傳統廠區工具機機台監控主要有佈線不便、成本過高與傳輸速率過慢之不足，故於本研究結合Wi-Fi與感測模組之低成本與高傳輸速率的優點，建立遠端監控系統，並以工具機實驗機型為例，採用Wi-Fi模組與嵌入式系統建立基於Wi-Fi無線網路技術之工具機廠區監控系統。本研究主要貢獻如下:
1.本研究完成高響應動態重量量測模組，模組內直接擷取電流、壓力、振動信號資料，透過實作的工具機無線網路監控系統，將高資料量的模組內部信號數據保存於雲端伺服器，實現高響應，高即時性的的機台內部信號感測遠端監控系統。
2.重量量測模組模組電路由低雜訊儀表放大器、高精度ADC、濾波器、DSP與周邊電路組成。結合儀表放大器，可以使放大器能針對不同應用產品而彈性調整量測範圍。
3.監控系統實作上以ASP.NET撰寫網頁介面程式，SQL Server 2008資料庫。廠區工具機監控系統使用溫濕度、振動、噪聲、氣體等感測器佈建感測系統，應用Wi-Fi網路基礎設施高普及率、高覆蓋率與高傳輸速率之特性，建立基於Wi-Fi無線網路技術之工具機廠區監控系統，使得高頻率響應之振動、噪聲等資訊即時遠端監控得以實現。
本研究之成果結合雲端伺服器，將感測資料傳輸至雲端資料庫進行儲存，使用者能於遠端以網頁方式進行數據瀏覽，管理者與工程師可透過本研究所開發之監控系統進行即時決策資訊管理與機台管理。

Machine tool monitoring systems have a wiring plant inconvenience and high cost of inadequate transfer rate is too slow. This research is combines Wi-Fi sensing module with low cost and high transmission rate of the advantages of establishing a remote monitoring system. In experimental models, for example machine tools, with Wi-Fi modules and embedded systems established based on Wi-Fi wireless Internet technology tools of factory monitoring system. Main contributions are as follows:
1.To realize the performance, this research designs a high response dynamic load measurement module, to catch information such as current, voltage, and vibration, and prove this system can integrate single module and catch those signals inside the machine tool from this wireless sensor network monitoring system, by high speed of transmission data through wireless sensor network, store data in the cloud server, so that it can be real-time and high response remote monitoring system which is sensing signals inside the machines.
2.Load cell amplifier on high response dynamic weight measurement module is low noise processing. Low noise amplifier, high precision ADC, filter, DSP and surrounding circuit built this module. This amplifier can adjust measuring range by adjusting amplifier gain, applying on different objects.
3.Monitoring system by using ASP.NET to construct a website, SQL Server 2008 as Database to save data, and multiple sensors such as temperature, humidity, vibration, noise, gas, and so on, to built a wireless sensor network by Wi-Fi on machine tool factory, it realizes a real-time and remote monitoring platform to show those information about high frequency response on vibration and noise and etc..
With the help of Cloud servers, saving that information from sensors on them, so that managers and engineers can review that information from website to do machine management and make emergent decisions real-time.

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