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Energy monitoring system ‘costs 30% less’
The French manufacturer Socomec has developed a modular energy measurement and monitoring system which, it claims, can be implemented in a quarter of the time of rival metering technologies, and at a cost that is 30% lower.
The Diris Digiware system is based on four main elements: a central display; voltage-measuring modules; current-measuring modules; and current sensors. The compact modules are claimed to free up space in equipment cabinets.
The current modules are interconnected via a bus system using RJ-45 cables, allowing energy consumption to be measured close to the actual loads. Each module can monitor one or more circuits via current sensors using independent current inputs (three, four or six, depending on the module). With three inputs, a current module can monitor a three-phase circuit or three single-phase circuits. Optional split-core current sensors allow the system to be retrofitted easily to existing installations.
Plug-and-play RJ-45 and RJ-12 connections allow the modules to be integrated quickly, as well as configuring the connected current sensors automatically. Remote monitoring points can be linked either wirelessly or via RS-485 cables.
Installations can be implemented without a central display using an interface that centralises data from the modules and remote devices on one or more communication gateways. Each gateway includes a Web server for monitoring electrical parameters in real time and for analysing energy consumption data.
An optional touchscreen tablet can be panel-mounted and connected to the system by Ethernet cable or WiFi to provide data to energy management software.
The system is claimed to be accurate over a wide range of loads and performs measurements in accordance with IEC 61557-12, class 0.5, for the global measurement chain from 2–120% of nominal current (using TE current sensors).
The system can help to identify major loads and monitor multiple electrical parameters constantly for any anomalies. By monitoring the quality of electrical energy, it can anticipate network malfunctions.
