Subterranean Fire Detection With Soil Sensors and Smart Pumps
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Solution Overview
Problem
Existing forest fire detection methods, such as human-based observation, satellite detection, and Wireless Sensor Networks (WSN), suffer from low reliability, delays, high costs, and false alarms due to environmental conditions, and are prone to destruction in fires, failing to provide timely and effective fire response.
Innovation Solution
An autonomous system using subterranean data gatherers with soil temperature and moisture sensors, interconnected rainwater harvesting tanks, and smart water pumps to detect fires and autonomously activate sprinklers for mitigation, independent of firefighting resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ambient sensors (smoke, gas, thermal, flame detectors) are used for fire detection, then fire detection capability is provided, but false alarms occur due to fog, clouds, sunlight, and non-smoke objects
Solution Approach 1:
The patent extracts the detection function from the ambient atmosphere and relocates it to the subterranean environment. By placing sensors underground to monitor soil temperature and moisture, the system eliminates false alarms caused by atmospheric conditions (fog, clouds, sunlight) while maintaining fire detection capability through thermal changes in the ground.
Solution Approach 2:
The patent introduces soil as an intermediary medium between the fire source and the sensors. Instead of directly detecting smoke or flame in the air, the system detects thermal changes transmitted through the soil, which acts as a filter that blocks atmospheric interference while conveying fire-induced thermal signals.
2Reliability
If remotely installed detection systems are used, then fire detection is provided, but the systems get destroyed or damaged in forest fires
Solution Approach 1:
The patent transitions the system from the aerial/detector dimension to the subterranean dimension. By burying sensors and infrastructure underground, the system exploits the protective dimension of the earth to shield components from fire damage while maintaining detection and response capabilities through soil-based sensing and water delivery.
3Reliability
If human-based observation methods are used, then fire detection is provided, but detection delays occur
Solution Approach 1:
The patent implements self-service detection by deploying autonomous subterranean sensors that continuously monitor soil conditions and automatically detect fire-induced thermal changes. This eliminates reliance on human observation and response, enabling continuous automated monitoring and immediate detection without human reaction delays.
4Reliability
If satellite detection is used, then large fires are detected, but the cost is high and detection occurs only after fires become large
Solution Approach 1:
The patent applies local quality by deploying distributed subterranean sensors at specific locations around the community rather than using broad satellite coverage. This localized approach enables earlier detection of fires at the ground level before they grow large enough to be detected by satellites, while being more cost-effective for community-scale protection.
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
Provides reliable, timely, and effective fire detection and mitigation, reducing false alarms and resource strain by using underground sensors that are less affected by environmental conditions and survive fires, allowing for community protection and evacuation.
Implementation Method 1
The subterranean data gatherer utilizes a plurality of soil temperature and soil moisture sensors installed at a plurality of different depths in a soil
Implementation Method 2
The subterranean data gatherer utilizes a plurality of soil temperature and soil moisture sensors installed at a plurality of different depths in a soil
Implementation Method 3
The sprinkler uses the series of interconnected rainwater harvesting tanks to mitigate the fire
Data Source
AI summary
Various embodiments for an autonomous forest fire detection, alerting and mitigation device includes a subterranean data gatherer having a plurality of soil temperature and soil moisture sensors installed at a plurality of different depths in a soil. A data assimilator that has a configured threshold change depending on the plurality of different depths in the soil of the plurality of soil temperature and soil moisture sensors, the soil properties, the duration of the fire, and a time delay duration. The data assimilator receives a data transmission packet from the subterranean data gatherer and detects a fire and generates a fire alert when the plurality of soil temperature and soil moisture sensors all breach the configured threshold change. A smart water pump is also started to slow the fire or completely stop it. The subterranean data gatherer is installed at the plurality of different depths in the soil.