讯飞智水大模型一体机
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东北水博会上看数智技术赋能智慧治水
Zhong Guo Xin Wen Wang· 2025-10-13 15:57
Group 1 - The Northeast Water Expo, the first large-scale water patent exhibition in Northeast China, opened in Shenyang, featuring over 240 companies showcasing smart water management solutions [1] - The exhibition covers an area of 13,000 square meters, highlighting both "hard products" and "soft products" in water management [1] - Advanced technologies such as AI big data, intelligent perception, IoT, and digital twins are driving the transformation of water management towards "smart water" [1] Group 2 - Keda Xunfei, an AI company focused on the water industry, presented several innovative water management products, including the Xunfei Smart Water Model Integration Machine, which supports flood forecasting, water resource scheduling, and safety management [1] - The Shenyang Water Group showcased an intelligent robotic arm detection system that automates and enhances the efficiency of water meter readings in deep wells [1] - Zhongshui Sanli Data Technology Co., Ltd. introduced a comprehensive smart water management solution that utilizes real-time hydrological monitoring data to predict water level changes and trends [2]
大模型深度赋能多场景水利业务 让“治水”更轻松
Huan Qiu Wang· 2025-06-08 15:04
Core Insights - The article discusses the integration of artificial intelligence (AI) in the water industry, highlighting its role as a new engine for development and innovation [1][3]. Group 1: AI Applications in Water Industry - AI technology is being explored deeply in the water industry, with a focus on enhancing disaster prevention capabilities and improving management of water resources [3][4]. - The "2+N" application system developed by iFlytek aims to enhance capabilities in flood and drought disaster prevention, construction, and operational management [3]. - iFlytek's intelligent scheduling decision system has improved irrigation water utilization efficiency from 0.5 to 0.624 in the Guangxi Yulin Longyun irrigation area [3]. Group 2: Digital Twin and Smart Management - iFlytek combines large model foundations with intelligent voice, image recognition, and multi-modal capabilities to address challenges in water project management [4]. - The digital twin system in Sanya's Yazhou Bay Science and Technology City simulates flood scenarios and supports real-time monitoring and alerts for water conditions [4]. Group 3: iFlytek's Innovations - The iFlytek Smart Water Model One-Stop Machine was showcased at the Water Expo, designed to overcome challenges in deploying smart water models [6]. - This machine integrates various models and provides a comprehensive AI toolchain for customized model functions, promoting innovation in the water industry [7].
讯飞智水大模型一体机亮相数字中国建设峰会
Jing Ji Wang· 2025-05-07 09:04
Core Insights - The recent Digital China Summit showcased innovative products and solutions, highlighting the integration of artificial intelligence into various industries, including water resources management [1][4] - The iFlytek Smart Water Model demonstrated its capabilities in water resource data management and disaster prevention through advanced AI technologies [3][4] Group 1: AI Applications in Water Industry - The iFlytek Smart Water Model utilizes core capabilities in language understanding, text generation, knowledge Q&A, and logical reasoning, combined with big data and knowledge databases in the water sector [3] - It supports various business scenarios such as flood forecasting, water resource scheduling, and safety management of water projects through platforms like Smart Water Q&A, Smart Water Knowledge, and Intelligent Response Systems [3] Group 2: Product Innovations - iFlytek introduced the Smart Water Model integrated machine, designed to facilitate the practical application of large models in the water industry, addressing deployment challenges [3] - This integrated machine supports multiple heterogeneous models and features a full-stack AI toolchain, allowing for deep customization based on business needs and enhancing operational efficiency in the water sector [3]