System and method for building automation control

Abstract

The invention is suitable for the building field, especially the field of building operation and maintenance management, and provides a building automation control system and method, which can integrate various data of a building and an electromechanical system thereof, facilitate centralized management, improve control strategies of the building and the electromechanical system thereof through an artificial intelligence technology, and improve user experience. In the building automation control system, various data of a building and an electromechanical system thereof are managed in a centralized manner through a cloud database, and the data comprise static data and / or dynamic data of the building and the electromechanical system thereof. And functions of data visualization, parameter control, fault alarm, data prediction, strategy suggestion and the like are provided for the building and the electromechanical system thereof through the digital twin management platform.

Description

(19) State Intellectual Property Office (12) Invention Patent Application (10) Application Publication Number (43) Application Publication Date (21) Application Number 202411131676.4 (22) Application Date 2024.08.16 (71) Applicant: Hong Kong Polytechnic University Address: 11 Yuk Choi Road, Hung Hom, Kowloon, Hong Kong, China (72) Inventors: Xiao Fu, Ma Tianyou, Zhang Jing, Xu Kan, Zhang Hanbei, Yao Huimin (74) Patent Agency: Shenzhen Zhongyi United Intellectual Property Agency Co., Ltd. 44414 Patent Attorney: Qin Zhe (51) Int.Cl. G06F 30 / 20 (2020.01) G06F 30 / 13 (2020.01) G06F 30 / 12 (2020.01) G06Q 10 / 20 (2023.01) G06Q 50 / 08 (2012.01) (54) Invention Title: Building Automation Control System and Method (57) Abstract: This application applies to the building field, particularly the field of building operation and maintenance management, and provides a building automation control system and method that can integrate various data of buildings and their electromechanical systems for centralized management, and improve the control strategies of buildings and their electromechanical systems through artificial intelligence technology, thereby enhancing the user experience. Specifically, in this building automation control system, various data of buildings and their electromechanical systems, including static and / or dynamic data, are centrally managed through a cloud database, and a digital twin management platform provides functions such as data visualization, parameter control, fault alarm, data prediction, and strategy suggestions for the buildings and their electromechanical systems. Claims (2 pages), Description (11 pages), Drawings (7 pages), CN 121598555 A 2026.03.03 CN 1 21 59 85 55 A 1. A building automation control system, characterized in that the system is a digital twin system, the system comprising: a cloud database, and a digital twin management platform connected to the cloud database; the cloud database is used to acquire data of the building and its electromechanical systems, the data including one or more of the following: Building Information Model (BIM) information of the building and its electromechanical systems, Building Management System (BMS) information, and Internet of Things (IoT) device information, the BIM information including static building data of the building, the BMS information including static data and / or dynamic data obtained by the BMS from real-time monitoring of various devices in the building and its electromechanical systems, the cloud database being bidirectionally connected to the BMS, and the IoT device information including data collected by sensors in the building; the digital twin management platform, built by computer equipment, is used to acquire data of the building and its electromechanical systems from the cloud database and visualize the operating data, the operating data being based on the data of the building and its electromechanical systems.The system comprises: 1. Determined real-time dynamic data of the system; and 2. Control commands input by the user, which are sent to corresponding devices within the building and its electromechanical system via the BMS, wherein the control commands are used to regulate the control parameters corresponding to the devices. 2. The system according to claim 1, wherein the digital twin management platform is further configured to process the data of the building and its electromechanical system using a first artificial intelligence model to obtain predicted data, and to visualize the predicted data, wherein the predicted data is the predicted operating data of the building and its electromechanical system within a preset future time period. 3. The system according to claim 1, wherein the digital twin management platform is further configured to process the data of the building and its electromechanical system using a second artificial intelligence model to obtain strategy information, and to visualize the strategy information, wherein the strategy information is a control strategy for the BMS generated based on a preset control target. 4. The system according to any one of claims 1 to 3, characterized in that the system further comprises an artificial intelligence server, configured to acquire data of the building and its electromechanical systems from the cloud database, generate abnormal information based on the data, and return the abnormal information to the cloud database, the abnormal information being used to indicate abnormal operating conditions within the building and its electromechanical systems; the digital twin management platform is further configured to acquire the abnormal information from the cloud database and issue an alarm for the abnormal information. 5. The system according to any one of claims 1 to 3, characterized in that the system further comprises an artificial intelligence server, configured to acquire data of the building and its electromechanical systems from the cloud database, process the data based on building energy conservation and predictive maintenance algorithms to obtain an operating strategy, and return the operating strategy to the cloud database, the operating strategy being used to indicate the operation and maintenance methods for the building and its electromechanical systems; the BMS is configured to acquire the operating strategy through the cloud database and execute operation and maintenance operations for the building and its electromechanical systems based on the operating strategy. 6. The system according to any one of claims 1 to 3, characterized in that the system further comprises an artificial intelligence server, configured to acquire data of the building and its electromechanical system from the cloud database, process the data based on a machine learning algorithm to obtain control parameters, and return the control parameters to the cloud database, wherein the control parameters are used to adjust the operating parameters of one or more devices within the building and its electromechanical system; the BMS is configured to acquire the control parameters through the cloud database and configure parameters based on the control parameters. 7. The system according to any one of claims 1 to 3, characterized in that the BIM information includes one or more of the following: the geometric shape of each device within the building and its electromechanical system, the construction details, etc.121598555 A Component attributes, time schedule, cost estimation, equipment information, and visualization model; The BMS information includes one or more of the following: energy consumption, environmental parameters, status of each device, and control parameters of each device; The IoT device information includes one or more of the following: environmental conditions, operating status of each device, and user behavior within the building; The operational data of the building and its electromechanical systems visualized by the digital twin management platform includes one or more of the following: energy consumption, equipment status, performance trends, and optimization results of the building and its electromechanical systems. The optimization results are obtained by processing the data of the building and its electromechanical systems through the artificial intelligence server in the system. The optimization results include one or more of the following: alarm information, operating strategy, and optimized control parameters. The alarm information is used to indicate abnormal operating conditions within the building and its electromechanical systems. The operating strategy is used to indicate the operation and maintenance methods for the building and its electromechanical systems. The optimized control parameters are used to adjust the operating parameters of each device within the building and its electromechanical systems. 8. A building automation control method, characterized in that the method comprises: acquiring data of a building and its electromechanical systems from a cloud database and visually displaying operational data, wherein the data of the building and its electromechanical systems includes one or more of the following: Building Information Model (BIM) information of the building and its electromechanical systems, Building Management System (BMS) information, and Internet of Things (IoT) device information, wherein the BIM information includes static building data of the building, the BMS information includes static and / or dynamic data obtained by the BMS from real-time monitoring of various devices within the building and its electromechanical systems, the cloud database is bidirectionally connected to the BMS, the IoT device information includes data collected by sensors within the building, and the operational data is real-time dynamic data of the system determined based on the data of the building and its electromechanical systems; acquiring control commands input by a user and sending the control commands to the BMS, wherein the control commands are used to regulate the operational data. 9. The method according to claim 8, characterized in that the method further comprises: processing the data of the building and its electromechanical system using a first artificial intelligence model to obtain predicted data, and visually displaying the predicted data, wherein the predicted data is the predicted operating data of the building and its electromechanical system within a preset future time; and / or processing the data of the building and its electromechanical system using a second artificial intelligence model to obtain strategy information, and visually displaying the strategy information, wherein the strategy information is a control strategy for the BMS generated based on a preset control target; and / or obtaining abnormal information from the cloud database and issuing an alarm for the abnormal information, wherein the abnormal information is used to indicate abnormal operating conditions within the building and its electromechanical system.10. A digital twin management platform, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the method as described in claim 8 or 9. Claims 2 / 2 Page 3 CN 121598555 A Building Automation Control System and Method Technical Field

