Building management method, electronic device, and readable storage medium

Abstract

This invention provides a building management method, an electronic device, and a readable storage medium. The building management method includes: in response to detecting a person entering a building, acquiring weight information of each of a plurality of devices associated with the person; determining a control strategy for controlling at least one of the plurality of devices based on the acquired weight information; and controlling the at least one device according to the determined control strategy. This invention determines which devices to activate based on the weight information of multiple devices associated with a person entering the building. This not only prepares office conditions for the person in advance, improving the work experience, but also avoids energy waste caused by automatically activating numerous devices, reducing the building's energy consumption.

Description

Technical Field

[0001] This invention relates to the field of building intelligent management technology, and in particular to a building management method, electronic device, and readable storage medium. Background Technology

[0002] Building energy efficiency management can centrally monitor and manage the energy usage of building power distribution, lighting, elevators, air conditioning, heating, water supply and drainage, etc. It can also analyze the relationship between equipment operation database and energy consumption, perform data mining, regularly evaluate the energy consumption performance of equipment and make improvements, so that energy-consuming equipment and systems in various buildings can operate efficiently under different working conditions and achieve the goal of energy saving.

[0003] The establishment of an energy monitoring system can not only improve the efficiency of equipment in buildings but also reduce investment in buildings, thereby lowering overall operating costs. Currently, after buildings are completed, building operators use methods such as manual inspections and timed switching of equipment to shut down energy-consuming devices, achieving energy conservation and consumption reduction. However, traditional methods of monitoring building energy consumption still require significant manual intervention, and the energy-saving measures are not granular enough to achieve optimal energy efficiency. Furthermore, these measures cannot be intelligently and in real-time adapted to changes in time and office workers, which to some extent reduces the job satisfaction of office staff.

[0004] Against the backdrop of promoting "new infrastructure," the deep integration of advanced technologies such as artificial intelligence and the Internet of Things with infrastructure has brought tremendous opportunities for the development and application of smart buildings. With the booming development of the building economy, smart buildings are increasingly becoming an important component of China's smart city construction and a future trend in the construction industry. How to reduce energy consumption of building equipment while regulating its operation based on smart building technology to provide users with a better office experience has become a key research focus.

[0005] In view of this, the present invention is hereby proposed. Summary of the Invention

[0006] The technical problem to be solved by the present invention is to overcome at least some of the shortcomings of the prior art and provide a building management method. The method aims to determine the control strategy of which devices to start based on the weight information of multiple devices associated with people entering the building, which can improve the office experience of employees and reduce the energy consumption of building equipment.

[0007] To solve the above-mentioned technical problems, a first aspect of the present invention is to provide a building management method, comprising:

[0008] In response to the detection of a person entering a building, the weight information of each of the multiple devices associated with the person is obtained;

[0009] Based on the acquired weight information, a control strategy for controlling at least one of the plurality of devices is determined; and

[0010] The at least one device is controlled according to the determined control strategy.

[0011] In some implementations, the step of obtaining weight information for each of a plurality of devices associated with the person includes:

[0012] Determine the authentication information of the person; and

[0013] Based on the authentication information, the system retrieves the multiple devices corresponding to the authentication information and the weight information of each of the multiple devices from a pre-constructed relation matrix.

[0014] In some implementations, the relation matrix is ​​constructed in the following manner:

[0015] Data associated with the people is collected based on the digital twin model of the building;

[0016] Based on the collected data, determine the multiple influencing factors affecting the weight information of each device and the weight ratio of each influencing factor;

[0017] The weight information for each device is determined based on the identified multiple influencing factors and the weight ratio of each factor; and

[0018] The relationship matrix is ​​constructed based on the determined weight information of each device.

[0019] In some implementations, the multiple influencing factors include the usage time and energy consumption of each device; and the location and activity area of ​​the personnel.

[0020] In some embodiments, prior to the step of controlling the at least one device according to the determined control strategy, the building management method further includes:

[0021] Based on the digital twin model of the building, the real-time location of the personnel within the building and the location of each of the multiple devices are obtained;

[0022] Predict the walking trajectory of the person within the building based on the real-time location and the location of each of the plurality of devices; and

[0023] The control strategy is adjusted based on the predicted walking trajectory.

