Search

KR-20260065134-A - Artificial intelligence fire monitoring system linked to drones and fire suppression method using it

KR20260065134AKR 20260065134 AKR20260065134 AKR 20260065134AKR-20260065134-A

Abstract

The present invention relates to a fire monitoring system capable of rapidly suppressing a fire by analyzing information transmitted from monitoring means individually installed in different zones based on artificial intelligence to determine the presence of a fire, and moving a drone to the zone where the fire occurred when a fire is determined, while providing different fire extinguishing means depending on the type of fire. More specifically, the invention relates to a fire monitoring system capable of monitoring fires in multiple divided zones in conjunction with a drone equipped with fire extinguishing means and a camera, comprising monitoring means individually installed in multiple zones to monitor for the presence of a fire, and a control server that analyzes information transmitted from said monitoring means based on artificial intelligence and controls the drone to move to the fire zone where the fire occurs so that the fire can be suppressed by the fire extinguishing means when a fire is determined. The fire extinguishing means equipped on said drone is characterized by including at least one of a first extinguishing agent for suppressing general fires corresponding to multiple zones, a second extinguishing agent for suppressing liquid fires, a third extinguishing agent for suppressing electrical fires, a fourth extinguishing agent for suppressing metallic fires, and a fifth extinguishing agent for suppressing oil fires.

Inventors

  • 박명석

Assignees

  • 에이치에스소프트 주식회사

Dates

Publication Date
20260508
Application Date
20241101

Claims (5)

  1. In a fire monitoring system capable of monitoring fires in multiple divided zones in conjunction with at least one drone (100) equipped with a fire extinguishing means (110) and a camera (120), The above fire monitoring system is Monitoring means (200) individually installed in multiple zones to monitor for fire; and A control server (300) that analyzes information transmitted from the above monitoring means (200) based on artificial intelligence, and controls the drone (100) to move to the fire occurrence zone when a fire is determined, so that the fire can be suppressed by the fire extinguishing means (110); An artificial intelligence-type fire monitoring system linked with a drone, characterized in that the fire extinguishing means (110) provided in the above drone (100) includes at least one of a first fire extinguishing agent (111) for suppressing general fires corresponding to a plurality of zones, a second fire extinguishing agent (113) for suppressing liquid fires, a third fire extinguishing agent (115) for suppressing electrical fires, a fourth fire extinguishing agent (117) for suppressing metallic fires, and a fifth fire extinguishing agent (119) for suppressing oil fires.
  2. In paragraph 1, The first extinguishing agent (111) uses water or a powder-type extinguisher, The second fire extinguisher (113) uses at least one of a powder fire extinguisher, a carbon dioxide fire extinguisher, and a foam fire extinguisher, and The third extinguishing agent (115) uses a carbon dioxide extinguisher or a powder extinguisher, The fourth fire extinguisher (117) uses processed dry sand or powder-type fire extinguisher, and The fifth fire extinguishing agent (119) is an artificial intelligence fire monitoring system linked with a drone, characterized by using a fire extinguisher with potassium carbonate or potassium acetate as the main component.
  3. In paragraph 2, The above control server (300) Store and manage zone information for each zone individually, An artificial intelligence-based fire monitoring system linked with a drone, characterized by individually managing zone information into Zone A, where the frequency of general fires is judged to be high; Zone B, where the frequency of liquid fires is judged to be high; Zone C, where the frequency of electrical fires is judged to be high; Zone D, where the frequency of metallic fires is judged to be high; and Zone E, where the frequency of oil fires is judged to be high.
  4. In paragraph 3, The above control server (300) An artificial intelligence-based fire monitoring system linked with a drone, characterized by enabling fire suppression based on priority fire suppression list information in the event that fires occur simultaneously in multiple zones.
  5. A fire suppression method for suppressing a fire occurring in a plurality of divided zones in conjunction with at least one drone (100) equipped with a fire extinguishing means (110) and a camera (120), The above fire suppression method is 1) A step of receiving data information regarding whether a fire has occurred from a monitoring means (200) installed in each zone; 2) A step of analyzing received data information based on artificial intelligence to identify the fire occurrence area and zone information regarding the said fire occurrence area; 3) a step of moving the drone (100) to the fire occurrence area, and confirming a fire extinguishing means (110) containing a solvent corresponding to the confirmed area information; and 4) A step of suppressing a fire while monitoring through image information of a camera (120) equipped on the drone (100); characterized by including a fire suppression method using an artificial intelligence-type fire monitoring system linked with a drone.

