本文選題：物聯(lián)網(wǎng) + 應(yīng)急信息系統(tǒng)��； 參考：《華南理工大學(xué)》2015年碩士論文

【摘要】：化工園區(qū)內(nèi)大量危險(xiǎn)物質(zhì)及工藝裝置聚集,潛在事故風(fēng)險(xiǎn)拓展由點(diǎn)及面。傳統(tǒng)風(fēng)險(xiǎn)的管控技術(shù)存在監(jiān)控覆蓋面窄、實(shí)時(shí)信息共享不足、數(shù)據(jù)服務(wù)表觀化、研判策略經(jīng)驗(yàn)化等局限性。采用現(xiàn)代物聯(lián)網(wǎng)技術(shù),構(gòu)建數(shù)據(jù)驅(qū)動(dòng)的、面向態(tài)勢(shì)感知的應(yīng)急信息系統(tǒng),對(duì)提升區(qū)域風(fēng)險(xiǎn)管控及事故應(yīng)急一體化、集成化水平具有重要意義。本文以化工園區(qū)區(qū)域性事故災(zāi)害預(yù)防及應(yīng)急一體化管控為核心目標(biāo),以態(tài)勢(shì)信息流作為研究主線,結(jié)合物聯(lián)網(wǎng)技術(shù)優(yōu)勢(shì)與態(tài)勢(shì)感知理論指導(dǎo),選取危險(xiǎn)物質(zhì)泄漏擴(kuò)散事故場(chǎng)景進(jìn)行態(tài)勢(shì)感知及其信息支持系統(tǒng)的研究與開(kāi)發(fā)。主要研究?jī)?nèi)容如下:(1)化工園區(qū)事故態(tài)勢(shì)感知技術(shù)需求分析�；趹B(tài)勢(shì)感知信息模型,采用數(shù)據(jù)驅(qū)動(dòng)的需求分析方法,識(shí)別化工園區(qū)事故態(tài)勢(shì)感知在數(shù)據(jù)采集、數(shù)據(jù)挖掘、數(shù)據(jù)集成等技術(shù)層面的關(guān)鍵需求,即分布式聯(lián)網(wǎng)數(shù)據(jù)采集、智能事故態(tài)勢(shì)分析及園區(qū)級(jí)集成應(yīng)用平臺(tái)。(2)化工園區(qū)聯(lián)網(wǎng)數(shù)據(jù)采集與監(jiān)測(cè)技術(shù)方案設(shè)計(jì)�；谖锫�(lián)網(wǎng)感知層與網(wǎng)絡(luò)層技術(shù),確定監(jiān)測(cè)終端部署、通信傳輸組網(wǎng)、數(shù)據(jù)集中采集策略。通過(guò)構(gòu)建化工園區(qū)安全監(jiān)控小型試驗(yàn)平臺(tái),開(kāi)發(fā)數(shù)據(jù)集中采集與前端監(jiān)測(cè)預(yù)警程序,為園區(qū)級(jí)應(yīng)急信息在線服務(wù)平臺(tái)的原型系統(tǒng)開(kāi)發(fā)提供底層技術(shù)支持。(3)危險(xiǎn)物質(zhì)泄漏擴(kuò)散事故態(tài)勢(shì)研判技術(shù)研究。包括事故源參數(shù)反演和事故模式識(shí)別技術(shù)。當(dāng)事故模式已知時(shí),基于擴(kuò)散濃度場(chǎng)擬合原理,結(jié)合監(jiān)測(cè)數(shù)據(jù)及經(jīng)典擴(kuò)散后果模型,構(gòu)建參數(shù)優(yōu)化求解模型,反向演算包括事故源位置、源強(qiáng)等在內(nèi)的關(guān)鍵源項(xiàng)參數(shù);當(dāng)事故模式未知時(shí),將監(jiān)測(cè)數(shù)據(jù)分別與不同泄漏擴(kuò)散模式及其后果模型進(jìn)行優(yōu)化搜索與匹配分析,從而確定最佳匹配的事故模型進(jìn)行參數(shù)反演。通過(guò)數(shù)值仿真實(shí)驗(yàn)說(shuō)明其可行性與有效性,并從準(zhǔn)確性、穩(wěn)健性與計(jì)算效率等方面對(duì)方法性能加以分析。(4)基于WEB的化工園區(qū)應(yīng)急信息服務(wù)平臺(tái)開(kāi)發(fā)。采用MVC模式的Struts2+Spring+Hibernate+Ajax框架,綜合運(yùn)用主流Java Web開(kāi)發(fā)技術(shù),構(gòu)建覆蓋全區(qū)域、遠(yuǎn)程聯(lián)網(wǎng)、實(shí)時(shí)動(dòng)態(tài)的園區(qū)級(jí)應(yīng)急信息在線共享與集成應(yīng)用平臺(tái),重點(diǎn)開(kāi)發(fā)了應(yīng)急值守管理和應(yīng)急監(jiān)測(cè)預(yù)警2個(gè)子系統(tǒng),共含11個(gè)功能模塊。
[Abstract]:A large number of hazardous substances and process equipment are gathered in the chemical park, and the potential accident risk is expanded from point and surface. The traditional risk management technology has some limitations, such as narrow monitoring coverage, lack of real-time information sharing, apparent data service, empirical research strategy, and so on. Using modern Internet of things technology to construct data-driven and situation-oriented emergency information system is of great significance to improve the integration of regional risk management and accident emergency. This paper takes the regional accident disaster prevention and emergency management and control as the core goal, taking the situation information flow as the main line of study, combining with the technology advantage of the Internet of things and the guidance of situation awareness theory. The situation awareness and information support system of hazardous substance leakage and diffusion accident were studied and developed. The main research contents are as follows: 1) Analysis of the technical requirements of accident situational awareness in the Chemical Industry Park. Based on the situation awareness information model and using the data-driven requirement analysis method, the key requirements of the accident situation awareness in the chemical industry park are identified in the aspects of data acquisition, data mining, data integration and so on, that is, distributed networked data acquisition. Intelligent accident situation analysis and integrated application platform. Based on the technology of the perception layer and the network layer of the Internet of things, the monitoring terminal deployment, the communication transmission network and the data collection strategy are determined. By constructing a small test platform for safety monitoring in chemical industry park, the program of centralized data collection and front-end monitoring and warning is developed. It provides the underlying technical support for the development of the prototype system of the online emergency information service platform at the park level. Including accident source parameter inversion and accident pattern recognition technology. When the accident mode is known, based on the fitting principle of diffusion concentration field, combined with the monitoring data and the classical diffusion consequence model, the parameter optimization solution model is constructed, and the key source parameters including the location of the accident source and the source strength are calculated by reverse calculus. When the accident mode is unknown, the monitoring data are optimized and analyzed with different leakage and diffusion models and their consequence models, and then the optimal matching accident model is determined for parameter inversion. The feasibility and effectiveness of the method are illustrated by numerical simulation experiments. The performance of the method is analyzed from the aspects of accuracy, robustness and calculation efficiency.) the emergency information service platform of chemical industry park based on Web is developed. Adopting Struts2 Spring hibernate Ajax framework of MVC pattern, synthetically using mainstream Java web development technology, constructing the on-line sharing and integration application platform of emergency information at the campus level, covering the whole area, remote networking and real-time dynamic. Two subsystems of emergency duty management and emergency monitoring and warning are developed, which contain 11 functional modules.
【學(xué)位授予單位】：華南理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：TP391.44;TN929.5;TQ086

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