Data Processing Applications TRIZ Cases

See how an extendable cantilever platform installed inside a building wall receives drone packa

See how an ambient airflow path through the brush motor cavity prevents overheating by transfer

See how a modular water diversion system uses turbine generators and wireless control to captur

See how a mobile terminal receives fermentation, temperature, and storage data from beer-makers

See how a twist-and-lock brush roll, modular power cord, and spring-loaded nozzle enable tool-f

See how a refrigerator-integrated collector gathers health parameters, uploads data for big dat

See how a washing machine identifies contaminant type via image or speech recognition and adjus

See how a to-go cubby unit uses thermal control, locking mechanisms, and pre-assigned compartme

See how a clothing management apparatus generates expected images for multiple modes, enabling

See how embedding UV-curable scannable marks in jersey heat transfers links numbers and crests

See how divided air pockets with real-time pressure sensors enable body-part-specific cushionin

See how smart hoppers with environmental control enable precise on-demand coffee blending while

See how embedding color profile information in pattern management software eliminates productio

See how pre-established characteristic data and temperature-aware current limits optimize batte

See how a laundry apparatus uses deep learning and local storage to recommend customized course

See how an AI server links a display device and refrigerator to detect dish images, match avail

See how clothing processing appliances share image data to automatically build a personal style

See how mobile device location detection restricts water heater temperature settings by zone, p

See how a spring-biased pusher and LED switch system alerts store associates when product level

See how sensor-based parameter collection, predictive gap-filling, and data meshing enable farm

See how visual flags, color-changing coils, and LED lighting retrofit to existing merchandisers

See how smart hoppers with sensors enable dynamic coffee bean blending based on flavor profilin

See how a sensor-equipped container adjusts audio, visual, or fragrance output based on consuma

See how a towel compartment with removal sensors and automated notifications tracks usage to en

See how dynamic sequence management replaces FIFO beverage production, enabling parallel step e

See how dividing an air mattress into independent sections with real-time pressure sensors enab

See how a patient support apparatus integrates barcode readers, RFID receivers, fingerprint sen

See how a mirror assembly uses sensor data to identify users and coordinate personalized applia

See how a series control heat exchanger with throttle regulation prevents temperature peaks and

See how embedding color profile data into appearance information prevents color shifts across d

See how a mobile terminal receives brewing data wirelessly and displays ingredient, fermentatio

See how a portable device with wireless connection provides rich control and diagnostics for re

See how modular food holding units with individual temperature control and dynamic address assi

See how mobile device tracking predicts user arrival to optimize HVAC setback temperature, bala

See how a ramped nursing surface promotes proper infant swallowing position while vacuum sealin

See how a modular tray and accommodation box enable hygienic automatic disposal of analyzed str

See how dual gas and earthquake sensors enable automatic fuel cut-off in boilers to prevent lea

See how a vertically biased suction nozzle maintains surface contact to improve fluid recovery

See how a graphical interface formats property photos into personalized door hangtags, postcard

See how integrated gas and earthquake sensors trigger automatic fuel cut-off in boilers to prev

See how reclined cavities with finger access areas resolve the contradiction between theft prev

See how a segmented cart with multiple compartments organizes pillows by sleep position and mat

See how a low-energy wireless network monitors beverage freshness, temperature, and levels acro

See how an elevator transfer area with lateral openings and lockable containers enables drone p

See how a mobile terminal recommends ingredient combinations for beverage-making apparatuses to

See how a vertically adjustable, biased suction nozzle maintains consistent surface contact to

See how dynamic sequence management breaks FIFO constraints in beverage systems, allowing paral

Movable, lockable food service equipment docks into a stable workstation to improve ergonomics, sanitation, and peak-time availability.

Priority-based space assignment uses vehicle profiles and departure monitoring to improve autonomous parking flow and space utilization.

A synchronous energy function defines convergence regions to assess post-fault power system stability without predicting equilibrium points.

An intermediary meter socket adapter adds BESS microgrid interconnection at sealed load centers while detecting removal and de-energizing conductors.

Map-based line diagrams show time-varying power flow, voltage, and asset use, helping engineers compare grid conditions in real time.

Uses voltage limit ratios and PLL-aware modeling to identify dominant overvoltage constraints in high-proportion new energy power systems.

Integrated energy management links vehicle, platform, and service servers to improve battery state simulation and EV driving efficiency.

Printed identifiers on component packaging link each unit to lot and inspection data, helping engineers trace production abnormalities faster.

Rule-based dispatch gives a fast fallback while a site-specific optimizer refines power source levels for cost, reliability, and carbon goals.

Coordinate-based roll mapping tracks electrode sheet production, loss, and defects to improve feedback and yield in secondary battery manufacturing.

A target following distance set beyond deceleration start and margin distances prevents repeated speed changes in automated valet parking.

Interior sensing and recognition trigger cleaning or repair at the right time, balancing vehicle availability with user comfort.

Vehicle and home usage data are combined to predict EV backup discharge time more accurately and manage appliance loads during outages.

Independent control of high-energy and high-power storage units balances load demand, improving efficiency, weight, cost, and lifetime.

Virtual user shares and centralized battery control cut grid exchange, support fair remuneration, and reduce battery cycling in energy communities.

Sensor and camera data assess obstacles and cable reach before dispatch, avoiding failed vehicle charging attempts when users are away.

Centralized virtual battery control balances charging, grid exchange, and fair user remuneration in shared energy communities.

Combining human, vehicle, and context vectors with machine learning improves driver scoring accuracy and supports tailored driving feedback.

