CN113739371A - Central air-conditioning system based on cloud cooperation and control method thereof - Google Patents

Central air-conditioning system based on cloud cooperation and control method thereof Download PDF

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Publication number
CN113739371A
CN113739371A CN202111015161.4A CN202111015161A CN113739371A CN 113739371 A CN113739371 A CN 113739371A CN 202111015161 A CN202111015161 A CN 202111015161A CN 113739371 A CN113739371 A CN 113739371A
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control
central air
temperature
cold
cloud
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CN113739371B (en
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胡佳
杨瑞
谭江浩
董海雷
李申
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Guangzhou Huidian Cloud Internet Technology Co ltd
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Guangzhou Huidian Cloud Internet 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
    • F24F11/56—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
    • F24F11/30—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
    • F24F11/47—Responding to energy costs
    • 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
    • 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
    • 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

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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 provides a central air-conditioning system based on cloud cooperation and a control method thereof, wherein the system comprises: the system comprises a central air conditioning device, a local sensing control device and a cloud analysis control device; the plurality of local sensing control devices are respectively used for acquiring the operation data and the energy consumption data of the corresponding central air-conditioning equipment and sending the operation data and the energy consumption data to the cloud end analysis and control device; and the cloud analysis management and control device is used for analyzing the operation data and the energy consumption data of the central air-conditioning equipment and performing overall optimization control according to the analysis result. According to the invention, the operation data and the energy consumption data of each central air-conditioning equipment are monitored and then uploaded to the cloud analysis and control device, the cloud analysis and control device analyzes the operation data and the energy consumption data, then provides a real-time optimized operation strategy based on the principle of optimal system energy efficiency, and regulates and controls each central air-conditioning equipment, so that the comfort of the central air-conditioning equipment is ensured, and the overall energy-saving rate is improved.

Description

Central air-conditioning system based on cloud cooperation and control method thereof
Technical Field
The invention relates to the technical field of building energy conservation and intelligent control, in particular to a central air-conditioning system based on cloud cooperation, a control method thereof and a computer readable storage medium.
Background
The control technology of the existing central air-conditioning system comprises centralized control, wherein the centralized control realizes the interlocking start-stop control by controlling a water chilling unit, a freezing pump, a cooling tower and the like in a centralized manner. However, the centralized control technique has the following disadvantages:
centralized control: the method needs to carry out local automatic control networking, all devices of the central air-conditioning system are connected in a networking mode, lower-level devices in the networking respectively send operation data of the lower-level devices to middle-level devices, then the middle-level devices upload the operation data and send the data to a higher-level control center, then the control center sends corresponding regulation and control commands to the middle-level devices according to the operation data of the lower-level devices, the middle-level devices transmit the operation data to the lower-level devices, and finally the lower-level devices execute the regulation and control commands, long system deployment time is needed for each operation, related acquisition hardware, communication hardware and related configuration software need to be configured on the lower-level devices in the local networking, and configuration cost is high.
Therefore, a better central air conditioning system control technology is needed to realize energy saving control.
Disclosure of Invention
In order to solve the problems, the invention provides a central air conditioning system based on cloud cooperation, a control method thereof and a computer readable storage medium, wherein operation data and energy consumption data of each central air conditioning device are monitored and then uploaded to a cloud analysis and control device, the cloud analysis and control device analyzes the whole operation data and energy consumption data of the central air conditioning device, then a real-time optimized operation strategy is provided based on the principle that the system energy efficiency is optimal and the terminal temperature and humidity comfort degree is ensured, and each central air conditioning device is regulated and controlled, so that the problems of long deployment time and high configuration cost of the centralized control technology system of the existing central air conditioning system are solved.
The invention provides a central air conditioning system based on cloud cooperation, which comprises: the system comprises a central air conditioning device, a local sensing control device and a cloud analysis control device;
the central air-conditioning equipment comprises one or more of cold and heat source equipment, a freezing pump, a cooling tower, a combined air-conditioning box, a fresh air unit and a fan coil;
the plurality of local sensing control devices are respectively used for acquiring the running data and the energy consumption data of the corresponding central air-conditioning equipment and sending the running data and the energy consumption data to the cloud end analysis and control device;
the cloud analysis management and control device is used for analyzing the operation data and the energy consumption data of the central air-conditioning equipment and performing overall optimization control according to the analysis result.
Preferably, the plurality of local sensing control devices are respectively used for acquiring the corresponding operation data and energy consumption data of the central air conditioning equipment and sending the operation data and energy consumption data to the cloud analysis and control device; it is a plurality of local sensing control device is including indoor humiture monitoring module, cooling tower intelligence accuse module, cooling pump intelligence accuse module, cold and heat source equipment intelligence accuse module, freezing pump intelligence accuse module, air conditioning box intelligence accuse module, fresh air unit intelligence accuse module, fan coil pipe intelligence accuse module and energy consumption measurement module.
Preferably, a plurality of local sensing control devices are in communication connection with the cloud analysis management and control device through the internet of things.
Preferably, the Internet of things comprises one or more of Bluetooth, Wi-Fi, Zigbee, NB-IoT and Lora.
Preferably, the control instruction includes an individual control instruction and a cooperative control instruction, and the cloud analysis management and control device is configured to determine to issue the individual control instruction or the cooperative control instruction according to a terminal temperature and humidity overrun condition and an actual operation energy efficiency ratio of the cold and heat source device.
Preferably, the cloud analysis management and control device is used for independently controlling one or more of a fresh air handling unit, a refrigeration pump, a cooling tower, a cooling pump, cold and heat source equipment, a combined air conditioning box and a fan coil to operate after issuing the independent control instruction;
the cloud analysis management and control device is used for cooperatively controlling various operations in the fresh air handling unit, the freezing pump, the cooling tower, the cooling pump, the cold and heat source equipment, the combined air conditioning box and the fan coil after issuing the cooperative control instruction.
Preferably, the cloud analysis management and control device is configured to, after issuing the individual control instruction, individually control one or more operations of a fresh air handling unit, a refrigeration pump, a cooling tower, a cooling pump, cold and heat source equipment, a combined air conditioning box, and a fan coil according to the following control modes:
judging and adjusting the air supply temperature, the air supply relative humidity or the fresh air volume of the fresh air unit according to the indoor and outdoor temperatures acquired in real time and the operation parameters of the fresh air unit;
determining the operation number of the freezing pumps or performing variable frequency control according to the operation parameters of the freezing pumps and the corresponding cooling targets;
adjusting the outlet water temperature of the cooling water of the cooling tower according to the outdoor temperature and humidity acquired in real time and the corresponding cooling target;
adjusting the cooling water flow of the cooling pump according to the operation data of the cooling pump and the corresponding cooling target;
adjusting a water supply or return temperature set value of cold and heat source equipment according to the operation data of the cold and heat source equipment and a corresponding cooling target;
adjusting the air supply temperature, the air supply relative humidity or the carbon dioxide concentration of the combined air-conditioning box according to the operation data of the combined air-conditioning box and the corresponding terminal load target;
and adjusting the air supply temperature, the air supply relative humidity or the air supply quantity of the fan coil according to the operation data of the fan coil and the corresponding terminal load target.
