大连城投智慧停车数据

大连城投停车产业有限公司作为“路内外停车场经营管理、停车经营权收购与运营、停车科技研发与运用”三大职能于一体的智慧停车产业公司，一方面，需要提升自身的管理水平和服务质量，以应对激烈的市场竞争；另一方面，要借助数字化技术的力量，进行智慧停车数据开发建设，实现停车场的智能化、自动化管理，提高资源利用率，降低运营成本，增加收益。
通过在手持设备PDA和停车场道闸的采集设备，运用车牌融合识别算法对车牌信息进行精确的识别和数据采集，采集到的数据将通过全量数据融合算法进行整合，实现手持设备PDA和停车场道闸的采集数据与银联交易数据、停车场的数据的融合匹配，确保数据的一致性和准确性。
通过<城投停车>小程序中用户的注册情况及停车场相关数据，在停车产业中心展示了用户的注册量及实时的停车场情况，方便管理人员实时了解查看用户量的增长情况&各分部停车场使用情况及车辆实时信息，提高了平台的准确性和真实性；
通过停车情况及用户付款情况分析停车场的收益情况；
通过停车场信息&地图信息数据分析显示停车场的位置信息及空余车位，可引导车主根据距离远近及空位信息前往最合适的停车场；

Dalian Chengtou Parking Industry Co., Ltd. is a smart parking enterprise integrating three core functions: on-road and off-road parking lot operation and management, parking right acquisition and operation, and parking technology R&D and application. On one hand, it needs to improve its management level and service quality to cope with fierce market competition; on the other hand, it must leverage digital technologies to develop and construct smart parking data systems, realize intelligent and automated management of parking lots, enhance resource utilization efficiency, reduce operational costs, and increase revenue.
Using license plate fusion recognition algorithms for accurate identification and data collection of license plate information via handheld PDA devices and parking barrier gate collection equipment, the collected data will be integrated through full-scale data fusion algorithms, achieving fusion and matching between data collected by PDAs and parking barrier gates, UnionPay transaction data, and internal parking lot data, thereby ensuring data consistency and accuracy.
Through user registration data and parking lot-related data from the "Chengtou Parking" mini-program, the parking industry management center displays user registration volume and real-time parking lot status, enabling managers to real-time monitor user growth, usage status of branch parking lots, and real-time vehicle information, thus improving the accuracy and authenticity of the platform.
Analyze the revenue status of parking lots based on parking conditions and user payment data.
Analyze parking lot information and map data to display parking lot locations and available parking spaces, guiding vehicle owners to the most suitable parking lots based on distance and available space information.