A central air conditioning control method, system, device and medium for a large complex

By constructing the heat propagation path and heat disturbance diffusion index of a large complex, a precise air conditioning control scheme is generated, which solves the problem of insufficient response to heat changes in the central air conditioning system of a large complex in the atrium and top floor areas, and improves the operating efficiency of the air conditioning system.

CN120702071BActive Publication Date: 2025-11-25WENZHOU TENGSHENG INFORMATION SYST CO LTD
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Patent Information

Application Number
CN202511211469.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-08-28
Publication Date
2025-11-25
Estimated Expiration
2045-08-28

AI Technical Summary

Technical Problem

Existing central air conditioning systems in large complexes struggle to accurately respond to heat changes in the atrium and top-floor areas, resulting in low air conditioning efficiency, especially when the atrium is used for commercial exhibitions and the top floor features a glass curtain wall structure.

Method used

By acquiring the heat source parameters and temperature data of the central atrium heat source area, the first cooling zone, and the second cooling zone of a large complex, heat propagation paths are constructed, the direct and indirect influence areas of the heat source are identified, and the heat disturbance diffusion index is calculated to generate a precise air conditioning control scheme.

Benefits of technology

It achieves precise response control to thermal disturbances, reduces uneven heating and cooling and energy waste, and improves the operating efficiency of the air conditioning system.

✦ Generated by Eureka AI based on patent content.

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Abstract

A central air conditioning control method, system, device and medium of a large complex, wherein the method comprises: obtaining a central court heat source area, a first refrigeration area and a second refrigeration area; determining a heat propagation path of the large complex based on internal space characteristics, heat source parameters, first temperature data and third temperature data, the heat propagation path comprising a vertical path and a horizontal path; determining a direct influence area and an indirect influence area of the heat source in the first refrigeration area; and calculating a first heat disturbance diffusion index and a second heat disturbance diffusion index based on the internal space characteristics, temperature change characteristics, heat source parameters and environmental influence factors respectively; determining a first regional temperature compensation coefficient based on the first heat disturbance diffusion index, determining a second regional temperature compensation coefficient based on the second heat disturbance diffusion index, and generating an air conditioning control scheme according to the first regional temperature compensation coefficient and the second regional temperature compensation coefficient. The application can improve the operation control efficiency of the air conditioning system in the large complex.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of air conditioning regulation, and particularly relates to a central air conditioning control method, system, device and medium for a large complex. BACKGROUND

[0002] With the modernization development of urban buildings, large complexes are widely used as a building form integrating business, office, leisure and other functions. Such buildings are usually designed with a multi-story atrium space, which not only provides good lighting effect, but also becomes an important place for holding various commercial activities and exhibitions.

[0003] In related technologies, a large complex generally uses a partitioned central air conditioning system for temperature regulation. Temperature sensors are arranged in different areas to monitor the temperature changes in each area in real time. The cooling capacity is adjusted based on the changes in the human flow density in the area. Independent air supply outlets and return air inlets are set on different floors to maintain the set temperature in each area.

[0004] However, in actual applications, the atrium area is often used for holding commercial exhibitions and promotional activities. The equipment such as exhibition stands and large display screens will generate a large amount of heat. At the same time, the top area of the building adopts a glass curtain wall structure, which is easy to form a greenhouse effect under sunlight conditions. These additional heat sources make it difficult for the air conditioning regulation method based only on the human flow density to accurately respond to the temperature changes in the area, affecting the operation control efficiency of the air conditioning system. SUMMARY

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

[0006] The first aspect of the present application provides a central air conditioning control method of a large complex, applied to a server, the method comprising: obtaining a central atrium heat source area, a first refrigeration area and a second refrigeration area of the large complex, the central atrium heat source area being a central atrium area of the large complex provided with a hollow structure, the first refrigeration area comprising a refrigeration area of each floor between a first floor and a second floor, the first floor being a floor where the central atrium heat source area is located, and the second floor being the highest floor of the large complex, and the second refrigeration area being a refrigeration area of the highest floor; obtaining internal space features of the large complex, first heat source parameters of the central atrium heat source area, and second heat source parameters of the second refrigeration area, the heat source parameters comprising heat source positions, heat source intensities and heat source durations, and the heat source parameters comprising the first heat source parameters and the second heat source parameters; obtaining temperature data of the large complex, the temperature data comprising first temperature data of the first refrigeration area, second temperature data of the second refrigeration area, and third temperature data of the central atrium heat source area; determining a heat propagation path of the large complex based on the internal space features, the heat source parameters, the first temperature data and the third temperature data, the heat propagation path comprising 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 based on the heat propagation path, the first temperature data and the second temperature data; obtaining temperature variation features, heat source parameters and environmental influence factors of the heat source direct influence area and the heat source indirect influence area respectively, and calculating a first heat disturbance diffusion index of the heat source direct influence area and a second heat disturbance diffusion index of the heat source indirect influence area based on the internal space features, the temperature variation features, the heat source parameters and the environmental influence factors respectively; determining a first regional temperature compensation coefficient based on the first heat disturbance diffusion index, determining a second regional temperature compensation coefficient based on the second heat disturbance diffusion index, and generating an air conditioning control scheme according to the first regional temperature compensation coefficient and the second regional temperature compensation coefficient.

[0007] Optionally, the vertical path comprises 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 features, the heat source parameters, the first temperature data and the third temperature data, specifically comprising: determining a heat rising path of the central atrium heat source area based on the first heat source parameters, hollow structure information in the internal space features and floor height relationship; determining a continuity section of heat propagation in the heat rising path according to a first temperature variation trend corresponding to different heights in the third temperature data, to obtain the first vertical path; determining a heat sinking path of the second refrigeration area based on the second heat source parameters, top lighting structure in the internal space features and floor sealing features; analyzing a second temperature variation trend of the first temperature data, and obtaining the second vertical path according to the second temperature variation trend and the heat sinking path; determining a horizontal diffusion direction based on the second temperature variation trend, the first vertical path and the second vertical path, to obtain the horizontal path; and 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, and a horizontal path is obtained, specifically including: determining the temperature change starting time and the temperature change amplitude of a plurality of 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 the plurality of target first refrigeration zones, and constructing a temperature gradient field between the plurality of target first refrigeration zones based on the distribution trend and the heat diffusion direction; determining the actual heat propagation path based on the direction and intensity of the temperature gradient field and the obstacle distribution in the internal space characteristics, and obtaining the horizontal path.

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

[0010] Optionally, the first heat disturbance diffusion index of the direct influence area of the heat source and the second heat disturbance diffusion index of the indirect influence area of the heat source are calculated based on the internal space features, the temperature change features, the heat source parameters and the environmental influence factors, specifically including: based on the obstacle distribution information in the internal space features and the temperature conduction rate in the temperature change features, a heat resistance coefficient of the direct influence area of the heat source and the indirect influence area of the heat source is constructed, wherein the heat resistance coefficient is used to represent the attenuation effect of the obstacle on the heat propagation; based on the heat source intensity, the heat source duration and the air flow velocity in the environmental influence factors, a heat diffusion rate of the direct influence area of the heat source and the indirect influence area of the heat source is calculated, the heat diffusion rate is used to represent the diffusion degree of the heat per unit time; the ratio of the heat resistance coefficient and the heat diffusion rate is calculated to obtain a heat propagation attenuation coefficient; based on the heat propagation attenuation coefficient and the propagation delay time of the direct influence area of the heat source, a first heat diffusion feature curve is obtained; based on the heat propagation attenuation coefficient and the temperature fluctuation period of the indirect influence area of the heat source, a second heat diffusion feature curve is obtained; the first heat diffusion feature curve and the second heat diffusion feature curve are integrated respectively to obtain the first heat disturbance diffusion index and the second heat disturbance diffusion index, wherein the heat disturbance diffusion index represents the cumulative influence degree of the heat in the space, and the heat disturbance diffusion index includes the first heat disturbance diffusion index and the second heat disturbance diffusion index.

[0011] Optionally, the first area temperature compensation coefficient is determined based on the first heat disturbance diffusion index, specifically including: the change rate of the first heat disturbance diffusion index is calculated, when the change rate is greater than a preset rate threshold, the cumulative change amount of the first heat disturbance diffusion index is determined, and the temperature adjustment reference value is determined based on the cumulative change amount; the ratio of the temperature adjustment reference value and the propagation delay time of the direct influence area of the heat source is calculated to obtain a temperature response coefficient; the temperature response coefficient and the temperature adjustment reference value are weighted to obtain the first area temperature compensation coefficient.

[0012] Optionally, the air conditioner control scheme is generated according to the first area temperature compensation coefficient and the second area temperature compensation coefficient, specifically including: the first temperature adjustment value of the direct influence area of the heat source is determined based on the first area temperature compensation coefficient, the second temperature adjustment value of the indirect influence area of the heat source is determined based on the second area temperature compensation coefficient, a temperature adjustment strategy is obtained, the temperature adjustment strategy includes the adjustment direction and the adjustment amplitude of the supply air temperature; the temperature adjustment time sequence is determined according to the propagation delay time of the direct influence area of the heat source and the temperature fluctuation period of the indirect influence area of the heat source; the air conditioner control scheme is obtained based on the temperature adjustment strategy and the temperature adjustment time sequence.

