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EARLY FLOOD DETECTION AND ALERT SYSTEM

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EARLY FLOOD DETECTION AND ALERT SYSTEM

ORDINARY APPLICATION

Published

date

Filed on 19 November 2024

Abstract

Disclosed herein is a system (100) for early detection of floods and alert generation comprising a plurality of sensor (102) integrated into the system (100) and configured to monitor environment parameters, comprising a distance measurement sensor (118) to measure the distance to a water surface, a temperature sensor (120) to measure ambient temperature, a humidity sensor (122) to measure atmospheric humidity, a water level sensor (124) to measure reservoir water level and a water flow sensor (126) to detect changes in flow stability, a microcontroller (108) connected to the plurality of sensor (102) and configured to process flood-related parameters, further comprising a data input module (128), a data processing module (130) to detect flood risk, an alert activation module (132) to activate a buzzer (110) in response to flood risk, a data transmission module (134) to enable remote monitoring, and a user device (116).

Patent Information

Application ID202441089392
Invention FieldPHYSICS
Date of Application19/11/2024
Publication Number48/2024

Inventors

NameAddressCountryNationality
DR. KAVITHA SDEPARTMENT OF ELECTRONICS AND COMMUNICATION, NMAM INSTITUTE OF TECHNOLOGY, NITTE (DEEMED TO BE UNIVERSITY), NITTE - 574110, KARNATAKA, INDIAIndiaIndia
DR. ASIA HAZAREENADEPARTMENT OF ELECTRONICS AND COMMUNICATION, P.A COLLEGE OF ENGINEERING, MANGALOREIndiaIndia
DR. ASHISH SINGHDEPARTMENT OF ELECTRONICS AND COMMUNICATION, NMAM INSTITUTE OF TECHNOLOGY, NITTE (DEEMED TO BE UNIVERSITY), NITTE - 574110, KARNATAKA, INDIAIndiaIndia

Applicants

NameAddressCountryNationality
NITTE (DEEMED TO BE UNIVERSITY)6TH FLOOR, UNIVERSITY ENCLAVE, MEDICAL SCIENCES COMPLEX, DERALAKATTE, MANGALURU, KARNATAKA 575018IndiaIndia

