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Link up our partners in the value chain with expertise, resources, and commitment to complete your blueprint.
Provide the required integrated energy monitoring for different fields, including environmental and energy monitoring.
• Integrated distributed energy generation monitoring
• Energy consumption monitoring by user scenarios
• System warning notification
• Remote control and examination
Assist partners to flexibly adjust the site configuration, and understand the real-time status of each device, and extend the equipment lifecycle.
• Gateway and site equipment health status monitoring
• Energy Storage System(ESS) Monitoring of battery charge/discharge and power conversion status
• Initial configuration setting and deployment in field
• Equipment adjustment and assessment report
Measure the energy utilization in the grid, and reduce maintenance costs effectively.
• Energy efficiency measurement and verification (M&V)
• Energy generation and consumption forecast based environment index
• Site Problem Management
According to different use scenarios and requirements, we propose suitable services and create more possibilities for partners.
• System integration and planning
• API/web Service
• Interactive dashboard and energy visualization
• Industry Digital transformation consulting service
• Tailor-made partner Portal
When deploying to the field, gateways usually operate in places that might limit or require intermittent connectivity to the cloud. We are committed to introducing a common data infrastructure and expanding domain communication protocols in energy industry.
To ensure a variety of advanced sensors and legacy devices are connected successfully by running our edge modules and comply with global standard and interoperability framework. It enables intelligent flow management & scheduling and operation mode switching to ensure data transmission quality, upload stability, and interact with the cloud service.
* IEC61850 Protocol Stack
* OpenFMB Framework
Eliminate the latency limitation between the device and the cloud. Deploy our edge gateway at the local side, and use the pre-installed edge modules to decentralize data insights and actions that traditionally need to be done in the cloud. We enables applications to be partitioned to run at the optimal network level to reduce response time and unnecessary data significantly. As the numbers of sensing data grow, so does the need for efficient storage security in a variety of environments. Through the Microsoft Azure encrypted certificate mechanism, it can ensure the security of module expansion, status aggregation, remote control and monitoring, without worried about data theft and tampering.
Microsoft Azur has a very complete IoT architecture. There are several key features we’d loved to address. From a management perspective, Azure has enabled a rich management service for Azure IoT Edge instead of the traditional SDK. Supporting different operating systems such as Windows and Linux is a big advantage when integrating system communications.
In addition, Azure supports seamless deployment of advanced capabilities such as AI from Microsoft, and any 3rd party, today and tomorrow. In other words, we can continue to add or deploy new self-developed edge modules or from the ecosystem such as computer vision or big data analysis.
The EGS-M01 get flexible connectivity and edge computing abilities which helps for site operation in data inquisition, device management through ethernet or mobile connection.
The GWS-APL is Azure PnP approved device. Provides edge computing abilities make field workers easily utilize in energy site for data aggregation through ethernet.
The EGS-M11 10.1 inch HMI provides edge computing abilities which helps for detail site operation by interactive application for improving maintenance performance and various special add-on service through ethernet or mobile connection.
#Communication
Edge A synchronizes and communicates with field equipment. Interprete signals from different interfaces and exchange information between devices ,such as modbus RTU/TCP, CAN bus.
#Information management
Edge X divides and stores fetched data into different levels locally. Only relevant messages are delivered by scheduler. Therefore, the invalid and redundant data is greatly filtered and reduces the burden of cloud analysis services.
