Intelligent residential building data management system and method based on digital twinning

Abstract

The invention discloses a smart residential building data management system and method based on digital twinning, and belongs to the technical field of smart buildings, the system comprises a data acquisition module, a twinning modeling and synchronization module, an energy consumption and safety management module, a visualization module and a user management module. By adopting the system and the method, the digital twin model is taken as a unified carrier, and the object identifier OID and the mapping mechanism are established around'house-room-equipment-data point ', so that the unified mapping of the data is realized, and the problem of data splitting of a traditional residence management mode is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of smart building, and particularly to a smart residential building data management system and method based on digital twinning. BACKGROUND

[0002] With the acceleration of urbanization and the improvement of residents' living standards, residential buildings are gradually developing towards intelligence and refinement, and users' requirements for the comfort, safety and energy utilization efficiency of living environment are increasing. However, the traditional residential management mode has problems such as data fragmentation and extensive management, which cannot meet the demand of smart living.

[0003] Digital twinning technology is a technology that combines physical entities and digital virtual models. It reflects the data and behavior of the actual physical system in real time to the digital virtual model to realize the simulation, monitoring, optimization and prediction of the physical system. Digital twinning technology has a wide range of applications in smart cities, which can better understand, plan and optimize city operations. Through digital twinning technology, smart cities can more intelligently and efficiently manage city operations and improve the sustainable development capacity of cities and the quality of residents' life.

[0004] Therefore, it is urgent to provide a smart residential building data management system and method based on digital twinning to meet the demand of smart living. SUMMARY

[0005] The purpose of the present application is to provide a smart residential building data management system and method based on digital twinning to solve the problems mentioned in the background.

[0006] To achieve the above-mentioned purpose, the present application provides a smart residential building data management system based on digital twinning, which comprises a data acquisition module, a twinning modeling and synchronization module, an energy consumption and safety management module, a visualization module and a user management module. The data acquisition module is used to acquire the data for building the digital twinning modeling of the building, as well as the environmental data, equipment data and personnel situation of each position in the building, and to preprocess the acquired data. The twinning modeling and synchronization module is based on digital twinning technology to model the building and map the collected environmental data and equipment data. The energy consumption and safety management module is used to statistically analyze the building energy consumption and integrate the statistical and analysis results into the building digital twinning model; to monitor the equipment data in real time and realize hierarchical alarm based on the preset threshold. The visualization module is used to visually display the constructed twinning model. The user management module is used to manage user roles and user permissions.

[0007] Preferably, the data acquisition module comprises an edge communication unit, a data acquisition unit and a data preprocessing unit; The edge communication unit comprises a wireless transmission unit and an offline cache unit; the wireless transmission unit integrates a multi-protocol device to realize wireless transmission; the offline cache unit stores offline data; The data acquisition unit comprises a building information acquisition unit and an environment information acquisition unit; the building information acquisition unit is used to acquire building geographic information, design drawings of the building and spatial information; the environment information acquisition unit integrates a plurality of data acquisition nodes, each of which is provided with a corresponding acquisition sensor, and is used to acquire indoor environment data, equipment data and personnel conditions, and transmit data through the edge communication unit; The data preprocessing unit pre-processes the data collected by the data acquisition unit, including timestamp alignment, data missing processing, denoising and unit unification.

[0008] Preferably, the twin modeling and synchronization module comprises a data acquisition unit, a twin modeling unit, a space-time data management unit and a data synchronization unit; The data acquisition unit is used to acquire modeling data for constructing a digital twin model; The twin modeling unit uses digital twin technology to construct a digital twin model based on the acquired modeling data; The space-time data management unit manages time series and spatial indexes; The data synchronization unit is used to extract a house type topology graph, equipment location points and attributes of the digital twin model, generate a unique identifier and establish a mapping based on the house type topology and the correlation of each device.

[0009] Preferably, the energy consumption and safety management module comprises an energy consumption analysis unit, a safety management unit and an integration module; The safety management unit comprises a video monitoring system, a residential monitoring system and an access control management system, and realizes hierarchical alarm based on a preset threshold by monitoring each subsystem; The energy consumption analysis unit statistically analyzes real-time data of overall building energy consumption, system energy consumption and equipment energy consumption, compares them with historical data, disassembles energy consumption according to the "building-floor-area-equipment" hierarchy, analyzes the energy consumption proportion of each level, and predicts building energy consumption based on a machine learning model; The integration module is used to integrate statistical, analysis results and safety alarm information into the building digital twin model.

