Description:FIELD OF THE INVENTION
This invention relates to Community based Advance IoT and Cloud equipped environmental monitoring Motes system to empower citizens.
BACKGROUND OF THE INVENTION
This creative solution is a ground-breaking community-based environmental monitoring platform that gives people the ability to gather, share, and evaluate data on important environmental indicators in real time. Communities can monitor environmental parameters by utilizing a network of sophisticated sensors and state-of-the-art technology. This data is seamlessly transferred to a central cloud server, where it is stored, processed, and visualized using user-friendly mobile applications and web dashboards. This breakthrough represents a new paradigm in environmental monitoring by encouraging openness, cooperation, and community involvement, enabling people and groups to take action for a healthier and more environmentally friendly future.
PROBLEM ADDRESSED BY THE INVENTION
The absence of easily accessible and all-inclusive environmental monitoring systems at the community level is the issue that this device attempts to solve. Conventional environmental monitoring systems frequently have high costs, are centralized, and are not publicly accessible, which leads to a lack of data coverage and understanding of the environmental conditions in the area. Informed decision-making, the promotion of sustainable development, and proactive community responses to environmental issues are all hampered by the lack of real-time data. US10540878B2 A method for disseminating emergency notification content from an emergency originating source. The method comprising: delivering the emergency notification content from the emergency originating source to at least one transmitting party; selecting a subset of users from among a set of users for dissemination of the emergency notification content based on the subject matter of the emergency notification content; and delivering the emergency notification content from the at least one transmitting party to a device corresponding to each user from the selected subset of users.
RESEARCH GAP: A IoT equipped environmental Solution for Community with GPRS, Wifi connectivity is the novelty of the system.
US20230307123A1 A method of monitoring a subject includes detecting subject head motion via a microelectromechanical systems (MEMS) sensor associated with a device worn by the subject, such as a device worn on a region of the head or a headset attached to an ear. The head motion information from the MEMS sensor is processed to determine subject head displacement relative to an origin and/or to identify footstep information, and the processed head motion information is transmitted to a remote device. Processing the head motion information from the MEMS sensor may be performed via at least one processor associated with the device worn by the subject and/or via a second device in telemetric communication with the MEMS sensor. The method may include processing head motion information from the MEMS sensor to determine if the subject has fallen down and/or is not moving.
RESEARCH GAP: A IoT equipped environmental Solution for Community with GPRS, Wifi connectivity is the novelty of the system.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. This invention relates to Community based Advance IoT and Cloud equipped environmental monitoring Motes system to empower citizens
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.
This invention comprises a system for real-time environmental monitoring using a network of motes equipped with integrated sensors to gather and transmit data. Each Data Collector Mote is designed to monitor environmental parameters such as humidity, temperature, UV radiation, noise levels, and soil moisture. These motes are equipped with various sensors, including PM, CO, UV, and soil moisture sensors, along with a GPS module, an ESP266 WiFi module, a GPRS module, and a solar-powered supply. The STM32 Board acts as the central processing unit, coordinating the acquisition, processing, and transmission of environmental data to a central cloud server for real-time aggregation, storage, and analysis.
To facilitate seamless data transmission, the Data Collector Mote utilizes an ESP266 WiFi Module for wireless connectivity, ensuring smooth data transfer to the cloud server. In areas with poor or no WiFi coverage, the GPRS Module allows for uninterrupted data transmission, maintaining continuous environmental monitoring. The system is powered by an externally plugged-in solar-powered supply, ensuring sustainable operation over extended periods. This continuous monitoring capability enables accurate and timely environmental data collection and analysis.
A crucial aspect of this innovation is its ability to engage communities in environmental monitoring. The system encourages residents to participate by contributing local environmental data and interacting with the insights provided through mobile applications and web dashboards. This collaborative approach fosters a sense of responsibility, enabling proactive measures to address environmental challenges. Additionally, the system supports transparent communication by providing key stakeholders, such as local government agencies and environmental organizations, with access to shared data. This enhances evidence-based decision-making, supports sustainable development initiatives, and strengthens collaborative efforts to mitigate environmental issues.
