摘要
現今雲端運算系統以及物聯網技術已廣泛被大眾所使用，其主要優點不受時間、地區的限制，只要有網際網路亦可即時下單處理。而第三方支付的方法提供公信的第三方，解決缺乏信任基礎上的交易。本計畫目的在將雲端技術應用製機械加工上，期望在我們所開發的雷射2.5D雕刻機系統上實現透過雲端機制，達成照片影像委託遠方機台雕刻的功能。 本論文主要建立一雲端機制，使用不同多台Android手持行動裝置透過APP軟體，利用物聯網的概念對每個行動裝置分配唯一的地址，並在開放性網路中，向雲端伺服器提出照片加工的要求。而由雷射機台控制器向雲端計算伺服器取得訊息，加工並將完工與請款資訊回傳雲端伺服器，經由安全機制的解碼認證後，即將加工指令與影像參數儲存至雷射加工指令與雷射加工影像參數資料庫，再從透過雲端運算伺服器依據材料的不同及加工時間的估算來排程，依照排程上傳至不同的加工機控制器上。建立完成之雲端機制將實際安裝至2.5D圖像雷射雕刻機台上，實際測試雷射加工機控制器依照雲端伺服器上傳的檔案，執行2.5D照片加工並測雲端之各項機制。
並列摘要
Today cloud computing systems and networking technology to be accepted by the public, its main advantage unlimited time and area, as long as there is Internet orders can also be processed immediately. The aim of this project is to implement the cloud technology on the 2.5D laser engraving machine developed. This project is mainly to set up a cloud system, using different multiple Android handheld mobile devices to capture images through image processing modified photo of real-life graphics, for handheld mobile devices to capture the end to complete the picture, the image grayscale do conversion, which by WAN communication with the cloud server handshake, and with the cloud server to decode authentication security mechanisms, authentication command soon after processing and imaging parameters are stored to laser machining and laser processing instruction video parameters database from then through the cloud computing servers based on estimates of different materials and processing time to schedule, in accordance with the schedule uploaded to a controller on a different machine, and part of every major laser machine controller will follow the cloud server after uploading the files, Laser processing instructions use the Internet to transfer from cloud computing servo immediate end to the ARM Linux via laser processing parameters and processing image files embedded controller on the motherboard interpretation, linked to a different mine immediate end to reach the exit process control laser engraving machine image, which was added in the image engraving modeled using an image drawn from 10 sets of data to establish the parameters of laser engraving. Laser processing machines for cutting through the depth, Effect of feed rate and power and to achieve the changes in the modeling 2.5D depth image processing, the process works in the laser processing, the operator can always watch the finished laser action in a hand-held device. Finally, the cloud system will be tested at the 2.5D laser carving machine developed before to verify the feasibility of all the functions for IOT we setup.
參考文獻
延伸閱讀
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