CN114413428B - Central air conditioner - Google Patents

Central air conditioner Download PDF

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Publication number
CN114413428B
CN114413428B CN202210088865.2A CN202210088865A CN114413428B CN 114413428 B CN114413428 B CN 114413428B CN 202210088865 A CN202210088865 A CN 202210088865A CN 114413428 B CN114413428 B CN 114413428B
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air cooling
compressor
compressors
waterway
cooling module
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CN114413428A (en
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张德凯
王瑞佳
林文涛
任兆亭
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Qingdao Hisense Hitachi Air Conditioning System Co Ltd
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Qingdao Hisense Hitachi Air Conditioning System 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
    • 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
    • F24F11/86—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling compressors within refrigeration or heat pump circuits
    • 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
    • F24F2110/10—Temperature
    • F24F2110/12—Temperature of the outside air
    • 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
    • F24F2140/20—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

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Signal Processing (AREA)
  • Human Computer Interaction (AREA)
  • Fluid Mechanics (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Thermal Sciences (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

A central air conditioner comprising: a plurality of air cooling modules having one or more compressors disposed therein; and a plurality of waterway terminals respectively in fluid connection with the air cooling module; further comprises: a cloud control platform communicatively coupled to the air cooling module and configured to perform one or more of: acquiring working states of a plurality of waterway terminals; predicting and calculating the output rate of the air cooling module matched with the external heat load; and determining the air cooling module put into operation according to the predicted and calculated output rate of the air cooling module, and controlling the number of available compressors put into operation so as to synchronously increase and decrease the total refrigeration capacity and the external heat load to match. The invention relies on the cloud control platform to adjust the number of the air cooling modules and the available compressors which need to be put into operation along with the change of external load at any time, so that the refrigerating capacity of the unit and the external heat load are synchronously increased and decreased to achieve optimal matching, and the unit always operates under optimal efficiency.

Description

Central air conditioner
Technical Field
The invention relates to the technical field of air conditioners, in particular to a central air conditioner.
Background
In recent years, there has been a general demand for central air conditioning systems that have low energy consumption in facilities, meet environmental protection requirements, and operate intelligently in emerging urban buildings, especially high-rise buildings. The design of the central air conditioning system is indispensible and complements with the optimal selection and accurate control of the matched equipment.
The air-cooling module unit is represented by the traditional wired network and wireless network functions of the central air conditioner, only the remote detection and control of the unit are realized, and only the switch, the working mode and the set temperature of the unit can be controlled to complete the basic functions. Conventional control is also implemented by a processor built into the unit itself. The local processor has limited operation capability, limitation on operation complexity and operation precision, and especially cannot cope with complex environmental loads of a plurality of using terminals of the central air conditioner.
Disclosure of Invention
In order to overcome the limitation of the operation complexity and the operation accuracy of a local processor and cope with the complex environmental load of a plurality of using terminals of the central air conditioner, the invention provides the central air conditioner.
A central air conditioner comprising:
the air cooling modules are provided with one or more compressors; and
the water channel terminals are respectively in fluid connection with the air cooling module;
the central air conditioner further includes:
the cloud control platform is in communication connection with the air cooling module; the cloud control platform is configured to perform one or more of the following operations:
acquiring working states of a plurality of waterway terminals;
predicting and calculating the output rate of the air cooling module matched with the external heat load; and
and determining the air cooling module put into operation according to the predicted and calculated output rate of the air cooling module, and controlling the number of available compressors put into operation so as to synchronously increase and decrease the total refrigeration capacity and the external heat load to match.
According to the central air conditioner provided by the invention, cloud collection data is realized by depending on a cloud control platform, the operation parameters of a waterway terminal are obtained, the use output rate required to be achieved by combining air cooling modules in the future is predicted through complex loading and unloading calculation based on a multi-parameter data model of the cloud control platform, the air cooling modules which are put into operation are further determined according to the prediction calculation of the use output rate, and control instructions are directly sent to the air cooling modules to control the number of available compressors put into operation, so that the optimal efficiency load output of a unit is realized, and meanwhile, the service life of the unit is prolonged.
Drawings
Fig. 1 is a schematic block diagram of a central air conditioner according to the present invention;
fig. 2 is a schematic diagram of an alternative communication path between an NB-IoT wireless communication module and a cloud control platform in a central air conditioner according to the present invention;
FIG. 3 is a flow chart of a cloud control platform;
FIG. 4 is a flow chart of the cloud control platform when acquiring the working states of a plurality of waterway terminals;
FIG. 5 is a first flowchart of the cloud control platform predicting the output rate of the air cooling module that matches the external thermal load;
FIG. 6 is a second flowchart of the cloud control platform predicting the output rate of the air cooling module that matches the external thermal load;
FIG. 7 is a first flowchart of the cloud control platform controlling the number of compressors put into operation according to the predicted calculated output rate of the air cooling module to increase or decrease the cooling capacity synchronously with the external heat load and match the cooling capacity with the external heat load;
FIG. 8 is a layered control architecture for all available compressors in an air cooled module;
FIG. 9 is a first flowchart of the cloud control platform controlling the number of compressors put into operation according to the predicted calculated output rate of the air cooling module to increase and match the cooling capacity with the external heat load synchronously under the layered architecture shown in FIG. 8;
FIG. 10 is a first flowchart of the cloud control platform controlling the number of compressors put into operation according to the predicted calculated output rate of the air cooling module to reduce and match the cooling capacity with the external heat load synchronously under the layered architecture shown in FIG. 8;
fig. 11 is a second flowchart when the cloud control platform controls the number of compressors put into operation according to the output rate of the air cooling module calculated by prediction so as to increase and match the cooling capacity with the external heat load synchronously under the layered architecture shown in fig. 8.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden on the person of ordinary skill in the art based on the embodiments of the present invention, are intended to be within the scope of the present application.
