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@@ -1,230 +1,244 @@
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-import gongHuImage from '@/assets/images/贡湖.png'
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+import gongHuImage from "@/assets/images/贡湖.png";
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+import gongHuImage1 from "@/assets/images/GH1.png";
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+import gongHuImage2 from "@/assets/images/GH2.png";
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+import gongHuImage3 from "@/assets/images/GH3.png";
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+import gongHuImage4 from "@/assets/images/GH4.png";
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+import gongHuImage5 from "@/assets/images/GH5.png";
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+import gongHuImage6 from "@/assets/images/GH6.png";
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+import gongHuImage7 from "@/assets/images/GH7.png";
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+import gongHuIvideo from "@/assets/video/贡湖水文站视频.mp4";
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// 水文站项目数据
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export const hydrologicalStationProject = {
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- id: 'hydrological-station',
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- title: '水文水生态数字孪生系统',
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- subtitle: '实现水文监测站点的数字化映射',
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+ id: "hydrological-station",
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+ title: "水文水生态数字孪生系统",
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+ subtitle: "实现水文监测站点的数字化映射",
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coverImage: gongHuImage,
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- date: '2024年3月',
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- location: '江苏省·无锡市',
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- client: '江苏省水文局',
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- tags: ['数字孪生', '物联网', 'AI', '实时监测'],
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- overview: '水文水生态数字孪生系统是集 “全域场景孪生、全要素感知、全流程运维” 于一体的智慧水利管理平台，系统以 “实验室智慧楼宇 + 多站点孪生联动” 为场景特色，集成多个自动监测站孪生场景，构建 “室内实验室 - 户外监测站” 一体化可视化管理体系；依托 “天空地水工” 全方位监测体系搭建坚实数据底座，不仅实时接入水位、流量、雨情等核心水文数据及溶解氧、氨氮等水质指标，更通过湖流分层监测与数值模拟，直观呈现水域不同深度流速流向，实现水文水生态态势的立体感知与精准刻画；叠加仪器流程动画演示、设备运行智能监测、维护全流程管理等运维功能，形成 “场景可视化 - 数据可感知 - 运维智能化” 的闭环管理，为水文水资源监测、水生态保护及决策调度提供全方位、高精度的数字支撑。',
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+ date: "2024年3月",
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+ location: "江苏省·无锡市",
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+ client: "江苏省水文局",
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+ tags: ["数字孪生", "物联网", "AI", "实时监测"],
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+ overview:
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+ "水文水生态数字孪生系统是集 “全域场景孪生、全要素感知、全流程运维” 于一体的智慧水利管理平台，系统以 “实验室智慧楼宇 + 多站点孪生联动” 为场景特色，集成多个自动监测站孪生场景，构建 “室内实验室 - 户外监测站” 一体化可视化管理体系；依托 “天空地水工” 全方位监测体系搭建坚实数据底座，不仅实时接入水位、流量、雨情等核心水文数据及溶解氧、氨氮等水质指标，更通过湖流分层监测与数值模拟，直观呈现水域不同深度流速流向，实现水文水生态态势的立体感知与精准刻画；叠加仪器流程动画演示、设备运行智能监测、维护全流程管理等运维功能，形成 “场景可视化 - 数据可感知 - 运维智能化” 的闭环管理，为水文水资源监测、水生态保护及决策调度提供全方位、高精度的数字支撑。",
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materials: [
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{
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- id: '1',
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- name: '数字孪生水文站技术方案.pdf',
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- type: 'pdf',
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- size: '3.1MB',
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- uploadDate: '2024-03-15',
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- description: '项目技术方案，包含系统架构和实现方法',
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- category: '文件'
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- },
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- {
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- id: '2',
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- name: '水文监测站点分布.xlsx',
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- type: 'excel',
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- size: '2.8MB',
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- uploadDate: '2024-03-10',
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- description: '100+个监测站点的详细分布信息',
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- category: '文件'
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- },
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- {
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- id: '3',
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- name: '传感器选型手册.docx',
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- type: 'word',
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- size: '1.5MB',
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- uploadDate: '2024-02-28',
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- description: '各类水文监测传感器的选型指南',
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- category: '文件'
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- },
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- {
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- id: '4',
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- name: '系统集成测试报告.pdf',
