ImaB-Edge
Intelligent, multi-modal, self-sufficient building inspection by means of edge computing
The Challenge
Civil engineering structures like bridges, sewage treatment plants or dams are essential elements of infrastructure and therefore highly relevant, both logistically and economically. At the same time, conscientious maintenance is crucial to maintain public safety. There are numerous approaches to resolve the issue, either resulting in high staff or material costs or the need for significant cloud memory. The increasing number of connected devices and sensors, the Internet of Things (IoT), allows for many diverse and innovative applications but produces a rapidly growing amount of data.
The Project
As an alternative to existing solutions, this project aims to develop a modularly customizable on-site system (“ImaB-Edge”) specifically for predictive maintenance of critical infrastructure. The processing of data at their place of origin (edge computing) assists with handling them efficiently and strengthens functionality, reliability, sustainability, and economic efficiency of electronic appliances by means of networking and artificial intelligence. Operators of infrastructure, building material research and test facilities, hardware and software developers and construction companies are working towards a complete system solution for monitoring critical infrastructure. In addition to highway bridges, critical conditions or significant changes in railroad facilities, tunnels, dams, etc. are to be detected at an early stage so that appropriate measures can be initiated.
Our Contribution
We at microsensys are happy to contribute our application-specific know-how for developing robust sensors for condition monitoring in challenging and diverse environments and demanding places (concrete, asphalt, etc.) and producing hardware for precise, continuous measurements. Data can then be collected at a central point for later assessment and analysis by artificial intelligence, making sure service teams and providers can keep track of every building’s condition to act informed and in time. Benefiting from our easy-to-read and durable technology, we will focus on pattern recognition within the sensor data to derive the current and future behavior of structures: precise values for predictive maintenance.
If you would like to find out more about our project, we recommend you visit our project website.
Our project partners
The Federal Institute for Materials Research and Testing (BAM) is a scientific and technical higher federal authority within the portfolio of the Federal Ministry for Economic Affairs and Energy. More
With around 10,000 employees, Autobahn GmbH des Bundes is one of the largest and most diverse infrastructure operators in Germany. It is responsible for around 13,000 km of motorway network in Germany. More
Entsorgungsverband Saar (EVS) was founded in 1998 as a public-law special-purpose association based in Saarbrücken, employs around 500 people and is responsible for all 52 towns and municipalities in Saarland. More
Rogmann Ingenieure GmbH are architects, engineers and designers, united in an expert team that has been reliably and successfully planning and supervising construction work for over 30 years. More
The Fraunhofer IZFP is a leading international research and development centre for non-destructive monitoring with 115 scientific and technical employees. More
Fraunhofer IPMS will contribute its experience in the integration of particularly energy-saving components for IoT applications to the project. More
WPM - Ingenieure GmbH is a civil engineering company specialising in building physics, structural design, maintenance management including structural inspections in accordance with DIN 1076 and VDI 6200. More
EUROKEY Software GmbH is a software manufacturer with core competences in the areas of mobile solutions, apps and browser-based applications. In the area of research and development, the focus is on BIM. More