[0010] Preferably, the residential monitoring system is provided with a residential scene template, and monitors indoor environment and equipment based on the residential scene template.

[0011] Preferably, the visualization module comprises a two-dimensional display unit, a twin model display unit, a scene and linkage control unit, a hierarchical guidance unit, a building equipment information display unit and an energy consumption display unit; The two-dimensional display unit is used for displaying two-dimensional planar graphs, including the boundaries and sizes of various positions in the building; The twin model display unit is used for visualizing the twin model; The scene and linkage control unit is used for real-time control and display of the scene in the residential scene template, and the execution result is written back to the corresponding unique identifier object and a log / work order is generated; The hierarchical guidance unit is used for supporting view switching of various levels / functions of view instructions; The building equipment information display unit is used for visualizing the mapped equipment data; The energy consumption display unit divides different levels based on energy consumption data analyzed by level, uses different colors to distinguish energy consumption data of different levels, and displays by building-floor-area-equipment.

[0012] Preferably, the two-dimensional display unit and the digital twin model display unit support mutual switching.

[0013] Preferably, the user management module controls user roles and permissions by constructing a four-layer association model of resident account-equipment ownership-data authorization-retention period, and defining resource dimensions, operation types and role permission matrices in layers.

[0014] The application also provides a smart residential building data management method based on digital twinning, comprising the following steps: S1, collecting data for constructing a building twin model and environmental data, equipment data and personnel conditions of various positions in the building, and preprocessing the collected data; S2, constructing a building digital twin model through a twin modeling and synchronization module based on the collected data, generating a unique identifier and establishing a mapping based on a house type topology graph, equipment position points and attributes; S3, displaying two-dimensional / digital twin models through a visualization module, and realizing scene linkage and control through an OID; S4, statistically analyzing building energy consumption, integrating statistical and analysis results into the building digital twin model, and real-time displaying the statistical and analysis results; S5, real-time monitoring of equipment data, realizing hierarchical alarm based on a preset threshold, and displaying an alarm icon at a corresponding position in the digital twin model.

[0015] Therefore, the application has the following beneficial effects by adopting the above-mentioned smart residential building data management system and method based on digital twinning: (1) Using the digital twin model as a unified carrier, an object identification OID and mapping mechanism was established around "household-room-equipment-data point", which realized the real-time linkage between the physical building and the virtual model and solved the problem of data fragmentation in the traditional residential management model; (2) Through the synergistic effect of each module, a complete data management chain from data collection to modeling, analysis, display and control has been realized; (3) By breaking down energy consumption into levels, implementing safety-level response and hierarchical access control, the granularity of management has been improved.

[0016] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0017] Figure 1 This is a system framework diagram of an embodiment of the present invention; Figure 2 This is a flowchart of a method according to an embodiment of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. In the description of the present invention, it should be noted that the terms "upper," "lower," "inner," "outer," etc., indicating orientation or positional relationships are based on the orientation or positional relationships shown in the accompanying drawings, or the orientation or positional relationships commonly used when the product of the invention is in use. They are only for the convenience of describing the present invention and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the present invention.

[0019] Example Reference Figure 1 The present invention provides a smart residential building data management system based on digital twins, including a data acquisition module, a twin modeling and synchronization module, an energy consumption and safety management module, a visualization module and a user management module.

[0020] Data acquisition module: Used to collect data for building digital twin modeling of buildings, as well as environmental data, equipment data and personnel information at various locations within the building, and to preprocess the collected data.

[0021] In this embodiment, the data acquisition module includes an edge communication unit, a data acquisition unit, and a data preprocessing unit.

[0022] Edge communication unit: includes wireless transmission unit and offline buffer unit.

[0023] The wireless transmission unit integrates and interfaces with Z-Wave / Zigbee / Matter, Modbus, MQTT, BLE, and IP devices, and connects to the data acquisition devices in the building's data acquisition unit to achieve wireless transmission. The offline caching unit stores offline data and automatically retransmits it after the network is restored to avoid data loss.