Preferably, the cloud analysis management and control device is configured to cooperatively control multiple operations in the fresh air handling unit, the refrigeration pump, the cooling tower, the cooling pump, the cold and heat source device, the combined air conditioning cabinet and the fan coil according to the following control modes after issuing the cooperative control instruction:
respectively adjusting the outlet water temperatures of cold and heat source equipment and a cooling tower according to preset cooperative control adjustment parameters; the cooperative control and regulation parameters comprise a cold and heat source equipment outlet water temperature set value and a cooling tower cooling water outlet water temperature set value;
judging and adjusting the air supply temperature, the air supply relative humidity or the fresh air volume of the fresh air unit according to the indoor and outdoor temperatures acquired in real time and the operation parameters of the fresh air unit;
determining the operation number of the freezing pumps or performing variable frequency control according to the operation parameters of the freezing pumps and the corresponding cooling targets;
adjusting the outlet water temperature of the cooling water of the cooling tower according to the outdoor temperature and humidity acquired in real time and the corresponding cooling target;
adjusting the air supply temperature, the air supply relative humidity or the carbon dioxide concentration of the combined air-conditioning box according to the operation data of the combined air-conditioning box and the corresponding terminal load target;
and adjusting the air supply temperature, the air supply relative humidity or the air supply quantity of the fan coil according to the operation data of the fan coil and the corresponding terminal load target.
Preferably, the cloud analysis management and control device is further configured to:
firstly, determining a new outlet water temperature set value of cold and heat source equipment according to the terminal temperature and humidity out-of-limit condition;
and after energy-saving control is carried out on the cold and heat source equipment for a preset time according to the updated set value of the outlet water temperature of the cold and heat source equipment, the total energy consumption before and after adjustment of the central air-conditioning system is obtained and analyzed, and a new set value of the outlet water temperature of the cooling water of the cooling tower is determined.
The invention provides a control method of a central air-conditioning system based on cloud coordination, which is applied to the central air-conditioning system based on cloud coordination, and the control method comprises the following steps:
the plurality of local sensing control devices are respectively used for acquiring the corresponding operation data and energy consumption data of the central air-conditioning equipment and sending the operation data and the energy consumption data to the cloud end analysis and control device;
and the cloud analysis control device analyzes the operation data and the energy consumption data of the central air-conditioning equipment and performs overall optimization control according to an analysis result.
A third aspect of the present invention provides a computer-readable storage medium, on which a computer program is stored, the computer program being executed by a processor to implement the above-mentioned method for controlling a central air conditioning system based on cloud coordination.
Compared with the prior art, the embodiment of the invention has the beneficial effects that:
the operation data and the energy consumption data of each central air-conditioning unit are monitored and then uploaded to the cloud analysis and control device, the cloud analysis and control device analyzes the whole operation data and the energy consumption data of the central air-conditioning unit, then a real-time optimized operation strategy is provided based on the principle that the system energy efficiency is optimal and the terminal temperature and humidity comfort level is ensured, each central air-conditioning unit is subjected to regulation control, the comfort of the central air-conditioning unit is ensured, and the whole energy saving rate is improved.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a central air conditioning system based on cloud coordination according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a corresponding relationship between a refrigerator and a terminal device according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating a method for controlling a central air conditioning system based on cloud coordination according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be understood that the step numbers used herein are for convenience of description only and are not intended as limitations on the order in which the steps are performed.
It is to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The terms "comprises" and "comprising" indicate the presence of the described features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The term "and/or" refers to and includes any and all possible combinations of one or more of the associated listed items.
A first aspect.
The invention provides a central air-conditioning system 100 based on cloud collaboration, which comprises: the system comprises a central air conditioning device 110, a local sensing control device 120 and a cloud analysis management and control device 130.
The central air conditioning unit 110 includes one or more of a cold and heat source unit, a freezing pump, a cooling tower, a combined air conditioning box, a fresh air handling unit, and a fan coil. The local sensing control devices 120 include a plurality of local sensing control devices 120, and the plurality of local sensing control devices 120 are respectively configured to obtain corresponding operation data and energy consumption data of the central air conditioning equipment 110, and all transmit the operation data and the energy consumption data to the cloud analysis management and control device 130. The cloud analysis management and control device 130 is configured to analyze the operation data and the energy consumption data of the central air conditioning equipment 110, and perform overall optimization control according to an analysis result.
The embodiment of the present invention seeks an optimal control scheme for cooperative work among the cold and heat source devices, the refrigeration pump, the cooling tower, the combined air conditioning box, the fresh air handling unit, and the fan coil in the central air conditioning system 100, with the purpose of saving energy consumption.
Specifically, the cold and heat source equipment comprises a water chilling unit, a water-ground source heat pump unit, an air source heat pump unit, a direct-fired unit, an electric boiler, an electric heat storage boiler, a gas boiler, an oil-fired boiler and the like.
Further, it is a plurality of local sensing control device 120 includes that module is controlled to indoor humiture monitoring module, cooling tower intelligence, module is controlled to cooling pump intelligence, module is controlled to cold and heat source equipment intelligence, module is controlled to refrigeration pump intelligence, module is controlled to air conditioning case intelligence, module is controlled to new trend unit intelligence, module and energy consumption measurement module are controlled to fan coil intelligence.
The indoor temperature and humidity monitoring module is used for acquiring the indoor temperature and humidity of a local building.
The cooling tower intelligence control module is used for obtaining the operating parameter of cooling tower, for example outdoor wet bulb temperature (be environment humiture), cooling water temperature of intaking and cooling water temperature of leaving etc to and be arranged in according to the cooling tower quantity that drops into, the operation quantity of cooling tower fan in the instruction adjustment cooling tower group that high in the clouds analysis management and control device 130 issued, thereby adjust the air quantity that gets into the cooling tower, and then influence the cooling water temperature of leaving of cooling tower.
The intelligent control module of the cooling pump is used for acquiring the operation parameters of the cooling pump, such as the cooling water inlet temperature and the cooling water outlet temperature of the cooling pump, and adjusting the operation frequency of the cooling pump according to the instruction issued by the cloud analysis management and control device 130, so as to adjust the flow rate of the cooling water.
