CN112361530B - High-precision environment intelligent control system and control method based on load prediction - Google Patents
High-precision environment intelligent control system and control method based on load prediction Download PDFInfo
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- CN112361530B CN112361530B CN202011116193.9A CN202011116193A CN112361530B CN 112361530 B CN112361530 B CN 112361530B CN 202011116193 A CN202011116193 A CN 202011116193A CN 112361530 B CN112361530 B CN 112361530B
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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
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/32—Responding to malfunctions or emergencies
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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
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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
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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
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
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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
- F24F11/88—Electrical aspects, e.g. circuits
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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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Abstract
The invention discloses a high-precision environment intelligent control system based on load prediction, which belongs to the technical field of intelligent equipment and comprises an air conditioner, wherein a fresh air end of the air conditioner is respectively provided with a fresh air valve and a fresh air temperature and humidity sensor, the fresh air valve is positioned at one side of the fresh air temperature and humidity sensor, which is close to the air conditioner, a return air end of the air conditioner is respectively provided with a return air temperature and humidity sensor and a return air valve, the return air valve is positioned at one side of the return air temperature and humidity sensor, which is close to the air conditioner, and a surface cooling control unit is arranged in the air conditioner and between an air inlet and an air outlet; the invention also discloses a control method of the high-precision environment intelligent control system based on load prediction, which combines the heating ventilation air conditioning theory and the automation technology, accurately calculates the indoor heat and humidity load, accurately calculates the air supply heat and humidity load, and accurately calculates the required air supply load, thereby regulating the action of each heat and humidity execution unit and adjusting the output quantity in time.
Description
Technical Field
The invention belongs to the technical field of intelligent equipment, and particularly relates to a high-precision environment intelligent control system and a control method based on load prediction.
Background
The research on the projects in many high-tech laboratories is dedicated to the important requirements of the development of the national strategic novel industry and the scientific research of the national core technology, and has great significance. In order to meet the operation requirement of test equipment and achieve an ideal test effect, the temperature and humidity precision is required to be very high, and the fresh air volume ratio is very large.
In the control trade of leading to at present, to the new trend and account for than big, the high condition of required precision, generally will design to use water as cold source and heat source, increase the preliminary treatment section, when the wet demand of heat is little, rely on the cold water valve hot water valve of fine adjustment, reach the control target, but the reality is that many labs do not possess frozen water and hot water on the scene, can only use the cold and hot equipment that uses electricity as the energy.
Disclosure of Invention
To solve the problems set forth in the background art described above. The invention provides a high-precision environment intelligent control system based on load prediction, which has the characteristics of automatic adjustment of constant temperature and constant humidity, high precision, quick response, stable control and the like.
The invention also aims to provide a control method of the high-precision environment intelligent control system based on load prediction.
In order to achieve the purpose, the invention provides the following technical scheme: a high-precision environment intelligent control system based on load prediction comprises an air conditioner, wherein a fresh air valve and a fresh air temperature and humidity sensor are respectively arranged at a fresh air end of the air conditioner, the fresh air valve is positioned at one side, close to the air conditioner, of the fresh air temperature and humidity sensor, a return air temperature and humidity sensor and a return air valve are respectively arranged at a return air end of the air conditioner, the return air valve is positioned at one side, close to the air conditioner, of the return air temperature and humidity sensor, a surface cooling control unit is arranged inside the air conditioner and between an air inlet and an air outlet, a surface cooling rear temperature sensor is arranged inside the air conditioner and at an air outlet end of the surface cooling control unit, a silicon controlled electric heating device is arranged inside the air conditioner and at one side, far away from the surface cooling rear temperature sensor, of the silicon controlled electric heating device, a humidification front temperature and humidity sensor is arranged inside the air conditioner and at one side, far away from the surface cooling rear temperature sensor, of the silicon controlled electric heating device, the utility model discloses a humidifier, including air conditioner, temperature and humidity sensor, controllable silicon electric heater, air supply end, air supply valve, control module, communication module, air outlet, air inlet side, air outlet side, air supply end, air supply valve and air supply temperature and humidity sensor, the inside of air conditioner just is located one side that temperature and humidity sensor kept away from before the humidification was provided with electric heat humidifier device, the inside of air conditioner just is located the air outlet position and is provided with the fan, the air inlet side of fan is towards the air intake of air conditioner, the air outlet side of fan is towards the air outlet of air conditioner, the air supply end of air conditioner is provided with air supply valve and air supply temperature and humidity sensor respectively, the air supply valve is located one side that air supply temperature and humidity sensor is close to the air conditioner, one side of air conditioner is provided with control module, control module's inside is provided with communication module, control module's top is provided with the cloud ware, communication module is connected with the cloud ware.