Location-triggered content playback lets passengers in different autonomous vehicles share immersive messages asynchronously without real-time coordination.

Tightened SOC constraints, valid inequalities, and warm starts cut SCUC solve time while preserving charge-discharge exclusivity.

Micro-LED vehicle windows combine image and distance sensing to overlay driving guidance and surrounding information with higher display quality.

Corrected battery SOH data improves CO2 emission calculation accuracy by reflecting actual battery conditions in battery management.

Predicted net power and grid pricing guide storage charging, discharge, and export decisions to cut home electricity costs.

Selective meter disconnection in AMI sheds non-critical premises on shared feeders while keeping hospitals and other critical services online.

Grouping facilities by correlated power demand lets a CEMS server predict total load with less processing and issue more accurate DR requests.

Parallel node activation, confirmation tracking, and fault lists help distributed energy storage meet fast grid frequency balancing deadlines.

Automatically generates and updates energy storage cell layouts against discharge, temperature, and depth-of-discharge constraints.

Messages propagated along power flow paths let grid nodes share authenticated source-mix data, enabling renewable-aware consumption control.

Sensors on harvesters and forwarders identify log piles and log properties during loading, preserving data accuracy without slowing transport.

Magnetically coupled transit pods and carriers form dynamic convoys to raise urban transport capacity without major new infrastructure.

Fusing multi-vehicle image data with driving information builds a vehicle map that detects non-communicating traffic and improves route-level assistance.

Server-based speech recognition turns spoken vehicle requests into conditional action shortcuts, reducing manual setup and onboard processing load.

Pre-arrival road surface checks identify unusable boarding spots and prompt a position change before the vehicle arrives, avoiding ramp delays.

Social media keywords and browsing time reveal shared occupant interests, helping the vehicle deliver more relevant proposals.

A connection unit links high- and low-availability power subsystems so data centers can reconfigure supply structures at lower cost.

Dynamic state-of-health ranking helps assign distributed energy resources faster, balancing demand response, cost, load, and resource health.

Sensor-detected alert conditions trigger an onboard AV assistant to connect passengers with service or emergency support during live operations.

Sensor and contextual data detect hard braking, swerving, and acceleration events to score autonomous vehicle ride comfort objectively.

When an AV detects a passenger alert condition, an onboard assistant can auto-call a remote agent to handle emergency and non-emergency support.

Precomputed typhoon countermeasures balance outage risk and cost by adjusting power outputs and grid reinforcements before failures occur.

Position and time analysis links a near miss to the surrounding vehicle that made the inadequate maneuver, enabling timely driver cautions.

An accessible proxy meter mirrors data and relays commands for host meters in basements or vaults, improving RF access and utility control.

Real-time product detection lets battery equipment switch models upstream, cutting downtime, tool change delays, and material waste.

Seat occupancy and environmental sensing let a vehicle open only the best door for passenger ingress or egress, reducing weather exposure and energy use.

Real-time pricing guides demand shifting, storage, and on-site generation to cut peak load and improve renewable power use.

A coordinator improves grid balancing by activating DES nodes by preference and state of charge, delaying opposite-response nodes.

Hybrid anomaly filtering and stochastic-ML forecasting improve substation rate predictions during outages, disasters, and normal grid operation.

By computing excess and deficit energy demand, the controller offsets source-response lag to keep microgrid tie-line power within contract limits.

Source identification lets a local controller assign use types and priorities to control messages, reducing power flow conflicts and stabilizing the grid.

Location-based repeater selection shifts vehicle OTA update delivery from cellular links to nearby Wi-Fi, cutting data charges and update time.

Map-based suppression points let valet parking vehicles dim front lights where glare would hinder recognition or affect surroundings.

Networked microcontrollers and a central server coordinate devices, mobile objects, and facility components by monitoring overlapping safety volumes.

Dynamic work reassignment and feeding-order planning reduce idle time and bottlenecks in mixed-model cell-based mobility production.

High-quality weld training results are shared through machine-readable codes and linked to learning activities for easier access and interaction.

By tracking limit-driven variable moves and control giveaway, this case reveals early causes of model-based controller performance decline.

Fuzzy compatibility clustering groups heterogeneous assembly samples into optimal granule layers to improve prediction accuracy and model generalization.

Production vehicles compare development-module perception with baseline worldviews to update models locally and cut ADS validation time and cost.

A centralized learning server uses appliance production and operation data to update trouble patterns for accurate diagnosis and proactive maintenance.

Real-time sensor and location data recalculate indoor exit routes to avoid emergency zones and reduce evacuation congestion.

Mobile transceiver relays improve indoor workpiece tracking in reflective metal processing areas while reducing fixed infrastructure.

A multi-tier support queue and map display helps operators manage autonomous cars outside defined parameters while balancing workload and traffic flow.

Recurring consumption models flag irregular utility demand so supply can be adjusted, shifting loads off-peak and easing grid strain.

Correlating diagnosis alarms with maintenance work logs verifies actual diagnosis use, improving billing accuracy and maintenance efficiency.

Incremental neural learning keeps healthcare coding confidence accurate as coding practices change, without full retraining on large datasets.

A trained neural network predicts tow placement discrepancies in NC programs, reducing composite layup trials while improving tolerance compliance.

Reusable digital twin process models cut repeated workshop modeling, lower errors, and shorten production line design cycles.

Integrated help request routing lets welders contact maintenance, quality, or engineering without stopping production, reducing downtime.

Role-based address templates let manufacturing line computers self-assign network settings, cutting setup time and configuration errors.

Real-time pairing of generation and load meter data improves renewable energy certification transparency and verifies grid allocation.