The Research And Implementation Of Oil And Water Wells Wreless Sensor Networks

China's current oil production of oil wells data collection basically collected by artificialevery day, then reports the result, every oil extraction plant Scope require specializedpersonnel to collect and record the daily production data, and each measurement station dataaggregated to the data members of a unified database manually upload. This traditional modeof production has been unable to meet the increased efficiency of oilfield production and realtimecondition monitoring of oil wells in production requirements. Based on this kind ofproduction status, proposed the oilfield production systems wireless sensor networks. Smartwireless data acquisition and transmission means to replace manual data collection statisticalmethods to improve oil production efficiency, it becomes very necessary.With various types of sensors, wireless sensor networks can real-time monitor, sense andacquire the environment information of the distribution network or object through wirelessnetwork. The research and development of oil and water wells wireless sensor network,including sensor node, control node, sink node, the establishment of oil and water wellswireless network monitoring and control system, deployment of oil and water wellsinformation collection and transmission and self-organizing intelligent control have asignificant effect on the substantial increase in oil and water wells per unit area of labor andresource productivity. Thus it could help to achieve oil and water wells production of biosustainabledevelopment and increase the production capacity and integrated level.As a oil and water wells wireless sensor network communications hub, sink node is notonly in charge of receiving the sensor data from sensor nodes and also to carry out effectiveinformation fusion. When the parameters of the environment beyond the scope of thethreshold, sink node would send instructions to control the related equipment, at the sametime trigger alarm mechanism. Therefore, the sink node is an important issue of oil and waterwells wireless sensor networks research. In this paper, based on establishment of a multi-nodewireless sensor networks it made research and design of sink node in these aspects: hardware,data integration technology and software systems:1. Based on the entire oil and water wells environment and the requirement of thesystem, as well as the embedded platform with good data processing and scalable,which is able to deal with the complexity of the oil and water wells environmentparameters, this article used LPC2131 ARM7 embedded systems, CC2430 the Zigbee wireless communication module and MC55i the GPRS wirelesscommunication module in the process of hardware design. According to the systemrequirements, this article set every part of ports and pin, designed the framework ofhardware. Thus the sink node can collect and process environmental parametersinformation and send and receive data and instructions through the wireless network;2. According to the practical requirements and the experimental establishment of thevarious parameters of oil and water wells correlation between the models, includingthe various components of the oil and water wells environment the sink node systemwith the adaptive Kalman filter data fusion algorithm in lower layer to reduce energyconsumption and network data-processing conflict, with the decision-making levelof information integration methods based on the theory of fuzzy in upper layerwithin alarm and control mechanism. The algorithm can effectively reduce thepower consumption of networks and conflict information, and effective access touseful information, decision-making and control. Performance analysis shows thatthe algorithm is effective and reliable;3. Design of software system included port initialization settings of the LPC2131processor and Zigbee, GPRS communications module, the software systemarchitecture and achievement of the main program. Through extraction of oil andwater wells environment parameters of the expert knowledge library, the softwaresystem can real-time analysis the data received from sensor nodes to estimatewhether they are accord with requirements of oil and water wells environment, andestablish a mechanism to control and alarm to control relevant equipment and sendalarm signal.