Further, the fan is provided with a frequency converter.
Further, in the present invention, a fault unit is disposed on one side of the control module, and a fault indication unit is disposed on the other side of the control module.
Furthermore, the control module is provided with a communication interface, and the surface cooling control unit, the surface cooling rear temperature sensor, the silicon controlled electric heating device, the humidification front temperature and humidity sensor, the electric heating humidifier device, the fan, the air supply valve, the air supply temperature and humidity sensor, the return air valve, the fresh air temperature and humidity sensor, the fault unit, the frequency converter and the fault indication unit are all connected with the control module through the communication interface.
Further, the control module is connected with a communication module through a router, and the communication module is internally provided with an SAM card.
Further, the control method of the high-precision environment intelligent control system based on the load prediction comprises the following steps:
s1: the control module calculates and sets absolute moisture content, enthalpy and dew point according to set temperature and set humidity, the control module collects fresh air temperature and humidity sensor signals, calculates fresh air absolute moisture content, fresh air enthalpy and fresh air dew point according to fresh air temperature and fresh air humidity, the control module collects temperature and humidity sensor signals before humidification, calculates absolute moisture content, enthalpy and dew point before humidification according to temperature and humidity before humidification, the control module collects air supply temperature and humidity sensor signals, calculates air supply absolute moisture content, air supply enthalpy and air supply dew point according to air supply temperature and air supply humidity, and the control module collects return air temperature and humidity sensor signals, calculates return air absolute moisture content, return air enthalpy and return air temperature according to return air temperature and return air humidity;
s2: after the machine is started by one key, the control module firstly respectively opens a fresh air valve, an air supply valve and an air return valve, and after time delay, the fan is started and a frequency converter signal is adjusted according to setting, so that the air quantity requirement of the system is ensured;
s3: the control module calculates indoor heat load and indoor humidity load, and calculates the set temperature of the temperature sensor after surface cooling according to the indoor load, so that the surface cooling control unit can take the task of eliminating the indoor heat load and humidity load;
s4: the control module collects return air temperature and humidity sensor signals, calculates a return air temperature trend value, a return air humidity trend value and a return air moisture content trend value according to the return air temperature and the return air humidity, collects air supply temperature and humidity sensor signals, and calculates an air supply temperature trend value, an air supply humidity trend value and an air supply moisture content trend value according to the air supply temperature and the air supply humidity;
s5: the control module controls the silicon controlled electric heating device, and the opening of the silicon controlled electric heating device is adjusted according to the indoor load, the return air temperature trend value, the air supply temperature and the air supply temperature trend value, so that the electric heating hysteresis is effectively reduced;
s6: the control module controls the electric heating humidifier device, and the opening of the electric heating humidifier device is adjusted according to the indoor load, the return air humidity, the return air moisture content trend value, the air supply humidity and the air supply moisture content trend value, so that the hysteresis of the humidifier is effectively reduced;
s7: when the thyristor electric heating device or the electric heating humidifier device fails, the control module memorizes the output value at the moment, and when the thyristor electric heating device or the electric heating humidifier device recovers from the failure, the memorized output value before the failure is recovered, so that overshoot is prevented, and the target value is quickly reached;
s8: the control module is connected with the communication module through the router, and the SAM card is arranged in the communication module, so that data access to the cloud server is achieved, and real-time viewing and control of the mobile phone APP and the web browser are achieved.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention combines the heating ventilation air conditioning theory and the automation technology, accurately calculates the indoor heat and humidity load, accurately calculates the air supply heat and humidity load, and accurately calculates the required air supply load, thereby adjusting the action of each heat and humidity execution unit and adjusting the output quantity in time.
