Not satisfied by not finishing my first project, I boldly go where I have gone before. This time I approach my other hobby of fish keeping with all the unbridled enthusiasm of the wandering electronics geek. I’m going to build a fish tank monitor!
This was all started by building a small tropical fish tank for my in-laws. This will be sited away from where I live, and rather than the hard landscaped gravel aquarium with plastic plants which it started as, I have suggested a more living aquarium with shrimp, snails, few fish and easy plants such as ‘Cuba’ and lilies. In addition a much more capable external Eheim canister filter will scrub the water well, and I am recommending little if no water changes as that works very well for my 120l fish tank.
But all this will happen a long distance away from here and I want to know how things are going remotely – hence the felt need for a monitoring station. While there are ones like the Seneye they do need a replaceable slide every month, and others like the Mindstream or Apex are truly expensive – plus they are built to control dosing or other schedules like lighting. I can do all of that using a cheap timer, and don’t need the expensive gear for what needs to be a simple tank.
Ideally I’d like to hook up a couple of sensors to a single-board computer such as an Odroid or Raspberry Pi, and connect to the local WiFi to transmit readings through to somewhere else – none of that worries me at all and using things like MQTT make it all very simple. Apparently for the Seneye you don’t even need the branded web server as you can use another server to do it – see here. But the sensors are the right pain as I’ll explain below. I’d like to be able to read:
- temperature probe – these are simple
- pH probe – much more complex and needs both calibration, and removing from the water due to fouling. I could use something like this to read the probe
- NH3 as this affects the fish badly
- light levels – likely simple as well
- water levels – no water = bad! Conduction strip or
- … anything else I dream up.
I don’t need a display nor a GUI front-end as I am happiest when treating my SBCs as remote and headless – I find it tunes the mind to not trying everything and understanding how to recover remotely without a keyboard.
I am learning a whole lot more about the constrained environment of the microprocessor. For a start, you don’t have a Linux command line! And, perhaps more insidious, you do not have much memory.
Platforms such as Arduino or Pyboard have very restricted memory spaces, and in essence you ‘sit’ within the Python interpreter and run commands there. Actually it is not fully like this, some implement a REPL or some implement a server that takes FTP or Telnet commands, but it is very different from working even in a small single-board computer such as a Raspberry Pi or Odroid which have full Linux, command line shells such as Bash, and even desktops/browsers.
What happened was that I was getting along well with my project displaying weather patterns on the e-ink device and started retrieving more and more details on the controller, however after a short few iterations got memory errors. Thinking this just to be a problem of garbage collection, I called that method and got better iterations – but still eventually crashed out. It seems that the Json parsers and whatnot are leaking memory and no amount of garbage collection will help – and the direct calls to URLs for the weather services surely isn’t helping!
I’ve now split the code into two components: a server component most likely running under NodeRED on one of my SBCs, and the display component which will simply take the weather readings from the server and display them, concentrating on what it does best.
I may also get advantages by using this method as it can run on smaller embedded devices such as the ESP8266 which do low-power much better than the fuller devices such as the WiPy2. Who knows, maybe months of displays without resorting to replacing the batteries?
I started musing about the complexity of modern computer systems after talking with a colleague about recent computer crashes. Those not familiar with modern computer systems expect them to work better than they do and seem to take delight in handing out blame where none lies. Having worked for decades in computers both large and small I am astounded by a couple of things: that complex computer systems actually work pretty well, and that they don’t crash more.
Humans seem to naturally enjoy reducing things to black and white, or two or three choices. Listen to the evolutionary biologists and they’d claim all sorts of things to prove this, such as living in caves and having only a few foods to eat or whatnot. I don’t entirely believe them either – they sound too much like looking for the hypothesis in the evidence, rather than the other way around.
In my professional life I have been through perhaps 3 or 4 major incidents where massive numbers of people could have been impacted and each time a very focused and dedicated technical team have averted disaster. These things are not easy and take real hard work. I’d rather rely on people who have experienced real complex issues than those armchair generals that never saw a battle.
Case in point: you’d perhaps expect that major companies know exactly what systems they have installed, how many applications run on them and where they are? You’d be wrong, as time and time again I hear stories or know by personal experience that they do not know entirely where things are. This varies from the incidental (we didn’t know that we were running that much software) through to the monumental: a major corporation thinking it had about 8,000 systems and finding that they had … 14,000. That is quite a difference from what they expected.
Putting aside our human tendency to over-simplify, what happens as systems get even more complex? Can we get computers to manage other computers, can we adopt methods and architectures which are much more emergent rather than the procedural and directive that we currently use? What happens when the system becomes more than the sum of its parts and can’t be governed except by itself?
Interesting discussion on a internet forum about job redundancies and how heartless large corporations are in dealing with employees. It does make me wonder who is wrong here: the expectation of employees that they will have a ‘job for life’, or that capitalism rides on the tides of the market and a fundamental aspect of that, is that supply answers demand. Redundancies are built into the system.
Of course there are reams of tomes written to describe the good and bad of economics, and I don’t think command-and-control economies are any better, nor those built on class systems or corruption. Drug- or oil-economies aren’t much better (unless you are Norway and put it into a long-term state fund) and I don’t admire those economies which allow some members to have wealth because of their family connections. No, I am not a monarchist.
What I do admire is a level playing field where all are given the same start to life, the same opportunities, and the same incentives to develop their full potential. Offering to let them become part of the ruling elite, for example, is a straw-man argument: privileging the few at the expense of the many simply extends the injustice into the next generation.
