FFU control method and system

Abstract

The invention relates to the field of household kitchens, and discloses an FFU control method and system, the FFU control system comprises a sensor module, a control module and a communication module, the sensor module comprises a temperature sensor, a humidity sensor, a differential pressure sensor, a wind speed sensor and a particulate matter sensor, the control module comprises a central controller, a programmable logic controller, a frequency converter and an actuator, the communication module comprises wireless communication, wired communication, a communication protocol and data processing and management, and the user interface module comprises a display screen, a control panel, mobile application and remote monitoring. By monitoring and dynamically adjusting the fan speed and the air valve position in real time, the system can reduce energy consumption as much as possible on the premise of keeping cleanliness, and the frequency converter adjusts the fan speed, so that the fan speed can be flexibly adjusted when requirements change, and the problem of high energy consumption of a traditional constant-speed fan can be avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of FCC systems, and in particular to an FFU control method and system. Background Art

[0002] FFU (fan filter unit) is an efficient, flexible and energy-saving air purification equipment, widely used in clean rooms, laboratories, production workshops and medical environments that require high cleanliness. Through efficient filtration and intelligent control, FFU ensures air quality and provides reliable protection for various high-cleanliness environments.

[0003] Traditional FFC systems usually use fixed-speed fans to operate, and it is difficult to dynamically adjust the fan speed according to changes in demand, which will lead to high energy consumption. In addition, traditional systems lack real-time monitoring and dynamic adjustment functions and cannot quickly respond to changes in air quality, which will affect the air quality of the clean room. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a FFU control method and system, which solves the problems of high energy consumption and inability to quickly respond to changes in air quality in traditional FFC systems.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: an FFU control system, including a sensor module, a control module, and a communication module. The sensor module includes a temperature sensor, a humidity sensor, a differential pressure sensor, a wind speed sensor, and a particle sensor. The control module includes a central controller, a programmable logic controller, a frequency converter, and an actuator. The communication module includes wireless communication, wired communication, communication protocol, data processing and management. The user interface module includes a display screen and a control panel, a mobile application, and remote monitoring. The temperature sensor is used to monitor the ambient temperature and provide real-time data for adjusting the operating status of the FFU to ensure that the temperature in the clean room is within a set range. The temperature sensor uses an NTC thermistor, a PTC thermistor, or a digital temperature sensor. The accuracy of the temperature sensor is within ±0.5°C to ensure the accuracy of temperature monitoring. The temperature sensor collects temperature data once a minute and transmits it to the central controller.

[0006] Preferably, the humidity sensor is used to monitor the ambient humidity and provide real-time data to the control system to ensure that the humidity in the clean room is within the control range to avoid the impact of excessive or low humidity on the environment. The humidity sensor selects a capacitive humidity sensor or a resistive humidity sensor. The accuracy of the humidity sensor is within ±3%RH to ensure the accuracy of humidity monitoring. The humidity sensor collects humidity data every 5 minutes and transmits it to the central control. The differential pressure sensor is used to monitor the pressure difference before and after the FFU, judge the status of the filter to determine whether the filter needs maintenance or replacement, and ensure the efficient operation of the filter. The differential pressure sensor selects a capacitive differential pressure sensor or a resistive differential pressure sensor. The accuracy of the differential pressure sensor is within ±1% to ensure the accuracy of differential pressure monitoring. The differential pressure sensor collects differential pressure data every 5 minutes and transmits it to the central control. Central controller, the wind speed sensor is used to monitor the air outlet speed of the FFU to ensure that the air volume of the FFU meets the design requirements to ensure the air circulation and cleanliness of the clean room. The wind speed sensor selects a thermal wind speed sensor or an impeller wind speed sensor. The accuracy of the wind speed sensor is within ±5% to ensure the accuracy of wind speed monitoring. The wind speed sensor monitors the wind speed data in real time and transmits it to the central controller. The particle sensor is used to monitor the particle concentration in the air in the clean room to ensure that the air quality meets the set standards and prevent particulate pollution in the air from affecting the cleanliness. The particle sensor selects a laser particle sensor or an optical particle sensor. The accuracy of the particle sensor is within ±10% to ensure the accuracy of particle concentration monitoring. The particle sensor collects particle concentration data every 10 minutes and transmits it to the central controller.

