Intelligent building energy consumption monitoring management method and system

Abstract

The invention is suitable for the technical field of intelligent buildings, and provides an intelligent building energy consumption monitoring management method and system, and the method comprises the following steps: collecting multi-source data which comprises attendance data of each company department and camera monitoring data; preprocessing the multi-source data, performing multi-source data fusion to obtain fusion information, and determining a user activity track in the intelligent building based on the fusion information; environment data is monitored, and a light control scheme and an air conditioner control scheme of the intelligent building are determined based on the environment data and the user activity track; and an elevator control scheme is generated according to the user activity track, wherein the elevator control scheme comprises elevator stopping floor control information and elevator state control information. Therefore, the light control scheme and the air conditioner control scheme are obtained according to the user movement tracks, and energy-saving control is carried out in areas with few users as much as possible. In addition, when the number of the users taking the elevator is reduced, part of the elevator is made to sleep through the elevator state control information, and therefore energy consumption is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent buildings, and in particular to an intelligent building energy consumption monitoring and management method and system. Background Art

[0002] With the acceleration of urbanization and the rapid development of the construction industry, the problem of building energy consumption has become increasingly prominent, becoming an important factor restricting the sustainable development of cities and the promotion of green buildings. Traditional building energy consumption management methods have many drawbacks, such as data islands, incomplete energy consumption monitoring, serious energy waste, and low management efficiency. At present, based on modern Internet of Things, big data, cloud computing and other advanced technologies, comprehensive and real-time monitoring and management of building energy consumption can be achieved. However, it is currently impossible to provide a good intelligent energy-saving control solution based on the activity trajectory of users in the building. Therefore, it is necessary to provide an intelligent building energy consumption monitoring and management method and system to solve the above problems. Summary of the invention

[0003] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a method and system for monitoring and managing energy consumption of an intelligent building, so as to solve the problems existing in the above-mentioned background technology.

[0004] The present invention is implemented in this way: a method for monitoring and managing energy consumption of an intelligent building, the method comprising the following steps:

[0005] Collect multi-source data, the multi-source data including attendance data of each company department and camera monitoring data, the attendance data of each company department including company department information, attendance time and location information;

[0006] Preprocess multi-source data, fuse multi-source data to obtain fusion information, and determine the user activity trajectory in the smart building based on the fusion information;

[0007] Monitor environmental data, including temperature and light intensity, and determine the lighting control scheme and air conditioning control scheme of the smart building based on the environmental data and user activity trajectory;

[0008] An elevator control scheme is generated according to the user activity trajectory, wherein the elevator control scheme includes elevator stop floor control information and elevator state control information.

[0009] As a further solution of the present invention: the step of preprocessing the multi-source data specifically includes:

[0010] Perform data cleaning to remove duplicate records, outliers, and records with missing key information in attendance data;

[0011] Unify the format of attendance data to ensure the consistency of time and location information. Location information needs to be converted into area divisions within the building;

[0012] Perform facial recognition on image frames in camera surveillance data to identify employees in the building; track employee movements through object tracking algorithms;

[0013] Perform location mapping to map the identified employee locations onto the floor plan of the building and convert them into area identification within the building.

[0014] As a further solution of the present invention: the step of fusing multi-source data to obtain fusion information and determining the user activity trajectory in the intelligent building based on the fusion information specifically includes:

[0015] Use weighted fusion algorithm to fuse multi-source data to obtain fusion information;

[0016] Convert the fused information into user activity trajectories, each of which should contain the user's location information at different time points in the building;

[0017] Optimize the generated trajectory, remove noise and outliers, ensure the continuity of the trajectory, and adjust the trajectory based on the building layout, channels and obstacles;

[0018] The user activity trajectory is displayed in a graphical way through the GIS system; the trajectory map can reflect the distribution of users in the building at any moment.

[0019] As a further solution of the present invention: the step of determining the lighting control scheme and air conditioning control scheme of the intelligent building based on the environmental data and the user activity trajectory specifically includes:

[0020] Determine a first area in the building where lights need to be turned on based on the light intensity, determine a second area in the building where users exist based on the user activity trajectory, and determine a lighting control plan based on the intersection of the first area and the second area;

[0021] A third area in the building where lights need to be turned on is determined based on the temperature, a fourth area in the building where users exist and the user density are determined based on the user activity trajectory, and an air conditioning control plan is determined based on the intersection of the third area and the fourth area and the user density.

