Self-adaptive control building internal temperature regulation and control method, equipment, medium and product

Abstract

The invention relates to the technical field of temperature regulation and control, in particular to a self-adaptive control building internal temperature regulation and control method and device, a medium and a product. The method comprises the steps that heat conduction simulation is conducted based on historical environment temperature data and building attribute information, and a first corresponding relation between environment temperature and building temperature distribution and a second corresponding relation between the environment temperature and building heat energy exchange capacity are obtained; determining equipment installation information of the target building based on the temperature adjustment capability information and the first corresponding relation; historical people flow information of the target building is acquired, and target temperature distribution is determined based on the historical people flow information; obtaining predicted environment information, and determining predicted temperature distribution of the target building based on the predicted environment information and the first corresponding relation; and based on the target temperature distribution, the predicted temperature distribution and the second corresponding relation, an equipment regulation and control strategy of the temperature regulation equipment in the target building is formulated. According to the invention, self-adaptive regulation and control of the internal temperature of the building are realized.

Description

Technical Field

[0001] This application relates to the field of temperature control technology, and in particular to an adaptive control method, device, medium and product for controlling the internal temperature of a building. Background Technology

[0002] With the rapid development of building intelligence, people have increasingly higher requirements for the comfort and energy efficiency of building interior temperature. Building interior temperature control has become an important part of building energy conservation and intelligent management.

[0003] In related technologies, building interior temperature control often employs preset fixed temperature thresholds or simple environmental parameters for singular control. For example, temperature sensors are installed inside the building, and when the detected temperature exceeds or falls below a preset threshold, the temperature-regulating equipment such as air conditioners is controlled to turn on, off, or adjust its power. However, this approach has significant limitations, often leading to problems such as delayed temperature control, energy waste, or insufficient comfort, and failing to meet the dynamic temperature requirements of buildings in different scenarios. Summary of the Invention

[0004] To address the problem of inaccurate temperature control inside buildings in existing technologies, this application provides an adaptive control method, device, medium, and product for temperature control inside buildings.

[0005] Firstly, this application provides an adaptive control method for regulating the internal temperature of a building, employing the following technical solution: An adaptive control method for regulating building interior temperature includes: Historical ambient temperature data and building attribute information of the target building are acquired. Based on the historical ambient temperature data and building attribute information, heat conduction simulation is performed to obtain a first correspondence between ambient temperature and building temperature distribution and a second correspondence between ambient temperature and building heat energy exchange. Obtain the temperature regulation capability information of the temperature regulation equipment, and determine the equipment installation information of the target building based on the temperature regulation capability information and the first correspondence relationship, so as to instruct the installers to install the temperature regulation equipment inside the target building according to the equipment installation information; Obtain historical pedestrian traffic information for the target building, and determine the target temperature distribution based on the historical pedestrian traffic information; Obtain predicted environmental information, and determine the predicted temperature distribution of the target building based on the predicted environmental information and the first correspondence relationship; Based on the target temperature distribution, the predicted temperature distribution, and the second correspondence, an equipment control strategy for the temperature control equipment inside the target building is formulated.

[0006] By adopting the above technical solution, historical ambient temperature data and building attribute information are obtained through heat conduction simulation to obtain the corresponding relationship. The installation information is determined by combining the capacity of temperature control equipment, the target temperature distribution is determined based on historical traffic flow, and the predicted temperature distribution is determined by combining predicted environmental information. Finally, a control strategy is formulated. This process comprehensively considers multiple factors such as the building's own characteristics, environmental changes, and personnel flow, and realizes adaptive control of the building's internal temperature. It can not only meet the temperature requirements under different scenarios, but also improve energy utilization efficiency and reduce energy waste.

[0007] In a preferred embodiment, this application can be further configured as follows: the step of formulating an equipment control strategy for the temperature control equipment inside the target building based on the target temperature distribution, the predicted temperature distribution, and the second correspondence includes: Based on the target temperature distribution and the predicted temperature distribution, the regional temperature difference of the target area in each predicted time period is determined; Locate the passive temperature control device in the target area and determine whether the passive temperature control device can meet the temperature control requirements corresponding to the temperature difference in the area. If the passive temperature control device can meet the temperature control requirements, then the passive temperature control device is turned on. If the passive temperature control device cannot meet the temperature control requirements, then a device control strategy for the temperature control device inside the target building is formulated based on the regional temperature difference and the second correspondence.

[0008] By adopting the above technical solution, the regional temperature difference is first determined, and it is then determined whether the passive temperature control equipment can meet the demand. If it cannot, an active temperature control strategy is then formulated. The passive temperature control equipment is used first to give full play to its low energy consumption advantage, thereby reducing the frequency of use of the active temperature control equipment and reducing energy consumption. At the same time, the active temperature control strategy ensures the temperature control effect when the passive equipment cannot meet the demand.

[0009] In a preferred embodiment, this application can be further configured as follows: the equipment control strategy for the temperature control equipment inside the target building based on the regional temperature difference and the second correspondence includes: The estimated temperature control duration used to eliminate the regional temperature difference during the target prediction period, assuming all temperature control devices in the target area are operating at maximum power, is defined as any prediction period. The execution time is defined as the moment before the start time of the target prediction period when the time difference between the start time and the start time is half of the estimated temperature adjustment duration, and the end time is defined as the moment after the start time when the time difference between the start time and the start time is half of the estimated temperature adjustment duration. The operating power of the equipment in the target area during the target prediction period is determined based on the second correspondence. At the execution time, all temperature-regulating devices in the target area are operated at the maximum operating power, and at the end time, all temperature-regulating devices in the target area are operated at the device operating power.

