摘要：【中文】本申请实施例提供一种有轨电车与地铁同台的车站及轨道布设结构，包括：地铁站台、两条地铁正线、有轨电车站台、两条有轨电车正线、联络站台、第一渡线和第二渡线；两条地铁正线分别设置在地铁站台的两侧；有轨电车站台设置在地铁站台的一端，且位于两条地铁正线之间；两条有轨电车正线设置在有轨电车站台侧边，两条有轨电车正线的末端朝向地铁站台靠近有轨电车站台的一端；联络站台连通地铁站台和有轨电车站台；第一渡线设置在地铁站台远离有轨电车站台的一端，且连通两条地铁正线；第二渡线连通两条有轨电车正线。本申请实施例的有轨电车与地铁同台的车站及轨道布设结构有利于实现有轨电车车站与地铁车站的一体化。 【EN】The embodiment of the application provides a structure is laid with station and track of subway with tram, includes: the system comprises a subway platform, two subway main lines, a tramcar platform, two tramcar main lines, a connection platform, a first crossover line and a second crossover line; the two subway main lines are respectively arranged at two sides of the subway platform; the rail tramcar platform is arranged at one end of the subway platform and is positioned between two subway main lines; the two tramcar main lines are arranged on the side edges of the tramcar platform, and the tail ends of the two tramcar main lines face one end, close to the tramcar platform, of the subway platform; the connection platform is communicated with the subway platform and the tramcar platform; the first crossover line is arranged at one end of the subway platform, which is far away from the tramcar platform, and is communicated with the two subway main lines; the second crossover line is communicated with the two tramcar main lines. The station and track layout structure of the same tramcar and subway station in the embodiment of the application is beneficial to realizing the integration of the tramcar station and the subway station.

摘要：【中文】本发明公开了一种重油悬浮床加氢尾油的高值化利用工艺，针对含有大量石油焦微粒和分散型纳米催化剂微粒的重油悬浮床加氢尾油，设计采用碳化和结构活化处理工艺，制备得到具有高附加值的过渡金属硫化物/活性碳复合材料。具体工艺过程包括：首先通过减压蒸馏去除尾油中沸点小于550℃的馏分，将剩余部分经糠醛萃取后冷却粉碎、研磨，然后将其与碱金属氢氧化物混合均匀，在H₂/He混合气氛下，以一定速率升温至700～1000℃进行结构活化，冷却后经洗涤、干燥得到过渡金属硫化物/活性碳复合材料，具有工艺简单、原料广泛易得、成本低廉、产物附加值高、应用广泛等优点。 【EN】The invention discloses a high-valued utilization process of heavy oil suspension bed hydrogenation tail oil, which aims at the heavy oil suspension bed hydrogenation tail oil containing a large amount of petroleum coke particles and dispersed nano catalyst particles, and adopts carbonization and structure activation treatment processes to prepare a transition metal sulfide/activated carbon composite material with high added value. The specific process comprises the following steps: removing fraction with boiling point less than 550 deg.C from tail oil by vacuum distillation, extracting the rest part with furfural, cooling, pulverizing, grinding, mixing with alkali metal hydroxide, and reacting in the presence of hydrogen peroxide₂And under the mixed atmosphere of the/He, heating to 700-1000 ℃ at a certain speed for structural activation, cooling, washing and drying to obtain the transition metal sulfide/activated carbon composite material, and the preparation method has the advantages of simple process, wide and easily obtained raw materials, low cost, high added value of products, wide application and the like.

摘要：【中文】本发明提供一种基于低秩和稀疏约束的地震数据重建方法，包括：S1、对观测地震数据进行预变换得到变换结果矩阵，作为迭代初始值；S2、在每一次更新过程中，对变换结果矩阵进行奇异值分解，利用分解得到的左、右奇异矩阵构建正交矩阵；S3、利用正交矩阵建立模型，并采用迭代算法求解所述模型，得到更新后的变换结果矩阵；S4、判断更新后的变换结果矩阵是否收敛，若收敛则执行步骤S5，否则将更新后的变换结果矩阵用作下一次更新，回到步骤S2；S5、对收敛的变换结果矩阵进行反变换得到重建的地震数据。本发明的有益效果：充分考虑了地震数据的冗余结构，兼顾细节和全局结构特点，显著提高了重建数据的质量；具有较高的峰值信噪比。 【EN】The invention provides a seismic data reconstruction method based on low rank and sparse constraint, which comprises the following steps: s1, pre-transforming the observed seismic data to obtain a transformation result matrix as an iteration initial value; s2, in each updating process, singular value decomposition is carried out on the transformation result matrix, and an orthogonal matrix is constructed by using the left singular matrix and the right singular matrix obtained by decomposition; s3, establishing a model by using the orthogonal matrix, and solving the model by using an iterative algorithm to obtain an updated transformation result matrix; s4, judging whether the updated transformation result matrix is converged, if so, executing the step S5, otherwise, using the updated transformation result matrix as the next update, and returning to the step S2; and S5, performing inverse transformation on the converged transformation result matrix to obtain the reconstructed seismic data. The invention has the beneficial effects that: the redundancy structure of the seismic data is fully considered, the characteristics of details and a global structure are considered, and the quality of the reconstructed data is obviously improved; has higher peak signal-to-noise ratio.