[0013] In the second aspect of the present application, a central air conditioner control system of a large complex is provided, including:

[0014] The first obtaining module is used to obtain a central court heat source area, a first refrigeration area and a second refrigeration area of the large complex, the central court heat source area is a central court area with a hollow structure in the large complex, the first refrigeration area includes a refrigeration area of each floor between a first floor and a second floor, the first floor is a floor where the central court heat source area is located, the second floor is the highest floor of the large complex, and the second refrigeration area is a refrigeration area of the highest floor; the second obtaining module is used to obtain internal space features of the large complex, first heat source parameters of the central court heat source area and second heat source parameters of the second refrigeration area, the heat source parameters include heat source positions, heat source intensities and heat source durations, and the heat source parameters include the first heat source parameters and the second heat source parameters; the third obtaining module is used to obtain temperature data of the large complex, the temperature data include first temperature data of the first refrigeration area, second temperature data of the second refrigeration area and third temperature data of the central court heat source area; the first determining module is used to determine a heat propagation path of the large complex based on the internal space features, the heat source parameters, the first temperature data and the third temperature data, the heat propagation path includes a vertical path and a horizontal path; the second determining module is used to determine a direct influence area and an indirect influence area of a heat source in the first refrigeration area based on the heat propagation path, the first temperature data and the second temperature data; the calculating module is used to respectively obtain temperature variation features, heat source parameters and environmental influence factors of the direct influence area and the indirect influence area of the heat source, and respectively calculate a first heat disturbance diffusion index of the direct influence area of the heat source and a second heat disturbance diffusion index of the indirect influence area of the heat source based on the internal space features, the temperature variation features, the heat source parameters and the environmental influence factors; and the generating module is used to determine a first area temperature compensation coefficient based on the first heat disturbance diffusion index, determine a second area temperature compensation coefficient based on the second heat disturbance diffusion index, and generate an air conditioner control scheme according to the first area temperature compensation coefficient and the second area temperature compensation coefficient.

[0015] In a third aspect of the present application, an electronic device is provided, comprising 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 used to communicate with other devices, and the processor is used to execute the instructions stored in the memory to make the electronic device execute the method of any one of the above.

[0016] In a fourth aspect of the present application, a computer readable storage medium is provided, and the computer readable storage medium stores instructions, when the instructions are executed, the method of any one of the above is executed.

[0017] In summary, the one or more technical solutions provided by the present application have at least the following technical effects or advantages:

[0018] 1、Based on the heat source area formed by the atrium hollow structure unique to large complexes, and the temperature distribution characteristics of different floors under the influence of heat sources, the dynamic changes of the heat propagation path between the atrium heat source area, the first refrigeration area and the second refrigeration area are comprehensively considered, especially the vertical and horizontal heat propagation paths, the direct and indirect influence areas of the heat source in the first refrigeration area are identified, and combined with the temperature variation characteristics, heat source parameters and environmental influence factors of each influence area, the heat disturbance diffusion index reflecting the heat disturbance characteristics is further calculated, so as to realize the accurate setting of the temperature compensation coefficient of different areas, and finally generate a more targeted and responsive air conditioning control scheme. It can effectively improve the adaptability and fine control level of the air conditioning system to heat disturbance, reduce uneven cooling and energy waste, and significantly improve the operation efficiency of the air conditioning system in large complexes.

[0019] 2、Based on the relationship between the first heat source parameter and the hollow structure and the floor height, the path of heat flowing upwards is determined; further combined with the temperature variation trend at different heights, the section of continuous heat rising can be identified, so as to build the first vertical path. Similarly, the top structure of the second refrigeration area and the closed nature determine that it has the characteristics of heat retention and sinking, combined with the second heat source parameter and the temperature variation trend of the first refrigeration area, the path of heat conduction downward can be identified, forming the second vertical path. Since heat disturbance not only vertically spreads, but also horizontally propagates between floors, therefore, between the above two vertical paths, by analyzing the temperature variation starting time and variation rate of multiple target first refrigeration areas, the diffusion direction of heat in the horizontal plane can be reflected; further construct the temperature gradient field, and combine with the obstacle distribution information, the actual horizontal propagation path of heat is derived. Thus, the splicing of the first vertical path, the second vertical path and the horizontal path not only completely constructs the three-dimensional propagation path of heat disturbance, but also provides the propagation mechanism basis for subsequent division of heat source influence area and development of temperature compensation scheme, so as to realize the accurate response control of central air conditioning to heat disturbance. BRIEF DESCRIPTION OF DRAWINGS

[0020] Figure 1 is a system architecture schematic diagram of an embodiment of a central air conditioning control method or a central air conditioning control system of a large complex in the embodiment of the application;

[0021] Figure 2 is a flowchart of a central air conditioning control method of a large complex in the embodiment of the application;

[0022] Figure 3 is a structural schematic diagram of a central air conditioning control system of a large complex in the embodiment of the application;

[0023] Figure 4 is a structural schematic diagram of an electronic device in the embodiment of the application.

[0024] Explanation of reference signs: 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

[0025] In order for those skilled in the art to better understand the technical solutions in the specification, the technical solutions in the specification will be clearly and completely described below in combination with the drawings in the embodiments of the specification. Obviously, the described embodiments are only some of the embodiments of the present application, not all.

[0026] Figure 1 An exemplary system architecture 100 of an embodiment of the central air conditioning control method of a large complex or the central air conditioning control system of a large complex to which the present application can be applied is shown. As shown in the figure, Figure 1 The system architecture 100 can include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is a medium for providing a communication link between the terminal devices 101, 102, 103 and the server 105. The network 104 can include various connection types, such as wired, wireless communication links, or optical fiber cables, etc.

[0027] The server 105 is deployed with a program module or an algorithm model for implementing the central air conditioning control method of a large complex, and can collect, analyze and process the heat source parameters, internal space features and temperature data of the atrium heat source area, the first refrigeration area and the second refrigeration area in the large complex, determine the heat propagation path, divide the heat source influence area, and calculate the heat disturbance diffusion index and the temperature compensation coefficient, so as to generate an air conditioning control scheme. The server 105 can be a single server, or a distributed server cluster, supporting high-concurrency processing of data and real-time generation of intelligent control strategies. The terminal devices 101, 102, 103 can be environmental monitoring terminals, building equipment control terminals or mobile operation and maintenance terminals deployed inside the large complex, etc. These terminal devices can collect environmental data such as temperature and heat source location, or receive air conditioning control instructions generated by the server 105 and distribute them to specific air conditioning subsystems for execution, and can also be used by operation and maintenance personnel for data viewing and control strategy adjustment. The terminal devices can include but are not limited to intelligent sensor controllers, mobile terminals, embedded control panels, etc., and have 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 size, equipment layout density and control accuracy requirements.

[0028] Figure 2Fig. 1 is a flowchart of a central air conditioning control method of a large complex according to an embodiment of the present application.

[0029] Referring to Figure 2 The central air conditioning control method of a large complex according to an embodiment of the present application is applied to a server, and the method comprises the following steps.

[0030] S201, a central air conditioning control method of a large complex according to an embodiment of the present application is applied to a server, and the method comprises the following steps.

[0031] The atrium heat source area refers to an atrium area with a hollow structure in the large complex, which is usually located at the lower or middle floors of the building. Its structural characteristics enhance the vertical air flow and become an important source of upward propagation of indoor heat disturbance. The atrium area is often accompanied by strong heat source phenomenon due to the concentration of people flow, frequent activities and heat accumulation effect of the upper hollow space.

[0032] The first cooling area is defined as the cooling area with air conditioning system running capability in 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 heat disturbance may pass through and affect 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 among all floors covered by the atrium area. Since heat disturbance presents a clear vertical propagation path in the form of air flow carrying heat inside the building, the first cooling area as the intermediate layer of the transition of the upward and downward heat flow may be affected by the upward heat disturbance of the atrium heat source area and the downward heat disturbance feedback from the second cooling area.

[0033] The second refrigeration zone refers to the area in the highest floor of the large complex equipped with air conditioning refrigeration system. This area is at the top of the building structure and is directly irradiated by solar radiation. Especially when the roof is made of glass curtain wall, metal roof or high transmission material, the heat load caused by solar radiation is significantly enhanced, forming a typical top heat source area. In addition, the second refrigeration zone itself may also have internal heat sources, such as top equipment room, lighting system or heat release caused by personnel activities, therefore, the second refrigeration zone is not only one of the potential sources of heat disturbance, but also one of the receiving endpoints of heat disturbance. Since the heat flow has the characteristics of upward and downward propagation in the building interior, the heat disturbance generated by the second refrigeration zone may propagate downward through convection or thermal pressure driving, affecting the thermal balance state of the first refrigeration zone and the atrium heat source area. The atrium heat source area, the first refrigeration zone and the second refrigeration zone can combine the building structure drawing, building information model (BIM) or the environmental sensor deployed on site to extract the three-dimensional coordinate range of the hollow space, and combine the heat source distribution to model to determine the first refrigeration zone and the second refrigeration zone and the atrium heat source area.

