Description:FIELD OF THE INVENTION
This invention relates to Smart Urban Air Quality Monitoring and Intervention System Powered by Lora and IoT based Advanced Sensor Network.
BACKGROUND OF THE INVENTION
This cutting-edge system deploys a network of interconnected monitoring devices strategically positioned throughout urban areas, revolutionizing the management of urban air quality. When pollution levels above predetermined thresholds, these devices continuously monitor air quality data and initiate interventions, such as turning on water sprinklers to reduce carbon emissions and dust. The system ensures complete coverage and real-time updates by effortlessly transferring data between monitoring nodes, routers, and gateways through the use of LoRa and IoT technologies. This solution not only improves environmental sustainability and public health, but it also forms the basis for the construction of smarter, healthier cities throughout the world.
The urgent issue of urban air pollution, which presents serious health hazards and environmental issues in densely populated places, is the problem statement that this innovation attempts to address. Conventional air quality monitoring techniques frequently lack real-time data and intervention capabilities, making them unable to effectively respond to increases in pollution. Moreover, the absence of integrated systems makes it difficult to gather and analyze full data, which makes it difficult to approach problems with air quality methodically. By providing a scalable, Internet of Things-based solution that integrates sophisticated sensor networks with intervention mechanisms, this innovation seeks to address these issues.
US11781979B1 In one illustrative configuration, an air quality monitoring system may enable wide-scale deployment of multiple air quality monitors with high-confidence and actionable data is provided. Further, the air quality monitoring system may enable identifying a target emission from a plurality of potential sources at a site based on simulating plume models. The simulation of plume models may take into consideration various simulation parameters including wind speed and direction. Further, methods of determining a plume flux of a plume of emissions at a site, and methods of transmitting data from an air quality monitor are disclosed.
RESEARCH GAP: Lora and IoT equipped innovation used to monitor and control automation with networked technology is the novelty of the system.
US11680935B2 Systems, methods, and non-transitory computer-readable media for continuously monitoring residential air quality and providing a trend based analysis regarding various air pollutants are presented herein. The system comprises an air quality monitor located in a residential house, wherein the air quality monitor is configured to measure the level of an air pollutant. The system also includes a server that is communicatively coupled to the air quality monitor, wherein the server is configured to generate a unique environmental fingerprint associated with the residential house.
RESEARCH GAP: Lora and IoT equipped innovation used to monitor and control automation with networked technology 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 Smart Urban Air Quality Monitoring and Intervention System Powered by Lora and IoT based Advanced Sensor Network.
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.
The present invention relates to a system for real-time monitoring and mitigation of urban air pollution through a network of interconnected Monitoring and Control Motes, Router Motes, and a central Gateway Mote. The Monitoring and Control Motes are equipped with air quality sensors that continuously measure pollution levels, including particulate matter, carbon emissions, temperature, and humidity. When pollution levels exceed predefined thresholds, the system activates intervention mechanisms such as water sprinklers to suppress dust or modifies traffic flow to reduce vehicle emissions. These Monitoring and Control Motes are strategically placed in high-pollution areas, including industrial zones and congested intersections, ensuring proactive pollution management.
To facilitate seamless data communication, the system integrates Router Motes that wirelessly transmit data between the Monitoring and Control Motes and a central Gateway Mote. The Router Motes are equipped with an STM32 Board, RA02 LoRa RF Module, GSM Module, LED Indicator, and Solar Power Supply, ensuring uninterrupted communication and continuous air quality monitoring. In case of network failures, the GSM Module serves as a fallback communication channel, allowing data transmission via GSM/GPRS networks. The Gateway Mote, serving as the central data aggregator, is equipped with an STM32 Board, RA02 LoRa RF Module, ESP8266 WiFi Module, GSM Module, LED Indicator, and Solar Power Supply. This Mote collects data from multiple Router Motes and transmits it to a cloud-based server for in-depth analysis.
The cloud-based server processes the gathered data using advanced machine learning algorithms to detect trends, anomalies, and pollution sources. The system provides stakeholders, such as city planners and environmental agencies, with actionable insights through a cloud-based dashboard, enabling informed decision-making for air quality management. The RA02 LoRa RF Module integrated into the Monitoring and Control Motes, Router Motes, and Gateway Mote facilitates long-range wireless communication, allowing real-time data transmission and coordination. Additionally, the Gateway Mote’s ESP8266 WiFi Module ensures efficient connectivity to local WiFi networks for enhanced data transfer to the cloud.
The PMS7003 Dust Sensor Module, incorporated within the Monitoring and Control Motes, allows precise detection of particulate matter levels, enabling real-time assessment of dust pollution and immediate intervention. Furthermore, the system's sustainable operation is ensured through a Solar Power Supply that powers all motes, eliminating dependency on external power sources. This integrated system provides a comprehensive and automated approach to monitoring urban air quality, enabling proactive pollution control and regulatory compliance while contributing to healthier and more sustainable urban environments.
