Shenzhen Yimu Technology Co., Ltd 嘅作品 Intelligent Awareness System 水污染監測系統

由設計師 Shenzhen Yimu Technology Co., Ltd 創作嘅 Intelligent Awareness System 水污染監測系統係備受推崇嘅 2023 A' Design Award 銀獎得獎作品，獲獎類別為資訊科技設計。

銀資訊科技· 2023

Intelligent Awareness System 水污染監測系統

由 Shenzhen Yimu Technology Co., Ltd

客戶: Shenzhen Yimu Technology Co., Ltd

資訊科技類別嘅 A' Design Award 銀獎得獎者

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經驗證嘅獲獎者

驗證設計 #141738 嘅獲獎狀態

喺 A' Design Award 查看新聞稿獎項徽章

色彩

設計

關於 Intelligent Awareness System 水污染監測系統

智能感知系統係一個雲端平台，專為水污染監測而設。放置喺唔同地區嘅感應器會持續傳送讀數，令水質變化可以實時追蹤。呢個平台結合咗即時數據、歷史記錄、統計分析、預警管理同氣象資訊。結果會以二維同三維圖表、數據表格同自訂報告嘅形式顯示。當測量數值超出指引標準，系統就會發出警報，幫助相關部門迅速定位污染源，減低危害。

榮譽認可

關於A' Design Award 銀獎

Intelligent Awareness System 水污染監測系統是 A' Design Award 銀獎得主，這是授予頂級、華美而令人印象深刻的設計的極為崇高的認可。銀獎得主是極其卓越、極具創造力的作品，展現出其設計師傑出的專業技能、才華與敏銳。預計Intelligent Awareness System 水污染監測系統將成為一件出色的典範之作，兼具非凡的專業性與深刻的創新性。這件贏得 A' Design Award 銀獎的設計是一項備受矚目、令人欽佩的發明，造福並拓展藝術、科學、設計和技術的界限。Intelligent Awareness System 水污染監測系統是一件令人羨慕的創作，它喚起渴望，帶來積極的情感，並激發驚嘆與讚嘆。

設計背後

新聞資料包

由設計師提供嘅製作人員名單、團隊成員同技術詳情。

獨特屬性: 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.
尺寸同包裝: Blockchain Configuration
BaaS platform: 4 nodes, 1-core 24G, 6TB with secure multi-party computing and data privacy protection
標籤: Yimu, Pollution Warning, Online Data Queries, Statistical Analysis, Graphical Mapping
生產技術: 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.
設計挑戰: 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.
研究: 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.
靈感: 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.
項目時長: The project started in March 2019 in China and finished in May 2021 in China, and was exhibited in May 2021.
操作流程: 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.
團隊成員: Zhiqiang Li
Tianyi Chen
Fei Zhou
Xiaozhu Yu
Tingran Li