17results about How to "Accurate forecast" patented technology

The invention discloses an overlapped finite element method-based underwater target low and medium frequency sound scattering field forecasting method, which comprises the following steps of: generating a virtual node in an overlapped finite element, distributing a group of quadratic complete shift polynomial basis functions in a local analysis domain of each field node to construct local field approximation, and multiplying the local field approximation by a unit decomposition function of the overlapped finite element, constructing a high-order overlapping finite element approximation function; the method comprises the following steps: cutting off an infinite fluid domain by using an artificial boundary, and introducing a Dirichlet-to-Neumann mapping technology to realize a non-reflection boundary condition. For the problem of underwater target sound scattering in middle and low frequency bands, an overlapped finite element numerical calculation model of elastic target sound scattering is established. According to the method, high-order field variable approximation is realized by using the standard low-order finite element grid, the numerical dispersion error and the numerical anisotropy are effectively inhibited, and the low and medium frequency sound scattering field of the elastic target in the infinite water area can be accurately forecasted.

The invention relates to a two-way early warning method and system for work depot operation, processing equipment and a storage medium, and the method comprises the steps: arranging a vibration sensor on each track, and enabling the vibration sensors of all tracks in a certain region to form a corresponding vibration sensor array; the signals collected by the vibration sensors are processed, the vibration signals, collected by the vibration sensors, of the train passing through the track are extracted, and the track of the coming train is determined; a computer vision algorithm is adopted, based on the video monitoring data of the track of the coming train, the behavior state of a working worker in operation in the track is detected, and the behavior state is sent to a train center controller of the coming train; the train center controller of the coming train judges whether the working personnel in operation have potential threats or not according to the detected behavior state of the working personnel in operation in the track, if yes, early warning is carried out, and the method can be widely applied to the field of operation scenes of the railway service depot.

The invention relates to the field of tunnel advanced geological forecasting, and provides a surrounding rock level intelligent forecasting method based on TSP-geological information fusion, which comprises the following steps: firstly, extracting TSP trend characteristics, and carrying out spatial registration on the TSP trend characteristics and tunnel face mileage in geological information; secondly, an abnormal data screening rule is formulated according to TSP trend characteristics, and abnormal data is removed; on the basis, processed TSP trend characteristics and construction surface surrounding rock levels serve as model input, different construction surface categories are divided for modeling, TSP detection data distribution under different construction surface conditions is different, and a surrounding rock level forecasting model is established in a knowledge driving and data driving combined mode. And finally, the surrounding rock information in the design stage is added to carry out intelligent decision making with a TSP single forecasting result, so that surrounding rock level forecasting is realized. The method can effectively improve the prediction accuracy, and is of great significance to guarantee the life and property safety of tunnel construction.

The invention relates to a dynamic real-time forecasting method for the length of a towing cable of an underwater towing system, which comprises the following steps of: constructing a discretization model of the towing system containing kinematics and dynamics equations of the towing cable, and carrying out numerical simulation on the dynamic forecasting of the length of the towing cable according to the discretization model. According to the invention, the cable length required by the towed body under the given operation depth can be continuously and accurately forecasted, so that the towed body is ensured to stably operate at the specified operation position.

The invention relates to the technical field of flood forecasting, in particular to a medium and small river flood risk level forecasting device based on areal rainfall, which comprises an information acquisition module used for acquiring hourly areal rainfall in each hydrological station area in a drainage basin and processing to obtain return periods of areal rainfall of different time lengths; the statistical module is used for acquiring monitoring data of each hydrological station, calculating a flood recurrence period, and then carrying out statistical analysis on the recurrence periods of different levels of flood in the drainage basin according to a standard flood level; and the different-level flood model module is used for counting the correlation between the recurrence periods of the different-time-length surface rainfall and the recurrence periods of the different-level flood so as to establish different-level flood models, and the forecasting precision is improved through the models.

The invention discloses an information release early warning system and method based on an LED screen, and relates to the technical field of information release, the system comprises a data division module, a model construction module, an early warning cache module and a release distribution module; according to the technical key points, collected multi-source information is divided into a normal data set and an abnormal data set according to short-term, middle-term and long-term labels, different time levels are set accordingly, early warning time of a plurality of priorities under the different time levels is judged, early warning events are quickly and intelligently predicted in combination with early warning signals and an attention mechanism, and the early warning efficiency is improved. The problem of information delay is solved; the distribution level is calculated through the feature information, the distribution box is designed, the distribution adaptation degree is calculated based on the distribution box information, the distribution data packet is generated through processing and uploaded to the LED screen, and the accuracy and fineness of weather forecast are improved.