[0010] By adopting the above technical solution, the estimated temperature adjustment time is determined, the execution time and end time are set, the equipment operating power is determined and adjusted according to the time, and the equipment is started in advance with the maximum operating power. This can quickly eliminate the temperature difference and ensure that the target temperature is reached during the target time period. After that, it is switched to stable power operation, which not only ensures the timeliness and stability of temperature control, but also avoids excessive energy consumption.

[0011] In a preferred embodiment, this application can be further configured such that: determining the device operating power of the target area during the target prediction period based on the second correspondence includes: Obtain the heat adjustment value per unit time for a single temperature control device, wherein the heat adjustment value represents the temperature control effect that the temperature control device can achieve when operating at its maximum power. The amount of heat energy exchanged per unit time in the target area is determined based on the second correspondence. Based on the number of devices in the target area, the heat adjustment value, and the heat exchange rate, the operating power of each temperature-regulating device in the target area is determined.

[0012] By adopting the above technical solution, the heat adjustment value of a single device is obtained, and the operating power is determined by combining the heat exchange volume and the number of devices. The operating power is accurately set according to the actual heat exchange demand and the device capacity, so that the energy output of the temperature control device matches the actual demand, further improving energy utilization efficiency, while ensuring the temperature stability of the target area.

[0013] In a preferred embodiment, this application can be further configured as follows: the building attribute information includes building structure information and building material information; the step of performing heat conduction simulation based on the historical ambient temperature data and the building attribute information to obtain a first correspondence between ambient temperature and building temperature distribution includes: Extract the minimum and maximum historical ambient temperatures from the historical ambient temperature data, and select multiple historical ambient temperatures between the minimum and maximum historical ambient temperatures. The target building is divided into multiple areas based on the building structure information; The building structure information and the building material information are transmitted to the simulation model; The simulation model is run at each historical ambient temperature to obtain the building temperature distribution of the target building output by the simulation model. The building temperature distributions output by the simulation model corresponding to each of the multiple historical ambient temperatures constitute the first correspondence relationship. The building temperature distribution includes the regional temperature of each area in the target building.

[0014] By adopting the above technical solution, historical extreme values ​​of ambient temperature are extracted and intermediate values ​​are selected in the heat conduction simulation. Combined with the division of the building structure into regions, relevant information is input into the simulation model to obtain the first correspondence. This can comprehensively cover the range of ambient temperatures that the building may face. Moreover, the regional division makes the temperature distribution simulation more accurate, providing more reliable basic data for subsequent temperature control and equipment installation, and improving the accuracy of the entire control method.

[0015] In a preferred embodiment, this application can be further configured such that: determining the equipment installation information of the target building based on the temperature regulation capability information and the first correspondence includes: Obtain the temperature adjustment time limit and the reference target temperature; The maximum temperature difference of the target area is determined based on the benchmark target temperature and the first correspondence, wherein the target area is any area in the target building; The regional spatial information of the target area is determined from the building attribute information, and the total heat difference is determined based on the maximum temperature difference and the regional spatial information; The ratio of the total heat difference to the temperature adjustment time limit is calculated to obtain the total heat adjustment value per unit time; Based on the temperature control capability information, the heat adjustment value per unit time of a single temperature control device is determined, and the ratio of the total heat adjustment value to the heat adjustment value is calculated to obtain the number of devices in the target area. The number of devices in each area within the target building constitutes the device installation information.

[0016] By adopting the above technical solution, the temperature regulation time limit and the reference target temperature are obtained, the maximum temperature regulation difference and the total heat difference are determined, and then the number of equipment is calculated. Based on the specific temperature regulation needs and equipment capabilities, the number of equipment to be installed is determined, avoiding the situation where insufficient equipment cannot meet the temperature regulation needs or excessive equipment causes resource waste. This achieves a reasonable configuration of temperature regulation equipment and ensures the effectiveness and economy of temperature control.

[0017] In a preferred embodiment, this application can be further configured such that determining the target temperature distribution based on the historical pedestrian flow information includes: Based on the historical pedestrian flow information, the predicted pedestrian flow information for each area within the target building is determined. Based on the predicted pedestrian flow information and pedestrian flow level classification rules of the target area, the total prediction period is divided into multiple prediction periods, and the pedestrian flow level of the target area in each prediction period is determined. The target temperature corresponding to each traffic level is obtained. Based on the traffic level of the target area and the target temperature corresponding to each traffic level in each prediction period, the target temperature of the target area in the total prediction period is determined. The target temperature distribution is formed by the target temperature of each area in the target building in the total prediction period.

[0018] By adopting the above technical solution, the predicted traffic flow is determined based on historical traffic flow, the predicted time period and traffic flow level are divided, and the target temperature distribution is determined by combining the target temperature corresponding to the level. This allows the target temperature to be dynamically adjusted according to the traffic flow at different times, ensuring the comfort of people while avoiding unnecessary energy consumption and making the temperature control more in line with actual use scenarios.

[0019] Secondly, this application provides an electronic device that adopts the following technical solution: One or more processors; Memory; At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: perform an adaptive control method for regulating the interior temperature of a building as described in any of the first aspects.

[0020] Thirdly, this application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to perform an adaptive control method for regulating the interior temperature of a building as described in any of the first aspects.

