CN110940061A - Central air conditioner control method and system - Google Patents
Central air conditioner control method and system Download PDFInfo
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- CN110940061A CN110940061A CN201911303695.XA CN201911303695A CN110940061A CN 110940061 A CN110940061 A CN 110940061A CN 201911303695 A CN201911303695 A CN 201911303695A CN 110940061 A CN110940061 A CN 110940061A
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- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000004378 air conditioning Methods 0.000 claims abstract description 114
- 238000004088 simulation Methods 0.000 claims abstract description 22
- 238000007405 data analysis Methods 0.000 claims abstract description 10
- 238000005457 optimization Methods 0.000 claims abstract description 4
- 238000005265 energy consumption Methods 0.000 claims description 36
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 15
- 238000001816 cooling Methods 0.000 claims description 13
- 239000000498 cooling water Substances 0.000 claims description 10
- 238000007710 freezing Methods 0.000 claims description 10
- 230000008014 freezing Effects 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000009467 reduction Effects 0.000 claims description 4
- 238000003754 machining Methods 0.000 claims description 2
- 230000008569 process Effects 0.000 abstract description 5
- 230000008878 coupling Effects 0.000 description 2
- 238000010168 coupling process Methods 0.000 description 2
- 238000005859 coupling reaction Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000005494 condensation Effects 0.000 description 1
- 238000009833 condensation Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000008020 evaporation Effects 0.000 description 1
- 238000001704 evaporation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005057 refrigeration Methods 0.000 description 1
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Classifications
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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
- F24F11/46—Improving electric energy efficiency or saving
-
- 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
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
- F24F11/83—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling the supply of heat-exchange fluids to heat-exchangers
- F24F11/85—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling the supply of heat-exchange fluids to heat-exchangers using variable-flow pumps
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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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- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Human Computer Interaction (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a method and a system for controlling a central air conditioner, wherein the method comprises the following steps: the air conditioning unit uploads the field operation data to the cloud server at intervals; the cloud server performs big data analysis on data uploaded by the central air conditioner, optimizes the simulation model of each sub-device of the air conditioning unit, performs optimization correction on the control parameters of each sub-device according to the optimized simulation model of each sub-device, and then sends the optimized control parameters to a field controller for controlling the air conditioning unit. By adopting the technical scheme of the invention, the energy-saving control process of the central air conditioner can be simple and effective.
Description
Technical Field
The invention relates to the field of air conditioners, in particular to a central air conditioner control method and system.
Background
The central air-conditioning system is an energy consumption big household in a building, and the energy-saving control of the system is very important. The central air-conditioning system has the characteristics of complex structure, various devices, higher coupling degree among the devices and 'pulling and moving the whole body'. This means that when the energy-saving control is performed on the central air-conditioning system, the influence of mutual coupling among all the devices of the whole system needs to be considered, which results in a complex control process and does not necessarily achieve a good energy-saving effect.
Disclosure of Invention
The invention aims to provide a central air-conditioning control method and system with simple and effective energy-saving control process, aiming at the technical problems of complex energy-saving control process and poor effect of the air-conditioning system in the prior art.
The embodiment of the invention provides a control method of a central air conditioner, which comprises the following steps:
the method comprises the following steps that a field controller of the central air conditioner uploads field operation data of an air conditioning unit to a cloud server at intervals;
the cloud server performs big data analysis on data uploaded by the central air conditioner, optimizes the simulation model of each sub-device of the air conditioning unit, performs optimization correction on the control parameters of each sub-device according to the optimized simulation model of each sub-device, and then sends the optimized control parameters to the field controller to control the air conditioning unit.
In the embodiment of the invention, each sub-device of the air conditioning unit comprises a freezing water pump, a cooling tower and a cooler.
In an embodiment of the present invention, the air conditioner control method further includes: and the field controller respectively calculates the energy consumption of the air conditioning unit under the machine adding working condition and the machine reducing working condition according to the corrected control parameters, and controls the running state of the air conditioning unit according to the comparison relationship between the calculation result and the current energy consumption.
In the embodiment of the invention, the machining working conditions are as follows: respectively adding and opening one cold machine, one cooling water pump, one freezing water pump and one cooling tower; the engine reduction working condition is as follows: and closing one of the currently running cold machine, the cooling water pump, the freezing water pump and the cooling tower.
