智能傳感器帶來的好處工業互聯網的東西

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　　物聯網產業（IIoT）提供了一個設備共享遠比過去更大數量的數據平臺，使流程更復雜的控制和管理，機械維護計劃。傳統的數據收集方法，如SCADA系統，其中被動傳感器通道數據返回到一個中央控制器，將讓位給IIoT的解決方案，可以提供更快的響應時間，有效的數據收集能力和大數據服務，如預測性維護和自治系統自優化。

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　　Figure 1 illustrates a traditional industrial sensor network， in which the SCADA system receives and processes the sensor data and takes responsibility for subsequent decision making. In the new model made possible by the IIoT， embedded intelligence processes the sensor data locally to make decisions in real-time that are relevant to completing the current process. In addition， refined sensor information will be forwarded to The Cloud. Here， Big Data applications perform deep analysis based on the full set of information received from throughout the sensor network.

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　　Analytics performed in The Cloud are able to identify trends and patterns that human operators or analysts are unable to detect， generating higher-level intelligence that enables processes， equipment， factories and the enterprise to operate more efficiently， productively and cost-effectively. Typical Cloud-based analytic services useful to a manufacturing enterprise， for example， may include generating diagnostic data， automatic re-optimization of equipment settings， ordering new supplies or machine parts， scheduling maintenance， and management querying or reporting services. In this way， the IIoT will enable enterprises to increase productivity， lower costs， reduce stoppages and servicing costs， and share more and better intelligence throughout the business to guide strategic decisions.

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