具有支持向量机优化算法的福州内河水质评价系统研究  

Study on Water Quality Evaluation System of Fuzhou Inland River with Support Vector Machine Optimization Algorithm

作　　者：陈硕 吴翔 张泓昱 潘洁 张祖昌 CHEN Shuo;WU Xiang;ZHANG Hongyu;PAN Jie;ZHANG Zuchang(Minjiang University,Fuzhou,Fujian 350108,China;Fuzhou Mechanical and Electrical Engineering Vocational technical School,Fuzhou,Fujian 350009,China)

机构地区：[1]闽江学院,福建福州350108 [2]福州机电工程职业技术学校,福建福州350009

出　　处：《福建农机》2022年第3期38-41,50,共5页Fujian Agricultural Machinery

基　　金：财政部中央引导地方科技发展专项项目(2019L3009);大学生创新创业训练计划项目(202110395010);闽江学院校长基金项目(2020J02045)。

摘　　要：随着福州市发展建设的推进,福州内河水环境不断恶化,亟需及时掌握福州内河水环境的水质状况,从而进行水质优化的干预。文章研究具有支持向量机优化算法的福州内河水质评价系统。首先进行水质信号检测的硬件设计,采用可编程逻辑控制器(PLC)通过485通讯协议采集到水质信号,通过网络终端实时远传至终端电脑;接着,采用Python语言实现支持向量机优化算法的软件设计,最终实时研判水质情况,防范水质的污染恶化。With the development and construction of Fuzhou,the river environment in Fuzhou is deteriorating.It is urgent to grasp the water quality of Fuzhou inner river environment in time so as to intervene in water quality optimization.This paper studies the water quality evaluation system of Fuzhou inland river with support vector machine optimization algorithm.First of all,the hardware design of water quality signal detection,using programmable logic controller(PLC)through 485 communication protocol to collect water quality signal,through the Internet of things device real-time remote transmission to the terminal computer;Then,Python language is used to realize the software design of support vector machine optimization algorithm,and finally the real-time evaluation of water quality,to prevent the deterioration of water pollution.

关 键 词：福州内河 水质 支持向量机 PYTHON 

分 类 号：X824[环境科学与工程—环境工程] TP311[自动化与计算机技术—计算机软件与理论]