In the description of the present application, it should be understood that the terms "center," "upper," "lower," "front," "rear," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate description of the present application and simplify the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be configured and operated in a particular orientation, and therefore should not be construed as limiting the present application.
In the description of the present application, it should be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or an implicit indication of the number of technical features being indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the terms in this application will be understood by those of ordinary skill in the art in a specific context.
The central air conditioner shown in fig. 1 is exemplified by a modular air-cooled (hot) water unit 10. The modularized air-cooled (hot) water unit 10 is a cold (hot) water unit formed by combining a plurality of air-cooled modules 11 in parallel, and each air-cooled module 11 comprises one or more refrigeration compressors, a water-cooled heat exchanger, an air-cooled heat exchanger and a local controller. Such a central air conditioner may provide cold or hot water for industrial or building air conditioning. Because the modularized air-cooled chiller unit only adopts the air-cooled heat exchanger to exchange heat with the air heat source, the modularized air-cooled chiller unit has obvious advantages in the aspects of saving water sources, occupying space, saving cooling water pumps, cooling towers and the like.
From the standpoint of the refrigeration cycle, the above-described central air conditioner is similar to the modular air-cooled (hot) water unit in the related art, and the heating and refrigeration cycle is also performed by a compressor, a condenser, a throttle device, and an evaporator. The heating and cooling cycle includes a series of processes involving compression, condensation, expansion and evaporation to provide cold or hot water for industrial or building air conditioning. The low-temperature low-pressure refrigerant enters the compressor, the compressor compresses the refrigerant gas into a high-temperature high-pressure state, and the compressed refrigerant gas is discharged. The discharged refrigerant gas flows into a condenser, the condenser condenses the compressed refrigerant into a liquid phase, and heat is released to the surrounding environment through a condensation process. The throttle device expands the liquid-phase refrigerant in a high-temperature and high-pressure state formed by condensation in the condenser into a low-pressure liquid-phase refrigerant. The evaporator evaporates the refrigerant expanded in the throttle device and returns the refrigerant gas in a low-temperature and low-pressure state to the compressor. The evaporator may achieve a cooling effect by exchanging heat with a material to be cooled (e.g., water) using latent heat of evaporation of a refrigerant. Throughout the cycle, the central air conditioner may provide cold or hot water for industrial or building air conditioning. The cold water or hot water under the set working conditions provided by the cold (hot) water unit is further pressurized by a water pump according to the requirement and is sent to the end device of each air-conditioning room, namely a waterway terminal 22 through a pipeline. The waterway terminal 22 is represented by a fan coil, cold water and hot water exchange heat in the fan coil, air is treated (cooled or warmed), heat (cold) load of an air-conditioning room is released to the cold (hot) water, and residual moisture is condensed under water drops to maintain the required temperature and humidity in the air-conditioning room, so that the aim of air conditioning is fulfilled. In this embodiment, the waterway terminal 22 may be of a vertical type, a horizontal type, a ceiling type, or the like. The waterway terminal 22 may be a hot water tank or a heating terminal in addition to the fan coil.
The water-cooled heat exchanger and the air-cooled heat exchanger are used as a condenser or an evaporator. When the air-cooled heat exchanger is used as a condenser, the central air conditioner works as a water chilling unit; when the air-cooled heat exchanger is used as an evaporator, the central air conditioner operates as a hot water unit. The central air conditioner is provided with a four-way reversing valve, and the flow direction of the refrigerant in the refrigeration cycle system is changed through the switching of the four-way reversing valve, so that two functions of cooling in summer and heating in winter are realized.
During refrigeration, the compressor works to enable the inside of the water-cooled heat exchanger (the evaporator at the moment) to be in an ultralow pressure state, the liquid refrigerant in the water-cooled heat exchanger rapidly evaporates and absorbs heat, the temperature of water in the pipeline is reduced, and cold water is further sent to the waterway terminal 22 and subjected to heat exchange in the waterway terminal 22, so that air is cooled. Taking a fan coil as an example, the air blown by the fan is changed into cold air and then sent into a room. After the evaporated and gasified refrigerant in the water-cooled heat exchanger is pressurized by the compressor, the evaporated and gasified refrigerant is condensed into a liquid state in a high-pressure environment in the air-cooled heat exchanger (a condenser at the moment), heat is released, and the heat is emitted into the atmosphere through the outdoor fan, so that the refrigerating effect is achieved through circulation. During heating, the gaseous refrigerant is pressurized by the compressor to become high-temperature high-pressure gas, the gas enters the water-cooled heat exchanger (a condenser at the moment), condensing and liquefying are carried out to release heat to become liquid, meanwhile, water in the pipeline is heated, the hot water is further sent to the waterway terminal 22 and is subjected to heat exchange in the waterway terminal 22, the temperature of the air is raised, and the air blown by the fan is changed into warm air to be sent into a room by taking a fan coil as an example. The liquid refrigerant is decompressed by the throttling device, enters an air-cooled heat exchanger (an evaporator at the moment), evaporates, gasifies and absorbs heat to become gas, and simultaneously absorbs heat of outdoor air (the outdoor air becomes colder) to become gaseous refrigerant, and enters the compressor again to start the next cycle.
