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申请号:201910992323.6 公开号:CN110851923A 主分类号:G06F30/17
申请人:【中文】大连理工大学【EN】DALIAN UNIVERSITY OF TECHNOLOGY 申请日:2019.10.18 公开日:2020.02.28
摘要:【中文】本发明属于全断面岩石掘进机掘进技术领域,提出了一种掘进机主驱动系统质量协调减振装置的设计方法。本发明利用左上及右上护盾作为质量协调减振装置的质量块,设计一种能适应于实际掘进过程中主机多方向耦合振动的振动传导结构,梳理系统的轴向及倾覆振动,将其整合传导至减振质量块的轴向平移振动,利用质量块的共振最大程度的吸收系统振动能量,从而延长掘进机主机系统寿命,减轻掘进机振动,降低噪音,缩短掘进机研制周期,提高掘进效率,降低了工程的经济损失。 【EN】The invention belongs to the technical field of full-face rock tunneling machine tunneling, and provides a design method of a quality coordination vibration damper of a main driving system of a tunneling machine. The invention utilizes the upper left shield and the upper right shield as the mass blocks of the mass coordination vibration damper, designs a vibration conduction structure which can adapt to multi-direction coupling vibration of the main machine in the actual tunneling process, combs the axial and overturning vibration of the system, integrates and conducts the axial and overturning vibration to the vibration damping mass block, and absorbs the vibration energy of the system to the maximum extent by utilizing the resonance of the mass blocks, thereby prolonging the service life of the main machine system of the tunneling machine, reducing the vibration of the tunneling machine, reducing the noise, shortening the development period of the tunneling machine, improving the tunneling efficiency and reducing the economic loss of the engineering.
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申请号:201911050099.5 公开号:CN110852363A 主分类号:G06K9/62
申请人:【中文】大连理工大学【EN】DALIAN UNIVERSITY OF TECHNOLOGY 申请日:2019.10.31 公开日:2020.02.28
摘要:【中文】一种基于欺骗攻击者的对抗样本防御方法,属于计算机图像处理技术领域。技术方案:在不改变原始分类器分类性能的基础上构建分类系统,采用并行的方式将缓冲器添加到分类系统中,通过构造与原始分类器泛化性能较差的分类器2,很好地欺骗攻击者;在原始分类器之前设置额外的检测器,防御单步攻击以及提高攻击过程的难度,只采用原始分类器对被检测器分类为正常标签的图像进行分类;采用比较器或集成学习块更换检测器,获得更好的分类性能以及无梯度回传的特性,比较器不承担任何特定的攻击策略和扰动模式。有益效果是:本发明采用缓冲器、比较器等阻碍了对抗样本的生成过程,在不影响正常样本的分类性能下,提升了分类网络对对抗样本的防御性能。 【EN】A defense method for confrontation samples based on deception attackers belongs to the technical field of computer image processing. The technical scheme is as follows: constructing a classification system on the basis of not changing the classification performance of an original classifier, adding a buffer into the classification system in a parallel mode, and well deceiving an attacker by constructing a classifier 2 with poor generalization performance with the original classifier; an additional detector is arranged in front of an original classifier, single-step attack is prevented, the difficulty of an attack process is improved, and only the original classifier is adopted to classify the images classified into normal labels by the detector; the comparator or the integrated learning block is adopted to replace the detector, so that better classification performance and the characteristic of no gradient return are obtained, and the comparator does not bear any specific attack strategy and disturbance mode. The method has the advantages that the generation process of the countermeasure sample is hindered by adopting the buffer, the comparator and the like, and the defense performance of the classification network on the countermeasure sample is improved under the condition that the classification performance of the normal sample is not influenced.
