The German company GLP Systems Ltd., based in Hamburg, is an innovative specialist in the area of information and automation systems for clinical laboratories. GLP Systems has revolutionized the sample transfer using a new approach: Similar to a Carrera race track, the sample vessels are individually moved through the laboratories and cold-storage rooms in intelligent CARs along lanes. Worldwide, lots of those systems are already being used, also in the Center of Laboratory Medicine at the Insel Hospital in Bern.

Figure 1: The pool of empty CARs allows for an efficient and automatic filling on the right lane. In the Tube Assessment Center (TAC), at the right rear of the picture, the samples are classified reliably by the SCS computer vision system and start their individual route through the laboratory.
Source: Center of Laboratory Medicine – Insel Hospital, Bern

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Incorrect analysis results are being avoided thanks to the SCS computer vision solution: The samples are being classified in purely visual terms using their shape and color only. Practically, the world wide range of vessel types is a challenge, since their characteristics oftentimes only differ slightly. Using a statistical evaluation; those samples can be reliably identified despite their variations in production batches. Since the system automatically withdraws samples with unsure classifications, confusions are hence avoided. In those rare cases, employees check on the samples manually and guarantee for the mandatory safety.

SCS Service Tool
Figure 2: The SCS Service Tool allows a detailed status analysis. Thanks to rapid prototyping using MATLAB, the agile development took place quickly in a cost efficient manner and was soon ready for use.

 

 

 

 

 

 

 

 

 

 

 

 

 

A service technician can quickly detect causes of uncertainties thanks to the SCS Service Tool: It analyzes and visualizes diagnostic images along with other data of the TAC. If required, a new series of images can be acquired and thus, the data pool used for the machine learning can be continually expanded. Applying this method, new types of vessels can easily be learned by the system. Moreover, new variations of known vessels can be understood better, therefore the recognition rate is steadily optimized.

Picture 3: Thanks to swarm intelligence, the CARs drive autonomously through a variety of modules (TAC, centrifuges, cap removers, analysis devices etc.) This allows for an individual and cost efficient analysis of the blood samples according to the Industry 4.0 idea.  Source: Center of Laboratory Medicine – Insel Hospital, Bern

After a highly successful research- and demonstration project, the GridBox Technology is now being commercialized within the scope of a spin-off project. The company smart grid solutions AG (website), led by Martin von Euw, will take the technology to market maturity. Supercomputing Systems AG is the technology partner of the new company.

Concerning this matter, read this press release:

 

Zurich, 27th of September 2016

Establishement of smart grid solutions AG:
Spin-off of the largest Smart Grid demonstration project in Switzerland

The project partners of GridBox, the largest smart grid demonstration project of Switzerland, have now established smart grid solutions AG. The company aims at the industrialization of an innovative grid management solution and its further development. Using the new platform smartbox, the pioneering GridBox technology as well as the acquired knowledge of the successful one-year-trial are being unified in one solution.

Thus, smart grid solutions AG offers the distribution grid operators an intelligent and scalable solution, which is able to manage current and future technical challenges. Anton Gunzinger, entrepreneur and member of the board of directors of smart grid solutions AG, explains the use of the real time management systems as follows: “Due to the increase of decentralized producers, battery storage solutions and E-mobility, grid operators will face new challenges, or are already facing them. The smartbox is a tool to master these tasks and does not only serve one single purpose, but as a platform it supports a variety of tasks, services and business models of the grid operators.”

The smartbox technology is the comprehensive platform for a modern distribution grid management. As a coordinated and spread solution it guarantees for a safe yet economic network operation. Thereby the smartbox covers a multitude of requirements. Applications like fault detection- and localization, extended network monitoring, support of the asset management, prosumer-applications as well as market functions, featuring real time characteristics are being unified on just one platform.

 

By applying this generic approach, smart grid solutions AG offers a flexible and scalable measuring-, communications-, and control platform, which allows for a rapid implementation of new business models and therefore already has the answers for tomorrow’s challenges.

For more information please contact:
Martin von Euw
Geschäftsführer smart grid solutions AG
Phone +41 43 543 64 32
Mobil +41 79 230 88 58
martin.voneuw@smartgridsolutions.ch

Press Release (PDF) from 27.9.2016

In collaboration with BKW, ewz and Bacher Energie AG, as well as co-financed by the Federal Office of Energy (FOE), SCS AG has successfully fulfilled the GridBox measurement and demonstration campaigns by March 2016. The GridBox project demonstrated a real-world instance of a full featured smart grid concept. Two distribution grid regions were equipped with almost 150 Gridbox devices: an urban quarter of the city of Zurich as well as an alpine region around Bern (Kiental). The development comprised of the measurement and control box, the communication infrastructure, the central intelligence software as well as data archive and analysis tools. A large number of research campaigns have been conducted on the GridBox platform for more than a year of full operation.