[0024] In some implementations, prior to the step of obtaining weight information for each of a plurality of devices associated with the person, the building management method further includes:

[0025] It was determined that no preset IoT rule corresponding to the person was found.

[0026] In some embodiments, after the step of controlling the at least one device according to the determined control strategy, the building management method further includes:

[0027] In response to determining that the person has left the building, control the equipment started by the person to shut down or adjust the equipment operating parameters.

[0028] In some implementations, the step of determining that the person has left the building includes:

[0029] Based on the digital twin model of the building, the activity areas of the personnel within the building are tracked in real time to determine when the personnel leave the building.

[0030] A second aspect of the present invention is to provide an electronic device comprising:

[0031] Processor; and

[0032] The memory is communicatively connected to the processor.

[0033] The memory stores a program that can be executed by a processor. When the program is executed by the processor, the processor can perform the building management method described above.

[0034] A third aspect of the present invention is to provide a readable storage medium storing a computer program that, when executed by a processor, implements the building management method described above.

[0035] By adopting the above technical solution, the present invention has the following beneficial effects compared with the prior art.

[0036] 1. The present invention determines a control strategy for which devices to start based on the weight information of multiple devices associated with personnel entering the building. This not only prepares office conditions for the personnel in advance and improves the work experience of the staff, but also avoids energy waste caused by automatically starting many devices and reduces the energy consumption of the building's equipment.

[0037] 2. This invention collects a large amount of data on staff entering a building based on a digital twin model of the building, thereby constructing a relationship matrix between the staff and the equipment. The relationship matrix can also be updated regularly to improve the accuracy and effectiveness of the control strategy.

[0038] 3. This invention predicts the walking trajectory of people in a building based on a digital twin model of the building, and adjusts the control strategy of the equipment based on the walking trajectory, thereby further improving the office experience of the staff.

[0039] 4. This invention can achieve automatic association between personnel and equipment to reduce energy consumption, improve building energy utilization efficiency, reduce environmental pollution, and save energy costs. Attached Figure Description

[0040] The accompanying drawings, as part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments and descriptions of the invention are used to explain the invention, but do not constitute an undue limitation of the invention. Obviously, the drawings described below are merely some embodiments, and those skilled in the art can obtain other drawings based on these drawings without creative effort. In the drawings:

[0041] Figure 1 This is a flowchart illustrating a building management method according to an exemplary embodiment of the present invention;

[0042] Figure 2 This is a flowchart illustrating step S110 according to an exemplary embodiment of the present invention;

[0043] Figure 3 This is a schematic diagram of the process of constructing a relation matrix according to an exemplary embodiment of the present invention;

[0044] Figure 4 This is a schematic diagram of the architecture of a relation matrix according to an exemplary embodiment of the present invention;

[0045] Figure 5 This is a flowchart illustrating step S120 according to an exemplary embodiment of the present invention;

[0046] Figure 6 This is a schematic diagram of the structure of an electronic device provided according to an exemplary embodiment of the present invention.

[0047] In the diagram: 600, electronic device; 601, processor; 602, memory; 603, bus; 604, communication interface.

[0048] It should be noted that these accompanying drawings and textual descriptions are not intended to limit the scope of the invention in any way, but rather to illustrate the concept of the invention to those skilled in the art by referring to specific embodiments. Detailed Implementation

[0049] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments will be clearly and completely described below with reference to the accompanying drawings. The following embodiments are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0050] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other. Furthermore, unless explicitly limited or contradicted by the context, the specific steps included in the methods described in this invention are not limited to the order in which they are described, but can be performed in any order or in parallel.

