算法和执法系统第三方测试数据集

算法和执法系统第三方测试数据集主要面向基于运行大数据的新能源汽车安全检验和执法技术研究，基于算法验证测试数据和软件系统测试相关设备产生。通过设计测试案例对算法准确率进行验证，看是否满足指标要求，并采集测试过程中的数据。执法系统是参考国家或行业标准，开展功能和性能检验，并将检验过程信息提交给项目组备案。主要记录了安全性检验评估指标数量、检验模型和风险评估算法准确率验证数据、运行安全风险实时评估模型数量以及执法系统各项指标验证的测试数据。数据量6.48MB。Third-party test dataset for algorithms and law enforcement systems is primarily targeted at research on new energy vehicle safety inspection and law enforcement technologies based on operational big data, and is generated via algorithm verification test data and software system testing-related equipment. Test cases are designed to verify the accuracy of algorithms against specified indicator requirements, and data generated during the testing process is collected. The law enforcement system conducts functional and performance inspections in accordance with national or industry standards, and submits inspection process information to the project team for archiving. The dataset mainly records the number of safety inspection and evaluation indicators, verification data for the accuracy of inspection models and risk assessment algorithms, the number of real-time operational safety risk assessment models, and test data for verifying various indicators of the law enforcement system. The total size of the dataset is 6.48 MB.

搜集汇总

背景与挑战

背景概述

该数据集面向新能源汽车安全检验和执法技术研究，通过第三方测试案例生成，记录了算法准确率验证、安全性检验评估指标以及执法系统性能测试数据。数据量约为6.48MB，主要用于支持相关技术研究和系统验证。