A Pipeline Monitoring System Based on Negative Pressure Wave and Wireless Sensor

2017 ◽  
Vol 865 ◽  
pp. 580-585 ◽  
Author(s):  
Chen Ding ◽  
Guo Dong Wu ◽  
Liu Peng ◽  
Guang Ming Cao ◽  
Gou Zhao ◽  
...  

Negative pressure wave positioning method is a technique for pipeline leakage detection and location, which is widely used in various fields. Wireless sensor technology has the advantages of low power consumption, easy networking and high positioning accuracy, which is the preferred technology for wireless location. This paper discusses a pipeline monitoring system based on negative pressure wave and wireless sensor. This system combines the advantages of high positioning accuracy, wide application range and small nodal volume. In order to prove the practicality, reliability and accuracy of this system, experimental results and comparison with other method are given, positioning error within 5%.

Author(s):  
Zhuang Li ◽  
Shijiu Jin ◽  
Likun Wang ◽  
Yan Zhou

The petroleum leakage has been a serious problem these years in China. The leakage, mostly caused by human destruction, lasting a short time with a large amount of loss, is not only an economic loss for the petroleum company, but environmental pollution, a public issue. Thus a monitoring system, which can identify the leakage and locate the leak point in real time, is required. One of the challenges is the sensitivity of the system. The system is expected to respond quickly to locate the point so that the security personnel can find and mend the orifice in time. Another challenge is the accuracy of the locating result. Because of the features of Chinese petroleum: high viscosity, high wax content and high freezing point, the sound wave speed in the oil is not a constant along the pipeline and the leak point calculated by the traditional negative pressure wave method are invalid. In this paper, a modified negative pressure wave method was put forward according to the variation of the wave speed. A wavelet-based algorithm applied to calculate the leak point gives fairly satisfied results. The data acquisition, signal processing and the structure of the pipeline leakage monitoring system (PLMS) were analyzed. The system has played a big role on the pipeline network in Shengli Oil Field and long pipelines of East China Oil Bureau.


2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Qingmin Hou ◽  
Liang Ren ◽  
Wenling Jiao ◽  
Pinghua Zou ◽  
Gangbing Song

Methods that more quickly locate leakages in natural gas pipelines are urgently required. In this paper, an improved negative pressure wave method based on FBG based strain sensors and wavelet analysis is proposed. This method takes into account the variation in the negative pressure wave propagation velocity and the gas velocity variation, uses the traditional leak location formula, and employs Compound Simpson and Dichotomy Searching for solving this formula. In addition, a FBG based strain sensor instead of a traditional pressure sensor was developed for detecting the negative pressure wave signal produced by leakage. Unlike traditional sensors, FBG sensors can be installed anywhere along the pipeline, thus leading to high positioning accuracy through more frequent installment of the sensors. Finally, a wavelet transform method was employed to locate the pressure drop points within the FBG signals. Experiment results show good positioning accuracy for natural gas pipeline leakage, using this new method.


2017 ◽  
Vol 46 (7) ◽  
pp. 722002
Author(s):  
赵 林 Zhao Lin ◽  
王纪强 Wang Jiqiang ◽  
李 振 Li Zhen

Due to the recent advancements in the fields of Micro Electromechanical Sensors (MEMS), communication, and operating systems, wireless remote monitoring methods became easy to build and low cost option compared to the conventional methods such as wired cameras and vehicle patrols. Pipeline Monitoring Systems (PMS) benefit the most of such wireless remote monitoring since each pipeline would span for long distances up to hundreds of kilometers. However, precise monitoring requires moving large amounts of data between sensor nodes and base station for processing which require high bandwidth communication protocol. To overcome this problem, In-Situ processing can be practiced by processing the collected data locally at each node instead of the base station. This Paper presents the design and implementation of In-situ pipeline monitoring system for locating damaging activities based on wireless sensor network. The system built upon a WSN of several nodes. Each node contains high computational 1.2GHz Quad-Core ARM Cortex-A53 (64Bit) processor for In-Situ data processing and equipped in 3-axis accelerometer. The proposed system was tested on pipelines in Al-Mussaib gas turbine power plant. During test knocking events are applied at several distances relative to the nodes locations. Data collected at each node are filtered and processed locally in real time in each two adjacent nodes. The results of the estimation is then sent to the supervisor at base-station for display. The results show the proposed system ability to estimate the location of knocking event.


Author(s):  
Dongliang Yu ◽  
Laibin Zhang ◽  
Liang Wei ◽  
Zhaohui Wang

The appearance of a rupture, leak or damage in the long-distance oil & gas pipeline, which could cause a leak, usually generates a non-linear & chaotic negative pressure wave signal. By properly interpreting the negative pressure wave signature, it is possible to detect a leak along the pipeline. Most traditional noise reduction methods are established based on the linear system, which are not in line with the actual non-linear & chaotic situation. Therefore, the weak negative pressure wave signals, generated by small leaks, are often filtered out and cause false alarm and failure alarm. In order to resolve the problem, this paper uses the non-linear projective algorithm for noise reduction. First, the weak negative pressure wave signal series would be reconstructed using delay coordinates, in the high dimensional phase space, the background signal, the negative pressure wave signal and the noise signal are separated into different sub-spaces. Through the reconstruction of sub-spaces, the weak pressure wave signal can be isolated from the background signal as well as the random noise component reduced.


2012 ◽  
Vol 591-593 ◽  
pp. 1835-1838
Author(s):  
Xu Hui Cao ◽  
Cai Wu Lu ◽  
Yu Ji Li

WI-FI is currently a popular wireless LAN technology, with access to high speed, large coverage area and so on. WI-FI has its flexibility and mobility, more and more attention, showing great prospects. This article describes the characteristics and advantages of WI-FI technology, combined with the actual situation of a WI-FI based wireless sensor technology and monitoring system for the implementation of the mine ventilation plan, and the program specific application in the monitoring system has been described, the program has proved flexible, simple wiring, has certain application value.


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