Patent ID: 11947322
Assignee: nan
Field: Handling (Mechanical engineering)
Classification: CPC G  B  H  Y | IPC B  G

Claim 17:
18. A method comprising:
acquiring data items associated with an actuator of a factory system from at least one of a plurality of nodes of the factory system, the plurality of nodes including a control device to control the actuator;
constructing readable data which is readable from a learning system, the readable data including the data items;
storing the readable data in a data memory which is accessible from a learning system via a network, wherein the learning system extracts records for machine learning from the readable data and generates an estimation model for estimating a condition of the actuator based, at least in part, on the records for machine learning;
storing a plurality of estimation models including the estimation model;
evaluating an estimation accuracy of each of the estimation models based, at least in part, on the records for machine learning stored in a record storage and estimation results of the condition of the actuator by the plurality of estimation models;
generating display data including an evaluation result of the estimation accuracy;
receiving a model designation from at least one of the nodes of the factory system;
transmitting, to the at least one of the nodes, one of the plurality of estimation models according to the model designation; and
estimating the condition of the actuator based, at least in part, on the transmitted estimation model.