Aris-Idc Aris-Idc: Irobhothi Yokuhlola Isikhungo Sedatha ngu-Liu Zhe and Li Xuan

Umdwebo Aris-Idc Aris-Idc: Irobhothi Yokuhlola Isikhungo Sedatha ngu-Liu Zhe and Li Xuan ungumnqobi ohlonishwa kakhulu womklomelo odumile we-2022 Umklomelo Wesiliva we-A' Design Award Esigabeni Somncintiswano se-Amarobhothi.

IsilivaAmarobhothi· 2022

Aris-Idc Aris-Idc: Irobhothi Yokuhlola Isikhungo Sedatha

ngu Liu Zhe and Li Xuan

Iklayenti: Youibot

Umnqobi we-Umklomelo Wesiliva we-A' Design Award Esigabeni se-Amarobhothi

37,970

Umnqobi Womklomelo Oqinisekisiwe

Qinisekisa Isimo Somklomelo se-#130901

Vakashela Isayithi Buka ku-A' Design Award Isitatimende Sabezindaba Ibheji Yomklomelo

Imibala

Ukuklama

Mayelana ne-Aris-Idc Aris-Idc: Irobhothi Yokuhlola Isikhungo Sedatha

I-Aris-Idc iyirobhothi yokuhlola eyakhelwe izikhungo zedatha ezinkulu. Le robhothi ihamba ngokuzimela ngekamelo ledatha futhi iqapha imishini, umsindo, igesi nezinga lokushisa ngesikhathi sangempela. Ikhamera ye-high-definition enebanga elibanzi iqopha amaseva ekhabetheni ngalinye, futhi isoftware yokuhlonza izithombe iqhathanisa izibani zezinkomba nezilungiselelo ezisethiwe kusengaphambili ukuze kuxilongwe isimo sokusebenza. Imiphumela iboniswa ohlelweni lokuphatha lwesoftware, futhi amaphutha abikwa kubasebenzi bokunakekela ngokushesha. Ukuhlolwa okuqhubekayo okungenamuntu kunciphisa umsebenzi wezandla onzima ezikhungweni zedatha ezikude.

Ukuqashelwa

Mayelana ne-Umklomelo Wesiliva we-A' Design Award

Aris-Idc Aris-Idc: Irobhothi Yokuhlola Isikhungo Sedatha iwinile uMklomelo Wesiliva we-A' Design Award, ukwaziswa okuhloniphekile ngokungajwayelekile okunikezwa imiklamo esezingeni eliphezulu, ebukekayo nethinta kakhulu. Abawinile beSiliva yimisebenzi egqamile kakhulu nedala kakhulu ebonisa ubungcweti obuphawulekayo, italente nobuhlakani babaklami babo. Aris-Idc Aris-Idc: Irobhothi Yokuhlola Isikhungo Sedatha ilindeleke ukuba ibe ngumsebenzi omuhle wesibonelo, onobungcweti obuphawulekayo nezinto ezintsha ezijulile. Lo mklamo owinile uMklomelo Wesiliva we-A' Design Award uyinto entsha ebonakala kakhulu nethakazelisayo esiza futhi isunduza imingcele yobuciko, isayensi, ukuklama nobuchwepheshe. Aris-Idc Aris-Idc: Irobhothi Yokuhlola Isikhungo Sedatha iyinto enomhawu omkhulu kuyo evusa izifiso, ilethe imizwa emihle futhi ivuse ukumangala nokuxakeka.

Ngemuva Kokuklama

Iphakheji Yabezindaba

Ama-credit, amalungu eqembu nemininingwane yobuchwepheshe ehlinzekwe ngumklami.

Izici Ezihlukile: 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.
Izilinganiso Nokupakisha: 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.
Amathegi: operation and maintenance robots, machine room inspection robot, image recognition, image stitching, two-stage lifting, compact robot base
Ubuchwepheshe Bokukhiqiza: 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.
Inselele Yokudweba: 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.
Ucwaningo: 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.
Ugqozi: 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.
Ubude Bephrojekthi: 45days
From 0 to 1 software and hardware version 1.0 is completed.
Ukuhamba Kokusebenza: 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.
Amapathenti: 202130564730.5
Amalungu Eqembu: liuzhe，lixuan，xiaobingbing，zhaowanqiu，