Right to Repair

1889 readers

16 users here now

Whether it be electronics, automobiles or medical equipment, the manufacturers should not be able to horde “oem” parts, render your stuff useless if you repair it with aftermarket parts, or hide schematics of their products.

I Fix It Repair Manifesto

Summary article from I Fix It

Summary video by Marques Brownlee

Great channel covering and advocating right to repair, Lewis Rossman

founded 2 years ago

MODERATORS

Engineer@discuss.tchncs.de

172

I won't connect my dishwasher to your stupid cloud | Jeff Geerling (www.jeffgeerling.com)

submitted 2 days ago by otters_raft@lemmy.ca to c/right2repair@discuss.tchncs.de

21 comments fedilink hide all child comments

Software developer and open source proponent Jeff Geerling recently purchased a new Bosch 500 dishwasher, only to find it required an app to access certain features. This is his story.

you are viewing a single comment's thread
view the rest of the comments

[–] BluescreenOfDeath@lemmy.world 2 points 1 day ago (1 children)

TL;DR, it's not nearly as granular as you suggest:

https://ars.els-cdn.com/content/image/1-s2.0-S2352467719300748-fx1_lrg.jpg

They can generally characterize the probability that the load is for certain things, but they can't say that your power consumption is because you're using a vacuum cleaner and 7 LED bulbs. They estimate the percentage of your overall consumption that is used by certain things. It's not the same as feeding a LLM a few cat pictures and getting it to identify a cat.

[–] FauxLiving@lemmy.world 1 points 1 day ago* (last edited 1 day ago)

That paper is specifically about low frequency data (under 1 hz) so it does not include fast transient events. Because of that, the amount of information that you can learn is limited.

High frequency sampling can capture fast transients, startup transients and information about the circuit harmonics. This provides a lot more data points to extrapolate from. Modern smart meters are available with high frequency (several kilohertz) measurements, they may not be deployed in your utility section, but they are used.

There is more to NILM (https://en.m.wikipedia.org/wiki/Nonintrusive_load_monitoring) than that one paper.

From the wiki:

NILM can detect what types of appliances people have and their behavioral patterns. Patterns of energy use may indicate behavior patterns, such as routine times that nobody is at home, or embarrassing or illegal behavior of residents. It could, for example, reveal when the occupants of a house are using the shower, or when individual lights are turned on and off.

If the NILM is running remotely at a utility or by a third party, the homeowner may not know that their behavior is being monitored and recorded.

A stand-alone in-home system, under the control of the user, can provide feedback about energy use, without revealing information to others. Drawing links between their behavior and energy consumption may help reduce energy consumption, improve efficiency, flatten peak loads, save money, or balance appliance use with green energy availability. However the use of a stand-alone system does not protect one from remote monitoring.

The accuracy and capability of this technology is still developing and is not 100% reliable in near-real-time, such that complete information is accumulated and analyzed over periods ranging from minutes to hours.