As shown in fig. 1, the central air conditioner includes a plurality of air cooling modules 11 and a plurality of waterway terminals 22. One or more compressors are provided in each air cooling module 11. The compressor is a compressor with adjustable capacity, and alternating current is supplied to the compressor through a frequency conversion device. When the output frequency of the frequency conversion device changes, the rotating speed of the compressor changes, and different air conditioning capacities are realized. The air cooling module 11 is provided with an outdoor unit main board, and the outdoor unit main board is preferably configured to carry a local controller, and the local controller is configured to drive the frequency conversion device to work, receive and process sampling signals of various sensors, and implement necessary communication functions. The number of the local controllers may be the same as the number of the air cooling modules 11, the number of the compressors may be the same, or all the compressors may be driven by one local controller. The local controller is preferably implemented by a processing chip, such as a single-chip microcomputer or other integrated circuit that also has input and output ports. The air cooling module 11 is provided with a wire controller 13 in a matching way, and a display interface for controlling start and stop and performing other operations is arranged on the wire controller 13. In this embodiment, the central air conditioner is also provided with a cloud control platform 30. The cloud control platform 30 is communicatively coupled to a local controller. The cloud control platform 30 can adjust (open or close) the number of compressors to be put into operation at any time along with the change of external load, so that the unit refrigerating capacity and the external heat load are synchronously increased or decreased to achieve optimal matching. The unit always operates at optimum efficiency. In each air cooling module 11, two compressors are typically designed with two independent refrigeration circuits, and the cloud control platform 30 may automatically operate each refrigeration circuit sequentially in a stepwise manner. When maintenance is needed, the backup air cooling module 11 can be started for local maintenance, so that the running reliability of the whole unit is improved. Because the compressors in each air cooling module 11 in the modularized air cooling water chiller are started or shut down one by one, the impact of starting current on surrounding power grids is small, and the capacity of power distribution equipment is small. Specifically, the cloud control platform 30 performs a plurality of steps as shown in fig. 3.
Step S100: and acquiring the working states of a plurality of waterway terminals. The working state of the waterway terminal mainly comprises the opening and closing state of the waterway terminal, the set temperature of the waterway terminal when the waterway terminal is started, the current room temperature of the air-conditioning room and the like. The environmental parameters of the central air conditioner are known by acquiring the working states of the plurality of waterway terminals, and the acquired working states of the plurality of waterway terminals are used as the basis for evaluating the external heat load of the central air conditioner.
Step S200: and predicting and calculating the output rate of the air cooling module matched with the external heat load. Depending on the working states of the plurality of waterway terminals obtained in the step S100, the use output rate required to be achieved by the air cooling module combination in the future is predicted through cloud computing.
Step S300: and determining an air cooling module put into operation according to the predicted and calculated output rate of the air cooling module, and controlling the number of available compressors to be operated so as to increase and decrease the total refrigeration capacity and the external heat load synchronously and achieve optimal matching.
Through the steps, the cloud control platform collects data through the cloud, obtains the operation parameters of the waterway terminal, predicts the use output rate required to be achieved by the combination of the air cooling modules in the future through complex loading and unloading calculation based on a multi-parameter data model of the cloud control platform, further determines the air cooling modules to be put into operation according to the prediction calculation output rate, and directly sends control instructions to the air cooling modules to control the number of available compressors put into operation, so that the optimal efficiency load output of the unit is achieved, and meanwhile the service life of the unit is prolonged. In a most preferred manner, steps S100 to S300 are performed by the cloud control platform, and in some alternative embodiments, when the computing capability of the local controller meets the requirement, a part of operations may be performed by the cloud control platform, and another part of operations may be performed by the local controller.
In the central air conditioner, the remote communication module is preferably mounted on the main board of the outdoor unit. Alternatively, the remote communication module may communicate with the cloud control platform 30 based on a conventional 4G network, or through a 5G network. In a preferred embodiment, the remote communication module is an NB-IoT wireless communication module 12. The air cooling module 11 with the NB-IoT wireless communication module 12 is connected to the NB-IoT network and communicates with the cloud control platform 30 via the NB-IoT network.
An indoor unit main board is provided in the waterway terminal 22, and a local processor is mounted on the indoor unit main board. The local processor is configured to receive detection signals of respective sensors for detecting indoor environment parameters, such as indoor environment temperature and the like. The local processor is optionally communicatively connected with a local controller in the air cooling module 11, outputs the received detection signals to the local controller, and uploads to the NB-IoT network via the local controller, ultimately to the cloud control platform 30. Alternatively, the indoor unit main board is also provided with a remote communication module, and the remote communication module arranged on the indoor unit main board can also communicate with the cloud control platform 30 based on a traditional 4G network, or communicate through a 5G network, or alternatively use an NB-IoT wireless communication module 21, and the waterway terminal 22 provided with the NB-IoT wireless communication module 21 accesses the NB-IoT network and communicates with the cloud control platform 30 through the NB-IoT network.
The communication data in the NB-IoT network is shown in fig. 2. After the air cooling module 11 and/or the waterway terminal 22 are powered on, data are reported through the NB-IoT wireless communication module 12 in the air cooling module 11 or through the NB-IoT wireless communication module 12 in the air cooling module 11 and the NB-IoT wireless communication module 12 in the waterway terminal 22 respectively. The base station eNB31 in the NB-IoT network uploads data to the operator core network 32 and by the operator core network 32 to the NB-IoT platform 33. The NB-IoT platform 33 pushes to the cloud control platform 30 after discovery of new data. The cloud control platform 30 receives the new data and updates the database, and then starts a new thread to issue a priority instruction of the cloud control platform 30, and the priority instruction is transmitted to the base station eNB31 via the operator core network 32. The base station eNB31 starts addressing the air cooling module 11 and/or the waterway terminal 22 and receives the response output from the air cooling module 11 and/or the waterway terminal 22. Upon receiving the response output by the air cooling module 11 and/or the waterway terminal 22, the base station eNB31 uploads the received response to the operator core network 32 and to the cloud control platform 30 via the NB-IoT platform 33. Cloud control platform 30 may communicate with all air cooling modules 11 and/or waterway terminals 22 in the access NB-IoT network. The cloud control platform 30 may also be provided with a man-machine interaction interface or further be in communication connection with other intelligent home appliances or mobile terminals. Mobile terminals include, but are not limited to, computers, tablet computers, cell phones, personal digital assistants, in-vehicle devices, wearable devices, and the like.