[0021] Fourthly, this application provides a computer program product, which adopts the following technical solution: A computer program product includes a computer program that, when executed by a processor, implements an adaptive control method for regulating the interior temperature of a building as described in any of the first aspects.

[0022] In summary, this application includes the following beneficial technical effects: This application obtains the corresponding relationship by acquiring historical ambient temperature data and building attribute information to perform heat conduction simulation, determines the installation information by combining the temperature control equipment capacity, determines the target temperature distribution based on historical traffic flow, determines the predicted temperature distribution by combining predicted environmental information, and finally formulates a control strategy. This process comprehensively considers multiple factors such as the building's own characteristics, environmental changes, and personnel flow, and realizes adaptive control of the building's internal temperature, which can not only meet the temperature requirements under different scenarios, but also improve energy utilization efficiency and reduce energy waste. Attached Figure Description

[0023] Figure 1 This is a schematic flowchart of an adaptive control method for regulating the internal temperature of a building, provided in an embodiment of this application. Figure 2 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0024] The following is in conjunction with the appendix Figure 1 To be continued Figure 2 This application will be described in further detail.

[0025] This specific embodiment is merely an explanation of this application and is not intended to limit it. After reading this specification, those skilled in the art can make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they fall within the scope of the claims of this application.

[0026] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0027] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0028] It should be noted that, in the optional embodiments of this application, the data related to object information, when applied to specific products or technologies, requires the permission or consent of the object. Furthermore, the collection, use, and processing of this data must comply with the relevant laws, regulations, and standards of the relevant countries and regions. In other words, if the embodiments of this application involve data related to an object, it must be obtained with the object's authorization and consent, the authorization and consent of relevant departments, and in accordance with the relevant laws, regulations, and standards of the country and region. If the embodiments involve personal information, the acquisition of all personal information requires the individual's consent. If sensitive information is involved, the separate consent of the information subject is required. The embodiments also need to be implemented with the object's authorization and consent.

[0029] This application provides an adaptive control method for regulating the interior temperature of a building, such as... Figure 1 As shown, the method provided in this application embodiment is executed by an electronic device, which can be a server or a terminal device. The server can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smartphone, tablet, laptop, desktop computer, etc., but is not limited to these. The terminal device and the server can be directly or indirectly connected via wired or wireless communication. This application embodiment does not impose any limitations on this connection. The method includes steps S101-S105, wherein: S101. Obtain historical ambient temperature data and building attribute information of the target building. Perform heat conduction simulation based on historical ambient temperature data and building attribute information to obtain the first correspondence between ambient temperature and building temperature distribution and the second correspondence between ambient temperature and building heat energy exchange.

[0030] Specifically, the target building is any building that requires temperature control. Historical ambient temperature data includes ambient temperature data for the area where the target building is located over a period of time prior to the current moment. Building attribute information includes building structure information and building material information. Building structure information includes the building's unit type, floor height, wall distribution, door and window location and size, etc. Building material information includes the materials used for the walls, roof, and floor, as well as their thermophysical properties such as thermal conductivity and specific heat capacity. Based on the target building's building structure information, the target building is divided into multiple areas, each representing an independent space, such as a single room representing a single area.

[0031] Computer simulation technology was used to simulate the heat transfer process within a building and between the building and its external environment, resulting in a first and a second correspondence. The first correspondence represents the relationship between ambient temperature and building temperature distribution, i.e., the temperature conditions of various areas within the building when the ambient temperature is a certain value. The second correspondence represents the relationship between ambient temperature and building heat exchange, i.e., the amount of heat exchanged between various areas within the building and the external environment per unit time when the ambient temperature is a certain value.

[0032] S102. Obtain the temperature regulation capability information of the temperature regulation equipment, and determine the equipment installation information of the target building based on the temperature regulation capability information and the first correspondence relationship, so as to instruct the installers to install the temperature regulation equipment inside the target building according to the equipment installation information.

[0033] Specifically, the temperature control equipment has both cooling and heating functions. The temperature control capacity information indicates the amount of heat (i.e., heat adjustment value) that a single device can regulate per unit time when operating at maximum power. The equipment installation information includes the number of temperature control devices that need to be installed in various areas within the target building.

[0034] S103. Obtain historical pedestrian traffic information for the target building and determine the target temperature distribution based on the historical pedestrian traffic information.

[0035] Specifically, historical pedestrian traffic information represents the number of people in different areas of the target building at different times over a past period. Target temperature distribution represents the desired temperature in different areas of the target building at different times. People generate heat during their activities, and their comfort temperature requirements vary depending on pedestrian traffic. For example, areas with high pedestrian traffic require relatively lower comfort temperatures due to greater heat loss from the body, while areas with low pedestrian traffic require relatively higher comfort temperatures. Based on historical pedestrian traffic information, pedestrian traffic at different times can be predicted, thereby determining the target temperature for each area at each time period, thus forming the target temperature distribution.

[0036] S104. Obtain predicted environmental information, and determine the predicted temperature distribution of the target building based on the predicted environmental information and the first correspondence.

[0037] Specifically, based on the predicted environmental information and the first correspondence, the temperature conditions of various areas inside the target building at different future time periods are inferred.

[0038] S105. Based on the target temperature distribution, the predicted temperature distribution, and the second correspondence, formulate the equipment control strategy for the temperature control equipment inside the target building.

[0039] Specifically, equipment control strategy refers to the scheme for controlling the operation of temperature control equipment inside the target building, including the equipment's on / off time, operating power, and operating duration.

