Discover our innovative monitoring and management solutions that help energy operators secure better customer outcomes and realise greater returns from their network infrastructures.
Our train monitoring and signalling power solutions help railway operators keep their fleets running in peak condition.
At Camlin we’re engineering better futures. We want tomorrow to be better than today. For our customers. For their customers. For our own people. And for the wider world around us.
Data – and the insight it provides – drives everything we do. Our advanced analytics capabilities puts Network Operators firmly in control of their networks and support strategic decision-making.
At Kelvatek, we’re experts in distilling terabytes of network data into actionable intelligence. Our advanced capabilities in analytics, artificial intelligence and machine learning allow our team of data scientists, software/electrical engineers and physicists to analyse millions of data points collected from the smart devices on LV cables and other network assets.
The powerful insights we deliver from our clients’ fault and load data allow them to maximise returns from current network investments, make informed strategic decisions, deliver improved customer outcomes – and embrace the opportunities of Net Zero.
The data we collect is transparent and open, giving Network Operators powerful tools to optimise network performance and guide operational strategies.
Increased visibility of the network enables a more proactive approach to fault management - improving quality of supply for customers as they become more dependent on the network.
By anticipating future faults or changes in load profiles, we enable Network Operators to take remediative action before issues trigger supply interruptions for customers and costly penalties.
The forensic insights we derive from fault, asset and load data are drivers for efficiency and value – giving Network Operators new opportunities to maximise returns from current network.
Our advanced data & analytics capabilities and expertise help Network Operators understand the impact of Low Carbon Technology adoption on load behaviour and asset health.
Our international team of data scientists, software specialists, engineers and physicists use data from real-world energy networks to enable cutting-edge, new fault detection and management strategies.
Powerful AI and Machine Learning algorithms sift through signals from LV cables, transformers and substations, uncovering the real story hidden in terabytes of network data. This gives Network Operators a detailed picture of cable routes, other asset connectivity and history as well as visibility of low carbon technologies on the network.
Analysis of this dataset yields a sophisticated virtual model of network health and trends over time, helping inform Network Operators’ long-term network management and investment strategies. By anticipating future faults or problematic changes in load profiles, this allows them to take remediated action before supply interruptions and costly penalties.
Kelvatek’s comprehensive suite of services provides Network Operators with round-the-clock visibility and control over their LV networks.
Combining advanced analytics with the vast experience of our technical support team, Sapient transforms real-time power flow and load information collected from our smart devices in the field into actionable insights. Enabling operators to optimise network performance, manage customer demand and support proactive network planning.
Learn more about Sapient
We offer an optimal strategy to deploy our AI-enabled LV monitor, PRESense to a subset of LV substations.
This allows Network Operators to locate developing faults ahead of time and resolve incidents before they impact customers. This results in a trio of benefits for clients including, LV fault management, asset health and load management.
This is achieved by employing our AI and Machine Learning expertise to analyse various historical industry, socio economic and asset-based data sources to determine the areas of the network that would benefit most from LV monitoring.
View the infographicKelvatek’s dedicated Parma-based Machine Learning Group use artificial intelligence and machine learning to give predictive information to network operators about forthcoming asset failure, load behaviours, and LV Fault Management strategies.
They do this by analysing the data collected from our smart devices connected on the network and identifying patterns and correlations in historical data that help to formulate future strategy.
Working together with other parts of our engineering teams, they then automate the process behind the insights and provide these as packaged business capabilities to our customers.
Read MoreOver the last 20 years Kelvatek’s expert team of engineers, data scientists and PHD specialists have been developing innovative methods of analysing the very complex power flows that happen in the instants surrounding a fault.
We have accumulated over 50 working years of dedicated research developing and training algorithms that can reliably and consistently analyse, classify, and translate this high-volume, deeply complex data into actionable information.
We sort through terabytes of waveform data captured via our proprietary triggering algorithms, aligned with phases and locations to produce a distance to fault, often before the first fuse operation.
Read MoreDuring this 40-minute panel recording, you'll hear a range of industry experts and influencers discuss the past, present and future role of data.
Addressing the following questions;
We’ve been working in collaboration with Network Operators across the UK & Ireland for over two decades to support their strategic goals and help them pivot successfully to a low carbon future.
Get in touch if you’d like to know more about our Advanced Analytics capabilities that help maximise returns on their network investments, deliver improved customer outcomes and embrace the opportunities of net zero.
Simply complete this enquiry form or call us on 028 9262 6989 (UK) to speak to a member of our team.
