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、人工智能与智能工业物联网不仅是全球领先的三大前沿技术，更是推动现代社会提升生活水平、简化用户操作的关键驱动力。这些技术已被广泛应用于不同领域的多重目标，并成功助力开发智慧城市、智能家居、智能制造、智慧教育及工业系统等理想系统。然而，这些技术需应对不同领域的安全性、隐私性、机密性、可扩展性及应用挑战等多重问题。在此背景下，针对日益增长的问题解决方案需求，作者对智能工业物联网中结合区块链的人工智能方法进行了全面综述。首先，我们聚焦人工智能、区块链与智能物联网应用的最新研究概况；其次，系统阐述了技术集成优势，并高效探讨了既有方法、工具与策略。尤为重要的是，我们着重分析了安全性、稳定性、可扩展性及机密性等关键问题，并提供了解决策略与方法的指导路径。此外，本文深入探讨了应用程序的个体与协同效益。最后，我们重点讨论了基于区块链人工智能方法在智能工业物联网系统中面临的开放性研究挑战与未来潜在研究方向。