Building electromechanical engineering intelligent management platform and system based on digital twinning and medium

Abstract

The invention discloses a digital twinning-based building electromechanical engineering intelligent management platform and system and a medium, and relates to the field of digital twinning, in the platform, total factor data are integrated through a unified digital model module, unified management of full life cycle data of electromechanical projects is realized, and information islands are avoided; a data format and an interaction standard are standardized through a global data interconnection standard system module, a data barrier of each link is broken through, and smooth circulation of information is ensured; automatic acquisition of real-time data of each link is realized through the function port module, and reliable data support is provided; three-party linkage of drawings, models and engineering quantities is realized through the data driving decision module, so that the initiative and predictability of management are improved; and lightweight processing and multi-party real-time collaboration of large-volume model data are realized through the model engine and the collaborative management module, so that the overall execution efficiency of a project is improved.

Description

Technical Field

[0001] This application belongs to the field of digital twins, and in particular relates to intelligent management platforms, systems and media for building electromechanical engineering based on digital twins. Background Technology

[0002] As the scale of building electromechanical engineering projects continues to expand, the traditional decentralized management model can no longer meet the needs of engineering construction. However, the traditional construction model is mainly based on "project-based construction," and information silos exist in each link (design, manufacturing, construction, operation and maintenance). This leads to a disconnect between drawings and on-site construction, and a lack of linkage between models and engineering quantities, resulting in low collaboration efficiency. Resource allocation relies on experience-based judgment, making it difficult to dynamically match project schedule requirements, resulting in resource waste or shortages. There are gaps in the whole life cycle management. The design phase does not fully consider manufacturing and operation and maintenance needs, and the operation and maintenance phase lacks complete digital data support, resulting in low overall project efficiency, high costs, and great difficulty in quality control.

[0003] In related technologies, BIM technology is widely used in the design phase for 3D modeling and integrated pipeline design; MES systems are used in the manufacturing phase for production process management; project management systems are developed in the construction phase for progress and quality tracking; and building management systems are used in the operation and maintenance phase for equipment monitoring. Some platforms have already achieved on-site data collection based on IoT technology, which can obtain real-time information on personnel, equipment, and the environment at the construction site through sensors.

[0004] However, existing technologies have not yet achieved end-to-end data connectivity and supply chain collaboration, making it difficult to support the implementation of the EPC (Engineering, Procurement, and Construction) + O&M model and failing to meet the industry's digital transformation needs. This situation needs further improvement. Summary of the Invention

[0005] This application provides a digital twin-based intelligent management platform, system, and medium for building electromechanical engineering, addressing the problems of fragmented data and low collaborative efficiency throughout the entire lifecycle of electromechanical engineering projects. This method achieves full-element data integration by constructing a unified digital model, ensures data interconnectivity across all stages through standardized interfaces, collects real-time data via multi-functional ports, utilizes a data-driven decision-making module for intelligent analysis and early warning, and enables efficient multi-party collaboration through a lightweight engine, ultimately improving the construction quality and management efficiency of electromechanical engineering projects.

[0006] Firstly, this application provides a digital twin-based intelligent management platform for building electromechanical engineering, including: The unified digital model module is used to build a digital model covering the entire life cycle of electromechanical projects. The unified digital model includes all elements of data such as design parameters, material information, processing technology, installation specifications and operation and maintenance requirements. The full-domain data interconnection standard system module is connected to the unified digital model module and is used to receive the full-element data and standardize the data format and interaction standards of each link. The functional port module, connected to the global data interconnection standard system module, includes a design port, a manufacturing port, a construction port, and an operation and maintenance port, used to collect real-time data from each stage based on the data format and interaction standard; The data-driven decision-making module is connected to the functional port module and is used to receive the real-time data and realize the three-way linkage of drawings, models and engineering quantities to generate project early warning information and optimization schemes. The model engine and collaborative management module are connected to the unified digital model module and the data-driven decision-making module, respectively, to perform lightweight processing on the unified digital model and to achieve multi-party collaboration based on the early warning information and optimization scheme.

[0007] As an optimization of a digital twin-based intelligent management platform for building electromechanical engineering, the unified digital model module also includes: The version management unit is used to record model modification traces and data update logs. The output data of the version management unit is connected to the global data interconnection standard system module.

