Project: COMET
Updated at: 05-11-2021
Project: DigiPrime
Updated at: 27-10-2021
Project: DigiPrime
Updated at: 27-10-2021
Project: DigiPrime
Updated at: 27-10-2021
Project: TRINITY
Updated at: 18-08-2021
Project: TRINITY
Updated at: 18-08-2021
Updated at: 16-06-2021
Project: SAFIRE
Updated at: 04-06-2021
Updated at: 03-06-2021
Updated at: 03-06-2021
Project: KYKLOS 4.0
Updated at: 28-05-2021
Project: SeCoIIA
Updated at: 28-05-2021
Project: QU4LITY
Updated at: 28-05-2021
Project: SHOP4CF
Updated at: 28-05-2021
Project: ZDMP
Updated at: 28-05-2021
Project: KYKLOS 4.0
Updated at: 28-05-2021
Updated at: 28-05-2021
Updated at: 26-05-2021
Over 700 data points from heating, cooling and ventilation systems are supplied to Building Management System via BACnet controllers.
IMR are using our IIoT Platform installed on-site to read this data from the BACnet controllers. We supplement it with data from IMR sensors (cleanroom occupancy, particle counts, PIRs, door sensors).
This data is then sent in real-time to a containerised cloud-based IIoT Platform where it can be accessed by the Energy Team and the Data Analytics Team.
Updated at: 26-05-2021
Updated at: 26-05-2021
Integration of each subsystem and subsystem components is done via AAS data models and applications. Each individual inspection station component is represented by its own AAS which provides relevant information about asset as well as the control interface (where applicable). AAS application can communicate to each other via OPC-UA communication protocol.
The main goal of the station is to demonstrate how the AAS architecture could be implemented, what are the benefits, what still needs to be addressed.
Siemens PLM XML - Data standard used to define process data from Teamcenter and send to the SCADA and to PLCs.
ATS Bus - Enabled a single, common service bus for data exchange between the PLCs and other high level components of the system, including a SCADA system. Used a broker-based publish-subscribe approach to decouple the physical sources and destinations of the data to facilitate reconfigurability.
Project: ZDMP
Updated at: 21-05-2021
The sensors deployed on the FORM side are used to aquire the process and the equipment data. These data are sent and stored on the ZDMP platform that is used to detect the abnormalities and failures right after they occur and immediately inform the operator, but also to be able to predict and avoid further malfunctions. The components of the ZDMP platform are used to detect any deviations from the normal production process.
The parameters of each manufacturing operation are reported to the ZDMP platform. Within ZDMP platform the parameters are analysed to identify, if selected parameters will result in the good quality and if not, how the parameters can be changed.
If the machine suffers major or unexpected failure, the machine is likely to be stopped. However, some other problems, such as components wearing, can lead to significant degradation in performance. In this regard, an early diagnosis of the defects and early detection of degradation signs reduces production process time. Moreover, introduction of preventive measures, in terms, for instance, of parameter adjustment, allows quality improvement and reduction of defected parts.
The ZDMP platform which is deployed outside of the FORM facility, allows for FORM to reduce the maintenance and investment costs for an internal platform that is important for SME. Moreover, ZDMP platform, as data and knowledge aggregator can be utilized by all industrial partners in order to optimise the production process.
The quality assessment of the products is performed by the FORM industrial partner that utilizes equipment delivered by FIDIA. Degradation in the equipment performance can cause significant quality drop on the FORM side. In order to avoid this, ZDMP platform aggregates the process and equipment data and performs analysis to identify the defects occurring, as well as to detect possible equipment degradation. Analysis of equipment degradation is preformed in cooperation with equipment suppliers.
In this case, the FORM industrial partner gets support from the ZDMP platform and the FIDIA equipment manufacturer. Thus, ZDMP platform provides FORM with the analytical tools for defects detection and prediction/prevention. On the other hand, FIDIA comes into play when non-trivial problems related to equipment behaviour occur.
The ZDMP platform acquires the process and equipment data from FORM and provides a set of innovative services, namely: (i) parameter adjustment, (ii) operator alerting in case of defect, (iii) correlation among various parameters related to equipment and parameters selected. In the case, when equipment manufacturers need to be involved in the problem solving, data can be securely shared through ZDMP platform.
