scholarly journals Design of Oil Pipeline Monitoring System based on Wireless Sensor Network

The oil export industry dominates the economy of the world and it depends heavily on oil pipelines. Exposed pipelines are prone to malfunctioning due to intentional or unintentional tampering and vandalism, which is usually caused by damaging form of either knocking or drilling. Continuous structure health monitoring (SHM) of pipelines using conventional methods is difficult and expensive due to the extensive length of the pipelines and the harsh environment. Recent development in printed electronic circuits and microcontrollers open new possibilities in the field of monitoring and have proven their practicality in vibration monitoring process. This paper presents a monitoring system for pipeline heal of the structure based on the wireless sensor network. The system senses the pipeline vibration and relays the data to a base station for the procession. A WSN consists of three nodes is designed and implemented. Each node is built around 32-bit ARM core microcontroller, and equipped with an accelerometer to measure the pipeline vibration. The measurements of each sensor are collected wirelessly through ZigBee protocol to a base station. Results on a 2 m pipeline sample show the ability of the system to precisely detect damaging events e.g. knocking and drilling to the pipeline.

2018 ◽  
Vol 14 (06) ◽  
pp. 126
Author(s):  
Hongjuan Li ◽  
Gening Xu ◽  
Gelin Xu

<p class="0abstract"><span lang="EN-US">In order to solve the problem of mechanical vibration monitoring, a mechanical vibration monitoring system based on wireless sensor network was designed.</span><span lang="EN-US">First, the requirements of the hardware of the wireless rotating mechanical vibration monitoring system were analyzed. The monitoring node and base station node were designed.</span><span lang="EN-US">Then, based on the VisualBasic6.0 development tool, a software for monitoring the vibration of rotating machinery was designed. It had the functions of command control, data waveform display, and network topology display.</span><span lang="EN-US">In the mode of wireless mechanical vibration monitoring, the organization mode of the network, the transmission mode of data and the corresponding packet transmission format were improved.</span><span lang="EN-US">Finally, the reliable transmission of the data was verified. Compared with the traditional cable vibration sensor, the performance of the monitoring system was verified.</span><span lang="EN-US">The results showed that the wireless vibration monitoring system designed in this paper met the requirements for the monitoring of the vibration state of the rotating machinery.</span></p>


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.


2010 ◽  
Vol 34-35 ◽  
pp. 661-665
Author(s):  
Zhi Peng Feng ◽  
Cheng Zhong Zhang ◽  
Bin Xie ◽  
Jian Wei Cao ◽  
Xue Jun Li

Wireless sensor network overcomes the limitations of conventional tethered measurement techniques. It can be used in many situations where conventional tethered sensors cannot be employed due to the safety requirements, space limitation, and wiring cost. Thus it can further expand testing area, and improve measurement performance. A vibration monitoring system is developed based on wireless sensor network. Its architecture and principle are introduced, and its performance is validated by signal generator simulation and a gearbox vibration test.


Author(s):  
Bolaji A Omodunbi ◽  
Adebimpe O Esan ◽  
Olatayo M Olaniyan ◽  
Ibrahim A Adeyanju ◽  
Waliyullah Raheem ◽  
...  

 Hypertensive-patient monitoring is a continuous process of observing closely the situation of patient's blood pressure and alerting the appropriate personnel in case of any anomaly. It usually requires the use of non-invasive sensors that are hardwired to bedside monitors. Although, present systems allow continuous monitoring of patient vital signs and limit the patient to the bed, the readings are mostly stored on the system local memory over a period of time before it is assessed for analysis. Hence, the need for a real time hypertensive patients’ monitoring system which can meet up with immediate demands of emergency cases. This paper presents a Wireless Sensor Network (WSN)-based health monitoring system that addressed the aforementioned drawbacks for monitoring hypertensive in-patients. The design of the system comprises of hardware components such as blood pressure sensor, Bluetooth serial communication circuit, sensor node for base station interfaces and software components. Performance evaluation of the designed system gave an accuracy of 89.7% in blood pressure monitoring. The system is also cost effective, reliable and user friendly when compared with existing systems. Keywords— Blood Pressure, Health monitoring, Hypertension, Wireless Sensor Networks


The higher the human population, the higher the demand for food supply from the agriculture sector. However, healthy and environment-friendly plant-based food production is very time-consuming. Water quality checking by the human resource is no longer efficient in the presence of technology today. Thus, a water quality monitoring system for aquaponics and fishpond is proposed in this study adapting the use of Wireless Sensor Network (WSN), Message Queuing Telemetry Transport (MQTT) protocol, and Wi-Fi signal. The completed system was successfully tested and implemented at the Malaysian Institute of Sustainable Agriculture (MISA). The devices send measurements to a base station which hosted a web server which can be viewed both locally and via the Internet. Results show the system is practical in use as it is both stable and reliable with 5 seconds maximum measurement refresh rate on its dashboard. Thus, reduces human dependency for monitoring the water quality of both the aquaponics and fishpond. Human resource can then be allocated to more crucial roles. Room for improvement includes complete use of solar renewable energy, adding Wi-Fi extender for large scale implementation, and equipping the Raspberry Pi with a cooling fan. This is the step forward to modernising agriculture.


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