Ɛeddi ɣer ugbur
Aris-Idc Primary Function: Aṛubu n usenqed n uxxam n yisefka sɣur Liu Zhe and Li Xuan

Aris-Idc Primary Function: Aṛubu n usenqed n uxxam n yisefka sɣur Liu Zhe and Li Xuan d anerbaz yettwaqadren meqqren n 2022 Tarbaḥt A' Design Award n Lfeṭṭa deg Taggayt n Tnaflit n Afeṣṣel n Tarubutikt, Awtumatu d Uswayes.


LfeṭṭaTarubutikt· 2022

Aris-Idc Primary Function: Aṛubu n usenqed n uxxam n yisefka

sɣur Liu Zhe and Li Xuan

Amsaɣ: Youibot

Anerbaz n Tarbaḥt A' Design Award n Lfeṭṭa deg Taggayt n Tarubutikt

38,999

Anerbaz n Urraz Yettwasenqden

Senqed Addad n Urraz i #130901

Initen

Afeṣṣel

Ɣef Aris-Idc Primary Function: Aṛubu n usenqed n uxxam n yisefka

Aris-Idc d aṛubu n usenqed yettwaxedmen i wuxxamen imeqqranen n yisefka. Aṛubu yettembiwil s timanit deg texxamt n yisefka, yettɛassa allalen, ameslaw, agaz d tazɣelt s wakud n tidet. Takamiṛa taɛlayant s tazɣelt tawziwt tettsekkil iqeddacen deg yal snduq, ma d aseɣzan n usmagen n tugniwin yettmyeqqan tanura n tzenzeg d yiɣewwaren yezwaren i wakken ad yesnizmen addad n tazzla. Igmaḍ ttbanen-d deg unagraw n usefrek n useɣzan, ma d tuccḍiwin ttwazenzen i yiselmaden n usегмi imir kan. Asenqed war amdan war aḥraz yessenqas axeddim aẓayan s ufus deg wuxxamen n yisefka ibeɛden.

Asmekti

Ɣef Tarbaḥt A' Design Award n Lfeṭṭa

Aris-Idc Primary Function: Aṛubu n usenqed n uxxam n yisefka d amerbaḥ n Tarbaḥt A' Design Award n Lfeṭṭa, tagmat ɛlayen i yisnulfa yelhan, yeḥlan s waṭas. Imerbaḥen n Lfeṭṭa d isnulfa yelhan akk, yesɛan tmusni d tazmert. Aris-Idc Primary Function: Aṛubu n usenqed n uxxam n yisefka ad yili d asnulfu amaynut, yelhan, ad yeǧǧ ddunit tennuɣ.

Deffir n ufeṣṣel

Tagrurt n tɣamsa

Ismawen n terbaɛt, iferdisen itiknikanen akked telɣut i d-yefka umeṣṣufeɣ.

Taɣara Tasuft
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.
Tigejdiwin & Akemmus
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.
Tibzimin
operation and maintenance robots, machine room inspection robot, image recognition, image stitching, two-stage lifting, compact robot base
Tasnakta n Ufares
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.
Asewḥel n Usnulfu
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.
Anadi
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.
Aseḥbiber
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.
Tanzagt n Usenfar
45days
From 0 to 1 software and hardware version 1.0 is completed.
Tanila n Umahil
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.
Ibrivan
202130564730.5
Igmamen n Terbaɛt
liuzhe,lixuan,xiaobingbing,zhaowanqiu,

Yettwaxellṣen

Snirem Seld Designers.org

Af-d iferdisen, imeẓla d tegnatin sɣur yimɛawnen-nneɣ n usissen.

Asnulfu Yelhan Yesra Asekṛes Ameqqran

Arraz A' n Usnulfu d arraz agraɣlan, yettusneqden sɣur uɣref, i usnulfu yelhan. Ttekki deg Urraz A' n Usnulfu akken ad tesɛuḍ tagnit n usekṛes imeritukratik, ad tawiḍ aẓayer, ameqqer d usissen i umahil-ik. Sumer amahil-ik i Urraz A' n Usnulfu akken ad tnafseḍ s Ulamek A' n Usnulfu.

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