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Study of MSDF Application in Network Monitor System for Mountainous Urban Drainage Pipeline

Author: DuanJun
Tutor: WangBo
School: Chongqing University
Course: Applied Computer Technology
Keywords: Data Fusion Drainage network Monitoring system Kalman D - S evidence theory
CLC: TP274
Type: Master's thesis
Year: 2010
Downloads: 52
Quote: 0
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Abstract


Protection of the safe operation of urban drainage network necessary for comprehensive monitoring of the drainage network. Mountain complex urban terrain, special geological structure, frequent natural geological disasters of landslide, mountain collapse, these geological disasters may cause rupture of drainage pipe network, sewage leak may cause serious pollution and destruction of the urban environment, therefore, in the mountain city establish the main geological disaster monitoring, the drainage network monitoring system is very necessary. More types of disaster-monitoring sensors, in order to reduce energy consumption and improve monitoring accuracy, the needs of all types of information collected by the drainage network and multi-sensor data fusion (MSDF: Multi-sensor Data Fusion). MSDF technology research focus at home and abroad, applied research has much room for development. More successful at home and abroad geological disaster monitoring system for monitoring network processing to reduce the traffic, did not geological disasters sensor multi-sensor data fusion to improve monitoring accuracy. Peri-urban drainage network monitoring of large and medium-sized mountain area range ZigBee wireless sensor networks combined with GPRS monitoring, research MSDF technology as well as the MSDF classification and model design for wireless data transmission, mountain urban drainage network monitoring MSDF model system to establish a two-tier data fusion model layer is similar sensor data fusion, and another layer of heterogeneous sensor data fusion. Similar sensor data fusion first preprocessing the data from each sensor monitoring, data delete selected and abnormal points processing, reduce unnecessary network transmission, uplinking data using a Kalman filter state prediction estimates; then the monitoring area within different locations of similar sensor using the the design weighted Kalman filtering centralized data fusion, a comprehensive estimate of the entire monitoring regional monitoring objectives, to reduce the transmission of wireless sensor networks to improve the accuracy of the monitoring system. Complementary information between heterogeneous sensors to collect data and design based on the weight DS evidence theory algorithm to achieve a comprehensive analysis of a variety of heterogeneous sensor data to the safe operation of the drainage network monitoring objectives heterogeneous sensor data fusion by fuzzy comprehensive evaluation and based on the weight DS evidence theory algorithm experimental results verify the effectiveness of the algorithm; DS evidence theory distance through feature-based algorithm to achieve monitoring objectives are conflicting data fusion processing the drainage network monitoring heterogeneous sensor data, to improve monitoring accuracy, conflict prevention The data on the impact of the final results of the monitoring, to improve the reliability of the final decision of the monitoring system. MSDF model designed mountain city drainage network monitoring system, the similar sensor fusion algorithms and heterogeneous sensor fusion algorithm, this research is verified by experimental data MSDF algorithm reached the mountain urban drainage network monitoring system serve to reduce network traffic transmission and energy consumption, and improve the accuracy of the monitoring system.

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Data processing, data processing system
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