输变电工程生态环境预警系统研究

Research on eco-environmental early warning system of power transmission and transformation project

为降低生态环境因素对输变电工程建设的影响,设计基于物联网感知的输变电工程生态环境预警系统,以期通过精准的传感数据融合提升预警效果。系统通过感知层的小型气象站、边坡检测仪、沉降仪、水位以及温湿度传感器感知数据信息,通过传输层网络将数据传输到云平台的多源数据库中。采用自适应加权融合算法,融合多传感器信息,将融合结果传输至应用服务层的手机终端APP,在手机APP预警界面中,通过可视化查询生态环境相关预警信息,获取预警结果,实现输变电工程生态环境预警。实验结果表明,该预警系统可通过手机APP清晰、直观地获得预警地的实时详细预警数据,且多传感器数据融合误差范围小,趋于稳定状态,预警正确率可达87.57%,预警结果具备较高的可信度。

In order to reduce the impact of ecological environmental factors on the construction of power transmission and transformation projects,a power transmission and transformation project ecological environment early warning system was based on the perception of the Internet of Things was designed to improve the early warning effect through accurate sensor data fusion.The system sensed data information through small weather stations,slope detectors,sedimentation meters,water level,and temperature and humidity sensors on the perception layer,and transmitted the data to the multi-source database of the cloud platform through the transmission layer network.The adaptive weighted fusion algorithm was used to fuse multi-sensor information,and the fusion result was transmitted to the mobile terminal APP of the application service layer.In the mobile phone APP warning interface,the early warning information related to the ecological environment was visually inquired to obtain the warning result,and the power transmission and transformation project was realized.Early warning of ecological environment.The experimental results showed that the early warning system could clearly and intuitively obtain the real-time detailed early warning data of the early warning area through the mobile phone APP.In addition,the multi-sensor data fusion had a small error range and tends to be stable.The correct rate of early warning could reach 87.57%,and the early warning result had a high degree of credibility.