HELIOS POMPANO INC - Florida Company Profile

RNNJYSF1JBS8

8U2J2

2025-10-21

HELIOS POMPANO INC.

2024-10-23

2020-12-22

2024-07-15

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National Science Foundation

SBIR PHASE II: DETECTION OF HIGH-RISK LIGHTNING STRIKES FOR WILDLAND FIRE MANAGEMENT -THE BROADER/COMMERCIAL IMPACT OF THIS SMALL BUSINESS INNOVATION RESEARCH (SBIR) PHASE II PROJECT INCLUDES A NOTABLE REDUCTION IN THE AREA BURNED BY LIGHTNING-INITIATED WILDFIRES. SUCH WILDFIRES ARE RESPONSIBLE FOR OVER 70% OF THE AREA BURNED IN THE ENVIRONMENTAL CATASTROPHES IN THE WESTERN UNITED STATES. GLOBALLY, WILDFIRES ARE RESPONSIBLE FOR 6.45 GIGATONS OF CO2 EMISSIONS ANNUALLY (18% OF TOTAL EMISSIONS). THIS TECHNOLOGY CAN IDENTIFY A FIRE IN SECONDS, UNLIKE THE PRESENT HEAT OR SMOKE IDENTIFICATION PRODUCTS THAT CAN TAKE HOURS OR DAYS. THIS WOULD HELP IN SIGNIFICANTLY REDUCING LOSS OF LIFE, HABITATS, PROPERTY, AND FORESTS. THE REDUCTION OF WILDFIRES WOULD REDUCE LARGE EVACUATIONS AND SMOKE-RELATED HEALTH CONDITIONS, THEREBY IMPROVING THE HEALTH AND WELFARE OF THE AMERICAN PUBLIC. ADDITIONAL BENEFITS COULD COME FOR BUSINESSES AND HOMEOWNERS FROM LOWER INSURANCE RATES DUE TO THE DECREASED RISK OF WILDFIRE DAMAGE. IF SUCH A TECHNOLOGY IS IMPLEMENTED IN CALIFORNIA ALONE, IT HAS THE POTENTIAL TO REDUCE ECONOMIC LOSSES BY AN ESTIMATED $84B-$112B PER YEAR. THE INTELLECTUAL MERIT OF THIS PROJECT LIES IN THE GROUND-BASED CHARACTERIZATION OF EXTREMELY-LOW-FREQUENCY (ELF) LIGHTNING EMISSIONS THROUGH ELECTROSTATIC FIELD CHANGES TO IDENTIFY LONG-CONTINUING CURRENT (LCC) STRIKES, WITH A 95% TARGET DETECTION EFFICIENCY WITH 40 M ACCURACY. LONG-CONTINUING-CURRENTS ARE THOSE THAT LAST FOR 40 MS OR LONGER AND ARE ESSENTIALLY RESPONSIBLE FOR EXCESSIVE HEATING. WILDFIRES START WHEN A LONG-CONTINUING-CURRENT STRIKES THE GROUND AT A LOCATION WHERE THE ENVIRONMENTAL CONDITIONS ARE CONDUCIVE FOR FIRE IGNITION. THE PROJECT WILL USE MACHINE LEARNING ALGORITHMS TO PINPOINT HIGH-RISK-LIGHTNING IGNITIONS, BY ANALYZING THE ENVIRONMENTAL CONDITIONS AT THE LCC STRIKE LOCATION. WHILE PHASE I HAS SUCCESSFULLY DEMONSTRATED THE TECHNICAL FEASIBILITY OF THE ELF-BASED DETECTION OF LCC ON A RELATIVELY FLAT LANDSCAPE, PHASE II OF THE PROJECT WILL FOCUS ON RESEARCH FOR THE TECHNOLOGY?S DEPLOYMENT IN DIVERSE FIRE-PRONE TERRAINS, INCLUDING HILLY OR MOUNTAINOUS LANDSCAPES, WITH VASTLY DIFFERENT TOPOGRAPHICAL, CONNECTIVITY, AND FOREST CONDITIONS, WITH MINIMAL LOSS OF THE LIGHTENING DETECTION RANGE. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE PLANNED FOR THIS AWARD.

