US 2026/0228972 A1 · System and Method for Dynamic Monitoring of Spatio-Temporal Environmental Processes Using Mobile Sensing Agents and Adaptive Data Assimilation

Abstract

A system for dynamic monitoring of spatio-temporal environmental processes, such as bio-mass growth in water bodies, utilizes a plurality of mobile sensing agents equipped with environmental sensors to collect data. The system includes a processor and memory storing instructions that, when executed, implement a spatio-temporal model to predict the state of bio-mass growth and quantify associated uncertainties. A scheduling algorithm optimizes the selection of sensing locations and assigns the mobile sensing agents to those locations by considering the state of the bio-mass growth, associated uncertainties, operational constraints, and the agents' reachability. The system updates the model's states and parameters based on the collected data and iteratively refines subsequent sensing location selections and agent assignments.

Claims20

Dependent claims

A system for dynamic monitoring of spatio-temporal environmental processes describing bio-mass growth in water bodies using a plurality of mobile sensing agents equipped with sensors for collecting environmental data, the system comprising:

a processor;
and a memory having instructions stored thereon that, when executed by the processor, cause the system to:
implement a spatio-temporal model representing dynamic behaviors of the environmental processes based on parameters of the spatio-temporal model to predict a state of the bio-mass growth in water bodies defined by environmental variables, and an associated uncertainty;
execute a scheduling algorithm configured to select sensing locations for the mobile sensing agents and assign the mobile sensing agents to the selected sensing locations by optimizing an objective function of the state of the bio-mass growth and the associated uncertainty subject to operational constraints and reachability limitations of the mobile sensing agents;
update the states and parameters of the spatio-temporal model based on the environmental data collected by the mobile sensing agents at the sensing locations;
and
generate subsequent sensing location selections and agent assignments using the updated spatio-temporal model.

4 more elements

A method for dynamic monitoring of spatio-temporal environmental processes describing bio-mass growth in water bodies using a plurality of mobile sensing agents equipped with sensors for collecting environmental data, wherein the method uses a processor coupled with stored instructions implementing the method, wherein the instructions, when executed by the processor carry out steps of the method, comprising:

implementing a spatio-temporal model representing dynamic behaviors of the environmental processes based on parameters of the spatio-temporal model to predict a state of the bio-mass growth in water bodies defined by environmental variables, and the associated uncertainty;
executing a scheduling algorithm configured to select sensing locations for the mobile sensing agents and assign the mobile sensing agents to the selected sensing locations by optimizing an objective function of the state of the bio-mass growth and the associated uncertainty subject to operational constraints and reachability limitations of the mobile sensing agents;
updating the states and parameters of the spatio-temporal model based on the environmental data collected by the mobile sensing agents at the sensing locations;
and
generating subsequent sensing location selections and agent assignments using the updated spatio-temporal model.

2 more elements

Dependencies are inferred from the claim text.

System and Method for Dynamic Monitoring of Spatio-Temporal Environmental Processes Using Mobile Sensing Agents and Adaptive Data Assimilation

Life of this patent

System and Method for Dynamic Monitoring of Spatio-Temporal Environmental Processes Using Mobile Sensing Agents and Adaptive Data Assimilation

Life of this patent

Abstract

Claims20