CN111219856B - Air treatment equipment intelligent optimization group control device and method based on 5G communication - Google Patents

Air treatment equipment intelligent optimization group control device and method based on 5G communication Download PDF

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CN111219856B
CN111219856B CN201911398537.7A CN201911398537A CN111219856B CN 111219856 B CN111219856 B CN 111219856B CN 201911398537 A CN201911398537 A CN 201911398537A CN 111219856 B CN111219856 B CN 111219856B
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air
temperature
water
frequency
water pump
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CN111219856A (en
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赵鹏生
姚晔
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Shanghai Geniuses Building Technology Co ltd
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Shanghai Geniuses Building Technology Co ltd
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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
    • 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
    • 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
    • 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
    • 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
    • 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
    • F24F11/84—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 valves
    • 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
    • F24F11/89—Arrangement or mounting of control or safety devices
    • G—PHYSICS
    • G08—SIGNALLING
    • G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
    • G—PHYSICS
    • G08—SIGNALLING
    • G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C19/00—Electric signal transmission systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/70—Services for machine-to-machine communication [M2M] or machine type communication [MTC]
    • 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
    • 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
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2140/00—Control inputs relating to system states
    • F24F2140/10—Pressure
    • F24F2140/12—Heat-exchange fluid pressure
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2140/00—Control inputs relating to system states
    • F24F2140/20—Heat-exchange fluid temperature
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/50—Reducing energy consumption in communication networks in wire-line communication networks, e.g. low power modes or reduced link rate
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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  • General Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Human Computer Interaction (AREA)
  • General Physics & Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Fluid Mechanics (AREA)
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  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The invention discloses an air treatment equipment intelligent optimization group control device based on 5G communication, which relates to the field of energy-saving artificial intelligence of air conditioners and comprises an air treatment equipment intelligent control module, a water pump intelligent group control module, a remote optimization server, a temperature-humidity sensor, a water flow sensor, a pressure sensor, a water valve controller, air treatment equipment, an air-water surface type heat exchanger, a variable frequency fan and a variable frequency water pump; the intelligent control module of the air treatment equipment and the intelligent group control module of the water pump respectively comprise a data filtering module, an analog data input interface, a data conversion interface, a 5G communication interface, a memory, a control program arithmetic unit and a Modbus/RS485 communication interface. The invention also discloses an air treatment equipment intelligent optimization group control method based on 5G communication. The invention adopts 5G advanced network technology, provides guarantee for the timeliness of global optimization energy-saving group control of a large-scale airport terminal station building centralized air-conditioning system, and lays a foundation for the development of an intelligent control system of the tail-end air treatment equipment.

Description

Air treatment equipment intelligent optimization group control device and method based on 5G communication
Technical Field
The invention relates to the field of energy-saving artificial intelligence of central air conditioners, in particular to an intelligent optimization group control device and method for air processing equipment based on 5G communication.
Background
With the continuous improvement of the living standard of people, the proportion of the building energy consumption in the national economic total energy consumption is improved year by year. According to statistics, the building energy consumption of China reaches about 33% of the total social energy consumption by 2019. Therefore, in the special planning for energy conservation in the middle and long term published by the national improvement committee of 11/25/2004, building energy conservation is established as one of the three major areas. In the special planning of building energy conservation in China, the reduction of the energy consumption of public buildings by 10 percent is proposed, wherein the energy consumption of large public buildings is reduced by 15 percent. The energy consumption of the air conditioning system is considered as a main component (accounting for about 60%) of the energy consumption of the building, so that the energy conservation of the air conditioning system is the key of the energy conservation of the building.
The civil airport terminal building as a typical large public building has the following characteristics that 1) the building area is wide, the window-wall ratio is large, the space is large, and the energy consumption of the unit area is far higher than that of other types of large public buildings; 2) the air conditioning system bears more functional areas, including an arrival area, a check-in area, a security inspection area, a departure hall, an office area, a business area and the like, and the requirements of the functional areas on the air conditioning environment are greatly different; 3) the operation time is long, and the operation is basically all-weather operation. Due to the lack of a corresponding energy-saving control system and method, the tail end air conditioning equipment in different cooling areas mostly adopts a unified manual adjustment mode at present, and the problems of poor thermal comfort of the air conditioning environment or large energy waste such as continuous cooling of unmanned air conditioners and the like exist in most areas due to unreasonable indoor temperature setting. Because the energy consumption of the terminal air-conditioning equipment of the terminal station building is huge, the energy-saving optimization control of the terminal air-conditioning equipment of the terminal station building is more and more concerned by people.
The invention discloses an airport energy-saving air conditioning control system based on flight linkage and zone control, which is disclosed by the invention, wherein the Chinese patent (application) number is CN201820164446.1, and the invention is named as an invention patent of the airport energy-saving air conditioning control system based on flight linkage and zone control. The invention discloses an intelligent control system, method, medium and equipment of terminal air-conditioning equipment of a terminal station building, wherein the number of Chinese patent (application) is CN201910233350.5, and the invention is named as the invention patent of the system, method, medium and equipment for intelligently controlling the terminal air-conditioning equipment of the terminal station building. Although the regional intelligent dynamic control is carried out on the terminal air-conditioning equipment in different cooling areas of the terminal of the.