The intelligent control module of the cold and heat source device is used for acquiring the operation parameters of the refrigerator, such as the chilled water outlet temperature, the chilled water flow rate, the chilled water inlet temperature and the like of the cold and heat source device, and adjusting the operation quantity, the water supply or return water temperature set value of the refrigerator according to the instruction issued by the cloud analysis and control device 130.
The intelligent control module of the freezing pump is used for obtaining the operation parameters of the freezing pump, such as the type of the freezing pump, the temperature difference of the supply and return water of the freezing water and the like, and adjusting the operation quantity of the freezing pump or performing frequency conversion control according to the instruction issued by the cloud analysis management and control device 130.
The intelligent control module of the air conditioning box is used for acquiring the operation data of the combined air conditioning box, such as the inlet temperature and outlet temperature of chilled water, the temperature and humidity of return air and the like, and adjusting the air supply temperature, air supply relative humidity and carbon dioxide (CO) of the air conditioning box according to the instruction issued by the cloud analysis and control device 1302) Concentration, etc.
The intelligent control module of the fresh air handling unit is used for acquiring the operating parameters of the fresh air handling unit, such as indoor and outdoor temperatures acquired in real time, and adjusting the air supply temperature, air supply relative humidity and carbon dioxide (CO) of the fresh air handling unit according to the instruction issued by the cloud analysis and control device 1302) Concentration, fresh air volume, etc.
The intelligent control module of the fan coil is used for acquiring the operating parameters of the fan coil, such as the inlet cold water temperature and the outlet cold water temperature of the fan coil, and adjusting the air supply temperature, the air supply relative humidity, the air supply amount and the like of the fan coil according to the instruction issued by the cloud analysis and control device 130.
The energy consumption metering module is configured to obtain power consumption of each central air-conditioning device 110, calculate a corresponding operation energy efficiency ratio, and then send a calculation result to the cloud analysis management and control device 130, where the cloud analysis management and control device 130 issues a corresponding control instruction to the local sensing control device 120 based on a principle that system energy efficiency is optimal and a terminal temperature and humidity comfort level is ensured, so that the local sensing control device 120 performs adjustment control on the corresponding central air-conditioning device 110.
The operation data and the energy consumption data of each central air-conditioning equipment 110 are monitored and then uploaded to the cloud analysis and control device 130, the cloud analysis and control device 130 analyzes the whole operation data and the energy consumption data of the central air-conditioning equipment 110, then a real-time optimized operation strategy is provided based on the principle that the system energy efficiency is optimal and the terminal temperature and humidity comfort level is ensured, and each central air-conditioning equipment 110 is adjusted and controlled, so that the comfort of the central air-conditioning equipment is ensured, and the whole energy saving rate is improved.
In a specific embodiment, a plurality of the local sensing control devices 120 are in communication connection with the cloud analysis management and control device 130 through the internet of things.
Unlike the traditional building autonomous system which needs to perform local system networking, in the embodiment of the invention, the local system networking is not needed, and the data of the local intelligent control device is directly uploaded to the cloud analysis and control device 130 through the internet of things, so that the system deployment time is greatly reduced, and the operation effect of the central air conditioner is not influenced.
For example, as shown in fig. 2, taking a plurality of coolers and a plurality of fan coils as examples, the first cooler 210, the second cooler 220, the third cooler 230, the fourth cooler 240 and the fifth cooler 250 are respectively provided with an intelligent control module for cold and heat source equipment, and the first fan coil, the second fan coil, the third fan coil and the fourth fan coil are respectively provided with an intelligent control module for fan coils. Every other preset time period, the intelligent control module of the cold and heat source equipment acquires running data of a corresponding refrigerator, namely running data of a first refrigerator 210, running data of a second refrigerator 220, running data of a third refrigerator 230, running data of a fourth refrigerator 240 and running data of a fifth refrigerator 250, and the intelligent control module of the fan coil acquires running data of a corresponding fan coil, namely running data of the first fan coil, running data of the second fan coil, running data of the third fan coil and running data of the fourth fan coil. Wherein the preset time period is manually preset time period, and can be 30s, 1min, 5min, 10min and the like; and the preset time period can be adjusted at any time according to the requirement.
The corresponding intelligent control module of the cold and heat source equipment respectively uploads the running data of the first cooler 210, the running data of the second cooler 220, the running data of the third cooler 230, the running data of the fourth cooler 240 and the running data of the fifth cooler 250 to the cloud analysis and control device 130 through the internet of things, the corresponding intelligent control module of the fan coil respectively uploads the running data of the first fan coil, the running data of the second fan coil, the running data of the third fan coil and the running data of the fourth fan coil to the cloud analysis and control device 130 through the internet of things, running data and energy consumption data of the central air conditioning equipment 110 are uploaded without a mode of networking through a local system, and data transmission time is shortened.
Optionally, the Internet of things comprises one or more of Bluetooth, Wi-Fi, Zigbee, NB-IoT and Lora.
In a specific embodiment, the cloud analysis management and control device 130 is configured to analyze the operation data and the energy consumption data of each central air-conditioning equipment 110 according to an expert rule base and a data model analysis base, and then issue a corresponding control instruction to the central air-conditioning equipment 110 according to an analysis result, so that the central air-conditioning equipment 110 operates or is turned off according to the corresponding control instruction.
The cloud analysis control device 130 of the embodiment of the present invention stores an expert rule base and a data model analysis base.
The expert rule base stores therein empirical operating ranges of different central air conditioning units 110 determined based on a priori knowledge.
Taking the chiller as an example, the operation data of the chiller includes the evaporation pressure (temperature), the condensation pressure (temperature) and the suction and exhaust temperature data of the chiller. For a refrigerator adopting a certain refrigerant type, when the refrigerator operates normally, a specific empirical operation range exists in evaporation pressure, condensation pressure and the like, and the empirical operation range can be determined according to priori knowledge. If the operation data of the cold machine exceeds the corresponding reasonable range, representing that the operation of the cold machine has risks; for example, the risk of freezing the evaporator is brought by the low evaporation pressure, the centrifuge surge is easily caused by the high condensation pressure under partial load, and the exhaust gas temperature can be judged to be in a reasonable range by relying on the prior knowledge. And so on, forming expert rules. Based on the expert rule base for different types of coolers, the cloud analysis management and control device 130 judges the uploaded operation data of the coolers according to the principle, and the analysis result shows whether the current operation parameters of the coolers are reasonable or not and whether the normal and stable operation of the coolers can be influenced or not.
The data model analysis library stores model parameters of the local central air-conditioning equipment 110, such as the number and location distribution of the local central air-conditioning equipment 110, the mutual correspondence between the equipment, the rated operation range of the equipment, and the like.
