A high-efficiency clean air system control system and method

Abstract

This invention discloses a high-efficiency clean air system control system and method. It ensures system control stability through traditional PLC PID loop regulation, achieves energy-saving operation by providing recommended parameter setpoints through intelligent calculation, and guarantees user data security through localized deployment. The high-efficiency clean air system control system includes a clean air system and is characterized by further including a PLC control module. The PLC programmable controller of the control module is equipped with a PLC automatic control program for the clean air system based on PID regulation. The PLC control module exchanges data with a comprehensive server, and the comprehensive server outputs optimal control parameters to the PLC control module. The PLC control module continuously adjusts the control of the clean air system's actuators in real time to maintain a continuous match between actual operating parameters and optimal control parameters. This invention provides a locally deployed, safe, stable, intelligent, and energy-efficient clean air conditioning system control system.

Description

Technical Field

[0001] This invention relates to the field of cleanroom air conditioning system control technology, specifically to an intelligent control system and method for a cleanroom air conditioning system. Background Technology

[0002] Cleanroom air conditioning systems are crucial facilities for ensuring environmental parameters in cleanrooms. Due to their long operating hours and large air volume, cleanroom air conditioning systems have extremely high energy consumption. The air system accounts for over 45% of the energy consumption in a cleanroom air conditioning system, making it vital for the overall system's energy-efficient operation. The function of the air system in a cleanroom air conditioning system is to maintain airflow balance and pressure gradient in the clean area to preserve cleanliness and production safety. The air system mainly consists of ducts, fans (generally including supply fans and exhaust fans), and multiple air valves. Control of the cleanroom air conditioning system primarily focuses on the air system. The goal of air system control is to regulate the airflow balance and pressure gradient in the clean area by controlling the fan frequency and the opening of the air valves. Currently, air system control methods are mainly divided into the following categories, each with its own advantages and disadvantages.

[0003] The first type involves manual control of both the fan and the damper. The advantage of this method is its low implementation cost; the disadvantages are that it relies too heavily on the initial commissioning of the project, which is time-consuming and labor-intensive, makes later system maintenance difficult, and causes large fluctuations in air volume and pressure differential gradient.

[0004] The second type involves both the fan and the damper being controlled by a PLC (Programmable Logic Controller). This method ensures the accuracy and stability of on-site control parameters, and the control of a single air system branch can closely match the actual on-site conditions. However, in cleanroom scenarios with multiple rooms, the differential pressure gradient control of each room becomes interconnected. This causes the parameters of each air system branch to continuously oscillate and fluctuate during PID adjustment by the automatic system, making it impossible to stabilize the overall differential pressure gradient of the area. Only the data deviation of a few important rooms can be guaranteed to be within the allowable range. Furthermore, this control method cannot achieve energy-saving operation of the fan.

[0005] The third type involves fans controlled by a PLC (Programmable Logic Controller) system; the dampers are equipped with their own independent control devices and programs, adjusting their opening based on feedback from branch airflow and room pressure differential. This method requires electric dampers and individual damper controls or a centralized controller. The market for these dampers and control systems is monopolized by a few foreign manufacturers, resulting in high prices and implementation costs. Furthermore, this method lacks coordination between fan and damper control; often, the airflow balance and pressure differential gradient in the clean area are passively adjusted by the dampers, leading to no energy-saving operation of the entire ventilation system.

[0006] The fourth type of method differs from traditional automatic control technology. In this method, both the fans and valves are controlled by a digital intelligent system. This type of method typically digitizes the fans and valves and then implements remote intelligent control through a cloud platform. Combined with the platform's built-in energy-saving core algorithms, it can achieve energy-efficient operation of the system. However, this method has poor stability, and the actual control effect of the equipment can differ significantly from the platform's calculations. Furthermore, due to data security concerns, owners are unlikely to accept this approach.

