CN-122019653-A - BIM-based hydroelectric engineering digital asset transfer method and system
Abstract
The application discloses a BIM-based hydroelectric engineering digital asset transfer method and system, which relate to the field of hydroelectric engineering digital asset transfer, and the application constructs a holographic asset which is related to semantics through knowledge graph depth fusion BIM, GIS, ioT and multi-source heterogeneous data such as documents, thoroughly breaks information islands, drives design, construction and automatic association and conversion of operation and maintenance data based on a mapping rule base to generate a standardized full life cycle asset mapping matrix, innovately introduces a quantization quality diagnosis and multi-objective optimization algorithm, dynamically generates an optimal repair strategy for balancing quality, cost and time according to objective evaluation results and operation and maintenance service requirements, and finally carries out accurate data repair and knowledge graph update through a credibility evaluation mechanism to form a complete quality improvement closed loop, and systematically guarantees the integrity, consistency and service availability of transfer data.
Inventors
- LIU WENHUI
- XU JUNYANG
- XU JIANJUN
- WU YUECHAO
- SHEN JIANCHU
- YANG RONG
- LIU MINRUI
- WANG CE
- MA JINPENG
Assignees
- 中国电建集团华东勘测设计研究院有限公司
Dates
- Publication Date
- 20260512
- Application Date
- 20260205
Claims (8)
- 1. A BIM-based digital asset delivery system for hydropower engineering, comprising: the multi-source data fusion module is used for carrying out heterogeneous data aggregation on the hydropower engineering BIM model, GIS geographic information, the data of the IoT sensor and the engineering document to obtain holographic data assets of the hydropower engineering; The asset mapping module is used for carrying out full life cycle mapping of the design-construction-operation-maintenance stage on the holographic data asset based on a hydropower engineering asset classification system to obtain an asset mapping matrix of the hydropower engineering; the quality diagnosis module is used for carrying out multidimensional evaluation on the data integrity, consistency and accuracy in the asset mapping matrix to obtain a data quality evaluation report of the hydropower engineering; The strategy optimization module is used for dynamically optimizing the handover strategy of the hydropower project based on the data quality evaluation report and the operation and maintenance demand characteristics to obtain the optimal handover strategy of the hydropower project; and the directional repair module is used for accurately repairing the defect data in the holographic data asset based on the optimal handover strategy to obtain the enhanced data asset of the hydropower engineering.
- 2. The system for transferring digital assets of hydroelectric engineering based on BIM according to claim 1, wherein the multi-source data fusion module is specifically implemented as follows: Extracting semantic features of a hydropower engineering BIM model to obtain structural geometric data of the hydropower engineering; carrying out space topological relation analysis on the GIS geographic information to obtain geographic space data of the hydropower project; Performing time sequence feature extraction and outlier filtering on the IoT sensor data to obtain equipment operation data of the hydropower project; Carrying out key information identification and association relation construction on the engineering document to obtain unstructured document data of the hydroelectric engineering; and carrying out semantic association on the structured geometric data, the geospatial data, the equipment operation data and the unstructured document data based on a knowledge graph technology to obtain the holographic data asset of the hydroelectric engineering.
- 3. The system for transferring digital assets of hydroelectric engineering based on BIM according to claim 1, wherein the asset mapping module is specifically implemented as follows: constructing a hydropower engineering asset classification system, wherein the asset classification system comprises four categories of hydraulic buildings, electromechanical equipment, gold knot equipment and auxiliary facilities; establishing a mapping rule base among design parameters, construction records and operation and maintenance requirements aiming at each of the four categories; Performing construction stage expansion on design stage data in the holographic data asset based on the mapping rule base to obtain construction enhancement data; performing operation and maintenance requirement adaptation on the construction enhancement data based on the mapping rule base to obtain operation and maintenance ready data; and carrying out association integration on the operation and maintenance ready data and the mapping rule base to form an asset mapping matrix of the hydropower engineering.