摘要：【中文】本发明提供了一种基于残差密集孪生网络的目标跟踪方法，该方法首先在视频第一帧图像中提取待跟踪目标的模板图像，并将其输入到残差密集网络，获得初始模板特征，将提取的特征进一步输入全局注意力模块，获得模板特征，完成跟踪器初始化；然后对第t帧图像裁剪提取搜索区域图像，并将其输入到残差密集网络获得搜索区域特征；最后，将模板特征和搜索区域特征输入候选区域生成网络，得到前景与背景分类置信度和边界框回归估计值，进一步得到第t帧跟踪结果。应用本发明，解决了现有基于孪生网络的目标跟踪方法无法有效处理背景杂乱、相似语义干扰的问题，还解决了现有基于孪生网络的目标跟踪方法跟踪准确度低，鲁棒性差的问题。 【EN】The invention provides a target tracking method based on a residual error dense twin network, which comprises the steps of firstly extracting a template image of a target to be tracked from a first frame image of a video, inputting the template image into the residual error dense network to obtain initial template characteristics, further inputting the extracted characteristics into a global attention module to obtain the template characteristics, and finishing the initialization of a tracker; then, cutting the t frame image to extract a search area image, and inputting the search area image into a residual error dense network to obtain search area characteristics; and finally, inputting the template features and the search region features into a candidate region generation network to obtain classification confidence coefficients of the foreground and the background and a regression estimation value of a bounding box, and further obtaining a t-th frame tracking result. The method solves the problems that the existing twin network-based target tracking method cannot effectively process background clutter and similar semantic interference, and also solves the problems of low tracking accuracy and poor robustness of the existing twin network-based target tracking method.

摘要：【中文】本发明提供了一种基于多重网络的单目标跟踪方法，是一种采用深度学习的模型。该方法首先对视频序列的第一帧图像和当前帧图像进行裁剪，得到模板图像和待搜索图像；将模板图像和待搜索图像输入外观子网和语义子网，分别获得模板图像和待搜索图像的低层外观特征和高层语义特征，并进行特征融合，分别得到模板图像和待搜索图像的融合特征图；然后，基于模板图像和待搜索图像的融合特征图，使用相似性判别方法得到最终响应图；最后，根据最终响应图提供的信息获得跟踪结果。本发明解决了传统单目标跟踪方法无法有效检测到包含相似性背景的待搜索图像中的跟踪目标，以及基于深度学习的特征提取方法由于提取出的低层外观特征存在噪声而导致误检的问题。 【EN】The invention provides a single-target tracking method based on multiple networks, which is a model adopting deep learning. Firstly, cutting a first frame image and a current frame image of a video sequence to obtain a template image and an image to be searched; inputting the template image and the image to be searched into an appearance subnet and a semantic subnet, respectively obtaining a low-level appearance characteristic and a high-level semantic characteristic of the template image and the image to be searched, and performing characteristic fusion to respectively obtain fusion characteristic graphs of the template image and the image to be searched; then, based on the fusion characteristic diagram of the template image and the image to be searched, a final response diagram is obtained by using a similarity judgment method; and finally, obtaining a tracking result according to the information provided by the final response diagram. The method solves the problems that the traditional single-target tracking method cannot effectively detect the tracking target in the image to be searched containing the similarity background, and the feature extraction method based on deep learning causes false detection due to the fact that the extracted low-layer appearance features have noise.