[0001] This application belongs to the field of construction, particularly the field of building operation and maintenance management, and particularly relates to a building automation control system and method. Background Art

[0002] A building automation control system refers to a system for the full life cycle management and maintenance of buildings and their equipment and facilities, including functions such as equipment operation monitoring, energy efficiency optimization, fault diagnosis and prevention.

[0003] However, with the rapid development of information technology, the data that building automation control systems need to collect and control is increasing, and the dispersion and isolation between data pose challenges to the digital control function of building automation control systems. Summary of the Invention

[0004] The embodiments of this application provide a building automation control system and method, which can centrally manage and control various data of buildings and their electromechanical systems, and improve the integration and operability of data.

[0005] In a first aspect, a building automation control system is provided, which is a digital twin system. The system includes: a cloud database and a digital twin management platform connected to the cloud database; the cloud database is used to acquire data of the building and its electromechanical systems, the data including one or more of the following: building information modeling (BIM) information of the building and its electromechanical systems, building management system (BMS) information, and Internet of Things (IoT) device information, wherein the BIM information includes static building data of the building, the BMS information includes static data and / or dynamic data obtained by the BMS from real-time monitoring of various devices in the building and its electromechanical systems, and the IoT device information includes data collected by sensors in the building; the digital twin management platform is built by computer equipment and is used to acquire data of the building and its electromechanical systems from the cloud database and visualize the operating data, wherein the operating data is real-time dynamic data of the system determined based on the data of the building and its electromechanical systems; and is used to acquire control commands input by the user and send the control commands to the BMS, the control commands being used to regulate the operating data.

[0006] During the building maintenance and management phase, due to limitations in communication protocols and data formats, there are serious information isolation problems between data from different suppliers and systems within the building. With the continuous emergence of new technologies, buildings face even more severe challenges.The challenges of multi-source data integration are significant. However, the solutions provided in this application can address the multi-source data integration problem during the building operation and maintenance phase. By integrating the building design phase information contained in BIM and real-time data collected by IoT technology with the traditional BAS, information isolation during the building operation and maintenance phase is eliminated, making it possible for the BAS to further integrate with future emerging technologies.

[0007] Optionally, the digital twin management platform is further configured to process the data of the building and its electromechanical systems using a first artificial intelligence model to obtain predictive data, and to visualize and display the predictive data. The predictive data is the predicted operating data of the building and its electromechanical systems within a preset future timeframe.

[0008] Optionally, the digital twin management platform is further configured to process the data of the building and its electromechanical systems using a second artificial intelligence model to obtain strategy information, and to visualize and display the strategy information. The strategy information is a control strategy for the BMS generated based on preset control targets. Instruction Manual 1 / 11 Page 4 CN 121598555 A

[0009] Optionally, the system further includes an artificial intelligence server, used to obtain data of the building and its electromechanical systems from the cloud database, generate abnormal information based on the data, and return the abnormal information to the cloud database. The abnormal information is used to indicate abnormal operating conditions within the building and its electromechanical systems. The digital twin management platform is also used to obtain abnormal information from the cloud database and issue alarms for the abnormal information.

[0010] Optionally, the system further includes an artificial intelligence server, used to obtain data of the building and its electromechanical systems from the cloud database, process the data based on building energy conservation and predictive maintenance algorithms to obtain operating strategies, and return the operating strategies to the cloud database. The operating strategies are used to indicate the operation and maintenance methods for the building and its electromechanical systems. The BMS is used to obtain the operating strategies through the cloud database and execute operation and maintenance operations for the building and its electromechanical systems based on the operating strategies.

[0011] Optionally, the system further includes an artificial intelligence server, used to obtain data on the building and its electromechanical systems from a cloud database, process the data based on machine learning algorithms to obtain control parameters, and return the control parameters to the cloud database. The control parameters are used to adjust the operating parameters of one or more devices within the building and its electromechanical systems. The BMS is used to obtain the control parameters through the cloud database and configure parameters based on the control parameters.

[0012] Traditional BAS typically adopts rule-based control methods or relies directly on the experience of maintenance personnel and personnel complaints for control. This control method often only guarantees the basic operation of the system and cannot provide effective energy optimization. This application realizes intelligent management and optimized utilization of buildings, their electromechanical systems, and resources. By integrating technologies such as artificial intelligence and machine learning, it comprehensively analyzes the real-time and historical data of the building to achieve optimal control and predictive maintenance of the building, effectively improving the building's operating efficiency and energy utilization efficiency.

