Systems and methods for automatic environmental planning and decision support using artificial intelligence and data fusion techniques on distributed sensor network data

A system for community-based multi-sensor fused data processing to determine natural hazard risk, the system comprising:

• one or more memory units storing instructions;
• and
• one or more processors configured to execute the instructions to perform operations comprising:
• receiving localized data from a distributed multi-sensor network, the distributed multi-sensor network including a plurality of sensor devices associated with a community;
• receiving property data, community infrastructure data and environmental data from at least one external repository;
• generating combined data using data fusion, the combined data being based on the localized data from the distributed multi-sensor network and at least one of the property data, community infrastructure data or the environmental data;
• determining a community risk score for a natural hazard by implementing a machine learning method on the combined data;
• and
• performing a mitigating action based on the community risk score.

A non-transitory computer-readable medium having stored thereon computer-readable instructions that, when executed by a processor, cause the processor to execute a method for community-based multi-sensor fused data processing to determine natural hazard risk, the method comprising:

• receiving, at an event server, localized data from a distributed multi-sensor network, the distributed multi-sensor network including a plurality of sensor devices associated with a community;
• receiving, at the event server, property data, community infrastructure data and environmental data from at least one external repository;
• generating, by the event server, combined data using data fusion, the combined data being based on the localized data from the distributed multi-sensor network and at least one of the property data, community infrastructure data or the environmental data;
• determining, by the event server, a community risk score for a natural hazard by implementing a machine learning method on the combined data;
• and
• performing, by the event server, a mitigating action based on the community risk score.