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What techies keep getting wrong about industrial automation

37 点作者 wolframhempel大约 1 年前

4 条评论

nyrikki大约 1 年前
&gt; So, while various companies have set out to automate the giant dump trucks, having a continuous chain of smaller, self-driving trucks using standard parts and without the need for a driver cabin would be much more efficient<p>So, to anyone with dirt experience, hivekit just called themselves out as being the techies that don&#x27;t get it.<p>On-road trucks are fragile and require highly attentive drivers to run without destroying the trucks off-road.<p>Everything breaks in the dirt, and almost all mining operations need very nuanced knowledge to conduct safely, for people or machines.<p>&gt; Areas, where traffic is highly structured and controlled.<p>That isn&#x27;t mining or the oil patch.<p>You are dealing with mud, dropped rocks that will take out brake chambers, continually changing conditions etc...<p>The Moravec Paradox hits all these attempts, because people without domain knowledge under estimate the skills required.<p>While minimizing operator count is useful, this isn&#x27;t Minecraft. It takes a lot of skill and being adaptive changing conditions to even different with an excavator.<p>Some mines with consistent material properties and safe conditions do automate digging up a stope, but most mining requires expertise and informed judgement.<p>Even in the oilfield, drilling is a high skilled job, were you have to adopt to changing conditions to avoid breaking the drill stem, which is expensive to fish and fix.<p>Even robots in warehouses are a challenge and that is far closer to the authors claimed conditions.
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typhonic大约 1 年前
Twenty years is a mighty short time period for expecting a huge paradigm shift in industry. In 1973 I was touring industrial plants and got to see an automated retrieval and delivery system operating in a plant warehouse. (It might have been the Copolymer plant in Baton Rouge - hard to remember.) So even 50 years may be a bit too short.<p>Looking back a few hundred years it is easy to see that we have made progress. In the mining industry, for example, the need for large haul trucks is reduced by long conveyors. The longest I have seen is two miles. Those conveyors are barely attended to by operators and their operation is monitored by control systems connected wirelessly and reliably.<p>The real leap will come, not from increased automated operation, but from automated maintenance. That won&#x27;t happen until well after IOT is more fully implemented. By that, I don&#x27;t mean more devices connected to the Internet. In my opinion, IOT&#x27;s potential lies in the future of the &quot;Things&quot; making decisions based on information from the connected devices.
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random3大约 1 年前
I&#x27;m not following this line of reasoning<p>&gt;. It can transport a payload of 363 tons and costs around five million - which comes out to around 14k per ton of payload.<p>Did the unnamed author divide the price of the truck to the weight of a single load? If so, ignoring that it&#x27;s not specifying a distance and hence the 1:2 cost ratio may be highly inaccurate, why? Is that some industry standard? It would be weird not taking into account amoritization cost&#x2F;period too.<p>Finally, in conclusion, what do &quot;techies&quot; get wrong?
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c_o_n_v_e_x大约 1 年前
&gt;What techies keep getting wrong about industrial automation<p>1. Internet connections can be some combination of slow, unreliable, intermittent, or expensive. They also may be completely unavailable, although this is changing in the era of Starlink.<p>2a. Consumer grade compute hardware dies a quick death in harsh environments.<p>2b. Consumer grade compute hardware typically has more compute power than industrial rated computers. I&#x27;ve seen a handful software engineering teams have to drastically rebuild software because compute resource constraints were not realized until it was time to deploy software at the edge.<p>3. You are not allowed to push updates to your software willy nilly.<p>4. Service tech callout and installation costs are a big consideration for remote assets (oil wells, pipeline compressor stations, etc.), particularly at scale.