基于网络机器人的远程室内安防新方法

发布时间：2018-08-07 06:30

【摘要】：针对智慧家庭工程安防需求,研究了无线网络与云计算环境下远程安防机器人系统设计的关键技术。项目首先将WIFI短距离无线通信技术与远程网络技术(GPRS、TCP/IP)一体化集成用于机器人系统通信,系统功能强;利用QT技术设计显示界面,使操作、显示更加合理化、人性化;机器臂设计理念采用柔性设计技术,便于拾取危险物体或探测险情;项目融入了云计算技术,利用"腾讯云"存贮有价值信息,系统可扩展性更好。系统测试表明,当家里处于无人状态,系统主动开启安防监控模式。意外情况发生时,传感器将报警数据发送到主控板进行处理后通过GPRS模块打电话给用户,并同时发短信;用户接到报警可以打开客户端并通过远程视频监控室内情况,控制机器人及时进行处理险情。项目优点在于将机器人、无线网络、云计算等新兴战略技术融入智慧家庭工程,系统实现了网络化、智能化、人性化工作模式。
[Abstract]:Aiming at the security requirement of intelligent home engineering, the key technology of remote security robot system design in wireless network and cloud computing environment is studied. First of all, the integration of WIFI short range wireless communication technology and remote network technology (WIFI / TCP / IP) is used in robot system communication, the system has strong function, and QT technology is used to design display interface to make operation, display more reasonable and humanized. The design concept of robot arm adopts flexible design technology, which makes it easy to pick up dangerous objects or detect dangerous situations. The project is integrated into cloud computing technology, using "Tencent cloud" to store valuable information, and the system is more scalable. The system test shows that when the home is unattended, the system actively turns on the security monitoring mode. When an accident occurs, the sensor sends the alarm data to the main control board for processing and then calls the user through the GPRS module and sends a short message at the same time; the user can open the client and monitor the indoor situation through remote video through the alarm. Control the robot to handle the danger in time. The advantages of the project are that the new strategic technologies, such as robots, wireless networks, cloud computing and so on, are integrated into the intelligent family project, and the system realizes the networked, intelligent and humanized work mode.
【作者单位】：广东海洋大学信息学院;
【基金】：广东海洋大学重大科研培养计划项目(GDOU2014050228) 广东省自然科学基金项目(S2012010008261,2015A030313617) 国家基金项目(61471133)
【分类号】：TP242

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