Therefore, technical personnel in the field are dedicated to developing an intelligent optimization group control device and method for air processing equipment based on 5G communication, the technologies of 5G communication, artificial intelligence, deep learning, Internet of things and the like are combined with air conditioner energy-saving optimization control, and the operation energy consumption of an air conditioning system at the tail end of a terminal station building is further reduced on the premise of ensuring the thermal comfort of a human body.
Disclosure of Invention
In view of the above defects in the prior art, the technical problem to be solved by the invention is to effectively reduce the operation energy consumption of the terminal air conditioning system of the terminal station building, and perform centralized optimization control on the terminal air conditioning equipment cluster of the terminal station building by combining the technologies of artificial intelligence, deep learning, internet of things and the like and the air conditioning energy-saving optimization control.
In order to achieve the purpose, the invention provides an air treatment equipment intelligent optimization group control device based on 5G communication, which comprises an air treatment equipment intelligent control module, a water pump intelligent group control module, a remote optimization server, a first temperature-humidity sensor, a second temperature-humidity sensor, a third temperature-humidity sensor, a fourth temperature-humidity sensor, a first temperature sensor, a second temperature sensor, a water flow sensor, a pressure sensor, a water valve controller, air treatment equipment, an air-water surface type heat exchanger, a variable frequency fan, a fan frequency converter, a variable frequency water pump and a water pump frequency converter;
the intelligent control module of the air processing equipment comprises a first data filtering module, a first analog data input interface, a first data conversion interface, a first 5G communication interface, a first memory, a first control program arithmetic unit, a first Modbus/RS485 communication interface and a first power supply;
the intelligent group control module of the water pump comprises a second data filtering module, a second analog data input interface, a second data conversion interface, a second 5G communication interface, a second memory, a second control program arithmetic unit, a second Modbus/RS485 communication interface and a second power supply;
the air-water surface type heat exchanger and the variable frequency fan are installed in the air treatment equipment, the air-water surface type heat exchanger is positioned at an air inlet of the variable frequency fan, and a plurality of parallel variable frequency water pumps are connected with a plurality of parallel air-water surface type heat exchangers through water pipes to form a terminal air treatment system of the terminal airport terminal;
the fan frequency converter is connected with the variable-frequency fan, and the water pump frequency converter is connected with the variable-frequency water pump; the first temperature-humidity sensor is arranged at a fresh air inlet of the air treatment equipment, the second temperature-humidity sensor is arranged at a return air inlet of the air treatment equipment, the third temperature-humidity sensor is arranged at an air inlet of the air-water surface type heat exchanger, the fourth temperature-humidity sensor is arranged at an air outlet of the variable frequency fan, the first temperature sensor and the water flow sensor are arranged at a water inlet of the air-water surface type heat exchanger, the second temperature sensor and the water valve controller are arranged at a water outlet of the air-water surface type heat exchanger, and the pressure sensor is arranged in a water outlet header pipe of the variable frequency water pump;
the first temperature-humidity sensor, the second temperature-humidity sensor, the third temperature-humidity sensor, the fourth temperature-humidity sensor, the first temperature sensor, the second temperature sensor and the water flow sensor are respectively connected with a data input port of the first data filtering module, and data interfaces of the water valve controller and the fan frequency converter are respectively connected with the first Modbus/RS485 communication interface;
the pressure sensor is connected with a data input port of the second data filtering module, and data interfaces of a plurality of water pump frequency converters are connected with the second Modbus/RS485 communication interface;
the first 5G communication interface and the second 5G communication interface are respectively connected with the remote optimization server.
Further, each of the air treatment units serves an air conditioning area of the terminal building.
Further, the first temperature-humidity sensor and the second temperature-humidity sensor are respectively used for monitoring the temperature and humidity of fresh air and return air of the air processing equipment, the third temperature-humidity sensor is used for monitoring the temperature and humidity of inlet air of the air-water surface type heat exchanger, the fourth temperature-humidity sensor is used for monitoring the temperature and humidity of air supply of the air processing equipment, the first temperature sensor and the second temperature sensor are respectively used for monitoring the temperature of inlet water and the temperature of outlet water of the air-water surface type heat exchanger, the water flow sensor is used for monitoring the water flow in the air-water surface type heat exchanger, the fan frequency converter is used for controlling the operating frequency of the variable frequency fan and monitoring the operating power of the fan, the first memory is loaded with a process control program A, controlling the fan frequency converter and the water valve controller through the operation of the first control program operator to realize the air volume adjustment of the air treatment equipment;
the pressure sensor is used for monitoring the static pressure of a water supply pipe of the terminal air treatment system of the terminal station building, the water pump frequency converter is used for controlling the operating frequency of the variable frequency water pump and monitoring the operating power of the water pump, the second memory is loaded with a B process control program, and the water pump frequency converter is controlled through the operation of the second control program arithmetic unit, so that the circulating cold/hot water quantity regulation of the terminal air treatment system of the terminal station building is realized;
the remote optimization server is loaded with a global optimization energy-saving control program.
