In this blog post, I will share how to obtain a view on the net electricity use and generation of my and your house. We’ll use modbus RTU and TCP to get our data, store it in InfluxDB, query it with InfluxQL and Flux and visualize it with Grafana. The end result looks a bit like this:

Curious? Read on!

The premise

Our house is designed according to the passive house standard, which means it’s designed and oriented in such a way that it requires less than 15kWh/m2/year for heating and cooling. …

When buying a data historian, expected ROI comes in the form of improved operations, higher efficiency and reduced downtime. But what if the historian paid for itself, and then — surprise! — generated a number of cascading benefits? In this new blog series, we will explore the unexpected benefits of the data historian. First in line: monitoring and lowering energy use.

Using a historian for energy monitoring

The main reason why businesses start with a process historian is not because they need an energy monitoring solution. It’s because they need instant, actionable insights into their production processes. Therefore, process data is gathered and stored in a…

In this blogpost, our front-end developer Lumi De Smedt shares her views on UX/UI in today’s industrial environment and lifts the veil on how UX/UI principles are applied to Factry’s software development process.

Users should be able to switch half of their brains off and still work with the software.

As a front-end developer and UX expert, I mostly work on client-specific MES applications. Before customers decided to implement our software, they had often been limited to paper or had to rely on outdated systems. …

In 2018, Belgian yeast supplier Algist Bruggeman replaced its proprietary historian software with Factry’s open source-based historian. Next, a custom reporting tool and MES were built on top of the historian, once again with open technology at the core. We asked decision-maker Ivo Lemmens why he chose to switch from proprietary to open source software for industrial data integration.

“I discovered the world of open source software just a few years ago,” says Ivo Lemmens, the driving force behind the company’s ongoing process automation. “Right then, I started to realise that businesses should look beyond their own little private islands…

Industry 4.0 starts with time series data collected from various sensors from production equipment. What is stored is always a combination of a timestamp, sensor value and potentially metadata such as the equipment where the data originated.

However, when reading values, time is not necessarily the best dimension to obtain insights from the collected data. In particular, we have encountered a couple of use cases where we’d prefer to look at the data from a length perspective instead of time.

So in this blog post, we’ll describe why we decided to write and release the Untimely Grafana panel for displaying…

This tutorial is about candy! And Flux!

An advanced use case for the new Flux query language

Process historians are used to gather high-resolution sensor data from industrial controllers like PLCs and SCADA systems. Once the data is collected, it is available for further processing and query building. This blog post describes the use of Flux, a new language for querying InfluxDB, the time series database behind Factry Historian.

It is recommended for advanced readers with profound technical knowledge.

Ever since it was first announced in June 2018, we have been eagerly following the development of the Flux query language. …

Analog pressure gauge.

We have been using InfluxDB in an industrial setting since 2016. This started with the development of an open-source OPC-UA collector, which is used across the globe. The OPC-UA protocol is important in the industrial setting since it can be used to gather sensor data, a form of time series data. Sensor data is collected from manufacturing equipment via programmable logic controllers (PLCs) and the supervisory control and data acquisition (SCADA) systems and then stored into InfluxDB. The sensor data includes measurements collected from equipment that help to ensure that the manufacturing process is running effectively.

Once in InfluxDB, the…

Ever since the term Industry 4.0 was coined in 2011, it has taken the world of manufacturing by storm. Business and market drivers like production reshoring converge with technological advances such as ever cheaper sensors. Even though lots of attention is going to the technologies that enable Industry 4.0, the importance of employee involvement in general and operator involvement in particular is greatly underappreciated.

As a consequence, operations managers are at risk of outpacing the adaptive capacity of their operators, resulting in a state-of-the-art manufacturing apparatus with uninvolved and unmotivated operators to run it. Additionally, long-term absenteeism numbers rise year…

Frederik Van Leeckwyck

Co-Founder at

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