Monitoring System Of Oil Fields Security

For a long time,it is possible to make the thief organic,causing great loss to our country,because of the extensive and numerous distribution of oil Wells.To prevent the theft of oil and equipment from the theft of oil and equipment is an urgent problem to be solved.According to the main pilferage of crude oil in tianjin dagang oilfield,a new type of anti-theft monitoring system is proposed to meet the urgent needs of oil fields.Therefore,in the monitoring and alarm system,the system adopts the thermal emission infrared sensor as the front-end alarm trigger unit,and the video filming monitoring is conducted with the camera.In the absence of alarm triggering,video collection and transmission is not performed,and communication costs are saved.Field used alarm trigger monitor with a combination of video acquisition,in PC software part,the acquisition of image processing,face detection method based on genetic algorithm can better realize the face detection function,alarm when detecting the human face,and through the GPRS network will alert signal sent to the security personnel mobile phone,achieve real-time alarm.During the study are mainly on site monitoring terminal unit of the hardware and software design which has realized the alarm trigger unit control of the scene,the camera acquisition control,data collection,field instruments to collect data sending and the introduction of communication agreement;Monitoring software in the background section,realizing the collection of images and will face detection method based on genetic algorithm and image processing are to parse and do show data from the field and then the received data is to the background for storage and export.Designing a safe,reliable and efficient oilfield system,security monitoring of oil field production safety is of great significance and practical value,but also for unattended project can be drawn lessons from for the system development experience and combined with the subsequent detailed study of image detection algorithm,it is believed that its developing prospect is extremely broad.