AI-DRIVEN URBAN RAIN MONITORING WITH IOT SENSORS, CLOUD ANALYTICS, AND LORA, ZIGBEE HYBRID COMMUNICATION NETWORKS

Abstract

A system of ai-driven urban rain monitoring with iot sensors, cloud analytics, and lora, zigbee hybrid communication networks comprises URMTCD Mote, which consists of an ATmega328 board, a ZigBee module, a rainfall sensor with a tripping sensor, a weather monitoring sensor, a buzzer, and a power supply, allows users to acquire real-time environmental data and send it wirelessly to the central unit for undisturbed monitoring of the urban setting’s weather conditions the URMTRCD Mote would be described as containing an STM32 board, a ZigBee module, a LoRa RF module, a GSM modem, an LED indicator and a power supply which functions as a central unit combining data coming from different field nodes and transmits it to the personal cloud server for more depth analysis on weather changes around in real time.

Specification

Description:FIELD OF THE INVENTION
This invention relates to ai-driven urban rain monitoring with iot sensors, cloud analytics, and lora, zigbee hybrid communication networks.
BACKGROUND OF THE INVENTION
An intelligent platform for Urban Rain and Wind Speed Measurement undoubtedly represents a new high as it comprises of IoT sensors, cloud and hybrid communication. It deployed sensor nodes in the regions of interest that detect and measure rain and wind and other meteorological parameters located in the regions of interest. These apply hybrid system communication with the central point, which helps to obtain measurement data reliable by coverage distances. Such centralized data measurement units collect and forward to the custom cloud server where advanced analytical operations, including data mining based reconstruction, remote monitoring, and active assistance embedding could be performed and provided. While a portable device provides dynamic data updating so the user could have an easy way to visualize the interactive graphical representation - web dashboards offer facilitation to the cloud system in a controlled manner so the appropriate audience could monitor the environmental issues. The technique also helps in maintaining effective data communication, control, and management of urban environmental problems.
This device allows consideration for the seasonal alterations and urban wind speeds as they play an important role in urban management and city planning. However, there exist substantial gaps in the real-time monitoring of such parameters in urban settings. This device serves to solve this problem. It presents a cost effective, scalable and integrated platform that ensures easy, quick and precise monitoring of weather parameters, advanced warning systems and information dissemination. This invention proved useful in improving emergency response operations as well as managing extreme weather events, ensuring judicious use of resources and improving climate adaptability of urban space. It serves to overcome all these challenges by utilizing an integrated IoT, AI and hybrid communication networks approach.
CN105139585B: The present invention relates to a kind of soil-slope dangerous situation intelligent early-warning forecasting procedure, comprise the following steps:1) site setup rainfall monitoring station, embedding monolith lysimeter and displacement meter;2) rainfall operating mode, soil permeability and the displacement data of side slope are gathered in real time and are transferred to Terminal Server Client;3) data formatization is handled;4) the weight size of the data influence Side Slope Safety Coefficients such as rainfall operating mode, soil permeability, slope-mass slide displacement is calculated;5) safety coefficient of side slope day part is determined;6) relation of rainfall operating mode, side slope soil infiltration coefficient and the deformation, displacement and safety coefficient of day part, prediction soil-slope destruction time of origin are calculated;7) critical slope langth and the unstability time of the side slope of Latent destruction are obtained, disaster time of origin is predicted;8) combining step 6) and 7) result, side slope dangerous situation carries out early warning forecast.Compared with prior art, the more reasonable quantification of the present invention, more meet the early-warning and predicting for practically carrying out soil-slope dangerous situation.
RESEARCH GAP: AI-driven urban rain and wind speed monitoring using IoT sensors with hybrid LoRa-ZigBee-GSM communication and real-time cloud analytics is the novelty of the system.