The Data Collector Mote serves as the fundamental hardware component, integrating its sensors to enable real-time environmental condition monitoring and seamless data transmission to the central cloud server. The STM32 Board ensures efficient coordination of data collection, processing, and transmission, facilitating real-time analysis. Wireless communication is enabled by the ESP266 WiFi Module, which allows for continuous data transfer. In regions with unreliable WiFi, the GPRS Module ensures uninterrupted data flow, maintaining effective environmental monitoring. The innovation’s reliance on solar power guarantees a sustainable and uninterrupted power supply, supporting long-term environmental data collection.
This system provides significant advantages by offering scalable and real-time environmental monitoring, ensuring continuous data acquisition and facilitating community engagement in environmental initiatives. The integration of AI-powered data processing enhances analytical capabilities, promoting proactive environmental management and fostering transparency. The ability to operate in diverse environmental conditions, along with reliable wireless connectivity and sustainable power solutions, makes this innovation a robust and efficient solution for modern environmental monitoring challenges.
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.
Present invention works by strategically placing a network of motes with sensors throughout a neighborhood. Every particle functions as a data gatherer, constantly keeping an eye on a range of environmental factors like humidity, temperature, UV radiation, noise levels, and soil wetness. These motes are outfitted with a wide range of sensors, such as those for UV, CO, and particulate matter (PM), in addition to GPS and GPRS technology for data transfer and location monitoring. These motes gather data, which is wirelessly transferred to a central cloud server for real-time aggregation, storing, and analysis. The system processes the raw data using cutting-edge AI algorithms to produce actionable insights and visualizations that are subsequently made available to users via user-friendly mobile applications and web dashboards. This makes it simple for local residents to obtain and understand environmental data that is pertinent to their area.
One important component of this innovation's operation is community engagement. The platform encourages citizens to contribute data from their local environment, interact with the insights offered, and take an active part in the monitoring process. By fostering a sense of ownership and responsibility, this collaborative approach enables community members to take proactive efforts to address environmental challenges. Additionally, by giving key stakeholders—such as local government agencies, legislators, and environmental organizations—a forum to share environmental data, this innovation fosters open communication and data transparency. This makes it easier to advocate for sustainable development projects, make evidence-based decisions, and work together to address environmental issues.
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.
Present invention works by strategically placing a network of motes with sensors throughout a neighborhood. Every particle function as a data gatherer, constantly keeping an eye on a range of environmental factors like humidity, temperature, UV radiation, noise levels, and soil wetness. These motes are outfitted with a wide range of sensors, such as those for UV, CO, and particulate matter (PM), in addition to GPS and GPRS technology for data transfer and location monitoring. These motes gather data, which is wirelessly transferred to a central cloud server for real-time aggregation, storing, and analysis. The system processes the raw data using cutting-edge AI algorithms to produce actionable insights and visualizations that are subsequently made available to users via user-friendly mobile applications and web dashboards. This makes it simple for local residents to obtain and understand environmental data that is pertinent to their area.
One important component of this innovation's operation is community engagement. The platform encourages citizens to contribute data from their local environment, interact with the insights offered, and take an active part in the monitoring process. By fostering a sense of ownership and responsibility, this collaborative approach enables community members to take proactive efforts to address environmental challenges. Additionally, by giving key stakeholders—such as local government agencies, legislators, and environmental organizations—a forum to share environmental data, this innovation fosters open communication and data transparency. This makes it easier to advocate for sustainable development projects, make evidence-based decisions, and work together to address environmental issues.
BEST METHOD OF WORKING
1. The Data Collector Mote is utilized to enable the real-time monitoring of various environmental parameters through its integrated sensors and to facilitate seamless data transmission to the central cloud server for analysis and visualization. It is equipped with an STM32 Board, a PM Sensor, a DHT11 Sensor, a CO Sensor, a UV Sensor, a Soil Moisture Sensor, a GPS Module, an ESP266 Wifi Module, a GPRS Module, and a Solar Powered Supply.
2. This invention allows for real-time monitoring and analysis by coordinating the acquisition, processing, and transmission of environmental data via the STM32 Board embedded into Data Collector Mote.
