Central air conditioner control method, system and equipment of large complex and medium

Abstract

The invention discloses a large complex central air conditioner control method, system and equipment and a medium, and the method comprises the steps that an atrium heat source area, a first refrigeration area and a second refrigeration area are obtained; determining a heat propagation path of the large complex based on the internal space characteristics, the heat source parameters, the first temperature data and the third temperature data, wherein the heat propagation path comprises a vertical path and a horizontal path; determining a heat source direct influence area and a heat source indirect influence area in the first refrigeration area; respectively calculating a first thermal disturbance diffusion index and a second thermal disturbance diffusion index based on the internal space characteristics, the temperature change characteristics, the heat source parameters and the environmental influence factors; and a first area temperature compensation coefficient is determined based on the first thermal disturbance diffusion index, a second area temperature compensation coefficient is determined based on the second thermal disturbance diffusion index, and an air conditioner control scheme is generated according to the first area temperature compensation coefficient and the second area temperature compensation coefficient. The operation control efficiency of the air conditioning system in the large complex can be improved.

Description

Technical Field

[0001] The present application relates to the field of air conditioning technology, and in particular to a central air conditioning control method, system, equipment and medium for a large complex. Background Art

[0002] With the modernization of urban architecture, large-scale complexes, integrating commercial, office, and leisure functions, are becoming increasingly popular. These buildings often feature multi-story atriums, which not only provide excellent daylight but also serve as important venues for various commercial activities and exhibitions.

[0003] In related technologies, large complexes generally use zoned central air-conditioning systems for temperature regulation. By arranging temperature sensors in different areas, the temperature changes in each area are monitored in real time, and the cooling capacity is adjusted accordingly based on the changes in the crowd density in the area. Independent air supply and return air vents are set on different floors to maintain the set temperature in each area.

[0004] However, in practice, atriums are often used for commercial exhibitions and promotional events, generating significant heat from booths, large display screens, and other equipment. Furthermore, the building's top floor, with its glass curtain wall structure, is susceptible to a greenhouse effect under sunny conditions. These additional heat sources make it difficult to accurately respond to regional temperature fluctuations using air conditioning methods based solely on foot traffic density, impacting the efficiency of the air conditioning system's operational control. Summary of the Invention

[0005] The present application provides a central air-conditioning control method, system, device and medium for a large complex, which are used to improve the operation control efficiency of the air-conditioning system in the large complex.

[0006] In a first aspect of the present application, a central air-conditioning control method for a large complex is provided, which is applied to a server. The method includes: obtaining an atrium heat source area, a first cooling area, and a second cooling area of ​​the large complex, wherein the atrium heat source area is an atrium area with a cantilever structure in the large complex, and the first cooling area includes the cooling area of ​​each floor between the first floor and the second floor, the first floor is the floor where the atrium heat source area is located, the second floor is the highest floor of the large complex, and the second cooling area is the cooling area of ​​the highest floor; obtaining internal space characteristics of the large complex, first heat source parameters of the atrium heat source area, and second heat source parameters of the second cooling area, the heat source parameters include heat source position, heat source intensity, and heat source duration, and the heat source parameters include first heat source parameters and second heat source parameters; obtaining temperature data of the large complex, the temperature data including first temperature data of the first cooling area, second temperature data of the second cooling area, and temperature data of the atrium heat source area. the third temperature data of the zone; determining the heat propagation path of the large complex based on the internal space characteristics, the heat source parameters, the first temperature data and the third temperature data, the heat propagation path including the vertical path and the horizontal path; determining the heat source direct influence zone and the heat source indirect influence zone in the first refrigeration zone based on the heat propagation path, the first temperature data and the second temperature data; obtaining the temperature change characteristics, heat source parameters and environmental influencing factors of the heat source direct influence zone and the heat source indirect influence zone respectively, and calculating the first thermal disturbance diffusion index of the heat source direct influence zone and the second thermal disturbance diffusion index of the heat source indirect influence zone respectively based on the internal space characteristics, the temperature change characteristics, the heat source parameters and the environmental influencing factors; determining the temperature compensation coefficient of the first zone based on the first thermal disturbance diffusion index, determining the temperature compensation coefficient of the second zone based on the second thermal disturbance diffusion index, and generating an air conditioning control plan according to the temperature compensation coefficient of the first zone and the temperature compensation coefficient of the second zone.

[0007] Optionally, the vertical path includes a first vertical path and a second vertical path, and the heat propagation path of the large complex is determined based on the internal space characteristics, heat source parameters, first temperature data and third temperature data, specifically including: determining the heat rising path of the atrium heat source area based on the first heat source parameters, the loft structure information in the internal space characteristics and the relationship between the floor height; determining the continuity section of heat propagation in the heat rising path according to the first temperature change trend corresponding to different heights in the third temperature data, and obtaining the first vertical path; determining the heat sinking path of the second cooling area based on the second heat source parameters, the top lighting structure and the floor enclosure characteristics in the internal space characteristics; analyzing the second temperature change trend of the first temperature data, and obtaining the second vertical path according to the second temperature change trend and the heat sinking path; determining the horizontal diffusion direction based on the second temperature change trend, the first vertical path and the second vertical path, and obtaining the horizontal path; splicing the first vertical path, the second vertical path and the horizontal path to obtain the heat propagation path.

[0008] Optionally, the horizontal diffusion direction is determined based on the second temperature change trend, the first vertical path and the second vertical path to obtain the horizontal path, specifically including: determining the temperature change start time and temperature change amplitude of multiple target first refrigeration zones between the upper extension boundary of the first vertical path and the lower extension boundary of the second vertical path within the heat source duration; calculating the temperature change rate of each target first refrigeration zone according to the second temperature change trend, and determining the heat diffusion direction of the target first refrigeration zone; analyzing the spatial distribution trend of the temperature change rate of multiple target first refrigeration zones, and constructing the temperature gradient field between multiple target first refrigeration zones based on the distribution trend and the heat diffusion direction; determining the actual heat propagation path according to the direction and intensity of the temperature gradient field and the obstacle distribution in the internal space characteristics to obtain the horizontal path.

[0009] Optionally, based on the heat propagation path, the first temperature data and the second temperature data, the heat source direct influence area and the heat source indirect influence area in the first refrigeration zone are determined, specifically including: determining the temperature change timing data in the heat propagation path based on the first temperature data and the second temperature data, determining the propagation delay time of the temperature change based on the temperature change timing data, marking the first refrigeration zone with a propagation delay time less than a preset time threshold as the heat source direct influence area; taking the first refrigeration zone with a propagation delay time greater than or equal to the preset time threshold as the to-be-determined area, obtaining the temperature fluctuation period and fluctuation amplitude of the to-be-determined area within the heat source duration; when the temperature fluctuation period is within the preset period range, and the temperature fluctuation amplitude is within the preset amplitude range, determining the to-be-determined area as the heat source indirect influence area.

[0010] Optionally, based on the internal space characteristics, temperature change characteristics, heat source parameters and environmental influencing factors, the first thermal disturbance diffusion index of the heat source direct influence area and the second thermal disturbance diffusion index of the heat source indirect influence area are calculated respectively, specifically including: constructing the heat barrier coefficient of the heat source direct influence area and the heat source indirect influence area based on the obstacle distribution information in the internal space characteristics and the temperature conduction rate in the temperature change characteristics, wherein the heat barrier coefficient is used to characterize the attenuation effect of obstacles on heat propagation; calculating the heat diffusion rate of the heat source direct influence area and the heat source indirect influence area based on the heat source intensity, heat source duration and air flow velocity in the environmental influencing factors, and the heat diffusion rate is used to Characterize the degree of heat diffusion per unit time; calculate the ratio of the heat barrier coefficient to the heat diffusion rate to obtain the heat propagation attenuation coefficient; obtain the first heat diffusion characteristic curve based on the heat propagation attenuation coefficient and the propagation delay time of the heat source direct influence area; obtain the second heat diffusion characteristic curve based on the heat propagation attenuation coefficient combined with the temperature fluctuation period of the heat source indirect influence area; perform integration operations on the first heat diffusion characteristic curve and the second heat diffusion characteristic curve respectively to obtain the first thermal disturbance diffusion index and the second thermal disturbance diffusion index, wherein the thermal disturbance diffusion index characterizes the cumulative influence of heat in space, and the thermal disturbance diffusion index includes the first thermal disturbance diffusion index and the second thermal disturbance diffusion index.

[0011] Optionally, determining the first regional temperature compensation coefficient based on the first thermal disturbance diffusion index specifically includes: calculating the rate of change of the first thermal disturbance diffusion index, and when the rate of change is greater than a preset rate threshold, determining the cumulative change of the first thermal disturbance diffusion index, and determining the temperature adjustment reference value based on the cumulative change; calculating the ratio of the temperature adjustment reference value to the propagation delay time of the heat source direct influence zone to obtain the temperature response coefficient; and performing weighted calculation on the temperature response coefficient and the temperature adjustment reference value to obtain the first regional temperature compensation coefficient.

[0012] Optionally, an air conditioning control scheme is generated based on the temperature compensation coefficient of the first area and the temperature compensation coefficient of the second area, specifically including: determining a first temperature adjustment value of the area directly affected by the heat source based on the temperature compensation coefficient of the first area, and determining a second temperature adjustment value of the area indirectly affected by the heat source based on the temperature compensation coefficient of the second area, to obtain a temperature adjustment strategy, the temperature adjustment strategy including the adjustment direction and adjustment amplitude of the supply air temperature; determining a temperature adjustment sequence based on the propagation delay time of the area directly affected by the heat source and the temperature fluctuation period of the area indirectly affected by the heat source; and obtaining an air conditioning control scheme based on the temperature adjustment strategy and the temperature adjustment sequence.

