OIL FLOW CONTROL AND MONITORING SYSTEM

Transcription

1 International Journal of Emerging Trends in Science and Technology OIL FLOW CONTROL AND MONITORING SYSTEM Mr.Aravindhan.R 1, Dr.Jayanthi.S 2 1 Student, ME Embedded System Technologies, Sri Ramakrishna Engineering College, Coimbatore. aravndkishna@gmail.com 2 HOD, Department of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, Coimbatore. jayanthy.s@srec.ac.in ABSTRACT:A monitoring system based on ARM processor is proposed to maintain the flow of oil in an oil plant pipeline. Because the oil is operated with very high temperature and pressure, oil flow and other problems occur occasionally. Oil leakage is a major catastrophe since it causes severe damage to life and property. Moreover it is difficult to monitor oil flow in a pipeline because the oil flow problems are almost invisible. In recent days most measuring methods are based on purely online measuring with a single sensor or integration of multiple sensors. In this paper, we propose a oil flow monitoring system by using an embedded system which contains ARM7 microcontroller based control system. The parameters like temperature, viscosity, colour and ph of the oil is continuously monitored. These calculated data is transmitted to the base station for monitoring the pipeline using Zigbee Module. Keywords: ARM 7(LPC2148) Microcontroller, oil flow monitoring, Flow control. 1. INTRODUCTION The oil flow and other problems mostly occur at the weak points; normally on valves and welding connections. If there is any oil leakage, that brings many human casualties and economic losses. Therefore, the system for monitoring oil flow is needed. Most of the flow monitoring systems use AE (Acoustic Emission) sensor. The system attached sensors to the pipes directly. Therefore, it makes the system more complex and also the system for real-time monitoring the oil pipeline requires high performance and more expensive. In this paper, we propose a system for the detecting oil flow by using different sensors. The proposed system uses embedded system which contains ARM7 microcontroller based control system to detect leaks in the real time. This paper deals with the monitoring of oil plant pipeline. In normal condition atmosphere changes the oil physical property and it may cause severe damage to life and property. Therefore for avoiding that oil s flow in a pipeline is monitored continuously by integrating multiple sensors like temperature sensor, viscosity sensor, ph sensor, acoustic sensor, colour sensor into a single module connected with ARM7 LPC2148 microcontroller. If there is any change in oil s physical property then the data will be transmitted to the base station by using a zigbee module. 2. LITERATURE SURVEY GAO Huiliang, et al (2013) has proposed an Information Fusion of Online Oil Monitoring System Using Multiple Sensors. In normal condition oil contains distinct informtion an online Mr.Aravindhan.R 1 Page 656

2 oil monitoring system integrated with multiple sensors was designed. Multiple integrated sensors could characterize the oil situation better than a single sensor The measurement data was processed with a fuzzy logic. Information from different sensors in an oil online monitoring system was evaluated by using fuzzy logic. They used cluster analysis to analyze information from multiple resources and neural network to identify the wear situation of wear couple. The major limitation of this method is, that they have taken sample of oil for measurement by doing this it may take more time for calculating the characteristic of oil that flow in that pipeline and also because of using fuzzy logic for measuring the property and it s not easy to understand the fuzzy logic to other people who work on this product. Ki-Sung Son, et al (2011) has proposed an Oil Leakage Monitoring System by using Image Processing in normal the oil plant pipeline is operated with very high temperature and pressure, oil leakage is generated occasionally. This is very difficult to monitor oil leakage. This is because the oil leakage is almost invisible. Therefore, oil leakage monitoring system is required. In this system oil leakage is monitored by using image processing. This method uses the CCTV camera to acquire images. Normally system detects changes in the successive images. Reference image and the current image are calculated by comparing the difference. This difference image is used to detect leakage. Commonly, the obtained image contains background noise. This noise produces an error in the results of leak detections. And the image processing method of the oil leakage is proposed. The major disadvantage of this paper is image is taken for finding the oil leakage in some cases we cannot get the high accurate image for finding the leakage in the plant. If the camera doesn t capture the image accurately may cause the severe problem for human and property. Jun Chen and Yaqhg Tu (2004)has proposed Webbased structural mode adopted in the remote monitoring and controlling system, the paper puts forward an integrated technological solution of the oil delivery remote monitoring and controlling system, specifies its system structure and the design and implementation of the system. The system is to collect the field data of an oil warehouse and provide the function of information browsing, error alarm and remote controlling to inner users of an enterprise. After the identity was validated, the user can realize the real-time monitoring and controlling of the fuelling process in an oil warehouse via the Internet/Intranet. In practical operation, because of using the Web-based remote monitoring and controlling system is found to be reliable, steady, flexible and extendable, which can effectively realtime monitor and control the field systems. Here the major limitation is Security, when transmitting data from one place to another by using internet then the data can be easily hacked. Therefore for avoiding data have to encrypted before transmission. By encrypting and decrypting the data it may make the system costly. The above mentioned surveys deal with the various concepts, analysis and evaluation model which describes about the scope of theoil flow control and monitoring systems. In the above papers surveyed, the major limitations is using image processing for detection of oil leakage. On integrating the merits of above referenced papers the proposed work is implemented by using different kind of sensors for more reliability and cost effectiveness. 3. SYSTEM DESIGN 3.1 Existing system Multiple sensors for temperature, pressure, moisture and viscosity sensors are used for monitoring the oil flow in a oil plant pipeline. Signal acquisition channels with signal amplification, a diverter switch for analog signals, and an A/D converter. The measurement result reflecting the situation of oil from the sensors will be transformed into electrical Mr.Aravindhan.R 1 Page 657

