Abstract: A FOREST FIRE MONITORING AND ALERT SYSTEM Discloses herein a Forest Fire Monitoring and Alert System comprises Control unit (10), AI Module (11), XBee (12), Power supply unit (13), Solar panel (14), LoRa Module (15), LoRa Module (21)Control Unit (32), Wind Monitor (33), XBee (34), Power Supply (35), Temperature Sensor (36), Smoke Sensor (37), and Flame Sensor (38).The Control unit (10) receives data from multiple Slave units via XBee module (12).The Solar panel (14) acts as the energy source and the energy will be stored in the Power supply unit (13). The data is transmitted to the nearest base of Forest Department via the LoRa Module (15) in real-time.The Temperature sensor (36), the flame sensor (38) and smoke sensor (37) gather their respective information and transmit them to Master unit via XBee Module (34). The all the hardware is powered by the Power supply unit (35). The Wind monitor device (33) is used to monitor wind speed and direction as well as generates energy using wind power; and this energy is stored in the Power supply unit(35).The present system works on the Master-slave protocol. An alert is automatically triggered whenever forest fire or possible conditions is sensed; and with the help of AI, prediction is done that in which direction the fire will spread more, so that appropriate actions is taken.
Description:Field of the Invention
This invention relates to aForest Fire Monitoring and Alert System.
Background of the Invention
Forest fires are a regular phenomenon in our country often observed during summers. These are disasters that cause extensive damage to the entire world in economic, ecological, and environmental ways. These fires can be caused by natural reasons, such as high temperatures that can create spontaneous combustion of dry fuel such as sawdust, leaves, lightning, etc., or by human activities, such as unextinguished campfires, arson, inappropriately burned debris, etc.
In recent history and even the present day, several forest fire detection methods have been implemented, such as watchtowers, satellite image processing methods, optical sensors, and digital camera-based methods2, although there are many drawbacks, such as inefficiency, power consumption, latency, accuracy and implementation costs. To address these drawbacks, a forest fire detection system using wireless sensor networks is proposed in this paper.
CN109087475A A kind of forest fireproofing early warning system based on LoRa wireless network, including intelligent spraying device and the video monitoring apparatus being uniformly distributed in inside forest, the intelligent spraying device and video monitoring apparatus are wirelessly connected with LoRa gateway respectively, the LoRa gateway is wirelessly connected with server, the server is connected with warning device, communication module and Cloud Server, the communication module control is connected with unmanned plane, the Cloud Server network connection has monitor supervision platform, the present invention can carry out real-time monitoring to forest environment, and certain pre-processing can be carried out to fire hazard, incipient fault data is sent to monitor supervision platform in time.
Research Gap:XBee module are used to communicate between the master unit and slave unit.
The device includes fixed hardware locations that monitors their respective location.
KR102309166B1 A method and system for predicting the spread of a forest fire and monitoring a recurrence using a Disposable IoT terminal are provided. A forest fire monitoring method according to an embodiment of the present invention comprises the steps of: a Drone spraying a Disposable IoT terminal equipped with a temperature sensor and a CO2 sensor; Disposable IoT terminal sprayed, measuring the temperature and CO2 concentration of the atmosphere; The Disposable IoT terminal compares the measured temperature and the CO2 concentration with the temperature and the CO2 concentration measured in the previous time to monitor the occurrence of a forest fire.
This enables safer and more effective suppression of forest fires through predicting the spread of forest fires and monitoring re-ignition using Disposable IoT terminals.
Research Gap:The prediction of fire hazard is done on basis of temperature, wind speed and wind direction data.
The proposed device triggers alarm for various conditions especially for fire hazard.