[0013] In a second aspect, a building automation control method is provided, the method comprising: acquiring data of a building and its electromechanical system from a cloud database and visually displaying the operational data, wherein the data of the building and its electromechanical system includes one or more of the following: building information model (BIM) information of the building and its electromechanical system, building equipment management system (BMS) information, and Internet of Things (IoT) device information, wherein the BIM information includes static building data of the building, the BMS information includes static data and / or dynamic data obtained by the BMS from real-time monitoring of each device in the building and its electromechanical system, and the IoT device information includes data collected by sensors in the building, and the operational data is real-time dynamic data of the system determined based on the data of the building and its electromechanical system; acquiring a control command input by a user and sending the control command to the corresponding device in the building and its electromechanical system through the BMS, wherein the control command is used to regulate the control parameters corresponding to the device.

[0014] In a third aspect, embodiments of this application provide a computer-readable storage medium, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method described in the second aspect.

[0015] In a fifth aspect, embodiments of this application provide a computer program product that, when run on a mixed reality device, causes the mixed reality device to execute the building management method described in the second aspect above.

[0016] The beneficial effects of embodiments of this application compared with the prior art are:

[0017] Embodiments of this application provide a building automation control system that can improve the overall optimization and prediction capabilities of buildings, and intelligently maintain and manage buildings. It can provide a highly realistic building model, displaying the operating status and interrelationships of each subsystem in real time, enabling maintenance personnel to intuitively understand the overall situation of the building. Furthermore, by integrating and sharing data, the control system can eliminate information isolation and improve data integration and operability. In addition, the control system can analyze and predict data in building operations by coupling artificial intelligence algorithms, thereby providing decision support for building maintenance personnel, optimizing building energy consumption, and improving operational efficiency. Specification 2 / 11 Page 5 CN 121598555 A Description of Drawings

[0018] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 shows a schematic diagram of the structure of a building automation control system 100 provided in an embodiment of this application;

[0020] Figure 2 shows the user login interface and project selection function user interface of the digital twin management platform;

[0021] Figures 3A and 3B show the user interface of the project creation function of the digital twin management platform;

[0022] Figure 4 shows the user interface of the "device status viewing" function of the digital twin management platform;

[0023] Figure 5 shows the user interface of the "maintenance" function of the digital twin management platform;

[0024] Figure 6 shows the user interface of the "artificial intelligence optimization control" function of the digital twin management platform;

[0025] Figure 7 shows an exemplary flowchart of the building automation control method 200 provided in the embodiments of this application;

[0026] Figure 8 shows a structural schematic diagram of a digital twin management platform 300 provided in the embodiments of this application. Detailed Description

[0027] In the following description, specific details such as particular system structures and technologies are set forth for illustration rather than limitation in order to provide a thorough understanding of the embodiments of this application. However, it will be apparent to those skilled in the art that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods are omitted so as not to obscure the description of this application with unnecessary detail.

[0028] It should be understood that, when used in this specification and the appended claims, the term "comprising" indicates the presence of the described feature, integral, step, operation, element, and / or component, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or collections thereof.

[0029] It should also be understood that, as used in this specification and the appended claims, the term "and / or" refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0030] As used in this specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0031] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0032] References such as "one embodiment" or "some embodiments" described in this application mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Thus, in this specification...The phrases “in one embodiment,” “in some embodiments,” “in other embodiments,” and “in still other embodiments” appearing in the text do not necessarily refer to the same embodiment, but rather mean “one or more, but not all, embodiments,” unless otherwise specifically emphasized. The terms “comprising,” “including,” “having,” and variations thereof mean “including but not limited to,” unless otherwise specifically emphasized.

[0033] A building management system refers to a system that manages and maintains buildings and their equipment and facilities throughout their entire life cycle, including functions such as equipment operation monitoring, energy efficiency optimization, fault diagnosis and prevention, etc.

[0034] Currently, the automated control of buildings and their electromechanical systems mainly relies on a Building Management System (BMS), which is a common integration method for building automation control. It mainly achieves automated control of operating equipment through integration. However, with the rapid development of information technology, the amount of data that building automation control systems need to collect and control is increasing, and the dispersion and isolation between data pose challenges to the digital control function of the BMS. For example, building operation and maintenance work usually requires operators to go to the faulty equipment for inspection. Since electromechanical system equipment is usually hidden in the ceiling and the BMS lacks spatial information of the equipment in the building, locating the faulty equipment and conducting joint real-time data analysis becomes a time-consuming and labor-intensive task.

[0035] In view of this, the present application provides a building automation control system. Please refer to Figure 1, which is a schematic diagram of a building automation control system 100 provided in the present application. It should be noted that the building automation control system shown in Figure 1 is only an example. The system protected by this application may not necessarily include all the modules or components shown in Figure 1, and may only include some of the modules or components shown in Figure 1, and may also include other necessary modules or components other than those shown in Figure 1. This application does not limit this.

[0036] The building automation control system described in the present application is a digital twin system. The digital twin system provides a highly realistic building model and displays the operating status and interrelationships of each subsystem in real time, enabling operation and maintenance personnel to intuitively understand the overall situation of the building. Furthermore, by integrating and sharing data, the digital twin system can eliminate information isolation and improve the integration and operability of data. Furthermore, the digital twin system can analyze and predict data in building operations by coupling artificial intelligence algorithms, thereby providing decision support for building operation and maintenance personnel, optimizing building energy consumption, and improving operational efficiency.

[0037] As shown in Figure 1, the building automation control system includes: a cloud database and a digital twin management platform, and also includes multi-source data, and optionally, an artificial intelligence server. The cloud database is connected to the multi-source data and the digital twin management platform respectively.The platform and artificial intelligence server are connected.