Specification

Description:FIELD OF DISCLOSURE
[0001] The present disclosure generally relates to environmental monitoring system, more specifically, relates to an early flood detection and alert system based on a network of sensors and IoT technology to monitor and alert for potential flood conditions.
BACKGROUND OF THE DISCLOSURE
[0002] Environmental monitoring systems play a crucial role in observing, analyzing, and managing various natural phenomena to protect ecosystems, human life, and infrastructure. By continuously collecting real-time data, environmental monitoring systems enable timely analysis and rapid response to potential hazards, helping to mitigate the effects of adverse environmental conditions.
[0003] Among the various applications of environmental monitoring, flood detection and management are of paramount importance due to the catastrophic impacts floods can have on communities. Floods are often triggered by excessive rainfall, river overflows, or dam failures, causing widespread destruction, displacing populations, and disrupting essential services.
[0004] Traditional flood detection systems face several significant limitations that affect their effectiveness in providing timely alerts and mitigating flood-related damages. One major drawback is the limited real-time monitoring capability of these systems. Many traditional systems rely on periodic manual observations or outdated infrastructure, which does not support continuous, real-time monitoring of flood-related parameters. This restricts the responsiveness of these systems, often resulting in delayed alerts to authorities and communities when flood risks arise, thereby reducing the time available to take preventative action.
[0005] Additionally, existing automated flood detection systems tend to be costly, requiring substantial infrastructure investments, such as dedicated servers, extensive wiring, and high-maintenance sensors. The high implementation and maintenance costs make it challenging to deploy these systems widely, especially in remote or rural areas where flood risks may still be significant. Moreover, many traditional systems are limited by a single-parameter dependency, often monitoring only one factor, such as water level, without integrating additional relevant data like flow rate, temperature, or humidity. This reliance on a single parameter reduces the accuracy of flood predictions, potentially leading to false alarms or missed detections.
[0006] A further limitation of traditional systems is the lack of remote accessibility. Many conventional systems cannot be monitored or controlled from a distance, restricting users' ability to access real-time data and respond to flood risks remotely. This limitation is particularly problematic for disaster management teams who need centralized monitoring capabilities. Another critical issue is the absence of data logging and predictive analysis in traditional flood detection systems. Without data logging and machine learning algorithms, the conventional systems cannot analyze historical trends to predict future flood events, which severely limits their potential as early warning tools.
[0007] Furthermore, prior flood detection systems are often inflexible in deployment, making them difficult to install or adapt to different environments. This rigidity prevents customization for specific flood-prone areas, local topographies, or particular water body characteristics, reducing the overall applicability of such systems. Finally, the alert mechanisms in traditional systems are typically slow or inefficient, sometimes only providing notifications after critical thresholds have been breached. This delayed response can result in insufficient warning for at-risk communities, limiting their ability to take protective measures in time.
[0008] The present invention overcomes the limitations of the prior art by providing an early flood detection and alert system that utilizes a network of IoT-enabled sensors to deliver real-time monitoring and alert capabilities. This system integrates multiple types of sensors that measure key environmental parameters, allowing for a comprehensive assessment of flood risk. By processing this data, the system detects anomalies and activate alert mechanisms promptly, offering a more responsive and accurate warning system.
[0009] Additionally, the system enables remote access through cloud connectivity, allowing users and disaster management authorities to monitor real-time data from any location with internet access. This approach not only increases accessibility but also facilitates large-scale implementation, with the potential to establish a network of devices for regional or national flood monitoring. The modular design allows for easy scalability and customization, as additional sensors can be integrated to tailor the system to specific environmental conditions or coverage needs. Furthermore, historical data stored in the cloud can support predictive analysis, enabling users to identify patterns and assess future flood risks, thus enhancing preparedness and proactive response measures.
[0010] The present invention is constructed from readily available, low-cost components, making it affordable to install, produce, and maintain. By providing a cost-effective and efficient solution for flood monitoring and early warning, the present invention significantly improves upon traditional methods, offering enhanced accuracy, accessibility, and scalability for better disaster response and management.
[0011] Thus, in light of the above-stated discussion, there exists a need for an early flood detection and alert system.
