摘要：【中文】本发明公开了一种基于新型二阶滑模算法的boost功率变换器控制方法，基于boost功率变换器非线性、变结构的特性，及传统控制方法自身的局限性，提出了一种用于boost功率变换器的新型二阶滑模控制方案。本发明方法不仅考虑了状态空间中的位置误差，而且考虑了误差状态的运动信息；其次，误差状态按照指数收敛于滑模面，加快了系统的收敛速度；同时控制方法的系数因式与状态变量相关，可以对输出进行良好的跟踪。此控制方法可实现输出电压快速调节，与传统滑模和传统PID方法相比，本发明中的二阶滑模控制方法具有响应速度快、纹波小、抗干扰能力强、鲁棒性好等优点。同时还可以降低传统一阶滑模中存在的抖振问题，从而显著提高了boost变换器控制器的性能。 【EN】The invention discloses a boost power converter control method based on a novel second-order sliding mode algorithm, and provides a novel second-order sliding mode control scheme for a boost power converter based on the characteristics of nonlinearity and variable structure of the boost power converter and the self limitation of the traditional control method. The method not only considers the position error in the state space, but also considers the motion information of the error state; secondly, the error state converges on the sliding mode surface according to the index, so that the convergence speed of the system is accelerated; meanwhile, the coefficient factor of the control method is related to the state variable, and the output can be well tracked. The control method can realize the rapid regulation of the output voltage, and compared with the traditional sliding mode and the traditional PID method, the second-order sliding mode control method has the advantages of high response speed, small ripple, strong anti-jamming capability, good robustness and the like. Meanwhile, the buffeting problem existing in the traditional first-order sliding mode can be reduced, and therefore the performance of the boost converter controller is obviously improved.

摘要：【中文】一种基于预测的自动变速器多参数融合换挡策略，包括如下步骤：基于车辆行驶工况的历史信息，通过所建立的深度神经网络算法模型(DNN)，对未来短时域工况进行预测，基于模型预测架构(MPC)，根据预测的行驶工况信息，通过动态规划滚动优化算法，对预测时域进行挡位寻优，得到使得在预测时域内代价函数最小的变速箱挡位控制序列；将动态规划滚动优化算法寻得的优化控制序列发送至各个低层控制器，控制变速箱以及电机等整车部件进行响应。实现驾驶员‑车辆‑环境闭环系统的智能化换挡，在保证动力性的前提下，实现车辆的经济性换挡。 【EN】A predictive-based multi-parameter fusion shift strategy for an automatic transmission, comprising the steps of: predicting a future short-time-domain working condition through an established deep neural network algorithm model (DNN) based on historical information of a vehicle running working condition, and optimizing gears in a prediction time domain through a dynamic programming rolling optimization algorithm according to predicted running working condition information based on a model prediction framework (MPC) to obtain a transmission gear control sequence with a minimum cost function in the prediction time domain; and sending the optimized control sequence searched by the dynamic programming rolling optimization algorithm to each low-level controller, and controlling the whole vehicle parts such as a gearbox, a motor and the like to respond. The intelligent gear shifting of a driver-vehicle-environment closed-loop system is realized, and the economical gear shifting of the vehicle is realized on the premise of ensuring the dynamic property.

摘要：【中文】本发明公开了一种基于多时滞因果熵的基因调控网络构建方法及系统，对输入的时间序列基因表达数据划分成不同时滞下的时间窗口；对t个时间片的基因表达数据，分别构建t‑τ个时间窗口下的基因表达矩阵，对每一对基因，计算t时间窗口下的目标基因与之前t‑τ个时间窗口下基因的多时滞转移熵，得到一个多时滞下的基因相关性矩阵，矩阵的元素代表基因之间存在边的概率，并对矩阵通过k‑means将边聚类分成两类，过滤掉低概率的边簇，对剩下的每条边计算在条件基因下的多时滞条件转移熵，对最大因果熵小于阈值的间接调控的边过滤掉，获得最终的网络结构。本发明有效提高了推断的准确性。 【EN】The invention discloses a gene regulation and control network construction method and a system based on multi-time-lag causal entropy, wherein input time sequence gene expression data is divided into time windows under different time lags; for gene expression data of t time slices, gene expression matrixes under t-tau time windows are respectively constructed, for each pair of genes, multi-time-lag transfer entropy of a target gene under the t time window and genes under the t-tau time windows before is calculated, a gene correlation matrix under multi-time lag is obtained, elements of the matrix represent the probability of edges between the genes, the edges of the matrix are clustered into two classes through k-means, low-probability edge clusters are filtered, multi-time-lag conditional transfer entropy under conditional genes is calculated for each remaining edge, indirectly regulated edges with the maximum causal entropy smaller than a threshold value are filtered, and a final network structure is obtained. The invention effectively improves the accuracy of inference.

