We are part of our customer’s team who provides a solution to concrete producers for measuring and adjusting the slump and monitor the water content of concrete as it travels from the plant to the job site. A lot of events and telemetries must be processed. IoT, Big Data, Analytics and Machine Learning are some of the core technologies that are involved in this solution.
Sophisticated internet-connected sensors can provide concrete producers with real-time monitoring data across their entire fleet of trucks. This data is accessible on phones, tablets, laptops, and desktops—anywhere there’s an internet connection. This means that wherever you are, you’ll know that your concrete is arriving ready to pour at the right slump and water content.
Through IoT, Big Data, analytics and machine learning, the solution is capable for collecting, storing, processing, and analyzing a huge and heterogeneous amount of data.
By delivering a more consistent product at a higher level of quality, ready-mix producers can realize significant business improvements including:
· Fewer loads rejected on site
· More loads delivered successfully per day
· Less admixtures used
· Turn trucks around faster
· Reduced disposal of unused concrete
· Fewer jobs needing to be re-done
· Less cement used
· Apache Kafka
· Java, Kotlin, Python
· Junit, Mockito, Jmeter
· React
· ECS / Docker / Terraform
· Hasura
· TimescaleDB