Finding significant temporal and spatial patterns in industrial process data
Finding significant temporal and spatial patterns in industrial process data
批准号:
412198-2011
负责人:
Sander, Jörg
金额:
$3.2万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2011
资助国家:
加拿大
项目状态:
已结题
起止时间:
2011-01-01 至 2012-12-31
中文摘要
工业过程,如在Syncrude发现的那些,产生大量的时间和空间。这些数据通常由用于监测过程的传感器生成,以便在设计的操作范围内保持安全、可靠的操作。例如,在操作期间施加到铲绳的功率水平随着不同的操作者和不同的位置或复杂的石油开采过程而改变,在流速、密度、成分、温度等方面被监测。
英文摘要
Industrial processes, such as those found at Syncrude, generate vast amounts of temporal and spatial. This data is typically generated by sensors used in monitoring the processes in order to maintain safe, reliable operation within the designed envelope of operation. For example, power levels applied to shovel ropes during operation change with both different operators and different locations, or a complex oil extraction process, monitored in terms of flow rates, density, composition, temperature, etc.
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海外基金