Intelligent Temperature Control of Ceramic Kiln Based on Data Fusion Technology

2011 ◽  
Vol 128-129 ◽  
pp. 177-180
Author(s):  
Yong Hong Zhu ◽  
Jun Wan
Keyword(s):  
Control System ◽  
Data Fusion ◽  
Temperature Control ◽  
Intelligent Control ◽  
Sensor Data ◽  
Temperature Control System ◽  
Fusion Method ◽  
Fusion Technology ◽  
Multi Sensor Data Fusion ◽  
Kiln Temperature

At first, according to the feature of ceramic kiln, this paper studies a fundamental data fusion method which is applied to ceramic kiln temperature control system. This method is used to solve the parameter estimation problem in measurement noise environment. Then, it proposes a kind of intelligent control structure of ceramic kiln temperature control system based on multi-sensor data fusion technology. At last, this data fusion method is applied to intelligent temperature control system of ceramic kiln. The result shows that the method proposed is effective and feasible.

A Method for the Temperature Measurement of PCR Instrument Based on Multi-Sensor Data Fusion

2012 ◽  
Vol 462 ◽  
pp. 624-630
Author(s):  
Rong Rui Fang ◽  
Sheng Hu Xue ◽  
Zi Hong Ye ◽  
Xiao Ping Yu
Keyword(s):  
Data Fusion ◽  
Mean Value ◽  
Sensor Data ◽  
Fusion Method ◽  
Sampled Data ◽  
Fusion Technology ◽  
Weighted Mean ◽  
Real Time Quantitative Pcr ◽  
Multi Sensor Data Fusion ◽  
Sensor Detection

Method based on multi-sensor detection and data fusion technology is proposed for the temperature of real-time quantitative PCR reaction samples .The principle of Grubbs is used to eliminate the careless mistake data. Particularly, the fusion method based on weighted mean value and estimation in batches is used to process the sampled data, which gives error of indication. And then we can revise indication values.

Identification of Freshwater Fish Meat Freshness Based on Multi-Sensor Fusion Technology

2013 ◽  
Vol 303-306 ◽  
pp. 912-917
Author(s):  
Xiao Jing Yang ◽  
Zheng Hu Yan
Keyword(s):  
Data Fusion ◽  
Freshwater Fish ◽  
Sensor Fusion ◽  
Fuzzy Theory ◽  
Sensor Data ◽  
Fusion Method ◽  
Fusion Technology ◽  
Standard Samples ◽  
Fish Meat ◽  
Multi Sensor Data Fusion

In order to explore the application of multi-sensor fusion technology in nondestructive testing of agricultural products and develop new detection methods for agriculture, multi-sensor information fusion technology are performed to identify freshness of freshwater fish meat. Different freshness of grass carp specimens were identified by multi-sensor fusion method which three characteristic data that are PH value, conductance and smell were measured, collected, and then fused by fuzzy theory method. During the experiment process the value of the total volatile basic nitrogen (TVB-N) of standard samples and test samples were measured. The freshness standard was established by the TVB-N value of standard samples. Correctness of the results of multi-sensor data fusion was verified by comparing the TVB-N value of the test samples with the freshness standard. The results show that the freshwater fish meat with different freshness can be identified correctly by multi-sensor data fusion method which is fuzzy theory and the accuracy rate is 94%.

The Design of Spectrometer Detection and Control System Based on C8051F350

2012 ◽  
Vol 190-191 ◽  
pp. 1191-1194
Author(s):  
Yuan Yuan Zhao ◽  
Jie Sun
Keyword(s):  
Control System ◽  
Data Fusion ◽  
Detection System ◽  
Sensor Data ◽  
Serial Port ◽  
Fusion Technology ◽  
Photoelectric Detection ◽  
Multi Sensor Data Fusion ◽  
Spectrometer System ◽  
And Control

This paper designed a photoelectric detection system based on C8051F350 , which can be used in the grating spectrometer system. Aiming at traditional detecing methods, this paper puts forward a multi sensor data fusion technology which can fuse detecting data from multi photomultipliers. It has very strong practicability that detection data can be transmit to the computer through the serial port to draw curve of spectrum.

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.

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