[0022] As a further solution of the present invention: the step of generating an elevator control solution according to the user activity trajectory specifically includes:

[0023] Determine the user's floor transition data in the next time period based on the user's activity trajectory, and dynamically adjust the elevator stop floors based on the floor transition data;

[0024] The number of working elevators and dormant elevators is determined according to the number of users who jump to floors, and the elevator status control information is obtained.

[0025] Another object of the present invention is to provide an intelligent building energy consumption monitoring and management system, the system comprising:

[0026] A multi-source data acquisition module, used to collect multi-source data, wherein the multi-source data includes attendance data of each company department and camera monitoring data, wherein the attendance data of each company department includes company department information, attendance time and location information;

[0027] A multi-source data fusion module is used to pre-process multi-source data, fuse multi-source data to obtain fusion information, and determine the user activity trajectory in the intelligent building based on the fusion information;

[0028] A lighting and air conditioning control module is used to monitor environmental data, including temperature and light intensity, and determine the lighting and air conditioning control schemes of the smart building based on the environmental data and user activity trajectories;

[0029] The elevator operation control module is used to generate an elevator control plan according to the user activity trajectory, and the elevator control plan includes elevator stop floor control information and elevator status control information.

[0030] As a further solution of the present invention: the multi-source data fusion module includes:

[0031] Data cleaning unit, used to clean the data and remove duplicate records, abnormal values ​​and records with missing key information in the attendance data;

[0032] The consistency conversion unit is used to unify the format of attendance data and ensure the consistency of time and location information. The location information needs to be converted into area divisions within the building;

[0033] A face recognition unit is used to perform face recognition on image frames in camera surveillance data to identify employees in the building; and track the movement trajectory of employees through an object tracking algorithm;

[0034] The area identification unit is used for position mapping, mapping the identified employee location onto the floor plan of the building and converting it into an area identification within the building.

[0035] As a further solution of the present invention: the multi-source data fusion module further includes:

[0036] A fusion information unit, used for fusing multi-source data using a weighted fusion algorithm to obtain fusion information;

[0037] An activity trajectory conversion unit is used to convert the fusion information into a user activity trajectory, each trajectory of which should contain the location information of the user at different time points in the building;

[0038] Activity trajectory optimization unit, used to optimize the generated trajectory, remove noise and outliers, ensure the continuity of the trajectory, and adjust the trajectory based on the building layout, channels and obstacles;

[0039] The trajectory graphics unit is used to display the user activity trajectory in a graphical way through the GIS system; the trajectory map can reflect the distribution of users in the building at each moment.

[0040] As a further solution of the present invention: the lighting and air conditioning control module includes:

[0041] A lighting control unit, configured to determine a first area in the building where lights need to be turned on based on light intensity, determine a second area in the building where users exist based on user activity trajectories, and determine a lighting control scheme based on an intersection of the first area and the second area;

[0042] The air conditioning control unit is used to determine a third area in the building where lights need to be turned on based on temperature, determine a fourth area in the building where users exist and the user density based on user activity trajectories, and determine an air conditioning control plan based on the intersection of the third area and the fourth area and the user density.

[0043] As a further solution of the present invention: the elevator operation control module includes:

[0044] The elevator stop floor unit is used to determine the user's floor jump data in the next time period according to the user's activity trajectory, and dynamically adjust the elevator stop floor according to the floor jump data;

[0045] The elevator status control unit is used to determine the number of working elevators and the number of dormant elevators according to the number of users who jump to floors, and obtain elevator status control information.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] The present invention pre-processes multi-source data, fuses multi-source data to obtain fusion information, and determines the user activity trajectory in the intelligent building based on the fusion information; at the same time, it monitors environmental data, and determines the lighting control plan and air conditioning control plan of the intelligent building based on the environmental data and the user activity trajectory; and generates an elevator control plan based on the user activity trajectory, and the elevator control plan includes elevator stop floor control information and elevator status control information. In this way, the lighting control plan and the air conditioning control plan are obtained based on the user activity trajectory, and energy-saving control is performed as much as possible in areas with few users. In addition, when the number of users taking the elevator decreases, some elevators are put into sleep mode through the elevator status control information to reduce energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 The present invention is a flow chart of an intelligent building energy consumption monitoring and management method.

[0049] Figure 2 The present invention is a flowchart for preprocessing multi-source data in an intelligent building energy consumption monitoring and management method.

[0050] Figure 3 The present invention is a flow chart for determining the user activity trajectory in a smart building in a smart building energy consumption monitoring and management method.