[0007] Therefore, finding a control method for clean air conditioning systems that is convenient to implement, stable, safe, and energy-saving has great practical application value. Summary of the Invention

[0008] The purpose of this invention is to provide a locally deployable, safe, stable, intelligent, and energy-efficient cleanroom air conditioning system control system to improve the operation and management of cleanroom air systems. To achieve the above technical objective, the technical solution adopted by this invention is as follows:

[0009] A high-efficiency clean air system control system includes a clean air system, characterized in that it further includes a PLC control module. The PLC programmable controller of the PLC control module is equipped with a PLC automatic control program for the clean air system based on PID regulation. The PLC control module exchanges data with an integrated server. The integrated server outputs the optimal control parameters to the PLC control module. The PLC control module continuously adjusts and controls the actuators of the clean air system in real time to ensure that the actual operating parameters are consistently matched with the optimal control parameters.

[0010] Furthermore, the optimal control parameters include: energy-saving air volume, optimal global branch air volume, and optimal valve position.

[0011] Furthermore, the clean air system includes a wind system sensor arranged in the clean air system and a clean environment sensor arranged in the clean environment area. The PLC control module is connected to the clean air system equipment, the wind system sensor, and the clean environment sensor.

[0012] Furthermore, the integrated server is equipped with an MQTT message server, an IoT platform, and an intelligent wind system platform; the intelligent wind system platform outputs optimal control parameters.

[0013] Furthermore, it also includes a control cabinet, which is equipped with an automatic control panel, a PLC control module, a switch, and an IoT gateway.

[0014] Furthermore, the self-control panel is connected to the PLC control module via a wire for manual control of the clean air system based on the PLC self-control program;

[0015] The MQTT message server is used for message forwarding and relay between IoT gateways and IoT platforms, IoT gateways and smart wind system platforms, and IoT platforms and smart wind system platforms.

[0016] The IoT platform is used for remote display and control of data in clean environment areas and clean air systems. The display and control terminals can be handheld terminals (mainly mobile phones), digital screens, and computers that are on the same local area network. The content displayed and controlled can be synchronized with the content on the self-control screen.

[0017] The intelligent air system platform performs real-time energy-saving calculations for the clean air system and outputs intelligent control parameters. This platform can be configured and operated by computers connected to the same local area network. The intelligent air system platform mainly includes a database module, a project model module, an energy-saving algorithm module, and an intelligent control module. The database module stores digital models of various actual equipment required for system modeling, including key components of the clean air system such as fans, valves, ventilation ducts, local resistance components, and terminals, for use in matching actual site conditions during project modeling. The project model module is used for digital twin modeling of the clean air system in the field project. During the modeling process, the actual equipment on site is matched with the model in the database module to digitally reconstruct the air system for clean air system operating condition simulation calculations. The energy-saving algorithm module creates energy-saving algorithms suitable for the corresponding clean air system established in the project model module. Each project can formulate different energy-saving algorithm strategies. Under the action of the energy-saving algorithm, the digital twin model of the clean air system automatically calculates the lowest energy consumption operating parameters (frequency of each fan and opening degree of each valve) that meet the current operating conditions. The intelligent control module receives the calculation results from the energy-saving algorithm module and outputs the optimal control parameters for the clean air system. The algorithm input and operation of the intelligent wind system platform can be completed through a computer connected to the integrated server.

[0018] Furthermore, the PLC control module, IoT gateway, and integrated server are all connected to a switch via wired connections. The switch is used for data exchange between the PLC control module, IoT gateway, and integrated server. The IoT gateway enables data uplink and downlink between the PLC control module and the integrated server. Real-time data read by the PLC control module from the fan, valves, and sensors is transmitted to the relevant modules in the integrated server through the IoT gateway. Intelligent control parameters issued by the relevant modules in the integrated server are then transmitted to the PLC control module through the IoT gateway for controlling the main equipment of the air system.

[0019] Furthermore, the air system sensors include air volume and static pressure sensors respectively installed on the main pipe and branch pipes; the clean environment sensors include temperature and humidity sensors and room differential pressure sensors.

[0020] Furthermore, the key equipment in the clean air system includes fans and air valves, and each clean air system generally has multiple fans and multiple air valves.