In the embodiment of the invention, if the energy consumption of the air conditioning unit is minimum under the working condition, the field controller controls the air conditioning unit to operate under the working condition; if the energy consumption of the air conditioning unit is minimum under the condition of reducing the air conditioner, the field controller controls the air conditioning unit to run under the condition of reducing the air conditioner; and if the energy consumption of the air conditioning unit under the current operation working condition is minimum, the field controller maintains the current operation working condition of the air conditioning unit unchanged.
The embodiment of the invention also provides a central air-conditioning control system which comprises a cloud server, an air-conditioning unit and a field controller used for controlling the air-conditioning unit, wherein the field controller uploads field operation data of the air-conditioning unit to the cloud server at intervals, the cloud server is used for carrying out big data analysis on the data uploaded by the central air-conditioning unit, optimizing simulation models of all sub-devices of the air-conditioning unit, optimizing and correcting control parameters of all the sub-devices according to the optimized simulation models of all the sub-devices, and then sending the optimized control parameters to the field controller.
In the embodiment of the invention, the field controller is further used for respectively calculating the energy consumption of the air conditioning unit under the machine adding working condition and the machine reducing working condition according to the corrected control parameters, and controlling the running state of the air conditioning unit according to the comparison relationship between the calculation result and the current energy consumption.
In the embodiment of the invention, if the energy consumption of the air conditioning unit is minimum under the working condition, the field controller controls the air conditioning unit to operate under the working condition; if the energy consumption of the air conditioning unit is minimum under the condition of reducing the air conditioner, the field controller controls the air conditioning unit to run under the condition of reducing the air conditioner; and if the energy consumption of the air conditioning unit under the current operation working condition is minimum, the field controller maintains the current operation working condition of the air conditioning unit unchanged.
Compared with the prior art, in the central air conditioner control method and system, the central air conditioner uploads the field operation data to the cloud server at intervals. The cloud server optimizes a simulation model of the air conditioning equipment through big data analysis, optimizes and corrects control parameters through the simulation model, then transmits the control parameters into the field controller, the field controller respectively calculates energy consumption of the air conditioning system after adding the air conditioner and the air conditioning system after reducing the air conditioner according to the corrected control parameters, analyzes and compares the measured energy consumption of the system in the current running state with the calculated energy consumption of the system after adding the air conditioner and the system after reducing the air conditioner to obtain the conclusion that the air conditioner should be kept unchanged, adds the air conditioner or reduces the air conditioner, controls the system, periodically feeds back the control parameters through the cloud server, and the field controller can dynamically regulate and control the energy consumption of the air conditioning system to achieve the self-adaptive optimization control purpose, so that the whole system can run more energy-saving and more stable.
Drawings
Fig. 1 is a schematic structural diagram of a central air-conditioning control system according to an embodiment of the present invention.
Fig. 2 is a flowchart of a central air conditioner control method according to an embodiment of the present invention.
Detailed Description
As shown in fig. 1, an embodiment of the present invention provides a central air-conditioning control system, which includes a cloud server, an air-conditioning unit, and a field controller for controlling the air-conditioning unit.
And the air conditioning unit uploads the field operation data to the cloud server at intervals. The air conditioning unit includes a plurality of sub-devices such as a chilled water pump, a cooling tower, and a chiller. And the plurality of sub-devices operate cooperatively, so that the refrigeration function of the air conditioning unit is realized. The field controller collects the operation data of the air conditioning unit once every certain time (less than 10 seconds) when the air conditioning unit operates, and uploads the collected operation data of the air conditioning system in the certain time to the cloud server after collecting the certain time (usually 1 hour).
The cloud server is used for carrying out big data analysis on data uploaded by the central air conditioner, optimizing the simulation model of each sub-device of the air conditioning unit, optimizing and correcting the control parameters of each sub-device according to the optimized simulation model of each sub-device, and then sending the optimized control parameters to the field controller.