[0007] Preferably, the central controller is the brain of the system, responsible for aggregating and processing all sensor data, executing preset control algorithms, and adjusting the operating status of the FFU according to the calculation results. The central controller selects an industrial PC or a dedicated embedded controller. The central controller adopts a high-performance multi-core CPU to ensure rapid processing of large amounts of data. The RAM is at least 4GB to process real-time data and execute complex control algorithms. It is equipped with a large-capacity storage device SSD or HDD for storing system operation data and logs, running a real-time operating system RTOS or a customized L i nux system to ensure the real-time and stability of the system. It uses multiple I / O interfaces USB, Ethernet, RS232 / RS485 for connecting sensors and actuators, built-in PID control and fuzzy control to ensure efficient operation and energy-saving optimization of the FFU, real-time processing of data from each sensor, necessary data filtering and correction, ensuring data accuracy and reliability, real-time monitoring of system status, timely alarm when abnormalities are found, and logs for subsequent analysis.

[0008] Preferably, the programmable logic controller PLC is used to implement the logical control of the system, ensure the coordinated work of each module, and provide redundant control functions to improve the reliability of the system. The programmable logic controller PLC is configured with sufficient digital and analog I / O modules according to system requirements to connect sensors, actuators and other control devices. The programmable logic controller PLC supports multiple communication protocols Modbus, Profibus, Ethernet / IP, and is used to exchange data with the central controller and other devices. The programmable logic controller is programmed using ladder diagrams and structured text programming languages ​​that comply with the IEC61131-3 standard to achieve flexible control logic and function expansion. The control program written according to system requirements ensures the coordinated work and redundant control of each module, collects sensor data in real time, performs preliminary processing and filtering, and transmits the data to the central controller.

[0009] Preferably, the frequency converter is used to adjust the operating speed of the FFU fan to achieve precise air volume control and energy-saving operation. A suitable frequency converter is selected according to the power requirement of the FFU fan to ensure that the frequency converter can provide sufficient output power. The frequency converter supports multiple control modes - V / F control, vector control, to adapt to different application scenarios. The frequency converter has built-in overload protection, short circuit protection, overvoltage protection and multiple protection functions to ensure the safety and reliability of system operation. The frequency converter adjusts the operating speed of the fan in real time according to the instructions of the central controller to ensure precise control of air volume and pressure.

[0010] Preferably, the actuator is used to adjust the air valve, control the air flow and the operating status of the FFU. The appropriate actuator is selected according to the specifications of the air valve to ensure that the actuator can provide sufficient torque and response speed. The actuator supports a variety of control signals - 0-10V, 4-20mA, digital signals, to meet different control requirements. The actuator has a built-in position feedback function to monitor the working status of the actuator in real time to ensure the accuracy and reliability of the control. According to the instructions of the central controller, the position of the air valve is adjusted in real time to control the air flow and pressure.

[0011] Preferably, the wireless communication is used to realize data transmission between the sensor and the central controller, PLC and other control devices, providing flexible installation and layout. The wireless communication technology adopts Wi-Fi i. ZigBee, LoRa. Wireless access points (AP) are configured with an appropriate number of wireless access points according to the building structure and signal coverage to ensure comprehensive coverage of wireless signals. Wireless communication modules are integrated in sensors and control devices to support corresponding wireless communication protocols. Repeaters are configured in areas with weak signals to enhance wireless signal strength and ensure the stability and reliability of data transmission. Encrypted transmission protocols WPA2 and AES encryption are supported to ensure the security of data transmission and prevent data leakage and illegal access. The wired communication module is used to achieve reliable data transmission between various parts of the system, connect various parts of the system, and ensure reliable data transmission. The wired communication protocol uses Modbus, RS485, and Ethernet. According to the system scale and distance, appropriate wired communication lines - shielded twisted pair and optical fiber are selected to ensure high efficiency and stability of data transmission. Wired communication interface modules are configured in sensors, controllers, and actuators to support corresponding wired communication protocols. In situations where data exchange between different communication protocols is required, communication converters are configured to achieve data intercommunication between different protocols. Shielded lines and anti-interference design are used to ensure data transmission stability in electromagnetic interference environments.

