Building a “Complexity Management Device”


ArduinoMega2560_R3_FronteArduino is an open-source electronics platform based on easy-to-use hardware and software. It’s intended for anyone making interactive projects, see TED video. Arduino boards (see list here) come in numerous types and may be connected to a wide variety of inputs (sensors, devices) and outputs (actuators, devices, computers). For example, the Arduino Fio boardis intended for WiFi applications – see scheme below – which means that it can connect to the Ontonix Web Services (OWS).

ScreenHunter_523 Feb. 15 17.06


At Ontonix we would like to explore the possibility of constructing Arduino-based QCM (Quantitative Complexity Management) devices, in order to develop prototype real-time hardware solutions for complexity management. The range of applications is very wide. In fact, Arduino boards can be connected to any kind of sensors or combination thereof:

  • temperature
  • acceleration
  • pressure
  • strain gauges
  • medical devices/sensors (heart rate, arterial pressure, O2/CO2, etc.)
  • luminosity
  • acoustic sensors
  • chemical sensors
  • electrical
  • environment
  • flow, velocity
  • proximity
  • optical
  • cameras, webcams
  • etc.

Once sensor data is sampled and arranged into an array, it can be processed by OntoNetâ„¢, our QCM engine running on a PC or accessible via the OWS (Ontonix Web Service). The result can be transmitted back to the Arduino board which, in turn, may drive a set of actuators. The applications can be, for example, the following:

  • complexity monitoring (networks, processes, assembly lines, etc.)
  • low resilience early-warnings
  • identification of criticalities (plants, networks, etc.)
  • portable monitoring of patients in emergency situations.
  • etc.

The possibilities are endless.

If you have an original idea on how QCM technology and Arduino boards can be blended to produce a new device or capability, let us know at



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