[0051] Currently, a single person within a building may have multiple office areas, each equipped with corresponding air conditioning, lighting, or underfloor heating. Therefore, the multiple devices associated with that person may be distributed across different locations within the building. If all the associated devices are activated upon detecting a person's entry into the building, this not only wastes energy but also increases building operating costs. Based on this, an exemplary embodiment of the present invention provides a building management method, comprising: in response to detecting a person's entry into the building, acquiring weight information of each of a plurality of devices associated with the person; determining a control strategy for controlling at least one of the devices based on the acquired weight information; and controlling the at least one device according to the determined control strategy. Through this solution, the present invention determines which devices to activate based on the weight information of the multiple devices associated with a person entering the building. This not only prepares office conditions for the person in advance, improving the work experience for employees, but also avoids energy waste caused by automatically activating numerous devices, reducing building energy consumption and achieving energy conservation and emission reduction.

[0052] Figure 1 The flowchart of a building management method 100 according to an exemplary embodiment of the present invention is shown.

[0053] like Figure 1 As shown, the implementation of building management method 100 includes the following steps:

[0054] S110. In response to detecting that a person has entered the building, obtain the weight information of each of the multiple devices associated with the person;

[0055] S120. Based on the acquired weight information, determine a control strategy for controlling at least one of the plurality of devices; and

[0056] S130. Control the at least one device according to the determined control strategy.

[0057] It should be understood that the steps shown in building management method 100 are not exclusive, and building management method 100 may also include additional steps not shown and / or the steps shown may be omitted; the scope of the invention is not limited in this respect. Referring below... Figures 1 to 5 The steps S110 to S130 above are described in detail.

[0058] S110

[0059] Once a person enters the building, the entity implementing the building management method 100 can identify that person has entered the building. For example, it can obtain a signal of a person entering the building through the access control system installed at each entrance and exit of the building, or obtain a signal by performing facial recognition on images captured by image acquisition units installed in corridors or elevator lobbies, thereby identifying that the person has entered the building.

[0060] It is understandable that by establishing a personnel information database in advance and storing personnel information data of the people in the building, the entity implementing the building management method can identify personnel entering the building.

[0061] In step S110, when a person is detected entering the building, the weight information of each of the multiple devices associated with the person is obtained.

[0062] In some implementations, such as Figure 2 As shown, the step of obtaining the weight information of each of the multiple devices associated with the person includes:

[0063] S111, Determine the authentication information of the person; and

[0064] S112. Based on the authentication information, retrieve the multiple devices corresponding to the authentication information and the weight information of each of the multiple devices from the pre-constructed relation matrix.

[0065] Specifically, in step S111, the authentication information of the personnel is determined based on a pre-established personnel information database. Authentication information includes, for example, name, employee ID, and permission level. Then, in step S112, based on the authentication information such as name, employee ID, and permission level, multiple devices corresponding to the authentication information, such as air conditioners, lighting, and underfloor heating, as well as the weight information of each of these devices, are retrieved from a pre-constructed relation matrix.

[0066] In some implementations, the relation matrix in step S112 can be obtained through the steps shown in method 200.

[0067] like Figure 3 The execution of method 200 includes the following steps:

[0068] S210. Collect data associated with the personnel based on the digital twin model of the building;

[0069] S220. Based on the collected data, determine the multiple influencing factors affecting the weight information of each device and the weight ratio of each influencing factor;

[0070] S230. Determine the weight information of each device based on the identified multiple influencing factors and the weight ratio of each influencing factor; and

[0071] S240. Construct the relationship matrix based on the determined weight information of each device.

[0072] Specifically, the digital twin model in step S210 refers to the digital representation of a physical object in virtual space, that is, creating a virtual model of the physical object in a digital way to simulate its behavioral characteristics in the real environment. It is an integrated system of data, models, and analysis tools applied throughout the entire product lifecycle. This integrated system collects data on equipment energy consumption and personnel location within the building by communicating with sensors and detection devices installed in the building. Based on this, in the embodiments of the present invention, the entity executing the building management method can access the digital twin model of the building and collect the aforementioned data associated with the personnel based on the digital twin model of the building.