3 signal by this system. The signal will be transformed by the A/D converter and be magnified by the signal amplification. All the signals will be processed in the computer. Fig - 1: Existing system For evaluating the oil flow in a oil pipeline fuzzy logic is used. The management oil is decided by the temperature, pressure, moisture, and viscosity, and the particles in the oil. These factors can be used to evaluate the oil condition. On the assumption that the temperature, pressure, moisture, viscosity, and particles of oil are obtained, the situation of the oil could be obtained by the fuzzy logic. In this existing system, the ARM7 LPC2148 microcontroller along with the sensor is used to sense the oil flow in a oil plant pipeline. But the major drawback is because of using fuzzy logic its is difficult to measure the oil properties ie flow in the pipeline. 3.2 Proposed Work Fig - 2: Block Diagram Of Oil Flow Monitoring System The block diagram of the proposed system shown in Fig 2 In this system different types of sensors are used for monitoring the oil plant pipeline like viscosity sensor, Temperature sensor, Flow sensor, Ph sensor and colour sensor. Viscosity sensor and Ph sensor is used for finding the oil viscosity and Ph level of the liquid because by knowing the viscosity level and Ph of the oil we can able to find whether the oil is pure are impure. Temperature sensor is used to monitor the temperature in a pipeline if the temperature is above or below from predefined value it will cause severe damage to the system. Flow sensor is used for finding whether the oil is flowing or not in a pipeline. Block Diagram Zigbee Module Monitoring Station PC Fig - 3: Monitoring Station Fig 3 shows the block diagram of base station Here Zigbee module is used for data transmission from pipeline to monitoring station because in normal datas in pipeline cannot be monitored continuously Mr.Aravindhan.R 1 Page 658

4 it consumes more man power therefore for avoiding that problem zigbee module is used for data transmission from pipeline to monitoring station 4 HARDWARE 4.1 TEMPERATURE SENSOR Temperature sensor is used for measuring the temperature level of the oil in the oil pipeline. LM35 sensor is used for measuring the temperature. Range of LM35 is 55 C to 150 C and it can be easily installed for remote applications. 4.2 COLOUR SENSOR Colour sensor is used for detecting whether the oil containing impurities or not. It consists of RGB sensor chip, white LEDs, collimator lens. It plugs directly into the ARM7 LPC2148. The TCS230-DB can detect and measure a nearly limitless range of visible colors. The applications include test strip reading, sorting by color, ambient light sensing, calibration and color matching and it also consists array of photodetectors, each with either a red, green, or blue filter, or no filter (clear). The filters of each color are distributed evenly throughout the array to eliminate location bias among the colors. Internal to the device is an oscillator which produces a square-wave output whose frequency is proportional to the intensity of the chosen color. 4.3 ph SENSOR ph sensor is used for measuring the ph level of the oil in the oil pipeline. Range of ph sensor is ph 0 14and output of the sensor is 59.2 mv/ph at 25 C. 4.2 VISCOSITY SENSOR The Viscosity-Sensor tool for determination of viscosity in hydraulic and lubricating oils while determine the kinematic viscosity directly.range of viscosity sensor is mm2/s 5 SOFTWARE 4.1 NI LABVIEW EMBEDDED MODULE FOR ARM The LabVIEW Embedded Module for ARM Microcontrollers is a comprehensive graphical development environment for embedded design. This module seamlessly integrates the LabVIEW graphical development environment and ARM microcontrollers. You can lower development costs and achieve faster development times by using the Embedded Module for ARM Microcontrollers to program ARM targets. This module builds on NI LabVIEW Embedded technology, which facilitates dataflow graphical programming for embedded systems and includes hundreds of analysis and signal processing functions, integrated I/O, and an interactive debugging interface. With the Embedded Module for ARM Microcontrollers, you can view live front panel updates using JTAG, serial, or TCP/IP. The Embedded Module for ARM Microcontrollers generates C code from the LabVIEW block diagram, builds that code into an application using Keil μvision, and runs the application on ARM targets. 4.3 INSTALLING THE EMBEDDED MODULE FOR ARM MICROCONTROLLERS Complete the following steps to install the Embedded Module for ARM Microcontrollers. The Embedded Module for ARM Microcontrollers installer automatically installs LabVIEW if it is not already installed. The Embedded Module for ARM Microcontrollers also automatically installs the RealView Microcontroller Development Kit, which includes Keil μvision. Log in as an administrator or as a user with administrator privileges. Insert the NI LabVIEW Embedded Module for ARM Microcontrollers DVD. If the installer does not automatically begin, double-click autorun.exe on the DVD to begin installation. Select Install LabVIEW Embedded Module for ARM Microcontrollers. Mr.Aravindhan.R 1 Page 659