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申请号:201911080235.5 公开号:CN110852010A 主分类号:G06F30/23
申请人:【中文】大连理工大学【EN】DALIAN UNIVERSITY OF TECHNOLOGY 申请日:2019.11.07 公开日:2020.02.28
摘要:【中文】本发明考虑尺度效应的聚合物血管支架力学性能预测方法属于介入性医疗器械技术领域,涉及一种考虑尺度效应的聚合物血管支架力学性能预测方法。该方法基于Cosserat连续介质理论,通过引入偶应力和曲率应变,得到广义应力和广义应变,建立考虑尺度效应的聚合物材料弹性本构关系。采用有限元法构建带有微空洞的聚合物材料体胞模型,获取了考虑微空洞尺度效应的聚合物材料等效本构关系函数。经过有限元分析计算,最终实现对聚合物血管支架力学性能的预测。本发明考虑微空洞尺度效应的聚合物材料等效本构关系函数,采用了一种新的计算方法,揭示了材料降解过程中聚合物血管支架力学性能的变化规律,能够实现聚合物血管支架力学性能的精准预测。 【EN】The invention discloses a method for predicting mechanical properties of a polymer intravascular stent by considering a scale effect, belongs to the technical field of interventional medical instruments, and relates to a method for predicting mechanical properties of a polymer intravascular stent by considering the scale effect. The method is based on the Cosserat continuous medium theory, obtains generalized stress and generalized strain by introducing even stress and curvature strain, and establishes the elastic constitutive relation of the polymer material considering the scale effect. A polymer material cell model with micro-cavities is constructed by adopting a finite element method, and a polymer material equivalent constitutive relation function considering the micro-cavity scale effect is obtained. And finally realizing the prediction of the mechanical property of the polymer intravascular stent through finite element analysis and calculation. The invention discloses a change rule of the mechanical property of a polymer vascular stent in the material degradation process by taking the equivalent constitutive relation function of the polymer material with the micro-cavity scale effect into consideration and adopting a new calculation method, and can realize accurate prediction of the mechanical property of the polymer vascular stent.
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申请号:201911081804.8 公开号:CN110853701A 主分类号:G16B5/00
申请人:【中文】大连理工大学【EN】DALIAN UNIVERSITY OF TECHNOLOGY 申请日:2019.11.07 公开日:2020.02.28
摘要:【中文】本发明属于化学品生态风险评价的高通量测试策略技术领域,公开了一种采用多参数线性自由能关系模型预测有机化合物的鱼类生物富集因子的方法。搜索所需Abraham溶质参数描述符,应用所构建的pp‑LFERs模型,即能快速、高效地预测有机化合物的鱼类生物富集因子,该方法简单快捷、成本低,且能节省所需的人力、物力和财力。本发明关于定量构效关系模型的构建和使用导则进行建模,运用简单、透明的多元线性回归分析方法,易于理解和应用;具有明确的应用域、良好的拟合能力、稳健性和预测能力,能够有效地预测应用域内有机化合物的鱼类生物富集因子,为化合物的生态风险性评价和管理提供必要的基础数据,具有重要的意义。 【EN】The invention belongs to the technical field of high-throughput testing strategies for ecological risk evaluation of chemicals, and discloses a method for predicting fish biological enrichment factors of organic compounds by adopting a multi-parameter linear free energy relation model. The method is simple, fast and low in cost, and can save required manpower, material resources and financial resources. The invention relates to the construction of a quantitative structure-activity relationship model and modeling by using a guide rule, and a simple and transparent multivariate linear regression analysis method is applied, so that the model is easy to understand and apply; the method has a clear application domain, good fitting ability, robustness and prediction ability, can effectively predict the fish biological enrichment factor of the organic compound in the application domain, provides necessary basic data for ecological risk evaluation and management of the compound, and has important significance.
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申请号:201911085797.9 公开号:CN110852011A 主分类号:G06F30/23
申请人:【中文】大连理工大学【EN】DALIAN UNIVERSITY OF TECHNOLOGY 申请日:2019.11.08 公开日:2020.02.28
摘要:【中文】一种基于序列Kriging代理模型的结构非梯度拓扑优化方法,属于属于结构与多学科优化设计领域,主要包括设计域材料场的缩减级数展开、非梯度拓扑优化模型建立和序列Kriging代理模型算法求解三部分内容。本发明通过材料场函数的缩减级数展开,有效减少拓扑优化问题设计变量,使用带有自适应设计空间调整策略的序列Kriging代理模型算法,可以有效求解50个设计变量以内由材料场描述的拓扑优化问题。本方法不需要性能函数设计灵敏度信息,适合于解决复杂多场耦合、多学科和高非线性的拓扑优化问题;不仅继承了密度法拓扑优化的简单形式,还能使拓扑结构边界清晰光滑,便于集成各种商用和自研有限元软件,是一种便于推广和工程应用的拓扑优化方法。 【EN】A structural non-gradient topology optimization method based on a sequence Kriging agent model belongs to the field of structural and multidisciplinary optimization design and mainly comprises three parts of reduced series expansion of a design field material field, establishment of a non-gradient topology optimization model and solution of a sequence Kriging agent model algorithm. According to the invention, through the reduced series expansion of the material field function, the design variables of the topology optimization problem are effectively reduced, and the topology optimization problem described by the material field within 50 design variables can be effectively solved by using a sequence Kriging agent model algorithm with a self-adaptive design space adjustment strategy. The method does not need performance function design sensitivity information, and is suitable for solving the topological optimization problems of complex multi-field coupling, multidisciplinary and high nonlinearity; the method not only inherits the simple form of density method topology optimization, but also enables the boundary of the topology structure to be clear and smooth, is convenient for integrating various commercial and self-developed finite element software, and is a topology optimization method convenient for popularization and engineering application.