- 4. The system for handover of digital assets in a BIM based hydropower project according to claim 1, wherein said quality diagnostic module is implemented as follows: performing missing detection on the key asset information in the asset mapping matrix to obtain an integrity index of the key asset information; Performing conflict analysis on cross-system data in the asset mapping matrix to obtain consistency indexes of the cross-system data; Performing accuracy verification on the space geometric data in the asset mapping matrix to obtain an accuracy index of the space geometric data; Based on a hydroelectric engineering handover standard, weighting and calculating the integrity index, the consistency index and the accuracy index to obtain a comprehensive quality score of the hydroelectric engineering; And generating a data quality evaluation report of the hydropower engineering based on a comparison result of the comprehensive quality score and a preset threshold.
- 5. The system for transferring digital assets of hydroelectric engineering based on BIM according to claim 1, wherein the policy optimization module is specifically implemented as follows: Analyzing the problem distribution in the data quality evaluation report to obtain a data quality short board set; acquiring service demand characteristics of a hydropower engineering operation and maintenance department, wherein the service demand characteristics comprise equipment monitoring demands, maintenance demands and safety management demands; And constructing a handover strategy optimization objective function based on the data quality short board set and the service demand characteristics, wherein F (S) =λ1.Q (S) +λ2.C (S) +λ3.T (S), F (S) is the comprehensive score of the handover strategy S, 1, 2 and 3 are weight coefficients, Q (S) is a data quality item, C (S) is a cost item, T (S) is a time item, and screening the handover strategy corresponding to the maximum comprehensive score to be recorded as the optimal handover strategy.
- 6. The system for transferring digital assets of hydroelectric engineering based on BIM according to claim 1, wherein the specific implementation mode of the directional restoration module is as follows: Analyzing the repair instruction in the optimal handover strategy to obtain a data item list to be repaired; determining a data source channel of each item in the data item list to be repaired; Based on the data source channel, incremental acquisition is carried out on defect data in the holographic data asset, so that original repair data are obtained; Performing reliability evaluation on the original repair data, and screening out the trusted repair data with the reliability higher than a preset threshold value; and carrying out fusion updating on the trusted repair data and the holographic data asset to obtain the enhanced data asset of the hydroelectric engineering.
- 7. The system for transferring digital assets of hydroelectric engineering based on BIM according to claim 6, wherein the specific implementation mode of said directional restoration module is as follows: Constructing a multi-source data confidence evaluation model, wherein the multi-source data confidence evaluation model comprises three dimensions of source authority, time freshness and consistency verification; authority rating is carried out on the source of the original repair data, and source authority scores are obtained; calculating the difference value between the acquisition time and the current time of the original repair data to obtain a time freshness score; performing consistency verification on the original repair data and peripheral associated data to obtain a consistency verification score; Calculating the comprehensive credibility of the original repair data based on the source authority score, the time freshness score and the consistency verification score; Cdata=w1·sa+w2·sf+w3.sc, where Cdata is the integrated reliability, WI, W2, W3 are the weight coefficients of the corresponding source authority score, time freshness score, and time freshness score, sa is the source authority score, sf is the time freshness score, sc is the consistency verification score, and the original repair data with the integrated reliability Cdata higher than the preset threshold is selected and recorded as the trusted repair data.
- 8. A BIM-based digital asset transfer method for hydropower engineering, which is applied to the digital asset transfer system for hydropower engineering according to any one of claims 1 to 7, comprising: Heterogeneous data aggregation is carried out on a hydropower engineering BIM model, GIS geographic information, ioT sensor data and engineering documents, and holographic data assets of the hydropower engineering are obtained; Based on a hydropower engineering asset classification system, carrying out full life cycle mapping in a design-construction-operation-maintenance stage on the holographic data asset to obtain an asset mapping matrix of the hydropower engineering; performing multidimensional evaluation on the data integrity, consistency and accuracy in the asset mapping matrix to obtain a data quality evaluation report of the hydropower engineering; Dynamically optimizing the handover strategy of the hydropower project based on the data quality evaluation report and the operation and maintenance demand characteristics to obtain an optimal handover strategy of the hydropower project; and based on the optimal handover strategy, accurately repairing the defect data in the holographic data asset to obtain the enhanced data asset of the hydropower engineering.
