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申请号:201911290515.9 公开号:CN111159149A 主分类号:G06F16/21
摘要:【中文】本发明公开了一种基于三维卷积神经网络的河流流量预测方法。为了克服基于数据驱动的预测模型对于可靠的数据仍然有较大的依赖性的问题;本发明包括以下步骤:S1:筛选与河流流量相关的特征因素来构建数据集;S2:生成时序数据样本,并对其进行预处理;S3:按比例随机划分训练集和验证集,搭建深度三维卷积神经网络,并使深度三维卷积神经网络在训练集上训练;S4:跟踪预测精度并自动保存当前最好的模型参数,在验证集上测试模型参数的性能指标;S5:进行未来n个小时的当前测站河流流量预测。通过探究气象、水文的不同因素之间的相关性,使得二维卷积核不受卷积核大小的局限及输入特征人为布局的影响。 【EN】The invention discloses a river flow prediction method based on a three-dimensional convolutional neural network. In order to overcome the problem that the prediction model based on data driving still has larger dependence on reliable data; the invention comprises the following steps: s1: screening characteristic factors related to river flow to construct a data set; s2: generating a time sequence data sample and preprocessing the time sequence data sample; s3: randomly dividing a training set and a verification set according to a proportion, building a deep three-dimensional convolutional neural network, and training the deep three-dimensional convolutional neural network on the training set; s4: tracking the prediction precision, automatically storing the current best model parameter, and testing the performance index of the model parameter on a verification set; s5: and predicting the river flow of the current measuring station for n hours in the future. By exploring the correlation among different factors of weather and hydrology, the two-dimensional convolution kernel is not influenced by the limitation of the size of the convolution kernel and the artificial layout of input features.
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申请号:201911346117.4 公开号:CN111155491A 主分类号:E02B7/20
摘要:【中文】本发明公开了一种坝顶门机辅助停车落门系统及控制方法。为了克服增加的电气控制回路和机械结构与原有的坝顶门机系统耦合,改造成本大,独立性和拓展性差的问题;本发明包括人机交互模块,显示原门机系统的位置、状态和监控图像,输入操作命令;中央控制模块,通过以太网连接原门机系统,控制停车和落门工作;辅助落门模块,包括固定设置在中间斜梁上的顶升机构,辅助坝门对准并落入闸口;辅助停车模块,包括设置在原门机系统上的编码器和接近开关,双重信号确定大车位置,辅助大车停在指定位置。本发明与原系统电气控制回路和机械结构上都是独立的,不存在耦合,能够一键切除,保证了整个系统的独立性和拓展性,且能减少人力,提高效率。 【EN】The invention discloses a dam crest portal crane auxiliary parking landing door system and a control method. The problems that an added electrical control loop and a mechanical structure are coupled with an original dam crest portal crane system, the reconstruction cost is high, and the independence and the expansibility are poor are solved; the system comprises a man-machine interaction module, a monitoring module and a display module, wherein the man-machine interaction module is used for displaying the position and the state of an original door machine system and monitoring images and inputting an operation command; the central control module is connected with an original door machine system through Ethernet and controls parking and door falling work; the auxiliary door falling module comprises a jacking mechanism fixedly arranged on the middle oblique beam, and the auxiliary dam door is aligned to and falls into the gate; and the auxiliary parking module comprises an encoder and a proximity switch which are arranged on the original gate machine system, the position of the cart is determined by double signals, and the cart is assisted to park at a specified position. The invention is independent from the electrical control circuit and the mechanical structure of the original system, has no coupling, can be cut off by one key, ensures the independence and the expansibility of the whole system, reduces the manpower and improves the efficiency.