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 cutting-edge system monitors and enhances air quality via a network of strategically positioned, networked nodes spread throughout urban regions. Every node is made up of a collection of sensors that can identify different air pollutants, like dust particles and carbon emissions, as well as environmental elements, like temperature and humidity. These sensors gather data on air quality parameters continually, giving real-time information about the levels of pollution in various city regions. The Monitoring and Control Motes, which are in charge of continuously monitoring air quality and carrying out actions as needed, are the central component of the system. These Motes are positioned in high-pollution regions, such industrial sites or busy crossroads. The Motes initiate intervention methods, including turning on water sprinklers to suppress dust emissions or modifying traffic flow to reduce vehicle emissions, when their sensors detect pollution levels beyond predetermined thresholds.
LoRa RF technology is used to wirelessly transfer the data gathered by the Monitoring and Control Motes to Router Motes dispersed around the city. By acting as middlemen, these Router Motes transmit the data to a central Gateway Mote. In order to guarantee continuous data transmission to the Gateway Mote in the event of LoRa network connectivity problems, the Router Motes additionally feature GSM modules. As a data aggregator, the Gateway Mote gathers data from many Router Motes located across the city. This combined data is subsequently sent to a cloud-based server for additional analysis. Here, trends, patterns, and possible pollution sources can be found using sophisticated data analytics methods, such as machine learning algorithms. The study yields insights that can guide policy-making, targeted interventions, and urban design decisions aimed at enhancing public health and air quality. Through the integration of cutting-edge sensor technology, Internet of Things connection, and data analytics, this ground-breaking system provides a proactive approach to managing urban air quality, ultimately leading to healthier and more sustainable communities.
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.
This cutting-edge system monitors and enhances air quality via a network of strategically positioned, networked nodes spread throughout urban regions. Every node is made up of a collection of sensors that can identify different air pollutants, like dust particles and carbon emissions, as well as environmental elements, like temperature and humidity. These sensors gather data on air quality parameters continually, giving real-time information about the levels of pollution in various city regions. The Monitoring and Control Motes, which are in charge of continuously monitoring air quality and carrying out actions as needed, are the central component of the system. These Motes are positioned in high-pollution regions, such industrial sites or busy crossroads. The Motes initiate intervention methods, including turning on water sprinklers to suppress dust emissions or modifying traffic flow to reduce vehicle emissions, when their sensors detect pollution levels beyond predetermined thresholds.
LoRa RF technology is used to wirelessly transfer the data gathered by the Monitoring and Control Motes to Router Motes dispersed around the city. By acting as middlemen, these Router Motes transmit the data to a central Gateway Mote. In order to guarantee continuous data transmission to the Gateway Mote in the event of LoRa network connectivity problems, the Router Motes additionally feature GSM modules. As a data aggregator, the Gateway Mote gathers data from many Router Motes located across the city. This combined data is subsequently sent to a cloud-based server for additional analysis. Here, trends, patterns, and possible pollution sources can be found using sophisticated data analytics methods, such as machine learning algorithms. The study yields insights that can guide policy-making, targeted interventions, and urban design decisions aimed at enhancing public health and air quality. Through the integration of cutting-edge sensor technology, Internet of Things connection, and data analytics, this ground-breaking system provides a proactive approach to managing urban air quality, ultimately leading to healthier and more sustainable communities.
BEST METHOD OF WORKING
1. The STM32 Board, RA02 Lora RF Module, PMS7003 Dust Sensor Module, DHT22 Sensor, Water Pump, Actuator Module, LED Indicator, and Solar Power Supply are all actively attached to the Monitoring and Control Mote. used to help mitigate urban air pollution in real time by monitoring air quality measurements and putting interventions into place, including turning on water sprinklers or modifying traffic flow, in reaction to pollution levels observed to be higher than predetermined thresholds.
2. That is, the Router Mote. The STM32 Board, RA02 Lora RF Module, GSM Module, LED Indicator, and Solar Power Supply equipped versions are utilized to enable smooth data transfer between the central Gateway Mote and the Monitoring and Control Motes. This guarantees instantaneous updates on air quality parameters throughout the city, facilitating ongoing monitoring and intervention.
3. To aggregate data from multiple Router Motes and send it to a cloud-based server for thorough analysis, the Gateway Mote, which is outfitted with an STM32 Board, a RA02 Lora RF Module, an ESP8266 WiFi Module, a GSM Module, an LED indicator, and a solar power supply, is utilized. This allows for valuable insights into trends in urban air quality and informs strategic decision-making for enhancing public health and environmental sustainability.
4. That would be the RA02 LoRa RF Module. is a feature that is built into every mote and serves to enable long-range wireless communication between the gateway, router, and monitoring and control motes. This allows real-time data transmission and coordination within the urban air quality monitoring system.
5. The Gateway Mote's ESP8266 WiFi Module allows it to connect wirelessly to nearby WiFi networks, which makes it easier to transfer data to the cloud server for in-depth analysis and more study on trends in urban air quality.
6. Accurately detecting particulate matter levels in the air is made possible by the PMS7003 Dust Sensor Module, which is integrated into the Monitoring and Control Motes. This allows the Monitoring and Control Motes to monitor and react to dust pollution in real-time, improving the management of air quality in urban areas.