[0034] In step S202, first, obtaining 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 refrigeration zone, the heat source parameters including heat source position, heat source intensity and heat source duration, the heat source parameters including the first heat source parameters and the second heat source parameters;

[0035] In step S202, first, obtaining the internal space characteristics of the large complex is the premise of establishing the heat disturbance propagation path model. The internal space characteristics refer to the information such as the spatial division, floor height, hollow structure, stairwell, elevator shaft, ventilation duct, curtain wall material, thermal resistance parameters of inner and outer walls, and distribution position of air conditioning supply and return air outlets in the building interior at the structural level. The space characteristics directly determine the heat conduction path, transmission rate and accumulation area in the building interior. For example, the hollow structure will enhance the vertical air flow channel and form a heat accumulation effect, while the ventilation shaft or atrium may become an efficient path for heat "short circuit" transmission. The above space characteristics can be extracted through building information model data, or modeled by combining structure drawings and on-site sensor network. In the modeling process, the space is divided into three-dimensional grid to facilitate the subsequent mapping of heat source parameters and heat propagation path to precise spatial location.

[0036] Secondly, the first heat source parameter of the atrium heat source area is obtained, so as to depict the contribution of the atrium heat source area to the overall thermal disturbance. The first heat source parameter includes three variables of heat source position, heat source intensity and heat source duration. The heat source position is used to determine the spatial coordinates of the heat source in the atrium heat source area, the heat source intensity represents the heat released per unit time, and the heat source duration represents the continuous time period of heat release. Obtaining these data usually depends on the identification of the heat source type of the atrium area, such as whether there is a crowd gathering, a shop equipment heat dissipation, a lighting system operation or an external solar radiation irradiation. The heat source activity model associated with time can be established by laying infrared thermal imaging, temperature and humidity sensors and personnel flow monitoring equipment, combined with time series analysis method.

[0037] At the same time, the second heat source parameter of the second refrigeration area is obtained, so as to provide support for modeling the downward propagation of the thermal disturbance of the top heat source. The second refrigeration area as the top area of the building, in addition to bearing the external heat source formed by solar radiation, there may also be regional strong heat sources such as server room, lighting equipment, top restaurant kitchen and the like inside. The second heat source parameter has the same structure as the first heat source parameter, including heat source position, heat source intensity and heat source duration. Since the intensity of solar radiation has obvious distribution characteristics of sunshine angle and time period, when extracting the second heat source parameter, the building orientation, the thermal conductivity of the roof material, the solar radiation simulation calculation and the on-site illumination intensity sensor data need to be combined to realize the dynamic modeling of the solar heat source. In addition, the operation records and energy consumption data of the equipment also need to be combined to identify and quantify the heat release capacity and time characteristics of the internal heat source.

[0038] S203, obtaining temperature data of the large complex, the temperature data including first temperature data of the first refrigeration area, second temperature data of the second refrigeration area and third temperature data of the atrium heat source area;

[0039] The first temperature data refers to the time series temperature information obtained by deploying environmental temperature collection sensors in the first refrigeration area. The first refrigeration area is between the atrium heat source area and the second refrigeration area, and is the intersection and transition area of the upward and downward thermal disturbance, and the temperature change has high gradient characteristics and conduction response characteristics. In order to obtain accurate first temperature data, high-precision digital temperature sensors need to be laid in the representative positions of the area, and the points are laid in layers and zones to cover different floors, different function rooms and air supply and return air channels. The sensor collection frequency can be set to 1 time per minute or higher to meet the real-time capture of the dynamic change trend of the thermal disturbance. At the same time, the wireless transmission module can be used to upload the collected data to the central control system for unified storage and processing.

[0040] The second temperature data refers to temperature information collected in the second refrigeration area. As the highest floor of the building, the second refrigeration area is affected by both solar radiation and internal heat sources on the top, and is one of the upstream sources of heat disturbance. The temperature change in this area directly reflects the release intensity of the top heat source and the response ability of the local air conditioning system. To obtain representative second temperature data, multiple temperature collection points need to be arranged under different lighting conditions, taking into account factors such as roof lighting, orientation, and thermal conductivity of building materials. The historical energy consumption data in the Building Automation System (BAS) is associated with the modeling to improve the accuracy and timeliness of the temperature data.

[0041] The third temperature data is the temperature information collected in the atrium heat source area. The atrium heat source area is a typical heat disturbance source area due to its structural void, strong air convection, and high personnel density. The temperature change in the atrium area directly determines the initial intensity and direction characteristics of heat propagation upward. To obtain high-quality third temperature data, it is recommended to use an infrared thermal imager combined with environmental temperature and humidity sensors for multi-dimensional temperature collection, and to combine a people flow monitoring system and an illumination sensor to further analyze the impact of personnel 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 air flow, multiple temperature collection points are set up at different height layers to more accurately describe the vertical gradient distribution of heat disturbance.

[0042] S204, determining a heat propagation path of the large complex based on the internal space features, the heat source parameters, the first temperature data, and the third temperature data, the heat propagation path including a vertical path and a horizontal path;

[0043] In this embodiment, to achieve precise control of the air conditioning system of the large complex in response to multiple heat source disturbances, it is necessary to construct the heat disturbance propagation path in the building interior based on the internal space features, heat source parameters, first temperature data, and third temperature data. This propagation path is used to depict the heat conduction trajectory, directionality, and diffusion trend caused by different heat sources in space, and is the basis for subsequent heat disturbance diffusion analysis and air conditioning compensation strategy development. Since heat disturbance in a closed or semi-closed building interior has both obvious vertical propagation characteristics and a tendency to diffuse along the floor plane, the heat propagation path includes a vertical path and a horizontal path, and forms a complete heat disturbance propagation network model through path splicing. Specifically, it can include steps S2041-S2046:

[0044] S2041, determining a heat rising path of the atrium heat source area based on the first heat source parameters, the void structure information in the internal space features, and the relationship between the floor height;

[0045] To identify the initial path of heat upward propagation in the atrium heat source area, the first heat source parameter, the atrium structure information and the floor height relationship need to be analyzed. Due to the existence of the atrium structure in the atrium heat source area, the hot air expands under the action of the heat source, the density decreases, and the buoyancy drives upward movement. The vertical connectivity and space volume of the atrium structure directly affect the vertical upward path of heat.

[0046] In specific implementation, first, the spatial geometric information of the atrium structure is extracted from the building information model, including the height of the atrium, the opening area, the channel connectivity, the floor position and other data. Then, the heat source position and heat source intensity in the first heat source parameter are mapped to the three-dimensional model of the atrium heat source area, and a heat flow simulation method based on buoyancy-convection coupling is used, such as Buoyancy-Driven Flow modeling based on Computational Fluid Dynamics (CFD), to simulate the upward trend of the hot air flow.

[0047] Finally, through the continuity of the heat flow vector, the velocity direction and the temperature gradient information in the simulation results, the heat upward path from the heat source to the upward extension along the atrium structure is identified, and the coordinate sequence of the path in the three-dimensional space is extracted as the heat upward path of the atrium heat source area.

[0048] For example, to uniformly describe the spatial position of each key point in the heat disturbance path, a three-dimensional Cartesian coordinate system is constructed inside the large complex, where the origin is set at the intersection of the ground at the southwest corner of the first floor of the building (i.e. X=0m, Y=0m, Z=0m), the X axis extends horizontally along the main entrance of the building, the Y axis extends along the direction perpendicular to the entrance, and the Z axis is the height direction. The atrium heat source is located in the center of the first floor, with coordinates X=15m, Y=12m, Z=0m, and the heat source continuously releases a heat power of 3.2kW. The CFD simulation results show that the heat disturbance starts from this point, and successively passes through the atrium space at Z=3m, Z=6m, Z=9m, Z=12m, Z=15m, the velocity vector direction continuously upward, and the temperature isotherm along the Z axis layer by layer, forming a stable heat upward path. The spatial trajectory of the path is represented by a coordinate point sequence: (15, 12, 0)→(15, 12, 3)→(15, 12, 6)→(15, 12, 9)→(15, 12, 12)→(15, 12, 15).

[0049] S2042、According to the first temperature variation trend corresponding to different heights in the third temperature data, the continuity section of heat propagation in the heat upward path is determined, and a first vertical path is obtained;

[0050] After determining the heat rising path of the atrium heat source area, in order to further verify whether the heat disturbance in the path is truly transmitted to the upper space and has continuous temperature response characteristics, sequence analysis needs to be performed on the third temperature data. The third temperature data refers to the actual temperature change record of different height points in the heat source area, which can reflect the dynamic process of heat disturbance propagation with height. In specific implementation, temperature sensors are arranged at different heights of the atrium hollow structure to collect temperature data within a certain time before and after the heat source acts. The temperature data of each height point is processed to extract the temperature rising start time, temperature rising amplitude and temperature change rate, and the response time difference and temperature difference between adjacent height points are compared and analyzed. When multiple height points appear to rise in turn after the heat source is started, the temperature rising rate is consistent or similar, and the time delay is within an acceptable range (such as not more than 2-3 minutes per floor), it can be determined that the heat disturbance has effective continuity in the path. Connect these nodes that meet the conditions in height order to form the first vertical path. For example, temperature sensors are arranged at Z=0m, Z=3m, Z=6m, Z=9m and Z=12m. After the heat source is started, 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 rising amplitude is more than 0.5℃, and the time delay is about 2-3 minutes, which meets the continuity condition, forming the first vertical path: Z=0m→Z=3m→Z=6m→Z=9m→Z=12m.

