Recently, with its strong technical advantages and long-term quality customer service, Huawei FusionServer E9000 Converged Architecture Blade Server once again leads other international and domestic manufacturers and successfully won the bid for Zhejiang University Cloud Robot Computing System Project. This is also the second time that Huawei Server has broken through the major research projects of 985 institutions after the Hadoop Big Data Project of Tsinghua University, the Big Data Research Project of Peking University Information School and the HPC Project of Beijing Jiaotong University.
Established in 1989, the State Key Laboratory of Industrial Control Technology is dedicated to the study of applied fundamental theories and techniques in the field of industrial control, narrowing the gap between theory and practice in the field of industrial control, and increasing the impact on China’s national economy. The level of automation of large industrial enterprises. The main research directions of the laboratory include control theory research, automated instrumentation and system research, systems engineering and optimization research, and robotics research.
Cloud Robots - A New Hot Spot in Robotics
Cloud RoboTIcs is a technology that applies cloud computing to robots. Use the powerful computing and storage capabilities of cloud computing to provide a smarter "brain" for robots. It can enhance the capabilities of a single robot and perform complex functional tasks and services. At the same time, robots with different capabilities distributed around the world can break geographical restrictions, cooperate, share information resources, and accomplish larger and more complex tasks. Cloud robots will expand the application field of robots, accelerate and simplify the development process of robot systems, and reduce the construction and use cost of robots. Whether it is home robots, industrial robots or medical robots, it has far-reaching significance. Zhejiang University has been investing in robots for more than 10 years and has won many awards at international robotics.
Huawei Server Helps Zhejiang University Cloud Robot Computing System Project
With the gradual deepening of cloud robot research, the calculation is more and more complex, and the data volume is exploding. Zhejiang University needs a high-density, high-performance computing system to solve the computational needs of computationally intensive and massive data processing services. Part of the resources needed for lab virtual desktop applications. Because the equipment room is located in the laboratory, the environment is relatively old and the number of cabinets is limited, which puts a test on the size, heat dissipation and power consumption of the hardware equipment.
After evaluating the solutions of multiple vendors, Zhejiang University agreed that Huawei's servers are of excellent quality. Its stable, reliable, performance-leading, easy-to-use, high-efficiency and high-density features are fully in line with its project requirements, coupled with long-term quality customer service and performance. Tuning, system optimization and other capabilities make Huawei servers ahead of other competitors and become the first choice for this project.
After analyzing the requirements of the customer in detail, Huawei proposed an overall solution based on Huawei FusionServer E9000 converged architecture blade server and Huawei S2600T storage. A total of two Huawei FusionServer E9000 converged fabric blade servers and 19 CH121 V3 blade servers are deployed. One blade sets up a high-performance computing platform, and the other blade sets up a lab virtual desktop. Another Huawei S2600T mid-range storage is used. Store business data. The solution integrates computing, storage and network integration, and supports the technological evolution of the next three generations of CPUs. The failure rate is 15% lower than that of friends, which can reduce energy consumption by more than 30%. Its high performance, high reliability, high expansion, Easy to manage and so on, it perfectly solves the problems faced by customers, and the test results exceed expectations.
The perfect combination of high performance computing and robotics research
In order to support the humanoid robot with rapid and continuous response capability, a high-performance back-end processing platform is required. Take the humanoid robot playing Chinese national table tennis as an example. From the head of the table to the end of the table, it takes less than one second to successfully return the ball. The athlete relies on experience and intuition. It is a complex identification system, positioning system, computing system and control system. At the moment when the "opponent" hits the ball, the camera opposite the robot captures the trajectory of the ball at a speed of 120 images per second, and transmits the information back to the "eye" of the robot in an instant. Through the rapid processing of the "brain", the robot is The calculation of the position, speed, angle, motion trajectory and drop point of the ball is completed in an instant, and the optimal response route and the optimal return ball posture are calculated. The whole reaction time is between 50 and 100 milliseconds. In the last 0.4 seconds, the robot waved the arm and sent the ball to the opponent accurately. The judgment error of the drop point was less than 2.5 cm.
In order to make imitation people more perfect, they not only have the same shape, weight and real person, but also have 30 joints that can perform their own duties and free movements. They can do 7 degrees of freedom movement with only the arm, which is very flexible. To support such high-performance computing, reduce processing experiments, and deploy E9000 systems, leveraging the balance of performance, reliability, efficiency, and flexibility of their enterprise-class blade servers to make robots react faster, while robots are accurately identified. Predictive, modeling, and responsive capabilities have also been significantly enhanced.
Robotics research is an extremely complex project that requires many researchers to work together and integrate results on the same platform. By deploying the desktop cloud system on the E9000, the in-depth analysis is based on the characteristics of the research project, and effectively integrated into the application platform of the robot research. Provides a more optimized solution. The maintenance efficiency and user experience are improved, and the data of all office workers are uniformly stored in the back-end storage, which realizes the unified management and control of the office system, and greatly improves the security of research data. In terms of operation and maintenance management, the batch update and release of related system upgrade patches greatly improve the operation and maintenance management efficiency and bring great convenience to the operation and maintenance department.
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