摘要
园林绿化的墒情监测是实现智能养护的关键环节。粗放的灌溉方式不仅不利于作物生长,而且会造成水资源的浪费。通过数据分析,确定了气温、风速、降雨和气压等土壤墒情影响因子,并拟合出了相关系数。利用回归分析方法,构建了适用于赤峰市的土壤墒情预测模型。在此基础上,开发了智能喷淋控制系统,并成功应用于赤峰市中心城区市政园林绿化工程中。实践证明,该系统具有土壤墒情的实时监测、发展趋势预测和智能喷淋控制等功能,无需人工干预即可实现对土壤墒情的智能调控。未来,针对不同地区和不同绿化特点,对该系统模型进行校准后,将可实现园林绿化更精细化、更智能的养护。
The monitoring of soil moisture content in landscaping is a key link in realizing intelligent maintenance.Extensive irrigation methods are not only adverse to crop growth,but also waste of water resources.Through data analysis,the influencing factors of soil moisture such as air temperature,wind speed,rainfall and air pressure are determined to fit the correlation coefficients.A soilmoisture prediction model suitable for Chifeng City is constructed by regression analysis method.On this basis,an intelligent sprinkler control system is developed and successfully applied to the municipal landscaping and greening project in the central urban area of Chifeng.Practice has showed that this system has functions of real-time monitoring of soil moisture,prediction of development trends and intelligent spraying control.It can achieve intelligent regulation of soil moisture without manual intervention.According to different regions and greening characteristics,that the calibrated system model will help to achieve more refined and intelligent maintenance of garden greening inn the future.
作者
张松
孟均
卢晓国
牛存良
郭云飞
姚艺
Zhang Song;Meng Jun;Lu Xiaoguo;Niu Cunliang;Guo Yunfei;Yao Yi(Beijing Municipal Bridge Maintenance Management Group Co.,Ltd.,Beijing 100097,China;Hebei Wenan Daliuhe Town Government,Langfang 065800,China;Beijing Guangya Municipal Engineering Co.,Ltd.,Beijing 100097,China)
出处
《市政技术》
2023年第5期66-71,78,共7页
Journal of Municipal Technology
关键词
墒情监测
智能养护
预测模型
智能喷淋控制系统
soil moisture monitoring
intelligent maintenance
prediction model
intelligent sprinkler control system
