CN117433115A - High-efficiency clean air system control system and method - Google Patents
High-efficiency clean air system control system and method Download PDFInfo
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- CN117433115A CN117433115A CN202311290967.3A CN202311290967A CN117433115A CN 117433115 A CN117433115 A CN 117433115A CN 202311290967 A CN202311290967 A CN 202311290967A CN 117433115 A CN117433115 A CN 117433115A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/54—Control or safety arrangements characterised by user interfaces or communication using one central controller connected to several sub-controllers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
- F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
- F24F11/77—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity by controlling the speed of ventilators
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/20—Humidity
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/40—Pressure, e.g. wind pressure
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Abstract
The invention discloses a high-efficiency clean wind system control system and a method, wherein the stability of system control is ensured through PID loop regulation of a traditional PLC, the energy-saving operation of the system is realized through intelligent calculation to provide recommended parameter set points, and the data safety of a user is ensured through localized deployment. The utility model provides a high-efficient clean wind system control system, includes clean wind system, its characterized in that still includes PLC control module, install clean wind system PLC automatic control program based on PID regulation in the PLC programmable controller of PLC control module, PLC control module realizes data exchange with synthesizing the server, synthesize the server output best control parameter extremely PLC control module, PLC control module can real-time continuous adjustment control clean wind system's executive device for keep actual operating parameter and best control parameter match continuously. The invention provides a clean air conditioning air system control system which is deployed locally, safe, stable and intelligent and has an energy-saving effect.
Description
Technical Field
The invention relates to the technical field of control of purification air conditioning systems of clean plants, in particular to an intelligent control system and method of a purification air conditioning air system.
Background
The purifying air conditioning system is an important facility for guaranteeing environment parameters of clean plants, and has extremely high energy consumption due to long running time and large air quantity. In the purifying air conditioning system, the energy consumption of the wind system is more than 45%, which is important for the energy-saving operation of the whole system. The function of the stroke system of the purifying air conditioning system is to maintain the air quantity balance and the pressure difference gradient of the clean area so as to maintain the cleanliness and the production safety of the area. The air system mainly comprises an air pipe, a fan (generally comprising an air feeder and an exhaust fan) and a plurality of air valves. The control of the purifying air conditioning system is mainly focused on the control of the air system, and the aim of the control of the air system is to adjust the air volume balance and the pressure difference gradient of the clean area by controlling the frequency of a fan and the opening degree of an air valve. At present, the control modes of the wind system are mainly divided into the following categories, and certain advantages and defects exist.
The first is that the fan and the air valve are both manually controlled. The advantage of such methods is low implementation costs; the method has the defects of time and labor waste, difficult operation and maintenance of a later system and large fluctuation of air quantity and pressure difference gradient due to excessive dependence on the debugging in the current period.
The second type is that the fans and the air valves are controlled by an automatic control system (PLC). The method can ensure the accuracy and stability of the field control parameters, and the control of a single wind system branch can be well matched with the actual field conditions; however, when a multi-room scene exists in the clean area, the pressure difference gradient control of each room is related to each other, so that the branch parameters of each wind system continuously vibrate and fluctuate when the automatic system performs PID adjustment, the whole pressure difference gradient of the area can not be stable all the time, and only the data deviation of individual important rooms can be ensured to be in an allowable range; furthermore, the control mode cannot realize the energy-saving operation of the fan.
The third type is that the fans are controlled by an automatic control system (PLC); the air valve is provided with self-independent control equipment and a program, and the opening degree is adjusted through feedback of the branch air quantity and the room pressure difference. In such methods, an electric damper and a damper monomer control or centralized controller are required in the project. The air valve and the control system in the market are monopolized by a few foreign manufacturers, and the air valve and the control system are high in price and high in implementation cost. On the other hand, the fan control and the air valve control of the method are not connected, so that the air quantity balance and the pressure difference gradient in a clean area are passively regulated through the air valve, and the whole air system has no energy-saving operation effect.
The fourth method is different from the traditional automatic control technology, and fans and air valves in the system are controlled by a digital intelligent system. The method generally digitizes the fan and the air valve, then carries out remote intelligent control through the cloud platform, and can realize energy-saving operation of the system by combining an energy-saving core algorithm built in the platform. However, the stability of the method is poor, the actual control effect of the equipment and the platform calculation can be greatly different, and in addition, the method is under the consideration of data security, and is also hardly accepted by owners.
