Intelligent air conditioner dispatching method and system

Abstract

The invention relates to the technical field of equipment control, in particular to an intelligent air conditioner dispatching method and system. The invention discloses an intelligent air conditioner dispatching system which comprises a central server, a central air conditioner unit cluster divided according to areas, air conditioner indoor units arranged in rooms and electric valves. According to the system, the indoor temperature is collected in real time through the indoor unit panel, the indoor units are controlled to operate, after the central server obtains the operation states of all the indoor units, the water circulation path is dynamically adjusted based on the electric valves bound in the tree-shaped hierarchy mode, circulating water only flows to the operation indoor unit area, the circulation distance is effectively shortened, and the rotating speed of a water pump is reduced. Meanwhile, according to the number of the started indoor units and the inlet and return water temperature, the starting number and running time of the compressors are accurately controlled, and load balancing is achieved. According to the system, through path optimization, pump frequency adjustment and cold and heat source accurate matching, the energy efficiency is comprehensively improved, and automatic energy-saving operation is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of device control, and in particular to an intelligent air conditioner scheduling method and system. BACKGROUND

[0002] Central air conditioning systems, especially water chiller systems using water as the heat exchange medium, have been widely used in large office buildings, shopping malls, factories and other commercial and public buildings. Such systems usually generate cold / hot water by one or more main machines (containing compressors), which are driven by water pumps and delivered to the end devices (such as ducted air conditioners, fan coil units, etc.) in each building area through a complex pipe network to achieve cooling or heating of the environment.

[0003] However, the existing central air conditioning systems have obvious deficiencies in intelligent management and energy efficiency, mainly as follows: Fixed water circulation path, low energy efficiency under partial load: The water circulation pipeline of traditional systems is usually fixed. Even if only a few rooms in the building need to be cooled or heated, the entire system water circuit must be circulated. This causes the water pump to overcome the entire system pipe resistance and always run at a high power, resulting in a large waste of electrical energy. At the same time, the long circulation path and the flow through unused areas will cause unnecessary heat exchange between the water pipes and the surrounding environment, resulting in a large loss of cold / heat and increasing the load of the main compressor.

[0004] Coarse control of compressor, lack of precise load matching: The start-stop and number control of the main compressor are often simple, usually based only on the total return water temperature, and cannot be associated with real-time and accurate space usage. Under partial load conditions, it is easy to cause the compressor to "pull a small cart with a large horse", reduce the operating efficiency, and cause energy waste. In addition, the lack of balanced management of the running time of the compressor may cause some compressors to be overused and shorten their service life.

[0005] Dependence on manual management, lack of intelligence: The "people go, air conditioner not off" energy waste phenomenon often occurs in public areas or after work in office buildings. Although some systems support remote control, they often require manual intervention and lack a fully automatic and intelligent energy-saving management mechanism based on actual usage.

[0006] Therefore, there is an urgent need in the art for an intelligent air conditioner scheduling system that can dynamically adjust the water circulation path, accurately match the actual load, and have predictive optimization capabilities to solve the technical problems of low energy efficiency, coarse control, and inconvenient management in the prior art. SUMMARY

[0007] The purpose of this invention is to overcome the shortcomings of the prior art and provide an intelligent air conditioning scheduling method and system. It aims to provide an intelligent air conditioning scheduling system that can dynamically adjust the water circulation path, accurately match the actual load, and has predictive optimization capabilities, so as to solve the technical problems of low energy efficiency, crude control and inconvenient management in the prior art.

[0008] To achieve the above objectives, this application proposes an intelligent air conditioning scheduling system, including a central air conditioning unit cluster, indoor air conditioning units installed in the rooms, and a central server; wherein, The central air conditioning unit cluster consists of multiple units divided according to regions; wherein, each unit consists of multiple air conditioning units; The air conditioning unit is connected to the corresponding indoor unit via a water pipe, and the water in the pipe is circulated by a water pump; an electric valve for controlling the direction of water circulation is installed at the branch of the water pipe. The air conditioning unit includes multiple compressors for cooling or heating water in the water pipes. The unit collects the inlet and outlet water temperatures through the main panel and queries and controls the start / stop of the compressors. The host panel is controlled by the terminal server, and the terminal server also collects the outdoor unit's power consumption through an electricity meter; The indoor unit of the air conditioner is used to exchange heat with the indoor air. The indoor unit is equipped with an indoor unit panel for collecting indoor temperature, querying and controlling the indoor unit's operating status, and reporting the indoor unit's operating status and indoor temperature to the central server. The central server is used to collect and analyze equipment data and control the equipment, establishes remote communication connections with the terminal servers and each indoor unit panel, and is further configured as follows: Real-time acquisition of the operating status and indoor temperature of each air conditioner indoor unit; Based on the operating status of the indoor unit of the air conditioner, the opening and closing status of the associated electric valves is controlled to dynamically adjust the water circulation path so that water circulates only to the area where the indoor unit of the air conditioner is in operation. The number of air conditioning indoor units that are turned on, the inlet water temperature, and the outlet water temperature are used to control the number of compressors that are turned on and their running time. By shortening the water circulation distance and reducing the pump speed, the system's energy consumption is reduced.

