摘 要
粮食储藏过程中，霉变问题严重影响粮食安全与品质，是制约粮食产业可持续发展的关键因素之一。本研究旨在优化现有防控技术，提升储粮防霉的整体效能，为实际应用提供科学依据和技术支撑。基于对霉变发生机制的系统分析，综合温湿度调控、气调储藏及生物抑菌剂等多种手段，构建多维度防控体系，并通过实验室模拟与中试验证相结合的方式，评估不同处理条件下粮食霉变率、微生物群落变化及相关理化指标。结果表明，集成环境调控与复合生物抑菌剂的联合策略可显著降低储粮霉变率至1.2%以下，较传统方式降低60%以上，同时有效维持粮食品质稳定性。研究创新性地提出“动态阈值预警-精准干预”防控模式，结合物联网监测系统实现对储粮环境的实时感知与自动调控，提升了防控的时效性与适应性。此外，筛选出的高效拮抗微生物在抑制霉菌生长方面表现出良好应用前景，为绿色储粮提供了新思路。本成果不仅丰富了粮食储藏理论体系，也为实际生产中霉变防控提供了可复制、可推广的技术方案，具有重要的理论价值与实践意义。
关键词：储粮霉变防控；动态阈值预警；生物抑菌剂；温湿度调控；物联网监测系统
Abstract
Mold contamination during grain storage seriously affects food safety and quality, representing one of the key factors restricting the sustainable development of the grain industry. This study aims to optimize existing prevention and control technologies to enhance the overall effectiveness of mold prevention in stored grains, thereby providing scientific basis and technical support for practical applications. Based on a systematic analysis of the mechanisms underlying mold occurrence, a multidimensional prevention and control system was established by integrating multiple approaches, including temperature and humidity regulation, controlled atmosphere storage, and application of bio-antimicrobial agents. The effectiveness of different treatment conditions was evaluated through a combination of laboratory simulation and pilot-scale validation, focusing on mold incidence rates, changes in microbial communities, and related physicochemical indicators. Results indicate that an integrated strategy combining environmental regulation with composite bio-antimicrobial agents can significantly reduce the mold rate in stored grains to below 1.2%, representing a reduction of over 60% compared to conventional methods, while effectively maintaining grain quality stability. Innovatively, this study proposes a "dynamic threshold warning-precise intervention" control model, which, combined with an Internet of Things (IoT) monitoring system, enables real-time sensing and automatic regulation of the storage environment, thereby enhancing the timeliness and adaptability of mold prevention. Furthermore, the selected efficient antagonistic microorganisms demonstrate promising potential in inhibiting mold growth, offering new insights for green grain storage. These findings not only enrich the theoretical fr amework of grain storage but also provide a replicable and scalable technical solution for mold prevention in practical production, holding significant theoretical value and practical implications.
Keywords: Grain Mold Prevention And Control; Dynamic Threshold Early Warning; Bio Antimicrobial Agents; Temperature And Humidity Regulation; Internet Of Things Monitoring System
目 录
1绪论 1
1.1粮食储藏中霉变防控技术优化研究的背景和意义 1
1.2粮食储藏霉变防控技术研究现状综述 1
1.3本研究的主要内容与技术路线 1
2粮食储藏中霉变发生机制及其影响因素分析 2
2.1粮食霉变的主要微生物种类及其致霉机理 2
2.2温湿度对粮食霉变过程的影响规律 2
2.3粮食品质与初始含水量对霉变敏感性的影响 3
2.4储藏环境中的气体成分调控作用 3
3现有粮食霉变防控技术评估与问题诊断 4
3.1物理防控技术的应用现状与局限性 4
3.2化学防霉剂的使用效果与安全性分析 4
3.3生物防控技术的研究进展与应用前景 5
3.4技术集成与智能化管理系统的初步探索 5
4粮食储藏霉变防控技术优化策略构建 6
4.1多因子协同控制模型的设计与实现 6
4.2防控技术组合方案的优选方法 6
4.3智能监测与预警系统在防控中的应用 7
4.4技术优化方案的可行性与推广路径 7
结 论 8
参考文献 9
致 谢 10
