CN-121981383-A - New energy power infrastructure intelligent management system and method based on digital twin

CN121981383ACN 121981383 ACN121981383 ACN 121981383ACN-121981383-A

Abstract

The invention provides a new energy power infrastructure intelligent management system and method based on digital twin, which is suitable for intelligent management of new energy project construction stage, the system comprises a data acquisition and fusion module, a digital twin modeling module, an artificial intelligent analysis and decision module, an engineering flow control module and a visual collaboration module, the method comprises the steps of acquiring multi-source data of a construction site, constructing a twin model and synchronizing state, executing artificial intelligent analysis and decision, the method has the advantages that the task flows are driven to link, visual display and interaction are carried out through the multiple terminals, construction state sensing, task closed-loop execution and management information sharing are achieved, the whole-process digital management mode of dynamic binding of field data acquisition and a three-dimensional model, intelligent analysis and driving construction control and visual collaborative supporting multi-role interaction is achieved, and construction organization efficiency and risk response capability of a new energy project in a construction period are effectively improved.

Inventors

TAN YONGJIAN
LIU JIE
SONG ZICHEN
ZHANG PENG
LI JIADONG
YI JUNFENG
ZHAO XING
SUN XIAOYANG

Assignees

西安热工研究院有限公司
华能国际工程技术有限公司

Dates

Publication Date: 20260505
Application Date: 20260115

Claims (10)

1. The utility model provides a new forms of energy electric power capital construction intelligent management system based on digit twin which characterized in that includes: The data acquisition and fusion module is used for acquiring and fusing multi-source data of a construction site, wherein the multi-source data comprises structure monitoring data, equipment running state data, environment monitoring data, personnel positioning data and image identification data; The digital twin modeling module is used for constructing a three-dimensional digital twin model of a construction site based on the building information model and the geographic information system data, and synchronously mapping the acquired multi-source data to the corresponding construction member states in the three-dimensional digital twin model; the artificial intelligent analysis and decision module is used for carrying out construction progress prediction, construction risk assessment and resource scheduling optimization analysis on the state data in the three-dimensional digital twin model to generate a control instruction or a scheduling suggestion; The engineering flow control module is used for driving the automatic dispatch of the task flow and executing closed-loop control according to the control instruction or the scheduling suggestion; And the visual coordination module is used for synchronously displaying and interacting the three-dimensional digital twin model, the control instruction or the scheduling suggestion and the task execution state information with a plurality of terminals.
2. The intelligent management system of new energy power infrastructure based on digital twinning according to claim 1, wherein the data acquisition and fusion module comprises an edge computing device and a fusion gateway, the edge computing device is used for identifying image behaviors including executing actions on the wearing condition of a safety helmet of a constructor, intrusion of a dangerous area, illegal climbing and high-risk actions, operation states of mechanical equipment and key construction tasks, and the fusion gateway is used for uniformly formatting sensing data and adding component identifiers and time stamps.
3. The intelligent management system for new energy power capital construction based on digital twinning according to claim 1, wherein the digital twinning modeling module sets a unique ID for a construction member and supports state color coding display and dynamic animation prompt of the construction member, including transparency, flicker and floating.
4. The intelligent management system for new energy power infrastructure based on digital twinning according to claim 1, wherein the artificial intelligent analysis and decision module adopts progress prediction based on an LSTM model, risk assessment based on a XGBoost model and resource scheduling optimization strategies of a genetic algorithm, and generates decision confidence scores corresponding to the progress prediction result, the risk assessment result and the optimization strategies respectively.
5. The intelligent management system for new energy power infrastructure based on digital twinning according to claim 1, wherein the visual collaboration module supports click-to-view task information, three-dimensional roaming operation, progress layer and risk layer switching for construction members, and configures visible content and operation range based on role rights.
6. The intelligent management method for new energy power infrastructure based on digital twin is characterized by comprising the following steps: Collecting construction site data, including structural stress of a component, equipment running state, personnel positioning data, environment monitoring data and image identification data; Fusing and standardizing the multi-source heterogeneous data to generate structured data comprising construction member identifiers, task identifiers, time stamps and spatial position information; constructing a three-dimensional digital twin model, and mapping the structured data to the state of a construction member of the three-dimensional digital twin model to realize synchronous update of the state; executing artificial intelligent analysis, and carrying out progress prediction, risk identification and resource scheduling optimization by combining equipment running state, personnel positioning data, environment monitoring data and image identification data to output scheduling suggestions or control instructions; Triggering engineering flow control, starting a task adjustment flow according to a scheduling suggestion or a control instruction, dispatching a task and recording execution feedback; visual display is carried out, and a twin model, a task state and suggestions are displayed and interacted in a plurality of terminals; And archiving the system state and the execution process, recording analysis basis, task track and management behavior, and using the analysis basis, the task track and the management behavior for subsequent tracing and evaluation.
7. The intelligent management method for new energy power infrastructure based on digital twinning according to claim 6, wherein the data acquisition process is completed by deploying a strain sensor, an equipment interface module, a UWB positioning tag and an edge image recognition terminal, and uploading and unifying format data through an edge gateway.
8. The intelligent management method for new energy power infrastructure based on digital twin according to claim 6, wherein in the artificial intelligent analysis process, an LSTM neural network model is used for progress prediction, a XGBoost classification model is used for risk assessment, and a genetic algorithm or a reinforcement learning algorithm is used for resource scheduling optimization.
9. The intelligent management method for new energy power infrastructure based on digital twinning according to claim 6, wherein the engineering flow control comprises calling a preset flow template, automatically generating tasks, resource scheduling suggestions and responsible person allocation, and performing parallel or serial task distribution.
10. The intelligent management method for new energy power infrastructure based on digital twinning according to claim 6, wherein the visual display comprises three-dimensional scene component state display, progress Gantt chart, risk thermodynamic diagram and task execution track, and is synchronous with a large screen terminal at a mobile terminal.

