SCADA data extraction and digital archival

Purpose

1. Automate the extraction of digital data from SCADA systems in desalination plant operations for real-time monitoring, compliance reporting, predictive maintenance, and digital archival into secure document repositories.

2. Automate structured data flows from SCADA to corporate archives as part of an advanced, enterprise-wide digital transformation strategy.

3. Automating retrieval of sensor logs, alarm histories, batch events, and performance KPIs for regulatory, audit, and analytical purposes.

4. Ensure automated, tamper-proof archival and searchability of operational data, auditable for compliance and performance optimization.

Trigger Conditions

1. Scheduled intervals (e.g., hourly, daily extraction from SCADA) automates routine backup.

2. Event-based triggers (e.g., sensor threshold breach, process alarms) automates immediate data capture.

3. Manual ad-hoc trigger by control room operator for automating exception reports.

4. Incoming regulatory request automates batch data export and digital archival.

Platform Variants

1. Microsoft Power Automate

• Feature/Setting: Flow with "HTTP" action to automate SCADA API polling and automated SharePoint archival configuration.
  

2. AWS Lambda

• Feature/Setting: Automating Python handler for OPC UA data fetch from SCADA and S3 archival via S3 API PutObject.
  

3. Azure Logic Apps

• Feature/Setting: Automated Logic App workflow with OPC UA connector for SCADA and Blob Storage archival endpoint.
  

4. Google Cloud Functions

• Feature/Setting: Event-driven automator for SCADA dataset extraction and Google Cloud Storage archival.
  

5. Ignition by Inductive Automation

• Feature/Setting: “Tag Historian” scripting for automated data export to file or database, automatable via project resources.
  

6. Kepware KEPServerEX

• Feature/Setting: REST client plugin for automating SCADA-to-database or file exports via RESTful endpoints.
  

7. InfluxDB

• Feature/Setting: Automated write API for SCADA time-series extraction; retention policy for archival automation.
  

8. OSIsoft PI System

• Feature/Setting: PI DataLink/PI Web API for automating bulk data pulls and automated archiving.
  

9. Splunk

• Feature/Setting: HTTP Event Collector (HEC) for automating SCADA data ingestion, archive via indexes.
  

10. Siemens WinCC OA

• Feature/Setting: WinCC OA API scripting automates data retrieval and CSV/XML data archival.
  

11. Wonderware AVEVA System Platform

• Feature/Setting: Automated scripting for Historian data extract and automated file/folder output.
  

12. UiPath

• Feature/Setting: RPA workflow automating SCADA HMI screen scraping and automated file push.
  

13. Zapier

• Feature/Setting: Webhook trigger for automating SCADA data reception and automated Google Drive/Box archival.
  

14. Apache NiFi

• Feature/Setting: Processor chain for automating SCADA data flow and automated storage in on-prem/cloud.
  

15. IBM Cloud Functions

• Feature/Setting: Automated Node.js action to extract and store SCADA logs in IBM Cloud Object Storage.
  

16. Node-RED

• Feature/Setting: OPC UA and file output nodes to automate SCADA extraction and digital archival.
  

17. Dropbox API

• Feature/Setting: Automated /files/upload endpoint for digital SCADA data archival.
  

18. Postman Monitors

• Feature/Setting: Scheduled API collection to automate SCADA data poll and push to archival system.
  

19. Elastic Stack (ELK)

• Feature/Setting: Filebeat/Logstash automates SCADA data input and indexing for archival and audit.
  

20. IBM Maximo

• Feature/Setting: Automated integration with SCADA for work order generation and archivable data logs.
  

21. SharePoint Online

• Feature/Setting: Automated Document Library as destination for digital SCADA record archive, supporting retention.
  

22. Google Drive API

• Feature/Setting: Automated v3/files.create for high-redundancy archival of SCADA datasets.
  

Benefits

1. Automates time-consuming manual data pulls and archival procedures.

2. Automatedly increases data integrity, completeness, and traceability across corporate operations.

3. Ensures rapid, automatable access for compliance, audits, and performance reviews.

4. Supports operational resilience with automated, redundant digital archives.

5. Drives automator-driven efficiency, reducing risk of human error in SCADA data management.

6. Automate data pipeline to accelerate analytics, reporting, and AI model training in water treatment optimization.