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申请号:201911127434.7 公开号:CN110845260A 主分类号:C05F17/20
申请人:【中文】大连理工大学【EN】DALIAN UNIVERSITY OF TECHNOLOGY 申请日:2019.11.18 公开日:2020.02.28
摘要:【中文】本发明属于秸秆生物质资源化利用技术领域,提供了一种草酸药剂促进还田秸秆光解和生物降解的方法。本发明针对还田秸秆分解缓慢的问题,通过外源施加草酸药剂促进还田秸秆光解和生物降解,开展了不同用量的草酸药剂对秸秆光解和生物降解影响的研究,筛选了草酸药剂的最佳用量,同时考查了药剂施加后对土壤pH、脱氢酶活性等的影响,证实了草酸药剂可以在自然光照下破坏秸秆的结晶区域,增加秸秆埋入土壤后分解酶的生物可及性,促进秸秆的降解,这对秸秆还田的推广及应用具有一定的指导意义。 【EN】The invention belongs to the technical field of resource utilization of straw biomass and provides a method for promoting photolysis and biodegradation of returned straw by using an oxalic acid agent. Aiming at the problem that the decomposition of the returned straws is slow, the returned straws are promoted to be photolyzed and biodegraded by externally applying oxalic acid agents, the research on the influence of different dosages of oxalic acid agents on the photolysis and the biodegradation of the straws is developed, the optimal dosage of the oxalic acid agents is screened, meanwhile, the influence of the applied agents on the pH value of soil, the dehydrogenase activity and the like is examined, the fact that the oxalic acid agents can damage the crystallization area of the straws under natural illumination is verified, the biological accessibility of the resolvase is increased after the straws are buried in the soil, the degradation of the straws is promoted, and the method has certain guiding significance on the popularization and the application of the returned straws.
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申请号:201911145785.0 公开号:CN110849351A 主分类号:G01C21/00
申请人:【中文】大连理工大学【EN】DALIAN UNIVERSITY OF TECHNOLOGY 申请日:2019.11.21 公开日:2020.02.28
摘要:【中文】本发明公开了一种利用深度相机和双目相机构建栅格地图的方法,属于图像处理和计算机视觉领域。利用严谨的配准策略完成传感器配准,从硬件的层次提升系统效率。利用GPU构建高性能运算平台,并构建高性能求解算法构建栅格地图。系统容易构建,程序简单,易于实现;利用多模态传感器,算法鲁棒性强精度高。 【EN】The invention discloses a method for constructing a grid map by using a depth camera and a binocular camera, and belongs to the field of image processing and computer vision. And the sensor registration is completed by utilizing a strict registration strategy, so that the system efficiency is improved from the hardware level. And constructing a high-performance operation platform by using the GPU, and constructing a high-performance solving algorithm to construct a grid map. The system is easy to construct, simple in procedure and easy to realize; by utilizing the multi-mode sensor, the algorithm has strong robustness and high precision.
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申请号:201911146220.4 公开号:CN110849352A 主分类号:G01C21/00
申请人:【中文】大连理工大学【EN】DALIAN UNIVERSITY OF TECHNOLOGY 申请日:2019.11.21 公开日:2020.02.28
摘要:【中文】本发明公开了一种利用红外、深度和双目相机融合构建栅格地图的方法,属于图像处理和计算机视觉领域。利用严谨的配准策略完成传感器配准,从硬件的层次提升系统效率。利用GPU构建高性能运算平台,并构建高性能求解算法构建栅格地图。系统容易构建,程序简单,易于实现;利用红外相机,深度相机和双目相机融合构建地图,可以全天候使用,而且算法鲁棒性强精度高。 【EN】The invention discloses a method for constructing a grid map by fusing infrared cameras, depth cameras and binocular cameras, and belongs to the field of image processing and computer vision. And the sensor registration is completed by utilizing a strict registration strategy, so that the system efficiency is improved from the hardware level. And constructing a high-performance operation platform by using the GPU, and constructing a high-performance solving algorithm to construct a grid map. The system is easy to construct, simple in procedure and easy to realize; the infrared camera, the depth camera and the binocular camera are fused to construct the map, the map can be used all weather, and the algorithm is strong in robustness and high in precision.
