Research of Intelligent Control System for Fish-Farming

2013 ◽  
Vol 303-306 ◽  
pp. 1200-1203 ◽  
Author(s):  
Yong Liang Wang ◽  
Chao Sheng Mai ◽  
Zhi Liang Chen ◽  
Qi Song ◽  
Zi Han Chen ◽  
...  

Used Atmega 8 microcontroller as the control center, with the temperature sensor DS18B20, feeding control system, combined with radio frequency technology, intelligent control system for fish-farming was designed. The system has the whole process of intelligent automatic control and testing for feeding, supplemental oxygen, and PID temperature regulation; PC and the host processor connect each other through the RS-485 to greatly improve the transmission distance, using CRC cyclic redundancy check code ensure the accuracy of data. The machine is mainly responsible for collecting the spot parameters such as temperature and transmitting the data to the host processor, and send data to PC by the host processor through the serial port to display. Using GSM short message service directly sends the relevant data to the console or the owner of the mobile phone, so as to realize the entire fish process automation management. The system can be widely used in families, and pond pisciculture, and provides the owners efficient and convenient services.

2013 ◽  
Vol 441 ◽  
pp. 783-787 ◽  
Author(s):  
Yong Tao Wang ◽  
He Xi Zhang ◽  
Jia Chun Li ◽  
Yan Ying Wu

This paper developed a intelligent control system that can fertigate according to crops’ requirements. At first, the overall composition of this system was expounded. It used kingview 6.55 and measurement and control center software as the development platform, and HORNER OCS as the core controller, and it constructed agricultural fertigation control system. The communication module is GPRS DTU, and the system pressure adjustment was achieved by frequency converter. Secondly, related technology such as communication protocol, port mapping, dynamic DNS and peanut shells software was introduced. The system software development, database design and public based on the Internet was completed. The system test results show that the system was fully function, stable running, and met actual demand of water and fertilizer management in agriculture.


2020 ◽  
pp. 81-86
Author(s):  
Yu.G. Kabaldin ◽  
D.A. Shatagin ◽  
M.S. Anosov ◽  
A.M. Kuz'mishina

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]


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