Wonder Energy 에너지 관리 플랫폼 by Wuxi Hundun Energy Technology Co., Ltd.

Wonder Energy 에너지 관리 플랫폼 by Wuxi Hundun Energy Technology Co., Ltd. is a highly esteemed winner of the very prestigious 2023 A' Design Award 은상 in 웹사이트 및 웹 디자인 Competition Category.

은웹· 2023

Wonder Energy 에너지 관리 플랫폼

by Wuxi Hundun Energy Technology Co., Ltd.

Client: Wuxi Hundun Energy Technology Co., Ltd.

A' Design Award 은상 Winner in 웹 Category

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Verified Award Winner

Verify Award Status for #142453

Visit Site View at A' Design Award Press Release Award Badge

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The Design

About Wonder Energy 에너지 관리 플랫폼

Wonder Energy는 제조 산업을 위한 디지털 에너지 관리 플랫폼이다. 클라우드 기반의 이 플랫폼은 인공지능 알고리즘과 실제 운영 데이터를 활용해 복잡한 에너지 시스템을 모니터링하고 분석하며 최적화한다. 에너지 매개변수가 자동으로 조정되어 산업 제조 과정의 탄소 배출량을 10~30퍼센트까지 저감할 수 있다. 데이터는 명확한 그래픽, 기술 설비를 표현한 2.5D 애니메이션 모델, 산업 현장의 GIS 지도를 통해 제시된다. 다크 모드는 조명이 어두운 공간에서의 가독성을 향상시킨다.

The Recognition

About the A' Design Award 은상

Wonder Energy 에너지 관리 플랫폼, 이 작품은 A' Design Award 은상 수상작으로, 최상급이며 아름답고 인상적인 디자인에 수여되는 비범하게 권위 있는 인정입니다. 은상 수상작은 대단히 뛰어나고 매우 창의적인 작품으로, 디자이너의 탁월한 전문 지식, 재능, 통찰력을 보여 줍니다. Wonder Energy 에너지 관리 플랫폼, 이 작품은 훌륭한 대표작으로서 매우 전문적이고 깊이 있게 혁신적일 것으로 기대됩니다. 이 은상 수상 디자인은 예술, 과학, 디자인, 기술의 경계를 넓히는 데 이바지하는 주목할 만하고 찬사를 받는 발명품입니다. Wonder Energy 에너지 관리 플랫폼, 이 작품은 모두가 부러워하는 창작물로서 욕망을 일깨우고 긍정적인 감정을 불러오며 경탄과 경이로움을 불러일으킵니다.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: It is a digital energy management platform built on a cloud platform, designed to optimize energy rationing and improve energy utilization in the manufacturing industry. Based on cloud algorithms and AI, it is able to monitor, analyze and optimize complex energy systems, thereby facilitating control by replacing people with machines. It can also reduce carbon emissions of manufacturing by 10-30 percent, thus changing the status quo of serious carbon emissions in the manufacturing industry.
Tags: Energy digital management platform, Terminal user energy-saving behaviors, Highly compatible with existing devices, Being replicated, applied, and promoted easily
Production Technology: Data and analysis results are visualized with the help of clear, easily understood graphics, such as a GIS map of the industrial site, and animated 2.5D modelling of technical equipment and machinery. In addition, the humanized dark mode design provides users with comfortable visual effects and ensures better readability in poorly lit surroundings.
Design Challenge: Together with AI algorithms and actual operation data, it makes AI optimize energy parameter, improve energy utilization, and fully save energy efficiency bill. Compared with traditional energy management platforms, it pays more attention to terminal user energy-saving behaviors. Besides being rapidly and massively replicated, applied, and promoted in the manufacturing industry, it can be used on the existing equipment energy saving, thus reducing carbon emissions in industrial manufacturing.
Research: In 2021, carbon dioxide emissions caused by human activities reached by 36.3 billion tons. As a major manufacturing country, China ranks first in carbon emissions, of which the manufacturing industry accounts for over 80 percent of the carbon emissions of the country. To find ways to reduce emissions in the industry, it is necessary to accurately analyze and measure the influencing factors that prompt the increase of carbon emissions in each link, so as to restrict in a target way.
Inspiration: The energy issue, as a never ending topic, has received worldwide attention. The design team believes that the existing energy sources should be fully utilized while seeking new energy, both aiming to achieve energy saving and emission reduction and optimize energy utilization. Thus, the platform is launched, with the purpose of helping the manufacturing industry optimize energy consumption and fully save energy efficiency bill, unattended and safe operation and maintenance.
Project Duration: The product was developed in Jiangsu, China in September 2021, and also launched here in March 2022.
Operation Flow: It provides a clear strategy instruction, an intuitive UI and comprehensive function, which conform to the operation habits of managers, reduce study threshold, and facilitate intuitive monitoring, remote regulation and dispatching. Full-process digital management, information pushing, automatic response and deals with abnormalities, without manual monitoring or data collection. It eliminates the impacts that the environments have on humans, and can inspect the environment in a contactless way.
Team Members: Jun Xu
Jue Wang
Lan Zhu
Guiying Fu