outlet of the air inlet pipe 6; and an air outlet 701 is also provided on the circulation pipe 7.

[0052] See Figure 2 and Figure 3 The electrical control box 2 contains a central computer, a data processing module, and a power supply module. The central computer contains temperature and humidity monitoring software and is also connected to the weather station 1 for data communication. The data processing module mainly includes a microprocessor, a signal amplifier, an A / D converter, a communication interface, and a power interface. The central computer is connected to the microprocessor via the communication interface, and the power supply module is connected to the microprocessor via the power interface. The fan 4, the linkage damper 5, the cold air switch 11, the hot air switch 13, the carbon dioxide dehumidifier 3, the ultrasonic humidifier 22, and the A / D converter are all connected to the microprocessor. The A / D converter is connected to the signal amplifier. The curved chamber temperature sensor 20, the curved chamber humidity sensor 15, the first curved block temperature sensor 8, the first curved block humidity sensor 10, the second curved block temperature sensor 16, and the second curved block humidity sensor 19 are all connected to the signal amplifier.

[0053] This invention provides an intelligent music room control system, the working principle of which is as follows:

[0054] The central computer acquires weather data from weather station 1; it measures the temperature data inside curved chamber 17 using curved chamber temperature sensor 20, amplifies the data using a signal amplifier processor, and then transmits it to the microprocessor after analog-to-digital conversion via an A / D converter; it measures the humidity data inside curved chamber 17 using curved chamber humidity sensor 15, amplifies the data using a signal amplifier processor, and then transmits it to the microprocessor after analog-to-digital conversion via an A / D converter; it measures the temperature data of the first curved block 9 using the first curved block temperature sensor 8, amplifies the data using a signal amplifier processor, and then transmits it to the microprocessor after analog-to-digital conversion via an A / D converter; it measures the humidity data of the first curved block 9 using the first curved block humidity sensor 10, amplifies the data using a signal amplifier processor, and then transmits it to the microprocessor after analog-to-digital conversion via an A / D converter; it measures the temperature data of the second curved block 18 using the second curved block temperature sensor 16, amplifies the data using a signal amplifier processor... After processing, the data is converted from analog to digital by an A / D converter and then transmitted to the microprocessor. The humidity data of the second curved block 18 is measured by the humidity sensor 19 and amplified by the signal amplifier processor. After being converted from analog to digital by an A / D converter, the data is transmitted to the microprocessor. The microprocessor receives the temperature and humidity data, processes the data, and transmits it to the central computer. The temperature and humidity monitoring software processes the data and displays the temperature and humidity curves of the curved room, as well as the temperature and humidity curves of the first curved block 9 and the second curved block 18, in real time. At the same time, it stores data and sends control commands. The control commands are sent from the temperature and humidity monitoring software to the microprocessor, and then sent to the temperature control and dehumidification system. Finally, the fan 4, the linkage air valve 5, the cold air switch 11, the cold coil 12, the hot air switch 13, the hot coil 21, the carbon dioxide dehumidifier 3, and the ultrasonic humidifier 22 perform corresponding operations to complete the temperature and humidity control in the curved room.

[0055] This invention provides an intelligent music room control system, which mainly includes the following functions:

[0056] 1. Temperature regulation inside the flute 17, including heating and cooling;

[0057] When the temperature inside the curving chamber 17 needs to be increased, the temperature and humidity monitoring software sends a temperature control command to the microprocessor. The microprocessor then sends this command to the hot air switch 13, the fan 4, and the interlocking air valve 5. The hot air switch 13 first turns on and controls the heating coil 21 to heat the air. Then, the fan 4 and the interlocking air valve 5 start, delivering hot air to the circulation pipe 7 through the air inlet pipe 6. The hot air is then blown into the curving chamber 17 through the air outlet 701. During the temperature increase, the temperature inside the curving chamber 17 is measured in real time by the curving chamber temperature sensor 20. At the same time, the temperature inside the first curving block 9 is measured in real time by the first curving block temperature sensor 8, and the temperature inside the second curving block 18 is measured in real time by the second curving block temperature sensor 16. When the temperature inside the curving chamber 17 meets the experimental requirements, the temperature and humidity monitoring software sends a stop temperature control command to the microprocessor. The microprocessor then controls the hot air switch 13, the fan 4, and the interlocking air valve 5 to stop working, completing the temperature increase operation.