[0040] This embodiment obtains the corresponding relationship by acquiring historical ambient temperature data and building attribute information to perform heat conduction simulation, determines the installation information by combining the temperature control equipment capacity, determines the target temperature distribution based on historical traffic flow, determines the predicted temperature distribution by combining predicted environmental information, and finally formulates a control strategy. This process comprehensively considers multiple factors such as the building's own characteristics, environmental changes, and personnel flow, and realizes adaptive control of the building's internal temperature. It can not only meet the temperature requirements under different scenarios, but also improve energy utilization efficiency and reduce energy waste.

[0041] One possible implementation of this application embodiment includes building attribute information such as building structure information and building material information; heat conduction simulation is performed based on historical ambient temperature data and building attribute information to obtain a first correspondence between ambient temperature and building temperature distribution, including: Extract the minimum and maximum historical ambient temperatures from historical ambient temperature data, and select multiple historical ambient temperatures between the minimum and maximum historical ambient temperatures. The target building is divided into multiple areas based on its structural information; Transmit building structure information and building material information to the simulation model; The simulation model is run at each historical ambient temperature to obtain the building temperature distribution of the target building output by the simulation model. The building temperature distribution output by the simulation model corresponding to each of the multiple historical ambient temperatures constitutes the first correspondence. The building temperature distribution includes the regional temperature of each area in the target building.

[0042] In this embodiment, multiple historical ambient temperatures are selected between the minimum and maximum historical ambient temperatures using a uniform sampling method. The number of historical ambient temperatures is not limited in this embodiment. The simulation model can be a heat conduction simulation software, such as EnergyPlus or TRNSYS.

[0043] Temperatures within a building vary significantly due to structural variations (e.g., sunny vs. shady rooms, large open spaces vs. small cubicles), making direct simulation of the overall building temperature distribution inaccurate. By dividing the building into zones, temperatures can be calculated separately for each zone based on its structural characteristics (e.g., dimensions, door and window locations), resulting in simulations that are more realistic. Using walls and doors / windows as physical boundaries, each zone is a closed or relatively independent space; for example, a single room can be considered one zone, and a corridor another.

[0044] The building structure and building material information are transferred to the simulation model, including: drawing the building model in the simulation software based on the building structure information, and inputting the building material information for each region. At each historical ambient temperature, the simulation duration is set, such as 24 hours, to ensure the building temperature reaches a stable state. After the simulation, the stable temperature (average of the last hour) for each region is extracted from the simulation software output. The temperatures of all regions corresponding to each ambient temperature are recorded, forming a mapping table of ambient temperature and region temperature, thus obtaining the first correspondence.

[0045] During the heat conduction simulation, the simulation model calculates the heat exchange between the target building and the outside environment in real time. After reaching a thermally stable state at each historical ambient temperature, the total heat exchange per unit time for each region corresponding to that temperature can be extracted. The regional heat exchange for each region constitutes the building's heat exchange. A mapping table is constructed by combining each ambient temperature and the regional heat exchange, resulting in a second correspondence. A positive value for the regional heat exchange indicates the absorption of heat from the outside, while a negative value indicates the release of heat to the outside.

[0046] This embodiment extracts historical extreme values ​​of ambient temperature and selects intermediate values ​​in the heat conduction simulation. Combined with the division of the building structure into regions, relevant information is input into the simulation model to obtain the first correspondence. This can comprehensively cover the range of ambient temperatures that the building may face. Furthermore, the regional division makes the temperature distribution simulation more accurate, providing more reliable basic data for subsequent temperature control and equipment installation, and improving the accuracy of the entire control method.

[0047] One possible implementation of this application embodiment involves determining the equipment installation information of a target building based on temperature regulation capability information and a first correspondence, including: Obtain the temperature adjustment time limit and the reference target temperature; The maximum temperature difference in the target area is determined based on the benchmark target temperature and the first correspondence. The target area is any area in the target building. Determine the regional spatial information of the target area from the building attribute information, and determine the total heat difference based on the maximum temperature difference and the regional spatial information; The total heat adjustment value per unit time is obtained by calculating the ratio of the total heat difference to the temperature adjustment time limit; Based on the temperature regulation capability information, the heat adjustment value per unit time of a single temperature regulation device is determined. The ratio of the total heat adjustment value to the heat adjustment value is calculated to obtain the number of devices in the target area. The number of devices in each area within the target building constitutes the device installation information.

[0048] In this embodiment, the reference target temperature is represented as the basic comfort temperature determined based on the building's usage scenario and comfort standards, for example, a reference target temperature of 26 degrees Celsius in summer. The temperature adjustment time limit refers to the maximum time required to adjust the temperature of the target building from the current temperature to the reference target temperature. The maximum temperature adjustment difference includes a positive maximum temperature adjustment difference and a negative maximum temperature adjustment difference. The positive maximum temperature adjustment difference represents the maximum temperature difference that needs to be adjusted when the temperature control equipment is in heating mode. It is calculated by selecting the minimum ambient temperature from the first correspondence and calculating the difference between the reference target temperature and the minimum ambient temperature. The negative maximum temperature adjustment difference represents the maximum temperature difference that needs to be adjusted when the temperature control equipment is in cooling mode. It is calculated by selecting the maximum ambient temperature from the first correspondence and calculating the difference between the maximum ambient temperature and the reference target temperature. The larger of the positive and negative maximum temperature adjustment differences is determined as the maximum temperature adjustment difference.

