STRUCTURE AND STAGES OF CONSTRUCTION OF AUTOMATED ELECTRICAL CONTROL SYSTEM WITHIN REGIONAL NETWORK COMPANY

Author(s):  
B.A. Staroverov ◽  
A.E. Mozohin
2013 ◽  
Vol 273 ◽  
pp. 3-7
Author(s):  
Jin Xian Yang ◽  
Xing Jie Li

More and more LCNG fueling stations being built in several cities of China, it brings some problems on safety ensuring, rapidly constructing, cost saving, stable controlling, convenient moving. According to the requirements of the technological process, a kind of skid-mounted LCNG (Liquefied Compressed Natural Gas-engines) fueling station is designed. The station integrates those main equipments, such as LNG cryogenic pump, LNG vaporizer, and electrical control cabinet. Using a touch screen with a PLC in the electrical control cabinet, and it is an easy and less cost way to discharging the field controlling. The control system structure and the software are also designed for stable controlling. Compared to traditional CNG fueling station, it can be less land consumption, low construction cost, easily moving, and the skid-mounted LCNG fueling station has very wide application foreground.


2015 ◽  
Vol 713-715 ◽  
pp. 539-543
Author(s):  
Yong Zhao ◽  
Xiao Qiang Yang ◽  
Yin Hua Xu ◽  
Jian Bin Li

The fault diagnosis of electrical control system of certain type mine sweeping vehicle is difficult due to its complex structure and advanced technique. So in the multi-sensor failure diagnosis process, as a result of various reasons, such as the existence of measurement noise, diagnosis knowledge incomplete and so on, it makes the fault diagnosis uncertainty and affects the reliability and the accuracy of the diagnosis result. This article according to the analysis of electrical control system's fault characteristic of the mine sweeping plough’s, proposes a technique based on data fusion fault diagnosis method. The diagnosis process is divided into the sub system and the system-level, the subsystem uses the BP neural network to classify the fault mode, the system-level uses the D-S evidence theory carries on the comprehensive decision judgment for the whole system's fault. Application shows if some sub-neural network diagnosis has error, using D-S evidence theory fusion can effectively improve the accuracy of diagnosis.


2021 ◽  
Vol 2066 (1) ◽  
pp. 012057
Author(s):  
Nan Li

Abstract Artificial intelligence technology (A I T) has also been widely used in society. Combining A I T with mechanical and electrical control systems will bring huge profits to the corporate sector and greatly improve work efficiency. It can save a lot of money in the electrical control operations of all walks of life in the country, and fill the gap in this technology in the country. The purpose of this article is to study the application of A I T in mechanical electrical control systems (M E C S). This article first introduces the basic theories and concepts of A I T, extends the core technology of A I T, and combines the current status of the electrical control system of modern enterprises in our country to discuss its existing problems, and finally studies and analyzes A I T and machinery. Combination of electrical control systems, and discuss the application of A I T in mechanical electrical orifice subsystems. Experiments show that, compared with the existing M E C S, the M E C S using A I T can better complete the work and improve work efficiency.


Metallurgist ◽  
1978 ◽  
Vol 22 (2) ◽  
pp. 121-123
Author(s):  
I. S. Volovik ◽  
Yu. S. Efremov ◽  
T. G. Pal'chunova ◽  
L. M. Shal'man ◽  
A. G. Kartshevskii ◽  
...  

2015 ◽  
Vol 713-715 ◽  
pp. 863-866
Author(s):  
Guang Yue Yang ◽  
San Peng Deng ◽  
Yu Ming Qi

With the continuous development of milling machine, the normal milling machine was not suitable with modern processing. In order to adapt to the requirements of modern production process and quality, the electrical control system of milling machine need be improved. The electrical control system and circuit of X62W milling machine is analyzed and designed. The PLC program is compiled. All of it is proved to be reasonably and feasibly based on the experimental results.


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