<p>With the advent of the digital era, network system data security has become crucial for industry development. The jewelry sector involves sensitive information such as customer data, design blueprints, and material procurement records during production. This study investigates the use of optical sensor technology to collect real-time optical characteristic data of gemstones, combined with cluster analysis techniques for classification and identification of gemstone features. Through data encryption, Intrusion Detection Systems, and blockchain technology, the system ensures data security and integrity during transmission and storage, establishing an information exchange platform that connects clients with custom jewelry manufacturers to facilitate efficient communication between requirements and design concepts. Experimental results demonstrate that this auxiliary system effectively reduces energy consumption in jewelry design while maintaining aesthetic quality. Under varying lighting conditions, designers can better understand visual presentations and make corresponding adjustments, significantly improving design efficiency. The application of network system data security technology effectively prevents data leaks and unauthorized access, ensuring data security and confidentiality during the design process. The developed jewelry setting design assistance system integrates artificial intelligence technology on top of network system data security, achieving efficient optimization of jewelry designs and data protection. This not only enhances design efficiency and market competitiveness but also provides new approaches and technical support for sustainable development in the jewelry industry.</p>

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Design of jewelry inlay design assistance system based on artificial intelligence for network system data security

  • Chen Qian,
  • Qiao Yu,
  • Yao JiaHui

摘要

With the advent of the digital era, network system data security has become crucial for industry development. The jewelry sector involves sensitive information such as customer data, design blueprints, and material procurement records during production. This study investigates the use of optical sensor technology to collect real-time optical characteristic data of gemstones, combined with cluster analysis techniques for classification and identification of gemstone features. Through data encryption, Intrusion Detection Systems, and blockchain technology, the system ensures data security and integrity during transmission and storage, establishing an information exchange platform that connects clients with custom jewelry manufacturers to facilitate efficient communication between requirements and design concepts. Experimental results demonstrate that this auxiliary system effectively reduces energy consumption in jewelry design while maintaining aesthetic quality. Under varying lighting conditions, designers can better understand visual presentations and make corresponding adjustments, significantly improving design efficiency. The application of network system data security technology effectively prevents data leaks and unauthorized access, ensuring data security and confidentiality during the design process. The developed jewelry setting design assistance system integrates artificial intelligence technology on top of network system data security, achieving efficient optimization of jewelry designs and data protection. This not only enhances design efficiency and market competitiveness but also provides new approaches and technical support for sustainable development in the jewelry industry.