WX9000-PES
WX9000-PES
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  • WX9000-PES
  • WX9000-PES

WX9000-PES


Xinhong Digital Intelligence System


  • Core Advantages
  • Technical Parameter
  • Function:

    The WX9000-PES New Hong Digital Intelligence System is widely used in monitoring sites such as smart grid monitoring, energy storage, photovoltaic systems, charging stations, and reactive power compensation. It serves as the core control system for power monitoring applications. The system adopts a distributed and hierarchical design architecture, supports multiple protocol access methods, and can be deployed at both distribution and consumption sites. It enables functions such as equipment monitoring, power system operation monitoring, and EMS energy management. The system features configurable graphic interfaces and allows for customizable user interfaces. Even with extremely low server resources, it can achieve real-time data ingestion at the million-level scale. Based on web services, the system can be privately deployed and complies with power communication security standards.

    Product image:

    System architecture:

    Core advantages:

    1. The SCADA system features a multi-dimensional architecture integrating panoramic data acquisition, intelligent control, rich strategies, a computing power hub, and multi-source visualization. It offers a platform-based and scalable SCADA hardware and software architecture at the station level. Built on the Linux operating system, the software architecture adheres to standardization and openness. The software architecture and interfaces for foundational software and supporting services meet the requirements of platform-based design, ensuring compatibility with rapid configuration and import needs across all projects.

    2. Address the complexity arising from the large number of heterogeneous devices and networks in power plants. The system supports more than 30 different communication protocols. To enable connections among bay-level devices, edge computing provides “field-level” computational capabilities, facilitating the mutual conversion and seamless interconnection of various network communication protocols while also effectively tackling the daunting challenges associated with heterogeneous network deployment and configuration, as well as network management and maintenance.

    3. Significantly enhance the real-time performance and reliability of system integration and control, and provide new capabilities—such as “device openness and data sharing”—required for the cloud-edge-end architecture of the system. The intelligent manufacturing, networked collaboration, personalized customization, and service-oriented extension that the system demands all necessitate a shift in the station-level SCADA system based on an edge-computing architecture to address issues such as data cross-over between system modules, redundant computations, and communication redundancies. At the underlying layer, data acquisition, computation, and services will be shared, enabling unified modeling, unified storage, unified computation, and unified data open standards and services for secondary protection and measurement devices, auxiliary control systems, fire protection systems, air conditioning systems, and other related components.

    4. We provide a next-generation station-level SCADA architecture featuring “edge computing—cloud-edge collaboration.” The edge nodes of the shared large platform, where system-generated data is aggregated, possess vast amounts of real-time, comprehensive data. The edge represents the location with the most complete and up-to-date data. The development direction for large-scale systems is to integrate emerging technologies such as artificial intelligence with both cloud platforms (for long-term model data) and edges (for real-time on-site data), thereby providing new impetus for optimizing business processes, automating operations and maintenance, and driving business innovation within the aggregation platform system, ultimately delivering significant efficiency gains and cost advantages. The development of edge computing can complement large platforms in terms of data analysis applications and industrial intelligence advancement, enabling a new “edge-cloud collaboration” model.

    5. Provide a distributed system architecture to accommodate various types of scenarios and power stations at all levels. The system is adaptable to different kinds of power stations, which can be categorized along two dimensions: first, the size of the site; and second, the specific scenario, such as substations, distribution stations, monitoring stations, and so forth. The SCADA system should be deployable in single-machine, dual-machine, and server-cluster environments.

     

Keywords:

WX9000-PES

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