With the endless procession of data being delivered from synchrophasors to meters to transformers, utilities are looking for effective ways to interpret the digital stream. Zpryme reached out to our thought leader, Eedo Lifshitz, Zpryme Smart Grid Insights Advisor and AVP Business Development and Strategic Alliances for cVidya for a closer look at big data, analytics, and smart cities.
Q&A WITH CVIDYA [Eedo Lifshitz, Zpryme Smart Grid Insights Advisor and AVP Business Development and Strategic Alliances for cVidya]
[ZP] Will Smart City projects require Analytics solutions and if so, for what purposes?
[CVIDYA] Smart cities use information and communication technologies (ICT) to become more intelligent and efficient in the use of resources, resulting in improved service delivery, personal security, quality of life, education, and economic growth, while at the same time reducing environmental footprint and enabling a sustainable low-carbon economy. Smart City projects are enabled by connecting municipal services such as smart traffic systems, street lights, public safety, electricity, gas and water services through a standard IP network. Each Smart City application is developed to achieve one main purpose, and it only makes sense that these silo applications will soon share information between them through standard interfaces and data sources that will allow them to improve service and benefits. For example, the popular Waze application that helps car drivers to plan their route and avoid traffic jams, can share with the municipal traffic light system aggregated data regarding where traffic is heading during the next 30 minutes, which will allow it to make better traffic decisions, resulting in less traffic jams, lower gas emissions, and higher productivity. This type of data sharing, processing and analysis will be provided by analytic capabilities that will be integrated into the systems.
[ZP] Will any of these applications require Big Data?
[CVIDYA] Absolutely. Big Data is about high volume, variety and velocity of data. Imagine how a Smart City could improve personal safety and reduce crime, if all, or at least many, when data from video surveillance and alarm systems, separately deployed by various municipal departments, utilities and businesses, could be shared and correlated. This would require large volumes of data in high velocity. If you add additional data sources such as phone calls and social networks, you suddenly have a variety of data, requiring a Big Data application.
Access the full interview here: Q&A with cVidya and Zpryme Advisor Eedo Lifshitz