基于虚拟现实的通信设备运行状态智能监测系统

Intelligent Operation State Monitoring System of Communication Equipment Based on Virtual Reality

为了减小通信设备状态监测偏差,提升对通信设备并行在线状态下的监测效果,文章基于虚拟现实技术设计了一种新的通信设备状态智能监测系统。系统硬件设计方面,以ARM芯片为核心,STIM模块用于连接传感器并传输状态信息,使用RKG1441D型微处理器装载嵌入式系统,实现远程终端通信。系统软件设计方面,通过高斯滤波器影响图像融合,运用自适应粒子群算法找到高斯滤波器的最佳频率。采用梯度较大的融合规则,提取高低频中的源图像特征信息进行图像融合。运用虚拟现实技术与用户实时交互,从各个角度对场景进行实时渲染。提取特征对应具体的状态等级,建立决策树来获取监控异常信息,从而达到智能监测目的。由测试结果可知,十次实验的平均监测偏差均在0.30~0.33之内,符合预期目标,经过监测发现未存在被覆盖的时段,有效降低通信设备并行在线状态监测的时间复杂度,达到良好的监测性能。

In order to reduce the state monitoring deviation of communication equipment and improve the monitoring effect on the parallel online state of communication equipment,this pa-per designs a new intligent state monitoring system of communication cquipment state based on virtual reality technology.In terms of system hardware design,with the ARM chip as the core,the STIM module is used to conncct scnsors and transmit status information,and the RKG1441D-type microprocessor is used to load the embedded system to realize remote terminal communication.In terms of system software design,the Gaussian filter affects the image fusion and finds the best Gaussian filter frequency by using the adaptive particle swarm algorithm.The fusion rule with a large gradicnt is used to extract thc sourcc image feature information in high and low frequencies for image fusion.Using virtual reality technology to interact with users in real time,rendering the scene from all angles.The features are extracted corresponding to the specific state levels,and a decision tree is established to obtain the monitoring abnormal informa-tion,so as to achieve the purpose of intelligent monitoring.According to the test results,the av-erage monitoring deviation of the ten experiments is within 0.30~0.33,which meets the ex-pected target.After monitoring,it is found that there is no covered period of the time,which ef-fectively reduces the time complexity of parallel online state monitoring of communication c-quipment and achieves good monitoring performance.