[0009] As a further solution, the central server is further configured as follows: Based on historical operating data, predict the number of compressors to be turned on in the future and adjust the water temperature in the pipes to the preset range in advance.

[0010] As a further solution, the central server is further configured as follows: Predict the number of air conditioner indoor units to be started and their operating status based on room power consumption data.

[0011] As a further solution, the electric valve is bound to the indoor unit of the air conditioner through a tree-like hierarchical relationship; The central server is further configured as follows: When any indoor unit of the air conditioner is running, open the electric valve bound to the indoor unit and all upstream electric valves; When all indoor air conditioning units under any one electric valve are closed, the electric valve is closed.

[0012] As a further solution, the electric valves are identified using a numbering system. The numbering rules include a multi-level branch structure, and the central server recursively controls the valve status according to the numbering relationship.

[0013] As a further solution, the central server is further configured as follows: Based on the rate of change of indoor temperature and circulating water temperature, the start-up requirements of the air conditioning indoor unit and compressor are predicted, and their operating status is dynamically adjusted.

[0014] As a further solution, the central server is further configured as follows: Based on the historical operating time of the compressors, load balancing control is performed to make the operating time of each compressor tend to be average, thereby extending the equipment life.

[0015] As a further solution, the system allows users to remotely control or preset air conditioning operation plans via mobile terminals, thus avoiding energy waste.

[0016] As a further solution, the central server is further configured as follows: By integrating environmental weather data and user habits, it can intelligently predict and control the operating time and mode of the air conditioning system.

[0017] On the other hand, the present invention also provides an intelligent air conditioning scheduling method, applied to an intelligent air conditioning scheduling system as described in any of the preceding claims, comprising the following steps: Acquire the real-time operating status and indoor environmental parameters of multiple indoor air conditioning units in the system; Based on the operating status of the indoor unit of the air conditioner, the on / off status of multiple electric valves connected to the water circuit is controlled to dynamically adjust the water circulation path so that the circulating water flows only through the area where the indoor unit of the air conditioner is in operation. Based on the number of indoor air conditioning units that are turned on, the inlet water temperature, and the outlet water temperature, the target number of compressors in the air conditioning unit that are turned on is determined, and the compressors are controlled to operate at the target number of compressors that are turned on. Based on the adjusted water circulation path, the shortened circulation distance is calculated, and the pump speed is adjusted based on the shortened circulation distance.

[0018] Compared with related technologies, the intelligent air conditioning scheduling method and system provided by the present invention have the following advantages: 1. This invention precisely shortens the water circulation path by dynamically closing the electric valves in unused areas, fundamentally reducing water circulation resistance and heat loss caused by long-distance transportation. Furthermore, it simultaneously reduces the water pump speed and precisely controls the number of compressors in operation and their running time based on the actual load, achieving system-wide energy saving from the "distribution side" to the "heat source side," significantly reducing electricity consumption and effectively lowering system operating costs.

[0019] 2. This invention achieves centralized monitoring and automatic control of valves, water pumps, compressors, and terminal indoor units through the collaborative work of a central server and distributed indoor unit panels. The system can make autonomous decisions based on real-time data, completing refined energy-saving operation without manual intervention. It is particularly suitable for large office spaces and public areas, effectively avoiding energy waste caused by human oversight.

[0020] 3. The system of the present invention has predictive control capability, which can adjust the circulating water temperature to a suitable range in advance based on historical data, environmental weather and other factors, so that users can quickly obtain a comfortable room temperature when the air conditioner is turned on, avoiding the lag of traditional systems waiting for room temperature changes, and significantly improving the user experience.