[0013] In a second aspect of the present application, a central air-conditioning control system for a large complex is provided, comprising: The first acquisition module is used to obtain the atrium heat source area, the first cooling area and the second cooling area of ​​the large complex. The atrium heat source area is the atrium area with a cantilever structure in the large complex. The first cooling area includes the cooling area of ​​each floor between the first floor and the second floor. The first floor is the floor where the atrium heat source area is located, the second floor is the highest floor of the large complex, and the second cooling area is the cooling area of ​​the highest floor; the second acquisition module is used to obtain the internal space characteristics of the large complex, the first heat source parameters of the atrium heat source area and the second heat source parameters of the second cooling area. The heat source parameters include the heat source position, heat source intensity and heat source duration. The heat source parameters include the first heat source parameters and the second heat source parameters; the third acquisition module is used to obtain the temperature data of the large complex. The temperature data includes the first temperature data of the first cooling area, the second temperature data of the second cooling area and the third temperature data of the atrium heat source area; the first determination module is used to determine the temperature of the large complex based on the internal space. Characteristics, heat source parameters, first temperature data and third temperature data are used to determine the heat propagation path of the large complex, and the heat propagation path includes a vertical path and a horizontal path; a second determination module is used to determine the heat source direct influence area and the heat source indirect influence area in the first refrigeration zone based on the heat propagation path, the first temperature data and the second temperature data; a calculation module is used to obtain the temperature change characteristics, heat source parameters and environmental influencing factors of the heat source direct influence area and the heat source indirect influence area respectively, and calculate the first thermal disturbance diffusion index of the heat source direct influence area and the second thermal disturbance diffusion index of the heat source indirect influence area respectively based on the internal space characteristics, temperature change characteristics, heat source parameters and environmental influencing factors; a generation module is used to determine the temperature compensation coefficient of the first area based on the first thermal disturbance diffusion index, determine the temperature compensation coefficient of the second area based on the second thermal disturbance diffusion index, and generate an air-conditioning control plan according to the temperature compensation coefficient of the first area and the temperature compensation coefficient of the second area.

[0014] In the third aspect of the present application, an electronic device is provided, including a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are both used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes any of the methods described above.

[0015] In a fourth aspect of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores instructions. When the instructions are executed, any one of the methods described above is executed.

[0016] In summary, one or more technical solutions provided by this application have at least the following technical effects or advantages: 1. Based on the heat source area formed by the unique atrium structure of large-scale complexes, and the temperature distribution characteristics of different floors under the influence of the heat source, the heat propagation paths between the atrium heat source area, the first cooling zone, and the second cooling zone are comprehensively considered, especially the dynamic changes in the vertical and horizontal heat propagation paths. The direct and indirect heat source influence zones within the first cooling zone are identified. The temperature variation characteristics of each influence zone, the heat source parameters, and environmental factors are combined to further calculate the thermal disturbance diffusion index reflecting the thermal disturbance characteristics. This allows for the precise setting of temperature compensation coefficients for different zones, ultimately generating a more targeted and responsive air conditioning control solution. This can effectively enhance the air conditioning system's adaptability to thermal disturbances and the level of precise control, reduce uneven cooling and heating and energy waste, and significantly improve the operating efficiency of the air conditioning system within large-scale complexes.

[0017] 2. Based on the parameters of the first heat source and the relationship between the cantilever structure and floor height, the upward heat flow path is determined. Furthermore, combined with temperature trends at different heights, sections of continuously rising heat are identified, thereby constructing the first vertical path. Similarly, the top structure and closed nature of the second cooling zone determine its heat retention and sinking characteristics. Combining the parameters of the second heat source and the temperature trends of the first cooling zone, the downward heat conduction path is identified, forming the second vertical path. Because thermal disturbances not only diffuse vertically but also propagate horizontally between floors, analyzing the onset time and rate of temperature changes in multiple target first cooling zones between the two vertical paths reveals the horizontal heat diffusion direction. Furthermore, a temperature gradient field is constructed, and combined with information on obstacle distribution, the actual horizontal heat propagation path is derived. Thus, the combination of the first, second, and horizontal paths not only fully constructs the three-dimensional propagation path of the thermal disturbance but also provides a propagation mechanism foundation for the subsequent delineation of heat source impact zones and the development of temperature compensation schemes, thereby enabling precise control of the central air conditioning system's response to thermal disturbances. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a schematic diagram of the system architecture of an embodiment of a central air-conditioning control method for a large complex or a central air-conditioning control system for a large complex according to an embodiment of the present application; Figure 2 This is a flow chart of a central air-conditioning control method for a large complex in an embodiment of the present application; Figure 3 This is a schematic diagram of the structure of a central air-conditioning control system for a large complex in an embodiment of the present application; Figure 4 It is a structural diagram of an electronic device in an embodiment of the present application.

[0019] Explanation of the accompanying drawings: 301, first acquisition module; 302, second acquisition module; 303, third acquisition module; 304, first determination module; 305, second determination module; 306, calculation module; 307, generation module; 401, processor; 402, communication bus; 403, user interface; 404, network interface; 405, memory. DETAILED DESCRIPTION

[0020] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0021] Figure 1 FIG1 shows an exemplary system architecture 100 of an embodiment of a central air conditioning control method for a large complex or a central air conditioning control system for a large complex to which the present application can be applied. Figure 1 As shown, system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. Network 104 is a medium for providing communication links between terminal devices 101, 102, 103 and server 105. Network 104 may include various connection types, such as wired or wireless communication links or fiber optic cables.

[0022] Server 105 is equipped with a program module or algorithmic model for implementing a central air conditioning control method for a large complex. It can collect, analyze, and process heat source parameters, internal spatial characteristics, and temperature data for the atrium heat source zone, the first cooling zone, and the second cooling zone within the large complex. It can determine heat propagation paths, delineate heat source impact zones, and calculate thermal disturbance diffusion indices and temperature compensation coefficients, thereby generating an air conditioning control plan. Server 105 can be a single server or a distributed server cluster, supporting high-concurrency data processing and real-time generation of intelligent control strategies. Terminal devices 101, 102, and 103 can be environmental monitoring terminals, building equipment control terminals, or mobile operation and maintenance terminals deployed within the large complex. These terminal devices can collect environmental data such as temperature and heat source location, or receive air conditioning control commands generated by server 105 and distribute them to specific air conditioning subsystems for execution. They can also be used by operation and maintenance personnel to review data and adjust control strategies. Terminal devices can include, but are not limited to, intelligent sensor controllers, mobile terminals, embedded control panels, and other devices, equipped with data acquisition, communication, and control capabilities. It should be noted that the number of terminal devices, networks and servers in the system architecture 100 is not limited and can be flexibly configured according to the building scale, equipment deployment density and control accuracy requirements.

[0023] Figure 2It is a flow chart of a central air-conditioning control method for a large complex in an embodiment of the present application.

[0024] See also Figure 2 In an embodiment of the present application, a central air conditioning control method for a large complex is applied to a server, and the method includes: S201. Obtain an atrium heat source zone, a first cooling zone, and a second cooling zone of a large complex. The atrium heat source zone is an atrium area with a cantilever structure within the large complex. The first cooling zone includes the cooling zones of each floor between the first and second floors. The first floor is where the atrium heat source zone is located, the second floor is the highest floor of the large complex, and the second cooling zone is the cooling zone of the highest floor. Atrium heat sources refer to the central atrium area within a large complex, typically located in the lower or middle floors of a building. These structural characteristics enhance vertical airflow, making them a significant source of upward transmission of indoor thermal disturbances. Atriums are often characterized by intense heat generation due to the high concentration of traffic and activity, as well as the heat accumulation effect of the overhead voids.

[0025] The first cooling zone is defined as the cooling area capable of operating air conditioning systems on all floors between the floor where the atrium heat source area is located and the highest floor of the large complex. This area covers all intermediate floors that may be passed through and affected by thermal disturbances during the upward propagation from the atrium heat source area. The floor where the atrium heat source area is located refers to the lowest floor of all floors encompassed by the atrium area. Because thermal disturbances exhibit a clear vertical propagation path within the building in the form of airflow carrying heat, the first cooling zone, as the intermediate layer where the upper and lower heat flows intersect and transition, may be affected by both the upward thermal disturbances from the atrium heat source area and the downward thermal disturbance feedback from the second cooling zone.

[0026] The second cooling zone refers to the area on the top floors of large complexes where the air conditioning and cooling systems are installed. This area is located at the top of the building structure and is directly exposed to solar radiation. Especially when the roof is constructed with glass curtain walls, metal roofing, or highly transmissive materials, the heat load caused by solar radiation is significantly enhanced, forming a typical top heat source zone. Furthermore, the second cooling zone itself may contain internal heat sources, such as heat release from top-floor equipment rooms, lighting systems, or human activity. Therefore, the second cooling zone is not only a potential source of thermal disturbance but also a sink for thermal disturbance. Because heat flow propagates in both directions within a building, thermal disturbances generated by the second cooling zone can propagate downward through convection or thermal pressure, affecting the thermal equilibrium of the first cooling zone and the atrium heat source zone. The atrium heat source zone, the first cooling zone, and the second cooling zone can be identified by combining building structural drawings, Building Information Modeling (BIM), or on-site environmental sensors to extract the three-dimensional coordinates of the void space. This, combined with the heat source distribution, is then modeled to determine the first and second cooling zones, as well as the atrium heat source zone.