[0038] The building automation control system is used to manage and control any building and its electromechanical system. It should be noted that the building and its electromechanical system in this application embodiment refers to the building to be managed and controlled in this application embodiment and the electromechanical system deployed in the building. The building mentioned in this application embodiment is just a general term, which can represent one or more rooms, a building, or a group of buildings. Its meaning depends on the specific application scenario, and this application does not limit it.

[0039] Among them, the cloud database is used to obtain the data of the building and its electromechanical system, that is, the multi-source data in Figure 1.

[0040] It can be understood that the multi-source data shown in Figure 1 refers to the data collected by multiple data acquisition devices (i.e., multiple data sources) on the local side of the building and its electromechanical system. That is, multi-source data can be a collection of data collected by multiple devices. As an example, the multiple devices include, for example, BIM modeling devices or model management devices, BMS, and IoT devices. This application does not limit it. It can be understood that the collection of these devices also belongs to the building automation control system described in this application.

[0041] BIM is a digital modeling method that integrates building project information through a three-dimensional model to achieve building design, management, and collaboration. BIM information refers to the static data containing semantics, geometry, and parameters of the BIM-based digital twin model corresponding to the building and its electromechanical systems.

[0042] As a possible example, the BIM information described in this application embodiment includes one or more of the following: equipment information of each device in the building and its electromechanical systems (including the name, type, etc. of each building element), geometric shape of each device in the building and its electromechanical systems (including the size, shape, etc. of each building element), component attributes (including the material, orientation, and relationships between different elements, etc. of each building element), schedule, cost estimation, etc. As can be seen from the above, BIM information can reflect the physical state of the building and its electromechanical systems.

[0043] BMS is a building equipment management system that can provide real-time monitoring and control of the building and its electromechanical systems. As one possible example, the BMS information includes one or more of the following: energy consumption, environmental parameters (such as real-time indoor temperature, outdoor air temperature, and other environmental parameters), equipment status, and control parameters of various devices within the building and its electromechanical systems.

[0044] IoT devices are intelligent devices connected to the Internet that can collect, transmit, and exchange various types of building monitoring data. As one possible example, the IoT device information includes various data (such as temperature, humidity, light intensity, smoke concentration, noise intensity, etc.) collected by sensors or gateways within the building from the interior and exterior environments, or the processing and analysis of the collected data.The data obtained afterward (such as energy consumption, temperature changes, etc.) reflects the dynamic state of the building and its electromechanical system. Specifically, for example, the IoT device information includes one or more of the following: the environmental conditions of the building, the operating status of each device in the building and its electromechanical system, and the behavior of users in the building.

[0045] Correspondingly, the data of the building and its electromechanical system includes one or more of the following: the building information model (BIM) information of the building and its electromechanical system, the building equipment management system (BMS) information, and the Internet of Things (IoT) device information. The BIM information includes the static building data of the building, and the BMS information includes the static data and / or dynamic data obtained by the BMS from real-time monitoring of each device in the building and its electromechanical system. The static data includes, for example, information such as pipelines and floors in the building and its electromechanical system, and the dynamic data includes, for example, real-time operating data of each device in the building and its electromechanical system and control points. The IoT device information includes the data collected by sensors in the building.

[0046] The cloud database can obtain multi-source data, that is, obtain multi-source data from the above-mentioned multiple devices, and use the multi-source data as the data of the building and its electromechanical system. In other words, the multiple devices corresponding to the aforementioned multi-source data are used to send the information they collect to the cloud database so that the cloud database can centrally manage it. That is, in the solution provided by the embodiments of this application, on the one hand, the static building information provided by BIM is provided to the cloud database, and on the other hand, the real-time operation data of the building and its electromechanical system obtained by the IoT device and the BMS system is transmitted to the cloud database, so that the cloud database can simultaneously manage the static data and dynamic data of the building and its electromechanical system.

[0047] The digital twin management platform is a terminal platform for display and control built through computer equipment. It can also be called terminal equipment (terminal), user equipment (UE), mobile station (MS), mobile terminal (MT), etc. Specifically, it can be a computer with a display screen, mobile phone, smart TV, wearable device, tablet computer (Pad), etc. This application does not limit the specific type of device used to implement the digital twin management platform.

[0048] In addition, a software system is installed on the digital twin management platform to support software installation, interface display, user input, signaling transmission and reception, etc. This application does not limit the type of the software system; it can be a Windows system, an Android system, or an iOS system, etc. These operating systems are widely used, support multiple programming languages ​​and development tools, and are compatible with various hardware and software, facilitating the development and deployment of the digital twin intelligent building management system.

[0049] In one possible implementation, the digital twin management platform supports data visualization functions. For example, the digital twin management platform is used to obtain data from a cloud database of the building and its electromechanical systems and to visualize the operating data of the building and its electromechanical systems. The operating data is real-time dynamic data of the system determined based on the data of the building and its electromechanical systems. As an example, the operating data includes, but is not limited to, one or more of the following: energy consumption, equipment status, and performance trends of the building and its electromechanical systems. Alternatively, the operating data may be the same as the data of the building and its electromechanical systems mentioned above, without limitation.

[0050] That is to say, the digital twin management platform has a display function and can visualize the operating data of the building and its electromechanical systems so that users can easily obtain the operating data of the building and its electromechanical systems in real time.

[0051] In one possible implementation, the digital twin management platform supports data interaction functions. For example, the digital twin management platform is also used to obtain control commands input by the user and send the control commands to the corresponding equipment in the building and its electromechanical systems through the BMS.

[0052] That is, the digital twin management platform includes an input system, which can be a built-in system or an external system. Furthermore, this application does not limit the method of user input control signals; input can be made via an external keyboard or through non-contact interactive methods such as voice.

[0053] In addition, the control command is used to regulate the operating data. For example, the control command can specifically be used to modify the parameters of one or more devices (such as air conditioners, chillers, etc.) within the building and its electromechanical system to regulate the operating data of the building and its electromechanical system. The BMS can modify the parameters of the building and its electromechanical system based on the control command.