[0051] S2043, based on the second heat source parameter, the top lighting structure in the internal space feature, and the floor closedness feature, determine a heat sinking path of the second refrigeration area;

[0052] To identify whether there is a path for the heat released by the top heat source of the second refrigeration zone to diffuse downward along the structure, the heat source parameters and the structure configuration of the top floor of the building are comprehensively considered, a heat accumulation and heat convection exchange model is constructed, and the heat sinking path is identified accordingly. In specific implementation, first, the heat source parameters of the second heat source are read from the system, including the heat source position coordinates, heat release intensity, and action period, and the structure configuration information of the top region is extracted in combination with the building information model, including whether the suspended ceiling interlayer, elevator shaft, air shaft, pipe well, etc. are connected with the lower layer, the opening size, the gap position, etc. Then, the top heat accumulation and convection exchange model is constructed: the heat source is set as the heat flux boundary condition of the top space, the initial temperature, density, and other thermal physical parameters of the air in the top region are set, the local high temperature zone formed after the heat accumulation in the top space is simulated, and the possible channel of the high temperature zone diffusing downward driven by the thermal pressure difference and buoyancy. The model can be implemented based on CFD simulation (such as Ansys Fluent), heat flow network model, or simplified convection heat transfer model. The heat flow vector field in the simulation result is analyzed, the path segment with heat flow propagating in the negative direction of the Z axis and heat flux density greater than a certain threshold (such as 10 W / m²) is screened out, and finally the continuous node coordinates of the path are extracted to form the heat sinking path.

[0053] Taking the 10th floor rooftop machine room area of the building as an example, in a unified coordinate system, the top heat source is located at (X=28m, Y=18m, Z=30m), releasing heat for the outdoor unit group operating continuously, with a power of 4.5kW and an action time of 13:00-16:00. The roof structure is provided with a glass daylighting roof with a heat transmittance of 0.75, and below it is a suspended ceiling interlayer (thickness 1.2m) connected with the 9th floor elevator shaft through a gap. In constructing the simulation model, the heat source is equivalent to a top boundary heat flux input, the initial air temperature is set to 26℃, and the density is 1.2kg / m³. The CFD simulation shows that the top heat accumulation zone temperature reaches 33℃, and the heat flow direction continuously sinks from Z=30m to Z=27m, Z=24m, and Z=21m, with a heat flux density of 16.4W / m² in the channel, confirming that the heat sinking path is (28, 18, 30)→(28, 18, 27)→(28, 18, 24)→(28, 18, 21).

[0054] S2044, analyze the second temperature change trend of the first temperature data, and obtain a second vertical path according to the second temperature change trend and the heat sinking path;

[0055] In this embodiment, to verify whether the heat disturbance released by the top heat source of the second refrigeration zone is truly transmitted to the lower layer area and forms a perceptible temperature influence path in the actual environment, the temperature response trend of each floor along the heat sinking path is dynamically analyzed based on the first temperature data, so as to construct the second vertical path. Specifically, first, the floors corresponding to the heat sinking path in the building (such as the 9th to 5th floors) are selected, and the temperature sensor data is extracted from the positions (such as elevator shafts, equipment rooms, suspended ceiling areas, etc.) corresponding to the nodes of the sinking path in each floor. Second, the temperature change of each monitoring point within a certain time period (such as 180 minutes) before and after the start of the second heat source is analyzed, and the temperature rise start time, temperature rise rate and maximum temperature rise amplitude of each point are extracted. If multiple monitoring points show a trend of delayed temperature rise from top to bottom layer by layer, and the time difference shows linear or quasi-linear growth, and the temperature rise amplitude exceeds the noise threshold (such as more than 0.5℃), it is considered that the heat disturbance has been transmitted to these floors through the heat sinking path. Connecting these points with effective temperature response in order of floors can construct the second vertical path, and spatial matching verification is performed with the simulated path in S2043.

[0056] In the unified coordinate system, the heat sinking 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. The temperature sensor data of the elevator hall area of 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) is extracted respectively. The analysis results show that after the start of the heat source, the 9th floor starts to rise at 13:10, with a temperature rise of +0.7℃; the 8th floor rises at 13:13, with a temperature rise of +0.6℃; the 7th floor rises at 13:16, with a temperature rise of +0.6℃; the 6th floor rises at 13:19, with a temperature rise of +0.5℃, and each layer has a temperature rise delay of about 3 minutes, and the temperature rise rate is more than 0.2℃ / min. The spatial coordinates of each point are completely consistent with the nodes of the path in S2043, so the second vertical path is: (28, 18, 27)→(28, 18, 24)→(28, 18, 21)→(28, 18, 18), which verifies that the heat disturbance indeed affects the lower floors along this path in the actual environment, and has perceptibility and continuity.

[0057] S2045, determining the horizontal diffusion direction based on the second temperature change trend, the first vertical path and the second vertical path, to obtain a horizontal path;

[0058] After the heat disturbance propagates to a certain floor, if there is transverse structural connectivity or air conditioning wind field driving, it may diffuse in the plane direction along the same floor. Therefore, the heat diffusion direction is analyzed in the floors between the upper extension boundary of the first vertical path and the lower extension boundary of the second vertical path.

[0059] 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 by: determining the temperature change starting time and the temperature change amplitude of a plurality of 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 distribution trend of the temperature change rate of the plurality of target first refrigeration zones in space, and constructing a temperature gradient field between the plurality of target first refrigeration zones based on the distribution trend and the heat diffusion direction; and 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.

[0060] In the specific implementation process, first, the temperature influence of the heat disturbance in the plurality of floor ranges between the upper extension boundary of the first vertical path and the lower extension boundary of the second vertical path is determined, so that a representative target first refrigeration zone is selected and its temperature change characteristics are extracted. The upper extension boundary of the first vertical path refers to the spatial end point of the heat disturbance rising to the highest continuous response position through the atrium area, and the lower extension boundary of the second vertical path refers to the lowest spatial point of the heat disturbance caused by the top heat source finally forming a stable response in the lower floor. Between the two boundaries, a plurality of first refrigeration zones at different floors or height sections are selected as target first refrigeration zones along the Z-axis direction, and the temperature sensor data in each target first refrigeration zone is extracted, and the temperature change starting time and the temperature change amplitude of each target first refrigeration zone during the heat source action are analyzed. By comparing these data, it can be preliminarily judged whether the heat disturbance exists in the space in the upward or downward diffusion trend, and the basis input is provided for subsequent diffusion rate calculation and gradient field construction. For example, in a unified building coordinate system, the upper extension boundary of the first vertical path is Z=15m, corresponding to the top space of the atrium on the 6th floor; the lower extension boundary of the second vertical path is Z=18m, corresponding to the lowest response floor of the heat disturbance caused by the top heat source on the 6th floor. Between Z=15m and Z=18m, Z=16m and Z=17m are selected as target first refrigeration zones, and the temperature sensor data in each region is extracted, and it is found that the sensor point at Z=16m rises at 13:12, with an amplitude of 0.6°C, and the sensor point at Z=17m rises at 13:15, with an amplitude of 0.5°C.

[0061] After determining the temperature change starting time and the temperature change amplitude, in order to judge how the heat disturbance is diffused between the target first refrigeration zones, the temperature change rate of each target first refrigeration zone is calculated based on the second temperature change trend, and the heat diffusion direction is derived accordingly. The second temperature change trend refers to the curve form of the temperature change in the target first refrigeration zone with time during the continuous action of the heat source, which reflects the time effectiveness and intensity difference of the heat disturbance propagation at different spatial points. In specific implementation, the temperature change data of multiple temperature monitoring points in each target first refrigeration zone within the heat source action interval is extracted, and a fixed time window (for example, 5 minutes) is selected after the temperature change starting point to calculate the temperature growth slope, that is, the temperature rise value per unit time, as the temperature change rate. Then, the temperature change rates of different target first refrigeration zones are compared, sorted from large to small according to the rate, and a spatial heat disturbance step structure is formed, and the heat diffusion direction is judged according to the spatial geometric relationship, that is, whether the heat presents the trend of expanding from the area with high temperature change rate to the area with low temperature change rate.

[0062] In order to more accurately depict the spatial diffusion behavior of the heat disturbance between multiple target first refrigeration zones, the temperature change rate is distributed in the three-dimensional space to model the temperature gradient field, so as to quantify the heat propagation direction and intensity. The temperature gradient field refers to the vector field formed by the temperature change rate in the three-dimensional space, wherein the gradient vector at each position represents the propagation tendency of heat from the high temperature rate area to the low temperature rate area. In specific implementation, first, the temperature change rate data in all target first refrigeration zones is subjected to spatial interpolation processing, and a multi-point weighted average or three-dimensional spline interpolation method is used to generate a continuous temperature rate field; then the gradient vector at each position in the field is calculated, that is, the spatial derivative operation is performed on the rate field to obtain the gradient direction and gradient size of each point. By analyzing the spatial arrangement of these gradient vectors, it can be judged where the heat disturbance is diffused in the target area, and whether the diffusion intensity is sufficient to form a continuous path, which provides a heat driving basis for the next path recognition.

