The Hark Friday Five is a weekly collection of the Hark team’s top picks. Articles, books or tweets, this is the definitive roundup for the world of Hark.
Digital twins are a digital representation of a process, service or physical object. This computerised replica of the system or object is used to predict and assess performance and behaviour. A Digital twin’s main aim is to aid decision making by providing realistic indications of a systems current and future behaviour.
Sensors. Gateways. Devices. Cloud platforms. There’s probably less than you’d think that goes into the digital transformation of a business. Nevertheless, getting the entire system connected can seem like a mind-boggling minefield of buzzwords and jargon.
If the Autumn fuel crisis had done anything other than make headlines and annoy motorists, it had brought to focus the significant benefits of the switch to electric vehicles (EVs). As the seemingly straightforward answer for the least-environmentally friendly industry, the EV movement is garnering some real momentum.
Shift patterns and shift management plays a huge role in the energy efficiency and productivity of industrial assets. Providing insight into asset shifts is the key to discovering system inefficiencies and unlocking control strategies which can simplify operation and ensure production targets are met.
This study explores the service received by a customer with a water treatment facility and significant raw water ingress. They needed to enhance visibility, enable analysis and create potential preventive alerts for their facility.
We love anything relating to energy. We love it even more when it’s technical. And we love it, even more, when it’s being used for the greater good: to reduce the effects of climate change.
Vibration analysis is one of the most important and effective methods of detecting the health of machinery. Vibration data can help us identify faults or detect warning signs of potential failures. It can also aid in the detection of misalignment or unbalance of assets such as bearings and rotating pieces of equipment. By looking at vibration data, we can also identify high and damaging levels of vibration.
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