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如何在工業(yè)物聯(lián)網(wǎng)中實現(xiàn)無線診斷

2453872 2017-05-11 | rar | 0.47 MB | 次下載 | 免費

資料介紹

　　有許多不同的無牌頻段的無線操作在世界各地，每個樂隊有不同的影響收集診斷數(shù)據(jù)的工業(yè)物聯(lián)網(wǎng)（物聯(lián)網(wǎng)）。一些樂隊如2.4 GHz有標準的協(xié)議如ZigBee、藍牙和Wi-Fi，可以用來收集數(shù)據(jù)和有關(guān)工業(yè)設(shè)備和訪問網(wǎng)絡(luò)的診斷數(shù)據(jù)。其他1子頻段，而潛在的低成本和較長的范圍內(nèi)，不提供這些功能。

　　The application requirements are also important. Industrial IoT applications for diagnostics require less data than streaming video or file transfers， and so there are many more options for the designer. The size and positioning of the network is also important. Higher frequency bands offer more channels and more bandwidth， hence can serve larger networks and drive more data throughput. Lower frequency radio waves propagate better than higher frequency and so achieve better range， especially inside buildings.

　　Each of these bands also have different optimizations and processing requirements. The higher performance requirements of the protocols in the 2.4 GHz band have a major influence on the design and power consumption of the wireless transceivers. However， continual evolution of the silicon design by companies such as Texas Instruments is constantly updating the technology， reducing cost and power with higher levels of integration of digital and analog components.