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's 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. The ethical implications and environmental impacts of adopting IIoT intelligence in manufacturing are analyzed as well. Finally, we explore the open challenges and development trends from four aspects to inspire future researches.

翻译：激烈的商业竞争环境与日益个性化的定制需求，正推动制造业数字化转型与升级。工业物联网智能能够为制造价值链各环节提供创新高效的解决方案，为制造业转型指明方向。当前，亟需为工业物联网智能提供系统性视野。然而，现有综述常聚焦于工业物联网智能的特定领域，导致研究者和读者对其认知产生偏差，即认为某一研究方向对工业物联网智能发展最为重要，而忽视其他方向的贡献。为此，本文对工业物联网智能进行了全面综述。我们首先深入分析了制造业转型的必然性，并研究了中国企业实践的成功经验；随后给出了工业物联网智能的定义，并论证了其在功能、运营、部署和应用方面对行业的价值；接着，我们提出了包含五个层次的工业物联网智能分层发展架构，并通过"灯塔工厂"的案例阐释了各层技术升级的实际价值；进而，我们识别出七类加速制造业转型的技术，并阐明其贡献，同时分析了在制造业中采用工业物联网智能涉及的伦理影响与环境影响；最后，我们从四个方面探讨了开放挑战与发展趋势，以启发未来研究。