How Industrial IoT can Help Improve Energy Efficiency in Manufacturing
“How can connectivity help with efficiency in manufacturing?”
The digital revolution of the Internet of Things is transforming everything in its wake, and manufacturing is no exception. With increased connectivity, automation can be made much more efficiency, therefore reducing energy consumption used and greenhouse gas emissions generated. This is just a small example of How Industrial IoT can Help Improve Energy Efficiency in Manufacturing.
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“Can we recycle batteries?”
Once used up, batteries are thought to be gone for good. This idea especially compounded since their hazardous composition makes them banned from normal municipal waste. However, if we use our engineering mindsets, then we can know that some of the parts can actually be reused, especially the plastic and chemicals used.
How Additive Manufacturing Can Help With Sustainability
“Can Additive Manufacturing help fight Climate Change?”
Additive manufacturing is any maker’s dream. But did you know that it could also help fight global warming? Well, because additive manufacturing makes items by adding layer upon layer of material, it is not limited by traditional manufacturing processes. Therefore, less material can be used, and slimmer, more efficient designs can be achieved. As a result, manufacturing will become less resource intensive, and carbon emissions can be reduced.
“How can we use statistics to describe industrial quality?”
Even with the most perfect manufacturing processes, flaws are expected to happen during production. As such, we need a way to quantify how stable a given industrial output is. So how can we use our engineering mindset to solve this? Well, we know that if an item’s measurements become three standard levels of deviations outside of the mean, then it is probably unusable. So what if we were to create a chart that would graph the average of all measurements for each part with along with the mean and the tolerance levels so we can visually see anything out of the ordinary? Well, this is called an X-bar Chart and the control limits can be calculated by the formula UCL/LCL = (mean of all measurements) +/- 3*(standard deviation of all measurements)/sqrt(number of measurements per sample).
Fault Detection and Diagnosis
“How can we monitor a facility for component breakdowns?”
When running industrial facilities, components are very prone to failure, which can cause large amounts of money and energy to be wasted. So how can we make sure that these facilities are protected from such failures? Well, what if we were to implement a network of sensors that would collect data from a facility, which would then be parsed through algorithms. If any of this data finds any strange patterns, it can sort out the underlying cause and solve any issues. This technology is known as Fault Detection and Diagnosis and is one of the most fascinating facets of industrial operations management.
“What if we quantified all of the energy used to create an item?”
In order to create a product, energy is required whether it be in the manufacturing process or in transportation logistics. One commonly used way to quantify this is through Life-cycle assessment. But what if we simply want to obtain a direct measurement of all of the energy used in a product? Well, this would simply entail summing up each part to create what engineers call the total embodied energy!
Cradle to Gate Life-Cycle Assessments
“How can we analyze the portion of the lifecycle of a product?”
Life-cycle assessments are done on projects to determine their total impact upon the environment. However, sometimes we may only want to know the impact of a portion of their life, specifically from resource extraction up until it leaves the factory. One way to accomplish this is to use something known as a cradle to gate life-cycle assessment. This process is very useful for manufacturers to determine what their contribution to climate change is.