The invention discloses a parking arrearage recovery method based on parking big data, and belongs to the technical field of parking management, and the method comprises the steps: collecting the parking data of a plurality of parking lots, and uploading the parking data to a parking big data platform; generating a parking order based on the parking data of each parking lot, and storing the parking order in a database of a parking big data platform; judging whether the vehicle has an arrearage behavior based on the parking order, and generating an arrearage order; vehicle behavior characteristics are statistically analyzed based on the parking data, and an arrearage evidence chain corresponding to the arrearage order is searched according to the vehicle behavior characteristics. According to the scheme, suspected arrearage orders and arrearage orders in the parking lot can be mined through parking big data, the parking lot operation loss is reduced, a complete evidence chain is formed, and disputes between a parking lot operator and a vehicle owner are reduced.
本发明公开了一种基于停车大数据的停车欠费追缴方法,属于停车管理技术领域,该方法包括:采集多个车场的停车数据,并将停车数据上传至停车大数据平台;基于各个车场的停车数据生成停车订单,并将停车订单存储在停车大数据平台的数据库中;基于停车订单判断车辆是否存在欠费行为,生成欠费订单;基于停车数据统计分析车辆行为特征,并根据车辆行为特征查找欠费订单对应的欠费证据链。该方案能够通过停车大数据挖掘车场内疑似欠费订单和欠费订单,减少车场运营损失,并形成完整的证据链,减少车场运营方与车主的纠纷。
Parking arrearage recovery method and system based on parking big data
一种基于停车大数据的停车欠费追缴方法及系统
2023-03-07
Patent
Electronic Resource
Chinese
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