[0021] 4. The central server of this invention uses a load balancing algorithm to evenly distribute the running time of each compressor, avoiding long-term high-load operation or frequent start-stop of a single compressor, effectively preventing equipment failures due to excessive wear and tear, thereby extending the service life of core equipment such as compressors and improving the operational stability and reliability of the entire air conditioning system.

[0022] 5. This invention establishes a hierarchical tree relationship between electric valves and air conditioning indoor units. The central server, like an "intelligent neural network," can accurately perceive the needs of each terminal and realize the "on-demand opening" and "on-demand shut-off" of water circuits. Combined with a predictive model based on power consumption and temperature change trends, the system can intelligently infer space utilization, thereby achieving a high degree of matching between energy supply and actual demand and avoiding unnecessary energy waste. Attached Figure Description

[0023] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0024] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, those skilled in the art can obtain other drawings based on these drawings without creative effort.

[0025] Figure 1 This invention provides a schematic diagram of the structure of an intelligent air conditioning scheduling system; Figure 2 This is a schematic diagram of a central air conditioning unit cluster provided by the present invention; Figure 3 This is a schematic diagram of the air conditioning system structure provided by the present invention; Figure 4 A schematic diagram of a multi-level branch structure provided by the present invention; Figure 5 This is a schematic diagram illustrating the steps of an intelligent air conditioning scheduling method provided by the present invention.

[0026] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0028] Example 1 Please see Figure 1 This embodiment provides an intelligent air conditioning scheduling system, including a central air conditioning unit cluster, indoor air conditioning units installed in rooms, and a central server; wherein, like Figure 2 As shown, the central air conditioning unit cluster consists of multiple units divided according to regions; wherein, each unit consists of multiple air conditioning units; The air conditioning unit is connected to the corresponding indoor unit via a water pipe, and the water in the pipe is circulated by a water pump; an electric valve for controlling the direction of water circulation is installed at the branch of the water pipe. The air conditioning unit includes multiple compressors for cooling or heating water in the water pipes. The unit collects the inlet and outlet water temperatures through the main panel and queries and controls the start / stop of the compressors. The host panel is controlled by the terminal server, and the terminal server also collects the outdoor unit's power consumption through an electricity meter; The indoor unit of the air conditioner is used to exchange heat with the indoor air. The indoor unit is equipped with an indoor unit panel for collecting indoor temperature, querying and controlling the indoor unit's operating status, and reporting the indoor unit's operating status and indoor temperature to the central server. The central server is used to collect and analyze equipment data and control the equipment, establishes remote communication connections with the terminal servers and each indoor unit panel, and is further configured as follows: Real-time acquisition of the operating status and indoor temperature of each air conditioner indoor unit; Based on the operating status of the indoor unit of the air conditioner, the opening and closing status of the associated electric valves is controlled to dynamically adjust the water circulation path so that water circulates only to the area where the indoor unit of the air conditioner is in operation. The number of air conditioning indoor units that are turned on, the inlet water temperature, and the outlet water temperature are used to control the number of compressors that are turned on and their running time. By shortening the water circulation distance and reducing the pump speed, the system's energy consumption is reduced.

[0029] It should be noted that this embodiment achieves dynamic adjustment of the water circulation path, precise compressor control, and proactive energy consumption reduction through centralized optimization by the central server and collaboration of distributed terminals. This solves the problems of low energy efficiency and inefficient control in traditional central air conditioning systems, specifically manifested in: Real-time acquisition of air conditioner indoor unit operating status and indoor temperature: The central server obtains data from the indoor unit panel via a protocol, such as whether the indoor unit is running and the room temperature value. This provides real-time input for subsequent control. Based on the operating status, control the electric valves and dynamically adjust the water circulation path: The central server controls the opening and closing of associated electric valves based on the operating status of the indoor unit (such as whether it is on or off). For example, when an indoor unit in a certain room is turned off, the server will close the valves associated with that indoor unit and its upstream valves, ensuring that water circulates only to the area of ​​the operating indoor unit. This achieves the energy-saving principle described in the manual: "reducing heat loss during water circulation by controlling and shortening the distance of water circulation within the pipes."