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The primary results of the project are:

  • Demonstration of the feasibility of a real-time management platform for the distribution grid (low- and medium-voltage levels)
  • Development and demonstration of an advances real-time state estimation for distribution grids
  • Topology detection based on pure grid measurement data (calculation of the grid graph and identification of electrical characteristics)
  • Demonstration of a real-time optimization of the distribution grid state by influencing loads and infeed:
    • In households: control of water heaters, heat pumps and solar inverters (P and Q)
    • Within the grid: Control of a large grid battery (500kWh)
  • Recording of detailed grid measurement data in a specific archive: 150 measurement points, 1 Hz, including PMU-information
  • Evaluation of PMU functionality in the distribution grid

Box_open_Rogos_fadedPicture 1: Project-specific GridBox hardware for installation into households, distribution cabins and transformer stations. The box measures voltages and currents (12kHz resolution) with GPS-synchronized phasor information. The measurement data is preprocessed and communicated to a central data processing unit once per second. The box allows the control of flexibilities such as water heaters, heat pumps, solar infeed, batteries, e-mobility etc.

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Picture 2 : The GridBox cockpit is a live visualization of the grid state, showing real-time measurement data, state estimation output and optimizer control information. The measurement data archive is just one click away.

The core team at SCS encompassed ca. 7 engineers. The full project team including partners amounted to about 35 people including developers, data analysts, installation personnel, IT personnel and project management. We highly esteem their active contributions and commitment in order to bring this project to a successful finish.

GridBox will live on – commercialization is planned.

In cooperation with BKW (Berne), ewz (Zurich) and BEAG (Baden), Supercomputing Systems AG develops a holistic smart grid platform that will help to make distribution grids future-proof:

The electrical energy system is undergoing fundamental changes. Efforts to decentralize the system that is historically based on central energy generation and top-down distribution. Large power stations might be replaced by many local energy generation units like PV, water power, wind power etc. In addition, regulatory requirements are changing and energy markets see new rules of the game. All these transformations have an impact on the electrical distribution grid which will have to be more dynamic, less cost-intensive and more intelligent in the future.

GridBox is a generic platform for the intelligent grid of the future: Distributed measurement and control devices (intelligent PMUs, phasor measurement units)  collect data about the grid every second and communicate the grid state to a local master agent. The master agent implements algorithms for grid stability, grid monitoring, asset management aspects, market aspects etc. and takes control of the grid through a set of available actors such as PV inverters, electrical water boilers, batteries, e-car loading stations etc. The platform therefore is a real-time control system for the distribution grid.

The GridBox platform enables additional applications such as power quality measurements, grid monitoring, virtual power plants, support at grid dimensioning, coordination of PV and batteries in homes, smart markets with real-time price signals etc.

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There are two real-world test regions: A rural grid in the Bernese Oberland (region of Kiental) including low- and mid-voltage grids and an urban test region within the city of Zurich. There are 150 devices installed in total and the project will also gather high-resultion grid measurement data throughout an entire year. Experiments and demonstrations will take place live.

The present state of the system and the woring of the state estimator and the optimizer can be observed live through the GridBox cockpit:

kiental_N5_zoom_sidepane_mousetip

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The project is co-funded by the Swiss Federal Office of Energy and runs until mid-2016.

Presentation slides: PDF

Contact: Stephan Moser

The safety and availability of SBB railway infrastructures is ensured by the Infrastructure Monitoring business unit. SBB requires a “towed diagnostics vehicle” (gDFZ) to fulfill this duty and at the same time to provide an enhancement to the existing self-propelled diagnostic vehicle. The gDFZ can also measure the vehicle dynamics and overhead line. When in use, the gDFZ is drawn in a train composition consisting of a locomotive, a braking and a control car.

The central system forms the heart of the new vehicle. It not only adopts the interaction with the user, but also the analysis and the persistent storage and display of all measurement data.

The SBB has accepted the tender from SCS for the development of the central system (hardware and software). The successful concept in the public call for tender combines for the first time modular measurement equipment via open interfaces with the technology of a modern data centre and integrates them into a rail car. This flagship project meets all the essential features of an “Industry 4.0” application.

The Microservice architecture allows a modular, flexible, extensible and highly scalable solution. The result is a clear and extensible software environment, which is extremely well suited for further development over the entire life of the gDFZ and which can also be operated efficiently.

SCS also takes on the role of integrator for the overall system. System integration is the key success factor for the entire project. The chosen solution therefore supports the integration of all current diagnostic and support systems through a clear and systematic approach and through open, transparent and scalable system architecture. SCS has extensive experience both in the field of open systems, the integration of third-party systems and the development of “mission critical applications” including maintenance and support throughout the entire life cycle (Life Cycle Management – LCM), for example with the REGA communication system.

We are delighted with this award and the prospect of working with SBB and the suppliers of the other work packages, peripheral systems and vehicle modifications.

gDFZ-Komposition

Background information on the application:

The SBB infrastructure monitoring business unit is responsible for ensuring the safety and availability of railway infrastructure in compliance with the applicable regulations. The services provided by the monitoring unit are fulfilled using a mix of human expertise (route inspectors) and machine-determined diagnostic and prognostic data (Measurement and Diagnostic Technology). In the medium term the proportion of machine performance will increase due to the expansion of the industrial monitoring of the network and the commissioning of new high-speed lines (Gotthard and Ceneri Base Tunnel GBT/CBT).

Measured test runs are state of the art in railway technology and essential for professional investment management, particularly in the track and traction current asset classes. The measurements in the field of driving technology are mandatory because of the legal and regulatory requirements (including R 22070). Reliable, consistent and meaningful measurement data also provides an important input for short-term diagnostics (monitoring), preventive maintenance and the prognosis of the substance preservation. They form the basis for the medium and long-term maintenance control of the asset classes.