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.

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.

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 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.

scholarly journals Estimating Real-Time Water Area of Dongting Lake Using Water Level Information

Water ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1240
Author(s):  
Yuannan Long ◽  
Rong Tang ◽  
Changshan Wu ◽  
Changbo Jiang ◽  
Shixiong Hu
Keyword(s):  
Linear Regression ◽  
Water Level ◽  
Real Time ◽  
Yangtze River Basin ◽  
Water Area ◽  
Dongting Lake ◽  
Water Levels ◽  
Lake Area ◽  
Level Information ◽  
Maximum Water

Dongting Lake, the second largest freshwater lake in China, is an important water source for the Yangtze River Basin. The water area of Dongting Lake fluctuates significantly daily, which may cause flooding and other relevant disasters. Although remote sensing techniques may provide lake area estimates with reasonable accuracy, they are not available in real-time and may be susceptible to weather conditions. To address this issue, this paper attempted to examine the relationship between lake area and the water levels at the hydrological stations. Multi-temporal water area data were derived through analyzing Moderate Resolution Imaging Spectroradiometer (MODIS) imagery using the Automatic Water Extraction Index (AWEI). Then we analyzed the inter- and intra-annual variations in the water area of the Dongting Lake. Corresponding water level information at hydrological stations of the Dongting Lake were obtained. Simple linear regression (SLR) models and stepwise multiple linear regression (SMLR) models were constructed using water levels and water level differences from the upstream and downstream hydrological stations. We used the data from 2004 to 2012 and 2012, respectively, to build the model, and applied the data from 2013 to 2015 to evaluate the models. Results suggest that the maximum water area of the Dongting Lake during 2000–2015 has a clear decreasing trend. The variations in the water area were characterized by hydrological seasons, with the annual minimum and maximum water areas occurring in January and September, respectively. The water level at the Chengjingji station, and water level differences between upstream stations and the Chengjingji station, play a major role in estimating the water area. Further, results also show that the SMLR established in 2012 performs the best in estimating water area of the Dongting Lake, especially with high water levels.

scholarly journals Real-time ground-water-level monitoring in New Jersey, 2002

Fact Sheet ◽  
2003 ◽  
Author(s):  
Walter D. Jones ◽  
Anthony S. Navoy ◽  
Daryll A. Pope
Keyword(s):  
New Jersey ◽  
Ground Water ◽  
Water Level ◽  
Real Time ◽  
Ground Water Level ◽  
Level Monitoring ◽  
Water Level Monitoring
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