SIR-Based Oil Tanks Leak Detection Method
Leakage from oil tanks occurs unexpectedly, which may lead to serious environmental threats and economic loss. There is increasing demand to develop a method that can detect leakage accurately with a low probability of false alarm and a high probability of detection. As one of the methods of measuring the quantity of oil in the tank, automatic tank gauges give a low performance on determining a threshold which can be used to identify the leakage accurately. In order to solve the problem mentioned above, a statistical inventory reconciliation (SIR) method is proposed for leak detection in this paper. The proposed method utilizes a sophisticated statistical calculation to analyze a long period of data in a host computer, and then presents a leak detection report with calculated leak rate, threshold, probability of false alarm and probability of detection clearly. The experimental results conducted using an induced leak in the tanks with different dimensions show the validity of the proposed method. Restricted by the precision of sensors, this method need more time to give a conclusive result in large tanks. A novel low-range differential pressure (LRDP) device with high precision can be used to shorten the minimal detectable time of this method, which is of great value in further research.
Statistical Inventory Reconciliation (SIR) Leak Detection Automatic Tank Gauges Low-Range Differential Pressure (LRDP)
Zhiyu Li Aishe Shui Kaiwen Luo Jiachuan Chen Ming Li
Logistical Engineering University, Chongqing 400016, China
国际会议
2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)
四川绵阳
英文
1946-1950
2011-05-23（万方平台首次上网日期，不代表论文的发表时间）