SUMMARY OF THE DISCLOSURE
[0012] The following is a summary description of illustrative embodiments of the invention. It is provided as a preface to assist those skilled in the art to more rapidly assimilate the detailed design discussion which ensues and is not intended in any way to limit the scope of the claims which are appended hereto in order to particularly point out the invention.
[0013] According to illustrative embodiments, the present disclosure focuses on an early flood detection and alert system which overcomes the above-mentioned disadvantages or provide the users with a useful or commercial choice.
[0014] The present invention solves the above major limitations of an early flood detection and alert system.
[0015] An objective of the present disclosure is to provide an early flood detection and alert system that continuously monitors critical environmental parameters to enable timely identification of flood risks and rapid alerting of relevant authorities and individuals to prevent damage.
[0016] Another objective of the present disclosure is to develop a cost-effective and scalable system that uses affordable, readily available components, making it feasible for broad deployment across various regions prone to flooding.
[0017] Another objective of the present disclosure is to provide a system with remote monitoring capabilities through IoT integration to allow for real-time access to sensor data from any location.
[0018] Another objective of the present disclosure is to provide a system that improves data accuracy by integrating multiple sensors to measure various environmental parameters, which enhances detection reliability and reduces false alarms.
[0019] Another objective of the present disclosure is to provide a system that assists in decision-making and evacuation planning by providing real-time data and alerts.
[0020] Yet another objective of the present disclosure is to provide a system that supports data logging by storing historical flood data in a cloud database, supporting future analysis to aid in flood preparedness and proactive response.
[0021] Yet another objective of the present disclosure is to provide a method for early flood detection and alert generation.
[0022] In light of the above, in one aspect of the present disclosure, a system for early detection of floods and alert generation is disclosed herein. The system comprises a plurality of sensor integrated into the system and configured to monitor various environmental and weather-related parameters, wherein the plurality of sensor further comprises a distance measurement sensor configured to measure the distance to a water surface and monitor changes in water level, a temperature sensor configured to measure the ambient temperature in the monitored environment, a humidity sensor configured to measure atmospheric humidity levels, a water level sensor configured to measure the water level within a water reservoir to provide data indicative of potential overflow, a water flow sensor configured to sense the rate of water flow within a water source to detect changes in flow stability. The system also includes a microcontroller connected to the plurality of sensor and configured to process flood-related parameters, wherein the microcontroller further comprises a data input module configured to receive data from the plurality of sensor, a data processing module configured to process data and detect anomalies indicative of flood risk based on predetermined thresholds, an alert activation module configured to activate a buzzer and update a display screen in response to detected flood risk to alert nearby individuals of potential flood conditions, a data transmission module configured to transmit the processed data and alert notifications for remote monitoring. The system also includes a user device connected to the microcontroller via a communication network and configured to receive and display the transmitted data and flood-risk alerts.
[0023] In one embodiment, the water flow sensor is connected to a rotor which rotates in response to water flow, and the rotational speed of the rotor is measured by a motor to determine the rate of flow of water.
[0024] In one embodiment, the buzzer is configured to emit an audible alarm in response to detected flood risk.
[0025] In one embodiment, the display screen is configured to display status messages, including indicators such as safe and alert, to provide immediate on-site risk assessment.
[0026] In one embodiment, the display screen is further configured to display the real-time data from the plurality of sensor directly on-site.
[0027] In one embodiment, the system further comprises a communication unit configured to transmit the processed data and flood-risk alerts from the microcontroller to the user device.
[0028] In one embodiment, the system further comprises a cloud database configured to store historical sensor data, enable remote access, and facilitate data logging for future analysis and flood preparedness.
[0029] In one embodiment, the system further comprises a power supply to provide necessary power to all the components of the system for continuous operation.
