Features
- Remote control and data transfer through a built-in GSM modem.
- Anti-theft feature – SMS notification in the event of position change (built-in GPS receiver).
- Real-time clock synchronized to GPS protocol.
- Remote control of the analyzer via software: Sonel Analysis (Wi-Fi and GSM for Windows) or Sonel Analysis Mobile (Wi-Fi for Android).
Capabilities
PQM-710 has a built-in GPS receiver ensuring real time clock accuracy and an integrated GSM modem that facilitates remote analyzer operation.
An additional trump card of the analyzer is the built-in Wi-Fi communication module, providing a number of advantages: no restrictions on file transfer, no data transfer costs, use of local wireless infrastructure… This gives the user the opportunity to adapt to the conditions prevailing on the site. They can supervise measurements from a convenient location – for example, an area without electromagnetic interference – using a laptop, smartphone or tablet.
Displaying data
PQM-710 can be operated using a touch screen computing device equipped with Sonel Analysis software (Windows) or Sonel Analysis Mobile app (Android). The user can supervise the measurements and conduct diagnostics while maintaining mobility – he doesn’t even have to be near the analyzer. In typical applications, the device plays the role of a remote display and an intermediate storage of measurement data with the functionality of a router. Therefore, the user can also connect to it using a wireless network – for example, to transfer the collected registrations to a desktop computer.
Application
PQM-710 is widely used in the professional power industry. It provides full 4-quadrant analysis, meeting the needs of energy consumers and producers, such as renewable energy, including photovoltaic and wind farms. It enables forecasting failures in distribution networks. It provides analysis of the load capacity of networks and transformers, as well as recording their current states. In addition, it is powerful investment tools. Thanks to PQM-710, the user will obtain the necessary data for development of power infrastructure, predict potential problems, and finally – verify the correctness and quality of implementation.
