摘要：【中文】本发明实施例提供了一种多币种资金池可支付额度预警方法、装置、设备及可读存储介质，其中方法包括：在对账户进行额度值调整后，计算账户所属的多币种资金池的可支付额度；判断多币种资金池的可支付额度是否小于触发阈值，若是，则发送预警信息至账户对应的用户。这样可以多币种资金池的可支付额度小于一定值时，第一时间通知用户，用户可以及时了解其多币种资金池的可支付额度，进而提高了用户体验。 【EN】The embodiment of the invention provides a method, a device, equipment and a readable storage medium for early warning of the payable amount of a multi-currency capital pool, wherein the method comprises the following steps: after the account is adjusted in the amount value, the payable amount of a multi-currency fund pool to which the account belongs is calculated; and judging whether the payable amount of the multi-currency fund pool is smaller than a trigger threshold value, and if so, sending early warning information to a user corresponding to the account. Therefore, when the payable amount of the multi-currency fund pool is smaller than a certain value, the user can be informed at the first time, and the user can know the payable amount of the multi-currency fund pool in time, so that the user experience is improved.

摘要：【中文】本发明公开了一种铝型材喷涂生产线，其包括输送装置、喷涂装置和若干个夹持装置；输送装置包括机架、设于机架上方的转盘和转动块；夹持装置位于转盘上；夹持装置包括传动块、夹持块和驱动块；传动块包括旋转轴、偏心轮、连接臂、呈立式设置的连接轴和旋转套组；旋转套组包括固定套和转动套；转动套的外壁上绕其周侧设有螺纹；机架上沿导轨的导向设有齿条块；齿条块与转动套的螺纹啮合连接；连接轴远离连接臂的一端周向朝外延伸有抵接块；夹持块包括夹持机构和安装块。其有效的解决了夹持装置功能单一、无法适应各类尺寸的铝型材，而且在喷涂过程中效率低且需要人工辅助的问题；本发明还具有自动化水平高，喷涂效果好具有很好的实用性的优点。 【EN】The invention discloses an aluminum profile spraying production line which comprises a conveying device, a spraying device and a plurality of clamping devices, wherein the conveying device is arranged on the conveying device; the conveying device comprises a rack, a turntable and a rotating block, wherein the turntable and the rotating block are arranged above the rack; the clamping device is positioned on the turntable; the clamping device comprises a transmission block, a clamping block and a driving block; the transmission block comprises a rotating shaft, an eccentric wheel, a connecting arm, a connecting shaft and a rotating sleeve set which are vertically arranged; the rotating sleeve set comprises a fixed sleeve and a rotating sleeve; the outer wall of the rotating sleeve is provided with threads around the periphery of the rotating sleeve; a rack block is arranged on the rack along the guide of the guide rail; the rack block is meshed with the thread of the rotating sleeve; one end of the connecting shaft, which is far away from the connecting arm, extends outwards in the circumferential direction to form a butting block; the clamping block comprises a clamping mechanism and a mounting block. The clamping device effectively solves the problems that the clamping device has single function, cannot adapt to aluminum profiles of various sizes, is low in efficiency in the spraying process and needs manual assistance; the invention also has the advantages of high automation level, good spraying effect and good practicability.

摘要：【中文】本发明公开了一种浏览器请求的访问权限的识别方法、识别装置及终端，该方法包括：识别装置根据终端的系统信息，计算标识系统信息的第一AID；根据系统信息和终端的操作系统的session信息的校验值，对系统信息和session信息进行权力标识，得到标识浏览器请求的访问权限的权力标识信息；根据浏览器请求的HTTP/HTTPS协议的Header和权力标识信息，识别浏览器请求的访问权限；Header包括校验值、第一AID和session信息。通过这种方式，识别装置可以在不借助于任何设备的前提下，对终端的操作者、系统应用等属性进行合规性评估，从而可以对终端的认证做到精准地授权访问权限，提高了网络的安全性。 【EN】The invention discloses a method, a device and a terminal for identifying the access authority requested by a browser, wherein the method comprises the following steps: the identification device calculates a first AID identifying the system information according to the system information of the terminal; according to the system information and the check value of the session information of the operating system of the terminal, right identification is carried out on the system information and the session information to obtain right identification information for identifying the access right requested by the browser; identifying the access authority requested by the browser according to the Header and the authority identification information of the HTTP/HTTPS protocol requested by the browser; the Header includes a check value, a first AID, and session information. By the method, the identification device can perform compliance evaluation on attributes such as an operator and system application of the terminal on the premise of not using any equipment, so that the access right can be accurately authorized for the authentication of the terminal, and the network security is improved.