Therefore, the method for controlling the clean air conditioning air system, which is convenient, stable and safe to implement and has the energy-saving effect, is found to have great practical application value.
Disclosure of Invention
The invention aims to provide a clean air conditioner air system control system which is deployed locally, safe, stable and intelligent and has an energy-saving effect, so as to improve the operation management effect of the clean air system. In order to achieve the technical purpose, the invention adopts the following technical scheme:
the utility model provides a high-efficient clean wind system control system, includes clean wind system, its characterized in that still includes PLC control module, install clean wind system PLC automatic control program based on PID regulation in the PLC programmable controller of PLC control module, PLC control module realizes data exchange with synthesizing the server, synthesize the server output best control parameter extremely PLC control module, PLC control module can real-time continuous adjustment control clean wind system's executive device for keep actual operating parameter and best control parameter match continuously.
Further, the optimal control parameters include: energy-saving air quantity, optimal global branch air quantity and optimal valve position.
Further, the clean wind system comprises a wind system sensor arranged in the clean wind system and a clean environment sensor arranged in the clean environment area, and the PLC control module is connected with clean wind system equipment, the wind system sensor and the clean environment sensor.
Further, an Mqtt message server, an Internet of things platform and an intelligent wind system platform are deployed in the comprehensive server; the intelligent wind system platform outputs the optimal control parameters.
Further, the intelligent control system further comprises a control cabinet, wherein an automatic control screen, a PLC control module, a switch and an internet of things gateway are installed in the control cabinet.
Further, the self-control screen is connected to the PLC control module through a wire and is used for manually controlling the clean air system based on a PLC self-control program;
the Mqtt message server is used for message forwarding and transferring among an Internet of things gateway and an Internet of things platform, an Internet of things gateway and an intelligent wind system platform, and an Internet of things platform and an intelligent wind system platform;
the Internet of things platform is used for remote data display and control of a clean environment area and a clean air system, the display and control terminal can be a handheld terminal (mainly a mobile phone), a digital large screen and a computer which are in the same local area network, and the display and control content of the Internet of things platform can be synchronous with that of the self-control screen.
The intelligent wind system platform has the function of carrying out real-time energy-saving calculation on the clean wind system and outputting intelligent control parameters, and can be set and operated by a computer connected to the same local area network. The intelligent wind system platform mainly comprises a database module, a project model module, an energy-saving algorithm module and an intelligent control module. The database module is used for storing a digital model of various actual devices required by system modeling, and comprises various fans, air valves, ventilating ducts, local resistance components, tail ends and other key parts of the clean air system so as to be used for project modeling to match with actual conditions of a site; the project model module is used for digital twin modeling of the clean wind system in the field project, in the modeling process, the field actual equipment is matched with the model in the database module, and the digital restored wind system is used for the working condition simulation calculation of the clean wind system; the energy-saving algorithm module is used for creating an energy-saving algorithm suitable for the clean wind system correspondingly built in the project model module, each project can formulate different energy-saving algorithm strategies, and the digital twin model of the clean wind system automatically calculates the lowest energy consumption operation parameters (the frequency of each fan and the opening degree of the air valve) meeting the current working condition requirements under the action of the energy-saving algorithm; the intelligent control module receives the calculation result of the energy-saving algorithm module and is used for outputting the optimal control parameters of the clean wind system. The algorithm input and operation of the intelligent wind system platform can be completed by a computer connected to the integrated server.
Further, the PLC control module, the Internet of things gateway and the comprehensive server are all connected to the switch through wires, and the switch is used for data interaction among the PLC control module, the Internet of things gateway and the comprehensive server. The internet of things gateway realizes uplink and downlink of data between the PLC control module and the comprehensive server, and real-time data of the fan, the air valve and the sensor read by the PLC control module are transmitted to related modules in the comprehensive server through the internet of things gateway; the intelligent control parameters sent by the related modules in the comprehensive server are transmitted to the PLC control module through the Internet of things gateway and used for controlling the main equipment of the wind system.
Further, the wind system sensor comprises an air quantity sensor and a static pressure sensor which are respectively arranged on the main pipe and the branch pipe; the clean environment sensor comprises a temperature and humidity sensor and a room pressure difference sensor.
