IoT News, Updates and Insights

Organised by the strategic innovation programme, Infra Sweden, the conference showcases the results from funded projects on promoting a sustainable Swedish transport infrastructure.

Results from IoTBridge, a spin-off of the project iBridge, is presented by Jacob Nyman in the afternoon, in the session: AI based surveillance system for condition monitoring of railway bridges (in Swedish: AI-baserat övervakningssystem för tillståndsbedömning av broar).

The conference takes place in Stockholm on 23 October 2024. See the full agenda.

Many wind turbine towers are approaching the end of their design life, which is typically 20-30 years. However, by using the latest techniques and knowledge from structural health monitoring, it is possible to optimise the operation of the turbines and safely extend their lifetime, and thereby also the revenues.

IoTBridge, SM Teknik and researchers from KTH Royal Institute of Technology have joined forces to develop an integrated system for monitoring wind turbine towers, providing condition assessment, remaining life estimation, optimised operation and decision support.

The first wind turbine tower to be equipped with the monitoring and assessment system was the Långlöt Borgholm Wind Turbine on the Swedish island Öland. In May 2024, the team mounted accelerometers, inclinometers and strain gauges in strategic positions of the tower, in collaboration with owners Lundahl & Hall. Data from these sensors are now continuously streamed back to the IoTBridge cloud where the analytical engines are processing the data and correlating them with the energy production data (kWh, windspeed, active power, pitch angle, rotor speed, etc.) from the built-in SCADA (Supervisory Control and Data Acquisition) system.

From now on, the machine learning system will find the optimal energy production level considering the structural health of the tower, thus ensuring a maximal utilisation of the wind turbine in terms of revenue and sustainability.

To enable grid ancillary services, CheckWatt and Huawei have been working closely together to integrate the Huawei residential batteries with CheckWatt’s virtual power plant (VPP) Currently.

Read the announcement from Huawei on LinkedIn

Huawei has a large share of the household market for energy storage in Sweden, and this announcement means a huge increase in the number of batteries compatible with Currently.

This further strengthens CheckWatt’s position as the market leader in providing and aggregating VPP services for the residential market in the Nordic countries, now connecting both large megawatt batteries as well as smaller residential batteries in the range of 5-15 kW.

The PRAESIIDIUM consortium, in which CheckHealth is a partner, is developing solutions aimed at providing real-time prediction of the risk of prediabetes in individuals. The project is now launching its clinical studies to collect more data for the prediction modelling.

To predict the risk of prediabetes, the project uses physics-informed machine learning based on a rich dataset of real-life data, combining registry-based research with behaviour tracking through wearables and nutritional data collection using AI.

To acquire additional bio-clinical data for the modelling and testing of wearable sensors, the project is launching clinical studies in Austria, Lativa and Italy with the following focus points:

• Patients with low risk of prediabetes
• Patients with metabolic risk factors and
• Plasma bio-banking and clinical data collection

CheckHealth is supplying LinkWatch as the backend platform for organising and preparing all collected patient data for analysis together with VoiceRPM for individual nutritional data collection, and solutions for wearable device connectivity.

The PRAESIIDIUM approach to risk prediction goes beyond traditional black-box based approaches by combining mathematical models and explainable AI techniques while improving the prediction performances and reducing the computational time of the risk calculation based on the simulations of the mathematical models.

When the Finnish nuclear power plant Olkiluoto 3 had to make a sudden shutdown on 19 November, CheckWatt‘s virtual power plant Currently was one of the balance resources activated, instantly providing the grid with 22 MW as frequency support.

Currently is a virtual power plant that aggregates and coordinates thousands of distributed batteries to act as one flexibility resource. Currently supports grid balance services like FCR-D up/down and FFR but also energy arbitrage and increased self-consumption.

Read more in the news article on ENERGInyheter.se