ARTIFICIAL INTELLIGENCE AND SWARM INTELLIGENCE METHOD AND SYSTEM IN SIMULATED ENVIRONMENTS FOR AUTONOMOUS DRONES AND ROBOTS FOR SUPPRESSION OF FOREST FIRES

Abstract

A new artificial intelligence and swarm intelligence method and system in simulated environments for autonomous drones and robots for suppression of forest fires, which foresees the simulation of swarm intelligence models in simulated environment for autonomous drones and robots for suppression of forest fires, performing the analysis of forest fires based on data and information on real time conditions or historical data, of a burning area, transforming same into a simulation environment to obtain a better strategy for firefighting, based on virtual reality environments for digital land, with a mixture of real and virtual images, using satellite/aerial images and combined maps of virtual reality, augmented and mixed. Thus, providing improvements and higher efficacy in combatting forest fires.

Claims

1. A method of artificial intelligence and swarm intelligence in simulated environments for autonomous drones and robots for suppression of forest fires, comprising: autonomous technology of suppression to forest fires, which predicts the simulation of swarm intelligence models in a simulated environment for autonomous drones and autonomous robots for suppression of forest fires, performing the analysis of forest fires based on data, and information about real time conditions or historical data, of a burning area, transforming it into a simulation environment to obtain a better firefighting strategy, based on virtual reality environment for the digital land, with a mixture of real and virtual images, using satellite/aerial images and virtual reality, combined maps, augmented and mixed, in an environment constructed with virtual reality and augmented reality, using map data from the real world or customized to simulate the fire dispersion using an algorithm that also calculates atmospheric effects, helping to prospect and combat forest fires.

2. The method according to claim 1, wherein said method uses at least one of: The Internet of Things (IoT), Swarm intelligence (SI), Automaton Quadruped Robotics and UAVs (unmanned aerial vehicles) in an environment simulated by computer, predicting tendencies and creating strategies to transform data in actionable insights.

3. The method according to claim 1, wherein said method uses computer models using data, mathematics, and computer instructions to predict events in the real world, covering techniques and methods for firefighting management, considering the heterogeneity and specific and local variabilities of the location.

4. A system for artificial intelligence and swarm intelligence in simulated environments for autonomous drones and robots for suppression of forest fires, the system comprising: several drones and robots with image processors, at least one processing unit with a software to simulate the fire dispersion and the progress of the fire using an algorithm, which also calculates atmospheric effects; at least one functional interactive interface which an administrator will use to control the velocity of the wind, direction of the wind and physical and environmental elements with simulation configuration; said system presenting an economic configuration and easily reproducible such as open code tools in conformity with the commercially available technology, specifications, standards and current regulatory orientations.

Description

DETAILED DESCRIPTION

[0023] The artificial intelligence and swarm intelligence method and system in simulated environments for autonomous drones and robots for suppression of forest fires, object of the present invention is a new tool of a research and development platform for autonomous technology of suppression to forest fires, which predicts the simulation of swarm intelligence models in simulated environment for autonomous drones and autonomous robots for suppression of forest fires, performing the analysis of forest fires based on data, and information on real time conditions or historical data, of a burning area, transforming same into a simulation environment to obtain a better firefighting strategy, based on virtual reality environment for the digital land, with a mixture of real and virtual images, using satellite/aerial images and virtual reality combined maps augmented, and mixed, in an environment constructed with virtual reality and augmented reality, using map data from the real world or customized to simulate the fire dispersion using an algorithm that also calculates atmospheric effects, helping to prospect and combat forest fires.

[0024] The method uses technology from new channels and tools for interdisciplinary conduction such as: The Internet of Things (IoT), Swarm intelligence (SI), Automaton Quadruped Robotics and UAVs (unmanned aerial vehicles) in an environment simulated by computer, predicting tendencies and creating strategies to transform data in actionable insights.

[0025] The method uses computer models using data, mathematics, and computer instructions to predict events in the real world. Covering techniques and methods for firefighting management, considering the heterogeneity and specific and local variabilities of the location.

[0026] The artificial intelligence and swarm intelligence method and system in simulated environments for autonomous drones and robots for suppression of forest fires, object of the present invention, comprises several drones and robots such as quadrupeds with image processors, at least one processing unit with a software to simulate the fire dispersion and the progress of the fire using an algorithm, which also calculates atmospheric effects; at least one functional interactive interface which the administrator will use to control the velocity of the wind, direction of the wind and similar physical and environmental elements with simulation configuration.

[0027] The system presents an economic configuration that is easily reproducible with open code tools in conformity with the commercially available technology, current specifications, standards, and regulatory orientations.

[0028] Therefore, the artificial intelligence and swarm intelligence method and system in simulated environments for autonomous drones and robots for suppression of forest fires, object of the present invention presents a new precise firefighting concept for the management of fires on specific locations. As a “management strategy” that uses the information technology to bring data from several sources to support the decisions associated to firefighting. By means of a model of the product, which gives an idea of the design, navigation, and layout, providing the analysis of forest fires based on data (information about real time conditions or historical data) of a burning area, transform it into a simulation environment and obtain the best strategy in firefighting, generating virtual environments based on reality for the digital land (mixture of real and virtual images), using satellite/aerial images and virtual reality, combined maps, augmented, and mixed to be able to simulate the dispersion of a forest, chemical and aerosol formation fire, using AI to control several drones and robots such as the quadruped robots.

[0029] In this manner, the method and system, objects of the present invention, have great advantages, since they provide a structure essentially based on rules for decision-making. In general, in conformity with the technology, specifications, standards and current regulatory orientations commercially available. Being constructed for error-prone environments in the real world, informing the necessary human decision-making, contributing to new efforts without interrupting the current and future firefighting forces, enabling the planning of smart action, smartly routing the correct alerts for swarm robot operations with customized alerts activated or released in specific strictness levels to help in the strategic planning, working in trans-frontier cooperation in micro networks with analysis of time and the propagation of the alert which reduces the time of the fire alerts from hours to seconds, thus providing a great preciseness to firefighting.

[0030] Thus, by the configuration and characteristics and working, described above, it can be clearly seen that the ARTIFICIAL INTELLIGENCE AND SWARM INTELLIGENCE METHOD AND SYSTEM IN SIMULATED ENVIRONMENTS FOR AUTONOMOUS DRONES AND ROBOTS FOR SUPPRESSION OF FOREST FIRES, object of the present invention, refers to a method and new devices for the State of the Art which comprises the unpublished novelty, inventive activity and industrial application which makes them deserve the Patent of Invention Privilege.