Xicpanahuī campa tlahtōlli
Aris-Idc Tequitl Achto: Tepoztlacatl Tlachiani Ipan Callan Tlanahnamiquiliztli ītēchcopa Liu Zhe and Li Xuan

Tlanāhuatīlli Aris-Idc Tequitl Achto: Tepoztlacatl Tlachiani Ipan Callan Tlanahnamiquiliztli ītēchcopa Liu Zhe and Li Xuan cē cencā mahuizzō tēmacēhualōni īpan huēyi 2022 Mahuizolli A' Design Award Iztacteocuitlatl īpan Tepoztlacayotl, Netlacatilli ihuan Ixtlamatqui Tequitiliztli Tlachihchihualiztli Nēhuilīztli Tlamantli.


IztacteocuitlatlTepoztlacayotl· 2022

Aris-Idc Tequitl Achto: Tepoztlacatl Tlachiani Ipan Callan Tlanahnamiquiliztli

īpal Liu Zhe and Li Xuan

Tlanāhuatīlli: Youibot

Mahuizolli A' Design Award Iztacteocuitlatl Tēmacēhualōni īpan Tepoztlacayotl Tlamantli

37,970

Tlapalli

Tlanēxtilistli

Ītechcopa Aris-Idc Tequitl Achto: Tepoztlacatl Tlachiani Ipan Callan Tlanahnamiquiliztli

Aris-Idc ce tepoztlacatl tlachiani tlein omochiuh inpampa huehueintin callan campa mopiya tlanahnamiquiliztli. Inin tepoztlacatl iselti nehnemi ipan calli campa cateh tlapoztin ihuan quintlachilia tlapoztin, caquiztli, ehecatl ihuan totonqui ipan yehyectli cahuitl. Ce huey tlaixcopinaloni tlein cuali tlachia quintlaixcopina servertin ipan cehcen caxitl, ihuan ce software tlaixmatiliztli quinnenehuilia tlahuiltin ihuan tlein achto omotlali inic quimati quenin tequiti. Tlein monextia mopantlaza ipan ce software tlanahuatiliztli, ihuan tlahtlacoltin niman motenehua intech tlaquixtiani tlapaleuhqueh. In amo tlacayo tlachializtli tlein amo mocahua quihpolohua in tlahuel etic tlamanitiliztli ipan huehca callan campa mopiya tlanahnamiquiliztli.

Tēixīmachōtiliztli

Ītechcopa Mahuizolli A' Design Award Iztacteocuitlatl

Aris-Idc Tequitl Achto: Tepoztlacatl Tlachiani Ipan Callan Tlanahnamiquiliztli ca in quicuic in Mahuizolli A' Design Award Iztacteocuitlatl, hueyi tlamahuizoliztli tlen momaca in huel yectli, tlanextic ihuan mahuiztic tlachihualli. In quicuicah Iztacteocuitlatl ca cenca cualli ihuan cenca yancuic tlachihualli in quinextia in tlamatiliztli, toltecayotl ihuan ixtlamatiliztli intlachihuanime. Ca quinequi in Aris-Idc Tequitl Achto: Tepoztlacatl Tlachiani Ipan Callan Tlanahnamiquiliztli ca cenca cualli, cenca motequiuhtia ihuan yancuic. Ni dizayno in quicuic Iztacteocuitlatl quihuelitia in toltecayotl, tlamatiliztli, dizayno ihuan teknolohia. Aris-Idc Tequitl Achto: Tepoztlacatl Tlachiani Ipan Callan Tlanahnamiquiliztli quiyolchicahua in tlacah, quipaquiltia ihuan quitlamahuiztiltia.

Tlanēxtilistli Ītēixpan

Āmatl Tlanextīliztli

Tlapōhualli, tēquitqueh īwan tēchmachilīztli ōquinmaca in tlanēxtīlīlli.

Cē Zan Ītēchcopa
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.
Huēyiliztli īhuān Tlacualtepēhualli
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.
Tōcāitl
operation and maintenance robots, machine room inspection robot, image recognition, image stitching, two-stage lifting, compact robot base
Tlachīhualiztli Māchiyōtl
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.
Tlanāhuatīlli Nētēcahuilīztli
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.
Tlatēmōliztli
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.
Tēyōllālīliztli
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.
Tēquitl Cāhuitl
45days
From 0 to 1 software and hardware version 1.0 is completed.
Tēquitl Ōhuitl
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.
Patentēmeh
202130564730.5
Calpolli Tlācah
liuzhe,lixuan,xiaobingbing,zhaowanqiu,

Tlacōhualli

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