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Intelligent Awareness System 水質汚染モニタリングシステム by Shenzhen Yimu Technology Co., Ltd

Intelligent Awareness System 水質汚染モニタリングシステム by Shenzhen Yimu Technology Co., Ltd is a highly esteemed winner of the very prestigious 2023 A' Design Award 銀賞 in 情報技術デザイン Competition Category.


銀情報技術· 2023

Intelligent Awareness System 水質汚染モニタリングシステム

by Shenzhen Yimu Technology Co., Ltd

Client: Shenzhen Yimu Technology Co., Ltd

A' Design Award 銀賞 Winner in 情報技術 Category

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Verified Award Winner

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The Design

About Intelligent Awareness System 水質汚染モニタリングシステム

インテリジェント・アウェアネス・システムは、水質汚染をモニタリングするためのクラウドベースのプラットフォームです。各地域に設置されたセンサーが継続的に測定値を送信するため、水質の変化をリアルタイムで把握できます。本プラットフォームは、リアルタイムデータ、過去の記録、統計解析、警報管理、気象情報を統合しています。結果は二次元および三次元のグラフ、データテーブル、カスタムレポートとして表示されます。測定値が基準値を超えた場合にはアラートが送信され、関係部門が汚染源を迅速に特定し、被害を軽減することを支援します。

The Recognition

About the A' Design Award 銀賞

Intelligent Awareness System 水質汚染モニタリングシステムは、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。Intelligent Awareness System 水質汚染モニタリングシステムは、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。Intelligent Awareness System 水質汚染モニタリングシステムは、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
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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