IRIS, big data and obtaning of hourly values (load profile)

IRIS hourly valuesThe generation of hourly values (load profile) in PRIME gateways is a challenge for each deployment done with this technology. The impact in the performance of these devices is not easy to assimilate: from the obtaining a daily billing in the best of cases to the obtaining of a number multiple by 24 per meter and day.

This overwork has implications like the management over meters with bad PLC coverage, more traffic between the telemanagement system and gateways...

In comparison with any similar product, IRIS controls completely the whole process and it is able to optimize it for get the most number of hourly values as possible.

The activation of load profile in gateways implicates the obtaining of S02 reports by each meter deployed in the system. Besides, the software platform that manages the telemanagement equipments need be able to control this huge of data in a big deployment. Thus, this information must be:

  • Processed: the telemanagement system (MDM / MDC) must have the enough capability in order to receive this hourly information.
  • Managed: must also have capability of storage to save this data in a efficient and optimized way.
  • Exported: must count with a agile mechanism to export (with or without previous validation) all this volume of information to a third system of the utility.
  • Efficient: all of this operations cannot interfere in the operation capability of the meters (obtaining of events, cuts / reconnections, power changes...)

By example, for a deployment about 50000 meters, daily, in a real scheme, the system will receive 1.2 millions of hourly values (more than 400 millions in a year).

The optimizated management that IRIS does over this volume of information, converts it in a efficient and functional platform to the processes of great amount of load profile:

  • Information is saved in a very optimized way in data base.
  • The exportation mechanism of IRIS repository allows to send all of these data to third system of the utility without wait time.
  • IRIS and big data go together, so the information is sent directly to Hadoop cluster.
  • Last, the mechanism of smart recuperation of IRIS allow manage the gateways in time windows of no-operation to maximize the percentage of load profile obtained without overloading gateways.

By all of the above, IRIS is the warranty of fulfillment of law that forces the obtaining and management of the meter load profile.

Friday, April 4, 2014