[0030] In light of the above, in another aspect of the present disclosure, a method for early detection of floods and alert generation is disclosed herein. The method comprises monitoring various environmental and weather-related parameters via a plurality of sensor. The method also includes processing flood-related parameters via a microcontroller comprising of several modules. The method also includes receiving data from the plurality of sensor via a data input module. The method also includes processing data and detecting anomalies indicative of flood risk based on predetermined thresholds via a data processing module. The method also includes activating a buzzer in response to detected flood risk to alert nearby individuals of potential flood conditions via an alert activation module. The method also includes transmitting the processed data and alert notifications for remote monitoring via a data transmission module. The method also includes receiving and displaying the transmitted data and flood-risk alerts via a user device.
[0031] These and other advantages will be apparent from the present application of the embodiments described herein.
[0032] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
[0033] These elements, together with the other aspects of the present disclosure and various features are pointed out with particularity in the claims annexed hereto and form a part of the present disclosure. For a better understanding of the present disclosure, its operating advantages, and the specified object attained by its uses, reference should be made to the accompanying drawings and descriptive matter in which there are illustrated exemplary embodiments of the present disclosure.
BRIEF DESCRIPTION OF THE DRAWINGS
[0034] To describe the technical solutions in the embodiments of the present disclosure or in the prior art more clearly, the following briefly describes the accompanying drawings required for describing the embodiments or the prior art. Apparently, the accompanying drawings in the following description merely show some embodiments of the present disclosure, and a person of ordinary skill in the art can derive other implementations from these accompanying drawings without creative efforts. All of the embodiments or the implementations shall fall within the protection scope of the present disclosure.
[0035] The advantages and features of the present disclosure will become better understood with reference to the following detailed description taken in conjunction with the accompanying drawing, in which:
[0036] FIG. 1 illustrates a block diagram of an early flood detection and alert system, in accordance with an exemplary embodiment of the present disclosure;
[0037] FIG. 2 illustrates a schematic of the early flood detection and alert system, in accordance with an exemplary embodiment of the present disclosure;
[0038] FIGS. 3A-3D illustrates a working model of the early flood detection and alert system, in accordance with an exemplary embodiment of the present disclosure; and
[0039] FIG. 4 illustrates a flowchart of a method, outlining the sequential steps for early detection of floods and alert generation, in accordance with an exemplary embodiment of the present disclosure.
[0040] Like reference, numerals refer to like parts throughout the description of several views of the drawing.
[0041] The early flood detection and alert system is illustrated in the accompanying drawings, which like reference letters indicate corresponding parts in the various figures. It should be noted that the accompanying figure is intended to present illustrations of exemplary embodiments of the present disclosure. This figure is not intended to limit the scope of the present disclosure. It should also be noted that the accompanying figure is not necessarily drawn to scale.
DETAILED DESCRIPTION OF THE DISCLOSURE
[0042] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to communicate the disclosure. However, the amount of detail offered 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 spirit and scope of the present disclosure.
[0043] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be apparent to one skilled in the art that embodiments of the present disclosure may be practiced without some of these specific details.
[0044] Various terms as used herein are shown below. To the extent a term is used, it should be given the broadest definition persons in the pertinent art have given that term as reflected in printed publications and issued patents at the time of filing.
[0045] The terms "a" and "an" herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items.
[0046] The terms "having", "comprising", "including", and variations thereof signify the presence of a component.
[0047] Referring now to FIG. 1 to FIG. 4 to describe various exemplary embodiments of the present disclosure. FIG. 1 illustrates a block diagram of an early flood detection and alert system 100, in accordance with an exemplary embodiment of the present disclosure.
[0048] The system 100 may include a plurality of sensor 102, a microcontroller 108, and a user device 116.
[0049] The plurality of sensor 102 are responsible for collecting environmental and weather-related data. Each sensor within the plurality of sensor 102 is configured to constantly monitor a specific parameter relevant to flood prediction and detection. The plurality of sensor 102 are integrated into the system 100 to measure factors such as water levels, temperature, humidity, and water flow, providing comprehensive data that helps assess flood risks accurately. The plurality of sensor () comprises several sensors, including a distance measurement sensor 118, a temperature sensor 120, a humidity sensor 122, a water level sensor 124, and a water flow sensor 126, each configured to monitor specific environmental parameters to effectively assess flood risk.