[0012] Preferably, the communication module supports multiple communication protocols to meet the needs of different devices and systems and ensure the compatibility and interoperability of data transmission. Modbus is a commonly used industrial communication protocol that supports serial and Ethernet communications and is suitable for data transmission between sensors, PLCs and central controllers. RS485 is a differential signal transmission standard that is suitable for data transmission over long distances and in high-interference environments and is commonly used for communication between sensors and actuators. Ethernet / IP is an Ethernet-based industrial communication protocol that supports high-speed data transmission and real-time control and is suitable for data exchange between central controllers and other control devices. BACnet is a communication protocol for building automation and control networks that supports multiple physical layers and data link layers and is suitable for integration of FFU control systems with building management systems.

[0013] Preferably, the data processing and management performs data CRC check during data transmission to ensure data integrity and accuracy. During data transmission, a cache mechanism is used to temporarily store data to cope with network delays and transmission interruptions, improve data transmission reliability, and achieve data synchronization between multiple devices to ensure data consistency and real-time performance of various parts of the system.

[0014] Preferably, a FFU control method comprises the following specific steps:

[0015] S1: Equipment installation and initialization. Install temperature sensors in each room, corridor and key locations, at least one in each area to ensure comprehensive coverage. Install humidity sensors in each area, especially in crowded areas, at least one in each area to ensure accurate humidity data. Install differential pressure sensors at the inlet and outlet of each FFU to ensure real-time monitoring of the filter status. Install wind speed sensors at the air outlet of each FFU to ensure accurate control of wind speed. Install particle sensors in key areas of the clean room, at least one in each area to ensure air quality monitoring.

[0016] The central controller is installed in the control center or machine room, connecting all sensors and actuators to ensure the control function of the system center. According to the system scale and requirements, the appropriate PLC module is installed to ensure the flexibility and scalability of the logic control. According to the requirements of the FFU fan, the frequency converter is installed to ensure the precise control of the fan speed. The appropriate electric or pneumatic actuator is installed on the air valve and other control equipment to ensure the precise adjustment of the air flow.

[0017] Set initial operating parameters in the central controller, including target values ​​for temperature, humidity, wind speed, and particulate matter concentration, configure wireless and wired communication parameters to ensure that all devices can communicate properly, run preliminary tests, check the working status of all sensors, actuators, and control modules to ensure the normal operation of the system;

[0018] S2: System operation and monitoring. Sensors collect data such as ambient temperature, humidity, pressure difference, wind speed and particle concentration in real time and transmit them to the central controller. The central controller processes the collected data, including filtering, correction and storage, to ensure the accuracy and reliability of the data. According to real-time data, decisions are made through fuzzy logic to dynamically adjust the FFU operating parameters, accurately control the operating speed of the FFU fan, and keep the wind speed and pressure difference within the set range. According to real-time monitoring data and control algorithm results, the air valve position and fan speed are dynamically adjusted to ensure the air quality and circulation in the clean room. The system automatically runs according to the preset control algorithm and real-time data to ensure the best air quality and energy saving effect. Users can manually adjust the operating parameters through the control panel or remote monitoring system. When there are fewer people or no one is around, the system automatically reduces the operating load of the fan and air valve.

[0019] The present invention provides a FFU control method and system, which have the following beneficial effects:

[0020] 1. The present invention monitors and dynamically adjusts the fan speed and air valve position in real time. The system can minimize energy consumption while maintaining cleanliness. The frequency converter adjusts the fan speed so that it can be flexibly adjusted when demand changes, thereby avoiding the high energy consumption problem of traditional constant speed fans.

