Abstract: A state management device manages the state of a work machine. The work machine includes a work device, a posture sensor that senses posture information regarding the work device, and an action sensor that senses action information regarding actuators. The state management device includes a controller that performs a computation on the basis of the results of sensing performed by the posture sensor and the action sensor, and an output device that outputs the result of computation performed by the controller, in a recognizable manner. On the basis of the posture information regarding the work device and the action information regarding the actuators, the controller computes the cumulative damage degree of a driven member, stores temporal changes in the cumulative damage degree at a predetermined position of the driven member, and outputs the temporal changes in the cumulative damage degree at the predetermined position to the output device.

Abstract: The present disclosure provides a fatigue management system capable of managing fatigue of each portion of a construction machine more accurately than conventional systems. The fatigue management system S includes: a stress calculation section S1 that calculates stress acting on a plurality of portions of the construction machine based on the output of a sensor 18 attached to a part of the construction machine; a damage degree calculation section S2 that calculates the cumulative damage degree of each portion of the construction machine based on the stress calculated by the stress calculation section S1; and an index value calculation section S3 that calculates a fatigue index value, which is a weighted value of the cumulative damage degree, for each portion.

Abstract: To provide a technique where a case of shutting off a battery shutoff switch while a key switch is on is detected, and a warning according to a risk can be issued at time of restart. A construction machine includes: the key switch, an engine start switch, an engine stop switch, a notification device, a controller, and the battery shutoff switch. The controller chronologically stores operation histories of the key switch, engine start switch, and engine stop switch in a history storage section in a non-volatile manner. The controller determines, on the basis of the stored operation history, a risk content in a case of shutting off the battery shutoff switch while the key switch is on. In a case where, the controller is restarted by resuming the battery shutoff switch and turning on the key switch, the controller controls the notification device so that the notification device issues a warning according to the risk content, on the basis of a result of the determination.

Abstract: A working machine, equipped with a working device that extends to the outside of a machine body, includes: a physical quantity detection sensor (that detects a physical quantity concerning the working machine; a monitor that displays predetermined information; and a controller that controls the monitor. The controller includes a stress calculation section that calculates a distribution of stress applied to the working device based on the physical quantity concerning the working machine, detected by the physical quantity detection sensor, and a display control section that controls the display of the predetermined information on the monitor. The display control section controls the display on the monitor so as to indicate the distribution of the stress applied to the working device, calculated by the stress calculation section, in conjunction with the movement of the working device.

Abstract: Provided is a movement identification device capable of identifying a specific motion of a construction machine based on the output of a sensor attached to the construction machine with higher accuracy than the conventional technology. A movement identification device 100 includes a waveform generation unit 111, a waveform storage unit 121, and a motion identification unit 112. The waveform generation unit 111 generates a force waveform based on the signal of a force sensor that detects the force acting on the construction machine and an attitude waveform based on the signal of an attitude sensor that detects the attitude of the construction machine. The waveform storage unit 121 stores reference waveforms, which are combinations of force waveforms and attitude waveforms corresponding to specific motions.

Abstract: The present disclosure provides a fatigue management system capable of managing fatigue of each portion of a construction machine more accurately than conventional systems. The fatigue management system S includes: a stress calculation section S1 that calculates stress acting on a plurality of portions of the construction machine based on the output of a sensor 18 attached to a part of the construction machine; a damage degree calculation section S2 that calculates the cumulative damage degree of each portion of the construction machine based on the stress calculated by the stress calculation section S1; and an index value calculation section S3 that calculates a fatigue index value, which is a weighted value of the cumulative damage degree, for each portion.

Abstract: To provide a technique where a case of shutting off a battery shutoff switch while a key switch is on is detected, and a warning according to a risk can be issued at time of restart. A construction machine includes: the key switch, an engine start switch, an engine stop switch, a notification device, a controller, and the battery shutoff switch. The controller chronologically stores operation histories of the key switch, engine start switch, and engine stop switch in a history storage section in a non-volatile manner. The controller determines, on the basis of the stored operation history, a risk content in a case of shutting off the battery shutoff switch while the key switch is on. In a case where, the controller is restarted by resuming the battery shutoff switch and turning on the key switch, the controller controls the notification device so that the notification device issues a warning according to the risk content, on the basis of a result of the determination.

Abstract: A guide controller that displays an operation guide image for a hydraulic excavator acquires operation signals outputted from operating devices formed of electric operating levers and stores them in a collected data storage section, compares strokes of the operating devices as derived from the operation signals, which are stored in the collected data storage section, with standard strokes corresponding to standard operation procedures out of standard operation pattern data stored in a standard operation pattern storage section, and, if a deviation equal to or greater than a predetermined standard stroke threshold is determined to exist between at least one of the strokes and the corresponding standard stroke, to read the operation guide image from the standard operation pattern storage section and to display it on a display.

Abstract: An operational data storage device mounted on an hydraulic excavator is programmed to store operational data including stroke data and movement quantity data. The stroke data represent input operations by the operator of the hydraulic excavator through electric operating levers, and the movement quantity data represent movement quantities of operating members for a front working device equipped with the hydraulic excavator, the operating member being operated according to the input operations. The operational data storage device stores, in an initial state, the operational data in the volatile storage section, generates a save and exit signal if a posture parameter detected at a posture detection sensor included in the hydraulic excavator exceeds a predetermined posture threshold, and responsive to the save and exit signal, switches a write destination of the operational data from the volatile storage section to the non-volatile storage section.

Abstract: A guide controller that displays an operation guide image for a hydraulic excavator acquires operation signals outputted from operating devices formed of electric operating levers and stores them in a collected data storage section, compares strokes of the operating devices as derived from the operation signals, which are stored in the collected data storage section, with standard strokes corresponding to standard operation procedures out of standard operation pattern data stored in a standard operation pattern storage section, and, if a deviation equal to or greater than a predetermined standard stroke threshold is determined to exist between at least one of the strokes and the corresponding standard stroke, to read the operation guide image from the standard operation pattern storage section and to display it on a display.

Abstract: An operational data storage device mounted on an hydraulic excavator is programmed to store operational data including stroke data and movement quantity data. The stroke data represent input operations by the operator of the hydraulic excavator through electric operating levers, and the movement quantity data represent movement quantities of operating members for a front working device equipped with the hydraulic excavator, the operating member being operated according to the input operations. The operational data storage device stores, in an initial state, the operational data in the volatile storage section, generates a save and exit signal if a posture parameter detected at a posture detection sensor included in the hydraulic excavator exceeds a predetermined posture threshold, and responsive to the save and exit signal, switches a write destination of the operational data from the volatile storage section to the non-volatile storage section.