Digital Twin Monitoring for Real-Time Plant Construction Events
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Solution Overview
Problem
Current infrastructure construction and management practices rely on manual processing and independent systems, lacking an integrated system to capture the entire construction process from design to operation, and fail to provide real-time monitoring and emergency response capabilities.
Innovation Solution
The implementation of an Infrastructure Construction Digital Integrated Twin (ICDIT) system that utilizes a network of sensors, including camera devices, to monitor and analyze data in real-time, determining events such as emergencies and generating notifications, and providing escape routes to operators through wearable devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual processing and independent systems are used for infrastructure construction and management, then device complexity is reduced, but productivity and real-time monitoring capability deteriorate
Solution Approach 1:
The patent merges multiple independent systems (sensors, cameras, drones, wearables, communication systems) into a unified construction management platform that processes data centrally, enabling real-time monitoring and decision-making while maintaining manageable system complexity through modular architecture
Solution Approach 2:
The construction management system is designed as a multi-functional platform that handles diverse tasks including safety monitoring, progress tracking, quality control, and emergency response through a single integrated system, improving productivity without requiring separate specialized systems for each function
2Reliability
If real-time monitoring with multiple sensors and camera devices is implemented, then situation awareness and safety are improved, but device complexity and data processing requirements worsen
Solution Approach 1:
The monitoring system is segmented into distributed sensor nodes and camera devices that independently collect data locally, then transmit processed information to the central platform, reducing the complexity burden on any single component while maintaining comprehensive monitoring coverage
Solution Approach 2:
The central construction management platform acts as an intermediary that receives, processes, and integrates data from multiple sensors and cameras, transforming complex raw data into actionable insights while managing the complexity of coordinating numerous monitoring devices
3Measurement precision
If comprehensive data collection from aerial, mobile, and floor scanning is performed, then measurement precision and situation awareness are improved, but loss of time for data processing and device complexity worsen
Solution Approach 1:
The system performs preliminary data processing and filtering at the sensor and camera levels before transmission, pre-processing images and sensor readings to extract only relevant information, thereby reducing the time required for central processing while maintaining measurement precision
Solution Approach 2:
The monitoring system operates continuously with parallel data collection from aerial drones, mobile devices, and floor sensors, enabling uninterrupted real-time tracking of construction progress without sequential processing delays
4Object-affected harmful factors
If emergency detection and notification systems are implemented, then operator safety is improved, but device complexity and energy consumption worsen
Solution Approach 1:
The system continuously monitors for emergency conditions and prepares notification protocols in advance, detecting potential hazards before they become critical threats to operators, thereby preventing harm while managing energy consumption through proactive rather than reactive monitoring
Solution Approach 2:
The wearable devices and sensor networks autonomously detect emergencies and trigger notifications without requiring constant human oversight, enabling safety monitoring to function independently while consuming energy only when needed for detection and communication
Data Source
AI summary
The present disclosure describes a computer-implemented method to manage an industrial plant facility, the method including: monitoring multiple streams of input data from a network of sensors at the industrial plant facility, wherein the network of sensors include one or more camera devices; determining, by a server computer, an event during construction or operation of the industrial plant facility based on analyzing the multiple streams of input data in real-time; and based on the determined event, generating a notification to alert at least one operator of the industrial plant facility.