A specific flow of a preferred embodiment of the cloud control platform when acquiring the working states of the plurality of waterway terminals is described below with reference to fig. 4. When the working states of the plurality of waterway terminals are acquired, the cloud control platform is configured to perform a plurality of steps as shown in fig. 4.
Step S101: acquiring the current room temperature T of an air-conditioning room where all waterway terminals in the starting state are located in the current sampling period according to the set sampling frequency i_room_k (n-1), wherein k represents a waterway terminal in a starting state, and k is a positive integer; n represents the sampling period. The on-off state of the waterway terminal can be obtained through a control terminal which is in communication connection with the waterway terminal and is correspondingly matched with the waterway terminal, and the control terminal can be a wire controller or a starting terminal. The current room temperature is measured by a temperature sensor provided at the return air inlet of the waterway terminal (e.g., ducted air conditioner).
Step S102: acquiring the set temperature T of all waterway terminals in the starting state in the current sampling period according to the set sampling frequency s_room_k (n-1). The set temperature of the waterway terminal can be obtained through a control terminal which is in communication connection with the waterway terminal and is correspondingly matched with the waterway terminal. The set temperature represents the desired temperature to which the user wishes to air-condition the room.
Step S103: the temperature difference between the set temperature of the current sampling period and the current room temperature is calculated for each waterway terminal in the starting state and is recorded as the set temperature difference delta Tmp k (n-1)；
ΔTmp k (n-1)＝|T i_room_k (n-1)-T s_room_k (n-1)|；
The set temperature difference represents the external heat load which needs to be regulated by the waterway terminal in the starting state.
Step S104: calculating the change trend of the set temperature difference corresponding to two continuous set sampling periods, and recording the change trend as the set temperature difference change trend Q Δk (n)：
Q Δk (n)＝ΔTmp k (n)-ΔTmp k (n-1)；
The set temperature difference change trend represents the change trend of the external heat load required to be regulated by the corresponding waterway terminal.
When the working states of the plurality of waterway terminals are obtained, the cloud control platform can be further configured to sample user comfort level in the air-conditioning room, humidity of the air-conditioning room and other parameters, so that judgment on the change trend of external heat load is more accurate. In a most preferred manner, steps S101 to S104 are performed by the cloud control platform, and in some alternative embodiments, when the computing capability of the local controller meets the requirement, a part of operations may be performed by the cloud control platform, and another part of operations may be performed by the local controller.
After the change trend of the external heat load is obtained, the cloud control platform is further configured to predict and calculate the output rate of the air cooling module matched with the external heat load. Specifically, as shown in fig. 5, when the cloud control platform predicts and calculates the output rate of the air cooling module matched with the external heat load, the cloud control platform performs a plurality of steps as shown in fig. 5.
Step S201: the demand output rate delta Sum of each waterway terminal matched with the external heat load in the current sampling period is calculated in a prediction mode k (n). The required output rate deltasum k (n) preferably used PID controller calculations, the PID controller being integrated in the cloud control platform.
ΔSum k (n)＝(ΔTmp k (n)×K p +Q Δk ×K i +K d )×R P_k The method comprises the steps of carrying out a first treatment on the surface of the Wherein K is p Is a proportionality coefficient, K i As integral coefficient, K d Is a differential coefficient. K (K) p 、K i And K d The initial values of (2) were determined under experimental conditions. And placing a plurality of waterway terminals under standard working conditions (for example, the indoor temperature in summer is 29 ℃), and adjusting K p 、K i And K d So that the indoor temperature reaches 26 ℃, and K at the moment is calculated p 、K i And K d Writing PID controller as initial value, and continuously performing operation on K in subsequent use p 、K i And K d Self-learning and correction are performed. For example, in a certain continuous sampling period, the indoor temperature fluctuation of the air-conditioning room where the waterway terminal is located is obvious, so that K can be reduced p The method comprises the steps of carrying out a first treatment on the surface of the If the fluctuation is relatively small, K can be adjusted d The control effect is maintained. R is R P_k For example, taking an air duct machine as an example, if the corresponding capacity is 1.5 pieces, the capacity coefficient of the waterway terminalThe capacity coefficient of the waterway terminal is 1.5. The capacity coefficient of the waterway terminal is written in advance and stored in the cloud control platform. For example, when leaving a factory, a data table corresponding to the hardware codes and the capacity coefficients of the waterway terminal one by one is written into the cloud control platform for calling at any time. Of course, the foregoing parameters may also be written into a separate memory communicatively coupled to the cloud control platform.
Step S202: calculating the Sum delta Sum of the output rates of all waterway terminals in the starting state in the current sampling period total (n)：
Figure BDA0003488358160000091
Sum deltasum of the required output rates of all waterway terminals in starting state total And (n) represents the output rate of the requirement which the whole machine needs to meet.