[0008] As an optimization of a building electromechanical engineering intelligent management platform based on digital twins, the functional port module includes: The design port is connected to BIM tools via a data interface to enable automatic import of design data; The manufacturing port is connected to the production system through a data acquisition unit to enable parametric processing of components; The construction port collects on-site data through IoT devices to monitor construction progress. The operation and maintenance port collects operational data through sensing devices to enable equipment status early warning.

[0009] As an optimization of a digital twin-based intelligent management platform for building electromechanical engineering, the data-driven decision-making module includes: The data analysis unit is used to process the real-time data collected by the functional port module; An early warning system, connected to the data analysis unit, is used to generate early warning information based on the analysis results; An optimization scheme generator, connected to the early warning system, is used to output optimization schemes based on early warning information.

[0010] As an optimization of a digital twin-based intelligent management platform for building electromechanical engineering, the model engine and collaborative management module include: A data compression processing unit is used to perform lightweight processing on the unified digital model; A collaborative workflow unit, connected to the data compression and processing unit, is used to build a business flow docking channel; The access control unit, connected to the collaborative workflow unit, is used to control the data access permissions of each participant, including the design institute, the general contractor, the electromechanical installation subcontractor, the manufacturing plant, the operation and maintenance management unit, and the owner.

[0011] As an optimization of a digital twin-based intelligent management platform for building electromechanical engineering, the manufacturing port also includes: The intelligent prefabricated component splitting unit is used to generate component splitting plans based on construction site conditions, transportation restrictions, and installation procedures. A capacity balance control unit, connected to the prefabricated component intelligent disassembly unit, is used to optimize production scheduling based on factory capacity and on-site installation plan; The quality traceability unit, connected to the capacity balance control unit, is used to record the quality data of the entire process of component production, transportation and installation using blockchain technology.

[0012] As an optimization of a digital twin-based intelligent management platform for building electromechanical engineering, the construction port also includes: The intelligent process sequencing unit is used to generate the optimal construction sequence for multi-disciplinary cross-operations based on construction constraints. The resource scheduling unit, connected to the intelligent process sequencing unit, is used to optimize the configuration of personnel, equipment and materials at the construction site in real time. The construction coordination unit, connected to the resource scheduling unit, is used to realize intelligent early warning and conflict coordination for multi-disciplinary construction processes.

[0013] Secondly, embodiments of this application provide a building electromechanical engineering intelligent management system based on digital twins, comprising: one or more processors and a memory; the memory is coupled to one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and one or more processors invoke the computer instructions to cause the system to perform the functions of the platform as described in the first aspect and any possible implementation thereof.

[0014] Thirdly, embodiments of this application provide a computer-readable storage medium including instructions that, when executed on a system, cause the system to perform the functions of the platform as described in the first aspect and any possible implementation thereof.

[0015] Fourthly, embodiments of this application provide a computer program product that, when run on a system, causes the system to perform the functions of the platform as described in any possible implementation of the first aspect.

[0016] Compared to existing technologies, the advantages of this application are as follows: 1. This application provides a digital twin-based intelligent management platform for building electromechanical engineering. Through a unified digital model module, it integrates all-element data, achieving unified management of data throughout the entire lifecycle of electromechanical projects and avoiding information silos. Through a full-domain data interconnection standard system module, it standardizes data formats and interaction standards, breaking down data barriers at each stage and ensuring smooth information flow. Through functional port modules, it enables automatic real-time data collection at each stage, providing reliable data support. Through a data-driven decision-making module, it achieves three-way linkage between drawings, models, and quantities, enhancing the initiative and foresight of management. Through a model engine and collaborative management module, it enables lightweight processing of large-scale model data and real-time multi-party collaboration, improving the overall project execution efficiency.

[0017] 2. This application provides a building electromechanical engineering intelligent management platform based on digital twins. By adding a prefabricated component intelligent disassembly unit, a production capacity balance control unit and a quality traceability unit at the manufacturing port, it realizes intelligent component disassembly design, production plan optimization and full-process quality control.

