【摘要】 现实的多停车场资源统一诱导系统中,由于停车硬件厂商、归属、开放时间、收费标准都难以统一,导致系统中停车资源异构、智能计算能力弱、第三方接入困难、安全级别较低等问题。针对这些问题,提出一种基于移动Agent的停车诱导云平台,利用Agent在协作性、共享性、安全性方面的内在优势与云平台的开放性优势相结合。通过建立ParkAgent的结构化层、迁移层、协作层和共享层,有效改进了异构资源统一、异地资源协同、第三方系统安全快速接入问题。在云平台架构下,实现了后台云服务与前端云硬件终端的对接。该系统在苏州城市管理中进行实际应用,优化了停车场资源的分配,显著提高资源利用率,为出行提供了方便。更多还原

【Abstract】 In the actual multi-parking resources unified induction system,it is difficult to unify the parking hardware manufacturers,ownership,opening hours,and charging standards,resulting in some issue such as heterogeneous parking resources,weak intelligent computing capabilities,difficulties in third-party access,and low security levels. To solve these problems,this paper proposed a mobile agent-based parking guidance cloud platform,which combined the inherent advantages of Agent in terms of collaboration,sharing,and security with the openness advantages of the cloud platform. Through the establishment of Park Agent ’s structured layer,migration layer,cooperation layer and sharing layer,the problem of unifying heterogeneous resources,cooperation of remote resources,and secure and rapid access of third-party systems were effectively improved. Then further,under the cloud platform architecture,the back-end cloud service interfaced with the front-end cloud hardware terminal was implemented. Finally,this paper applied the practical application in urban management in Suzhou,optimizes the allocation of parking resources,significantly improved resource utilization,and provided convenience for travel.更多还原