[0024] Data acquisition unit: includes building information acquisition unit and environmental information acquisition unit.

[0025] The building information acquisition unit is used to collect building geographic coordinates, CAD design drawings, and spatial information, such as floor layout.

[0026] The environmental information acquisition unit integrates multiple data acquisition nodes, each equipped with corresponding sensors to collect environmental data, equipment data, and personnel information within the building. This data is transmitted via an edge communication unit. Environmental data includes temperature, humidity, light intensity, air quality, smoke levels, and CO concentration. Equipment data includes the type, name, location, and usage status of various facilities, including usage / shutdown times, operating status, and power consumption. Personnel information includes personnel movement patterns.

[0027] Data preprocessing unit: performs preprocessing on the data acquired by the data acquisition unit, including: Timestamp alignment: Unify the collection time of different devices to the Coordinated Universal Time (UTC) timestamp to ensure spatiotemporal consistency.

[0028] Data missing handling: For short-term missing data, such as when a sensor does not respond for 5 minutes, the previous value is used to fill the missing data. For long-term missing data, such as when there is no data for 1 hour, it is marked as "abnormal" and a device fault warning is triggered.

[0029] Noise reduction: Eliminate equipment noise through moving average filtering.

[0030] Unit standardization: Energy consumption data, environmental data, etc., are standardized into the system's standard units.

[0031] Twin Modeling and Synchronization Module: Based on digital twin technology, this module models buildings and maps collected environmental and equipment data.

[0032] In this embodiment, the twin modeling and synchronization module includes a data acquisition unit, a twin modeling unit, a spatiotemporal data management unit, and a data synchronization unit.

[0033] Data acquisition unit: Used to acquire modeling data for building digital twin models and form modeling datasets.

[0034] Twin Modeling Unit: Based on the acquired modeling data, a digital twin model is constructed using digital twin technology.

[0035] Data Synchronization Unit: This unit extracts the apartment topology, equipment location points, and attributes from the digital twin model. Based on the apartment topology and the association with each device, it generates unique identifiers (OIDs) and maintains models for apartments, rooms, equipment, and data points. By extracting equipment operation data in real time and mapping the OIDs to the corresponding objects in the twin model, it achieves dynamic synchronization between the virtual model and physical equipment. The OID is obtained by combining fields such as "community / building / unit / apartment number / room code / equipment code / category / name" according to rules, followed by hashing and Base32 / 36 encoding, ensuring cross-system consistency and traceability.

[0036] Spatiotemporal data management unit: manages time series and spatial indexes. The spatial index is used to associate data with the location points of equipment within the building. The smallest monitoring unit is "room / equipment". It supports multi-dimensional aggregation and tracing by household, by room, by equipment and by system.

[0037] Energy consumption and safety management module: performs statistical analysis on building energy consumption, integrates the statistical and analysis results into the building digital twin model; monitors data of various devices in real time, and implements hierarchical alarms based on preset thresholds.

[0038] In this embodiment, the energy consumption and safety management module includes an energy consumption analysis unit, a safety management unit, and an integration module; The security management unit comprises a video surveillance system, a residential monitoring system, and an access control system. It monitors each subsystem and triggers tiered alarms based on preset thresholds. The video surveillance system includes cameras, and the residential monitoring system has built-in residential scene templates, including scenarios such as leaving home, returning home, nighttime, nap, sleep, energy saving, and air purification. It monitors the indoor environment and equipment based on these residential scenes. When monitored data exceeds preset thresholds, tiered alarms are triggered: Level 1 is a local audio-visual alert; Level 2 is a local audio-visual alert and push notification; and Level 3 triggers a linkage with property management. In emergencies, control commands for associated devices in the digital twin model are automatically triggered, controlling the device and marking the handling status in the digital twin model.

[0039] Energy consumption analysis unit: Performs real-time data statistics on the building's overall energy consumption, system energy consumption, and equipment energy consumption, and compares it with historical data. It breaks down energy consumption into "building-floor-area-equipment" levels, analyzes the energy consumption ratio of each level, and predicts building energy consumption based on deep learning models, combined with historical energy consumption data and personnel flow. It then performs energy consumption scheduling based on the prediction results.