Further, the key equipment in the clean air systems includes fans and air valves, and each clean air system generally has a plurality of fans and a plurality of air valves.
Further, the internet of things platform comprises a system configuration module, a configuration design module, a billboard center and a data analysis module;
the system configuration module is used for configuring all data of the project and control system, and the data points are synchronized with the PLC control module;
the configuration module is primarily used to design and configure a graphical interface for a clean wind system that allows a user to define and layout various entities (e.g., areas, rooms, wind systems, equipment, and sensors) and their interrelationships in the system. The signboard center is mainly used for a real-time display and control system, is a dynamic interface synchronous with the actual running state, and allows a user to monitor the state of the system, view real-time data and perform control operation. In the configuration module, after the user completes the configuration of the system, the design contents are "released" to the bulletin board center. The billboard center receives these design contents and performs real-time system status display and operation according to them. In order to ensure consistency and accuracy of the system, any changes or configurations made in the configuration module are reflected in real time to the signage center.
The data analysis module is used for storing, recording and analyzing the operation data of the clean wind system, and related data can be exported by a computer.
The equipment and sensor data of the project site are collected through a PLC control module and are forwarded to a comprehensive server through an Internet of things gateway, after being processed, the Mqtt message server in the comprehensive server is transmitted to an Internet of things platform, and the Internet of things platform synchronizes the data to a handheld terminal and a digital large screen; on the other hand, the hand-held terminal and the digital large screen are used for setting manual control parameters, the hand-held terminal and the digital large screen are processed through the Mqtt message server and then forwarded to the Internet of things gateway, and then forwarded to the PLC control module by the Internet of things gateway to serve as the manual control parameters, and the PLC control module performs control on equipment in the clean wind system according to the manual control parameters.
The invention relates to a control method of a high-efficiency clean wind system, which comprises the following steps:
1) The intelligent wind system platform calculates real-time energy-saving operation parameters of the clean wind system meeting the current working condition requirements (temperature and humidity, ventilation times and room pressure difference), wherein the real-time parameters comprise energy-saving wind quantity, optimal global branch wind quantity and optimal valve position.
2) The energy-saving air quantity reaches a PLC control module, the energy-saving air quantity corresponds to an optimal air quantity set point, and then the PLC control module carries out actual regulation control on the frequency of each fan according to a built-in traditional PID control program until all the air quantity reaches the optimal air quantity set point under the energy-saving air quantity, and the control and regulation of each fan are completed.
3) The PLC control module is reached under the 'best global branch air quantity' and the 'best valve site', the 'best global branch air quantity' corresponds to the branch air quantity set point, all branch air valves are controlled to the opening degree given by the 'best valve site', then the PLC control module carries out actual regulation control on each air valve according to the built-in traditional PID control program until all branch air quantities reach the branch air quantity set point under the 'best global branch air quantity', and the first stage regulation of the control of each air valve is completed.
4) After the operation of the PID control program of the PLC control module for implementing the control of each damper is completed, the air volume of each branch reaches the set point, but the pressure difference of each room may still deviate from the set point. In order to accurately control the pressure difference of each room, a PID control program second stage of a PLC control module for controlling each air valve is started, and according to the pressure difference set point of each room, the PLC control module is utilized to carry out actual adjustment control on the opening of each air valve according to the built-in traditional PID control program until the pressure difference of each room is accurately controlled, and the control and the adjustment of each air valve are completed.
After each fan and each air valve of the clean air system are given according to intelligent parameters and PID regulation control is realized by utilizing a PLC, intelligent energy-saving control regulation of the whole clean air system is completed. The energy-saving air quantity refers to the total fresh air quantity, the total air return quantity and the total air discharge quantity of the clean air system when the clean air system meets the current working condition requirement. The optimal global branch air quantity refers to the air quantity, the air return quantity and the air exhaust quantity of each branch which meet the parameter control requirements (temperature and humidity, ventilation times and pressure difference gradient) of each room of the clean air system, and the sum of the air quantity, the air return quantity and the air exhaust quantity is equal to the total air quantity, the total air return quantity and the total air exhaust quantity; the "optimal valve position" is the initial opening of all dampers on each branch that matches the "optimal global branch air volume".