[0063] Since there are usually walls, partitions, glass curtain walls, staircases and other physical structures in the interior space of a building, these structures can block, guide or deflect the propagation path of thermal disturbance in the space. Therefore, when constructing the actual heat propagation path, the temperature gradient field and the obstacle distribution need to be coupled and analyzed. In specific implementation, first, all fixed structures (such as walls, columns, partitions, etc.) in the building space are extracted from the BIM model and converted into an obstacle grid map or blocked area. Then, the temperature gradient field constructed in step three is mapped into the structured space, and a path search algorithm (such as A*, Dijkstra) is used to search for the shortest thermal resistance path from the high temperature rate area to the low temperature rate area in the gradient direction, skip the impassable area, select the path segment with the maximum thermal gradient direction and unobstructed path, and finally output the path point coordinate sequence as the actual heat propagation path in the target area, i.e., the horizontal path.

[0064] S2046, splicing the first vertical path, the second vertical path and the horizontal path to obtain the heat propagation path.

[0065] After the identification of the first vertical path, the second vertical path and the horizontal path is completed, in order to form the complete path of the heat disturbance from the heat source to the affected area, the first vertical path, the second vertical path and the horizontal path need to be spliced in time and space. First, the spatial coordinates of each path segment are unified into a three-dimensional building coordinate system, and it is checked whether the connection points between the paths coincide or are adjacent. If there is a gap, a transition segment (such as a corridor or traffic core passage) is inserted. Then, the paths are sorted according to the heat source start time and the heat disturbance propagation direction to ensure that the time logic and the space logic of the paths are consistent. Finally, the spliced path is stored in the form of node sequence, each node contains coordinates, time stamp and temperature change value, forming a complete heat disturbance propagation path.

[0066] S205, determining the direct influence area and the indirect influence area of the heat source in the first refrigeration area based on the heat propagation path, the first temperature data and the second temperature data;

[0067] In step S205, 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 area are accurately divided. Step S205 has a basic role for the calculation of the subsequent temperature compensation coefficient and the generation of the air conditioning control scheme. Optionally, based on the heat propagation path, the first temperature data and the second temperature data, determining the heat source direct influence area and the heat source indirect influence area in the first refrigeration area comprises: determining the 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, and marking the first refrigeration area with the propagation delay time less than the preset time threshold as the heat source direct influence area; the first refrigeration area with the propagation delay time greater than or equal to the preset time threshold is regarded as a pending area, and the temperature fluctuation period and the fluctuation amplitude of the pending area within the heat source duration are obtained; when the temperature fluctuation period is within the preset period range and the temperature fluctuation amplitude is within the preset amplitude range, the pending area is determined as the heat source indirect influence area.

[0068] Based on the obtained first temperature data and second temperature data, the temperature change time series data is constructed in combination with the heat propagation path. The temperature change time series data refers to the temperature change curve of each position in the first refrigeration area over time. The temperature change time series data can be obtained by arranging and analyzing the temperature information collected by the sensor in time axis, and its role is to reveal the transmission speed and direction of heat in space. By analyzing the temperature change time series data, the propagation delay time of the temperature change can be further extracted, that is, the time interval from the appearance of temperature rise in the heat source area to the appearance of corresponding temperature rise in a sub-area of the first refrigeration area. This propagation delay time is an important reference index for judging the influence intensity and propagation path of the heat source.

[0069] The sub-area of the first refrigeration area with the propagation delay time less than the preset time threshold is marked as the heat source direct influence area, and the principle is that heat is rapidly conducted from the heat source area to the heat source direct influence area, which indicates that the heat coupling relationship between the heat source direct influence area and the heat source is strong, and there may be a direct air convection path or a structural heat bridge. The preset time threshold can be determined by experiment or historical operation data analysis, which represents the shortest time required for heat to propagate in a typical building structure with a certain energy intensity. The direct influence area divided in this way is often a key area that needs to be prioritized for temperature compensation and cold quantity delivery.

[0070] For the first refrigeration zone area with a propagation delay time greater than or equal to a preset time threshold, it is not immediately classified as a heat source direct influence area, but is further analyzed as a pending area. Here, two parameters, temperature fluctuation period and fluctuation amplitude, are introduced to determine whether these pending areas belong to the heat source indirect influence area. The temperature fluctuation period refers to the frequency of the temperature fluctuation of the area over time within the heat source continuous action time, mainly reflecting whether the indirect effect of the heat source on the area has periodicity; the temperature fluctuation amplitude represents the amplitude range of the temperature fluctuation, which is used to judge the strength of the heat disturbance. The application of temperature fluctuation period and temperature fluctuation amplitude is based on the physical law of building thermal environment, that is, indirect heat propagation often shows slow temperature rise and certain amplitude periodic fluctuation, which is the result of heat conduction through structure, air layer and other intermediate paths.

[0071] When the temperature fluctuation period detected in the pending area is within the preset period range, and the temperature fluctuation amplitude is also within the preset amplitude range, it can be determined that these areas are affected by the heat source although the heat propagation is slow, and therefore they are determined as the heat source indirect influence area. This judgment method takes into account both timeliness and heat disturbance strength, which can effectively avoid misjudgment of invalid areas, and provides a basis for energy-saving operation of air conditioning system in non-high heat load area. For example, in a large commercial complex with a sunken courtyard, hot air may quickly rise to the upper area to form a direct influence area, and although part of the floors on both sides of the courtyard are not directly above the hot air stream, due to the effects of heat radiation and air circulation, there will be obvious temperature fluctuations after a few minutes, and such areas are typical indirect influence areas.

[0072] S206, respectively acquiring temperature variation characteristics, heat source parameters and environmental influence factors of the heat source direct influence area and the heat source indirect influence area, and calculating a first heat disturbance diffusion index of the heat source direct influence area and a second heat disturbance diffusion index of the heat source indirect influence area based on the internal space characteristics, the temperature variation characteristics, the heat source parameters and the environmental influence factors;

[0073] In step S206, the diffusion characteristics of heat disturbance of the heat source direct influence area and the heat source indirect influence area are analyzed in depth, so as to quantify the effect of heat propagation and accumulation in space. By calculating the first heat disturbance diffusion index and the second heat disturbance diffusion index, a theoretical basis and quantitative index are provided for subsequent generation of accurate temperature compensation coefficients.

[0074] Optionally, step S206 can include the following steps: based on the obstacle distribution information in the internal space feature and the temperature conduction rate in the temperature variation feature, constructing a heat blocking coefficient of the direct influence area of the heat source and the indirect influence area of the heat source, wherein the heat blocking coefficient is used to represent the attenuation effect of the obstacle on the heat propagation; based on the heat source intensity, the heat source duration and the air flow speed in the environmental influence factor, calculating a heat diffusion rate of the direct influence area of the heat source and the indirect influence area of the heat source, the heat diffusion rate is used to represent the diffusion degree of heat per unit time; calculating the ratio of the heat blocking coefficient and the heat diffusion rate to obtain a heat propagation attenuation coefficient; based on the heat propagation attenuation coefficient and the propagation delay time of the direct influence area of the heat source to obtain a first heat diffusion feature curve; based on the heat propagation attenuation coefficient and the temperature fluctuation period of the indirect influence area of the heat source to obtain a second heat diffusion feature curve; respectively integrating the first heat diffusion feature curve and the second heat diffusion feature curve to obtain a first heat disturbance diffusion index and a second heat disturbance diffusion index, wherein the heat disturbance diffusion index represents the cumulative influence degree of heat in space, and the heat disturbance diffusion index includes the first heat disturbance diffusion index and the second heat disturbance diffusion index.

[0075] Specifically, the temperature variation feature mainly includes the temperature conduction rate, the fluctuation period and the fluctuation amplitude, which are used to describe the dynamic process of heat propagation in the region; the heat source parameter includes the heat source intensity and the heat source duration, which reflect the ability and time span of the heat source itself to exert heat disturbance on the environment; and the environmental influence factor covers the air flow speed, humidity, ventilation mode and other information, which is an important external variable affecting the heat propagation path and speed. The acquisition of these data can be realized through the deployment of multi-point temperature and humidity sensors, infrared thermal imaging systems and environmental monitoring equipment in the complex, combined with the space structure modeling data, to realize the all-around characterization of the thermal environment. Based on the obstacle distribution information in the internal space feature and the temperature conduction rate in the temperature variation feature, the heat blocking coefficient of the direct influence area of the heat source and the indirect influence area of the heat source is constructed, and the hindering effect of the obstacle on the heat transfer path is quantified. By extracting the obstacle distribution of each region from the building information model (BIM), including the wall, floor, glass curtain wall and other thermal resistance elements, and combining the material thermal conductivity λ, thickness d and area A, the total thermal resistance R on the heat conduction path can be calculated, and then the heat blocking coefficient R / λA can be obtained by combining the temperature conduction rate on the path (which can be obtained by fitting the temperature rise slope from sensor data) . The heat blocking coefficient is used to represent the propagation attenuation of heat in the path due to the obstacle, and the larger the calculation result is, the higher the degree of heat propagation restriction in the region is. By calculating the heat blocking coefficient of the direct influence area and the indirect influence area under the actual path structure respectively, it can be identified which space is more prone to heat accumulation or diffusion.