[0049] The regional spatial information represents the physical size of the target region, i.e., the region volume. The total heat difference represents the total heat required to adjust the air within the target region to the maximum temperature difference. The total heat difference Q = ρ × V × c × ΔT, where ρ is the air density, V is the target region volume, c is the specific heat capacity of the air, and ΔT is the total heat difference of the target region.

[0050] The total heat adjustment per unit time refers to the amount of heat required by the temperature control equipment per unit time to complete the temperature adjustment within a specified time limit; that is, the total power required for temperature control. The total heat adjustment per unit time is the energy change per unit time, P=Q / t, where P is the total heat adjustment per unit time, Q is the total heat difference in the target area, and t is the temperature control time limit. By using the ratio of the total heat difference (Q) to the temperature control time limit (t), the total energy demand can be converted into the power demand per unit time, directly corresponding to the power parameters of the temperature control equipment (such as the cooling / heating capacity of an air conditioner), facilitating equipment selection.

[0051] The temperature control capability information of a temperature control device is the heat adjustment value that a single device can provide per unit time (such as the rated cooling / heating capacity of an air conditioner). If the rated cooling capacity of the temperature control device equals the rated heating capacity, the larger value between the positive and negative maximum temperature adjustment differences is selected as the maximum temperature adjustment difference to determine the device installation information. If the rated cooling capacity of the temperature control device does not equal the rated heating capacity, both the positive and negative maximum temperature adjustment differences are used as the maximum temperature adjustment differences, and the corresponding temperature control capability information is retrieved (rated heating capacity is retrieved for the positive maximum temperature adjustment difference, and rated cooling capacity is retrieved for the negative maximum temperature adjustment difference) to determine the primary device installation information. The larger number of devices is then selected as the final device installation information.

[0052] Calculate the ratio of the total adjustment value to the heat adjustment value per unit time for a single temperature control device, and round the ratio up to obtain the number of devices in the target area.

[0053] This embodiment obtains the temperature adjustment time limit and the reference target temperature to determine the maximum temperature adjustment difference, the total heat difference, etc., and then calculates the number of devices. Based on the specific temperature adjustment needs and device capabilities, the number of devices to be installed is determined, avoiding the situation where insufficient devices cannot meet the temperature adjustment needs or excessive devices cause resource waste. This achieves a reasonable configuration of temperature adjustment devices and ensures the effectiveness and economy of temperature control.

[0054] One possible implementation of this application embodiment, determining the target temperature distribution based on historical pedestrian traffic information, includes: Based on historical pedestrian traffic information, predictable pedestrian traffic information for each area within the target building is determined. Based on the predicted pedestrian flow information and pedestrian flow level classification rules of the target area, the total prediction period is divided into multiple prediction periods, and the pedestrian flow level of the target area is determined in each prediction period. Obtain the target temperature corresponding to each traffic level. Based on the traffic level of the target area and the target temperature corresponding to each traffic level in each prediction period, determine the target temperature of the target area in the total prediction period. The target temperature of each area in the target building in the total prediction period constitutes the target temperature distribution.

[0055] In this embodiment, historical pedestrian flow information represents the change in the number of people in various areas of the target building over a past period. Based on historical pedestrian flow information, the number of people in each area is estimated for a future period to obtain predicted pedestrian flow information. The time period corresponding to the predicted pedestrian flow information is the total prediction time period. The number of people is divided into different levels, each level covering a pedestrian flow range. The pedestrian flow ranges of different levels do not overlap, and the pedestrian flow range of each level can cover the predicted pedestrian flow information. The pedestrian flow range corresponding to each level constitutes the pedestrian flow level division rule.

[0056] The predicted pedestrian flow information is integrated into a pedestrian flow change curve. The first point on the curve is designated as the first point, and the pedestrian flow level corresponding to the pedestrian flow range of the first point is determined (as the first pedestrian flow level). Starting from the first point, the curve is iterated to determine whether each point is within the first pedestrian flow level, until a point is no longer within the first pedestrian flow level. This point is designated as the second point, and the segment from the first point to the point before the second point is considered as a prediction period. This process is repeated to determine the pedestrian flow level corresponding to the pedestrian flow range of the second point (as the second pedestrian flow level), and so on, until a point is no longer within the second pedestrian flow level. This point is designated as the third point, and the segment from the second point to the point before the third point is considered as a prediction period. This process is repeated until the entire prediction period has been traversed.

[0057] Differences in pedestrian traffic lead to variations in heat dissipation from the human body (higher pedestrian traffic results in greater heat dissipation and a warmer environment), and human comfort perception of temperature also changes with pedestrian traffic (e.g., a preference for lower temperatures in crowded environments). The adjusted target temperature for each pedestrian traffic level can be pre-adjusted based on a baseline target temperature. Each pedestrian traffic level and its corresponding target temperature are pre-stored in an electronic device. The adjustment method for the target temperature corresponding to each pedestrian traffic level can be set according to actual needs; this embodiment is not limited. Optionally, the higher the pedestrian traffic, the lower the target temperature; for example, a medium pedestrian traffic level corresponds to a target temperature equal to the baseline target temperature.

[0058] The target temperature corresponding to each traffic level is matched to the traffic level of the target area in each prediction period. The target temperature of each prediction period constitutes the target temperature of the target area in the total prediction period.