[0021] Furthermore, the IoT platform includes a system configuration module, a configuration design module, a dashboard center, and a data analysis module;

[0022] The system configuration module is used to configure all data for the project and control system, and the data points are synchronized with the PLC control module.

[0023] The configuration design module is primarily used for designing and configuring the graphical interface of the cleanroom air system. It allows users to define and layout various entities in the system (such as zones, rooms, air systems, equipment, and sensors) and their interrelationships. The dashboard center is mainly used for real-time display and control of the system. It is a dynamic interface synchronized with the actual operating status, allowing users to monitor the system status, view real-time data, and perform control operations. After completing the system configuration design in the configuration design module, these designs are "published" to the dashboard center. The dashboard center receives these designs and displays and operates the system in real-time based on them. To ensure system consistency and accuracy, any changes or configurations made in the configuration design module are reflected in the dashboard center in real time.

[0024] The data analysis module is used for storing, recording, and analyzing the operating data of the clean air system, and the relevant data can be exported from a computer.

[0025] On-site equipment and sensor data are collected by the PLC control module, forwarded to the integrated server via the IoT gateway, processed by the MQTT message server in the integrated server, and then transmitted to the IoT platform. The IoT platform then synchronizes the data to the handheld terminal and the digital screen. On the other hand, the manual control parameter settings made on the handheld terminal and the digital screen are processed by the MQTT message server and forwarded to the IoT gateway, which then forwards them to the PLC control module as manual control parameters. The PLC control module then executes the control of the equipment in the clean air system according to the manual control parameters.

[0026] The present invention provides a high-efficiency clean air system control method, comprising the following contents:

[0027] 1) The intelligent air system platform calculates the real-time energy-saving operation parameters of the clean air system to meet the current operating conditions (temperature, humidity, air exchange rate and room pressure difference), including energy-saving air volume, optimal global branch air volume and optimal valve position.

[0028] 2) When the "energy-saving air volume" is set to the PLC control module, the "energy-saving air volume" corresponds to the optimal air volume setpoint. Then, the PLC control module adjusts the frequency of each fan according to its built-in traditional PID control program until all air volumes reach the optimal air volume setpoint under the "energy-saving air volume", and the control and adjustment of each fan is completed.

[0029] 3) The "optimal global branch air volume" and "optimal valve position" are sent to the PLC control module. The "optimal global branch air volume" corresponds to the branch air volume setpoint. All branch air valves are controlled to the opening degree given by the "optimal valve position". Then, the PLC control module performs actual adjustment control of each air valve according to its built-in traditional PID control program until the air volume of all branches reaches the branch air volume setpoint under the "optimal global branch air volume". The first stage of adjustment of each air valve control is completed.

[0030] 4) After the PID control program of the PLC control module controlling each air valve has finished running, the air volume of each branch has reached the set point, but the pressure difference between each room may still deviate from the set point. In order to accurately control the pressure difference between each room, the second stage of the PID control program of the PLC control module controlling each air valve is started. Based on the pressure difference set point of each room, the PLC control module uses its built-in traditional PID control program to adjust the opening of each air valve until the pressure difference between each room is accurately controlled and the control adjustment of each air valve is completed.

[0031] Once all fans and valves in the cleanroom system are controlled according to intelligent parameters and PID regulation using PLC, the intelligent energy-saving control of the entire cleanroom system is complete. "Energy-saving air volume" refers to the total fresh air volume, total supply air volume, total return air volume, and total exhaust air volume of the cleanroom system when meeting current operating conditions. "Optimal global branch air volume" refers to the supply air volume, return air volume, and exhaust air volume of each branch that meets the parameter control requirements (temperature, humidity, air change rate, and pressure gradient) of each room in the cleanroom system; its sum is equal to the total supply air volume, total return air volume, and total exhaust air volume. "Optimal valve position" refers to the initial opening degree of all valves on each branch that matches the "optimal global branch air volume."

[0032] After adopting the above technical solution, the present invention has the following positive effects:

[0033] (1) The entire control and data system is deployed locally and is not connected to the external network, which ensures the data security of the production enterprise.

