Urban Water Flow and Water Level Prediction Based on Deep Learning

<p>Unmanned Aerial Vehicles (UAVs) can be an excellent tool for environmental measurements due to their ability to reach inaccessible places and fast data acquisition over large areas. In particular drones may have a potential application in hydrology, as they can be used to create photogrammetric digital elevation models (DEM) of the terrain allowing to obtain high resolution spatial distribution of water level in the river to be fed into hydrological models. Nevertheless, photogrammetric algorithms generate distortions on the DEM at the water bodies. This is due to light penetration below the water surface and the lack of static characteristic points on water surface that can be distinguished by the photogrammetric algorithm. The correction of these disturbances could be achieved by applying deep learning methods. For this purpose, it is necessary to build a training dataset containing DEMs before and after water surfaces denoising. A method has been developed to prepare such a dataset. It is divided into several stages. In the first step a photogrammetric surveys and geodetic water level measurements are performed. The second one includes generation of DEMs and orthomosaics using photogrammetric software. Finally in the last one the interpolation of the measured water levels is done to obtain a plane of the water surface and apply it to the DEMs to correct the distortion. The resulting dataset was used to train deep learning model based on convolutional neural networks. The proposed method has been validated on observation data representing part of Kocinka river catchment located in the central Poland.</p><p>This research has been partly supported by the Ministry of Science and Higher Education Project &#8220;Initiative for Excellence &#8211; Research University&#8221; and Ministry of Science and Higher Education subsidy, project no. 16.16.220.842-B02 / 16.16.150.545.</p>

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Design and Development of Water Distribution Monitoring System in Regional Drinking Water Companies (PDAM) Based On Internet Of Things

Journal of Physics Conference Series ◽

10.1088/1742-6596/2111/1/012024 ◽

2021 ◽

Vol 2111 (1) ◽

pp. 012024

Author(s):

Efrizon ◽

M. Irmansyah ◽

Era Madona ◽

N Anggara ◽

Yultrisna

Keyword(s):

Internet Of Things ◽

Water Level ◽

Water Flow ◽

Distribution System ◽

Water Distribution ◽

Water Discharge ◽

Flow Sensor ◽

Sensor Reading ◽

Water Companies ◽

Monitor Data

Abstract The purpose of this study is to create a prepaid PDAM clean water distribution system using a microcontroller based on the Internet of Things (IoT). The hardware used to realize the system consists of ultrasonic sensors, water flow sensors, relays, LCD buzzers and Arduino. ESP 8266 01 for delivery to the Thingspeak app. From the test results obtained HC-SR04 ultrasonic sensor reading error occurs when the water level is low and too high, the maximum measurable water level is 95%. When calculating the comparison between the water discharge that is read by the sensor and that measured by the measuring cup, the results are always not the same. The error when testing the water flow sensor at the water level is less than 49% this is influenced by the speed of the water fired by the pump, where the pump will be under low pressure when the water level is below that value. The system can monitor data readings from the water flow sensor using the ESP8266 monitored on the thinkspeak web server using a smartphone. Overall the tool can function well.

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Water Level Monitoring System

International Journal of Scientific Research in Computer Science Engineering and Information Technology ◽

10.32628/cseit1952344 ◽

2019 ◽

pp. 1282-1287

Author(s):

Christo Biji ◽

Vandana C P

Keyword(s):

Drinking Water ◽

Water Level ◽

Monitoring System ◽

Water Flow ◽

Rain Water ◽

Level Monitoring ◽

Water Level Monitoring

The drinking water is one of the main problems affecting many countries now, in the same way we are not actually using the rain water properly. The misuse of water leads no many problems like uncontrolled water flow etc. Last year 2018 Kerala undergrown a deep flood because of huge rain due to that all the dams in Kerala opened simultaneously. It creates a huge flood in Kerala. Around 370 peoples died in Kerala due to this flood. The main reason is people are not aware of dam opening so the peoples near to the river all are washed off. Most of the dams are not having a digital sensing for water level. All the dams are having only scale measurement so failed to give information about damn opening. Water level monitoring system solves this problem It will give right information about water level in reservoir and it will avoid wastage water in tank.

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