摘要：【中文】本发明涉及一种基于排气回收的气动集成系统及其控制方法，基于排气回收的气动集成系统包括气缸，在该气缸上设置有与无杆腔连通的第一气孔，和与有杆腔连通的第二气孔；气罐，与气缸可拆卸固定连接，在气罐的外侧安装有气动模块和回收模块，气动模块的一端与气源连接，另一端与第一气孔和第二气孔连接，用于驱动气缸的活塞杆做伸缩运动，回收模块的一端与气罐的内部连通，另一端与所述气缸的内部连通，用于回收所述气缸内排出的气体；在所述气罐的罐壁内部设置有气路连接结构，该气路连接结构在所述气罐的外侧形成有若干接口，所述气缸、气动模块、回收模块和气源分别与相应的接口连接。本发明可以减小气动系统的空间占比同时便于移动。 【EN】The invention relates to a pneumatic integrated system based on exhaust recovery and a control method thereof, wherein the pneumatic integrated system based on exhaust recovery comprises a cylinder, wherein a first air hole communicated with a rodless cavity and a second air hole communicated with a rod cavity are formed in the cylinder; the gas tank is detachably and fixedly connected with the cylinder, a pneumatic module and a recovery module are installed on the outer side of the gas tank, one end of the pneumatic module is connected with a gas source, the other end of the pneumatic module is connected with the first gas hole and the second gas hole and used for driving a piston rod of the cylinder to do telescopic motion, one end of the recovery module is communicated with the inside of the gas tank, and the other end of the recovery module is communicated with the inside of the cylinder and used for recovering gas exhausted from the cylinder; the gas tank is characterized in that a gas path connecting structure is arranged in the tank wall of the gas tank, a plurality of interfaces are formed on the outer side of the gas tank through the gas path connecting structure, and the cylinder, the pneumatic module, the recovery module and the gas source are respectively connected with the corresponding interfaces. The invention can reduce the space ratio of the pneumatic system and is convenient to move.

摘要：【中文】本发明公开了一种高光谱影像的混合像元分解方法，其特点是采用空间预处理及正六边形初始化分割技术，将影像分割为一些光谱相关性和空间相关性均较高的区域，并通过在这些高相关性的区域进行PCA投影，选择在投影轴极值附近位置的像素来选择候选端元。本发明与现有技术相比具有大幅缩减参与端元提取的像素个数，有效的解决了庞大数据量使得许多混合像元分解算法失效问题，为处理大数据量的高光谱遥感影像提供了一个简便、高效率的分解算法。 【EN】The invention discloses a mixed pixel decomposition method of a hyperspectral image, which is characterized in that a spatial preprocessing and regular hexagon initialization segmentation technology is adopted to segment the image into regions with higher spectral correlation and spatial correlation, PCA projection is carried out on the regions with high correlation, and pixels at positions near the extreme value of a projection axis are selected to select candidate end members. Compared with the prior art, the method has the advantages that the number of pixels participating in end member extraction is greatly reduced, the problem that a large amount of data causes failure of a plurality of mixed pixel decomposition algorithms is effectively solved, and a simple and efficient decomposition algorithm is provided for processing a large amount of data of the hyperspectral remote sensing image.

摘要：【中文】本发明公开了一种基于升降轨时序InSAR技术的煤矿区地表形变监测方法，其特点是该方法包括：获取C和X波段的若干景SAR影像、生成短基线集、差分干涉图、获取高相干点并构建方程以及获取地表形变信息等步骤。本发明与现有技术相比具有突破了单一SAR卫星平台InSAR技术只能获得雷达视线方向形变信的局限，有效地减弱了时空失相干、相位解缠误差和大气延迟误差等影响，提高了InSAR技术监测地表形变信息的精度和可靠性，推进了InSAR技术在形变监测领域的广泛应用。 【EN】The invention discloses a coal mine area ground surface deformation monitoring method based on a lifting rail time sequence InSAR technology, which is characterized by comprising the following steps: the method comprises the steps of obtaining a plurality of scene SAR images of C and X wave bands, generating a short baseline set, generating a differential interference map, obtaining high coherence points, constructing an equation, obtaining surface deformation information and the like. Compared with the prior art, the method has the advantages that the limitation that only the radar sight direction deformation information can be obtained by the InSAR technology of a single SAR satellite platform is broken through, the influences of space-time incoherent, phase unwrapping errors, atmospheric delay errors and the like are effectively weakened, the accuracy and the reliability of monitoring the surface deformation information by the InSAR technology are improved, and the wide application of the InSAR technology in the deformation monitoring field is promoted.