摘要：【中文】本发明公开了一种热陶瓷生产用真空挤出机，包括挤出机本体，所述挤出机本体的上端侧壁设有进料管，所述进料管的一侧侧壁固定连接有第一电机，且第一电机的输出轴贯穿进料管的侧壁设置，所述第一电机的输出轴固定连接有第一挤压齿轮，且进料管的内壁通过第一转轴转动连接有与第一挤压齿轮匹配的第二挤压齿轮，所述挤出机本体的上端侧壁固定连接有第二电机，且第二电机的输出轴固定连接有转盘，所述转盘远离圆心的侧壁通过第二转轴转动连接有倾斜设置的筛板。本发明对结块物料进行多次粉碎，直至完全粉碎才投入到挤出机本体中进行下一步骤的加工，确保原料可以进行均匀混合以提高制成产品的质量。 【EN】The invention discloses a vacuum extruder for producing thermal ceramics, which comprises an extruder body, wherein a feeding pipe is arranged on the side wall of the upper end of the extruder body, a first motor is fixedly connected to the side wall of one side of the feeding pipe, an output shaft of the first motor penetrates through the side wall of the feeding pipe, a first extrusion gear is fixedly connected to the output shaft of the first motor, a second extrusion gear matched with the first extrusion gear is rotatably connected to the inner wall of the feeding pipe through a first rotating shaft, a second motor is fixedly connected to the side wall of the upper end of the extruder body, a rotating disc is fixedly connected to the output shaft of the second motor, and a sieve plate which is obliquely arranged is rotatably connected to the side wall, far away from the center of a circle, of the rotating disc through a. According to the invention, the caking materials are crushed for multiple times, and are not put into the extruder body until being completely crushed for the next step of processing, so that the raw materials can be uniformly mixed to improve the quality of the prepared product.

摘要：【中文】本发明涉及一种蓄电池在线监控装置的网络安全管理系统，其包多个蓄电池在线监控装置、监测主机、监控服务器、多个安全客户端；其中，监控服务器用于响应安全客户端的操作指示，生成控制命令发送给蓄电池在线监控装置；蓄电池在线监控装置用于接收来自所述监控服务器的控制命令，进行执行，并将执行结果反馈给监控服务器。本发明还公开了相应的方法。实施本发明，可以远程控制位于各变电站中的蓄电池在线监控装置，并提高网络管理的效率，以及提高网络安全性。 【EN】The invention relates to a network security management system of a storage battery online monitoring device, which comprises a plurality of storage battery online monitoring devices, a monitoring host, a monitoring server and a plurality of security clients; the monitoring server is used for responding to the operation instruction of the safety client, generating a control command and sending the control command to the storage battery online monitoring device; the storage battery online monitoring device is used for receiving the control command from the monitoring server, executing the control command and feeding back an execution result to the monitoring server. The invention also discloses a corresponding method. By implementing the invention, the storage battery on-line monitoring device in each transformer substation can be remotely controlled, the network management efficiency is improved, and the network safety is improved.

摘要：【中文】本发明公开了一种基于风云气象卫星的海面盐度反演算法，包括以下步骤：S1:训练自变量(X)：根据回归任务需要增加隐藏层数量，搭建了用于深度神经网络进行海表盐度卫星反演算法模型，为4波段卫星观测遥感反射率(Rrs)、aCDOM、海表温度(SST)、悬浮物浓度(TSM)共4个自变量；S2:测量海表盐度(Y):通过深度学习模型建立了aCDOM、SST、TSM与海表盐度的关系，利用FY‑3D/MERSI全球观测能力，实现全球海表盐度的观测。本发明基于深度学习方法建立了国产风云气象卫星(FY‑3D/MERSI)的海面盐度反演算法，实现了对海表盐度的高时空分辨率的观测，SMOS和Aquarius/SAC‑D卫星由于其低时空分辨率及数据质量等局限性，导致海表盐度数据覆盖率低，使海表盐度得不到高时空分辨率的观测问题。 【EN】The invention discloses a sea surface salinity inversion algorithm based on a wind cloud meteorological satellite, which comprises the following steps of: s1 training argument (X): increasing the number of hidden layers according to the requirement of a regression task, and constructing a model for a deep neural network to perform sea surface salinity satellite inversion algorithm, wherein the model is 4 independent variables of 4-waveband satellite observation remote sensing reflectivity (Rrs), aCDOM, Sea Surface Temperature (SST) and suspended matter concentration (TSM); and S2, sea surface salinity (Y) measurement, namely establishing the relationship between aCDOM, SST, TSM and sea surface salinity through a deep learning model, and realizing the observation of the global sea surface salinity by utilizing the global observation capability of FY-3D/MERSI. The invention establishes a sea surface salinity inversion algorithm of a domestic wind cloud meteorological satellite (FY-3D/MERSI) based on a deep learning method, realizes the observation of high space-time resolution of sea surface salinity, and solves the problems that the sea surface salinity data coverage rate is low and the sea surface salinity cannot be observed with high space-time resolution due to the limitations of low space-time resolution, data quality and the like of SMOS and Aquarius/SAC-D satellites.

摘要：【中文】本申请实施例提供了图像质量评估模型训练方法、装置、电子设备及存储介质，利用已知图像质量高低的样本对，对第一模型进行初步训练，得到第二模型，能够使第二模型学习到不同图像质量程度的图像的特征；再利用少量标记有图像质量的样本图像对第二模型进行分类训练，从而得到图像质量评估模型。通过将样本对加入训练，能够大大增加训练数据集的数量，使得深度学习模型有丰富的学习素材，减少过拟合的情况，能够增加模型的性能。 【EN】The embodiment of the application provides an image quality evaluation model training method and device, electronic equipment and a storage medium, wherein a first model is preliminarily trained by using a sample pair with known image quality high and low to obtain a second model, so that the second model can learn the characteristics of images with different image quality degrees; and then, carrying out classification training on the second model by using a small number of sample images marked with image quality, thereby obtaining an image quality evaluation model. Through training the sample pair adding, the number of the training data sets can be greatly increased, so that the deep learning model has abundant learning materials, the overfitting condition is reduced, and the performance of the model can be increased.

摘要：【中文】本发明公开了一种用于海水基可循环清洁压裂液的表面活性剂及其制备方法，其中用于海水基可循环清洁压裂液的表面活性剂包括兼具pH调控和耐盐的N‑脂酰‑O‑硫酸丝氨酸表面活性剂、N‑脂酰磺基丙氨酸盐表面活性剂、N‑脂酰‑O‑磷酸丝氨酸表面活性剂，以及上述表面活性剂和增粘助剂复配得到海水基可循环清洁压裂液，用于解决现有海水基压裂液无法循环利用、对地层伤害大和配液步骤繁琐等技术问题；本发明制备获取的N‑脂酰‑O‑硫酸丝氨酸表面活性剂、N‑脂酰磺基丙氨酸盐表面活性剂和N‑脂酰‑O‑磷酸丝氨酸表面活性剂，利用其自身pH响应性能实现清洁压裂液的多次循环利用，消除了返排液带来的环境污染难题，大大提高压裂改造效果和压裂施工效率，值得推广。 【EN】The invention discloses a surfactant for a seawater-based recyclable clean fracturing fluid and a preparation method thereof, wherein the surfactant for the seawater-based recyclable clean fracturing fluid comprises an N-fatty acyl-O-serine sulfate surfactant, an N-fatty acyl sulfoalanine salt surfactant, an N-fatty acyl-O-serine phosphate surfactant, which have pH regulation and salt resistance, and the surfactant and a tackifying assistant are compounded to obtain the seawater-based recyclable clean fracturing fluid, so that the technical problems that the existing seawater-based fracturing fluid cannot be recycled, the stratum is greatly damaged, the fluid preparation steps are complicated and the like are solved; the N-acyl-O-serine sulfate surfactant, the N-acyl-sulfo-alanine salt surfactant and the N-acyl-O-serine phosphate surfactant which are prepared and obtained by the invention realize the repeated cyclic utilization of the clean fracturing fluid by utilizing the pH response performance of the surfactants, eliminate the problem of environmental pollution caused by flowback fluid, greatly improve the fracturing modification effect and the fracturing construction efficiency, and are worthy of popularization.

