Savior Umsebenzi Ophambili Wokusetyenziswa ngu-Mingze Gao

Uyilo olubizwa ngokuba yi-Savior Umsebenzi Ophambili Wokusetyenziswa olwenziwe ngu-Mingze Gao ngumwini obekekileyo webhaso elinobukhazikhazi le-2025 Ibhaso Lebhronzi le-A' Design Award Kudidi Lokhuphiswano lwe-Uyilo lweKamva.

IbhronziYekamva· 2025

Savior Umsebenzi Ophambili Wokusetyenziswa

ngu Mingze Gao

Umxhasi: LuXun Academy of Fine Arts

Umwini we-Ibhaso Lebhronzi le-A' Design Award Kudidi Lwe-Yekamva

124,837

Umwini Webhaso Oqinisekisiweyo

Qinisekisa Isimo Sebhaso se-#164686

Jonga kwi-A' Design Award Uxwebhu Lweendaba Ibheji Yembasa

Imibala

Uyilo

Malunga ne-Savior Umsebenzi Ophambili Wokusetyenziswa

Isicatshulwa Sencwadi: I-Savior yirobhothi yentlangano yonyango olusebenza kuyo yonke imihlaba, eyenzelwe ukusetyenziswa kwiindawo ezichaphazeleke ziintlekele. Iisensa ze-LiDAR zibeka iliso emhlabeni, kwaye irobhothi itshintsha phakathi kweevili neenyawo ukuze ihambe kuwo nawuphi na umhlaba onzima. Ubume bentlangano bayenza kube lula ukufaka iimodyuli zokukhangela nokuhlangula, ezonyango, ezothutho okanye ezonxibelelwano ngokwemisebenzi eyahlukeneyo. Injini esebenzisa i-hydrogen inokongezwa amandla okanye ivuselelwe, ibonelela ngexesha elide lokusebenza. Inkqubo yobuchopho boburhalarhume ihlalutya iinkcukacha zomsebenzi kwaye icwangcise indlela ngokuzimela. Irobhothi ilinganiselwa kubukhulu bemilimitha eyi-1000 nge-996 nge-428.

Ukuqatshelwa

Malunga ne-Ibhaso Lebhronzi le-A' Design Award

Savior Umsebenzi Ophambili Wokusetyenziswa ngumphumeleli weIbhaso Lebhronzi le-A' Design Award, ukuqatshelwa okuhlonitshwayo kakhulu okunikwa imiyilo ephawulekayo eyahlukaniswa kukuyila, ubukrelekrele nobukrelekrele. Abaphumeleleyo beBhronzi ziimveliso ezinobuchule obukhulu nezidala ngokumangalisayo ezingqina amava aphangaleleyo, ukucinga nokwazi ukuzenzela kwabayili bazo. Savior Umsebenzi Ophambili Wokusetyenziswa iyathenjwa ukuba ibe yimpahla exatyiswa kakhulu, edunyiswayo nethandwayo enobungcali obuphawulekayo nezinto ezintsha. Lo myilo uphumeleleyo weIbhaso Lebhronzi le-A' Design Award ubandakanya iindlela ezilungileyo kakhulu kubugcisa, inzululwazi, uyilo kunye nobuchwephesha kwaye ugqwesile ngenxa yokunikela ingqalelo kwiinkcukacha. Savior Umsebenzi Ophambili Wokusetyenziswa iyanelisa iimfuno ngokumangalisayo, ichukumisa iinqwenelo, ikhwebela iimvakalelo kwaye itsala umdla.

Emva Koyilo

Ikhithi Yeendaba

Iziqinisekiso, amalungu eqela kunye neenkcukacha zobugcisa ezinikezelwe ngumyili.

Iimpawu Ezizodwa: Terrain adaptability can rely on LiDAR sensors. The robot automatically switches wheels and feet according to the terrain and drives in complex terrain. The modular design provides different rescue modules to meet various rescue needs. The hydrogen motor is rechargeable and can be refueled with hydrogen. It has a long endurance and can run for a long time. AI can analyze actions autonomously.
Imilinganiselo nePakishini: The dimensions of the robot are 1000mm in length, 996mm in width, and 428mm in height
Iithegi: Intelligent rescue, modular design, hydrogen energy, AI adaptation, disaster relief
Ubuchwepheshe Bokuvelisa: Manufacturing of core components such as precision robot skeletons and drive systems. AI integration enhances the robot's autonomous analysis capabilities through learning model training. Energy systems are used to develop hydrogen engine charging and endurance technologies.
Umngeni Woyilo: How to balance the durability and maneuverability of the caster structure. How to improve the endurance of the hydrogen engine. Integrate the accuracy and stability of the AI system to work uninterruptedly in complex environments.
Uphando: This study develops a terrain intelligent rescue robot with modular design, integrated aluminum, and adaptive tire structure, which can quickly perform search and rescue, medical treatment, transportation, communication and other tasks in disaster areas.
Improve rescue efficiency, reduce casualties, and promote the development of emergency rescue technology.
Inkuthazo: The inspiration for this design comes from the limitations and inefficiency of traditional rescue methods when natural disasters occur frequently. Faced with complex terrain and harsh environment, traditional rescue equipment often has difficulty reaching the scene quickly, resulting in rescue delays. Therefore, the design team hopes to break through the existing technical bottlenecks through the terrain intelligent rescue robot, improve rescue efficiency, and reduce disaster losses.
Ubude Beprojekthi: It starts from March 1, 2024 and ends on June 25, 2024, and is located at Lu Xun Academy of Fine Arts
Ukuhamba Komsebenzi: Start the robot and activate the core functional modules. Select the search and rescue, medical, transportation or communication module according to the mission requirements. The lidar sensor starts to monitor the terrain, and the robot switches the driving mode adaptively. The AI system analyzes the mission data and autonomously plans the action path. After completing the mission, return to the base or wait for further instructions.
Iipathenti: Mingze Gao
Amalungu Eqela: Jiangbo Chen
Guangpeng yue
Mingze Gao
Jingquan You
Jiaying Yu
Zhilin Jia
Zhiming Zhang
Zhen Wang
Meishuang Liu
Ze Li
Lanyu Chang
Zihan Gao
Jingqi Wu
Bo Li
Mingxi Li