Distributed Sensor Network Analysis for Corrosion-Based Natural Hazard Risk
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Solution Overview
Problem
Existing sensor networks for monitoring corrosion and natural hazards in constructions do not adequately address the risk of corrosion and other natural hazards, leading to insufficient prevention and management strategies.
Innovation Solution
A sensor-network-based analysis and prediction method that integrates outdoor corrosion measurement data, tropospheric data, and additional information to determine natural hazard risks, using an external analysis and prediction unit to provide comprehensive risk assessments and recommendations for maintenance, construction planning, and hazard prevention measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor networks are deployed to monitor corrosion and natural hazards, then monitoring capability is improved, but system complexity and cost increase
Solution Approach 1:
The system divides the monitoring task into multiple distributed sensor modules, each independently measuring specific parameters (corrosion, temperature, humidity, structural movement) and transmitting data to a central evaluation unit. This segmentation allows comprehensive coverage of multiple hazard types while keeping individual sensor units simple and manageable.
Solution Approach 2:
Multiple types of sensors (corrosion sensors, environmental sensors, structural sensors) are integrated into a unified sensor network that feeds into a single external evaluation and prediction unit. This merging consolidates data processing and analysis, reducing overall system complexity despite the diversity of monitoring parameters.
2Measurement precision
If comprehensive sensor data collection is implemented, then prediction accuracy is improved, but data processing requirements and system resources increase
Solution Approach 1:
The system performs preliminary data collection and preprocessing at the sensor module level before transmission. Each sensor module prepares and validates its measurements locally, reducing the processing burden on the central evaluation unit and enabling more sophisticated analysis of the pre-processed data.
Solution Approach 2:
The external evaluation unit continuously analyzes sensor data and provides feedback on system status, corrosion rates, and hazard predictions. This feedback mechanism enables adaptive monitoring where the system adjusts its analysis focus based on detected trends, improving prediction accuracy while optimizing resource usage.
Data Source
AI summary
A sensor-network-based analysis and/or prediction method for protection from natural hazards includes receiving and collecting electronic sensor data from distributedly arranged sensor modules of an outdoor sensor network in an external analysis and/or prediction unit. The sensor data includes outdoor corrosion measurement data, impact sensor data and/or rope force sensor data. The sensor data includes tropospheric measurement data. One or more tropospheric measurement dataset is, in particular geographically, allocated to each outdoor corrosion measurement dataset. The analysis and/or method also includes storing the received sensor data of the outdoor sensor network in a memory unit of the external analysis and/or prediction unit; analyzing the received sensor data for a determination of a natural hazard risk in respective application areas of the sensor modules by the external analysis and/or prediction unit; and providing the natural hazard risk determined by the external analysis and/or prediction unit to an authorized user group.