After the technical scheme is adopted, the invention has the following positive effects:
(1) The whole control and data system adopts a localized deployment mode, is not connected with an external network, and ensures the data security of a production enterprise.
(2) The deployment of the intelligent control system greatly reduces the operation and maintenance labor cost of the production site, and has better maintenance degree compared with manual control of air quantity balance and pressure difference gradient.
(3) Compared with a pure intelligent control and cloud control system, the operation of key equipment of the wind system keeps a relatively stable and reliable mode of PLC control, and the deviation between the digital intelligent control and the actual operation effect of the field equipment is eliminated; meanwhile, the intelligent and energy-saving control integrated with the PLC overcomes the defects that the dynamic parameters of the traditional PLC control cannot be stable all the time and the traditional PLC control has no energy-saving operation effect.
(4) The problem that the control of the fan and the air valve in the air system is relatively independent is solved, the adjustment of the air valve in passive cooperation with the fan is changed into the joint adjustment and control of the fan and the air valve, and the energy-saving effect of the system is improved on the premise that the parameter control of the system is accurate.
Drawings
FIG. 1 is a schematic diagram of a control system of the present invention;
FIG. 2 is a functional schematic diagram of an Internet of things platform according to the present invention;
FIG. 3 is a functional schematic of the intelligent wind system platform of the present invention;
FIG. 4 is a flow chart of fan control of the present invention;
fig. 5 is a flow chart of the control of the damper according to the present invention.
A clean environment area 11; a clean wind system 12; a blower 13; a damper 14; a wind system sensor 15; a clean environment sensor 16; a control cabinet 17; a self-control screen 18; a PLC control module 19; a switch 110; an internet of things gateway 111; a comprehensive server 112; the Mqtt message server 113; an internet of things platform 114; a smart wind system platform 115; a computer 116; a digital large screen 117; a hand-held terminal 118; a system configuration module 21; a configuration module 22; a billboard center 23; a data analysis module 24; a database module 31; an item model module 32; a power saving algorithm module 33; an intelligent control module 34.
Detailed Description
The technical scheme of the invention is further explained below with reference to the accompanying drawings.
The invention aims to provide a clean air conditioner air system control system and a control method which are deployed locally, safe, stable and intelligent and have an energy-saving effect, so as to improve the operation management effect of the clean air system. The technical scheme for realizing the purpose of the invention is as follows:
the control system of the high efficiency clean air system of the present invention is mainly used for the clean air system 12 in the clean environment area 11. The key equipment in the clean wind system 12 is a fan 13 and a wind valve 14, each wind system generally has 2-3 fans and a plurality of wind valves; the wind system sensors 15 disposed in the clean wind system 12 generally include air volume and static pressure sensors of main pipes and branch pipes; the clean environment sensor 16 disposed in the clean environment zone is typically a temperature and humidity and room pressure differential sensor. The control system corresponding to the clean air system in the clean environment area is shown in fig. 1, and consists of a control cabinet, control and data transmission equipment arranged therein, an integrated server, key software arranged therein and a display terminal.
Wherein, the control cabinet 17 is internally provided with an automatic control screen 18, a PLC control module 19, a switch 110 and an Internet of things switch 111. The PLC control module 19 is connected to the fan 13, the air valve 14, the air system sensor 15 and the clean environment sensor 16 through wires and is used for data acquisition and control of the fan and the air valve and data acquisition of the air system and the clean area; the PLC control module 19 is provided with a clean air system PLC self-control program based on PID regulation. The self-control screen 18 is connected to the PLC control module 19 by a wire for manual control of the clean air system based on a PLC self-control program. The PLC control module 19, the internet of things gateway 111 and the integrated server 112 are all connected to the switch 110 through wires, and the switch 110 is used for data interaction between the PLC control module 110, the internet of things gateway 111 and the integrated server 112. The internet of things gateway 111 realizes uplink and downlink of data between the PLC control module 110 and the integrated server 112, and real-time data of the fan, the air valve and the sensor read by the PLC control module 110 is transmitted to the integrated server 112 through the internet of things gateway 111; the control parameters sent by the integrated server 112 are transmitted to the PLC control module 110 through the internet of things gateway 111, and are used for controlling the wind system, mainly controlling the fan and the air valve.