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申请号:201911275138.1 公开号:CN111123768A 主分类号:G05B19/042
摘要:【中文】本发明为一种坝顶门机辅助对位系统及方法,包括人机交互单元、控制单元和传感定位单元,传感定位单元包括距离检测装置、靶板和感应开关,人机交互单元、感应开关和距离测量装置均与控制单元相互通信,控制单元与门机原操作系统相互通信。方法包括设置感应杆;选择闸口号;门机移动,编码器检测门机移动距离;左侧减速开关/右侧减速开关在感应到靶板时,在触摸屏显示减速信息;停车开关在感应到靶板时,在触摸屏显示停止信息;位置检测开关判断当前门机所在位置是否为指定的闸口,若是,则对位完成,若否,则计算当前位置与指定闸口的距离并初始化编码器,回退至步骤S3。本发明的优点是:具有良好的安全性和扩展性,门机对位准确,系统可靠性高。 【EN】The invention relates to a dam crest portal crane auxiliary alignment system and a method, comprising a man-machine interaction unit, a control unit and a sensing positioning unit, wherein the sensing positioning unit comprises a distance detection device, a target plate and an inductive switch, the man-machine interaction unit, the inductive switch and the distance measurement device are communicated with the control unit, and the control unit is communicated with an original portal crane operation system. The method comprises the steps of arranging an induction rod; selecting a gate number; the gantry crane moves, and the encoder detects the moving distance of the gantry crane; when the left speed reducing switch/the right speed reducing switch senses the target plate, displaying speed reducing information on the touch screen; when the parking switch senses the target plate, stopping information is displayed on the touch screen; and the position detection switch judges whether the position of the current door machine is the designated gate, if so, the alignment is completed, otherwise, the distance between the current position and the designated gate is calculated, the encoder is initialized, and the process returns to the step S3. The invention has the advantages that: the method has the advantages of good safety and expansibility, accurate gantry crane alignment and high system reliability.
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申请号:201911289805.1 公开号:CN111089625A 主分类号:G01F1/00
摘要:【中文】本发明公开了一种模拟双目视觉的河流流量实时监测系统及方法。为了克服现有的洪水预警系统不精确的问题;本发明包括河流水面示踪平台,包括天然水面漂浮物或天然水面波;天然水面观测平台,包括两台高清宽动态广角无畸变的摄像头模组;图像采集传输平台,包括通过5G通讯的若干异地路由器;流量估计平台,包括流量计算模块和监控显示模块;基于光流方法与5G技术,搭建在线数据实时传输平台,实现数据流快速分析与在线流量监测,分析响应时间达到百毫秒级。使用计算机视觉手段和计算能力对河网进行实时可靠的流量测量和估算,从而更准确地评估事件的严重性,改善突发洪水状况。 【EN】The invention discloses a binocular vision simulated river flow real-time monitoring system and method. The problem that an existing flood early warning system is inaccurate is solved; the invention comprises a river water surface tracing platform which comprises natural water surface floaters or natural water surface waves; the natural water surface observation platform comprises two high-definition wide-dynamic wide-angle distortion-free camera modules; the image acquisition and transmission platform comprises a plurality of remote routers which communicate through 5G; the flow estimation platform comprises a flow calculation module and a monitoring display module; based on an optical flow method and a 5G technology, an online data real-time transmission platform is established, rapid data flow analysis and online flow monitoring are achieved, and analysis response time reaches a hundred milliseconds level. And the river network is reliably measured and estimated in real time by using computer vision means and computing power, so that the severity of the event is more accurately estimated, and the sudden flood condition is improved.
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申请号:201911317121.8 公开号:CN111092442A 主分类号:H02J3/24
摘要:【中文】本发明提出了一种基于决策树模型的水电机组多维振动区精细划分方法,包括以下步骤:S1、获取机组状态监测系统工况参数和稳定性参数,并进行数据清洗;S2、确定机组稳定性参数阈值;S3、构建判断矩阵并划分训练集和测试集;S4、以训练集建立决策树模型;S5、以测试集完成精度测试,并代入决策树模型,预测新工况是否属于振动区。采用大数据方式,充分利用机组状态在线监测系统数据,发掘有效数据信息,将其应用于机组振动区全水头精细划分。本发明解决未覆盖数据点是否处于振动区预测问题,并考虑多维度工况条件,提高机组基于大数据挖掘的振动区划分模型的精确性。 【EN】The invention provides a decision tree model-based hydropower generating unit multi-dimensional vibration region fine division method, which comprises the following steps of: s1, acquiring working condition parameters and stability parameters of the unit state monitoring system, and cleaning data; s2, determining a stability parameter threshold of the unit; s3, constructing a judgment matrix and dividing a training set and a test set; s4, establishing a decision tree model by using the training set; and S5, completing precision test by the test set, substituting the precision test into the decision tree model, and predicting whether the new working condition belongs to the vibration region. The big data mode is adopted, the data of the online monitoring system of the unit state are fully utilized, effective data information is excavated, and the effective data information is applied to the fine division of the full water head of the vibration area of the unit. The method solves the problem of predicting whether the uncovered data points are in the vibration region, considers the multidimensional working condition and improves the accuracy of the vibration region division model of the unit based on big data mining.