2. The invention uses the automation technology to memorize the electric heating output value before the electric heating fault and the humidifier output value before the electric humidifying fault, and when the fault is eliminated, the output value before the memory is recovered, thereby preventing the overshoot and quickly reaching the target value.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a block diagram of the present invention;
in the figure: 1. an air conditioner; 2. a surface cooling control unit; 3. a temperature sensor after surface cooling; 4. a thyristor electric heating device; 5. a temperature and humidity sensor before humidification; 6. an electrically heated humidifier device; 7. a fan; 8. an air supply valve; 9. an air supply temperature and humidity sensor; 10. a control module; 11. a communication interface; 12. a communication module; 13. a cloud server; 14. a return air temperature and humidity sensor; 15. a return air valve; 16. a fresh air valve; 17. a fresh air temperature and humidity sensor; 18. a failure unit; 19. a frequency converter; 20. and a fault indication unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, the present invention provides the following technical solutions: a high-precision environment intelligent control system based on load prediction comprises an air conditioner 1, a fresh air end of the air conditioner 1 is respectively provided with a fresh air valve 16 and a fresh air temperature and humidity sensor 17, the fresh air valve 16 is positioned on one side, close to the air conditioner 1, of the fresh air temperature and humidity sensor 17, a return air temperature and humidity sensor 14 and a return air valve 15 are respectively arranged at a return air end of the air conditioner 1, the return air valve 15 is positioned on one side, close to the air conditioner 1, of the return air temperature and humidity sensor 14, a surface cooling control unit 2 is arranged inside the air conditioner 1 and between an air inlet and an air outlet, a surface cooling rear temperature sensor 3 is arranged inside the air conditioner 1 and at an air outlet end, positioned inside the surface cooling rear temperature sensor 3, far away from the surface cooling control unit 2, a silicon controlled electric heating device 4 is arranged inside the air conditioner 1, a pre-humidification temperature and humidity sensor 5 is arranged inside the air conditioner 1 and on one side, far away from the surface cooling rear temperature sensor 3, positioned inside the silicon controlled electric heating device 4, an electric heating humidifier device 6 is arranged inside the air conditioner 1 and on one side, far away from the silicon controlled electric heating device 4, of the temperature and humidity sensor 5 before humidification, a fan 7 is arranged inside the air conditioner 1 and on the position of an air outlet, an air inlet side of the fan 7 faces an air inlet of the air conditioner 1, an air outlet side of the fan 7 faces an air outlet of the air conditioner 1, an air supply end of the air conditioner 1 is provided with an air supply valve 8 and an air supply temperature and humidity sensor 9 respectively, the air supply valve 8 is located on one side, close to the air conditioner 1, of the air supply temperature and humidity sensor 9, one side of the air conditioner 1 is provided with a control module 10, a communication module 12 is arranged inside the control module 10, a cloud server 13 is arranged above the control module 10, and the communication module 12 is connected with the cloud server 13.
Specifically, a frequency converter 19 is arranged on the fan 7,
by adopting the technical scheme, the frequency converter 19 has the function of adjusting the air quantity of the fan 7, so that the air quantity requirement of the system can be ensured.
Specifically, one side of the control module 10 is provided with a fault unit 18, and the other side of the control module 10 is provided with a fault indication unit 20,
by adopting the technical scheme, the control module 10 controls the fault unit 18 to detect faults and displays the detected fault position through the fault indication unit 20, so that a worker can know the fault position in time and overhaul in time.
Specifically, a communication interface 11, a surface cooling control unit 2, a surface cooling rear temperature sensor 3, a silicon controlled electric heating device 4, a humidity sensor before humidification 5, an electric heating humidifier device 6, a fan 7, an air supply valve 8, an air supply temperature and humidity sensor 9, an air return temperature and humidity sensor 14, an air return valve 15, a fresh air valve 16, a fresh air temperature and humidity sensor 17, a fault unit 18, a frequency converter 19 and a fault indication unit 20 are arranged on a control module 10 and are connected with the control module 10 through the communication interface 11,
by adopting the technical scheme, the communication between the whole bodies can be maintained so as to facilitate better coordination work.