Step S203: calculating an average demand output rate Δsum average (n)
Figure BDA0003488358160000101
Average required output rate Δsum average And (n) representing the demand output rate of the waterway terminal in each starting state under the external heat load change rule of the current sampling period theoretically.
Step S204: in general, the external thermal load does not have a large jump or fluctuation, so after the output rate of the water route terminal in each starting state is calculated under the external thermal load change rule in the current sampling period, the output rate Sum (n) of the air cooling module matched with the external thermal load in the current sampling period can be predicted and calculated:
Sum(n)＝Sum(n-1)+ΔSum average (n)
in order to facilitate calculation of the number of compressors to be loaded and unloaded, the required output rate is preferably calculated in percentage. For example, if ΔSum is calculated average (n) was 8.5, and ΔSum was calculated average (n) was 8.5%. In the conversion, the output rate Sum (n-1) of the air cooling module in the previous cycle can be regarded as 100 percent.
In a most preferred manner, steps S201 to S204 are performed by the cloud control platform, and in some alternative embodiments, when the computing capability of the local controller meets the requirement, a part of operations may be performed by the cloud control platform, and another part of operations may be performed by the local controller.
FIG. 6 provides a more preferred data model of the cloud control platform in predicting the output rate of the air cooling module that matches the external thermal load, incorporating the weather parameters acquired by the cloud control platform. Specifically, the cloud control platform performs a plurality of steps as shown in fig. 6.
Step S211: acquiring outdoor ambient temperature T a . The outdoor environment temperature is measured by a temperature sensor arranged in the air cooling module or is obtained by communication connection with a server of a weather department.
Step S212: calculating a temperature correction coefficient W a ，W a ＝((T a - α) x g) +h, where α is the seasonal reference temperature and g and h are constants. Taking summer as an example, α is optionally set to 25 ℃, g is optionally 0.002, and h is optionally 1.
Step S213: the ambient humidity H is obtained. Ambient humidity may be measured by a humidity sensor.
Step S214: calculating humidity correction coefficient W h ，W h = ((H- β) ×g) +h, where β is seasonal reference humidity, g and H are constants. Taking summer as an example, β is optionally set to 55%.
The seasonal reference temperature alpha and the seasonal reference humidity beta represent temperature and humidity which are comfortable and energy-saving.
The cloud controller may also obtain a weather type coefficient W according to weather type (e.g., sunny/rainy/cloudy/snowy) t And using weather type coefficient W t Correction of temperature correction coefficient W a And/or humidity correction factor W h I.e. the product of the two is calculated to incorporate the weight of the weather type.
Step S215: by means of temperature correction coefficient W a And/or humidity correction factor W h The required output rate delta Sum of each waterway terminal matched with the external heat load is corrected k (n) obtaining the corrected required output rate DeltaSum k ′(n)：
ΔSum k ′(n)＝ΔSum k (n)×W a ×W h
Step S216: calculating the sum of correction demand output rates of all waterway terminals in a starting state in the current sampling period
Figure BDA0003488358160000111
Step S217: calculating a corrected average demand output rate deltasum average ′(n)
Figure BDA0003488358160000112
Step S218: output rate Sum' (n) of correction air cooling module for predicting and calculating matching of current sampling period and external heat load
Sum′(n)＝Sum′(n-1)+ΔSum average ′(n)
Through the steps, the output rate Sum' (n) of the correction air cooling module matched with the external heat load in the current sampling period is calculated, the weight of the optimal temperature, humidity, season and weather type considering comfort and energy saving performance is taken into consideration, and the calculation accuracy is obviously improved.
In a most preferred manner, steps S211 to S218 are performed by the cloud control platform, and in some alternative embodiments, when the computing capability of the local controller meets the requirement, a part of operations may be performed by the cloud control platform, and another part of operations may be performed by the local controller.
When determining the air cooling module put into operation according to the predicted calculated output rate of the air cooling module and controlling the number of available compressors put into operation so as to enable the total refrigeration capacity to be matched with the external thermal load in a synchronous increasing and decreasing mode, the cloud control platform can optionally execute a plurality of steps as shown in fig. 7.
Step S301: and calling the output rate Sum (n) of the air cooling module corresponding to the current sampling period or correcting the output rate Sum' (n) of the air cooling module. The output rate Sum (n) of the air cooling module or the output rate Sum' (n) of the correction air cooling module is calculated in percentage.
Step S302: calculating the sum S of the equivalent compressor capacities of all the air cooling modules,
Figure BDA0003488358160000121
wherein C is a (l) Representing the capacity coefficient of each compressor, m is the number of compressors available in all air-cooled modules. Capacity coefficient C of each compressor a Based on the minimum capacity calculation of the available compressors, it is the ratio of the current compressor capacity to the minimum capacity in the available compressors, which is a dimensionless number.
Step S303: the number of equivalent compressors put into operation for the current sampling period, M (n) =s×sum (n) or M (n) =s×sum' (n), is calculated. Whereby the loading and unloading of the available compressors can be controlled based on the number of equivalent compressors M (n).
In a most preferred manner, steps S301 to S303 are performed by the cloud control platform, and in some alternative embodiments, when the computing capability of the local controller meets the requirement, a part of operations may be performed by the cloud control platform, and another part of operations may be performed by the local controller.
