background
Today is to talk about the application case of the automotive industry, the customer is an auto parts supplier from North China, its automotive supporting field covers tires, body and chassis, powertrain system, electronic system, exterior system, seat system, locking system, mirror system, roof system, etc., the product is also exported to United States, Mexico, United Kingdom, Spain, Japan and India and other countries and regions, and for BMW, Mercedes-Benz, Geely, BYD, Dongfeng and other well-known domestic and foreign automobile companies to provide systematic overall solutions.
pain point
This case is based on the customer's car seat testing project, which has an annual production capacity of 5 million sets of seats, and the car seats have complex styles and specifications, and its product series and varieties can reach more than 300 varieties. Before the introduction of collaborative robots, the customer's seat detection work was basically completed manually, and with the increase of production capacity and labor costs, it has been looking for a suitable non-standard automation solution to realize robot substitution.
As a special-shaped irregular part, the car seat requires the robot to follow a more complex trajectory during the detection process, and cooperate with the vision system to complete the photo detection of multiple positions and angles. Moreover, with the increase in small batches and multi-variety orders from end customers, the company requires robots to be able to flexibly change batches and complete product testing according to new procedures. In doing so, also pay attention to the workers who are polishing the car seats, which is also demanding in terms of human-robot collaboration.
solution
These requirements did not stump the cobots. On the contrary, the advantages of cobots are fully exploited. In the end, the customer chose to use the Elite EC66 collaborative robot, and equipped the robot with a vision system to inspect the car seat. In the project, the "easy-to-use" and "flexible" characteristics of the Elite robot were demonstrated: we side-mounted the collaborative robot into the existing car seat production line, and at the same time, the almost spherical working range of the Elite robot could perfectly cover the stations that needed to be inspected, ensuring multi-angle and all-round inspection.
And another "safe" feature of Elite robot also plays a role, it can work directly with humans without using safety fences for isolation, and its built-in collision detection has a high degree of reliability and safety, providing a strong guarantee for human-machine collaboration. What's even more surprising to customers is that Elite provides a wealth of communication interfaces, so that customers who are accustomed to using Profinet slave communication interfaces get great convenience. In addition, the cobot can be preset programs, and when the product batch is changed, the new program can be quickly called to debug the robot to quickly put into new tasks, helping customers greatly shorten the changeover time.
Today, the automotive industry is also developing towards "flexible" production, but in fact, more and more industries have begun to change to a small-batch, multi-variety production model. For companies similar to the client in this case, the sooner they are prepared to respond to such changes in production configuration, the sooner they can seize the opportunity for change, and the sooner they can grasp the business opportunities. Choosing to cooperate with Elite robots with more practical application scenarios is the key to seizing this change.
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