[0051] Figure 4 The present invention is a flow chart for determining lighting control scheme and air conditioning control scheme in an intelligent building energy consumption monitoring and management method.

[0052] Figure 5 A flowchart for generating an elevator control scheme in an intelligent building energy consumption monitoring and management method.

[0053] Figure 6 The figure is a structural diagram of an intelligent building energy consumption monitoring and management system. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0055] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0056] like Figure 1 As shown, an embodiment of the present invention provides a method for monitoring and managing energy consumption of an intelligent building, the method comprising the following steps:

[0057] S100, collecting multi-source data, wherein the multi-source data includes attendance data of each company department and camera monitoring data, wherein the attendance data of each company department includes company department information, attendance time and location information;

[0058] S200, preprocessing the multi-source data, fusing the multi-source data to obtain fusion information, and determining the user activity trajectory in the intelligent building based on the fusion information;

[0059] S300, monitoring environmental data, where the environmental data includes temperature and light intensity, and determining a lighting control scheme and an air conditioning control scheme for the smart building based on the environmental data and user activity trajectories;

[0060] S400, generating an elevator control scheme according to the user activity trajectory, wherein the elevator control scheme includes elevator stop floor control information and elevator state control information.

[0061] It should be noted that, currently, based on modern Internet of Things, big data, cloud computing and other advanced technologies, comprehensive and real-time monitoring and management of building energy consumption can be achieved. However, it is currently impossible to provide a good smart energy-saving control solution based on the activity trajectory of users in the building. The embodiments of the present invention are intended to solve the above problem.

[0062] In the embodiment of the present invention, multi-source data will be collected first, and the multi-source data includes attendance data of each company department and camera monitoring data. Specifically, the attendance data of each company department includes company department information, attendance time and location information; then the multi-source data needs to be pre-processed so that the user, location and time are correlated with each other, and the multi-source data is fused to obtain fusion information. Based on the fusion information, the user activity trajectory in the intelligent building can be directly determined. At the same time, the environmental data will be monitored in real time. The environmental data includes temperature and light intensity, and each environmental data corresponds to location information. The lighting control scheme and air conditioning control scheme of the intelligent building are determined based on the environmental data and the user activity trajectory. In this way, the lighting control scheme and air conditioning control scheme are obtained according to the user activity trajectory, and energy-saving control is performed as much as possible in areas with few users. Finally, an elevator control scheme will be generated according to the user activity trajectory. The elevator control scheme includes elevator stop floor control information and elevator status control information, so that the elevator stop floor is the one with higher user demand, the load-bearing capacity is increased each time, the running distance is reduced, and the running efficiency is improved while saving energy; in addition, when the number of users taking the elevator decreases, some elevators are put into sleep mode through the elevator status control information to reduce energy consumption.

[0063] like Figure 2 As shown, as a preferred embodiment of the present invention, the step of preprocessing the multi-source data specifically includes:

[0064] S201, perform data cleaning to remove duplicate records, abnormal values, and records with missing key information in the attendance data;

[0065] S202, unify the format of attendance data to ensure the consistency of time and location information. The location information needs to be converted into area divisions within the building;

[0066] S203, performing face recognition on the image frames in the camera monitoring data to identify the employees in the building; and tracking the movement trajectory of the employees through an object tracking algorithm;

[0067] S204, performing position mapping, mapping the identified employee positions onto the floor plan of the building, and converting them into area identifiers within the building.

[0068] In the embodiment of the present invention, the attendance data will be preprocessed: data cleaning, removing duplicate records, abnormal values ​​(such as time errors, invalid locations, etc.) and records with missing key information (such as employee ID, department ID) in the attendance data; unifying the format of the attendance data to ensure the consistency and accuracy of information such as time and location. The time format should be converted into a unified time zone and time unit, and the location information may need to be converted into a coordinate system or regional division within the building. Each record in the attendance data is associated with the basic information of the employee (such as employee ID, name, department, etc.) to facilitate subsequent analysis. The camera monitoring data will also be preprocessed: first, the video stream captured by the camera is converted into image frames, or key frames are extracted using an existing video analysis system. Then, face recognition is performed on the image frames to identify the employees in the building. Then, an object tracking algorithm or a behavior analysis algorithm is used to track the movement trajectory of the employees. Finally, the identified employee positions are mapped to the floor plan of the building and converted into coordinates or regional identifiers within the building.