[0021] 2. The present invention monitors environmental parameters in real time through temperature, humidity, pressure difference, wind speed and particle matter sensors to ensure that the air quality always meets the standard. The operating status of the fan and the air valve is adjusted according to the real-time data to ensure that the concentration of particulate matter in the air remains within the set range. The pressure difference sensor monitors the status of the filter to ensure timely replacement or cleaning of the filter to ensure filtration efficiency. The wind speed sensor and air valve control ensure air circulation in the clean room, thereby avoiding air dead corners and pollution accumulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a schematic diagram of the FFU control system architecture of the present invention;

[0023] Figure 2 It is a schematic diagram of the sensor module architecture of the present invention;

[0024] Figure 3 It is a schematic diagram of the control module architecture of the present invention;

[0025] Figure 4 It is a schematic diagram of the communication module architecture of the present invention;

[0026] Figure 5 It is a schematic diagram of the communication protocol architecture of the present invention;

[0027] Figure 6 It is a schematic diagram of the method flow of the present invention. DETAILED DESCRIPTION

[0028] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0029] Embodiment 1:

[0030] Please see attached Figure 1 - Attachment Figure 6The embodiment of the present invention provides an FFU control system, including a sensor module, a control module, and a communication module. The sensor module includes a temperature sensor, a humidity sensor, a differential pressure sensor, a wind speed sensor, and a particle sensor. The control module includes a central controller, a programmable logic controller, a frequency converter, and an actuator. The communication module includes wireless communication, wired communication, a communication protocol, and data processing and management. The user interface module includes a display screen and a control panel, a mobile application, and remote monitoring. The temperature sensor is used to monitor the ambient temperature and provide real-time data for adjusting the operating state of the FFU to ensure that the temperature in the clean room is within a set range. The temperature sensor uses an NTC thermistor, a PTC thermistor, or a digital temperature sensor. The accuracy of the temperature sensor is within ±0.5°C to ensure the accuracy of temperature monitoring. The temperature sensor collects temperature data once a minute and transmits it to the central controller.

[0031] The humidity sensor is used to monitor the ambient humidity and provide real-time data to the control system to ensure that the humidity in the clean room is within the control range to avoid the impact of excessive or low humidity on the environment. The humidity sensor selects a capacitive humidity sensor or a resistive humidity sensor. The accuracy of the humidity sensor is within ±3% RH to ensure the accuracy of humidity monitoring. The humidity sensor collects humidity data every 5 minutes and transmits it to the central control. The differential pressure sensor is used to monitor the pressure difference before and after the FFU and judge the status of the filter to determine whether maintenance or replacement of the filter is required to ensure the efficient operation of the filter. The differential pressure sensor selects a capacitive differential pressure sensor or a resistive differential pressure sensor. The accuracy of the differential pressure sensor is within ±1% to ensure the accuracy of differential pressure monitoring. The differential pressure sensor collects differential pressure data every 5 minutes and transmits it to the central control. The wind speed sensor is used to monitor the air outlet speed of the FFU to ensure that the air volume of the FFU meets the design requirements to ensure the air circulation and cleanliness of the clean room. The wind speed sensor selects a thermal wind speed sensor or a impeller wind speed sensor. The accuracy of the wind speed sensor is within ±5% to ensure the accuracy of wind speed monitoring. The wind speed sensor monitors the wind speed data in real time and transmits it to the central controller. The particle sensor is used to monitor the particle concentration in the air in the clean room to ensure that the air quality meets the set standards and prevent particulate pollution in the air from affecting the cleanliness. The particle sensor selects a laser particle sensor or an optical particle sensor. The accuracy of the particle sensor is within ±10% to ensure the accuracy of particle concentration monitoring. The particle sensor collects particle concentration data every 10 minutes and transmits it to the central controller.

[0032] The central controller is the brain of the system, responsible for summarizing and processing all sensor data, executing preset control algorithms, and adjusting the operating status of FFU according to the calculation results. The central controller selects industrial PC or dedicated embedded controller. The central controller adopts high-performance multi-core CPU to ensure fast processing of large amounts of data. RAM is at least 4GB to process real-time data and execute complex control algorithms. It is equipped with large-capacity storage devices SSD or HDD to store system operation data and logs. It runs a real-time operating system RTOS or a customized Li nux system to ensure the real-time and stability of the system. It uses multiple I / O interfaces USB, Ethernet, RS232 / RS485 to connect sensors and actuators. It has built-in PID control and fuzzy control to ensure efficient operation and energy-saving optimization of FFU. It processes data from various sensors in real time, performs necessary data filtering and correction, ensures data accuracy and reliability, monitors system status in real time, issues alarms in time when abnormalities are found, and records logs for subsequent analysis.

