Data Processing Applications TRIZ Cases

See how automated bun toasting, condiment dispensing, and packaging parallelize manual tasks to

See how integrating digital processors with hot water tanks captures waste heat for water heati

See how residual water temperature sensing and multi-stage notification prevent washing machine

See how networked robotic devices use sensors and machine learning to automate sorting, washing

See how RFID tags with shielding enable automated cookware tracking across cooking stages, redu

See how credential-based door actuation and temperature regulation prevent unauthorized food ac

See how a refrigerator camera and communication unit transmit food and appliance images to remo

See how sensor-based usage tracking and server-mediated feedback loops enable vacuum cleaners t

See how merging noodle boiling, ingredient cooking, and container movement into one device redu

See how overhead lighting changes emission color to guide customers directly to products, elimi

See how RFID tags in food cartridges and conveyors automate ingredient matching, reduce operato

See how a three-axis cup transfer mechanism and modular dispensing stations enable simultaneous

See how a pivoting handle locks and releases a recovery tank lid using cam surfaces, resolving

See how sensor priority hierarchy resolves control signal conflicts in smart occupancy systems,

See how sensor-equipped food holding pans with RFID identifiers enable automated tracking of fo

See how a food holding pan with embedded identifiers and sensors automates food tracking, repla

See how segmented brush agitator mounting and flexible nozzle arms enable tool-free removal and

See how a server identifies available cooking devices, transmits alternative control signals, a

See how a controller automates seat rotation and matching algorithms to reduce awkward interact

See how modular twist-lock brushroll and slidable power cord connectors enable tool-free replac

See how a projector-plate system integrates weight detection, recipe display, and appliance con

See how camera-based user identification and server-mediated status tracking enable personalize

See how integrating UWB antennas in a robot vacuum enables precise pet location tracking throug

See how RF power transmission eliminates battery limitations in cold-storage sensor tags, enabl

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

See how a food model generates missing cooking parameters from incomplete recipes using thermal

See how modular functional stations enable automated pizza preparation, cooking, and boxing in

See how remote asset management uses ice-level sensors and feedback loops to enforce maintenanc

See how a management server compares operation and sensing data across two time sections to det

See how a server collects water supply data from ice-making appliances, diagnoses low pressure

See how a refrigerator uses camera-based AI and AR object overlay to transform monotonous text

See how a removable RFID carrier eliminates manual tracking errors in restaurant hot holding ca

See how segmented brush and motor modules enable tool-free maintenance, while a flexible nozzle

See how AI-based garment state analysis enables user-selectable management modes with expected

See how a centralized mailbox with electronic locking and OCR-based addressee verification redu

See how a display device integrates with a refrigerator camera to recognize stored ingredients

See how merging multiple incentive programs into a single price signal resolves the contradicti

See how a lockable measuring module with integrated sensors captures shipment weight and size t

See how a smart refrigerator uses adjustable internal lighting, app-based monitoring, and push

See how a robotic manipulator automates container handling, meal assembly, and quality control

See how automated cooking element recommendation organizes ingredients and tools by type and re

See how location-based authentication restricts high-temperature settings to authorized zones,

See how modular order control estimates wait times using predicted interruptions and dynamic re

See how predefined activity scenarios and rule-based scheduling resolve conflicts between time-

See how proportional energy distribution calculates load-side unit consumption without per-unit

See how a manually operable variable-flow valve replaces rigid automatic control, letting baris

See how a vertically biased suction nozzle coordinates brushroll agitation, fluid delivery, and

See how a flexible flag or light indicator attached to a spring-biased pusher signals low produ

See how automatic synchronization of desk frame and monitor mount heights eliminates manual adj

See how portable terminal control replaces coin input, adds switchable window opacity, and send

Adaptive fluid thresholds and sample analysis replace fixed service intervals, cutting vehicle downtime and non-optimized maintenance costs.

Existing signs or streetlights are activated near flexible pickup points so riders and drivers can quickly identify the correct on-demand bus stop.