[0040] Integration module: Used to integrate statistical and analytical results and security alarm information into the building digital twin model for easy visualization.

[0041] Visualization module: Used to visualize the constructed twin model.

[0042] In this embodiment, the visualization module includes a two-dimensional display unit, a digital twin model display unit, a scene and linkage control unit, a hierarchical guidance unit, a building equipment information display unit, and an energy consumption display unit. The two-dimensional display unit and the digital twin model display unit can be switched between each other.

[0043] Two-dimensional display unit: used to display two-dimensional floor plans, including the boundaries and dimensions of various locations within the building, and supports operations such as zooming and rotation.

[0044] Twin Model Display Unit: Used to visualize twin models, supporting operations such as scaling and rotation.

[0045] Scene and Linkage Control Unit: Used for real-time control and display of scenes within residential scene templates. Execution results are written back to the corresponding OID object and logs / work orders are generated. For example, to control lighting, the system sends a "close" command to associated devices, and the execution result is written back to the corresponding object in the digital twin model via OID, such as the light icon changing to the "closed" state. When the system is offline, scene and linkage control is performed based on local preset rules.

[0046] Hierarchical guidance unit: Used to support view switching at various levels / functions of view commands, meeting the needs of different users.

[0047] Building Equipment Information Display Unit: Used to visualize the mapped equipment data.

[0048] Energy consumption display unit: Based on the hierarchical breakdown and analysis of energy consumption data, it is divided into different levels and different colors are used to distinguish the energy consumption data of different levels. It is displayed by building-floor-area-equipment.

[0049] User Management Module: Used for managing user roles and user permissions.

[0050] In this embodiment, the user management module constructs a correlation model of resident account—equipment ownership—data authorization—retention period, and defines resource dimensions, operation types, and role permission matrices in a hierarchical manner to control user roles and permissions. It supports adding, deleting, modifying, and querying user roles, and all operations generate audit logs to ensure traceability.

[0051] Reference Figure 2 The present invention also provides a smart residential building data management method based on digital twins, the steps of which include: S1. Collect data for constructing the building twin model, as well as environmental data, equipment data, and personnel information at various locations within the building, and preprocess the collected data; S2. Based on the collected data, construct a digital twin model of the building through the twin modeling and synchronization module. Based on the unit topology map, equipment location points and attributes, generate OIDs and establish mappings.

[0052] Specifically, step S2 includes: S21. Unify the apartment topology and device location points to the same building coordinate system to complete the hierarchical anchoring of community-building-unit-floor-household-room. Among them, devices with only room number and no coordinates use the default positioning of room number-room polygon centroid; devices with coordinates perform point determination on polygon, and cross-boundary points are assigned to the nearest room according to the minimum distance.

[0053] S22. Load the point templates according to equipment type to form the expected list of equipment object-data point objects. The point templates include: thermostat: temperature, set temperature, mode, fan speed; air quality: PM2.5. 2.5 CO2, TVOC, temperature and humidity, etc.

[0054] It should be noted that if the reported locations are inconsistent with the template, the intersection will be retained and the newly added / missing locations will be recorded in the discrepancy list for manual confirmation or automatic learning and updating.

[0055] S23. Generate OIDs by combining hierarchical fields, hashing, and Base32 / 36 encoding. Hierarchical fields include, but are not limited to, fields such as "community / building / unit / household number / room code / equipment code / category / name". The OID includes device OID_dev and location OID_pt. Device OID_dev = enc(community, building, unit, household number, room, equipment type, equipment serial number); Location OID_pt = OID_dev + "." + location name. When the communication identifier (e.g., MAC / Topic) of the same physical device changes, the OID remains unchanged, and only the data source binding is updated to ensure cross-system consistency and traceability.

[0056] S24. Construct matching features for each device and calculate the matching confidence score. The matching features are F = {spatial affiliation, topological connectivity, type consistency, distance, attribute matching (range / unit / sampling period / manufacturer), historical correlation}. The matching score is: Score = w1·space + w2·type + w3·distance + w4·attribute + w5·history (weights are configurable); the distance feature uses normalized decay such as exp(-d / R). Automatic confirmation occurs when Score ≥ θ_h (e.g., 0.8); θ_l ≤ Score < θ_h enters the pending review stage; Score < θ_l is marked as abnormal. Multiple candidate conflicts are resolved using stable matching / maximum weight matching.