[0027] S202: Obtaining the internal space characteristics of the large complex, first heat source parameters of the atrium heat source zone, and second heat source parameters of the second cooling zone. The heat source parameters include heat source location, heat source intensity, and heat source duration. The heat source parameters include first heat source parameters and second heat source parameters. In step S202, first obtaining the internal space characteristics of a large complex is a prerequisite for establishing a thermal disturbance propagation path model. Internal space characteristics refer to information such as the spatial division, floor height, cantilever structure, stairwell, elevator shaft, ventilation ducts, curtain wall material, thermal resistance parameters of internal and external walls, and the distribution position of air-conditioning return air vents at the structural level inside the building. Spatial characteristics directly determine the conduction path, transmission rate and accumulation area of ​​heat inside the building. For example, the cantilever structure will enhance the vertical air flow channel and form a heat accumulation effect, while the ventilation shaft or skylight may become an efficient path for "short-circuiting" heat transmission. The above-mentioned spatial characteristics can be extracted through building information model data, or combined with structural drawings and on-site sensor network modeling. During the modeling process, the space is divided into three dimensions so that the heat source parameters and heat propagation paths can be mapped to precise spatial positions later.

[0028] Secondly, the first heat source parameters of the atrium heat source area are obtained in order to characterize the contribution of the atrium heat source area to the overall thermal disturbance. The first heat source parameters include three variables: heat source location, heat source intensity, and heat source duration. The heat source location is used to determine the spatial coordinates of the heat source within the atrium heat source area, the heat source intensity represents the amount of heat released per unit time, and the heat source duration represents the continuous time period of heat release. Obtaining this data usually relies on identifying the type of heat source in the atrium area, such as whether there is a crowd gathering, heat exhaust from shop equipment, operation of the lighting system, or external solar radiation. By deploying infrared thermal imaging, temperature and humidity sensors, and personnel flow monitoring equipment, combined with time series analysis methods, a time-related heat source activity model can be established.

[0029] At the same time, the second heat source parameters of the second cooling zone are obtained to provide support for modeling the downward propagation of thermal disturbances from the top heat source. As the top area of ​​the building, the second cooling zone, in addition to being subjected to external heat sources formed by solar radiation, may also have regional strong heat sources such as server rooms, lighting equipment, and top-floor dining kitchens. The second heat source parameters have the same structure as the first heat source parameters, including heat source location, heat source intensity, and heat source duration. Since solar radiation intensity has obvious distribution characteristics of sunlight angle and time period, when extracting the second heat source parameters, it is necessary to combine the building orientation, thermal conductivity of the roof material, sunlight simulation calculations, and on-site light intensity sensor data to realize dynamic modeling of the solar heat source. In addition, it is necessary to combine equipment operation records and energy consumption data to identify and quantify the heat release capacity and time characteristics of internal heat sources.

[0030] S203, acquiring temperature data of the large complex, the temperature data including first temperature data of the first refrigeration zone, second temperature data of the second refrigeration zone, and third temperature data of the atrium heat source zone; The first temperature data refers to the time-series temperature information obtained by deploying ambient temperature acquisition sensors within the first cooling zone. Since the first cooling zone is located between the atrium heat source area and the second cooling zone, it is the intersection and transition area of ​​upward and downward thermal disturbances, and the temperature changes have high gradient characteristics and conduction response characteristics. In order to obtain accurate first temperature data, high-precision digital temperature sensors need to be deployed at representative locations in the area and distributed in layers and zones to cover different floors, different functional rooms, and air supply and return air ducts. The sensor acquisition frequency can be set to once per minute or higher to meet the real-time capture of dynamic changes in thermal disturbances. At the same time, a wireless transmission module can be used to upload the collected data to the central control system for unified storage and processing.

[0031] Secondary temperature data refers to the temperature information collected in the secondary cooling zone. As the highest floor of the building, the secondary cooling zone is subject to both solar radiation and internal heat sources at the top, making it an upstream source of thermal disturbances. Temperature changes in this area directly reflect the intensity of heat release from the top and the responsiveness of the local air conditioning system. To obtain representative secondary temperature data, it is necessary to consider factors such as roof lighting, orientation, and the thermal conductivity of building materials, deploy multiple temperature collection points under different lighting conditions, and perform correlation modeling with historical energy consumption data from the Building Automation System (BAS) to improve the accuracy and timeliness of temperature data.

[0032] The third temperature data is the temperature information collected from the atrium heat source area. Due to its high-ceiling structure, strong air convection, and high population density, the atrium heat source area is a typical source of thermal disturbance. Temperature changes in the atrium area directly determine the initial intensity and directional characteristics of upward heat propagation. To obtain high-quality third temperature data, it is recommended to use an infrared thermal imager combined with an environmental temperature and humidity sensor for multi-dimensional temperature acquisition, and to combine it with a crowd monitoring system and illuminance sensor to further analyze the impact of human activity and light intensity on temperature changes. At the same time, considering the large height of the atrium space and the uneven vertical distribution of airflow, establishing multiple layers of temperature collection points at different heights can more accurately describe the vertical gradient distribution of thermal disturbances.

[0033] S204: Determine a heat propagation path of the large complex based on the internal space characteristics, the heat source parameters, the first temperature data, and the third temperature data, where the heat propagation path includes a vertical path and a horizontal path. In this embodiment, in order to achieve precise control of the response of the air-conditioning system of a large complex to disturbances caused by multiple heat sources, it is necessary to construct a propagation path of the thermal disturbance inside the building based on the acquired internal space characteristics, heat source parameters, first temperature data and third temperature data. This propagation path is used to characterize the conduction trajectory, directionality and diffusion trend of heat caused by different heat sources in space, and is the basic basis for subsequent thermal disturbance diffusion analysis and air-conditioning compensation strategy formulation. Since thermal disturbances have obvious vertical propagation characteristics inside closed or semi-closed buildings and tend to diffuse along the floor plane, the heat propagation path includes vertical paths and horizontal paths, and a complete thermal disturbance propagation network model is formed by splicing the paths. Specifically, it can include steps S2041-step S2046: S2041. Determine a heat rise path in the atrium heat source area based on the first heat source parameter, the loft structure information in the internal space characteristics, and the relationship between the floor heights. To identify the initial upward heat propagation path within the atrium heat source zone, an analysis is conducted based on the primary heat source parameters, the overhead structure, and the relationship between floor heights. Due to the presence of overhead structures within the atrium heat source zone, hot air expands under the influence of the heat source, reducing its density and generating buoyancy that propels it upward. The vertical connectivity and spatial volume of the overhead structures directly influence the path of vertical heat rise.

[0034] In specific implementation, the spatial geometry of the atrium structure is first extracted from the building information model, including data such as the height, opening area, channel connectivity, and floor location. The heat source location and intensity from the first heat source parameter are then mapped to the three-dimensional model of the atrium's heat source area. A buoyancy-convection coupled thermal flow simulation method, such as buoyancy-driven flow modeling based on computational fluid dynamics (CFD), is used to simulate the upward trend of thermal airflow.

[0035] Finally, through the continuity, velocity direction and temperature gradient information of the heat flow vector in the simulation results, the heat rise path starting from the heat source and extending upward along the cantilever structure was identified, and the coordinate sequence of this path in three-dimensional space was extracted as the heat rise path of the atrium heat source area.

[0036] For example, to uniformly describe the spatial location of key points in the thermal disturbance path, a three-dimensional Cartesian coordinate system was constructed within the large complex. The origin was set at the intersection of the southwest corner of the building's first floor (i.e., X=0m, Y=0m, Z=0m). The X-axis extends horizontally along the building's main entrance, the Y-axis extends perpendicular to the entrance, and the Z-axis represents the height. The atrium heat source is located in the center of the first floor, at coordinates X=15m, Y=12m, and Z=0m. It continuously releases 3.2kW of thermal power. CFD simulation results show that thermal disturbances originate from this point and ascend through the voids at Z=3m, Z=6m, Z=9m, Z=12m, and Z=15m, respectively. The velocity vector direction continues upward, and the temperature isotherms rise layer by layer along the Z-axis, forming a stable heat rise path. The spatial trajectory of the path is expressed as a sequence of coordinate points: (15, 12, 0) → (15, 12, 3) → (15, 12, 6) → (15, 12, 9) → (15, 12, 12) → (15, 12, 15).

[0037] S2042: Determine a continuous section of heat propagation in the heat rising path based on the first temperature change trends corresponding to different heights in the third temperature data, and obtain a first vertical path; After determining the heat rise path within the atrium's heat source area, a sequential analysis of the third temperature data is necessary to further verify whether the thermal disturbance within this path is truly transmitted to the upper levels and exhibits a continuous temperature response. This third temperature data refers to the actual temperature changes at different heights within the heat source area, reflecting the dynamic process of thermal disturbance propagation with height. Specifically, temperature sensors are placed at different heights within the atrium's cantilevered structure to collect temperature data for a certain period before and after the heat source's application. The temperature data at each height point is processed to extract the temperature rise start time, temperature rise amplitude, and temperature change rate. The response time and temperature differences between adjacent height points are then compared and analyzed. If multiple height points exhibit sequential temperature increases after the heat source is activated, with consistent or similar temperature rise rates, and the time delay is within an acceptable range (e.g., no more than 2-3 minutes per floor), the thermal disturbance is considered to have effective continuity within this path. These nodes meeting these criteria are connected in order of height to form the first vertical path. For example, temperature sensors are placed at Z = 0 m, Z = 3 m, Z = 6 m, Z = 9 m, and Z = 12 m. After the heat source is turned on, the temperature at Z=0m rises at 9:05, Z=3m at 9:06, Z=6m at 9:08, Z=9m at 9:11, and Z=12m at 9:14. The temperature increases all exceed 0.5°C, and the time delay is about 2 to 3 minutes, meeting the continuity condition and forming the first vertical path: Z=0m→Z=3m→Z=6m→Z=9m→Z=12m.