Triggered raw-data capture before, during, and after faults helps diagnose agricultural vehicle malfunctions without continuous high-energy transmission.

Optical lamp coding lets a mobile terminal identify a dispatched vehicle at night or in dense pickup areas without relying on license plate visibility.

Uses real-time bus voltage, line current, and Thevenin equivalents to classify renewable grid voltage support strength with lower calculation complexity.

Two learning models estimate user risk and risk causal effects, helping users understand factor influence and act on behavior change.

Mounted machine displays turn subsystem usage into real-time task completion status, helping site operators track progress without cab access.

Travel history and material data are used to identify additive loss and choose the right replenishing agent to restore tire performance.

An on-board autoencoder flags new ADS driving experiences so only anomalous data is sent to the fleet server, cutting bandwidth and power use.

Real-time sensor and fleet data guide autonomous road de-icing to match icy conditions, cutting material waste, cost, and vehicle wear.

TCP/IP daisy-chain BMS links battery banks in parallel data zones to cut transmission delay as rack and cell counts grow.

A two-stage LiDAR dirt check stops hauling vehicles only when contamination persists, reducing false alarms and unnecessary downtime.

A base vehicle summons autonomous follower vehicles that identify it, platoon behind it, and improve flexible service matching with lower labor cost.

A hierarchical Sankey energy flow diagram clarifies regional renewable supply, conversion, and demand to reveal energy balance and self-sufficiency.

Network-enabled plugs grouped by building region detect relocation and apply usage rules to cut electrical waste without complex device-level monitoring.

Classified multi-source power is allocated by area so carbon-free electricity can be prioritized, tracked, and certified within a facility.

Pre-generated vehicle management scenarios guide users through charging, repair, parking, and refueling after exit with timely approved prompts.

Deterioration acceleration parameters and hourly rate simulation reveal abnormal battery operation before capacity guarantees are reduced.

A digital twin predicts film formation results and scores recipes across multiple criteria, reducing reliance on operator expertise.

Fixed LIDAR tracks vehicle start and stop timing in lane-based virtual boxes to predict signal order and duration with noise filtering.

Voltage and current signals are transformed at local grid frequency to estimate equivalent impedance and track AC grid strength under fast dynamics.

Ground transverse profiles and surrounding-environment sensing help autonomous farm machines distinguish agricultural roads in varied conditions.

Bi-directional syncing between in-vehicle and external storage keeps user preferences consistent across shared vehicles and vehicle changes.

Vehicle status inputs score button intent and set a cancellation window, reducing accidental service requests and advisor verification time.

Individual AMI meters disconnect non-critical loads while keeping critical facilities powered, improving grid stability and load equity.

Dynamic charge scheduling uses tariff periods, load forecasts, and battery state to cut efficiency loss and protect storage revenue.

Optimized flexible soft switch placement and capacity help manage DG volatility, control power flow, and lower distribution network operating cost.

Real-time soil, weather, and equipment data generate traversability maps and safer routes that help heavy machinery avoid soft ground.

Microphone-based sound matching verifies cleaning work in chambers, giving real-time progress visibility without extra monitoring infrastructure.

Occupancy mismatch detection links autonomous vehicle cabin monitoring to a remote assistant for rapid intervention when unauthorized riders are detected.

Power-use thresholds let a smart circuit breaker detect standby ghost loads, cut power automatically, and estimate wasted energy costs.

Read-restriction antennas and shielding confine RFID coverage to each betting area, preventing token misreads on crowded game tables.

Aerial image yield maps are corrected with in-situ sensor data to overcome spectral saturation and improve real-time harvester control.

Dynamic market rate inputs guide distributed power control to balance facility demand, retailer profit, and penalty avoidance.

Sensor-gated enclosure access blocks door entry during arc flash preconditions, improving technician safety and safety protocol compliance.

Ad-hoc smart meter networking combines periodic and event-driven updates to keep grid status visible in real time, even with weak cellular coverage.

Real-time sensor feedback adjusts wellsite generator load to match drilling power demand, cutting inefficiency and emissions.

