本文選題：文物　切入點(diǎn)：無線傳感器網(wǎng)絡(luò)　出處：《西北工業(yè)大學(xué)》2014年博士論文　論文類型：學(xué)位論文

【摘要】：田野文物具有重要的社會(huì)、歷史及經(jīng)濟(jì)價(jià)值。利用先進(jìn)的技術(shù)手段快速有效的獲取田野文物環(huán)境狀態(tài)，評(píng)價(jià)田野文物風(fēng)險(xiǎn)等級(jí)，是建立田野文物入侵偵測(cè)系統(tǒng)的目的和發(fā)展方向。 課題根據(jù)田野文物保護(hù)工作實(shí)際需求，提出將無線傳感器網(wǎng)絡(luò)技術(shù)應(yīng)用于田野文物入侵活動(dòng)偵測(cè)中，針對(duì)田野文物監(jiān)測(cè)應(yīng)用的無線傳感器網(wǎng)絡(luò)相關(guān)應(yīng)用面臨的應(yīng)用基礎(chǔ)性問題，如偵測(cè)對(duì)象選擇、偵測(cè)方法研究、數(shù)據(jù)壓縮及重構(gòu)、信號(hào)特征提取、神經(jīng)網(wǎng)絡(luò)性能優(yōu)化、偵測(cè)系統(tǒng)構(gòu)建、工作流程等問題進(jìn)行了研究，主要?jiǎng)?chuàng)新點(diǎn)及研究內(nèi)容如下： 1.從田野文物入侵活動(dòng)過程及特點(diǎn)出發(fā)，結(jié)合對(duì)現(xiàn)有方法的研究基礎(chǔ)上，研究了基于無線傳感器網(wǎng)絡(luò)技術(shù)的田野文物入侵活動(dòng)偵測(cè)方法，提出將微地震信號(hào)作為偵測(cè)對(duì)象，并提出了相關(guān)的研究技術(shù)路線。 2.將壓縮感知理論應(yīng)用于入侵偵測(cè)系統(tǒng)，利用壓縮感知理論的壓縮特性減少系統(tǒng)通信能耗。針對(duì)入侵偵測(cè)系統(tǒng)數(shù)據(jù)特點(diǎn)、壓縮感知數(shù)據(jù)重構(gòu)算法及已有改進(jìn)算法存在的重構(gòu)精度差、重構(gòu)速度慢等不足，提出了基于量子克隆免疫算法的壓縮感知數(shù)據(jù)重構(gòu)算法Q-CSDR。Q-CSDR對(duì)數(shù)據(jù)進(jìn)行自適應(yīng)分幀，并將量子克隆免疫算法應(yīng)用于壓縮感知數(shù)據(jù)重構(gòu)過程中以提高數(shù)據(jù)的重構(gòu)精度。通過仿真實(shí)驗(yàn)結(jié)果表明，在稀疏度小于60的條件下，Q-CSDR算法仍能保持85%以上的重構(gòu)精度，高于其他對(duì)比算法。 3.提出了基于低頻率采樣條件下的信號(hào)特征提取算法，，將信號(hào)功率譜二次處理算法進(jìn)行針對(duì)性的改進(jìn)并將其應(yīng)用于微地震信號(hào)特征提取。通過仿真及實(shí)際實(shí)驗(yàn)結(jié)果可以看出，在采樣速率為10sps條件下，改進(jìn)的信號(hào)功率譜二次處理算法特征提取性能優(yōu)于其他特征提取算法，并能夠?qū)⑷肭只顒?dòng)分類精度提高至90%以上。最后分析了算法存在的局限性并提出了高頻率條件下的信號(hào)采集方法。 4.提出了基于混沌量子克隆免疫的神經(jīng)網(wǎng)絡(luò)結(jié)構(gòu)優(yōu)化方法。通過構(gòu)建具有一定稀疏度的隱層節(jié)點(diǎn)種群來減少神經(jīng)網(wǎng)絡(luò)冗余連接，并使用混沌量子克隆免疫算法對(duì)各種結(jié)構(gòu)下的神經(jīng)網(wǎng)絡(luò)進(jìn)行尋優(yōu)，以找到性能最好的神經(jīng)網(wǎng)絡(luò)。仿真結(jié)果表明，相對(duì)于比較算法，本算法具有更好的收斂速度和收斂精度，在逼近函數(shù)試驗(yàn)中具有更小的逼近誤差。經(jīng)算法優(yōu)化后的神經(jīng)網(wǎng)絡(luò)能夠適應(yīng)各種地質(zhì)環(huán)境條件下的分類工作，在刪除30%以上的隱層冗余節(jié)點(diǎn)后分類準(zhǔn)確率仍保持在92%以上。 5.設(shè)計(jì)并實(shí)現(xiàn)了基于無線傳感器網(wǎng)絡(luò)的田野文物入侵偵測(cè)系統(tǒng)，將入侵活動(dòng)偵測(cè)方法、數(shù)據(jù)壓縮與重構(gòu)、信號(hào)特征提取、分類器性能優(yōu)化等關(guān)鍵技術(shù)應(yīng)用其中，構(gòu)建了穩(wěn)定、可靠的田野文物保護(hù)系統(tǒng)。實(shí)際實(shí)驗(yàn)結(jié)果表明，系統(tǒng)能夠適應(yīng)各種地質(zhì)條件，在分類準(zhǔn)確率高于93%的條件下穩(wěn)定工作2400小時(shí)，達(dá)到了預(yù)期目標(biāo)。 總之，本文研究成果為基于無線傳感器網(wǎng)絡(luò)的田野文物入侵偵測(cè)系統(tǒng)的實(shí)際應(yīng)用提供了基礎(chǔ)，為推進(jìn)我國田野文物保護(hù)工作的信息化、自動(dòng)化及智能化提供了一種有效的新思路。
[Abstract]:The field artifacts have important social, historical and economic value. It is the purpose and direction of establishing the field heritage intrusion detection system to acquire the environmental status of the field relics quickly and effectively, and evaluate the risk level of the field cultural relics by using advanced technology.
According to the actual needs of the field of cultural relics protection project, the application of wireless sensor network technology in the field of cultural relics in intrusion detection, aiming at the problem of the basic application of wireless sensor network are related to the application of cultural relics in the field monitoring applications, such as object detection, detection method, data compression and signal reconstruction, feature extraction, neural network performance optimization detection, system construction, work flow and so on, the main innovation and research contents are as follows:
1. from the field of cultural relics invasion process and characteristics, combined with the basic research on the existing methods, the intrusion detection method of wireless sensor network technology based on the cultural relics in the field, the micro seismic signal as the detection object, and puts forward relevant research technical route.
