Aris-Idc Robot za inspekciju centra podataka by Liu Zhe and Li Xuan is a highly esteemed winner of the very prestigious 2022 Сребрна награда A' Design Award in Дизајн роботике, аутоматона и аутоматизације Competition Category.
СребрнаРоботика· 2022
Aris-Idc Robot za inspekciju centra podataka
Client: Youibot
Сребрна награда A' Design Award Winner in Роботика Category
- 37,970
- Verified Award Winner
- Verify Award Status for #130901
The Design
About Aris-Idc Robot za inspekciju centra podataka
Aris-Idc je inspekcijski robot razvijen za velike centre podataka. Robot se autonomno kreće kroz prostoriju sa podacima i u realnom vremenu nadgleda opremu, zvuk, gas i temperaturu. Kamera visoke rezolucije sa širokim uglom snima servere u svakom ormaru, a softver za prepoznavanje slika upoređuje indikatorske lampice sa unapred podešenim vrednostima kako bi dijagnostikovao radni status. Rezultati se prikazuju u softverskom sistemu za upravljanje, a greške se odmah prijavljuju osoblju za održavanje. Kontinuirana inspekcija bez ljudske posade smanjuje težak ručni rad u udaljenim centrima podataka.
The Recognition
About the Сребрна награда A' Design Award
Aris-Idc Robot za inspekciju centra podataka је добитник Сребрне награде A' Design Award, изузетно престижног признања које се додељује врхунским, предивним и импресивним дизајнима. Добитници Сребрне награде неизмерно су бриљантна и изузетно креативна дела која илуструју изузетну стручност, таленат и оштроумност својих дизајнера. Очекује се да Aris-Idc Robot za inspekciju centra podataka буде дивно, узорно дело, запажено професионално и дубоко иновативно. Овај дизајн награђен Сребрном наградом A' Design Award веома је запажен, дивљен изум који користи и помера границе уметности, науке, дизајна и технологије. Aris-Idc Robot za inspekciju centra podataka је творевина којој многи завиде, која буди жеље, доноси позитивна осећања и изазива чуђење и дивљење.
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- At present, the construction period of large-scale idcs is about 1-2 years and these data centers are usually located in remote areas. Thus It is difficult to recruit technical personnel for daily inspection, operation and maintenance. Besides the labor cost and employee turnover rate is high. There are problems such as inadequate and inaccurate inspection in manual inspection process which lacks of data management and data application.
- Dimensions & Packaging
- 1648（length）*604 （width）*604（height）The indicator status monitoring adopts image detection and pattern recognition technology. This robot, equipped with high-definition wide-angle camera, checks the image of the server in the cabinet. The central processing server intelligently recognizes the images and compares it with the preset configuration information to diagnose the running status of internal server in the cabinet. The central processing server needs to quickly identify various of image information correctly that can be a static image such as whether a light is on, or whether a yellow light is on, or a dynamic image such as whether a yellow light is flashing, etc. Finally, the results are displayed through the robot business system and the error results are sent back to the operation and maintenance personnel right away.
- Tags
- operation and maintenance robots, machine room inspection robot, image recognition, image stitching, two-stage lifting, compact robot base
- Production Technology
- The idc inspection robot integrates with intelligent sensors, big data, machine learning, artificial intelligence and other advanced technologies to perceive and monitor the data room environment, equipment, sound, gas, temperature and other multi-dimensional data in real time. It supports 7*24 hours of unmanned inspection and the inspection accuracy rate is over 99%. The monitored data is transferred in real-time and visually interactive to assist in precise decision-making.
- Design Challenge
- The robot base and its structure are designed to meet the special requirements of data room.It adopts the data fusion algorithm to localize the robot position in real time. It also uses the multi-sensor positioning algorithm to avoid the high error rate caused by single sensor’s obtained data, which achieves high-precision and reliable positioning.
Image recognition deploys the deep learning algorithm and Tensor Flow algorithm to handle with image recognition and abnormal warning. - Research
- Aiming at solving all problems of idc inspection such as manpower gap,inadequate and inaccurate inspection risk, high energy consumption, etc., yourobot robotics ‘s idc inspection robot helps to free the operation and maintenance personnel of the computer data room from dangerous and heavy work and improve inspection efficiency and accuracy. The IDC inspection robot autonomously inspects the data room and intelligently analyzes the data, and quickly find out the failures in the data room. This idc inspection robot guarantees the safety and reliability of data room’s operation and maintenance. It also assists in optimizing resources in the data center computer room and reducing energy consumption, realizing green transformation and upgrading.
- Inspiration
- Aiming at solving all problems of idc inspection such as manpower gap,inadequate and inaccurate inspection risk, high energy consumption, etc., youirobot robotics ‘s IDC inspection robot helps to free the operation and maintenance personnel of the computer data room from dangerous and heavy work and improve inspection efficiency and accuracy. The idc inspection robot autonomously inspects the data room and intelligently analyzes the data, and quickly find out the failures in the data room.
- Project Duration
- 45days
From 0 to 1 software and hardware version 1.0 is completed. - Operation Flow
- The intelligent inspection robot system consists of a robot, a software management system and a related operating environment, and all its operations are implemented through the software management system. The entire intelligent inspection robot system is composed of four modules: motion control function, micro-environment management function, automatic inspection function and intelligent work assignment function.
- Patents
- 202130564730.5
- Team Members
- liuzhe，lixuan，xiaobingbing，zhaowanqiu，
Sponsored
Explore Beyond Designers.org
Discover products, services and opportunities from our advertising partners.
More to Explore
Related Designs
Explore more award-winning designs from the same category, selected by merit.
