发明名称 Automation management system and method
摘要 Disclosed herein is a method for monitoring performance of equipment located in an automation environment including identifying a sequence of tasks performed by the equipment, wherein each task in the sequence is defined by a series of signals; for each task in the sequence: (a) collecting data pertaining to the series of signals; (b) determining a completion time based on the collected data; and (c) determining a difference between the determined completion time and a predetermined reference value indicative of an expected completion time; repeating (a)-(c) for a plurality of repetitions of the sequence; summing, over the plurality of repetitions of the sequence, at least some of the determined differences to calculate an accumulated variance value for each given task; and selectively generating a predictive failure indication based on the accumulated variance values.
申请公布号 US9261862(B2) 申请公布日期 2016.02.16
申请号 US201414492275 申请日期 2014.09.22
申请人 BEET LLC 发明人 Wang David;Red Daisy;Nausley Ivan
分类号 G05B9/02;G06F11/30;G05B23/02;G06N5/04 主分类号 G05B9/02
代理机构 Quinn Law Group, PLLC 代理人 Quinn Law Group, PLLC
主权项 1. A method for monitoring performance of equipment located in an automation environment, comprising: identifying a sequence of tasks performed by the equipment, wherein each task in the sequence is defined by a series of signals; for each task in the sequence: (a) collecting, using one or more processors, data pertaining to the series of signals; (b) determining a completion time based on the collected data using the one or more processors; and (c) determining, using the one or more processors, a difference between the determined completion time and a predetermined reference value indicative of an expected completion time; repeating (a)-(c) for a plurality of repetitions of the sequence; summing, over the plurality of repetitions of the sequence and using the one or more processors, at least some of the determined differences to calculate an accumulated variance value for each given task; and selectively generating a predictive failure indication based on the accumulated variance values.
地址 Plymouth MI US