Mowers TRIZ Cases

A sealed casing, internal fan, and air guide recirculate cooling air to keep work vehicle batteries uniform and free from debris clogging.

Two battery-signal terminals and a latch circuit maintain discharge lockout despite communication faults, protecting power-tool battery packs.

Multiple crop sensors across the header detect actual harvesting width, improving field-work data accuracy without disrupting crop conveyance.

A follower vehicle uses lead-vehicle turn radius, offset targets, and speed control to hold formation through curves without unsafe slowing.

A spring-loaded wheel ahead of the combine detects loose or muddy soil early and alerts the operator before the machine gets stuck.

When DGNSS or RTK switching shifts a vehicle's self-position, auto-run control blocks operation to preserve stability and work accuracy.

Frequency analysis of induced voltage isolates distortion components to detect chopping knife wear and sharpness at high drum speeds.

When DGNSS or RTK positioning changes, auto-run is blocked or delayed to avoid position shifts that destabilize the work vehicle and reduce accuracy.

When power is limited, dynamic priority control raises cooling loads based on temperature feedback to prevent unnoticed overheating.

A clamped mount places a mobile screen behind the steering wheel, keeping mower data visible and stable on uneven terrain.

Boundary signal sensing plus ground-property detection lets an outdoor robot stay within edges without precise boundary wire installation.

A thin diffusion-hardened surface over a through-hardened core helps agricultural cutting blades resist abrasion, chipping, and edge dulling.

Individually driven corn head rows automate engagement, speed, and gap control while detecting plugs and capturing row-level yield data.

Real-time agronomic and vehicle parameters guide path choice at field decision points to reduce crop damage, soil compaction, and safety risk.

A deformed contact surface around the mounting hole lets an agricultural cutter knife blade be installed on either side of the knife rail.

Requiring a pressed travel allowance switch lets a combine follow a preset route while preventing accidental start or continuation of autonomous travel.

A lower limit on rows per pass lets a combine plan field routes that avoid small-row harvesting, improving threshing accuracy and reducing straw entrapment.

Context-related maps replace base maps to set agricultural work parameters faster, improving response to local field conditions.

A dedicated hydraulic lock valve secures the height-adjustable reel during header maintenance, preventing unintended lowering with one switch.

Preclassified combine routes require operator input only in high-risk sections, reducing unintended autonomous travel while preserving workability.

A predefined trapezoidal mowing route improves full lawn coverage, cuts mowing time, and avoids repeated lines that leave visible traces.

Recorded geographic points let an automatic mower define and follow custom work paths, improving precise mowing in complex terrain.

When an autonomous working machine nears a corner, pose adjustment increases boundary clearance to avoid collisions while preserving coverage.

Predictive field maps guide reel height, position, and speed by location to improve harvest quality and reduce missed crops, wrapping, and shattering.

Operator-adjustable transition positions let a combine switch from reaping to discharge travel without leaving unworked rows or disrupting auto travel.

Automatic switching between row-sense and GPS guidance at headland boundaries avoids false crop detection, saving energy and wear.

Compares harvester and remote processing data to generate correction factors that improve yield and crop parameter accuracy during harvesting.

When an autonomous working machine reaches an inner corner, pose adjustment increases boundary clearance to avoid collisions and missed cuts.

Serrated edges and angled grooves cut wear, lower cutting resistance, and clear debris on rotary forestry drums.

Voronoi-based target points guide a robot to capture balanced images across a working area, improving record completeness without exhaustive coverage.

A dual-piston hydraulic cylinder adjusts crop conveyor clearance from the floor plate to prevent blockages and handle varying crop volume.

Route-length-based speed control keeps a work vehicle slow on short straight segments between turns to reduce abrupt acceleration and improve stability.

A rule-based driver assistance system coordinates harvester settings across working elements to improve efficiency, trace interactions, and cut energy use.

Predictive field maps guide reel height, fore-aft position, and speed to keep crop handling consistent across changing harvest conditions.

In-situ sensing and field maps predict slope-driven machine behavior, enabling automatic harvester adjustments for grain quality and power use.

Wind-aware residue control uses field coverage and sensor data to keep chaff out of unharvested areas and maintain even spread.

A pivoting output pulley adjusts belt tension to hydraulic pump load, cutting wear, preventing slip, and improving mower drive efficiency.

A modular add-on kit enables remote control of lawn mowers and utility carts without permanent changes, preserving warranties and bagging.

Shiftable guidance lines let a harvester realign to crop rows, balancing header load and improving conveyor operation during harvesting.

A virtual lawn model replaces random mowing, letting the mower train policies that improve cutting and drive control with less manual intervention.

Heuristic-generated field routes train the model faster and with less bias, improving agricultural vehicle route prediction.

Image sensors and GNSS map hidden roadside obstacles so mowing vehicles can avoid telecom boxes, debris, and equipment damage.

Image sensors and GNSS map hidden roadside obstacles so mowing vehicles can avoid telecom boxes, debris, and equipment damage.

Interconnected piston locks and a control link secure raised headers and feeders while reducing operating space and manual locking effort.

LIDAR and image sensing map hidden roadside obstacles so mowing vehicles can avoid telecom and power boxes while cutting costs.

Image-based boundary and obstacle detection steers a self-moving robot to improve area coverage, reduce repeat passes, and return efficiently.

A logarithmic spiral blade and speed-reducing drive cut trees at ground level with low power, fewer moving parts, and a minimal stump.

Maintains autonomous travel mode during stops or low positioning accuracy, enabling seamless resumption without extra operator actions.

Multi-axis sensing on a robotic mower detects positioning signals on a boundary wire to improve location accuracy within the working area.

Conditional mode retention lets an autonomous work vehicle resume travel after stops or low positioning accuracy without manual reactivation.