A sensor network event fusion and decision method based on node reliability

A technology of sensor network and decision-making method, applied in the field of sensor network monitoring

Active Publication Date: 2019-03-29
HOHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] Purpose of the invention: In order to improve the decision-making accuracy and real-time performance of structural engineering operating conditions, the present invention provides a sensor network event fusion and decision-making method based on node reliability, and uses node reliability differences in the event classi...

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  • A sensor network event fusion and decision method based on node reliability
  • A sensor network event fusion and decision method based on node reliability
  • A sensor network event fusion and decision method based on node reliability

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Embodiment Construction

[0040] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0041] figure 1 A frame diagram of an example of a sensor network event fusion and decision-making method based on node reliability provided by the present invention is composed of a sensor network, an area proxy server, and a base station central server. The proxy server is deployed in the observation area to collect monitoring data of regional nodes, classify events and transmit the results to the base station. The central server fuses the event classification results to provide assistance for...

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Abstract

The invention discloses a sensor network event fusion and decision method based on node reliability. The sensor network is used to judge and decide the structural engineering operation conditions, including event classification and event decision fusion.. In the phase of event classification, the sensor network detects and classifies abnormal events in structural engineering, and reflects the changes of physical state in local area. Considering the reliability difference of nodes, the classification error can be reduced by cooperating with each other. In the event decision fusion stage: abnormal event level changes can reflect the operation state of the structure, and different event classification results are combined to evaluate and make decisions on the structural engineering conditions. Using event fusion model based on depth learning, data enhancement method is used to solve the problem of small training samples, update model parameters dynamically, and assist the evaluation of structural engineering operating conditions.

Description

technical field [0001] The invention relates to a sensor network event fusion and decision-making method based on node reliability, in particular to a sensor network for judging and decision-making of large-scale civil engineering, belonging to the field of sensor network monitoring. Background technique [0002] With the development of embedded sensing technology, large civil and structural projects (bridges, signal towers, dams, tunnels, etc.) are buried with a large number of sensors during the construction period and interconnected to form a sensor network to monitor physical quantities such as deformation, stress, strain, and displacement. The sensor network perceives changes in the physical quantities of structural engineering, detects the occurrence of abnormal events and determines the event category, and then fuses the event classification results based on professional models to judge the operating status of structural engineering. [0003] The evaluation of the ope...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04
CPCG06N3/04G06F18/25G06F18/24G06F18/214
Inventor 毛莺池程杨堃齐海刘凡平萍王龙宝
Owner HOHAI UNIV
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