Continuing with the example of the chiller, as shown in fig. 2, the number of local chillers is 10, which are respectively the first chiller 210, the second chiller 220, the third chiller 230, the fourth chiller 240, the fifth chiller 250, the first backup chiller 310, the second backup chiller 320, the third backup chiller 330, the fourth backup chiller 340, and the fifth backup chiller 350. Wherein the rated chilled water outlet temperature of the cold machine is 7 ℃, the rated chilled water return temperature is 12 ℃, and the supply-return temperature difference is 5 ℃.
The terminal equipment in the central air-conditioning equipment is a device capable of obtaining cold air by heat exchange with chilled water or a refrigerant, and mainly comprises a fan coil, an air processor, a temperature control switch and a water flow control valve (a two-way valve). Illustratively, the number of end devices is 5, first end device 410, second end device 420, third end device 430, fourth end device 440, and fifth end device 450, respectively. As shown in fig. 2, the correspondence between the refrigerator and the end device includes: the first end device 410 is controlled by the first chiller 210, the second chiller 220, and the first backup chiller 310; the second end device 420 is controlled by the second chiller 220, the third chiller 230, and the second backup chiller 320; the third end device 430 is controlled by the first chiller 210, the fourth chiller 240, and the third backup chiller 330; the fourth end device 440 is controlled by the fourth chiller 240, the fifth chiller 250, and the fourth backup chiller 340; the fifth end device 450 is controlled by the fifth chiller 250, the third chiller 230, and the fifth backup chiller 350.
After the cloud analysis management and control device 130 acquires the operation data and the energy consumption data of the refrigerator and the end device, the cloud analysis management and control device 130 analyzes the operation data and the energy consumption data of the refrigerator and the end device according to the expert rule base and the data model analysis base, and then issues a corresponding control instruction to the intelligent control module of the cold and heat source device and the intelligent control module corresponding to the end device according to an analysis result, so that the refrigerator and the end device operate or close according to the corresponding control instruction.
In one embodiment, the control command includes an individual control command and a cooperative control command.
The cloud analysis management and control device 130 is used for individually controlling one or more of a fresh air handling unit, a refrigeration pump, a cooling tower, a cooling pump, cold and heat source equipment, a combined air conditioning box and a fan coil after issuing the individual control instruction.
The cloud analysis management and control device 130 is used for cooperatively controlling various operations in the fresh air handling unit, the refrigeration pump, the cooling tower, the cooling pump, the cold and heat source equipment, the combined air conditioning box and the fan coil after issuing the cooperative control instruction.
In a specific embodiment, the cloud analysis management and control device 130 is configured to determine to issue the individual control instruction or the cooperative control instruction according to a terminal temperature and humidity overrun condition and an actual operation energy efficiency ratio of the cold and heat source device.
Specifically, in one example, the cloud analysis management and control device 130 determines to issue the individual control command or the cooperative control command according to an overrun condition of a maximum end temperature and an actual operation energy efficiency ratio of the cold and heat source device.
First all the end temperature measurements T are takenEnd tip(TEnd 1、TEnd 2、TEnd 3、……TEnd tipn, n are positive integers). For all end temperature measurements TEnd tipSorting the sizes to obtain the maximum end temperature measured value TEnd max。
Obtaining the refrigerating capacity and the power consumption of all the cold and heat source equipment, and calculating the operation energy efficiency ratio of the cold and heat source equipment by the following formula:
Figure BDA0003239567470000121
wherein COP is the operation energy efficiency ratio of the cold and heat source equipment, Q is the refrigerating capacity of the cold and heat source equipment, and W is the power consumption of the cold and heat source equipment.
Judgment of TEnd maxWhether it is greater than a preset terminal temperature threshold T0And judging whether the actual operation energy efficiency ratio of the cold and heat source equipment is smaller than the preset operation energy efficiency ratio.
When the cloud analysis management and control device 130 determines that the maximum end temperature measurement value is not exceeded and the actual operation energy efficiency ratio of the cold and heat source device is less than the preset operation energy efficiency ratio, i.e. TEnd max≤T0And COPPractice of＜COPPreset ofAnd issuing the single control instruction. Wherein the preset operation energy efficiency ratio of the cold and heat source equipment can be (70%, 80%)]Any value of (a). For example, the cold-heat source device preset operation energy efficiency ratio COPPreset of70% F, COPPractice ofIf the energy efficiency ratio is less than 70%, the actual operation energy efficiency ratio of the cold and heat source equipment is not up to the standard. Thus, on the basis of meeting the requirements of the comfort degree of each terminal, one or more of the fresh air handling unit, the refrigerating pump, the cooling tower, the cooling pump, the cold and heat source equipment, the combined air conditioning box and the fan coil are controlled to operate according to set operating parameters, so that the total energy consumption of the central air conditioning system 100 can be further reduced.
Because of the strong coupling relationship between the devices of the central air-conditioning system 100, the change of the operation parameter of a single device may cause the operation state of other devices to change. When the cloud analysis control device 130 determines that the maximum end temperature measurement value exceeds the limit, i.e. TEnd max＞T0The cooperative control command is issued to make the end temperature meet the comfort requirement, and the operation of the central air-conditioning equipment 110 is controlled by the cooperative control command to make the total of the central air-conditioning system 100The energy consumption is minimum.
In another example, the issuing of the individual control instruction or the cooperative control instruction is determined according to the terminal temperature overrun condition of the target area and the preset operation energy efficiency ratio of the cold and heat source equipment.
This embodiment differs from the above embodiments in that the maximum tip temperature measurement T is not usedEnd maxThe over-limit condition of the terminal temperature is judged, and the over-limit condition is judged by using the terminal temperature measured value of the target area, such as an area with large cold load demand, such as an office area, a market, a kitchen and the like. Determining a terminal temperature measurement T of a target areaTarget areaWhether it is greater than a preset terminal temperature threshold T0And judging whether the actual operation energy efficiency ratio of the cold and heat source equipment is smaller than the preset operation energy efficiency ratio. Determining the terminal temperature measurement T of the target area in the cloud analysis management and control device 130Target areaWhen the actual operation energy efficiency ratio of the cold and heat source equipment is smaller than the preset operation energy efficiency ratio without exceeding the limit, namely TTarget area≤T0And COPPractice of＜COPPreset ofAnd issuing the single control instruction. Determining the terminal temperature measurement T of the target area in the cloud analysis management and control device 130Target areaAt overrun, i.e. TTarget area＞T0The cooperative control command is issued so that the terminal temperature meets the requirement of comfort, and the operation of the central air conditioning unit 110 is controlled by the cooperative control command so that the total energy consumption of the central air conditioning system 100 is minimized.