[0073] When the collected data reaches a sufficient amount to support the training samples for artificial intelligence, the collected data is used to train the artificial intelligence model. This allows for the determination, in step S220, of multiple influencing factors affecting the weight information of each device and the weight ratio of each factor. For example, these multiple influencing factors include, but are not limited to, the usage time and energy consumption of each device; and the location and activity area of ​​the personnel.

[0074] After determining the multiple influencing factors affecting the weight information of each device and the weight ratio of each influencing factor in step S220, the weight information of each device is determined in step S230 based on the determined data. As an example, the weight information of each device is determined by weighting the weight ratios of the multiple influencing factors.

[0075] As an example, after normalizing the data of the multiple influencing factors determined in step S220, the normalized results of these data can be obtained respectively. For example, the usage time T and energy consumption E of each device; the location L and activity area Q of the personnel; and the weight ratios of the above influencing factors are a, b, c, and d. Then, in step S230, the weight information ε of each device can be obtained according to the formula shown in equation ① below.

[0076] ε=aT+bE+cL+dQ ①

[0077] It should be noted that the above linear expression is merely an illustrative example, and all other weighted methods that can implement the technical solution of this invention are within the protection scope of this invention.

[0078] After determining the weighting information of each device in step S230, the relationship matrix is ​​constructed in step S240 based on the determined weighting information of each device.

[0079] It should be noted that the steps shown in method 200 above can determine the relationship matrix of multiple people within the building. For example... Figure 4 As shown, the relationship matrix can include permission information for multiple individuals and their associated devices.

[0080] Furthermore, the distribution of people and equipment within a building may change over time; therefore, the relationship matrix needs to be updated regularly to ensure the accuracy and effectiveness of the control strategy.

[0081] In some implementations, in step S110, when a person is detected entering a building, a further search can be conducted to determine if a custom IoT rule corresponds to that person. If no custom IoT rule corresponding to the person is found, the weight information of each of the multiple devices associated with the person is obtained. If a custom IoT rule corresponding to the person is found, the corresponding device is directly switched on or off according to the IoT rule.

[0082] S120

[0083] After obtaining the weight information of each of the multiple devices associated with the person entering the building in step S110, in step S120, a control strategy for controlling at least one of the multiple devices is determined based on the obtained weight information. The instructions in the control strategy may include operations such as turning on, turning off, or adjusting device parameters.

[0084] In some implementations, such as Figure 5 As shown, step S120 includes:

[0085] S121. Obtain the current operating status of the plurality of devices;

[0086] S122. Determine the control strategy by combining the operating status and the weight information.

[0087] Specifically, in step S121, the operating states of multiple devices can be obtained based on the building's digital twin model, such as startup, shutdown, low-power operation, or high-power operation. In step S122, a control strategy is determined by combining the current operating states and weight information of the devices. For example, in step S122, when a device with a higher weight is in a shutdown state and a device with a lower weight is in a startup state, a control strategy can be determined to start the device with the higher weight and shut down the device with the lower weight. When a device with a higher weight is in a low-power operation state and a device with a lower weight is in a high-power operation state, a control strategy can be determined to control the device with the higher weight to operate at high power and control the device with the lower weight to operate at low power.

[0088] In the above scheme, a device with a higher weight means that the person entering the building is highly likely to use that device. A device with a lower weight means that the person entering the building is highly unlikely to use that device.

[0089] However, the control strategy in step S122 is predetermined after personnel are detected entering the building. However, the equipment in the actual activity area after personnel enter the building may be different from the equipment determined above.

[0090] Based on this, in some embodiments of the present invention, after determining the control strategy in step S122, the building management method further includes the following steps:

[0091] S123. Based on the digital twin model of the building, obtain the real-time location of the person in the building and the location of each of the multiple devices;

[0092] S124. Predict the walking trajectory of the person within the building based on the real-time location and the location of each of the plurality of devices; and

[0093] S125. Adjust the control strategy based on the predicted walking trajectory.

[0094] Specifically, in step S123, the execution entity of the building management method 100 accesses the digital twin model of the building to obtain the real-time location of the person in the building and the location of each of the multiple devices associated with the person. In step S124, the person's walking trajectory in the building is predicted based on the real-time location and the location of each of the multiple devices. In step S125, the control strategy is adjusted based on the predicted walking trajectory.