Further, the physical analog signals obtained by the first temperature-humidity sensor, the second temperature-humidity sensor, the third temperature-humidity sensor, the fourth temperature-humidity sensor, the first temperature sensor, the second temperature sensor and the water flow sensor sequentially pass through the first data filtering module, the first analog data input interface and the first data conversion interface, and are sent to the global optimization energy-saving control program of the remote optimization server through the first 5G communication interface; a fan running frequency signal and a fan running power signal obtained by the fan frequency converter and a water valve opening degree signal obtained by the water valve controller sequentially pass through the first Modbus/RS485 communication interface and the first data conversion interface and are sent to the global optimization energy-saving control program of the remote optimization server through the first 5G communication interface;
the pressure sensor sequentially passes through the second data filtering module, the second analog data input interface and the second data conversion interface and is sent to the global optimization energy-saving control program of the remote optimization server through the second 5G communication interface; and the water pump frequency converter obtains a water pump running frequency signal and a water pump running power signal, the water pump running frequency signal and the water pump running power signal sequentially pass through the second Modbus/RS485 communication interface and the second data conversion interface, and are transmitted to the global optimization energy-saving control program of the remote optimization server through the second 5G communication interface.
Further, the global optimization energy-saving control program in the remote optimization server calculates an air supply temperature optimization setting value of all the air handling equipment of the terminal air handling system of the terminal station building according to data signals transmitted by the intelligent air handling equipment control module and the intelligent water pump group control module, with the minimum total energy consumption of a fan and a water pump as an optimization target, and the air supply temperature optimization setting value is transmitted to the process control program a in the first memory through the first 5G communication interface, and the process control program a controls the water valve controller according to the air supply temperature optimization setting value of the air handling equipment.
Further, when the air volume of the air processing equipment is larger than or equal to a certain percentage of the rated air volume, the process control program A controls the water valve controller to adjust by taking the set value of the air supply temperature of the air processing equipment as a target, and by taking the return air temperature of the air processing equipment as a control target, the air volume of the air processing equipment is adjusted by the frequency conversion of the fan frequency converter.
Further, when the air volume of the air treatment equipment is smaller than a certain percentage of the rated air volume, the process A control program locks the frequency of the fan frequency converter, the return air temperature of the air treatment equipment is taken as a control target, and the water valve controller is used for adjusting the opening degree of a water valve of the air-water surface type heat exchanger.
And further, the control of the process control program B adopts a variable static pressure control method, a static pressure set value is dynamically optimized and set according to the opening states of water valves of all the air-water surface type heat exchangers, and the operating frequency of the variable frequency water pump is controlled by using the water pump frequency converter by taking the dynamic static pressure set value as a control target.
The invention also provides an air treatment equipment intelligent optimization group control method based on 5G communication, which comprises the following steps:
firstly, obtaining operation data of air treatment equipment through an intelligent control module of the air treatment equipment, wherein the operation data comprises operation frequency and operation power of a variable frequency fan, fresh air and return air temperature and humidity of the air treatment equipment, inlet air temperature and humidity of an air-water surface type heat exchanger, air supply temperature and humidity of the air treatment equipment, inlet water temperature and outlet water temperature and water flow of the air-water surface type heat exchanger and water valve opening degree, and obtaining operation frequency and operation power of each variable frequency water pump and static pressure value of a water supply pipe through an intelligent group control module of the water pump;
secondly, obtaining accurate energy consumption models of the variable frequency fan, the variable frequency water pump and the air-water surface type heat exchanger by an artificial intelligence identification method according to the data information in the first step;
thirdly, predicting the air conditioning load Qdemand of the air conditioning area served by the air treatment equipment at the next moment by adopting an effective prediction model according to historical operating data of the water inlet temperature, the water outlet temperature and the water flow of the air-water surface type heat exchanger;
solving a global optimization energy-saving model of the terminal air treatment system of the terminal of; on the basis of the model established in the second step, establishing a global optimization model which takes the lowest overall energy consumption of a water pump and a fan of the terminal air processing system of the terminal of the;
fifthly, sending the optimized set values of the air supply temperature of each air processing device to an A process control program in a first memory through a first 5G communication interface to realize the optimized control of the air processing devices; and the process B control program in the second memory controls the operating frequency of the variable-frequency water pump by using a water pump frequency converter.
Further, the global optimization energy-saving model of the terminal air handling system of the terminal airport terminal in the fourth step is as follows:
Figure GDA0002461085200000051
s.t.
Fp,i,min≤Fp,i≤Fp,i,max(i＝1,2,……,m)
Ff,j,min≤Ff,j≤Ff,j,max(j＝1,2,……,n)
Figure GDA0002461085200000052
wherein N isp,i(Fp,i) Representing the ith platform that the variable frequency water pump operates at the frequency Fp,iOperating power of Nf,j(Ff,j) Representing the j-th variable frequency fan at the operating frequency Ff,jOperating power of Fp,i,minAnd Fp,i,maxRespectively representing the lower limit value and the upper limit value of the operating frequency of the ith frequency conversion water pump, Ff,j,minAnd Ff,j,maxRespectively represents the lower limit value and the upper limit value of the operating frequency of the jth variable frequency fan,
Figure GDA0002461085200000053
represents the cooling or heating capacity of the jth air treatment device, tex,in,a,jAnd
Figure GDA0002461085200000054
respectively represent the inlet air temperature and the relative humidity, t, of the air-water surface heat exchanger in the j-th air treatment equipmentahu,s,a,jAnd
Figure GDA0002461085200000055
respectively representing the supply air temperature and the relative humidity of the jth air treatment device; t is tex,in,a,jAnd
Figure GDA0002461085200000056
the relative humidity of the air supply of the jth air treatment equipment is usually 90-100%, and the air supply temperature t of the jth air treatment equipment is measured by the third temperature-humidity sensorahu,s,a,jAre the parameters to be optimized.
