基于边缘计算的中低压配电网多类型传感器接入技术

Multi-type Sensor Access Technology for Medium and Low Voltage Distribution Network Based on Edge Computing

针对中低压配电网中存在传感器繁多、信息量大且复杂的问题,该文引入了新型的数据算法。该算法应用了多传感器数据边缘融合技术,对配电网中孤立开的传感器感测数据进行融合,在应用时,在中低压配电网中不同的位置布置边缘设备,实现中低压配电网运行数据的及时采集、分析和传递,有效地实现了近邻计算。该设备具有超强的64位ARMv8处理器,支撑BCM43143WiFi和低功耗蓝牙工作的多个接口,并引入了计算即服务的计算模型,能够有效地评估CPU工作能耗和边缘计算时间之间的关系。基于此,该研究还构建出包括传感数据层、信息融合层、云计算数据层、数据传递层和数据应用层的应用系统。试验表明,该研究的方案比常规人工方法效率高1000倍以上。

Aiming at the problems of large number of sensors,large amount of information and complexity in the medium and low voltage distribution network,a new data algorithm is introduced.This algorithm uses the multi-sensor data edge fusion technology to fuse the isolated sensor sensing data in the distribution network.In the application,the edge equipment is arranged at different positions in the medium and low voltage distribution network to realize the medium and low voltage distribution network The timely collection,analysis and transmission of operating data effectively realizes the calculation of neighbors.The device has a powerful 64-bit ARMv8 processor,supports multiple interfaces for BCM43143WiFi and Bluetooth low energy work,and introduces a computing-as-a-service computing model that can effectively evaluate the difference between CPU operating energy consumption and edge computing time relationship.Based on this,this study also constructed an application system including sensor data layer,information fusion layer,cloud computing data layer,data transfer layer and data application layer.Tests show that the scheme of this study is more than 1000 times more efficient than conventional manual methods.