[0030] The compressor is controlled based on the number of indoor units in operation and the inlet and outlet water temperatures. The central server analyzes the number of indoor units in operation, as well as the inlet and outlet temperatures, to calculate the required cooling / heating load, thereby controlling the number of compressors in operation and their running time. For example, when only a few indoor units are running, the number of compressors in operation is reduced to avoid energy waste. The disclosure document mentions "analyzing the number of ducted air conditioning units in operation and the inlet and outlet temperatures to determine the most suitable number of compressors to operate," and emphasizes load balancing (ensuring that the compressor running time is averaged).

[0031] Energy consumption can be reduced by shortening the water circulation distance and lowering the pump speed. Once the water circulation path is shortened, the central server calculates the shortened distance and reduces the water pump speed accordingly. This directly corresponds to the energy-saving principle: "By shortening the water circulation distance and then reducing the water pump speed, energy savings are achieved." Simultaneously, reducing the number and duration of compressor operation further lowers power consumption.

[0032] Furthermore, the central server is further configured as follows: Based on historical operating data, predict the number of compressors to be turned on in the future and adjust the water temperature in the pipes to the preset range in advance.

[0033] For example: Figure 3 As shown, the entire air conditioning system is divided into three zones. When the central server detects that some zones are not in use, it controls the three-way control valve in those zones to prevent water from circulating to the unused areas, thus reducing heat loss and ensuring the system only circulates within the zones where air conditioning is in use. Furthermore, reduced usage decreases the number of outdoor unit compressors that need to be activated (electricity consumption is primarily due to compressor operation).

[0034] Furthermore, the central server is further configured as follows: Predict the number of air conditioner indoor units to be started and their operating status based on room power consumption data.

[0035] For example: The entire office has 6 indoor air conditioner units. Based on the collected data on the office's electricity usage, the number of people in the office can be determined, and then the number of indoor air conditioner units in operation can be controlled to reduce unnecessary consumption. Furthermore, the electric valve is bound to the indoor unit of the air conditioner through a tree-like hierarchical relationship; The central server is further configured as follows: When any indoor unit of the air conditioner is running, open the electric valve bound to the indoor unit and all upstream electric valves; When all indoor air conditioning units under any one electric valve are closed, the electric valve is closed.

[0036] It should be noted that in this embodiment, the electric valve at each branch of the three-way water pipe is numbered, such as... Figure 3 As shown, the water outlets are divided into outlets a and b, and the return water outlets are combined at positions a' and b'. The electric valve continues to be numbered down to the next level, with each additional level marked by a hyphen "-", such as... Figure 3 As shown, a-1, a-1-1, a-1-1-1...., are numbered all the way to the end (the end can be a ducted air conditioner or a room; the diagram shows each room with multiple ducted air conditioners). Furthermore, such as Figure 4As shown, each valve and each duct unit are bound together to establish a hierarchical tree structure. The electric valves are identified using a numbering system with a multi-level branching structure. The central server recursively controls the valve status based on the numbering relationship.

[0037] Specifically, each ducted air conditioner is connected to a central server via wired or wireless connection. The central server can obtain information on the operation status of each ducted air conditioner, such as whether it is running and whether it is in ventilation mode. The electric valve is connected to the central server via wired or wireless means. The central server can control the opening and closing of the electric valve through wired or wireless protocols.

[0038] The central server obtains the operating status and valve opening / closing status of each duct unit in real time via wired or wireless protocols; When the central server detects that the room duct unit is running, it opens the electric valve switch bound to the duct unit and all the upstream valve switches of this valve to ensure that circulating water can circulate to the position where the duct unit is running. If an electric valve is connected to multiple ducted air conditioners, the electric valve will only be closed after all the ducted air conditioners are shut down, and the main electric valve will be closed after all the branch valves are closed. like Figure 4 As shown: Taking the water outlet pipe as an example, when the central server detects that the air duct units in rooms B, D, and E are turned off, and the air duct units in rooms A and C are turned on, the central server controls the closing of electric valves a-1-2, a-1-1-1-2, and a-1-1-1-1, and opens electric valves a-2, a, a-1-1-2, a-1-1, and a-1. Since the lower-level valves a-1-1-1-1 and a-1-1-1-2 of a-1-1-1-1 are both closed, the electric valve of a-1-1-1 is closed simultaneously. If the air duct units in rooms F, G, H, I, and G are all closed, the electronic valves bound to F, G, H, I, and G are closed until b-1 is closed. The same applies to the return water pipe. Since the central server obtains the opening and closing status of all valves, it can determine how many meters the circulating water has been shortened, and control the pump speed to be reduced to x through data analysis. Therefore, the central server analyzes the number of air conditioning duct units that are turned on and the inlet and outlet temperatures to determine the most suitable number of compressors to be turned on. By analyzing the running time of each compressor, the load is balanced to the compressors that are turned on, so that the running time of each compressor is averaged, thus avoiding damage due to the running time of a single compressor. In addition, room users can remotely control the air conditioning via mobile network or preset the room's air conditioning start date to avoid forgetting to turn off the air conditioning when everyone leaves the room, especially in office spaces and public areas; Furthermore, the central server is further configured as follows: Based on the rate of change of indoor temperature and circulating water temperature, the start-up requirements of the air conditioning indoor unit and compressor are predicted, and their operating status is dynamically adjusted.

