Mowers TRIZ Cases

Vegetation sensors map grass height, color, and moisture so robotic lawnmowers can adapt mowing schedules and protect lawn health.

Sensor-based velocity adjustment cuts cross-track error in implement-equipped machines, improving row alignment, coverage, and soil protection.

Forward-looking turn detection adjusts harvester spout and flap positions in advance to keep trailer filling even and reduce crop loss.

Topographic and in-situ sensor data are combined to predict harvester power demand, grain loss, and instability before slope changes.

Operator-guided perimeter teaching lets a robot lawnmower map lawn boundaries for accurate confinement with less sensor complexity.

Camera feedback adjusts chop quality and spread in real time to keep harvester residue coverage uniform across adjacent passes.

Varying transit-zone routes prevents permanent trails while preserving autonomous navigation, coordination, and obstacle avoidance.

Local magnetic field changes along a loop wire let soil robots detect marked points, leave repetitive tracks less often, and return more directly.

An integrated lock member and trigger simplify handheld cutter startup while preventing accidental activation and reducing mechanism complexity.

Dynamic and static obstacles are separated into localized repulsion areas, enabling agricultural vehicles to plan V2V paths with less computing load.

Using identical coupling members, this case shows how secure shaft engagement can be maintained while cutting tool assembly complexity and cost.

Ground surface signatures let a vehicle localize on a virtual rail path with lower computation than SLAM and more stable guidance.

An integral bellows and mounting substrate seals the shell suspension, easing assembly while resisting dirt, moisture, and flex fatigue.

A spring-reset protrusion locks the output shaft during servicing, then auto-releases at startup to prevent transmission damage.

Planetary or cycloidal gearing amplifies hand torque so power tool implements can be changed securely without extra tools in harsh conditions.

Shared georeferenced field maps let agricultural machines avoid replanting or reharvesting while improving yield calculation accuracy.

Camera-based fill monitoring sends repositioning cues to a mobile device so the receiving vehicle can stay aligned, fill evenly, and reduce spillage.

A protrusion-and-groove shaft lock secures the tool during part replacement, then auto-releases to avoid transmission damage.

By matching detected object locations with known parcel features, the mower keeps tighter clearance to fixed obstacles and avoids unknown ones.

A rotatable hub and over-center latch let the trimmer fold for storage while protecting the battery-to-motor cable from repeated damage.

A spring-biased pin auto-aligns with the header frame to lock or free arm rotation, cutting delay when switching cutter bar modes.

Server-based path planning and GNSS positioning improve robotic mower safety, multi-robot coordination, and mowing accuracy with less onboard complexity.

Infrared and ultrasonic sensing enables automatic harvesters to map farmland, avoid obstacles, and re-plan routes to reduce fatigue.

Sensors track load, acceleration, and location to map field obstacles and trigger implement adjustment before overload or damage.

Different energization modes for adjacent area wires suppress magnetic signal interference and improve autonomous boundary detection.

When common-view satellites fall below thresholds, the mower switches RTK base stations using trajectory matching and coordinate transformation.

Closed-loop sensing and hydraulic adjustment keep mechanical weeding depth and level stable on inclined, soft paddy ground.

Route-specific allowance control requires button press on high-risk combine paths, preventing unintended autonomous travel without slowing low-risk work.

A central variable-speed reel drive between adjacent header reels preserves cutting width while adapting torque and speed to crop conditions.

By recording and comparing cable-generated magnetic field values, the mower docks precisely with simpler hardware and freer station placement.

A control unit estimates battery charge against work completion to avoid blockage, cut downtime, and decide when to save energy or dock.

Forward-looking turn detection adjusts harvester spout and flap position before curved or headland turns to reduce spillage and keep filling accurate.

Dynamic offset switching lets a robotic work tool cross boundary wires by condition, improving edge coverage and reducing stuck risk.

Portable devices use vehicle positions to estimate trailer fill level and predict handover timing, cutting empty trips and field wait time.

Calibrated voltage waveforms keep boundary-wire current and electromagnetic signal shape consistent despite user changes in loop length and layout.

A hinged pole and protected cable hub let a string trimmer fold compactly for transport and storage without cable pinching or accidental release.

Predicted vehicle position guides steering correction to avoid oversteer and keep autonomous work vehicles aligned with the target path.

A slim spur-gear transmission replaces belts in a flail mower to expand working width, cut power loss, and reduce maintenance.

Field-edge seed tracks are replicated across headlands to guide autonomous farm machinery with precise turns, less crop damage, and better field use.

Camera-based AI segments crop rows from background to guide self-propelled harvesters accurately without costly laser sensors.

Cloud-based collaborative maps merge GPS coverage from multiple machines to prevent replanting and improve yield calculation accuracy.

Boundary mapping is built from key target points instead of buried wires or dense position data, cutting mower hardware needs and map workload.

A harvester shares its recorded lane so the transport vehicle can follow in parallel, cutting path computation while keeping crop transfer aligned.

In-situ sensing and field maps predict local crop conditions so harvester speed can adapt automatically and keep feed rate more consistent.

Adjusting the outermost field-edge route during autonomous harvesting prevents deviation and unreaped areas when pre-created paths no longer match.

Dual motors drive meshed cutter gears at slightly different speeds to keep one-way tooth loading, reducing chatter and gear wear.

Laser cladding hardens auger flight edges against abrasive wear while limiting heat input that can distort thin flighting.

In situ plant detection corrects field map position errors so agricultural machines stay aligned with crop rows during spraying and harvesting.

Virtual boundary lines on a working area map let autonomous utility vehicles split zones and stay in preferred regions without re-laying wire.

When an abnormality is detected during autonomous reaping, the combine stops, backs up a set distance, and resumes work with less downtime.