Specifically, the control module 10 is connected to the communication module 12 through a router, the communication module 12 is provided with a SAM card,
by adopting the technical scheme, the data access to the cloud server 13 is realized, and the real-time viewing and control of the mobile phone APP and the webpage browser are realized.
Specifically, the control method of the high-precision environment intelligent control system based on load prediction comprises the following steps:
s1: the control module 10 calculates and sets absolute moisture content, enthalpy and dew point according to set temperature and set humidity, the control module 10 collects signals of a fresh air temperature and humidity sensor 17, calculates fresh air absolute moisture content, fresh air enthalpy and fresh air dew point according to fresh air temperature and fresh air humidity, the control module 10 collects signals of a temperature and humidity sensor 5 before humidification, calculates absolute moisture content, enthalpy and dew point before humidification according to temperature and humidity before humidification, the control module 10 collects signals of an air supply temperature and humidity sensor 9, calculates air supply absolute moisture content, air supply enthalpy and air supply dew point according to air supply temperature and air supply humidity, the control module 10 collects signals of an air return temperature and humidity sensor 14, and calculates air return absolute moisture content, air return enthalpy and air return temperature according to air return temperature and air return humidity;
s2: after the system is started by one key, the control module 10 firstly respectively opens the fresh air valve 16, the air supply valve 8 and the return air valve 15, and after time delay, the fan 7 is started and the signal of the frequency converter 19 is adjusted according to the setting, so that the air volume requirement of the system is ensured;
s3: the control module 10 calculates indoor heat load and indoor humidity load, and calculates the set temperature of the temperature sensor 3 after surface cooling according to the indoor load, so that the surface cooling control unit 2 can take on the task of eliminating the indoor heat load and humidity load;
s4: the control module 10 collects signals of a return air temperature and humidity sensor 14, calculates a return air temperature trend value, a return air humidity trend value and a return air moisture content trend value according to the return air temperature and the return air humidity, and the control module 10 collects signals of an air supply temperature and humidity sensor 9 and calculates an air supply temperature trend value, an air supply humidity trend value and an air supply moisture content trend value according to the air supply temperature and the air supply humidity;
s5: the control module 10 controls the silicon controlled rectifier electric heating device 4, and the opening degree of the silicon controlled rectifier electric heating device 4 is adjusted according to the indoor load, the return air temperature trend value, the air supply temperature and the air supply temperature trend value, so that the electric heating hysteresis is effectively reduced;
s6: the control module 10 controls the electric heating humidifier device 6, and the opening of the electric heating humidifier device 6 is adjusted according to the indoor load, the return air humidity, the return air moisture content trend value, the air supply humidity and the air supply moisture content trend value, so that the hysteresis of the humidifier is effectively reduced;
s7: when the thyristor electric heating device 4 or the electric heating humidifier device 6 fails, the control module 10 memorizes the output value at this time, and when the thyristor electric heating device 4 or the electric heating humidifier device 6 recovers from the failure, the memorized output value before the failure is recovered, so that overshoot is prevented, and the target value is quickly reached;
s8: the control module 10 is connected with the communication module 12 through a router, and the communication module 12 is internally provided with an SAM card to realize data access to the cloud server 13 and realize real-time viewing and control of the mobile phone APP and the web browser.
