基于Django的小型规模化猪场管理系统的设计与实现

Design and implementation of a small scale pig farm management system based on Django

针对我国小型规模化养猪场饲养管理粗放,缺乏系统化、标准化和流程化管理等问题,基于结构化开发方法与面向对象的思想,笔者利用SQLite关系型数据库、Python编程语言、超文本标记语言(HTML)、层叠样式表单(CSS)、客户端脚本语言(JavaScript)等前端开发工具开发了基于Django框架的小型规模化猪场管理系统,包括基础数据管理、生猪管理、母猪管理、饲料管理、药品管理和环境监控6个基础模块及智能预警和统计分析两个重点模块,并于内蒙古农业大学海流图现代养猪场测试并试用。结果表明:该系统各功能模块运行稳定,可以为小型规模化猪场提供全面、高效的信息化管理平台,能实现养猪场各生产环节的信息化管理,同时对猪场生产数据进行动态分析,对猪场繁育环节进行智能预警提示,并提供智能化决策信息。说明该系统能提升精准管理能力,提高生产效率和经济效益。

In view of the extensive feeding management,lack of systematic,standardized,and process-oriented management of small-scale pig farms in China,based on the structured development approach and object-oriented thinking,the author used SQLite relational database,the Python language,HTML,CSS,JavaScript and other front-end development tools to develop a small scale pig farm management system based on Django framework.The management system had six basic modules,including basic data management,pig management,sow management,feed management,drug management,and environmental monitoring,as well as two key modules of intelligent early warning and statistical analysis.It had also been tested and tried in modern pig farm of Hailiutu of Inner Mongolia Agricultural University.The results showed that system’s functional modules were stable and could provide a comprehensive and efficient information management platform for small-scale pig farms.It could realize the information management of each production link of the pig farm and carried out dynamic analysis of pig farm production data at the same time,carried out intelligent early warning and prompted for pig breeding links,and provided intelligent decision-making information,which could enhance the precision management ability,improve production efficiency and economic benefits.