[0050] The distance measurement sensor 118 is configured to measure the distance to a water surface, allowing it to detect variations in water level. The distance measurement sensor 118 continuously monitors distance to identify any rapid increase that might signal a flood. Any significant change in water level can indicate rising water levels, which is critical for flood detection.
[0051] In one embodiment of the present invention, the distance measurement sensor 118 is the HC SR04 ultrasonic sensor. This sensor utilizes ultrasonic sound waves to measure the distance between the sensor and the water surface by emitting sound pulses and calculating the time it takes for the echo to return after reflecting off the water surface. The HC-SR04 sensor is highly effective for non-contact distance measurements, making it well-suited for monitoring water levels in flood-prone areas.
[0052] The temperature sensor 120 is configured to measure the ambient temperature within the monitored environment. Temperature data can impact water flow rates and humidity levels and helps identify abnormal weather conditions that may correlate with potential flooding.
[0053] The humidity sensor 122 is configured to measure atmospheric humidity levels within the monitored environment. The humidity sensor 122 provides real-time humidity data, which is crucial for assessing the likelihood of flood conditions, as high humidity often accompanies heavy rainfall. By tracking humidity trends, the system 100 can analyze changes in atmospheric moisture, which, when combined with other environmental factors like rising water levels and temperature fluctuations, helps identify conditions that increase flood risk.
[0054] In one embodiment of the present invention, the temperature sensor 120 and the humidity sensor 122 are of the DHT11 type, which is a compact, low cost digital sensor for sensing temperature and humidity.
[0055] The water level sensor 124 measures the water level within water reservoirs such as dams, rivers, lakes, or storage tanks. The water level sensor 124 provides crucial information indicative of potential overflow scenarios. It helps monitor reservoirs to detect conditions that might result in overflow, which could cause downstream flooding.
[0056] In one embodiment of the present invention, the water level sensor 124 is a float switch sensor which operates based on the principle of buoyancy, where a floating object rises and falls with the water level. As the water level reaches a certain point, the float triggers a mechanical switch that activates or deactivates the water level sensor 124, providing a reliable indication of the water level.
[0057] The water flow sensor 126 measures the rate of water flow within a water source or through a pipe to detect changes in water stability. A sudden or significant increase in flow rate could be an early indication of a flood condition due to heavy upstream rainfall or reservoir overflow. The water flow sensor 126 detects variations in flow velocity or volume, with the flow rate typically expressed in liters per hour or cubic meters.
[0058] In one embodiment of the present invention, the water flow sensor 126 is connected to a rotor 136 which rotates in response to water flow, and the rotational speed of the rotor 136 is measured by a motor 138 to determine the rate of flow of water. The motor 138 detects the angular velocity of the rotor 136, converting the mechanical motion into an electrical signal that is fed into the water flow sensor 126 to calculate the water flow rate.
[0059] The microcontroller 108 is configured to receive data from the plurality of sensor 102 and process the received data to determine flood risk. The microcontroller 108 comprises various modules, including a data input module 128, a data processing module 130, an alert activation module 132, and a data transmission module 134 dedicated to specific tasks that contribute to accurate flood detection.
[0060] In one embodiment of the present invention, the microcontroller 108 is an Arduino, a low-cost, open-source platform known for its ease of use, scalability, high compatibility, and flexibility, making it an ideal choice for system 100.
[0061] The data input module 128 is responsible for receiving raw data from the plurality of sensors 102. It serves as the initial point of data collection, transmitting the sensor outputs into the system 100 for further processing by the other modules of the microcontroller 108.
[0062] The data processing module 130 analyzes the input data to identify patterns or anomalies that could indicate a flood risk. It applies predetermined thresholds to the sensor data, enabling it to recognize unusual levels that might suggest potential flood conditions. For instance, if the water level or flow rate exceeds safe threshold limits, or if atmospheric conditions such as temperature and humidity levels are abnormal, the data processing module 130 interprets these signals as potential flood indicators.
[0063] The alert activation module 132 triggers a buzzer 110 and updates a display screen 112 to provide audible and visual warnings to nearby individuals of potential flood conditions when flood risk is detected by the data processing module 130. This immediate, on-site alerting mechanism is vital for ensuring prompt response to flood conditions.
[0064] In one embodiment of the present invention, the buzzer 110 is configured to emit an audible alarm in response to detected flood risk. The buzzer 110 is designed to capture attention immediately, using a high-pitched sound that can be heard over ambient noise.
