adesso BLOG

In the world of Industry 4.0, efficient and reliable data is the be-all and end-all. But what do you do when standard solutions are not enough? Then you need a customised solution. In my blog post, you can find out how a new OPC UA client with DuckDB integration was created and what impressive benefits it offers in production.

The efficiency of order fulfilment is a key success factor in the modern business world, especially in the manufacturing industry. Automating these processes end-to-end can be a huge challenge. In this blog post, I introduce the end-to-end automation of order processing using the example of an orchestra and present a successful solution approach.

In the manufacturing industry, there is often talk of digital transformation. This is intended to pave the way for Industry 4.0. The opportunities and potential benefits of digitalisation are well known. The question is: why is it still only making slow progress? I get to the bottom of this question in my blog post.

If you want to develop viable, successful solutions over the long term and also be able to evaluate and channel the potential of the Internet of Things, IoT needs to be strategically anchored at your organisation. This is where the IoT factory comes in handy. I will explain what that is in my blog post.

An anomaly is a data point or pattern in a time series that differs from the data you would typically expect to receive. Anomaly detection deals with the task of identifying these irregularities. In this blog post, we will be presenting approaches used to analyse time series data and detect anomalies. Along with that, you will also find out how to successfully integrate the algorithms into a smart product platform.

Many established SMEs in the manufacturing industry in Germany struggle with the challenge of using heterogeneous machinery: they operate machines made by different manufacturers, some of which are newer than others, and some of which are used more than others – all depending on their company’s individual history. If we are talking exclusively about digitalising and standardising these types of manufacturing environments in the sense of modern Industry 4.0 applications, then there is one question in the industry that is more pressing than any other: is a conversion or retrofit worthwhile at all?

Employing predictive maintenance can effectively solve the industrial production nightmare caused by idle machines and expensive service calls and technician call-outs. In this blog post, I will explain how predictive maintenance can be used to reduce machine downtime and the amount of money spent on service calls.

While the first part of this blog series dealt with the technology of narrowband-IoT and in the second part I went into the specifics of communication based on MQTT-SN via NB-IoT, the third and final part of the series will focus on the aspect of security, which is critical for the Internet of Things.

While the first part of my blog series focused on the technology of NB-IoT, the second part will discuss the technical aspects of using it, as the advantages of transmitting data using narrowband IoT are quickly squandered if it is used incorrectly.