Signal strength mapping on a PLC bus lets irrigation controllers auto-identify powered devices, cutting manual setup time and addressing errors.

Decoupled state and contingency perturbations cut matrix factorizations, speeding multi-period power grid feasibility checks.

Vehicles crowdsource road temperature and friction data to warn each vehicle type about black ice and other risks on poorly monitored roads.

Blockchain-linked ECU fault records secure vehicle repair data while enabling remote access and proactive failure pattern analysis.

Mobile AR identifies relay panel light signals from camera images, helping users interpret status and procedures in remote or low-light settings.

Measured electrical characteristics and reference functions let the converter track renewable charge and discharge across grid and storage flows.

ATSC 3.0 broadcast multicast delivers secure class-based control messages to diverse grid equipment, improving coordination and grid stability.

Combining node measurements with certain and uncertain grid connections, a graph neural network identifies transformer mapping and switch status in real time.

An aggregation-and-decomposition control scheme coordinates distributed storage units to absorb renewable fluctuations and improve grid reliability.

Parallel gate and conductive paths cut standard-cell resistance and improve semiconductor operating speed without excessive layout complexity.

Dynamic wait times across candidate pickup points account for congestion, walking distance, and ETA to improve autonomous ride pickups.

Alert clustering and road accident proneness scores correct road-condition bias in driver scoring and improve driving quality evaluation.

IoT sensing and machine learning predict unsafe water quality, calculate a fluid quality index, and stop flow before contamination spreads.

Real-time NGL quality analytics compare network data to limits, trigger alerts, support root-cause analysis, and guide corrective action.

Dynamic data collection based on dust buildup helps gas pipeline monitoring devices trigger maintenance without overloading storage.

Discrete Markov simulations forecast asset degradation and RUL with confidence intervals, even when asset-specific sensor data is missing.

A management server assigns freight stop zones and coordinates loading across air vehicles to keep multimodal transfer organized in compact facilities.

RFID tags on heat insulating blocks show exact attachment positions on a support image, cutting drawing checks and reattachment time.

When GNSS position capture drops during work vehicle travel, recording pauses, alerts the operator, and still registers the field from available data.

Real-time water and growth coefficients trigger knowledge-graph strategy selection and model-based irrigation optimization for rice fields.

Automated selection compares additive and traditional lens manufacturing routes to speed process choice while balancing cost, time, and quality.

Priority-based work notifications help operators coordinate with moving work devices and reduce delays in mounting processes.

Multiple drone route candidates are filtered by user conditions and output in a preset flight plan format to reduce manual planning effort.

A shared cloud IDE brokers parallel design input, tracks project changes, and keeps industrial automation development consistent.

Process-data timing comparison adjusts machine schedules to fit removal and maintenance activities, reducing downtime and quality loss.

A causal model updates input settings from quality feedback to keep manufacturing control effective under changing environmental conditions.

License-checked mission kit delivery lets a UAV install only authorized equipment software, blocking unauthorized operation and misuse.

Determines set points and iteratively adjusts candidate tariffs so plant operators can choose options that maintain or lower operating costs.

Real-time part-level prediction of quality, carbon footprint, and cost guides scenario selection to cut lead-time, rebuilds, and waste.

Neural-network analysis links tool-group KPIs and bottleneck output variation to WIP, helping cut semiconductor cycle time without equipment upgrades.

Maps fault propagation across linked workshop resources to rank bottleneck-critical nodes and improve production stability and recovery planning.

Wireless field data sent to remote analysis cuts site visits and equipment transport while enabling timely detection of infrastructure damage.

Slowing measurement mobility in poor detection areas extends sensing time and reduces shaking for more accurate road surface data.

Processor-based hazard evaluation scores injury probability and severity more consistently than manual manufacturing risk assessments.

Continuous dual remote communication combines OBD data capture with live expert guidance, enabling more reliable vehicle diagnosis and user-led repair.

Promoted-attribute grouping lets manufacturing update messages be customized, tracked, and processed sequentially across complex workflows.

