Patent classifications
B60S9/10
JACK DEVICE AND WORK MACHINE EQUIPPED WITH SAME
Provided is a jack device rendering an operation of changing the posture of a jack cylinder easy without using a device that actively changes the posture. The jack device includes an arm, a jack body including the jack cylinder, and a reaction-force application unit supported by the arm. The reaction-force application unit makes a reaction-force moment act on the jack body in all postures from the upright posture to the storage posture in response to a force applied from the jack body. The reaction-force application unit makes a reaction-force moment greater than a self-weight moment act on the jack body in the storage posture and makes a reaction-force moment smaller than the self-weight moment act on the jack body in the upright posture.
LEANING CONTROL SCHEME FOR A FIRE APPARATUS
A vehicle includes a chassis, an implement assembly coupled to the chassis, a stability system coupled to the chassis, and a control system. The stability system includes extendable components that selectively engage a ground surface. The control system is configured to control the stability system to level the vehicle and enable the stability system to lean the vehicle when an operational capability of the implement assembly is at a limit thereof while the vehicle is level to effectively improve the operational capability relative to when the vehicle is level.
Built-in vehicle jack
A system for optimizing a machine learning model. a machine learning model that generates predictions based on at least one input feature vector, each input feature vector having one or more vector values; and an optimization module with a processor and an associated memory, the optimization module being configured to: create at least one slice of the predictions based on at least one vector value, determine at least one optimization metric of the slice that is based on at least a total number of predictions for the vector value, and optimize the machine learning model based on the optimization metric.
Built-in vehicle jack
A system for optimizing a machine learning model. a machine learning model that generates predictions based on at least one input feature vector, each input feature vector having one or more vector values; and an optimization module with a processor and an associated memory, the optimization module being configured to: create at least one slice of the predictions based on at least one vector value, determine at least one optimization metric of the slice that is based on at least a total number of predictions for the vector value, and optimize the machine learning model based on the optimization metric.
Self-trailering grain bagging machine on four wheels
A self-trailering grain bagging machine on four wheels for storing grains and seeds inside a silo bag. The machine has a grain receiving hopper within which a compression auger encased in an auger tube. The auger is driven by mechanical means powered from a tractor's power take-off. The machine is mounted on a frame fitted with paired crossmembers at its left and right hand sides. Each crossmember is mounted upon a pair of wheel supports. The wheel supports are capable of gyrating relative to the crossmembers. The wheel supports carry one wheel that wheel rotates along with said wheel support. A work tongue is attached to the front side of the frame. The work tongue pivots relative to a horizontal axis. A transport tongue is attached to one crossmember wherein the wheels remain aligned in the direction intended for work and when turning said wheel supports by 90 degrees.
JACK, VEHICLE, AND JACK-UP SYSTEM
The jack includes an upper support portion (upper plate) fixed to the lower portion of the vehicle body, and an airbag provided below the upper support portion (upper plate) and inflated and deployed by the supply of gas. According to the jack, the airbag is inflated and deployed under the vehicle body by the supply of the gas. When the gas is further supplied to the airbag in contact with the ground, the vehicle body fixed to the upper support portion (upper plate) is lifted. When the vehicle body is lifted in this manner, the state of contact between the wheels and the ground is changed, and the vehicle can escape from the stacked state.
JACK, VEHICLE, AND JACK-UP SYSTEM
The jack includes an upper support portion (upper plate) fixed to the lower portion of the vehicle body, and an airbag provided below the upper support portion (upper plate) and inflated and deployed by the supply of gas. According to the jack, the airbag is inflated and deployed under the vehicle body by the supply of the gas. When the gas is further supplied to the airbag in contact with the ground, the vehicle body fixed to the upper support portion (upper plate) is lifted. When the vehicle body is lifted in this manner, the state of contact between the wheels and the ground is changed, and the vehicle can escape from the stacked state.
CARGO TRANSPORT SYSTEM
A cargo transport system is provided that has an ability to move cargo in an autonomous or semi-autonomous manner, using a compact lift vehicle capable of lifting relatively heavy objects. The system includes a cargo loading system, a sensor suite coupled with a controller, dunnage detection, cross-decking capability, cargo stacking capability, autonomous navigation, tip detection and prevention, or any combinations thereof. The system may include a fork assembly coupled with a mast and movable in a vertical direction relative to the mast. Further, the mast may be coupled with a platform or deck and movable in a horizontal direction relative to the platform, to allow the fork assembly to be lowered below a top plane of the platform when the mast is at a forward location relative to the platform. The controller and sensor suite and may provide for autonomous or semi-autonomous control and movement of the cargo transport system.
CARGO TRANSPORT SYSTEM
A cargo transport system is provided that has an ability to move cargo in an autonomous or semi-autonomous manner, using a compact lift vehicle capable of lifting relatively heavy objects. The system includes a cargo loading system, a sensor suite coupled with a controller, dunnage detection, cross-decking capability, cargo stacking capability, autonomous navigation, tip detection and prevention, or any combinations thereof. The system may include a fork assembly coupled with a mast and movable in a vertical direction relative to the mast. Further, the mast may be coupled with a platform or deck and movable in a horizontal direction relative to the platform, to allow the fork assembly to be lowered below a top plane of the platform when the mast is at a forward location relative to the platform. The controller and sensor suite and may provide for autonomous or semi-autonomous control and movement of the cargo transport system.
Self Leveling Trailer and Loading Ramps
A heavy vehicle and machinery trailer having: (i) a trailer base with wheels and suspension; (ii) a trailer bed supported on the trailer base by the suspension; (iii) loading ramps connected to the trailer bed where the suspension, or other methods such as hydraulically operated landing legs, are adapted to allow an operator to alter the pitch and/or roll angle of the trailer bed relative to the ground surface and wherein where the loading ramps are adapted to have varying lengths such that the ramps can be evenly pitched when they are extended to the ground on a sloped surface. The trailer has a hydraulic system under the control of an electrical controller which is operated by a user. The electrical controller has a preset matrix of safe loading and unloading parameters which it uses to determine whether the sensed state of the trailer is safe for loading or unloading.