When a plurality of compressors are arranged in each air cooling module, the use time of each air cooling module and each available compressor is balanced, and the use of the central air conditioner is optimized. In a preferred mode, the cloud control platform authorizes grading of all available compressors in the air cooling module when determining the air cooling module put into operation according to the predicted calculated output rate of the air cooling module and controlling the number of available compressors put into operation so as to synchronously increase or decrease and match the total refrigeration capacity with the external heat load. As shown in fig. 8, the divided hierarchy includes a master hierarchy 100, a module hierarchy 200, and a slave hierarchy 300, wherein the master hierarchy 100 includes at least one master unit 101, the module hierarchy 200 includes at least one module unit 201, and the slave hierarchy 300 includes at least one slave unit 301. The slave unit 301 includes at least one available compressor, the module unit 201 includes at least one slave unit 301, and the master unit 101 includes at least one module unit 201. Through the framework, all available compressors can be incorporated into the main unit and reasonably planned and distributed, and the module unit and the slave unit can be divided and allocated according to actual use conditions, such as use time and capability, so that the limitation of physical division is overcome, and allocation is more flexible. The cloud control platform can update the division of each module unit and/or slave unit in the hierarchy at the end of each set sampling period, can update the division of each module unit and/or slave unit in the hierarchy at each start of the central air conditioner, and can also keep the division of each module unit and/or slave unit in the hierarchy unchanged within a certain time.
As shown in fig. 9, after the hierarchical division is completed, the cloud control platform is configured to perform a plurality of steps as shown in fig. 9.
Step S411: calculating a weighted calculation value X for each slave unit p ：X p ＝m q ×s r ×T t Wherein m is q Operating the ratio of the slave units to the total slave units in the air cooling module where the slave units are located, s r To the ratio of compressors put into operation from the unit to the total compressor, T t Is the run time of the slave unit.
Step S412: and sequencing the weighted calculation values of all the slave units, and if the number M (n) of the equivalent compressors which are operated in the current sampling period is calculated to be positive and larger than 1, operating one available compressor in the slave unit with the smallest weighted calculation value.
Alternatively, as shown in fig. 10, after the hierarchical division is completed, the cloud control platform is configured to perform the steps as shown in fig. 10.
Step S421: calculating a weighted calculation value X for each slave unit p ：X p ＝m q ×s r ×T t Wherein m is q Operating the ratio of the slave units to the total slave units in the air cooling module where the slave units are located, s r To the ratio of compressors put into operation from the unit to the total compressor, T t Is the run time of the slave unit.
Step S422: and sequencing the weighted calculation values of all the slave units, and if the number M (n) of the equivalent compressors which are operated in the current sampling period is calculated to be negative, turning off one operating compressor in the slave unit with the largest weighted calculation value.
Taking the step-by-step addition of the compressor as an example, referring to fig. 11, the cloud control platform sequentially performs the following steps.
Step S501: calculating a weighted calculation value X for each slave unit p 。
Step S502: and sequencing the weighted calculation values of all the slave units, and since the number M (n) of the equivalent compressors which are put into operation in the current sampling period is positive and larger than 1, putting one available compressor in the slave unit with the smallest weighted calculation value into operation, and recording the capacity coefficient of the available compressor which is put into operation.
Step S503: after one available compressor in the slave unit with the smallest weighted calculation value is put into operation, the equivalent compressor number is corrected to be the first corrected equivalent compressor number M 1 ’(n)；
M 1 ’(n)＝M(n)-C a1 The method comprises the steps of carrying out a first treatment on the surface of the Wherein C is a1 Capacity coefficient of available compressor for put into operation.
Similarly, if one of the slave units having the greatest weight calculation value is turned off, the equivalent compressor number is corrected to the second corrected equivalent compressor number M 2 ’(n)；
M 2 ’(n)＝M(n)+C a2 The method comprises the steps of carrying out a first treatment on the surface of the Wherein C is a2 Is the capacity coefficient of the available compressor that is shut down.
Step S504: updating and calculating the ratio m of the running slave units to all the slave units in the air cooling module where the slave units are q And the ratio s of the compressors put into operation from the unit to the total compressors r 。
Step S505: further judging the number M of the first corrected equivalent compressors 1 And (c) whether' (n) is 1 or more, that is, whether the step-up condition is satisfied. Or the like, determines the second corrected equivalent compressor number M 2 Whether' (n) is equal to or less than-1, i.e.Whether the step less condition is satisfied. If yes, steps S501 to S505 are circularly executed from step S501 until the step increasing condition or the step decreasing condition is no longer met, and the cloud control platform sends the operation instruction of the available compressor to each air cooling module through the wireless communication module to control each compressor to operate.
