Built for the industry
Affinity Networkflow development has been guided by engineering and business experts recruited from the industry. They understand the day-to-day issues that face your business and this emphasis, combined with our proven technology, has resulted in a solution which is ready for real world deployment. Networkflow has been designed to enable the following key business objectives:
Operational control and forecasting
Faster fault finding – a large volume of outage events can be processed into a single high priority event relating to a network asset where a fault has occurred.
Next day fault analysis – having intelligent data about an outage will save time in understanding the nature, extent and possible cause of the fault.
Developing great customer service
Remote diagnostics – when a customer calls to complain of poor service, the customer agent can request a status check on their meter. This will immediately highlight any connection issues, recent outages, voltage events and changes to firmware, providing immediate evidence to send to a power quality engineer for escalation.
Standardised measurement of operational outcomes
Visibility of network performance and efficiency – operators can view the impact of initiatives on network performance. This data will be collected by Networkflow and made available in customisable reports within Networkflow.
Extracting intelligent statistics from data
Enabling a technology framework for new use of network and data from low carbon technologies – This data, as with smart meter data, only has value when managed and related to the network. Networkflow has the capability to efficiently store this data, cleanse (validate, estimate, edit) and manage events from it. The ability of Networkflow to deploy advanced algorithms, such as demand forecasting and optimisation, as well as masked load analysis and more, means it can provide a powerful smart grid platform from which to manage data, events and devices on the network in relation to its real time status. This exploitation of data hasn’t been achieved at scale by any utility at present and would provide a landmark innovation project.