CN111578453A - Cooling water optimization control system and method based on big data analysis - Google Patents
Cooling water optimization control system and method based on big data analysis Download PDFInfo
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- CN111578453A CN111578453A CN202010382378.8A CN202010382378A CN111578453A CN 111578453 A CN111578453 A CN 111578453A CN 202010382378 A CN202010382378 A CN 202010382378A CN 111578453 A CN111578453 A CN 111578453A
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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
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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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Abstract
The invention provides a cooling water optimization control system and method based on big data analysis, which comprises a big data analysis module, a data acquisition module, a historical data module and a feedback control module; the scheme realizes the optimization control of the central air-conditioning cooling water system based on the analysis of the integral historical operating data of the central air conditioner, solves the problem of energy consumption waste caused by unreasonable operation of the cooling water system, and improves the integral energy efficiency of the central air-conditioning system.
Description
Technical Field
The invention belongs to the technical field of central air conditioner control, and particularly relates to a cooling water optimization control system and method based on big data analysis.
Background
The central air-conditioning system consists of a cooling tower, a cooling pump, a refrigeration host, a freezing pump, pipelines for connecting all the devices, valves and sensors on the pipelines, and the like. The operation efficiency is influenced by the cooling effect, and the cooling effect is determined by external factors such as meteorological conditions and internal factors such as the number of cooling towers, the frequency, the number of cooling pumps, the frequency and the like. The traditional method for adjusting the number and frequency of the cooling towers and the number and frequency of the cooling pumps in operation by manually setting the temperature of cooling water has limitations because the central air-conditioning system is difficult to be always in the highest-efficiency operation state under the combined action of the constantly changing internal and external factors of the cooling towers, the cooling pumps and the refrigeration main machines and the dynamically changing air-conditioning load. If the air conditioner management personnel only manage the cooling system by experience, energy saving optimization is difficult to carry out, and the problems that energy consumption is wasted due to excessive operation of a cooling tower and a cooling pump or the cooling effect is deteriorated due to excessive pursuit of energy saving of the cooling system, the efficiency of a refrigeration host machine is reduced, and the total energy consumption of a central air conditioning system is not reduced and reversely increased easily occur. Therefore, a scientific and effective energy-saving control method is urgently needed for an air-conditioning cooling water system.
Disclosure of Invention
The invention provides a cooling water optimal control system and method based on big data analysis, aiming at the problems that a central air-conditioning system is complex in system structure, energy consumption of a cooling tower fan, a cooling pump and a refrigeration host are influenced mutually and change in real time, and energy-saving optimal control of each device is difficult.
The technical scheme of the invention is realized as follows:
a cooling water optimization control system based on big data analysis comprises a big data analysis module, a data acquisition module, a historical data module and a feedback control module;
the data acquisition module is used for accessing an external building control system, an air conditioner control system and the like to acquire various running parameters of a central air conditioning system, such as refrigeration water supply and return temperature, cooling water supply and return temperature, air conditioner water flow, outdoor temperature, humidity and the like;
the historical data module is used for storing various data read by the system and results obtained by the system through calculation and analysis;
the big data analysis module is used for receiving the information transmitted by each functional module, processing and analyzing the information to obtain an operation result, and sending the operation result to the feedback control module;
and the feedback control module is used for transmitting the set value provided by the big data analysis module to the central air-conditioning control system, checking the running state of the air-conditioning system, verifying the calculation result of the big data analysis module and providing the result to the historical data module.
Furthermore, the big data analysis module judges the current system operation state by analyzing historical operation data, obtains optimized data such as cooling tower fan frequency, cooling pump frequency and the like, and transmits the data to the feedback control module.
Furthermore, the big data analysis module, the data acquisition module, the historical data module and the feedback control module can be set and updated independently.
