AN INTELLIGENT FIREFIGHTING SYSTEM BASED ON IOT

Abstract

The present invention relates to an intelligent firefighting system based on IoT to improve fire detection, communication, and suppression in diverse settings, such as buildings, woods, industrial facilities, and public areas. The intelligent firefighting system comprises IoT-enabled sensors, gadgets, and communication modules to monitor, detect, and respond to fire crises in real-time. The system is intended to improve fire detection, localization, suppression, and evacuation procedures via sophisticated algorithms and cloud-based analytics. It utilises real-time data acquisition from environmental sensors, personal protective equipment (PPE), building systems, and external sources to enhance firefighting techniques and guarantee responder safety. The innovation pertains to firefighting, fire safety, and emergency management. The present system improves fire detection precision, decreases reaction time, and offers superior overall fire safety management.

Specification

Description:Field of the Invention
The present invention belongs to the technical field of Internet of Things for Fire Fighting Facilities, more particular to an intelligent firefighting system based on IoT to improve fire detection, communication, and suppression in diverse settings, such as buildings, woods, industrial facilities, and public areas.
Background of the Invention
Contemporary firefighting systems are reactive and reliant on manual operation, leading to delays and inefficiencies. Conventional fire detection devices have limited coverage and may not deliver real-time information. IoT-based solutions offer enhanced situational awareness and expedited reaction times, enabling intelligent, automated firefighting systems with early alerts, accurate localization, and coordinated response methods.
Tianxiang Li & Ping Hou (2019), research has concentrated on creating intelligent fire monitoring and emergency response systems utilising Internet of Things (IoT) technologies. These solutions seek to improve firefighting efficacy and mitigate property damage and fatalities. The implementation of narrowband IoT (NB-IoT) technology in fire prevention systems provides substantial benefits for connection and efficiency.
B., Vishal et al.( 2018), & Ryu, Chang-Su. (2015), described an IoT-based fire detection systems employ wireless sensor networks and integrated control systems for real-time monitoring and intelligent directed guidance in crises.
S. R. Vijayalakshmi and S. Muruganand(2017), describe an advanced systems which integrate many modules for fire detection, monitoring, and safety management, catering to the intricate demands of contemporary industrial and commercial structures.
N. Jayapandian, (2019), The Internet of Things (IoT) is revolutionizing firefighting in skyscrapers and high-rises. However, most buildings lack adequate fire monitoring and prevention systems. This article proposes the use of Unmanned Aerial Vehicles (UAVs) to address this issue. The UAVs can be deployed from the Fire Control Unit (FCU) via the IoT, detecting fire presence and transmitting distress signals to the command-and-control unit. The pilot monitors the flight trajectory and receives video and fire scan data from the UAV. The location of the skyscraper is verified using GPS, and authorization is sought from the relevant security agency to deploy the extinguisher truck. This technique is expected to improve the quality of service.
J. V. Raj and T. V. Sarath(2019), The study aims to design and implement a real-time stress monitoring system for firefighters in fire rescue missions. The system includes a wireless sensor node, a microcontroller, a ZigBee communication module, and a rechargeable power supply. It uses Message Queuing Telemetry Transport (MQTT) as the IoT messaging protocol and Adafruit IO as the broker and analytics platform. The system generates warnings for the fire engine through the UI and uses machine learning methodologies to analyze anomalies and forecast stress levels among firefighters in the future.
None of the prior art indicated above either alone or in combination with one another disclose what the present invention has disclosed.
The presnet "Intelligent Firefighting System based on IoT" aims to improve fire emergency detection and response by integrating IoT sensors and devices. The system detects fire hazards in real-time, sends alerts to emergency services, and allows remote monitoring, improving response times and safety. Technical specifications include IoT sensors for smoke, temperature, and gas detection, real-time data transmission to central systems, automated response protocols, and cloud-based data analytics.
Drawings
Figure 1: Architecture of Intelligent firefighting system based on IoT
Figure 2: Integration of IoT sensors for fire safety and related systems
Detailed Description of the Invention
The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.
In any embodiment described herein, the open-ended terms "comprising," "comprises," and the like (which are synonymous with "including," "having" and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like. As used herein, the singular forms "a", "an", and "the" designate both the singular and the plural, unless expressly stated to designate the singular only.
