Thermal-Visual Sensor Network for Zone-Specific Early Fire Detection
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Solution Overview
Problem
Existing fire detection systems fail to provide early warnings of thermal and mechanical anomalies leading to potential ignition, often alerting only when the event is already in progress or imminent, lacking comprehensive and continuous real-time monitoring capabilities.
Innovation Solution
An apparatus using a network of miniaturized thermal and visual sensors with artificial intelligence for automatic analysis, capable of detecting temperature anomalies and classifying events in real-time, integrating visible and thermal/NIR images to identify and locate potential ignition sources with precision, employing machine learning for predictive maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional fire detection systems are used, then alarm signals are provided when fire event is already triggered or in progress, but early warning capability is lost and urgent intervention is required
Solution Approach 1:
The system performs preliminary detection of thermal anomalies and mechanical symptoms before they develop into actual fire events. By continuously monitoring temperature variations and analyzing thermal patterns in advance, the system provides early warnings that enable preventive maintenance interventions before the fire event is triggered, thus resolving the contradiction between reliable detection and loss of early warning time
Solution Approach 2:
The monitoring system is divided into multiple independent thermal sensors and detection zones distributed throughout the plant. Each sensor independently monitors specific areas and detects local thermal anomalies, allowing the system to provide comprehensive early warning coverage while maintaining reliable detection across the entire facility, thus resolving the contradiction through distributed segmentation
2Reliability
If Asset Integrity Management systems are used, then preventive maintenance strategy is developed based on historical data, but real-time operational conditions are not known
Solution Approach 1:
The system implements continuous feedback loops where thermal sensors constantly monitor operational conditions and feed real-time data back to the analysis system. This feedback mechanism enables the system to update preventive maintenance strategies dynamically based on current operational states, thus resolving the contradiction between having reliable preventive maintenance based on history and accessing real-time operational information
Solution Approach 2:
The thermal monitoring system serves multiple functions simultaneously: it provides historical data for Asset Integrity Management, real-time operational monitoring, early fire detection, and predictive maintenance scheduling. This multi-functionality allows the system to resolve the contradiction by integrating both historical analysis and real-time data collection into a single universal platform
3Measurement precision
If Early Warning systems with thermocouples or thermistors are used, then real-time temperature detection is provided, but large-scale comprehensive monitoring is not achieved
Solution Approach 1:
The system segments the large monitoring area into multiple smaller zones, each covered by thermal sensors. By distributing numerous sensors across the entire plant area and organizing them into manageable zones, the system achieves both precise temperature measurement in each zone and comprehensive coverage of the entire facility, thus resolving the contradiction between measurement precision and monitoring coverage area
Solution Approach 2:
The system transitions from point-based temperature measurement to area-based thermal imaging and analysis. By using thermal cameras and infrared sensors that capture temperature distributions across two-dimensional areas rather than single points, the system simultaneously achieves precise temperature detection and broad coverage, resolving the contradiction through dimensional expansion
4Loss of information
If thermal cameras are used for fire detection, then visual thermal maps are provided, but automatic early warning and continuous systematic analysis are not achieved
Solution Approach 1:
The system implements self-service automation where thermal cameras continuously capture thermal images and the integrated software automatically analyzes the thermal patterns, detects anomalies, and generates early warnings without requiring operator intervention. The system serves itself by performing continuous systematic analysis and automatic decision-making, thus resolving the contradiction between comprehensive thermal information detection and extent of automation
Solution Approach 2:
The system establishes automatic feedback loops where thermal camera data is continuously fed into analysis algorithms that automatically detect trends and generate warnings. This automated feedback mechanism enables continuous systematic analysis and automatic early warning generation, resolving the contradiction by eliminating the need for manual operator analysis while maintaining comprehensive thermal monitoring
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables continuous, early detection and precise localization of thermal anomalies, allowing proactive maintenance and preventing potential fires by identifying trends months in advance, reducing risks and costs associated with plant shutdowns.
Implementation Method 1
dispositif de détection des prodromes d'incendie... réseau de capteurs miniaturisés à imagerie thermique
Implementation Method 2
capables de détecter et de filmer de manière continue et systématique des zones... superposition des champs de récupération de l'image dans le visible et de l'image thermique
Data Source
AI summary
Apparatus for the detection of symptoms of thermal and/or mechanical anomalies that can lead to the ignition of fire, comprising: - a plurality of point sensors (2), for remote temperature measurement, to be installed near the area (4) to be monitored, said sensors being suitable for superimposing the field of view of the visible image and the thermal and/or near infrared (NIR) image and combining the information obtained pixel by pixel, in order to identify and locate the possible sources of the beginnings of the fires; - an automatic analysis system (6) equipped with self-learning capability according to the real situation to which it is exposed and able to selectively acquire and manage the different thermal and visual flows generated by the sensors (2), said system being able to interact on the different areas to be monitored following any anomaly, characterized by the fact that the system (6) is equipped with suitable means: to separately examine different areas of interest (4), that is, separate portions of the image, corresponding to parts of plant with different functions, different critical issues, different distributions of thermal and mechanical stress and different times of activity/rest, applying different criteria and parameters of analysis to each area of interest; to calculate the statistics and temperature distributions for each area of interest and compare them with the statistics and distributions recorded in all normal operating regimes; to detect for each pixel of the image the possible exceeding of alert and alarm thresholds in temperature specific for that part of the system; to detect for each pixel of the image any temperature anomaly of even a few tenths of °C in relation to the trend and the typical temperature distribution of that part of the system; to automatically report events related to general situations of the most common interest, to carry out measurements relating to particular requirements, such as the dimensional calculation of areas on alert or in alarm or to report a particular type of evolution or thermal trend considered dangerous or interest in one or more parts of the plant.