[0054] In one possible implementation, the digital twin management platform also supports artificial intelligence-assisted decision-making functions. For example, the digital twin management platform is also used to process the data of the building and its electromechanical system through a first artificial intelligence model to obtain predicted data, and to visualize the predicted data, which is the predicted operating data of the building and its electromechanical system within a preset future time. In other words, the digital twin management platform can use advanced algorithms and models to predict future operating data of the building and its electromechanical systems, so as to provide suggestions for users when controlling the system. For example, if the digital twin management platform predicts that the temperature of a room in the building will drop above the set value in 20 minutes, it can suggest adjusting the air conditioning temperature in advance to improve the comfort of users in the building.

[0055] For another example, the digital twin management platform is also used to monitor the building and its electromechanical systems through a second artificial intelligence model.The system processes the data to obtain strategy information and visualizes the strategy information. This strategy information is a control strategy for the BMS generated based on preset control targets. For example, the digital twin management platform can use advanced algorithms and models to perform in-depth data analysis on the data of the building and its electromechanical systems to determine the control strategy that meets the control targets. Users can set the BMS through this control strategy.

[0056] In one possible implementation, the digital twin management platform also supports operation and maintenance support functions. For example, the digital twin management platform can use a third artificial intelligence model to process the data of the building and its electromechanical systems to estimate the health of each device in the building and its electromechanical systems, and visualize the health, so that operation and maintenance personnel can monitor the health of each device in real time through the digital twin management platform and replace devices with low health in a timely manner. For another example, the digital twin management platform is also used to obtain abnormal information from the cloud database and issue alarms for the abnormal information. The abnormal information is used to indicate abnormal operation in the building and its electromechanical systems. The abnormal information is issued by an artificial intelligence server, for example. For details, please refer to the description of the artificial intelligence server later. It will not be repeated here. This solution enables equipment health monitoring, fault detection, and real-time alarm functions.

[0057] Optionally, the system also includes an artificial intelligence server. The artificial intelligence server can acquire dynamic and static data and building model information from the cloud database to achieve functions such as equipment anomaly monitoring, strategy optimization, and parameter optimization.

[0058] In one possible implementation, the artificial intelligence server is used to perform anomaly detection functions. For example, the artificial intelligence server is used to acquire data of the building and its electromechanical system from the cloud database, generate anomaly information based on the data, and return the anomaly information to the cloud database. The anomaly information is used to indicate abnormal operating conditions within the building and its electromechanical system. Correspondingly, the digital twin management platform can acquire the anomaly information from the cloud database and issue an alarm for the anomaly information. In this way, anomaly alarms can be issued to maintenance personnel in a timely manner.

[0059] In the above solution, the artificial intelligence server can monitor and analyze the status of the building and its electromechanical system in real time, perform anomaly pattern recognition on the building and its electromechanical system, detect and analyze the system operating status in real time, and detect and report abnormal conditions in the operation of the building and its electromechanical system.

[0060] In one possible implementation, the artificial intelligence server is used to perform a strategy optimization function. For example, the artificial intelligence server is used to obtain data on the building and its electromechanical systems from the cloud database, process the data based on the building energy conservation and pre-construction maintenance algorithm to obtain an operating strategy, and return the operating strategy to the cloud database.The operation strategy is used to indicate the operation and maintenance method for the building and its electromechanical systems. Correspondingly, the BMS can obtain the operation strategy through the cloud database and perform operation and maintenance operations for the building and its electromechanical systems based on the operation strategy.

[0061] In the above scheme, a series of innovative building energy-saving and predictive maintenance algorithms can be installed on the artificial intelligence server, which can provide the best operation strategy for building operation and maintenance through data analysis.

[0062] In one possible implementation, the artificial intelligence server is used to perform parameter optimization functions. For example, the artificial intelligence server is used to obtain data of the building and its electromechanical systems from the cloud database, process the data based on machine learning algorithms to obtain control parameters, and return the control parameters to the cloud database. The control parameters are used to adjust the operation parameters of one or more devices in the building and its electromechanical systems. Correspondingly, the BMS is used to obtain the control parameters through the cloud database and perform parameter configuration based on the control parameters.

[0063] In the above solution, the artificial intelligence server can collect building operation data when the building is in different operating states, and use machine learning and other algorithms to intelligently optimize the start / stop status and operation mode of the building and its electromechanical systems, and adjust the system control parameters. These algorithms can, for example, control the start / stop of the chiller unit, adjust the chilled water temperature, and optimize the control of the pump group.

[0064] In summary, the embodiments of this application provide a building automation control system that can realize the integration and management of multi-source data in the building operation and maintenance stage, including various information in the building design stage in BIM, BAS operation data, real-time data collected by IoT sensors, etc., and optionally also include historical operation data of the building and its electromechanical systems. In this case, each device only needs to interact with the cloud database to realize data flow, reduce complex communication connections, and can also more conveniently display various types of data to users, providing more convenience for operation and maintenance personnel.

[0065] In one possible implementation, the control system also has a data interface that supports customization, thereby supporting further integration with new technologies that may emerge in the future.

[0066] In a further possible solution, the traditional parameter control method has been improved. For example, the determination of traditional control parameters is mainly based on the operator's experience and resident feedback, which may lead to unnecessary energy consumption and unsatisfactory indoor environmental comfort, and at the same time, it cannot effectively help buildings achieve energy-saving and indoor comfort optimization control. However, the control system in this application embodiment integrates intelligent control methods based on artificial intelligence and machine learning to achieve centralized intelligent control. Compared with traditional control methods, it can significantly improve system operating efficiency and maintenance effect, save building operating energy consumption and carbon consumption, and improve building operation management capabilities.

[0067] It can be understood that the digital twin management platform in the above-mentioned building automation control system in this application embodimentThe platform is used to provide visualization and interaction functions with users. The specific presentation of the visualization interface is not limited in this application. The following examples, in conjunction with Figures 2 to 6, illustrate some possible user interfaces for implementing certain functions. However, it should be understood that the user interfaces shown in Figures 2 to 6 are merely examples, intended to demonstrate the implementation of some functions, and do not limit the scope of this application.

[0068] Figure 2 shows the user login interface and the user interface for the project selection function of the digital twin management platform.