[0059] This embodiment determines the predicted traffic flow based on historical traffic flow, divides the predicted time period and traffic flow level, and then determines the target temperature distribution based on the target temperature corresponding to the level. This allows the target temperature to be dynamically adjusted according to the traffic flow at different times, ensuring the comfort of people while avoiding unnecessary energy consumption and making the temperature control more in line with actual use scenarios.

[0060] One possible implementation of this application embodiment involves formulating an equipment control strategy for temperature regulation devices inside a target building based on the target temperature distribution, the predicted temperature distribution, and the second correspondence, including: Based on the target temperature distribution and the predicted temperature distribution, determine the regional temperature difference of the target area in each prediction period; Locate the passive temperature control equipment in the target area and determine whether the passive temperature control equipment can meet the temperature control requirements corresponding to the temperature difference in the area. If the passive temperature control equipment can meet the temperature control requirements, then turn on the passive temperature control equipment. If passive temperature control equipment cannot meet the temperature control requirements, then the equipment control strategy for the temperature control equipment inside the target building shall be formulated based on the regional temperature difference and the second correspondence.

[0061] In this embodiment, the regional temperature difference refers to the difference between the target temperature (from the target temperature distribution) and the predicted temperature (from the predicted temperature distribution) of the target area within the same prediction period. The calculation formula is: Regional temperature difference = Target temperature - Predicted temperature. If the difference is positive, it indicates that the temperature needs to be increased; if it is negative, it indicates that the temperature needs to be decreased. The target temperature is the desired temperature, and the predicted temperature is the temperature that may occur without regulation. The difference between the two directly reflects the magnitude and direction of temperature regulation required in the area during that period. For all areas within the target building, the regional temperature difference is calculated for each prediction period, forming a regional-prediction period-regional temperature difference comparison table.

[0062] Passive temperature control devices refer to devices that regulate temperature naturally without relying on active energy input (such as electricity), such as sunshades, ventilation windows, and thermal curtains. The temperature control requirement is determined by the temperature difference between areas; for example, if the temperature difference is -2℃, the control requirement is a 2℃ temperature reduction. Passive temperature control devices are energy-efficient and environmentally friendly; prioritizing their use for temperature regulation can reduce energy consumption. By assessing whether they can meet the control requirements, it can be determined whether to adopt a passive control method, reducing the use of active temperature control devices.

[0063] Identify the passive temperature control devices already installed within the target area and record their types and adjustment capabilities. For example, area A has operable ventilation windows (which can lower the room temperature by 1°C per hour) and sunshades (which can reduce the temperature rise caused by solar radiation by 0.5°C). Furthermore, the adjustment capability of the passive temperature control devices can be dynamically determined based on the ambient temperature. The adjustment capability of the passive temperature control devices under different ambient temperatures should be determined in advance through actual measurements or experiments. Under the current ambient temperature, evaluate the maximum adjustment capability of the passive temperature control devices. For example, when the ventilation windows and sunshades in area A work together, the maximum temperature reduction is 1.5°C per hour.

[0064] By combining the temperature adjustment time limit and the maximum adjustment capability of the passive temperature control equipment, we can identify whether the passive temperature control equipment can meet the temperature regulation requirements within the adjustment time limit. For example, if the passive temperature control equipment can reduce the temperature by a maximum of 1.5℃ per hour, and the adjustment time limit is 2 hours, then the temperature regulation effect that can be achieved within the adjustment time limit is 3℃. We then compare the maximum temperature regulation effect of the passive temperature control equipment within the adjustment time limit with the regulation requirements corresponding to the temperature difference in the area. If the temperature difference in area A is -4℃ (requiring a temperature reduction of 4℃), and the passive equipment can only reduce the temperature by a maximum of 3℃, then the requirement cannot be met; however, if the temperature difference in the area is -2℃, then the requirement can be met.

[0065] This embodiment first determines the regional temperature difference, prioritizes judging whether the passive temperature control equipment can meet the demand, and then formulates an active temperature control strategy when it cannot. It prioritizes the use of passive temperature control equipment, giving full play to its low energy consumption advantage, reducing the frequency of use of active temperature control equipment, reducing energy consumption, and at the same time, the active temperature control strategy ensures the temperature control effect when passive equipment cannot meet the demand.

[0066] One possible implementation of this application embodiment involves formulating an equipment control strategy for temperature regulation devices inside a target building based on regional temperature differences and a second correspondence, including: The estimated temperature control duration required to eliminate the regional temperature difference during the target prediction period, assuming all temperature control devices in the target area are operating at maximum power. The target prediction period is any prediction period. The execution time is defined as the moment before the start time of the target prediction period when the time difference between the start time and the start time is half of the estimated temperature adjustment duration, and the end time is defined as the moment after the start time when the time difference between the start time and the start time is half of the estimated temperature adjustment duration. The equipment operating power of the target area during the target prediction period is determined based on the second correspondence. At the execution time, all temperature control devices in the target area will operate at their maximum operating power, and at the end time, all temperature control devices in the target area will operate at their respective operating power.

[0067] In this embodiment, the maximum operating power represents the maximum power that the temperature control device can output, which is the upper limit of the device's temperature control capability. For example, the maximum operating power of an air conditioner is 1500W. The estimated temperature control time represents the time required to adjust the temperature of the target area from the predicted temperature to the target temperature when the temperature control device is running at its maximum operating power.