[0018] 3. This application provides a building electromechanical engineering intelligent management platform based on digital twins. By adding a process intelligent sequencing unit, resource scheduling unit and construction collaboration unit at the construction port, it realizes intelligent sequencing of multi-disciplinary construction, real-time optimization of resource allocation and intelligent early warning of construction process, thereby improving the efficiency of prefabricated construction, reducing the difficulty of construction site management and ensuring project quality. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the modules of the intelligent management platform for building electromechanical engineering based on digital twins in this application embodiment.

[0020] Figure 2 This is a schematic diagram of another module of the intelligent management platform for building electromechanical engineering based on digital twins in this application embodiment.

[0021] Figure 3 This is a schematic diagram of the physical device structure of the intelligent management system for building electromechanical engineering based on digital twins provided in the embodiments of this application. Detailed Implementation

[0022] The terminology used in the following embodiments of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of this application. As used in the specification and appended claims of this application, the singular expressions “a,” “an,” “the,” “the,” “the,” and “this” are intended to include the plural expressions as well, unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in this application refers to any or all possible combinations including one or more of the listed items.

[0023] Hereinafter, the terms "first" and "second" are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature, and in the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more.

[0024] In the field of building electromechanical engineering, as project scale and complexity continue to increase, the traditional decentralized management model can no longer meet the needs of intelligent construction and building industrialization.

[0025] Although BIM technology has been introduced for 3D modeling and information systems have been used for project management, problems such as data fragmentation, low collaboration efficiency, and delayed decision-making still exist in various stages.

[0026] This application is primarily applied to large-scale electromechanical installation engineering projects, especially those adopting the "EPC+O" (Engineering, Procurement, and Construction) model. In these application scenarios, design, manufacturing, construction, and operation and maintenance are closely intertwined, requiring the construction of a unified data model based on digital twin technology to achieve intelligent management throughout the entire process. To address the aforementioned technical issues, this application provides an intelligent management platform for building electromechanical engineering based on digital twins. An embodiment is described below, combined with... Figure 1 The following describes the intelligent management platform for building electromechanical engineering based on digital twins in the embodiments of this application: Please see Figure 1 This is a schematic diagram of a module of the intelligent management platform for building electromechanical engineering based on digital twins, as described in this application embodiment. This platform utilizes technologies such as the Internet of Things, big data, and cloud computing to construct an intelligent construction platform encompassing all levels, processes, elements, chains, and dimensions. It achieves online collaboration and information sharing between organizations through full-level cloud-based collaboration; it implements process control and quality traceability through unified standards in full-process coding management; it integrates engineering data elements through full-element data fusion and improves configuration efficiency; it standardizes delivery standards and digital asset delivery at each stage through full-chain digital delivery; and it constructs a knowledge graph through full-dimensional intelligent decision-making to support intelligent analysis and early warning.

[0027] The intelligent management platform for building electromechanical engineering based on digital twins provided in this application includes a unified digital model module, a full-domain data interconnection standard system module, a functional port module, a data-driven decision-making module, and a model engine and collaborative management module. The unified digital model module constructs a digital model covering the entire lifecycle of the electromechanical project through the fusion of all-element data. The full-domain data interconnection standard system module implements full-process coding management to standardize data formats and interaction standards. The functional port module supports real-time data collection at each stage of the entire digital delivery chain. The data-driven decision-making module provides multi-dimensional intelligent decision support, generating project early warning information and optimization solutions. The model engine and collaborative management module achieves full-level cloud collaboration, promoting efficient multi-party cooperation and breaking down information silos, improving management efficiency and accuracy. This is because the unified digital model module provides a foundation of full-element data, the full-domain data interconnection standard system module ensures the standardized flow of data, the functional port module realizes data collection at each stage, the data-driven decision-making module makes effective decisions based on the collected data, and the model engine and collaborative management module promote efficient multi-party collaboration.

[0028] Specifically, the unified digital model module includes a building unit for constructing digital models and a version management unit for recording model modification traces and data update logs.