955736.00

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0.00

2023-04-07

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Department of Agriculture

IN THE US, LIGHTNING IS THE LEADING CAUSE OF WILDFIRES IN TERMS OF AREA BURNED, RESPONSIBLE FOR 5.5 MILLION ACRES LOST IN 2020. OVER 70% OF THE AREA BURNED DURING WILDFIRES IN THE WESTERN US WAS DUE TO LIGHTNING IGNITIONS, AND LIGHTNING IS THE NUMBER ONE CAUSE OF WILDFIRES IN FLORIDA. ON AVERAGE, LIGHTNING-IGNITED WILDFIRES BECOME NINE TIMES LARGER THAN HUMAN-INITIATED FIRES BECAUSE THEY OFTEN GO UNNOTICED DURING IGNITION AND EARLY GROWTH, AND EXISTING TECHNOLOGY AVAILABLE TO FIRE MANAGEMENT AGENCIES CAN NEITHER QUICKLY NOR ACCURATELY IDENTIFY THEM. THOUSANDS OF LIGHTNING STRIKES CAN OCCUR EACH DAY WITHIN A WILDFIRE MANAGEMENT AREA, BUT ONLY LESS THAN 10% OF THESE ARE CAPABLE OF INITIATING A FIRE, KNOWN AS HIGH-RISK-LIGHTNINGTM (HRLTM). IT IS DIFFICULT TO IDENTIFY WHICH STRIKES WILL RESULT IN A FIRE, AND IMPRACTICAL TO SEND OUT PERSONNEL TO SEARCH EACH STRIKE SITE. FIRE NEURAL NETWORKTM (FNNTM) TECHNOLOGY CAN IDENTIFY THESE STRIKES WITHIN 40 SECONDS, BUT NOT ALL OF THESE STRIKES WILL RESULT IN A WILDFIRE IGNITION BECAUSE THIS IS ALSO DEPENDENT ON OTHER FACTORS, SUCH AS GROUND AND WEATHER CONDITIONS. THEREFORE, IT IS ESSENTIAL TO QUICKLY VERIFY THESE STRIKES TO ALLOW FIRST RESPONDERS TO ASSESS AND ACT WHILE THE RISK SPREAD IS STILL SMALL. THERE IS AN UNMET NEED FOR RAPID WILDFIRE IGNITION VERIFICATION AND REAL-TIME TOOLS TO MITIGATE RISKS TO VULNERABLE COMMUNITIES.FNNTM WILL DEVELOP A NOVEL METHOD TO PROTECT VULNERABLE RURAL COMMUNITIES FROM LIGHTNING-INITIATED WILDFIRES BY CREATING A FUNCTIONAL OPERATING MODEL TO; (I) PINPOINT AND MONITOR A WILDFIRE BY VERIFYING HRLTM IGNITION USING AN UNMANNED AERIAL VEHICLE (UAV) BASED SYSTEM CALLED FIREBIRDTM, REDUCING WILDFIRE LOCALIZATION TIME FROM AROUND 24 HOURS TO 40 MINUTES, AND (II) INTEGRATE REAL-TIME WILDFIRE DATA WITH LOCAL COMMUNITY WILDFIRE PROTECTION PLANS (CWPPS) WITHIN A GEOGRAPHIC INFORMATION SYSTEM (GIS) DASHBOARD FOR USE BY EMERGENCY SERVICES, PLANNING AUTHORITIES, COMMUNITY LEADERS AND LOCAL GOVERNMENTS. IT WILL EXPAND ON PROPRIETARY DETECTOR TECHNOLOGY DEVELOPED BY FNNTM, AND WILL USE AN UNDERLYING NOVEL AND OPEN-SOURCE GEOCODE. THE RESEARCH IS CLOSELY ALIGNED WITH THE JOHN D. DINGELL, JR. CONSERVATION, MANAGEMENT AND RECREATION ACT OF 2019 AND THE FEDERAL HEALTHY FORESTS RESTORATION ACT OF 2003. IN THIS PHASE I PROJECT, EIGHT VULNERABLE FLORIDA COUNTIES AND THEIR ASSOCIATED CWPPS WILL ACT AS A TRIAL FOR THE TECHNOLOGICAL DEVELOPMENT, TO INCLUDE ASPECTS SUCH AS COMMUNITIES AT RISK AND ASSOCIATED FIRE RISK RATINGS; CRITICAL FACILITIES LOCATIONS AND THEIR VULNERABILITY; AND WILDLAND-URBAN INTERFACES INCLUDING WILDLAND FUEL TYPES.THE OVERALL GOAL OF THE PROJECT IS TO PRODUCE A CWPP-LED GIS DASHBOARD THAT WILL IDENTIFY, WITHIN 40 MINUTES AND WITHIN 3 METERS, A LIGHTNING-INITIATED WILDFIRE, WHICH CAN THEN BE MONITORED AND ACTED ON BY EMERGENCY RESPONDERS. THE GIS DASHBOARD WILL ALSO IDENTIFY VULNERABLE COMMUNITIES AND INFRASTRUCTURE, HELPING EMERGENCY RESPONDERS MAKE INFORMED DECISIONS ON HOW BE,ST TO CONTROL THE WILDFIRE. THE USE OF THIS SYSTEM ACROSS THE US WILL HAVE SIGNIFICANT POSITIVE IMPACTS ON HUMAN HEALTH, HOMES AND BUSINESSES, SMALL COMMUNITIES, FARMS AND FARMLAND, LIVESTOCK, WILDLIFE AND HABITATS, FORESTS, AND IMPORTANT INFRASTRUCTURE SUCH AS POWER LINES AND ROADWAYS.