[0068] Determine the maximum operating power of the temperature control equipment within the target area and the corresponding heat adjustment value per unit time (e.g., when the maximum operating power of each air conditioner is 1500W, the heat adjustment value per unit time is 1500W). Calculate the total heat adjustment value per unit time for all temperature control equipment operating at maximum power.

[0069] Based on the area's spatial information (volume), air density, specific heat capacity, and temperature difference, the required heat adjustment corresponding to the temperature difference is calculated as: Area Volume × Air Density × Specific Heat Capacity × |Temperature Difference|. Since the target area continuously exchanges heat with the external environment during the adjustment process, the second correspondence represents the amount of heat exchanged between each area inside the building and the external environment per unit time when the ambient temperature is a certain value. Based on the current ambient temperature and the second correspondence, the corresponding heat exchange amount is determined. The sum of the required heat adjustment corresponding to the temperature difference and this heat exchange amount is calculated as the total heat to be adjusted. Estimated temperature adjustment duration = Total heat / Total heat adjustment per unit time.

[0070] The temperature adjustment process is divided into two estimated temperature adjustment durations, one before and one after the target prediction period. At the execution time, the maximum power operation is started to maximize the efficiency of bringing the temperature of the target area close to the target temperature. Then, at the end time, the power is switched to stable operation to ensure that the temperature is stable during the target prediction period.

[0071] This embodiment determines the estimated temperature adjustment duration, sets the execution and end times, determines the equipment operating power and adjusts it according to the time, and starts the equipment with the maximum operating power in advance, which can quickly eliminate temperature differences and ensure that the target temperature is reached during the target time period. After that, it switches to stable power operation, which not only ensures the timeliness and stability of temperature control, but also avoids excessive energy consumption.

[0072] One possible implementation of this application embodiment, determining the equipment operating power of a target area during a target prediction period based on a second correspondence relationship, includes: Obtain the heat adjustment value per unit time for a single temperature control device. The heat adjustment value represents the temperature control effect that the temperature control device can achieve when operating at its maximum power. The amount of heat energy exchanged per unit time in the target area is determined based on the second correspondence. Based on the number of devices, heat adjustment value, and heat exchange volume within the target area, determine the operating power of each temperature-regulating device within the target area.

[0073] In this embodiment, the second correspondence reflects the relationship between the heat exchange between the region and the outside world. The heat exchange between the region and the outside world will affect the temperature of the region. The equipment needs to offset this exchange during operation to maintain the target temperature. When the temperature of the target region reaches the target temperature at the end time, the heat exchange between the target region and the external environment needs to be offset to maintain stability. In order to maintain the temperature balance of the target region, the temperature control equipment is turned on, but the operating power is reduced to maintain temperature stability.

[0074] The total heat adjustment value per unit time is obtained by multiplying the heat adjustment value of a single temperature control device per unit time by the number of devices. The corresponding heat exchange rate is determined based on the current ambient temperature and a second correspondence. The ratio of the heat exchange rate to the total heat adjustment value per unit time is used as the power adjustment ratio. The rated operating power of the temperature control device is calculated by multiplying it by the power adjustment ratio to obtain the device's operating power. After the end time, all temperature control devices within the target area are controlled to operate at their respective operating power.

[0075] This embodiment obtains the heat adjustment value of a single device, combines the heat exchange volume and the number of devices to determine the operating power, and accurately sets the operating power according to the actual heat exchange demand and device capacity, so that the energy output of the temperature control device matches the actual demand, further improving energy utilization efficiency, while ensuring the temperature stability of the target area.

[0076] This application provides an electronic device, such as... Figure 2 As shown, Figure 2 The illustrated electronic device 200 includes a processor 201 and a memory 203. The processor 201 and the memory 203 are connected, for example, via a bus 202. Optionally, the electronic device 200 may also include a transceiver 204. It should be noted that in practical applications, the transceiver 204 is not limited to one type, and the structure of this electronic device 200 does not constitute a limitation on the embodiments of this application.

[0077] Processor 201 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 201 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0078] Bus 202 may include a pathway for transmitting information between the aforementioned components. Bus 202 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 202 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 2 The symbol is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0079] The memory 203 may be a ROM (Read Only Memory) or other type of static storage device capable of storing static information and instructions, RAM (Random Access Memory) or other type of dynamic storage device capable of storing information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0080] The memory 203 stores the application code that executes the solution of this application, and its execution is controlled by the processor 201. The processor 201 executes the application code stored in the memory 203 to implement the content shown in the aforementioned embodiment of the adaptive control method for regulating the interior temperature of a building.

[0081] Figure 2 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0082] This application provides a computer-readable storage medium storing a computer program that, when run on a computer, enables the computer to execute the content shown in the aforementioned adaptive control method for regulating the interior temperature of a building.

[0083] It should be understood that although the steps in the flowcharts of the accompanying figures are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the accompanying figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0084] This application provides a computer program product, including a computer program, which, when executed by a processor, implements the content shown in the aforementioned adaptive control method for regulating the internal temperature of a building.

[0085] The above are only some embodiments of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. An adaptive control method for regulating building interior temperature, characterized in that, include: Historical ambient temperature data and building attribute information of the target building are acquired. Based on the historical ambient temperature data and building attribute information, heat conduction simulation is performed to obtain a first correspondence between ambient temperature and building temperature distribution and a second correspondence between ambient temperature and building heat energy exchange. Obtain the temperature regulation capability information of the temperature regulation equipment, and determine the equipment installation information of the target building based on the temperature regulation capability information and the first correspondence relationship, so as to instruct the installers to install the temperature regulation equipment inside the target building according to the equipment installation information; Obtain historical pedestrian traffic information for the target building, and determine the target temperature distribution based on the historical pedestrian traffic information; Obtain predicted environmental information, and determine the predicted temperature distribution of the target building based on the predicted environmental information and the first correspondence relationship; Based on the target temperature distribution, the predicted temperature distribution, and the second correspondence, an equipment control strategy for the temperature control equipment inside the target building is formulated.

