物聯(lián)網(wǎng)的工業(yè)互聯(lián)網(wǎng)承諾重新設(shè)計(jì)機(jī)械，重組流程，并利用大數(shù)據(jù)的力量，以提高生產(chǎn)力和盈利能力。根據(jù)一些人，熟悉的架構(gòu)和設(shè)備，如可編程邏輯控制器（PLC）可以沖走。另一種觀點(diǎn)認(rèn)為，數(shù)據(jù)采集的爆炸將推動更大數(shù)量的更小的設(shè)備，如微型或納米PLC，可以部署幾乎整個(gè)工廠的任何地方。

　　物聯(lián)網(wǎng)的工業(yè)網(wǎng)絡(luò)是基于收集大量的數(shù)據(jù)從流程和設(shè)備進(jìn)行密集的分析在云中。我們的目標(biāo)是加強(qiáng)重新優(yōu)化和重組的進(jìn)程，追求改善，如減少浪費(fèi)和更快的響應(yīng)客戶的需求。第四次工業(yè)革命的工廠（工業(yè)4）可能包含成千上萬的在設(shè)備和工作區(qū)域的傳感器，報(bào)告對電機(jī)電流和振動方面的不同，環(huán)境溫度和濕度、最終產(chǎn)品的測試和檢驗(yàn)測量、編號、批號和時(shí)間戳。

　　The success of Industry 4.0 requires these thousands of channels of data to be efficiently collected into the Cloud to be stored， prioritized， grouped and analyzed， and ultimately transformed into improved instructions to be communicated to machines， and information to drive smart business decisions. The design of machinery， control systems， and factory communication networks is expected to change significantly， which could pose a threat to incumbent devices such as programmable logic controllers （PLCs） that have hitherto dominated data collection， processing and control tasks in conventional automation.

　　The desire to collect more data to improve manufacturing yield and assist business decision making did not originate with Industry 4.0. Enterprises have been looking to collect increasing quantities of data from equipment and automate exchanges between factory floor and back office analytical systems since long before the Cloud. The Industrial PC （IPC） is one example of a concept that emerged to enable PC-based automation with the benefits of a seamless data flow to and from decision makers on the corporate LAN. The PLC， however， retains several advantages including long lifecycles and high reliability， and has also evolved to meet market needs by increasing processing capability， providing extra functionality， and incorporating PC-based standards.