Blockchain application and cyber-physical systems play a crucial role to modernize the traditional industrial process, technical procedures, and business models. It uses frame resilient and smart contracts to reduce the complexities of service costs. The blockchain applications associate the key features such as self-verification, and self-integrity to eliminate the role of trusted third parties access. It evolves scientific and industrial progress to reform as Industry 4.0 that uses Artificial Intelligence (AI) to process and extract the significant information of the real-time systems. Moreover, it applies digital analytics to link the data with blockchain and cloud repositories to improve system efficiencies. However, the security and privacy issues are still challenging to investigate the AI techniques and tools. Thus, this paper proposes a privacy-preserving in smart contracts using blockchain and artificial intelligence (PPSC-BCAI) framework that simplifies human interaction, system activities, service alerts, security risks, and fraudulent claims. To analyze the data transaction and sharing, an extreme gradient boosting (XGBoost) is applied. It analyses the transaction service to optimize the network load that reveals whether the transmission rate changes over the connectivity of unreliable networks.

区块链应用程序和网络物理系统在使传统工业流程，技术程序和业务模型现代化方面起着至关重要的作用。它使用框架弹性和智能合约来降低服务成本的复杂性。区块链应用程序结合了诸如自我验证和自我完整性等关键功能，从而消除了受信任的第三方访问的作用。它推动科学和工业进步向工业4.0的改革发展，该工业使用人工智能（AI）处理和提取实时系统的重要信息。此外，它应用数字分析将数据与区块链和云存储库链接，以提高系统效率。但是，安全性和隐私问题仍然是研究AI技术和工具的挑战。因此，本文提出了使用区块链和人工智能（PPSC-BCAI）框架的智能合约中的隐私保护，该框架可简化人机交互，系统活动，服务警报，安全风险和欺诈性索赔。为了分析数据交易和共享，应用了极端梯度增强（XGBoost）。它分析事务服务以优化网络负载，从而揭示传输速率是否在不可靠网络的连接上发生变化。