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- type: 'pdf',
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- size: '2.2MB',
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- uploadDate: '2024-03-20',
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- description: '系统集成测试结果和验收报告',
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- category: '文件'
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- },
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- {
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- id: '5',
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- name: '移动端APP开发文档.zip',
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- type: 'zip',
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- size: '85MB',
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- uploadDate: '2024-03-18',
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- description: '移动端应用程序开发文档和源代码',
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- category: '文件'
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- },
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- {
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- id: '6',
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- name: '运维管理手册.pdf',
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- type: 'pdf',
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- size: '3.8MB',
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- uploadDate: '2024-03-12',
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- description: '系统运维和故障处理手册',
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- category: '文件'
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- },
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- {
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- id: '7',
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- name: '水文站运行演示.mp4',
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- type: 'video',
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- size: '150MB',
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- uploadDate: '2024-03-15',
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- description: '数字孪生水文站运行演示视频',
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- category: '媒体'
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- },
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- {
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- id: '8',
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- name: '传感器安装视频.mp4',
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- type: 'video',
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- size: '95MB',
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- uploadDate: '2024-03-10',
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- description: '各类传感器安装和调试视频',
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- category: '媒体'
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- },
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- {
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- id: '9',
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- name: '水文站现场照片集.zip',
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- type: 'zip',
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- size: '68MB',
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- uploadDate: '2024-03-05',
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- description: '水文监测站点现场照片',
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- category: '媒体'
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- },
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- {
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- id: '10',
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- name: 'APP功能演示.mp4',
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- type: 'video',
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- size: '120MB',
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- uploadDate: '2024-03-18',
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- description: '移动端应用功能演示视频',
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- category: '媒体'
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- }
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+ id: "1",
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+ name: "数字孪生水文站技术方案.pdf",
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+ type: "pdf",
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+ size: "3.1MB",
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+ uploadDate: "2024-03-15",
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+ description: "项目技术方案，包含系统架构和实现方法",
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+ category: "文件",
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+ },
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+ {
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+ id: "2",
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+ name: "水文监测站点分布.xlsx",
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+ type: "excel",
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+ size: "2.8MB",
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+ uploadDate: "2024-03-10",
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+ description: "100+个监测站点的详细分布信息",
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+ category: "文件",
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+ },
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+ {