[0069] Figure 2(a) shows the user interface for the "login" function. In this user interface, users can log in to the platform using an account and password to display the projects corresponding to that account. That is, in the platform provided by this application, multiple projects can be managed through different accounts. Each project can correspond to a different system or the same system; this application does not impose any limitations.

[0070] Figure 2(b) shows the user interface for the "project selection function". In this user interface, users can select different building projects for monitoring and management. The digital model of each project is built on its original BIM. The user manual 7 / 11 pages 10 CN 121598555 A shows the display image of the project and the basic description information of the project on this interface. Clicking "Load Project" will allow you to enter the digital twin of the project for 3D walkthrough and view the composition and detailed information of the building and system.

[0071] Figures 3A and 3B show the user interface of the project creation function of the digital twin management platform. Users can create a new digital twin building project on this interface.

[0072] As an example, in response to the user clicking the "Create New Project" control shown in Figure 2(b), the interface shown in Figure 3A(a) can be entered. Figures 3A(a) to (c) and Figures 3B(d) to (e) show the five steps to implement this function, which are described in turn below:

[0073] Step 1: Upload BIM model. As shown in the interface of Figure 3A(a), in response to the user clicking the "Upload File" control and selecting the response file, the BIM model of the building project can be uploaded to generate a digital twin. The "Model File Format Requirements" in the upper right corner of the user interface describes the file format required for the BIM model of the project, and the file upload progress can be displayed in the lower right corner of the interface.

[0074] Second step: Upload historical building data. As shown in the interface of Figure 3A(b), in response to the user clicking the "Upload File" control and selecting the response file, historical monitoring data of equipment such as building chillers can be uploaded. This data can be used for the establishment of artificial intelligence models. The "Data File Format Requirements" in the upper right corner of the user interface describes the file format of the historical data, and the "Sample Download" on the right provides data templates for user reference.

[0075] Step 3: Artificial intelligence prediction based on historical data. As shown in the interface of Figure 3A(c), the artificial intelligence model is developed based on the uploaded data, and the building cooling load curve predicted by the artificial intelligence is shown in the left image. The upper right corner of the user interface provides the formula and parameter explanation for load calculation, and the lower right corner calculates and displays the prediction accuracy index.

[0076] Step 4: Connecting to real-time data. As shown in the interface of Figure 3B(d), in order to upload real-time data to a specified location in the database, a connection port is required. The left box shows the database information and data format that the user needs to connect to. The upper right corner of the interface explains the time series data connection and format requirements, and the lower right corner of the interface can display the connection progress.

[0077] Step 5: Receiving feedback information. As shown in the interface of Figure 3B(e), in order for the user to receive subsequent optimization control instructions and fault alarms, it is necessary to collect the user's contact information. The user can obtain the platform's feedback information by filling in "Email" and "MQTT". After confirming that everything is correct, click "Complete" to complete the construction of the digital twin building.

[0078] Figure 4 shows the user interface of the "Equipment Status View" function of the digital twin management platform. Users can query real-time and historical data of the equipment on this interface.

[0079] In the user interface of this system, users can view the building and its electromechanical system in the left area and view the three-dimensional digital twin model of a specific device. They can select the target device by 3D roaming within the digital twin, or they can search for the device by name or number on the interface. After selecting the target device, users can view the real-time data transmitted by the device's sensors on this interface. The parameters include the supply / return flow rate, temperature, and pressure of chilled water and cooling water; the valve opening of the chilled water and cooling water circuits; and the power, energy consumption, and pressure of the compressor and condenser. The specific parameter types depend on the characteristics of the equipment and the sensors installed on site. This interface can also query the historical data of the equipment. Users can select a historical date to view the operating status and parameter data of the equipment at a specific date and time. In addition, this interface can also visualize real-time and historical data. By clicking on a specific parameter, users can obtain a time series chart of the parameter's changes, allowing users to intuitively view the equipment's operating status.

[0080] Figure 5 shows the user interface of the "Maintenance" function of the digital twin management platform. In the system's user interface, users can view the 3D digital twin model of a specific device in the left area. The right side of the interface displays the device list and the device maintenance operation interface. Users can determine the target device by searching for its name or number. After determining the device, users can query its historical maintenance information. The device maintenance function interface displays the device's most recent maintenance time and status information (see page 8 / 11 of the device's manual, CN 121598555 A). This data can be uploaded by on-site maintenance personnel or compiled through this interface. Users can edit and compile data on this interface.Upload new maintenance records. These equipment maintenance records will be stored in the cloud for unified management and easy retrieval.

[0081] Figure 6 shows the user interface of the "Artificial Intelligence Optimized Control" function of the digital twin management platform.

[0082] On the upper side of the smart panel interface, users can view the start / stop status of the chiller unit for a specified date, as well as the equipment control strategy optimized by artificial intelligence calculation. This table can also be expanded to view the historical control status of the equipment. Based on the physical information of the air conditioning system provided by BIM and the real-time monitoring data and energy consumption data of the system provided by BMS, artificial intelligence can predict the system operating status of the central air conditioning system's air system at the next moment. Potential faults can be warned in advance in this smart panel. It can also simulate the indoor temperature field of the work area under different control strategies according to different set parameters, and optimize the indoor temperature setpoint of each air conditioning duct system terminal. The variable air volume (VAV) temperature setpoint recommended by the optimized control algorithm can be displayed on the smart building digital twin management system. Building operation and maintenance personnel can control the BMS system according to the artificial intelligence decision-making and remote control functions.

[0083] On the lower side of the smart panel, users can view the total supply / return water temperature change curve of the chiller unit over the past 24 hours. The supply / return water temperature difference in the graph reflects the efficiency, cooling load, and energy consumption of the refrigeration system. Simultaneously, artificial intelligence calculates efficient equipment start / stop control strategies and provides the optimal control strategy obtained by the algorithm to maintenance personnel in the chart below the smart panel, as well as the predicted supply / return water temperature change of the refrigerant unit after control according to the optimized control method. Users can refer to historical supply / return water temperature data and the equipment control and predicted parameter changes recommended by artificial intelligence to control the building and its electromechanical systems.