[0065] In one embodiment of the present invention, the display screen 112 is configured to display status messages, including indicators such as safe and alert, to provide immediate on-site risk assessment. The display screen 112 is designed to be easily readable and offers a simple yet effective way for individuals to assess the current flood risk at a glance and take appropriate actions immediately. When the system 100 detects normal conditions, the screen displays a safe indicator, signalling that no immediate threat is present. In contrast, if the system 100 identifies potential flood conditions, the screen updates to an alert status, warning users of the heightened risk.
[0066] In one embodiment of the present invention, the display screen 112 is further configured to display the real-time data from the plurality of sensor 102 directly on-site. This enables users to monitor outputs from the plurality of sensor 102 in real time, with the display screen 112 updating continuously to reflect the latest readings.
[0067] In one embodiment of the present invention, the display screen is a 16x2 LCD, which provides clear and concise visual feedback to the user.
[0068] The data transmission module 134 is configured to transmit processed data and alert notifications for remote monitoring. It enables the system 100 to share real-time information with remote users or disaster management authorities, ensuring they remain informed about potential flood threats even when off-site. The system 100 is designed to send remote notifications, such as SMS alerts, to relevant authorities or users, enhancing preparedness and enabling immediate response.
[0069] In one embodiment of the present invention, the system 100 further comprises a communication unit 202 configured to transmit the processed data and flood-risk alerts from the microcontroller 108 to the user device 112.
[0070] In one embodiment of the present invention, the communication unit 202 is an ESP8266 type, which enables system 100 to communicate with various components via Wi-Fi for internet connectivity. This ESP8266 facilitates seamless data transmission, allowing the system 100 to send processed data and flood-risk alerts over a Wi-Fi network to the user device 116.
[0071] The user device 116 is a remote device connected to the microcontroller 108 via a communication network 104. It displays real-time values from the plurality of sensor 102 and flood risk alerts, allowing users or authorities to monitor environmental parameters and receive immediate alerts from any location. This connectivity ensures the system 100 remains accessible and useful, even for individuals who are not on-site, enhancing the overall safety and preparedness for flood events.
[0072] In one embodiment of the present invention, the system 100 further comprises a cloud database 106 configured to store historical sensor data, enable remote access, and facilitate data logging for future analysis and flood preparedness.
[0073] In another embodiment of the present invention, the system 100 leverages a machine learning algorithm to analyze historical flood-related data, specifically data accumulated over several years stored in the cloud database 106. This analysis identifies patterns and trends in environmental conditions, such as rainfall, water flow, and water levels, which are crucial for accurate flood forecasting. By utilizing advanced predictive models, the system 100 can predict the likelihood of flooding with greater accuracy and at an earlier stage. These predictions allow authorities, as well as local users, to take proactive measures, such as issuing warnings, preparing evacuation plans, or deploying resources ahead of a potential flood. The integration of machine learning ensures continuous improvement of the prediction models as more data is collected, increasing the system's reliability and responsiveness over time. This predictive feature significantly enhances flood preparedness, reducing the risks associated with floods and helping save lives and property.
[0074] In one embodiment of the present invention, the system 100 further comprises a power supply 114 to provide necessary power to all the components of the system 100 for continuous operation.
[0075] FIG. 2 illustrates a schematic 200 of the early flood detection and alert system 100, in accordance with an exemplary embodiment of the present disclosure.
[0076] The schematic 200 represents the functional flow of the system 100, integrating the plurality of sensor 102, the microcontroller 108, the power supply 114 and its elements, the display screen 112, and communication units to facilitate real-time flood detection and alerting.
[0077] The schematic 200 begins with input from the plurality of sensor 102, each dedicated to monitoring specific environmental parameters relevant to flood risk. The plurality of sensor 102 include the temperature sensor 120 for ambient temperature, the humidity sensor 122 for atmospheric humidity, the water flow sensor 126 to measure flow stability, the distance measurement sensor 118 for water levels, and the water level sensor 124 to monitor reservoir levels. Together, the plurality of sensor 102 form the primary input layer, collecting essential data to assess flood conditions.
[0078] The data from the plurality of sensor 102 is then sent to the microcontroller 108, which processes and analyses the input to detect any anomalies indicative of flood risk. Within the microcontroller 108, there are various specialized modules designed to handle different aspects of data processing and response. If a potential flood is detected, the microcontroller 108 triggers an alert.
