Description:Title of The Invention
VIBRATIONAL METEOROLOGY PREDICTION SYSTEM USING AI
Field of the Invention
This invention relates to vibrational meteorology prediction using AI
Background of the Invention
US20170206769A1: The present disclosure relates to approaches for detecting and monitoring for earthquakes using a control unit of a security system. A security system may include a plurality of sensors that detect alarm conditions and send alarm condition messages to a control unit for the security system. The control unit may be communicatively coupled to the sensors and configured to receive the alarm condition messages from the sensors. The security system may also include an earthquake sensor that senses earthquake conditions and sends an earthquake condition message to the control unit if it detects the earthquake condition. The control unit may include an alarm module. The control unit causes the alarm module to generate an alarm in response to receiving the earthquake condition message from the earthquake sensor.
US7016784B2: A method of generating short-, medium-range and seasonal-timescale weather or climate forecasts by running an ensemble of computer models on a distributed computing system or network. Individual model integrations are interrogated to select those that most closely resemble observed conditions in the present and recent past and the forecast based on a weighted average of future predictions based on this subset of the ensemble. The selection criteria determining which models are deemed to fit the observations most closely may be adjusted to optimize the use of observations in forecasting specific climate variables or geographic regions in order to develop forecasts tailored to particular applications.
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 LoRa module for the forecasting of weather and endogenic forces. It works on GPS module. It provides information to every individual of that particular area.
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.
This invention is consists of a computing unit (16) and LoRa module (10) which is connected to n number of nodes where each node represent a system. All the nodes will be sending information to LoRa module and the LoRa module will be sending the information to the computing unit and the Wi-Fi(11).Through Wi-Fi the received information will be uploaded to the cloud server(12) which will send the information to control room(13) and mobile app(14). Battery will be powering the controlling unit, LoRa module and the Wi-Fi. A computing unit (10) which acts as a main processing unit for the entire system and where all the sensors [weather monitoring sensor (11), wave range sensor (16)] and other devices are connected. Weather monitoring sensors will be monitoring the weather in real-time and wave range sensor will be monitoring all movements from inside of the ground and GPS module will be capturing live location of the system, and weather monitoring sensor, wave range sensor and GPS module will be sending all the data to the computing. Whenever controlling unit will receive any suspicious measurement from any sensor, it will automatically turn on the alarm to alert the nearby people. The controlling unit will be sending all the data to the LoRa module. Battery will be powering the controlling unit, wave range sensor, weather monitoring sensor, GPS module, alarm and LoRa module.
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 consists of a computing unit (16) and LoRa module (10) which is connected to n number of nodes where each node represent a system. All the nodes will be sending information to LoRa module and the LoRa module will be sending the information to the computing unit and the Wi-Fi(11).Through Wi-Fi the received information will be uploaded to the cloud server(12) which will send the information to control room(13) and mobile app(14). Battery will be powering the controlling unit, LoRa module and the Wi-Fi. Fig. 2 consists of a computing unit (10) which acts as a main processing unit for the entire system and where all the sensors [weather monitoring sensor (11), wave range sensor (16)] and other devices are connected. Weather monitoring sensors will be monitoring the weather in real-time and wave range sensor will be monitoring all movements from inside of the ground and GPS module will be capturing live location of the system, and weather monitoring sensor, wave range sensor and GPS module will be sending all the data to the computing. Whenever controlling unit will receive any suspicious measurement from any sensor, it will automatically turn on the alarm to alert the nearby people. The controlling unit will be sending all the data to the LoRa module. Battery will be powering the controlling unit, wave range sensor, weather monitoring sensor, GPS module, alarm and LoRa module.
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.
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.
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.
This invention is consists of a computing unit (16) and LoRa module (10) which is connected to n number of nodes where each node represent a system. All the nodes will be sending information to LoRa module and the LoRa module will be sending the information to the computing unit and the Wi-Fi(11).Through Wi-Fi the received information will be uploaded to the cloud server(12) which will send the information to control room(13) and mobile app(14). Battery will be powering the controlling unit, LoRa module and the Wi-Fi. A computing unit (10) which acts as a main processing unit for the entire system and where all the sensors [weather monitoring sensor (11), wave range sensor (16)] and other devices are connected. Weather monitoring sensors will be monitoring the weather in real-time and wave range sensor will be monitoring all movements from inside of the ground and GPS module will be capturing live location of the system, and weather monitoring sensor, wave range sensor and GPS module will be sending all the data to the computing. Whenever controlling unit will receive any suspicious measurement from any sensor, it will automatically turn on the alarm to alert the nearby people. The controlling unit will be sending all the data to the LoRa module. Battery will be powering the controlling unit, wave range sensor, weather monitoring sensor, GPS module, alarm and LoRa module. Weather forecasting is the application of science and technology to predict the state of the atmosphere for the given location. Conventionally, the weather forecasting method usually relies on observed patterns of events. The earthquake phenomena mostly involves numerous problems which cannot be solved exactly due to the lack of instruments for recording earthquake, landslides and any other movements.
ADVANTAGES OF THE INVENTION:
• It will finely predict the weather and analyses the quality of the atmosphere.
• This technique is easy to install and operate.
• It is eco-friendly.
• Automatic sensors will completely eliminate the risk of human error.
• It provides information to every individual of that particular area.
, Claims:We Claim:
1. A Vibrational meteorology prediction system using AI comprises with computing unit (16) and LoRa module (10) which is connected to n number of nodes where each node represent a system, the Wi-Fi(11), Wi-Fi the received information will be uploaded to the cloud server(12) which will send the information to control room (13) and mobile app (14). Battery will be powering the controlling unit, LoRa module; and the Wi-Fi.

2. The system is claimed in claim 1, wherein which is computing unit (10) which acts as a main processing unit for the entire system and where all the sensors [weather monitoring sensor (11), wave range sensor (16)] and other devices are connected.

3. The system is claimed in claim 1, wherein which is weather monitoring sensors are monitoring the weather in real-time and wave range sensor are monitoring all movements from inside of the ground and GPS module will be capturing live location of the system, and weather monitoring sensor, wave range sensor and GPS module sends all the data to the computing.