Compared with the prior art, the invention has the following obvious substantive characteristics and obvious advantages:
1) the large data platform and the artificial intelligence identification technology are adopted, so that the precision of the equipment energy consumption model is ensured; and a high-dimensional optimization model is solved by adopting a biological evolution algorithm, so that the calculation efficiency is improved, and conditions are provided for realizing online optimization control.
2) The 5G network has the multidimensional capability indexes of ultrahigh speed, ultralow time delay, high-speed movement, high energy efficiency, ultrahigh flow, ultrahigh connection number density and the like. The high bandwidth and low delay are achieved, the bandwidth which is high enough can bear tens of thousands of networking devices, the delay which is low enough ensures that data transmission is synchronous and consistent, and guarantee is provided for the effectiveness of global optimization group control of large and ultra-large airport terminal building centralized air-conditioning systems.
3) The 5G network technology can implement communication between machines. The characteristic is that M2M (machine to machine, M2M) is different from the typical characteristics of other applications, and the characteristic gives more 'wisdom' to the control module of the terminal air processing equipment, can realize the mutual learning among the control systems of all the terminal air processing equipment, through the mutual learning, constantly optimizes the control system performance, and fast and accurate response system optimization target, thereby exerting the energy-saving effect of the global optimization energy-saving control of the large-scale and ultra-large-scale airport terminal building centralized air conditioning system to the extreme value.
4) The debugging workload of the control systems of the tail end air treatment equipment can be greatly reduced by a mutual learning mechanism based on 5G, and as long as one control system of the tail end air treatment equipment is debugged or trained, other control systems of the tail end air treatment equipment can automatically learn the debugged control system through the M2M function of the 5G network, so that a large amount of human resources for field debugging can be saved.
The conception, the specific structure and the technical effects of the present invention will be further described with reference to the accompanying drawings to fully understand the objects, the features and the effects of the present invention.
Drawings
Fig. 1 is a schematic structural diagram of a preferred embodiment of the present invention.
Wherein, 1-an air treatment device intelligent control module, 2-a water pump intelligent group control module, 3-a remote optimization server, 4-a first temperature-humidity sensor, 5-a second temperature-humidity sensor, 6-a third temperature-humidity sensor, 7-a fourth temperature-humidity sensor, 8-a first temperature sensor, 9-a second temperature sensor, 10-a water flow sensor, 11-a pressure sensor, 12-a water valve controller, 13-an air treatment device, 14-an air-water surface type heat exchanger, 15-a variable frequency fan, 16-a fan frequency converter, 17-a variable frequency water pump, 18-a water pump frequency converter, 101-a first data filtering module, 102-a first analog data input interface, 103-a first data conversion interface, 104-a first 5G communication interface, 105-a first memory, 106-a first control program arithmetic unit, 107-a first Modbus/RS485 communication interface, 108-a first power supply, 201-a second data filtering module, 202-a second analog data input interface, 203-a second data conversion interface, 204-a second 5G communication interface, 205-a second memory, 206-a second control program arithmetic unit, 207-a second Modbus/RS485 communication interface and 208-a second power supply.
Detailed Description
The technical contents of the preferred embodiments of the present invention will be more clearly and easily understood by referring to the drawings attached to the specification. The present invention may be embodied in many different forms of embodiments and the scope of the invention is not limited to the embodiments set forth herein.
In the drawings, structurally identical elements are represented by like reference numerals, and structurally or functionally similar elements are represented by like reference numerals throughout the several views. The size and thickness of each component shown in the drawings are arbitrarily illustrated, and the present invention is not limited to the size and thickness of each component. The thickness of the components may be exaggerated where appropriate in the figures to improve clarity.