The scheme also relates to a cooling water optimization control method based on big data analysis, which comprises the following steps:
(1) data acquisition: acquiring various operating parameters of a central air conditioning system in an external building control system and an air conditioning control system, such as refrigeration water supply and return temperature, cooling water supply and return temperature, air conditioning water flow, outdoor temperature, humidity and the like;
(2) and (3) historical data storage: storing the information of each parameter collected in the step (1);
(3) big data analysis: analyzing the operation data and parameter information of each device stored by the historical data in the step (2); and judging the current system running state to obtain the optimized specific numerical values of the cooling tower fan frequency, the cooling pump frequency and the like.
(4) Feedback control: feedback control: and (4) issuing the optimized equipment operation set value obtained in the step (3) to an industrial control system of the central air conditioner, reading system operation state data again after the air conditioner system operates for a period of time, performing big data analysis and verification again, and returning the result and various parameters to the step (2) for storage.
The closed loop process of big data analysis is formed by the steps, and the big data analysis and calculation results are more and more accurate along with the continuous increase of the operation data of the air-conditioning system, so that the overall efficiency of the cooling water system of the central air-conditioning is effectively improved.
The effect of the working principle of the invention is as follows:
the invention provides a cooling water system optimization control method based on a big data analysis technology, which aims at solving the problems that a central air-conditioning system is complex in system structure, energy consumption of a cooling tower fan, a cooling pump and a refrigeration host are influenced mutually and changed in real time, and energy-saving optimization control of each device is difficult. The optimization control of the central air-conditioning cooling water system based on the analysis of the integral historical operating data of the central air conditioner is realized, the energy consumption waste caused by unreasonable operation of the cooling water system is solved, and the integral energy efficiency of the central air-conditioning system is improved.
Drawings
FIG. 1 is a schematic diagram of a cooling water optimization control system based on big data analysis according to the present invention
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying 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 of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that all the directional indicators (such as upper, lower, left, right, front and rear … …) in the embodiment of the present invention are only used to explain the relative position relationship between the components, the movement situation, etc. in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indicator is changed accordingly.
In addition, the descriptions related to "first", "second", etc. in the present invention are for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
Example 1
A cooling water optimization control method based on big data analysis comprises the following steps:
(1) data acquisition: acquiring various operating parameters of a central air conditioning system in an external building control system and an air conditioning control system, such as refrigeration water supply and return temperature, cooling water supply and return temperature, air conditioning water flow, outdoor temperature, humidity and the like;
(2) and (3) historical data storage: storing the information of each parameter collected in the step (1);
(3) big data analysis: analyzing the operation data and parameter information of each device stored by the historical data in the step (2); and judging the current system running state to obtain the optimized specific numerical values of the cooling tower fan frequency, the cooling pump frequency and the like.
(4) Feedback control: feedback control: and (4) issuing the optimized equipment operation set value obtained in the step (3) to an industrial control system of the central air conditioner, reading system operation state data again after the air conditioner system operates for a period of time, performing big data analysis and verification again, and returning the result and various parameters to the step (2) for storage.
The closed loop process of big data analysis is formed by the steps, and the big data analysis and calculation results are more and more accurate along with the continuous increase of the operation data of the air-conditioning system, so that the overall efficiency of the cooling water system of the central air-conditioning is effectively improved.
The method corresponds to a cooling water optimization control system based on big data analysis, and is shown in figure 1, and comprises a big data analysis module, a data acquisition module, a historical data module and a feedback control module;
the data acquisition module is used for accessing an external building control system, an air conditioner control system and the like to acquire various running parameters of a central air conditioning system, such as refrigeration water supply and return temperature, cooling water supply and return temperature, air conditioner water flow, outdoor temperature, humidity and the like;
the historical data module is used for storing various data read by the system and results obtained by the system through calculation and analysis;
the big data analysis module is used for receiving the information transmitted by each functional module, processing and analyzing the information to obtain an operation result, and sending the operation result to the feedback control module, and comprises a big data analysis module, a data acquisition module, a historical data module and a feedback control module; the system is used for accessing an external building control system, an air conditioner control system and the like to obtain various operating parameters of a central air conditioning system, such as refrigeration water supply and return temperature, cooling water supply and return temperature, air conditioner water flow, outdoor temperature, humidity and the like;
the feedback control module is used for sending the set value provided by the big data analysis module to the central air-conditioning control system, checking the running state of the air-conditioning system, verifying the calculation result of the big data analysis module and providing the result to the historical data module;
the modules can be set and updated independently.
