High accuracy surface perceiving water level gauge with self calibration

In this paper, a novel self-optimizing water level monitoring methodology is proposed for smart city applications. Considering system maintenance, the efficiency of power consumption and accuracy will be important for Internet of Things (IoT) devices and systems. A multi-step measurement mechanism and power self-charging process are proposed in this study for improving the efficiency of a device for water level monitoring applications. The proposed methodology improved accuracy by 0.16–0.39% by moving the sensor to estimate the distance relative to different locations. Additional power is generated by executing a multi-step measurement while the power self-optimizing process used dynamically adjusts the settings to balance the current of charging and discharging. The battery level can efficiently go over 50% in a stable charging simulation. These methodologies were successfully implemented using an embedded control device, an ultrasonic sensor module, a LORA transmission module, and a stepper motor. According to the experimental results, the proposed multi-step methodology has the benefits of high accuracy and efficient power consumption for water level monitoring applications.

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Research on water level gauge image identification based on intelligent remote viewing

2016 Chinese Control and Decision Conference (CCDC) ◽

10.1109/ccdc.2016.7531232 ◽

2016 ◽

Author(s):

Changsheng Zhang ◽

Guang Feng ◽

Ziyu Liu ◽

Bin Sun ◽

Hanping Zhang

Keyword(s):

Water Level ◽

Level Gauge ◽

Image Identification ◽

Remote Viewing

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Research on HVPL for visual detection of bicolor water level gauge

The 26th Chinese Control and Decision Conference (2014 CCDC) ◽

10.1109/ccdc.2014.6852512 ◽

2014 ◽

Author(s):

Bin Sun ◽

Changsheng Zhang ◽

Ziyu Liu ◽

Haiyong Tian ◽

Hanping Zhang

Keyword(s):

Water Level ◽

Visual Detection ◽

Level Gauge

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Punched belt hole position deviation analysis of float type water level gauge

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/322/7/072017 ◽

2018 ◽

Vol 322 ◽

pp. 072017

Author(s):

Chunlei Mao ◽

Tao Wang ◽

Weijie Fu ◽

Lianhui Li

Keyword(s):

Water Level ◽

Level Gauge ◽

Deviation Analysis ◽

Hole Position ◽

Type Water

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High-accuracy self-calibration method for dual-axis rotation-modulating RLG-INS

10.1117/12.2266140 ◽

2017 ◽

Author(s):

Guo Wei ◽

Chunfeng Gao ◽

Qi Wang ◽

Qun Wang ◽

Xingwu Long

Keyword(s):

Calibration Method ◽

High Accuracy ◽

Self Calibration ◽

Axis Rotation

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Non-Contact Water Level Response Measurement of a Tubular Level Gauge Using Image Signals

Sensors ◽

10.3390/s20082217 ◽

2020 ◽

Vol 20 (8) ◽

pp. 2217 ◽

Cited By ~ 2

Author(s):

Sung-Wan Kim ◽

Dong-Uk Park ◽

Bub-Gyu Jeon ◽

Sung-Jin Chang

Keyword(s):

Water Level ◽

Storage Tank ◽

Shaking Table Test ◽

Shaking Table ◽

Level Gauge ◽

Fluid Level ◽

Response Measurement ◽

Liquid Storage ◽

Fluid Sloshing ◽

Liquid Storage Tank

The occurrence of excessive fluid sloshing during an earthquake can damage structures used to store fluids and can induce secondary disasters, such as environmental destruction and human casualties, due to discharge of the stored fluids. Thus, to prevent such disasters, it is important to accurately predict the sloshing behavior of liquid storage tanks. Tubular level gauges, which visually show the fluid level of a liquid storage tank, are easy to install and economical compared to other water level gauges. They directly show the fluid level and can be applied for various fluids because they can be constructed with various materials according to the fluid characteristics and the intended use. Therefore, in this study, the shaking table test was conducted to verify the validity of the method for measuring the water level response of the tubular level gauge installed on a liquid storage tank using image signals. In addition, image enhancement methods were applied to distinguish between the float installed in the tubular level gauge and the gray level of the background.

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Can GNSS-R Detect Abrupt Water Level Changes?

Remote Sensing ◽

10.3390/rs12213614 ◽

2020 ◽

Vol 12 (21) ◽

pp. 3614

Author(s):

Sajad Tabibi ◽

Olivier Francis

Keyword(s):

Water Level ◽

Vertical Velocity ◽

Energy Demand ◽

Water Surface ◽

Spatial Scales ◽

Satellite System ◽

Water Levels ◽

Level Gauge ◽

Surface Reflection ◽

Microwave Radar

Global navigation satellite system reflectometry (GNSS-R) uses signals of opportunity in a bi-static configuration of L-band microwave radar to retrieve environmental variables such as water level. The line-of-sight signal and its coherent surface reflection signal are not separate observables in geodetic GNSS-R. The temporally constructive and destructive oscillations in the recorded signal-to-noise ratio (SNR) observations can be used to retrieve water-surface levels at intermediate spatial scales that are proportional to the height of the GNSS antenna above the water surface. In this contribution, SNR observations are used to retrieve water levels at the Vianden Pumped Storage Plant (VPSP) in Luxembourg, where the water-surface level abruptly changes up to 17 m every 4-8 h to generate a peak current when the energy demand increases. The GNSS-R water level retrievals are corrected for the vertical velocity and acceleration of the water surface. The vertical velocity and acceleration corrections are important corrections that mitigate systematic errors in the estimated water level, especially for VPSP with such large water-surface changes. The root mean square error (RMSE) between the 10-min multi-GNSS water level time series and water level gauge records is 7.0 cm for a one-year period, with a 0.999 correlation coefficient. Our results demonstrate that GNSS-R can be used as a new complementary approach to study hurricanes or storm surges that cause abnormal rises of water levels.

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