IoT devices as a whole work on the basis of sending their payload to an end point (often an MQTT broker). This data is then read in by an MQTT client and processed. For the client reading data into the pipeline its a lot like listening to a radio station, tweeking the dial to capture a channel and listen. You may get the signal but have no control over the quality, regularity or suitability of that data for your purpose.
Data integrity and fitness for purpose is managed by the programmer who developed the connector.
Cypernex by comparison owns the device, its sensors, the data topics sent by the sensor, the device, firmware, sensor calibration, the installer, developer, device location and service history and more.
Data integrity and fitness for purpose is managed by the platform.
As your IoT ecosystem matures, the emphasis shifts from collecting more raw data to combining all forms of information to produce new knowledge that is of value to the businesses current interests.
IoT project emphasis shifts from measure and verify (incoming data) to a search for new knowledge and then to command and control.
Your data pipelines evolve into data super highways assembling, categorizing, normalizing and re-purposing data from across the entire organization.
Cypernex embedded status engine, metric engines and other functions faciliate interperability between these digital systems by standardizing and aligning the terminology used to describe data to the industry and use cases used across the platform.
One obstacle often encounted with IoT projects is the translating of traditional IoT terminology like “thing” or “hub” to have resonance with your teams who may know these as a PLC, water pump, sump valve or main breaker box.
The void gets wider when you factor in perceived importance of a measurement. For example 120 degrees might be ok for around a furnace, but 23 degrees will cause food to spoil in cold storage.
Cypernet manages terminology and data point industry interpretation and conversion. Data interoperability and naming conventions are managed by the platform making sure our assumptions and calculations mean what we think they mean.