Source: MICRO-PRECISION TECHNOLOGIES, INC. submitted to
GEOFIRE REAL-TIME WILDFIRE ALERT SYSTEM
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
COMPLETE
Funding Source
Reporting Frequency
Annual
Accession No.
1029945
Grant No.
2023-33530-39205
Cumulative Award Amt.
$175,000.00
Proposal No.
2023-00736
Multistate No.
(N/A)
Project Start Date
Jul 1, 2023
Project End Date
Jun 30, 2024
Grant Year
2023
Program Code
[8.1]- Forests & Related Resources
Project Director
Pyke, A.
Recipient Organization
MICRO-PRECISION TECHNOLOGIES, INC.
10 MANOR PKWY STE C
SALEM,NH 03079
Performing Department
(N/A)
Non Technical Summary
By almost any available metric, wildfires are becoming an increasing threat in the United States every year--number of fires, number of acres burned, size of fires, value of property destroyed, and number of lives lost. One factor that exacerbates the impact of wildfires is many of them are occurring at the wildland-urban interface (WUI), the zone of transition where human development encroaches on unoccupied land. As human development continues to sprawl, an increasing number of structures and lives are at risk. Early detection of wildfires and accurate determination of where fires are and where they go is essential for effective firefighting and public safety. As other factors like climate change, drought, and extreme weather appear to become more pronounced, the frequency and severity of wildfires will continue to get worse.The GeoFire WAS uses heat to track and predict wildfires in real-time without false alarms. Rugged ground-based sensors are deployed at high density, enabling wildfires to be detected and reported quickly within the coverage area. The fire location is known with hyper precision, down to the resolution of the sensor spacing, which is critical to recognizing adjacent fire cells as two separate cells and not one. The inherent resiliency of the self-healing sensor network ensures effective coverage is maintained even with the failure of an individual sensor. No other ground- or satellite-based wildfire detection system has this combination of spatial resolution, response time, accuracy, and fault tolerance.When deployed in target areas such as residential neighborhoods at the wildland urban interface, industrial and commercial campuses, or high-voltage power lines, the GeoFire WASdelivers community and asset protection at an unprecedented scale, which allows government and commercial stakeholders to make timely and effective decisions about wildfire mitigation efforts to prevent property loss and loss of life.
Animal Health Component
50%
Research Effort Categories
Basic
(N/A)
Applied
50%
Developmental
50%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
12272102020100%
Goals / Objectives
The program objective is to build, test, and deploy the GeoFire Real-Time Wildfire Alert System (WAS) to definitively answer where a wildfire is right now and where it is heading next. This is accomplished by using a high-density sensor network to track the location and growth of individual wildfire cells in real time. The GeoFire WAS is designed for exceptionally reliable operation: accurate fire detection without false alarms, autonomous operation without human-in-the-loop interaction, sufficient resiliency to tolerate the failure of individual sensors without compromising system coverage, and rugged hardware construction for 10+ year lifetime operation in all weather conditions. With its combination of spatial resolution, response time, accuracy, and fault tolerance, the GeoFire WAS is intended to augment existing ground- and satellite-based wildfire detection systems.
Project Methods
The project goals will be accomplished by designing and building sensors with wireless mesh networking and satellite transmission, demonstrating wireless mesh networking over distances on the order of kilometers, demonstrate communication between the network and cloud using a satellite gateway, generating alert transmissions when exposed to fire, completing field testing of the system during an outdoor burn, and deploying the system covering community-sized areas over an extended period of time. The projectwill determine the efficacy of the GeoFire WAS to detect wildfires. If successful, the system will be further refined to improve cost, size, and power consumption as the project advances.

Progress 07/01/23 to 12/04/24

Outputs
Target Audience:Three major customer groups have been identified for the early adoption of the GeoFire WAS. The first is utility companies, which face significant liability to make sure their assets do not cause, and are protected from, wildfires. In the last two years, utility companies spent over $13 billion in wildfire prevention efforts. The second is individual homeowners and homeowners' associations located at the wildland-urban interface. The GeoFire WAS gives homeowners and stakeholders the ability to precisely track and predict wildfire cells at the neighborhood level in real-time. The third is the scientific community. The GeoFire WAS has the capability of deploying a large number of low-cost, "set it and forget it" sensors directly into a prescribed burn area to give real-time data streaming as the fire spreads. Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided? Nothing Reported How have the results been disseminated to communities of interest? Nothing Reported What do you plan to do during the next reporting period to accomplish the goals? Nothing Reported

