FLOOD MONITORING SYSTEM

Abstract

FLOOD MONITORING SYSTEM ABSTRACT Floods are a complex phenomenon that is difficult to predict because of their non-linear and dynamic nature. Gauging stations that transmit measured data to the server are often placed in very harsh and far environments that make the risk of missing data so high. The purpose of this study is to develop a real-time reliable flood monitoring and detection system using deep learning. This paper proposed an Internet of Things (IoT) approach tor utilizing LoRaWAN as a reliable, low power, wide area communication technology by considering the effect of radius and transmission rate on packet loss. Besides, we evaluate an artificial neural network (ANN), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU) neural network models for flood forecasting. The data from 2013 to 2019 were collected from four gauging stations at Brandywine-Christina watershed, Pennsylvania. Our results show that the deep learning models are more accurate than the physical and statistical models. These results can help to provide and implement flood detection systems that would be able to predict floods at rescue time and reduce financial, human, and infrastructural damage.

Specification

FORM - 2
THE PATENTS ACT, 1970
(39 OF 1970)
&
THE PATENTS RULES, 2003
COMPLETE SPECIFICATION
(see Section 10 & rule 13)

l. TITLE OF THE INVENTION : FLOOD MONITORING SYSTEM
2. APPLICANT:
S.No NAME NATIONALITY ADDRESS
1 Saveetha Institute of Medical and
Technical Sciences
INDIAN Saveetha Nagar, Thandalam,
Chennai - 602 105,Tamil Nadu,
India

3. PREAMBLE TO THE DESCRIPTION:
The following specification describes the invention and how it is to be performed.
4. COMPLETE SPECIFICATION
The following specification particularly describes the invention and the manner in which it is tobe
performed. ....................... Separate sheet is attached.....................................
5. DESCRIPTION
Separate sheet is attached______
6. CLAIMS
Separate sheet is attached______
DATE:
SIGNATURE:
NAME
1. ABSTRACT OF THE INVENTION
Separate sheet is attached-


Repeat boxes inn case of more than one entry.
Tr. B.RAMESH
PRINCIPAL
SIM ATS SCHOOL OF IIFTiNG
SAVEETHA INSTITUTE OF MEDICIAL
TECHNIAL SCIENCES

Note:-
To be signed by the applicant(s) or by authorized registered patent agent otherwise where mentioned.
Tic (A/)/cross(x) whichever is applicable/not applicable in declaration inpara-9.
Name of the Inventor and applicant should be given in full, family name in the beginning.
Complete address of the inventor and applicant should be given stating the postal Indexno./code, state and country, Strike out the column which is/are not applicable

Bank : INDUSIND BANK
Branch : NUNGAMBAKKAM
( SAVEETHA UNIVERSITY)
DD No : 402689
DD Date: 16/11/2024
DD Amount: 8,900/-

FLOOD MONITORING SYSTEM
PREAMBLE TO THE DESCRPTION
THE FIELD OF INVENTION (PACKAGING INDUSTRY)
The invention pertains to innovative advancements in the packaging, and biotech industries, specifically in the areas of food packaging, water treatment, and pH strips.

BACKGROUND OF THE INVENTION
In this paper, we have explored and reviewed the existing methods of flood monitoring and emphasizing their structure and sensing techniques. We have also classified and compared their advantages and limitations and accordingly suggested new solutions and improvements by utilizing new technologies based on the Internet of Things. This paper introduces a detailed mini-review of sensing methods in the existing flood systems as reported in previous studies to serve as a quick guide to researchers who are engaging in this field. Based on the review, conclusions have been drawn.

SUMMARY OF THE INVENTION
Purpose: The system aims to monitor water levels in rivers, lakes, and other bodies of water to detect rising levels that may indicate potential flooding, providing early warnings to mitigate risks to life and property.

FLOOD MONITORING SYSTEM
COMPLETE SPECIFICATION

Specifications
1. Introduction
The flood monitoring system is designed to provide early detection and alert for potential flooding
by continuously monitoring water levels and environmental conditions. This system is intended for deployment in flood-prone areas, enabling local authorities and citizens to take proactive measures to protect life and property.

2. System Overview
The flood monitoring system consists of the following core components:
• Water Level Sensors
• Weather Stations
• Data Processing and Monitoring Unit
• Communication System
• Alert and Notification System
• Power Supply
The system uses real-time data collection and analysis to predict potential flood events and send timely alerts to concerned authorities and communities.

3. Components and Functionality
a. Water Level Sensors
• Type: Ultrasonic, radar, or pressure-based water level sensors.
• Placement: Installed in rivers, lakes, reservoirs, or other water bodies.
• Data Collected: Water depth, flow rate, velocity, and trends over time.
• Operating Conditions: Suitable for harsh weather and water exposure; IP68-rated for
waterproofing.
b. Weather Stations
• Sensors: Rain gauges, wind speed sensors, temperature sensors, and humidity meters.
• Purpose: Collect real-time weather data (e.g., precipitation rates) that could contribute to
rising water levels.
• Data Output: Weather data, which is fed into the system's flood prediction algorithm.
c. Communication System
• Network: Supports various communication protocols like GSM, LTE, satellite, LoRaWAN,
or a private radio frequency network.
• Data Transfer: Secure transmission of data from remote sensors to a centralized monitoring
system.
• Redundancy: Backup communication channels (e.g., satellite) for continuous operation
during adverse weather conditions.
d. Data Processing Unit
• Hardware: A central server or cloud-based solution for real-time data processing.
• Software: Uses machine learning algorithms or predictive models for flood forecasting.
Processes incoming data from sensors and compares it to historical trends to predict potential
flooding.

DESCRIPTION
A flood monitoring system is an advanced technological solution designed to monitor, detect, and predict potential flooding in real-time. It operates by continuously collecting data from various environmental sources such as water level sensors, weather stations, and flow meters, which are strategically deployed in flood-prone areas like rivers, lakes, and coastal regions. By analyzing this data, the system identifies risks and triggers alerts to warn authorities and the public, allowing for proactive actions to mitigate the effects of flooding.

Key Features:
1. Water Level Sensors: These sensors are installed in water bodies to monitor fluctuations in water levels, flow rate, and velocity. They provide real-time data about rising water that could indicate a potential flood.

2. Weather Monitoring: The system integrates weather stations equipped with rain gauges,
temperature sensors, and wind speed monitors to detect weather conditions like heavy rainfall
that could contribute to flooding.

FLOOD MONITORING SYSTEM
CLAIM
We Claim

1. Claim: Biofilm with pH indicator claim that the efficacy of biofilm by offering pH indication
under a variety of liquid and solid food conditions.

2. Claim: The Biofilm with pH indicator stands by its assertion that it is a natural product with
minimal side effects.

3. Claim: The Biofilm with a pH indicator is capable ofchanging color in response to varying pH
levels, showcasing a spectrum of colors including pink, purple, blue and green

4. Claim: Appropriate for environmental monitoring programs that need the tracking of changes
in pH in environments, including soil bodies.

5. Claim: The biofilm with pH indicator claims that Bioplastics can be utilized to create
packaging materials that are eco-friendly and biodegradable.

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