[0058] When cooling is required inside the curving chamber 17, a cooling control command is sent to the microprocessor via the temperature and humidity monitoring software. The microprocessor then sends this cooling control command to the cold air switch 11, the fan 4, and the linkage valve 5. The cold air switch 11 first turns on and controls the cooling coil 12 to perform air cooling. Then, the fan 4 and the linkage valve 5 start, delivering cold air to the circulation pipe 7 through the air inlet pipe 6. The cold air is blown into the curving chamber 17 through the air outlet 701. During the cooling process, the temperature inside the curving chamber 17 is measured in real time by the curving chamber temperature sensor 20. At the same time, the temperature inside the first curving block 9 is measured in real time by the first curving block temperature sensor 8, and the temperature inside the second curving block 18 is measured in real time by the second curving block temperature sensor 16. When the temperature inside the curving chamber 17 meets the experimental requirements, a stop cooling control command is sent to the microprocessor via the temperature and humidity monitoring software. The microprocessor then controls the cold air switch 11, the fan 4, and the linkage valve 5 to stop working, completing the cooling operation.

[0059] 2. The dehumidification operation inside room 17 has the following three dehumidification modes:

[0060] (1) Intelligent dehumidification mode;

[0061] Intelligent dehumidification can be achieved by heating the interior of the curving chamber 17. When dehumidification is required inside the curving chamber 17, a dehumidification control command is sent to the microprocessor via the temperature and humidity monitoring software. The microprocessor then sends this dehumidification control command to the hot air switch 13, the fan 4, and the linkage valve 5. The hot air switch 13 first turns on and controls the heating coil 21 to heat the air. Then, the fan 4 and the linkage valve 5 start, delivering hot air to the circulation pipe 7 through the air inlet pipe 6. The hot air is blown into the interior of the curving chamber 17 through the air outlet 701. During the heating process, the humidity inside the curving chamber 17 is measured in real time by the curving chamber humidity sensor 15. At the same time, the humidity inside the first curving block 9 is measured in real time by the first curving block humidity sensor 10, and the humidity inside the second curving block 18 is measured in real time by the second curving block humidity sensor 19. When the humidity inside the curving chamber 17 meets the experimental requirements, a stop dehumidification control command is sent to the microprocessor via the temperature and humidity monitoring software. The microprocessor then controls the hot air switch 13, the fan 4, and the linkage valve 5 to stop working, completing the intelligent dehumidification operation.

[0062] (2) Terminal dehumidification mode;

[0063] Terminal dehumidification can be achieved by supplying carbon dioxide into the curvature chamber 17. When dehumidification is required inside the curvature chamber 17, a dehumidification control command is sent to the microprocessor via the temperature and humidity monitoring software. The microprocessor then sends this dehumidification control command to the carbon dioxide dehumidifier 3 and the linkage valve 5. The carbon dioxide dehumidifier 3 and the linkage valve 5 are activated, supplying carbon dioxide into the curvature chamber 17 via the carbon dioxide dehumidifier 3. During this process, the humidity inside the curvature chamber 17 is measured in real time via the curvature chamber humidity sensor 15. Simultaneously, the humidity inside the first curvature block 9 is measured in real time via the first curvature block humidity sensor 10, and the humidity inside the second curvature block 18 is measured in real time via the second curvature block humidity sensor 19. When the humidity inside the curvature chamber 17 meets the experimental requirements, a stop dehumidification control command is sent to the microprocessor via the temperature and humidity monitoring software. The microprocessor then controls the carbon dioxide dehumidifier 3 and the linkage valve 5 to stop working, completing the terminal dehumidification operation.

[0064] (3) Strong moisture removal mode;

[0065] When the humidity inside the flute 17 is high, the above-mentioned (1) intelligent dehumidification operation and (2) terminal dehumidification operation can be performed simultaneously.