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+ id: "3",
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+ name: "传感器选型手册.docx",
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+ type: "word",
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+ size: "1.5MB",
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+ uploadDate: "2024-02-28",
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+ description: "各类水文监测传感器的选型指南",
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+ category: "文件",
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+ },
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+ {
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+ id: "4",
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+ name: "系统集成测试报告.pdf",
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+ type: "pdf",
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+ size: "2.2MB",
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+ uploadDate: "2024-03-20",
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+ description: "系统集成测试结果和验收报告",
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+ category: "文件",
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+ },
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+ {
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+ id: "5",
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+ name: "移动端APP开发文档.zip",
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+ type: "zip",
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+ size: "85MB",
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+ uploadDate: "2024-03-18",
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+ description: "移动端应用程序开发文档和源代码",
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+ category: "文件",
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+ },
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+ {
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+ id: "6",
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+ name: "运维管理手册.pdf",
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+ type: "pdf",
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+ size: "3.8MB",
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+ uploadDate: "2024-03-12",
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+ description: "系统运维和故障处理手册",
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+ category: "文件",
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+ },
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+ {
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+ id: "7",
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+ name: "水文站运行演示.mp4",
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+ type: "video",
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+ size: "150MB",
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+ uploadDate: "2024-03-15",
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+ description: "数字孪生水文站运行演示视频",
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+ category: "媒体",
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+ },
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+ {
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+ id: "8",
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+ name: "传感器安装视频.mp4",
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+ type: "video",
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+ size: "95MB",
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+ uploadDate: "2024-03-10",
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+ description: "各类传感器安装和调试视频",
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+ category: "媒体",
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+ },
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+ {
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+ id: "9",
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+ name: "水文站现场照片集.zip",
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+ type: "zip",
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+ size: "68MB",
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+ uploadDate: "2024-03-05",
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+ description: "水文监测站点现场照片",
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+ category: "媒体",
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+ },
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+ {
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+ id: "10",
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+ name: "APP功能演示.mp4",
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+ type: "video",
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+ size: "120MB",
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+ uploadDate: "2024-03-18",
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+ description: "移动端应用功能演示视频",
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+ category: "媒体",
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+ },
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],
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technicalHighlights: {
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sensorNetwork: {
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- title: '高精度传感器网络',
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- description: '构建了覆盖全流域的高精度传感器网络，实现水位、流量、水质等多参数实时监测',
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- features: ['多参数监测', '高精度采集', '覆盖全流域', '实时传输'],
