ICDO-RBF multi-sensor data fusion method for agricultural greenhouse environment

• Main Authors: LUO HUANZHI, WANG TENG, LIU ZHENLONG, HE ZIHAO, CHEN JIANAN, LI YUYANG, WANG JI, FU LEI, WU HONGEN, ZHOU TAO, MAI RENGUI
• Format: Patent
• Language: Chinese; English
• Published: 26.07.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides an ICDO-RBF multi-sensor data fusion method for an agricultural greenhouse environment. The ICDO-RBF multi-sensor data fusion method comprises the steps of obtaining multi-sensor data of the agricultural greenhouse environment to be fused; inputting the to-be-fused multi-sensor data into a preset fusion model to obtain a multi-sensor data fusion result; wherein the fusion model is constructed based on an optimized radial basis function neural network and is obtained by training through a data set, and the data set comprises outdoor atmosphere data and indoor temperature and humidity data. The multi-sensor data fusion method provided by the invention is high in precision, low in relative error and good in robustness. 本发明提出了面向农业温室环境的ICDO-RBF多传感器数据融合方法，包括：获取待融合的农业温室环境的多传感器数据；将待融合的所述多传感器数据输入至预设的融合模型，获取多传感器数据融合结果；其中，所述融合模型基于优化的径向基函数神经网络构建，并通过数据集进行训练获得，所述数据集包括：室外大气数据和室内温湿度数据。本发明所提出的多传感器数据融合方法精度高，相对误差低，稳健性好。