VISION EQUIPPED WIRELESS WORKSHOP FIRE MONITORING BUOY FOR REAL-TIME DETECTION AND ALERTING USING CC2500 RF TECHNOLOGY

Abstract

A system of vision equipped wireless workshop fire monitoring buoy for real-time detection and alerting using cc2500 rf technology comprises WWFTM_RTDNode (25), which is outfitted with a TI MSP432 Board (60), CC2500 RF Module (55), GPS Module (50), Camera (30), MLX90614 Temperature Sensor (45), Smoke Sensor (40), and Power Supply (35), real-time warnings are triggered upon detection of a fire the WWFRM_RTDNode is used to receive signals from the WWFTM_RTDNode and facilitate the transmission of critical data to external stakeholders for quick response and management of fire events in workshop and industrial settings, it is equipped with TI MSP432 Board, CC2500 RF Module, NuttyFi Wifi Module, HMI Display, Alarm, and Power Supply.

Specification

Description:FIELD OF THE INVENTION
This invention relates to vision equipped wireless workshop fire monitoring buoy for real-time detection and alerting using cc2500 rf technology.
BACKGROUND OF THE INVENTION
This innovative fire monitoring and alerting system uses wireless connectivity and state-of-the-art sensor technologies to revolutionize industrial safety protocols. It provides real-time detection and assessment of fire events in workshops by combining temperature, smoke, and live video scanning through cameras. This device, which is easy to use and reasonably priced, provides an expandable way to raise industrial fire safety regulations.
The problem of fire safety in industrial and workshop environments is addressed by this creative solution. The inability of conventional fire detection systems to provide precise location identification and real-time monitoring frequently leads to slowed reaction times and increased risks to people and property.
US10825335B2: The invention relates to a system for determining a verified fire status, having: an unmanned vehicle comprising a vehicle sensor unit for capturing a fire parameter, a central unit for transmitting an instruction signal SI to the vehicle, and a stationary fire detector comprising a fire detector sensor unit for capturing a reference fire parameter of a fire detector monitoring area, wherein the fire detector is designed for determining a reference fire status and for transmitting a corresponding fire detector signal SB to the central unit, wherein the vehicle is designed for navigating to the target location on the basis of the transmitted instruction signal, for capturing the fire parameter as a verification fire parameter of the fire detector monitoring area at the target location, and for determining a corresponding verification fire status, and wherein the vehicle is designed for transmitting a corresponding verification signal to the central unit, which can determine the reference fire status as verified reference fire status, if the reference fire status and the verification fire status correspond. The invention furthermore relates to a vehicle, a method, and a central unit, each corresponding to the system.
RESEARCH GAP: A CC2500 RF equipped Workshop Fire Monitoring Buoy with IoT and Cloud technology is the novelty of the system.
US10832562B2: The invention relates to a method for testing a fire protection component of a fire protection structure. The method comprises the steps providing an unmanned vehicle, navigating the unmanned vehicle by means of a navigation control unit of the unmanned vehicle to the fire protection component, at which a test is to be performed, and performing the test on the fire protection component by means of a testing device of the unmanned vehicle. The invention furthermore relates to an unmanned vehicle for testing a fire protection component of a fire protection structure as well as a fire protection system comprising such an unmanned vehicle for carrying out the method according to the invention.
RESEARCH GAP: A CC2500 RF equipped Workshop Fire Monitoring Buoy with IoT and Cloud technology 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.
A major improvement in proactive fire detection and response capabilities is introduced by the Vision-equipped Wireless Workshop Fire Monitoring Buoy, which is poised to revolutionize safety procedures in industrial settings. The system consists of a network of linked nodes, each with sensors and communication modules installed. The main sensing device is the WWFTM_RTDNode, which also houses a camera, MLX90614 temperature sensor, and smoke sensor, among other necessary parts. This node uses sensor data to continuously monitor the workplace environment for fire indicators and determine the location and probable severity of a fire. It quickly sends data to the central command unit, the WWFRM_RTDNode, upon detecting a fire signal. This node acts as the communication center, sending vital information to outside parties like fire stations and emergency services by utilizing technologies like the TI MSP432 Board and CC2500 RF Module. Furthermore, the NuttyFi Wifi Module integration improves connectivity for real-time cloud-based IoT monitoring.
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.
A major improvement in proactive fire detection and response capabilities is introduced by the Vision-equipped Wireless Workshop Fire Monitoring Buoy, which is poised to revolutionize safety procedures in industrial settings. The system consists of a network of linked nodes, each with sensors and communication modules installed. The main sensing device is the WWFTM_RTDNode, which also houses a camera, MLX90614 temperature sensor, and smoke sensor, among other necessary parts. This node uses sensor data to continuously monitor the workplace environment for fire indicators and determine the location and probable severity of a fire. It quickly sends data to the central command unit, the WWFRM_RTDNode, upon detecting a fire signal. This node acts as the communication center, sending vital information to outside parties like fire stations and emergency services by utilizing technologies like the TI MSP432 Board and CC2500 RF Module. Furthermore, the NuttyFi Wifi Module integration improves connectivity for real-time cloud-based IoT monitoring.
