摘要：【中文】本发明公开了一种预应力增强膜结构体及组合式预应力增强膜结构体，包括囊体、柔性增强骨架和环形刚性构件；囊体的内容物为流体；环形刚性构件分别设于囊体对应的端部的外周；柔性增强骨架设于囊体的外部；柔性增强骨架包含柔性索时，柔性索沿囊体的素线或导线方向布置，或者交错缠绕在囊体外周，或两者混合布置；沿囊体的素线布置的柔性索与交错缠绕在囊体外周的柔性索的交点使用能够传力的节点连接，并且囊体充满流体后的轮廓尺寸比柔性索构成的柔性增强骨架的轮廓尺寸大；柔性增强骨架包含柔性纤维布时，纤维布完全包裹住囊体。本发明具有轻质、便携，安装、拆卸方便的特点，同时承载能力和刚度高，耐冲击强度大。 【EN】The invention discloses a prestressed reinforced membrane structure and a combined prestressed reinforced membrane structure, which comprise a capsule body, a flexible reinforced framework and an annular rigid member; the content of the capsule body is fluid; the annular rigid members are respectively arranged on the periphery of the corresponding end parts of the bag body; the flexible reinforced skeleton is arranged outside the bag body; when the flexible reinforcing framework comprises flexible cables, the flexible cables are arranged along the direction of the plain lines or the conducting wires of the balloon body, or are wound on the periphery of the balloon body in a staggered mode, or are arranged in a mixed mode; the intersection points of the flexible cables arranged along the plain lines of the capsule body and the flexible cables wound on the periphery of the capsule body in a staggered mode are connected by using a node capable of transferring force, and the outline size of the filled capsule body is larger than that of a flexible reinforced framework formed by the flexible cables; when the flexible reinforced framework contains flexible fiber cloth, the fiber cloth completely wraps the capsule body. The invention has the characteristics of light weight, portability, convenient installation and disassembly, high bearing capacity and rigidity and high impact strength.

摘要：【中文】本发明公开了一种高效能量回收的MVR蒸发装置及蒸发方法，包括蒸汽压缩机、蒸发换热器、分离器以及蒸馏水罐，分离器与蒸发换热器连通构成用于料液进行循环蒸发的料液循环回路，分离器与蒸汽压缩机连通，以使分离器内料液蒸发产生的蒸汽进入蒸汽压缩机内压缩成高温高压蒸汽，蒸汽压缩机与蒸馏水罐连通，以使高温高压蒸汽进入蒸馏水管中，蒸馏水罐与蒸发换热器连通构成用于蒸汽与料液进行换热的汽液循环回路，以使高温高压蒸汽进入蒸发换热器中对料液循环回路中的料液进行热交换加热，并使高温高压蒸汽冷凝后产生的蒸馏水重新进入蒸馏水罐中与蒸馏水罐中的过热蒸汽进行热交换，从而降低过热蒸汽的温度并使蒸馏水罐中蒸馏水沸腾产生饱和蒸汽。 【EN】The invention discloses an MVR evaporation device and an evaporation method for efficient energy recovery, which comprises a vapor compressor, an evaporation heat exchanger, a separator and a distilled water tank, wherein the separator is communicated with the evaporation heat exchanger to form a feed liquid circulation loop for feed liquid to be circularly evaporated, the separator is communicated with the vapor compressor so that vapor generated by the evaporation of the feed liquid in the separator enters the vapor compressor to be compressed into high-temperature high-pressure vapor, the vapor compressor is communicated with the distilled water tank so that the high-temperature high-pressure vapor enters a distilled water pipe, the distilled water tank is communicated with the evaporation heat exchanger to form a vapor-liquid circulation loop for the heat exchange between the vapor and the feed liquid, so that the high-temperature high-pressure vapor enters the evaporation heat exchanger to carry out heat exchange heating on the feed liquid in the feed liquid circulation loop, and distilled water generated after the condensation of the high-temperature high-pressure vapor enters the distilled water tank, thereby lowering the temperature of the superheated steam and boiling the distilled water in the distilled water tank to produce saturated steam.