[0066] 3. Humidification operation inside room 17;

[0067] Humidification of the interior of the curved chamber 17 can be achieved by activating the ultrasonic humidifier 22. When humidification is required inside the curved chamber 17, a humidification control command is sent to the microprocessor via the temperature and humidity monitoring software. The microprocessor then sends this humidification control command to the ultrasonic humidifier 22, which initiates the humidification operation. During humidification, the humidity inside the curved chamber 17 is measured in real time by the curved chamber humidity sensor 15, and simultaneously, the humidity inside the first curved block 9 is measured in real time by the first curved block humidity sensor 10, and the humidity inside the second curved block 18 is measured in real time by the second curved block humidity sensor 19. When the humidity inside the curved chamber 17 meets the experimental requirements, a stop humidification control command is sent to the microprocessor via the temperature and humidity monitoring software. The microprocessor then controls the ultrasonic humidifier 22 to stop working, completing the humidification operation.

[0068] This invention provides an intelligent music room control system with the following performance parameters:

[0069] 1. Wide temperature control capability: The temperature range can be controlled from 18℃ to 60℃;

[0070] 2. Temperature uniformity inside the flute 17: The temperature difference between the front and back, left and right, and top and bottom is generally within 0.5℃;

[0071] 3. Humidity control capabilities of the QuFang 17: It features intelligent dehumidification mode, terminal dehumidification mode, and strong dehumidification mode.

[0072] 4. Internal carbon dioxide control of Qufang 17: operating range 300ppm-20000ppm.

[0073] This invention provides an intelligent fermentation room control system. By regulating the uniformity of temperature and humidity inside the fermentation room 17, the system indirectly ensures the uniformity of temperature and humidity of the fermentation blocks in the fermentation room 17, thereby ensuring the consistency of the fermentation process.

[0074] Secondly, see Figure 4 This invention provides a control method for an intelligent music room control system, primarily implemented through temperature and humidity monitoring software installed in a central computer. This software embeds a fuzzy neural network control algorithm based on the Mamdani standard model. The received temperature and humidity data are processed by this algorithm, and control signals are sent to a microprocessor. Finally, the microprocessor controls the operation of various actuators, ultimately achieving temperature and humidity regulation in the music room 17. The control method mainly includes the following steps:

[0075] Step 1: Construct a fuzzy neural network based on the standard model (Mamdani);

[0076] This fuzzy neural network based on the standard model (Mamdani) mainly includes: a front-end input layer, a fuzzification layer, a fuzzy inference layer, and a defuzzification layer, as well as a back-end input layer, a computation layer, and an output layer.

[0077] Step 2: Select the control variables to input;

[0078] In this invention, temperature and humidity are selected as the environmental factors that have the greatest impact on the fermentation of Daqu. Therefore, the deviation between the actual temperature and humidity values ​​and the target temperature and humidity values ​​of the fermentation room 17 is selected as the input of the fuzzy neural network. The target temperature and humidity values ​​are obtained by analyzing the actual temperature and humidity data, Daqu temperature changes, Daqu humidity changes and other indicators collected in the fermentation process of multiple wineries, and the values ​​of the target temperature and humidity curves at different times. At the same time, the start and stop times of the actuators such as the hot air switch 13, cold air switch 11, fan 4, linkage air valve 5, carbon dioxide dehumidifier 3 and ultrasonic humidifier 22 are used as the output of the fuzzy neural network.

[0079] Step 3: Formulate fuzzy reasoning rules;

[0080] Based on actual needs, temperature deviation and humidity deviation are set, and fuzzy sets of temperature deviation and humidity deviation are formed. At the same time, membership functions of temperature deviation and humidity deviation are also formed. In addition, fuzzy sets of start and stop times of the output of each execution device are set. Finally, a fuzzy inference rule table is established.

