Data Processing Applications TRIZ Cases

Identifies which new energy terminal or AC bus overvoltage dominates after fault clearing by comparing voltage limits and PLL-linked dynamics.

Historical seasonal load data pre-trains ESS control, then splits schedules into weekdays and holidays to cut peak load without delay.

Surrounding-person detection lets an autonomous taxi adjust speed toward likely riders, raising occupancy and cutting empty-trip energy use.

Server-managed coupling and uncoupling lets autonomous vehicles transfer users between different routes while preserving platooning efficiency.

Inter-vehicle communication adjusts each car’s speed from real-time position data to keep safe spacing in automated valet parking.

A graph neural network predicts actor goals, interactions, and trajectories from state and lane data to improve autonomous motion planning.

Battery data is used to estimate actual EV operation and generate timely reports that improve vehicle usage and maintenance decisions.

Blockchain-based peer inspection lets nearby vehicles verify sensor faults in real time, cutting downtime and improving autonomous driving safety.

Voltage stability indexes across load nodes reveal where a thyristor controlled phase shifter should be installed to reduce collapse risk.

An SVM-based heating-section equivalence model improves electro-thermal virtual power plant aggregation accuracy despite uncertain parameters.

Exterior-access compartments replace central aisles and exit doors, improving package access, storage capacity, and vehicle-independent loading.

Daisy-chain TCP/IP or UDP links between battery management systems cut rack data delays and support larger energy storage capacity.

Autonomous IP packets add priority, routing, and security to support real-time grid data exchange and electricity settlement.

Cost models and optimization algorithms assign spaces for manned and unmanned vehicles to ease congestion and reduce collision risk.

A hierarchical optimizer balances sources, subplants, sinks, and storage to cut central plant energy costs under real-time constraints.

Retrieves similar driving scenarios, filters them by selection conditions, and converts them into realistic ODD-compliant tests for autonomous vehicles.

Balance control runs only when grid support benefits exceed storage deterioration cost, improving power management efficiency.

Bio-signal analysis and metaverse preference data let a vehicle tailor lamps, fragrance, and audio for personalized stress relief.

Automatic interlocks use work terminal position and progress data to block OHT entry into active inspection sections and prevent operator accidents.

Display lamps linked to driver assignment and use state let users quickly identify whether a remote driving taxi is available.

Fleet cruising distance triggers proactive vehicle refueling or charging, preserving dispatch availability and reducing user wait time.

Magnetic couplers let autonomous transit pods stack onto carriers, boosting urban transport throughput while limiting infrastructure expansion.

Sensor fusion and confidence scoring detect vehicle damage, trigger safe relocation, and send targeted alerts to operators or authorities.

PLC signal attenuation helps DER systems identify peers behind the same transformer, enabling local energy sharing and easing grid bottlenecks.

Real-time 3D map monitoring and server-calculated trajectories guide autonomous vehicles to the right parking space while reducing congestion.

Mobile image processing identifies relay panel light signals and overlays guidance, helping users interpret complex interfaces in poor or remote conditions.

Prioritizes vehicle, environment, and driver data by active service needs so critical information reaches the server during communication disruption.

Sensor data identifies crew improvement needs and routes caution alerts in real time, reducing instructor workload across multiple trainees.

Operating signals from loads and smart connectors reveal supply network topology without complex synchronized measurements or production disruption.

A dual passive-active label can be remotely reconfigured to disable resonant identification, avoiding replacement during livestock system updates.

Blockchain-based V2G trading separates renewable and exhaustible electricity to prioritize low-CO2 use and support accurate emissions accounting.

Perception data and ML help autonomous vehicles detect pickup queues, decide when to join, and reduce congestion for other road users.

Randomized energy packet requests let DERs balance grid reserves with consumer QoS while reducing reliance on fast-ramping generators.

By identifying vehicle type and use, the system stores only key battery degradation data to cut storage, transmission, and calculation time.

A shared-memory coprocessor offloads FFT harmonic processing from the meter core, improving real-time analysis while lowering hardware cost.

A correction coefficient aligns scheduled battery power with real-time feedback to stop microgrid backflow and avoid control conflicts.

Historical power data clustering selects PQM deployment points that improve monitoring coverage while avoiding unnecessary device cost.

Harmonic-based load signatures let a smart plug identify appliance operating cycles and send status to home networks without appliance changes.

A transition-matrix dispatch scheme shifts generator cost integration to distributed nodes, easing congestion and avoiding central-node failures.

Rolling spatio-temporal scheduling guides MES vehicle routing and charge-discharge control to cut load loss and support reliable distribution grids.

Pre-authorized user terminal identification simplifies secure remote vehicle access while supporting flexible shared operation conditions.

Gas station communication plus camera and sensor feedback enables precise autonomous driving and fueling with safe manual-mode transition.

Behavioral models trained from SCL files and traffic data detect anomalous utility network behavior, including zero-day malware.

Region- and login-triggered operator workflows automate compliance task assignment and evidence submission across changing local regulations.