摘要：【中文】本发明公开了一种轮胎破碎方法和轮胎破碎系统，用于提高轮胎的破碎效率。在本发明实施例的轮胎破碎方法中，获取轮胎的轮廓数据后，根据轮廓数据，移动破碎设备的水刀至目标工作位置。其中，目标工作位置为水刀达到预设破碎角度和预设破碎距离的位置，预设破碎角度为水刀喷射的水流和轮胎的破碎位置所在的平面之间的预设夹角，预设破碎距离为水刀的喷水口至破碎位置之间的预设距离。控制位于目标工作位置的水刀向破碎位置喷射水流，以破碎轮胎。通过控制水刀和轮胎的破碎位置之间的相对距离和角度，可以让水刀处于利于破碎的位置，使得水刀喷射的水流能充分破碎轮胎，从而提高轮胎的破碎效率。 【EN】The invention discloses a tire crushing method and a tire crushing system, which are used for improving the crushing efficiency of tires. According to the tire crushing method provided by the embodiment of the invention, after the contour data of the tire is acquired, the water jet of the crushing equipment is moved to the target working position according to the contour data. The target working position is a position where the water jet cutter reaches a preset crushing angle and a preset crushing distance, the preset crushing angle is a preset included angle between a water flow jetted by the water jet cutter and a plane where the crushing position of the tire is located, and the preset crushing distance is a preset distance between a water jet of the water jet cutter and the crushing position. And controlling a water jet cutter positioned at the target working position to jet water flow to the crushing position so as to crush the tire. Through relative distance and the angle between the broken position of control water sword and tire, can let the water sword be in and do benefit to broken position for the water current of water sword spraying can fully break the tire, thereby improves the crushing efficiency of tire.

摘要：【中文】本发明公开了一种纳米颗粒团聚型纳米多孔电化学驱动器及其制备和测试方法，该驱动器包括柔性导体材料的沉积基底和沉积在沉积基底上的驱动薄膜；该制备方法利用高能激光束轰击实现靶材从固态—等离子态—固态的转变，从而可在不同基底上形成纳米颗粒团聚型纳米多孔驱动薄膜。通过调控靶基间距、基底转速、沉积温度等制备条件，可获得颗粒粒径可控的纳米多孔电化学驱动器。克服了传统电化学驱动器不可兼顾响应速率与变形能力的不足；通过缩短离子嵌入路径、提升离子吸附能力，驱动速率与变形幅值得以同步提升。本发明驱动器响应速率快、驱动幅值高、载物驱动能力强、工艺简单且成本低廉，其可推动电化学驱动器在小型医疗器械、微纳机电系统等领域的应用。 【EN】The invention discloses a nano-particle agglomeration type nano-porous electrochemical driver and a preparation and test method thereof, wherein the driver comprises a deposition substrate made of a flexible conductor material and a driving film deposited on the deposition substrate; the preparation method utilizes high-energy laser beam bombardment to realize the conversion of the target material from a solid state to a plasma state to a solid state, thereby forming the nanoparticle aggregation type nanoporous driving thin film on different substrates. The nano porous electrochemical driver with controllable particle size can be obtained by regulating and controlling the preparation conditions such as target-substrate distance, substrate rotating speed, deposition temperature and the like. The defect that the response rate and the deformability of the traditional electrochemical driver cannot be considered at the same time is overcome; by shortening the ion embedding path and improving the ion adsorption capacity, the driving speed and the deformation amplitude are synchronously improved. The driver has the advantages of high response speed, high driving amplitude, strong carrying driving capability, simple process and low cost, and can promote the application of the electrochemical driver in the fields of small-sized medical instruments, micro-nano electromechanical systems and the like.

