OM.R921-ZH Transformer Comprehensive Online Monitoring System

Product Overview
OM.R921-ZH Transformer (Reactor) Comprehensive Condition Monitoring Device leverages multi-dimensional, full-parameter monitoring—capturing partial discharge signals from the transformer, body vibration signals, ground current readings, bushing dielectric loss measurements, and oil chromatography—to systematically acquire, continuously track, and comprehensively analyze multi-faceted condition data. This enables integrated monitoring and diagnostics of critical components such as the transformer core and bushings, identifying common faults like partial discharge, winding deformation, bushing aging, and transformer oil degradation. The device also processes and evaluates the collected data in a holistic manner, providing real-time assessments of the transformer’s insulation and operational status. Based on these insights, operations and maintenance teams can proactively schedule maintenance activities, preventing equipment failures that could lead to major grid disruptions—ultimately ensuring reliable system operation at the lowest possible maintenance cost.

System Architecture

Sensing Layer: Composed of various sensors, such as ultra-high-frequency partial discharge monitoring sensors and core vibration monitoring sensors. These sensors come in diverse types and can be installed flexibly, enabling the collection of multiple signal types—including partial discharge, vibration, and grounding current from core clamps—thus providing raw data for the monitoring system.
The Integrated Monitoring Unit (IED) shoulders the critical task of data processing. It can automatically collect data from sensor units, perform analysis, and store the information securely. Equipped with a range of advanced functions—such as data standardization, transmitting results and early warning messages to the backend system, and receiving control commands—the IED also supports multiple communication protocols, enabling seamless data exchange with both sensor units and the integrated monitoring backend.
Comprehensive Monitoring Backend: Utilizing a configuration-based architecture (such as the B/S architecture of OM.A300 software), it facilitates the seamless integration, display, and analysis of various monitoring data. This enables real-time data navigation, graphical analysis, and other advanced features. Additionally, it can seamlessly connect with higher-level monitoring platforms, empowering operations and maintenance personnel to gain a comprehensive understanding of equipment status and make informed, data-driven decisions.

Advantageous Features
● Panoramic Data Visualization: Comprehensive analysis and aggregation of multi-dimensional data, including core parameters of main transformers, equipment alerts, operational statuses, and maintenance decision recommendations. Data metrics are presented through hierarchical and categorized displays, providing operations and maintenance personnel with an intuitive, all-encompassing view of information—enabling macro-level insights to be "seen at a glance," while micro-level details can be "queried with a single click."
● Multi-source data fusion: Integrating multi-dimensional, all-around data; combining diverse monitoring methods for comprehensive diagnosis.
● Proactive anomaly alerts: threshold alerts, trend alerts, growth alerts, and comprehensive alerts
● Equipment Defect Degradation Prediction: For equipment identified with defects in the monitoring and tracking database, we apply a fitting algorithm to automatically analyze the quantified severity values of latent defects based on dynamic tracking and diagnostic records. This process intuitively visualizes the degradation progression of equipment defects, predicts their future deterioration trends, and guides operations and maintenance personnel in proactively addressing these defects.

Comprehensive State Monitoring IED Parameters