[0033] The programmable logic controller (PLC) is used to realize the logical control of the system, ensure the coordinated work of each module, and provide redundant control function to improve the reliability of the system. The programmable logic controller (PLC) is configured with sufficient digital and analog I / O modules according to system requirements to connect sensors, actuators and other control devices. The programmable logic controller (PLC) supports multiple communication protocols such as Modbus, Profibus, and Ethernet / IP for data exchange with the central controller and other devices. The programmable logic controller is programmed using ladder diagrams and structured text programming languages ​​that comply with the IEC61131-3 standard to achieve flexible control logic and function expansion. The control program written according to system requirements ensures the coordinated work and redundant control of each module, collects sensor data in real time, performs preliminary processing and filtering, and transmits the data to the central controller.

[0034] The inverter is used to adjust the operating speed of the FFU fan to achieve precise air volume control and energy-saving operation. Select a suitable inverter according to the power requirement of the FFU fan to ensure that the inverter can provide sufficient output power. The inverter supports multiple control modes - V / F control, vector control, to adapt to different application scenarios. The inverter has built-in overload protection, short circuit protection, overvoltage protection and other protection functions to ensure the safety and reliability of system operation. The inverter adjusts the operating speed of the fan in real time according to the instructions of the central controller to ensure precise control of air volume and pressure.

[0035] The actuator is used to adjust the air valve, control the air flow and the operating status of the FFU. Select the appropriate actuator according to the specifications of the air valve to ensure that the actuator can provide sufficient torque and response speed. The actuator supports a variety of control signals - 0-10V, 4-20mA, digital signal to meet different control requirements. The actuator has a built-in position feedback function to monitor the working status of the actuator in real time to ensure the accuracy and reliability of the control. According to the instructions of the central controller, the position of the air valve is adjusted in real time to control the air flow and pressure.

[0036] Wireless communication is used to realize data transmission between sensors and central controllers, PLC and other control devices, providing flexible installation and layout. Wireless communication technology uses Wi-Fi i. ZigBee, LoRa. Wireless access points (AP) are configured with an appropriate number of wireless access points according to the building structure and signal coverage to ensure comprehensive coverage of wireless signals. Wireless communication modules are integrated in sensors and control devices to support corresponding wireless communication protocols. Repeaters are configured in areas with weak signals to enhance wireless signal strength and ensure the stability and reliability of data transmission. Encrypted transmission protocols WPA2 and AES encryption are supported to ensure the security of data transmission and prevent data leakage and illegal access. Wired communication modules are used to achieve reliable data transmission in various parts of the system and connect various parts of the system to ensure reliable data transmission. Wired communication protocols use Modbus, RS485, and Ethernet. According to the scale and distance of the system, appropriate wired communication lines - shielded twisted pair and optical fiber are selected to ensure efficient and stable data transmission. Wired communication interface modules are configured in sensors, controllers, and actuators to support corresponding wired communication protocols. In situations where data exchange between different communication protocols is required, communication converters are configured to achieve data intercommunication between different protocols. Shielded lines and anti-interference design are used to ensure data transmission stability in electromagnetic interference environments.

[0037] The communication module supports multiple communication protocols to meet the needs of different devices and systems and ensure the compatibility and interoperability of data transmission. Modbus is a commonly used industrial communication protocol that supports serial and Ethernet communications and is suitable for data transmission between sensors, PLCs and central controllers. RS485 is a differential signal transmission standard that is suitable for data transmission over long distances and in high-interference environments and is commonly used for communication between sensors and actuators. Ethernet / IP is an Ethernet-based industrial communication protocol that supports high-speed data transmission and real-time control and is suitable for data exchange between central controllers and other control devices. BACnet is a communication protocol for building automation and control networks that supports multiple physical layers and data link layers and is suitable for the integration of FFU control systems with building management systems.

[0038] Data processing and management During the data transmission process, data CRC check is performed to ensure the integrity and accuracy of the data. During the data transmission process, a cache mechanism is used to temporarily store data to cope with network delays and transmission interruptions, improve the reliability of data transmission, and achieve data synchronization between multiple devices to ensure data consistency and real-time performance of various parts of the system.

