高放廢物地質(zhì)處置無線傳感器網(wǎng)絡(luò)應(yīng)用技術(shù)研究
發(fā)布時間：2019-04-02 19:06
【摘要】：我國高放廢物地質(zhì)處置庫選址研發(fā)進入選址關(guān)鍵性階段,已確定甘肅北山預(yù)選區(qū)為首選預(yù)選區(qū),需要對其地質(zhì)、水文地質(zhì)條件等預(yù)選場址評價因素進行詳細勘查。各部門和單位在北山地區(qū)采集了大量的地質(zhì)、物化探、水文、遙感等數(shù)據(jù),但在數(shù)據(jù)采集的過程中普遍存在自動化水平不高、數(shù)據(jù)時效性偏低、綜合利用率低等問題。在北山預(yù)選區(qū)開展的地下實驗室研究,需要部署大量多類型傳感器,將瞬時產(chǎn)生海量數(shù)據(jù),對數(shù)據(jù)采集、傳輸以及綜合管理技術(shù)提出了更高的要求。并且解決當(dāng)前數(shù)據(jù)采集工作存在的問題,也是為未來處置庫建造、運行等階段進行全面技術(shù)儲備。近年來無線傳感器網(wǎng)絡(luò)(Wireless Sensor Network,WSN)的應(yīng)用越來越廣泛,在國外已經(jīng)應(yīng)用于高放廢物處置領(lǐng)域。本論文探索將無線傳感器網(wǎng)絡(luò)技術(shù)引入到我國北山預(yù)選區(qū)的高放廢物地質(zhì)處置研發(fā)中。在充分調(diào)研相關(guān)資料的基礎(chǔ)上,針對當(dāng)前高放廢物地質(zhì)處置數(shù)據(jù)采集、傳輸、應(yīng)用技術(shù)的各種局限性,在無線傳感器網(wǎng)絡(luò)、GIS術(shù)、數(shù)據(jù)庫等技術(shù)的支撐下,探索如何在北山地區(qū)建立一套可靠高效的無線傳感器網(wǎng)絡(luò)體系(HLW-WSN)。實現(xiàn)高放廢物地質(zhì)處置數(shù)據(jù)的準(zhǔn)確采集、高效傳輸和現(xiàn)場應(yīng)用,從而為管理者的決策支持提供強有力的數(shù)據(jù)支撐和技術(shù)支撐。本論文對以下研究內(nèi)容進行了初步論述:(1)北山預(yù)選區(qū)無線傳感器網(wǎng)絡(luò)應(yīng)用解決方案將無線傳感器網(wǎng)絡(luò)分為了傳感器層、數(shù)據(jù)接入層、數(shù)據(jù)存儲層、平臺服務(wù)層和應(yīng)用層五部分。提出通過傳感器數(shù)據(jù)采集網(wǎng)絡(luò)、現(xiàn)場監(jiān)測站、骨干網(wǎng)、場址數(shù)據(jù)中心等,實現(xiàn)無線傳感器網(wǎng)絡(luò)的五層結(jié)構(gòu),完成數(shù)據(jù)的自動采集、中遠程傳輸和現(xiàn)場應(yīng)用。(2)無線傳感器網(wǎng)絡(luò)數(shù)據(jù)壓縮技術(shù)的研究試驗了將輕量級時域壓縮算法(LTC)用于北山研究中產(chǎn)生的科研數(shù)據(jù)壓縮,結(jié)果表明該算法對于仿真數(shù)據(jù)和真實數(shù)據(jù)都取得了較理想的效果,并探討了算法改進方法,以拓展LTC算法的適應(yīng)性和通用性。(3)無線傳感器網(wǎng)絡(luò)中動態(tài)數(shù)據(jù)的管理技術(shù)研究提出北山預(yù)選區(qū)動態(tài)監(jiān)測數(shù)據(jù)庫開發(fā)的思路,采用PostgreSQL和Hadoop進行傳感器節(jié)點與節(jié)點數(shù)據(jù)的協(xié)同管理。并對數(shù)據(jù)庫結(jié)構(gòu)進行了概念、邏輯和物理設(shè)計,在PostgreSQL平臺中進行了綜合測試。(4)無線傳感器網(wǎng)絡(luò)計算機模擬技術(shù)及仿真根據(jù)在北山預(yù)選區(qū)將要部署的傳感器類型,仿真產(chǎn)生處置庫場址特性的時序數(shù)據(jù),通過虛擬傳感器節(jié)點和網(wǎng)絡(luò),對場址基站、傳感器網(wǎng)絡(luò)和存儲數(shù)據(jù)庫的數(shù)據(jù)交互進行了模擬。初步論證了傳感器組網(wǎng)的設(shè)計方案以及動態(tài)數(shù)據(jù)管理技術(shù)的可行性,據(jù)此進一步完善了動態(tài)數(shù)據(jù)庫結(jié)構(gòu)。通過對以上內(nèi)容的研究,提出了在北山地區(qū)部署無線傳感器網(wǎng)絡(luò)應(yīng)用的設(shè)計方案,并圍繞方案提出了較完善可行的實施細則。對無線傳感器網(wǎng)絡(luò)運行過程中產(chǎn)生的動態(tài)數(shù)據(jù)匯集、海量管理技術(shù)開展了前瞻性研究,對未來實際部署可能產(chǎn)生的問題有了預(yù)判,從多個方面對傳感器網(wǎng)絡(luò)進行了優(yōu)化設(shè)計,為未來在北山地區(qū)實際部署無線傳感器網(wǎng)絡(luò)提供了理論依據(jù)和技術(shù)支持。
[Abstract]:The site selection and development of the high-level waste geological disposal reservoir in China has entered the critical stage of the site selection. It has been determined that the pre-selected area of the north mountain of Gansu Province is the preferred pre-selected area, and it is necessary to carry out detailed investigation on the pre-selected site evaluation factors such as its geological and hydrogeological conditions. The departments and units have collected a lot of data such as geology, geophysical and geochemical exploration, hydrology and remote sensing in the Beishan area, but the problems of low level of automation, low data timeliness and low comprehensive utilization rate in the process of data acquisition. In the research of underground laboratory, which is carried out in the pre-selected area of Beishan, a large number of multi-type sensors are required to be deployed, so that the data can be generated instantaneously, and the data acquisition, transmission and integrated management technology are required. And the problem that the current data acquisition work exists is solved, and a comprehensive technical reserve is carried out for the construction and operation of the future disposal bank. In recent years, the application of Wireless Sensor Network (WSN) is becoming more and more extensive, and has been applied in the field of high-level