Aiops ናይ ማይ ምምሕዳር መርበብ by Xiaoxi Wang is a highly esteemed winner of the very prestigious 2024 ናይ ነሓስ ሽልማት A' Design Award in ንድፊ ወብሳይትን ወብን Competition Category.

ነሓስወብ· 2024

Aiops ናይ ማይ ምምሕዳር መርበብ

by Xiaoxi Wang

Client: Xiaoxi Wang

ናይ ነሓስ ሽልማት A' Design Award Winner in ወብ Category

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The Design

About Aiops ናይ ማይ ምምሕዳር መርበብ

Aiops ንኸተማዊ መርበባት ማይ ተባሂሉ ዝተሰርሐ ናይ ማይ ምምሕዳር መርበብ (ፕላትፎርም) እዩ። እዚ መርበብ ኢንተርነት ኦፍ ትንግስ (IoT) ምስትብሃል፣ ቢግ ዳታ፣ ኮምፒዩተር ደመና (ክላውድ ኮምፒዩቲንግ) ከምኡን ሰብ ሰርሖ ኣእምሮ ብምትእስሳር፣ ንመሳርያታት ማይ ብግዜኡ ይከታተል፣ እዚ ድማ ተሸፋፍኑ ዘሎ ቦ�ååለታት (ልቢያታት) ይሓቁፍ። ጉድለታት ብቐጥታ ይግለጹ፣ እዚ ድማ ኣብ ጽንኩር ኣከባቢታት ዘድሊ ምርመራ ይቕንስ። ገጽ ተጠቃማይ 2.5D ካርታ ከምኡን ቀሊል ኣርማታት (ኣይኮናት) ይጥቀም፣ ስለዚ ድማ ዳታ ንምንባብ ቀሊል ኮይኑ ይቕጽል፣ ከምኡ’ውን ነፍሲ ወከፍ ኣመሓዳሪ ኣቀማምጣ ናቱ ብምርኩስ ክቕይሮ ይኽእል። Aiops ንብልሓተኛ ምጅማር ስራሕ (ስማርት ስከዱሊንግ) ደገፍ ይገብር፣ ከምኡ’ውን ንብኸላ ማይ ንምንካይ ይሕግዝ።

The Recognition

About the ናይ ነሓስ ሽልማት A' Design Award

Aiops ናይ ማይ ምምሕዳር መርበብ ናይ ነሓስ ሽልማት A' Design Award ዝዓወተ እዩ፣ ብፈጠራ፣ ርእሰ ሓይልን ስቕታን ዝፍለዩ ብልጫ ዘለዎም ዲዛይናት ዝወሃብ ኣዚዩ ክቡር ኣፍልጦ። ዘዓወቱ ነሓስ ሰፊሕ ተሞክሮ፣ ምሕሳብን ርእሰ ምምዕባልን ዲዛይነራቶም ዘረጋግጹ ኣዚዮም ክኢላታትን ብዘደንቕ መገዲ ፈጠራውያንን ኣርቴፋክትታት እዮም። Aiops ናይ ማይ ምምሕዳር መርበብ ብዙሕ ዝተመነየ፣ ዝደነቐን ዝፈተዎን ብኣገዳሲ መገዲ ሞያውን ሓድሽን ኣቕሓ ክኾን ይጽበ። እዚ ዝዓወተ ዲዛይን ናይ ነሓስ ሽልማት A' Design Award ኣብ ጥበብ፣ ሳይንስ፣ ዲዛይንን ቴክኖሎጂን ዝበለጹ ልምድታት ዘጣምር፣ ንዝርዝር ብዝህቦ ኣቓልቦ ድማ ዝበለጸ እዩ። Aiops ናይ ማይ ምምሕዳር መርበብ ድልየታት ብጽባቐ የማልእ፣ ንድሌታት ይትንክፍ፣ ንስምዒታት የማርኽን ሕቶ ድማ የሰሕብን።

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: This is a standardized, professional solution to water management issues. It incorporates advanced technologies such as IoT sensing, big data, intelligent control, cloud computing, AI, digital twinning, AI algorithms, and VR. With a robust monitoring system and data infrastructure, it achieves smart and secure allocation of urban water resources while preserving water ecology and environment.
Tags: intelligent water management platform, IoT, data visualization, optimized water allocation, monitoring of water equipment in real time
Production Technology: The platform features an interactive interface that adopts a 2.5D GIS map and 2D icons, making the data more intuitive and reducing the cognitive load of users. Its interface, icons, and quick functions can be personalized and customized according to the preferences of the managers. It also provides distinctive visualized data images, enabling a customized operating mode for individual users.
Design Challenge: In comparison to traditional water management systems, this platform offers instantaneous monitoring of concealed water equipment, prompt fault feedback, and intelligent control of start and stop times to ensure safe equipment operation. With a unified control and hierarchical coordination architecture, the platform facilitates synchronized management and optimization of operational data across various processes and management workflows.
Research: Water wastage is a prevalent issue in urban water network management across various stages. To optimize water resource allocation, comprehensive analysis is necessary for each stage. However, traditional data analysis methods in water management are cumbersome, and data gaps between different systems hinder the realization of full potential of data. This has created a greater demand for comprehensive water management platforms among managers.
Inspiration: Urban water pipelines require regular inspections, presenting challenges due to the complex layout of water networks and the inconvenience of inspections. Additionally, some harsh environments hinder human detection and data collection. This platform is specifically designed to address these challenges and optimize the unified management of urban water networks and water resource allocation. It aims to assist managers in optimizing water management strategies and reducing water wastage.
Project Duration: The project was initiated in Beijing in February 2021 and officially launched in August 2021.
Operation Flow: Instantaneous data aggregation and intuitive reporting are key features of the platform. Managers can effortlessly monitor the overall and local operational status of the system through the data visualization cockpit. This enables smart scheduling, online control, and prompt emergency responses from the water source to the end users, maximizing social, economic and environmental benefits.
Team Members: Xiaoxi Wang