[0081] Step 4: Optimize the network structure;

[0082] In this fuzzy neural network based on the standard model (Mamdani), the front-end input layer receives the input data. The fuzzification layer uses a Gaussian membership function to fuzzify the input data. The fuzzy inference layer consists of multiple neurons. The defuzzification layer performs normalization calculations and serves as the connection weights for the back-end input layer. The output of the defuzzification layer is input through the back-end input layer. The computation layer also consists of multiple neurons. The output layer performs a weighted summation of the outputs of the defuzzification layer and the computation layer. The output layer has multiple outputs: a hot air switch 13, a cold air switch 11, a fan 4, a linkage valve 5, a carbon dioxide dehumidifier 3, and an ultrasonic humidifier 22.

[0083] Step 5: Optimize network parameters;

[0084] By optimizing the center value, variance, and network weights of the Gaussian membership function using an optimization algorithm, the fuzzy inference rules can be continuously optimized. After the above optimization, the temperature deviation membership function and the humidity deviation membership function can be obtained.

[0085] Step Six: Controlling the temperature and humidity of the room 17;

[0086] The initial temperature of curing chamber 17 was set to 18℃, and the final temperature to 60℃; the initial humidity of curing chamber 17 was set to 50%RH, and the final humidity to 75%RH. A fuzzy neural network based on the standard model (Mamdani) was optimized to regulate the temperature and humidity of curing chamber 17 according to the above requirements. The results are as follows:

[0087] The control method of the intelligent room control system of the present invention achieves a maximum deviation of 0.1℃ in the temperature output curve and an adjustment time of only about 500s; while the maximum deviation of the humidity output curve is 0.5%RH and the adjustment time is only about 400s.

[0088] The fuzzy neural network control algorithm based on the standard model (Mamdani) used in this invention does not rely on a precise mathematical model and has the characteristics of short adjustment response time, fast response speed and stable temperature and humidity control.

