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Something Doesn#039;t Sound Right: Sonification for Monitoring Business Processes in Manufacturing

机译:听起来有些不对劲:监督制造业中业务流程的声音化

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In manufacturing processes a problem during production, such as a e.g. A broken machine, can lead to a standstill and thus to a loss in revenue or even to a contractual penalty. Monitoring staff in manufacturing and in other industries therefore usually observe their business processes with systems that present process-related events and data by using different types of data visualization. This has several drawbacks, e.g. That either users cannot efficiently perform other tasks while observing their monitoring application, or in case they look at their screens only infrequently, that they risk to miss potentially time-critical events or alerts. Therefore we propose to combine current visual-based process monitoring systems with techniques from the area of sonification (the presentation of data using sound). Many factories already contain auditory alerts and alarms, but these usually do not convey a lot of information and are often considered to be obtrusive and distracting. We developed a sonification framework that can receive events from execution engines and preprocess and sonify them according to user-defined settings and filters. Different sonification prototypes for both, event-based and quantitative data (such as KPIs), have been developed and discussed during a focus group meeting with users and scientists from the domain of industrial management and production monitoring.
机译:在制造过程中,生产过程中的问题,例如损坏的机器可能导致停机,从而导致收入损失,甚至导致合同罚款。因此,制造业和其他行业中的监视人员通常使用系统来观察其业务流程,该系统通过使用不同类型的数据可视化来呈现与流程相关的事件和数据。这有几个缺点,例如用户要么无法在观察其监视应用程序时有效地执行其他任务,要么万一他们很少查看屏幕,则有可能错过可能对时间要求严格的事件或警报的风险。因此,我们建议将当前基于视觉的过程监控系统与超声处理(使用声音进行数据表示)领域的技术相结合。许多工厂已经包含听觉警报和警报,但是这些通常不会传达很多信息,并且通常被认为是令人讨厌和分散注意力的。我们开发了一个Sonification框架,该框架可以从执行引擎接收事件,并根据用户定义的设置和过滤器对其进行预处理和超声处理。在与工业管理和生产监控领域的用户和科学家举行的焦点小组会议上,针对事件数据和定量数据(例如KPI)开发了不同的超声处理原型,并进行了讨论。

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