VISION BASED INTELLIGENT FIRE THERMOMETRIC POSITIONING SYSTEM FOR FIRE-FIGHTING UTILIZING RFID AND NRF TECHNOLOGIES

Abstract

A vision based intelligent fire thermometric positioning system for fire-fighting utilizing rfid and nrf technologies comprises IFTPT_FFTNode (10), which is outfitted with a Raspberry Pi Processor (10H), nRF Module (10A), Camera (10B), RFID Reader (10G), Temperature Sensor (10F), GPS Modem (10E), Indicator (10C), and Solar Power Supply (10D), is utilized to identify fire incidents, track temperature distribution, and transmit real-time data. The data collected from IFTPT_FFTNodes is centrally received and aggregated by the IFTPR_FFTNode, which is outfitted with an ATmega2560 Board, nRF Module, GSM Modem, Display, and Solar Power Supply, this allows for communication with the control room or cloud server to provide thorough analysis and coordination of firefighting and rescue operations.

Specification

Description:FIELD OF THE INVENTION
This invention relates to vision based intelligent fire thermometric positioning system for fire-fighting utilizing rfid and nrf technologies.
BACKGROUND OF THE INVENTION
This innovative firefighting system revolutionizes emergency response tactics by fusing state-of-the-art technology including nRF communication, RFID, and vision-based monitoring. By carefully placing nodes equipped with cameras, RFID readers, and temperature sensors, the system can continually track temperature distribution in real time and detect fire occurrences in a timely manner.
The problem of improving technology for rescue and firefighting operations is addressed by this innovation, particularly in situations that are constantly changing, such building fires or natural disasters. Traditional methods sometimes struggle to identify fire situations quickly, measure temperature distribution accurately, and efficiently plan response efforts.
US20210183232A1: Devices, methods, and systems for a self-testing fire sensing device are described herein. One device includes an adjustable particle generator and a variable airflow generator configured to generate an aerosol density level sufficient to trigger a fire response without saturating an optical scatter chamber and the optical scatter chamber configured to measure a rate at which the aerosol density level decreases after the aerosol density level has been generated, determine an airflow rate from an external environment through the optical scatter chamber based on the measured rate at which the aerosol density level decreases, and determine whether the self-testing fire sensing device is functioning properly based on the fire response and the determined airflow rate.
RESEARCH GAP: A Vision based automated solution for fire detection and location detector for is the novelty of the system.
KR101792766B1: The present invention provides a smart fire detection apparatus which can monitor fire detection and state information without additional equipment through fire detection terminals installed in a fire vulnerable area or a building and a wirelessly connected detection analysis unit. Moreover, a quick and perfect automatic fire extinguishing system in preparation for a fire accident is built to minimize accident damage by smoothly solving a fire accident and quickly taking follow-up measures.
RESEARCH GAP: A Vision based automated solution for fire detection and location detector for is the novelty of the system.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
Modern technologies are integrated into the Vision-Based Intelligent Fire Thermometric Positioning System to create an advanced network for managing and monitoring fire occurrences. It provides a comprehensive solution to address the difficulties faced in rescue and firefighting operations by combining nRF and RFID technologies with cloud-based infrastructure and IoT, thereby enhancing safety, efficacy, and efficiency in emergency response scenarios. A network of carefully placed nodes and cutting-edge communication tools powers this system. The IFTPT_FFTNode and the IFTPR_FFTNode are its two primary constituents. To identify and keep an eye on fire scenes, the IFTPT_FFTNode is placed in several locations. This node's configuration includes a Raspberry Pi processor, nRF Module, camera, RFID reader, temperature sensor, GPS modem, indicator, and solar power supply. It can gather data on temperature distribution and geographic location on its own. It detects fire occurrences using its camera and temperature sensor, then sends the data it has collected to the IFTPR_FFTNode, the central control room, or the cloud server for analysis. Furthermore, it communicates with flexible RFID tags worn by firemen using RFID technology, gathering and sending real-time updates on fire events to the central system.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 1: SYSTEM ARCHITECTURE
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms "a"," "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", "third", and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Modern technologies are integrated into the Vision-Based Intelligent Fire Thermometric Positioning System to create an advanced network for managing and monitoring fire occurrences. It provides a comprehensive solution to address the difficulties faced in rescue and firefighting operations by combining nRF and RFID technologies with cloud-based infrastructure and IoT, thereby enhancing safety, efficacy, and efficiency in emergency response scenarios. A network of carefully placed nodes and cutting-edge communication tools powers this system. The IFTPT_FFTNode and the IFTPR_FFTNode are its two primary constituents. To identify and keep an eye on fire scenes, the IFTPT_FFTNode is placed in several locations. This node's configuration includes a Raspberry Pi processor, nRF Module, camera, RFID reader, temperature sensor, GPS modem, indicator, and solar power supply. It can gather data on temperature distribution and geographic location on its own. It detects fire occurrences using its camera and temperature sensor, then sends the data it has collected to the IFTPR_FFTNode, the central control room, or the cloud server for analysis. Furthermore, it communicates with flexible RFID tags worn by firemen using RFID technology, gathering and sending real-time updates on fire events to the central system.