[0076] ​​Subsequently, based on the heat source intensity, heat source duration, and airflow velocity in the environmental impact factor, the heat diffusion rate of the direct influence area and the indirect influence area of the heat source is calculated, which is used to evaluate the diffusion ability of the heat source under different environmental conditions. The total heat released by the heat source is represented by , where Q is the heat release per unit time, is the duration, and the airflow velocity is taken into account . A heat diffusion rate model is constructed to calculate the heat diffusion rate D h : , where α is a correction factor used to adjust the influence of the deviation between the heat source direction and the airflow direction on the diffusion effect. The calculation process of D h reflects the degree of heat diffusion per unit time, directly affecting the propagation range of thermal disturbance in space.

[0077] Next, the ratio of the heat resistance coefficient to the heat diffusion rate is calculated to obtain the heat propagation attenuation coefficient. This coefficient reflects the real attenuation degree of heat in the propagation path due to physical obstacles and environmental flow changes γ: . By comparing the relative strength of heat diffusion ability and path resistance, the heat propagation attenuation coefficient γ provides a unified index to evaluate the conduction efficiency of thermal disturbance. The larger the heat propagation attenuation coefficient γ, the easier it is for heat to penetrate obstacles and diffuse quickly, and the smaller the value, the more significant the attenuation of thermal disturbance in space.

[0078] After obtaining the heat propagation attenuation coefficient, based on the heat propagation attenuation coefficient and the propagation delay time of the direct influence area of the heat source, the first heat diffusion characteristic curve is obtained. The first heat diffusion characteristic curve f1(∆t) takes the propagation delay time ∆t as the independent variable and is constructed in the form of an exponential decay model: , where is the empirical decay coefficient, reflecting the rate of thermal disturbance decay over time. The first heat diffusion characteristic curve is used to describe the rapid propagation and energy dissipation process of heat in the direct action area of the heat source, and is suitable for simulating the thermal response characteristics of the area above the atrium heat source or in close proximity.

[0079] At the same time, based on the heat propagation attenuation coefficient and the temperature fluctuation period of the indirect influence area of the heat source, the second heat diffusion characteristic curve f2(T p ) is obtained. Since the thermal disturbance in the indirect influence area often exhibits periodic slow fluctuations, a sinusoidal function model is constructed with the temperature fluctuation period as the independent variable: , where ω is the angular frequency, is the initial phase, used to adjust the relative change position of the curve. This function can effectively fit the periodic accumulation and release behavior of heat under the conditions of obstacle flow or multi-path conduction, such as areas located on the wings of the atrium, stairwells, or near air conditioning return air outlets.

[0080] Finally, the first thermal diffusion characteristic curve and the second thermal diffusion characteristic curve are integrated respectively to obtain the first thermal disturbance diffusion index and the second thermal disturbance diffusion index, and the specific calculation is as follows: the first thermal disturbance diffusion index (direct influence area): ; the second thermal disturbance diffusion index (indirect influence area): . Wherein and are integral time windows, which are usually set as the duration of the heat source or the length of the air conditioning control period. The two thermal disturbance diffusion indexes respectively represent the cumulative intensity of the thermal disturbance borne by the unit area in the direct and indirect influence areas, and provide quantitative basis for subsequent air conditioning system to determine the temperature compensation strategy.

[0081] S207, determine the first area temperature compensation coefficient based on the first thermal disturbance diffusion index, determine the second area temperature compensation coefficient based on the second thermal disturbance diffusion index, and generate an air conditioning control scheme according to the first area temperature compensation coefficient and the second area temperature compensation coefficient.

[0082] In step S207, on the basis of the completed thermal disturbance diffusion analysis, the thermal disturbance diffusion index is further converted into the adjustment amount of temperature control, so as to construct a set of dynamic response air conditioning control scheme. Step S207 takes the first thermal disturbance diffusion index and the second thermal disturbance diffusion index as the key input, respectively determines the first area temperature compensation coefficient (temperature compensation coefficient of the direct influence area of the heat source) and the second area temperature compensation coefficient (temperature compensation coefficient of the indirect influence area of the heat source), and then forms the specific temperature regulation strategy and timing according to the two coefficients, finally generates the air conditioning control scheme matching the actual thermal disturbance response characteristics, realizes the synergistic optimization of energy saving and comfort.

[0083] In specific implementation, first, the first area temperature compensation coefficient is determined based on the first thermal disturbance diffusion index. Optionally, determining the first area temperature compensation coefficient based on the first thermal disturbance diffusion index can include the following steps: calculating the change rate of the first thermal disturbance diffusion index, when the change rate is greater than a preset rate threshold, determining the cumulative change amount of the first thermal disturbance diffusion index, and determining the temperature regulation reference value based on the cumulative change amount; calculating the ratio of the temperature regulation reference value and the propagation delay time of the direct influence area of the heat source to obtain the temperature response coefficient;

[0084] The temperature response coefficient and the temperature regulation reference value are weighted to obtain the first area temperature compensation coefficient.

[0085] To this end, the rate of change of the first thermal disturbance diffusion index needs to be calculated first. The rate of change can be obtained by dividing the difference of the diffusion index in the two control periods by the time interval, representing the dynamic change trend of the thermal disturbance intensity. If the rate of change exceeds the preset rate threshold, it indicates that the heat source activity or the thermal environment condition has changed rapidly, and the air conditioning system needs to respond in time. At this time, the cumulative change amount of the first thermal disturbance diffusion index in a certain time length is further calculated, i.e. the cumulative growth value of the diffusion index in the past several periods, which is used to quantify the accumulation degree of the thermal disturbance. Based on the cumulative change amount, a temperature regulation reference value can be set, representing the temperature correction amplitude that the air conditioning system should make, usually in units of °C, which is used to directly guide the adjustment target of the supply air temperature or cold output.

[0086] To improve the responsiveness of the regulation, the relationship between the propagation delay time and the temperature regulation reference value also needs to be introduced. The propagation delay time reflects the response time of heat conduction from the heat source to the direct influence area, and the shorter it is, the more rapid the thermal disturbance impact is, and the more timely the air conditioning response needs to be. Therefore, the temperature regulation reference value is calculated by ratio with the propagation delay time to obtain the temperature response coefficient, which is used to measure the urgency of the regulation action. Finally, the temperature response coefficient and the temperature regulation reference value are combined by weighting to obtain the first regional temperature compensation coefficient of the first region: first regional temperature compensation coefficient = temperature regulation reference value + temperature response coefficient. are empirical weighting coefficients, reflecting the sensitivity of the control compensation amount to the current disturbance intensity and the response speed. In this way, the temperature compensation coefficient obtained has dynamic adjustment capability and can accurately reflect the actual cold demand of the heat source direct influence area. For example, if the thermal disturbance in the upper region of the atrium is continuously enhanced, the diffusion index rises rapidly, and the propagation delay time is relatively short, the temperature compensation coefficient of this region will increase rapidly, guiding the air conditioning system to increase the supply air cold output to prevent the temperature from rising too fast.

[0087] At the same time of completing the calculation of the first regional temperature compensation coefficient, the second regional temperature compensation coefficient also needs to be calculated for the second region, i.e. the heat source indirect influence area, based on the second thermal disturbance diffusion index. Although the process is similar in logic to the direct influence area, since the thermal disturbance change in the indirect influence area is usually slow and periodic, more attention is paid to the long-term trend of the diffusion index rather than the short-term dramatic change in the calculation. The historical thermal disturbance change amount can be calculated by an integral method, and the regulation amplitude can be modified in combination with the temperature fluctuation period, finally obtaining a relatively stable second regional temperature compensation coefficient.

[0088] ​​​After obtaining the first and second zone temperature compensation coefficients, the air conditioner control strategy generation phase can be entered. Optionally, generating the air conditioner control scheme based on the first and second zone temperature compensation coefficients can include:

[0089] determining a first temperature adjustment value of the heat source direct influence zone based on the first zone temperature compensation coefficient, determining a second temperature adjustment value of the heat source indirect influence zone based on the second zone temperature compensation coefficient, and obtaining a temperature adjustment strategy, the temperature adjustment strategy including an adjustment direction and an adjustment amplitude of the supply air temperature;

[0090] determining a temperature adjustment timing according to the propagation delay time of the heat source direct influence zone and the temperature fluctuation period of the heat source indirect influence zone;

[0091] obtaining an air conditioner control scheme based on the temperature adjustment strategy and the temperature adjustment timing.

[0092] First, the first zone temperature compensation coefficient is mapped to a first temperature adjustment value, i.e., a supply air temperature adjustment target of the heat source direct influence zone, and the second zone temperature compensation coefficient is mapped to a second temperature adjustment value, i.e., a supply air correction target of the indirect influence zone. The two temperature adjustment values together constitute a temperature adjustment strategy, which includes whether the supply air temperature is adjusted upward or downward (adjustment direction) and how much it is adjusted (adjustment amplitude), which will be directly used to modify the output parameters of the air conditioning system.

[0093] To ensure that the timing of the adjustment action matches the propagation process of the heat disturbance, the temperature adjustment timing of the heat source direct influence zone and the indirect influence zone is also determined according to the propagation delay time and the temperature fluctuation period. Specifically, the direct influence zone should complete the adjustment before the heat disturbance arrives, and the indirect influence zone can determine the inflection point of the temperature fluctuation according to the period, and complete the cold release before the peak of the heat disturbance. Combining the above temperature adjustment strategy and adjustment timing, an air conditioner control scheme including adjustment nodes, adjustment amplitudes, and adjustment priorities can be generated, realizing dynamic coupling control of space heat disturbance and air conditioner response.