[0057] S25. Record a unique data source for each point, bind it, and ensure that the units are consistent. Retain the original value and the converted value, and write the conversion formula into the metadata.

[0058] S26. Establish control mappings for controllable locations. After execution, write the device receipts and results back to the OID and generate operation logs / work orders. The mapping table adopts version management: topology changes / room splitting / merging / device migration trigger a new version, while the old version is read-only and retained. Each mapping record includes the creator / modifier, timestamp, and reason for change, supporting rollback and difference comparison. In addition, based on the four-layer association model "resident account - device ownership - data authorization - retention period", hierarchical permissions and audits are implemented for reading, writing, exporting, and writing back the mapping table; desensitization is enabled for locations containing identity or location information. Detect sudden changes in spatial / attribute / historical correlations to discover device movement / replacement, trigger the re-matching process, and establish a traceability relationship between the old and new OIDs.

[0059] S3. Display the 2D / digital twin model through the visualization module, and realize scene linkage and control through OID.

[0060] Two-dimensional display implementation methods include: Use icons according to device type. Points are not shown separately, but are displayed along with the device.

[0061] Coloring is based on mapping quality and running status (normal / pending review / abnormal / offline), with abnormal items marked with a superscript.

[0062] Energy consumption and air quality are rendered thermally by room / area, with the time window and aggregation dimension selected from the panel.

[0063] Click to locate, double-click to enter room details, select the area for statistical analysis; hover tooltip displays OID, latest value and timestamp.

[0064] Methods for implementing 3D twin display include: Mount OID_dev as a device model attribute to display 3D annotations.

[0065] Interlocking the 2D and 3D views allows switching between them.

[0066] The display is presented in three levels of detail: building, floor, and room. The distant view shows the heat and alarms, while the close view shows the equipment readings.

[0067] The methods for implementing scene linkage and control include: A control form provides setpoints / modes / switches for controllable points; success displays "issued / received / written back", failure displays error codes and downgrade suggestions, and writes to the audit log.

[0068] When displaying, layers and objects are made visible in a layered manner according to the "four-layer association model"; sensitive points are displayed in a room-level and time-segmented aggregated manner, and the system supports de-identified export and access auditing.

[0069] S4. Perform statistical analysis on building energy consumption, integrate the statistical and analytical results into the building digital twin model, and display the statistical and analytical results in real time; S5: Monitor data from each device in real time, implement tiered alarms based on preset thresholds, and display alarm icons at the corresponding locations in the digital twin model.

[0070] Therefore, the present invention adopts the above-mentioned intelligent residential building data management system and method based on digital twins, which uses the digital twin model as a unified carrier and establishes an object identification (OID) and mapping mechanism around "household-room-equipment-data point" to realize the unified mapping of data.

[0071] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the technical solutions of the present invention, and these modifications or equivalent substitutions cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. A smart residential building data management system based on digital twins, characterized in that: It includes a data acquisition module, a twin modeling and synchronization module, an energy consumption and safety management module, a visualization module, and a user management module; Data acquisition module: used to collect data for building digital twin modeling of buildings, as well as environmental data, equipment data and personnel information at various locations within the building, and to preprocess the collected data; Twin Modeling and Synchronization Module: Based on digital twin technology, this module models buildings and maps collected environmental and equipment data. Energy consumption and safety management module: performs statistical analysis on building energy consumption and integrates the statistical and analytical results into the building digital twin model; Real-time monitoring of data from each device, and implementation of tiered alarms based on preset thresholds; Visualization module: Used to visualize the constructed twin model; User Management Module: Used for managing user roles and user permissions.

