Core Insights - The TIC industry is undergoing a transformation driven by the integration of smart technologies, which is essential for enhancing quality infrastructure and meeting the demands of digitalization in manufacturing [4][28] - The industry faces significant challenges, including fragmented technical standards, a shortage of skilled talent, and high costs associated with smart technology implementation [14][15][16] Group 1: Industry Trends - The TIC industry's smart transformation has shifted from an optional upgrade to a strategic necessity for manufacturers, addressing key pain points in quality assurance [4][11] - The Ministry of Industry and Information Technology has set a target for 2027 to achieve breakthroughs in key calibration technologies, promoting a shift from static laboratory calibration to dynamic monitoring on production lines [4][11] - Over 80% of China's TIC market consists of small and micro enterprises, indicating a highly fragmented market that presents opportunities for smart integration [4] Group 2: Technological Advancements - Smart technologies are providing dual core values to the TIC industry: breaking spatial and temporal limitations through IoT and enabling dynamic evolution of standards via AI [5][6] - AI is identified as the core driver for process innovation in the TIC industry, particularly in enhancing the efficiency and accuracy of report reviews [7][8] - IoT technology is facilitating a shift from offline testing to real-time monitoring, significantly improving production efficiency [8] Group 3: Implementation Pathways - The TIC industry is focusing on three core directions for the implementation of smart technologies: AI-driven process innovation, real-time monitoring through IoT, and establishing secure data systems via blockchain [6][9][10] - Blockchain technology is being utilized to build a trustworthy data infrastructure, addressing trust barriers in cross-border trade and enhancing data flow efficiency [9] Group 4: Challenges and Future Directions - The TIC industry faces three main challenges in its smart transformation: technical adaptation, resource allocation, and external environmental barriers [13][14] - The fragmentation of technical standards and cross-border compliance barriers are significant obstacles to the global service capabilities of TIC enterprises [14] - The industry is evolving towards three main directions: deep integration of technologies, expansion of service ecosystems, and upgrading of value dimensions [18][19] Group 5: Strategic Recommendations - TIC enterprises are advised to adopt a phased approach to AI deployment, starting with intelligent auditing systems and gradually moving towards comprehensive smart solutions [24] - Collaboration with educational institutions to develop specialized training programs in smart detection and AI is essential for addressing the talent gap [25] - Cost optimization strategies, such as leasing smart detection equipment and participating in data-sharing platforms, can help reduce initial investments and operational costs [28]

7月18日，在中石化上海工程公司华昌化工机械厂(以下简称华昌化机)配件加工车间，1台经过智能化改 造的数控机床正在高效运转。 "自从加装了PLC控制系统，我们的加工精度提高了30%，生产效率提升了25%。"该厂厂长指着显示屏 上的实时数据说。这个由车间技术团队自主完成的技改项目，正是华昌化机推动技术创新、踢好成果转 化"临门一脚"的生动实践。 从"会干"到"慧干"：一线员工发生创新蜕变 "刚开始说要搞智能化改造时，我们心里都没底。"女工赵丽华坦言。作为厂里的技术骨干，她和同事们 习惯了传统机床的操作模式。改变始于去年厂里推行的全员创新计划。在设备工程师张玉萌的指导下， 加工班开始尝试给普通机床加装传感器和控制系统。 在创意孵化阶段，车间每月召开"诸葛亮会"，收集员工建议。他们建立了"提案—评估—奖励"的闭环管 理流程，确保每个好点子都不被埋没。去年，高级技师陆东昌提出的刀具寿命智能监测系统，就是通过 这个渠道获得了立项支持。该系统通过实时监测刀具磨损状态，将刀具更换周期延长了40%，年节约刀 具成本80万元。 技术攻关阶段则实行项目制管理。张学民说："我们打破部门界限，组建跨专业团队。比如热力车间主 任刘星国 ...