Referring to fig. 1, in a certain embodiment, the cloud analysis management and control device 130 is configured to, after issuing the individual control instruction, individually control one or more of a fresh air handling unit, a refrigeration pump, a cooling tower, a cooling pump, a cold and heat source device, a combined air conditioning box, and a fan coil to operate according to the following control manners:
judging and adjusting the air supply temperature, the air supply relative humidity or the fresh air volume of the fresh air unit according to the indoor and outdoor temperatures acquired in real time and the operation parameters of the fresh air unit;
determining the operation number of the freezing pumps or performing variable frequency control according to the operation parameters of the freezing pumps and the corresponding cooling targets;
adjusting the outlet water temperature of the cooling water of the cooling tower according to the outdoor temperature and humidity acquired in real time and the corresponding cooling target;
adjusting the cooling water flow of the cooling pump according to the operation data of the cooling pump and the corresponding cooling target;
adjusting a water supply or return temperature set value of cold and heat source equipment according to the operation data of the cold and heat source equipment and a corresponding cooling target;
adjusting the air supply temperature, the air supply relative humidity or the carbon dioxide concentration of the combined air-conditioning box according to the operation data of the combined air-conditioning box and the corresponding terminal load target;
and adjusting the air supply temperature, the air supply relative humidity or the air supply quantity of the fan coil according to the operation data of the fan coil and the corresponding terminal load target.
In the embodiment of the present invention, the control strategy adopted for controlling the fresh air handling unit is as follows: and judging and adjusting the fresh air volume of the fresh air handling unit according to the indoor and outdoor temperatures acquired in real time. Specifically, when the outdoor temperature is higher than the indoor temperature, the fresh air unit is adjusted and set to the minimum fresh air volume requirement. When the outdoor temperature is lower than a certain value of the indoor temperature, the cloud analysis management and control device 130 issues an adjustment command to the fresh air handling unit to increase the fresh air volume, so that the adjustment load of the central air conditioning system 100 can be reduced by fully utilizing the external fresh air. Particularly, the control strategy adjustment has no judgment prerequisite, and real-time operation is carried out every time based on a data acquisition period, so that whether the fresh air volume of the fresh air handling unit is adjusted or not is judged.
The types of the freezing pump comprise a fixed-frequency freezing pump and a variable-frequency freezing pump, and the control strategy adopted by the freezing pump is divided into two aspects: when the freezing pump is in a fixed frequency, the starting and stopping control is mainly carried out, and the number of the started water pumps is determined according to the number of the started cold machines. When the refrigeration pump is the frequency conversion water pump, especially, use more in the engineering for primary pump constant flow, secondary pump variable flow system, carry out frequency conversion control to this secondary pump and mainly divide into two kinds of modes: and controlling based on the temperature difference of the secondary side water supply and return water or the pressure difference of the worst loop at the tail end. The control strategy is set according to actual project requirements, for example, different control modes and relevant control parameters are adopted, and corresponding control is performed.
The control strategy adopted for the cooling tower is as follows: under certain outdoor wet bulb temperature (namely environment humiture), the quantity of air entering the cooling tower is adjusted by changing the quantity of cooling towers and the operating frequency of fans of the cooling towers in the cooling tower group, and the outlet water temperature of cooling water is further influenced. The control strategies are divided into two types: one is that the outlet water temperature control target of the cooling water is directly set, and then the outlet water temperature of the cooling water of the cooling tower set is adjusted according to the control target; the other method is to directly set the cold amplitude, namely to set the difference between the outlet water temperature of the cooling water and the outdoor wet bulb temperature, and then to adjust the outlet water temperature of the cooling water of the cooling tower set according to the difference. Similarly, the cloud analysis management and control device 130 controls the cooling tower according to specific setting modes and parameters.
The control strategy adopted for the cooling pump is as follows: and adjusting the running frequency of the cooling pump according to the set temperature difference of the cooling water inlet and outlet of the cooling pump, thereby adjusting the flow rate of the cooling water.
The control strategy adopted for the cold and heat source equipment is as follows: and adjusting the set value of the water supply or return temperature of the chilled water according to the operation data of the cold and heat source equipment and the corresponding cooling target.
The control strategy adopted for the combined air conditioning box is as follows: adjusting the supply air temperature, supply air relative humidity or carbon dioxide (CO) of the modular air conditioning cabinet based on the operational data and the corresponding end load target of the modular air conditioning cabinet2) And (4) concentration.
The control strategy adopted for the fan coil is as follows: and adjusting the air supply temperature, the air supply relative humidity or the air supply quantity of the fan coil according to the operation data of the fan coil and the corresponding terminal load target.
Referring to fig. 1, in a specific embodiment, the cloud analysis management and control device 130 is configured to cooperatively control multiple operations of a fresh air handling unit, a refrigeration pump, a cooling tower, a cooling pump, a cold and heat source device, a combined air conditioning box, and a fan coil according to the following control manners after issuing the cooperative control instruction:
respectively adjusting the outlet water temperatures of cold and heat source equipment and a cooling tower according to preset cooperative control adjustment parameters; the cooperative control and regulation parameters comprise a cold and heat source equipment outlet water temperature set value and a cooling tower cooling water outlet water temperature set value.
Judging and adjusting the air supply temperature, the air supply relative humidity or the fresh air volume of the fresh air unit according to the indoor and outdoor temperatures acquired in real time and the operation parameters of the fresh air unit;
determining the operation number of the freezing pumps or performing variable frequency control according to the operation parameters of the freezing pumps and the corresponding cooling targets;
adjusting the outlet water temperature of the cooling water of the cooling tower according to the outdoor temperature and humidity acquired in real time and the corresponding cooling target;
adjusting the air supply temperature, the air supply relative humidity or the carbon dioxide concentration of the combined air-conditioning box according to the operation data of the combined air-conditioning box and the corresponding terminal load target;
and adjusting the air supply temperature, the air supply relative humidity or the air supply quantity of the fan coil according to the operation data of the fan coil and the corresponding terminal load target.
In the embodiment of the present invention, the cloud analysis management and control apparatus 130 has the following policy for cooperative control of all devices:
since the devices of the central air-conditioning system 100 have a strong coupling relationship, that is, the operation state of other devices changes due to the change of the operation parameter of a single device, the cloud analysis management and control apparatus 130 needs to use the minimum overall energy consumption as a control target in the cooperative control. The total energy consumption is obtained by accumulating the collected energy consumption of each device.
Specifically, the adjustment parameters during cooperative control include the outlet water temperature setting of the cold and heat source equipment and the outlet water temperature setting of the cooling water of the cooling tower. The control logics of the fresh air handling unit, the cooling pump, the freezing pump and the like are the same as the single equipment control logic (except for the fresh air handling unit, the fresh air handling unit always operates in a dynamic judgment energy consumption optimal mode).