The working principle and the using process of the invention are as follows:
s1: the control module 10 calculates and sets absolute moisture content, enthalpy and dew point according to set temperature and set humidity, the control module 10 collects signals of a fresh air temperature and humidity sensor 17, calculates fresh air absolute moisture content, fresh air enthalpy and fresh air dew point according to fresh air temperature and fresh air humidity, the control module 10 collects signals of a temperature and humidity sensor 5 before humidification, calculates absolute moisture content, enthalpy and dew point before humidification according to temperature and humidity before humidification, the control module 10 collects signals of an air supply temperature and humidity sensor 9, calculates air supply absolute moisture content, air supply enthalpy and air supply dew point according to air supply temperature and air supply humidity, the control module 10 collects signals of an air return temperature and humidity sensor 14, and calculates air return absolute moisture content, air return enthalpy and air return temperature according to air return temperature and air return humidity;
s2: after the system is started by one key, the control module 10 firstly respectively opens the fresh air valve 16, the air supply valve 8 and the return air valve 15, and after time delay, the fan 7 is started and the signal of the frequency converter 19 is adjusted according to the setting, so that the air volume requirement of the system is ensured;
s3: the control module 10 calculates indoor heat load and indoor humidity load, and calculates the set temperature of the temperature sensor 3 after surface cooling according to the indoor load, so that the surface cooling control unit 2 can take on the task of eliminating the indoor heat load and humidity load;
s4: the control module 10 collects signals of a return air temperature and humidity sensor 14, calculates a return air temperature trend value, a return air humidity trend value and a return air moisture content trend value according to the return air temperature and the return air humidity, and the control module 10 collects signals of an air supply temperature and humidity sensor 9 and calculates an air supply temperature trend value, an air supply humidity trend value and an air supply moisture content trend value according to the air supply temperature and the air supply humidity;
s5: the control module 10 controls the silicon controlled rectifier electric heating device 4, and the opening degree of the silicon controlled rectifier electric heating device 4 is adjusted according to the indoor load, the return air temperature trend value, the air supply temperature and the air supply temperature trend value, so that the electric heating hysteresis is effectively reduced;
s6: the control module 10 controls the electric heating humidifier device 6, and the opening of the electric heating humidifier device 6 is adjusted according to the indoor load, the return air humidity, the return air moisture content trend value, the air supply humidity and the air supply moisture content trend value, so that the hysteresis of the humidifier is effectively reduced;
s7: when the thyristor electric heating device 4 or the electric heating humidifier device 6 fails, the control module 10 memorizes the output value at this time, and when the thyristor electric heating device 4 or the electric heating humidifier device 6 recovers from the failure, the memorized output value before the failure is recovered, so that overshoot is prevented, and the target value is quickly reached;
s8: the control module 10 is connected with the communication module 12 through a router, and the communication module 12 is internally provided with an SAM card to realize data access to the cloud server 13 and realize real-time viewing and control of the mobile phone APP and the web browser.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. A control method of a high-precision environment intelligent control system based on load prediction is characterized in that the control system comprises an air conditioner (1), a fresh air end of the air conditioner (1) is provided with a fresh air valve (16) and a fresh air temperature and humidity sensor (17) respectively, the fresh air valve (16) is positioned on one side, close to the air conditioner (1), of the fresh air temperature and humidity sensor (17), a return air end of the air conditioner (1) is provided with a return air temperature and humidity sensor (14) and a return air valve (15) respectively, the return air valve (15) is positioned on one side, close to the air conditioner (1), of the return air temperature and humidity sensor (14), a surface cooling control unit (2) is arranged inside the air conditioner (1) and between an air inlet and an air outlet, and an air outlet end, positioned inside the surface cooling control unit (2), of the air conditioner (1) is provided with a surface cooling rear temperature sensor (3), a silicon controlled electric heating device (4) is arranged in the air conditioner (1) and on one side of the temperature sensor (3) far away from the surface cooling control unit (2) after the surface cooling, a humiture sensor (5) before humidification is arranged in the air conditioner (1) and on one side of the silicon controlled electric heating device (4) far away from the surface cooling temperature sensor (3), an electric heating humidifier device (6) is arranged in the air conditioner (1) and on one side of the humiture sensor (5) before humidification far away from the silicon controlled electric heating device (4), a fan (7) is arranged in the air conditioner (1) and on the air outlet position, the air inlet side of the fan (7) faces the air inlet of the air conditioner (1), the air outlet side of the fan (7) faces the air outlet of the air conditioner (1), and the air supply end of the air conditioner (1) is respectively provided with an air supply valve (8) and an air supply humiture sensor (9), the air supply valve (8) is positioned on one side, close to the air conditioner (1), of the air supply temperature and humidity sensor (9), a control module (10) is arranged on one side of the air conditioner (1), a communication module (12) is arranged inside the control module (10), a cloud server (13) is arranged above the control module (10), and the communication module (12) is connected with the cloud server (13);
