The fiercely competitive business environment and increasingly personalized
customization needs are driving the digital transformation and upgrading of the
manufacturing industry. IIoT intelligence, which can provide innovative and
efficient solutions for various aspects of the manufacturing value chain,
illuminates the path of transformation for the manufacturing industry. It is
time to provide a systematic vision of IIoT intelligence. However, existing
surveys often focus on specific areas of IIoT intelligence, leading researchers
and readers to have biases in their understanding of IIoT intelligence, that
is, believing that research in one direction is the most important for the
development of IIoT intelligence, while ignoring contributions from other
directions. Therefore, this paper provides a comprehensive overview of IIoT
intelligence. We first conduct an in-depth analysis of the inevitability of
manufacturing transformation and study the successful experiences from the
practices of Chinese enterprises. Then we give our definition of IIoT
intelligence and demonstrate the value of IIoT intelligence for industries in
fucntions, operations, deployments, and application. Afterwards, we propose a
hierarchical development architecture for IIoT intelligence, which consists of
five layers. The practical values of technical upgrades at each layer are
illustrated by a close look on lighthouse factories. Following that, we
identify seven kinds of technologies that accelerate the transformation of
manufacturing, and clarify their contributions. Finally, we explore the open
challenges and development trends from four aspects to inspire future
researches.

这篇论文提供了一个关于 IIoT 智能化的综合概述，研究了制造业转型的必然性和成功经验，并分析了 IIoT 智能化在各个方面的价值，提出了一个包括五层的分层发展架构，并讨论了加速制造业转型的七种技术以及未来研究的挑战和发展趋势。