In one embodiment, the cloud analysis and control device 130 sets the set value of the outlet water temperature of the cold and heat source device and the set value of the outlet water temperature of the cooling water of the cooling tower according to the following manner:
firstly, determining a new outlet water temperature set value of cold and heat source equipment according to the terminal temperature and humidity out-of-limit condition;
after energy-saving control is performed on the cold and heat source equipment for a preset time according to the updated set value of the outlet water temperature of the cold and heat source equipment, total energy consumption before and after adjustment of the central air-conditioning system 100 is obtained and analyzed, and a new set value of the outlet water temperature of cooling water of the cooling tower is determined.
In the stable operation stage of the central air conditioning system 100, first, preferably, the set value of the outlet water temperature of the cold and heat source equipment is adjusted, an adjustment step length of the set value of the outlet water temperature of the cold and heat source equipment is determined according to the terminal temperature and humidity out-of-limit condition, and then a new set value of the outlet water temperature of the cold and heat source equipment is set according to the adjustment step length. In one embodiment, when the temperature and humidity at the tail end are within the limit values, the outlet water temperature of the water chilling unit exists in the upper adjusting space (the direction of energy consumption reduction of the water chilling unit), and therefore the direction of water temperature adjustment can be determined. Then, considering the change of weather data (environment temperature), the change direction of the size of the terminal load can be predicted, and the specific adjusting step can be determined by combining the margin of the terminal temperature lower than the limit value.
Specifically, the temperature margin of the standard-reaching end equipment is calculated, and the minimum value is taken. For the summer cooling working condition, if the terminal temperature is lower than the current terminal temperature set limit value, the current terminal temperature allowance is equal to the terminal temperature upper set limit value-terminal temperature measured value; for the winter heating condition, the current terminal temperature allowance is equal to a terminal temperature measurement value-a terminal temperature lower limit value. And further predicting the size change of the terminal load according to the weather data to obtain the change trend of the terminal load along with the time. The size of the adjusting step length of the set value of the outlet water temperature of the cold and heat source equipment is determined by the current terminal temperature allowance and the change trend of the terminal load along with the time, the set value of the outlet water temperature of the cold and heat source equipment is equal to the original outlet water temperature set value plus or minus the size of the adjusting step length, and finally the set value of the outlet water temperature of the cold and heat source equipment is increased or decreased, so that the energy-saving effect is achieved.
And adjusting the set value of the outlet water temperature of the cooling water of the cooling tower after the system is stabilized for a short time. Specifically, the set direction of the cooling water outlet temperature of the cooling tower is determined according to the change of the front and rear total energy consumption of the central air-conditioning system 100. The above steps are repeated, and the overall energy consumption of the system is continuously and dynamically optimized, so that each central air-conditioning unit 110 is adjusted to the direction of reducing the total energy consumption.
Further, in order to determine the set values of the outlet water temperatures of the different types of cold and heat source devices, in a specific embodiment, the cloud analysis management and control device 130 is further configured to:
when the cold and heat source equipment is a water chilling unit, a water-ground source heat pump unit or an air source heat pump unit, judging the operation mode of the cold and heat source equipment;
when the operation mode of the cold and heat source equipment is judged to be a refrigeration mode, determining that the adjustment step length is a positive value so as to improve the set value of the outlet water temperature of the cold and heat source equipment;
and when the operation mode of the cold and heat source equipment is judged to be a heating mode, determining that the adjustment step length is a negative value so as to improve the set value of the outlet water temperature of the cold and heat source equipment.
For different cold and heat source devices, the cloud analysis management and control device 130 has different specific energy saving control modes, and can achieve the energy saving effect of the cold and heat source devices.
Specifically, for a cold and heat source device that considers both the cooling and heating modes, such as a chiller, a ground source heat pump, or an air source heat pump, when the cold and heat source device is in the cooling mode and the heating mode, the direction of reducing the energy consumption of the cold and heat source device is different.
Taking the water chilling unit as an example, when the water chilling unit is in a refrigeration mode, if the temperature and humidity at the tail end are judged to be within the set limit value, the set value of the outlet water temperature of the water chilling unit exists in the upward adjustment space (the direction of energy consumption reduction of the water chilling unit), and accordingly the direction of water temperature adjustment can be determined to be the upward adjustment water temperature. The direction of the magnitude change of the terminal load can be predicted by considering the change of weather data (environmental temperature), and the specific adjusting step can be determined by combining the terminal temperature margin. That is, the specific energy saving control of the cloud analysis management and control device 130 of the cold and heat source device is based on the premise of meeting the terminal temperature and humidity target, and when the chiller is in the refrigeration mode and has an adjustment space, the set value of the outlet water temperature of the chiller is increased, so that the energy consumption of the chiller is reduced.
Illustratively, when the operation mode of the water chilling unit is judged to be the cooling mode, the adjusting step is determined to be a positive value, the size of the adjusting step is assumed to be i delta T, wherein i is an adjusting parameter, i is 1, 2 and 3 … … n, n is a positive integer, delta T is a single step, and in one embodiment, delta T is 0.1 ℃, and the set value T of the outlet water temperature of the water chilling unit is combined with the allowance that the tail end temperature is lower than the set limit value1Original water temperature set value T0+ the size of the step size n Δ T. The n of the adjusting step length is determined by the terminal temperature margin and the variation trend of the terminal load capacity along with the time, and when the terminal load capacity is changed for a certain time, the larger the terminal temperature margin is, the larger the n is; when the terminal temperature margin is constant, n is larger as the terminal load amount changes. Finally, the set value of the outlet water temperature of the water chilling unit is improved, and the energy-saving effect is achieved.
When the water chilling unit is in a heating mode, if the temperature and humidity at the tail end are judged to be within the set limit value, a set value of the water outlet temperature of the water chilling unit exists in a down-regulation space (the direction of energy consumption reduction of the water chilling unit), and accordingly the direction of water temperature regulation can be determined to be the down-regulation water temperature. The direction of the magnitude change of the terminal load can be predicted by considering the change of weather data (environmental temperature), and the specific adjusting step can be determined by combining the terminal temperature margin. That is, the specific energy saving control of the cloud analysis management and control device 130 of the cold and heat source device is based on the premise of meeting the terminal temperature and humidity target, and when the chiller is in the heating mode and has an adjusting space, the set value of the outlet water temperature of the chiller is reduced, so that the energy consumption of the chiller is reduced.
