Design and research of elevator guide rail alignment algorithm |
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Author | WuHong |
Tutor | XuZhiLiang |
School | Nanjing University of Technology and Engineering |
Course | Detection Technology and Automation |
Keywords | elevator guide rail automatic straightening machine straightening algorithm Knowledge Base |
CLC | TU857 |
Type | Master's thesis |
Year | 2013 |
Downloads | 20 |
Quotes | 0 |
The rapid development of the industry promotes the rapid development of the elevator guide rail. In order to make the elevator guide rail accuracy meet the requirements, guide rails generally need to pass the straightness detection and be straightened before they leave the factory. In order to increase the production efficiency and guide rail accuracy, it is necessary to develop high-efficiency guide rail automatic straightening equipment and design the high-efficiency straightening algorithm. This paper will discuss guide rail straightening algorithm.First of all,this paper provides the overall scheme design of high-efficiency guide rail automatic straightening machine, then on the basis of the overall scheme design,the paper provides specific analysis on detection process before straightening, correlative the straightness error parameter definition, straightening principle and straightening process design. The whole design controls the hardware equipment by means of MFC program design combined with the related multithreading technology, motion control technique, communication technology and database technology, then realizes the guide rail straightening by means of multiple spindle motion control chip, servo motor, laser sensor, hydraulic system and industrial control computer. The core content of the whole system is rail straightening algorithm design which includes choosing pressure points location and fulcrum positions before guide rail straightening and achieving descending distance. Then, the paper describes the improvements which root in the large quantities of data through the accumulation of guide rail straightening experience on the scene, including optimizing pressure point related parameters,repeated straightening and so on. At last, based on the results of the optimization, the system establishes guide rail straightening Knowledge Base which the computer can read and correct straightening results by means of a large number of accumulated straightening experience and database related technologies, then the system can realize intelligent and automation.