[0079] One key component for immediate, on-site risk communication is the display screen 112, which is directly connected to the microcontroller 108. The display screen 112 serves to present real-time status updates and readings from the plurality of sensor 102 to users in the vicinity. In addition to local alerting, the system 100 includes the communication unit 202 which uses Wi-Fi for remote data transmission. This unit allows the microcontroller 108 to communicate with a cloud-based IoT platform, enabling remote monitoring. Through this connection, processed data, including real-time readings from the plurality of sensor 102 and alert notifications, is transmitted over the internet, making it accessible to remote users such as disaster management authorities and residents.
[0080] FIGS. 3A-3D illustrates a working model 300 of the early flood detection and alert system 100, in accordance with an exemplary embodiment of the present disclosure.
[0081] The working model 300 shows both the hardware, such as the plurality of sensor 102 and the microcontroller 108, and the software components, like the several modules integrated into the microcontroller 108 and the cloud-based data visualization, which work together to monitor, process, and communicate real-time flood risk information to users both on-site and remotely.
[0082] FIG. 3A shows the system 100 in a "Safe" state. The physical setup consists of the plurality of sensor 102 connected to the microcontroller 108. Data from the plurality of sensor 102 is processed by the microcontroller 108, which checks if any parameters exceed safe thresholds. When all values are within safe limits, the microcontroller 108 updates the display screen 112 on-site to display "Safe," providing a clear visual confirmation that conditions are stable.
[0083] FIG. 3B shows the ThingSpeak cloud dashboard on the user device 116, where data from the plurality of sensor 102 is remotely accessible. The dashboard displays real-time values for each of the plurality of sensor 102, showing normal readings that confirm safe conditions. This interface includes a green or neutral visual indicator, making it easy for remote users to quickly interpret the flood risk status. The ThingSpeak cloud dashboard ensures that users and disaster management authorities can monitor the flood conditions remotely and stay informed even when not on-site.
[0084] FIG. 3C shows the system 100 in an "Alert" state. This alert is triggered by the alert activation module 132 of the microcontroller 108 when sensor readings exceed pre-set safe thresholds. The display screen 112 on-site now displays "Alert!!!" as a clear warning, while a buzzer (not shown in the image) sounds to notify nearby individuals. This combination of visual and audible alerts ensures that people in the immediate area are promptly informed of the potential flood risk, enabling them to take quick action.
[0085] FIG. 3D provides a view of the ThingSpeak dashboard on the user device 116 in the "Alert" state. The interface of the user device 116 reflects the updated sensor readings that triggered the alert, with specific values for each parameter that has exceeded safe limits. A red alert icon appears prominently on the dashboard, allowing remote users to recognize the flood risk instantly.
[0086] FIG. 4 illustrates a flowchart of a method 400, outlining the sequential steps for early detection of floods and alert generation, in accordance with an exemplary embodiment of the present disclosure.
[0087] The method 400 may include, at step 402, monitoring various environmental and weather-related parameters via a plurality of sensor, at step 404, processing flood-related parameters via a microcontroller comprising of several modules, at step 406, receiving data from the plurality of sensor via a data input module, at step 408, processing data and detecting anomalies indicative of flood risk based on predetermined thresholds via a data processing module, at step 410, activating a buzzer in response to detected flood risk to alert nearby individuals of potential flood conditions via an alert activation module, at step 412, transmitting the processed data and alert notifications for remote monitoring via a data transmission module, and at step 414, receiving and displaying the transmitted data and flood-risk alerts via a user device.
[0088] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it will be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims.
[0089] A person of ordinary skill in the art may be aware that, in combination with the examples described in the embodiments disclosed in this specification, units and algorithm steps may be implemented by electronic hardware, computer software, or a combination thereof.
[0090] The foregoing descriptions of specific embodiments of the present disclosure have been presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the present disclosure to the precise forms disclosed, and many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described to best explain the principles of the present disclosure and its practical application, and to thereby enable others skilled in the art to best utilize the present disclosure and various embodiments with various modifications as are suited to the particular use contemplated. It is understood that various omissions and substitutions of equivalents are contemplated as circumstances may suggest or render expedient, but such omissions and substitutions are intended to cover the application or implementation without departing from the scope of the present disclosure.