Description

New energy power infrastructure intelligent management system and method based on digital twin Technical Field The invention relates to the technical field of new energy power engineering construction management, in particular to a new energy power infrastructure intelligent management system and method based on digital twinning. Background The new energy power engineering construction generally relates to a plurality of stages such as planning, construction, debugging and the like of wind power plants, photovoltaic power stations, energy storage systems and matched power transmission and transformation facilities. In the foundation construction period, a large number of engineering operation links and sub-packaging units are required to be coordinated, and the method comprises the steps of equipment hoisting, line laying, civil construction, component installation and other task types, and has the characteristics of long management period, multiple working procedures, frequent dynamic change and the like. In order to guarantee construction quality and progress, project parties generally rely on an informatization platform to perform progress monitoring, resource scheduling and risk management. The management mode of the existing new energy construction project mainly depends on the traditional planning tool, construction daily report and experience judgment to carry out organization coordination. Part of engineering projects have introduced BIM modeling and Internet of things sensing technologies, but have the defects that firstly, on-site data acquisition granularity is coarse, the format is not uniform, real-time intelligent analysis requirements cannot be met, secondly, BIM models are usually in static display and lack dynamic linkage capability with construction states, thirdly, manual scheduling depends on experience of management staff, response is slow, accuracy is low, fourthly, construction abnormal events depend on manual reporting and off-line processing, and systematic early warning and disposal mechanisms are lacked. The patent with the publication number of CN118839617A discloses a periodic digital twin auxiliary management platform for photovoltaic construction, which comprises a data acquisition module, a data processing and storage module, a digital twin modeling module, an analog and prediction module, a real-time monitoring and fault diagnosis module, a decision support and optimization module and a user interface module, and realizes the omnibearing management from data acquisition, modeling, prediction, monitoring and diagnosis to decision optimization of a photovoltaic power station, thereby remarkably improving the accuracy, intelligence and reliability of the system, but does not disclose how to perform progress prediction and risk assessment. Aiming at the current situation, in the construction stage of new energy engineering construction, a comprehensive digital management means capable of realizing on-site state sensing, model dynamic mapping, intelligent analysis decision and task closed-loop control is needed to improve the intelligent, collaborative and response efficiency of the construction process. Disclosure of Invention In order to solve the problems in the prior art, the invention provides a digital twin-based intelligent management system and method for new energy power infrastructure, which realize a whole-process digital management mode of dynamic binding of field data acquisition and a three-dimensional model, intelligent analysis driving construction control and visual collaborative supporting multi-role interaction, and effectively improve construction organization efficiency and risk response capability of new energy project construction period. On the one hand, the invention provides a new energy power infrastructure intelligent management system based on digital twin, which comprises a data acquisition and fusion module, a digital twin modeling module, an artificial intelligent analysis and decision module, an engineering flow control module and a visual coordination module The data acquisition and fusion module is used for acquiring and fusing multi-source data of a construction site, wherein the multi-source data comprises structure monitoring data, equipment running state data, environment monitoring data, personnel positioning data and image identification data; the digital twin modeling module is used for constructing a three-dimensional digital twin model of a construction site based on the building information model and the geographic information system data, and synchronously mapping the acquired multi-source data to the corresponding construction member states in the three-dimensional digital twin model; the artificial intelligent analysis and decision module is used for carrying out construction progress prediction, construction risk assessment and resource scheduling optimization analysis on the state data in the three-dimensional digital twin model t