The specific working process is as follows:
as shown in fig. 1
In the primary analysis process, the data acquisition module reads data such as outdoor temperature and humidity, cooling supply return water temperature and the like from the air conditioner industrial control system and submits the data to the big data analysis module. After the big data analysis module obtains data such as outdoor temperature and humidity, historical operation information with correlation is obtained from the historical data module, then intelligent analysis and calculation are carried out, analysis results such as optimized cooling pump frequency set values and cooling tower frequency set values are obtained, and the analysis results are sent to the feedback control module. And the feedback control module writes the results into the air conditioner industrial control system as set values.
After a period of time, the feedback control module reads the energy consumption operation data of the air conditioner industrial control system and feeds the energy consumption operation data back to the big data analysis module. The big data analysis module stores data such as outdoor temperature and humidity and the like to the historical data module by combining with feedback effect data, and one analysis process is completed.
Along with the increase of the running time of the system, the data accumulated by the optimization control system is more and more, and the analysis result of the big data analysis module is more and more excellent, so that the energy-saving optimization control of the whole central air-conditioning cooling water system is realized.
The scheme realizes the optimization control of the central air-conditioning cooling water system based on the analysis of the integral historical operating data of the central air conditioner, solves the problem of energy consumption waste caused by unreasonable operation of the cooling water system, and improves the integral energy efficiency of the central air-conditioning system.
Finally, the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all of them should be covered in the claims of the present invention.
Claims (4)
1. A cooling water optimization control system based on big data analysis is characterized by comprising a big data analysis module, a data acquisition module, a historical data module and a feedback control module;
the data acquisition module is used for accessing an external building control system, an air conditioner control system and the like to acquire various running parameters of a central air conditioning system, such as refrigeration water supply and return temperature, cooling water supply and return temperature, air conditioner water flow, outdoor temperature, humidity and the like;
the historical data module is used for storing various data read by the system and results obtained by the system through calculation and analysis;
the big data analysis module is used for receiving the information transmitted by each functional module, processing and analyzing the information to obtain an operation result, and sending the operation result to the feedback control module;
and the feedback control module is used for transmitting the set value provided by the big data analysis module to the central air-conditioning control system, checking the running state of the air-conditioning system, verifying the calculation result of the big data analysis module and providing the result to the historical data module.
2. The cooling water optimization control system based on big data analysis as claimed in claim 1, wherein the big data analysis module determines the current system operation state by analyzing historical operation data, obtains optimized cooling tower fan frequency, cooling pump frequency and other data and transmits the data to the feedback control module.
3. The cooling water optimization control system based on big data analysis of claim 1, wherein the big data analysis module, the data acquisition module, the historical data module and the feedback control module can be set and updated individually.
4. A cooling water optimization control method based on big data analysis is characterized by comprising the following steps:
(1) data acquisition: acquiring various operating parameters of a central air conditioning system in an external building control system and an air conditioning control system, such as refrigeration water supply and return temperature, cooling water supply and return temperature, air conditioning water flow, outdoor temperature, humidity and the like;
(2) and (3) historical data storage: storing the information of each parameter collected in the step (1);
(3) big data analysis: analyzing the operation data and parameter information of each device stored by the historical data in the step (2); and judging the current system running state to obtain the optimized specific numerical values of the cooling tower fan frequency, the cooling pump frequency and the like.
(4) Feedback control: and (4) issuing the optimized equipment operation set value obtained in the step (3) to an industrial control system of the central air conditioner, reading system operation state data again after the air conditioner system operates for a period of time, performing big data analysis and verification again, and returning the result and various parameters to the step (2) for storage.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116520709A (en) * | 2023-06-16 | 2023-08-01 | 上海能誉科技股份有限公司 | Operation optimization device and operation optimization method for energy power system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116520709A (en) * | 2023-06-16 | 2023-08-01 | 上海能誉科技股份有限公司 | Operation optimization device and operation optimization method for energy power system |
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