[0089] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A control method for an intelligent music room control system, characterized in that, The intelligent curing room control system includes: a curing room; an electrical control box; a temperature control and dehumidification system connected to the electrical control box and the curing room respectively; a first curing block, a curing room humidity sensor, a second curing block, and a curing room temperature sensor installed in the curing room; a first curing block temperature sensor and a first curing block humidity sensor installed inside the first curing block; a second curing block temperature sensor and a second curing block humidity sensor installed inside the second curing block; the curing room humidity sensor, the curing room temperature sensor, the first curing block temperature sensor, the first curing block humidity sensor, the second curing block temperature sensor, and the second curing block humidity sensor are all connected to the electrical control box. The temperature-controlled dehumidification system includes: a carbon dioxide dehumidifier and an ultrasonic humidifier installed inside the cursive room; a fan connected to the electrical control box; a cold coil, a hot coil, and an air inlet pipe connected to the fan; a linkage valve installed on the air inlet pipe; a cold air switch installed on the cold coil; a hot air switch installed on the hot coil; and a circulation pipe installed inside the cursive room, wherein the air inlet of the circulation pipe is connected to the air outlet of the air inlet pipe, and the circulation pipe is provided with an air outlet; the carbon dioxide dehumidifier, the ultrasonic humidifier, the linkage valve, the cold air switch, and the hot air switch are all connected to the electrical control box. The electrical control box contains a central computer, a data processing module, and a power supply module. The central computer is equipped with temperature and humidity monitoring software and is connected to a weather station for data communication. The data processing module includes a microprocessor, a signal amplifier, an A / D converter, a communication interface, and a power interface. The central computer is connected to the microprocessor via the communication interface, and the power supply module is connected to the microprocessor via the power interface. The fan, linkage damper, cold air switch, hot air switch, carbon dioxide dehumidifier, ultrasonic humidifier, and A / D converter are all connected to the microprocessor. The A / D converter is connected to the signal amplifier. The curved chamber temperature sensor, curved chamber humidity sensor, first curved block temperature sensor, first curved block humidity sensor, second curved block temperature sensor, and second curved block humidity sensor are all connected to the signal amplifier. The central computer acquires weather data from the meteorological station; it measures the temperature data inside the curved chamber using a temperature sensor, amplifies the data using a signal amplifier processor, and then converts it to digital data using an A / D converter before transmitting it to the microprocessor; it measures the humidity data inside the curved chamber using a humidity sensor, amplifies the data using a signal amplifier processor, and then converts it to digital data using an A / D converter before transmitting it to the microprocessor; it measures the temperature data of the first curved block using a temperature sensor, amplifies the data using a signal amplifier processor, and then converts it to digital data using an A / D converter before transmitting it to the microprocessor; it measures the humidity data of the first curved block using a humidity sensor, amplifies the data using a signal amplifier processor, and then converts it to digital data using an A / D converter before transmitting it to the microprocessor; it measures the temperature data of the second curved block using a temperature ... a signal amplifier processor before transmitting it to the microprocessor. After amplification, the data is converted from analog to digital by an A / D converter and then transmitted to the microprocessor. The humidity data of the second curved block is measured by the humidity sensor of the second curved block, amplified by the signal amplifier processor, and then converted from analog to digital by an A / D converter before being transmitted to the microprocessor. The microprocessor receives the temperature and humidity data, processes the data, and transmits it to the central computer. The temperature and humidity monitoring software processes the data and displays the temperature and humidity curves of the curved chamber, the first curved block, and the second curved block in real time. At the same time, it stores data and sends control commands. The control commands are sent from the temperature and humidity monitoring software to the microprocessor, and then sent to the temperature control and dehumidification system. Finally, the fan, the linkage valve, the cold air switch, the cold coil, the hot air switch, the hot coil, the carbon dioxide dehumidifier, and the ultrasonic humidifier perform corresponding operations to complete the temperature and humidity control in the curved chamber. The control method includes the following steps: Step 1: Construct a fuzzy neural network based on the standard Mamdani model; The fuzzy neural network based on the standard Mamdani model includes: a front-end input layer, a fuzzification layer, a fuzzy inference layer, and a defuzzification layer, as well as a back-end input layer, a computation layer, and an output layer; Step 2: Select the control variables to input; The deviation between the actual temperature and humidity values ​​of the room and the target temperature and humidity values ​​is selected as the input of the fuzzy neural network. At the same time, the start and stop times of the actuators such as the hot air switch, cold air switch, fan, linkage air valve, carbon dioxide dehumidifier, and ultrasonic humidifier are selected as the output of the fuzzy neural network. Step 3: Formulate fuzzy reasoning rules; Based on actual needs, temperature deviation and humidity deviation are set, and fuzzy sets of temperature deviation and humidity deviation are formed. At the same time, membership functions of temperature deviation and humidity deviation are formed. The start and stop time fuzzy sets of the output of each execution device are set. Finally, a fuzzy inference rule table is established. Step 4: Optimize the network structure; In this fuzzy neural network based on the standard Mamdani model, the front-end input layer is used to input the data into the network. The fuzzification layer uses a Gaussian membership function to fuzzify the input data. The fuzzy inference layer consists of multiple neurons. The defuzzification layer is used for normalization calculation and serves as the connection weights for the back-end input layer. The output of the defuzzification layer is input into the back-end input layer. The computation layer consists of multiple neurons. The output layer is used to perform a weighted summation of the output of the defuzzification layer and the output of the computation layer. The output layer has multiple outputs, namely, hot air switch, cold air switch, fan, linkage damper, carbon dioxide dehumidifier, and ultrasonic humidifier. Step 5: Optimize network parameters; By optimizing the center value, variance, and network weights of the Gaussian membership function using an optimization algorithm, the fuzzy inference rules are continuously optimized. After the above optimization, the temperature deviation membership function and the humidity deviation membership function are obtained. Step Six: Controlling the temperature and humidity of the curing room environment; Set the initial and final temperatures of the curing room; set the initial and final humidity of the curing room, and regulate the temperature and humidity of the curing room according to the above requirements using an optimized fuzzy neural network based on the standard model Mamdani.

2. The control method of the intelligent music room control system according to claim 1, characterized in that, The intelligent music room control system also includes: an exhaust vent installed on the music room body.

3. The control method of the intelligent music room control system according to claim 1, characterized in that, The intelligent music room control system also includes a weather station; the weather station is connected to the electrical control box.

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