[0029] The building unit utilizes BIM technology to construct a high-precision, standardized digital model that effectively simulates actual electromechanical projects. This digital model can be a three-dimensional representation, intuitively showcasing the layout and connections of electromechanical equipment. BIM technology is widely used in the construction industry; here, it's used to build a digital model covering all stages of the electromechanical project's lifecycle. The comprehensive data includes production element data (personnel, equipment, materials, processes, construction environment) and management element data (progress, quality, safety). This data is reflected in specific information such as design parameters, material information, processing techniques, installation specifications, and operation and maintenance requirements. While emerging digital modeling technologies can be used, the inclusion of all the aforementioned comprehensive data elements is essential. The version management unit records every modification to the model and data update logs. For example, when a designer modifies a device's parameters, the version management unit records the modification time, content, and the person who made the change. This information can be stored in a database, or alternatively, a distributed file system, ensuring accurate recording and easy retrieval of this crucial information. The output data of the version management unit will be connected with the global data interconnection standard system module to transmit the latest information of the model.

[0030] The unified digital model module first constructs the initial digital model through building units, and then the version management unit continuously records changes to the model during project progress. This approach ensures that all stakeholders can use a consistent and accurate model version throughout the entire lifecycle of the electromechanical project, avoiding collaboration errors caused by inconsistent model versions and greatly improving the efficiency and accuracy of collaborative work.

[0031] Specifically, the global data interconnection standard system module includes a data receiving unit and a standards setting unit. The data receiving unit is responsible for receiving all-element data from the unified digital model module. It can be a data interface specifically designed to receive data in various formats. This interface must have a certain degree of compatibility, adapting to data input from different sources. Understandably, data gateways or similar devices can also be used to implement the data receiving function. The standards setting unit, based on the received data, standardizes the data formats and interaction standards at each stage by writing a series of data rules and protocols, such as specifying data storage formats and transmission protocols.

[0032] The global data interconnection standard system module first receives data through the data receiving unit, and then the standard setting unit formulates appropriate data formats and interaction standards based on these data, so that data from different links can circulate and interact according to unified rules, breaking down the barriers between information and enabling data to be transmitted and shared more smoothly between modules.

[0033] Specifically, the functional port modules include a design port, a manufacturing port, a construction port, and an operation and maintenance port. The design port includes a data interface for connecting to BIM tools and an import unit for automatically importing design data. The data interface connects the design port and the BIM tools; it can be a network interface supporting multiple data transmission protocols to communicate with different BIM tools. It can also use short-range communication methods such as Bluetooth. The import unit automatically imports design data from the BIM tools into the system after connection. This is achieved through specific program scripts, or by using general data import plugins. The manufacturing port includes a connection unit that connects to the production system via a data acquisition unit, and a processing unit for parametric fabrication of components. The data acquisition unit can be sensors or other devices used to collect various data from the production system, such as equipment operating status and production progress, or it can be a data logger. The connection unit is responsible for transmitting the data collected by the data acquisition unit to the processing unit via wired or wireless networks. The processing unit performs parametric fabrication on the components based on the received data, that is, producing the components according to pre-set parameters. The construction port includes a data acquisition unit that collects on-site data via IoT devices, and a monitoring unit for monitoring construction progress. IoT devices, such as cameras and sensors, are distributed throughout the construction site to collect data on construction progress, quality, and safety in real time. The monitoring unit monitors the construction progress in real time based on the collected data and issues timely alerts if any abnormalities are detected. The operation and maintenance port includes a data acquisition unit that collects operational data via sensing devices, and an early warning unit for providing equipment status warnings. Sensing devices, such as temperature and pressure sensors, are installed on electromechanical equipment to collect operational data in real time. The early warning unit analyzes the collected operational data to assess the equipment status and issues timely warning signals if any abnormalities are detected.

[0034] Each port in the functional port module targets the design, manufacturing, construction, and operation and maintenance stages, collecting and processing data from each stage through corresponding units. This combination ensures that data from each stage is accurately collected and utilized, providing a reliable data foundation for subsequent data-driven decision-making. Data from all ports is then uniformly aggregated into the data-driven decision-making module for comprehensive analysis and decision-making.