[0084] As can be seen from the above, the embodiments of this application can use 3D building models and data panels to display various information about the building. Compared to the traditional BAS user interface composed of two-dimensional building system diagrams, the user interface provided by the embodiments of this application is more user-friendly and easier to operate. This is because traditional BAS user interfaces typically contain a large amount of text and numerical information, requiring building maintenance personnel to undergo extensive training to understand the information on the BAS. In comparison, the user interface provided by this application has better readability and operability. Through functions such as project selection, creating new projects, equipment maintenance, AI-based optimization control, and equipment status monitoring, it possesses comprehensive, real-time, intelligent, and centralized management advantages. This digital twin user interface compensates for the lack of spatial information in traditional BAS and effectively solves the problem of information overload. This digital twin can effectively reduce the learning cost of building operation and maintenance management and improve work efficiency.

[0085] In summary, the embodiments of this application provide a building automation control system that can improve the overall optimization of buildings.The system provides intelligent maintenance and management capabilities for buildings. It can provide highly realistic building models to display the real-time operating status and interrelationships of various subsystems, enabling maintenance personnel to intuitively understand the overall condition of the building. Furthermore, by integrating and sharing data, the control system can eliminate information silos and improve data integration and operability. In addition, the control system can analyze and predict data in building operations by coupling artificial intelligence algorithms, thereby providing decision support for building maintenance personnel, optimizing building energy consumption, and improving operational efficiency.

[0086] Compared to the building automation control system described in the above embodiments, this application also provides a corresponding method 200. This method is applied to the digital twin management platform in the building automation control system. It is understood that the functional description of the digital twin management platform can be referred to the embodiment corresponding to Figure 1, and is only described exemplarily here.

[0087] S201: The digital twin management platform obtains data about the building and its electromechanical systems from the cloud database of the building automation control system.

[0088] S202: The digital twin management platform visualizes and displays the operating data.

[0089] For example, the data of the building and its electromechanical system includes one or more of the following information: Building Information Model (BIM) information of the building and its electromechanical system, Building Management System (BMS) information, Internet of Things (IoT) device information, BIM information specification 9 / 11 pages 12 CN 121598555 A including static building data, BMS information including static and / or dynamic data obtained by the BMS from real-time monitoring of various devices in the building and its electromechanical system, and IoT device information including data collected by sensors in the building. This operational data is the real-time dynamic data of the system determined based on the data of the building and its electromechanical system.

[0090] S203, the digital twin management platform obtains the control command input by the user.

[0091] S204, the digital twin management platform sends the control command to the corresponding device in the building and its electromechanical system through the BMS.

[0092] For example, the control command is used to regulate the control parameters corresponding to the device.

[0093] Optionally, the digital twin management platform also supports artificial intelligence-assisted decision-making functions. An exemplary description follows.

[0094] Optionally, in one possible implementation, the digital twin management platform processes the data of the building and its electromechanical systems using a first artificial intelligence model to obtain predictive data, and visualizes the predictive data, wherein the predictive data is the predicted operating data of the building and its electromechanical systems within a preset future time period.

[0095] Optionally, in one possible implementation, the digital twin management platform processes the data of the building and its electromechanical systems using a second artificial intelligence model to obtain strategy information, and visualizes the strategy information, wherein the...The strategy information is a control strategy for the BMS generated based on a preset control target.

[0096] Optionally, in one possible implementation, the digital twin management platform obtains abnormal information from the cloud database and issues an alarm for the abnormal information, which is used to indicate abnormal operation in the building and its electromechanical system.

[0097] It is understood that the digital twin management platform in method 200 corresponds to the digital twin management platform in the building automation control system 100 in Figure 1. Therefore, the parts of method 200 that are not detailed can be referred to the relevant description in Figure 1, and will not be repeated here.

[0098] It should be understood that the order of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0099] As shown in FIG8, this application embodiment also provides a digital twin management platform 300, which includes: at least one processor 310, a memory 320, and a computer program 321 stored in the memory and executable on the at least one processor. When the processor executes the computer program, it implements the steps in any of the above method embodiments.

[0100] This application embodiment also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the steps in the above method embodiments.

[0101] This application embodiment provides a computer program product. When the computer program product is run on a mobile terminal, the mobile terminal executes it to implement the steps in the above method embodiments.

[0102] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above embodiment methods can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, it implements the steps in the above method embodiments. The computer program includes computer program code, which may be in the form of source code, object code, executable file, or some intermediate form. The computer-readable medium, as described on page 10 / 11 of CN 121598555 A, may include: any entity or device capable of carrying the computer program code to the photographing device / terminal device, a recording medium, a computer memory, a read-only memory (ROM), or a random access memory (RAM).Memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electrical carrier signals or telecommunication signals.

[0103] In the above embodiments, the descriptions of each embodiment have different focuses. Parts not detailed or recorded in a certain embodiment can be referred to the relevant descriptions of other embodiments.

[0104] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0105] In the embodiments provided in this application, it should be understood that the disclosed apparatus / network devices and methods can be implemented in other ways. For example, the device / network equipment embodiments described above are merely illustrative. For example, the division of modules or units is merely a logical functional division, and there may be other division methods in actual implementation. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling or direct coupling or communication connection may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0106] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of this embodiment.