[0095] As an example, although the control strategy for controlling the device is determined in step S122 by combining the device's operating status and the weight information of each device, if the device corresponding to the walking trajectory predicted based on the real-time location of the person obtained in step S123 is significantly different from the device pointed to by the control command in the above control strategy, even though the weight of the device corresponding to the walking trajectory is lower than the weight of the device pointed to by the above control command, the control command in the control strategy should be adjusted to target the device corresponding to the walking trajectory in step S125, so as to provide the person with a more comfortable and intelligent office environment.

[0096] S130

[0097] After the control strategy is determined in step S120, in step S130, the at least one device is controlled according to the determined control strategy.

[0098] In some embodiments of the present invention, personnel with different access levels may have different office spaces within a building. Therefore, the equipment corresponding to a person entering the building can be controlled according to their access level. For example, a Level 1 access person may have a private office. When the person enters the building, their office air conditioning, lighting, and underfloor heating will be pre-activated. Upon entering the corresponding floor, the pre-activated equipment will be activated one by one, saving energy while pre-cooling and pre-heating the room, thus improving the person's well-being. A Level 2 access person is considered a staff member in the public office area. The system will check the energy consumption information of the corresponding public office area equipment. If the equipment is on, it will remain on; otherwise, the corresponding equipment will be stored in the pre-activated database, ready to be activated directly upon the person entering the corresponding floor.

[0099] In some implementations, after step S130, the building management method 100 further includes: in response to determining that the person has left the building, controlling the device started by the person to shut down or adjusting the device operating parameters to reduce energy consumption.

[0100] As an example, the steps described above for determining that the person has left the building include: tracking the person's activity area within the building in real time based on a digital twin model of the building, in order to determine that the person has left the building.

[0101] Specifically, the entity implementing building management method 100 accesses the building's digital twin model to monitor the person's activity area within the building in real time. If, within a certain timeframe, the building's digital twin model does not detect the person's activity within the building, it is assumed that the person has left the building. In this case, devices initiated by that person can be shut down or their operating parameters adjusted.

[0102] It's acceptable. After receiving a signal from the access control system that a person has left the building, the system can then verify the authenticity of the person's departure based on the building's digital twin model.

[0103] The above solution can automatically shut down the relevant equipment when people leave the building, further reducing building energy consumption and achieving the goal of energy conservation and emission reduction.

[0104] In some implementations, the entity executing the building management method will monitor and analyze energy consumption and effectiveness in real time based on the implemented control strategy. If the control strategy is found to be ineffective or a better alternative exists, the control strategy will be adjusted to optimize the control effect.

[0105] In some implementations, the entity carrying out the building management method will provide building managers with regular reports and analyses, including energy consumption data, the effectiveness of control strategies, and abnormal alarms. Through this data and analysis, managers can understand the building's energy consumption status, identify potential problems, and take measures to improve it.

[0106] Figure 6 The structure of an electronic device 600 according to an exemplary embodiment of the present invention is shown. The electronic device 600 is, for example, the execution subject of the building management method 100 described above.

[0107] like Figure 6 As shown, the electronic device 600 includes a processor 601 and a memory 602 communicatively connected to the processor 601. The memory 602 is used to store one or more computer programs, which are executed by the processor 601 to implement the above-mentioned building management method.

[0108] Figure 6 The electronic device 600 shown also includes a bus 603 and a communication interface 604. The processor 601, the communication interface 604 and the memory 602 are connected through the bus 603.

[0109] The memory 602 may include high-speed random access memory (RAM), or it may also include non-volatile memory 602, such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 604 (which can be wired or wireless), such as the Internet, wide area network, local area network, metropolitan area network, etc. The bus 603 may be an ISA bus, PCI bus, or EISA bus, etc. The bus 603 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 6The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus 603 or one type of bus 603.

