How Brimit built an end-to-end IoT platform for a mattress recycling company — automatic weight capture, one-tap operator tablets, and live management reporting.
The mattress recycling company operates a recycling line in the Netherlands. Inbound trucks deliver end-of-life mattresses; the line separates them into foam, springs and textile, baled and shipped onward.
Before: weights were read off scale displays and transcribed by hand — paper weegbonnen, manual Excel, no live picture of throughput or material mix.
A truck drives onto the weighbridge. The DD700 weight terminal is read over Modbus RTU by a Golang service via an interface converter; every reading is published to MQTT within the plant network. No manual transcription, no retyping.
Mattresses are staged for disassembly — and every truckload already has a net weight on record.
Each mattress is separated into its material streams — foam, springs, textile and more. The physical heart of the plant.
Material streams are pressed into bales — and every bale that leaves the press is about to become a data point.
The bale scale's terminal streams weight data over a legacy protocol; Brimit implemented the adapter that normalises it into clean JSON readings.
Outbound loads are weighed out the same way, net weights paired automatically. Every kilogram in and out of the plant is now accounted for digitally.
Each weighing you watched travelled this path in under a second.
The same path every reading takes — from a terminal on the plant floor to a row in the analytics database.
Modbus RTU readings from scales published to MQTT.
Every reading structured and injected into Unified Namespace — hardware-agnostic.
Domain events over Service Bus. No polling. Microservice architecture.
Operations mirrored for dashboards and reporting.
The single gateway to operational data — materials, suppliers, scales, operations — with change detection that pushes master-data updates to the tablets within a minute.
Turns configured scale readings into ingress and process operations automatically.
Every raw reading retained for history and diagnostics.
Mirrors operations into the analytics database — event-driven, with a reconciliation sweep and soft deletes.
Docker containers running at the on-site server in the plant's server room, maintained remotely by Brimit over secured access.
"For the first time we can see our tonnage and material mix as it happens, not weeks later in a spreadsheet. The dashboard is the first thing I open in the morning. The system took the paperwork out of weighing — operators tap a button, the data's saved, and we trust it. No more chasing missing slips at the end of the day."