Aris-Idc Primary Function: Robo Enspeksyon Sant Done by Liu Zhe and Li Xuan

Aris-Idc Primary Function: Robo Enspeksyon Sant Done by Liu Zhe and Li Xuan is a highly esteemed winner of the very prestigious 2022 A' Design Award Ajan in Wobotik Competition Category.

AjanWobotik· 2022

Aris-Idc Primary Function: Robo Enspeksyon Sant Done

by Liu Zhe and Li Xuan

Client: Youibot

A' Design Award Ajan Winner in Wobotik Category

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Verified Award Winner

Verify Award Status for #130901

Visit Site View at A' Design Award Press Release Award Badge

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The Design

About Aris-Idc Primary Function: Robo Enspeksyon Sant Done

Aris-Idc se yon robo enspeksyon ki devlope pou gwo sant done. Robo a deplase poukont li nan sal done a epi li kontwole ekipman, son, gaz ak tanperati an tan reyèl. Yon kamera gran ang wo definisyon anrejistre sèvè yo nan chak kabinè, epi yon lojisyèl rekonesans imaj konpare limyè endikatè yo ak konfigirasyon ki preetabli pou dyagnostike eta fonksyònman an. Rezilta yo montre nan yon sistèm jesyon lojisyèl, epi erè yo rapòte bay anplwaye antretyen yo touswit. Enspeksyon kontinyèl san moun redwi travay manyèl lou nan sant done ki alekate.

The Recognition

About the A' Design Award Ajan

Aris-Idc Primary Function: Robo Enspeksyon Sant Done se yon ganyan A' Design Award Ajan, yon rekonesans ki gen yon prestij enmans yo bay design nivo siperyè, bèl anpil e enpresyonan. Ganyan Ajan yo se travay ki trè briyan e ki trè kreyatif ki montre ekspètiz, talan ak finès designer yo. Yo atann Aris-Idc Primary Function: Robo Enspeksyon Sant Done pou se yon bèl travay modèl, remakab nan pwofesyonalis e ki gen gwo inovasyon. Design sa a ki ganyen A' Design Award Ajan se yon envansyon trè remakab, admire ki pote benefis e ki pouse limit atizay, syans, design ak teknoloji. Aris-Idc Primary Function: Robo Enspeksyon Sant Done se yon kreyasyon anpil moun jalou ki reveye dezi, ki pote santiman pozitif e ki limen sipriz ak mèvèy.

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，