[0091] Disjunctive language such as the phrase "at least one of X, Y, Z," unless specifically stated otherwise, is otherwise understood with the context as used in general to present that an item, term, etc., may be either X, Y, or Z, or any combination thereof (e.g., X, Y, and/or Z). Thus, such disjunctive language is not generally intended to, and should not, imply that certain embodiments require at least one of X, at least one of Y, or at least one of Z to each be present.
[0092] In a case that no conflict occurs, the embodiments in the present disclosure and the features in the embodiments may be mutually combined. The foregoing descriptions are merely specific implementations of the present disclosure, but are not intended to limit the protection scope of the present disclosure. Any variation or replacement readily figured out by a person skilled in the art within the technical scope disclosed in the present disclosure shall fall within the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.
, Claims:I/We Claim:
1. A system (100) for early detection of floods and alert generation, the system (100) comprising:
a plurality of sensor (102) integrated into the system (100) and configured to monitor various environmental and weather-related parameters, wherein the plurality of sensor (102) further comprises:
a distance measurement sensor (118) configured to measure the distance to a water surface and monitor changes in water level;
a temperature sensor (120) configured to measure the ambient temperature in the monitored environment;
a humidity sensor (122) configured to measure atmospheric humidity levels;
a water level sensor (124) configured to measure the water level within a water reservoir to provide data indicative of potential overflow;
a water flow sensor (126) configured to sense the rate of water flow within a water source to detect changes in flow stability;
a microcontroller (108) connected to the plurality of sensor (102) and configured to process flood-related parameters, wherein the microcontroller (108) further comprises:
a data input module (128) configured to receive data from the plurality of sensor (102);
a data processing module (130) configured to process data and detect anomalies indicative of flood risk based on predetermined thresholds;
an alert activation module (132) configured to activate a buzzer (110) and update a display screen (112) in response to detected flood risk to alert nearby individuals of potential flood conditions;
a data transmission module (134) configured to transmit the processed data and alert notifications for remote monitoring; and
a user device (116) connected to the microcontroller (108) via a communication network (104) and configured to receive and display the transmitted data and flood-risk alerts.
2. The system (100) as claimed in claim 1, wherein the water flow sensor (126) is connected to a rotor (136) which rotates in response to water flow, and the rotational speed of the rotor (136) is measured by a motor (138) to determine the rate of flow of water.
3. The system (100) as claimed in claim 1, wherein the buzzer (110) is configured to emit an audible alarm in response to detected flood risk.
4. The system (100) as claimed in claim 1, wherein the display screen (112) is configured to display status messages, including indicators such as safe and alert, to provide immediate on-site risk assessment.
5. The system (100) as claimed in claim 1, wherein the display screen (112) is further configured to display the real-time data from the plurality of sensor (102) directly on-site.
6. The system (100) as claimed in claim 1, wherein the system (100) further comprises a communication unit (202) configured to transmit the processed data and flood-risk alerts from the microcontroller (108) to the user device (112).
7. The system (100) as claimed in claim 1, wherein the system (100) further comprises a cloud database (106) configured to store historical sensor data, enable remote access, and facilitate data logging for future analysis and flood preparedness.
8. The system (100) as claimed in claim 1, wherein the system (100) further comprises a power supply (114) to provide necessary power to all the components of the system (100) for continuous operation.
9. A method (400) for early detection of floods and alert generation, the method (400) comprising:
monitoring various environmental and weather-related parameters via a plurality of sensor (102);
processing flood-related parameters via a microcontroller (108) comprising of several modules;
receiving data from the plurality of sensor (102) via a data input module (128);
processing data and detecting anomalies indicative of flood risk based on predetermined thresholds via a data processing module (130);
activating a buzzer (110) in response to detected flood risk to alert nearby individuals of potential flood conditions via an alert activation module (132);
transmitting the processed data and alert notifications for remote monitoring via a data transmission module (134); and
receiving and displaying the transmitted data and flood-risk alerts via a user device (116).

Documents

NameDate
202441089392-COMPLETE SPECIFICATION [19-11-2024(online)].pdf19/11/2024
202441089392-DECLARATION OF INVENTORSHIP (FORM 5) [19-11-2024(online)].pdf19/11/2024
202441089392-DRAWINGS [19-11-2024(online)].pdf19/11/2024
202441089392-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [19-11-2024(online)].pdf19/11/2024
202441089392-FORM 1 [19-11-2024(online)].pdf19/11/2024
202441089392-FORM FOR SMALL ENTITY(FORM-28) [19-11-2024(online)].pdf19/11/2024
202441089392-REQUEST FOR EARLY PUBLICATION(FORM-9) [19-11-2024(online)].pdf19/11/2024

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