AUTOMATIC WATER LEVEL MONITORING WITH IOT AND LPWAN

2019 ◽  
pp. 95-103
Author(s):  
Krum Videnov ◽  
Vanya Stoykova
Keyword(s):  
Water Level ◽  
Real Time ◽  
Early Warning ◽  
Water Sources ◽  
Water Levels ◽  
Water Level Fluctuations ◽  
Level Monitoring ◽  
Water Level Monitoring

Monitoring water levels of lakes, streams, rivers and other water basins is of essential importance and is a popular measurement for a number of different industries and organisations. Remote water level monitoring helps to provide an early warning feature by sending advance alerts when the water level is increased (reaches a certain threshold). The purpose of this report is to present an affordable solution for measuring water levels in water sources using IoT and LPWAN. The assembled system enables recording of water level fluctuations in real time and storing the collected data on a remote database through LoRaWAN for further processing and analysis.

Shiplock Multi-Channel Water Level Monitoring and Message Interaction

2013 ◽  
Vol 321-324 ◽  
pp. 586-591 ◽  
Author(s):  
Wei Tang ◽  
Peng Zhang ◽  
Yong Liu ◽  
Li Hui Wang ◽  
Lin Fei Liu
Keyword(s):  
Water Level ◽  
Real Time ◽  
High Performance ◽  
Water Levels ◽  
Channel Water ◽  
Level Information ◽  
Lock Chamber ◽  
Pressure Water ◽  
Level Monitoring ◽  
Water Level Monitoring

The real-time monitoring of water level is a key element for the security and automation of shiplock. To meet the requirement of real time measurement and information releasing of multipoint water level for a shiplock station, a multi-channel water level monitoring and SMS interaction system based on high-performance MCU W77E58 is designed. Pressure water level sensors are used to acquire multipoint real-time water levels at upstream, downstream, lock chamber points. The water level information is processed by MCU and transmitted to the remote IPC through the RS485 bus. IPC interface is designed basing on VB6.0. It completes the bi-directional interaction of water level information to cell phone users with GSM module by sending short messages. Site operation shows that overall scheme of the system is reasonable, hardware and software works well and running costs is relatively low. The system fully meets the requirements of shiplock and is worth popularizing and application.

scholarly journals Impact of Water Level Fluctuations on Landslide Deformation at Longyangxia Reservoir, Qinghai Province, China

2022 ◽  
Vol 14 (1) ◽  
pp. 212
Author(s):  
Shufen Zhao ◽  
Runqiang Zeng ◽  
Hongxue Zhang ◽  
Xingmin Meng ◽  
Zonglin Zhang ◽  
...  
Keyword(s):  
Water Level ◽  
Single Point ◽  
Water Levels ◽  
Monitoring Data ◽  
Water Level Fluctuations ◽  
Reservoir Water ◽  
Reservoir Water Level ◽  
Landslide Deformation ◽  
Level Monitoring ◽  
Water Level Monitoring

The construction of Longyangxia Reservoir has altered the hydrogeological conditions of its banks. Infiltration and erosion caused by the periodic rise and fall of the water level leads to collapse of the reservoir banks and local deformation of the landslide. Due to heterogeneous topographic characteristics across the region, water level also varies between different location. Previous research on the influence of fluctuations in reservoir water level on landslide deformation has focused on single-point monitoring of specific slopes, and single-point water level monitoring data have often been used instead of water level data for the entire reservoir region. In addition, integrated remote sensing methods have seldom been used for regional analysis. In this study, the freely-available Landsat8 OLI and Sentinel-2 data were used to extract the water level of Longyangxia Reservoir using the NDWI method, and Sentinel-1A data were used to obtain landslide deformation time series using SBAS-InSAR technology. Taking the Chana, Chaxi, and Mangla River Estuary landslides (each having different reservoir water level depths) as typical examples, the influence of changes in reservoir water level on the deformation of three wading landslides was analyzed. Our main conclusions are as follows: First, the change in water level is the primary external factor controlling the deformation velocity and trend of landslides in the Longyangxia Reservoir, with falling water levels having the greatest influence. Second, the displacement of the Longyangxia Reservoir landslides lags water level changes by 0 to 62 days. Finally, this study provides a new method applicable other areas without water level monitoring data.

scholarly journals Sistem Monitoring Pintu Air Bendungan Menggunakan Mikrokontroler Wemos D1 R1 Berbasis Website

2019 ◽  
Vol 1 (01) ◽  
pp. 51-60
Author(s):  
Rais Rais ◽  
Yerry Febrian Sabanise
Keyword(s):  
Water Level ◽  
Real Time ◽  
Monitoring System ◽  
Ultrasonic Sensor ◽  
Water Levels ◽  
Water Runoff ◽  
Lcd Displays ◽  
Level Monitoring ◽  
Water Level Monitoring ◽  
The Web