[0034] (2) The deployment of intelligent control system greatly reduces the manpower cost of operation and maintenance on the production site, and has a better degree of air volume balance and pressure gradient maintenance compared with manual control.

[0035] (3) Compared with purely intelligent control and cloud control systems, the operation of key equipment in the wind system retains the relatively stable and reliable PLC control method, eliminating the deviation between digital intelligent control and the actual operation effect of field equipment; at the same time, the integrated intelligent and energy-saving control makes up for the shortcomings of traditional PLC control, such as the dynamic parameters never being stable and the lack of energy-saving operation effect.

[0036] (4) It solves the problem of relatively independent control of the fan and the air valve in the air system. It changes the control from the air valve to the fan to the joint control of the fan and the air valve, and improves the energy-saving effect of the system while maintaining the precise control of system parameters. Attached Figure Description

[0037] Figure 1 This is a schematic diagram of the control system of the present invention;

[0038] Figure 2 This is a schematic diagram illustrating the functions of the IoT platform of the present invention;

[0039] Figure 3 This is a functional diagram of the intelligent wind system platform of the present invention;

[0040] Figure 4 This is a flowchart of the fan control process of the present invention;

[0041] Figure 5 This is a flowchart of the air valve control process of the present invention.

[0042] Clean environment area 11; Clean air system 12; Fan 13; Air valve 14; Air system sensor 15; Clean environment sensor 16; Control cabinet 17; Automatic control panel 18; PLC control module 19; Switch 110; IoT gateway 111; Integrated server 112; MQTT message server 113; IoT platform 114; Intelligent air system platform 115; Computer 116; Digital screen 117; Handheld terminal 118; System configuration module 21; Configuration design module 22; Kanban center 23; Data analysis module 24; Database module 31; Project model module 32; Energy-saving algorithm module 33; Intelligent control module 34. Detailed Implementation

[0043] The technical solution of the present invention will be further explained below with reference to the accompanying drawings.

[0044] The purpose of this invention is to provide a locally deployable, safe, stable, intelligent, and energy-efficient cleanroom air conditioning system control system and method to improve the operation and management of cleanroom air systems. The technical solution to achieve this purpose is as follows:

[0045] The control system of the high-efficiency clean air system of this invention primarily serves the clean air system 12 in the clean environment area 11. The key equipment in the clean air system 12 is the fan 13 and the air valve 14; each air system generally has 2-3 fans and multiple air valves. The air system sensors 15 arranged in the clean air system 12 generally include airflow and static pressure sensors for the main and branch pipes. The clean environment sensors 16 arranged in the clean environment area are generally temperature, humidity, and room pressure differential sensors. The control system corresponding to the clean air system in the aforementioned clean environment area is as follows: Figure 1 As shown, it consists of a control cabinet and control and data transmission equipment arranged in it, an integrated server and key software arranged in it, and a display terminal.

[0046] The control cabinet 17 houses an automatic control panel 18, a PLC control module 19, a switch 110, and an IoT gateway 111. The PLC control module 19 is wired to the fan 13, air valve 14, air system sensor 15, and clean environment sensor 16 for data acquisition and control of the fan and air valve, as well as data acquisition of the air system and clean area. The PLC control module 19 contains a PID-based PLC automatic control program for the clean air system. The automatic control panel 18 is wired to the PLC control module 19 for manual control of the clean air system based on the PLC automatic control program. The PLC control module 19, IoT gateway 111, and integrated server 112 are all wired to the switch 110, which is used for data exchange between the PLC control module 110, IoT gateway 111, and integrated server 112. The IoT gateway 111 enables data transmission between the PLC control module 110 and the integrated server 112. Real-time data from the fan, valves, and sensors read by the PLC control module 110 are transmitted to the integrated server 112 through the IoT gateway 111. Control parameters issued by the integrated server 112 are transmitted to the PLC control module 110 through the IoT gateway 111 for the control of the air system, mainly the control of the fan and valves.

