An industrial machine that includes a plurality of components, an identification tag reader, an actuator, and a controller. The plurality of components is installed in the industrial machine and each of the plurality of components includes an identification tag. The identification tag reader is receives a signal from each of the plurality of identification tags, and each signal received from the plurality of identification tags is specific to a respective one of the plurality of components. The controller identifies the plurality of components that is installed in the industrial machine based on the signals from each of the plurality of identification tags, compares the identified plurality of components to a predetermined list of components that are expected to be installed in the industrial machine, and modifies an operational setting of an operating parameter when the identified plurality of components does not match the predetermined list of components.

A work vehicle includes: a first control system that controls a traveling of a work vehicle; a second control system that controls the traveling of the work vehicle via the first control system by using set information; a first communication line used for communication between the first control system and the second control system; and a second communication line that transmits information to the first control system from the second control system, wherein the second control system generates information for controlling an engine of the work vehicle and information for controlling a brake device of the work vehicle, and transmits the information for controlling the engine and the information for controlling the brake device to the first control system via the second communication line by an information transmission system different from an information transmission system by the first communication line.

Movement data of a plurality of positions on an observation object performing a predetermined movement action is acquired, feature data is generated by performing frequency analysis on the movement data, a transition sequence of a primitive action is extracted by segmenting the feature data, and based on the transition sequence and an action model obtained by learning a transition sequence of a primitive action obtained by segmenting a movement state of a training object performing a movement action, an occurrence rate of the primitive action in the predetermined movement action is analyzed to extract a pattern of the primitive action, thereby predicting an end timing of the predetermined movement action.