Fig. 1 is a schematic structural diagram of a preferred embodiment of the present invention. As shown in fig. 1, the device of the present invention includes an air processing equipment intelligent control module 1, a water pump intelligent group control module 2, a remote optimization server 3, a first temperature-humidity sensor 4, a second temperature-humidity sensor 5, a third temperature-humidity sensor 6, a fourth temperature-humidity sensor 7, a first temperature sensor 8, a second temperature sensor 9, a water flow sensor 10, a pressure sensor 11, a water valve controller 12, an air processing equipment 13, an air-water surface type heat exchanger 14, a variable frequency fan 15, a fan frequency converter 16, a variable frequency water pump 17, and a water pump frequency converter 18. The intelligent control module 1 of the air processing equipment comprises a first data filtering module 101, a first analog data input interface 102, a first data conversion interface 103, a first 5G communication interface 104, a first memory 105, a first control program arithmetic unit 106, a first Modbus/RS485 communication interface 107 and a first power supply 108; the intelligent group control module 2 of the water pump comprises a second data filtering module 201, a second analog data input interface 202, a second data conversion interface 203, a second 5G communication interface 204, a second memory 205, a second control program arithmetic unit 206, a second Modbus/RS485 communication interface 207 and a second power supply 208; the air-water surface type heat exchanger 14 and the variable frequency fan 15 are installed in the air treatment equipment 13, the air-water surface type heat exchanger 14 is positioned at an air inlet of the variable frequency fan 15, a plurality of variable frequency water pumps 17 connected in parallel are connected with the plurality of air-water surface type heat exchangers 14 connected in parallel through water pipes to form a terminal air treatment system of the terminal station of the terminal of each air of the terminal of; the fan frequency converter 16 is connected with the variable frequency fan 15, and the water pump frequency converter 18 is connected with the variable frequency water pump 17; the first temperature-humidity sensor 4 is arranged at a fresh air inlet of the air treatment equipment 13, the second temperature-humidity sensor 5 is arranged at a return air inlet of the air treatment equipment 13, the third temperature-humidity sensor 6 is arranged at an air inlet of the air-water surface type heat exchanger 14, the fourth temperature-humidity sensor 7 is arranged at an air outlet of the variable frequency fan 15, the first temperature sensor 8 and the water flow sensor 10 are arranged at a water inlet of the air-water surface type heat exchanger 14, the second temperature sensor 9 and the water valve controller 12 are arranged at a water outlet of the air-water surface type heat exchanger 14, and the pressure sensor 11 is arranged in a water outlet header pipe of the variable frequency water pump 17; the system comprises a first temperature-humidity sensor 4, a second temperature-humidity sensor 5, a third temperature-humidity sensor 6, a fourth temperature-humidity sensor 7, a first temperature sensor 8, a second temperature sensor 9 and a water flow sensor 10 which are respectively connected with a data input port of a first data filtering module 101, data interfaces of a water valve controller 12 and a fan frequency converter 16 are respectively connected with a first Modbus/RS485 communication interface 107, a pressure sensor 11 is connected with a data input port of a second data filtering module 201, data interfaces of a plurality of water pump frequency converters 18 are connected with a second Modbus/RS485 communication interface 207, and a first 5G communication interface 104 and a second 5G communication interface 204 are respectively connected with a remote optimization server 3.
An air processing equipment intelligent control module 1 is used for monitoring an air processing equipment 13 independently, a water pump intelligent group control module 2 is used for monitoring a plurality of variable frequency water pumps 17, a first data filtering module 101 and a second data filtering module 201 are used for filtering various physical analog data signals, a first analog data input interface 102 and a second analog data input interface 202 are used for leading in data signals, a first data conversion interface 103 and a second data conversion interface 203 convert various data signals into 5G communication signals, a first 5G communication interface 104 and a second 5G communication interface 204 transmit the 5G communication signals to a remote optimization server 3, a first memory 105 and a second memory 205 are used for storing process control programs, a first control program arithmetic unit 106 and a second control program arithmetic unit 206 are respectively used for operating the process control programs in the first memory 105 and the second memory 205, the first Modbus/RS485 communication interface 107 is used for data communication between the fan frequency converter 16 and the water valve controller 12, the second Modbus/RS485 communication interface 207 is used for data communication between the water pump frequency converter 18, and the first power supply 108 and the second power supply 208 respectively supply power to the air treatment equipment intelligent control module 1 and the water pump intelligent group control module 2.
The first temperature-humidity sensor 4 and the second temperature-humidity sensor 5 are respectively used for monitoring the temperature and the humidity of fresh air and return air of the air processing equipment 13, the third temperature-humidity sensor 6 is used for monitoring the temperature and the humidity of inlet air of the air-water surface type heat exchanger 14, the fourth temperature-humidity sensor 7 is used for monitoring the temperature and the humidity of air supply of the air processing equipment 13, the first temperature sensor 8 and the second temperature sensor 9 are respectively used for monitoring the temperature of inlet water and outlet water of the air-water surface type heat exchanger 14, the water flow sensor 10 is used for monitoring water flow in the air-water surface type heat exchanger 14, the fan frequency converter 16 is used for controlling the running frequency of the variable frequency fan 15 and monitoring the running power of the fan, the first memory 105 is loaded with an A process control program, and through the operation of the first control program arithmetic unit 106, controlling the fan frequency converter 16 and the water valve controller 12 to realize the air volume regulation of the air treatment equipment 13; the pressure sensor 11 is used for monitoring the static pressure of a water supply pipe of the terminal air treatment system of the terminal, the water pump frequency converter 18 is used for controlling the running frequency of the variable frequency water pump 17 and monitoring the running power of the water pump, the second memory 205 is loaded with a B process control program, and the water pump frequency converter 18 is controlled through the operation of the second control program arithmetic unit 206, so that the circulating cold/hot water quantity regulation of the terminal air treatment system of the terminal of the; the remote optimization server 3 is loaded with a global optimization energy-saving control program.
