Mowers TRIZ Cases

A drone follows priority-based travel plans to capture field attributes beyond machine sensor blind spots, reducing onboard sensing complexity.

Pre-checking and recreating combine harvester turning routes keeps autonomous travel within field outlines and avoids stops or manual corrections.

Telematic and remote sensing data are fused with yield history to plan harvesting routes and machine settings that cut grain loss and downtime.

Turning routes are checked against the field outline and recreated when needed to keep a combine harvester inside boundaries without stops.

Stereo vision and GPS align crop canopy and ground elevation data, improving yield estimation and harvester control on sloped fields.

Visual sensing lets the mower identify woody plants and cut grass beneath foliage while reducing obstacle avoidance gaps and stuck risk.

Temporal comparison of multi-sensor burst signals rejects motor and blade EMI without complex hardware, preserving fast control response.

An adjustable bearing bracket shifts the mower suspension axis to match the center of gravity and prevent tilt on uneven terrain.

By keeping the mower on the original boundary during edits, map updates become faster, more accurate, and closer to the real lawn layout.

Independent in-wheel motor control and a dual-axis hinged axle improve robot steering precision while limiting propulsion energy use.

A double-acting hydraulic cylinder with a limiting piston adjusts conveyor-to-base-plate clearance to clear blockages and maintain crop flow.

Position-guided boundary mapping adjusts a traced perimeter to predefined geometry, improving corner accuracy without boundary wires.

After a phase reversal at the boundary wire, the mower rotates to find signal peaks and re-enter the work area on a short path.

Inclined barrier deflectors in a split transmission housing redirect lubricant away from the bearing to reduce leakage without extra seals.

Direction sensor calibration and error interpolation correct dead-reckoning drift, keeping robotic work tools accurately positioned without satellite signals.

Preplanned discharge routing lets a combine move from the final harvest path to a preset unloading point without manual repositioning.

Distributed panoramic and wide-angle cameras capture crop and operation states in real time to support unmanned harvesting control.

Wind-aware control adjusts residue discharge angle, speed, and route planning to keep spread uniform and out of unharvested crop.

Image-based machine detection guides cooperative field operations without stable communication links, improving path control in remote conditions.

Position data and straight-line fitting calibrate charging station orientation accurately while avoiding magnetic interference and dual-RTK cost.

A boundary wire and signal timing replace lidar for accurate robot positioning in complex environments while lowering sensor cost.

A mobile approval workflow verifies operator proximity and machine readiness before autonomous motion, reducing handover errors and building trust.

Manual boundary tracing lets a combine map field edges and exclude obstacles that cameras or sensors may miss during autonomous travel.

Field maps from cutting, raking, and gathering data guide successive machine paths to cut fuel use, save time, and improve operator workflow.

A compensation unit between the shaft and bearing absorbs vibration and load peaks in a mowing head, extending bearing life and cutting maintenance.

In-situ sensor data and field maps are combined to predict machine settings by location, enabling more precise agricultural control.

Dual-pressure valve control switches header float arms between locked and unlocked states so the cutter bar follows ground contours without digging into soil.

Valve-controlled hydraulic locking shifts float arms between locked and unlocked states to prevent ground contact while preserving cutter bar flexibility.

Hydraulic valve control switches header float arms between locked and unlocked states so the cutter bar follows ground contours without rut damage.

LIDAR and computer vision track vehicle position, fill level, and crop trajectory to automate chute alignment and reduce spillage.

Valves, actuators, and hydraulic pressure feedback reposition header float arms to avoid ground contact while preserving cutter bar flexibility.

Hydraulic cylinders and biasing elements let header gauge wheels extend for support and retract for transport while maintaining stable clearance on uneven ground.

A neutral-element one-way clutch disconnects wheel drive during reverse or manual pushing, cutting user effort and avoiding unwanted re-engagement.

Dead reckoning and magnetic sensing move the tool out of a sheltered service station before switching to reliable satellite navigation.

Adjusting belt tensioner force during normal-to-reversing transitions helps prevent belt slippage and maintain continuous tension.

3D point cloud terrain mapping lets the controller detect subsidence and set mower routes that avoid impassable ground with less manual surveying.

In-situ sensing and field maps predict header height and tilt changes, improving crop engagement across uneven terrain.

A harvester control system predicts turns and sends a matched haulage path to maintain crop transfer while reducing misalignment and spillage.

A roller-ramp clutch transmission lets self-propelled garden machines be pushed faster or against drive force while shielding the drivetrain from debris.

Speed-driven centrifugal weights engage shaft drive surfaces automatically, removing manual clutch input while fitting within the disk perimeter.

A rotating over-center latch secures adjustable MOG limiters on combine concaves to balance grain removal with lower MOG carryover.

Tapered bushings and a resilient bushing stabilize articulating mower deck joints, reducing debris-driven wear and extending service life.

Multiple sensors at different heights are selected by harvesting-unit position to keep obstacle detection accurate in dust, fog, and swing motion.

Multiple vertically placed sensors are selected by header height to keep harvester obstacle detection accurate in dust, fog, and changing lift positions.

Real-time load feedback adjusts harvester ground speed to prevent crop processor overload, reduce downtime, and sustain throughput.

GPS-based outermost route adjustment keeps autonomous combine travel aligned with real field edges to avoid missed reaping.

Opposed eccentric cams and a balanced intermediate disk cancel couple imbalance in a gardening trimmer, reducing vibration and noise.

Sensor and map data detect slope changes so the mower can raise deck height or idle blade speed to avoid undercutting and blade damage.

Discrete belt-drive switching stages let conditioner rollers change speed ratio under load, reducing transmission complexity, fuel use, and energy waste.

Machine-verified operator proximity and walk-around checks enable safer handoff from manual control to autonomous UGV missions.