GiSize Maps - Industrial GIS Platform

The Challenge

Traditional industrial automation systems operated in isolation from geographical information systems, creating significant barriers for real-time asset management and monitoring. The existing OMI-based platform limited accessibility and required extensive desktop infrastructure.

Technical Innovation

GiSize Maps represents a paradigm shift in industrial GIS integration, combining the power of modern web technologies with robust industrial automation protocols. The platform leverages advanced mapping libraries and real-time data streams to create an unprecedented level of industrial asset visibility.

Architecture Overview

The platform is built on a microservices architecture that seamlessly integrates with existing AVEVA infrastructure while providing modern web accessibility. Key technical achievements include:

• Real-time Data Streaming: Implementation of WebSocket connections for live asset updates
• Multi-Provider Integration: Seamless integration with Mapbox, ArcGIS, and custom WMS/WFS services
• Responsive Design: Mobile-first approach ensuring functionality across all device types
• Performance Optimization: Advanced caching and lazy loading for handling large-scale industrial datasets

Implementation Details

The development process involved close collaboration with industrial engineers and GIS specialists to ensure the platform met the demanding requirements of critical infrastructure management.

Key Technical Decisions

1. Framework Selection: Chose vanilla JavaScript with Leaflet for maximum performance and flexibility
2. Data Management: Implemented efficient data structures for handling real-time updates from thousands of sensors
3. User Experience: Developed intuitive gesture controls and touch interfaces for field operations
4. Integration Strategy: Created standardized APIs for seamless integration with existing AVEVA systems

Results and Impact

The platform has transformed how industrial operators interact with their infrastructure, providing unprecedented visibility and control capabilities. The migration to web-based accessibility has democratized access to critical industrial data while maintaining the security and reliability requirements of industrial environments.

Future Enhancements

Ongoing development includes AI-powered predictive analytics, enhanced mobile capabilities, and expanded integration with IoT sensor networks. The platform continues to evolve based on user feedback and emerging industrial automation standards.