摘要：【中文】本发明公开了一种复合式电磁悬架的控制系统及其控制方法，该控制系统包括电磁作动器，全桥电路，选通开关，可控DC/DC电路，可充电电池组，以及控制器等；其中，电磁作动器安装在传统悬架系统的阻尼器位置，电磁作动器中的电机动力线与全桥电路相连，电机的信号线与控制器相连；全桥电路通过选通开关分别与可调功率电阻、可控DC/DC电路和可充电电池组相连，可控DC/DC电路的输出端与可充电电池组相连；车身姿态数据采集系统，用于检测车身振动信息；控制器则根据车身姿态和车身振动信息，结合控制策略对电磁作动器进行控制。该控制方法可以采用被动阻尼控制、半主动控制以及主动控制。本发明可以提高汽车的燃油经济性或电动汽车能量利用率。 【EN】The invention discloses a control system and a control method of a composite electromagnetic suspension, wherein the control system comprises an electromagnetic actuator, a full-bridge circuit, a gating switch, a controllable DC/DC circuit, a rechargeable battery pack, a controller and the like; the electromagnetic actuator is arranged at the position of a damper of a traditional suspension system, a motor power line in the electromagnetic actuator is connected with a full-bridge circuit, and a signal line of a motor is connected with a controller; the full-bridge circuit is respectively connected with the adjustable power resistor, the controllable DC/DC circuit and the rechargeable battery pack through the gating switch, and the output end of the controllable DC/DC circuit is connected with the rechargeable battery pack; the vehicle body attitude data acquisition system is used for detecting vehicle body vibration information; and the controller controls the electromagnetic actuator by combining a control strategy according to the vehicle body posture and the vehicle body vibration information. The control method can adopt passive damping control, semi-active control and active control. The invention can improve the fuel economy of the automobile or the energy utilization rate of the electric automobile.

摘要：【中文】本发明涉及一种数模混合微系统DAC/ADC单元回环测试系统，属于集成电路测试领域；包括上位机和测试板；其中，测试板包括数模混合微系统和带通滤波模块；所述数模混合微系统包括ADC单元、DAC单元、FPGA单元、Flash模块、DSP单元和DDR2模块；其中，FPGA单元包括数字下变频模块和数字上变频模块；本发明通过微系统ADC单元采集由信号回环模块处理的输入信号，将输入信号由模拟信号转换为数字信号；微系统FPGA单元对微系统ADC单元采样输出数据进行采集、存储及处理，得出微系统ADC单元的回环数据。 【EN】The invention relates to a DAC/ADC unit loop test system of a digital-analog hybrid microsystem, belonging to the field of integrated circuit test; comprises an upper computer and a test board; the test board comprises a digital-analog hybrid micro system and a band-pass filtering module; the digital-analog hybrid micro-system comprises an ADC unit, a DAC unit, an FPGA unit, a Flash module, a DSP unit and a DDR2 module; the FPGA unit comprises a digital down-conversion module and a digital up-conversion module; the invention collects the input signal processed by the signal loop module through the micro-system ADC unit, and converts the input signal from an analog signal to a digital signal; and the micro-system FPGA unit acquires, stores and processes the sampling output data of the micro-system ADC unit to obtain loop data of the micro-system ADC unit.