The integrated server 112 is deployed with an Mqtt message server 113, an internet of things platform 114 and an intelligent wind system platform 115. The Mqtt message server 113 is a set of software system, and is used for forwarding and transferring messages between the internet of things gateway 111 and the internet of things platform 114, between the internet of things gateway 111 and the intelligent wind system platform 115, and between the internet of things platform 114 and the intelligent wind system platform 115. The internet of things platform 114 is used for remote display and control of systems and data of clean environment areas and clean wind systems, and the display and control terminals can be a handheld terminal 118 (mainly a mobile phone), a digital large screen (117) and a computer 116 which are in the same local area network, and the display and control contents can be synchronized with the self-control screen 18. The intelligent wind system platform 115 is used for performing real-time energy-saving calculation on the clean wind system and outputting intelligent control parameters, and can be set by a computer 116 connected to the same local area network.
The functional modules of the internet of things platform 114 are shown in fig. 2, and mainly include a system configuration module 21, a configuration module 22, a billboard center 23 and a data analysis module 24. The system configuration module 21 is used for configuring all data of the project and control system, and the data points are synchronized with the PLC control module 19; the configuration module 22 is used for configuration of clean environment (area) and clean wind system, including area, room, wind system, equipment and sensor, the content of which is synchronized with the self-control screen 18, and the configured data display and control points are also synchronized with the self-control screen 18, the configuration is completed on the computer 116 connected with the internet of things platform 114; the billboard center 23 is used for publishing the designed system configuration, the data display and control operation of the system are completed on the corresponding interface of the billboard center 23, and the content displayed by the handheld terminal 118 and the digital large screen 117 connected with the internet of things platform 114 is the content of the billboard center 23; the data analysis module 24 is used for storing, recording and analyzing the operation data of the clean wind system, and the related data can be derived by the computer 116. The control and remote control and display synchronization of the field machine room control cabinet 17 is realized through the Internet of things platform 114, so that field maintenance personnel can conveniently control and maintain the system, and a homeowner can conveniently master and know the actual running condition of the field and make decisions.
The functional modules of the intelligent wind system platform 115 in the invention are shown in fig. 3, and mainly comprise 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 is used for storing a digital model of various actual devices required by modeling of the system, and comprises various fans, air valves, ventilation pipelines, local resistance components, tail ends and other key components of the clean air system, so that project modeling is matched with field actual conditions; the project model module 32 is used for digital twin modeling of the clean wind system in the field project, in the modeling process, the field actual equipment is matched with the model in the database 31, and the clean wind system is subjected to working condition simulation calculation; the energy-saving algorithm module 33 is configured to create an energy-saving algorithm suitable for the clean wind system correspondingly built in the project model module 32, each project can formulate different energy-saving algorithm strategies, and the digital twin model of the clean wind system automatically calculates the lowest energy consumption operation parameters (fan frequencies and air valve openings) meeting the current working condition requirements under the action of the energy-saving algorithm; the intelligent control module 34 receives the calculation result of the energy-saving algorithm module 33 and is used for intelligent energy-saving control of the clean wind system. The algorithmic input and operation of the smart wind system platform 115 may be accomplished by a computer 116 connected to the integrated server 112.
The equipment and sensor data of the project site are collected through the PLC control module 19 and forwarded to the comprehensive server 112 through the Internet of things gateway 111, and after being processed, the Mqtt message server 113 in the comprehensive server 112 is transmitted to the intelligent wind system platform 115; on the other hand, the intelligent control parameters of the intelligent wind system platform 115 are issued, firstly, after being processed by the Mqtt message server 113, the intelligent control parameters are forwarded to the internet of things gateway 111, and then, the intelligent control parameters are forwarded to the PLC control module 19 by the internet of things gateway 111, and the PLC control module 19 performs control on equipment in the clean wind system according to the intelligent control parameters.
The invention relates to a control method of a high-efficiency clean wind system, which comprises the following steps: (manner of intelligent parameter output combined with PLC-based PID control loop regulation):
the intelligent wind system platform 115 calculates real-time parameters of the clean wind system 12 energy-saving operation, including energy-saving wind volume, optimal global branch wind volume and optimal valve position, which meet the current working condition requirements (temperature and humidity, ventilation times and room pressure difference).