CN109164509B: The system comprises a runoff simulation and control host based on GIS, a weather forecast and runoff satellite monitoring server, a distributed small weather station, a facade rain condition monitor, a mobile rainfall radar, an infrared video monitor, an evaporation measuring instrument, a rainwater pipe network flow monitor, a water quality on-line monitor, an air quality monitor, a radar rain monitor, a infiltration area saturation monitor, an accumulation area water level monitor, a shallow groundwater level monitor, a surface runoff monitor, a buoy waterproof unmanned aerial vehicle with speed measurement, an optical fiber temperature sensing system, an optical fiber pressure sensing system, a communication module, an intelligent controller, a rainwater utilization facility water supply point, a high-level rainwater hydroelectric generation module, a submerged conveying pump, a pressurizing infiltration device and the like. According to the invention, scientific early warning and alarming are carried out on the rain and flood disaster according to various parameters, and countermeasures are adopted, so that the disaster risk of the rain and flood disaster in a building area or a building is reduced.
RESEARCH GAP: AI-driven urban rain and wind speed monitoring using IoT sensors with hybrid LoRa-ZigBee-GSM communication and real-time cloud analytics is the novelty of the 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.
The innovation consists of IoT sensors, hybrid communication technologies, and cloud big data analytics in a unified architecture. It starts with the placing of many sensor nodes in cities to measure important weather elements like rainfall and wind speed. These nodes feature sensors that capture certain climatic variables and transfer them via the wireless local area network to a base station employing general hybrid communication protocols. This type of communication architecture comprises many channels which provides communication of various ranges within an urban center. The Base station however serves a very important function which adds to the general performance statistics of this system by recieving data from the nodes and sending the information to a house server through a strong bandwidth. On being sent to the cloud, the data receives treatment that employs machine algorithms to find trends in the data and make forecasts of subsequent data on weather conditions. The AI based system, in turn, makes it possible to improve already processed data, suggesting how to act to avoid possible problems of flooding or strong winds.
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.
The innovation consists of IoT sensors, hybrid communication technologies, and cloud big data analytics in a unified architecture. It starts with the placing of many sensor nodes in cities to measure important weather elements like rainfall and wind speed. These nodes feature sensors that capture certain climatic variables and transfer them via the wireless local area network to a base station employing general hybrid communication protocols. This type of communication architecture comprises many channels which provides communication of various ranges within an urban center. The Base station however serves a very important function which adds to the general performance statistics of this system by recieving data from the nodes and sending the information to a house server through a strong bandwidth. On being sent to the cloud, the data receives treatment that employs machine algorithms to find trends in the data and make forecasts of subsequent data on weather conditions. The AI based system, in turn, makes it possible to improve already processed data, suggesting how to act to avoid possible problems of flooding or strong winds.
In order to promote real-time accessibility, a lightweight device with appropriate usability provides the accessible information on a monitored data touch screen. This device allows field personnel, as well as other authorized users, to easily see thermal condition and its progress. Also, the stakeholders can view information, check the analytics and get tips through a secured web dashboard that comes with the cloud platform. This dual access system enables both the physically present people and those who are away from the scene to observe and attend to the surroundings in an effective manner. The combination of the three advancements, namely; effective communication networks; visualization of weather conditions in real-time; and intelligence from the cloud environment, contribute towards provision of a robust urban weather monitoring system. It does not only supply the right data but also gives the ability to the users who are then capable of predicting, which then aids in making decisions to improve safety and resilience in urban areas.
BEST METHOD OF WORKING
The URMTCD Mote, which consists of an ATmega328 board, a ZigBee module, a rainfall sensor with a tripping sensor, a weather monitoring sensor, a buzzer, and a power supply, allows users to acquire real-time environmental data and send it wirelessly to the central unit for undisturbed monitoring of the urban setting's weather conditions.