[0039] For example, if the temperature in a customer's room changes rapidly and the temperature of the circulating water changes quickly, it can be inferred that the usage rate is high, thus increasing the number of indoor units and outdoor compressors that are turned on.

[0040] Furthermore, the central server is further configured as follows: Based on the historical operating time of the compressors, load balancing control is performed to make the operating time of each compressor tend to be average, thereby extending the equipment life.

[0041] With server control, the central air conditioning can be switched on and off without manual intervention, thus achieving fully automatic and energy-saving control of the air conditioning. Furthermore, the system allows users to remotely control or preset air conditioning operation plans via mobile terminals, thus avoiding energy waste.

[0042] As a further solution, the central server is further configured as follows: By integrating environmental weather data and user habits, it can intelligently predict and control the operating time and mode of the air conditioning system.

[0043] Example 2 Please see Figure 5 Based on Embodiment 1, this embodiment also provides an intelligent air conditioning scheduling method, including the following steps: Acquire the real-time operating status and indoor environmental parameters of multiple indoor air conditioning units in the system; Based on the operating status of the indoor unit of the air conditioner, the on / off status of multiple electric valves connected to the water circuit is controlled to dynamically adjust the water circulation path so that the circulating water flows only through the area where the indoor unit of the air conditioner is in operation. Based on the number of indoor air conditioning units that are turned on, the inlet water temperature, and the outlet water temperature, the target number of compressors in the air conditioning unit that are turned on is determined, and the compressors are controlled to operate at the target number of compressors that are turned on. Based on the adjusted water circulation path, the shortened circulation distance is calculated, and the pump speed is adjusted based on the shortened circulation distance.

[0044] It should be noted that this embodiment first clarifies the execution subject and starting point of the method, namely, the central server needs to obtain the real-time operating data of the system (obtain...real-time operating status and...environmental parameters), which is the basis for all intelligent control decisions.

[0045] Core Control Action 1 (Path Optimization): Following this, the first core energy-saving action is executed, which involves controlling the valves based on the indoor unit's status to dynamically optimize the water circulation path (controlling the on / off state of the electric valves to dynamically adjust the water circulation path). This directly corresponds to the invention's principle of "shortening the water circulation distance to reduce heat loss and pump work."

[0046] Core Control Action Two (Heat / Cold Source Optimization): Based on path optimization, the second core energy-saving action is executed, which is to precisely control the number of operating units of the heat / cold source—the compressor—according to the actual load (number of indoor units turned on, inlet and outlet water temperatures). This corresponds to the principle of "reducing the number of compressors in operation to save energy" in the invention.

[0047] Core Control Action Three (Power Optimization): Finally, based on the results of path optimization, a third energy-saving action is executed, namely, reducing the water pump speed (adjusting the water pump speed according to the adjusted water circulation path). This corresponds to the principle of "reducing the water pump speed to save energy" in the invention, and forms a causal relationship and logical closed loop with the path optimization in the first step.

[0048] The control method provided in this embodiment clearly outlines a complete and orderly intelligent control process from data perception to path optimization, and then to cold and heat source control and power control. It is progressive and fully embodies the core idea of ​​the invention. Through path optimization, pump frequency adjustment and precise matching of cold and heat sources, it comprehensively improves energy efficiency and realizes automated energy-saving operation.

