摘要
针对传统植物景观空间层次化规划系统数据吞吐量偏小的问题,设计大数据下植物景观空间层次化规划系统。该系统选用MSO430系列的单片机作为管控核心发布各项程序指令,数据采集器收集植物景观数据,传感器将得到的结果上传到数据处理单元,以此构成规划系统硬件体系。采用大数据分析算法对景观中的植物和空间结构数据进行采集、筛选,并根据植物属性设置判别函数。根据植物在地平面、垂直面和顶平面的生长态势设置景观空间层次,以此建立一个植物景观模型。实验结果表明,所设计的植物景观规划系统数据净吞吐量大于传统规划系统,该植物景观规划系统获取、处理数据的能力更强。
A plant landscape spatial hierarchical planning system processing big data is designed since the data throughput of traditional plant landscape spatial hierarchical planning system is small. In the system,the MCU of MSO430 series is used as the management and control core to issue various program instructions,the data collector is used to collect plant landscape data,and the sensor is adopted to upload the collected results to the data processing unit,so as to constitute the hardware system of the planning system. The plant and spatial structure data in the landscape are collected and filtered by means of the big data analysis algorithm. The discrimination function is set according to the plant attributes. The landscape spatial hierarchy is set according to the growth situation of plants on the ground,vertical plane and top plane to establish a plant landscape model.The experimental results show that the net data throughput of the designed plant landscape planning system is larger than that of the traditional planning system, and the plant landscape planning system has stronger ability of data acquisition and data processing.
作者
宋全昌
SONG Quanchang(Guilin University of Aerospace Technology,Guilin 541004,China)
出处
《现代电子技术》
北大核心
2020年第10期100-102,107,共4页
Modern Electronics Technique
基金
国家自然科学基金项目(51601044)。
关键词
植物景观
空间层次规划
系统设计
数据处理
大数据分析
景观模型
plant landscape
spatial hierarchical planning
system design
data processing
big data analysis
landscape model
