【摘要】：目前,水資源問題已經(jīng)成為聯(lián)合國環(huán)境規(guī)劃署和世界衛(wèi)生組織強(qiáng)調(diào)的一個重大全球性問題。我國的水資源問題更加嚴(yán)峻,尤其是水資源短缺和水污染嚴(yán)重等問題更加突出,已經(jīng)嚴(yán)重影響到我國經(jīng)濟(jì)的可持續(xù)發(fā)展。建設(shè)智能化的水質(zhì)監(jiān)控及預(yù)警軟件,可以有效的解決我國的水資源問題,提升國民的生活質(zhì)量。然而,我國現(xiàn)有的水質(zhì)監(jiān)控系統(tǒng),大部分使用的水質(zhì)分析方法比較落后,監(jiān)控系統(tǒng)也只能實(shí)現(xiàn)半自動化,導(dǎo)致對水質(zhì)的監(jiān)控需要浪費(fèi)大量的人力物力。在充分分析我國水域分布廣泛、水污染嚴(yán)重的基本水情以及充分利用現(xiàn)代信息技術(shù)的情況下,設(shè)計(jì)并實(shí)現(xiàn)更加智能化、更強(qiáng)實(shí)時性和分析預(yù)測一體化的水質(zhì)監(jiān)控軟件。該軟件能夠?qū)崿F(xiàn)對水質(zhì)信息的連續(xù)采集,由軟件自動分析預(yù)測水質(zhì)情況并能夠通過設(shè)置預(yù)警線實(shí)現(xiàn)自動報警功能,并且創(chuàng)新實(shí)現(xiàn)了具有更高并發(fā)性、更快傳輸速度和更加穩(wěn)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.研究和比較主流水質(zhì)分析方法,并且重點(diǎn)研究了利用光學(xué)分析水質(zhì)的相關(guān)方法,在已有研究成果的基礎(chǔ)上對光學(xué)分析中應(yīng)用最廣泛的洛倫茲—高斯光束的相關(guān)特性進(jìn)行了深入研究。通過對具有調(diào)制特點(diǎn)的洛倫茲—高斯光束聚焦特性的全面研究分析,在更加深入理解光學(xué)分析法的同時得出了重要的相關(guān)光學(xué)結(jié)論,并應(yīng)用到水質(zhì)監(jiān)控軟件中。2.運(yùn)用Java相關(guān)技術(shù),設(shè)計(jì)并實(shí)現(xiàn)水質(zhì)監(jiān)控及預(yù)警軟件。通過對軟件分層次設(shè)計(jì)和分模塊實(shí)現(xiàn),在詳細(xì)介紹軟件的設(shè)計(jì)流程之后,又對軟件主要模塊分別進(jìn)行了理論和實(shí)現(xiàn)過程的分析介紹,并詳述了軟件預(yù)警功能的設(shè)計(jì)和實(shí)現(xiàn)。3.利用Java NIO的通信方式實(shí)現(xiàn)了水質(zhì)監(jiān)控軟件的通信過程,并改進(jìn)了NIO通信中對緩沖區(qū)的內(nèi)存分配方式。通過使用本文提出的NIO通信算法,不僅極大的提高了軟件的并發(fā)量,而且軟件的運(yùn)行性能和穩(wěn)定性也得到了大幅度的提升。目前,本軟件已經(jīng)在相關(guān)公司投入使用,在公司的實(shí)際使用過程中可以看到:軟件運(yùn)行性能良好,可以支持高并發(fā),而且運(yùn)行穩(wěn)定,滿足了智能水質(zhì)監(jiān)控軟件的日常需求。
[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.
【學(xué)位授予單位】：杭州電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP311.52;TP277

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