發(fā)布時(shí)間：2018-05-25 14:33

  本文選題：瀝青路面 + 三維檢測(cè)��； 參考：《長(zhǎng)安大學(xué)》2014年碩士論文

【摘要】：瀝青路面由于其使用年份長(zhǎng)，養(yǎng)護(hù)費(fèi)用低，能源消耗少等優(yōu)勢(shì)，已取得了迅速發(fā)展。礦質(zhì)混合料是瀝青路面修筑的重要材料，隨著三維檢測(cè)技術(shù)的發(fā)展，礦質(zhì)混合料的檢測(cè)對(duì)現(xiàn)代瀝青路面有了非常重要的意義。集料的形態(tài)特征、分布、級(jí)配等對(duì)瀝青路面的耐久性、抗壓性、穩(wěn)定性、抗車(chē)轍性等都有決定性的作用。本文對(duì)集料粒徑的三維檢測(cè)方法進(jìn)行了深入的研究。 本文分析了集料顆粒的形態(tài)特征和評(píng)價(jià)理論，搭建了集料顆粒三維數(shù)據(jù)采集平臺(tái)，利用紅外線激光器結(jié)合面陣相機(jī)的三維數(shù)據(jù)采集技術(shù)，實(shí)現(xiàn)了檢測(cè)顆粒數(shù)據(jù)信息的快速采集。針對(duì)原始三維數(shù)據(jù)出現(xiàn)噪聲的原因，提出了去噪的新算法，并將該新算法的去噪效果與傳統(tǒng)去噪方法進(jìn)行了對(duì)比分析。利用數(shù)學(xué)形態(tài)學(xué)的方法獲得二值圖像，針對(duì)二值圖像的中的信息缺失或空洞，設(shè)計(jì)了新算法對(duì)其進(jìn)行了修復(fù)。在基于區(qū)域分割、邊界分割、特定理論分割方法的基礎(chǔ)上，，提出了基于顆粒二值圖像區(qū)域生長(zhǎng)分割算法，實(shí)現(xiàn)了較好的顆粒的分離。本文利用數(shù)字圖像處理技術(shù)，創(chuàng)新性的提出了集料顆粒的三視圖，分析了三視圖粒徑，通過(guò)建立數(shù)學(xué)模型，對(duì)系數(shù)加權(quán)得出了合成粒徑，對(duì)集料顆粒粒徑進(jìn)行了分析和計(jì)算。 為了驗(yàn)證本文提出的合成粒徑的合理性和準(zhǔn)確性，采用了三檔集料樣本數(shù)據(jù)進(jìn)行了驗(yàn)證，較為準(zhǔn)確的得出了集料粒徑。利用本文的結(jié)論可以獲得更多的集料顆粒特征參數(shù)，為之后進(jìn)一步研究集料級(jí)配打下堅(jiān)實(shí)的基礎(chǔ)。
[Abstract]:Asphalt pavement has made rapid development due to its advantages such as long years of use, low maintenance cost and less energy consumption. Mineral mixture is an important material for asphalt pavement construction. With the development of three-dimensional detection technology, the detection of mineral mixture has a very important significance for modern asphalt pavement. The morphology, distribution and gradation of aggregate play a decisive role in the durability, compression, stability and rutting resistance of asphalt pavement. In this paper, the three-dimensional measurement method of aggregate particle size is studied. In this paper, the morphological characteristics and evaluation theory of aggregate particles are analyzed, and a 3D data acquisition platform for aggregate particles is set up. The fast acquisition of particle data information is realized by using infrared laser combined with 3D data acquisition technology of area array camera. A new denoising algorithm is proposed for the noise of the original 3D data, and the effect of the new algorithm is compared with that of the traditional de-noising method. The binary image is obtained by mathematical morphology, and a new algorithm is designed to repair the missing or empty information in the binary image. On the basis of region segmentation, boundary segmentation and specific theoretical segmentation methods, a region growing segmentation algorithm based on particle binary image is proposed to achieve better particle separation. In this paper, the three-view of aggregate particle is creatively put forward by digital image processing technology, and the three-view particle size is analyzed. By establishing mathematical model, the synthetic particle size is obtained by weighted coefficient, and the particle size of aggregate particle is analyzed and calculated. In order to verify the rationality and accuracy of the synthetic particle size proposed in this paper, the three-stage aggregate sample data were used to verify the accuracy of the aggregate particle size. More characteristic parameters of aggregate particles can be obtained by using the conclusion of this paper, which lays a solid foundation for further research on aggregate gradation.
【學(xué)位授予單位】：長(zhǎng)安大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：U414

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