Description
BIM-based hydroelectric engineering digital asset transfer method and system Technical Field The application relates to the field of digital asset transfer of hydropower engineering, in particular to a digital asset transfer method and system of hydropower engineering based on BIM. Background The digital technology is vigorously developed, the BIM technology builds a three-dimensional model frame for engineering full life cycle management, the Internet of things and big data are fused to realize real-time monitoring and intelligent data analysis of engineering equipment, and cloud computing and platform management trends promote the construction of a unified data management platform. Under the background, the country and industry are in order to promote the management level of the hydroelectric engineering, bring out a series of policy standards, clearly require to realize the intelligent three-dimensional design and digital transfer, under this situation, research and development of the digital asset transfer method and system of the hydroelectric engineering becomes the necessary choice for meeting the development requirements of the industry and breaking through the traditional limitation; The existing technology has the problems of insufficient importance of the participating institutions, original data loss, irregular archiving, serious data island and the like, so that the handover efficiency is low, and the data availability in the operation and maintenance stage is poor; The prior art is continuous to expand the engineering scale and increasingly complex in structure, the traditional asset transfer mode faces a plurality of dilemmas, a large amount of data such as design, construction, equipment and the like are dispersed in different carriers and departments, an information island is formed, the data integrity and the usability are greatly reduced, and the centralized transfer mode consumes a large amount of manpower. Disclosure of Invention The invention aims to provide a BIM-based digital asset transfer method and system for hydropower engineering, which are used for solving the problems in the background art. In order to achieve the purpose, the invention provides the following technical scheme that the hydropower engineering digital asset transfer system based on BIM comprises: Heterogeneous data aggregation is carried out on a hydropower engineering BIM model, GIS geographic information, ioT sensor data and engineering documents, and holographic data assets of the hydropower engineering are obtained; Based on a hydropower engineering asset classification system, carrying out full life cycle mapping in a design-construction-operation-maintenance stage on the holographic data asset to obtain an asset mapping matrix of the hydropower engineering; performing multidimensional evaluation on the data integrity, consistency and accuracy in the asset mapping matrix to obtain a data quality evaluation report of the hydropower engineering; Dynamically optimizing the handover strategy of the hydropower project based on the data quality evaluation report and the operation and maintenance demand characteristics to obtain an optimal handover strategy of the hydropower project; and based on the optimal handover strategy, accurately repairing the defect data in the holographic data asset to obtain the enhanced data asset of the hydropower engineering. In the preferred scheme of the scheme, the specific implementation mode of the multi-source data fusion module is as follows: Extracting semantic features of a hydropower engineering BIM model to obtain structural geometric data of the hydropower engineering; carrying out space topological relation analysis on the GIS geographic information to obtain geographic space data of the hydropower project; Performing time sequence feature extraction and outlier filtering on the IoT sensor data to obtain equipment operation data of the hydropower project; Carrying out key information identification and association relation construction on the engineering document to obtain unstructured document data of the hydroelectric engineering; and carrying out semantic association on the structured geometric data, the geospatial data, the equipment operation data and the unstructured document data based on a knowledge graph technology to obtain the holographic data asset of the hydroelectric engineering. In a preferred scheme of the scheme, the asset mapping module is specifically implemented as follows: constructing a hydropower engineering asset classification system, wherein the asset classification system comprises four categories of hydraulic buildings, electromechanical equipment, gold knot equipment and auxiliary facilities; establishing a mapping rule base among design parameters, construction records and operation and maintenance requirements aiming at each of the four categories; Performing construction stage expansion on design stage data in the holographic data asset bas