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首页> 外文会议>Mechatronics, 2009. ICM 2009 >Development of operator support system with primitive static states for intelligent construction machinery
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Development of operator support system with primitive static states for intelligent construction machinery

机译：具有原始静态的智能工程机械操作员支持系统的开发

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摘要

Double-front construction machinery (DFCM), which has been developed for adaptation to complicated work, demands higher operational skills to control double fronts with more multiple joints. To handle DFCM skillfully for performing more complicated works, intelligent functions that can autonomously distinguish between diverse states and also provide informational and operational supports to their operators are inevitably required. In particular, a state identification method strongly requires high reliability and robustness due to the complexity of the construction work environment and the variety of the operator's skill level. However, most of the current construction machinery has unique functions that only reproduce the movements that are originated by the operator. In this study, which focuses on DFCM, we addressed the need for a new conceptual design of an operator support system (OSS) and evaluated it using our newly developed simulator. Our experimental results showed that the OSS improves the work performance, including decreasing the operational time for completing a task, reducing the mental workload on the operators, and the number of error operations.
机译：为适应复杂的工作而开发的双前部工程机械（DFCM）需要更高的操作技能，以控制具有多个关节的双前部。为了熟练地处理DFCM以执行更复杂的工作，不可避免地需要智能功能，这些功能可以自动区分各种状态，还可以向操作员提供信息和操作支持。特别地，由于建筑工作环境的复杂性和操作者技能水平的变化，状态识别方法强烈要求高可靠性和鲁棒性。但是，当前大多数工程机械具有独特的功能，这些功能只能再现操作员发起的运动。在这项针对DFCM的研究中，我们解决了对操作员支持系统（OSS）进行新概念设计的需求，并使用我们新开发的模拟器对其进行了评估。我们的实验结果表明，OSS可以改善工作性能，包括减少完成任务的操作时间，减少操作员的心理工作量以及错误操作的次数。

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