摘要：【中文】本发明提供的分析仪及其样本编号方法、存储介质，响应于用户输入的编辑样本的标志号的指令，接收用户输入的标志号；所述标志号用于对样本进行编号；判断所述标志号是否是已分析样本的标志号，若是，则提示用户输入的标志号为重复标志号；否则，将用户输入的标志号作为起始标志号，根据预设的编号规则对待分析的样本依次编号，使样本被分析后均具有一标志号。由于编号规则是一定的，各个标识号正确与否与起始标志号息息相关，通过判断用户输入的标志号是否是已分析样本的标志号，降低了错误的样本标志号出现的概率。 【EN】The analyzer, the sample numbering method and the storage medium thereof respond to a command of editing the mark number of the sample input by a user and receive the mark number input by the user; the mark number is used for numbering samples; judging whether the mark number is the mark number of the analyzed sample, if so, prompting the user that the input mark number is a repeated mark number; otherwise, the mark number input by the user is used as an initial mark number, and the samples to be analyzed are numbered in sequence according to a preset numbering rule, so that the samples have a mark number after being analyzed. Because the numbering rule is certain, whether each identification number is correct or not is closely related to the initial mark number, and the probability of the occurrence of the wrong sample mark number is reduced by judging whether the mark number input by the user is the mark number of the analyzed sample.

摘要：【中文】本申请提供一种数据筛选方法、装置、设备及计算机可读存储介质，该方法包括：获取目标数据集；基于预设的数据评分模型，对所述目标数据集中的每个面试回答文本进行评分，得到每个所述面试回答文本的评分数值，其中，所述数据评分模型基于多任务深度神经网络实现；根据每个所述面试回答文本的评分数值，对所述目标数据集进行筛选处理，得到符合预设条件的面试回答文本。本申请涉及智能决策和神经网络，可以有效的提高岗位候选人的筛选准确性。 【EN】The application provides a data screening method, a device, equipment and a computer readable storage medium, wherein the method comprises the following steps: acquiring a target data set; scoring each interview answer text in the target data set based on a preset data scoring model to obtain a scoring value of each interview answer text, wherein the data scoring model is realized based on a multitask deep neural network; and screening the target data set according to the scoring value of each interview answer text to obtain the interview answer text meeting preset conditions. The application relates to an intelligent decision and neural network, which can effectively improve the screening accuracy of post candidates.

摘要：【中文】本发明涉及一种人工智能技术，揭露了一种中文命名实体识别方法，包括：接收原始文本集并进行去噪、去停用词及标注处理后得到标准文本集，将所述标准文本集进行聚类操作得到类簇个数及聚类中心，基于所述类簇个数及所述聚类中心，将所述标准文本集建立后验概率模型，优化所述后验概率模型得到标准词向量集，将所述标准词向量集输入至预先构建的命名实体识别模型中训练得到训练后的命名实体识别模型，接收用户输入的文本集，计算所述文本集得到词向量集，将所述词向量集输入至所述训练后的命名实体识别模型得到命名识别结果。本发明还提出一种中文命名实体识别装置以及一种计算机可读存储介质。本发明可以实现精准的中文命名实体识别功能。 【EN】The invention relates to an artificial intelligence technology, and discloses a Chinese named entity recognition method, which comprises the following steps: the method comprises the steps of receiving an original text set, conducting denoising, stop word removing and labeling processing to obtain a standard text set, conducting clustering operation on the standard text set to obtain cluster number and a clustering center, building a posterior probability model for the standard text set based on the cluster number and the clustering center, optimizing the posterior probability model to obtain a standard word vector set, inputting the standard word vector set into a pre-built named entity recognition model for training to obtain a trained named entity recognition model, receiving a text set input by a user, calculating the text set to obtain a word vector set, and inputting the word vector set into the trained named entity recognition model to obtain a named recognition result. The invention also provides a Chinese named entity recognition device and a computer readable storage medium. The invention can realize the precise Chinese named entity recognition function.

