Visual/Graphical Programming TRIZ Cases

A DSL-based industrial IDE defines device topology in one common model, cutting piecemeal configuration, debugging, and integration effort.

Surface machine learning models from process tags inside PLC design tools to simplify control-program integration and process optimization.

Ontology-linked programming blocks automate engineering code generation, cutting development time while improving KPI prediction and error prevention.

Automatic timing chart completion with internal devices generates PLC ladder logic sketches faster and with less testing effort.

A universal namespace maps OT workflow elements to controller runtime, enabling low-code device control and clearer data collection.

Drag-and-connect function blocks replace text workflow descriptions, building behavior trees faster with reusable nodes and a consistent GUI.

Standardized routing addresses tied to a hierarchical organizational model make RPA cloud services easier to access, configure, and manage.

Develop control programs as reusable smart objects before hardware selection, then assign them across multiple industrial controllers.

A unified DSL-based IDE defines device topology and generates project data to cut industrial automation integration, testing, and debugging effort.

By merging HMI, PLC, and safety control, this case cuts automation complexity, reduces bandwidth use, and enables 10 ms emergency stop response.

Centralized property binding and staged update propagation simplify process control display configuration while reducing manual linking errors.

Three placeholders split variable access before, during, and after use, enabling AUTOSAR code adaptation without full regeneration.

Separating screen project data into master and sub-project layers cuts rework when adding device-specific display elements.

Template-based PLC setup lets site staff choose control data and build dashboards without programming, speeding real-time monitoring.

Gesture-based ladder editing inserts predefined self-holding, flip-flop, and interlock circuits to cut manual address entry and wiring steps.

Automatic copying and type setting keep controller and UI variables aligned, reducing manual matching time in program development.

Functional design elements and database-driven control logic cut liquid processing plant redesign time and reduce manual configuration errors.

Query-based visual highlighting in industrial HMIs helps operators quickly find devices needing updates, maintenance, or alarm response.

A visual UI editing interface generates mini-program code and packages in the background, cutting manual coding effort and build complexity.

A custom textual DSL replaces slow graphical HMI workflows, enabling faster screen, layout, behavior, and animation development.

A DAG-driven notebook execution flow prunes slow dependent cells and parallelizes safe ones to cut runtime and resource use.

Real-time plate map updates automate well grouping and parameter assignment, cutting setup errors and improving experiment reproducibility.

A unified control panel editor shows multiple editable areas and live preview together, cutting multi-level navigation and user operations.

A separate preview instance mirrors editing commands to show dynamic graphics in real time while keeping the original scene file unchanged.

A digital assistant breaks user app requests into platform-supported sub-requirements, reducing manual research and development effort.

Custom playbook code is routed to an on-premises automation broker, reducing cloud security risk while preserving execution flexibility.

Signal mapping and raw event simulation speed security data integration while preserving accurate alert normalization for threat detection.

A 3D layer interface lets non-programmers build machine learning models with visual parameter input, validation, and error prevention.

Visual no-code editors translate trigger-based app views into chat interfaces, reducing development complexity while preserving deployment reliability.

Machine learning identifies GUI elements from images, reuses stored components, and builds AST-based code to cut redundancy and keep styles consistent.

Aggregated objects let one edit update repeated UI elements across shallow page copies, enabling stable offline web demos without real-time execution.

An intermediary framework converts unsupported image input methods into app-supported ones, enabling screen input without code changes.

Dynamic widget objects on a shared canvas improve cross-service collaboration while preserving traceable, consistent design updates.

Runtime UI changes are applied directly to running interface elements and persisted in code, avoiding recompilation delays in active apps.

A shared experience definition is translated into multiple app types, cutting update effort while keeping brand and UI consistency.

A visual graph editor lets non-experts build dataflow graphs, then compiles them into optimized imperative operations with less redundancy.

Structured task, domain, and context inputs guide AI units to generate more meaningful applications without losing critical UX information.

A model-view-adapter plugin structure replaces rigid one-way IDE data flow to improve stability, troubleshooting, and extensibility.

Automatically tracked asset-to-block links show where each digital asset is used, making website updates easier and less error-prone.

Compiled instruction schedules let engineers trace cycle-level tensor processor data flow and conflicts without executing the program.

Standardized vimcall messaging across desktop and terminal spaces simplifies frontend-backend invocation and multi-app development.

Hybrid VR ray tracing applies stereo rendering and selective shadows and reflections to cut GPU load while preserving immersive visual quality.

A visual flow builder generates valid executable code for virtual receptionist sessions, reducing manual handling, fragmentation, and cost.

Invisible code markers and checksum-based access control let multiple designers refine generated UI code without breaking structure.

Preconfigured loop nodes let workflow graphs run repeated procedures without repetitive node addition, improving creation and debugging efficiency.

Structured configuration data combines scene variables and processing entities to control multi-object interactions in complex application scenes.

Automatic NLP and graph parsing convert workflows across text, WYSIWYG UI, and machine code to cut manual effort and errors.

A workflow starting node processes each user request first to preset parameters and avoid trigger uncertainty in application creation.

Ratio-based control parameters let visual page layouts adapt control size and position across devices without extensive coding.

A low-code workflow GUI adds go-back steps by identifying valid target nodes and blocking invalid transfers to reduce user errors.

A flowchart UI converts MCU operation steps into instruction codes, reducing coding errors and programming effort for non-programmers.

Q&A nodes let users steer workflow execution by linking responses to actions, making fixed workflow graphs more adaptable.

Interface allows dynamic parameter selection during workflow design, resolving schema change adaptability conflicts.

Converts legacy geometric data structures into neutral formats for visual rendering through inter-process communication channels.

System analyzes access patterns to automate buffer sizing and scheduling, resolving manual effort and error-prone testing in FPGA design.