Machines should be able to adapt quickly to changing industrial production requirements. As the market environment is constantly changing, companies must have the ability to quickly adapt their production processes and integrate new products or variants. Modular automation concepts, in which individual machine modules can be combined and customised as needed, offer greater flexibility. This makes companies are more agile so they can react to market changes and increase their competitiveness.
Design machines so that they perform tasks autonomously and without constant human supervision. The digital transformation with the use of artificial intelligence and machine learning allows machines to make decisions independently and improve themselves. By automating processes, efficiency can be increased, product quality is improved and costs are reduced. This can be achieved, for example, by using robotics, advanced sensor technology, artificial intelligence, machine learning and automated control systems.
Predictive maintenance is another key element of industrial change; it helps companies to continuously monitor the condition and state of their machines and systems digitally and identify potential problems at an early stage. Maintenance tasks can be optimised and unplanned downtime can be reduced to a minimum thanks to digitalisation together with data analysis and machine learning.
Machines should be able to communicate with each other and exchange data digitally. This enables seamless integration and coordination in production. Digital networking makes it possible for machines to exchange information in real time. As a result, processes can be optimised, bottlenecks can be identified and efficiency can be increased. In Industry 4.0, for example, this can be achieved through the use of IoT technologies and standardised communication protocols.
In the age of Industry 4.0, future machines should also be sustainable and energy-efficient and make optimum use of resources. Energy-efficient components, sensors and advanced control technologies can help to optimise performance and save energy. For example, machines can use sensors to adapt their energy requirements to the current workload or monitor energy consumption in real time. By optimising energy efficiency, companies can not only reduce their environmental impact, but also cut their operating costs.
Machines should have advanced safety features to protect employees and the environment. In industry, this includes, among others, the use of sensors for detecting hazards, the implementation of safety protocols and the integration of protective devices. Machine safety is crucial to prevent accidents at work and to ensure the health and well-being of employees.
人机交互应直观且具有用户友好性。帮助员工与机器实现高效互动，更出色地完成他们的任务。这可以通过采用符合人体工程学的设计、使用直观的用户界面以及集成语音或手势控制得以实现。通过改善工业中的人机交互，可以提高生产力，缩短新员工培训时间，并增加员工的工作满意度。
未来的机器应适应工业转型的要求。灵活性、自动化、可持续性和互联性是提高生产力和实现可持续、节能生产过程的关键因素。企业应致力于实施模块化机器方案， 从而提高生产的适应能力和效率。如果在工业生产中不断改进机器并整合新技术，这些机器应能够满足未来的要求。通过这种方式，企业可成功实现工业转型。