Intelligent Awareness System 水污染监测系统 by Shenzhen Yimu Technology Co., Ltd is a highly esteemed winner of the very prestigious 2023 A' Design Award 银奖 in 信息技术设计 Competition Category.
银信息技术· 2023
Intelligent Awareness System 水污染监测系统
by Shenzhen Yimu Technology Co., Ltd
Client: Shenzhen Yimu Technology Co., Ltd
A' Design Award 银奖 Winner in 信息技术 Category
Verified Award Winner
Verify Award Status for #141738The Design
About Intelligent Awareness System 水污染监测系统
智能感知系统是一个基于云端的水污染监测平台。布设于不同区域的传感器持续回传监测读数,使水质变化能够被实时追踪。该平台整合了实时数据、历史记录、统计分析、预警管理与气象信息,并以二维和三维图表、数据表格及定制报告的形式呈现分析结果。当监测数值超出标准限值时,系统会自动发出警报,帮助相关部门快速定位污染源,降低污染危害。
The Recognition
About the A' Design Award 银奖
Intelligent Awareness System 水污染监测系统是 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Intelligent Awareness System 水污染监测系统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。Intelligent Awareness System 水污染监测系统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
- A comprehensive real-time overview of water quality changes through a cloud-based service. The platform provides the data entry appears erroneous and gives advice and instructions for maintaining water quality. The user interface features virtual reality in 2D and 3D, augmented reality, and a precision mode. A simple and intuitive solution to visually appealing geometric patterns within a few seconds on a laptop without special design skills or technical knowledge.
- Dimensions & Packaging
- Blockchain Configuration
BaaS platform: 4 nodes, 1-core 24G, 6TB with secure multi-party computing and data privacy protection - Tags
- Yimu, Pollution Warning, Online Data Queries, Statistical Analysis, Graphical Mapping
- Production Technology
- Users can filter data according to interval range, time, geographical location, crowd portrait, longitude, and latitude and easily customize data reports. There are also various presentation forms of calculation model reports through artificial intelligence, 2D or 3D graphs, data tables, and other formats. Intuitive presentation makes the number presentation clearer, more vivid, and more efficient.
- Design Challenge
- Our team independently developed and designed the multi-band micro spectral sensor chip we have adopted. The difficulty of spectral sensors lies in how to embed software algorithms with sensors. Such an analysis of spectral signals requires complicated algorithms for noise reduction, signal analysis, numerical analysis, and tremendous experimental data and models to obtain the most accurate measurement results. It is an intricate and time-consuming process requiring much scientific research, human resources, and material resources. Therefore, this is one of our critical technical barriers.
- Research
- Able to obtain real-time data remotely by combining our software and hardware technologies. This method can significantly reduce the labor cost of collecting and analyzing water samples and mitigate human factors' errors. In water pollution emergencies, relevant departments can immediately get first-hand warning information and take practical measures to virtually eliminate the severe impact of water pollution on the environment and social economy.
- Inspiration
- It offers input parameters regarding data acquisition and access to functions such as receiving notification when a measured water quality characteristic exceeds an applicable guideline. In sudden water pollution, the equipment can accurately detect the pollution sources, ranges, and time and immediately send an alarm notification. Minimize the harm and other adverse consequences caused by pollution incidents.
- Project Duration
- The project started in March 2019 in China and finished in May 2021 in China, and was exhibited in May 2021.
- Operation Flow
- Our internal team independently developed and designed the multi-band micro spectral sensor chips and spectral algorithms we have adopted. The sensor chips are one of the most miniature spectral sensors in the world that have entered mass production, which has a substantial leading advantage in spectral sensors.
- Team Members
- Zhiqiang Li
Tianyi Chen
Fei Zhou
Xiaozhu Yu
Tingran Li
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