Design of Intelligent Meteorological System Based on MEMS

2014 ◽  
Vol 609-610 ◽  
pp. 801-806
Author(s):  
Hao Wang ◽  
Meng Nie ◽  
Qing An Huang
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Temperature Sensor ◽  
Humidity Sensor ◽  
Sensor Data ◽  
Weather Station ◽  
Mems Sensors ◽  
Intelligent Control System ◽  
Speed Sensor ◽  
Multiple Sensor

Intelligent weather station system based on MEMS sensors is designed. The automatic meteorological system includes a MEMS temperature sensor, MEMS humidity sensor, MEMS pressure sensor, MEMS wind speed sensor and the sensor intelligent control system, etc. The intelligent control system has functions such as precise timing, multiple sensor data automatic acquisition, storage and uploading, which realizes the intelligent control of this weather station system.

An Intelligent Control System of Candy Production Process

2011 ◽  
Vol 282-283 ◽  
pp. 658-661
Author(s):  
Jia Liang Zhang ◽  
Bei Zhi Li ◽  
Jian Guo Yang ◽  
Han Yan Chen
Keyword(s):  
Control System ◽  
Production Process ◽  
Intelligent Control ◽  
Virtual Instrument ◽  
Production Efficiency ◽  
Sensor Data ◽  
Process Data ◽  
Increase Production Efficiency ◽  
Intelligent Control System ◽  
Multi Sensor Data Fusion

Candy production processes involve many process variables. Operators often find it difficult to effectively monitor the process data, analyze current states, detect and diagnose process anomalies, and take appropriate actions to control the processes. The objective of this work is to develop an intelligent control system of candy production process to improve final candy quality and to increase production efficiency with good human-machine interfaces. The study is conducted by using virtual instrument, multi-sensor data fusion and fuzzy control technology to online detect and control typical parameters. Experiment results show that this system can reach requirements of processing accuracy and real-time property and is highly cost-efficient and practical.

Digital twin of the chip formation process

2020 ◽  
pp. 81-86
Author(s):  
Yu.G. Kabaldin ◽  
D.A. Shatagin ◽  
M.S. Anosov ◽  
A.M. Kuz'mishina
Keyword(s):  
Neural Network ◽  
Control System ◽  
Crystal Lattice ◽  
Network Model ◽  
Intelligent Control ◽  
Neural Network Model ◽  
Formation Process ◽  
Chip Formation ◽  
Intelligent Control System ◽  
The Relationship

The formation of chips during the processing of various materials was studied. The relationship between the type of chips, the type of crystal lattice of the material and the number of sliding systems is shown. A neural network model of chip formation is developed, which allows predicting the type of chips. An intelligent control system for the process of chip formation during cutting is proposed. Keywords: chip formation, crystal lattice, neural network model, type of chips. [email protected]

Sign in / Sign up

Export Citation Format

Share Document