The URMTRCD Mote would be described as containing an STM32 board, a ZigBee module, a LoRa RF module, a GSM modem, an LED indicator and a power supply which functions as a central unit combining data coming from different field nodes and transmits it to the personal cloud server for more depth analysis on weather changes around in real time.
This is also supported by the efficient use of the URMRGCD Mote which is embedded with a Raspberry Pi Processor board, LoRa RF Module, GSM Modem, capacitive touch screen display, LED indicator, and rechargeable battery to ensure that there is portability for quick access for real-time environmental data and insights thus, improving the operational flexibility and monitoring on site.
Zigbee module is used for communications to both the URMTCD Mote and the URMTRCD Mote. This module is deployed into the field nodes and the central unit for data routing via short distance two-way communications.Link communicaton and radio-capable route.
LoRa RF Module incorporated into URMTRCD Mote and URMRGCD Mote facilitates long range and low power design to allow efficient communication between bulky units and handsets over urban spaces.
The GSM Modem put in place in the URMTRCD Mote and URMRGCD Mote is meant to assist the transmission of the collected data to the cloud server and ensure data transmission for monitoring and analysis in real time.
The Capacitive Touch Screen Display mounted in the URMRGCD Mote enables the operators to view in real time weather data and make valid decisions based on features and data that are easily interpreted.
ADVANTAGES OF THE INVENTION
1. For the sufficient qualitative and continuous measurement of rain, wind speed, and other weather parameters, IoT-enabled sensors are used in the field nodes.
2. ZigBee and LoRa RF modules are provided for reliable data communication over short and long distances from sensor nodes to central units.
3. The STM32-based unit gathers all information from nodes and applies a GSM modem to transfer the data to the cloud, which allows the integration of the data storage with cloud based analytics.
4. The functional cloud server which incorporates machine learning and artificial intelligence algorithms enhances the understanding of the patterns, trends and relationships from the data collected to aid in decision making.
5. The portable handheld device controlled by a raspberry Pi and incorporating a capacitive touch screen helps the field operatives in observing and engaging the system through real time information.
6. 1The combined deployment of ZigBee, LoRa, and GSM communication systems makes it easier to extend the system to cover larger urban areas while retaining deployment versatility.
, Claims:1. A system of ai-driven urban rain monitoring with iot sensors, cloud analytics, and lora, zigbee hybrid communication networks comprises URMTCD Mote, which consists of an ATmega328 board, a ZigBee module, a rainfall sensor with a tripping sensor, a weather monitoring sensor, a buzzer, and a power supply, allows users to acquire real-time environmental data and send it wirelessly to the central unit for undisturbed monitoring of the urban setting's weather conditions.
2. The system as claimed in claim 1, wherein the URMTRCD Mote would be described as containing an STM32 board, a ZigBee module, a LoRa RF module, a GSM modem, an LED indicator and a power supply which functions as a central unit combining data coming from different field nodes and transmits it to the personal cloud server for more depth analysis on weather changes around in real time.
3. The system as claimed in claim 1, wherein this is also supported by the efficient use of the URMRGCD Mote which is embedded with a Raspberry Pi Processor board, LoRa RF Module, GSM Modem, capacitive touch screen display, LED indicator, and rechargeable battery to ensure that there is portability for quick access for real-time environmental data and insights thus, improving the operational flexibility and monitoring on site.
4. The system as claimed in claim 1, wherein Zigbee module is used for communications to both the URMTCD Mote and the URMTRCD Mote, this module is deployed into the field nodes and the central unit for data routing via short distance two-way communications, link communication and radio-capable route.
5. The system as claimed in claim 1, wherein LoRa RF Module incorporated into URMTRCD Mote and URMRGCD Mote facilitates long range and low power design to allow efficient communication between bulky units and handsets over urban spaces.
6. The system as claimed in claim 1, wherein the GSM Modem put in place in the URMTRCD Mote and URMRGCD Mote is meant to assist the transmission of the collected data to the cloud server and ensure data transmission for monitoring and analysis in real time.
7. The system as claimed in claim 1, wherein the Capacitive Touch Screen Display mounted in the URMRGCD Mote enables the operators to view in real time weather data and make valid decisions based on features and data that are easily interpreted.

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