CN-121996672-A - Data twin collaborative management system for urban updating intelligent construction management platform
Abstract
The invention discloses a data twin collaborative management system for an urban updating intelligent construction management platform, and relates to the technical field of intelligent construction and construction management. The system is accessed into multi-source data in urban updating projects, analyzes and converts the data from different service systems, generates a unified data object and constructs a data twin node on the basis. The system builds a construction stage data twin chain according to the construction stage sequence, and builds a data collaborative topology model according to the dependency relationship between the data. When a certain data node is updated, the system detects the conflict of the related nodes according to the collaborative topology model, and triggers the data synchronization operation when the data conflict is detected. According to the invention, collaborative management between the whole flow data of the city update project is realized through the data twin chain and the data collaborative topology model, so that the data consistency and the data collaborative efficiency are improved.
Inventors
- LI YONGWEN
Assignees
- 彩旺控股集团有限公司
Dates
- Publication Date
- 20260508
- Application Date
- 20260409
Claims (10)
- 1. The data twin collaborative management system of the urban updating intelligent construction management platform is characterized by comprising a data acquisition module, a data management module and a data management module, wherein the data acquisition module is used for acquiring multi-source data in urban updating projects; the data stage identification module is used for identifying the construction stage to which the data belongs; The data twinning node generating module is used for generating corresponding construction stage data twinning nodes according to the data; The data twinning chain construction module is used for constructing a construction stage data twinning chain according to the construction stage sequence and establishing a data inheritance relationship between the construction stage data twinning nodes; the data collaborative topology construction module is used for constructing a data collaborative topology model according to the data dependency relationship between the data twin nodes in the construction stage; the data cooperative control module is used for realizing data sharing and data updating according to the data cooperative topology model; the data conflict detection module is used for detecting data conflicts in the data updating process according to the data collaborative topology model; and the data tracing module is used for realizing project full-flow data tracing according to the construction stage data twin chain.
- 2. The system of claim 1, wherein the data collection module is configured to access a plurality of data sources via a system interface and to introduce data from different data sources to the platform.
- 3. The system for collaborative management of data twinning of an intelligent building management platform for urban updating according to claim 2, wherein the data collection module performs a unified data structure transformation on data from different data sources when the data is introduced, the data structure transformation comprising performing a data format parsing on the raw data to extract data fields; mapping the data fields of different data sources to a unified data field set according to a preset data field mapping rule; Carrying out structural reconstruction on the data according to the unified data field set to generate a unified data object; And storing the unified data object to a platform data warehouse to realize unified management of different data source data.
- 4. The system for collaborative management of data twinning of an urban update intelligent construction management platform according to claim 1, wherein the data twinning node generation module is configured to generate a unique data identifier for each piece of data when the data enters the system, and generate a corresponding data twinning node according to the data identifier.
- 5. The system of claim 4, wherein the data identifier comprises a data source identifier, a construction stage identifier, timestamp information, and a data version number.
- 6. The system for collaborative management of data twinning of an urban update intelligent construction management platform of claim 1, wherein the data twinning chain construction module is configured to connect a plurality of data twinning nodes in a construction phase sequence to form a construction phase data twinning chain.
- 7. The system for collaborative management of data twinning of an urban update intelligent construction management platform of claim 6, wherein the data twinning chain construction module is configured to establish a data inheritance relationship between data twinning nodes of adjacent construction stages, such that data twinning nodes of subsequent stages relay underlying data attributes in nodes of a previous stage.
- 8. The data twinning collaborative management system of the urban updating intelligent construction management platform according to claim 1, wherein the data collaborative topology construction module is used for constructing a data collaborative topology map, data twinning nodes are used as topology nodes, and data dependency relations among the nodes are used as topology edges.
- 9. The system for collaborative management of data twinning of an intelligent build management platform for urban updating according to claim 8, wherein the data conflict detection module is configured to detect a data version difference between an updated data twinning node and a dependent node thereof during data updating, and determine whether there is a data conflict according to the data version difference.
- 10. The system for collaborative management of data twinning of an intelligent build management platform for urban updating according to claim 9, wherein the data collaboration control module triggers data synchronization operations on data twinning nodes having dependencies based on the data collaboration topology model when a data conflict is detected.
Description
Data twin collaborative management system for urban updating intelligent construction management platform Technical Field The invention relates to the technical field of intelligent construction and construction management, in particular to a data twinning collaborative management system of an urban updating intelligent construction management platform. Background With the continuous advancement of urban process in China, urban updating has become an important strategic direction for urban high-quality development. The related policies of urban updating are sequentially exported from the national and local layers, and the large-scale implementation of the projects such as stock building transformation, old cell renovation, urban infrastructure promotion and the like is promoted. Compared with new projects, the urban updating projects have the characteristics of complex construction environment, more construction condition constraints, historical data loss and the like, and higher requirements are put forward on project data management. Further, with the continuous expansion of the scale of the urban updating project, the urban updating project gradually has the characteristics of long construction period, more participation subjects, complex data sources and the like. In the implementation process of an urban updating project, a plurality of participating subjects such as a planning and design unit, a construction unit, a monitoring unit, a device management unit and the like are often involved, and each subject generates a large amount of data at different stages of the project. For example, planning and design data may be generated during a planning phase, BIM model data may be generated during a design phase, construction task data and equipment operation data may be generated during a construction phase, and structural and environmental monitoring data may be generated during a monitoring phase. These data are typically stored in different business systems in a decentralized manner, and there is a large difference in data structure and data standards, which makes it difficult to achieve unified management and collaborative utilization between the data. In terms of data modeling, digital twin technology has gained widespread attention in engineering construction in recent years. Digital twinning realizes real-time data interaction and state synchronization between the physical world and the digital world by establishing a digital mapping model for the physical entity. However, the existing engineering digital twin application focuses on the state monitoring of a single device or a single component, and has not been effectively extended to the collaborative management scenario of the whole-flow multi-stage data of the urban update project. The existing digital twin system generally regards twin nodes as independent data mapping units, lacks systematic modeling of data inheritance relations among the twin nodes in different construction stages, and fails to structurally express cross-node data dependency relations through a topological structure, so that the application depth of the digital twin technology in urban updating project full-flow data management is limited. In the prior art, data management for engineering construction projects is generally centralized by adopting a data platform or a data integration system. Such systems typically aggregate data in different business systems to a unified database through a data interface, and enable data utilization through data querying or data sharing. However, such data platforms typically only implement centralized storage of data and simple data exchange, and do not establish inheritance relationships between different construction stage data and dependency relationships between different data. Therefore, when data at a certain stage is updated, other data objects associated with the data are difficult to identify by the system, and inconsistent data versions among different systems are easy to cause, so that the accuracy and reliability of engineering data are affected. In addition, in the implementation process of the city update project, complex association relationship exists between data in different stages. For example, construction task data for a construction phase typically depends on BIM model data for a design phase, and construction monitoring data in turn depends on structural information for the construction phase. When the data is adjusted in the design stage, if an effective data collaborative management mechanism is lacked, the related construction data and the monitoring data may still refer to old version data, so that the construction information is inconsistent with the design information, and even construction safety risks may be caused. In the prior art, the data update usually needs to manually inform a related system to perform data synchronization or update in a regular data synchronization mode, and the mode is low in efficiency