Amazon announces availability of AWS IoT SiteWise: Amazon has announced AWS IoT SiteWise, its managed monitoring service for industrial customers, is now generally available two years after its unveiling at AWS re:Invent 2018. Manufacturers, energy utilities, and food processors often struggle to collect, process, and analyze data from their hundreds to thousands of internet of things (IoT) sensors. Extracting data across different locations is time-consuming and expensive, because this data is typically stored in local, specialized servers that lack a common data format. Even with a data-collection pipeline in place, information like equipment type, facility location, and relationships with other equipment must be annotated manually; customers have to write custom apps to calculate and compare performance metrics across facilities to derive insights.
IoT is the future: For financial entrepreneur Carsten Maschmeyer, the Internet of Things is the future. Technology will not only help to better manage and optimize value chains, but above all the Internet of Things will fundamentally change the industrial infrastructure. IoT will make completely new business models possible, especially in German mechanical engineering.
Industrial Internet of Things is trendy: In order to better monitor plants from a distance and prevent unplanned downtime, many industrial companies have turned to the Industrial Internet of Things, especially since the pandemic broke out. Investments are made in customer-specific systems and systems from third-party providers in order to achieve an increase in production on the one hand, to measure the overall efficiency of the systems, and on the other hand to avoid machine downtimes and to be able to control the systems remotely.
IIoT sensor revolutionizes IBC level monitoring: The new Micropilot FWR30 level sensor from Endress + Hauser ensures cost-effective digitization of mobile or stationary level measuring points. With the help of the sensor IIoT-Radar a contactless inventory monitoring of liquids in Intermediate Bulk Containers (IBC) can be carried out.
Twilio acquires IoT platform Electric Imp: it-times.de
17th impulse for startup competition: The winners of the competition industry-of-things.de
Key technologies: motor of the German electronics company innovations-report.de
5G: Vodafone wants to upgrade up to 51 transmitters in Bavarian localities to 5G merkur.de
Smart TVs: German Federal Cartel Office warns of little data protection datenschutz-praxis.de
NUMBER OF THE WEEK
87 percent of people surveyed think that company results can be improved through optimized data processing.
Why is edge computing so important for 5G? Edge computing is decentrally organized data processing. Data is generated and processed there directly in the network periphery. There are three types of edges: Legacy Edge, Geographic Edge and Dynamic Edge. The Legdacy Edge is local data processing, which takes place directly at the location. So-called content delivery networks and cloud services can be classified in the Geographic Edge. The Dynamic Edge describes devices in the Internet of Things, but also the individual sensors of a smart city or wearables such as smartwatches. These are usually connected to the internet on a mobile basis and are therefore dependent on corresponding data connections. They therefore benefit the most from the current expansion of the 5G network. Without edge computing, IoT would no longer be possible in am industry setting. Computing power is most needed at the edge of the network – which is why companies are currently investing heavily in the provision of computing capacity at the so-called edge. The network edge also becomes a kind of computing center.
Automation of self-adaptive systems: At its software engineering institute paluno, the University of Duisburg-Essen has achieved new artificial intelligence (AI) processes that automate the development process of self-adaptive systems. An essential task in the development of self-adaptive software is to specify when and how an adaptation should take place. However, this is difficult to estimate because, at the time of development, the engineers are usually unable to foresee all possible environmental situations. The paluno researchers solved this challenge with online reinforcement learning – an AI process. The software itself learns which adjustment is best in which situation by collecting and evaluating feedback at runtime. With this, AI takes over the manual tasks of the software engineers by itself.
PROJECT OF THE WEEK
Machine learning project: Together with bimanu Cloud Solutions GmbH, the Fraunhofer Institute (IAO in the Mittelstand 4.0 competence center Stuttgart) is starting a project for predictive maintenance through machine learning.
“The Internet of Things plays a central role.”
Carsten Maschmeyer on his ambitions and the future technology of the Internet of Things.
Lack of digitization in Berlin’s health departments hampers coronavirus app: The digital connection via QR code between the German government’s coronavirus warning app and Berlin’s health authorities isn’t working. People who want to report a positive Covid-19 test to the app still have to call a hotline. Certain questions are then used to verify whether the person has actually been infected. If this is the case, they will receive a confirmation on their smartphone, which can then be used to inform contact persons. This method was supposed to work automatically via QR codes, but that will still take some time in Berlin. The city’s health authorities are not yet connected to the server used to generate the QR codes.