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Aiops Tlapachiwilistli Atl Tekitl by Xiaoxi Wang

Aiops Tlapachiwilistli Atl Tekitl by Xiaoxi Wang is a highly esteemed winner of the very prestigious 2024 Mahuizolli A' Design Award Bronse in Tzahualtepoztli ihuan Tzahualtepoztli Tlachihchihualiztli Competition Category.


BronseTzahualtepoztli· 2024

Aiops Tlapachiwilistli Atl Tekitl

by Xiaoxi Wang

Client: Xiaoxi Wang

Mahuizolli A' Design Award Bronse Winner in Tzahualtepoztli Category

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Colors

The Design

About Aiops Tlapachiwilistli Atl Tekitl

Aiops se atl tlapachiwilistli tlen kichijchiuh para ueyi altepeme atl mej tlanechikoli. Nin tekitl kisentlalia Internet of Things tlamachiotl, ueyi tlaixmatilistli, mixtli tekitl uan tlalnamikilistli tlen totomilistli para kitas kualtsin atl tlachijchiuali, ompaya iuan tlen ichtaka tepostli ojtli. Kuak onka amo kuali panotl, niman kimachiotia, yeka amo moneki miak nechkotl kanin ouij nemi. Nin tlaixpampa kitekiti se 2.5D tlalmachiotl uan yankuik machiotl, ika non tlamachiotilistli mochiua kualtsin panotl uan kachi kualtsin momachtia, uan sesen tlayekankak uelis kipatlas kenke kimonequiltia. Aiops kipaleuia tlanahuatilistli chikauak niman kipaleuia moiluiskue amo miak atl mopoloua.

The Recognition

About the Mahuizolli A' Design Award Bronse

Aiops Tlapachiwilistli Atl Tekitl ca in quicuic in Mahuizolli A' Design Award Bronse, hueyi tlamahuizoliztli tlen momaca in cualli tlachihualli in motenehua ipampa yancuic tlamantli, tlamatiliztli ihuan ixtlamatiliztli. In quicuicah Bronse ca tlachihualli in quipia toltecayotl ihuan quinextia in cenca miac nemiliztli ihuan tlamatiliztli intlachihuanime. Ca quinequi in Aiops Tlapachiwilistli Atl Tekitl ca tlazohtli tlamantli, mahuiztic ihuan cualli. Ni dizayno in quicuic Bronse quipia cualli toltecayotl ihuan quitta in tlen tepiton. Aiops Tlapachiwilistli Atl Tekitl quipaquiltia in tlacah ihuan quitlamahuiztiltia in intlanequiliz.

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

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