Since 2021, Situm has worked with Ancora, Ledisson, Ednon and Beta Implants on the Saratrof project (Analytical System for the Aggregate Performance of Workers and Robots in Manufacturing Operations), a technological innovation initiative of Gaiastech, the innovation space of the Xunta de Galicia.
This collaborative project is part of the Conecta Hubs 2021 program, funded by the Axencia Galega de Innovación (GAIN) and has the financial support of the European Union (co-financed by FEDER funds under the Feder Galicia 2014-2020 operational program). It also receives support from the Second Vice-Presidency and the Department of Economy, Business and Innovation of the Xunta de Galicia.
The project aims to create an analysis tool to measure the performance of factories, considering the behavior of machines, IT systems, workers, and robots, to increase the efficiency of industrial production.
During the first year, Situm’s work focused on sensory fusion and artificial intelligence to obtain geospatial information. Within the framework of this project, Situm can obtain traceability indicators of the position of users and assets in the industrial environment. These indicators are processed and sent to the data aggregation and analysis meta-platform developed by the partnership, which allows for cross-analysis to extract complete information about the worker.
Cartographic and geo-analytical elements for the industrial environment
Situm has visited the end user’s facilities (Beta), where the different flows of people and materials involved in the manufacturing processes have been analyzed. The Situm location system has been deployed in these facilities to automate the collection of real-time positioning of the people involved in the manufacturing processes.
Specifically, in this industrial environment, it has been useful to know the number of visits to the different geographical areas within the manufacturing plant. For this purpose, with the help of Dimensiona, we have developed web panels to consult the analytics of the number of visits per day/hour received by an area within an industrial building.
We have also collaborated with Prefapp to adapt Situm’s cloud architecture to send the data gathered in real-time from the project to the common meta-platform. Similarly, we have made them available through REST APIs, allowing the integration of cartographic and geo-analytical elements.
Finally, in collaboration with CITIC, we are beginning work on a tool to analyse the sensitivity of signal models to identify areas of malfunctioning of the geolocation system in this type of environment.
In addition, and again with CTIC, we are beginning to define a working methodology to compile labelled cases of correct and incorrect operation of the system that will allow automatic validation of the operation of the incorrect behavior detector. We have also begun to build a tool that will allow automated execution of the tests and obtain reports on the system operation in an unattended manner. It is expected that this tool will, in the future, also allow to validate improvements to the geolocation system.
For the remainder of the project, Situm will continue to work on improving the geolocation data generated, considering the difficulties posed by industrial environments and generating KPIs based on geolocation to integrate them into the meta-platform and obtain performance improvements in the factory.