The main data supplier is the FORM industrial partner. After the data are gathered, they are sent and stored within the ZDMP platform deployed outside of FORM. The data are critical to feed ZDMP platform providing the quality control services. Additionally, data can be shared with FIDIA equipment manufacturer to assist with equipment-related quality problems.
ZDMP platform quality control services allows for FORM to timely react on the deviations within the manufacturing process. Depending on the data acquisition frequency and number of machine components the data size can reach up to 10MB per production hour. The recommendations generated by ZDMP platform can be utilized for actions planning towards quality improvement.
Project: ZDMP
Updated at: 21-05-2021
Besides the anomalies caused, for instance, by equipment degradation, this use-case targets the human error called collision. Some common collisions identified by the industrial partners are: movement of the milling head crashing into workpiece or machine itself or the CAD/CAM model defines paths involving movements that cause a crash. Collision avoidance is critical for machine damage prevention, as well as product quality maintenance.
Project: ZDMP
Updated at: 21-05-2021
The X-Ray machine will be deployed at the CONT factory for quality analysis improvement and in-time defects detection. The analysis will be applied to materials and components used within the production process. Before the process start, machine requests the inspection program from ZDMP platform, if one is available, the process starts automatically.
The quality control is important stage of every production process, as a defected part can significantly affect the product functionality. To be able to find possible defects at the earliest possible stage and minimizing the effect on the whole production process at the factory scale the X-Ray inspection machine in conjunction with ZDMP platform are utilized.
This use-case targets not only the quality assessment process within the CONT plant, but also can be used by the supply partners delivering material and components for the CONT, as the reports/feedback can be also shared with them.
The usage of ZDMP platform in conjunction with the X-Ray machine allows to automate the quality check process and to improve the inspection scope (as before only few items from each lot of materials/components are checked on compliance with specification due to time constraints). The new approach allows extending the number of inspected parts, only requiring operator involvement, when the deviations from specifications are detected.
Project: ZDMP
Updated at: 21-05-2021
Usually the assembling of electronic components within the CONT is performed using 6-11 working stations. AS the workstations can be from different manufacturers and have no direct connection, the goal of ZDMP platform is to provide a needed middleware and services for centralized assembly line control by acquiring data from different workstations.
The assembly process is mostly automated. However, some manufacturing stages, as well as some quality operations are performed manually. In this regard, the production process can be improved when quality and performance details can be delivered in time and to the right person.
The ZDMP platform targets more the assembly line layer, than separate workstations. The idea is to aggregate the information coming from the workstations along the assembly line and provide the quality control and performance services.
In this use-case, besides the services providing performance check and quality control, ZDMP platform also enables communication of the workstations and the database keeping the relevant data.
Project: ZDMP
Updated at: 21-05-2021
The test check stations along the assembly line equipped with the cameras serving the goal of optical quality control. Data in the form of images taken within these check stations is a valuable resource that is used not only to check the quality of product, but also to improve the efficiency of quality testing programs. The images taken allow detecting, for instance, defects related to the shape of the product.
In the case of the negative automatic test, operator performs the manual check of the product comparing it with the reference images. The operator decisions with corresponding images are collected and stored to learn or extract the defects types and acceptance limits.
In the case of the negative automatic test, operator performs the manual check of the product comparing it with the reference images. The operator decisions with corresponding images are collected and stored to learn or extract the defects types and acceptance limits.
The ZDMP platform provides an optimisation services for the quality check performed within the CONT assembly line, resulting in the reduction of false-positives during the automatic test, as well as creating the models based on operator decisions used for generation of acceptance patterns.
This use-case has the goal to optimize the quality check process within the CONT assembly line. Data that are not utilized by the previous quality check process are used by ZDMP platform services to complement the process.
ZDMP platform assists the internal quality check system. The quality check stations along the assembly line provide the images for optical quality control. These data along with quality test results are accumulated and analysed by ZDMP platform, and the feedback is generated.
IMR IIoT Toolkit developed for factory deployment. High voltage power components separated in custom enclosures.
It includes a range of sensors, IIoT edge components which perform data collection and aggregation at the edge of the network and which then sends the data to IMR’s IIoT Platform which can either be installed locally, be based in the cloud or even both.
IIoT Toolkit software connectors allow interfaces to be established with operational technologies such as BMS over BACnet or EMS over HTTP.