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- images: [gongHuImage, gongHuImage, gongHuImage] // 图片集合
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+ title: "三维可视化与场景交互",
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+ description:
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+ "构建了覆盖全流域的高精度传感器网络，实现水位、流量、水质等多参数实时监测",
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+ features: ["多参数监测", "高精度采集", "覆盖全流域", "实时传输"],
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+ images: [gongHuImage5, gongHuImage2], // 图片集合
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},
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dataTransmission: {
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- title: '实时数据传输技术',
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- description: '采用5G和物联网技术，实现监测数据的实时传输和处理，确保数据及时性和准确性',
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- features: ['5G传输', '低延迟', '高可靠性', '断点续传'],
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- images: [gongHuImage, gongHuImage, gongHuImage] // 图片集合
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+ title: "立体监测感知",
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+ description:
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+ "采用5G和物联网技术，实现监测数据的实时传输和处理，确保数据及时性和准确性",
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+ features: ["5G传输", "低延迟", "高可靠性", "断点续传"],
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+ images: [gongHuImage3, gongHuImage6], // 图片集合
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},
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aiAnalysis: {
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- title: 'AI预测分析模型',
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- description: '基于机器学习算法，对水文数据进行智能分析和预测，提升预测精度和效率',
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- features: ['机器学习', '智能预测', '数据分析', '模型优化'],
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- images: [gongHuImage, gongHuImage, gongHuImage] // 图片集合
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- },
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- mobileApp: {
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- title: '移动端应用开发',
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- description: '开发了移动应用程序，支持数据查询、预警通知和远程控制功能',
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- features: ['数据查询', '预警通知', '远程控制', '离线查看'],
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- images: [gongHuImage, gongHuImage, gongHuImage] // 图片集合
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- },
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- faultDiagnosis: {
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- title: '故障诊断与预警系统',
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- description: '实现设备状态实时监测和故障预警，提高运维效率和设备可靠性',
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- features: ['状态监测', '故障预警', '诊断分析', '运维建议'],
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- images: [gongHuImage, gongHuImage, gongHuImage] // 图片集合
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+ title: "仪器管理与智能运维",
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+ description:
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+ "基于机器学习算法，对水文数据进行智能分析和预测，提升预测精度和效率",
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+ features: ["机器学习", "智能预测", "数据分析", "模型优化"],
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+ images: [gongHuImage1, gongHuImage4, gongHuImage6, gongHuImage7], // 图片集合
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}
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},
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achievements: [
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{
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- id: '1',
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- title: '监测站点覆盖100+',
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- summary: '实现了100+个监测站点的全覆盖，为水文监测提供了坚实基础',
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- content: '数字孪生水文站项目成功部署了100+个监测站点，覆盖了主要河流、湖泊和地下水监测点。这些站点配备了高精度传感器，能够实时采集水位、流量、水质、气象等多类数据，为水文监测和预测提供了全面、准确的数据支撑。',
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- date: '2024-03-15',
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- author: '技术部',
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- category: '基础设施',
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- number: '100+',
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- description: '监测站点覆盖',
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- image: gongHuImage
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- },
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- {
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- id: '2',
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- title: '数据准确率提升至99.9%',
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- summary: '通过优化传感器和数据处理算法，数据准确率显著提升',
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- content: '项目采用了高精度传感器和先进的数据处理算法，有效提高了数据采集的准确性和可靠性。经过严格测试和验证，数据准确率从传统方法的95%提升至99.9%，为水文监测和预测提供了更可靠的数据基础。',
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- date: '2024-03-10',
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- author: '质量部',
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- category: '技术成果',
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- number: '99.9%',
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- description: '数据准确率',
