Cross System Data Collection of Electric Power Research Institute
Enhancing real-time power grid monitoring with RPA automation
Key Solution: Robotic Process Automation (RPA)
Challenge
Information Silos: The Development Safety Supervision Department must overcome data isolation by collecting real-time information from a multitude of legacy business systems covering power generation, transmission, transformation, distribution, and consumption.
Cross-Departmental Coordination: Coordinating resources across various departments involves cumbersome, lengthy processes and high time costs.
Limited System Access & High Costs: With only front-end access permissions available—rather than direct database access—and a complex system history, secondary development efforts are both costly and labour-intensive, making traditional data collection nearly impossible.
Solution
RPA automates the data collection and integration process across all these disparate systems without requiring any major modifications to the source systems. Digital employees log into each relevant platform, extract real-time data, and consolidate it onto the Power Grid Technical Supervision Analysis and Early Warning Platform, thereby streamlining cross-system collaboration.
Before Implementation:
- Source system integrity by avoiding any changes to the existing systems.
- Facilitates easier cross-departmental collaboration.
- Delivers high data collection efficiency, a short project cycle, and low implementation costs.
- Ensures high data authenticity, accuracy, and timeliness for effective early warning and analysis.
After Implementation:
- Simplifies the aggregation of critical power grid data.
- Transforms a previously ‘impossible task’ into an efficient, cost-effective process.
Impact
100% Accuracy
75% Efficiency
60% Improved Cross-Department Coordination