[0094] For example, in a large shopping mall, when the heat source in the atrium is turned on due to activities, the heat disturbance diffusion index in the direct influence zone rises rapidly, the propagation delay time is only 1 minute, and the temperature compensation coefficient reaches 3.3°C after calculation. The system immediately sets the supply air temperature to be adjusted downward by 3.3°C, and the adjustment time is set to be completed 45 seconds in advance; while the heat disturbance in the indirect influence zone on the 3rd floor slowly accumulates, with a period of 20 minutes, the system adjusts gently with a compensation value of 1.5°C, and the adjustment time is set to be executed 5 minutes before the peak of the period. Through such time sequence differentiation control, the intelligent temperature control effect of precision, partition, and time sequence synchronization is realized.

[0095] See Figure 3A structural schematic diagram of a central air conditioning control system of a large complex is provided for an embodiment of the present application, and the central air conditioning control system 300 of the large complex specifically comprises:

[0096] A first acquisition module 301 is configured to acquire a central atrium heat source area, a first refrigeration area and a second refrigeration area of the large complex, the central atrium heat source area is an atrium area with a hollow structure in the large complex, the first refrigeration area includes a refrigeration area of each floor between a first floor and a second floor, the first floor is a floor where the central atrium heat source area is located, the second floor is the highest floor of the large complex, and the second refrigeration area is a refrigeration area of the highest floor; a second acquisition module 302 is configured to acquire internal space features of the large complex, first heat source parameters of the central atrium heat source area and second heat source parameters of the second refrigeration area, the heat source parameters include heat source positions, heat source intensities and heat source durations, and the heat source parameters include the first heat source parameters and the second heat source parameters; a third acquisition module 303 is configured to acquire temperature data of the large complex, the temperature data includes first temperature data of the first refrigeration area, second temperature data of the second refrigeration area and third temperature data of the central atrium heat source area; a first determination module 304 is configured to determine a heat propagation path of the large complex based on the internal space features, the heat source parameters, the first temperature data and the third temperature data, the heat propagation path includes a vertical path and a horizontal path; a second determination module 305 is configured to determine a direct influence area and an indirect influence area of the heat source in the first refrigeration area based on the heat propagation path, the first temperature data and the second temperature data; a calculation module 306 is configured to acquire temperature variation features, heat source parameters and environmental influence factors of the direct influence area and the indirect influence area of the heat source respectively, and calculate a first heat disturbance diffusion index of the direct influence area of the heat source and a second heat disturbance diffusion index of the indirect influence area of the heat source based on the internal space features, the temperature variation features, the heat source parameters and the environmental influence factors; and a generation module 307 is configured to determine a first area temperature compensation coefficient based on the first heat disturbance diffusion index, determine a second area temperature compensation coefficient based on the second heat disturbance diffusion index, and generate an air conditioning control scheme according to the first area temperature compensation coefficient and the second area temperature compensation coefficient.

[0097] Optionally, the first determining module 304 is specifically configured to: determine a heat rising path of the atrium heat source area based on the first heat source parameter, the hollow structure information in the internal space feature, and the floor height relationship; determine a continuity section of heat propagation in the heat rising path according to a first temperature change trend corresponding to different heights in the third temperature data, to obtain a first vertical path; determine a heat sinking path of the second refrigeration area based on the second heat source parameter, the top lighting structure in the internal space feature, and the floor closed feature; analyze a second temperature change trend of the first temperature data, and obtain a second vertical path according to the second temperature change trend and the heat sinking path; 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; and splice the first vertical path, the second vertical path, and the horizontal path to obtain the heat propagation path.

[0098] Optionally, the first determining module 304 is further specifically configured to: determine a temperature change starting time and a temperature change amplitude of a plurality of target first refrigeration areas between an upper extension boundary of the first vertical path and a lower extension boundary of the second vertical path within a heat source duration; calculate a temperature change rate of each target first refrigeration area according to the second temperature change trend, and determine a heat diffusion direction of the target first refrigeration area; analyze a distribution trend of the temperature change rate of the plurality of target first refrigeration areas in space, and construct a temperature gradient field between the plurality of target first refrigeration areas based on the distribution trend and the heat diffusion direction; and determine an actual heat propagation path based on a direction and an intensity of the temperature gradient field and an obstacle distribution in the internal space feature, to obtain the horizontal path.

[0099] Optionally, the second determining module 305 is specifically configured to: determine temperature change time sequence data in the heat propagation path based on the first temperature data and the second temperature data, determine a propagation delay time of the temperature change based on the temperature change time sequence data, and mark a first refrigeration area with a propagation delay time less than a preset time threshold as a heat source direct influence area; regard a first refrigeration area with a propagation delay time greater than or equal to the preset time threshold as a pending area, and obtain a temperature fluctuation period and a fluctuation amplitude of the pending area within the heat source duration; when the temperature fluctuation period is within a preset period range and the temperature fluctuation amplitude is within a preset amplitude range, determine the pending area as a heat source indirect influence area.

[0100] Optionally, the calculation module 306 is specifically configured to: based on the obstacle distribution information in the internal space feature and the temperature conduction rate in the temperature change feature, construct a heat blocking coefficient of the direct influence area of the heat source and the indirect influence area of the heat source, wherein the heat blocking coefficient is used to represent the attenuation effect of the obstacle on the heat propagation; based on the heat source intensity, the heat source duration and the air flow speed in the environmental influence factor, calculate a heat diffusion rate of the direct influence area of the heat source and the indirect influence area of the heat source, the heat diffusion rate is used to represent the diffusion degree of heat per unit time; calculate the ratio of the heat blocking coefficient and the heat diffusion rate to obtain a heat propagation attenuation coefficient; based on the heat propagation attenuation coefficient and the propagation delay time of the direct influence area of the heat source, obtain a first heat diffusion feature curve; based on the heat propagation attenuation coefficient and the temperature fluctuation period of the indirect influence area of the heat source, obtain a second heat diffusion feature curve; respectively integrate the first heat diffusion feature curve and the second heat diffusion feature curve to obtain a first heat disturbance diffusion index and a second heat disturbance diffusion index, wherein the heat disturbance diffusion index represents the cumulative influence degree of heat in space, and the heat disturbance diffusion index includes the first heat disturbance diffusion index and the second heat disturbance diffusion index.

[0101] Optionally, the generation module 307 is specifically configured to: calculate the change rate of the first heat disturbance diffusion index, when the change rate is greater than a preset rate threshold, determine a cumulative change amount of the first heat disturbance diffusion index, and determine a temperature regulation reference value based on the cumulative change amount; calculate the ratio of the temperature regulation reference value and the propagation delay time of the direct influence area of the heat source to obtain a temperature response coefficient; and perform weighted calculation on the temperature response coefficient and the temperature regulation reference value to obtain a first area temperature compensation coefficient.

[0102] Optionally, the generation module 307 is specifically configured to: determine a first temperature regulation value of the direct influence area of the heat source based on the first area temperature compensation coefficient, determine a second temperature regulation value of the indirect influence area of the heat source based on the second area temperature compensation coefficient, obtain a temperature regulation strategy, and the temperature regulation strategy includes the adjustment direction and the adjustment amplitude of the supply air temperature; determine a temperature regulation timing according to the propagation delay time of the direct influence area of the heat source and the temperature fluctuation period of the indirect influence area of the heat source; and obtain an air conditioner control scheme based on the temperature regulation strategy and the temperature regulation timing.

[0103] It should be noted that the apparatus provided in the above embodiments is only exemplified by the above division of functional modules when realizing its functions.

[0104] The embodiment also discloses an electronic device, which refers to Figure 4The electronic device can 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 realize the connection communication between the components. The user interface 403 can include a display screen and a camera, and the optional user interface 403 can further include a standard wired interface and a wireless interface. The network interface 404 can optionally include a standard wired interface and a wireless interface.

[0105] The processor 401 can include one or more processing cores. The processor 401 connects various parts within the server through various interfaces and lines, 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 at least one of the forms of digital signal processing, field programmable gate array, and programmable logic array. The processor 401 can integrate a combination of one or more of central processing units, image processors, and modems. It can be understood that the above-mentioned modem can also not be integrated into the processor 401, but can be implemented separately by a chip.

[0106] The memory 405 can include random access memory and 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 can include a program storage area and a data storage area, wherein the program storage area can 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 can store data involved in the above-mentioned various method embodiments, etc. The memory 405 can optionally be at least one storage device located away from the aforementioned processor 401. As shown in Figure 4 The memory 405 as a computer storage medium can include an operating system, a network communication module, a user interface module, and an application program of a central air conditioning control method of a large complex.

[0107] In the electronic device shown in Figure 4 The user interface 403 is mainly used to provide an interface for the user to input, and to obtain data input by the user; and the processor 401 can be used to call an application program of a central air conditioning control method of a large complex stored in the memory 405, and when executed by one or more processors 401, the electronic device executes the method of one or more of the above embodiments.

[0108] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable memory. The technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a memory 405, including a plurality of instructions for executing all or part of the steps of the embodiments of the present application. The memory 405 includes: U disk, mobile hard disk, magnetic or optical disk and various media that can store program codes.

