advanced data analytics monitor in real time the health of your T&D grid
Smart Analytics & Visualization
The MetryView server performs two-way communications between deployed MetrySense sensors and RTUs in the field, analyzes the data that is collected and partially analyzed by the sensors, and visualizes analysis results using a graphical interface featuring a well-conceived UI/UX. MetryView can also be integrated with other software systems such as SCADA DMS (Distribution Management System), MDM (Meter Data Management) and OMS (Outage Management Systems).
The MetryView software is designed to run on the customer’s own servers or alternatively on Metrycom’s secured web-server.
The following block diagram illustrates MetryView’s architecture and interfaces:
Network management module
The network manager is responsible for building and maintaining ongoing communication with MetrySense sensors and gateways.
When a gateway is added to the system, the network administrator registers the gateway using simple and secured procedure. The sensors automatically join the gateway and form a cluster, which is a mesh radio network that is controlled via the gateway. Once the cluster is created, the administrator can connect physical sensors to logical elements of the electric network (such as electric towers) and collects valuable information in the process.
The network analyzer allows the administrator to access detailed network management information, including
- Rechargeable Battery status
- Backup Battery status
- Received radio signal levels (RSSI)
- Communication faults
- Communication statistics between each sensor and neighboring units
Network management: Battery status
In addition to its advanced monitoring and analysis features, the communication management system includes a configurable event monitor designed to report various types of events to designated users via e-mail or SMS. Such events include communication fault, low battery warning, etc.
Optional software interfaces with SCADA/MDM/OMS
MetryView support interfaces with existing control software.
SCADA (Supervisory Control and Data Acquisition)
Interfacing with SCADA is available via a DNP 3.0 interface. Using this interface, fault indication data can be directly displayed on SCADA.
MDM (Meter Data Management)
MetrySense-3000 routers and RTUs can be connected to electricity meters via serial RS-232 interfaces. This feature is especially useful for communicating with meters of remote customers in large rural areas. By using an interface to MDM, the meter reading and control can be done directly from the existing MDM system.
OMS (Outage Management System)
The network manager and analytic modules can be accessed via an open web-service API by OMS systems. This allows to present and use fault information directly from the OMS.
MetrySense-4000 analytics software module for flashover prediction
MetrySense-4000 sensors are measuring and partially processing electromagnetic signals, which are produced by dry-band-arcing (discharges) over contaminated insulators. The processed data includes data covering time and frequency. This data is sent in real time to the MetryView server and stored in its database. MetrySense-4000 analytics module analyzes the information received from the sensors including the historical information, which is stored in the database.
The analysis is taking into account data, which was accumulated over a period of time (ex: last 2 weeks) in order to reach a reliable decision. The relevance of using sensor information collected over a sufficient time range since dry band arcing and flashovers change when humidity, wind speed and temperature are fluctuating.
The following real example shows the variation in dry band arcing level of a Yellow state sensor until a washing operation was performed:
Because MetrySense-4000 analytics module is processing hundreds of samples per week, it can reach reliably assess contamination levels and predict the risk of developing a flashover. This is one of the key advantages of the MetrySense-4000 system, especially when compared to inspection of contamination using corona cameras, which are usually carried by helicopter and can observe dry-band-arcing only at the time of inspection, depending on the humidity, wind speed and temperature condition prevalent at the time of unit scanning.
The MetrySense-4000 analytic module presents the results in two main forms:
- Sensor reading graphs
- Maps with Google-Erath interfaces presenting each sensor in colors that represent the risk of flashovers.