机器人智能制造
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长盈精密:公司在深圳松岗燕罗的机器人智能制造产业园预计于今年四季度投入使用
Mei Ri Jing Ji Xin Wen· 2025-11-19 12:55
Group 1 - The company has changed its registered address to an intelligent manufacturing center, indicating a strategic shift towards advanced manufacturing capabilities [2] - The new facility in Shenzhen Songgang Yanluo is expected to be operational in the fourth quarter of this year, with approximately 60,000 square meters dedicated to the production of humanoid robots [2]
长盈精密:机器人智能制造产业园项目预计2025年年底投入使用
Mei Ri Jing Ji Xin Wen· 2025-07-30 12:40
Group 1 - The company is developing a robotics intelligent manufacturing industrial park located at the intersection of Guangming District and Baoan District in Shenzhen [2] - The project includes the construction of headquarters, R&D center, production workshops, and supporting facilities for precision parts, ultra-precision connectors, and high-end intelligent manufacturing [2] - The expected operational date for the project is by the end of 2025 [2]
“95后”全国劳模“赵三问”:我在汽车工厂用AI修机器人
Zhong Guo Xin Wen Wang· 2025-05-03 06:43
Core Viewpoint - Zhao Da, a leader in the equipment maintenance section at China FAW Group's Hongqi manufacturing center, has been recognized as a "National Labor Model" for his contributions to the innovation of robotic manufacturing processes and the resolution of technical challenges in the automotive industry [1][3]. Group 1: Achievements and Innovations - Zhao Da has been involved in the installation and debugging of robots since joining China FAW in October 2019, identifying and solving over 650 issues during the initial production phase [1][2]. - He has applied for 12 invention patents and completed over 180 innovative projects, successfully overcoming more than 490 technical challenges, earning the "China Machinery Industry Science and Technology Award" [3]. Group 2: Problem-Solving Approach - Faced with a malfunctioning painting robot due to low winter temperatures causing condensation, Zhao Da utilized vacuum principles to develop a solution, which involved modifying the robot's programming and conducting extensive testing [2]. - The experience gained from solving this issue was shared with multiple domestic companies, showcasing a collaborative approach to problem-solving within the industry [2]. Group 3: Future Aspirations - Zhao Da is focused on developing predictive maintenance methods using smart sensor technology and algorithms to enhance production efficiency [5]. - The team is working on an AI-driven project that aims to enable robots to autonomously diagnose and repair themselves, contributing to the advancement of the automotive industry in China [5].