[0109] The above is only an exemplary embodiment of the present disclosure, and cannot limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon considering the disclosure. The present application is intended to cover any variations, uses or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or conventional techniques in the art not described in the present disclosure. 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, When applied to a server, the method includes: The atrium heat source area, the first cooling area, and the second cooling area of ​​the large complex are obtained. The atrium heat source area is the atrium area with an open 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 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 are obtained. The heat source parameters include heat source location, heat source intensity and heat source duration. The heat source parameters include the first heat source parameters and the second heat source parameters. Acquire temperature data of the large complex, including first temperature data of the first cooling zone, second temperature data of the second cooling zone, and third temperature data of the atrium heat source zone; The heat propagation path of the large complex is determined based on the internal space characteristics, the heat source parameters, the first temperature data, and the third temperature data. The heat propagation path includes a vertical path and a horizontal path. Based on the heat propagation path, the first temperature data, and the second temperature data, the direct heat source influence zone and the indirect heat source influence zone in the first cooling zone are determined. The temperature change characteristics, heat source parameters, and environmental influencing factors of the directly affected area and the indirectly affected area of ​​the heat source are obtained respectively. Based on the internal space characteristics, the temperature change characteristics, the heat source parameters, and the environmental influencing factors, the first thermal disturbance diffusion index of the directly affected area and the second thermal disturbance diffusion index of the indirectly affected area of ​​the heat source are calculated respectively. The temperature compensation coefficient for the first region is determined based on the first thermal disturbance diffusion index, the temperature compensation coefficient for the second region is determined based on the second thermal disturbance diffusion index, and an air conditioning control scheme is generated based on the temperature compensation coefficient for the first region and the temperature compensation coefficient for the second region. The calculation of the first thermal disturbance diffusion index for the directly affected area of ​​the heat source and the second thermal disturbance diffusion index for the indirectly affected area of ​​the heat source, based on the internal space characteristics, temperature change characteristics, heat source parameters, and environmental influencing factors, specifically includes: Based on the obstacle distribution information in the internal space features and the temperature conduction rate in the temperature change features, a heat barrier coefficient is constructed for the direct influence zone of the heat source and the indirect influence zone of the heat source, wherein the heat barrier coefficient is used to characterize the attenuation effect of obstacles on heat propagation. Based on the heat source intensity, the heat source duration, and the airflow velocity among the environmental influencing factors, the heat diffusion rate of the direct influence zone and the indirect influence zone of the heat source is calculated. The heat diffusion rate is used to characterize the degree of heat diffusion per unit time. The heat propagation attenuation coefficient is obtained by calculating the ratio of the heat barrier coefficient to the heat diffusion rate. The first thermal diffusion characteristic curve is obtained based on the thermal propagation attenuation coefficient and the propagation delay time of the area directly affected by the heat source. The second thermal diffusion characteristic curve is obtained based on the thermal propagation attenuation coefficient and the temperature fluctuation period of the heat source indirect influence zone. Integral operations are performed on the first thermal diffusion characteristic curve and the second thermal 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 degree of 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. The determination of the temperature compensation coefficient for the first region based on the first thermal disturbance diffusion index specifically includes: Calculate the rate of change of the first thermal disturbance diffusion index. 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. The temperature response coefficient is obtained by calculating the ratio of the temperature regulation reference value to the propagation delay time of the area directly affected by the heat source. The temperature response coefficient and the temperature adjustment reference value are weighted and calculated to obtain the temperature compensation coefficient of the first region; The step of generating an air conditioning control scheme based on the temperature compensation coefficient of the first region and the temperature compensation coefficient of the second region specifically includes: Based on the temperature compensation coefficient of the first region, a first temperature adjustment value is determined for the area directly affected by the heat source, and a second temperature adjustment value is determined for the area indirectly affected by the heat source based on the temperature compensation coefficient of the second region, thereby obtaining a temperature adjustment strategy. The temperature adjustment strategy includes the adjustment direction and adjustment range of the supply air temperature. The temperature regulation sequence is determined 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 regulation strategy and the temperature regulation timing.

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: Based on the first heat source parameters, the relationship between the open structure information and floor height in the internal space features, the heat rise path of the atrium heat source area is determined; Based on the first temperature change trend corresponding to different heights in the third temperature data, the continuous segment of heat propagation in the heat rise path is determined, and the first vertical path is obtained. Based on the second heat source parameters, the top lighting structure and floor enclosure characteristics in the internal space, the heat sinking path of the second cooling zone is determined; Analyze the second temperature change trend of the first temperature data, and obtain the second vertical path based on the second temperature change trend and the heat sinking path. Based on the second temperature change trend, the first vertical path and the second vertical path, the horizontal diffusion direction is determined, and the horizontal path is obtained. The heat propagation path is obtained by concatenating the first vertical path, the second vertical path, and the horizontal path.

3. The method according to claim 2, characterized in that, The determination of 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: Determine the start time and magnitude of temperature change of multiple target first cooling zones between the upper boundary of the first vertical path and the lower boundary of the second vertical path during the duration of the heat source. Calculate the temperature change rate of each of the target first cooling zones based on the second temperature change trend, and determine the heat diffusion direction of the target first cooling zone; Analyze the spatial distribution trend of the temperature change rate of multiple target first cooling zones, and construct a temperature gradient field for multiple target first cooling zones based on the distribution trend and the heat diffusion direction; Based on the direction and intensity of the temperature gradient field and the distribution of obstacles in the internal space, the actual heat propagation path is determined, and the horizontal path is obtained.

4. The method according to claim 1, characterized in that, The step of determining the direct and indirect heat source influence zones within the first cooling zone based on the heat propagation path, the first temperature data, and the second temperature data specifically includes: Based on the first temperature data and the second temperature data, the temperature change time series data in the heat propagation path is determined, and the propagation delay time of the temperature change is determined based on the temperature change time series data. The first cooling zone with the propagation delay time less than a preset time threshold is marked as the direct influence zone of the heat source. The first cooling zone with a propagation delay time greater than or equal to the preset time threshold is taken as the undetermined region, and the temperature fluctuation period and fluctuation amplitude of the undetermined region during the duration of the heat source are obtained. When the temperature fluctuation period is within a preset period range and the temperature fluctuation amplitude is within a preset amplitude range, the undetermined area is determined as the heat source indirect influence area.

5. A central air conditioning control system for a large complex, characterized in that, include: The first acquisition module is used to acquire 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 an open 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 acquire 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 heat source location, 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 acquire temperature data of the large complex, including first temperature data of the first cooling zone, second temperature data of the second cooling zone, and third temperature data of the atrium heat source zone. The first determining module is used to determine 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, wherein the heat propagation path includes a vertical path and a horizontal path. The second determining module is used to determine the direct heat source influence zone and the indirect heat source influence zone in the first cooling zone based on the heat propagation path, the first temperature data and the second temperature data. The calculation module is used to obtain 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 calculate 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 based on the internal space characteristics, the temperature change characteristics, the heat source parameters, and the environmental influencing factors. The generation module is used to determine the temperature compensation coefficient of the first region based on the first thermal disturbance diffusion index, determine the temperature compensation coefficient of the second region based on the second thermal disturbance diffusion index, and generate an air conditioning control scheme according to the temperature compensation coefficient of the first region and the temperature compensation coefficient of the second region. The calculation module is also used to construct the heat barrier coefficients of the direct influence zone and the indirect influence zone of the heat source 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. Based on the heat source intensity, the heat source duration, and the airflow velocity among the environmental influencing factors, the heat diffusion rate of the direct influence zone and the indirect influence zone of the heat source is calculated. The heat diffusion rate is used to characterize the degree of heat diffusion per unit time. The heat propagation attenuation coefficient is obtained by calculating the ratio of the heat barrier coefficient to the heat diffusion rate. The first thermal diffusion characteristic curve is obtained based on the thermal propagation attenuation coefficient and the propagation delay time of the area directly affected by the heat source. The second thermal diffusion characteristic curve is obtained based on the thermal propagation attenuation coefficient and the temperature fluctuation period of the heat source indirect influence zone. Integral operations are performed on the first thermal diffusion characteristic curve and the second thermal 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 degree of 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. The generation module is also 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, to determine the cumulative change of the first thermal disturbance diffusion index, and to determine a temperature adjustment reference value based on the cumulative change. The temperature response coefficient is obtained by calculating the ratio of the temperature regulation reference value to the propagation delay time of the area directly affected by the heat source. The temperature response coefficient and the temperature adjustment reference value are weighted and calculated to obtain the temperature compensation coefficient of the first region; The generation module is further configured to determine a first temperature adjustment value for the heat source directly affected area based on the first area temperature compensation coefficient, and a second temperature adjustment value for the heat source indirectly affected area based on the second area temperature compensation coefficient, thereby obtaining a temperature adjustment strategy, wherein the temperature adjustment strategy includes the adjustment direction and adjustment range of the supply air temperature. The temperature regulation sequence is determined 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 regulation strategy and the temperature regulation timing.

6. An electronic device, characterized in that, include: One or more processors and memory; The memory is coupled to the one or more processors, the memory being used to store computer program code, the computer program code including computer instructions, the one or more processors invoking the computer instructions to cause the electronic device to perform the method as described in any one of claims 1-4.

7. A computer-readable storage medium comprising instructions, characterized in that, When the instructions are executed on an electronic device, the electronic device causes the electronic device to perform the method as described in any one of claims 1-4.

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