In-process image comparison flags defects against optimal work sequences, enabling immediate correction without slowing production.

When field work falls behind schedule, a controller dispatches available agricultural machines, updates schedules, and logs work for billing.

A locker stays locked until the user watches or listens to required content, improving awareness of article precautions before access.

Reception-level sequences linked to step operations train a CVAE to estimate worker paths more accurately in multi-worker cell production.

When prediction-model computation risks missing a short control cycle, intermediate results are used to keep manufacturing control timely.

Pressure sensors and valve adjustments balance high- and low-pressure service zones to cut leaks, protect pipes, and maintain minimum delivery pressure.

A unified IIoT control architecture standardizes data flow across production lines, reducing repeated development while enabling abnormal device detection.

Docked UAVs launch from a vehicle to detect intruders, classify events with AI, and guide targeted response before crimes go unnoticed.

Weather-driven control links site conditions to machine impact metrics, then restricts movement or changes configuration to improve safety and productivity.

Stepwise startup of multiple protocol units helps isolate industrial controller communication faults and reduce manual inspection time.

Image and sensor feedback predicts biologic quality early and adjusts temperature, humidity, and light to keep growth outcomes consistent.

Property-based clustering selects a reusable facility evaluation model for changing raw materials, cutting model generation time and processing load.

Property frontage images with traversable and non-traversable labels become travel maps that help delivery robots avoid obstacles and lawn damage.

Correlating PLC memory, facility images, and IoT sensor data helps pinpoint failure causes and timing for faster industrial equipment diagnosis.

Combining waveform similarity with correlated multi-signal pattern matching reduces false alarms while preserving fast abnormality detection.

A cloud intermediary virtualizes OT assets with digital twins to speed automation development while protecting proprietary control systems.

Links production device setting changes to stored abnormality actions, helping users find the right response faster and cut downtime.

Segmented PSD analysis of turbine sensor signals tracks resonant peaks continuously, helping adapt control to changing offshore conditions.

Real-time flow sensing and incremental valve adjustment keep water use within limits despite pressure changes while avoiding full shutoff.

Centralized data handling and unified transmission let one IIoT control architecture serve multiple production lines with lower complexity and cost.

Environment-linked sensor tuning adjusts measurement cycle and sensitivity automatically to improve production data accuracy and reliability.

Portable state machines and sensor data track productive and idle asset states across mixed fleets to expose workflow bottlenecks.

Production data clustering and cycle-time analysis set station-level WIP limits to prevent product buildup without disrupting line productivity.

Ticket-based site assignment captures and displays positions of unregistered work machines, avoiding full registration overhead.

Fourier-based monitoring maps joining process signals into a reduced spectral space to classify faults more clearly and reliably.

A multi-dimensional temporal data mining system aligns physiological streams relative to shared time points of interest.

A local caching device registers flow information and content address data to identify cached chunks without decrypting actual content.

A data section rearranging module makes non-contiguous page file sections contiguous to optimize access.

A visual code authentication system replaces passwords with scannable codes for secure device pairing and identity validation.

An augmented reality system transmits enhanced property images to personal devices for remote viewing.

An activity graph database stores users and content as nodes linked by edges to represent complex relationships directly.

An intermediary server partitions native database tables into logical views, allowing clients to access designated data segments as standard tables.

An association control list filters rogue access points by checking MAC addresses against a whitelist, preventing unauthorized network connections.

A media player circuit automatically retrieves geographic metadata for video streams to display location context alongside playback.

A dedicated membership list view separates participants from the main feed, reducing clutter caused by non-substantive mentions.

A dynamic partitioning clause creates runtime partitions based on conditional logic to compute ordered analytic functions.

Classifier apparatus determines utility unit categories using stored parameters and supplementary sensor data.

A mosaic image generation device allocates acquired images to divided areas based on color information across multiple layers.

A location-based social network system segments users into local and remote groups to manage access requirements.

A machine display interface uses auto-complete and term controls to identify and reuse text elements across documents.