As simulation platforms progressively move to the web, browser-side post-processing capability has become a key focus for many enterprises. The question is not whether a browser can render graphics, but rather how to maintain interactivity, extensibility, and collaboration on the browser side when dealing with results containing millions to tens of millions of elements.

Industry Background

  • High deployment and upgrade costs for native desktop clients
  • Teams increasingly prefer to share and review results through browsers
  • Result scales continue to grow, placing higher demands on front-end rendering architectures

Core Technical Challenges

  1. Large model loading speed
  2. Interaction latency when switching result fields
  3. Performance of sectioning, picking, and filtering operations
  4. Multi-user sharing and annotation collaboration

Architecture Recommendations

Data Preparation Layer

First, perform lightweight preprocessing on solver results, including:

  • Model partitioning
  • Multi-level detail (LOD)
  • Result caching organized by variable

Rendering Layer

Leverage WebGL or similar graphics capabilities to achieve:

  • Mesh display
  • Scalar contour plots
  • Vector arrows
  • Sectioning and transparency

Interactive Analysis Layer

Mount measurement, comparison, screenshots, annotations, and reporting on a unified state system to avoid the situation of "viewable but not analyzable."

Engineering Value

The WebGL post-processing architecture is not meant to replace all desktop tools, but to bring result browsing, shared review, and lightweight analysis capabilities forward to the platform side. For enterprise platforms, this is often more important than simply improving rendering quality.