5 Follow the instructions on the screen for installing the Embedded Module for ARM Microcontrollers. Follow the activation instructions for the Embedded Module for ARM Microcontrollers that appear on the screen. Skip this step if you are evaluating the Embedded Module for ARM Microcontrollers. Restart the computer when the installer prompts you and log in as an administrator or as a user with administrator privileges. Activate the Keil μvision License ID Code (LIC). Complete the following steps to activate the LIC. Skip this step if you are evaluating the Embedded Module for ARM Microcontrollers Pure oil Colour sensor is used for detecting the oil purity level by using white LED s. In LabVIEW case structure is used for finding the characteristic of the oil. When the given oil example match with the normal set point then the oil flown in the pipeline is pure. 5. EXPERIMENTAL RESULT The prototype model consists of different types of sensors are integrated for measuring the parameters like temperature, viscosity, colour, ph of the oil, flowing through the pipeline. The physical characteristic of the oil is monitored continuously. The monitored data is transmitted from the pipeline to base station by using zigbee module. Figure-5: Pure oil flow through the pipeline If impure oil flow through pipeline If a pure oil flowed through the pipeline means case structure 2 runs then LCD display shows impure message. This impure message will be displayed when the oil meets with black set point structure as shown in figure shown in fig 6 Fig-4: Implementation of our Proposed Work Fig 4 Describes the LabVIEW circuit diagram for oil flow monitoring system for detecting the Temperature, Ph, Viscosity and colour of the oil, flowing in the oil pipeline. By using case structure, characteristic of the oil is identified. Figure-6: Impure oil flow through the pipeline If Normal oil flow through pipeline 5.1 Identifying the Purity Level Mr.Aravindhan.R 1 Page 660

6 And Technology ISSN /24 Pp [2] Ki-Sung Son et al (2011), Oil Leakage Monitoring System by using Image Processing 11th International Conference on Control, Automation and Systems Oct , 2011 in KINTEX, Gyeonggi-do, Korea. Figure-7: Normal oil flow through the pipeline If a normal without more impure oil flowed through the pipeline means case structure 3 runs then LCD display shows Normal message. This Normal message will be displayed when the oil meets with yellow colour set point structure as shown in figure shown in fig 7 6. CONCLUSIONS The proposed prototype of oil flow monitoring system detects the flow of oil in a pipeline and transmits the data to monitoring station. Oil s Temperature, Viscosity, Ph and colour of the oil is monitored continuously. If there is any change in the oil that will cause severe damage, data is transmitted to monitoring system continuously by using Zigbee module. If there is any major difference in the oil s property then by using flow control sensor the oil flow will be stopped in the pipeline. It is more economical and reliable oil flow monitoring systems which enhances safe transfer from one place to another place with less man power [3] Yan Xinping, Xie Youbai, Xiao Hanliang (2005), Development of oil monitoring and its tendency. China Mechanical Engineering,, 8(1): [4] Kun C., Chen Y.L (2005) Upgrading and visbreaking of super-heavy oil by catalytic aquathermolysis with aromatic sulfonic copper, Fuel Process. Technol., 104, pp [5] Brian Ochoa et al (2014), A New Sensor for Viscosity and Fluid Density Measurement for Oil Well Drilling Applications Sensoren und Messsysteme in Nürnberg [6] Chen Xinquan et al (2001). Multiple sensor s information collection and its online monitoring. Journal of Changsha University of Electric Power (Natural Science), 2001, 16(4): REFERENCE [1] GAO Huiliang et al (2004), Information Fusion of Online Oil Monitoring System Using Multiple Sensors Tsinghua Science Mr.Aravindhan.R 1 Page 661