Wonder Energy エネルギーマネジメントプラットフォーム by Wuxi Hundun Energy Technology Co., Ltd. is a highly esteemed winner of the very prestigious 2023 A' Design Award 銀賞 in ウェブサイト・ウェブデザイン Competition Category.
銀ウェブ· 2023
Wonder Energy エネルギーマネジメントプラットフォーム
by Wuxi Hundun Energy Technology Co., Ltd.
Client: Wuxi Hundun Energy Technology Co., Ltd.
A' Design Award 銀賞 Winner in ウェブ Category
Verified Award Winner
Verify Award Status for #142453The Design
About Wonder Energy エネルギーマネジメントプラットフォーム
Wonder Energyは、製造業向けのデジタルエネルギーマネジメントプラットフォームです。クラウドベースの本プラットフォームは、人工知能アルゴリズムと実稼働データを活用し、複雑なエネルギーシステムの監視・分析・最適化を行います。エネルギーパラメータは自動で調整され、産業製造における炭素排出量を10〜30パーセント削減できます。データは明快なグラフィック、技術設備のアニメーション付き2.5Dモデル、産業拠点のGISマップを通じて表示されます。ダークモードにより、照明が不十分な室内でも視認性が向上します。
The Recognition
About the A' Design Award 銀賞
Wonder Energy エネルギーマネジメントプラットフォームは、見事で印象的なハイエンドのデザインに授与される、非常に権威ある評価である A' Design Award 銀賞の受賞作品です。銀賞の受賞作品は、きわめて輝かしく創造性に富んだ作品であり、デザイナーの傑出した専門知識、才能、洞察力を示しています。Wonder Energy エネルギーマネジメントプラットフォームは、素晴らしい代表作であり、驚くほどプロフェッショナルで、深く革新的であることが期待されます。この A' Design Award 銀賞を受賞したデザインは、非常に注目すべき称賛される発明であり、芸術・科学・デザイン・技術の境界に寄与し、それを前進させます。Wonder Energy エネルギーマネジメントプラットフォームは、多くの人に羨まれる創造物であり、欲求を呼び覚まし、前向きな感情をもたらし、驚きと感嘆を灯します。
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
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