Optimization design of electric control system for 6.25m stamp charging coke oven dedusting station

Author(s):  
Linlin Xu ◽  
Yuhan Su
2013 ◽  
Vol 706-708 ◽  
pp. 716-719
Author(s):  
Jian Chu ◽  
Gang Wang

This paper mainly introduced to the PLC as the core of stainless steel composite plate electric control part of the design. The system uses the converter +PLC+ man-machine interface, as the major part of roll welding machine control, because of the use of the PLC, so that the system can improve the automatic level, electrical components is reduced, reduce failure rate, improve the reliability of equipment operation. Based on the current control and speed control, so that the welding quality and welding speed has been greatly improved. In the article, mainly from the production process, and the control system hardware and software design, and the control scheme to introduce several aspects.


1997 ◽  
Vol 30 (9) ◽  
pp. 97-102
Author(s):  
Satoru Nunokawa ◽  
Toshiaki Itoh ◽  
Osamu Suenaga ◽  
Tohru katayama

2013 ◽  
Vol 397-400 ◽  
pp. 1214-1219
Author(s):  
Xia Bai ◽  
Da Lu Guan ◽  
Chen Rui

This paper combines hardware reliability and software mobility with modern intelligent control through the analysis of the control object using intelligent decoupling control scheme to control the pressure control system of the large gas collector in coke oven. By using expert control strategies based on the DCS, the paper develops the system design which is versatile and effective.


Author(s):  
Toshiaki ITOH ◽  
Satoru NUNOKAWA ◽  
Osamu SUENAGA ◽  
Tohru KATAYAMA

Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 536
Author(s):  
Ying Zang ◽  
Shibo Meng ◽  
Lian Hu ◽  
Xiwen Luo ◽  
Runmao Zhao ◽  
...  

The elevation detection accuracy of the laser receiver in the laser levelling control system directly affects land-levelling operations. To effectively improve the effect of levelling operations and meet the requirements for the accuracy of elevation detection in different industries, this study optimization designed a multilevel adjustable laser receiver. First, we examined the laser signal detection technology and processing circuit, designed the photoelectric conversion array for the detection of the rotating laser, and converted it into a photocurrent signal. We also designed the filter, amplifier, and shaping and stretching circuits for analogue-to-digital conversion of the photocurrent signal. The digital signal was calculated based on the deviation of the elevation by using a microprocessor and was output by a controller area network (CAN) bus. The laser beam spot diameter transmission and diffusion were then studied, and with the detectable spot diameters were compared and analyzed. Accordingly, an algorithm was proposed to calculate the deviation of laser receiver elevation. The resolution of the elevation deviation was set to ±3 mm; however, this value could be adjusted to ±6 mm, ±9 mm, ±12 mm, and ±15 mm, according to the requirements. Finally, the laser receiver was tested and analyzed, and the test results of the elevation detection accuracy showed that when the laser receiver was within a radius of 90 m, the elevation detection accuracy was within the ±3 mm range. The outcomes of the farmland-levelling test showed that the standard deviation S d of the field surface decreased from 9.54 cm before levelling to 2.42 cm after levelling, and the percentage of sampling points associated with absolute errors of ≤3 cm was 84.06%. These outcomes meet the requirements of high-standard farmland construction. The test results of concrete levelling showed that within a radius of 30 m, the standard deviation S d of the elevation adjustment of the left laser receiver was 1.389 mm, and the standard deviation S d of the elevation adjustment of the right laser receiver was 1.316 mm. Furthermore, the percentage of the sampling points associated with absolute elevation adjustment errors of ≤3 mm in the cases of the two laser receivers was 100% after levelling, whereas the standard deviation S d of the sand bed surface was 0.881 mm. Additionally, the percentage of the sampling points associated with absolute errors of ≤3 mm was 100%. This met the construction standards of the concrete industry.


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