Field of the Invention
This invention relates to measurement of carbon footprint based on AI and sensor-based system.
Background of the Invention
US9260666B2: Vital AELION, Daren DAUGAARD, Wilson Hago; A method is described for reducing the carbon footprint of any commercially important industrial conversion process. The output of this conversion process can be combustible fuels, chemicals, electricity or heat energy. In its broadest form, a carbon negative module outputs energy to a conversion energy and this energy replaces conventional fossil-fuel based energy. A sequesterable carbonaceous solid is produced by the carbon negative process which represents a net carbon withdrawal from the atmosphere.
US20200027096A1: Jason Ryan Cooner; Carbon credits can be generated by any process that conforms to ISO 14064-66 standards. Once generated, carbon credits can be stored in a distributed, Cloud-based ledger. The ledger entries can serve as a registry for carbon credits as well as the data source for an Internet-enabled trading system or financial exchange that allows the carbon credits to be sold and bought as part of the same system. The distributed ledger can provide records that combine the details of the carbon credits' origin, transaction history, and financial instructions associated with trading of the carbon credits via a distributed ledger system.
US8644961B2: David J. Wroblewski, Stephen Piche; A method and apparatus for estimating and/or controlling mercury emissions in a steam generating unit. A model of the steam generating unit is used to predict mercury emissions. In one embodiment of the invention, the model is a neural network (NN) model. An optimizer may be used in connection with the model to determine optimal setpoint values for manipulated variables associated with operation of the steam generating unit.
WO2011139240A1: Tomaž ŠTEBE, The disclosure relates to system and method for real-time geocoded contents preparation from a plurality of location base and supportive elements and data sets from authorized sources of SCADA, Web sites categories for on-line geoaware services information computing. Location elements are automatically acquired, geocoded, authenticated and self-initiated, push-event transmitted to geoaware services providers for views and alerts information computing for general user understanding or needs of specialized contracting partners. The system is composed of the geoagent, the geocontents processor and the geoservices processor and characterized by water quality category and specifications views and alerts information computing. Further, it is characterized by health and life safe impacts, by ecological, carbon footprints modeling and calculations, by commands and instructions, by tracing and documenting production step origins of food and other commodities and by other geo-services from a plurality of authorized SCADA systems and Web sites location elements categories.
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 technique used and referenced for developing a sensor-based reliable tourism ecosystem and defines how tourism management processes can be streamlined. Also, this innovative approach used to carbon footprint record management through smart system that provides easy accessibility of information.
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.
Artificial Intelligence is an undergoing technology for the next-generation human beings. It is exhibited as machine intelligence which can perform tasks that require the human brain. With the continuous development in intelligent agents, sensors provide a solution to many environmental problems, such as monitoring and measuring carbon emissions excreted by them. The sensors may have infrared range finders and various motors to study the environment.
AI technology has mainly three benefits in tourism domain. Firstly, the continuous monitoring using AI and sensors help in detecting the increase in carbon footprint due to tourism development. Secondly, frequent monitoring gives timely information to the tourism department so that precautions can be taken at initial stage. Lastly, the most important one is generating series of measurement data using AI and sensors during a particular time-interval. Thus, AI and sensor-based framework helps in reducing the carbon footprint and improving the environment.
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:
The present AI and Sensor based system mainly consisting the four parts. These are sensors, GPS/ WIFI, battery and cloud server. Smart sensors offer a clear overview of waste needs and fluctuations in demands for waste services in selected areas. This sensor will empower to get data on your collection routes, as well as provide you with real-time information about what is being thrown away. GPS device also pushes the location of the mapped sensory data into the cloud server. The sensors, GPS devices and all the electronic system attached will be attached to rechargeable batteries to avoid any kind of power failure. Cloud server uses these real time inputs and keeps on feeding the real time data to the Machine Learning algorithms. Figure 1 illustrate about the AI/ML based system for measuring carbon footprint. The sensors take inputs from the environment in the form of values and push it into the cloud server. The GPS device also pushes the location of the mapped sensory data into the cloud server. The Cloud server uses these real time inputs and keeps on feeding the real time data to the Machine Learning algorithms. These machine learning algorithms after performing their computation forecast this data into the web and mobile application. These applications contain user-friendly front end to project this data to the end user.
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.
The present AI and Sensor based system mainly consisting the four parts. These are sensors, GPS/ WIFI, battery and cloud server. This sensor will empower to get data on your collection routes, as well as provide you with real-time information about what is being thrown away. Smart sensors offer a clear overview of waste needs and fluctuations in demands for waste services in selected areas. AI and sensor-based framework helps in reducing the carbon footprint and improving the environment. With this invention, we have created a trustworthy sensor-based tourist ecosystem and demonstrated how procedures for tourism management may be optimized. On the basis of tourist demands, we adopted a data management and sharing system. Access to data may be secured by AI technology, privacy protections, security, accessibility, and better governance. This patent's key feature is its use of AI in various applications to provide an AI-based framework for quantifying carbon footprint. Three advantages of AI are particularly notable in the tourist sector. First off, ongoing monitoring using AI and sensors enables the detection of an increase in carbon footprint brought on by the growth of the tourism industry. Second, regular monitoring provides the tourist agency with timely information so that early actions may be made.
Best Method of working
Disclosed herein an AI and sensor-based system for measuring carbon footprint system comprises with Battery (1), Sensors (2), GPS/WiFI (3), Cloud Server (4), AI Machine Learning algorithm (5), Forecast Tendency (6), Projection (7), Mobile App (8), Web Portal (9) and sever (10); and the AI based framework for measuring carbon footprint and utilized the AI based application in distinguished areas; data management and sharing system based on tourism needs.
In another embodiment, which is consisting of an approach to carbon footprint record management through smart system that provide easy accessibility of information.
In another embodiment, which is consist of a theoretical sensor-based framework highlights the concepts and techniques used.

We Claims:

1. An AI and sensor-based system for measuring carbon footprint system comprises with Battery (1), Sensors (2), GPS/WiFI (3), Cloud Server (4), AI Machine Learning algorithm (5), Forecast Tendency (6), Projection (7), Mobile App (8), Web Portal (9) and sever (10); and the AI based framework for measuring carbon footprint and utilized the AI based application in distinguished areas; data management and sharing system based on tourism needs.
2. The system is claimed in claim 1, wherein which is consisting of an approach to carbon footprint record management through smart system that provide easy accessibility of information.
3. The system is claimed in claim 1, wherein which is consist of a theoretical sensor-based framework highlights the concepts and techniques used.
4. The system is claimed in claim 1, wherein which is consist of reference for developing a sensor-based reliable tourism ecosystem and defines how tourism management processes can be streamlined.