Digital Twin Utility Tunnel System with Reduced-Order Simulation

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Solution Overview

Problem

Current digital twin architectures for urban utility tunnels lack real-time simulation deduction, safety state diagnosis, and emergency decision-making assistance due to low utilization of monitoring data and timeliness issues in simulation models.

Innovation Solution

A digital twin utility tunnel system utilizing a reduced-order simulation model and a real-time calibration algorithm, which includes a big data aggregation unit for collecting real-time dynamic data and a real-time simulation deduction unit with a forward prediction module and an inversion calibration module.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If existing digital twin architecture focuses on 3D visualization and monitoring data access, then normal operation and maintenance management is improved, but real-time simulation deduction and emergency decision-making capability deteriorates

Engineering Contradiction:

Improvenormal operation and maintenance managementVSAvoidreal-time simulation deduction capability

Core Design Contradiction:

Ease of operationVSProductivity

Solution Approach 1:

The system divides the digital twin architecture into distinct functional modules: a 3D visualization module for normal operation management and a real-time simulation deduction module for emergency decision-making. This segmentation allows each module to optimize its specific function without compromising the other, resolving the contradiction between ease of operation for maintenance and real-time simulation capability.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system implements dynamic switching between different operational modes based on real-time conditions. During normal operation, the system operates in visualization and monitoring mode for ease of maintenance management. When anomalies are detected, the system dynamically transitions to real-time simulation deduction mode to provide emergency decision-making support, thus adapting to different operational requirements.

Inventive Principle:

Principle #15Dynamics

2Quantity of substance

If monitoring data is collected and stored, then data availability is improved, but data utilization and meaningful interpretation deteriorates

Engineering Contradiction:

Improvemonitoring data availabilityVSAvoiddata utilization efficiency

Core Design Contradiction:

Quantity of substanceVSLoss of information

Solution Approach 1:

The system implements a feedback mechanism where monitoring data is not only stored but also continuously analyzed and fed back into the simulation model. The real-time simulation deduction module processes monitoring data to identify anomalies and provides feedback recommendations, transforming raw data into actionable insights and improving data utilization efficiency.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system introduces an intermediary processing layer between data collection and decision-making. The real-time simulation deduction module acts as an intermediary that processes raw monitoring data, identifies patterns, and generates meaningful interpretations, thereby bridging the gap between data availability and effective utilization.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Measurement precision

If simulation models are used for prediction, then future state prediction is improved, but timeliness and real-time prediction capability deteriorates

Engineering Contradiction:

Improvefuture state prediction accuracyVSAvoidprediction timeliness

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system changes the parameters of the simulation model to achieve real-time performance. By using reduced-order models with simplified physical equations and adjusting model complexity based on operational conditions, the system maintains prediction accuracy while significantly improving calculation speed and timeliness for real-time decision-making.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12236169B2Digital twin utility tunnel system based on reduced-order simulation model and real-time calibration algorithm

Publication Date: 2025.02.25 CHINA UNIV OF MINING & TECH (BEIJING)

AI summary

The present application provides a digital twin utility tunnel system based on a reduced-order simulation model and a real-time calibration algorithm. The system includes a big data aggregation unit and a real-time simulation deduction unit. The big data aggregation unit is configured to collect static attribute data and real-time dynamic data. The real-time dynamic data includes fixed monitoring data and mobile monitoring data. The fixed monitoring data is collected by gas sensors fixedly installed in the utility tunnel, and the mobile monitoring data is collected by mobile sensors in the utility tunnel. The real-time simulation deduction unit includes a forward prediction module and an inversion calibration module. The forward prediction module is configured to perform dimension reduction simplification and rapid prediction, and the inversion calibration module is configured to perform real-time calibration on a predicted physical field, correct the predicted physical field, and perform inversion on hazard sources.