Balances planned instrument operation with actual market prices to improve microgrid power trading efficiency and lower transaction costs.

A two-stage controller combines forecast scheduling with on-line dispatch to cut hybrid power optimization complexity and operating cost.

Power meter data reveals IoT cyber, physical, hardware, and software anomalies, enabling fast root cause diagnosis from energy profiles.

Calculates facility electricity charges by reducing total energy use with coefficients tied to specified device groups and operating states.

Current and voltage harmonic analysis lets a smart plug identify appliance loads and operating cycles for home network services.

Category-based alerts use edge-analyzed position history to distinguish students from other pedestrians and warn vehicle occupants earlier at night.

A data management system links user-uploaded files with associated network services for seamless cross-platform sharing.

A defensive deepfake program generates exemplar content to identify illegitimate social media accounts.

Combining social and similarity networks improves recommendation accuracy while increasing computational complexity, addressed by pre-computing ranking scores.

A central prescription handling engine routes medical data to selected pharmacies via a network.

A billboard computing device morphs a concierge item between static and animated formats to display interactive workplace navigation content.

Parameterized configuration templates enable dynamic adaptation of Java systems, reducing downtime caused by static manual node updates.

A progressive identifier modifies its encoded bit structure at each workflow stage to enable automatic detection and secure access rights management.

A synchronization server maintains an online user database to selectively transmit instant messages only to active users.

A digital content authoring terminal automatically switches work area modes between edit and execution states based on user interface selections.

Dynamic virtual table creation eliminates predefined schema limits, enabling seamless joins across disparate data sources.

A processing circuit retrain load prediction models using building data to optimize energy storage and discharge schedules.

Coordinate overlay grids link comments to specific graphic locations, eliminating manual correlation between spreadsheets and drawings.

A probability server system calculates link formation likelihoods to identify overlapping communities within social graphs.

Central server accumulates anonymized vehicle travel records to prevent personal information leakage during third-party inquiries.

A bidirectional information sharing system transmits pre-stored user status data between mobile phones via a wireless network.

Social networking systems generate digital voiceprints to authenticate user identity via acoustic signals.

Pre-populating an index view with generated keys allows automatic background retrieval of documents, reducing latency during user access.

A production planning device creates distribution plan data using entropy associated with loss information to optimize article allocation across multiple lines.

A management device processes authority applications to adjust elevator operation settings for diverse tenant usage patterns.

Integrates affiliations from various virtual spaces with electronic network relationships to resolve information loss in user connection mapping.

Convolutional and recurrent neural networks automate pattern generation, resolving the trade-off between measurement speed and perimeter precision.

Embeds computer-readable addresses in print volumes to link readers to digital versions with redlines, resolving outdated content issues.

Communication system detects crowd leadership structures by combining video movement patterns with social media relationship data.

A text detection method combines attribute features of associated elements with trained network models to process textual data.

Partitioning graphs into independent regions reduces synchronization overhead by localizing duplicate detection across processing units.

A mapping system links user-defined private maps to public GPS data via icons.

Electronic device filters false incident reports using reporter data and historical patterns to identify similar past cases.

Machine learning transforms disparate zoning and deed data into standardized formats, resolving complexity barriers for real estate analysis.

Oblique aerial imagery captures building facades and structural details that ortho-rectified rooftop views miss, enabling accurate measurement extraction.

Content Optimization Engine ranks items across multiple feed slots using display probabilities and interaction effects.

A data processing apparatus manages game progress by accepting sport-specific parameters and event inputs for structured recording.

A flow rate measurement device calculates characteristic ratios of gas consumption to identify active appliances.

A controlled device controller measures elapsed time since acquiring control instructions to execute predetermined operations.

Arrangement planning device determines optimal battery placement locations based on required operation amounts and user-defined policies.

A rights management server generates usage rights from access permissions to enforce item control without embedding DRM data in stored files.

Segmented attribute and interaction indexes resolve the contradiction between search accuracy and system complexity in immersive environments.

A social networking system embeds media metadata into user posts by recording audio and identifying the consumed content.

A pre-trained idiom selection model calculates confidence scores for candidate idioms to determine optimal fill-in-the-blank answers.

A neural network model calculates user learning ability by processing answer sequences and score information from assessment databases.

Segmentation and dynamic control modes resolve the contradiction between content diversity and relevance by filtering irrelevant items from the news feed.

A work evaluation system acquires vehicle state information and sound data to assess grass mowing operations.

A health event directory platform captures structured data from providers to facilitate precise database searching.

Augmented reality algorithms superimpose prospective landscape designs onto captured area images for immediate visual confirmation.

A secondary color module derives highlighting colors from selection inputs to maintain visual coherence across email interfaces.

A search system generates queries from a user work context model to assess and rank results across multiple engines.

System detects latent social network dynamics through covariance matrix analysis and stochastic block modeling to resolve static recommendation bottlenecks.

Relational data analysis identifies unknown malicious entities through shared features, reducing defense delay against new malware.

A classification model learns user categories from behavior and personal information to improve categorization accuracy.