It should be noted that, when a large amount of operation data of the air conditioning unit is accumulated in the cloud server, a big data analysis method may be adopted to establish a simulation model of each sub-device in the air conditioning unit. And optimizing the simulation models as the data is continuously accumulated. In these simulation models, the correlation between the operating parameters of the respective sub-devices in the air conditioning unit is simulated. For example, the operation parameters of the cooling water pump include flow rate, lift, frequency, and efficiency. The operation parameters of the cold machine comprise refrigerating capacity, power, COP, freezing/cooling water inlet and outlet temperature, evaporation temperature and condensation temperature. The operation parameters of the cooling tower comprise water flow, water inlet/outlet temperature, fan frequency, fan power, air quantity, air-water ratio and the like. According to the simulation model of each sub-device in the air conditioning unit, the optimal control parameter of the operation of each sub-device can be obtained.
And the field controller is used for controlling the running state of the air conditioning unit according to the corrected control parameters. Specifically, the field controller respectively calculates the energy consumption of the air conditioning unit under the machine adding working condition and the machine reducing working condition, and controls the running state of the air conditioning unit according to the comparison relationship between the calculation result and the current energy consumption.
It should be noted that the processing conditions are as follows: respectively adding and opening one cold machine, one cooling water pump, one freezing water pump and one cooling tower; the engine reduction working condition is as follows: and closing one of the currently running cold machine, the cooling water pump, the freezing water pump and the cooling tower. If the energy consumption of the air conditioning unit is minimum under the working condition, the field controller controls the air conditioning unit to operate under the working condition; if the energy consumption of the air conditioning unit is minimum under the condition of reducing the air conditioner, the field controller controls the air conditioning unit to run under the condition of reducing the air conditioner; and if the energy consumption of the air conditioning unit under the current operation working condition is minimum, the field controller maintains the current operation working condition of the air conditioning unit unchanged.
As shown in fig. 2, the control process of the central air-conditioning control system is as follows:
when the central air conditioner operates, the field controller acquires the operating data of the air conditioning unit and uploads the operating data to the cloud server at intervals;
the cloud server performs big data analysis on data uploaded by the central air conditioner and optimizes a simulation model of each sub-device of the air conditioning unit;
the cloud server optimizes and corrects the control parameters of each sub-device according to the optimized simulation model of each sub-device, and then sends the optimized control parameters to a field controller for controlling the air conditioning unit;
the field controller respectively calculates the energy consumption of the air conditioning unit under the machine adding working condition and the machine reducing working condition according to the corrected control parameters, and controls the running state of the air conditioning unit according to the comparison relationship between the calculation result and the current energy consumption as follows:
if the energy consumption of the air conditioning unit is minimum under the working condition, the field controller controls the air conditioning unit to operate under the working condition;
if the energy consumption of the air conditioning unit is minimum under the condition of reducing the air conditioner, the field controller controls the air conditioning unit to run under the condition of reducing the air conditioner;
and if the energy consumption of the air conditioning unit under the current operation working condition is minimum, the field controller maintains the current operation working condition of the air conditioning unit unchanged.
In summary, in the central air conditioner control method and system of the present invention, the central air conditioner uploads the field operation data to the cloud server at intervals. The cloud server optimizes a simulation model of the air conditioning equipment through big data analysis, optimizes and corrects control parameters through the simulation model, then transmits the control parameters into the field controller, the field controller respectively calculates energy consumption of the air conditioning system after adding and subtracting the air conditioning equipment according to the corrected control parameters, analyzes and compares the measured energy consumption of the system in the current running state with the calculated energy consumption of the system after adding and subtracting the air conditioning equipment to obtain the conclusion that the air conditioning equipment should be kept unchanged, and controls the system.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. A central air conditioner control method is characterized by comprising the following steps:
the method comprises the following steps that a field controller of the central air conditioner uploads field operation data of an air conditioning unit to a cloud server at intervals;
the cloud server performs big data analysis on data uploaded by the central air conditioner, optimizes the simulation model of each sub-device of the air conditioning unit, performs optimization correction on the control parameters of each sub-device according to the optimized simulation model of each sub-device, and then sends the optimized control parameters to the field controller to control the air conditioning unit.
2. The central air-conditioning control method according to claim 1, wherein each of the sub-devices of the air-conditioning group includes a chilled water pump, a cooling tower, and a chiller.