[0038] S2043. Determine a heat sink path for the second cooling zone based on the second heat source parameter, the top lighting structure, and the floor enclosure characteristics in the internal space characteristics. To identify whether heat released from the heat source at the top of the second cooling zone diffuses downward along the structure, a heat accumulation and convection exchange model is constructed by integrating the heat source parameters with the building's top structural configuration. This model then identifies the heat sinking path. Specifically, the heat source parameters of the second heat source are first retrieved from the system, including the heat source's location coordinates, heat release intensity, and duration. This is then combined with the building information model to extract structural information about the top area, including whether suspended ceiling mezzanines, elevator shafts, ventilation shafts, and pipe shafts are connected to the lower levels, as well as the opening dimensions and gap locations. Next, a top heat accumulation and convection exchange model is constructed. The heat source is set as the heat flux boundary condition for the top space, and thermophysical parameters such as the initial air temperature and density within the top region are set. This model simulates the localized high-temperature zone formed by heat accumulation in the top space, as well as the possible downward diffusion paths of this high-temperature zone driven by thermal pressure differentials and buoyancy. This model can be implemented using CFD simulation (such as Ansys Fluent), a heat flow network model, or a simplified convection heat transfer model. By analyzing the heat flux vector field in the simulation results, we can identify the path segments where the heat flux propagates along the negative Z-axis and where the heat flux density is greater than a set threshold (e.g., 10W / m²). Finally, we can extract the coordinates of the continuous nodes along the path to form the heat sink path.

[0039] For example, the rooftop machine room on the 10th floor of a building is located at (X=28m, Y=18m, Z=30m) in a unified coordinate system. It releases 4.5kW of heat for the continuously operating outdoor cooling units from 13:00–16:00. The roof structure features a glass skylight with a thermal transmittance of 0.75. Below is a suspended ceiling mezzanine (1.2m thick), which connects to the 9th-floor elevator shaft via a gap. When constructing the simulation model, the heat source is equivalent to the top boundary heat flux input, with an initial air temperature of 26°C and a density of 1.2 kg / m³. CFD simulation shows that the temperature of the top heat accumulation area reaches 33°C and diffuses downward through the gaps in the ceiling. The heat flow direction continuously sinks from Z=30m to Z=27m, Z=24m, and Z=21m. The heat flux density in the channel is 16.4W / m². The heat sink path is confirmed to be: (28, 18, 30)→(28, 18, 27)→(28, 18, 24)→(28, 18, 21).

[0040] S2044, analyzing a second temperature change trend of the first temperature data, and obtaining a second vertical path according to the second temperature change trend and the heat sink path; In this embodiment, to verify whether the thermal disturbance released by the top heat source in the second cooling zone is actually transmitted to the lower floors and forms a perceptible temperature impact path in the real environment, a dynamic analysis of the temperature response trends of each floor along the heat sink path is performed based on the first temperature data, thereby constructing a second vertical path. Specifically, the floors corresponding to the heat sink path (e.g., floors 9 to 5) in the building are selected. Temperature sensor data is then extracted from locations on each floor corresponding to nodes in the heat sink path (e.g., elevator shafts, equipment rooms, and ceiling areas). Next, the temperature changes at each monitoring point within a certain period (e.g., 180 minutes) before and after the activation of the second heat source are analyzed. The starting time of the temperature rise, the temperature rise rate, and the maximum temperature rise amplitude at each point are extracted. If multiple monitoring points exhibit a trend of delayed temperature rise from top to bottom, with the time difference increasing linearly or quasi-linearly, and the temperature rise amplitude exceeds a noise threshold (e.g., greater than 0.5°C), the thermal disturbance is considered to have been transmitted to these floors through the heat sink path. By connecting these points with valid temperature responses in order of floors, a second vertical path can be constructed and spatial matching verification can be performed with the simulated path in S2043.

[0041] In the unified coordinate system, the heat sink path is: (28, 18, 30) → (28, 18, 27) → (28, 18, 24) → (28, 18, 21) → (28, 18, 18), corresponding to the 10th to 6th floors of the building. Temperature sensor data were extracted from the elevator hall area on the 9th floor (28, 18, 27), the 8th floor (28, 18, 24), the 7th floor (28, 18, 21), and the 6th floor (28, 18, 18). The analysis results show that after the heat source was activated, the 9th floor began to heat up at 13:10, with a temperature increase of +0.7°C; the 8th floor increased by +0.6°C at 13:13; the 7th floor increased by +0.6°C at 13:16; and the 6th floor increased by +0.5°C at 13:19. Each floor heated up with a delay of approximately 3 minutes, and the heating rate exceeded 0.2°C / minute. The spatial coordinates of each point were exactly the same as the nodes on the S2043 path, so a second vertical path was constructed: (28, 18, 27) → (28, 18, 24) → (28, 18, 21) → (28, 18, 18). This verifies that thermal disturbances do affect the lower floors along this path in a real environment, demonstrating perceptibility and continuity.

[0042] S2045. Determine a horizontal diffusion direction based on the second temperature change trend, the first vertical path, and the second vertical path to obtain a horizontal path; After thermal disturbances propagate to a certain floor, they may diffuse in a planar direction along the same floor if there is lateral structural connectivity or driven by air conditioning wind fields. Therefore, the heat diffusion direction is analyzed in the floors between the upper boundary of the first vertical path and the lower boundary of the second vertical path.

[0043] Optionally, the horizontal diffusion direction is determined based on the second temperature change trend, the first vertical path and the second vertical path, and the horizontal path is obtained, including: determining the temperature change start time and temperature change amplitude of multiple target first refrigeration zones between the upper extension boundary of the first vertical path and the lower extension boundary of the second vertical path within the heat source duration; calculating the temperature change rate of each target first refrigeration zone according to the second temperature change trend, and determining the heat diffusion direction of the target first refrigeration zone; analyzing the spatial distribution trend of the temperature change rate of multiple target first refrigeration zones, and constructing the temperature gradient field between multiple target first refrigeration zones based on the distribution trend and the heat diffusion direction; determining the actual heat propagation path according to the direction and intensity of the temperature gradient field and the obstacle distribution in the internal space characteristics, and obtaining the horizontal path.

[0044] During the implementation process, the temperature impact of thermal disturbances on multiple floors between the upper boundary of the first vertical path and the lower boundary of the second vertical path was first determined. This allowed the selection of representative target first cooling zones and the extraction of their temperature variation characteristics. The upper boundary of the first vertical path refers to the spatial endpoint where the thermal disturbance rises through the atrium area to its highest continuous response position. The lower boundary of the second vertical path is the lowest spatial point where the thermal disturbance caused by the top heat source ultimately forms a stable response on the lower floors. Between these two boundaries, multiple first cooling zones at different floors or heights along the Z-axis were selected as target first cooling zones. Temperature sensor data within each target first cooling zone was extracted, and the start time and magnitude of the temperature change during the heat source's exposure were analyzed. By comparing these data, a preliminary determination can be made as to whether the thermal disturbance exhibits a top-down or bottom-up diffusion trend in space, providing basic input for subsequent diffusion rate calculation and gradient field construction. For example, in the unified building coordinate system, the upper boundary of the first vertical path is Z = 15 m, corresponding to the top of the 6th floor atrium. The lower boundary of the second vertical path is Z = 18 m, corresponding to the lowest floor responding to the downward heat source disturbance at the top of the 6th floor. Between Z = 15 m and Z = 18 m, two floor areas at Z = 16 m and Z = 17 m were selected as the target first cooling zone. Temperature sensor data was extracted from each area, revealing that the temperature at the Z = 16 m sensing point increased by 0.6°C at 1:12 PM, and the temperature at the Z = 17 m sensing point increased by 0.5°C at 1:15 PM.

[0045] After determining the temperature change start time and temperature change amplitude, to determine how the thermal disturbance propagates across the target first refrigeration zones, the temperature change rate of each target first refrigeration zone is calculated based on the second temperature change trend. This is then used to infer the direction of heat diffusion. The second temperature change trend refers to the temporal curve of the temperature change within the target first refrigeration zone during the continuous application of the heat source, reflecting the timeliness and intensity differences in the propagation of the thermal disturbance at different spatial points. In specific implementation, temperature change data is extracted from multiple temperature monitoring points within each target first refrigeration zone during the heat source application period. A fixed time window (e.g., 5 minutes) is selected after the temperature change start point to calculate the temperature growth slope (i.e., the temperature increase per unit time) as the temperature change rate. The temperature change rates of the different target first refrigeration zones are then compared and sorted from highest to lowest, forming a spatial thermal disturbance ladder structure. The direction of heat diffusion is then determined based on spatial geometric relationships: whether the heat tends to spread from areas with high temperature change rates to areas with low temperature change rates.

[0046] To more accurately characterize the spatial diffusion behavior of thermal disturbances between multiple target first cooling zones, the temperature change rate is distributed and modeled in three-dimensional space to construct a temperature gradient field, thereby quantifying the direction and intensity of heat propagation. A temperature gradient field refers to a vector field formed by the temperature change rate in three-dimensional space, where the gradient vector at each location represents the tendency of heat to spread from a high-temperature rate region to a low-temperature rate region. In specific implementation, the temperature change rate data in all target first cooling zones is first spatially interpolated, using a multi-point weighted average or three-dimensional spline interpolation method to generate a continuous temperature rate field. The gradient vector at each location in this field is then calculated, i.e., the spatial derivative of the rate field is performed to obtain the gradient direction and magnitude at each point. By analyzing the spatial arrangement of these gradient vectors, it is possible to determine where the thermal disturbance is spreading within the target region and whether the diffusion intensity is sufficient to form a continuous path, providing a thermal driving basis for the next step of path identification.