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- image: gongHuImage
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- },
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- {
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- id: '3',
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- title: '数据更新频率提升至10秒',
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- summary: '实现了数据的高频更新，满足实时监测需求',
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- content: '项目建立了高效的数据传输和处理系统，数据更新频率从传统方法的1分钟提升至10秒。这使得监测数据能够更及时地反映水文变化，为防汛抗旱、水资源调度等决策提供了实时数据支持。',
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- date: '2024-03-05',
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- author: '工程部',
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- category: '性能优化',
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- number: '10s',
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- description: '数据更新频率',
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- image: gongHuImage
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- },
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- {
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- id: '4',
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|
- title: '运维成本降低50%',
|
|
|
- summary: '通过智能化运维系统，大幅降低了运维成本',
|
|
|
- content: '项目引入了智能化运维系统，实现了设备状态的实时监测和故障预警。系统能够自动识别设备异常并提供运维建议，减少了人工巡检和维护成本。相比传统运维方式，运维成本降低了50%。',
|
|
|
- date: '2024-03-01',
|
|
|
- author: '运维部',
|
|
|
- category: '成本优化',
|
|
|
- number: '50%',
|
|
|
- description: '运维成本降低',
|
|
|
- image: gongHuImage
|
|
|
- }
|
|
|
+ id: "1",
|
|
|
+ title: "监测站点覆盖100+",
|
|
|
+ summary: "实现了100+个监测站点的全覆盖，为水文监测提供了坚实基础",
|
|
|
+ content:
|
|
|
+ "数字孪生水文站项目成功部署了100+个监测站点，覆盖了主要河流、湖泊和地下水监测点。这些站点配备了高精度传感器，能够实时采集水位、流量、水质、气象等多类数据，为水文监测和预测提供了全面、准确的数据支撑。",
|
|
|
+ date: "2024-03-15",
|
|
|
+ author: "技术部",
|
|
|
+ category: "基础设施",
|
|
|
+ number: "100+",
|
|
|
+ description: "监测站点覆盖",
|
|
|
+ image: gongHuImage,
|
|
|
+ },
|
|
|
+ {
|
|
|
+ id: "2",
|
|
|
+ title: "数据准确率提升至99.9%",
|
|
|
+ summary: "通过优化传感器和数据处理算法，数据准确率显著提升",
|
|
|
+ content:
|
|
|
+ "项目采用了高精度传感器和先进的数据处理算法，有效提高了数据采集的准确性和可靠性。经过严格测试和验证，数据准确率从传统方法的95%提升至99.9%，为水文监测和预测提供了更可靠的数据基础。",
|
|
|
+ date: "2024-03-10",
|
|
|
+ author: "质量部",
|
|
|
+ category: "技术成果",
|
|
|
+ number: "99.9%",
|
|
|
+ description: "数据准确率",
|
|
|
+ image: gongHuImage,
|
|
|
+ },
|
|
|
+ {
|
|
|
+ id: "3",
|
|
|
+ title: "数据更新频率提升至10秒",
|
|
|
+ summary: "实现了数据的高频更新，满足实时监测需求",
|
|
|
+ content:
|
|
|
+ "项目建立了高效的数据传输和处理系统，数据更新频率从传统方法的1分钟提升至10秒。这使得监测数据能够更及时地反映水文变化，为防汛抗旱、水资源调度等决策提供了实时数据支持。",
|
|
|
+ date: "2024-03-05",
|
|
|
+ author: "工程部",
|
|
|
+ category: "性能优化",
|
|
|
+ number: "10s",
|
|
|
+ description: "数据更新频率",
|
|
|
+ image: gongHuImage,
|
|
|
+ },
|
|
|
+ {
|
|
|
+ id: "4",
|
|
|
+ title: "运维成本降低50%",
|
|
|
+ summary: "通过智能化运维系统，大幅降低了运维成本",
|
|
|
+ content:
|
|
|
+ "项目引入了智能化运维系统，实现了设备状态的实时监测和故障预警。系统能够自动识别设备异常并提供运维建议，减少了人工巡检和维护成本。相比传统运维方式，运维成本降低了50%。",
|
|
|
+ date: "2024-03-01",
|
|
|
+ author: "运维部",
|
|
|
+ category: "成本优化",
|
|
|
+ number: "50%",
|
|
|
+ description: "运维成本降低",
|
|
|
+ image: gongHuImage,
|
|
|
+ },
|
|
|
],
|
|
|
caseStudies: [
|
|
|
{
|
|
|
- type: 'image',
|
|
|
+ type: "image",
|
|
|
image: gongHuImage,
|
|
|
- title: '监测站实景',
|
|
|
- description: '现代化水文监测站点建设'
|
|
|
+ title: "监测站实景",
|
|
|
+ description: "现代化水文监测站点建设",
|
|
|
},
|
|
|
{
|
|
|
- type: 'image',
|
|
|
+ type: "image",
|
|
|
image: gongHuImage,
|
|
|
- title: '数据可视化',
|
|
|
- description: '实时数据展示与分析'
|
|
|
+ title: "数据可视化",
|
|
|
+ description: "实时数据展示与分析",
|
|
|
},
|
|
|
{
|
|
|
- type: 'image',
|
|
|
+ type: "image",
|
|
|
image: gongHuImage,
|
|
|
- title: '移动应用',
|
|
|
- description: '移动端数据访问与管理'
|
|
|
- }
|
|
|
+ title: "移动应用",
|
|
|
+ description: "移动端数据访问与管理",
|
|
|
+ },
|
|
|
+ {
|
|
|
+ type: "video",
|
|
|
+ video: gongHuIvideo,
|
|
|
+ thumbnail: gongHuImage5,
|
|
|
+ title: "贡湖项目视频",
|
|
|
+ description: "数字孪生贡湖项目介绍视频",
|
|
|
+ },
|
|
|
],
|
|
|
applicationEffects: [
|
|
|
{
|
|
|
- id: '1',
|
|
|
- title: '水文监测精度提升30%',
|
|
|
- summary: '通过数字孪生技术，水文监测精度显著提升，为防汛抗旱提供了更可靠的数据支撑',
|
|
|
- content: '数字孪生水文站项目成功提升了水文监测的精度。通过引入高精度传感器和先进的数据处理算法，监测数据的准确率从传统方法的70%提升至95%，精度提升了30%。这一突破为防汛抗旱、水资源调度等决策提供了更可靠的数据支撑，有效提高了决策的科学性和准确性。',
|
|
|
- date: '2024-03-20',
|
|
|
- author: '监测部',
|
|
|
- category: '监测技术',
|
|
|
- image: gongHuImage
|
|
|
- },
|
|
|
- {
|
|
|
- id: '2',
|
|
|
- title: '数据采集自动化率达到100%',
|
|
|
- summary: '实现了水文数据的全自动化采集，告别了传统人工采集方式',
|
|
|
- content: '项目实现了水文数据的全自动化采集，通过物联网传感器实时采集数据，并通过5G网络传输到云端进行处理。自动化率达到100%，彻底告别了传统人工采集方式，有效避免了人为误差，提高了数据采集的时效性和准确性。系统每日可自动采集和处理数百万条数据。',
|
|
|
- date: '2024-03-18',
|
|
|
- author: '技术部',
|
|
|
- category: '自动化',
|
|
|
- image: gongHuImage
|
|
|
- }
|
|
|
- ]
|
|
|
-}
|
|
|
+ id: "1",
|
|
|
+ title: "水文监测精度提升50%",
|
|
|
+ summary:
|
|
|
+ "通过数字孪生技术，水文监测精度显著提升，为防汛抗旱提供了更可靠的数据支撑",
|
|
|
+ content:
|
|
|
+ "数字孪生水文站项目成功提升了水文监测的精度。通过引入高精度传感器和先进的数据处理算法，监测数据的准确率从传统方法的70%提升至95%，精度提升了30%。这一突破为防汛抗旱、水资源调度等决策提供了更可靠的数据支撑，有效提高了决策的科学性和准确性。",
|
|
|
+ date: "2024-03-20",
|
|
|
+ author: "监测部",
|
|
|
+ category: "监测技术",
|
|
|
+ image: gongHuImage,
|
|
|
+ },
|
|
|
+ {
|
|
|
+ id: "2",
|
|
|
+ title: "数据采集自动化率达到100%",
|
|
|
+ summary: "实现了水文数据的全自动化采集，告别了传统人工采集方式",
|
|
|
+ content:
|
|
|
+ "项目实现了水文数据的全自动化采集，通过物联网传感器实时采集数据，并通过5G网络传输到云端进行处理。自动化率达到100%，彻底告别了传统人工采集方式，有效避免了人为误差，提高了数据采集的时效性和准确性。系统每日可自动采集和处理数百万条数据。",
|
|
|
+ date: "2024-03-18",
|
|
|
+ author: "技术部",
|
|
|
+ category: "自动化",
|
|
|
+ image: gongHuImage,
|
|
|
+ },
|
|
|
+ ],
|
|
|
+};
|
WQQ