Physical analog signals obtained by a first temperature-humidity sensor 4, a second temperature-humidity sensor 5, a third temperature-humidity sensor 6, a fourth temperature-humidity sensor 7, a first temperature sensor 8, a second temperature sensor 9 and a water flow sensor 10 sequentially pass through a first data filtering module 101, a first analog data input interface 102 and a first data conversion interface 103, and then are sent to a global optimization energy-saving control program of a remote optimization server 3 through a first 5G communication interface 104; a fan running frequency signal and a fan running power signal obtained by the fan frequency converter 16 and a water valve opening degree signal obtained by the water valve controller 12 sequentially pass through the first Modbus/RS485 communication interface 107 and the first data conversion interface 103, and are then sent to the global optimization energy-saving control program of the remote optimization server 3 through the first 5G communication interface 104; meanwhile, the pressure sensor 11 sequentially passes through the second data filtering module 201, the second analog data input interface 202 and the second data conversion interface 203, and then is sent to the global optimization energy-saving control program of the remote optimization server 3 through the second 5G communication interface 204, and the water pump operation frequency signal and the water pump operation power signal obtained by the water pump frequency converter 18 sequentially pass through the second Modbus/RS485 communication interface 207 and the second data conversion interface 203, and then are sent to the global optimization energy-saving control program of the remote optimization server 3 through the second 5G communication interface 204; the global optimization energy-saving control program in the remote optimization server 3 calculates, according to the input signals, the air supply temperature optimization setting values of all the air handling equipment 13 of the terminal air handling system of the terminal station building by taking the total energy consumption of the fans and the water pumps of the terminal air handling system of the terminal station building as an optimization target, and the air supply temperature optimization setting values are sent to the process control program a in the first memory 105 through the first 5G communication interface 104, and the process control program a controls the water valve controller 12 according to the air supply temperature optimization setting values of the air handling equipment 13.
In the present embodiment, the control flow of the a process control program in the first memory 105 includes the following two cases:
case a: when the air volume of the air processing equipment 13 is more than or equal to a certain percentage of the rated air volume, the water valve controller 12 adjusts the air volume of the air processing equipment 13 by using the set value of the air supply temperature of the air processing equipment 13 as a target, and adjusts the air volume of the air processing equipment 13 by using the frequency conversion of the fan frequency converter 16 by using the return air temperature of the air processing equipment 13 as a control target;
case B: when the air volume of the air processing equipment 13 is less than a certain percentage of the rated air volume, the frequency of the fan frequency converter 16 is locked, the return air temperature of the air processing equipment 13 is taken as a control target, and the water valve controller 12 is used for adjusting the opening degree of a water valve of the air-water surface type heat exchanger 14.
In this embodiment, the process B control program in the second memory 205 is controlled by a variable static pressure control method, that is, the static pressure setting value is dynamically and optimally set according to the opening states of the water valves of all the air-water surface type heat exchangers 14, and the operating frequency of the variable frequency water pump 17 is controlled by the water pump frequency converter 18 with the dynamic static pressure setting value as a control target.
In this embodiment, the global optimization energy saving control program in the remote optimization server 3 includes the following key steps:
firstly, obtaining operation data of the air treatment equipment 13 through an intelligent control module 1 of the air treatment equipment, wherein the operation data comprises operation frequency and operation power of a variable frequency fan 15, fresh air and return air temperature and humidity of the air treatment equipment 13, inlet air temperature and humidity of an air-water surface type heat exchanger 14, air supply temperature and humidity of the air treatment equipment 13, inlet water temperature and outlet water temperature and water flow of the air-water surface type heat exchanger 14 and water valve opening degree, and simultaneously obtaining operation frequency and operation power of each variable frequency water pump 17 and static pressure value of a water supply pipe through an intelligent group control module 2 of the water pump;
secondly, obtaining an accurate energy consumption model of the variable frequency fan 15 and the variable frequency water pump 17 and a heat exchange model of the air-water surface type heat exchanger 14 by using an artificial intelligence identification method according to the data information in the first step;
thirdly, according to historical operation data of the water inlet temperature, the water outlet temperature and the water flow of the air-water surface type heat exchanger 14, an effective prediction model is adopted to predict the air conditioning load Q of the air conditioning area in charge of the air treatment equipment 13 at the next momentdemand；
Solving the following formula by using a biological evolution optimization algorithm to obtain an air supply temperature optimization set working condition of the air processing equipment 13;
Figure GDA0002461085200000091
s.t.
Fp,i,min≤Fp,i≤Fp,i,max(i＝1,2,……,m)
Ff,j,min≤Ff,j≤Ff,j,max(j＝1,2,……,n)
Figure GDA0002461085200000092
in the formula, Np,i(Fp,i) Representing the i-th variable frequency water pump 17 at the operating frequency Fp,iOperating power of Nf,j(Ff,j) Represents that the jth variable frequency fan 15 runs at the frequency Ff,jOperating power of Fp,i,minAnd Fp,i,maxRespectively represents the lower limit value and the upper limit value of the operating frequency of the ith variable frequency water pump 17, Ff,j,minAnd Ff,j,maxRespectively represents the lower limit value and the upper limit value of the operating frequency of the jth variable frequency fan 15,
Figure GDA0002461085200000093
represents the cooling or heating capacity of the jth air treatment unit 13, where tex,in,a,jAnd
Figure GDA0002461085200000094
respectively representing the air-water surface in the jth air treatment unit 13Inlet air temperature and relative humidity, t, of the recuperator 14ahu,s,a,jAnd
Figure GDA0002461085200000095
respectively, representing the supply air temperature and relative humidity of the jth air handling unit 13. t is tex,in,a,jAnd
Figure GDA0002461085200000096
the relative humidity of the air supply of the jth air processing equipment 13 is usually 90-100%, and the air supply temperature t of the jth air processing equipment 13 is measured by the third temperature-humidity sensor 6ahu,s,a,jAre the parameters to be optimized.