Egalitarianism has benefits, both for those at the top of society and for those at the bottom. My belief is that societal expectations have to change into a more fluid model that sees expert plumbers at the same level as philosophers (or bankers, lawyers, doctors) and rewards effort and dedication rather than connection and background. Organisational models need to change as well so that companies no longer have the protection of ‘personhood’ under the law, and plain old hierarchical organisations adopt to a more fluid view of entering and leaving that organisation.
I’m reading “Reinventing Organisations” by Frederic Laloux and taking an interest in the concepts of Holacracy – although I’d have to admit that a lot of things get hyped as the new silver bullet and touted around the management training circles simply as a way of earning money for those management consultants. I’d wait for a couple of centuries of real-world testing before suggesting that any of these are more than just fads.
I’ve recently been trying to get the Plex media centre running on an ARM machine. I had previously experimented with Kodi as a media server, and while I could get it running and serving from a variety of devices including a Raspberry Pi 2 machine as the playback, making it all work for my family seemed too much Heath Robinson-esque with computers stuck to the walls of my daughter’s bedroom and long lectures on complex controls.
It may be helpful at this point to understand some of the main differences between the two software alternatives for home theatre PCs: Kodi and Plex. While there are others, these are the common choice. While they had a similar beginning and may share some code they do operate in different ways: Kodi is a client, while Plex runs on a server. With both the actual recordings can be held anywhere, and neither will record TV without extra plugins.
A table taken from HTPCBeginner.com may help:
|Database of movie information
||On the client
||On the server
||An app or application running on your client device – computer, phone
|Transcoding – playing the recording onto your viewing device
||Handled by client
||Needs a beefy server
|What client hardware can be used
||Lots and lots
||Very flexible, and necessary!
||Free and subscription models
So the choice comes down to the open-source, configurable Kodi or the simple to install and standardised Plex. More than their development models I appreciate the difference in their approach: one works out of the box, the other takes some configuring but is very flexible.
Having got Plex running under Exagear on my Odroid quad-core C2 server, I then ran into the problem of the CPU power required to do ‘transcoding’. Transcoding is essentially converting the recorded film into a format that can be displayed on the client device whether a mobile phone, web browser, or TV. The formats in which films are recorded is a whole subject in itself and changing them from one format to another is a difficult process. My little single-board computer could not cope.
Even the old Intel Atom system I used to run could not cope – apparently I need something called a passmark of over 2000 and although my quad-core server could perhaps do the work, the Plex software sometimes decided that it couldn’t. So I’ve started looking for a low-powered, small and silent system with enough processing power that it can happily transcode all my movies. Apparently some NAS (Network-Attached Storage) boxes can do it, however the price point of those is a significant purchase and not something I want to spend on entertainment. I’ve looked at AliExpress and there are some very good i5 mini-PCs available and I may go that route.
I’m interested in converting my house sensor network into one running on LoRa.
The background to this is the sad demise of the Nottingham company WirelessThings from whom I had purchased a number of house sensors. These were small devices transmitting over 868MHz with a variety of ‘personalities’ including temperature, flood, magnetic, on/off, light and so on. I had them scattered around the home, including a water detector on my back fence where the seasonal flooding from the local river first enters my property.
The head end was a simple USB stick plugged into one of my SBCs running NodeRED. This collected incoming radio signals using a text protocol called ‘LLAP’ and converted them to MQTT, sending them on to a variety of end points such as alerting my mobile phone when floods were coming in. As the devices went into a configurable sleep mode, the button batteries lasted years without replacement. I even had a separate NodeRED flow that handled battery level to alert to replace batteries. They were useful in a number of ways:
- knowledge of battery state
- ability to ‘talk back’ to a sensor
- transmission over relatively large distances
- simple, configurable and multiple sensors using a small form factor enclosure
- different sensors encoded values into a similar-length text string (12 bytes)
All that has finished with the closing of that company, so I have been toying with using a LoRa gateway from someone like Pycom, or purchasing a full LoRa gateway and connecting this to The Things Network and thence back to my servers. Cost is playing a significant part as I can’t really afford three- or four-figure sums for my electronics hobby. The Pycom LoPy running MicroPython looks like a good alternative (even if it cannot act as a true LoRa gateway due to lack of multiple channels) so I may wait for that to stabilise and then work from there.
I think we are going to hear an oft-repeated phrase in the next five years. That phrase will be “because we left the EU…”. I’ve just encountered it at a soft-furnishings store where the price increase on Egyptian towels was explained by the salesman who said “because we’ve left the EU the prices of cotton have risen, so we had to put up the price of towels”.
- But the UK hasn’t yet left the EU,
- suppliers in Europe cannot charge the UK different prices than other EU countries before the UK leaves the Common Market,
- … and Egypt, from where the ‘Egyptian cotton towels’ come from was never part of the EU anyway.
What’s going on here? It can’t be only the exchange rate as cotton and other commodities are purchased on a futures market so as to avoid vagaries in price.
I’ve a feeling that this will be just the start of this saga. Retailers by their very nature often have very thin margins and are at the mercy of the whole supply chain. Disintermediation in the form of eBay or Amazon who sell direct to the consumer have cut their revenues, and the Common Market meant that I could by parts for my aquarium filters at one-third to a half of local UK prices. And that is while we were in the EU! With the upheaval in politics represented by the EU vote a whole lot of things will now be blamed on this rather than the more prosaic explanation that sellers make profit whenever they can.