Aris-Idc Inspekční robot pro datová centra by Liu Zhe and Li Xuan

Aris-Idc Inspekční robot pro datová centra by Liu Zhe and Li Xuan is a highly esteemed winner of the very prestigious 2022 Stříbrná cena A' Design Award in Robotika Competition Category.

StříbroRobotika· 2022

Aris-Idc Inspekční robot pro datová centra

by Liu Zhe and Li Xuan

Client: Youibot

Stříbrná cena A' Design Award Winner in Robotika Category

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Verified Award Winner
Verify Award Status for #130901

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The Design

About Aris-Idc Inspekční robot pro datová centra

Aris-Idc je inspekční robot vyvinutý pro velká datová centra. Robot se autonomně pohybuje datovým sálem a v reálném čase monitoruje zařízení, zvuk, plyny a teplotu. Vysokorozlišovací širokoúhlá kamera zaznamenává servery v každém racku a software pro rozpoznávání obrazu porovnává kontrolky s přednastavenými hodnotami, aby diagnostikoval provozní stav. Výsledky se zobrazují v softwarovém systému správy a chyby jsou okamžitě hlášeny údržbovému personálu. Nepřetržitá bezobslužná inspekce snižuje náročnou manuální práci ve vzdálených datových centrech.

The Recognition

About the Stříbrná cena A' Design Award

Aris-Idc Inspekční robot pro datová centra je vítězem Stříbrné ceny A' Design Award, mimořádně prestižního uznání udělovaného designům nejvyšší kvality, nádherným a působivým. Stříbrní vítězové jsou nesmírně brilantní a mimořádně kreativní díla, která dokládají vynikající odbornost, talent a bystrost svých designérů. Očekává se, že Aris-Idc Inspekční robot pro datová centra bude nádherným, reprezentativním dílem, pozoruhodně profesionálním a hluboce inovativním. Tento design, který získal Stříbrnou cenu A' Design Award, je vysoce pozoruhodný, obdivovaný vynález, který prospívá a posouvá hranice umění, vědy, designu a technologií. Aris-Idc Inspekční robot pro datová centra je výtvor, kterému mnozí závidí, který vyvolává touhy, přináší pozitivní pocity a vzněcuje úžas a údiv.

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，