2. The smart residential building data management system based on digital twins according to claim 1, characterized in that: The data acquisition module includes an edge communication unit, a data acquisition unit, and a data preprocessing unit; Edge communication unit: includes a wireless transmission unit and an offline caching unit; the wireless transmission unit integrates multi-protocol devices to realize wireless transmission; the offline caching unit stores offline data; Data acquisition unit: includes building information acquisition unit and environmental information acquisition unit, wherein the building information acquisition unit is used to collect building geographic information, building design drawings and spatial information; The environmental information acquisition unit integrates multiple data acquisition nodes. Each data acquisition node is equipped with a corresponding acquisition sensor to collect environmental data, equipment data, and personnel information inside the building, and transmits the data through the edge communication unit. Data preprocessing unit: preprocesses the data collected by the data acquisition unit, including timestamp alignment, missing data handling, noise reduction, and unit unification.

3. The smart residential building data management system based on digital twins according to claim 1, characterized in that: The twin modeling and synchronization module includes a data acquisition unit, a twin modeling unit, a spatiotemporal data management unit, and a data synchronization unit; Data acquisition unit: used to acquire modeling data for building digital twin models; Twin Modeling Unit: Based on the acquired modeling data, a digital twin model is constructed using digital twin technology; Spatiotemporal data management unit: manages time series and spatial indexes; Data synchronization unit: used to extract the apartment topology, equipment location points and attributes of the digital twin model, associate the apartment topology with each device, generate unique identifiers and establish mappings.

4. The smart residential building data management system based on digital twins according to claim 1, characterized in that: The energy consumption and safety management module includes an energy consumption analysis unit, a safety management unit, and an integration module; Security Management Unit: Includes video surveillance system, residential monitoring system and access control system. It monitors each subsystem and implements tiered alarms based on preset thresholds. Energy consumption analysis unit: Performs real-time data statistics on total building energy consumption, system energy consumption and equipment energy consumption, compares it with historical data, breaks down energy consumption by building-floor-area-equipment level, and analyzes the energy consumption ratio of each level; And predict building energy consumption based on machine learning models; Integration module: Used to integrate statistical and analytical results and security alert information into the building digital twin model.

5. A smart residential building data management system based on digital twins according to claim 4, characterized in that: The residential monitoring system has built-in residential scene templates, which are used to monitor the indoor environment and equipment.

6. A smart residential building data management system based on digital twins according to claim 5, characterized in that: The visualization module includes a two-dimensional display unit, a twin model display unit, a scene and linkage control unit, a hierarchical guidance unit, a building equipment information display unit, and an energy consumption display unit. Two-dimensional display unit: used to display two-dimensional floor plans, including the boundaries and dimensions of various locations within the building; Twin Model Display Unit: Used to visualize twin models; Scene and linkage control unit: used for real-time control and display of scenes within the residential scene template, and writes the execution results back to the corresponding unique identifier object and generates logs / work orders; Hierarchical navigation unit: Used to support view switching at various levels / functions of view commands; Building equipment information display unit: used to visualize the mapped equipment data; Energy consumption display unit: Based on the hierarchical breakdown and analysis of energy consumption data, it is divided into different levels and different colors are used to distinguish the energy consumption data of different levels. It is displayed by building-floor-area-equipment.

7. A smart residential building data management system based on digital twins according to claim 6, characterized in that: The two-dimensional display unit and the digital twin model display unit can be switched between each other.

8. A smart residential building data management system based on digital twins according to claim 1, characterized in that: The user management module constructs a four-layer association model of resident account, device ownership, data authorization, and retention period, and defines resource dimensions, operation types, and role permission matrices in layers to control user roles and permissions.

9. A method for managing smart residential building data based on digital twins, employing the smart residential building data management system based on digital twins as described in any one of claims 1-8, characterized in that the steps... include: S1. Collect data for constructing the building twin model, as well as environmental data, equipment data, and personnel information at various locations within the building, and preprocess the collected data; S2. Based on the collected data, a digital twin model of the building is constructed through the twin modeling and synchronization module. Based on the unit topology map, equipment location points and attributes, a unique identifier is generated and a mapping is established. S3. Display the 2D / digital twin model through the visualization module, and realize scene linkage and control through OID; S4. Perform statistical analysis on building energy consumption, integrate the statistical and analytical results into the building digital twin model, and display the statistical and analytical results in real time; S5. Monitor data from each device in real time, implement tiered alarms based on preset thresholds, and display alarm graphs at the corresponding locations in the digital twin model.

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