基于iOS的棉蚜虫害信息采集与主动服务系统研发

发布时间：2018-03-14 22:33

本文选题：iOS　切入点：棉蚜　出处：《石河子大学》2016年硕士论文　论文类型：学位论文

【摘要】：针对棉蚜虫害信息采集、统计、分析、预测效率低、时效性差等问题,本论文以新疆生产建设兵团第七师一二五团为研究区,以棉蚜虫害的信息采集和主动服务作为研究对象,收集了研究区2004—2013年气象资料和棉蚜虫害发生数据,运用统计分析方法、相关性分析方法和多元回归分析方法对棉蚜虫害发生等级和气象资料进行了分析,并运用Oracle技术建立了研究区棉蚜虫害的空间和属性数据库,采用iOS平台和移动GIS技术开发了基于iOS的棉蚜虫害信息采集和主动服务系统,实现了主动向农技人员提供推送服务,结果显示:(1)统计分析显示研究区棉蚜发生呈现三个阶段:发生期、高峰期和衰退期,相关性分析显示影响棉蚜发生等级的主要气象因子是温度和湿度,但二者与棉蚜阶段发生等级之间的线性相关关系不明显。构建温湿系数,对温湿系数的自然对数与棉蚜发生等级进行回归,表明发生期阶段内棉蚜的发生等级与相对温湿系数的自然对数呈线性关系,高峰期、衰退期阶段内棉蚜的发生等级与直接温湿系数的自然对数呈线性关系。(2)论文运用移动GIS技术,以iOS为平台,开发了面向苹果手机的棉蚜虫害采集系统,农技人员使用该系统可以加载离线地图,并拥有定位功能,直接在地图上显示当前位置,同时实现点、面数据采集,采集完毕后可以将数据传送到服务端,为空间分析提供数据基础。(3)论文从Oracle空间数据库提取数据并进行了反距离插值分析、分组分析和热点分析。运用反距离插值分析计算出了整个研究区的所有条田块的棉蚜虫害发生等级;在此基础上,分别进行分组分析和热点分析,研究了棉蚜虫害的空间聚集性以及棉蚜虫害发生的热点区域,为棉蚜虫害的监测和防治提供了基础。(4)论文对所有条田块的棉蚜虫害发生等级与经济阈值进行了比较,对每个农技人员进行推送,通知其各自条田未来棉蚜虫害的发生发展趋势,对触发经济阈值的条田块的所属用户进行推送,通知其及时对棉蚜虫害进行防治。研究区初步应用表明棉蚜虫害发生等级预报模型可以满足棉蚜虫情的预报,农技人员利用该系统可实时掌握棉蚜虫害的发生等级,全面了解棉蚜虫害的发生情况,并可通过推送及时获取棉蚜虫害的发展趋势。系统操作简单、高效便捷、实时性强,可为棉蚜虫害的监测和预警提供参考。
[Abstract]:Aiming at the problems of cotton aphid pest information collection, statistics, analysis, low forecasting efficiency and poor time-efficiency, this paper took the 125 regiment of Xinjiang production and Construction Corps 7th as the research area, and took the information collection and active service of cotton aphid as the research object. The meteorological data and pest occurrence data of cotton aphids from 2004 to 2013 in the study area were collected. The occurrence grades and meteorological data of cotton aphid pests were analyzed by means of statistical analysis, correlation analysis and multivariate regression analysis. The spatial and attribute database of cotton aphid damage was established by using Oracle technology, and the information collection and active service system of cotton aphid pest based on iOS was developed by using iOS platform and mobile GIS technology. The results showed that there were three stages in the occurrence of cotton aphid in the study area: occurrence period, peak period and decline period. The correlation analysis showed that the main meteorological factors affecting the occurrence grade of cotton aphid were temperature and humidity. But the linear correlation between the two factors and the occurrence grade of cotton aphid was not obvious. The natural logarithm of temperature and humidity coefficient and the rank of occurrence of cotton aphid were regressed by constructing the coefficient of temperature and humidity. The results showed that the occurrence grade of cotton aphid was linearly related to the natural logarithm of relative temperature and humidity coefficient during the period of occurrence, and the peak period was observed. The natural logarithm of direct temperature and humidity coefficient was linearly related to the occurrence grade of cotton aphid during the period of decline. (2) using mobile GIS technology and iOS as the platform, a cotton aphid pest collection system for apple cell phone was developed. Using the system, agricultural technicians can load off-line maps and have the function of locating, displaying the current position directly on the map, and at the same time realizing the data collection of points and surfaces, after which the data can be transferred to the server. This paper extracts data from Oracle spatial database and carries out inverse distance interpolation analysis. Group analysis and hot spot analysis. By using the inverse distance interpolation analysis, we calculated the occurrence levels of cotton aphid pests in all fields in the whole research area. On this basis, we carried out grouping analysis and hot spot analysis respectively. The spatial aggregation of cotton aphid damage and the hot spots of cotton aphid pest occurrence were studied, which provided the basis for monitoring and control of cotton aphid pest. The paper compared the occurrence grade and economic threshold of cotton aphid pest in all fields. To push each agricultural technician, inform them of the development trend of cotton aphids in the future in their respective fields, and push the users of the strip fields that trigger the economic threshold, The preliminary application in the research area shows that the forecast model of cotton aphid occurrence grade can satisfy the forecast of cotton aphid situation, and the agricultural technicians can grasp the occurrence grade of cotton aphid pest in real time by using this system. The development trend of cotton aphids damage can be obtained by push. The system is simple, efficient, convenient and real-time. It can provide reference for monitoring and early warning of cotton aphids damage.
【学位授予单位】：石河子大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：S435.622.1;S126

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