[0069] like Figure 3 As shown, as a preferred embodiment of the present invention, the step of fusing multi-source data to obtain fusion information and determining the user activity trajectory in the intelligent building based on the fusion information specifically includes:

[0070] S205, using a weighted fusion algorithm to fuse multi-source data to obtain fusion information;

[0071] S206, converting the fused information into user activity trajectories, each of which should include the location information of the user at different time points in the building;

[0072] S207, optimizing the generated trajectory, removing noise and abnormal points, ensuring the continuity of the trajectory, and adjusting the trajectory based on the layout, passages and obstacles of the building;

[0073] S208, displaying the user activity trajectory in a graphical manner through the GIS system; the trajectory map can reflect the distribution of users in the building at each moment.

[0074] In an embodiment of the present invention, a suitable fusion strategy will be selected according to business needs and data characteristics. For example, weighted fusion, Kalman filtering, particle filtering and other methods can be used to integrate information from different data sources. Combine the location information in the attendance data and the monitoring data to construct the user's activity trajectory in the building. Consider factors such as the employee's movement speed and residence time, and smooth the trajectory. Convert the fused data into the user's activity trajectory. Each trajectory should contain the user's location information at different time points in the building, and reflect the user's movement path and residence. Optimize the generated trajectory, remove noise and abnormal points, and ensure the continuity and rationality of the trajectory. Consider factors such as the layout, passages and obstacles of the building, and fine-tune the trajectory to make it more in line with the actual situation. Use a GIS system, a building management system or a visualization tool to display the user's activity trajectory in a graphical way. The trajectory map should be able to clearly reflect the distribution of users in the building at each moment.

[0075] like Figure 4 As shown, as a preferred embodiment of the present invention, the step of determining the lighting control scheme and air conditioning control scheme of the intelligent building based on the environmental data and the user activity trajectory specifically includes:

[0076] S301, determining a first area in the building where lights need to be turned on based on light intensity, determining a second area in the building where users exist based on user activity trajectories, and determining a lighting control solution based on the intersection of the first area and the second area;

[0077] S302, determining a third area in the building where lights need to be turned on based on the temperature, determining a fourth area in the building where users exist and the user density based on the user activity trajectory, and determining an air conditioning control plan based on the intersection of the third area and the fourth area and the user density.

[0078] In the embodiment of the present invention, the first area in the building where the lights need to be turned on is determined based on the light intensity. The light in the first area is weak. Then, the second area in the building where users exist is determined based on the user activity trajectory. The lighting control scheme is determined based on the intersection of the first area and the second area. Adequate lighting is maintained in areas where people are active, and lighting is reduced or turned off in areas where no one is. At the same time, the third area in the building where the lights need to be turned on is determined based on the temperature. The temperature in the third area is high or low. The fourth area in the building where users exist and the user density are determined based on the user activity trajectory. The air conditioning control scheme is determined based on the intersection of the third area and the fourth area, as well as the user density. The temperature is controlled to be appropriate in areas where people are active, and the air conditioning system is turned off in areas where no one is.

[0079] like Figure 5 As shown, as a preferred embodiment of the present invention, the step of generating an elevator control solution according to the user activity trajectory specifically includes:

[0080] S401, determining the floor jump data of the user in the next time period according to the user activity trajectory, and dynamically adjusting the elevator stop floors according to the floor jump data;

[0081] S402, determining the number of working elevators and the number of dormant elevators according to the number of users who jump to floors, and obtaining elevator status control information.

[0082] In the embodiment of the present invention, the floor jump data of the user in the next time period is determined according to the user activity trajectory, and the elevator stop floor is dynamically adjusted according to the floor jump data, so that the elevator stops at the floor with high user demand, increasing the load-bearing capacity each time, reducing the running distance, saving energy and improving the running efficiency. In addition, the number of working elevators and the number of dormant elevators are determined according to the number of users who jump to the floor, and the elevator state control information is obtained. When the number of users taking the elevator decreases, the energy consumption will be reduced.

[0083] like Figure 6 As shown, an embodiment of the present invention further provides an intelligent building energy consumption monitoring and management system, the system comprising:

[0084] A multi-source data collection module 100, for collecting multi-source data, wherein the multi-source data includes attendance data of each company department and camera monitoring data, wherein the attendance data of each company department includes company department information, attendance time and location information;

[0085] The multi-source data fusion module 200 is used to pre-process the multi-source data, fuse the multi-source data to obtain fusion information, and determine the user activity trajectory in the intelligent building based on the fusion information;

[0086] The lighting and air conditioning control module 300 is used to monitor environmental data, including temperature and light intensity, and determine the lighting control scheme and air conditioning control scheme of the smart building based on the environmental data and user activity trajectory;

[0087] The elevator operation control module 400 is used to generate an elevator control plan according to the user activity trajectory, and the elevator control plan includes elevator stop floor control information and elevator status control information.