Step five, the optimized set value of the air supply temperature of each air processing device 13 is sent to the process control program A in the first memory 105 through the first 5G communication interface 104, so that the optimized control of the air processing devices 13 is realized; meanwhile, the B process control program in the second memory 205 controls the operating frequency of the variable frequency water pump 17 using the water pump inverter 18.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.

Claims (1)

1. An air processing equipment intelligent optimization group control method based on 5G communication is characterized in that,
the intelligent optimization group control system of the air treatment equipment for realizing the intelligent optimization group control method of the air treatment equipment comprises the following steps:
the system comprises an air treatment equipment intelligent control module, a water pump intelligent group control module, a remote optimization server, a first temperature-humidity sensor, a second temperature-humidity sensor, a third temperature-humidity sensor, a fourth temperature-humidity sensor, a first temperature sensor, a second temperature sensor, a water flow sensor, a pressure sensor, a water valve controller, air treatment equipment, an air-water surface type heat exchanger, a variable frequency fan, a fan frequency converter, a variable frequency water pump and a water pump frequency converter;
the intelligent control module of the air processing equipment comprises a first data filtering module, a first analog data input interface, a first data conversion interface, a first 5G communication interface, a first memory, a first control program arithmetic unit, a first Modbus/RS485 communication interface and a first power supply;
the intelligent group control module of the water pump comprises a second data filtering module, a second analog data input interface, a second data conversion interface, a second 5G communication interface, a second memory, a second control program arithmetic unit, a second Modbus/RS485 communication interface and a second power supply;
the air-water surface type heat exchanger and the variable frequency fan are installed in the air treatment equipment, the air-water surface type heat exchanger is positioned at an air inlet of the variable frequency fan, and a plurality of parallel variable frequency water pumps are connected with a plurality of parallel air-water surface type heat exchangers through water pipes to form a terminal air treatment system of the terminal airport terminal;
the fan frequency converter is connected with the variable-frequency fan, and the water pump frequency converter is connected with the variable-frequency water pump; the first temperature-humidity sensor is arranged at a fresh air inlet of the air treatment equipment, the second temperature-humidity sensor is arranged at a return air inlet of the air treatment equipment, the third temperature-humidity sensor is arranged at an air inlet of the air-water surface type heat exchanger, the fourth temperature-humidity sensor is arranged at an air outlet of the variable frequency fan, the first temperature sensor and the water flow sensor are arranged at a water inlet of the air-water surface type heat exchanger, the second temperature sensor and the water valve controller are arranged at a water outlet of the air-water surface type heat exchanger, and the pressure sensor is arranged in a water outlet header pipe of the variable frequency water pump;
the first temperature-humidity sensor, the second temperature-humidity sensor, the third temperature-humidity sensor, the fourth temperature-humidity sensor, the first temperature sensor, the second temperature sensor and the water flow sensor are respectively connected with a data input port of the first data filtering module, and data interfaces of the water valve controller and the fan frequency converter are respectively connected with the first Modbus/RS485 communication interface;
the pressure sensor is connected with a data input port of the second data filtering module, and data interfaces of a plurality of water pump frequency converters are connected with the second Modbus/RS485 communication interface;
the first 5G communication interface and the second 5G communication interface are respectively connected with the remote optimization server;
each air handling unit serves an air conditioning area of the terminal building;
the first temperature-humidity sensor and the second temperature-humidity sensor are respectively used for monitoring the temperature and the humidity of fresh air and return air of the air processing equipment, the third temperature-humidity sensor is used for monitoring the temperature and the humidity of inlet air of the air-water surface type heat exchanger, the fourth temperature-humidity sensor is used for monitoring the temperature and the humidity of air supply of the air processing equipment, the first temperature sensor and the second temperature sensor are respectively used for monitoring the temperature of inlet water and the temperature of outlet water of the air-water surface type heat exchanger, the water flow sensor is used for monitoring water flow in the air-water surface type heat exchanger, the fan frequency converter is used for controlling the operating frequency of the variable frequency fan and monitoring the operating power of the fan, the first memory is loaded with an A process control program, controlling the fan frequency converter and the water valve controller through the operation of the first control program operator to realize the air volume adjustment of the air treatment equipment;
the pressure sensor is used for monitoring the static pressure of a water supply pipe of the terminal air treatment system of the terminal station building, the water pump frequency converter is used for controlling the operating frequency of the variable frequency water pump and monitoring the operating power of the water pump, the second memory is loaded with a B process control program, and the water pump frequency converter is controlled through the operation of the second control program arithmetic unit, so that the circulating cold/hot water quantity regulation of the terminal air treatment system of the terminal station building is realized;
the remote optimization server is loaded with a global optimization energy-saving control program;
the physical analog signals obtained by the first temperature-humidity sensor, the second temperature-humidity sensor, the third temperature-humidity sensor, the fourth temperature-humidity sensor, the first temperature sensor, the second temperature sensor and the water flow sensor sequentially pass through the first data filtering module, the first analog data input interface and the first data conversion interface, and are sent to the global optimization energy-saving control program of the remote optimization server through the first 5G communication interface; a fan running frequency signal and a fan running power signal obtained by the fan frequency converter and a water valve opening degree signal obtained by the water valve controller sequentially pass through the first Modbus/RS485 communication interface and the first data conversion interface and are sent to the global optimization energy-saving control program of the remote optimization server through the first 5G communication interface;
