ACOUSTICALLY FOCUSED AND ARTIFICIAL INTELLIGENCE-SUPPORTED AUTONOMOUS FIRE EXTINGUISHING SYSTEM

Abstract

This invention relates to an autonomous fire extinguishing system that isolates flames from oxygen using the physical principles of low-frequency sound waves, and is equipped with artificial intelligence and dynamic acoustic focusing methods.

Description

1 TARIFF 5 ACOUSTICALLY FOCUSED AND AI-SUPPORTED AUTONOMOUS FIRE EXTINGUISHING SYSTEM Technological Field: This invention uses the physical principles of low-frequency sound waves to extinguish flames. isolating from oxygen, using artificial intelligence and dynamic acoustic focusing methods 10 It focuses on an equipped autonomous fire extinguishing system. State of the Art: In the current state of technology, low-frequency sound waves in the 30-60 Hz range can be used. Although it is known to extinguish flames by creating a vacuum effect, current systems utilize energy in a directionless manner. Due to its dispersion and the decrease in pressure amplitude as distance increases, it is suitable for large-scale use. It is not suitable. Furthermore, traditional devices operate at a fixed frequency and have a static nature. to prevent fire dynamics from changing due to various reasons or flames shifting direction with the wind Their intervention capabilities are quite limited. This invention, which uses dynamic beamforming, aims to overcome these technical bottlenecks. Instead of distributing sound energy in all directions using beamforming technology, it only uses 20 It provides a structure that confines sound waves to specified coordinates. With this method, sound waves can be transmitted over very long distances. The system can deliver a high-pressure column to the target even from long distances. Its AI-powered control mechanism regulates the flame flickering frequency and heat. By instantly analyzing the signature, it determines the most suitable extinguishing frequency for the current type of fire. It determines and optimizes intervention via phase shifters. 25 Thanks to its autonomous three-dimensional targeting capability, the system can perform thermal scanning. It can lock onto the movement of the fire within milliseconds. Phased array. This solution developed using the technology enables the sound wave to bypass the obstacle and converge at the exact focus by adjusting the phases of the sound waves even when there is a physical obstacle between the device and the fire center. With these 30 features, it constitutes an autonomous acoustic extinguishing solution that minimizes human intervention, enhances operational safety, and dynamically adapts to variable fire conditions. Description of the Figures Figure 1 - General Perspective and Component View of the System 35 Figure 2 - Internal Structure, Data Flow, and Focusing Schema of the System Figure 3 - Artificial Intelligence Decision and Process Flow Schema 2 References: 1. Thermal camera 2. Optical imaging sensor 3. Central processing unit 4. Artificial intelligence algorithm layer 10 5. Depth sensor 6. Communication module 7. Cellular type acoustic driver 8. Acoustic driver matrix 9. Digital signal processor 15 10. Multi-channel phase shifter circuit 11. Power amplifier stage 12. Feedback microphone 13. Focused acoustic energy column 14. Dynamic focus point 20 15. Beamforming Algorithm 16. Power supply and battery unit 17. Heat shield and protective casing 18. Cooling system 19. Pan-tilt movement mechanism 25 20. User interface 20.a. Sensor data acquisition step 20.b. Image processing and analysis step 20.c. Coordinate calculation step 20.d. Sound speed compensation step 30 20.e. Phase delay matrix creation step 20.f. Error correction and control loop. Description of the Invention: The invention minimizes human intervention in firefighting by directing energy to the target. It is an autonomous fire extinguishing system that increases efficiency by focusing the fire. The system works as follows: 3 It consists of three main stages: environmental data collection, data processing, and acoustic intervention. It consists of. When the system is activated, the heat shield and protective housing (17) are located The thermal camera (1) continuously scans the environment. Simultaneously, optical imaging is performed. Depth sensor (2) analyzes the visual boundaries of the flame and the density of the smoke. (5), determine the net distance of the fire from the system by laser or stereo imaging method 10 It measures and transmits the data to the Central Processing Unit (3). The central processing unit (3) transmits the incoming data to the AI ​​algorithm layer (4). AI, Dynamic focal point (14) where the flame is most intense and the extinguishing process will be started calculations. At this stage, the Beam shaping algorithm (15) calculates the target coordinate. To be able to focus, each cell type located within the acoustic driver matrix (8) must be 15 Calculates the phase delays that should be applied to the acoustic driver (7). The calculated delay data is sent to the Digital Signal Processor (9). Here, the generated low voltage signals, milliseconds via multi-channel phase shifter circuit (10) They are subjected to time shifts. Immediately afterwards, the power amplifier stage (11) processes these signals. It reaches a high amplitude that will create a extinguishing effect. 20 from the power supply and battery unit. (16) The powered system releases this energy to the atmosphere via the Acoustic driver matrix (8). Waves propagating in different phases create constructive interference in the air, targeting the desired coordinate. It forms a focused acoustic energy column (13). The Back placed around the matrix The feed microphone (12) measures the pressure intensity at the focal point instantaneously, thus centralizing transmits to the processing unit (3). If the focus is off or the fire has moved, Pan-tilt 25 While the motion mechanism (19) physically directs the system, the software also adjusts the phase differences. It updates in milliseconds. Circuits that heat up due to the intensity of the operation are stabilized by the Cooling system (18). All System operating status, error codes and fire data Communication module (6) While being transmitted to a central network, local users can access the user interface panel (20) 30 The process can be monitored through this. The autonomous management cycle of the invention is shown in Figure 3. The process is executed according to the flow. The process uses raw data from the thermal camera (1) and the depth sensor (5). It begins with the collection of data in the sensor data acquisition step (20.a.). Image processing In step (20.b.), the AI ​​algorithm layer (4) analyzes the morphology of the flame and The system determines the fire root coordinates (20.c.). To ensure physical accuracy, the system uses 35 The speed of sound compensation step (20d.) is executed; here, the speed of sound is adjusted according to the air temperature. Focusing time is optimized. Then the phase delay matrix creation step (20.e.) 4 The signal timing to go to each Cell type acoustic driver (7) is finalized. 5 Error detected by data received via the feedback microphone (12) during extinguishing. By running the correction cycle (20.f.), the focal point is adjusted millimeter by millimeter until the fire is extinguished. It is followed as follows.

Claims

REQUIREMENTS 5 1. The present invention uses the physical principles of low-frequency sound waves. Artificial intelligence and dynamic acoustic focusing isolate flames from oxygen. It relates to an autonomous fire extinguishing system equipped with thermal methods. Camera (1), Optical imaging sensor (2), Central processing unit (3), Artificial intelligence Algorithm layer (4), Depth Sensor (5), Communication Module (6), Cell type 10 Acoustic driver (7), Acoustic driver matrix (8), Digital signal processor (9), Multichannel Phase shifter circuit (10), Power amplifier stage (11), Feedback microphone (12), Focused acoustic energy column (13), Dynamic focal point (14), Beam shaping algorithm (15), Power supply and battery unit (16), Heat shield and protective housing (17), cooling system (18), Pan-Tilt Movement Mechanism (19) and 15 User interface (20) (20.a. Sensor data acquisition step, 20.b. Image processing and Analysis step, 20.c. Coordinate calculation step, 20.d. Sound speed compensation step, 20.e. Phase delay matrix creation step, 20.f. Error correction and control. It is characterized by its cycle.