US 11,721,195 B2
Augmented industrial management
Braden Stenning, Ottawa (CA); Martin Cloake, Ottawa (CA); and James Robinson, Ottawa (CA)
Assigned to RAVEN TELEMETRY INC., Ottawa (CA)
Filed by Raven Telemetry Inc., Ottawa (CA)
Filed on Oct. 5, 2018, as Appl. No. 16/152,441.
Claims priority of provisional application 62/569,338, filed on Oct. 6, 2017.
Prior Publication US 2019/0108747 A1, Apr. 11, 2019
Int. Cl. G08B 21/18 (2006.01); F16P 3/00 (2006.01); G05B 23/02 (2006.01); G05B 19/05 (2006.01)
CPC G08B 21/187 (2013.01) [F16P 3/00 (2013.01); G05B 19/05 (2013.01); G05B 23/0235 (2013.01); G05B 2219/15117 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A system for improving operator performance in augmented industrial management of a manufacturing process, the system comprising:
a plurality of industrial machines, each industrial machine operated by an operator and comprising:
a machine tap comprising an input device and a sensor connected to the industrial machine for collecting raw performance data from the industrial machine continuously over time about machine function from one or more sensor readings, the raw performance data comprising machine state data;
a machine user interface connected to the machine tap comprising a screen and a graphical user interface for collecting and displaying context data on operation of the industrial machine from the operator using tag inputs, wherein the machine user interface provides the operator with real-time information on the machine function and process productivity and queries the operator with one or more tags to enter data on the function of the industrial machine describing the machine state at a particular time, the context data comprising an identification of the operator operating the industrial machine;
a server connected to the machine user interface of each of the plurality of industrial machines for aggregating the performance data and the context data for each of the plurality of industrial machines;
an analytics engine, in a processor, for generating analytics data and detecting trends in operator performance based on the performance data and the context data to compare physical parameters against known engineering limits and identify optimized process characteristics of an individual outperforming operator;
an alert engine, in a processor, comprising an algorithm for comparing the performance data, the context data, and the analytics data of each of the plurality of industrial machines against a trigger definition, the alert engine creating an alert if the trigger definition is satisfied comprising a prescriptive action for the operator to improve operator process performance compared to the individual outperforming operator, the trigger condition based on the machine state; and
a remote device for receiving the alert created by the alert engine by the operator, the alert indicating instructions for the operator to take the prescriptive action comprising the optimized process characteristics to improve the operator process performance, the prescriptive action identified as improving the operator process performance to limit loss or contribute to productivity gain in the industrial process.