Description
Added on the 10/05/2021 08:23:40 - Copyright : Auto Moto EN
Artificial intelligence requires an extensive pool of data, whatever the application. In order to virtually reproduce driving situations at the Driving Simulation Centre and, in the next step, train BMW Group vehicles for automated driving, the actual road network and traffic situations first need to be digitalised.The basis for data-driven development therefore consists of the data collected worldwide by the vehicles of the BMW Group Automated Driving Test Fleet, plus – since the end of 2019 – the data from vehicles owned by BMW Group customers, who have consented to this anonymised information being transmitted and processed.
The use of artificial intelligence (AI) is a central element of the digital transformation process at the BMW Group. The BMW Group already uses AI throughout the value chain to generate added value for customers, products, employees and processes.The BMW Group continues to follow global developments in terms of both technological innovations and regulatory and ethical issues. Together with other companies and organisations, the BMW Group is involved in shaping and developing a set of rules for working with AI, and the company has taken an active role in the European Commission’s ongoing consultation process.
Artificial intelligence can bring even greater precision to controlling highly sensitive systems in automotive production, as a pilot project in the paint shop of the BMW Group’s Munich plant has demonstrated.Despite state-of-the-art filtration technology, the content of finest dust particles in paint lines varies depending on the ambient air drawn in. If the dust content exceeded the threshold, the still wet paint could trap particles, thus visually impairing the painted surface.
Data analytics and artificial intelligence ensure more quality and precision, whether in sports or in production. At the BMW Group, technology supports people. Now and in the future.
The press shop at the BMW Group’s home plant in Munich turns more than 30,000 blanks a day into vehicle body parts. Since 2019 each blank has been given a laser code at the start of production so the body part can be clearly identified throughout. This code is picked up by the iQ Press system, which records material and process parameters – such as the thickness of the metal and oil layer, and the temperature and speed of the presses. The parameters are then related to the quality of the parts produced.Uploaded to the cloud in real time, the data is immediately available in its entirety for the production team to gain a clearer picture of the manufacturing process. iQ Press data is an important tool for them, as it eliminates the need for each body part to be checked in minute detail, in quality control for example, and picks out only irregularities that require action.Artificial intelligence also offers potential to identify recurring patterns in a process, based on the data collected, to support continuous optimisation. So, as well as improving the efficiency of production systems, iQ Press helps to further increase hourly output from the press shop.
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