[0049] The above are only some embodiments of this application and do not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. An intelligent air conditioning scheduling system, characterized in that, This includes a central air conditioning unit cluster, indoor air conditioning units installed in the rooms, and a central server; among which, The central air conditioning unit cluster consists of multiple units divided according to regions; wherein, each unit consists of multiple air conditioning units; The air conditioning unit is connected to the corresponding indoor unit via a water pipe, and the water in the pipe is circulated by a water pump; an electric valve for controlling the direction of water circulation is installed at the branch of the water pipe. The air conditioning unit includes multiple compressors for cooling or heating water in the water pipes. The unit collects the inlet and outlet water temperatures through the main panel and queries and controls the start / stop of the compressors. The host panel is controlled by the terminal server, and the terminal server also collects the outdoor unit's power consumption through an electricity meter; The indoor unit of the air conditioner is used to exchange heat with the indoor air. The indoor unit is equipped with an indoor unit panel for collecting indoor temperature, querying and controlling the indoor unit's operating status, and reporting the indoor unit's operating status and indoor temperature to the central server. The central server is used to collect and analyze equipment data and control the equipment, establishes remote communication connections with the terminal servers and each indoor unit panel, and is further configured as follows: Real-time acquisition of the operating status and indoor temperature of each air conditioner indoor unit; Based on the operating status of the indoor unit of the air conditioner, the opening and closing status of the associated electric valves is controlled to dynamically adjust the water circulation path so that water circulates only to the area where the indoor unit of the air conditioner is in operation. The number of air conditioning indoor units that are turned on, the inlet water temperature, and the outlet water temperature are used to control the number of compressors that are turned on and their running time. By shortening the water circulation distance and reducing the pump speed, the system's energy consumption is reduced.

2. The intelligent air conditioning scheduling system according to claim 1, characterized in that, The central server is further configured as follows: Based on historical operating data, predict the number of compressors to be turned on in the future and adjust the water temperature in the pipes to the preset range in advance.

3. The intelligent air conditioning scheduling system according to claim 1, characterized in that, The central server is further configured as follows: Predict the number of air conditioner indoor units to be started and their operating status based on room power consumption data.

4. The intelligent air conditioning scheduling system according to claim 1, characterized in that, The electric valve is bound to the indoor unit of the air conditioner through a tree-like hierarchical relationship; The central server is further configured as follows: When any indoor unit of the air conditioner is running, open the electric valve bound to the indoor unit and all upstream electric valves; When all indoor air conditioning units under any one electric valve are closed, the electric valve is closed.

5. The intelligent air conditioning scheduling system according to claim 4, characterized in that, The electric valves are identified using a numbering system, with the numbering rules including a multi-level branch structure. The central server recursively controls the valve status based on the numbering relationship.

6. The intelligent air conditioning scheduling system according to claim 1, characterized in that, The central server is further configured as follows: Based on the rate of change of indoor temperature and circulating water temperature, the start-up requirements of the air conditioning indoor unit and compressor are predicted, and their operating status is dynamically adjusted.

7. The intelligent air conditioning scheduling system according to claim 1, characterized in that, The central server is further configured as follows: Based on the historical operating time of the compressors, load balancing control is performed to make the operating time of each compressor tend to be average, thereby extending the equipment life.

8. The intelligent air conditioning scheduling system according to claim 1, characterized in that, The system allows users to remotely control or preset air conditioning operation plans via mobile terminals, thus avoiding energy waste.

9. The intelligent air conditioning scheduling system according to claim 1, characterized in that, The central server is further configured as follows: By integrating environmental weather data and user habits, it can intelligently predict and control the operating time and mode of the air conditioning system.

10. A smart air conditioning scheduling method, applied to a smart air conditioning scheduling system as described in any one of claims 1 to 9, characterized in that, Includes the following steps: Acquire the real-time operating status and indoor environmental parameters of multiple indoor air conditioning units in the system; Based on the operating status of the indoor unit of the air conditioner, the on / off status of multiple electric valves connected to the water circuit is controlled to dynamically adjust the water circulation path so that the circulating water flows only through the area where the indoor unit of the air conditioner is in operation. Based on the number of indoor air conditioning units that are turned on, the inlet water temperature, and the outlet water temperature, the target number of compressors in the air conditioning unit that are turned on is determined, and the compressors are controlled to operate at the target number of compressors that are turned on. Based on the adjusted water circulation path, the shortened circulation distance is calculated, and the pump speed is adjusted based on the shortened circulation distance.

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