The photovoltaic power station monitoring system, built on the ZSCADA platform, integrates station-level production management systems, operational management apps, and mobile maintenance apps to create an intelligent PV production management platform. The system comprehensively incorporates core capabilities including equipment data collection, real-time monitoring, remote control, and alarm management, effectively addressing critical challenges such as incomplete data acquisition, delayed maintenance responses, and chaotic daily management processes.
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Supports equipment data collection and remote control, presenting real-time station operation status through multi-dimensional views, and integrates on-site inspection and mobile viewing capabilities for a unified cloud monitoring and on-site operations maintenance system.
Provides tiered alarms, batch processing, and diverse notification capabilities, combined with intelligent analysis, IV diagnosis, and defect management to establish a complete maintenance chain from alarm triggering, intelligent diagnosis to defect closure.
Establishes equipment asset records and spare parts inventory archives, linking equipment codes with spare parts usage records, covering equipment入库, commissioning, maintenance, and disposal stages.
Integrates station-level production management systems to standardize, digitize, and track all work processes, achieving closed-loop management from task dispatch, execution to acceptance.
Supports multiple communication protocols (such as IEC101/104) for seamless integration with mainstream equipment, ensuring interoperability with different PV equipment brands for unified station management.
Integrates mobile maintenance apps to push alarm information in real time to maintenance personnel, supporting remote viewing of fault details and processing progress, significantly reducing fault discovery and resolution time.
Photovoltaic power plant operators, photovoltaic asset operation and maintenance service providers, and regional new energy power stations.