[0047] Because building interiors often contain physical structures such as walls, partitions, glass curtain walls, and stairwells, these structures can block, guide, or deflect the propagation path of thermal disturbances within the space. Therefore, when constructing the actual heat propagation path, the temperature gradient field and obstacle distribution must be coupled for analysis. Specifically, all fixed structures in the building space (such as walls, columns, and partitions) are first extracted from the BIM model and converted into an obstacle grid or blocking area. The temperature gradient field constructed in step three is then mapped into this structured space. A path search algorithm (such as A* or Dijkstra) is then used to search for the shortest thermal resistance path from the high-temperature rate region to the low-temperature rate region, guided by the gradient direction. Impassable regions are skipped, and path segments with the largest thermal gradient direction and unobstructed paths are selected. Finally, a sequence of path point coordinates is output as the actual heat propagation path within the target area, i.e., the horizontal path.

[0048] S2046: Connect the first vertical path, the second vertical path, and the horizontal path to obtain a heat propagation path.

[0049] After identifying the first, second, and horizontal paths, they are spliced ​​together temporally and spatially to form a complete path for the thermal disturbance from the heat source to the affected area. First, the spatial coordinates of each path segment are unified into the 3D building coordinate system. The connection points between the paths are checked for overlap or proximity. If gaps exist, transition segments (such as corridors or traffic cores) are inserted. Then, the paths are sorted according to the heat source start time and the direction of thermal disturbance propagation, ensuring that the temporal and spatial logic of the paths are consistent. Finally, the spliced ​​paths are stored as a node sequence, with each node containing coordinates, timestamps, and temperature change values, forming a complete thermal disturbance propagation path.

[0050] S205: Determine a heat source direct influence area and a heat source indirect influence area in the first refrigeration zone based on the heat propagation path, the first temperature data, and the second temperature data; In step S205, based on the heat propagation path, the first temperature data, and the second temperature data, the heat source direct influence zone and the heat source indirect influence zone in the first cooling zone are accurately divided. Step S205 plays a fundamental role in the subsequent calculation of the temperature compensation coefficient and the generation of the air conditioning control plan. Optionally, determining the heat source direct influence zone and the heat source indirect influence zone in the first cooling zone based on the heat propagation path, the first temperature data, and the second temperature data includes: determining temperature change time series data in the heat propagation path based on the first temperature data and the second temperature data, determining the propagation delay time of the temperature change based on the temperature change time series data, marking the first cooling zone with a propagation delay time less than a preset time threshold as a heat source direct influence zone; determining the first cooling zone with a propagation delay time greater than or equal to the preset time threshold as a pending zone, obtaining the temperature fluctuation period and fluctuation amplitude of the pending zone within the heat source duration; and determining the pending zone as a heat source indirect influence zone when the temperature fluctuation period is within a preset period range and the temperature fluctuation amplitude is within a preset amplitude range.

[0051] Based on the acquired first and second temperature data and the heat propagation path, temperature change time series data is constructed. This temperature change time series data represents the temperature change curves at various locations within the first cooling zone over time. This temperature change time series data can be generated by organizing and analyzing the temperature information collected by the sensor in real time along a timeline. Its purpose is to reveal the speed and direction of heat transfer in space. By analyzing this temperature change time series data, the propagation delay of the temperature change can be further extracted. This is the time interval from the temperature rise in the heat source area to the corresponding temperature rise in a sub-area of ​​the first cooling zone. This propagation delay time is an important reference indicator for determining the intensity of the heat source's impact and the propagation path.

[0052] The first cooling zone sub-area with a propagation delay less than a preset time threshold is marked as the heat source's direct influence zone. This is based on the principle that rapid heat transfer from the heat source zone to the direct influence zone indicates strong thermal coupling between the direct influence zone and the heat source, potentially leading to the presence of a direct air convection path or structural thermal bridge. The preset time threshold, determined experimentally or through analysis of historical operating data, represents the minimum time required for heat to propagate at a certain energy intensity in a typical building structure. Direct influence zones identified in this manner are often critical areas requiring priority for temperature compensation and cooling capacity delivery.

[0053] For the first cooling zone where the propagation delay time is greater than or equal to the preset time threshold, it is not immediately classified as a direct influence zone of the heat source, but is further analyzed as a pending area. Two parameters, temperature fluctuation period and fluctuation amplitude, are introduced here to determine whether these pending areas belong to the indirect influence zone of the heat source. The temperature fluctuation period refers to the frequency at which the temperature of the area fluctuates over time during the continuous action of the heat source, which mainly reflects whether the indirect effect of the heat source on the area is periodic; the temperature fluctuation amplitude indicates the amplitude range of the temperature fluctuation, which is used to judge the intensity of the thermal disturbance. The application of temperature fluctuation period and temperature fluctuation amplitude is based on the physical laws of the building thermal environment, that is, indirect heat propagation often manifests itself as a slow rise in temperature accompanied by periodic fluctuations of a certain amplitude, which is the result of heat conduction through intermediary paths such as structures and air layers.

[0054] When the temperature fluctuation period detected in the pending area is within the preset period range, and its temperature fluctuation amplitude is also within the preset amplitude range, it can be determined that although the heat propagation in these areas is slow, they are still affected by the heat source, and therefore they are judged as indirect heat source influence areas. This judgment method takes into account both timeliness and thermal disturbance intensity factors, can effectively avoid misjudging invalid areas, and also provides a basis for energy-saving operation of air-conditioning systems in non-high heat load areas. For example, in a large commercial complex with a high-ceiling atrium, hot air may rise rapidly to the upper area to form a direct influence area, while some floors on both sides of the atrium, although not directly above the hot air flow, will also experience significant temperature fluctuations after a few minutes due to the effects of thermal radiation and air circulation. Such areas are typical indirect influence areas.

[0055] S206, respectively obtaining temperature variation characteristics, heat source parameters, and environmental influencing factors for the heat source direct influence zone and the heat source indirect influence zone, and respectively calculating a first thermal disturbance diffusion index for the heat source direct influence zone and a second thermal disturbance diffusion index for the heat source indirect influence zone based on the internal space characteristics, temperature variation characteristics, heat source parameters, and environmental influencing factors; In step S206, the diffusion characteristics of thermal disturbances in the direct and indirect heat source influence zones are analyzed to quantify the effects of heat propagation and accumulation in space. By calculating the first and second thermal disturbance diffusion indices, a theoretical basis and quantitative indicators are provided for the subsequent generation of accurate temperature compensation coefficients.

[0056] Optionally, step S206 may include the following steps: constructing a heat barrier coefficient for the heat source direct influence zone and the heat source indirect influence zone based on the obstacle distribution information in the internal space characteristics and the temperature conduction rate in the temperature change characteristics, wherein the heat barrier coefficient is used to characterize the attenuation effect of the obstacle on heat propagation; calculating the heat diffusion rate for the heat source direct influence zone and the heat source indirect influence zone based on the heat source intensity, the heat source duration, and the airflow velocity in the environmental influencing factors, wherein the heat diffusion rate is used to characterize the degree of heat diffusion per unit time; calculating the ratio of the heat barrier coefficient to the heat diffusion rate to obtain a heat propagation attenuation coefficient; obtaining a first heat diffusion characteristic curve based on the heat propagation attenuation coefficient and the propagation delay time of the heat source direct influence zone; obtaining a second heat diffusion characteristic curve based on the heat propagation attenuation coefficient combined with the temperature fluctuation period of the heat source indirect influence zone; performing integral operations on the first heat diffusion characteristic curve and the second heat diffusion characteristic curve respectively to obtain a first thermal disturbance diffusion index and a second thermal disturbance diffusion index, wherein the thermal disturbance diffusion index characterizes the cumulative influence of heat in space, and the thermal disturbance diffusion index includes the first thermal disturbance diffusion index and the second thermal disturbance diffusion index.

[0057] Specifically, temperature variation characteristics primarily include the temperature conduction rate, fluctuation period, and fluctuation amplitude, which describe the dynamic process of heat propagation within a region. Heat source parameters include heat source intensity and duration, reflecting the heat source's ability to exert thermal disturbances on the environment and the time span over which they occur. Environmental influencing factors, such as airflow velocity, humidity, and ventilation methods, are important external variables that influence the path and speed of heat propagation. This data can be acquired through multi-point temperature and humidity sensors, infrared thermal imaging systems, and environmental monitoring equipment deployed throughout the complex. Combined with spatial structure modeling data, this data enables a comprehensive characterization of the thermal environment. Based on the obstacle distribution information from the internal spatial characteristics and the temperature conduction rate from the temperature variation characteristics, thermal insulation coefficients for the direct and indirect heat source influence zones are constructed to quantify the obstruction effect of obstacles on the heat transfer path. By extracting the obstacle distribution for each area from the Building Information Model (BIM), including thermal resistance elements such as walls, floors, and glass curtain walls, and combining their material thermal conductivity λ, thickness d, and area A, the total thermal resistance R along the heat conduction path can be calculated. This is then combined with the temperature conduction rate along this path. (can be obtained by fitting the temperature rise slope of the sensor data) to obtain the heat insulation coefficient : The heat barrier coefficient is used to characterize the attenuation of heat transfer due to obstacles along a path. A larger value indicates a more restricted heat transfer in that area. By calculating the heat barrier coefficients for both the directly affected and indirectly affected areas under actual path structures, it is possible to identify spaces where heat is more likely to accumulate or diffuse.