waste disposal. The paper explores the introduction of the wireless sensor network technology into the research and development of high-discharge waste in the pre-selected area of Beishan. on the basis of full investigation of relevant data, various limitations of the data acquisition, transmission and application technology of the current high-level waste geological disposal data are carried out, and under the support of the wireless sensor network, the GIS operation, the database and the like, To explore how to establish a reliable and efficient wireless sensor network system (HLW-WSN) in Beishan area. The invention realizes the accurate collection, high-efficiency transmission and field application of the high-discharge waste geological disposal data, thereby providing strong data support and technical support for the decision support of the manager. This paper mainly discusses the following research contents: (1) The network application solution of the wireless sensor network in the north mountain pre-selection area divides the wireless sensor network into the sensor layer, the data access layer, the data storage layer, the platform service layer and the application layer five parts. The five-layer structure of the wireless sensor network is realized through the sensor data acquisition network, the field monitoring station, the backbone network, the site data center and the like, and the automatic acquisition, the remote transmission and the field application of the data are completed. (2) The research of the wireless sensor network data compression technology has tested the data compression of the research of the lightweight time-domain compression algorithm (LTC) in the research of Beishan, and the result shows that the algorithm has the ideal effect for both the simulation data and the real data. The improved method of the algorithm is also discussed in order to extend the adaptability and the universality of the LTC algorithm. (3) The management technology of dynamic data in the wireless sensor network puts forward the idea of the development of the dynamic monitoring database in the pre-selected area of the Beishan, and adopts PostgreSQL and Hadoop to carry out the cooperative management of the sensor nodes and the node data. The concept, logical and physical design of the database structure are given, and the comprehensive test is carried out in the PostgreSQL platform. (4) the wireless sensor network computer simulation technology and the simulation are used for simulating the time sequence data of the site characteristics of the disposal library according to the type of the sensor to be deployed in the north mountain pre-selection area, The sensor network and the data base of the storage database are simulated. The design scheme of the sensor network and the feasibility of the dynamic data management technology are proved, and the structure of the dynamic database is further improved. Through the research of the above contents, the design scheme of deploying wireless sensor network application in Beishan area is put forward, and the detailed implementation rules are put forward. the dynamic data collection and mass management technology generated during the operation of the wireless sensor network are collected, a prospective study is carried out on the mass management technology, the problem that the future actual deployment can be generated is prejudged, the sensor network is optimized and designed from a plurality of aspects, The paper provides the theoretical basis and technical support for the future of the wireless sensor network in the Beishan area.