In a most preferred manner, steps S411 to S412, S421 to S422, and steps S501 to S505 are all performed by the cloud control platform, and in some alternative embodiments, when the computing capability of the local controller meets the requirement, a part of operations may be performed by the cloud control platform, and another part of operations may be performed by the local controller.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the invention in any way, and any person skilled in the art may make modifications or alterations to the disclosed technical content to the equivalent embodiments. However, any simple modification, equivalent variation and variation of the above embodiments according to the technical substance of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims (10)

1. A central air conditioner comprising:
the air cooling modules are provided with a plurality of compressors;
the water channel terminals are respectively in fluid connection with the air cooling module; and
the cloud control platform is in communication connection with the air cooling module;
the cloud control platform is characterized by being configured to perform the following operations:
acquiring working states of a plurality of waterway terminals, including: acquiring the current room temperature T of an air-conditioning room where all waterway terminals in a starting state are located i_room_k (n-1); acquiring set temperatures T corresponding to all waterway terminals in a starting state s_room_k (n-1); calculating a set temperature and a current room temperature for each waterway terminal in a starting stateThe temperature difference is recorded as a set temperature difference delta Tmp k (n-1)，ΔTmp k (n-1)＝|T i_room_k (n-1)-T s_room_k (n-1) |; calculating the change trend of the set temperature difference corresponding to two continuous set sampling periods, and recording the change trend as the set temperature difference change trend Q Δk (n)：Q Δk (n)＝ΔTmp k (n)-ΔTmp k (n-1); wherein k represents a waterway terminal in a starting state, and k is a positive integer; n represents a sampling period;
the output rate of the air cooling module matched with the external heat load is calculated in a prediction mode, and the method comprises the following steps: the demand output rate delta Sum of each waterway terminal matched with the external heat load in the current sampling period is calculated in a prediction mode k (n)：ΔSum k (n)＝(ΔTmp k (n)×K p +Q Δk ×K i +K d )×R P_k The method comprises the steps of carrying out a first treatment on the surface of the Wherein K is p Is a proportionality coefficient, K i As integral coefficient, K d Is a differential coefficient, R P_k The capacity coefficient of the waterway terminal; calculating the Sum delta Sum of the output rates of all waterway terminals in the starting state in the current sampling period total (n)，
Figure FDA0004159556240000011
Calculating an average demand output rate Δsum average (n)，/>
Figure FDA0004159556240000012
Figure FDA0004159556240000013
And predicting and calculating the output rate Sum (n) of the air cooling module, which is matched with the external heat load, of the current sampling period: sum (n) =sum (n-1) +Δsum average (n)；
Determining an air cooling module put into operation according to the predicted and calculated output rate of the air cooling module and controlling the number of available compressors put into operation so as to synchronously increase and decrease and match the total refrigeration capacity with the external heat load, wherein the method comprises the following steps: calculating the sum S of the equivalent compressor capacities of all the air cooling modules,
Figure FDA0004159556240000014
wherein C is a (1) Representing the capacity coefficient of each compressor, wherein m is the number of available compressors in all air cooling modules; calculating the number M (n) of equivalent compressors put into operation in the current sampling period, wherein M (n) =S×Sum (n), and Sum (n) is counted in percentage;
classifying all available compressors in the air cooling module, wherein the classified levels comprise a master level, a module level and a slave level, the master level at least comprises a master unit, the module level at least comprises a module unit, and the slave level at least comprises a slave unit; the slave units at least comprise one available compressor, the module units at least comprise one slave unit, and the master unit at least comprises one module unit; calculating a weighted calculation value X for each slave unit p ：X p ＝m q ×s r ×T t The method comprises the steps of carrying out a first treatment on the surface of the Wherein m is q Operating the ratio of the slave units to the total slave units in the air cooling module where the slave units are located, s r To the ratio of compressors put into operation from the unit to the total compressor, T t Run time for the slave unit; sequencing the weighted calculation values of all the slave units, and if the number M (n) of the equivalent compressors which are operated in the current sampling period is calculated to be positive and larger than 1, putting one available compressor in the slave unit with the smallest weighted calculation value into operation; if the number M (n) of equivalent compressors which are operated in the current sampling period is calculated to be negative, one slave unit with the largest weighted calculation value is started to operate the compressor to be closed.
2. The central air conditioner according to claim 1, wherein:
after one available compressor in the slave unit with the smallest weighted calculation value is put into operation, the equivalent compressor number is corrected to be the first corrected equivalent compressor number M 1 ’(n)：
M 1 ’(n)＝M(n)-C a1 The method comprises the steps of carrying out a first treatment on the surface of the Wherein C is a1 Capacity coefficient for available compressor put into operation;
after one of the slave units with the largest weight calculation value is turned off, the slave units are equal to each otherThe number of the effective compressors is corrected to be the second corrected equivalent number M of the compressors 2 ’(n)：
M 2 ’(n)＝M(n)+C a2 The method comprises the steps of carrying out a first treatment on the surface of the Wherein C is a2 Capacity coefficient for available compressor that is shut down;
updating and calculating the ratio m of the running slave units to all the slave units in the air cooling module where the slave units are q And the ratio s of the compressors put into operation from the unit to the total compressors r ；
Judging the number M of the first corrected equivalent compressors 1 ' or second modified equivalent compressor quantity M 2 ' (n) whether a step up or step down condition is satisfied;
if the step-up or step-down condition is satisfied, the weighted calculation value X of each slave unit is self-calculated p And performing operations in a loop.
3. The central air conditioner according to claim 1, wherein,
capacity coefficient C of compressor a Is the ratio of the current compressor capacity to the minimum capacity in the available compressors.
4. The central air conditioner according to claim 1, wherein,
the air cooling module comprises:
a local controller configured to drive the compressor to operate; and
and the local controller is configured to be in communication connection with the cloud control platform through the remote communication module.
5. The central air conditioner according to claim 4, wherein,
the remote communication module is an NB-IoT wireless communication module.