[0039] A FFU control method comprises the following specific steps:

[0040] S1: Equipment installation and initialization. Install temperature sensors in each room, corridor and key locations, at least one in each area to ensure comprehensive coverage. Install humidity sensors in each area, especially in crowded areas, at least one in each area to ensure accurate humidity data. Install differential pressure sensors at the inlet and outlet of each FFU to ensure real-time monitoring of the filter status. Install wind speed sensors at the air outlet of each FFU to ensure accurate control of wind speed. Install particle sensors in key areas of the clean room, at least one in each area to ensure air quality monitoring.

[0041] The central controller is installed in the control center or machine room, connecting all sensors and actuators to ensure the control function of the system center. According to the system scale and requirements, the appropriate PLC module is installed to ensure the flexibility and scalability of the logic control. According to the requirements of the FFU fan, the frequency converter is installed to ensure the precise control of the fan speed. The appropriate electric or pneumatic actuator is installed on the air valve and other control equipment to ensure the precise adjustment of the air flow.

[0042] Set initial operating parameters in the central controller, including target values ​​for temperature, humidity, wind speed, and particulate matter concentration, configure wireless and wired communication parameters to ensure that all devices can communicate properly, run preliminary tests, check the working status of all sensors, actuators, and control modules to ensure the normal operation of the system;

[0043] S2: System operation and monitoring. Sensors collect data such as ambient temperature, humidity, pressure difference, wind speed and particle concentration in real time and transmit them to the central controller. The central controller processes the collected data, including filtering, correction and storage, to ensure the accuracy and reliability of the data. According to real-time data, decisions are made through fuzzy logic to dynamically adjust the FFU operating parameters, accurately control the operating speed of the FFU fan, and keep the wind speed and pressure difference within the set range. According to real-time monitoring data and control algorithm results, the air valve position and fan speed are dynamically adjusted to ensure the air quality and circulation in the clean room. The system automatically runs according to the preset control algorithm and real-time data to ensure the best air quality and energy saving effect. Users can manually adjust the operating parameters through the control panel or remote monitoring system. When there are fewer people or no one is around, the system automatically reduces the operating load of the fan and air valve.

[0044] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A FFU control system, comprising a sensor module, a control module, and a communication module, characterized in that: The sensor module includes a temperature sensor, a humidity sensor, a differential pressure sensor, a wind speed sensor, and a particle sensor. The control module includes a central controller, a programmable logic controller, a frequency converter, and an actuator. The communication module includes wireless communication, wired communication, communication protocol, and data processing and management. The temperature sensor is used to monitor the ambient temperature and provide real-time data for adjusting the operating status of the FFU to ensure that the temperature in the clean room is within a set range. The temperature sensor uses an NTC thermistor, a PTC thermistor, or a digital temperature sensor. The accuracy of the temperature sensor is within ±0.5°C to ensure the accuracy of temperature monitoring. The temperature sensor collects temperature data once a minute and transmits it to the central controller.

2. A FFU control system according to claim 1, characterized in that: The humidity sensor is used to monitor the ambient humidity and provide real-time data to the control system to ensure that the humidity in the clean room is within the control range to avoid the impact of excessive or low humidity on the environment. The humidity sensor selects a capacitive humidity sensor or a resistive humidity sensor. The accuracy of the humidity sensor is within ±3% RH to ensure the accuracy of humidity monitoring. The humidity sensor collects humidity data every 5 minutes and transmits it to the central control. The differential pressure sensor is used to monitor the pressure difference before and after the FFU, judge the status of the filter to determine whether maintenance or replacement of the filter is required, and ensure the efficient operation of the filter. The differential pressure sensor selects a capacitive differential pressure sensor or a resistive differential pressure sensor. The accuracy of the differential pressure sensor is within ±1% to ensure the accuracy of differential pressure monitoring. The differential pressure sensor collects differential pressure data every 5 minutes and transmits it to the central control. The wind speed sensor is used to monitor the air outlet speed of the FFU to ensure that the air volume of the FFU meets the design requirements to ensure the air circulation and cleanliness of the clean room. The wind speed sensor selects a thermal wind speed sensor or a impeller wind speed sensor. The accuracy of the wind speed sensor is within ±5% to ensure the accuracy of wind speed monitoring. The wind speed sensor monitors the wind speed data in real time and transmits it to the central controller. The particle sensor is used to monitor the particle concentration in the air in the clean room to ensure that the air quality meets the set standards and prevent particulate pollution in the air from affecting the cleanliness. The particle sensor selects a laser particle sensor or an optical particle sensor. The accuracy of the particle sensor is within ±10% to ensure the accuracy of particle concentration monitoring. The particle sensor collects particle concentration data every 10 minutes and transmits it to the central controller.

