'Aiops' by Xiaoxi Wang: Innovation in Cloud Intelligent Platform

Aiops

Cloud Intelligent Platform for Xiaoxi Wang

Supported by unified control and hierarchical coordination, this platform provides instantaneous monitoring of all water equipment, including concealed pipelines. This eliminates the need for physical inspections in harsh environments and streamlines data collection procedures. Additionally, the platform aggregates data into reports presented through the data visualization cockpit, offering comprehensive scheduling, control, and emergency response solutions from the water source to the end users.

Xiaoxi Wang 2024 Professional Bronze Press Kit № 152675

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Aiops Based by Xiaoxi Wang

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Cloud Intelligent Platform by Xiaoxi Wang

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Xiaoxi Wang Aiops Based

Download 1800 Pixels JPEG Image.

For precise, vibrant prints up to 6 inches, use this 1800-pixel image at 300 DPI. For larger visuals up to 12 inches, 150 DPI ensures the image remains clear and impactful. With press accreditation, enjoy watermark-free, high-res downloads. Low-res images are available immediately for all. Image attributions can be found in the Image Credits Section.

Xiaoxi Wang Cloud Intelligent Platform

Download 1800 Pixels JPEG Image.

The 1800-pixel image is crafted for flexibility in print sizes—crisp and detailed at up to 6 inches with 300 DPI, and maintains its clarity at up to 12 inches when set to 150 DPI. With press accreditation, enjoy watermark-free, high-res downloads. Low-res images are available immediately for all. Photo credits are listed in the Image Credits Section.

Aiops Cloud Intelligent Platform Press Releases

For Aiops, we offer press releases in multiple languages, including: English.

Aiops Cloud Intelligent Platform Media Articles

Explore our ready-to-use articles on Aiops, available in multiple languages: English, Spanish, French, Italian, German, Chinese (Mandarin), Dutch, Portuguese, Indonesian, Japanese, Turkish, Russian, Arabic (Standard), Korean and Hindi, for your feature stories.

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.

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.

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.

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 Overview

Aiops Cloud Intelligent Platform has been a Bronze winner in the Website and Web Design award category in the year 2023 organized by the prestigious A' Design Award & Competition. The Bronze A' Design Award is given to outstanding designs that showcase a high degree of creativity and practicality. It recognizes the dedication and skill of designers who produce work that stands out for its thoughtful development and innovative use of materials and technology. These designs are acknowledged for their professional execution and potential to influence industry standards positively. Winning this award highlights the designer's ability to blend form and function effectively, offering solutions that enhance people's lives and wellbeing.

Image Credits

For design images and photos please credit Xiaoxi Wang.

Bronze Recognition

Xiaoxi Wang was recognized with the coveted Bronze A' Design Award in 2024, a testament to excellence of their work Aiops Cloud Intelligent Platform.

Xiaoxi Wang Press Releases

Our press releases on Xiaoxi Wang and their work are made freely available for press members looking to add depth to their content. For immediate journalistic use: 1 press releases are available right now.

Aiops: Revolutionizing Urban Water Management with Cloud Intelligent Platform

Xiaoxi Wang Unveils Groundbreaking Aiops Platform for Smart Water Management

Xiaoxi Wang Newsroom

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