The invention discloses a wavelet neural network underwater vehicle mechanical noise rapid forecasting method and system based on Adam optimization, belongs to the field of ship underwater radiation noise forecasting, and aims to solve the problem of rapid forecasting of mechanical noise of an underwater vehicle. According to the method, a wavelet neural network noise forecasting model based on Adam optimization is designed, and key variables including the rotating speed and power of mechanical equipment, vibration isolation measures, the form of a base, the thickness of a web and a panel, the material and the thickness of a shell and fluid medium density data are selected as characteristic conditions; an Adam optimization algorithm is introduced to optimize gradient descent of a wavelet neural network model, first-order moment estimation and second-order moment estimation are adopted to dynamically adjust the learning rate of each parameter, model learning is accelerated, the network recognition precision is improved, and oscillation is reduced during convergence. And the training set is used to carry out iterative training on the optimization model to obtain a high-precision noise prediction model, the prediction of the mechanical noise of the underwater vehicle is realized, and the method has the advantages of wide applicability, high precision and the like.

The invention discloses a ship parameter rolling on-line early warning method and device, and the method comprises the steps: carrying out the scanning of sea waves in a surrounding sea area of a ship through a radar, and obtaining the information of a sea wave field; forecasting information of waves arriving at the ship body according to a radar scanning result; calculating the motion response of the ship body by using the forecasted wave information to obtain a theoretical motion response; measuring the motion of the ship body by a motion sensor mounted on the ship body to obtain an actually measured motion response; comparing the actually measured motion response with the theoretical motion response; and if the actually measured motion response does not accord with the theoretical motion response, performing early warning. According to the method, the parameter rolling has distinct instantaneous characteristics, the occurrence of the ship parameter rolling can be accurately forecasted, the method has the advantages of being accurate and timely, and online early warning of the ship parameter rolling phenomenon is achieved.

The present invention relates to a method for predicting the density of the suction port position of a cutter suction dredger, and belongs to the field of engineering ship automation systems. The method first collects the suction vacuum value, density value and flow rate value in real time, and processes and stores the data in real time; then, the suction vacuum value is time-shifted by using the length and flow rate of the pipeline from the suction vacuum sensor to the density meter, so that it matches the density value in time dimension, and after the matching is successful, the suction vacuum value and the density value are respectively extracted and stored as characteristic values ​​by using the weighted average algorithm; then, a fitting operation is performed on the characteristic statistical data; a fitting equation is obtained by using the fitting operation result, and the density value corresponding to the position of the cutter suction port is predicted in advance by using the suction vacuum value obtained in real time; and at the same time, the fitting equation is fitted and corrected in real time. The present invention can significantly improve the control accuracy of the dredging construction of the cutter suction dredger by accurately predicting the position of the cutter suction port of the cutter suction dredger in real time, thereby ensuring the efficiency of the dredging construction.

The present invention provides a device and method for predicting the output power of a photovoltaic power station in the ultra-short term. Power prediction data, power residual prediction data, outer envelope power fitting prediction value and inner envelope power fitting prediction value are respectively obtained through a small model prediction module, a residual prediction module and an envelope power fitting prediction value, and the above data are fused through a module to obtain a final prediction value. The device and method have the advantages of accurate prediction, low cost and saving deployment time.

The invention relates to a short-time forecasting and correcting method for visibility of an expressway. The method comprises the following steps: acquiring 10-minute meteorological observation historical data of traffic meteorological observation stations along a measured road section of the expressway; calculating a Pearson's correlation coefficient between the visibility and each meteorological factor, and carrying out significance test; acquiring hour-by-hour real-time meteorological observation data along the measured road section of the expressway; training the LSTM prediction model to obtain visibility prediction results of stake marks per 10 minutes in the future 2 hours; the method comprises the following steps: performing probability correction on a visibility prediction result by using visibility observation data obtained from an automatic weather station, performing trend correction on the visibility prediction result by using visibility data inverted by a video image and obtained along a highway, and correcting a subsequent new visibility prediction result by using a correction result. And obtaining visibility forecasting results of stake marks and 10-minute intervals along the measured road section of the expressway within 0-2 hours of short-time adjacent time.

The present application relates to the field of tunnel advanced geological prediction, and provides a surrounding rock grade intelligent prediction method based on TSP-geological information fusion, first extracts TSP trend characteristics, and carries out spatial registration with the face mileage in the geological information; then, abnormal data screening rules are formulated for the TSP trend characteristics, and abnormal data is eliminated; on this basis, the processed TSP trend characteristics and the surrounding rock grade of the construction surface are used as model inputs, different construction surface categories are divided to model, and the TSP detection data distribution under different construction surface conditions is different, a surrounding rock grade prediction model is established by combining knowledge driving and data driving. Finally, the surrounding rock information in the design stage is added to the TSP single prediction result for intelligent decision-making, so as to realize the surrounding rock grade prediction. The present application can effectively improve the prediction accuracy, and has important significance for protecting the life and property safety of tunnel construction.

