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This paper aims to propose a novel framework for the intelligent IIoT, named Industrial Internet of Learning (IIoL). It is built using an industrial wireless communication network called Low-power wide-area network (LPWAN). By applying edge computing technologies in the LPWAN, the high-intensity computing load is distributed to edge sides, which integrates the computing resource of edge devices to lighten the computational complexity in the central. It cannot only reduce the energy consumption of processing and storing big data but also low the risk of cyber-attacks. Additionally, in the proposed framework, the information and knowledge are discovered and generated from different parts of the system, including smart sensors, smart gateways and cloud. Under this framework, a pervasive knowledge network can be established to improve all the devices in the system. Finally, the proposed concept and framework were validated by two real industrial cases, which were the health prognosis and management of a water plant and asset monitoring and management of an automobile factory.<\/jats:p>","DOI":"10.1007\/s42486-020-00050-2","type":"journal-article","created":{"date-parts":[[2021,1,5]],"date-time":"2021-01-05T11:14:51Z","timestamp":1609845291000},"page":"25-39","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Industrial Internet of Learning (IIoL): IIoT based pervasive knowledge network for LPWAN\u2014concept, framework and case studies"],"prefix":"10.1007","volume":"3","author":[{"given":"Jian","family":"Qin","sequence":"first","affiliation":[]},{"given":"Zhuoqun","family":"Li","sequence":"additional","affiliation":[]},{"given":"Rui","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Li","family":"Li","sequence":"additional","affiliation":[]},{"given":"Zhe","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Xun","family":"He","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9319-5940","authenticated-orcid":false,"given":"Ying","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,1,5]]},"reference":[{"issue":"2","key":"50_CR1","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.dcan.2017.07.001","volume":"4","author":"Y Ai","year":"2018","unstructured":"Ai, Y., Peng, M., Zhang, K.: Edge computing technologies for Internet of Things: a primer. 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