微型电脑应用

输电线路周边的环境较为复杂，以保障输电线路安全，防止输电线路故障产生为目的，研究基于多源数据融合技术的输电线路安全监控方法。在输电线路监控点设置不同类型传感器，采用分布式多点测量方式，获取输电线路监测数据。将同类传感器所采集的数据划分为两份，对每份数据实施自适应加权融合，利用加权融合算法对同类传感器数据实施一级加权融合；采用BP神经网络对数据一级融合结果进行二级融合，在确定输入层、隐含层、输出层节点数量与各函数后，通过数据训练获取全局融合结果，输出输电线路安全状态。实验结果表明，该方法在加权因子为0.3、隐含层节点数量为6的条件下，可获取最优监控结果，并显著降低输电线路故障率。

The environment around the transmission line is complex. For the purpose of ensuring the safety of the transmission line and preventing transmission line faults, the transmission line safety monitoring method based on multi-source data fusion technology is studied. Different types of sensors are set at the transmission line monitoring points, and the distributed multi-point measurement method is adopted to obtain the transmission line monitoring data. The data collected by similar sensors are divided into two parts, adaptive weighted fusion is implemented for each data, weighted fusion algorithm is used to implement one-level weighted fusion for similar sensor data, and BP neural network is used to fuse the first level data fusion results. After determining the numbers of nodes and functions of input layer, hidden layer and output layer, the global fusion results are obtained through data training, and the safety status of transmission lines is output. The experimental results show that this method can obtain the optimal monitoring results and significantly reduce the transmission line fault rate when the weighting factor is 0.3 and the number of hidden layer nodes is 6.