In contrast, the data collected from the IFTPT_FFTNodes is received and aggregated by the IFTPR_FFTNode.. The ATmega2560 Board, nRF Module, GSM Modem, Display, and Solar Power Supply are its equipped features. It interacts with the IFTPT_FFTNodes to gather fire incident data and transmit it to the cloud server or central control room. This node serves as a key hub for the efficient reception, processing, and dissemination of vital fire scene information to support response coordination and decision-making. The system is capable of more than just gathering and sending data. Using unmanned aerial vehicles to facilitate effective deployment, it allows temperature sensor equipment to be quickly deployed in changing fire scenarios. Personnel location and seamless communication are guaranteed by the user-friendly interface, which is built on RFID communication protocol. By offering real-time insights into temperature distribution and fire dynamics, improving overall situational awareness, and boosting response efficacy, this ground-breaking method transforms firefighting and rescue operations.
BEST METHOD OF WORKING
To enable effective response coordination in fire-fighting and rescue operations, the IFTPT_FFTNode, which is outfitted with a Raspberry Pi Processor, nRF Module, Camera, RFID Reader, Temperature Sensor, GPS Modem, Indicator, and Solar Power Supply, is utilized to identify fire incidents, track temperature distribution, and transmit real-time data.
Data collected from IFTPT_FFTNodes is centrally received and aggregated by the IFTPR_FFTNode, which is outfitted with an ATmega2560 Board, nRF Module, GSM Modem, Display, and Solar Power Supply. This allows for communication with the control room or cloud server to provide thorough analysis and coordination of firefighting and rescue operations.
During firefighting and rescue operations, wireless connection between nodes is made possible by the nRF Module, which is integrated into both nodes. This provides smooth data transmission and real-time coordination.
During firefighting and rescue operations, the camera embedded into the IFTPT_FFTNode is used to record visual data that helps with fire event identification and monitoring. This improves situational awareness and allows for well-informed decision-making.
To improve worker positioning and safety during firefighting and rescue operations, the RFID Reader built into the IFTPT_FFTNode is used to identify and track the movement of firefighters wearing RFID tags. It provides real-time location updates.
The IFTPT_FFTNode's integrated GPS modem is utilized to supply precise position data, allowing for the geographical tracking of fire occurrences and streamlining the deployment of resources during rescue and firefighting operations.
The GSM modem interfaced on the IFTPR_FFTNode is utilized to provide real-time data transfer and coordination of firefighting and rescue operations over cellular networks by facilitating connection between the IFTPR_FFTNode and the central control room or cloud server.
ADVANTAGES OF THE INVENTION
1. In order to facilitate response coordination in firefighting and rescue operations, the IFTPT_FFTNode is a strategically placed monitoring device outfitted with sensors and communication modules for the purpose of detecting fire incidents, tracking temperature distribution, and relaying real-time data.
2. By gathering data from IFTPT_FFTNodes, the IFTPR_FFTNode functions as a central receiver and data aggregator, facilitating connection with the control room or cloud server to provide thorough analysis and coordination of firefighting and rescue operations.
3. Wireless connection between nodes is facilitated through the use of the nRF Module, guaranteeing smooth data transmission and real-time coordination during rescue and firefighting operations.
4. Throughout firefighting and rescue operations, the camera gathers visual data that is essential for identifying and tracking fire occurrences, improving situational awareness, and assisting in well-informed decision-making.
5. Firefighters with RFID tags may be recognized and followed using the RFID Reader, which also provides real-time location updates to improve worker safety and positioning during rescue and firefighting operations.
6. By providing precise geolocation tracking of fire occurrences and enabling effective resource deployment during firefighting and rescue operations, the GPS Modem provides precise position information for the IFTPT_FFTNode.
7. The GSM Modem creates communication between the IFTPR_FFTNode and the cloud server or central control center, facilitating real-time data transmission and coordination via cellular networks and improving the effectiveness of firefighting and rescue operations.
, Claims:1. A vision based intelligent fire thermometric positioning system for fire-fighting utilizing rfid and nrf technologies comprises IFTPT_FFTNode (10), which is outfitted with a Raspberry Pi Processor (10H), nRF Module (10A), Camera (10B), RFID Reader (10G), Temperature Sensor (10F), GPS Modem (10E), Indicator (10C), and Solar Power Supply (10D), is utilized to identify fire incidents, track temperature distribution, and transmit real-time data.
2. The system as claimed in claim 1, wherein data collected from IFTPT_FFTNodes is centrally received and aggregated by the IFTPR_FFTNode, which is outfitted with an ATmega2560 Board, nRF Module, GSM Modem, Display, and Solar Power Supply, this allows for communication with the control room or cloud server to provide thorough analysis and coordination of firefighting and rescue operations.
3. The system as claimed in claim 1, wherein during firefighting and rescue operations, wireless connection between nodes is made possible by the nRF Module, which is integrated into both nodes. This provides smooth data transmission and real-time coordination.
4. The system as claimed in claim 1, wherein during firefighting and rescue operations, the camera embedded into the IFTPT_FFTNode is used to record visual data that helps with fire event identification and monitoring, this improves situational awareness and allows for well-informed decision-making.
5. The system as claimed in claim 1, wherein to improve worker positioning and safety during firefighting and rescue operations, the RFID Reader built into the IFTPT_FFTNode is used to identify and track the movement of firefighters wearing RFID tags, it provides real-time location updates.
6. The system as claimed in claim 1, wherein the IFTPT_FFTNode's integrated GPS modem is utilized to supply precise position data, allowing for the geographical tracking of fire occurrences and streamlining the deployment of resources during rescue and firefighting operations.
7. The system as claimed in claim 1, wherein the GSM modem interfaced on the IFTPR_FFTNode is utilized to provide real-time data transfer and coordination of firefighting and rescue operations over cellular networks by facilitating connection between the IFTPR_FFTNode and the central control room or cloud server.

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