3. The Data Collector Mote is also equipped with an ESP266 WiFi Module, which is utilized to provide wireless connectivity within the device. This innovation facilitates the smooth transmission of environmental data to the central cloud server for real-time monitoring and analysis.
4. The Data Collector Mote's GPRS Module allows data transmission in places with spotty or nonexistent Wi-Fi coverage, guaranteeing continuous environmental data monitoring and transmission from the device to the central cloud server for real-time analysis thanks to this innovation.
5. The Data Collector Mote uses an externally plugged-in solar-powered supply to guarantee that there is always power to run its sensors and communication modules. This innovation allows for continuous environmental monitoring and data transmission over long periods of time.
ADVANTAGES OF THE INVENTION
1. The Data Collector Mote is the key piece of hardware in this innovation. With its inbuilt sensors, it can monitor various environmental conditions in real time, and it can transmit data to the central cloud server for analysis and visualization with ease.
2. Through this innovation, the STM32 Board serves as the central processing unit of the Data Collector Mote, coordinating the gathering, processing, and transfer of environmental data to enable real-time monitoring and analysis.
3. The Data Collector Mote may transmit environmental data to the central cloud server for real-time monitoring and analysis thanks to the ESP266 Wifi Module, which provides wireless communication inside the device.
4. With this innovation, the GPRS Module makes data transmission possible in places where Wi-Fi coverage is spotty or nonexistent, guaranteeing continuous environmental data monitoring and transmission from the Data Collector Mote to the central cloud server for real-time analysis.
, Claims:1. A system for real-time environmental monitoring, comprising:
A network of Data Collector Motes strategically placed to monitor environmental parameters including humidity, temperature, UV radiation, noise levels, and soil moisture;
Integrated sensors within each Data Collector Mote, including PM sensors, DHT11 sensors, CO sensors, UV sensors, and soil moisture sensors;
GPS and GPRS modules for location tracking and wireless data transmission;
An STM32 Board for coordinating data acquisition, processing, and transmission;
An ESP266 WiFi Module to provide seamless wireless connectivity for real-time data transfer to a central cloud server;
A solar-powered supply to ensure continuous operation of the motes and data transmission over extended periods.
2. The system as claimed in claim 1, wherein the Data Collector Mote continuously gathers environmental data and transmits it wirelessly to a central cloud server for aggregation, storage, and real-time analysis.
3. The system as claimed in claim 1, wherein AI algorithms process raw environmental data to generate actionable insights and visualizations accessible via mobile applications and web dashboards.
4. The system as claimed in claim 1, wherein the GPRS module ensures uninterrupted data transmission in areas with limited or no Wi-Fi connectivity, maintaining consistent environmental monitoring.
5. The system as claimed in claim 1, further comprising a community engagement platform that allows residents to contribute environmental data, access real-time insights, and actively participate in monitoring efforts.
6. The system as claimed in claim 1, wherein the innovation facilitates open data sharing with local government agencies, policymakers, and environmental organizations to support evidence-based decision-making and sustainable development initiatives.
7. The system as claimed in claim 1, further comprising a cloud-based infrastructure that aggregates environmental data from multiple motes, enabling large-scale environmental analysis and trend prediction.
8. A method for real-time environmental monitoring using Data Collector Motes, comprising:
Deploying Data Collector Motes equipped with environmental sensors across a designated area;
Continuously gathering environmental data, including temperature, humidity, UV radiation, noise levels, and soil moisture;
Transmitting collected data via WiFi and GPRS modules to a central cloud server for real-time analysis;
Processing data using AI-driven algorithms to generate actionable insights and visualizations;
Providing real-time access to environmental data through user-friendly mobile applications and web dashboards;
Enabling community participation by allowing users to contribute, analyze, and engage with environmental data.
9. The system as claimed in claim 1, wherein real-time data insights are utilized to inform urban planning, environmental policies, and sustainability projects.
10. The system as claimed in claim 1, wherein a solar-powered supply ensures the Data Collector Motes remain operational for extended monitoring durations without reliance on external power sources.