CN109448295B The invention discloses a forest and grassland fire prevention early warning monitoring system, which relates to the technical field of fire monitoring and comprises static monitoring points and dynamic monitoring points, wherein the static monitoring points and the dynamic monitoring points monitor monitoring data used for judging the occurrence probability of a fire and the fire condition in a set area, and then the monitoring data are transmitted to a monitoring center through a signal transmission network. The monitoring center generates corresponding alarm data information after analysis, sends the alarm data information to the mobile terminal of the fire fighter through an alarm information sending network, and realizes networking coverage of a monitoring area and highlights of the monitoring area by combining the static monitoring points with the dynamic monitoring points. The intensity of fire monitoring is flexibly adjusted according to the probability of fire occurrence in the monitoring area, and accurate assessment and early warning are made on fire and fire hidden dangers in a targeted mode. Due to the fact that various factors influencing the fire occurrence probability are constantly changed, the scheme can be adjusted adaptively, and monitoring accuracy is high.
Research Gap: The wind data and temperature data are used to identify fire hazard location and direction of spreading.
An alarm is triggered at nearest base and a rescue team will be sent immediately at respective location.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. Present invention is A Forest Fire Monitoring and Alert 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.
We have proposed a better and more efficient forest fire alert system to be installed in forests to handle the above issued problem. The device consists of two units: Master unit and Slave unit.
Discloses herein a Forest Fire Monitoring and Alert System comprises Control unit (10), AI Module (11), XBee (12), Power supply unit (13), Solar panel (14), LoRa Module (15), LoRa Module (21)Control Unit (32), Wind Monitor (33), XBee (34), Power Supply (35), Temperature Sensor (36), Smoke Sensor (37), and Flame Sensor (38). The Control unit (10) receives data from multiple Slave units via XBee module (12). The Solar panel (14) acts as the energy source and the energy will be stored in the Power supply unit (13). The data is transmitted to the nearest base of Forest Department via the LoRa Module (15) in real-time. The Temperature sensor (36), the flame sensor (38) and smoke sensor (37) gather their respective information and transmit them to Master unit via XBee Module (34). The all the hardware is powered by the Power supply unit (35). The Wind monitor device (33) is used to monitor wind speed and direction as well as generates energy using wind power; and this energy is stored in the Power supply unit(35). The present system works on the Master-slave protocol. An alert is automatically triggered whenever forest fire or possible conditions is sensed; and with the help of AI, prediction is done that in which direction the fire will spread more, so that appropriate actions is taken.
Fig. 1 comprises of the XBeeModule (12), Control unit (10), AI Unit(11), Power supply unit(13), Solar panel(14), and LoRa Module(15). The Control unit(10) will receive data from multiple Slave units via XBee module (12). The Solar panel(14) will act as the energy source and the energy will be stored in the Power supply unit(13). The data will be transmitted to the nearest base of Forest Department via the LoRa Module(15) in real-time.
Fig.2 consists of a Control unit(32), Flame sensor(38), Smoke sensor(37), Temperature sensor(36), Wind monitor device(33), Power supply unit(35) and XBee Module(34). The Temperature sensor(36), the flame sensor(38) and smoke sensor(37) will gather their respective information and transmit them to Master unit via XBee Module (34). All the hardware will be powered by the Power supply unit (35). The Wind monitor device(33) will be used to monitor wind speed and direction as well as generates energy using wind power. This energy will be stored in the Power supply unit(35).
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:
Fig. 1: Architecture of Master Unit
Fig.2: Architecture of the Slave Unit
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.
These and other advantages of the present subject matter would be described in greater detail with reference to the following figures. It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
We have proposed a better and more efficient forest fire alert system to be installed in forests to handle the above issued problem. The device consists of two units: Master unit and Slave unit.
Fig. 1 comprises of the XBeeModule (12), Control unit (10), AI Unit (11), Power supply unit(13), Solar panel(14), and LoRa Module(15). The Control unit (10) will receive data from multiple Slave units via XBee module (12). The Solar panel (14) will act as the energy source and the energy will be stored in the Power supply unit(13). The data will be transmitted to the nearest base of Forest Department via the LoRaModule (15) in real-time.
