E02F9/2025

AUTOMATIC VEHICLE SPEED CONTROL SYSTEM

An automatic vehicle speed control system for use in a vehicle having an implement is disclosed. The automatic vehicle speed control system includes: a controller configured to: set a speed of the vehicle to a creep setting; monitor one or more operating conditions of the implement; and automatically adjust the speed of the vehicle based on the one or more operating conditions of the implement.

Work machine

A controller mounted in a work machine limits a velocity at which a work device approaches a design surface to be equal to or lower than a predetermined limiting velocity in such a manner that the work machine is located above the design surface when an operation device is operated. The controller determines whether a work phase of the work device is compaction work on the basis of a posture of a bucket with respect to the design surface in a case in which the operation device instructs the work device to approach the design surface, and sets the limiting velocity when determining that the work phase of the work device is the compaction work to be higher than the limiting velocity when determining that the work phase of the work device is other than the compaction work.

CONFIGURABLE MONITOR AND PARTS MANAGEMENT SYSTEM
20180005461 · 2018-01-04 ·

A monitoring and maintenance system that utilizes imperial and theoretical data to compare parts, vehicles, users, regions, wear intensity indexes over time and tracking information to provide a sophisticated data collection system for heavy-duty equipment or rental equipment. This tracking is designed to better the specifications, designs, training, preventative maintenance, and replacement wear understanding of fleet management.

CONTROL SYSTEM FOR WORK VEHICLE, CONTROL METHOD, AND WORK VEHICLE
20180002901 · 2018-01-04 ·

A control system for a work vehicle includes at least one sensor, an operating device, and a controller. The operating device includes at least one operating member. The controller is programmed to control a work implement of the work vehicle based on signals from the at least one sensor and the operating device. The controller is further programmed to use the signals to obtain a distance between the work implement and a design terrain which represents a target shape of a work object, and to determine whether a surface compaction determination condition indicating that work performed by the work implement is surface compaction work is satisfied. The controller executes a surface compaction control in which a velocity of the work implement toward the design terrain is limited in response to the distance between the work implement and the design terrain when the surface compaction determination condition is satisfied.

REMOTE FEATURE ACTIVATION IN POWER MACHINES

Implementations of the present disclosure are generally directed to activating features in power machines. More particularly, implementations of the present disclosure are directed to remote activation of features in power machines. Implementations include, methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for transmitting a request for an initialization indicator for a software package from an initialization system of a power machine comprising hardware physically capable of executing at least one function, the request being transmitted, by a communication link of the initialization system, from a machine controller of the initialization system to a remote system, communicating, by the communication link, the initialization indicator from the remote system to the machine controller, and in response to receiving the initialization indicator: storing, by the machine controller, the initialization indicator, and executing, by the machine controller, the software package to control the at least one function.

Remote feature activation in power machines

Implementations of the present disclosure are generally directed to activating features in power machines. More particularly, implementations of the present disclosure are directed to remote activation of features in power machines. Implementations include, methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for transmitting a request for an initialization indicator for a software package from an initialization system of a power machine comprising hardware physically capable of executing at least one function, the request being transmitted, by a communication link of the initialization system, from a machine controller of the initialization system to a remote system, communicating, by the communication link, the initialization indicator from the remote system to the machine controller, and in response to receiving the initialization indicator: storing, by the machine controller, the initialization indicator, and executing, by the machine controller, the software package to control the at least one function.

Work machine and work machine support server

Provided is a work machine and the like that can reduce the possibility of contact with an unmanned aircraft flying around. The degree of possibility of contact between a working mechanism (140) and an unmanned aircraft (40) is recognized on the basis of the relative position of the unmanned aircraft (40) with reference to the working mechanism (140). If it is recognized that the contact possibility is high, then the operation mode of at least one of a lower traveling body (110), an upper pivoting body (120), and the working mechanism (140) is controlled so as to reduce the contact possibility.

Vehicles with control systems to perform various functions based on payload weight and methods of operating the same

Vehicles and methods of operating vehicles are disclosed herein. A vehicle includes a main frame, a work implement, and a control system. The work implement is supported by the main frame and configured to carry a payload in use of the vehicle. The control system is supported by the main frame and configured to control operation of the vehicle. The control system includes a payload measurement system configured to provide payload input indicative of a variable payload carried by the work implement in use of the vehicle and a controller coupled to the payload measurement system.

TOUCHPAD MACHINE CONTROL

A work equipment for controllably performing work, includes: a work mechanism; a touch-sensitive device configured to output a desired position signal corresponding to a desired position of the work mechanism, the touch-sensitive device selectively operatively including a virtual mechanical control associated with producing the desired position signal; and a controller operatively coupled to the touch-sensitive device and the work mechanism, the controller configured to output an adjustment signal to the work mechanism to adjust an actual position of the work mechanism based at least partially on the desired position signal, the touch-sensitive device being configured to output the desired position signal to the controller when at least one control object is moved along the touch-sensitive device with respect to the virtual mechanical control in a manner that mimics operating a mechanical control.

Anticipatory modification of machine settings based on predicted operational state transition

Methods and systems for adjusting operating parameters of a machine in anticipation of a transition from a current operational state to a predicted subsequent operational state. An electronic controller receives a data stream indicative of actuator settings, sensor outputs, and/or operator control settings and applies a pattern detection AI that is configured to determine a current operational state of the machine based on patterns detected in the data stream. The controller then applies a reinforcement learning AI that is configured to produce as an output one or more target operating parameters based at least in part on a predicted subsequent operational state of the machine. The one or more target operating parameters are applied to the machine and at least one performance metric of the machine is monitored. The reinforcement learning Ai is retrained based at least in part on the monitored performance metric(s).