The system's intelligent reaction mechanism improves its operational efficacy. The system uses the integrated camera system to record real-time photos when a fire signal is detected, providing visual confirmation. Alarms are activated via the designated alarm module in the event that simultaneous sensor or camera fire signal detection, signifying serious fire occurrences, occurs. Concurrently, extensive location and severity data is sent to enable well-informed decision-making. The innovation uses cutting-edge sensor technology, wireless communication protocols, and cloud-based infrastructure to achieve its focus on precision, efficiency, and scalability. It is accessible to a broad spectrum of customers due to its cheap cost design and streamlined operating framework, guaranteeing broad acceptance and noticeable advancements in fire safety standards.
BEST METHOD OF WORKING
Workshop environments are monitored for fire events using the WWFTM_RTDNode, which is outfitted with a TI MSP432 Board, CC2500 RF Module, GPS Module, Camera, MLX90614 Temperature Sensor, Smoke Sensor, and Power Supply. Real-time warnings are triggered upon detection of a fire.
The WWFRM_RTDNode is used to receive signals from the WWFTM_RTDNode and facilitate the transmission of critical data to external stakeholders for quick response and management of fire events in workshop and industrial settings. It is equipped with TI MSP432 Board, CC2500 RF Module, NuttyFi Wifi Module, HMI Display, Alarm, and Power Supply.
In order to enable wireless communication between the WWFTM_RTDNode and WWFRM_RTDNode and to facilitate the transmission of fire detection signals and alert notifications to external stakeholders for quick response in workshop and industrial environments, the CC2500 RF Module is integrated into both of the motes.
The integrated GPS Module in the WWFRM_RTDNode is used to supply precise location data to the WWFTM_RTDNode, allowing for the accurate identification of fire incidents and the transmission of location-specific alerts to external stakeholders for prompt action in industrial and workshop settings.
The camera, which is also a part of the WWFRM_RTDNode, is used to record live video in order to supplement sensor data. This helps with accurate emergency assessment and response in industrial and workshop settings by giving visual proof of fire incidents.
In workshop and industrial settings, the MLX90614 Temperature Sensor and Smoke Sensor, which are both connected to the WWFRM_RTDNode, are utilized to detect temperature changes and the presence of smoke, respectively. These sensors provide vital information for early fire detection and speedy emergency response.
By offering connectivity for data transmission and alerting to external stakeholders, the NuttyFi Wifi Module integrated into the WWFRM_RTDNode facilitates seamless integration with IoT-based cloud technology, enabling remote monitoring and management of fire events in workshop and industrial settings.
ADVANTAGES OF THE INVENTION
1. The main sensing device, the WWFTM_RTDNode, is outfitted with numerous sensors and communication modules to keep an eye out for fire incidents in workshop settings and to send out real-time alerts when one is discovered.
2. The WWFRM_RTDNode serves as the central command center, receiving signals from the WWFTM_RTDNode and supervising the dissemination of vital information to outside parties in order to guarantee prompt handling and reaction to fire incidents in industrial and workshop environments.
3. The CC2500 RF Module facilitates wireless communication between the WWFTM_RTDNode and WWFRM_RTDNode. This allows for the sending of warning notifications and fire detection signals to external stakeholders, facilitating quick response times in industrial and workshop settings.
4. Precise detection of fire occurrences is made possible by the GPS Module giving the WWFTM_RTDNode precise position data. This enables the delivery of location-specific notifications to external stakeholders for prompt action in workshop and industrial settings.
5. The Camera records live video footage to supplement sensor data. This allows for the visual verification of fire incidents and helps with accurate emergency assessment and response in industrial and workshop settings.
6. By identifying temperature variations and the presence of smoke, the MLX90614 Temperature Sensor and Smoke Sensor contribute vital information for early fire detection, enabling timely emergency response in workshop and industrial settings.
, Claims:1. A system of vision equipped wireless workshop fire monitoring buoy for real-time detection and alerting using cc2500 rf technology comprises WWFTM_RTDNode (25), which is outfitted with a TI MSP432 Board (60), CC2500 RF Module (55), GPS Module (50), Camera (30), MLX90614 Temperature Sensor (45), Smoke Sensor (40), and Power Supply (35), real-time warnings are triggered upon detection of a fire.
2. The system as claimed in claim 1, wherein the WWFRM_RTDNode is used to receive signals from the WWFTM_RTDNode and facilitate the transmission of critical data to external stakeholders for quick response and management of fire events in workshop and industrial settings, it is equipped with TI MSP432 Board, CC2500 RF Module, NuttyFi Wifi Module, HMI Display, Alarm, and Power Supply.
3. The system as claimed in claim 1, wherein order to enable wireless communication between the WWFTM_RTDNode and WWFRM_RTDNode and to facilitate the transmission of fire detection signals and alert notifications to external stakeholders for quick response in workshop and industrial environments, the CC2500 RF Module is integrated into both of the motes.
4. The system as claimed in claim 1, wherein the integrated GPS Module in the WWFRM_RTDNode is used to supply precise location data to the WWFTM_RTDNode, allowing for the accurate identification of fire incidents and the transmission of location-specific alerts to external stakeholders for prompt action in industrial and workshop settings.
5. The system as claimed in claim 1, wherein the camera, which is also a part of the WWFRM_RTDNode, is used to record live video in order to supplement sensor data, this helps with accurate emergency assessment and response in industrial and workshop settings by giving visual proof of fire incidents.
6. The system as claimed in claim 1, wherein workshop and industrial settings, the MLX90614 Temperature Sensor and Smoke Sensor, which are both connected to the WWFRM_RTDNode, are utilized to detect temperature changes and the presence of smoke, respectively, these sensors provide vital information for early fire detection and speedy emergency response.
7. The system as claimed in claim 1, wherein by offering connectivity for data transmission and alerting to external stakeholders, the NuttyFi Wifi Module integrated into the WWFRM_RTDNode facilitates seamless integration with IoT-based cloud technology, enabling remote monitoring and management of fire events in workshop and industrial settings.

Documents