The invention relates to the technical field of structural component testing, and specifically to a vibration state testing method and system for satellite solar wing assemblies, comprising: using a vibration testing system to capture the wing edge and central axis vibration signals of each solar wing assembly in real time; analyzing and extracting the edge resonance signal of each assembly and the time series characteristics before reaching resonance, as well as the central axis resonance signal and the corresponding time series variation characteristics; based on the resonance signal samples and the corresponding time series variation characteristics, in conjunction with resonance probability identification information, training a resonance monitoring module, and monitoring and warning the solar wing parallel assembly, thereby solving the technical problem of being unable to identify and prevent potential structural failure and performance loss of the solar wing assembly due to resonance in real time, and realizing the technical effect of accurately measuring the vibration characteristics of the solar wing parallel assembly, warning the potential resonance risk in advance, improving the overall structural stability, and thus strengthening the refined management of the vibration behavior of the solar wing parallel assembly.

The invention discloses an electric power system wide area network early warning protection system and method based on quantum radar. The system comprises a plurality of node monitoring modules, a remote transmission module and a central processing switchboard. The plurality of node monitoring modules are distributed around facilities needing lightning monitoring in a power system; the remote transmission module is used for transmitting the detection electric signals output by the plurality of node monitoring modules; and the central processing switchboard receives the detection electric signals transmitted by the remote transmission module, performs data processing on the detection electric signals and performs lightning early warning, and by means of the high-spatial-resolution monitoring effect of the quantum laser radar, accurate forecasting of what place and what time the thunderstorm occurs can be realized.

The present invention provides a numerical simulation method for vortex-induced motion of a double-tube suspended tunnel, including: creating a geometric model of the suspended tunnel structure and the external flow field calculation domain; meshing the suspended tunnel model calculation domain; combining the computational fluid dynamics model with the structural dynamics model to perform fluid-solid coupling numerical calculations, and performing information exchange between the fluid and the structure based on a weak coupling method and coordinate mapping; and post-processing the calculated data after the simulation reaches the termination time. The displacement, velocity, acceleration and hydrodynamic characteristics of the suspended tunnel are obtained by the method of the present invention, and the accurate prediction of the vortex-induced motion response of the suspended tunnel can be achieved, providing a high-precision numerical method for the analysis and design of the suspended tunnel, and providing strong support for the design improvement and performance enhancement of the suspended tunnel.

The present invention belongs to the technical field of ship flow field analysis and prediction, and specifically relates to a method, program, device and storage medium for rapid prediction of the flow field of a ship moving in waves based on the combination of POD and DMD. The present invention obtains the initial moment reconstructed flow field of any sample ship structure based on the POD method, obtains the linear transfer matrix of any sample ship structure based on the DMD method, and combines with the proxy model. When the ship to be predicted is sailing in the monitored sea area, the initial moment flow field data vector and the POD basis coefficient of the transfer matrix of the corresponding ship structure are obtained according to the proxy model, and then the initial moment flow field data vector and transfer matrix are obtained, so as to realize the rapid prediction of the flow field in waves for any ship structure at any time.

The invention discloses an explosive initial condition correction method for underwater explosion numerical simulation, which comprises the following steps of: performing spherical approximation on an explosive, establishing a calculation model of free field spherical symmetry underwater explosion, and inputting initial parameters of the explosive by a JWL state equation, wherein the initial parameters comprise initial density and initial internal energy of the explosive per unit mass; preliminary pressure time travel curves at different spatial positions are obtained; extracting a shock wave pressure peak value, comparing the shock wave pressure peak value with a test or empirical formula result, and if an error does not exceed 5%, keeping the initial internal energy of unit mass explosive unchanged; otherwise, adjusting the initial internal energy of the explosive per unit mass until the error does not exceed 5%; determining a bubble pulsation period, comparing the bubble pulsation period with a test or empirical formula result, and if an error does not exceed 5%, keeping the initial density of the explosive unchanged; otherwise, adjusting the initial density of the explosive until the error does not exceed 5%. The method can accurately forecast the shock wave pressure peak value and the bubble pulsation period, has the advantages of low cost and high efficiency, and can provide more accurate load input for three-dimensional underwater explosion model calculation.