Listen to this Post

(Relevant Automatically Convert SCADA Platforms to Ignition | Corso Systems)
You Should Know:
Migrating legacy SCADA systems (like Wonderware, iFix, FactoryTalk) to Ignition Perspective can be automated, reducing manual conversion time from 18+ months to under 6 months. Below are key technical steps, commands, and tools used in such migrations:
1. Automated Tag & Screen Conversion
- Tool Used: Custom Python/Java-based conversion engine
- Key Commands:
Batch process Wonderware XML exports to Ignition JSON python3 convert_wonderware.py --input=ww_tags.xml --output=ignition_tags.json
Bulk rename tags for consistency (Linux sed) sed -i 's/OLD_TAG_PREFIX/NEW_TAG_PREFIX/g' ignition_tags.json
2. Alarm & Notification Migration
- Twilio API Integration:
Send test alarm via Twilio CLI twilio api:core:messages:create \ --from "+1234567890" \ --to "+1098765432" \ --body "ALERT: High Pressure in Tank A"
3. Database & Historian Migration
- SQL ETL Scripting:
-- Migrate Wonderware Historian to Ignition INSERT INTO ignition_historian (tag_name, value, timestamp) SELECT tag, value, time FROM wonderware_historian WHERE time BETWEEN '2020-01-01' AND '2025-01-01';
- Bash Data Transfer:
Use curl to push historical data to Ignition REST API curl -X POST -H "Content-Type: application/json" \ -d @historian_data.json http://ignition-server:8088/api/historian/import
4. Zero-Downtime Deployment
- Load Balancer & Proxy Commands:
Nginx reverse proxy for seamless cutover sudo systemctl stop nginx cp new_ignition.conf /etc/nginx/conf.d/ sudo systemctl start nginx
5. Performance Optimization
- Linux Kernel Tuning for SCADA:
Increase TCP buffer sizes sysctl -w net.core.rmem_max=16777216 sysctl -w net.core.wmem_max=16777216
What Undercode Say:
Automating SCADA migrations eliminates human error, reduces downtime, and modernizes legacy systems. Key takeaways:
– Python/Java for bulk conversions.
– Twilio API for real-time alarms.
– SQL ETL for historian data.
– Nginx/HAProxy for zero-downtime swaps.
– Linux sysctl for high-performance SCADA.
Prediction:
By 2026, 90% of industrial SCADA systems will use AI-driven migration tools like Corso’s, cutting manual work by 70%.
Expected Output:
- Migrated Ignition project with 800+ screens, 200k tags.
- <1s screen load time (vs. 5-10s legacy).
- Zero downtime during cutover.
- Full case study: Corso Systems SCADA Migration.
IT/Security Reporter URL:
Reported By: Alex Marcy – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅


