Multi-sensor data fusion early warning method for monitoring electric transmission line tower

A transmission line, multi-sensor technology, applied in the field of early warning of transmission line tower monitoring, can solve the problems of poor real-time performance, poor reliability, poor stability, etc.

Active Publication Date: 2014-02-05
杭州银江智慧城市技术集团有限公司
View PDF7 Cites 51 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the shortcomings of poor stability, low reliability, and poor real-time performance of the existing early warning methods for tower monitoring of transmission lines, the present invention provides a tower monitoring system with good stability, high reliability, and good real-time performance. multi-sensor data fusion early warning method

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-sensor data fusion early warning method for monitoring electric transmission line tower
  • Multi-sensor data fusion early warning method for monitoring electric transmission line tower
  • Multi-sensor data fusion early warning method for monitoring electric transmission line tower

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] The present invention will be further described below in conjunction with the accompanying drawings.

[0053] refer to Figure 1 to Figure 7 , a multi-sensor data fusion early warning method for transmission line tower monitoring, the early warning method includes the following steps:

[0054] 1) Installing detection sensors on the transmission line towers to detect n transmission line parameters, where n is a natural number greater than or equal to 5; obtaining the current transmission line parameters of the detection sensors in real time;

[0055] 2) One-level BP neural network fusion, as follows:

[0056] 2.1) Single detection sensor fault monitoring: use BP network to establish a detection sensor output sequence prediction model, assuming that the observed sensor output samples at t time points are x(1), x(2), x(3), ..., x( t), predict the sensor output value at time t+1 The specific process is as follows:

[0057] 2.1.1) Training of BP neural network: The data...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

A multi-sensor data fusion early warning method for monitoring an electric transmission line tower comprises the following steps that 1) current electric transmission line parameters of detection sensors are obtained in real time; 2) first-class BP neural networks are fused; 3) second-class D-S evidence theories are fused, output of the BP neural networks is evaluated between 0 and 1 and processed to be elementary probabilities to serve as evidences of the D-S evidence theories, and danger classes are obtained. According to the second step, 2.1) fault monitoring is carried out on a single detection sensor: a BP network is adopted to construct a detection sensor output sequence predication model, and assuming n time output samples of the observed sensors as x(1), x(2), x(3),..., x (n), (n+1) time sensor output values are predicted; 2.2) the BP neural network of each detection sensor carries out time data fusion; 2.3) input signals are normalized; 2.4) fusion identification is carried out on characteristic layers. The multi-sensor data fusion early warning method is good in stability, high in reliability and good in real-time performance.

Description

technical field [0001] The invention relates to the field of power transmission line safety monitoring, in particular to an early warning method for power transmission line tower monitoring. Background technique [0002] In recent years, with the rapid development of our country's economy, the rural areas are increasingly urbanized, and the cities are increasingly urbanized. The annual civil electricity consumption in our country is growing explosively. The rapid expansion of high and low voltage transmission lines has brought contradictory problems. On the one hand, the transmission lines Extravagance allows urban residents to live far away from the commercial center of the urban area, reducing the excessive concentration of urban population. On the other hand, there are many electric poles, especially on both sides of the traffic road, which are easily damaged by traffic vehicles and pedestrians due to traffic accidents, resulting in The interruption of transmission lines ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01D21/02G06N3/08
Inventor 张标标乐宇日杨彦兵吴俊宏王毅王辉
Owner 杭州银江智慧城市技术集团有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products