Web可视化测试数据集

掘进装备运维采集掘进现场工况数据，这些数据的主要特征是：异构、海量大数据，时序性强、实时性高，对个性化可视化的需求要求多。为满足课题的“数据可视化页面5000点数据渲染加载时间小于3秒”指标要求，构建了本web可视化测试数据集。该测试集模拟了装备运维过程中高性能数据展示的要求，实现了性能指标的测试验证。Tunneling equipment operation and maintenance systems collect on-site working condition data during tunneling operations. The collected data is characterized by being heterogeneous massive big data, with strong temporal attributes, high real-time performance, and diverse demands for personalized visualization. To meet the research project's indicator requirement that "the rendering and loading time of 5000-point data on the data visualization page shall be less than 3 seconds", this web-based visualization test dataset was constructed. This test set simulates the requirements for high-performance data display during equipment operation and maintenance, and realizes the test and verification of the performance indicators.

搜集汇总

背景与挑战

背景概述

Web可视化测试数据集是一个专为测试web可视化性能而构建的数据集，用于模拟隧道掘进装备运维中的海量、异构、时序性数据，以验证数据渲染加载时间指标。它关联国家重点研发计划项目，数据量较小（5.35MB），包含多种格式文件，旨在支持高性能数据展示的测试需求。