3. A FFU control system according to claim 1, characterized in that: The central controller is the brain of the system, responsible for summarizing and processing all sensor data, executing preset control algorithms, and adjusting the operating status of FFU according to the calculation results. The central controller selects an industrial PC or a dedicated embedded controller. The central controller adopts a high-performance multi-core CPU to ensure the rapid processing of large amounts of data. The RAM is at least 4GB to process real-time data and execute complex control algorithms. It is equipped with a large-capacity storage device SSD or HDD to store system operation data and logs. It runs a real-time operating system RTOS or a customized Linux system to ensure the real-time and stability of the system. It uses multiple I / O interfaces USB, Ethernet, RS232 / RS485 to connect sensors and actuators. It has built-in PID control and fuzzy control to ensure the efficient operation and energy-saving optimization of FFU, real-time processing of data from each sensor, necessary data filtering and correction, to ensure the accuracy and reliability of the data, real-time monitoring of the system status, timely alarm when abnormalities are found, and record logs for subsequent analysis.

4. A FFU control system according to claim 1, characterized in that: The programmable logic controller PLC is used to realize the logical control of the system, ensure the coordinated work of each module, and provide redundant control function to improve the reliability of the system. The programmable logic controller PLC is configured with sufficient digital and analog I / O modules according to system requirements to connect sensors, actuators and other control devices. The programmable logic controller PLC supports multiple communication protocols Modbus, Profibus, Ethernet / IP, and is used to exchange data with the central controller and other devices. The programmable logic controller is programmed using the programming language ladder diagram and structured text that comply with the IEC61131-3 standard to achieve flexible control logic and function expansion. The control program written according to system requirements ensures the coordinated work and redundant control of each module, collects sensor data in real time, performs preliminary processing and filtering, and transmits the data to the central controller.

5. A FFU control system according to claim 1, characterized in that: The inverter is used to adjust the operating speed of the FFU fan to achieve precise air volume control and energy-saving operation. A suitable inverter is selected according to the power requirement of the FFU fan to ensure that the inverter can provide sufficient output power. The inverter supports multiple control modes - V / F control, vector control, to adapt to different application scenarios. The inverter has built-in overload protection, short circuit protection, overvoltage protection and other protection functions to ensure the safety and reliability of system operation. The inverter adjusts the operating speed of the fan in real time according to the instructions of the central controller to ensure precise control of air volume and pressure.

6. A FFU control system according to claim 1, characterized in that: The actuator is used to adjust the air valve, control the air flow and the operating status of the FFU. The appropriate actuator is selected according to the specifications of the air valve to ensure that the actuator can provide sufficient torque and response speed. The actuator supports a variety of control signals - 0-10V, 4-20mA, digital signals to adapt to different control requirements. The actuator has a built-in position feedback function to monitor the working status of the actuator in real time to ensure the accuracy and reliability of the control. According to the instructions of the central controller, the position of the air valve is adjusted in real time to control the air flow and pressure.

