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數(shù)控系統(tǒng)軟件可靠性及評(píng)估方法研究與應(yīng)用

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  本文選題:數(shù)控系統(tǒng) 切入點(diǎn):軟件可靠性 出處:《合肥工業(yè)大學(xué)》2016年博士論文 論文類型:學(xué)位論文


【摘要】:數(shù)控機(jī)床是裝備制造業(yè)最重要的基礎(chǔ)機(jī)械,其整體性能在很大程度上是由數(shù)控系統(tǒng)的性能水平而決定的。近些年來(lái),隨著我國(guó)機(jī)床產(chǎn)業(yè)的高速發(fā)展,國(guó)產(chǎn)數(shù)控系統(tǒng)的性能也得到了較大地提高,尤其是在功能和精度方面,已經(jīng)逐漸接近國(guó)外先進(jìn)水平。但是,相關(guān)數(shù)據(jù)統(tǒng)計(jì)表明,我國(guó)大部分中高檔數(shù)控系統(tǒng)仍需依賴進(jìn)口。究其原因,主要是國(guó)產(chǎn)數(shù)控系統(tǒng)在可靠性方面與國(guó)外相比仍存在較大差距。因此,提高國(guó)產(chǎn)數(shù)控系統(tǒng)的可靠性水平,已經(jīng)成為我國(guó)裝備制造業(yè)快速發(fā)展的關(guān)鍵所在。隨著硬件技術(shù)的不斷發(fā)展與完善,硬件平臺(tái)已經(jīng)非常成熟,其可靠性也相對(duì)較高,而軟件失效已經(jīng)成為導(dǎo)致整個(gè)系統(tǒng)發(fā)生故障的主要原因。由于加工精度和加工速度等技術(shù)指標(biāo)的不斷提升,數(shù)控系統(tǒng)的軟件規(guī)模越來(lái)越大,軟件層次越發(fā)復(fù)雜,導(dǎo)致軟件發(fā)生失效的概率成倍增加。因此,研究數(shù)控系統(tǒng)軟件可靠性的相關(guān)技術(shù)和理論變得非常重要。本文結(jié)合國(guó)家科技重大專項(xiàng)“標(biāo)準(zhǔn)型數(shù)控系統(tǒng)的產(chǎn)業(yè)化及專用型齒輪機(jī)床數(shù)控系統(tǒng)的研究開發(fā)”(編號(hào):2012ZX04001-021)和安徽省自主創(chuàng)新專項(xiàng)資金項(xiàng)目“高性能智能化數(shù)控系統(tǒng)開發(fā)”(編號(hào):2013AKKG0394)的研究工作,針對(duì)數(shù)控系統(tǒng)軟件可靠性進(jìn)行了全面而系統(tǒng)地研究,主要研究工作如下:(1)建立了數(shù)控系統(tǒng)軟件體系結(jié)構(gòu)模型,主要分為功能層、程序?qū)雍徒M件層;建立了一個(gè)基于AHP和組件復(fù)雜度的數(shù)控系統(tǒng)軟件可靠性分配模型,以數(shù)控系統(tǒng)整體實(shí)用性最大為目標(biāo),以程序的最低可靠性和研發(fā)費(fèi)用為約束條件,將可靠性指標(biāo)分配給每個(gè)程序。并將程序的可靠性指標(biāo)作為總指標(biāo),以組件的復(fù)雜度作為考量因素進(jìn)行再分配,最終將可靠性指標(biāo)分配給每個(gè)組件。實(shí)驗(yàn)結(jié)果表明,該方法在數(shù)控系統(tǒng)設(shè)計(jì)前期,研發(fā)人員對(duì)程序中組件的調(diào)用情況掌握不準(zhǔn)確的情況下,可以將數(shù)控系統(tǒng)軟件可靠性總指標(biāo)合理地分配給每個(gè)組件,并為單個(gè)組件的研發(fā)提供了指導(dǎo)依據(jù)。(2)對(duì)GSK-HFUT型滾齒數(shù)控系統(tǒng)的軟件部分進(jìn)行了全面的失效模式及影響分析(FMEA)。分析的目的是找出系統(tǒng)軟件中可靠性比較薄弱的環(huán)節(jié),從而采取一些改進(jìn)措施以降低失效發(fā)生的概率。分別從系統(tǒng)級(jí)和詳細(xì)級(jí)兩個(gè)方面對(duì)該型滾齒數(shù)控系統(tǒng)進(jìn)行了分析,分析結(jié)果對(duì)于提高系統(tǒng)的軟件可靠性或研發(fā)新系統(tǒng)具有一定的指導(dǎo)意義。(3)研究了數(shù)控系統(tǒng)軟件缺陷自定位方法,并建立了代碼缺陷懷疑度分類器模型。該方法可以幫助研發(fā)人員在軟件發(fā)生失效后迅速準(zhǔn)確地對(duì)缺陷進(jìn)行定位。在數(shù)控系統(tǒng)軟件體系結(jié)構(gòu)的基礎(chǔ)上,增加了一個(gè)體系結(jié)構(gòu)擴(kuò)展層,用以跟蹤記錄軟件的執(zhí)行信息。通過(guò)所建立的數(shù)控系統(tǒng)軟件代碼缺陷懷疑度分類器,計(jì)算出失效路徑中各條有向邊的懷疑度,指導(dǎo)研發(fā)人員對(duì)懷疑度最高的有向邊進(jìn)行代碼檢查。實(shí)驗(yàn)結(jié)果表明該方法是可行的,可以有效提高故障排除效率,減少數(shù)控系統(tǒng)的平均修復(fù)時(shí)間,從而提高了數(shù)控系統(tǒng)的可用度。(4)建立了軟件可靠性模型評(píng)價(jià)體系和基數(shù)型多屬性決策模型。通過(guò)6個(gè)評(píng)價(jià)指標(biāo),分別從擬合能力和預(yù)測(cè)能力兩方面對(duì)模型進(jìn)行全面地定量地評(píng)價(jià)。結(jié)合多目標(biāo)決策方法對(duì)軟件可靠性模型進(jìn)行綜合評(píng)價(jià)與選擇,并討論了決策模型的3種求解方法。實(shí)驗(yàn)結(jié)果表明,利用基數(shù)型多屬性決策模型來(lái)選擇最優(yōu)軟件可靠性模型是可行的。(5)建立了數(shù)控系統(tǒng)軟件可靠性評(píng)估與預(yù)測(cè)模型。通過(guò)加權(quán)組合的建模方式來(lái)提高模型預(yù)測(cè)的準(zhǔn)確性。提出了動(dòng)態(tài)權(quán)值調(diào)整算法,并建立了動(dòng)態(tài)加權(quán)組合模型。對(duì)比實(shí)驗(yàn)表明,該模型比現(xiàn)有的模型具有更低的擬合誤差。在GSK-HFUT型滾齒數(shù)控系統(tǒng)上的成功應(yīng)用,證明了此建模方法是有效的、可行的和普遍適用的,具有非常高的實(shí)用價(jià)值,其預(yù)測(cè)結(jié)果對(duì)于管理層作出正確決策具有非常重要的意義。
[Abstract]:NC machine tool is the basis of mechanical equipment manufacturing industry is the most important, its overall performance is determined by the performance level of CNC system to a great extent. In recent years, with the rapid development of China's machine tool industry, the performance of domestic CNC system have been greatly improved, especially in the aspects of function and accuracy, has been gradually close to the advanced level. However, the relevant statistical data show that, in the most high-end CNC system in China is still dependent on imports. The reason is mainly domestic CNC system in terms of reliability compared with foreign countries there is still a large gap. Therefore, improving the reliability level of domestic CNC system, has become the key to the rapid development of equipment manufacturing industry of our country. With the development of hardware technology, the hardware platform has been very mature, its reliability is relatively high, and has become the cause of software failure The main reason of failure of the system. The technical indexes of machining precision and machining speed increase, the CNC system software is more and more large scale software more complex, causes the software failure probability is exponentially increasing. Therefore, the related technology and