Illustratively, when the operation mode of the water chilling unit is judged to be the heating mode, the adjusting step length is determined to be a negative value, and the set value of the outlet water temperature of the water chilling unit is equal to the size of the original outlet water temperature set value-the adjusting step length in combination with the allowance that the tail end temperature is lower than the set limit value. The size of the adjusting step length is determined by the change trend of the terminal temperature allowance and the terminal load along with the time, and finally the set value of the outlet water temperature of the water chilling unit is reduced to achieve the energy-saving effect.
Similarly, for other cold and heat source devices, the operating parameters of the cold and heat source devices can be adjusted to achieve the purpose of energy conservation. For example, under the condition of meeting the requirements of the terminal temperature and humidity, the water outlet temperature set value of the unit can be increased in the refrigeration mode and reduced in the heating mode for the ground source heat pump unit or the air source heat pump unit.
Further, in order to determine the set values of the outlet water temperatures of the different types of cold and heat source devices, in a specific embodiment, the cloud analysis management and control device 130 is further configured to:
and when the cold and heat source equipment is a direct-fired unit, an electric boiler, an electric heat storage boiler, a gas boiler or an oil boiler, determining that the adjusting step length is a negative value so as to improve the set value of the outlet water temperature of the cold and heat source equipment.
For heat sources such as an electric boiler, an electric heat storage boiler, a gas boiler and an oil-fired boiler, the energy consumption of the heat source equipment is reduced, and the outlet water temperature set value is reduced, so that the cloud analysis control device 130 can achieve the energy-saving effect of the heat source equipment in a mode of reducing the outlet water temperature set value of the heat source equipment.
In another embodiment, the cloud analysis management and control device 130 is configured to, after issuing the cooperative control instruction, cooperatively control a plurality of operations in the fresh air handling unit, the refrigeration pump, the cooling tower, the cooling pump, the cold and heat source device, the combined air conditioning box, and the fan coil according to the following global optimization control manner:
1. the cloud analysis management and control device 130 acquires the required refrigeration capacity and the terminal temperature and humidity;
2. the cloud analysis management and control device 130 determines cold and heat source devices to be started according to the capacity of each cold and heat source device; meanwhile, determining the number of cooling pumps and the number of refrigerating pumps to be started and the number of cooling towers to be put into operation according to the started cold and heat source equipment;
3. the cloud analysis management and control device 130 generates a combination of the outlet water temperature of the chilled water and the inlet water temperature of the cooling water of the cold and heat source equipment according to the terminal wet bulb temperature;
4. selecting the chilled water outlet temperature and the cooling water inlet temperature of cold and heat source equipment in the combination one by one as calculation input, calculating the power consumption of the cold and heat source equipment and the required cooling water flow under the condition of meeting the required refrigerating capacity, simultaneously calculating the rotating speed and the power consumption of a cooling pump and a freezing pump under the condition of meeting the required cooling water flow, and calculating the running number, the rotating speed and the power consumption of cooling tower fans under the condition of meeting the required cooling water flow and meeting the heat dissipation capacity;
5. the cloud analysis management and control device 130 obtains the total energy consumption of the central air conditioning system 100 under different combinations of the chilled water temperature of the cold and heat source equipment and the inlet water temperature of the cooling water according to the operation parameters of the cold and heat source equipment, the cooling tower, the cooling pump and the freezing pump;
6. the cloud analysis and control device 130 outputs the temperature of the chilled water in the cold and heat source equipment, the temperature of the inlet water of the cooling water, and the operation settings of the cooling tower, the cooling pump and the freezing pump when the central air conditioning system 100 consumes the minimum total energy.
7. Judging and adjusting the air supply temperature, the air supply relative humidity or the fresh air volume of the fresh air unit according to the indoor and outdoor temperatures acquired in real time and the operation parameters of the fresh air unit;
8. adjusting the air supply temperature, the air supply relative humidity or the carbon dioxide concentration of the combined air-conditioning box according to the operation data of the combined air-conditioning box and the corresponding terminal load target;
9. and adjusting the air supply temperature, the air supply relative humidity or the air supply quantity of the fan coil according to the operation data of the fan coil and the corresponding terminal load target.
The global optimization constraints and optimization objectives of the central air-conditioning system 100 are as follows:
1) constraint conditions are as follows: output cooling capacity Q of the central air conditioning system 100chillerNeed to satisfy the cold load requirement QloadI.e. Qchiller＝Qload。
2) Optimizing the target: the central air conditioning system 100 has the minimum total energy consumption, i.e., min (Σ (P))chiller,Ppump,Ptower))＝min(Σpchiller+Σppump+Σptower)，Pchiller、Ppump、PtowerRespectively the total power consumption of the cold and heat source equipment, the refrigerating pump, the cooling pump and the cooling tower.
Generally speaking, when global optimization cooperative control is adopted, cooperative control is carried out on cold and heat source equipment, a freezing pump, a cooling pump and a cooling tower, and the fresh air handling unit, the combined air conditioning box, the fan coil and the like adopt control logic which is the same as that of the single equipment (except the fresh air handling unit, the fresh air handling unit always operates in a dynamic judgment energy consumption optimal mode).
Thus, through unified collaborative management and control of the cloud analysis management and control device 130, the data processing efficiency of the central air conditioning system 100 is improved, the data transmission time is reduced, and the overall energy saving rate is improved.
A second aspect.
Referring to fig. 3, the present invention further provides a control method of a central air conditioning system based on cloud coordination, which is applied to the central air conditioning system 100 based on cloud coordination according to any one of the above embodiments, and the control method includes the following steps:
s10, the local sensing control devices 120 are respectively configured to obtain corresponding operation data and energy consumption data of the central air conditioning equipment 110, and all of the operation data and the energy consumption data are sent to the cloud analysis management and control device 130;
s20, the cloud analysis management and control device 130 analyzes the operation data and the energy consumption data of the central air conditioning equipment 110, and performs overall optimization control according to the analysis result.
According to the central air conditioning system control method based on cloud cooperation, the operation data and the energy consumption data of each central air conditioning device 110 are monitored and then uploaded to the cloud analysis and control device 130, the cloud analysis and control device 130 analyzes the whole operation data and the energy consumption data of the central air conditioning devices 110, then a real-time optimized operation strategy is provided based on the principle that the system energy efficiency is optimal and the terminal temperature and humidity comfort degree is ensured, and each central air conditioning device 110 is adjusted and controlled, so that the comfort of a central air conditioner is ensured, and the whole energy saving rate is improved.
It should be noted that, the method for controlling a central air conditioning system based on cloud coordination provided in the embodiment of the present invention corresponds to the central air conditioning system 100 based on cloud coordination in the embodiment of the present invention, and the description of the method for controlling a central air conditioning system based on cloud coordination specifically refers to the description of the central air conditioning system 100 based on cloud coordination, and is not repeated herein.
In a third aspect.
The invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for controlling the central air-conditioning system based on cloud coordination in the second aspect of the present application is implemented.

Claims (10)

1. The utility model provides a central air conditioning system based on high in clouds is collaborative which characterized in that includes: the system comprises a central air conditioning device, a local sensing control device and a cloud analysis control device;
the central air-conditioning equipment comprises one or more of cold and heat source equipment, a freezing pump, a cooling tower, a combined air-conditioning box, a fresh air unit and a fan coil;
the plurality of local sensing control devices are respectively used for acquiring the running data and the energy consumption data of the corresponding central air-conditioning equipment and sending the running data and the energy consumption data to the cloud end analysis and control device;
the cloud analysis management and control device is used for analyzing the operation data and the energy consumption data of the central air-conditioning equipment and performing overall optimization control according to the analysis result.
2. The cloud collaboration-based central air conditioning system as claimed in claim 1, wherein the plurality of local sensing control devices comprise an indoor temperature and humidity monitoring module, a cooling tower intelligent control module, a cooling pump intelligent control module, a cold and heat source equipment intelligent control module, a refrigerating pump intelligent control module, an air conditioning box intelligent control module, a fresh air unit intelligent control module, a fan coil intelligent control module and an energy consumption metering module.
3. A cloud collaboration-based central air conditioning system as claimed in claim 2, wherein the plurality of local sensing control devices are in communication connection with the cloud analysis management and control device through the internet of things.
4. A cloud collaboration based central air conditioning system as claimed in claim 3, wherein the internet of things comprises one or more of bluetooth, Wi-Fi, Zigbee, NB-IoT and Lora.
5. A cloud collaboration-based central air conditioning system as claimed in any one of claims 1 to 4, wherein the control instructions comprise an individual control instruction and a collaborative control instruction, and the cloud analysis management and control device is configured to determine to issue the individual control instruction or the collaborative control instruction according to a terminal temperature and humidity overrun condition and an actual operation energy efficiency ratio of a cold and heat source device.
6. The cloud collaboration-based central air conditioning system as claimed in claim 5, wherein the cloud analysis management and control device is configured to, after issuing the individual control instruction, individually control one or more of a fresh air handling unit, a refrigeration pump, a cooling tower, a cooling pump, a cold and heat source device, a combined air conditioning box and a fan coil to operate according to the following control modes:
judging and adjusting the air supply temperature, the air supply relative humidity or the fresh air volume of the fresh air unit according to the indoor and outdoor temperatures acquired in real time and the operation parameters of the fresh air unit;
determining the operation number of the freezing pumps or performing variable frequency control according to the operation parameters of the freezing pumps and the corresponding cooling targets;
adjusting the outlet water temperature of the cooling water of the cooling tower according to the outdoor temperature and humidity acquired in real time and the corresponding cooling target;
adjusting the cooling water flow of the cooling pump according to the operation data of the cooling pump and the corresponding cooling target;
adjusting a water supply or return temperature set value of cold and heat source equipment according to the operation data of the cold and heat source equipment and a corresponding cooling target;
adjusting the air supply temperature, the air supply relative humidity or the carbon dioxide concentration of the combined air-conditioning box according to the operation data of the combined air-conditioning box and the corresponding terminal load target;
and adjusting the air supply temperature, the air supply relative humidity or the air supply quantity of the fan coil according to the operation data of the fan coil and the corresponding terminal load target.
7. The central air-conditioning system based on cloud collaboration as claimed in claim 5, wherein the cloud analysis management and control device is configured to cooperatively control multiple operations of a fresh air handling unit, a refrigeration pump, a cooling tower, a cooling pump, a cold and heat source device, a combined air-conditioning box and a fan coil according to the following control modes after issuing the cooperative control instruction:
respectively adjusting the outlet water temperatures of cold and heat source equipment and a cooling tower according to preset cooperative control adjustment parameters; the cooperative control and regulation parameters comprise a cold and heat source equipment outlet water temperature set value and a cooling tower cooling water outlet water temperature set value;
judging and adjusting the air supply temperature, the air supply relative humidity or the fresh air volume of the fresh air unit according to the indoor and outdoor temperatures acquired in real time and the operation parameters of the fresh air unit;
determining the operation number of the freezing pumps or performing variable frequency control according to the operation parameters of the freezing pumps and the corresponding cooling targets;
adjusting the outlet water temperature of the cooling water of the cooling tower according to the outdoor temperature and humidity acquired in real time and the corresponding cooling target;
adjusting the air supply temperature, the air supply relative humidity or the carbon dioxide concentration of the combined air-conditioning box according to the operation data of the combined air-conditioning box and the corresponding terminal load target;
and adjusting the air supply temperature, the air supply relative humidity or the air supply quantity of the fan coil according to the operation data of the fan coil and the corresponding terminal load target.
8. A cloud collaboration-based central air conditioning system as claimed in claim 7, wherein said cloud analysis management and control device is further configured to:
firstly, determining a new outlet water temperature set value of cold and heat source equipment according to the terminal temperature and humidity out-of-limit condition;
and after energy-saving control is carried out on the cold and heat source equipment for a preset time according to the updated set value of the outlet water temperature of the cold and heat source equipment, the total energy consumption before and after adjustment of the central air-conditioning system is obtained and analyzed, and a new set value of the outlet water temperature of the cooling water of the cooling tower is determined.
9. A control method for a central air-conditioning system based on cloud coordination, which is applied to the central air-conditioning system based on cloud coordination according to any one of claims 1 to 8, and comprises the following steps:
the plurality of local sensing control devices are respectively used for acquiring the corresponding operation data and energy consumption data of the central air-conditioning equipment and sending the operation data and the energy consumption data to the cloud end analysis and control device;
and the cloud analysis control device analyzes the operation data and the energy consumption data of the central air-conditioning equipment and performs overall optimization control according to an analysis result.
10. A computer-readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the method of claim 9.
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CN114234373A (en) * 2021-12-16 2022-03-25 珠海格力电器股份有限公司 Control method and device of fresh air environmental control unit and fresh air environmental control unit
CN114279053A (en) * 2021-12-24 2022-04-05 湖北华工能源股份有限公司 Central air-conditioning system based on COP band theory and control method
CN114413439A (en) * 2021-12-31 2022-04-29 深圳达实智能股份有限公司 Self-learning-based central air conditioner operation expert database management method and system
CN114738928A (en) * 2022-06-09 2022-07-12 武汉慧联无限科技有限公司 Central air-conditioning system management method and device, Internet of things platform and storage medium
CN115052312A (en) * 2022-06-22 2022-09-13 广东纽恩泰新能源科技发展有限公司 Wireless communication method, device, equipment and storage medium of heat pump equipment

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