6. A central air conditioner comprising:
the air cooling modules are provided with a plurality of compressors;
the water channel terminals are respectively in fluid connection with the air cooling module; and
the cloud control platform is in communication connection with the air cooling module;
the cloud control platform is characterized by being configured to perform the following operations:
acquiring working states of a plurality of waterway terminals, including: acquiring the current room temperature Ti of an air-conditioning room where all waterway terminals in a starting state are located _room_k (n-1); acquiring set temperatures T corresponding to all waterway terminals in a starting state s_room_k (n-1); the temperature difference between the set temperature and the current room temperature is calculated for each waterway terminal in the starting state and is recorded as the set temperature difference delta Tmp k (n-1)，ΔTmp k (n-1)＝|T i_room_k (n-1)-T s_room_k (n-1) |; calculating the change trend of the set temperature difference corresponding to two continuous set sampling periods, and recording the change trend as the set temperature difference change trend Q Δk (n)：Q Δk (n)＝ΔTmp k (n)-ΔTmp k (n-1); wherein k represents a waterway terminal in a starting state, and k is a positive integer; n represents a sampling period;
the output rate of the air cooling module matched with the external heat load is calculated in a prediction mode, and the method comprises the following steps: the demand output rate delta Sum of each waterway terminal matched with the external heat load in the current sampling period is calculated in a prediction mode k (n)：ΔSum k (n)＝(ΔTmp k (n)×K p +Q Δk ×Ki+Kd)×R P_k The method comprises the steps of carrying out a first treatment on the surface of the Wherein K is p Is a proportionality coefficient, K i As integral coefficient, K d Is a differential coefficient, R P_k The capacity coefficient of the waterway terminal; calculating the Sum delta Sum of the output rates of all waterway terminals in the starting state in the current sampling period total (n)，
Figure FDA0004159556240000031
Calculating an average demand output rate Δsum average (n)，/>
Figure FDA0004159556240000032
Figure FDA0004159556240000033
And predicting and calculating the output rate Sum (n) of the air cooling module, which is matched with the external heat load, of the current sampling period: sum (n) =sum (n-1) +Δsum average (n); acquiring an outdoor environment temperature Ta; calculating a temperature correction coefficient W a ，W a ＝((R a - α) x g) +h, where α is the seasonal reference temperature, g and h are constants; acquiring the ambient humidity H; calculating humidity correction coefficient W h ，W h = ((H- β) ×g) +h, where β is seasonal reference humidity, g and H are constants; by means of temperature correction coefficient W a And/or humidity correction factor W h The required output rate delta Sum of each waterway terminal matched with the external heat load is corrected k (n) obtaining the corrected required output rate DeltaSum k ′(n)：ΔSum k ′(n)＝ΔSum k (n)×W a ×W h The method comprises the steps of carrying out a first treatment on the surface of the Calculating the Sum delta Sum of the correction demand output rates of all waterway terminals in the starting state in the current sampling period total ′(n)：/>
Figure FDA0004159556240000034
Calculating a corrected average demand output rate deltasum average ′(n)：/>
Figure FDA0004159556240000035
And predicting and calculating the output rate Sum' (n) of the correction air cooling module with the current sampling period matched with the external heat load: sum '(n) =sum' (n-1) +Δsum average ′(n)；
Determining an air cooling module put into operation according to the predicted and calculated output rate of the air cooling module and controlling the number of available compressors put into operation so as to synchronously increase and decrease and match the total refrigeration capacity with the external heat load, wherein the method comprises the following steps: calculating the sum S of the equivalent compressor capacities of all the air cooling modules,
Figure FDA0004159556240000036
wherein C is a (1) Representing the capacity coefficient of each compressor, m being the available compressor in all air-cooled modulesNumber of pieces; calculating the number M (n) of equivalent compressors put into operation in the current sampling period, M (n) =S×Sum '(n), sum' (n) being in percent;
classifying all available compressors in the air cooling module, wherein the classified levels comprise a master level, a module level and a slave level, the master level at least comprises a master unit, the module level at least comprises a module unit, and the slave level at least comprises a slave unit; the slave units at least comprise one available compressor, the module units at least comprise one slave unit, and the master unit at least comprises one module unit; calculating a weighted calculation value X for each slave unit p ：X p ＝m q ×s r ×T t The method comprises the steps of carrying out a first treatment on the surface of the Wherein m is q Operating the ratio of the slave units to the total slave units in the air cooling module where the slave units are located, s r To the ratio of compressors put into operation from the unit to the total compressor, T t Run time for the slave unit; sequencing the weighted calculation values of all the slave units, and if the number M (n) of the equivalent compressors which are operated in the current sampling period is calculated to be positive and larger than 1, putting one available compressor in the slave unit with the smallest weighted calculation value into operation; if the number M (n) of equivalent compressors which are operated in the current sampling period is calculated to be negative, one slave unit with the largest weighted calculation value is started to operate the compressor to be closed.
7. The central air conditioner according to claim 6, wherein:
after one available compressor in the slave unit with the smallest weighted calculation value is put into operation, the equivalent compressor number is corrected to be the first corrected equivalent compressor number M 1 ’(n)：
M 1 ’(n)＝M(n)-C a1 ；
Wherein C is a1 Capacity coefficient for available compressor put into operation;
after one running compressor in the slave unit with the largest weighted calculation value is closed, the equivalent compressor number is corrected to a second corrected equivalent compressor number M 2 ’(n)：
M 2 ’(n)＝M(n)+C a2 ；
Wherein C is a2 Capacity coefficient for available compressor that is shut down;
updating and calculating the ratio m of the running slave units to all the slave units in the air cooling module where the slave units are q And the ratio s of the compressors put into operation from the unit to the total compressors r ；
Judging the number M of the first corrected equivalent compressors 1 ' or second modified equivalent compressor quantity M 2 ' (n) whether a step up or step down condition is satisfied;
if the step-up or step-down condition is satisfied, the weighted calculation value X of each slave unit is self-calculated p And performing operations in a loop.
8. The central air conditioner according to claim 6, wherein,
capacity coefficient C of compressor a Is the ratio of the current compressor capacity to the minimum capacity in the available compressors.
9. The central air conditioner according to claim 6, wherein,
the air cooling module comprises:
a local controller configured to drive the compressor to operate; and
and the local controller is configured to be in communication connection with the cloud control platform through the remote communication module.
10. The central air conditioner according to claim 9, wherein,
the remote communication module is an NB-IoT wireless communication module.
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