ʻO Aris-Idc Primary Function: Loka Pahu Nānā ʻIkepili na Liu Zhe and Li Xuan he mea lanakila hanohano loa o ka 2022 A' Design Award Kala ma ka Māhele Hoʻokūkū Hoʻolālā Lōpika, Mīkini Hana a me Hana Maʻamau.
KalaLōpika· 2022
Aris-Idc Primary Function: Loka Pahu Nānā ʻIkepili
Mea Kūʻai: Youibot
Mea Lanakila A' Design Award Kala ma ka Māhele Lōpika
Mea Lanakila i Hōʻoia ʻIa
Hōʻoia i ke Kūlana Makana no #130901Ka Hoʻolālā
E Pili Ana iā Aris-Idc Primary Function: Loka Pahu Nānā ʻIkepili
ʻO Aris-Idc he loka nānā i hoʻokumu ʻia no nā kikowaena ʻikepili nui. Neʻe kūʻokoʻa ka loka ma waena o ka lumi ʻikepili a nānā i nā lako, ke kani, ke kinoea, a me ka mahana ma ka manawa maoli. Hoʻopaʻa kekahi paʻikiʻi ākea kiʻekiʻe i nā kikowaena ma loko o kēlā me kēia pahu, a hoʻohālikelike ka polokalamu ʻike kiʻi i nā kukui hōʻailona me nā hoʻonohonoho i hoʻonoho mua ʻia e wānana i ke kūlana holo. Hōʻike ʻia nā hopena ma kahi ʻōnaehana hoʻokele polokalamu, a hōʻike koke ʻia nā hewa i nā limahana mālama. Hōʻemi ka nānā mau ʻana me ka ʻole o ke kanaka i ka hana lima kaumaha ma nā kikowaena ʻikepili mamao.
Ka Hoʻomaikai
E Pili Ana i ka A' Design Award Kala
Ua lanakila ka hoʻolālā Aris-Idc Primary Function: Loka Pahu Nānā ʻIkepili i ka A' Design Award Kala, he ʻike hoʻohanohano nui loa i hāʻawi ʻia i nā hoʻolālā kiʻekiʻe loa, nani a kupaianaha. He mau hana ʻālohilohi loa a hana noʻeau nui nā lanakila Kala e hōʻike ana i ka loea, ka makakoho a me ka ʻoi aku o ka noʻonoʻo o kā lākou poʻe hoʻolālā. Manaʻo ʻia ʻo ka hoʻolālā Aris-Idc Primary Function: Loka Pahu Nānā ʻIkepili he hana kupaianaha, kūlana ʻoi aku, ʻoihana kiʻekiʻe a hou loa. ʻO kēia hoʻolālā i lanakila i ka A' Design Award Kala he mea hoʻokumu kūpono loa, mahalo ʻia e hāʻawi i ka pōmaikaʻi a hoʻoneʻe i nā palena o ka hana noʻeau, ka ʻepekema, ka hoʻolālā a me ka ʻenehana. He mea i ʻeleu ʻia e nā mea he nui ka hoʻolālā Aris-Idc Primary Function: Loka Pahu Nānā ʻIkepili e hoʻāla i ka makemake, lawe mai i nā manaʻo maikaʻi a hoʻāla i ka kamahaʻo a me ka mahalo.
Ma Hope o ka Hoʻolālā
ʻEke Nūhou
Nā hōʻoia, nā lālā hui a me nā kikoʻī ʻenehana i hāʻawi ʻia e ka mea hoʻolālā.
- Nā ʻAno Kūʻokoʻa
- 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.
- Nā Ana a me ka Hoʻopili
- 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.
- Nā Lepili
- operation and maintenance robots, machine room inspection robot, image recognition, image stitching, two-stage lifting, compact robot base
- ʻEnehana Hana
- 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.
- Pilikia Hoʻolālā
- 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. - Noiʻi
- 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.
- Hoʻoulu Manaʻo
- 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.
- Ka Lōʻihi o ka Papahana
- 45days
From 0 to 1 software and hardware version 1.0 is completed. - Kaʻina Hana
- 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.
- Nā Palapala Kuleana
- 202130564730.5
- Nā Lālā Hui
- liuzhe，lixuan，xiaobingbing，zhaowanqiu，
Kākoʻo ʻIa
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