We were hired to create a web application that would turn ColiMinder’s hardware into a market-ready product and help the support team to maintain the system.
big batches of raw data – the system collects data on more than 40 water-specific parameters and each has its own variations. Altogether, it creates a vast data layer that updates every 10 seconds;
complex telemetry system – ColiMinder also has a telemetry system, the information from which has been provided by the middleware in a form of machine codes that only the client's R&D team could understand.
The client’s hardware had 5 different work phases but the interface maintained only one, so we added 4 more work phases with background processing of raw data. We also added statistics about the overall system performance. Moreover, our specialists designed a device management area for easy modifying of microbial samples every connected device collects. Thus, our client got the solution that collects and processes live data from up to 100 devices.
The algorithm of interactions between all of the architecture components allows collecting and operating live data and providing users with necessary crucial information in real-time.
Some of the devices are located in remote, hardly accessible areas — for example, Great Lakes in Canada or closed industrial facilities. The web app serves as a remote interface and robust back-end processes metrics from a centralized database into comprehensive analytics.
So the system supplies users with water data they need:
Comprehensive analytics – the app analyzes more than 40 parameters and measurements for each ColiMinder’s work phase.
Real-time data visualization – all charts are created in live mode, which allows users to monitor water conditions and make informed decisions in real-time.
Pre-set filters – we’ve created 10 pre-set data filters that speed up onboarding of new customers. Although ColiMinder users can build their own view filters if needed.
As a result, the massive part of all the processes was automated, and the amount of manual work was so significantly decreased that it made our client consider launching this IoT solution to the market which they successfully did.
285K number of measurement released with the ColiMinder system.