Floodgate monitoring is related to water level monitoring. Problems that occur Weir information about the water level, water runoff, level, status of floodgates and recap results that can be seen on the web in real-time are not yet available, so monitoring the floodgates is difficult, less effective and maximum. Weir officials must go back and forth from the weir to the guard post and then to the control to move the floodgates. The purpose of the design of a sluice monitoring system is based on the website. Assist officers in monitoring floodgates to make it more effective and maximal. Using Wemos D1 R1 Microcontroller, Ultrasonic Sensor HC-SR04 to read water level, DC Motor moves the floodgates. LCD displays runoff and level. Siren as a danger warning. The trial results show that the system that has been made runs well. The system is able to open the floodgates through control of the web and runs automatically. Water runoff and level can be displayed on the LCD. Weir information about water levels, water runoff, levels, sluice status, and recap results can be viewed on the web in real time.

Smart Water Level Monitoring System for Farmers

2019 ◽  
pp. 213-228
Author(s):  
Nalina Suresh ◽  
Valerianus Hashiyana ◽  
Victor Panduleni Kulula ◽  
Shreekanth Thotappa
Keyword(s):  
Water Level ◽  
Monitoring System ◽  
Cost Effective ◽  
Weather Conditions ◽  
Water Levels ◽  
Measurement Systems ◽  
Smart Water ◽  
Level Measurement ◽  
Level Monitoring ◽  
Water Level Monitoring

With advancement in technology and ever-changing weather conditions, accurate and affordable water level measurement systems has become necessary for farmers. This therefore brings about the need for a system incorporating the use of IoT technology that will monitor water levels at a cost-effective price with accurate and dependable results. The prototype will monitor water levels on a regular basis and the data captured will be stored in a database to help farmers improve the way they manage their water resource. Farmers will be able to monitor the water levels from any location at any given time. This chapter focuses on a Smart Water Level Monitoring System for Farmers and provides a smart way to manage water resources on farms in the most cost-effective and convenient manner for farmers.

scholarly journals Early warning flood detector adopting camera by Sobel Canny edge detection algorithm method

2021 ◽  
Vol 22 (3) ◽  
pp. 1796
Author(s):  
Satryo B. Utomo ◽  
Januar Fery Irawan ◽  
Rizqi Renafasih Alinra
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Water Level ◽  
Real Time ◽  
Early Warning ◽  
Detection System ◽  
Water Levels ◽  
Level Gauge ◽  
Canny Edge Detection ◽  
Canny Edge

Early warning of floods is an essential part of disaster management. Various automatic detectors have been developed in flood mitigation, including cameras. But reliability and accuracy have not been improved. Besides, the use of monitoring devices has been employed to monitor water levels in various water building facilities. The early warning flood detector was carried out with a sensor camera using an orange ball that floats near the water level gauge in a bounding box. This approach uses the integration of computer vision and image processing, namely digital image processing techniques, with Sobel Canny edge detection (SCED) algorithms to detect quickly and accurately water levels in real-time. After the water level is measured, a flood detection process is carried out based on the specified water level. According to the results of experiments in the laboratory, it has been shown that the proposed approach can detect objects accurately and fast in real-time. Besides, from the water level detection experiment, good results were obtained. Therefore, the object detection system and water level can be used as an efficient and accurate early detection system for flood disasters.

scholarly journals Wireless Sensor Network for Real-time Flood Monitoring Based on 6loWPAN Communication Standard

2016 ◽  
Vol 1 (1) ◽  
pp. 12-22 ◽  
Author(s):  
Nuhu B. K. ◽  
Arulogun O. T. ◽  
Adeyanju I. A. ◽  
Abdullahi I. M.
Keyword(s):  
Wireless Sensor Network ◽  
Water Level ◽  
Real Time ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Major Disaster ◽  
Flood Monitoring ◽  
Monitoring Application ◽  
Level Monitoring ◽  
Water Level Monitoring

Riverine flood is a major disaster faced by most countries and has significant adverse effect on long term economic growth of affected regions and their environments. Several systems have previously employed different technologies to monitor riverine flood but are expensive with low accuracy and consumes high amount of energy. In this paper, we proposed an energy efficient and accurate flood monitoring system. The system leverages on Internet Protocol Version 6 over Low Power Wireless Personal Area Network (6loWPAN) technology to construct a Wireless Sensor Network (WSN) comprising of two XM1000 motes and a rule-base water level monitoring application. The motes were configured using NesC programming for flood monitoring with Basestation and water level sensing applications. The water level sensing mote samples and transmits real-time water level information to the Basestation mote which interfaces with a rule-based water level monitoring application. The application compares current water level with a predetermined threat level and alerts relevant agencies when flood is imminent via an email. The results obtained from the emulation of the developed system showed that, it achieved an accuracy of 95.3% in water level monitoring with a Mean Squared Error of 5.1. The power consumed in transmitting a packet of 2 bytes payload plus other overhead was 0.4µJ and 0.0396mJ with and without 6loWPAN configuration respectively.

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