[0107] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them; although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application. Specification 11 / 11 pages 14 CN 121598555 A Figure 1 Specification Drawings 1 / 7 pages 15 CN 121598555 A Figure 2 Specification Drawings 2 / 7 pages 16 CN 121598555 A Figure 3A Specification Drawings 3 / 7 pages 17CN 121598555 A Figure 3B Drawing Sheets 4 / 7 Page 18 CN 121598555 A Figure 4 Figure 5 Drawing Sheets 5 / 7 Page 19 CN 121598555 A Figure 6 Figure 7 Drawing Sheets 6 / 7 Page 20 CN 121598555 A Figure 8 Drawing Sheets 7 / 7 Page 21 CN 121598555 A ABSTRACT This application is applicable to the field of construction, and in particular to the field of building operation and maintenance management. The present invention provides a building automation control system and method, which can integrate various data of a building and the electromechanical systems thereof, and facilitate centralized management. Furthermore, the present invention optimizes the control strategies for the building and the electromechanical systems thereof through artificial intelligence technology, and improves user experience. In the system for building automation control, a cloud database is used to centrally manage various data of the building and the electromechanical systems thereof, including static and / or dynamic data of the building and the electromechanical systems thereof. In addition, a digital twin management platform is provided to provide functionssuch as data visualization, parameter control, fault alarm, data prediction, and strategy recommendations for the building and its electromechanical systems.

Claims

1. A building automation control system, characterized in that, The system is a digital twin system, which includes: a cloud database and a digital twin management platform connected to the cloud database; The cloud database is used to acquire data about the building and its electromechanical systems. The data includes one or more of the following: Building Information Model (BIM) information of the building and its electromechanical systems, Building Management System (BMS) information, and Internet of Things (IoT) device information. The BIM information includes static building data of the building. The BMS information includes static and / or dynamic data obtained by the BMS from real-time monitoring of various devices within the building and its electromechanical systems. The cloud database is bidirectionally connected to the BMS. The IoT device information includes data collected by sensors within the building. The digital twin management platform, built using computer equipment, is used to acquire data from the cloud database of the building and its electromechanical systems and to visualize the operational data, wherein the operational data is real-time dynamic data of the system determined based on the data of the building and its electromechanical systems; and to acquire control commands input by users and send the control commands to the corresponding devices within the building and its electromechanical systems through the BMS, wherein the control commands are used to adjust the control parameters of the corresponding devices.

2. The system according to claim 1, characterized in that, The digital twin management platform is also used to process the data of the building and its electromechanical system through a first artificial intelligence model to obtain predictive data, and to visualize the predictive data, which is the predicted operating data of the building and its electromechanical system within a preset time period in the future.

3. The system according to claim 1, characterized in that, The digital twin management platform is also used to process the data of the building and its electromechanical system through a second artificial intelligence model to obtain strategy information, and to visualize the strategy information. The strategy information is a control strategy for the BMS generated based on a preset control target.

4. The system according to any one of claims 1 to 3, characterized in that, The system also includes an artificial intelligence server, which is used to obtain data of the building and its electromechanical system from the cloud database, generate abnormal information based on the data, and return the abnormal information to the cloud database. The abnormal information is used to indicate abnormal operating conditions within the building and its electromechanical system. The digital twin management platform is also used to obtain the abnormal information from the cloud database and issue an alarm for the abnormal information.

5. The system according to any one of claims 1 to 3, characterized in that, The system also includes an artificial intelligence server, which is used to obtain data of the building and its electromechanical system from the cloud database, process the data based on building energy conservation and predictive maintenance algorithms to obtain an operation strategy, and return the operation strategy to the cloud database. The operation strategy is used to indicate the operation and maintenance method for the building and its electromechanical system. The BMS is used to obtain the operation strategy through the cloud database and perform operation and maintenance operations on the building and its electromechanical systems based on the operation strategy.

6. The system according to any one of claims 1 to 3, characterized in that, The system also includes an artificial intelligence server, which is used to obtain data of the building and its electromechanical system from the cloud database, process the data based on machine learning algorithms to obtain control parameters, and return the control parameters to the cloud database. The control parameters are used to adjust the operating parameters of one or more devices in the building and its electromechanical system. The BMS is used to obtain the control parameters through the cloud database and configure the parameters based on the control parameters.

7. The system according to any one of claims 1 to 3, characterized in that, The BIM information includes one or more of the following: the geometry, component attributes, time schedule, cost estimate, equipment information, and visualization model of each piece of equipment within the building and its electromechanical system; The BMS information includes one or more of the following: energy consumption, environmental parameters, status of each device, and control parameters of each device; The IoT device information includes one or more of the following: environmental conditions, the operating status of each device, and the behavior of users within the building; The digital twin management platform visualizes the operational data of the building and its electromechanical systems, including one or more of the following: energy consumption, equipment status, performance trends, and optimization results of the building and its electromechanical systems. The optimization results are obtained by processing the data of the building and its electromechanical systems through an artificial intelligence server in the system. The optimization results include one or more of the following: alarm information, operating strategies, and optimized control parameters. The alarm information is used to indicate abnormal operating conditions within the building and its electromechanical systems. The operating strategies are used to indicate the operation and maintenance methods for the building and its electromechanical systems. The optimized control parameters are used to adjust the operating parameters of each piece of equipment within the building and its electromechanical systems.

8. A building automation control method, characterized in that, The method includes: The system acquires data from a cloud database and visualizes operational data related to the building and its electromechanical systems. This data includes one or more of the following: Building Information Model (BIM) information, Building Management System (BMS) information, and Internet of Things (IoT) device information. The BIM information includes static building data, the BMS information includes static and / or dynamic data obtained from real-time monitoring of various devices within the building and its electromechanical systems by the BMS, the cloud database is bidirectionally connected to the BMS, the IoT device information includes data collected by sensors within the building, and the operational data is real-time dynamic data of the system determined based on the data from the building and its electromechanical systems. The system acquires control commands input by the user and sends these commands to the BMS. The control commands are used to regulate the operating data.

9. The method according to claim 8, characterized in that, The method further includes: Predictive data is obtained by processing the data of the building and its electromechanical systems using a first artificial intelligence model, and the predicted data is visualized. The predicted data represents the predicted operational data of the building and its electromechanical systems within a predetermined future timeframe; and / or, The data of the building and its electromechanical systems are processed by a second artificial intelligence model to obtain strategy information, which is then visualized. This strategy information is a control strategy for the BMS generated based on preset control targets; and / or, The system retrieves abnormal information from the cloud database and issues an alarm for the abnormal information, which is used to indicate abnormal operating conditions within the building and its electromechanical systems.

10. A digital twin management platform, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method as described in claim 8 or 9.

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