Savior Mosebetsi wa Sethaleng: Robота ea Topollo e Sebetsang Mobung o Mong le o Mong e nang le Likarolo ka Mingze Gao

Moralo oa Savior Mosebetsi wa Sethaleng: Robота ea Topollo e Sebetsang Mobung o Mong le o Mong e nang le Likarolo ka Mingze Gao ke mohlodi oa khau e hlomphehang haholo ya 2025 Moputso oa Boronse oa A' Design Award Mokhahleong oa Tlhodisano oa Moralo wa Bokamoso.

BoronseBokamoso· 2025

Savior Mosebetsi wa Sethaleng: Robота ea Topollo e Sebetsang Mobung o Mong le o Mong e nang le Likarolo

ka Mingze Gao

Moreki: LuXun Academy of Fine Arts

Mohlodi oa Moputso oa Boronse oa A' Design Award Mokhahleong oa Bokamoso

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Mohlodi oa Khau ea Netefaditsweng

Netefatsa Boemo ba Khau bakeng sa #164686

Sheba ho A' Design Award Tokollo ya Boraditaba Baeche ya Moputso

Mebala

Moralo

Mabapi le Savior Mosebetsi wa Sethaleng: Robота ea Topollo e Sebetsang Mobung o Mong le o Mong e nang le Likarolo

Mongolo oa Buka: Savior ke robota ea topollo e sebetsang mobung o mong le o mong e hlophisitsoeng ka likarolo, e entsoeng bakeng sa mosebetsi libakeng tse otliloeng ke likoluoa. Li-sensor tsa LiDAR li shebella mobu, 'me robota e fetoha pakeng tsa maotong le mekoallo ea maoto ho tsamaea mobung o rarahaneng. Sebopeho sa likarolo se lumella hore likarolo tsa ho batla le ho pholosa, tsa bongaka, tsa lipalangoang kapa tsa puisano li kenngoe bakeng sa mosebetsi o mong le o mong. Enjine ea hydrogen e ka tlatsoa hape kapa ea chajoa, mme e fana ka nako e telele ea ts'ebetso. Sistimi ea bohlale ba maiketsetso e sekaseka data ea mosebetsi 'me e rala tsela ka boitshepho ba eona. Robota e na le boholo ba limilimithara tse 1000 ka tse 996 ka tse 428.

Kamohelo

Mabapi le Moputso oa Boronse oa A' Design Award

Savior Mosebetsi wa Sethaleng: Robота ea Topollo e Sebetsang Mobung o Mong le o Mong e nang le Likarolo ke mohapi oa Moputso oa Boronse oa A' Design Award, kananelo e hlomphehang haholo e fuoang meralo e ikhethang e tsejoang ka boqapi, bohlale ba ho qapa le bohlale. Bahapi ba Boronse ke lintho tse nang le bokhoni ka ho felletseng le boqapi bo hlollang tse tiisang boiphihlelo bo bongata, mohopolo le bokhoni ba ho iphumana ba baqapi ba tsona. Savior Mosebetsi wa Sethaleng: Robота ea Topollo e Sebetsang Mobung o Mong le o Mong e nang le Likarolo e lebelletsoe ho ba ntho e hlomphuoang haholo, e ratoang le e ratehang, e nang le boprofeshenale bo bonahalang le mehopolo e mecha. Moralo ona o hapileng Moputso oa Boronse oa A' Design Award o kenyelletsa mekhoa e metle ka ho fetesisa bonong, mahlaleng, moralong le theknolojing mme o hlahella ka ho tsepamisa maikutlo lintlheng tse nyenyane. Savior Mosebetsi wa Sethaleng: Robота ea Topollo e Sebetsang Mobung o Mong le o Mong e nang le Likarolo e kutloisisa litlhoko hantle, e ama litakatso, e hapa maikutlo mme e tsosa takatso ea ho tseba.

Ka Mora Moralo

Sete ya Boraditaba

Litlhaku, ditho tsa sehlopha le lintlha tsa botekgeniki tse fanoeng ke moetsi wa moralo.

Boleng bo Ikhethang: 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.
Boholo le Phuthelo: The dimensions of the robot are 1000mm in length, 996mm in width, and 428mm in height
Lithegi: Intelligent rescue, modular design, hydrogen energy, AI adaptation, disaster relief
Theknoloji ya Tlhahiso: 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.
Phephetso ya Moralo: 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.
Dipatlisiso: 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.
Kgothaletso: 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.
Nako ya Projeke: It starts from March 1, 2024 and ends on June 25, 2024, and is located at Lu Xun Academy of Fine Arts
Tsamaiso ya Mosebetsi: 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.
Diphatente: Mingze Gao
Litho tsa Sehlopha: 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