[0088] As a preferred embodiment of the present invention, the multi-source data fusion module 200 includes:

[0089] Data cleaning unit, used to clean the data and remove duplicate records, abnormal values ​​and records with missing key information in the attendance data;

[0090] The consistency conversion unit is used to unify the format of attendance data and ensure the consistency of time and location information. The location information needs to be converted into area divisions within the building;

[0091] A face recognition unit is used to perform face recognition on image frames in camera surveillance data to identify employees in the building; and track the movement trajectory of employees through an object tracking algorithm;

[0092] The area identification unit is used for position mapping, mapping the identified employee location onto the floor plan of the building and converting it into an area identification within the building.

[0093] As a preferred embodiment of the present invention, the multi-source data fusion module 200 further includes:

[0094] A fusion information unit, used for fusing multi-source data using a weighted fusion algorithm to obtain fusion information;

[0095] An activity trajectory conversion unit is used to convert the fusion information into a user activity trajectory, each trajectory of which should contain the location information of the user at different time points in the building;

[0096] Activity trajectory optimization unit, used to optimize the generated trajectory, remove noise and outliers, ensure the continuity of the trajectory, and adjust the trajectory based on the building layout, channels and obstacles;

[0097] The trajectory graphics unit is used to display the user activity trajectory in a graphical way through the GIS system; the trajectory map can reflect the distribution of users in the building at each moment.

[0098] As a preferred embodiment of the present invention, the lighting and air conditioning control module 300 includes:

[0099] A lighting control unit, configured to determine a first area in the building where lights need to be turned on based on light intensity, determine a second area in the building where users exist based on user activity trajectories, and determine a lighting control scheme based on an intersection of the first area and the second area;

[0100] The air conditioning control unit is used to determine a third area in the building where lights need to be turned on based on temperature, determine a fourth area in the building where users exist and the user density based on user activity trajectories, and determine an air conditioning control plan based on the intersection of the third area and the fourth area and the user density.

[0101] As a preferred embodiment of the present invention, the elevator operation control module 400 includes:

[0102] The elevator stop floor unit is used to determine the user's floor jump data in the next time period according to the user's activity trajectory, and dynamically adjust the elevator stop floor according to the floor jump data;

[0103] The elevator status control unit is used to determine the number of working elevators and the number of dormant elevators according to the number of users who jump to floors, and obtain elevator status control information.

[0104] The above only describes in detail the preferred embodiments of the present invention, which is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0105] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0106] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0107] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the disclosure in the specification and examples. This application is intended to cover any variations, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present disclosure are indicated by the claims.

Claims

1. A method for monitoring and managing energy consumption of an intelligent building, characterized in that: The method comprises the following steps: Collect multi-source data, the multi-source data including attendance data of each company department and camera monitoring data, the attendance data of each company department including company department information, attendance time and location information; Preprocess multi-source data, fuse multi-source data to obtain fusion information, and determine the user activity trajectory in the smart building based on the fusion information; Monitor environmental data, including temperature and light intensity, and determine the lighting control scheme and air conditioning control scheme of the smart building based on the environmental data and user activity trajectory; An elevator control scheme is generated according to the user activity trajectory, wherein the elevator control scheme includes elevator stop floor control information and elevator state control information.

2. The intelligent building energy consumption monitoring and management method according to claim 1 is characterized in that: The step of preprocessing the multi-source data specifically includes: Perform data cleaning to remove duplicate records, outliers, and records with missing key information in attendance data; Unify the format of attendance data to ensure the consistency of time and location information. Location information needs to be converted into area divisions within the building; Perform facial recognition on image frames in camera surveillance data to identify employees in the building; track employee movements through object tracking algorithms; Perform location mapping to map the identified employee locations onto the floor plan of the building and convert them into area identification within the building.