Description

Artificial intelligence fire monitoring system linked to drones and fire suppression method using it This technology relates to a fire monitoring system that analyzes information transmitted from monitoring means individually installed in different zones based on artificial intelligence to determine the presence of a fire, moves a drone to the zone where the fire occurred when a fire is detected, and provides different firefighting means depending on the type of fire to rapidly suppress the fire. Generally, firefighting helicopters are aircraft that fly using lift and thrust generated by the airflow passing over the surface of rotor blades, which are rotated by an engine; they are utilized for various purposes such as transport and movement, attack, and firefighting. In particular, firefighting helicopters are being effectively used to suppress fires in locations where fire trucks cannot move or fire hoses cannot reach, such as wildfires. However, these firefighting helicopters had the disadvantage of being able to suppress fires only from the outside of houses or buildings, and there was a problem in that they could not effectively suppress fires occurring inside buildings. As such, various firefighting robots and helicopters have recently been used at fire scenes to approach the source of flames for rapid fire suppression. In particular, with the advancement of unmanned aerial vehicle (UAV) technology, there is a trend toward developing UAVs capable of performing designated missions—such as attack, reconnaissance, information relay, and surveillance—without a pilot on board for firefighting purposes. However, even in the case of such unmanned aircraft (or drones), there is a problem in that they cannot suppress fires occurring inside buildings in the early stages, or perform efficient firefighting operations, that is, cannot use solvents appropriate for the substances causing the fire. FIG. 1 is a schematic diagram illustrating an artificial intelligence-type fire monitoring system linked with a drone according to the present invention. Figure 2 is a conceptual diagram of Figure 1. FIG. 3 is a drawing illustrating a conventional drone according to FIG. 1. FIG. 4 is a drawing illustrating a fire extinguishing means equipped in a drone according to FIG. 3. FIG. 5 is a flowchart illustrating a fire suppression method using an artificial intelligence-type fire monitoring system linked with a drone according to the present invention. Hereinafter, various embodiments are described in more detail with reference to the attached drawings. The embodiments described in this specification may be modified in various ways. Specific embodiments may be depicted in the drawings and described in detail in the detailed description. However, specific embodiments disclosed in the attached drawings are intended only to facilitate understanding of various embodiments. Accordingly, the technical concept is not limited by specific embodiments disclosed in the attached drawings, and it should be understood that it includes all equivalents or substitutions that fall within the spirit and scope of the invention. Terms including ordinal numbers, such as first, second, etc., may be used to describe various components, but these components are not limited by the aforementioned terms. The aforementioned terms are used solely for the purpose of distinguishing one component from another. In this specification, terms such as “comprising” or “having” are intended to specify the existence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof. When a component is described as being “connected” or “connected” to another component, it should be understood that it may be directly connected to or connected to that other component, or that there may be other components in between. On the other hand, when a component is described as being “directly connected” or “directly connected” to another component, it should be understood that there are no other components in between. Furthermore, in describing the present invention, if it is determined that a detailed description of related known functions or configurations may unnecessarily obscure the essence of the invention, such detailed description is abbreviated or omitted. Hereinafter, an artificial intelligence-type fire monitoring system linked with a drone according to the present invention (hereinafter briefly referred to as the "monitoring system") will be described in detail with reference to the attached drawings. Before explaining, in order to clearly convey the gist of the present invention, a workplace having a predetermined area is divided into multiple zones (Zones A to E) for description, and as an example, fire suppression list information of the highest prior