[0035] The data-driven decision-making module includes a data analysis unit, an early warning system, and an optimization solution generator. The data analysis unit receives real-time data collected by the functional port modules and processes, statistically analyzes, and processes this data. It can employ big data analytics to mine and analyze massive amounts of data. The early warning system connects to the data analysis unit and, based on the data analysis results, determines whether there are risks related to project progress, resource allocation, cost consumption, and quality and safety. If risks are found, it generates early warning information. It can assess risks by setting a series of thresholds; once the data exceeds the threshold, an early warning is issued. Alternatively, it can use neural network models for risk prediction and early warning. The optimization solution generator connects to the early warning system and outputs corresponding optimization solutions based on the early warning information. It pre-sets a series of optimization strategies based on different early warning situations and then selects the appropriate strategy to generate the optimization solution based on the actual situation.

[0036] The data analysis unit first processes and analyzes the data, then the early warning system identifies potential risks and issues warnings based on the analysis results, and finally the optimization solution generator generates optimized solutions based on the warning information. This combined approach achieves three-way linkage between drawings, models, and engineering quantities, enabling dynamic output of early warning information and optimized solutions, upgrading the supply chain management system from passive response to proactive prevention and control.

[0037] Specifically, the model engine and collaborative management module includes a data compression processing unit, a collaborative workflow unit, and a permission management unit. The data compression processing unit performs lightweight processing on the unified digital model, removing redundant data and unnecessary details to enable rapid loading and sharing of large models. This lightweighting can be achieved using technologies such as 3D model compression algorithms. The collaborative workflow unit connects to the data compression processing unit, establishing a business flow interface between the model information flow and management data. It supports real-time collaboration among multiple participants and can automate and coordinate business processes through a workflow engine or a cloud-based collaborative workflow system. The permission management unit connects to the collaborative workflow unit, controlling data access permissions for each participant, including design institutes, general contractors, electromechanical installation subcontractors, manufacturing plants, operation and maintenance units, and the owner. Different data access permissions can be assigned based on the roles and responsibilities of each participant. This can be achieved using role-based access control or attribute-based access control.

[0038] The model engine and collaboration management module first perform lightweight processing on the model through the data compression processing unit, then the collaboration workflow unit builds a docking channel to promote multi-party collaboration, and finally the permission management unit controls the data access permissions of each participant.

[0039] In the above embodiments, this platform provides a comprehensive data foundation through a unified digital model module, standardizes data flow through a full-domain data interconnection standard system module, collects real-time data from each stage through a functional port module, makes effective decisions based on data through a data-driven decision-making module, and promotes multi-party collaboration through a model engine and collaborative management module. This comprehensive architecture solves the problems of information silos and inefficient collaboration in traditional building electromechanical engineering management models, significantly improving project management efficiency and accuracy while reducing costs and risks.

[0040] In the above embodiments, although the functional port module realizes the collection of data at each stage, further improvements in the intelligence level of precast component production and on-site construction are still needed in the specific application scenarios of the manufacturing and construction ports. However, problems such as the design of precast component breakdown, production scheduling and quality traceability in electromechanical engineering, as well as the process sequencing, resource scheduling and multi-disciplinary collaboration on the construction site, have not been well resolved. To further optimize the functions of the manufacturing and construction ports, this application embodiment also provides another intelligent management platform for building electromechanical engineering based on digital twins. The following is in conjunction with... Figure 2 Another intelligent management platform for building electromechanical engineering based on digital twins is described in the embodiments of this application: Please see Figure 2 This is a schematic diagram of another module of a building electromechanical engineering intelligent management platform based on digital twins in an embodiment of this application.

[0041] The difference from the above embodiments lies in that the manufacturing port also includes a prefabricated component intelligent splitting unit, a capacity balancing control unit, and a quality traceability unit. The prefabricated component intelligent splitting unit can generate a reasonable component splitting scheme based on factors such as construction site conditions, transportation restrictions, and installation procedures. It can use intelligent algorithms, combined with actual site and transportation conditions, to calculate the optimal splitting method. The capacity balancing control unit is connected to the prefabricated component intelligent splitting unit and optimizes production scheduling based on factory capacity and on-site installation plans. It can monitor the factory's production capacity and on-site installation needs in real time and rationally arrange the production schedule. The quality traceability unit is connected to the capacity balancing control unit and uses blockchain technology to record quality data throughout the entire process of component production, transportation, and installation. Blockchain technology has the characteristics of immutability and traceability, which can ensure the authenticity and integrity of quality data. Distributed ledger technology can also be used to achieve the recording and traceability of quality data.