3. The intelligent building energy consumption monitoring and management method according to claim 2 is characterized in that: The step of fusing multi-source data to obtain fusion information and determining the user activity trajectory in the intelligent building based on the fusion information specifically includes: Use weighted fusion algorithm to fuse multi-source data to obtain fusion information; Convert the fused information into user activity trajectories, each of which should contain the user's location information at different time points in the building; Optimize the generated trajectory, remove noise and outliers, ensure the continuity of the trajectory, and adjust the trajectory based on the building layout, channels and obstacles; The user activity trajectory is displayed in a graphical way through the GIS system; the trajectory map can reflect the distribution of users in the building at any moment.

4. The intelligent building energy consumption monitoring and management method according to claim 1 is characterized in that: The step of determining the lighting control scheme and air conditioning control scheme of the intelligent building based on the environmental data and the user activity trajectory specifically includes: Determine a first area in the building where lights need to be turned on based on the light intensity, determine a second area in the building where users exist based on the user activity trajectory, and determine a lighting control plan based on the intersection of the first area and the second area; A third area in the building where lights need to be turned on is determined based on the temperature, a fourth area in the building where users exist and the user density are determined based on the user activity trajectory, and an air conditioning control plan is determined based on the intersection of the third area and the fourth area and the user density.

5. The intelligent building energy consumption monitoring and management method according to claim 1 is characterized in that: The step of generating an elevator control solution according to the user activity trajectory specifically includes: Determine the user's floor transition data in the next time period based on the user's activity trajectory, and dynamically adjust the elevator stop floors based on the floor transition data; The number of working elevators and dormant elevators is determined according to the number of users who jump to floors, and the elevator status control information is obtained.

6. An intelligent building energy consumption monitoring and management system, characterized in that: The system comprises: A multi-source data acquisition module, used to collect multi-source data, wherein the multi-source data includes attendance data of each company department and camera monitoring data, wherein the attendance data of each company department includes company department information, attendance time and location information; A multi-source data fusion module is used to pre-process multi-source data, fuse multi-source data to obtain fusion information, and determine the user activity trajectory in the intelligent building based on the fusion information; A lighting and air conditioning control module is used to monitor environmental data, including temperature and light intensity, and determine the lighting and air conditioning control schemes of the smart building based on the environmental data and user activity trajectories; The elevator operation control module is used to generate an elevator control plan according to the user activity trajectory, and the elevator control plan includes elevator stop floor control information and elevator status control information.

7. The intelligent building energy consumption monitoring and management system according to claim 6 is characterized in that: The multi-source data fusion module includes: Data cleaning unit, used to clean the data and remove duplicate records, abnormal values ​​and records with missing key information in the attendance data; The consistency conversion unit is used to unify the format of attendance data and ensure the consistency of time and location information. The location information needs to be converted into area divisions within the building; A face recognition unit is used to perform face recognition on image frames in camera surveillance data to identify employees in the building; and track the movement trajectory of employees through an object tracking algorithm; The area identification unit is used for position mapping, mapping the identified employee location onto the floor plan of the building and converting it into an area identification within the building.

8. The intelligent building energy consumption monitoring and management system according to claim 7 is characterized in that: The multi-source data fusion module also includes: A fusion information unit, used for fusing multi-source data using a weighted fusion algorithm to obtain fusion information; An activity trajectory conversion unit is used to convert the fusion information into a user activity trajectory, each trajectory of which should contain the location information of the user at different time points in the building; Activity trajectory optimization unit, used to optimize the generated trajectory, remove noise and outliers, ensure the continuity of the trajectory, and adjust the trajectory based on the building layout, channels and obstacles; The trajectory graphics unit is used to display the user activity trajectory in a graphical way through the GIS system; the trajectory map can reflect the distribution of users in the building at each moment.

9. The intelligent building energy consumption monitoring and management system according to claim 6, characterized in that: The lighting and air conditioning control module includes: A lighting control unit, configured to determine a first area in the building where lights need to be turned on based on light intensity, determine a second area in the building where users exist based on user activity trajectories, and determine a lighting control scheme based on an intersection of the first area and the second area; The air conditioning control unit is used to determine a third area in the building where lights need to be turned on based on temperature, determine a fourth area in the building where users exist and the user density based on user activity trajectories, and determine an air conditioning control plan based on the intersection of the third area and the fourth area and the user density.

10. The intelligent building energy consumption monitoring and management system according to claim 6, characterized in that: The elevator operation control module comprises: The elevator stop floor unit is used to determine the user's floor jump data in the next time period according to the user's activity trajectory, and dynamically adjust the elevator stop floor according to the floor jump data; The elevator status control unit is used to determine the number of working elevators and the number of dormant elevators according to the number of users who jump to floors, and obtain elevator status control information.

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