[0047] The integrated server 112 deploys an MQTT message server 113, an IoT platform 114, and an intelligent ventilation system platform 115. The MQTT message server 113 is a software system used for message forwarding and relay between the IoT gateway 111 and the IoT platform 114, between the IoT gateway 111 and the intelligent ventilation system platform 115, and between the IoT platform 114 and the intelligent ventilation system platform 115. The IoT platform 114 is used for remote display and control of the clean environment area and clean ventilation system data. The display and control terminals can be handheld terminals 118 (mainly mobile phones), digital screens (117), and computers 116, all within the same local area network. The content displayed and controlled can be synchronized with the self-control screen 18. The intelligent ventilation system platform 115 performs real-time energy-saving calculations for the clean ventilation system and outputs intelligent control parameters. This platform can be configured and operated by the computer 116 connected to the same local area network.

[0048] The functional modules of the IoT platform 114 are as follows: Figure 2 As shown, the system mainly includes a system configuration module 21, a configuration design module 22, a dashboard center 23, and a data analysis module 24. The system configuration module 21 is used to configure all data for the project and control system, with data points synchronized with the PLC control module 19. The configuration design module 22 is used for the configuration design of the clean environment (area) and clean air system, including areas, rooms, air systems, equipment, and sensors. Its content is synchronized with the automatic control panel 18, and the configured data display and control points are also synchronized with the automatic control panel 18. The configuration design is completed on a computer 116 connected to the IoT platform 114. The dashboard center 23 is used to publish the completed system configuration. System data display and control operations are completed on the corresponding interface of the dashboard center 23. The content displayed on the handheld terminal 118 and the digital screen 117 connected to the IoT platform 114 is the content of the dashboard center 23. The data analysis module 24 is used for storing, recording, and analyzing the clean air system's operating data; relevant data can be exported from the computer 116. The IoT platform 114 enables the synchronization of control and remote control and display of the on-site computer room control cabinet 17, facilitating system control and maintenance by on-site maintenance personnel and enabling owners and leaders to understand the actual on-site operation and make decisions.

[0049] The functional modules of the intelligent wind system platform 115 in this invention are as follows: Figure 3As shown, the system mainly includes a database module 31, a project model module 32, an energy-saving algorithm module 33, and an intelligent control module 34. The database module 31 stores digital models of various actual equipment required for system modeling, including key components of the clean air system such as fans, valves, ventilation ducts, local resistance components, and terminals, for use in matching actual site conditions during project modeling. The project model module 32 is used for digital twin modeling of the clean air system in the project. During the modeling process, the actual equipment on site is matched with the model in the database 31 to digitally reconstruct the air system for clean air system operating condition simulation calculations. The energy-saving algorithm module 33 is used to create energy-saving algorithms suitable for the clean air system corresponding to the clean air system established in the project model module 32. Each project can formulate different energy-saving algorithm strategies. Under the action of the energy-saving algorithm, the digital twin model of the clean air system automatically calculates the minimum energy consumption operating parameters (frequency of each fan and opening degree of each valve) that meet the current operating conditions. The intelligent control module 34 receives the calculation results from the energy-saving algorithm module 33 and uses them for intelligent energy-saving control of the clean air system. The algorithm input and operation of the intelligent air system platform 115 can be completed through a computer 116 connected to the integrated server 112.

[0050] The equipment and sensor data at the project site are collected by the PLC control module 19, forwarded to the integrated server 112 via the IoT gateway 111, processed by the MQTT message server 113 in the integrated server 112, and then transmitted to the intelligent air system platform 115. On the other hand, the intelligent control parameters issued by the intelligent air system platform 115 are first processed by the MQTT message server 113 and then forwarded to the IoT gateway 111. Subsequently, the IoT gateway 111 forwards the parameters to the PLC control module 19 as intelligent control parameters. The PLC control module 19 then executes the control of the equipment in the clean air system according to the intelligent control parameters.

[0051] The present invention provides a high-efficiency clean air system control method, comprising the following: (a combination of intelligent parameter output and PLC-based PID control loop adjustment):

[0052] The intelligent air system platform 115 calculates the real-time energy-saving operating parameters of the clean air system 12 to meet the current operating conditions (temperature, humidity, air exchange rate, and room pressure difference), including energy-saving air volume, optimal global branch air volume, and optimal valve position.