[0058] Subsequently, based on the intensity of the heat source, the duration of the heat source, and the airflow velocity in the environmental influencing factors, the heat diffusion rate of the heat source direct influence area and the heat source indirect influence area is calculated. This process is used to evaluate the diffusion capacity of the heat source under different environmental conditions. The total heat released by the heat source is given by Expressed as, where Q is the heat release per unit time, is the duration, taking into account the air flow velocity The dilution effect on heat diffusion is used to build a heat diffusion rate model to calculate the heat diffusion rate D h : , where α is a correction factor used to adjust the effect of the deviation between the heat source direction and the airflow direction on the diffusion effect. h The calculation process reflects the degree of heat diffusion per unit time, which directly affects the propagation range of thermal disturbance in space.

[0059] Next, the ratio of the heat barrier coefficient to the heat diffusion rate is calculated to obtain the heat propagation attenuation coefficient. This coefficient reflects the actual attenuation degree γ caused by physical obstacles and changes in environmental flow during the heat propagation path: By comparing the relative strength of heat diffusion capacity and path resistance, the heat propagation attenuation coefficient γ provides a unified indicator for evaluating the efficiency of heat conduction. A larger value for the heat propagation attenuation coefficient γ indicates that heat can more easily penetrate obstacles and diffuse rapidly, while a smaller value indicates that the heat disturbance is significantly attenuated in space.

[0060] After obtaining the heat propagation attenuation coefficient, the first heat diffusion characteristic curve is obtained based on the heat propagation attenuation coefficient and the propagation delay time in the area directly affected by the heat source. The first heat diffusion characteristic curve f1(∆t) uses the propagation delay time ∆t as the independent variable and is constructed using an exponential decay model: ,in is the empirical attenuation coefficient, reflecting the rate at which thermal disturbances decay over time. The first thermal diffusion characteristic curve describes the rapid initial heat propagation and energy dissipation within the direct area of ​​the heat source. It is suitable for simulating the thermal response characteristics of areas above or near the atrium heat source.

[0061] At the same time, based on the heat propagation attenuation coefficient and the temperature fluctuation period of the indirect influence zone of the heat source, the second heat diffusion characteristic curve f2 (T p Since the thermal disturbance in the indirect impact zone often shows periodic slow fluctuations, the temperature fluctuation period is Construct a sinusoidal function model for the independent variable: , where ω is the angular frequency, is the initial phase, used to adjust the relative position of the curve. This function effectively fits the periodic accumulation and release of heat in conditions of flow around obstacles or multi-path conduction, such as areas near atrium wings, stairwells, or air conditioning return vents.

[0062] Finally, the first thermal diffusion characteristic curve and the second thermal diffusion characteristic curve are integrated to obtain the first thermal disturbance diffusion index and the second thermal disturbance diffusion index. The specific calculation is as follows: The first thermal disturbance diffusion index (directly affected area): ; Second thermal disturbance diffusion index (indirect impact area): .in and The integration time window is typically set to the duration of the heat source or the air conditioning control cycle. The two thermal disturbance diffusion indices represent the cumulative intensity of thermal disturbances experienced per unit area within the direct and indirect impact zones, respectively, providing a quantitative basis for determining temperature compensation strategies for subsequent air conditioning systems.

[0063] S207 : Determine a first-region temperature compensation coefficient based on the first thermal disturbance diffusion index, determine a second-region temperature compensation coefficient based on the second thermal disturbance diffusion index, and generate an air conditioning control plan based on the first-region temperature compensation coefficient and the second-region temperature compensation coefficient.

[0064] In step S207, based on the completed thermal disturbance diffusion analysis, the thermal disturbance diffusion index is further converted into a temperature control adjustment variable, thereby constructing a dynamic air conditioning control solution. Using the first and second thermal disturbance diffusion indices as key inputs, step S207 determines the first region temperature compensation coefficient (the temperature compensation coefficient for the area directly affected by the heat source) and the second region temperature compensation coefficient (the temperature compensation coefficient for the area indirectly affected by the heat source), respectively. Based on these two coefficients, a specific temperature adjustment strategy and timing are then formed. Ultimately, an air conditioning control solution is generated that matches the actual thermal disturbance response characteristics, achieving coordinated optimization of energy conservation and comfort.

[0065] In a specific implementation, firstly, a temperature compensation coefficient of the first region is determined based on the first thermal disturbance diffusion index. Optionally, determining the temperature compensation coefficient of the first region based on the first thermal disturbance diffusion index may include the following steps: calculating a rate of change of the first thermal disturbance diffusion index, and when the rate of change is greater than a preset rate threshold, determining a cumulative change of the first thermal disturbance diffusion index, and determining a temperature adjustment reference value based on the cumulative change; calculating a ratio of the temperature adjustment reference value to a propagation delay time of the heat source directly affected area to obtain a temperature response coefficient; The temperature response coefficient and the temperature adjustment reference value are weightedly calculated to obtain the first region temperature compensation coefficient.

[0066] To do this, it is necessary to first calculate the rate of change of the first thermal disturbance diffusion index. The rate of change can be obtained by dividing the difference in the diffusion index between the two control cycles by the time interval, which represents the dynamic change trend of the thermal disturbance intensity. If the rate of change exceeds the preset rate threshold, it means that the heat source activity or thermal environment conditions have changed rapidly, and the air-conditioning system needs to respond in time. At this time, the cumulative change of the first thermal disturbance diffusion index over a certain period of time is further calculated, that is, the cumulative growth value of the diffusion index in the past several cycles, which is used to quantify the degree of thermal disturbance accumulation. Based on this cumulative change, a temperature adjustment reference value can be set, which represents the temperature correction amplitude that the air-conditioning system should make. Its unit is usually ℃, which is used to directly guide the adjustment target of the supply air temperature or cooling output.

[0067] To improve the responsiveness of the adjustment, it is also necessary to introduce the relationship between the propagation delay time and the temperature adjustment reference value. The propagation delay time reflects the response time of heat transfer from the heat source to the directly affected area. The shorter the propagation delay time, the faster the impact of the thermal disturbance, and the more timely the air conditioner response needs to be. Therefore, the temperature adjustment reference value is calculated by the ratio of the propagation delay time to obtain the temperature response coefficient, which is used to measure the urgency of the adjustment action. Finally, the temperature response coefficient is weighted and combined with the temperature adjustment reference value to obtain the first area temperature compensation coefficient of the first area: the first area temperature compensation coefficient = ⋅Temperature adjustment reference value+ ⋅Temperature response coefficient, where and This is an empirically weighted coefficient that controls the compensation's sensitivity to the current disturbance intensity and response speed. The resulting temperature compensation coefficient is dynamically adjustable, accurately reflecting the actual cooling demand in areas directly affected by the heat source. For example, if thermal disturbances in the upper atrium continue to intensify, the diffusion index rises rapidly, and the propagation delay is short, the temperature compensation coefficient in that area will increase rapidly, instructing the air conditioning system to increase cooling air supply and prevent excessive temperature rise.

[0068] While calculating the temperature compensation coefficient for the first region, the second region, the indirectly affected region, also needs to be calculated based on the second thermal disturbance diffusion index. While this process is logically similar to the directly affected region, because thermal disturbances in the indirectly affected region typically change more slowly and cyclically, the calculation prioritizes the long-term trend of the diffusion index over short-term, drastic changes. A similar integration method can be used to calculate historical thermal disturbance changes, and the adjustment amplitude can be adjusted based on the temperature fluctuation period to ultimately achieve a relatively stable temperature compensation coefficient for the second region.

[0069] After obtaining the first area temperature compensation coefficient and the second area temperature compensation coefficient, the air conditioning control strategy generation phase may be entered. Optionally, generating the air conditioning control scheme based on the first area temperature compensation coefficient and the second area temperature compensation coefficient may include: Determining a first temperature adjustment value for the zone directly affected by the heat source based on the temperature compensation coefficient of the first zone, and determining a second temperature adjustment value for the zone indirectly affected by the heat source based on the temperature compensation coefficient of the second zone, to obtain a temperature adjustment strategy, the temperature adjustment strategy including an adjustment direction and an adjustment range of the supply air temperature; Determine the temperature adjustment sequence based on the propagation delay time of the area directly affected by the heat source and the temperature fluctuation period of the area indirectly affected by the heat source; The air conditioning control scheme is obtained based on the temperature adjustment strategy and temperature adjustment timing.

[0070] First, the temperature compensation coefficient for the first zone is mapped to a first temperature adjustment value, which serves as the target for the supply air temperature in the zone directly affected by the heat source. Simultaneously, the temperature compensation coefficient for the second zone is mapped to a second temperature adjustment value, which serves as the target for the supply air temperature in the zone indirectly affected by the heat source. These two temperature adjustment values ​​together constitute the temperature adjustment strategy, which determines whether to increase or decrease the supply air temperature (the adjustment direction) and the adjustment amount (the adjustment amplitude). These values ​​are directly used to modify the output parameters of the air conditioning system.

[0071] To ensure that the timing of adjustment actions matches the propagation process of the thermal disturbance, the temperature adjustment timing for the directly and indirectly affected areas of the heat source must be determined separately based on the propagation delay time and the temperature fluctuation period. Specifically, the directly affected areas should complete the adjustment before the arrival of the thermal disturbance. The indirectly affected areas can determine the inflection point of the temperature fluctuation based on the period and complete the cooling before the peak of the thermal disturbance. By organically combining the above temperature adjustment strategy with the adjustment timing, an air conditioning control scheme containing parameters such as adjustment nodes, adjustment amplitude, and adjustment priority can be generated, achieving dynamic coupled control of spatial thermal disturbances and air conditioning responses.