Fig.2 consists of a Control unit(32), Flame sensor(38), Smoke sensor(37), Temperature sensor(36), Wind monitor device(33), Power supply unit(35) and XBee Module(34). The Temperature sensor(36), the flame sensor(38) and smoke sensor(37) will gather their respective information and transmit them to Master unit via XBee Module (34). All the hardware will be powered by the Power supply unit (35). The Wind monitor device (33) will be used to monitor wind speed and direction as well as generates energy using wind power. This energy will be stored in the Power supply unit (35).
ADVANTAGES OF THE INVENTION:
1. The proposed design will be more accurate to alert for forest fire hazard and similar conditions.
2. Real time monitoring will be done.
3. The design will predict the location of possible fire hazard areas.
, Claims:We Claim:
1. A Forest Fire Monitoring And Alert System comprises Control unit (10), AI Module (11), XBee (12), Power supply unit (13), Solar panel (14), LoRa Module (15), LoRa Module (21)Control Unit (32), Wind Monitor (33), XBee (34), Power Supply (35), Temperature Sensor (36), Smoke Sensor (37), and Flame Sensor (38).
2. The system as claimed in claim 1, wherein the Control unit (10) receives data from multiple Slave units via XBee module (12).
3. The system as claimed in claim 1, wherein the Solar panel (14) acts as the energy source and the energy will be stored in the Power supply unit (13).
4. The system as claimed in claim 1, wherein the data is transmitted to the nearest base of Forest Department via the LoRaModule (15) in real-time.
5. The system as claimed in claim 1, wherein the Temperature sensor (36), the flame sensor(38) and smoke sensor(37) gather their respective information and transmit them to Master unit via XBee Module (34).
6. The system as claimed in claim 1, wherein all the hardware is powered by the Power supply unit (35).
7. The system as claimed in claim 1, wherein the Wind monitor device (33) is used to monitor wind speed and direction as well as generates energy using wind power; and this energy is stored in the Power supply unit(35).
8. The system as claimed in claim 1, wherein the present system works on the Master-slave protocol.
9. The system as claimed in claim 1, wherein an alert is automatically triggered whenever forest fire or possible conditions is sensed.
10. The system as claimed in claim 1, wherein with the help of AI, prediction is done that in which direction the fire will spread more, so that appropriate actions istaken.
| # | Name | Date |
|---|---|---|
| 1 | 202311071861-STATEMENT OF UNDERTAKING (FORM 3) [20-10-2023(online)].pdf | 2023-10-20 |
| 2 | 202311071861-REQUEST FOR EARLY PUBLICATION(FORM-9) [20-10-2023(online)].pdf | 2023-10-20 |
| 3 | 202311071861-POWER OF AUTHORITY [20-10-2023(online)].pdf | 2023-10-20 |
| 4 | 202311071861-FORM-9 [20-10-2023(online)].pdf | 2023-10-20 |
| 5 | 202311071861-FORM FOR SMALL ENTITY(FORM-28) [20-10-2023(online)].pdf | 2023-10-20 |
| 6 | 202311071861-FORM 1 [20-10-2023(online)].pdf | 2023-10-20 |
| 7 | 202311071861-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [20-10-2023(online)].pdf | 2023-10-20 |
| 8 | 202311071861-EDUCATIONAL INSTITUTION(S) [20-10-2023(online)].pdf | 2023-10-20 |
| 9 | 202311071861-DRAWINGS [20-10-2023(online)].pdf | 2023-10-20 |
| 10 | 202311071861-DECLARATION OF INVENTORSHIP (FORM 5) [20-10-2023(online)].pdf | 2023-10-20 |
| 11 | 202311071861-COMPLETE SPECIFICATION [20-10-2023(online)].pdf | 2023-10-20 |
| 12 | 202311071861-FORM 18 [20-06-2025(online)].pdf | 2025-06-20 |