[0042] The capacity balance control unit interacts with the construction port to obtain real-time on-site installation plans and progress information, thereby achieving precise alignment between factory production and on-site installation. Component quality data recorded by the quality traceability unit is also synchronously transmitted to the construction port, providing a basis for quality assurance during on-site construction.

[0043] Furthermore, the construction interface also includes a process intelligent sequencing unit, a resource scheduling unit, and a construction collaboration unit. The process intelligent sequencing unit generates the optimal construction sequence for multi-disciplinary cross-operations based on construction constraints, such as the order of different professional construction tasks and site limitations. It identifies the optimal combination of construction procedures through construction process simulation, or uses optimization algorithms such as genetic algorithms to determine the construction sequence. The resource scheduling unit connects to the process intelligent sequencing unit, optimizing the allocation of personnel, equipment, and materials at the construction site in real time, and rationally allocating resources according to the construction progress and process arrangement. The construction collaboration unit connects to the resource scheduling unit, enabling intelligent early warning and conflict coordination for multi-disciplinary construction processes. It can monitor various situations during construction in real time and promptly coordinate any conflicts detected.

[0044] In the above embodiments, by adding a prefabricated component intelligent disassembly unit, a production capacity balance control unit, and a quality traceability unit at the manufacturing port, intelligent component disassembly design, production plan optimization, and full-process quality control are realized; by adding a process intelligent sequencing unit, a resource scheduling unit, and a construction collaboration unit at the construction port, intelligent sequencing of multi-disciplinary construction, real-time optimization of resource allocation, and intelligent early warning of the construction process are realized, which significantly improves the efficiency of prefabricated construction, reduces the difficulty of construction site management, and ensures project quality.

[0045] The system in the embodiments of this invention is described below from the perspective of hardware processing. Please refer to [link / reference needed]. Figure 3 This is a schematic diagram of the physical device structure of an intelligent management system for building electromechanical engineering based on digital twins, provided in an embodiment of this application.

[0046] It should be noted that, Figure 3 The structure of the system shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of the present invention.

[0047] like Figure 3 As shown, the system includes a Central Processing Unit (CPU) 301, which can perform various appropriate actions and processes based on a program stored in Read-Only Memory (ROM) 302 or a program loaded from storage portion 308 into Random Access Memory (RAM) 303, such as executing the methods described in the above embodiments. The RAM 303 also stores various programs and data required for system operation. The CPU 301, ROM 302, and RAM 303 are interconnected via a bus 304. An Input / Output (I / O) interface 305 is also connected to the bus 304.

[0048] The following components are connected to I / O interface 305: input section 306 including a camera, infrared sensor, etc.; output section 307 including a liquid crystal display (LCD) and speakers, etc.; storage section 308 including a hard disk, etc.; and communication section 309 including a network interface card such as a LAN (Local Area Network) card and a modem, etc. Communication section 309 performs communication processing via a network such as the Internet. Drive 310 is also connected to I / O interface 305 as needed. Removable media 311, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., are installed on drive 310 as needed so that computer programs read from them can be installed into storage section 308 as needed.

[0049] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing computer programs for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 309, and / or installed from removable medium 311. When the computer program is executed by central processing unit (CPU) 301, it performs the various functions defined in the present invention.

[0050] It should be noted that the computer-readable medium shown in the embodiments of the present invention can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present invention, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, wherein a computer-readable computer program is carried. The transmitted data signal can take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof.

[0051] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. Each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0052] In another aspect, the present invention also provides a computer-readable storage medium, which may be included in the system described in the above embodiments; or it may exist independently and not assembled into the system. The storage medium carries one or more computer programs that, when executed by a processor of a system, cause the system to implement the methods provided in the above embodiments.

[0053] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit it. 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. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

[0054] As used in the above embodiments, depending on the context, the term "when..." can be interpreted as "if...", "after...", "in response to determining...", or "in response to detecting...". Similarly, depending on the context, the phrase "when determining..." or "if (the stated condition or event) is interpreted as "if determining...", "in response to determining...", "when (the stated condition or event) is detected", or "in response to detecting (the stated condition or event)".

