NTT Com begins interconnection testing using a platform connecting Gaia-X (European secure data sharing platform for supply chain companies) with systems of domestic and foreign companies and organizations
NTT Communications Corporation (NTT Com), an ICT and international communications solutions company belonging to the NTT Group (TOKYO: 9432), succeeded in April 2021 in developing the prototype of the platform allowing interconnection with the IDS and the connector IDS, a key technology of IDS, which is one of the essential components of the Gaia-X data ecosystem , the data distribution infrastructure that Europe is developing to protect the data sovereignty of its states and regions.
NTT Com will thus be able to develop the prototype of the secure international data distribution platform, connecting IDS and withTrust TM, NTT Com’s intelligent data platform, which ensures the secure distribution of data between businesses and organizations. NTT Com will conduct interconnection tests with partners in Japan and Europe from October this year until March 2022.
Based on the results of these tests, the commercial version of this platform will be launched in the first half of fiscal year 2022. It will allow secure international distribution of data, including device data in factories, ordering information, and so on. as CO 2 and waste emission data for product life cycles, between the different components of the global supply chain, via Gaia-X and withTrustTM . NTT Com will thus contribute to the achievement of a sustainable society, by improving industrial efficiency, decarbonisation, as well as the recycling of resources via the distribution of data.
NTT Com has created a testing environment in the cloud, in which the data can be shared so securely between companies and organizations, by connecting the IDS, the OPC UA and withTrust TM in Europe and in Japan, which will allow a secure connection to the Gaia-X prototype via the intelligent data platform.
The test environment was created based on the use cases of manufacturing data distribution for decarbonization and resource recycling in the manufacturing sector (currently being investigated as part of the ” Global Platform Study “. data distribution management ”of the sub-working group [SWG8] of the WG1 study group in collaboration with the Robot Revolution & Industrial IoT Initiative [RRI]), and the constraints of the international data interconnection platform were derived from these use cases.
The tests will verify the simplicity, functionality and practicality of the international data distribution platform, connecting devices and systems of domestic and foreign partners with this test environment, as well as distributing data between Japan and Europe.
An experiment will also be carried out in this test environment to interconnect the multiple data spaces of European sectors complying with Gaia-X, in particular the Smart Connected Supplier Network in the Netherlands, and Catena-X in Germany. NTT Com will also study several data models to enable smooth transmission of data related to manufacturing CO 2 emissions.and other information transcending the differences in business practices and legal rules between various countries and sectors.
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The practical aspect of this model will be verified through experiments, for a secure distribution of data between Japan and Europe. Subsequently, in collaboration with the company Empress Software Japan based in Canada, as well as with other companies, NTT Com will offer this model to the OPC Foundation as an information model to accompany the OPC UA.
The partner companies and organizations that have already agreed to participate in the experiment are: Okuma Corporation, OMRON Corporation, DENSO WAVE Inc., Empress Software Japan Inc., Yokogawa Electric Corporation, the open network industrial laboratory of Waseda University’s School of Fundamental Science and Engineering, RRI, Smart Connected Supplier Network (SCSN), and the Value Chain Connectivity Test Working Group as part of the Virtual Engineering Community (VEC). (As of October 14, 2021, in Japanese alphabetical order.)
We are looking for new companies and partner organizations interested in participating in the tests. Based on the results of the tests, we will identify the issues necessary for the interconnection with Gaia-X, we will specify the functional constraints in cooperation with the partner companies and organizations, and we plan to propose in the first half of fiscal year 2022 a commercial version of this platform, equipped with the functional requirements.
Furthermore, in order to enable Japanese companies to exchange data in a secure and fluid manner with the business partners who make up their supply chains at home and abroad, NTT Com will also work on the development of DATA-EX , a data distribution platform under development in Japan, and will develop the technologies and services necessary for the development of DATA-EX in collaboration with Nippon Telegraph and Telephone Corporation, NTT Ltd., NTT DATA and other companies of NTT Group, as well as with the Data Society Alliance (DSA) and RRI.
The trials will be presented at the Robot Revolution and Industrial IoT 2021 International Conference ([Day 3] Data Exchange and Data Quality), which is scheduled to be released online today (October 14), and at the NTT Communications Digital Forum 2021 event, which will take place October 20-22. Regarding the NTT Communications Digital Forum 2021 event, go to the “Smart Factory” section after logging in to the forum URL, to learn more about this test.
In order to protect the rights of data providers in a digital society in which IoT, AI and the cloud are becoming widespread, the European project Gaia-X, a data distribution platform equipped with a mechanism allowing data providers to limit the scope of data disclosure and track data usage history, will be launched in April 2022.
Japanese companies wishing to do business with European companies connected via Gaia-X will likely be required to do so. comply with Gaia-X standards. To comply with Gaia-X standards individually, they will need to bring in engineers familiar with IDS specifications, and make costly and time-consuming system modifications.
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