摘要：【中文】本发明提供了一种基于多尺度注意级联网络的图像超分辨率重建方法，首先使用卷积操作提取低分辨率图像的浅层特征；然后，将浅层特征输入特征提取子网，获得级联特征；进一步，将级联特征通过卷积核为1的卷积层，获得优化的特征；将优化后的特征输入图像深度学习上采样模块获得重建图像同时，对低分辨率图像I_LR采用双三次线性插值算法获得重建图像最后，将重建图像和融合，获得最终的高分辨率重建图像I_SR。本发明适用于图像的超分辨率重建，得到的重建图像清晰度高，纹理更为真实，感观效果好。 【EN】The invention provides an image super-resolution reconstruction method based on a multi-scale attention cascade network, which comprises the steps of extracting shallow features of a low-resolution image by using convolution operation; then, inputting the shallow layer characteristics into a characteristic extraction subnet to obtain cascade characteristics; further, the cascade characteristic passes through a convolution layer with convolution kernel of 1 to obtain an optimized characteristic; inputting the optimized features into an image depth learning up-sampling module to obtain a reconstructed imageAt the same time, for low resolution images I_LRObtaining a reconstructed image by adopting a bicubic linear interpolation algorithmFinally, the image is reconstructedAndfusing to obtain the final high-resolution reconstructed image I_SR. The method is suitable for super-resolution reconstruction of the image, and the obtained reconstructed image has high definition, more real texture and good perception effect.

摘要：【中文】本发明提供了一种基于运动注意力的视频目标分割方法，该方法将通道注意力模块输出的通道特征图和运动注意力模块输出的位置特征图进行相加，获得当前帧的分割结果。其中，通道注意力模块的输入为当前帧特征图F_t和第一帧提供的目标物体的外观特征图F₀，通道注意力模块通过计算输入特征图F_t和F₀通道之间的关联，输出的通道特征图反映了当前帧中外观最接近目标物体的物体；运动注意力模块的输入为当前帧特征图F_t和前一帧运动注意力网络中的记忆模块预测的目标物体的位置信息H_t‑1，运动注意力模块通过计算输入特征图F_t和H_t‑1位置之间的关联，输出的位置特征图反映了当前帧中目标物体的大致位置。本发明结合外观和位置两个因素，实现了对视频目标更精确的分割。 【EN】The invention provides a video target segmentation method based on motion attention, which adds a channel characteristic diagram output by a channel attention module and a position characteristic diagram output by a motion attention module to obtain a segmentation result of a current frame. Wherein, the input of the channel attention module is a current frame feature map F_tAnd the appearance characteristic diagram F of the target object provided by the first frame₀The channel attention module inputs the feature map F by calculation_tAnd F₀The correlation among the channels, the output channel characteristic diagram reflects the object with the appearance closest to the target object in the current frame; the input of the motion attention module is a current frame feature map F_tAnd the position information H of the target object predicted by the memory module in the previous frame motion attention network_t‑1The motion attention module inputs the feature map F by calculation_tAnd H_t‑1Correlation between positions, output position characteristic map reflectionThe approximate position of the target object in the current frame is shown. The invention combines two factors of appearance and position to realize more accurate segmentation of the video target.

摘要：【中文】本发明涉及一种基于生物适配体的催化发夹自组装反应检测水环境中3,3′,4,4′‑四氯联苯的方法，主要通过PCB77的适配体与引物合成识别探针，在PCB77的存在条件下，适配体与PCB77结合形成稳定的结构，并释放出引物链，无酶催化发夹自组装反应被激活，引物链与发夹探针H1杂交产生双链结构，启动链置换反应打开发夹探针H2，产生荧光信号；引物链从发夹探针H1与H2上掉落，循环反应，使荧光信号扩大，获得荧光数据，绘制标准曲线，检测水体样本PCB77获得荧光数据，计算出水体样本中PCB77的含量；本发明涉及的方法操作简单，检测结果准确灵敏度高。 【EN】The invention relates to a method for detecting 3,3 ', 4, 4' -tetrachlorobiphenyl in a water environment by a catalysis hairpin self-assembly reaction based on a biological aptamer, which is characterized in that an identification probe is synthesized by an aptamer and a primer of PCB77, the aptamer and PCB77 are combined to form a stable structure in the presence of PCB77, a primer chain is released, the enzyme-free catalysis hairpin self-assembly reaction is activated, the primer chain is hybridized with a hairpin probe H1 to generate a double-chain structure, and a strand displacement reaction is started to open the hairpin probe H2 to generate a fluorescent signal; the primer chain falls off from the hairpin probes H1 and H2, the reaction is circulated, the fluorescence signal is enlarged, the fluorescence data is obtained, a standard curve is drawn, the fluorescence data obtained by detecting the water body sample PCB77 is detected, and the content of the PCB77 in the water body sample is calculated; the method provided by the invention is simple to operate, and the detection result is accurate and high in sensitivity.

