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Wonder Energy 能源管理平台 by Wuxi Hundun Energy Technology Co., Ltd.

Wonder Energy 能源管理平台 by Wuxi Hundun Energy Technology Co., Ltd. is a highly esteemed winner of the very prestigious 2023 A' Design Award 银奖 in 网站与网页设计 Competition Category.


银网页· 2023

Wonder Energy 能源管理平台

by Wuxi Hundun Energy Technology Co., Ltd.

Client: Wuxi Hundun Energy Technology Co., Ltd.

A' Design Award 银奖 Winner in 网页 Category

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Verified Award Winner

Verify Award Status for #142453

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The Design

About Wonder Energy 能源管理平台

Wonder Energy 是一个面向制造业的数字化能源管理平台。该云端平台运用人工智能算法与真实运行数据,对复杂的能源系统进行监测、分析与优化。能源参数可自动调节,工业制造过程的碳排放量可降低10%至30%。数据通过清晰的图表、技术设备的2.5D动态模型以及工业园区的GIS地图呈现。深色模式则提升了在光线不足环境中的可读性。

The Recognition

About the A' Design Award 银奖

Wonder Energy 能源管理平台是 A' Design Award 银奖得主,这是授予顶级、华美而令人印象深刻的设计的极为崇高的认可。银奖得主是极其卓越、极具创造力的作品,展现出其设计师杰出的专业技能、才华与敏锐。预计Wonder Energy 能源管理平台将成为一件出色的典范之作,兼具非凡的专业性与深刻的创新性。这件赢得 A' Design Award 银奖的设计是一项备受瞩目、令人钦佩的发明,造福并拓展艺术、科学、设计和技术的边界。Wonder Energy 能源管理平台是一件令人羡慕的创作,它唤起渴望,带来积极的情感,并激发惊叹与赞叹。

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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Good Design Deserves Great Recognition

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