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申请号:201911169150.4 公开号:CN110849330A 主分类号:G01C11/02
申请人:【中文】大连理工大学【EN】DALIAN UNIVERSITY OF TECHNOLOGY 申请日:2019.11.26 公开日:2020.02.28
摘要:【中文】本发明属于精密微小零件自动装配技术领域,涉及一种惯性摆装配设备视觉深度方向的安装偏角标定装置及方法。所述的装置包括上工装夹具10、夹具片8、下工装夹具、视觉模块和装调模块。本发明利用现有的零件夹具工装,根据零件及其夹具形状的特殊性,标定出与相机拍摄方向平行的三轴位移滑台的安装偏转角误差,进而补偿运动部件安装误差,提高装配设备的装配精度。本发明摆脱专用标定量块的限制,克服与相机拍摄方向相同的精密位移滑台安装偏角误差标定难题。 【EN】The invention belongs to the technical field of automatic assembly of precise micro parts, and relates to an installation deflection angle calibration device and method in the visual depth direction of an inertia pendulum assembly device. The device comprises an upper tool clamp 10, a clamp piece 8, a lower tool clamp, a vision module and an adjusting module. According to the invention, the existing part fixture tool is utilized, and the installation deflection angle error of the three-axis displacement sliding table parallel to the camera shooting direction is calibrated according to the particularity of the part and the fixture shape, so that the installation error of the moving part is compensated, and the assembly precision of the assembly equipment is improved. The invention gets rid of the limitation of a special calibration gauge block and overcomes the difficult problem of the calibration of the installation deflection angle error of the precision displacement sliding table in the same shooting direction as the camera.
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申请号:201911016595.9 公开号:CN110864725A 主分类号:G01D21/02
申请人:【中文】大连理工大学【EN】DALIAN UNIVERSITY OF TECHNOLOGY 申请日:2019.10.24 公开日:2020.03.06
摘要:【中文】本发明属于三维彩色点云数据处理与三维场景重建技术领域,一种基于升降运动的全景三维彩色激光扫描系统及其方法,其中:方法包括以下步骤:(1)控制电控升降台匀速升降,(2)数据同步采集,(3)采集数据融合。本发明具有以下优点:一是利用全新的数据同步采集方法,实时同步采集激光三维点云、全向二维图像、设备位姿信息和升降台位置信息,同步采集精度高;二是利用每一个同步时刻的激光三维点云与全向二维图像进行数据融合,实时获取空间场景的三维彩色点云数据,数据融合实时性好;三是利用升降台往复运动和GPS组合惯导模块,实现大范围空间场景浓密三维彩色点云的融合重构。 【EN】The invention belongs to the technical field of three-dimensional color point cloud data processing and three-dimensional scene reconstruction, and discloses a panoramic three-dimensional color laser scanning system and a method thereof based on lifting motion, wherein the panoramic three-dimensional color laser scanning system comprises: the method comprises the following steps: (1) controlling the electric control lifting platform to lift at a constant speed, (2) synchronously acquiring data, and (3) fusing the acquired data. The invention has the following advantages: firstly, a brand-new data synchronous acquisition method is utilized to synchronously acquire laser three-dimensional point cloud, omnidirectional two-dimensional images, equipment pose information and lifting platform position information in real time, and the synchronous acquisition precision is high; secondly, data fusion is carried out by utilizing the laser three-dimensional point cloud and the omnidirectional two-dimensional image at each synchronous moment, three-dimensional color point cloud data of a space scene are obtained in real time, and the data fusion real-time performance is good; thirdly, fusion and reconstruction of dense three-dimensional color point clouds in a large-scale space scene are achieved by utilizing the reciprocating motion of the lifting platform and the GPS combined inertial navigation module.
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