Our grafana plugins
factoryinsight is an open source REST API written in Golang to fetch manufacturing data from a timescaleDB database and calculate various manufacturing KPIs before delivering it to a user visualization, e.g. [Grafana] or [PowerBI].
- OEE (Overall Equipment Effectiveness), including various options to investigate OEE losses (e.g. analysis over time, microstop analytics, changeover deep-dives, etc.)
- Various options to investigate OEE losses further, for example stop analysis over time, microstop analytics, paretos, changeover deep-dives or stop histograms
- Scalable, microservice oriented approach for Plug-and-Play usage in Kubernetes or behind load balancers (including health checks and monitoring)
- Compatible with important automation standards, e.g. Weihenstephaner Standards 09.01 (for filling), Omron PackML (for packaging/filling), EUROMAP 84.1 (for plastic), OPC 30060 (for tobacco machines) and VDMA 40502 (for CNC machines)
The openapi documentation can be found here
the tool to store incoming MQTT messages to the postgres / timescaleDB database
Technical information and usage can be found in the documentation for mqtt-to-postgresql
Proxies request from grafana to various backend services, while authenticating the grafana user. Technical information and usage can be found in the documentation for grafana-proxy
Contains our grafana datasource plugin and our input panel
This tool automatically finds connected ifm gateways (e.g. the AL1350 or AL1352), extracts all relevant data and pushes the data to a MQTT broker. Technical information and usage can be found in the documentation for sensorconnect
This tool automatically identifies connected cameras network-wide which support the GenICam standard and makes them utilizable. Each camera requires its own container. The camera acquisition can be triggered via MQTT. The resulting image data gets pushed to the MQTT broker. Technical information and usage can be found in the documentation for cameraconnect
This tool automatically detected connected USB barcode scanners and send the data to a MQTT broker. Technical information and usage can be found in the documentation for barcodereader
This tool acts as an MQTT bridge to handle bad internet connections. Messages are stored in a persistent queue on disk. This allows using the
united-manufacturing-hub in remote environments with bad internet connections. It will even survive restarts (e.g. internet failure and then 1h later power failure). We developed it as we’ve tested multiple MQTT brokers and their bridge functionalities (date of testing: 2021-03-15) and could not find a proper solution:
- emqx causes for internet blackouts longer than 3-4 min a DoS attack on our server (messages are send in endless loop, see https://github.com/emqx/emqx-bridge-mqtt/issues/81)
- VerneMQ only stored 10-20% of the data
- mosquitto was working very unreliable
This is the documentation for the container barcodereader.
This docker container automatically detects cameras in the network and makes them accessible via MQTT. The MQTT output is specified in the MQTT documentation
This site describes all environment variables used to setup and customize the united manufacturing hub.
Documentation of factoryinput
This document describes the usage of factoryinsight including environment variables and the REST API
Documentation of grafana-proxy
This microservice is a bridge between two Kafka brokers.
This microservice saves images from kafka to blob storage.
This microservices consumes messages from a Kafka topic and writes them to a PostgreSQL database.
This tool acts as an MQTT bridge to handle bad internet connections.
This docker container transfers messages from mqtt to kafka and vise versa
The following guide describes how to catch data from the MQTT-Broker and push them to the MIN.io blob storage
Documentation of mqtt-to-postgresql