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Aris-Idc Datacenter-inspektionsrobot af Liu Zhe and Li Xuan

Aris-Idc Datacenter-inspektionsrobot af Liu Zhe and Li Xuan er en højt anset vinder af den meget prestigefyldte 2022 A' Design Award i Sølv i konkurrencekategorien Robotteknologi, Automaton og Automationsdesign.


SølvRobotteknologi· 2022

Aris-Idc Datacenter-inspektionsrobot

af Liu Zhe and Li Xuan

Klient: Youibot

Vinder af A' Design Award i Sølv i kategorien Robotteknologi

38,999

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Farver

Designet

Om Aris-Idc Datacenter-inspektionsrobot

Aris-Idc er en inspektionsrobot udviklet til store datacentre. Robotten bevæger sig autonomt gennem datarummet og overvåger udstyr, lyd, gas og temperatur i realtid. Et højopløseligt vidvinkelkamera optager serverne i hvert kabinet, og billedgenkendelsessoftware sammenligner indikatorlysene med forudindstillede indstillinger for at diagnosticere driftsstatussen. Resultaterne vises i et softwarebaseret administrationssystem, og fejl rapporteres straks til vedligeholdelsespersonalet. Kontinuerlig ubemandet inspektion reducerer det tunge manuelle arbejde i fjerntliggende datacentre.

Anerkendelsen

Om A' Design Award i Sølv

Aris-Idc Datacenter-inspektionsrobot er vinder af A' Design Award i Sølv, en usædvanligt prestigefyldt anerkendelse, der tildeles designs i topklasse, som er pragtfulde og imponerende. Sølvvinderne er enormt geniale og overordentlig kreative værker, der illustrerer deres designeres fremragende ekspertise, talent og skarpsindighed. Aris-Idc Datacenter-inspektionsrobot forventes at være et vidunderligt udstillingsværk, der er bemærkelsesværdigt professionelt og dybt innovativt. Dette design, der har vundet A' Design Award i Sølv, er en højst bemærkelsesværdig, beundret opfindelse, som gavner og flytter grænserne for kunst, videnskab, design og teknologi. Aris-Idc Datacenter-inspektionsrobot er en skabelse, som mange misunder, og som vækker begær, bringer positive følelser og antænder forundring og undren.

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Pressemappe

Credits, teammedlemmer og tekniske detaljer leveret af designeren.

Unikke Egenskaber
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.
Dimensioner & Emballage
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
Produktionsteknologi
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.
Designudfordring
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.
Forskning
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.
Projektvarighed
45days
From 0 to 1 software and hardware version 1.0 is completed.
Driftsflow
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.
Patenter
202130564730.5
Teammedlemmer
liuzhe,lixuan,xiaobingbing,zhaowanqiu,

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A' Design Award er en international, jurybedømt udmærkelse for godt design. Deltag i A' Design Award for at få mulighed for meritokratisk anerkendelse, opnå berømmelse, prestige og omtale af dit arbejde. Nominer dit arbejde til A' Design Award og konkurrér om den eftertragtede A' Design Prize.

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