Aris-Idc Primaire functie: Datacenter-inspectierobot by Liu Zhe and Li Xuan

Aris-Idc Primaire functie: Datacenter-inspectierobot by Liu Zhe and Li Xuan is a highly esteemed winner of the very prestigious 2022 A' Design Award in Zilver in Robotica, Automaten en Automatisering Ontwerp Competition Category.

ZilverRobotica· 2022

Aris-Idc Primaire functie: Datacenter-inspectierobot

by Liu Zhe and Li Xuan

Client: Youibot

A' Design Award in Zilver Winner in Robotica Category

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The Design

About Aris-Idc Primaire functie: Datacenter-inspectierobot

Aris-Idc is een inspectierobot die is ontwikkeld voor grote datacenters. De robot beweegt zich autonoom door de dataruimte en bewaakt apparatuur, geluid, gas en temperatuur in realtime. Een hoogwaardige groothoekcamera legt de servers in elke kast vast, en beeldherkenningssoftware vergelijkt de indicatielampjes met vooraf ingestelde instellingen om de bedrijfsstatus te diagnosticeren. Resultaten worden weergegeven in een softwarebeheersysteem en fouten worden direct gemeld aan het onderhoudspersoneel. Continue onbemande inspectie vermindert het zware handmatige werk in afgelegen datacenters.

The Recognition

About the A' Design Award in Zilver

Aris-Idc Primaire functie: Datacenter-inspectierobot is winnaar van de A' Design Award in Zilver, een buitengewoon prestigieuze erkenning die wordt toegekend aan topontwerpen die prachtig en indrukwekkend zijn. Winnaars in Zilver zijn enorm briljante en uiterst creatieve werken die de uitmuntende expertise, het talent en de scherpzinnigheid van hun ontwerpers illustreren. Aris-Idc Primaire functie: Datacenter-inspectierobot wordt verwacht een prachtig paradepaardje te zijn dat opmerkelijk professioneel en diepgaand innovatief is. Dit ontwerp dat de A' Design Award in Zilver heeft gewonnen, is een hoogst opmerkelijke, bewonderde uitvinding die baat en de grenzen van kunst, wetenschap, ontwerp en technologie verlegt. Aris-Idc Primaire functie: Datacenter-inspectierobot is een zeer benijde creatie die verlangens oproept, positieve gevoelens brengt en verbazing en verwondering doet ontvlammen.

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，