5G and Artificial Intelligence with Multi-Sensor Data Fusion Technology Support Intelligent Operation Monitoring of Power Grid in the Future

2020 ◽  
Author(s):  
Miao Li ◽  
Jing Wang
Keyword(s):  
Artificial Intelligence ◽  
Data Fusion ◽  
Power Grid ◽  
Sensor Data ◽  
Technology Support ◽  
Fusion Technology ◽  
Sensor Data Fusion ◽  
Multi Sensor Data Fusion ◽  
The Future

scholarly journals Application of Artificial Intelligence Detection System Based on Multi-sensor Data Fusion

2018 ◽  
Vol 14 (06) ◽  
pp. 31 ◽  
Author(s):  
Meifang Han
Keyword(s):  
Artificial Intelligence ◽  
Data Fusion ◽  
Obstacle Avoidance ◽  
Detection System ◽  
Sensor Data ◽  
Vehicle Navigation ◽  
Fusion Technology ◽  
Unmanned Vehicle ◽  
Sensor Data Fusion ◽  
Multi Sensor Data Fusion

<p class="0abstract"><span lang="EN-US">Aiming at <a name="_Hlk508710819"></a>solving </span><span lang="EN-US">the navigation and obstacle avoidance of the unmanned vehicle</span><span lang="EN-US">,</span><span lang="EN-US">the multi sensor data fusion technology</span><span lang="EN-US"> and</span><span lang="EN-US"> unmanned vehicle obstacle avoidance navigation algorithm </span><span lang="EN-US">were</span><span lang="EN-US"> studied</span><span lang="EN-US"> profoundly. A</span><span lang="EN-US">ccording to the requirements of the application of unmanned vehicle navigation and obstacle avoidance system, multi</span><span lang="EN-US">sensor data fusion technology </span><span lang="EN-US">wa</span><span lang="EN-US">s applied to unmanned vehicle navigation and obstacle avoidance control system</span><span lang="EN-US">. In addition,</span><span lang="EN-US"> A*VFF navigation and obstacle avoidance algorithm </span><span lang="EN-US">based on</span><span lang="EN-US"> fuzzy neural network</span><span lang="EN-US"> was</span><span lang="EN-US"> improved</span><span lang="EN-US">. F</span><span lang="EN-US">inally</span><span lang="EN-US">,</span><span lang="EN-US"> through the construction of the simulation platform, simulation experiment</span><span lang="EN-US"> of</span><span lang="EN-US"> the unmanned vehicle obstacle avoidance navigation </span><span lang="EN-US">was </span><span lang="EN-US">completed, </span><span lang="EN-US">and</span><span lang="EN-US"> a better route</span><span lang="EN-US"> was planned for </span><span lang="EN-US">unmanned vehicl</span><span lang="EN-US">e</span><span lang="EN-US"> in a more complex environment</span><span lang="EN-US">. The results showed that it</span><span lang="EN-US"> realize</span><span lang="EN-US">d</span><span lang="EN-US"> the autonomous navigation of unmanned vehicle and obstacle avoidance function. </span><span lang="EN-US">Based on the above findings, it is concluded that the application of artificial intelligence detection system has good performance.</span></p>

Research of Dynamic Weighing System Based on Multi-Sensor Data Fusion Technology

2013 ◽  
Vol 721 ◽  
pp. 479-482 ◽  
Author(s):  
Yan Xia Wang ◽  
Chun Hui Bao ◽  
Chun Ling Fan
Keyword(s):  
Data Fusion ◽  
Electromagnetic Interference ◽  
New Method ◽  
Sensor Data ◽  
Fusion Technology ◽  
Sensor Data Fusion ◽  
Multi Sensor Data Fusion ◽  
Load Cells ◽  
Noise Vibration ◽  
Dynamic Weighing

The multi-sensor data fusion techniques is discussed in dynamic weighing system based on the data measured from ultrasonic sensors, speed sensors, capacitive sensors and load cells. This new method can greatly increase the measure precision of the dynamic weighing systems, at the same time it can effectively reduce noise, vibration, electromagnetic interference and other environmental factors on the influence of dynamic weighing system measurement. Judging from the simulation result, this new method proves to be more accurate and stable than ordinary processing methods.

Study on Leak Detecting System for Oil Pipeline Based on Multi-Sensor Data Fusion Technique

2012 ◽  
Vol 220-223 ◽  
pp. 1898-1901
Author(s):  
Jie Zhang ◽  
Xiao Wang ◽  
Zhen Zhao
Keyword(s):  
Wavelet Transform ◽  
Data Fusion ◽  
Real Time ◽  
Sensor Data ◽  
Time Signal ◽  
Fusion Technology ◽  
Transform Method ◽  
Oil Pipeline ◽  
Sensor Data Fusion ◽  
Multi Sensor Data Fusion

In this paper, based on the wavelet transform method, the multi-sensor data fusion technology is adopted to solve some key problems in pipeline leak detection system. Compared with the traditional filtering method, the wavelet transform method can better remove the pipeline leakage signal noise. When the corresponding wavelet is selected, after FPGA realized, the method has the advantages of fast speed, arbitrarily data width set, which can better meet the needs of real-time signal processing requirements of pipeline leak. At the same time, VHDL language has the characteristics of portability, greater generality. When multi-sensor fusion technology is used in the paper, the relation, correlation, estimation and integrated processing is done in turn to the information from multiple data sources, the system can achieve better detection performance than a system using the single sensor, so as to form a more complete, reliable pipeline real time detecting conclusion.

Sign in / Sign up

Export Citation Format

Share Document