[0053] Furthermore, "energy-saving air volume" refers to the total fresh air volume, total supply air volume, total return air volume, and total exhaust air volume of the clean air system 12 to meet the current operating conditions. For example... Figure 4As shown, when the "energy-saving air volume" is set to the PLC control module 19, the "energy-saving air volume" corresponds to the optimal air volume setpoint. Then, the PLC control module 19 adjusts and controls the frequency of each fan according to its built-in traditional PID control program until all air volumes reach the optimal air volume setpoint under the "energy-saving air volume", and the control and adjustment of each fan is completed.

[0054] Furthermore, "optimal global branch air volume" refers to the supply air volume, return air volume, and exhaust air volume of each branch that meets the parameter control requirements (temperature, humidity, air change rate, and pressure gradient) of each room in the clean air system 12, and the sum of these values ​​is equal to the total supply air volume, total return air volume, and total exhaust air volume; "optimal valve position" refers to the initial opening degree of all air valves on each branch that matches the "optimal global branch air volume." For example... Figure 5 As shown, the "optimal global branch air volume" and "optimal valve position" are set to the PLC control module 19. The "optimal global branch air volume" corresponds to the branch air volume setpoint. All branch air valves are controlled to the opening degree given by the "optimal valve position". Then, the PLC control module 19 performs actual adjustment control of each air valve according to its built-in traditional PID control program until the air volume of all branches reaches the branch air volume setpoint under the "optimal global branch air volume". The first stage of adjustment of each air valve control is completed.

[0055] After the PID control program of PLC control module 19, which controls each air valve, finishes running, the airflow of each branch reaches the set point. However, the pressure difference between each room may still deviate from the set point. To accurately control the pressure difference between each room, such as... Figure 5 As shown, the second stage of the PID control program of the PLC control module 19, which controls each air valve, is started. Based on the pressure difference setpoint of each room, the PLC control module 19 uses its built-in traditional PID control program to adjust and control the opening of each air valve until the pressure difference of each room is accurately controlled and the control and adjustment of each air valve is completed.

[0056] Once all the fans and valves in the clean air system 12 are controlled according to the intelligent parameters and PID regulation using PLC, the intelligent energy-saving control and regulation of the entire clean air system is completed.

[0057] In summary, the technical solution of this invention enables localized deployment of the control and data system, ensuring the security of production enterprise data while significantly reducing on-site maintenance manpower costs and improving the maintenance of airflow balance and pressure gradient. Compared with purely intelligent and cloud-based control systems, retaining PLC control of key equipment in the air system ensures operational stability and reliability, eliminating the discrepancy between digital intelligent control and the actual operating effects of on-site equipment. Furthermore, the integrated intelligent energy-saving control strategy compensates for the shortcomings of traditional PLC control. In addition, this solution achieves joint regulation of fans and valves, replacing the previous passive valve coordination method, further improving the system's control accuracy and energy-saving effect.

Claims

1. A control method for a high-efficiency clean air system control system, characterized in that: The PLC control module has a PLC programmable controller with PID-based control program installed in it. The PLC control module exchanges data with the integrated server. The integrated server outputs the best control parameters to the PLC control module. The PLC control module will continuously adjust and control the actuators of the clean air system in real time to keep the actual operating parameters matching the best control parameters. The best control parameters include: energy-saving air volume, best global branch air volume, and best valve position. The control method includes the following steps: 1) The integrated server calculates the real-time energy-saving operation parameters of the clean air system based on the current operating conditions. These parameters include energy-saving air volume, optimal global branch air volume, and optimal valve position. 2) The calculated "energy-saving air volume" is sent to the PLC control module and matched with the optimal air volume setpoint. The PLC control module uses its internal traditional PID control program to adjust the frequency of all fans until the air volume of all fans reaches the optimal air volume setpoint corresponding to the "energy-saving air volume". 3) The "optimal global branch air volume" and "optimal valve position" are sent to the PLC control module and matched with the branch air volume setpoint. Then, the PLC control module controls all branch air valves to reach the opening degree given by the "optimal valve position" and uses its internal traditional PID control program to adjust all air valves until the air volume of all branches reaches the setpoint corresponding to the "optimal global branch air volume". 4) After completing the above-mentioned air valve control, if there is a deviation between the pressure difference of each room and the set point, the second stage of the PID control program of the PLC control module is started. Based on the pressure difference set point of each room, the PLC control module adjusts the air valve opening again.

