Machine state control is one of the most promising energy-efficient measures for machining processes. A proper control reduces the energy consumed during idle periods by switching off/on the machines. A critical barrier for practical implementation is related to the knowledge of part arrival process that is affected by uncertainty. The stochastic processes involved in the system are usually assumed to be known. However, real production environments are subject to several sources of randomness that are difficult to model a priori. This work provides an online time-based algorithm that is able to control the machine state. Through a method for the estimation of the stochastic process, the algorithm provides the optimal control parameters based on a collected set of observations. A new policy is formulated to manage the control over time such that changes in the control parameters are applied only under certain conditions. Potential benefits are discussed using realistic numerical cases. Note to Practitioners-This article analyzes the control problem of switching off/on a machine tool for energy saving during machine idle periods. A control policy based on time information is investigated when the machine requires a startup time to resume the service after being switched off. The proposed policy works online while acquiring information from the real system. An algorithm is described for identifying and applying the optimal control parameters. The results of this research will be useful for a practical implementation of a switching policy for energy saving. This implementation requires the estimation of the power adsorbed by the machine in four different states and, therefore, it reduces the implementation effort for practitioners.

中文翻译：

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制造设备节能状态控制的在线策略


机器状态控制是加工过程中最有前途的节能措施之一。适当的控制可以通过关闭/打开机器来减少空闲期间的能源消耗。实际实施的一个关键障碍与受不确定性影响的零件到达过程的了解有关。通常假设系统中涉及的随机过程是已知的。然而，真实的生产环境受到多种随机性来源的影响，这些随机性来源很难先验地建模。这项工作提供了一种能够控制机器状态的在线基于时间的算法。通过估计随机过程的方法，该算法根据收集的一组观测值提供最佳控制参数。制定了一项新策略来管理随时间推移的控制，以便仅在某些条件下应用控制参数的变化。使用实际的数值案例讨论了潜在的好处。从业者须知-本文分析了机床闲置期间节能开关机的控制问题。当机器在关闭后需要启动时间来恢复服务时，研究基于时间信息的控制策略。所提出的策略在线工作，同时从真实系统获取信息。描述了用于识别和应用最优控制参数的算法。本研究的结果对于节能转换政策的实际实施具有重要意义。这种实现需要估计机器在四种不同状态下吸收的功率，因此，它减少了从业者的实现工作量。