男女羞羞视频在线观看,国产精品黄色免费,麻豆91在线视频,美女被羞羞免费软件下载,国产的一级片,亚洲熟色妇,天天操夜夜摸,一区二区三区在线电影
Global EditionASIA 中文雙語Fran?ais
Business
Home / Business / Companies

State Grid Anhui Electric Power Research Institute uses digital tools to prevent floods

chinadaily.com.cn | Updated: 2024-05-12 08:30
Share
Share - WeChat
Staff members from the State Grid Anhui Electric Power Research Institute at work. [Photo provided to chinadaily.com.cn]

Since April, some regions in China's Guangdong and Jiangxi provinces have been affected by the continuous heavy rainfall, leading to frequent occurrences of floods and geological disasters.

According to meteorological forecasts, the precipitation in the Anhui region during this summer is expected to increase by 50 to 80 percent compared to the usual levels. The possible extreme rainfall-induced floods pose a great threat to the safe and stable operation of the power grid.

The State Grid Anhui Electric Power Research Institute is utilizing digital tools and other technical expertise to carry out flood prevention and the maintenance of power grid equipment.

On Thursday, at the inspection site of the Yungu 220 KV transformer substation in Hefei, Anhui province, maintenance personnel inspected goods and materials regarding flood prevention and uploaded related information.

Technical staff members from the institute conducted statistical analysis of all units through the Anhui power grid disaster prevention platform. Those efforts provided robust support for power grid flood prevention.

Power grid flood warning and prediction is a data-intensive task, and the institute is actively advancing the collection and integration of data in need. By gathering data from various sources such as the number forecast center, hydrological bureaus and meteorological departments, an intelligent algorithm system for warning of floods and geological disasters is being constructed.

Through the use of data and positioning systems, disaster warnings of particular stations or lines can be achieved. Real-time risk prediction can be sent to front lines through the platform to help initiate flood prevention emergency responses, organize patrols and ensure timely access to flood information.

Based on the inspection operation app, maintenance personnel can conduct inspections of low-lying substations, ground wire station buildings, foundational waterlogged poles or towers and other power grid facilities.

All flood prevention risk information can be found at the disaster prevention platform. Utilizing digital methods to monitor and control the progress of risk management, they have achieved a full-process control from risk identification, to formulation of risk management plans and finally to the elimination of the risks.

Additionally, based on the distribution of risks, a refined scheduling of flood prevention can be organized.

Combining historical data on floods, flood-prone areas, and other relevant information, technical personnel from the institute utilized the disaster prevention platform to analyze high-risk power grid equipment in flood-prone areas.

Innovative technologies such as three-eye cameras, videos and the precise monitoring of water levels within stations were employed to accurately monitor water levels. Furthermore, drone inspections and shared tower videos were utilized to achieve precise disaster monitoring across all areas at all time.

The State Grid Anhui Electric Power Research Institute, in line with the requirements of digital transformation in power grid flood prevention, has established a digital control system for power grid flood prevention processes.

This initiative addresses the challenges faced by power grid flood prevention work in areas such as prediction, material transportation and on-site inspections during flood seasons. It enhanced the prediction and warning capabilities, promoted the usage of digital tools, and supports the digital transformation of the company.

Top
BACK TO THE TOP
English
Copyright 1994 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
License for publishing multimedia online 0108263

Registration Number: 130349
FOLLOW US
CLOSE
 
主站蜘蛛池模板: 磴口县| 西安市| 措勤县| 安徽省| 汾西县| 鄂尔多斯市| 皮山县| 岳阳市| 梅河口市| 灵宝市| 缙云县| 开远市| 呼和浩特市| 丁青县| 称多县| 肇庆市| 瑞丽市| 临洮县| 湄潭县| 那曲县| 东阳市| 沿河| 桦南县| 杭锦后旗| 合肥市| 浠水县| 麟游县| 克东县| 咸宁市| 勐海县| 隆尧县| 璧山县| 通海县| 青川县| 宜都市| 慈利县| 乾安县| 穆棱市| 宣汉县| 彰武县| 石棉县| 临沂市| 渝中区| 瓮安县| 和顺县| 平昌县| 兴安盟| 无棣县| 南召县| 峨眉山市| 尼玛县| 叙永县| 加查县| 峨山| 灌阳县| 美姑县| 仪陇县| 巩义市| 江都市| 祁连县| 萨嘎县| 化德县| 获嘉县| 菏泽市| 清徐县| 南安市| 揭东县| 高要市| 昌都县| 景泰县| 山东| 寿阳县| 裕民县| 凤山县| 古丈县| 绍兴县| 临泉县| 富宁县| 阳城县| 永泰县| 邛崃市| 建德市|