摘要：【中文】本发明公开了一种光伏发电板的降温机构及其降温方法，解决了如何对光伏发电板进行有效降温的问题。光伏发电板（1）、长方体形框架（2）和散热板（16），在长方体形框架（2）的左、右两侧面上铰接的直角梯形状翅片板，就象蜻蜓的两排翅膀一样，在每排翅膀中，又间隔地设置成两组，第一组升起在水平位置时，另一组呈下垂状态，两组定时交换位置状态，使光伏发电板（1）上的热量先传导到呈水平状态的一组直角梯形状翅片板上，然后，吸收了热量的该组直角梯形状翅片板转换成下垂状态，将其上的热量再传导到水平散热板（16）上，水平散热板（16）依靠其大面积的散热面积，将热量传导到周围的空气中。装置简单实用，提高了光伏发电的效率。 【EN】The invention discloses a cooling mechanism and a cooling method of a photovoltaic power generation panel, and solves the problem of how to effectively cool the photovoltaic power generation panel. The solar energy photovoltaic power generation panel comprises a photovoltaic power generation panel (1), a cuboid frame (2) and a heat dissipation plate (16), wherein right-angled trapezoid-shaped fin plates hinged to the left side face and the right side face of the cuboid frame (2) are arranged into two groups at intervals in each row of wings like two rows of dragonfly, the other group is in a sagging state when the first group is lifted to be in a horizontal position, and the two groups exchange positions at regular time to enable heat on the photovoltaic power generation panel (1) to be firstly conducted to the right-angled trapezoid-shaped fin plates in the horizontal state, then the right-angled trapezoid-shaped fin plates absorbing the heat are converted into the sagging state, the heat on the right-angled trapezoid-shaped fin plates is conducted to the horizontal heat dissipation plate (16), and the horizontal heat dissipation plate (16) conducts the heat to air around by means of large-area heat dissipation area. The device is simple and practical, and the efficiency of photovoltaic power generation is improved.

摘要：【中文】本发明公开了一种5‑乙酰乙酰氨基苯并咪唑酮的制备方法，以水为溶剂，加入5‑氨基苯并咪唑酮、硫氢化钠溶液、活性炭混合，一定温度反应一定时间，过滤得中间体滤液；在一定温度下向中间体滤液中滴加双乙烯酮，保温一定时间后，降温过滤、烘干，得到5‑乙酰乙酰氨基苯并咪唑酮。采用硫氢化钠溶液，既能加快5‑氨基苯并咪唑酮的溶解，又能防止5‑氨基苯并咪唑酮氧化，硫氢化钠在高温下水解产生的H₂S气体经氢氧化钠溶液吸收后又可以生成硫氢化钠溶液，使之循环使用，避免了废气的排放；以水为溶剂，降低了醇类作为溶剂时的成本，避免了产品烘干时的安全隐患，反应时间短。产品纯度≥99.2％，收率≥85％，既保证了质量又提高了收率。 【EN】The invention discloses a preparation method of 5-acetoacetylaminobenzimidazolone, which comprises the steps of taking water as a solvent, adding 5-aminobenzimidazolone, a sodium hydrosulfide solution and active carbon, mixing, reacting for a certain time at a certain temperature, and filtering to obtain intermediate filtrate; and (3) dropwise adding diketene into the intermediate filtrate at a certain temperature, preserving the heat for a certain time, cooling, filtering and drying to obtain the 5-acetoacetylaminobenzimidazolone. The sodium hydrosulfide solution is adopted, so that the dissolution of the 5-aminobenzimidazole ketone can be accelerated, the oxidation of the 5-aminobenzimidazole ketone can be prevented, and H generated by the hydrolysis of the sodium hydrosulfide at high temperature₂S gas can generate sodium hydrosulfide solution after being absorbed by sodium hydroxide solution, so that the S gas can be recycled, and the emission of waste gas is avoided; the method takes water as a solvent, reduces the cost of alcohols as the solvent, avoids potential safety hazards during product drying, and has short reaction time. The product purity is more than or equal to 99.2 percent, the yield is more than or equal to 85 percent, the quality is ensured, and the yield is improved.