摘要：【中文】本发明涉及合成具有高效双光子吸收的共价有机框架材料的技术领域，具体涉及一种高效双光子吸收性能的错层共价有机框架材料及其制备方法，所述共价有机框架材料为COF‑601至COF‑606中的任意一种。本发明的高效双光子吸收性能的错层共价有机框架材料分子结构为双层结构，其分子结构为双层交错结构，其中上层和下层的分子结构式一样且存在C2对称中心，两层之间存在0.4nm的错层，具有高的晶态和比表面，本发明将本身双光子吸收性能很差的单体组装成对应的二维COF样品后，其双光子吸收性能有16至110倍的提升，其性能提升主要来自于其错层的结构，有效的降低了聚集导致的荧光淬灭现象。 【EN】The invention relates to the technical field of synthesis of covalent organic framework materials with efficient two-photon absorption, in particular to a staggered-layer covalent organic framework material with efficient two-photon absorption performance and a preparation method thereof, wherein the covalent organic framework material is any one of COF-601-COF-606. The molecular structure of the high-efficiency two-photon absorption staggered-layer covalent organic framework material is a double-layer structure, the molecular structure of the high-efficiency two-photon absorption staggered-layer covalent organic framework material is a double-layer staggered structure, the molecular structural formulas of an upper layer and a lower layer are the same, a C2 symmetric center exists, a 0.4nm staggered layer exists between the two layers, and the high crystalline state and the specific surface are provided.

摘要：【中文】本申请提供了一种基于文本匹配的智能面试方法、装置、计算机设备和计算接可读存储介质，涉及语义分析领域，其中方法包括：获取面试文本和标准文本；根据第一预设规则分别对所述面试文本和所述标准文本进行向量转化，得到所述面试文本对应的第一向量和所述标准文本对应的第二向量；计算所述第一向量和所述第二向量之间的相似度；根据所述相似度匹配对应的面试分数。本申请将面试文本和标准文本通过上述处理后得到的第一向量和第二向量，可以最大程度的表现出文本本身所要表达的词义，从而使得基于向量层面上的文本相似度匹配的精确度大幅度提高，实现智能面试的高精准性和客观性。 【EN】The application provides an intelligent interviewing method, an intelligent interviewing device, computer equipment and a computer readable storage medium based on text matching, and relates to the field of semantic analysis, wherein the method comprises the following steps: acquiring an interview text and a standard text; respectively carrying out vector conversion on the interview text and the standard text according to a first preset rule to obtain a first vector corresponding to the interview text and a second vector corresponding to the standard text; calculating a similarity between the first vector and the second vector; and matching corresponding interview scores according to the similarity. According to the method and the device, the first vector and the second vector obtained after the interview text and the standard text are processed can show the word meaning to be expressed by the text to the maximum extent, so that the accuracy of text similarity matching on the vector level is greatly improved, and the high accuracy and objectivity of intelligent interview are realized.

摘要：【中文】本发明实施例提供一种场景深度的确定方法、装置、设备及存储介质，该方法包括：获取双目视觉传感器采集的第一左右图像；采用第一视差网络模型对第一左右图像进行立体匹配，以获得第一视差图，第一视差网络模型是以计算每对第二左图像和对应的第一伪图像中除遮挡区域外的有效区域的第一图像相似性损失，以对第二视差网络模型训练至收敛后得到的；利用双目视觉传感器的参数将第一视差图转换为对应场景的深度。第一视差网络模型能够避免遮挡区域影响到有效区域的损失和整个视差网络模型的训练结果，使第一视觉网络模型更加适用于存在遮挡区域的第一视差图，使得到的第一视差图更加清晰平滑，更加符合真实视差，进而使确定的场景深度更加准确。 【EN】The embodiment of the invention provides a method, a device, equipment and a storage medium for determining scene depth, wherein the method comprises the following steps: acquiring a first left image and a first right image acquired by a binocular vision sensor; performing stereo matching on the first left image and the first right image by adopting a first parallax network model to obtain a first parallax image, wherein the first parallax network model is obtained by calculating the first image similarity loss of an effective area except for a shielding area in each pair of second left images and corresponding first pseudo images and training the second parallax network model to be convergent; and converting the first disparity map into the depth of the corresponding scene by using the parameters of the binocular vision sensor. The first parallax network model can avoid the influence of the shielding area on the loss of the effective area and the training result of the whole parallax network model, so that the first vision network model is more suitable for the first parallax image with the shielding area, the obtained first parallax image is clearer and smoother, the real parallax image is more consistent, and the determined scene depth is more accurate.