Toronto Electricians and Electrical Contractors

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Smart manufacturing is all about leveraging the collective benefit of advanced technologies to optimize operations and gain competitive advantage.  Smart infrastructures within plants enable a more efficient manufacturing process allowing for faster responses to dynamic marketplace demands.  A core component within the smart manufacturing facility is the smart machine . This is why OEM machine builders now find themselves at the heart of the industrial digitization revolution. The smart machines they build are the pillars of smart manufacturing. Core to the smart machine is the smart controller. To a design engineer, “smart” means a controller built not only to control a process, but one that is also capable of communicating and linking to an IT layer. This linkage allows for the interpretation of data that can signal dynamic changes in machine workload demand, material and resource availability, and, when considered in aggregate, the overall plant capacity.  The link ...

Protecting people from shocks has always been a priority in AC electrical system design. Equipment is typically designed to provide a barrier to anyone making physical contact with a live conductor, either through the use of insulation or other means. However, such contact can sometimes accidentally occur, causing what’s termed an ‘earth leakage’ or ‘residual’ fault current to pass through the person’s body. And it only takes 30 mA of current through a hand to the feet to cause death, unless the current is interrupted within a very short amount of time. Residual current devices (RCDs), or GFCI in North America, are designed to protect again this risk. However, there are new challenges due to the growth of electrical system applications, such as electrical vehicle charging stations, photovoltaic installations, and the wider use of variable speed drives for motor control. This has resulted in residual currents that are not purely sinusoidal. In this two-part blog post series, I’ll prov...

Predictive Analytics is the classic Internet of Things (IoT) application. In the simplest sense, you connect sensors (temperature, vibration etc.) to assets (equipment, buildings, trucks), send the data to the cloud, and then apply predictive analytics to identify and prevent potential failures. With today’s technology, it is relatively easy to accomplish. You can do so by building your own using a library of components or you can go to a 3 rd party vendor like SAP or AVEVA . You even have the choice of whether to run these toolsets on a private cloud, public cloud or hybrid cloud. Another option is to use digital services from the equipment provider. It goes without saying that although you know your process better than anyone else, the equipment provider knows their equipment better than anyone else as well. We see the debate on which path to choose playing out right now in the mining and metals worlds, particularly around mobile fleets from vendors like Caterpillar. There is ...