中国石油集团川庆钻探工程有限公司车辆运行安全监控数据
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中国石油集团川庆钻探工程有限公司车辆运行安全监控数据是基于车载终端实时采集、数据结构化清洗加工及安全智能监控技术，构建覆盖 “车辆安全管理监控” 全业务链的数据资源，包含车辆实时定位、行驶数据、故障报警等内容，通过车载终端实时采集传输、数据清洗加工处理等技术引擎，将离散数据转化为故障风险预测、维保策略优化等决策能力，推动传统运输保障向 “车辆可监控、风险可预测、运营可提效” 的智能保障新模式演进。该项数据为结构化数据，覆盖全国重点区域（陕西省、新疆省、四川省等），数据范围从2024年4月1日至2025年8月31日，共包含11张表、145个字段、数据记录24.13亿条，数据存储量约1071619.11MB。数据应用场景如下：1. 特定区域实时路况及路线规划应用场景：依托高频采集的车辆轨迹、速度、限速区域、道路等级、异常驾驶标志等实时数据，可为交通管理部门、物流企业、地图导航厂商提供特定区域的实时路况研判能力。通过对车辆在不同道路、时段的速度分布、拥堵点、风险点、多源报警的识别，建立动态路况画像，实现对道路通行状态的近实时反映。第三方用户可基于该数据构建智能路线规划模型，自动规避拥堵区段、限速多发地带与风险区域，为线路优化、运力调度、城市交通治理、应急救援路径规划等业务提供高价值的实时数据支撑，显著提升通行效率与运营效率。2. 车辆运行风险建模应用场景：基于连续覆盖多区域、多工况的车辆定位、报警、驾驶行为、疲劳程度、限速匹配、海拔变化等结构化数据，可为保险公司、运营车辆企业、安全监管机构提供高精度的运行风险建模能力。通过分析驾驶行为模式、典型风险点触发频次、道路等级与事故风险关联、夜间驾驶特征、疲劳驾驶趋势等因素，可构建车辆风险评分模型与驾驶人行为风险画像，实现对事故概率、风险暴露点和潜在故障的提前预测。模型可进一步用于保险定价优化、风控预警、车辆维保策略制定、人员安全管理等场景，为外部客户显著降低事故率与运营风险。
China National Petroleum Corporation Chuanqing Drilling Engineering Co., Ltd. vehicle operation safety monitoring data is a data resource covering the entire business chain of "vehicle safety management and monitoring", built based on real-time collection via on-board terminals, structured data cleaning and processing, and intelligent safety monitoring technologies. It includes real-time vehicle positioning, driving data, fault alarms and other contents. Through technical engines such as real-time collection and transmission via on-board terminals and data cleaning and processing, it converts discrete data into decision-making capabilities including fault risk prediction and maintenance strategy optimization, promoting the transformation of traditional transportation support to a new intelligent support model featuring "monitorable vehicles, predictable risks, and improved operational efficiency". This is structured data covering key national regions (Shaanxi Province, Xinjiang Uygur Autonomous Region, Sichuan Province, etc.). The data spans from April 1, 2024 to August 31, 2025, and contains a total of 11 tables, 145 fields, 2.413 billion data records, with a total storage capacity of approximately 1,071,619.11 MB. Data application scenarios are as follows: 1. Real-time traffic conditions and route planning application scenarios in specific regions: Relying on real-time data such as vehicle trajectory, speed, speed-limited areas, road grade, and abnormal driving signs collected at high frequency, it can provide traffic management departments, logistics enterprises, and map navigation manufacturers with the ability to analyze real-time traffic conditions in specific regions. By identifying the speed distribution, congestion points, risk points, and multi-source alarms of vehicles on different roads and at different times, a dynamic traffic profile can be established to reflect road traffic status in near real time. Third-party users can build intelligent route planning models based on this data, automatically avoiding congested sections, frequent speed-limiting areas and risk regions, providing high-value real-time data support for services such as route optimization, transport dispatch, urban traffic governance, and emergency rescue route planning, significantly improving traffic and operational efficiency. 2. Vehicle operation risk modeling application scenarios: Based on structured data covering multiple regions and working conditions continuously, including vehicle positioning, alarms, driving behavior, fatigue level, speed limit matching, altitude changes and other data, it can provide insurance companies, operating vehicle enterprises, and safety supervision institutions with high-precision operation risk modeling capabilities. By analyzing factors such as driving behavior patterns, typical risk point trigger frequency, road grade and accident risk correlation, night driving characteristics, and fatigue driving trends, vehicle risk scoring models and driver behavior risk profiles can be constructed to achieve early prediction of accident probability, risk exposure points and potential faults. The model can be further used in scenarios such as insurance pricing optimization, risk control early warning, vehicle maintenance strategy formulation, and personnel safety management, significantly reducing accident rates and operational risks for external customers.