[0055] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state drive), etc.

[0056] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

Claims

1. A building electromechanical engineering intelligent management platform based on digital twins, characterized in that, include: The unified digital model module is used to build a digital model covering the entire life cycle of electromechanical projects. The unified digital model includes all elements of data such as design parameters, material information, processing technology, installation specifications and operation and maintenance requirements. The full-domain data interconnection standard system module is connected to the unified digital model module and is used to receive the full-element data and standardize the data format and interaction standards of each link. The functional port module, connected to the global data interconnection standard system module, includes a design port, a manufacturing port, a construction port, and an operation and maintenance port, used to collect real-time data from each stage based on the data format and interaction standard; The data-driven decision-making module is connected to the functional port module and is used to receive the real-time data and realize the three-way linkage of drawings, models and engineering quantities to generate project early warning information and optimization schemes. The model engine and collaborative management module are connected to the unified digital model module and the data-driven decision-making module, respectively, to perform lightweight processing on the unified digital model and to achieve multi-party collaboration based on the early warning information and optimization scheme.

2. The platform according to claim 1, characterized in that, The unified digital model module also includes: The version management unit is used to record model modification traces and data update logs. The output data of the version management unit is connected to the global data interconnection standard system module.

3. The platform according to claim 1, characterized in that, In the aforementioned functional port module: The design port is connected to BIM tools via a data interface to enable automatic import of design data; The manufacturing port is connected to the production system through a data acquisition unit to enable parametric processing of components; The construction port collects on-site data through IoT devices to monitor construction progress. The operation and maintenance port collects operational data through sensing devices to enable equipment status early warning.

4. The platform according to claim 1, characterized in that, The data-driven decision-making module includes: The data analysis unit is used to process the real-time data collected by the functional port module; An early warning system, connected to the data analysis unit, is used to generate early warning information based on the analysis results; An optimization scheme generator, connected to the early warning system, is used to output optimization schemes based on early warning information.

5. The platform according to claim 1, characterized in that, The model engine and collaborative management module include: A data compression processing unit is used to perform lightweight processing on the unified digital model; A collaborative workflow unit, connected to the data compression and processing unit, is used to build a business flow docking channel; The access control unit, connected to the collaborative workflow unit, is used to control the data access permissions of each participant, including the design institute, the general contractor, the electromechanical installation subcontractor, the manufacturing plant, the operation and maintenance management unit, and the owner.

6. The platform according to claim 1, characterized in that, The manufacturing port also includes: The intelligent prefabricated component splitting unit is used to generate component splitting plans based on construction site conditions, transportation restrictions, and installation procedures. A capacity balance control unit, connected to the prefabricated component intelligent disassembly unit, is used to optimize production scheduling based on factory capacity and on-site installation plan; The quality traceability unit, connected to the capacity balance control unit, is used to record the quality data of the entire process of component production, transportation and installation using blockchain technology.

7. The platform according to claim 6, characterized in that, The construction port also includes: The intelligent process sequencing unit is used to generate the optimal construction sequence for multi-disciplinary cross-operations based on construction constraints. The resource scheduling unit, connected to the intelligent process sequencing unit, is used to optimize the configuration of personnel, equipment and materials at the construction site in real time. The construction coordination unit, connected to the resource scheduling unit, is used to realize intelligent early warning and conflict coordination for multi-disciplinary construction processes.

8. A building electromechanical engineering intelligent management system based on digital twins, characterized in that: The system includes: One or more processors and a memory; the memory is coupled to the one or more processors, the memory being used to store computer program code, the computer program code including computer instructions, the one or more processors invoking the computer instructions to cause the system to perform the functions of the platform as described in any one of claims 1-7.

9. A computer-readable storage medium comprising instructions, characterized in that, When the instructions are executed on the system, the system causes the system to perform the functions of the platform as described in any one of claims 1-7.

10. A computer program product, characterized in that, When the computer program product is run on the system, it causes the system to perform the functions of the platform as described in any one of claims 1-7.

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