the control method comprises the following steps:
s1: the control module (10) calculates and sets absolute moisture content according to set temperature and set humidity, sets enthalpy and sets dew point temperature, the control module (10) collects signals of a fresh air temperature and humidity sensor (17), calculates the fresh air absolute moisture content, the fresh air enthalpy and the fresh air dew point temperature according to the fresh air temperature and the fresh air humidity, the control module (10) collects signals of a temperature and humidity sensor (5) before humidification, calculates the absolute moisture content, the enthalpy and the dew point before humidification according to the temperature and the humidity before humidification, calculates the absolute moisture content, the enthalpy and the dew point according to the air supply temperature and the air supply humidity, the control module (10) collects signals of an air supply temperature and humidity sensor (9), calculates the absolute moisture content, the air supply enthalpy and the dew point temperature according to the air supply temperature and the air supply humidity, the control module (10) collects signals of an air supply temperature and humidity sensor (14), and calculates the absolute moisture content of return air according to the air return temperature and the air return humidity, return air enthalpy and return air dew point temperature;
s2: after the system is started by one key, the control module (10) respectively opens a fresh air valve (16), an air supply valve (8) and an air return valve (15), the fan (7) is started after time delay, and signals of a frequency converter (19) are adjusted according to setting, so that the air quantity requirement of the system is ensured;
s3: the control module (10) calculates indoor heat load and indoor humidity load, and calculates the set temperature of the temperature sensor (3) after the meter cooling according to the indoor load, so that the meter cooling control unit (2) can take the task of eliminating the indoor heat load and the indoor humidity load;
s4: the control module (10) collects signals of a return air temperature and humidity sensor (14), calculates a return air temperature trend value, a return air humidity trend value and a return air moisture content trend value according to the return air temperature and the return air humidity, and the control module (10) collects signals of an air supply temperature and humidity sensor (9) and calculates an air supply temperature trend value, an air supply humidity trend value and an air supply moisture content trend value according to the air supply temperature and the air supply humidity;
s5: the control module (10) controls the silicon controlled electric heating device (4), and the opening of the silicon controlled electric heating device (4) is adjusted according to the indoor load, the return air temperature trend value, the air supply temperature and the air supply temperature trend value, so that the electric heating hysteresis is effectively reduced;
s6: the control module (10) controls the electric heating humidifier device (6), and the opening of the electric heating humidifier device (6) is adjusted according to the indoor load, the return air humidity, the return air moisture content trend value, the air supply humidity and the air supply moisture content trend value, so that the hysteresis of the humidifier is effectively reduced;
s7: when the thyristor electric heating device (4) or the electric heating humidifier device (6) fails, the control module (10) memorizes the output value at the moment, and when the thyristor electric heating device (4) or the electric heating humidifier device (6) recovers from the failure, the memorized output value before the failure is recovered, overshoot is prevented, and the target value is quickly reached;
s8: the control module (10) is connected with the communication module (12) through the router, the SAM card is arranged in the communication module (12), data access to the cloud server (13) is achieved, and real-time viewing and control of the mobile phone APP and the web browser are achieved.
2. The control method of the high-precision environment intelligent control system based on the load prediction as claimed in claim 1, characterized in that: and a frequency converter (19) is arranged on the fan (7).
3. The control method of the high-precision environment intelligent control system based on the load prediction as claimed in claim 2, characterized in that: a fault unit (18) is arranged on one side of the control module (10), and a fault indication unit (20) is arranged on the other side of the control module (10).
4. The control method of the high-precision environment intelligent control system based on the load prediction as claimed in claim 3, characterized in that: the control module (10) is provided with a communication interface (11), and the meter cooling control unit (2), the meter cooling rear temperature sensor (3), the silicon controlled electric heating device (4), the humidification front temperature and humidity sensor (5), the electric heating humidifier device (6), the fan (7), the air supply valve (8), the air supply temperature and humidity sensor (9), the return air temperature and humidity sensor (14), the return air valve (15), the fresh air valve (16), the fresh air temperature and humidity sensor (17), the fault unit (18), the frequency converter (19) and the fault indication unit (20) are all connected with the control module (10) through the communication interface (11).
5. The control method of the high-precision environment intelligent control system based on the load prediction as claimed in claim 1, characterized in that: the control module (10) is connected with the communication module (12) through a router, and the communication module (12) is internally provided with a SAM card.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011116193.9A CN112361530B (en) | 2020-10-19 | 2020-10-19 | High-precision environment intelligent control system and control method based on load prediction |
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