發(fā)布時(shí)間：2019-05-11 20:56

【摘要】：《國(guó)家電網(wǎng)公司電力安全工作規(guī)程(變電部分)》2.3.6.5條規(guī)定對(duì)遠(yuǎn)方遙控刀閘操作提出了雙確認(rèn)的要求,在刀閘的操作現(xiàn)場(chǎng)沒(méi)有工作人員確認(rèn)機(jī)械指示將無(wú)法達(dá)到安規(guī)的要求。這一問(wèn)題制約著無(wú)人值守和一鍵順序控制關(guān)鍵技術(shù)在智能變電站中的發(fā)展。因此,本文設(shè)計(jì)一套變電站開(kāi)關(guān)設(shè)備開(kāi)合狀態(tài)圖像識(shí)別系統(tǒng)來(lái)解決這一問(wèn)題。本文對(duì)開(kāi)關(guān)圖像識(shí)別技術(shù)所用到的算法進(jìn)行了研究,利用SIFT尺度不變特征變換算法對(duì)開(kāi)關(guān)圖像進(jìn)行精確定位,通過(guò)圖像的灰度化、二值化提取前景(開(kāi)關(guān))區(qū)域關(guān)鍵的信息,利用霍夫變換算法檢測(cè)直線,來(lái)對(duì)開(kāi)關(guān)刀閘開(kāi)合狀態(tài)進(jìn)行判斷,得到識(shí)別結(jié)果。在硬件設(shè)計(jì)方面,介紹了識(shí)別系統(tǒng)所采用的DSP主控芯片TMS320DM642的特點(diǎn)及內(nèi)部資源,以其為主體設(shè)計(jì)了開(kāi)關(guān)圖像識(shí)別系統(tǒng)的整體結(jié)構(gòu)方案:CCD攝像頭采集開(kāi)關(guān)圖像,經(jīng)過(guò)SAA7115HL解碼芯片對(duì)開(kāi)關(guān)圖像進(jìn)行A/D轉(zhuǎn)換,輸出YUV格式數(shù)字信號(hào)給TMS320DM642, TMS320DM642先是對(duì)輸入的數(shù)字圖像進(jìn)行緩存,緩存后的圖像經(jīng)識(shí)別處理輸出最終識(shí)別結(jié)果。之后給出識(shí)別裝置硬件各模塊詳細(xì)的電路原理圖,包含視頻圖像采集模塊、外部存儲(chǔ)模塊(SDRAM、FLASH)、電源模塊、時(shí)鐘模塊及串口通信模塊。繼而對(duì)整個(gè)識(shí)別系統(tǒng)的軟件設(shè)計(jì)原理進(jìn)行闡述,包括DSP芯片程序的加載與啟動(dòng),系統(tǒng)各模塊的初始化以及開(kāi)關(guān)圖像處理模塊關(guān)鍵參數(shù)的配置與關(guān)鍵指令的分析。最后利用MATLAB在圖像處理識(shí)別可視化方面的優(yōu)勢(shì),與DSP開(kāi)發(fā)環(huán)境CCS聯(lián)合調(diào)試,對(duì)識(shí)別系統(tǒng)進(jìn)行試驗(yàn)驗(yàn)證。結(jié)果表明算法識(shí)別效果較好,識(shí)別系統(tǒng)能夠快速識(shí)別開(kāi)關(guān)開(kāi)合狀態(tài),達(dá)到了設(shè)計(jì)的功能預(yù)期。
[Abstract]:Article 2.3.6.5 of the State Power Grid Company's Power Safety working Code (Substation part) sets out the requirements for double confirmation of remote control switch operation. No staff member confirms that the mechanical instructions will not meet the requirements of the safety regulations at the operation site of the knife brake. This problem restricts the development of unattended and one-key sequential control technology in intelligent substation. Therefore, this paper designs a set of substation switchgear open and close state image recognition system to solve this problem. In this paper, the algorithm used in switching image recognition technology is studied. The SIFT scale invariant feature transformation algorithm is used to accurately locate the switching image, and the key information of the foreground (switch) region is extracted through the grayscale and binarization of the image. The Hough transform algorithm is used to detect the straight line, and the open and close state of the switch is judged, and the recognition results are obtained. In the aspect of hardware design, this paper introduces the characteristics and internal resources of the DSP master chip TMS320DM642 used in the identification system, and designs the whole structure scheme of the switch image recognition system with the main part of the system: the CCD camera acquires the switch image, and uses the CCD camera to collect the switch image. After the switch image is converted by SAA7115HL decoding chip, the digital signal in YUV format is output to TMS320DM642, TMS320DM642. First, the input digital image is cached, and the cached image is recognized and processed to output the final recognition result. Then the circuit schematic diagram of each module of the recognition device is given, including video image acquisition module, external memory module (SDRAM,FLASH), power module, clock module and serial communication module. Then the software design principle of the whole recognition system is described, including the loading and starting of the DSP chip program, the initialization of each module of the system, the configuration of the key parameters and the analysis of the key instructions of the switch image processing module. Finally, based on the advantages of MATLAB in image processing and visualization, the recognition system is tested and verified by debugging with DSP development environment CCS. The results show that the recognition effect of the algorithm is good, and the recognition system can quickly identify the open and close state of the switch, and meet the functional expectations of the design.
【學(xué)位授予單位】：山東科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TM63

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