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申请号:201910978414.4 公开号:CN110991688A 主分类号:G06Q10/04
摘要:【中文】本发明公开了一种基于气象数值预报的水库调度预警方法,根据采集的目标水库流域内各水电站的水文信息计算流域内可拦蓄水量,根据可拦蓄水量修正前期影响雨量Pa;根据水文信息和气象信息确定径流系数ρ,基于径流系数ρ计算水库可容蓄净水量和可容蓄降水量,进行可容蓄降水量预警;根据水文信息、流域信息、前期影响雨量Pa、径流系数ρ和气象信息进行水库的短期时段径流量预报和计算中长期期末水位;根据水文信息、气象信息和期末水位信息确定防汛预警级别和抗旱预警级别,进行水库调度。本发明具有如下有益效果:提高了水库调度风险预警能力,确保水库大坝和下游人民生命财产的安全。 【EN】The invention discloses a reservoir dispatching early warning method based on meteorological numerical prediction, which comprises the steps of calculating impounded water capacity in a flow field according to collected hydrological information of all hydropower stations in the flow field of a target reservoir, and correcting early-stage influence rainfall Pa according to the impounded water capacity; determining a runoff coefficient rho according to the hydrological information and the meteorological information, calculating the clean water and the precipitation of the reservoir based on the runoff coefficient rho, and performing early warning on the precipitation of the reservoir; forecasting the runoff of the reservoir in a short period of time and calculating the end water level of the medium and long term according to hydrological information, basin information, early-stage influence rainfall Pa, runoff coefficient rho and meteorological information; and determining a flood prevention early warning level and a drought resistance early warning level according to the hydrological information, the meteorological information and the end-of-term water level information, and scheduling the reservoir. The invention has the following beneficial effects: the early warning capability of reservoir scheduling risks is improved, and the safety of reservoir dams and the lives and properties of downstream people is ensured.
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申请号:201911120610.4 公开号:CN111081464A 主分类号:H01F27/40
摘要:【中文】本发明涉及监测设备领域,尤其涉及一种水分监测装置。它由浮块、导杆、感应件、干接点、接线端子、放气塞、防雨帽、试验探针、壳体、观察窗、遮光盖、上接口、下接口、可选调节容器、阀门组成。本发明安装在胶囊(或隔膜)式储油柜的下方。浮块(包含感应件)的密度大于变压器油的密度但小于水的密度。利用水和变压器油的密度差,根据浮力原理,当其内部内有足量的水分时浮块上浮,浮块上的感应件使上方的干接点吸合发出有水分报警信号,实现对变压器内的水分进行有效地监测,提高变压器运行的安全可靠性。本发明可用于两种不相溶的液体A和B,A的密度大于B,可以有容器的底部安装本发明,当B中混有少量A时发出报警,提醒用户进行处理。 【EN】The invention relates to the field of monitoring equipment, in particular to a moisture monitoring device. The device consists of a floating block, a guide rod, an induction part, a dry contact, a wiring terminal, an air release plug, a rain-proof cap, a test probe, a shell, an observation window, a shading cover, an upper connector, a lower connector, an optional adjusting container and a valve. The invention is installed under the capsule (or diaphragm) type oil conservator. The density of the float (containing the induction member) is greater than the density of the transformer oil but less than the density of the water. By utilizing the density difference of water and transformer oil and according to the buoyancy principle, when sufficient moisture exists in the interior of the transformer, the floating block floats upwards, and the sensing piece on the floating block enables the dry contact above the floating block to be sucked to send a moisture alarm signal, so that the moisture in the transformer is effectively monitored, and the safety and reliability of the operation of the transformer are improved. The invention can be used for two immiscible liquids A and B, the density of A is greater than that of B, the invention can be installed at the bottom of a container, and when a small amount of A is mixed in B, an alarm is given to remind a user of treatment.
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