Analogue Computers For Vehicles TRIZ Cases

Force-sensor landing perches automate UAV pre-flight checks, charging, and launch approval to improve delivery safety without manual delays.

A pre-opening conditioning pulse frees a stuck fuel vapor retention valve before loading measurement, improving vapor control and reducing emissions.

Time-series pulse wave changes estimate each occupant's thermal sensation, enabling shared-space comfort control despite individual differences.

Multiple torque maps switch by speed, load, slope, and driver mode to curb invalid pedal fluctuation, improve fuel economy, and cut emissions.

Pre-mapped engine noise data guides air-fuel and rpm control to cut vehicle acoustic emissions and give drivers actionable feedback.

Camera and inertial sensor fusion adds context to traffic event detection, helping attribute cause and reinforce safe driving behavior.

ERP-based brain wave monitoring detects unstable driver states and links them to driving data for safer simulation and error-aware models.

Shelf slat sensing lets an autonomous warehouse vehicle verify rack position for accurate case transfer and fewer placement errors.

Baseline changes between a controller and UAV are measured with satnav sensors and mapped into precise motion commands for tight-space maneuvers.

By selecting and combining learning models from sensor-derived state data, this case improves fuel-mix command accuracy without manual map creation.

Hover power, motor speed, and load-cell data reveal unauthorized drone payloads before or during flight to protect safety and certification.

Throttle rate-of-change and RPM thresholds trigger engine sound enhancement only during spirited driving, preserving quiet cruising.

Sequential probe traces are compared with calculated road paths to detect attribute errors faster and keep transportation network data accurate.

Median and standard deviation filtering isolate mechanical vibration from knock signals, enabling more accurate ignition timing control.

Mobile endpoints combine signal readings with location data to map poor coverage regions automatically, cutting survey time and cost.

Noise-robust acoustic signatures and hybrid neural networks separate vehicle sounds from background noise for accurate real-time classification.

Pre-stored correction curves and calibration feedback linearize microwave sweeps, limiting temperature drift in multi-lane traffic sensing.

Corrected fuel rail pressure data removes injector and pumping artefacts, improving injected fuel quantity estimation from PDA.

An electric motor/generator pre-rotates the fueled-off engine with decompression active, enabling stable restart with lower energy use.

Gain-scaled integrative correction smooths handoffs between actuators, stabilizing boost pressure and reducing driver-perceptible jerks.

A four-dimensional wind profile uses aircraft and target measurements to predict descent conditions.

Control device stops heater energization based on outside air and cooling water temperatures to protect the exhaust gas sensor.

A fuel-saving drive recommendation system calculates required driving force using a determination gear signal.

Cycling the EGR valve measures nitrogen oxide changes to diagnose sensor functionality while avoiding continuous intrusive monitoring.

Alternating engine operating points enables separate adaptation of additive offset and multiplicative slope errors in sensor monitoring.

Ion sense feedback monitors combustion burn rate via spark plug signals, adjusting ignition timing to resolve stability issues while maintaining fuel economy.

A modular aircraft control system uses an interruptible link to connect alternate source modules without removing existing equipment.

Real-time position verification compares calculated takeoff distance with remaining runway length, preventing overruns caused by navigation errors.

A controller maintains fuel cell voltage during key-off periods to prevent stack deterioration.

A controlled detonation engine oxidizes fuel in a thermal chamber to transfer energy rapidly.

Autonomous onboard processing eliminates off-board data correlation errors and delays, enabling accurate fuel evaluation.

Genetic algorithms optimize auxiliary takeoff trajectories to maximize aircraft weight while ensuring safe obstacle clearance during engine breakdowns.

A system prioritizes and broadcasts traffic information to vehicles based on road type and route relevance.

Electronically controlled CVT adjusts transmission ratio to match wheel speed with vehicle velocity, reducing peak mechanical torque on the drive train.

A genset controller adjusts power output before external load changes occur to stabilize engine speed.

Frequency-dependent motor current control reduces smooth road shake vibrations while maintaining system stability.

Correcting the sensor signal for exhaust gas temperature, flow velocity, and voltage improves determination of accumulated sooty particle loading.

Scalar deceleration value generated from landing aircraft braking data replaces subjective pilot observations with objective electronic measurement.

A computer device calculates remaining range by dynamically limiting maximum velocity and acceleration based on available energy reserves.

Controller compares actual and targeted machine velocities to trigger implement shaking, reducing material clinging during dumping operations.

Active Sets solver reduces iterations in model predictive control, enabling real-time optimization on embedded systems with limited processing power.

A conditions control module simulates lighting and weather along a planned route to support navigator decision-making.

A speed controller device intercepts throttle sensor signals to dynamically adjust maximum vehicle speed based on real-time navigation data.

Pre-calculated legal travel paths enable accurate dynamic positioning while reducing computational load during autonomous navigation.

A route guidance system selects parking lots and railway lines to minimize total travel time for round trips.

A vehicle information system calculates adjusted fuel economy using a modification factor derived from operational and movement periods.

Converting virtual sensor models to fixed-point arithmetic eliminates floating-point hardware requirements while maintaining measurement precision.

Segmenting acquisition modules resolves the trade-off between assessment comprehensiveness and device complexity in driving assistance systems.

A gyroscope determines its null point voltage by sampling output signals and selecting the statistical mode of the collected data.

Dynamic collision zones adjust based on entity speed and direction, reducing false warnings from static location reporting.

A calculation prohibition control module prevents short-term driving tendency index generation during congested traffic.

Aligning a swivelable vehicle sensor toward leading-in traffic routes expands the receiving range to detect dangerous objects at intersections.

Cumulative efficiency score tracker calculates points from mileage and energy data to motivate operators.

Landing monitor system detects zone instability via sensor data comparison, triggering abort logic to prevent vehicle damage from rollover or blade strikes.

Engine control system varies torque limits based on steering angle to protect drivetrain components during sharp turns.

An engine control module adjusts idle shutdown logic using GPS location data to manage auxiliary power operations.

An engine control apparatus calculates actuator command values to regulate combustion parameters and limits outputs within allowable ranges.

A vehicle engine abnormality determination device estimates actual torque via a first motor to detect output drops.

Crankshaft rotation analysis determines disturbance ratios to adjust spark timing for balanced cylinder torque.

Dynamic range actuators enable hazardous task adaptability by switching between robust navigation and surgical precision control.

A startup controller estimates fuel pressure at injection start to enable early injection timing.

An engine control apparatus switches fuel quantity computation modes to optimize injection based on detected operating conditions.

An information processing apparatus accumulates flight airspace allocation results to determine operator priority for subsequent requests.

Onboard flight computer calculates position via satellites to eliminate ground beacon dependency and ensure navigation integrity.

Visual display shows required landing distance as percentage of runway length, warning pilots of potential overrun conditions during final approach.

Automated oil level sensors measure lubrication quantity at engine startup to calculate average consumption rates across operating cycles.

A visualization system allocates data into groups and displays non-overlapping symbols on a map.

An aircraft synthetic vision system displays a destination air sock with colored wind rings and terrain gradient indicators on the cockpit screen.

Smartphone application processes GPS and accelerometer data to identify vehicle idle states without hardware modifications.

Graphical indicators overlay aircraft-specific restrictions on airport charts, eliminating manual text interpretation and reducing pilot identification time.

A hybrid vehicle control system manages electric vehicle mode transitions through permission preparation logic.

State vector sequences eliminate iterative processes and discontinuities, reducing computational load for real-time 5D trajectory updates.

A navigation system selects routes by analyzing map database segments for attribute values and energy costs using a predetermined optimization algorithm.