IoT Structural Health Monitoring With LoRaWAN and ML Prediction
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Solution Overview
Problem
Current structural health monitoring systems face challenges in predicting structural integrity and detecting anomalies due to limitations in data communication protocols, scalability, and unauthorized access, particularly in remote areas without mobile network or Wi-Fi connectivity, and lack integration with machine learning for predictive analytics.
Innovation Solution
A system utilizing LoRaWAN for wireless communication between sensors, node-processors, and gateways, coupled with cloud-based analytics and machine learning models, enables secure, real-time data transmission and prediction of structural integrity, incorporating secure data authentication and alarm systems for remote monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If optical fibre is used to connect data logger to sensors/actuators, then data transmission reliability is improved, but system complexity and installation difficulty increase significantly
Solution Approach 1:
The patent replaces the mechanical/optical fibre connection system with a wireless communication system using LoRaWAN technology. Sensors and actuators communicate with node-processors and gateways via wireless signals, eliminating the need for physical optical fibre installation while maintaining data transmission reliability in remote areas.
2Quantity of substance
If more sensors are connected to a single data logger, then monitoring coverage is improved, but the physical size and price of the data logger increase significantly
Solution Approach 1:
The patent segments the centralized data logging function into distributed node-processors, each capable of handling multiple sensors locally. These node-processors then communicate with gateways and the cloud platform, distributing the data processing load and avoiding the need for a single large-scale data logger.
Solution Approach 2:
The patent transitions from a single-dimensional centralized architecture to a multi-dimensional distributed architecture across cloud, gateway, and node levels. This dimensional expansion allows the system to scale horizontally by adding more nodes rather than increasing the size of a central device.
3Adaptability or versatility
If wireless communication is used in remote areas without mobile network or Wi-Fi, then deployment flexibility is improved, but data transmission capability deteriorates
Solution Approach 1:
The patent introduces LoRaWAN gateways as intermediary devices that receive data from sensors via wireless communication in remote areas and relay it to the cloud platform when connectivity is available. This intermediary layer maintains deployment flexibility while ensuring data transmission capability through store-and-forward mechanisms.
Data Source
AI summary
The present invention discloses a system and method for structural health monitoring to identify structural anomaly and to predict structural integrity of civil structures on real time basis by evaluating feasibility of wireless structural health monitoring (SHM) of civil structures encompassing internet-of-things (IOT) and machine learning models (8). The system includes a sensor (S) connected to node processor (1, 1a, 1b, 1c, . . . 1n), physical device gateway (2), cloud gateway (4), trigger function software client (5), graphic user interface or dashboard (9) and communication module (C). The system evaluates incoming real-time engineering data on the cloud gateway (4) and allows a trigger function to route the engineering data to cloud storage (6b) and cloud analytics (6a) and alert system (6c). The system gives a single conditional statement in real-time by correlating predictions of multiple structural integrity parameters of the civil and mechanical engineering structures.