3. The central air-conditioning control method of claim 2, characterized by further comprising: and the field controller respectively calculates the energy consumption of the air conditioning unit under the machine adding working condition and the machine reducing working condition according to the corrected control parameters, and controls the running state of the air conditioning unit according to the comparison relationship between the calculation result and the current energy consumption.
4. The central air-conditioning control method according to claim 3, characterized in that the machining conditions are as follows: respectively adding and opening one cold machine, one cooling water pump, one freezing water pump and one cooling tower; the engine reduction working condition is as follows: and closing one of the currently running cold machine, the cooling water pump, the freezing water pump and the cooling tower.
5. The central air-conditioning control method according to claim 4, wherein if the air-conditioning unit consumes the least energy in the working condition, the site controller controls the air-conditioning unit to enter the working condition for operation; if the energy consumption of the air conditioning unit is minimum under the condition of reducing the air conditioner, the field controller controls the air conditioning unit to run under the condition of reducing the air conditioner; and if the energy consumption of the air conditioning unit under the current operation working condition is minimum, the field controller maintains the current operation working condition of the air conditioning unit unchanged.
6. The central air-conditioning control system is characterized by comprising a cloud server, an air-conditioning unit and a field controller for controlling the air-conditioning unit, wherein the field controller uploads field operation data of the air-conditioning unit to the cloud server at intervals, the cloud server is used for carrying out big data analysis on the data uploaded by the central air-conditioning unit, optimizing simulation models of all sub-devices of the air-conditioning unit, optimizing and correcting control parameters of all the sub-devices according to the optimized simulation models of all the sub-devices, and then sending the optimized control parameters to the field controller.
7. The central air conditioning control system according to claim 6, wherein each of the sub-devices of the air conditioning assembly includes a chilled water pump, a cooling tower, and a chiller.
8. The central air-conditioning control system according to claim 7, wherein the site controller is further configured to calculate the energy consumption of the air-conditioning unit after the machine-adding condition and the machine-reducing condition respectively according to the corrected control parameters, and control the operation state of the air-conditioning unit according to a comparison relationship between the calculation result and the current energy consumption.
9. The central air conditioning control system of claim 8, wherein the operating conditions are: respectively adding and opening one cold machine, one cooling water pump, one freezing water pump and one cooling tower; the engine reduction working condition is as follows: and closing one of the currently running cold machine, the cooling water pump, the freezing water pump and the cooling tower.
10. The central air-conditioning control system according to claim 9, wherein the site controller controls the air-conditioning unit to enter the working condition for operation if the air-conditioning unit consumes the least energy in the working condition; if the energy consumption of the air conditioning unit is minimum under the condition of reducing the air conditioner, the field controller controls the air conditioning unit to run under the condition of reducing the air conditioner; and if the energy consumption of the air conditioning unit under the current operation working condition is minimum, the field controller maintains the current operation working condition of the air conditioning unit unchanged.
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| CN201911303695.XA CN110940061A (en) | 2019-12-17 | 2019-12-17 | Central air conditioner control method and system |
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Cited By (5)
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| CN111780384A (en) * | 2020-06-15 | 2020-10-16 | 上海海悦实业发展有限公司 | Central air-conditioning control system |
| CN112413831A (en) * | 2020-11-25 | 2021-02-26 | 中国电力科学研究院有限公司 | A central air-conditioning energy-saving control system and method |
| CN113091234A (en) * | 2021-04-08 | 2021-07-09 | 贵州汇通华城股份有限公司 | Method and system for selecting on-off state of refrigeration host |
| CN113819582A (en) * | 2021-08-31 | 2021-12-21 | 广州汇电云联互联网科技有限公司 | Cold station group control energy-saving method and device, terminal equipment and readable storage medium |
| CN114165854A (en) * | 2021-11-10 | 2022-03-11 | 武汉理工大学 | Intelligent optimization control method based on dynamic simulation platform of central air-conditioning system |
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| CN114165854A (en) * | 2021-11-10 | 2022-03-11 | 武汉理工大学 | Intelligent optimization control method based on dynamic simulation platform of central air-conditioning system |
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Application publication date: 20200331 |