本文選題：數(shù)控信息采集 + FOCAS協(xié)議��； 參考：《中國科學(xué)院大學(xué)(中國科學(xué)院沈陽計(jì)算技術(shù)研究所)》2017年碩士論文

【摘要】：隨著新興的信息技術(shù)和傳統(tǒng)制造業(yè)的深度融合,以及智能制造發(fā)展戰(zhàn)略的推動(dòng),工業(yè)領(lǐng)域迎來了一次新的深刻變革。數(shù)控機(jī)床作為在制造行業(yè)得到廣泛應(yīng)用的機(jī)械工業(yè)設(shè)備,對(duì)其運(yùn)行狀態(tài)數(shù)據(jù)進(jìn)行采集和監(jiān)控,使得管理人員可以快速掌控?cái)?shù)控機(jī)床的加工過程信息、及時(shí)的調(diào)整加工參數(shù)、預(yù)防故障的產(chǎn)生,實(shí)現(xiàn)加工效率和生產(chǎn)效益的提升。本文從當(dāng)前數(shù)控機(jī)床監(jiān)控的現(xiàn)實(shí)狀況出發(fā),對(duì)數(shù)控機(jī)床智能監(jiān)控所涉及的關(guān)鍵技術(shù)進(jìn)行了研究,包括FOCAS協(xié)議、海量工業(yè)過程數(shù)據(jù)壓縮技術(shù)以及數(shù)字可視化監(jiān)控技術(shù)等,提出了一種基于FOCAS協(xié)議的FANUC數(shù)控機(jī)床數(shù)據(jù)采集和遠(yuǎn)程控制方案和一種改進(jìn)的旋轉(zhuǎn)門壓縮算法,以及設(shè)計(jì)了一個(gè)基于Unity3D的數(shù)字可視化監(jiān)控系統(tǒng),實(shí)現(xiàn)了對(duì)數(shù)控機(jī)床的智能化監(jiān)控。為實(shí)現(xiàn)FANUC數(shù)控機(jī)床的生產(chǎn)數(shù)據(jù)的實(shí)時(shí)采集和遠(yuǎn)程控制,本文利用FANUC提供的FOCAS軟件開發(fā)包作為數(shù)據(jù)采集手段,借助于TCP/IP網(wǎng)絡(luò)協(xié)議實(shí)現(xiàn)PC與數(shù)控機(jī)床的連接,調(diào)用FOCAS庫函數(shù)讀取機(jī)床加工狀態(tài)數(shù)據(jù),并根據(jù)機(jī)床運(yùn)行狀況,利用FOCAS庫函數(shù)進(jìn)行機(jī)床的遠(yuǎn)程控制。為實(shí)現(xiàn)海量過程數(shù)據(jù)的壓縮存儲(chǔ),改進(jìn)了傳統(tǒng)的旋轉(zhuǎn)門算法,動(dòng)態(tài)調(diào)整容差,采用一種多模型尋優(yōu)方法進(jìn)行函數(shù)擬合來確定存儲(chǔ)誤差較大的數(shù)據(jù)點(diǎn),降低壓縮誤差。為實(shí)現(xiàn)數(shù)控機(jī)床的可視化監(jiān)控,在Unity3D平臺(tái)上開發(fā)出一套可視化監(jiān)控原型系統(tǒng),可以直觀的對(duì)數(shù)控機(jī)床加工過程進(jìn)行遠(yuǎn)程監(jiān)控。本文研究了數(shù)控機(jī)床智能監(jiān)控技術(shù),實(shí)現(xiàn)了對(duì)數(shù)控機(jī)床數(shù)據(jù)采集存儲(chǔ)和遠(yuǎn)程控制以及可視化監(jiān)控,彌補(bǔ)了傳統(tǒng)監(jiān)控方式上的不足,為制造業(yè)的智能化發(fā)展奠定了堅(jiān)實(shí)的基礎(chǔ)。
[Abstract]:With the deep integration of new information technology and traditional manufacturing, and the promotion of intelligent manufacturing development strategy, the industrial field has ushered in a new profound change. As a widely used machinery equipment in manufacturing industry, NC machine tools can collect and monitor the running state data, so that the managers can quickly control the machining process information of NC machine tools and adjust the processing parameters in time. To prevent the occurrence of faults and realize the improvement of processing efficiency and production efficiency. In this paper, the key technologies involved in the intelligent monitoring of NC machine tools are studied, including FOCAS protocol, massive industrial process data compression technology and digital visual monitoring technology. This paper presents a data acquisition and remote control scheme for FANUC NC machine tools based on FOCAS protocol and an improved compression algorithm for rotary gates. A digital visual monitoring system based on Unity3D is designed to realize the intelligent monitoring and control of NC machine tools. In order to realize the real-time data acquisition and remote control of FANUC NC machine tools, this paper uses FOCAS software development kit provided by FANUC as a means of data acquisition, and realizes the connection between PC and NC machine tools by means of TCP/IP network protocol. The FOCAS library function is called to read the machining state data of the machine tool, and according to the running condition of the machine tool, the remote control of the machine tool is carried out by using the FOCAS library function. In order to realize the compression and storage of mass process data, the traditional rotary gate algorithm is improved, and the tolerance is dynamically adjusted. A multi-model optimization method is used to fit the data points with large storage error, and the compression error is reduced. In order to realize the visual monitoring of NC machine tools, a set of visual monitoring prototype system is developed on the platform of Unity3D, which can directly monitor the machining process of NC machine tools. This paper studies the intelligent monitoring technology of NC machine tools, realizes the data acquisition, storage, remote control and visual monitoring of NC machine tools, makes up for the shortcomings of traditional monitoring methods, and lays a solid foundation for the intelligent development of manufacturing industry.
【學(xué)位授予單位】：中國科學(xué)院大學(xué)(中國科學(xué)院沈陽計(jì)算技術(shù)研究所)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP277;TG659

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