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Steel rolling observation system has played a key role in safe operation, accident prevention as well as maintenance of equipment; and has achieved remarkable economic and social benefits. At present ,there are many types of monitoring system for Steel rolling at home and abroad, with the development of computer hardware and software technology, the User demand the higher level of reliability, compatibility, scalability and software cycle for it.This article has studied the domestic and foreign rolling mill condition observation system’s trend of development, designed a monitoring system combined with the Virtual Instrument technology and computer network technology, has the function of real-time acquisition, storage, playback, time-domain, frequency domain, time-frequency domain analysis, and has done the deep research to this system’s application under local area network environment.This paper contains five major parts.The first part is the outline, introduced the steel rolling observation system’s significance to the steel and iron industry, and the shortcomings and insufficiency of traditional rolling mill monitor method. Concise introduced domestic and foreign rolling mill observation system’s development process and trend of development, educed the concept of virtual instrument design and the development platform for virtual instrument LabVIEW(Laboratory Virtual Instrument Engineering Workbench), and introduced the advantage of monitoring system based on virtual instrument; introduced this article need to be done.The second part introduced the overall hardware design plan, uses network, the distributed architecture, using one computer to the data acquisition, the other computer to complete the storage and analysis the condition data, and using the network to connect the two types of computer, introduced the sensors, signal conditioning module, and introduced the Data Acquisition Card usb-6009 to acquire vibration data.The third part and the fourth part is the paper’s key point, the third part is the introduction of software as well as the implementation of the theoretical research; Part IV introduced the software design method in LabVIEW environment. Part III and Part IV supplement each other, completed following five research and design.(1)Data acquisition: The third part of article introduced the data continuous acquisition plan, real-time data storage, data pre-processing methods, with the corresponding part in fourth to achieve the above software design procedure.(2)Anti-jamming parts: the third part of the article describes the hardware anti-jamming measures, proposed two software anti jamming plan emphatically, the digital filtering as well as the wavelet noise reduction; Introduced the five kind of commonly used digital IIR filter’s characters as well as the wavelet noise reduction theory; In the fourth part of article, introduced the digital filter’s design method as well as their respective filter effect in the LabVIEW environment; introduced the Wavelet De-noising method with LabVIEW and the MATLAB mix programming.(3)Signal analysis theory and the realization of signal acquisition and analysis. The third part of the article introduced the concept and formula for the signal analysis in time domain, frequency domain and time-frequency domain. In the fourth part, introduced the program realization of corresponding analysis in LabVIEW. Take the sound signal as the gathering object, introduced the result of data acquisition part and data analysis part. In the acquisition part, introduced the data acquisition software interface and its real-time data and database data storage charts and so on; In the analysis software, introduced a data analysis station interface, the completion of Dynamic playback, playback of static, time-domain statistics, the result chart of auto-correlation, cross correlation, the amplitude spectrum, phase spectrum, auto power spectrum, cross-power spectrum, cepstrum, detailed spectrum, short-time Fourier transform and Wavelet Singularity analysis.(4)The database access technology in LabVIEW. In the third part of the article, introduced several ways to access the database in LabVIEW and determined using the LabSQL toolkit to access the database in this design. Introduced the composition and function of LabSQL toolkit. In the fourth section, described the steps of LabSQL using, the database storage example using LabSQL as well as the use of LabVIEW DLL technology to complete the table deletion.(5)Observation system in local area network environment. In the third part of article, introduced the necessity of using distributional network observation system in steel rolling field, draws out the DataSocket technology; introduced its character simply, and introduced the method of remote panel visit in LabVIEW. In the fourth section, introduced a design of distributed vibration instrument based on DataSocket as well as its functional results.The fifth part of article introduced the design’s confirmation in laboratory and the utilization in rolling mill.In the section of laboratory confirmation, introduced the performance index and the connection mode of the hardware used in this design, such as: sensor, vibration meter, data acquisition and so on. The acquisition, point by point analysis and real-time data issue in local network of vibration signal which produced by speed motor, when adding interference, the result of data reception as well as the effect of wavelet de-noising.In the application section, introduced the measuring instruments briefly, using in the rolling mill scene, used the analysis software to discover the reason of steel belt’s thick fluctuation, this part described the cross-correlation analysis between thickness and other carious factors respectively, found out the factors which have the most of pertinence with thickness, then using the methods such as power spectrum, dynamic play backing, time domain statistics analyzed to find out the factors which lead to the thickness fluctuation.From the application in laboratory and rolling mill, this system has achieved the design requirement.The last chapter made a summary of this article, and put forward a number of shortcoming and recommendations.
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