A multi-sensor data fusion early warning method for transmission line tower monitoring
A transmission line and multi-sensor technology, applied in the early warning field of transmission line tower monitoring, can solve problems such as poor real-time performance, poor stability, and low reliability
Active Publication Date: 2016-06-29
杭州银江智慧城市技术集团有限公司
View PDF7 Cites 0 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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
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
Login to View More Abstract
A multi-sensor data fusion early warning method for transmission line tower monitoring, comprising the following steps: 1) Real-time acquisition of current transmission line parameters of detection sensors; 2) Level 1 BP neural network fusion, 2.1) Single detection sensor fault monitoring: using BP network Establish a detection sensor output sequence prediction model, assuming that the observed sensor output samples at n time points are x(1), x(2), x(3),..., x(n), predict the sensor output value at time n+1 ; 2.2) The BP neural network of a single detection sensor fuses time data; 2.3) Normalizes the input signal; 2.4) Feature layer fusion recognition; 3) Secondary D-S evidence theory fusion, the output of the BP neural network is in the The value between is taken as the basic probability after processing as the evidence of the D-S evidence theory, and the risk level is obtained. The invention has good stability, high reliability and good 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
Login to View More Patent Type & Authority Patents(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