Paul Westaway wanted to make sure his woodstove didn't exceed the upper limit of temperature and overheat, thus damaging the stove or causing a fire. He wanted a monitor that could send out an alert if the stove got too hot. He was surprised he couldn't find a monitor available commercially. So, like any enterprising Gadget Freak, he decided to make one of his own. Using a handful of inexpensive components, Westaway created his own Woodstove Digital Temperature Monitor.
I'm not an engineer but I can basically follow a schematic. I very much want to build the wood stove temperature monitor/alarm Paul Westaway designed but need a little more help than case 183 provides.
The parts list is incomplete: it provides Alleid part numbers for some items but leaves out enough of a description of the others that I cannot figure out what to buy. The "digital controller" for example, is too generic - I need enough to go on so I can find a supplier for it.
If anyone knows how to contact Mr. Westaway I would very much appreciate it. It would be a blast for me to build something like this myself and it would be a great comfort knowing I can get a warning if my wood stove gets too hot.
According to a study by the National Institute of Standards and Technology, one of the factors in the collapse of the original World Trade Center towers on Sept. 11, 2001, was the reduction in the yield strength of the steel reinforcement as a result of the high temperatures of the fire and the loss of thermal insulation.
If you have a Gadget Freak project, we have a reader who wants to make it. And not only will you get your 15 minutes of fame on our website and social media channels, you will also receive $500 and be automatically entered into the 2015 Gadget Freak of the Year contest.
Robots are getting more agile and automation systems are becoming more complex. Yet the most impressive development in robotics and automation is increased intelligence. Machines in automation are increasingly able to analyze huge amounts of data. They are often able to see, speak, even imitate patterns of human thinking. Researchers at European Automation
call this deep learning.
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