the pressure sensor sequentially passes through the second data filtering module, the second analog data input interface and the second data conversion interface and is sent to the global optimization energy-saving control program of the remote optimization server through the second 5G communication interface; a water pump running frequency signal and a water pump running power signal obtained by the water pump frequency converter pass through the second Modbus/RS485 communication interface and the second data conversion interface in sequence and are sent to the global optimization energy-saving control program of the remote optimization server through the second 5G communication interface;
the global optimization energy-saving control program in the remote optimization server calculates and obtains an air supply temperature optimization set value of all air processing equipment of the terminal air processing system of the terminal station building according to data signals transmitted by the intelligent air processing equipment control module and the intelligent water pump group control module, by taking the minimum total energy consumption of a fan and a water pump of the terminal air processing system of the terminal station building as an optimization target, the air supply temperature optimization set value is sent to the A process control program in the first memory through the first 5G communication interface, and the A process control program controls the water valve controller according to the air supply temperature optimization set value of the air processing equipment;
the control of the process control program B adopts a variable static pressure control method, a static pressure set value is dynamically and optimally set according to the opening states of water valves of all the air-water surface type heat exchangers, and the operating frequency of the variable frequency water pump is controlled by using the water pump frequency converter by taking the dynamic static pressure set value as a control target;
when the air volume of the air processing equipment is more than or equal to a certain percentage of the rated air volume, the process A control program controls the water valve controller to adjust by taking the set value of the air supply temperature of the air processing equipment as a target, and the air volume of the air processing equipment is adjusted by utilizing the frequency conversion of the fan frequency converter by taking the return air temperature of the air processing equipment as a control target;
when the air quantity of the air treatment equipment is smaller than a certain percentage of the rated air quantity, the process control program A locks the frequency of the fan frequency converter, and the water valve controller is used for adjusting the opening degree of a water valve of the air-water surface type heat exchanger by taking the return air temperature of the air treatment equipment as a control target;
the intelligent optimization group control method for the air treatment equipment comprises the following steps:
firstly, obtaining operation data of air treatment equipment through an intelligent control module of the air treatment equipment, wherein the operation data comprises operation frequency and operation power of a variable frequency fan, fresh air and return air temperature and humidity of the air treatment equipment, inlet air temperature and humidity of an air-water surface type heat exchanger, air supply temperature and humidity of the air treatment equipment, inlet water temperature and outlet water temperature and water flow of the air-water surface type heat exchanger and water valve opening degree, and obtaining operation frequency and operation power of each variable frequency water pump and static pressure value of a water supply pipe through an intelligent group control module of the water pump;
secondly, obtaining accurate energy consumption models of the variable frequency fan, the variable frequency water pump and the air-water surface type heat exchanger by an artificial intelligence identification method according to the data information in the first step;
thirdly, predicting the air conditioning load Qdemand of the air conditioning area served by the air treatment equipment at the next moment by adopting an effective prediction model according to historical operating data of the water inlet temperature, the water outlet temperature and the water flow of the air-water surface type heat exchanger;
solving a global optimization energy-saving model of the terminal air treatment system of the terminal of;
fifthly, sending the optimized set values of the air supply temperature of each air processing device to an A process control program in a first memory through a first 5G communication interface to realize the optimized control of the air processing devices; the process B control program in the second memory controls the operating frequency of the variable-frequency water pump by using a water pump frequency converter;
the global optimization energy-saving model of the terminal air treatment system of the terminal station building in the step four is as follows:
Figure FFW0000023069690000051
s.t.
Fp，i，min≤Fp，i≤Fp，i，max(i＝1，2，……，m)
Ff，j，min≤Ff，j≤Ff，j，max(j＝1，2，……，n)
Figure FFW0000023069690000052
wherein N isp，i(Fp，i) Representing the ith platform that the variable frequency water pump operates at the frequency Fp，iOperating power of Nf，j(Ff，j) Representing the j-th variable frequency fan at the operating frequency Ff，jOperating power of Fp，i，minAnd Fp，i，maxRespectively representing the lower limit value and the upper limit value of the operating frequency of the ith frequency conversion water pump, Ff，j，minAnd Ff，j，maxRespectively represents the lower limit value and the upper limit value of the operating frequency of the jth variable frequency fan,
Figure FFW0000023069690000053
represents the cooling or heating capacity of the jth air treatment device, tex，in，a，jAnd
Figure FFW0000023069690000054
respectively represent the inlet air temperature and the relative humidity, t, of the air-water surface heat exchanger in the j-th air treatment equipmentahu，s，a，jAnd
Figure FFW0000023069690000055
respectively representing the supply air temperature and the relative humidity of the jth air treatment device; t is tex，in，a，jAnd
Figure FFW0000023069690000056
the relative humidity of the air supply of the jth air treatment equipment is usually 90-100%, and the air supply temperature t of the jth air treatment equipment is measured by the third temperature-humidity sensorahu，s，a，jAre the parameters to be optimized.
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