用集成傳感器同時(shí)檢測(cè)多個(gè)參數(shù)

　　位于手指尖端的傳感器不僅是接觸感受器，還包括壓力傳感器、形狀傳感器、溫度傳感器和液體粘度傳感器。它們同時(shí)將機(jī)械和熱信息轉(zhuǎn)換成發(fā)送給大腦的電信號(hào)，通過模式識(shí)別程序提供反饋信息。隨著性能的提高和多傳感器集成在一個(gè)單一的傳感器模塊，結(jié)合他們的輸出的有效性，設(shè)計(jì)師創(chuàng)建系統(tǒng)，在一個(gè)規(guī)模較小但不像我們的手指和大腦，可以使高層推論各種環(huán)境條件下的。在這篇文章中，我們將研究新的集成多功能傳感器模塊和智能傳感器應(yīng)用這些設(shè)備使之成為可能。

　　智能導(dǎo)航系統(tǒng)

　　首先，考慮電子導(dǎo)航系統(tǒng)。我們很快就習(xí)慣于擁有便攜式電子產(chǎn)品，根據(jù)需要，它可以告訴我們我們?cè)谀睦铩．?dāng)汽車旅行到一個(gè)新的或陌生的地方，大多數(shù)司機(jī)現(xiàn)在將依靠GPS導(dǎo)航系統(tǒng)或手機(jī)應(yīng)用程序，以獲得他們想要去的地方。

　　These systems work well， but those of us who have used them often know there’s room for improvement. There are times when the navigation system seems to get confused about which level of a tiered highway we are on， or the system loses location when it is unable to obtain a GPS signal for any length of time， for instance， when traveling through a tunnel.

　　It is possible to overcome these problems by using the inputs from several sensors simultaneously to obtain accurate position information without an external signal. Rather than rely on a single type of sensor， say an accelerometer， inputs from multiple sensors or from a single， multifunctional sensor module can be combined algorithmically to produce reliable position data.