2. The control method for a high-efficiency clean air system control system as described in claim 1, characterized in that: The integrated server is equipped with an MQTT message server, an IoT platform, and an intelligent ventilation system platform. The MQTT message server is used for message forwarding and relay between the IoT gateway and the IoT platform, between the IoT gateway and the intelligent ventilation system platform, and between the IoT platform and the intelligent ventilation system platform. The IoT platform is used for remote display and control of data in the clean environment area and the clean ventilation system. The terminals for display and control are handheld terminals, digital screens, and computers that are on the same local area network. The content displayed and controlled can be synchronized with the content on the self-control screen.

3. The control method for a high-efficiency clean air system control system as described in claim 2, characterized in that: The intelligent air system platform includes a database module, a project model module, an energy-saving algorithm module, and an intelligent control module. The database module stores digital models of various actual equipment required for system modeling, so that the project modeling can be used to match the actual site conditions. The project model module is used for digital twin modeling of the clean air system in the field project, for clean air system operating condition simulation calculations. The energy-saving algorithm module is used to create energy-saving algorithms suitable for the clean air system corresponding to the clean air system established in the project model module. Under the action of the energy-saving algorithm, the digital twin model of the clean air system automatically calculates the minimum energy consumption operating parameters that meet the current operating conditions. The intelligent control module receives the calculation results from the energy-saving algorithm module and uses them to output the optimal control parameters for the clean air system.

4. The control method for a high-efficiency clean air system control system as described in claim 3, characterized in that: It also includes a control cabinet, which is equipped with an automatic control panel, a PLC control module, a switch and an IoT gateway; the automatic control panel is connected to the PLC control module via a wire and is used for manual control of the clean air system.

5. The control method for a high-efficiency clean air system control system as described in claim 4, characterized in that: The PLC control module, IoT gateway, and integrated server are all connected to the switch via wired connections. The switch is used for data exchange between the PLC control module, IoT gateway, and integrated server. The IoT gateway enables data uplink and downlink between the PLC control module and the integrated server. The PLC control module reads real-time data from the clean air system equipment and sensors and transmits it to the integrated server through the IoT gateway. Control parameters issued by the integrated server are transmitted to the PLC control module through the IoT gateway for the control of the air system equipment.

6. The control method for a high-efficiency clean air system control system as described in claim 4, characterized in that: The IoT platform includes a system configuration module, a configuration design module, a dashboard center, and a data analysis module. The system configuration module is used to configure all data for the project and control system, and to synchronize data points with the PLC control module. The configuration design module is used to design and configure the graphical interface of the clean air system, allowing users to define and lay out various entities in the system and their interrelationships. The dashboard center is used to display and control the system in real time; it is a dynamic interface synchronized with the actual operating status, allowing users to monitor the system status, view real-time data, and perform control operations. The data analysis module is used for storing, recording, and analyzing the operating data of the clean air system.

7. A system for a control method of a high-efficiency clean air system control system as described in claim 6, characterized in that: The system includes a clean air system and a PLC control module. The PLC programmable controller of the PLC control module is equipped with a PLC automatic control program for the clean air system based on PID regulation. The PLC control module exchanges data with a comprehensive server, which outputs optimal control parameters to the PLC control module. The PLC control module continuously adjusts and controls the actuators of the clean air system in real time. The clean air system includes air system sensors arranged within the system and clean environment sensors arranged in the clean environment area. The PLC control module is connected to the clean air system equipment, the air system sensors, and the clean environment sensors. The air system sensors include airflow and static pressure sensors respectively installed on the main and branch pipes. The clean environment sensors include temperature and humidity sensors and room differential pressure sensors. The actuators of the clean air system include fans and air valves.

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