Impacts
What was accomplished under these goals? Phase I of the program had five technical objectives, all of which were successfully met: Design the sensor and gateway with wireless mesh networking and satellite transmission: The sensor was designed with a custom PCB with wireless mesh networking capability and a custom 3D printed housing with low thermal resistance between the ambient and temperature sensor. The gateway was designed with cellular transmission to better capture the industry trend of moving away from purely satellite communication to hybrid satellite/cellular or cellular only. Assemble 50 sensors and 5 gateways: The custom PCBs and housings were fabricated, and a total of 50 sensors and 5 gateways were assembled, including the PCBs, housings, batteries, antennas, insulation sleeves, and mounting stakes. Demonstrate (a) wireless mesh networking between the sensor and gateway over a distance of at least one kilometer and (b) satellite transmission between the gateway and cloud: The prototype system, consisting of 50 sensors and 5 gateways, was set up in a forested environment in Londonderry, New Hampshire. The system covered a range of 910 m × 510 m. Temperature data from the 50 sensors was collected by the gateways and transmitted to a remote computer through the cloud. Demonstrate alert transmission when exposed to fire: Individual sensors were directly exposed to fire, and the temperature profiles were analyzed to determine a threshold value that accurately discriminated the presence of fire. A rate-of-rise threshold was also determined to detect low-intensity fires. The threshold values were programmed into the sensor to trigger alerts when either was exceeded. Complete field testing of the system during an outdoor burn: The prototype system was set up at a prescribed burn covering 14 acres in Chattanooga, Tennessee. Despite some sensors being in direct contact with the flames, none failed throughout the course of the burn. The temperature data from all sensors was aggregated, and a complete spatiotemporal profile of the burn was created, showing precisely where and when the fire spread.

Publications


    Progress 07/01/23 to 06/30/24

    Outputs
    Target Audience:Three major customer groups have been identified for the early adoption of the GeoFire WAS. The first is utility companies, which face significant liability to make sure their assets do not cause, and are protected from, wildfires. In the last two years, utility companies spent over $13 billion in wildfire prevention efforts. The second is individual homeowners and homeowners' associations located at the wildland-urban interface. The GeoFire WAS gives homeowners and stakeholders the ability to precisely track and predict wildfire cells at the neighborhood level in real-time. The third is the scientific community. The GeoFire WAS has the capability of deploying a large number of low-cost, "set it and forget it" sensors directly into a prescribed burn area to give real-time data streaming as the fire spreads. Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided? Nothing Reported How have the results been disseminated to communities of interest? Nothing Reported What do you plan to do during the next reporting period to accomplish the goals? Nothing Reported

    Impacts
    What was accomplished under these goals? Phase I of the program had five technical objectives, all of which were successfully met: Design the sensor and gateway with wireless mesh networking and satellite transmission: The sensor was designed with a custom PCB with wireless mesh networking capability and a custom 3D printed housing with low thermal resistance between the ambient and temperature sensor. The gateway was designed with cellular transmission to better capture the industry trend of moving away from purely satellite communication to hybrid satellite/cellular or cellular only. Assemble 50 sensors and 5 gateways: The custom PCBs and housings were fabricated, and a total of 50 sensors and 5 gateways were assembled, including the PCBs, housings, batteries, antennas, insulation sleeves, and mounting stakes. Demonstrate (a) wireless mesh networking between the sensor and gateway over a distance of at least one kilometer and (b) satellite transmission between the gateway and cloud: The prototype system, consisting of 50 sensors and 5 gateways, was set up in a forested environment in Londonderry, New Hampshire. The system covered a range of 910 m × 510 m. Temperature data from the 50 sensors was collected by the gateways and transmitted to a remote computer through the cloud. Demonstrate alert transmission when exposed to fire: Individual sensors were directly exposed to fire, and the temperature profiles were analyzed to determine a threshold value that accurately discriminated the presence of fire. A rate-of-rise threshold was also determined to detect low-intensity fires. The threshold values were programmed into the sensor to trigger alerts when either was exceeded. Complete field testing of the system during an outdoor burn: The prototype system was set up at a prescribed burn covering 14 acres in Chattanooga, Tennessee. Despite some sensors being in direct contact with the flames, none failed throughout the course of the burn. The temperature data from all sensors was aggregated, and a complete spatiotemporal profile of the burn was created, showing precisely where and when the fire spread.

    Publications