Further, "energy-saving air volume" refers to the total fresh air volume, total air return volume and total air exhaust volume of the clean air system 12 meeting the current operating condition requirements. As shown in fig. 4, the "energy-saving air volume" reaches the PLC control module 19, the "energy-saving air volume" corresponds to the optimal air volume set point, and then the PLC control module 19 performs actual adjustment control of each fan frequency according to the built-in conventional PID control program until all the air volumes reach the optimal air volume set point under the "energy-saving air volume", and the control adjustment of each fan is completed.
Further, the "optimal global branch air volume" refers to the air volume, the air return volume and the air exhaust volume of each branch which meet the parameter control requirements (temperature and humidity, ventilation times and pressure difference gradient) of each room of the clean air system 12, and each sum of the air volume, the air return volume and the air exhaust volume is equal to the total air volume, the total air return volume and the total air exhaust volume; the "optimal valve position" is the initial opening of all dampers on each branch that matches the "optimal global branch air volume". As shown in fig. 5, the PLC control module 19 is reached under the "optimal global branch air volume" and the "optimal valve site", the "optimal global branch air volume" corresponds to the branch air volume set point, all branch air valves are controlled to the opening degree given by the "optimal valve site", then the PLC control module 19 performs actual adjustment control of each air valve according to the conventional PID control program built in the PLC control module 19 until all branch air volumes reach the branch air volume set point under the "optimal global branch air volume", and the first stage adjustment of each air valve control is completed.
After the PID control program of the PLC control module 19 for realizing the control of the respective dampers is run, the air volume of the respective branches reaches the set point, but the pressure difference of the respective rooms may still deviate from the set point. In order to accurately control the differential pressure of each room, as shown in fig. 5, the second stage of the PID control program of the PLC control module 19 for controlling each air valve is started, and according to the differential pressure set point of each room, the actual adjustment control of the opening of each air valve is performed by using the PLC control module 19 according to the built-in conventional PID control program until the differential pressure of each room is accurately controlled, and the control and the adjustment of each air valve are completed.
After each fan and each air valve of the clean air system 12 are set according to intelligent parameters and PID regulation control is realized by utilizing the PLC, the intelligent energy-saving control regulation of the whole clean air system is completed.
In summary, by adopting the technical scheme of the invention, the control and data system realizes localized deployment, ensures the safety of production enterprise data, obviously reduces the labor cost of operation and maintenance of a production site, and improves the maintenance degree of air volume balance and pressure difference gradient. Compared with a pure intelligent and cloud control system, the PLC control of key equipment of the wind system is reserved, so that the running stability and reliability are ensured, the deviation between the digital intelligent control and the actual running effect of the field equipment is eliminated, and the integrated intelligent energy-saving control strategy overcomes the defects of the traditional PLC control. In addition, the scheme also realizes the joint regulation and control of the fan and the air valve, replaces the previous passive matching mode of the air valve, and further improves the control precision and the energy-saving effect of the system.
Claims (8)
1. A control method of a high-efficiency clean wind system control system is characterized by comprising the following steps of: the PLC programmable controller of the PLC control module is internally provided with a clean wind system PLC automatic control program based on PID regulation, the PLC control module and the comprehensive server realize data exchange, the comprehensive server outputs optimal control parameters to the PLC control module, the PLC control module can continuously adjust and control execution equipment of the clean wind system in real time so as to continuously keep the actual operation parameters matched with the optimal control parameters, and the optimal control parameters comprise: energy-saving air quantity, optimal global branch air quantity and optimal valve position.
2. The control method of the high-efficiency clean wind system control system according to claim 1, wherein: the method comprises the following steps:
1) The comprehensive server calculates and obtains energy-saving operation real-time parameters of the clean air system according to the current working condition requirement, wherein the parameters comprise energy-saving air quantity, optimal global branch air quantity and optimal valve position;
2) The calculated energy-saving air quantity reaches a PLC control module and is matched with an optimal air quantity set point, and the PLC control module uses a traditional PID control program in the PLC control module to carry out frequency adjustment on all fans until the air quantity of all fans reaches the optimal air quantity set point corresponding to the energy-saving air quantity;
3) The method comprises the steps that the optimal global branch air quantity and the optimal valve site reach a PLC control module and are matched with a branch air quantity set point, then the PLC control module controls all branch air valves to reach the opening degree given by the optimal valve site, and the traditional PID control program in the PLC control module is used for adjusting all air valves until all branch air quantities reach the set point corresponding to the optimal global branch air quantity;
4) After the air valve control is completed, if the pressure difference of each room deviates from the set point, the second stage control of the PID control program of the PLC control module is started, and the PLC control module adjusts the opening degree of the air valve again based on the pressure difference set point of each room.