2. the CS theory in intrusion detection system, the compression properties of the compressed sensing theory system for reducing the energy consumption of communication. According to the data characteristics of intrusion detection system, compressed sensing data reconstruction algorithm and improved algorithm of reconstruction accuracy is poor, slow speed of reconstruction is not adequate, proposed quantum clonal immune algorithm for compressed sensing data reconstruction algorithm Q-CSDR.Q-CSDR of adaptive frame data based on quantum cloning and application of immune algorithm in data compression sensing reconstruction process to improve the reconstruction accuracy of data. The simulation results show that the sparsity conditions of less than 60, the Q-CSDR algorithm can still keep the reconstruction accuracy of more than 85%, higher than the other compared algorithms.
3. the low frequency signal feature extraction algorithm based on sampling condition, the power spectrum of the signal processing algorithm for two times improvement and its application in micro seismic signal feature extraction. Through simulation and actual experimental results show that the sampling rate of 10sps under the condition of extraction performance than other feature extraction algorithm of signal the power spectrum improved two processing algorithm characteristics, and can improve the classification accuracy of intrusion activities to more than 90%. The final analysis of the limitations of the algorithm are proposed and the signal acquisition method of high frequency conditions.
4. proposed neural network structure optimization based on Chaos Quantum immune clone. Through constructing a hidden node population must sparsity to reduce redundant network connectivity, and neural network structure to the optimization using the Chaos Quantum clonal immune algorithm and neural network to find the best performance. The simulation results show that compared with the the comparison algorithm, the convergence speed and precision of this algorithm has better approximation function, in the test with the approximate error is smaller. The neural network optimized algorithm can adapt to the classification of various geological conditions, the accuracy rate remained at more than 92% in the hidden layer to delete redundant nodes after the classification of more than 30%.
5. the design and implementation of wireless sensor network intrusion detection system based on the field of cultural relics, the intrusion detection method, data compression and signal reconstruction, feature extraction, classifier performance optimization and other key technology application, to construct stable, reliable protection of cultural relics in the field system. The experimental results show that the system can adapt to various geological conditions, accurate the classification rate is higher than 93% under the condition of stable work 2400 hours, to achieve the expected goal.
In conclusion, the research results provide a basis for the practical application of the field heritage intrusion detection system based on wireless sensor networks, and provide an effective new way to promote the informatization, automation and intellectualization of the field cultural relic protection in China.

【學(xué)位授予單位】：西北工業(yè)大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP393.08

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