7. The GSM Module, which is connected to the Router Mote and Gateway Mote, acts as a fallback communication channel for the Router Motes, allowing data transmission to the cloud server via GSM/GPRS networks in the event that LoRa connectivity problems arise. This guarantees that air quality data is continuously monitored, even in the face of difficult network circumstances.
8. The Gateway Mote's inbuilt ESP8266 WiFi Module is. This allows the Gateway Mote to connect wirelessly to nearby WiFi networks, which makes it easier to transfer data to the cloud server for in-depth examination and additional study of patterns in urban air quality.
ADVANTAGES OF THE INVENTION
1. In order to mitigate urban air pollution in real-time, the Monitoring and Control Mote is essential for actively monitoring air quality parameters and putting interventions into action, like turning on water sprinklers or modifying traffic flow, when pollution levels are detected to be higher than predetermined thresholds.
2. In order to ensure real-time updates on air quality metrics across the city and to enable continuous monitoring and intervention, the Router Mote enables smooth data transmission between the central Gateway Mote and the Monitoring and Control Motes.
3. The Gateway Mote gathers information from several Router Motes and transmits it to a cloud-based server for in-depth examination. This process offers insightful information about patterns in urban air quality and guides strategic choices that enhance environmental sustainability and public health.
4. Using the RA02 LoRa RF Module, the Monitoring and Control Motes, Router Motes, and Gateway Motes can communicate wirelessly across long distances, allowing for real-time data transmission and coordination within the urban air quality monitoring system.
5. The Gateway Mote can connect wirelessly to nearby WiFi networks thanks to the ESP8266 WiFi Module, which also makes it easier to send data to the cloud server for in-depth examination and additional study of urban air quality trends.
, Claims:1. A system for real-time monitoring and mitigation of urban air pollution, comprising:
A network of Monitoring and Control Motes equipped with air quality sensors to measure pollution levels, including particulate matter, carbon emissions, temperature, and humidity;
An intervention mechanism within the Monitoring and Control Motes that activates water sprinklers or modifies traffic flow when pollution levels exceed predefined thresholds;
Router Motes that facilitate wireless data transmission between the Monitoring and Control Motes and a central Gateway Mote, ensuring real-time updates on air quality parameters;
A Gateway Mote that aggregates data from multiple Router Motes and transmits it to a cloud-based server for advanced analysis and decision-making;
A cloud-based server that utilizes machine learning algorithms to analyze air quality trends, detect anomalies, and provide actionable insights for urban pollution management.
2. The system as claimed in claim 1, wherein the Monitoring and Control Motes are equipped with an STM32 Board, RA02 LoRa RF Module, PMS7003 Dust Sensor Module, DHT22 Sensor, Water Pump, Actuator Module, LED Indicator, and a Solar Power Supply to enable autonomous and sustainable operation.
3. The system as claimed in claim 1, wherein the Router Motes comprise an STM32 Board, RA02 LoRa RF Module, GSM Module, LED Indicator, and Solar Power Supply, ensuring seamless data transfer between the Monitoring and Control Motes and the Gateway Mote for continuous air quality monitoring.
4. The system as claimed in claim 1, wherein the Gateway Mote integrates an STM32 Board, RA02 LoRa RF Module, ESP8266 WiFi Module, GSM Module, LED Indicator, and Solar Power Supply to facilitate data aggregation and wireless transmission to a cloud server for in-depth analysis.
5. The system as claimed in claim 1, wherein the RA02 LoRa RF Module provides long-range wireless communication between the Monitoring and Control Motes, Router Motes, and the Gateway Mote, enabling real-time data coordination within the urban air quality monitoring network.
6. The system as claimed in claim 1, wherein the Gateway Mote’s ESP8266 WiFi Module allows for seamless connection to nearby WiFi networks, enhancing data transfer efficiency to the cloud server for further analysis of urban air quality trends.
7. The system as claimed in claim 1, wherein the PMS7003 Dust Sensor Module, integrated into the Monitoring and Control Motes, enables precise detection of particulate matter levels, facilitating real-time air quality assessment and automated mitigation strategies.
8. The system as claimed in claim 1, wherein the GSM Module, incorporated within the Router Mote and Gateway Mote, serves as a fallback communication channel, ensuring uninterrupted data transmission to the cloud server in the event of LoRa network connectivity issues.
9. A method for proactive urban air pollution management, comprising:
Deploying a network of Monitoring and Control Motes equipped with air quality sensors to collect real-time pollution data;
Utilizing Router Motes to wirelessly transmit collected air quality data to a central Gateway Mote;
Aggregating and analyzing air quality data using a cloud-based server with machine learning algorithms;
Identifying pollution patterns and triggering mitigation responses, such as activating water sprinklers or adjusting traffic flow, based on real-time air quality measurements;
Providing stakeholders with actionable insights via a cloud-based dashboard for informed decision-making regarding urban air quality management.
10. The system as claimed in claim 1, wherein the system autonomously monitors air quality and implements mitigation measures in high-pollution areas such as industrial zones and congested intersections, reducing environmental impact and improving public health.