3. The control method of the high-efficiency clean wind system control system according to claim 1, wherein: an Mqtt message server, an Internet of things platform and an intelligent wind system platform are deployed in the comprehensive server; the Mqtt message server is used for message forwarding and transfer between the Internet of things gateway and the Internet of things platform, between the Internet of things gateway and the intelligent wind system platform, and between the Internet of things platform and the intelligent wind system platform; the Internet of things platform is used for remotely displaying and controlling data of a clean environment area and a clean wind system, the terminal for displaying and controlling is a handheld terminal in the same local area network with the terminal, a digital large screen and a computer, and the content for displaying and controlling can be synchronized with the content on the automatic control screen.
4. A method of controlling a high efficiency clean wind system control system as defined in claim 3, wherein: the intelligent wind system platform comprises a database module, a project model module, an energy-saving algorithm module and an intelligent control module, wherein the database module stores digital models of various actual devices required by system modeling so as to be used for matching the project modeling with the actual conditions of the site; the project model module is used for digital twin modeling of the clean wind system in the field project and is used for working condition simulation calculation of the clean wind system; the energy-saving algorithm module is used for creating an energy-saving algorithm suitable for the clean wind system correspondingly built in the project model module, the digital twin model of the clean wind system automatically calculates the lowest energy consumption operation parameter meeting the current working condition requirement under the action of the energy-saving algorithm, and the intelligent control module receives the calculation result of the energy-saving algorithm module and is used for outputting the optimal control parameter of the clean wind system.
5. The method for controlling a high-efficiency clean wind system control system according to claim 4, wherein: the intelligent control system further comprises a control cabinet, wherein an automatic control screen, a PLC control module, a switch and an internet of things gateway are installed in the control cabinet; the automatic control screen is connected to the PLC control module through a wire and used for manually controlling the clean air system.
6. The method for controlling the high-efficiency clean wind system control system according to claim 5, wherein: the PLC control module, the Internet of things gateway and the comprehensive server are all connected to the exchanger through wires, the exchanger is used for data interaction among the PLC control module, the Internet of things gateway and the comprehensive server, the Internet of things gateway realizes data uplink and downlink between the PLC control module and the comprehensive server, and real-time data of clean wind system equipment and sensors are read by the PLC control module and are transmitted to the comprehensive server through the Internet of things gateway; and the control parameters sent out by the comprehensive server are transmitted to the PLC control module through the Internet of things gateway and are used for controlling wind system equipment.
7. The method for controlling the high-efficiency clean wind system control system according to claim 5, wherein: the Internet of things platform comprises a system configuration module, a configuration design module, a billboard center and a data analysis module; the system configuration module is used for configuring all data of the project and control system, and the data points are synchronized with the PLC control module; the configuration design module is used for designing and configuring a graphical interface of the clean wind system, allowing a user to define and layout various entities and interrelationships thereof in the system, the billboard center is used for displaying and controlling the system in real time, is a dynamic interface synchronous with the actual running state, allowing the user to monitor the state of the system, view real-time data and perform control operation, and the data analysis module is used for storing, recording and analyzing the running data of the clean wind system.
8. A system of the control method of the high efficiency clean wind system control system of claim 7, wherein: the system comprises a clean wind system and a PLC control module, wherein a PLC automatic control program of the clean wind system based on PID regulation is installed in a PLC programmable controller of the PLC control module, the PLC control module and a comprehensive server realize data exchange, the comprehensive server outputs optimal control parameters to the PLC control module, the PLC control module can continuously adjust and control execution equipment of the clean wind system in real time, the clean wind system comprises wind system sensors arranged in the clean wind system and clean environment sensors arranged in a clean environment area, the PLC control module is connected with clean wind system equipment, the wind system sensors and the clean environment sensors, and the wind system sensors comprise air quantity and static pressure sensors respectively arranged on a main pipe and a branch pipe; the clean environment sensor comprises a temperature and humidity sensor and a room pressure difference sensor, and the execution equipment of the clean wind system comprises a fan and a wind valve.
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