[0110] Processor 601 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 601 or by instructions in software form. The processor 601 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor can be a microprocessor, or processor 601 can be any conventional processor. The steps of the methods disclosed in the embodiments of this invention can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor. The software module can reside in a mature storage medium in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory 602. The processor 601 reads the information in memory 602 and, in conjunction with its hardware, completes the steps of the method described in the foregoing embodiments.

[0111] An exemplary embodiment of the present invention also provides a computer-readable storage medium storing a computer program. When the computer program is called and executed by the processor 601, the computer-executable instructions cause the processor 601 to implement the above-described building management method. For specific implementation details, please refer to the method embodiments, which will not be repeated here.

[0112] The building management method and electronic device 600 computer program product provided in the embodiments of the present invention include a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the methods in the preceding method embodiments. For specific implementation, please refer to the method embodiments, which will not be repeated here.

[0113] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the above-described device and / or electronic equipment can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0114] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-described technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A building management method characterized by comprising: include: In response to the detection of a person entering a building, the weight information of each of the multiple devices associated with the person is obtained; Based on the obtained weight information, a control strategy for controlling at least one of the plurality of devices is determined; as well as Control the at least one device according to the determined control strategy; The step of obtaining weight information for each of the multiple devices associated with the person includes: Determine the authentication information of the person; and Based on the authentication information, retrieve the multiple devices corresponding to the authentication information and the weight information of each of the multiple devices from the pre-constructed relationship matrix; The relation matrix is ​​constructed in the following manner: Data associated with the people is collected based on the digital twin model of the building; Based on the collected data, multiple influencing factors affecting the weight information of each device and the weight ratio of each influencing factor are determined. The multiple influencing factors include the usage time and energy consumption of each device; and the location and activity area of ​​the personnel. Based on the identified multiple influencing factors and their respective weights, the weight information for each device is determined by weighting the factors according to their weights. The relationship matrix is ​​constructed based on the determined weight information of each device; The step of determining a control strategy for controlling at least one of the plurality of devices based on the obtained weight information includes: Obtain the current operating status of the multiple devices; The control strategy is determined by combining the operating state and the weight information, including: when the device with a larger weight is in a closed state and the device with a smaller weight is in a turned-on state, a control strategy is determined to control the device with a larger weight to start and control the device with a smaller weight to turn off; when the device with a larger weight is in a low-power operating state and the device with a smaller weight is in a high-power operating state, a control strategy is determined to control the device with a larger weight to operate at high power and control the device with a smaller weight to operate at low power. Based on the digital twin model of the building, the real-time location of the personnel within the building and the location of each of the multiple devices are obtained; Based on the real-time location and the location of each of the plurality of devices, the walking trajectory of the person in the building is predicted; The control strategy is adjusted based on the predicted walking trajectory; After the step of controlling the at least one device according to the determined control strategy, the building management method further includes: In response to determining that the person has left the building, control the equipment started by the person to shut down or adjust the equipment operating parameters.

2. The building management method according to claim 1, characterized in that, Before the step of controlling the at least one device according to the determined control strategy, the building management method further includes: Based on the digital twin model of the building, the real-time location of the personnel within the building and the location of each of the multiple devices are obtained; Predict the walking trajectory of the person within the building based on the real-time location and the location of each of the plurality of devices; and The control strategy is adjusted based on the predicted walking trajectory.

3. The building management method according to claim 1 or 2, characterized in that, Prior to the step of obtaining the weight information of each of the multiple devices associated with the person, the building management method further includes: It was determined that no preset IoT rule corresponding to the person was found.

4. The building management method according to claim 1 or 2, characterized in that, The steps to determine that the person has left the building include: Based on the digital twin model of the building, the activity areas of the personnel within the building are tracked in real time to determine when the personnel leave the building.

5. An electronic device, comprising: include: processor; as well as The memory is communicatively connected to the processor. The memory stores a program that can be executed by a processor. When the program is executed by the processor, the processor is able to execute the building management method according to any one of claims 1 to 4.

6. A readable storage medium characterized by, A computer program is stored on a readable storage medium, which, when executed by a processor, implements the building management method according to any one of claims 1 to 4.

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