2. The adaptive control method for regulating building interior temperature according to claim 1, characterized in that, The step of formulating an equipment control strategy for the temperature control equipment inside the target building based on the target temperature distribution, the predicted temperature distribution, and the second correspondence includes: Based on the target temperature distribution and the predicted temperature distribution, the regional temperature difference of the target area in each predicted time period is determined; Locate the passive temperature control device in the target area and determine whether the passive temperature control device can meet the temperature control requirements corresponding to the temperature difference in the area. If the passive temperature control device can meet the temperature control requirements, then the passive temperature control device is turned on. If the passive temperature control device cannot meet the temperature control requirements, then a device control strategy for the temperature control device inside the target building is formulated based on the regional temperature difference and the second correspondence.

3. The adaptive control method for regulating building interior temperature according to claim 2, characterized in that, The method for formulating the equipment control strategy for the temperature control equipment inside the target building based on the regional temperature difference and the second correspondence includes: The estimated temperature control duration used to eliminate the regional temperature difference during the target prediction period, assuming all temperature control devices in the target area are operating at maximum power, is defined as any prediction period. The execution time is defined as the moment before the start time of the target prediction period when the time difference between the start time and the start time is half of the estimated temperature adjustment duration, and the end time is defined as the moment after the start time when the time difference between the start time and the start time is half of the estimated temperature adjustment duration. The operating power of the equipment in the target area during the target prediction period is determined based on the second correspondence. At the execution time, all temperature-regulating devices in the target area are operated at the maximum operating power, and at the end time, all temperature-regulating devices in the target area are operated at the device operating power.

4. The adaptive control method for regulating building interior temperature according to claim 3, characterized in that, Determining the equipment operating power of the target area during the target prediction period based on the second correspondence includes: Obtain the heat adjustment value per unit time for a single temperature control device, wherein the heat adjustment value represents the temperature control effect that the temperature control device can achieve when operating at its maximum power. The amount of heat energy exchanged per unit time in the target area is determined based on the second correspondence. Based on the number of devices in the target area, the heat adjustment value, and the heat exchange rate, the operating power of each temperature-regulating device in the target area is determined.

5. The adaptive control method for regulating building interior temperature according to claim 1, characterized in that, The building attribute information includes building structure information and building material information; The heat conduction simulation based on the historical ambient temperature data and the building attribute information, to obtain the first correspondence between ambient temperature and building temperature distribution, includes: Extract the minimum and maximum historical ambient temperatures from the historical ambient temperature data, and select multiple historical ambient temperatures between the minimum and maximum historical ambient temperatures. The target building is divided into multiple areas based on the building structure information; The building structure information and the building material information are transmitted to the simulation model; The simulation model is run at each historical ambient temperature to obtain the building temperature distribution of the target building output by the simulation model. The building temperature distributions output by the simulation model corresponding to each of the multiple historical ambient temperatures constitute the first correspondence relationship. The building temperature distribution includes the regional temperature of each area in the target building.

6. The adaptive control method for regulating building interior temperature according to claim 1, characterized in that, The step of determining the equipment installation information of the target building based on the temperature regulation capability information and the first correspondence includes: Obtain the temperature adjustment time limit and the reference target temperature; The maximum temperature difference of the target area is determined based on the benchmark target temperature and the first correspondence, wherein the target area is any area in the target building; The regional spatial information of the target area is determined from the building attribute information, and the total heat difference is determined based on the maximum temperature difference and the regional spatial information; The ratio of the total heat difference to the temperature adjustment time limit is calculated to obtain the total heat adjustment value per unit time; Based on the temperature control capability information, the heat adjustment value per unit time of a single temperature control device is determined, and the ratio of the total heat adjustment value to the heat adjustment value is calculated to obtain the number of devices in the target area. The number of devices in each area within the target building constitutes the device installation information.

7. The adaptive control method for regulating building interior temperature according to claim 1, characterized in that, Determining the target temperature distribution based on the historical pedestrian flow information includes: Based on the historical pedestrian flow information, the predicted pedestrian flow information for each area within the target building is determined. Based on the predicted pedestrian flow information and pedestrian flow level classification rules of the target area, the total prediction period is divided into multiple prediction periods, and the pedestrian flow level of the target area in each prediction period is determined. The target temperature corresponding to each traffic level is obtained. Based on the traffic level of the target area and the target temperature corresponding to each traffic level in each prediction period, the target temperature of the target area in the total prediction period is determined. The target temperature distribution is formed by the target temperature of each area in the target building in the total prediction period.

8. An electronic device, characterized in that, include: At least one processor; Memory; At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, said at least one application being configured to: perform the adaptive control method for regulating the interior temperature of a building as described in any one of claims 1-7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed in the computer, the computer is instructed to perform the adaptive control method for regulating the interior temperature of a building as described in any one of claims 1-7.

10. A computer program product, characterized in that, The method includes a computer program that, when executed by a processor, implements the steps of the adaptive control method for regulating the interior temperature of a building as described in any one of claims 1-7.

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