Abstract: A data collection device comprises circuitry configured to: store one or more collector programs, one or more analyzer programs, and a database accessor program; execute one or more programs selected from the one or more collector programs and the one or more analyzer programs to generate data having an array structure in which each record is identified by a position in a data arrangement; transfer data generated by execution of the selected one or more programs to the database accessor program as the registration data; and execute the database accessor program to convert the generated data from the array structure into a predetermined database format based on the data arrangement of the registration data and register the transferred data in a database.

Abstract: An information collection device comprising circuitry configured to: accumulate, in a database, a control signal of a local device having a motor, the local device being a part of a production system of one or more workpieces, the control signal including internal information of the local device generated during operation of a plurality of processes; extract a signal set accumulated during one process of the plurality of processes from the control signal accumulated in the database based on a predetermined extraction condition; and generate an evaluation result of the one process based on the signal set.

Abstract: A control system for an actuator includes a non-transitory computer readable medium storing a database in which first information, second information and third information are stored and correlated with each other, and processing circuitry that performs machine learning based on the first information, the second information and the third information stored in the database. The first information is associated with a rotational speed of a reducer in the actuator, the second information is associated with a torque acting on the reducer, the third information indicates a concentration of iron powder in grease in the reducer, and the machine learning builds a concentration estimation model indicating a relationship between the first information, the second information and the third information.

Abstract: A control system for an actuator includes a non-transitory computer readable medium storing a database in which first information, second information and third information are stored and correlated with each other, and processing circuitry that performs machine learning based on the first information, the second information and the third information stored in the database. The first information is associated with a rotational speed of a reducer in the actuator, the second information is associated with a torque acting on the reducer, the third information indicates a concentration of iron powder in grease in the reducer, and the machine learning builds a concentration estimation model indicating a relationship between the first information, the second information and the third information.