Currently, Blockchain (BC), Artificial Intelligence (AI), and smart Industrial Internet of Things (IIoT) are not only leading promising technologies in the world, but also these technologies facilitate the current society to develop the standard of living and make it easier for users. However, these technologies have been applied in various domains for different purposes. Then, these are successfully assisted in developing the desired system, such as-smart cities, homes, manufacturers, education, and industries. Moreover, these technologies need to consider various issues-security, privacy, confidentiality, scalability, and application challenges in diverse fields. In this context, with the increasing demand for these issues solutions, the authors present a comprehensive survey on the AI approaches with BC in the smart IIoT. Firstly, we focus on state-of-the-art overviews regarding AI, BC, and smart IoT applications. Then, we provide the benefits of integrating these technologies and discuss the established methods, tools, and strategies efficiently. Most importantly, we highlight the various issues--security, stability, scalability, and confidentiality and guide the way of addressing strategy and methods. Furthermore, the individual and collaborative benefits of applications have been discussed. Lastly, we are extensively concerned about the open research challenges and potential future guidelines based on BC-based AI approaches in the intelligent IIoT system.

翻译：当前，区块链（BC）、人工智能（AI）与智能工业物联网（IIoT）不仅是全球范围内极具前景的领先技术，更有力推动了社会生活质量提升与用户便利化进程。然而，这些技术已在不同领域为实现多元目标而得到应用，并成功助力智慧城市、智能家居、智能制造、智慧教育及工业智能化等系统的建设。值得注意的是，这些技术在广泛应用中仍需应对安全、隐私、保密性、可扩展性及跨领域应用挑战等多重问题。在此背景下，为应对日益增长的解决方案需求，本文针对智能IIoT中结合区块链的人工智能方法展开系统性综述。首先，我们聚焦于人工智能、区块链及智能物联网应用的最新研究进展。继而，我们深入阐述这些技术融合的协同优势，系统探讨现有方法、工具与实施策略。尤为重要的是，本文重点剖析安全、稳定性、可扩展性与保密性等核心问题，并提出相应的解决策略与方法指引。此外，我们详细论述了技术应用带来的个体效益与协同效益。最后，基于智能IIoT系统中区块链与人工智能的融合路径，我们全面探讨了当前面临的开放性研究挑战及未来潜在发展方向。