The present invention improves fire safety through expedited detection, remote surveillance, and automated interventions. It utilises IoT sensors to identify risks in real-time, allowing prompt intervention via smartphone notifications and automatic responses such as activating sprinklers. The technology provides data-driven insights for predictive maintenance and is scalable for interaction with other building systems, enhancing flexibility and efficiency in fire protection practices.The present system comprises of:
a) a multitude of IoT sensors for monitoring environmental indicators suggestive of fire, including smoke, temperature, and gas concentrations;
b) a control unit designed to accept data from IoT sensors and analyse it for fire detection;
c) a network of communication devices for real-time data transmission to first responders and central control centres; and
d) an interface designed to notify users and facilitate manual operation of fire suppression systems.
In preferred embodiment, the process of the present invention comprises the following steps:
• Integration of IoT sensors for smoke, temperature, and gas is implemented throughout the facility. These sensors incessantly assess environmental variables to identify fire threats in real time.
• Real-Time Data Acquisition and Transmission: The data from these sensors is conveyed to a central system over wireless network. This solution is often cloud-based for convenient data storage and accessibility.
• The central monitoring system analyses data using pre-set criteria and algorithms to identify anomalies that suggest possible fire risks. Upon detection of a hazard, the system activates the requisite reactions.
• Automated Response Mechanisms: Upon identification of a fire threat, the system can autonomously initiate safety protocols such as activating sprinklers, sounding sirens, and deactivating ventilation systems to inhibit the spread of the fire.
• Remote Monitoring and Control: Building management and emergency services can remotely access the system using mobile applications or online interfaces. This feature enables users to get notifications, oversee real-time sensor data, and actively initiate or modify reactions as necessary.
In preferred embodiment, the system further employs cloud-based analytics to monitor sensor data longitudinally, facilitating predictive maintenance of firefighting apparatus. This mitigates possible failures by pre-emptively arranging repairs or replacements before problems occur.
The technology may autonomously provide emergency services with real-time information on the fire's location and severity, therefore enhancing the coordination of firefighting operations.
The system is scalable and may be linked with other building management systems, including HVAC, security, and lighting systems, to provide a full intelligent building ecosystem.
This technology improves fire detection precision, decreases reaction time, and offers superior overall fire safety management.
, Claims:1. An intelligent firefighting system based on IoT, comprising:
a) a multitude of IoT sensors for monitoring environmental indicators suggestive of fire, including smoke, temperature, and gas concentrations;
b) a control unit designed to accept data from IoT sensors and analyse it for fire detection;
c) a network of communication devices for real-time data transmission to first responders and central control centres; and
d) an interface designed to notify users and facilitate manual operation of fire suppression systems.
2. The intelligent firefighting system based on IoT as claimed in the claim 1, wherein IoT sensors comprise a temperature detection sensor, a smoke detection sensor, and a flame detection sensor.
3. The intelligent firefighting system based on IoT as claimed in the claim 1, wherein the process of the present system comprises the following steps:
• Step 1: Integration of IoT sensors for smoke, temperature, and gas is implemented throughout the facility;
• Step 2: the data from these sensors is conveyed to a central system over wireless network;
• Step 3: the central monitoring system analyses data using pre-set criteria and algorithms to identify anomalies that suggest possible fire risks. Upon detection of a hazard, the system activates the requisite reactions; and
• Step 4: Upon identification of a fire threat, the system can autonomously initiate safety protocols such as activating sprinklers, sounding sirens, and deactivating ventilation systems to inhibit the spread of the fire;
4. The intelligent firefighting system based on IoT as claimed in the claim 1 or 3, wherein system using mobile applications or online interfaces to remotely access emergency services.
5. The intelligent firefighting system based on IoT as claimed in the claim 1 or 3, wherein system employs cloud-based analytics to monitor sensor data longitudinally, facilitating predictive maintenance of firefighting apparatus.
6. The intelligent firefighting system based on IoT as claimed in the claim 1 or 3, wherein system autonomously provide emergency services with real-time information on the fire's location and severity, therefore enhancing the coordination of firefighting operations.

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