【學(xué)位授予單位】：核工業(yè)北京地質(zhì)研究院
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：TL942.1;TP212.9;TN929.5
[Abstract]:The site selection and development of the high-level waste geological disposal reservoir in China has entered the critical stage of the site selection. It has been determined that the pre-selected area of the north mountain of Gansu Province is the preferred pre-selected area, and it is necessary to carry out detailed investigation on the pre-selected site evaluation factors such as its geological and hydrogeological conditions. The departments and units have collected a lot of data such as geology, geophysical and geochemical exploration, hydrology and remote sensing in the Beishan area, but the problems of low level of automation, low data timeliness and low comprehensive utilization rate in the process of data acquisition. In the research of underground laboratory, which is carried out in the pre-selected area of Beishan, a large number of multi-type sensors are required to be deployed, so that the data can be generated instantaneously, and the data acquisition, transmission and integrated management technology are required. And the problem that the current data acquisition work exists is solved, and a comprehensive technical reserve is carried out for the construction and operation of the future disposal bank. In recent years, the application of Wireless Sensor Network (WSN) is becoming more and more extensive, and has been applied in the field of high-level waste disposal. The paper explores the introduction of the wireless sensor network technology into the research and development of high-discharge waste in the pre-selected area of Beishan. on the basis of full investigation of relevant data, various limitations of the data acquisition, transmission and application technology of the current high-level waste geological disposal data are carried out, and under the support of the wireless sensor network, the GIS operation, the database and the like, To explore how to establish a reliable and efficient wireless sensor network system (HLW-WSN) in Beishan area. The invention realizes the accurate collection, high-efficiency transmission and field application of the high-discharge waste geological disposal data, thereby providing strong data support and technical support for the decision support of the manager. This paper mainly discusses the following research contents: (1) The network application solution of the wireless sensor network in the north mountain pre-selection area divides the wireless sensor network into the sensor layer, the data access layer, the data storage layer, the platform service layer and the application layer five parts. The five-layer structure of the wireless sensor network is realized through the sensor data acquisition network, the field monitoring station, the backbone network, the site data center and the like, and the automatic acquisition, the remote transmission and the field application of the data are completed. (2) The research of the wireless sensor network data compression technology has tested the data compression of the research of the lightweight time-domain compression algorithm (LTC) in the research of Beishan, and the result shows that the algorithm has the ideal effect for both the simulation data and the real data. The improved method of the algorithm is also discussed in order to extend the adaptability and the universality of the LTC algorithm. (3) The management technology of dynamic data in the wireless sensor network puts forward the idea of the development of the dynamic monitoring database in the pre-selected area of the Beishan, and adopts PostgreSQL and Hadoop to carry out the cooperative management of the sensor nodes and the node data. The concept, logical and physical design of the database structure are given, and the comprehensive test is carried out in the PostgreSQL platform. (4) the wireless sensor network computer simulation technology and the simulation are used for simulating the time sequence data of the site characteristics of the disposal library according to the type of the sensor to be deployed in the north mountain pre-selection area, The sensor network and the data base of the storage database are simulated. The design scheme of the sensor network and the feasibility of the dynamic data management technology are proved, and the structure of the dynamic database is further improved. Through the research of the above contents, the design scheme of deploying wireless sensor network application in Beishan area is put forward, and the detailed implementation rules are put forward. the dynamic data collection and mass management technology generated during the operation of the wireless sensor network are collected, a prospective study is carried out on the mass management technology, the problem that the future actual deployment can be generated is prejudged, the sensor network is optimized and designed from a plurality of aspects, The paper provides the theoretical basis and technical support for the future of the wireless sensor network in the Beishan area.
【學(xué)位授予單位】：核工業(yè)北京地質(zhì)研究院
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：TL942.1;TP212.9;TN929.5
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