SIR-based oil tanks leak detection method

Li, Zhiyu; Shui, Aishe; Luo, Kaiwen; Chen, Jiachuan; Li, Ming

doi:10.1109/ccdc.2011.5968519

Cited by 4 publications

(3 citation statements)

References 1 publication

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“…It is possible that this result stems from the highly deformed tank from which the data is obtained. Whereas the previous studies worked with a volume difference of a few liters (Gorawski et al, 2017;Z. Li et al, 2011) that of current data is within the range of +100 L to -300 L. Thus, we believe that in the case of a tank with a lower variance range, the method would produce acceptable results well below the threshold of 0.4 L/h.…”

Section: Variance Reduction/adjustmentmentioning

confidence: 59%

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Yakıt Tankları İçin Bir Stok Yönetimi ve Sızıntı Tespit Sistemi

Dalman¹,

Özbek²

2020

Çanakkale Onsekiz Mart Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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One of the critical problems in wet-stock management is inaccurate (poor) tank calibration that masks the leakages from the underground storage tanks (USTs). Moreover, obtaining the correct tank parameters or recalibration is an expensive procedure if not impossible. This study aims to prevent the masking effect of several tank parameters on the tank calibration chart and to improve the leak detection and wet-stock management for fuel storage tanks. This goal is achieved through obtaining the mathematical models for simple cylindrical tank that convert the measured liquid height to accurate liquid volume by taking into account the tank deformations. The accounted deformations in tank parameters are errors in radius, length, probe offset and axial and radial tank tilts, as well as volume change with temperature. The simulations using the actual data gathered from a commercial fuel service station showed that the approach developed in this study is valid. The deformation included tank models successfully predicted the real fuel volumes. The results showed that the variance reduced from-300 L-+100 L range to-20 L-+20 L range for, which brings 67.2% improvement over the cumulative variance. This study also shows that obtaining the precise volume measurements by introducing models that account for the deformations in the UST is possible.

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Section: Variance Reduction/adjustmentmentioning

confidence: 59%

“…Li, 2014;Nosach, 2000;Sigut, Alayón, & Hernández, 2014). Second, from the wet-stock management and leak detection point of view, the reduced variance (67.2%) appears to be a good improvement compared to similar works (Caihong Gorawski et al, 2017;Z. Li, Shui, Luo, Chen, & Li, 2011;Sigut et al, 2014).…”

Section: Variance Reduction/adjustmentmentioning

confidence: 92%

Yakıt Tankları İçin Bir Stok Yönetimi ve Sızıntı Tespit Sistemi

Dalman¹,

Özbek²

2020

Çanakkale Onsekiz Mart Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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“…Meanwhile, existing level monitoring methods [9] for multiple tanks generally use wired transmission mode which is complex for construction and is not flexible for expansion. Although some research [10], [11] monitored tanks in wireless communication mode, they didn't consider automatically alarm architecture for notifying leakage situation to users and related offices directly.…”

Section: Introductionmentioning

confidence: 99%

A Low Power Automatically Warning System Based on Wireless Sensor Network

Chen¹,

Li²

2013

JCM

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Aiming at various water storage facilities, the number of which is generally large and whose distribution is not centralized in the industrial and civil buildings, this paper proposed a multi-channel water level telemetry and low power automatically warning system based on wireless sensor network. The sensor nodes of the proposed system could monitor water levels and transmit sensing data to the sink node periodically. The host server analyzed sensing data received from the sink node. Meanwhile, it made decisions according to the multigrade cycle comparison algorithm proposed in this paper to improve the alarm accuracy. Experiment result indicated that it could not only improve the alarm sensitivity of the system, but also avoid error judgment to a large extent. When a leakage emergency happened, the host server sends an alert message to the alert terminal, through the sink node. In addition, SMS server is added to the system architecture to automatically send emergency messages to related emergency processing offices for dealing with it timely. The design of sensor nodes adopts the sensing data selective transmission mechanism and the node transmission power adaptive mechanism to reduce power consumption. The experiment result indicates that the energy reducing effect is significant. The communication performance of the system network was tested and the experimental results show that the system has good reliability and real-time performance. By testing the system operations, the good performances of alarm accuracy and low power are verified.

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