[0072] For example, in a large shopping mall, when the atrium's heat source rapidly increases due to the opening of activities, the thermal disturbance diffusion index in the directly affected area rises rapidly, with a propagation delay of only one minute. After calculation, the temperature compensation coefficient reaches 3.3°C, and the system immediately sets the supply air temperature to decrease by 3.3°C, and the adjustment is set to be completed 45 seconds in advance. Meanwhile, in the indirectly affected area located on the third floor wing, thermal disturbances accumulate slowly over a 20-minute period. The system then makes a gentle adjustment with a compensation value of 1.5°C, and the adjustment is set to be executed 5 minutes before the peak of the period. This type of time-differentiated control achieves precise, zoned, and time-synchronized intelligent temperature control.

[0073] See also Figure 3, is a schematic structural diagram of a central air-conditioning control system for a large complex provided in an embodiment of the present application. The central air-conditioning control system 300 for a large complex specifically includes: The first acquisition module 301 is used to obtain the atrium heat source area, the first cooling area and the second cooling area of ​​the large complex. The atrium heat source area is the atrium area with a cantilever structure in the large complex. The first cooling area includes the cooling area of ​​each floor between the first floor and the second floor. The first floor is the floor where the atrium heat source area is located, the second floor is the highest floor of the large complex, and the second cooling area is the cooling area of ​​the highest floor. The second acquisition module 302 is used to obtain the internal space characteristics of the large complex, the first heat source parameters of the atrium heat source area and the second heat source parameters of the second cooling area. The heat source parameters include the heat source position, heat source intensity and heat source duration. The heat source parameters include the first heat source parameters and the second heat source parameters. The third acquisition module 303 is used to obtain the temperature data of the large complex. The temperature data includes the first temperature data of the first cooling area, the second temperature data of the second cooling area and the third temperature data of the atrium heat source area. The first determination module 304 is used to determine the internal space characteristics of the large complex based on the internal space characteristics of the large complex. The heat propagation path of the large complex is determined based on the spatial characteristics, heat source parameters, first temperature data, and third temperature data. The heat propagation path includes a vertical path and a horizontal path. A second determination module 305 is used to determine the heat source direct influence area and the heat source indirect influence area in the first cooling zone based on the heat propagation path, the first temperature data, and the second temperature data. A calculation module 306 is used to respectively obtain the temperature change characteristics, heat source parameters, and environmental influencing factors of the heat source direct influence area and the heat source indirect influence area, and calculate the first thermal disturbance diffusion index of the heat source direct influence area and the second thermal disturbance diffusion index of the heat source indirect influence area based on the internal spatial characteristics, temperature change characteristics, heat source parameters, and environmental influencing factors. A generation module 307 is used to determine the temperature compensation coefficient of the first area based on the first thermal disturbance diffusion index, determine the temperature compensation coefficient of the second area based on the second thermal disturbance diffusion index, and generate an air conditioning control plan based on the temperature compensation coefficient of the first area and the temperature compensation coefficient of the second area.

[0074] Optionally, the first determination module 304 is specifically used to: determine the heat rising path of the atrium heat source area based on the first heat source parameter, the loft structure information in the internal space characteristics and the relationship between the floor height; determine the continuity section of heat propagation in the heat rising path according to the first temperature change trend corresponding to different heights in the third temperature data, and obtain the first vertical path; determine the heat sinking path of the second cooling area based on the second heat source parameter, the top lighting structure and the floor enclosure characteristics in the internal space characteristics; analyze the second temperature change trend of the first temperature data, and obtain the second vertical path according to the second temperature change trend and the heat sinking path; determine the horizontal diffusion direction based on the second temperature change trend, the first vertical path and the second vertical path, and obtain the horizontal path; splice the first vertical path, the second vertical path and the horizontal path to obtain the heat propagation path.

[0075] Optionally, the first determination module 304 is further specifically used to: determine the starting time and temperature change amplitude of the multiple target first refrigeration zones between the upper extension boundary of the first vertical path and the lower extension boundary of the second vertical path within the heat source duration; calculate the temperature change rate of each target first refrigeration zone according to the second temperature change trend, and determine the heat diffusion direction of the target first refrigeration zone; analyze the spatial distribution trend of the temperature change rate of multiple target first refrigeration zones, and construct a temperature gradient field between multiple target first refrigeration zones based on the distribution trend and the heat diffusion direction; determine the actual heat propagation path according to the direction and intensity of the temperature gradient field and the obstacle distribution in the internal space characteristics to obtain a horizontal path.

[0076] Optionally, the second determination module 305 is specifically used to: determine the temperature change timing data in the heat propagation path based on the first temperature data and the second temperature data, determine the propagation delay time of the temperature change based on the temperature change timing data, mark the first refrigeration zone whose propagation delay time is less than a preset time threshold as a heat source direct influence zone; use the first refrigeration zone whose propagation delay time is greater than or equal to the preset time threshold as a pending area, obtain the temperature fluctuation period and fluctuation amplitude of the pending area within the heat source duration; when the temperature fluctuation period is within the preset period range and the temperature fluctuation amplitude is within the preset amplitude range, determine the pending area as a heat source indirect influence zone.

[0077] Optionally, the calculation module 306 is specifically configured to: construct a heat barrier coefficient for the heat source direct influence zone and the heat source indirect influence zone based on the obstacle distribution information in the internal space characteristics and the temperature conduction rate in the temperature change characteristics, wherein the heat barrier coefficient is used to characterize the attenuation effect of the obstacle on heat propagation; calculate a heat diffusion rate for the heat source direct influence zone and the heat source indirect influence zone based on the heat source intensity, the heat source duration, and the airflow velocity in the environmental influencing factors, wherein the heat diffusion rate is used to characterize the degree of heat diffusion per unit time; calculate a ratio of the heat barrier coefficient to the heat diffusion rate to obtain a heat propagation attenuation coefficient; obtain a first heat diffusion characteristic curve based on the heat propagation attenuation coefficient and the propagation delay time of the heat source direct influence zone; obtain a second heat diffusion characteristic curve based on the heat propagation attenuation coefficient combined with the temperature fluctuation period of the heat source indirect influence zone; and perform integral operations on the first heat diffusion characteristic curve and the second heat diffusion characteristic curve to obtain a first thermal perturbation diffusion index and a second thermal perturbation diffusion index, respectively, wherein the thermal perturbation diffusion index characterizes the cumulative influence of heat in space, and the thermal perturbation diffusion index includes the first thermal perturbation diffusion index and the second thermal perturbation diffusion index.

[0078] Optionally, the generation module 307 is specifically used to: calculate the rate of change of the first thermal disturbance diffusion index, and when the rate of change is greater than a preset rate threshold, determine the cumulative change of the first thermal disturbance diffusion index, and determine the temperature adjustment reference value based on the cumulative change; calculate the ratio of the temperature adjustment reference value to the propagation delay time of the heat source direct influence area to obtain the temperature response coefficient; and perform weighted calculation on the temperature response coefficient and the temperature adjustment reference value to obtain the first area temperature compensation coefficient.

[0079] Optionally, the generation module 307 is further specifically used to: determine a first temperature adjustment value of the area directly affected by the heat source based on the temperature compensation coefficient of the first area, determine a second temperature adjustment value of the area indirectly affected by the heat source based on the temperature compensation coefficient of the second area, and obtain a temperature adjustment strategy, the temperature adjustment strategy including the adjustment direction and adjustment amplitude of the supply air temperature; determine the temperature adjustment timing according to the propagation delay time of the area directly affected by the heat source and the temperature fluctuation period of the area indirectly affected by the heat source; and obtain an air conditioning control plan based on the temperature adjustment strategy and the temperature adjustment timing.

[0080] It should be noted that: when the device provided in the above embodiment realizes its function, it is only illustrated by the division of the above functional modules.

[0081] This embodiment also discloses an electronic device, referring to Figure 4The electronic device may include: at least one processor 401, at least one communication bus 402, a user interface 403, a network interface 404, and at least one memory 405. The communication bus 402 is used to enable communication between these components. The user interface 403 may include a display screen and a camera, and may optionally include a standard wired interface or a wireless interface. The network interface 404 may optionally include a standard wired interface or a wireless interface.

[0082] Among them, the processor 401 may include one or more processing cores. The processor 401 uses various interfaces and lines to connect various parts within the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 405, and calling data stored in the memory 405. Optionally, the processor 401 can be implemented in the form of at least one hardware of digital signal processing, field programmable gate array, and programmable logic array. The processor 401 can integrate one or more combinations of a central processing unit, an image processor, and a modem. It is understandable that the above-mentioned modem may not be integrated into the processor 401, but may be implemented separately through a chip.

[0083] Among them, the memory 405 may include a random access memory or a read-only memory. Optionally, the memory 405 includes a non-transitory computer-readable medium. The memory 405 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 405 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function, instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 405 may also be optionally at least one storage device located away from the aforementioned processor 401. As Figure 4 As shown, the memory 405 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program of a central air-conditioning control method for a large complex.

[0084] exist Figure 4 In the electronic device shown, the user interface 403 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 401 can be used to call an application program stored in the memory 405 for a central air-conditioning control method for a large complex. When executed by one or more processors 401, the electronic device executes one or more methods as in the above-mentioned embodiments.

[0085] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. The technical solution of this application, or the portion that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. This computer software product is stored in a memory 405 and includes several instructions for causing a computer device to execute all or part of the steps of the various embodiments of the method of this application. The memory 405 includes various media that can store program code, such as a USB flash drive, a mobile hard drive, a magnetic disk, or an optical disk.