125000.00

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0.00

2023-07-31

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National Science Foundation

SBIR PHASE I: EXTREMELY LOW FREQUENCY CHARACTERIZATION OF HIGH-RISK LIGHTNING -THE BROADER IMPACT/COMMERCIAL POTENTIAL OF THIS SMALL BUSINESS INNOVATION RESEARCH (SBIR) PHASE I PROJECT INCLUDES A NOTABLE REDUCTION IN THE AREA BURNED BY LIGHTNING-INITIATED WILDFIRES. UNDERSTANDING WHICH LIGHTNING STRIKES ARE CAPABLE OF IGNITING WILDFIRES IS CRITICAL AS IN THE WESTERN U.S. LIGHTNING-INITIATED WILDFIRES ARE RESPONSIBLE FOR OVER 70% OF THE AREA BURNED IN THESE ENVIRONMENTAL CATASTROPHES. GLOBALLY, WILDFIRES ARE RESPONSIBLE FOR 6.45 GIGATONS OF CARBON DIOXIDE (CO2) EMISSIONS ANNUALLY (18% OF TOTAL EMISSIONS). DETECTING HIGH RISK LIGHTNING STRIKES (THOSE CAPABLE OF IGNITING WILDFIRES) MAY ALSO SIGNIFICANTLY REDUCE LOSSES OF LIFE, WILDLIFE, HABITATS, PROPERTY, AND FORESTS AS CURRENTLY LIGHTNING-INITIATED WILDFIRES IN THE US DEVASTATE 4-6 MILLION ACRES PER YEAR. THE REDUCTION OF WILDFIRES CAN REDUCE LARGE EVACUATIONS AND SMOKE-RELATED HEALTH CONDITIONS, THEREBY IMPROVING THE HEALTH AND WELFARE OF THE AMERICAN PUBLIC. BOTH PEOPLE AND BUSINESSES WOULD BENEFIT FROM LOWER INSURANCE RATES DUE TO THE DECREASED RISK OF WILDFIRE DAMAGE. LARGE WILDFIRES ARE A CONSTANT CONCERN TO MORE THAN HALF OF THE MISSION ASSURANCE PRIORITY MILITARY INSTALLATIONS DUE TO ROUTINE TESTING AND TRAINING ACTIVITIES THAT ARE SIGNIFICANT IGNITION SOURCES. THE PROPOSED PROJECT MAY ALSO ADDRESS MILITARY IGNITION CONCERNS. WILDFIRES START WHEN A LONG CONTINUING CURRENT (LCC) STRIKES THE GROUND AT A LOCATION WHERE THE ENVIRONMENTAL CONDITIONS ARE CONDUCIVE FOR FIRE IGNITION. LCCS ARE THOSE THAT LAST FOR 40 MS OR LONGER AND ARE ESSENTIALLY RESPONSIBLE FOR EXCESSIVE HEATING. THE TRANSFORMATIVE ASPECT OF THIS RESEARCH LIES IN THE GROUND-BASED CHARACTERIZATION OF EXTREMELY LOW FREQUENCY (ELF) LIGHTNING EMISSIONS TO IDENTIFY LCC STRIKES, WITH A 95% TARGET DETECTION EFFICIENCY AND WITH 40 M ACCURACY. WHILE FOR MOST LIGHTNING STRIKES THE CURRENT CEASES TO FLOW AFTER TENS OF MICROSECONDS, A SMALL PORTION OF LIGHTNING STRIKES (LESS THAN 10%) CONTAIN A CONTINUING CURRENT THAT LASTS THOUSANDS OF TIMES LONGER, FROM TENS TO HUNDREDS OF MILLISECONDS. THIS CAN BE VIEWED AS A QUASI-STATIONARY ARC BETWEEN THE CLOUD CHARGE SOURCE AND THE GROUND AND IS DETECTABLE THROUGH ELECTROSTATIC FIELD CHANGES AND ELF EMISSIONS. A SECONDARY INNOVATIVE FEATURE LIES IN THE USE OF MACHINE LEARNING ALGORITHMS TO PINPOINT HIGH RISK LIGHTNING IGNITIONS BY ANALYZING THE ENVIRONMENTAL CONDITIONS AT THE LCC STRIKE LOCATION. THIS TECHNOLOGY CAN IDENTIFY A FIRE IN SECONDS, UNLIKE THE PRESENT HEAT OR SMOKE IDENTIFICATION SYSTEMS THAT CAN TAKE HOURS OR DAYS TO IDENTIFY A FIRE. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.

270109.00

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