7. A FFU control system according to claim 1, characterized in that: The wireless communication is used to realize data transmission between sensors and central controllers, PLC and other control devices, providing flexible installation and layout. The wireless communication technology adopts Wi-Fi, ZigBee, and LoRa. The wireless access point (AP) is configured with an appropriate number of wireless access points according to the building structure and signal coverage to ensure comprehensive coverage of the wireless signal. The wireless communication module is integrated in the sensor and the control device to support the corresponding wireless communication protocol. The repeater is configured in the area with weak signal to enhance the wireless signal strength and ensure the stability and reliability of data transmission. The encryption transmission protocol WPA2 and AES encryption are supported to ensure the security of data transmission and prevent data leakage and illegal access. The wired communication module is used to achieve reliable data transmission in various parts of the system, connect various parts of the system, and ensure reliable data transmission. The wired communication protocol adopts Modbus, RS485, and Ethernet. According to the system scale and distance, select the appropriate wired communication line - shielded twisted pair, optical fiber, to ensure the efficiency and stability of data transmission. Configure the wired communication interface module in the sensor, controller and actuator equipment to support the corresponding wired communication protocol. In situations where data exchange between different communication protocols is required, configure the communication converter to achieve data intercommunication between different protocols. Use shielded lines and anti-interference design to ensure the stability of data transmission in electromagnetic interference environment.

8. The FFU control system according to claim 1, characterized in that: The communication module supports multiple communication protocols to meet the needs of different devices and systems and ensure the compatibility and interoperability of data transmission. Modbus is a commonly used industrial communication protocol that supports serial and Ethernet communications and is suitable for data transmission between sensors, PLCs and central controllers. RS485 is a differential signal transmission standard that is suitable for data transmission over long distances and in high-interference environments and is commonly used for communication between sensors and actuators. Ethernet / IP is an Ethernet-based industrial communication protocol that supports high-speed data transmission and real-time control and is suitable for data exchange between central controllers and other control devices. BACnet is a communication protocol for building automation and control networks that supports multiple physical layers and data link layers and is suitable for the integration of FFU control systems with building management systems.

9. A FFU control system according to claim 1, characterized in that: The data processing and management performs data CRC check during data transmission to ensure data integrity and accuracy. During data transmission, a cache mechanism is used to temporarily store data to cope with network delays and transmission interruptions, improve data transmission reliability, and achieve data synchronization between multiple devices to ensure data consistency and real-time performance of various parts of the system.

10. A FFU control method, according to a FFU control system according to any one of claims 1 to 9, characterized in that: The specific steps include: S1: Equipment installation and initialization. Install temperature sensors in each room, corridor and key locations, at least one in each area to ensure comprehensive coverage. Install humidity sensors in each area, especially in crowded areas, at least one in each area to ensure accurate humidity data. Install differential pressure sensors at the inlet and outlet of each FFU to ensure real-time monitoring of the filter status. Install wind speed sensors at the air outlet of each FFU to ensure accurate control of wind speed. Install particle sensors in key areas of the clean room, at least one in each area to ensure air quality monitoring. The central controller is installed in the control center or machine room, connecting all sensors and actuators to ensure the control function of the system center. According to the system scale and requirements, the appropriate PLC module is installed to ensure the flexibility and scalability of the logic control. According to the requirements of the FFU fan, the frequency converter is installed to ensure the precise control of the fan speed. The appropriate electric or pneumatic actuator is installed on the air valve and other control equipment to ensure the precise adjustment of the air flow. Set initial operating parameters in the central controller, including target values ​​for temperature, humidity, wind speed, and particulate matter concentration, configure wireless and wired communication parameters to ensure that all devices can communicate properly, run preliminary tests, check the working status of all sensors, actuators, and control modules to ensure the normal operation of the system; S2: System operation and monitoring. Sensors collect data such as ambient temperature, humidity, pressure difference, wind speed and particle concentration in real time and transmit them to the central controller. The central controller processes the collected data, including filtering, correction and storage, to ensure the accuracy and reliability of the data. According to real-time data, decisions are made through fuzzy logic to dynamically adjust the FFU operating parameters, accurately control the operating speed of the FFU fan, and keep the wind speed and pressure difference within the set range. According to real-time monitoring data and control algorithm results, the air valve position and fan speed are dynamically adjusted to ensure the air quality and circulation in the clean room. The system automatically runs according to the preset control algorithm and real-time data to ensure the best air quality and energy saving effect. Users can manually adjust the operating parameters through the control panel or remote monitoring system. When there are fewer people or no one is around, the system automatically reduces the operating load of the fan and air valve.

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