Covering equipment monitoring, environmental management, energy statistics analysis, energy management, energy storage scheduling, event alarms and report management, etc., it can carry out all-round control of energy storage power stations from different angles
The equipment monitoring module can view real-time data of the equipment in the form of configurations or lists, and can also control and dynamically configure the equipment through this interface, which is convenient for the operation and management of the equipment in the station
SSupport for multi-level alarm (general alarm, important alarm, emergency alarm), can set various types of alarm threshold parameters and thresholds, and all levels of alarm indicator color, sound alarm frequency and volume can be automatically adjusted according to the alarm level, alarm prompts in a timely manner and to provide printing capabilities
It can save all kinds of historical monitoring data, alarm data and operation records and other performance data in the system to the system database or external memory for easy access to subsequent inquiries and other uses
A monitoring and operation system for the equipment in the Huijue integrated energy cabinet and photovoltaic energy storage equipment. |
A set of supporting software for Huijue energy storage series products |
It can collect data, display data, detect faults, remotely control, and dispatch multiple sources for the monitored objects |
It can be deployed in the cloud or locally, and can be logged in using browser software |
It is equipped with a smart mobile terminal APP to meet the needs of users to view and manage integrated cabinet resources anytime and anywhere, and is suitable for on-site construction and on-site operation and maintenance engineers |
Note: Specifications are subject to change without prior notice for product improvement. Data Sheet
Mainly used for energy control within the microgrid, maintaining the microgrid power balance, to ensure the normal operation of the microgrid;
Demand and application scenarios are diverse, and the workload of the software system is extremely large;
It can meet the on-site energy scheduling requirements of small and medium-sized commercial grade energy storage systems
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