[0086] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification, those skilled in the art will easily think of other embodiments of the present disclosure. This application is intended to cover any variations, uses or adaptive changes of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the technical field that are not recorded in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A central air conditioning control method for a large complex, characterized in that: Applied to a server, the method includes: Obtain an atrium heat source area, a first cooling area, and a second cooling area of ​​a large complex. The atrium heat source area is an atrium area with a cantilever structure within the large complex. The first cooling area includes the cooling area of ​​each floor between the first and second floors. The first floor is the floor where the atrium heat source area is located. The second floor is the top floor of the large complex. The second cooling area is the cooling area of ​​the top floor. Obtaining internal space characteristics of the large complex, first heat source parameters of the atrium heat source zone, and second heat source parameters of the second cooling zone, where the heat source parameters include heat source location, heat source intensity, and heat source duration, and the heat source parameters include the first heat source parameters and the second heat source parameters; Acquiring temperature data of the large complex, the temperature data including first temperature data of the first refrigeration zone, second temperature data of the second refrigeration zone, and third temperature data of the atrium heat source zone; determining a heat propagation path of the large complex based on the internal space characteristics, the heat source parameters, the first temperature data, and the third temperature data, wherein the heat propagation path includes a vertical path and a horizontal path; determining a heat source direct influence area and a heat source indirect influence area in the first refrigeration zone based on the heat propagation path, the first temperature data, and the second temperature data; respectively obtaining temperature variation characteristics, heat source parameters, and environmental influencing factors of the heat source direct influence zone and the heat source indirect influence zone, and respectively calculating a first thermal disturbance diffusion index of the heat source direct influence zone and a second thermal disturbance diffusion index of the heat source indirect influence zone based on the internal space characteristics, the temperature variation characteristics, the heat source parameters, and the environmental influencing factors; A first regional temperature compensation coefficient is determined based on the first thermal disturbance diffusion index, a second regional temperature compensation coefficient is determined based on the second thermal disturbance diffusion index, and an air conditioning control scheme is generated according to the first regional temperature compensation coefficient and the second regional temperature compensation coefficient.

2. The method according to claim 1, characterized in that The vertical path includes a first vertical path and a second vertical path. Determining the heat propagation path of the large complex based on the internal space characteristics, the heat source parameters, the first temperature data, and the third temperature data specifically includes: Determining a heat rise path in the atrium heat source area based on the first heat source parameter, the lofted structure information in the internal space characteristics, and the relationship between the floor heights; determining a continuous section of heat propagation in the heat rising path according to first temperature change trends corresponding to different heights in the third temperature data, to obtain a first vertical path; Determining a heat sink path for the second cooling zone based on the second heat source parameter, the top lighting structure, and the floor enclosure characteristics among the internal space characteristics; analyzing a second temperature change trend of the first temperature data, and obtaining a second vertical path according to the second temperature change trend and the heat sink path; determining a horizontal diffusion direction based on the second temperature change trend, the first vertical path, and the second vertical path to obtain the horizontal path; The first vertical path, the second vertical path and the horizontal path are spliced ​​to obtain the heat transfer path.

3. The method according to claim 2, characterized in that The determining the horizontal diffusion direction based on the second temperature change trend, the first vertical path, and the second vertical path to obtain the horizontal path specifically includes: Determining the temperature change start time and temperature change amplitude of a plurality of target first refrigeration zones between the upper boundary of the first vertical path and the lower boundary of the second vertical path within the duration of the heat source; calculating the temperature change rate of each of the target first refrigeration zones according to the second temperature change trend, and determining the heat diffusion direction of the target first refrigeration zones; Analyzing the spatial distribution trend of the temperature change rates of the plurality of target first refrigeration zones, and constructing the temperature gradient fields between the plurality of target first refrigeration zones based on the distribution trend and the heat diffusion direction; The actual heat propagation path is determined according to the direction and intensity of the temperature gradient field and the obstacle distribution in the internal space characteristics to obtain the horizontal path.

4. The method according to claim 1, wherein The determining, based on the heat propagation path, the first temperature data, and the second temperature data, a heat source direct influence area and a heat source indirect influence area in the first refrigeration zone specifically includes: determining temperature change time series data in the heat propagation path based on the first temperature data and the second temperature data, determining a propagation delay time of the temperature change based on the temperature change time series data, and marking the first refrigeration zone where the propagation delay time is less than a preset time threshold as the heat source directly affected zone; Taking the first refrigeration zone where the propagation delay time is greater than or equal to the preset time threshold as a pending area, and obtaining the temperature fluctuation period and fluctuation amplitude of the pending area within the duration of the heat source; When the temperature fluctuation period is within a preset period range and the temperature fluctuation amplitude is within a preset amplitude range, the to-be-determined area is determined as an indirect influence area of ​​a heat source.

5. The method according to claim 4, characterized in that The calculating of the first thermal disturbance diffusion index of the heat source directly affected area and the second thermal disturbance diffusion index of the heat source indirectly affected area based on the internal space characteristics, the temperature change characteristics, the heat source parameters and the environmental influencing factors specifically includes: Constructing heat barrier coefficients for the heat source direct influence zone and the heat source indirect influence zone based on the obstacle distribution information in the internal space characteristics and the temperature conduction rate in the temperature change characteristics, wherein the heat barrier coefficients are used to characterize the attenuation effect of obstacles on heat propagation; Calculating the heat diffusion rate of the heat source directly affected area and the heat source indirectly affected area based on the heat source intensity, the heat source duration, and the airflow velocity in the environmental influencing factors, wherein the heat diffusion rate is used to represent the degree of heat diffusion per unit time; Calculating the ratio of the heat blocking coefficient to the heat diffusion rate to obtain a heat propagation attenuation coefficient; Obtaining a first heat diffusion characteristic curve based on the heat propagation attenuation coefficient and the propagation delay time of the area directly affected by the heat source; Obtaining a second heat diffusion characteristic curve based on the heat propagation attenuation coefficient and the temperature fluctuation period of the heat source indirect influence area; Integrating the first thermal diffusion characteristic curve and the second thermal diffusion characteristic curve respectively, obtains the first thermal perturbation diffusion index and the second thermal perturbation diffusion index, wherein the thermal perturbation diffusion index characterizes the cumulative impact of heat in space, and the thermal perturbation diffusion index includes the first thermal perturbation diffusion index and the second thermal perturbation diffusion index.

6. The method according to claim 1, characterized in that The determining of the first region temperature compensation coefficient based on the first thermal disturbance diffusion index specifically includes: calculating a rate of change of the first thermal disturbance diffusion index, and when the rate of change is greater than a preset rate threshold, determining a cumulative change of the first thermal disturbance diffusion index, and determining a temperature adjustment reference value based on the cumulative change; Calculating the ratio of the temperature adjustment reference value to the propagation delay time of the heat source directly affected area to obtain a temperature response coefficient; The temperature response coefficient and the temperature adjustment reference value are weightedly calculated to obtain the first region temperature compensation coefficient.

7. The method according to claim 1, characterized in that Generating an air conditioning control scheme according to the first area temperature compensation coefficient and the second area temperature compensation coefficient specifically includes: Determining a first temperature adjustment value for the heat source directly affected area based on the first area temperature compensation coefficient, and determining a second temperature adjustment value for the heat source indirectly affected area based on the second area temperature compensation coefficient, to obtain a temperature adjustment strategy, the temperature adjustment strategy including an adjustment direction and an adjustment range of the supply air temperature; Determining a temperature adjustment sequence based on a propagation delay time of the area directly affected by the heat source and a temperature fluctuation period of the area indirectly affected by the heat source; The air conditioning control solution is obtained based on the temperature adjustment strategy and the temperature adjustment time sequence.

8. A central air-conditioning control system for a large complex, characterized in that: include: A first acquisition module is configured to acquire an atrium heat source area, a first cooling area, and a second cooling area of ​​a large complex, wherein the atrium heat source area is an atrium area with a cantilever structure within the large complex, the first cooling area includes the cooling area of ​​each floor between the first floor and the second floor, the first floor being the floor where the atrium heat source area is located, the second floor being the highest floor of the large complex, and the second cooling area being the cooling area of ​​the highest floor; a second acquisition module, configured to acquire internal spatial characteristics of the large complex, first heat source parameters of the atrium heat source zone, and second heat source parameters of the second cooling zone, wherein the heat source parameters include heat source location, heat source intensity, and heat source duration, and the heat source parameters include the first heat source parameters and the second heat source parameters; a third acquisition module, configured to acquire temperature data of the large complex, the temperature data including first temperature data of the first refrigeration zone, second temperature data of the second refrigeration zone, and third temperature data of the atrium heat source zone; a first determining module, configured to determine a heat propagation path of the large complex based on the internal space characteristics, the heat source parameters, the first temperature data, and the third temperature data, wherein the heat propagation path includes a vertical path and a horizontal path; a second determining module, configured to determine a heat source direct influence area and a heat source indirect influence area in the first refrigeration zone based on the heat propagation path, the first temperature data, and the second temperature data; a calculation module, configured to respectively obtain temperature variation characteristics, heat source parameters, and environmental influencing factors of the heat source direct influence zone and the heat source indirect influence zone, and respectively calculate a first thermal disturbance diffusion index of the heat source direct influence zone and a second thermal disturbance diffusion index of the heat source indirect influence zone based on the internal space characteristics, the temperature variation characteristics, the heat source parameters, and the environmental influencing factors; A generation module is used to determine a first regional temperature compensation coefficient based on the first thermal disturbance diffusion index, determine a second regional temperature compensation coefficient based on the second thermal disturbance diffusion index, and generate an air conditioning control plan based on the first regional temperature compensation coefficient and the second regional temperature compensation coefficient.

9. An electronic device, characterized in that: include: one or more processors and memory; The memory is coupled to the one or more processors, and is configured to store computer program codes, where the computer program codes include computer instructions. The one or more processors call the computer instructions to enable the electronic device to execute the method according to any one of claims 1 to 7.

10. A computer-readable storage medium comprising instructions, characterized in that: When the instructions are executed on the electronic device, the electronic device is caused to execute the method according to any one of claims 1 to 7.

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