从技术到技能的能源工作者分析仪，以实现制造业的能源效率
The Energy Worker Profiler from Technologies to Skills to Realize Energy Efficiency in Manufacturing
摘要：
近年来，制造业占能源消耗总量的近55%，对全球生态系统产生了重大影响。尽管更严格的法规、对重型制造业的限制和技术进步正在提高其可持续性，但零排放和节能制造业仍被视为乌托邦目标。与此同时，投资于数字创新的公司现在需要调整其内部能力，以最大限度地提高投资回报。此外，工业4.0的一个主要特征是生产过程的数字化，这为优化能源消耗提供了机会。然而，鉴于创新的速度，仍在设计能够衡量技术对数字和绿色职业和技能的影响的工具。鉴于上述情况，在本文中，我们介绍了工人分析器，这是一种旨在绘制工人目前拥有的技能的软件，识别与他们应该拥有的技能的不一致，以满足数字创新和环境保护带来的新需求。创建工人分析器包括两个步骤：首先，作者推断出感兴趣领域的关键技术和技能，分离出专利趋势明显增加的技术和技能，并确定绿色和数字化的技能和职业。因此，该软件是在用户界面一级设计和实施的。自我评估的输出是对缺失的数字和绿色技能的定义，以及就当前技能而言最接近起始职位的工作职位;这两个结果都可以定义定制的再培训策略。有证据表明，这一工具方便用户，能有效地查明技能差距，并易于适应其他情况。
英文摘要：
In recent years, the manufacturing sector has been responsible for nearly 55 percent of total energy consumption, inducing a major impact on the global ecosystem. Although stricter regulations, restrictions on heavy manufacturing and technological advances are increasing its sustainability, zero-emission and fuel-efficient manufacturing is still considered a utopian target. In parallel,companies that have invested in digital innovation now need to align their internal competencies to maximize their return on investment. Moreover, a primary feature of Industry 4.0 is the digitization of production processes, which offers the opportunity to optimize energy consumption. However, given the speed with which innovation manifests itself, tools capable of measuring the impact that technology is having on digital and green professions and skills are still being designed. In light of the above, in this article we present the Worker Profiler, a software designed to map the skills currently possessed by workers, identifying misalignment with those they should ideally possess to meet the renewed demands that digital innovation and environmental preservation impose. The creation of the Worker Profiler consists of two steps: first, the authors inferred the key technologies and skills for the area of interest, isolating those with markedly increasing patent trends and identifying green and digital enabling skills and occupations. Thus, the software was designed and implemented at the user-interface level. The output of the self-assessment is the definition of the missing digital and green skills and the job roles closest to the starting one in terms of current skills; both the results enable the definition of a customized retraining strategy. The tool has shown evidence of being user-friendly, effective in identifying skills gaps and easily adaptable to other contexts.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
