基于Java的智能水质监控及预警软件设计与实现

发布时间：2019-03-16 08:06

【摘要】：目前,水资源问题已经成为联合国环境规划署和世界卫生组织强调的一个重大全球性问题。我国的水资源问题更加严峻,尤其是水资源短缺和水污染严重等问题更加突出,已经严重影响到我国经济的可持续发展。建设智能化的水质监控及预警软件,可以有效的解决我国的水资源问题,提升国民的生活质量。然而,我国现有的水质监控系统,大部分使用的水质分析方法比较落后,监控系统也只能实现半自动化,导致对水质的监控需要浪费大量的人力物力。在充分分析我国水域分布广泛、水污染严重的基本水情以及充分利用现代信息技术的情况下,设计并实现更加智能化、更强实时性和分析预测一体化的水质监控软件。该软件能够实现对水质信息的连续采集,由软件自动分析预测水质情况并能够通过设置预警线实现自动报警功能,并且创新实现了具有更高并发性、更快传输速度和更加稳定性的非阻塞式通信功能。本文的主要研究工作如下所示:1.研究和比较主流水质分析方法,并且重点研究了利用光学分析水质的相关方法,在已有研究成果的基础上对光学分析中应用最广泛的洛伦兹—高斯光束的相关特性进行了深入研究。通过对具有调制特点的洛伦兹—高斯光束聚焦特性的全面研究分析,在更加深入理解光学分析法的同时得出了重要的相关光学结论,并应用到水质监控软件中。2.运用Java相关技术,设计并实现水质监控及预警软件。通过对软件分层次设计和分模块实现,在详细介绍软件的设计流程之后,又对软件主要模块分别进行了理论和实现过程的分析介绍,并详述了软件预警功能的设计和实现。3.利用Java NIO的通信方式实现了水质监控软件的通信过程,并改进了NIO通信中对缓冲区的内存分配方式。通过使用本文提出的NIO通信算法,不仅极大的提高了软件的并发量,而且软件的运行性能和稳定性也得到了大幅度的提升。目前,本软件已经在相关公司投入使用,在公司的实际使用过程中可以看到:软件运行性能良好,可以支持高并发,而且运行稳定,满足了智能水质监控软件的日常需求。
[Abstract]:At present, the problem of water resources has become a major global problem emphasized by the United Nations Environment Programme (UNEP) and the World Health Organization (WHO). The problem of water resources in our country is more serious, especially in the shortage of water resources and serious water pollution, which has seriously affected the sustainable development of our economy. The construction of intelligent water quality monitoring and early warning software can effectively solve the problem of water resources in China and improve the quality of life of the people. However, most of the existing water quality monitoring systems in our country are backward in the methods of water quality analysis, and the monitoring system can only realize semi-automation, which leads to the waste of a lot of manpower and material resources in the monitoring of water quality. Based on the analysis of the basic water regime with wide distribution and serious water pollution in our country and the full use of modern information technology, a more intelligent, real-time and integrated water quality monitoring software is designed and realized. The software can realize the continuous collection of water quality information, automatically analyze and predict the water quality situation by the software, and realize the automatic alarm function by setting an early warning line, and innovatively realize the higher concurrency. Faster transmission speed and more stable non-blocking communication capabilities. The main research work of this paper is as follows: 1. This paper studies and compares the mainstream water quality analysis methods, and focuses on the related methods of optical analysis of water quality. The related characteristics of Lorentz-Gao Si beam, which is the most widely used in optical analysis, are deeply studied on the basis of the existing research results. Through a comprehensive study of the focusing characteristics of Lorentz-Gao Si beams with modulation characteristics, an important optical conclusion has been drawn while the optical analysis method is more deeply understood, and applied to the water quality monitoring software .2.2.By studying and analyzing the focusing characteristics of Lorentz-Gao Si beams with modulation characteristics. The software of water quality monitoring and early warning is designed and realized by using Java technology. After introducing the design flow of the software in detail, the main modules of the software are analyzed and introduced in theory and realization, and the design and realization of the early warning function of the software is described in detail. 3. The design and realization of the early warning function of the software are described in detail. The communication process of water quality monitoring software is realized by using the communication mode of Java NIO, and the memory allocation mode of buffer in NIO communication is improved. By using the NIO communication algorithm proposed in this paper, not only the concurrency of the software is greatly improved, but also the performance and stability of the software are greatly improved. At present, the software has been put into use in related companies, and it can be seen in the actual use of the company: the software runs well, can support high concurrency, and runs stably, which satisfies the daily demand of intelligent water quality monitoring software.
【学位授予单位】：杭州电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.52;TP277

【参考文献】