摘要：【中文】本发明公开了一种基于高光谱数据的土壤墒情检测方法，其特点是该方法包括：1）采集在目标区域具有不同质地、理化性质相异的土壤样本；2）构建土壤墒情‑光谱数据库，获取各土壤样本在不同含水量梯度下的光谱数据；3）构建各个土壤样本的含水量‑光谱反射率辐射传输物理模型和预测最优波段；4）根据光谱角度匹配方法，判断待实测光谱所属模型，获取对应的模型参数，输入对应的最佳波段反射率，解算土壤墒情。本发明与现有技术相比具有坚实的物理基础，模型稳定性和精度均大大提高，并具有较强的普适性，尤其适合不同土壤类型的土壤墒情动态监测和广泛运用。 【EN】The invention discloses a soil moisture content detection method based on hyperspectral data, which is characterized by comprising the following steps: 1) collecting soil samples with different textures and different physical and chemical properties in a target area; 2) constructing a soil moisture content-spectrum database, and acquiring spectral data of each soil sample under different water content gradients; 3) constructing a water content-spectral reflectivity radiation transmission physical model and predicting an optimal wave band of each soil sample; 4) and judging the model of the spectrum to be measured according to the spectrum angle matching method, acquiring corresponding model parameters, inputting the corresponding optimal waveband reflectivity, and calculating the soil moisture content. Compared with the prior art, the method has a solid physical foundation, greatly improves the stability and the precision of the model, has stronger universality, and is particularly suitable for dynamic monitoring and wide application of soil moisture content of different soil types.

摘要：【中文】本发明提供了一种基于显著性检测与深度孪生神经网络的遥感影像变化检测方法，其特点是该方法包括：两时相遥感影像的预处理；对差值影像进行归一化处理；多尺度分割及合并优化；显著性检测图的获得；建立双窗口深度孪生卷积网络模型及其训练；将分割对象与像素级变化检测结果通过判定融合，最终得到变化检测结果图。本发明将深度学习成功运用到变化检测领域，减少了高分辨率影像变化检测中存在的“椒盐噪声”，有效提高了变化类型检测的精度。 【EN】The invention provides a remote sensing image change detection method based on significance detection and a depth twin neural network, which is characterized by comprising the following steps of: preprocessing the two-time phase remote sensing image; carrying out normalization processing on the difference image; multi-scale segmentation and merging optimization; obtaining a significance detection graph; establishing a double-window depth twin convolution network model and training the model; and fusing the segmentation object and the pixel level change detection result through judgment to finally obtain a change detection result graph. The invention successfully applies the deep learning to the field of change detection, reduces the salt and pepper noise in the high-resolution image change detection, and effectively improves the precision of the change type detection.

摘要：【中文】本发明公开了一种协同表示和异常剔除的高光谱异常检测方法，其特点是采用融合全局异常与局部异常的剔除方法对局部背景集中的异常像素进行去除，基于协同表示的高光谱异常检测算法，计算线性表示系数并求得残差影像，最后通过设定阈值，将检测值大于阈值的像元标记为异常点，得到异常目标检测结果。本发明与现有技术相比具有提高线性表示的精度和检测精度，有效解决了基于协同表示的高光谱异常检测算法中窗口选择，以及双窗口的异常像元污染背景集问题。 【EN】The invention discloses a hyperspectral anomaly detection method based on collaborative representation and anomaly rejection, which is characterized in that an elimination method fusing global anomaly and local anomaly is adopted to remove abnormal pixels in a local background set, a linear representation coefficient is calculated and a residual image is obtained based on a hyperspectral anomaly detection algorithm based on collaborative representation, and finally a pixel of which the detection value is greater than a threshold value is marked as an anomaly point by setting the threshold value, so that an abnormal target detection result is obtained. Compared with the prior art, the method has the advantages of improving the accuracy of linear representation and the detection accuracy, and effectively solving the problems of window selection in a hyperspectral anomaly detection algorithm based on collaborative representation and background set pollution caused by dual-window anomaly pixels.

摘要：【中文】本发明提供的基于自注意力自编码器的序列推荐方法，包括：获取用户商品序列和评分矩阵，并对商品序列进行预处理；使用自注意力模型对商品序列进行训练，预测用户与商品的关联性得分；使用自编码器对评分矩阵重建，计算用户喜爱度指数；结合用户与商品的关联性得分和用户喜爱度指数，得到高得分的商品为用户优先推荐。本发明提供的基于自注意力自编码器的序列推荐方法，利用词嵌入的方法将用户的物品浏览序列转化为低维稠密向量，结合位置编码输入自注意力模型中，再利用自编码器对评分矩阵的拟合和重建，计算用户喜爱度指数，最后得到最终的预测得分，为用户做出推荐，该方法同时考虑用户长、短期偏好等因素，有效地提升了推荐精度。 【EN】The sequence recommendation method based on the self-attention self-encoder provided by the invention comprises the following steps: acquiring a user commodity sequence and a scoring matrix, and preprocessing the commodity sequence; training the commodity sequence by using a self-attention model, and predicting the relevance score of the user and the commodity; reconstructing the scoring matrix by using an autoencoder, and calculating a user preference index; and combining the relevance scores of the users and the commodities and the user preference indexes to obtain the commodities with high scores to be preferentially recommended by the users. According to the sequence recommendation method based on the self-attention self-encoder, provided by the invention, the word embedding method is utilized to convert the item browsing sequence of the user into a low-dimensional dense vector, the low-dimensional dense vector is input into a self-attention model in combination with position encoding, the user preference index is calculated by utilizing the fitting and reconstruction of the self-encoder to a scoring matrix, and finally the final prediction score is obtained to recommend the user.