theory research of CNC system software reliability becomes very important. Based on research and development industrialization and special type gear CNC system standard CNC system of the major projects of national science and technology "(No. 2012ZX04001-021) and the independent innovation in Anhui Province special fund project" high performance development of intelligent CNC system "(serial number: 2013AKKG0394) of the research work, the NC system software reliability research comprehensively and systematically are the main research work is as follows: (1) the establishment of the CNC system software architecture model, mainly consists of function layer, application layer and component layer; The establishment of a AHP and component based on complex CNC system software reliability allocation model, with the goal of maximum overall utility of CNC system, with the lowest cost of research and development program reliability as the constraint condition, the reliability index is assigned to each program. And the program reliability indexes as the total index, the complexity of the components as consideration for redistribution, finally the reliability index assigned to each component. The experimental results show that the method in the numerical control system design, R & D personnel master calls to the program components in the case of inaccurate reliability of CNC system software can be reasonably allocated to the total index of each component, and provides guidance on the basis of for the development of individual components. (2) the part of the software of GSK-HFUT hobbing CNC system of failure mode and effect analysis (FMEA) comprehensive analysis of the objective. Is to find out the weak links on the reliability of the software of the system, in order to take some measures to reduce the probability of failure. From two aspects of system level and detail level of the hobbing CNC system is analyzed, the analysis result has certain guiding significance for improving the reliability of software system or the development of new systems (3.) studied self localization method of CNC system software defects, and set up the code defect doubt classifier model. This method can help the developers in the software after the failure occurred quickly and accurately the defect location. Based on the numerical control system software architecture, adds an architecture extension layer, in order to track record the software execution information. Through the numerical control system software code defects the doubt classifier, calculate the failure path to the edge of the doubt, guide the development of people To doubt the highest degree of a code checks to the edge. The experimental results show that this method is feasible and can effectively improve troubleshooting efficiency, reduce the average repair time of NC system, so as to improve the availability of the CNC system. (4) to establish the model of software reliability evaluation system and multi attribute decision making model base through the 6 evaluation indexes, respectively from the fitting ability and predictive ability of the two aspects of the model to conduct a comprehensive quantitative evaluation. Combining the multi-objective decision method is used to evaluate the software reliability model selection, and discusses 3 kinds of methods for solving decision-making model. Experimental results show that the base of multi attribute decision making model optimal selection of software reliability model is feasible. (5) the establishment of the evaluation and prediction model of software reliability of CNC system. Through modeling the weighted combination to improve the model prediction accuracy . the dynamic weight adjustment algorithm, and establishes a dynamic weighted combination model. Experiments show that the fitting error of the model is lower than the existing model. The successful application of CNC gear rolling system in GSK-HFUT, proved that this modeling method is effective, feasible and applicable, with very high the practical value of the prediction results for management decision making has very important significance.

【學(xué)位授予單位】:合肥工業(yè)大學(xué)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2016
【分類號(hào)】:TG659;TP311.5

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