97 results about "Demarcation point" patented technology

The invention provides an industrial data online migration method, medium and system of a productivity middle platform, and belongs to the technical field of electrical digital data processing.The method comprises the steps that firstly, historical access records of an industrial data source are collected, and a deep neural network model comprising a multi-head attention layer, a time sequence feature extraction layer and a residual connection layer is constructed; and the prediction of the data change rate is realized. And based on a prediction result, dynamically calculating a data change rate demarcation point by utilizing an optimization equation set, and dividing a data table into different change frequency categories. And then constructing a data dependency relationship matrix, and determining a migration sequence by adopting an improved topological sorting algorithm. Batch migration, incremental migration and real-time synchronization mechanisms are adopted for different types of data, and model updating is triggered through real-time monitoring, so that dynamic optimization of a migration strategy is ensured. Finally, data consistency verification is carried out, migration accuracy is guaranteed, and the technical problem that the online migration efficiency of industrial data is low due to real-time dynamic change of the data change rate is solved.

The invention relates to a power transmission line distributed fault diagnosis system and diagnosis method suitable for an electric power internet of things. The system comprises a data center station and a monitoring terminal deployed on a power transmission line. The plurality of monitoring terminals are respectively in wireless communication connection with the data center station; through technology fusion and multi-dimensional data utilization, compared with the prior art, the accuracy, the real-time performance and the reliability of fault detection, the operation and maintenance efficiency and the cost effectiveness are remarkably improved. The fault diagnosis method comprises interval positioning, accurate positioning and result output. The monitoring terminal is used as a demarcation point to divide the line into a plurality of sections, and after a fault occurs, the pre-processing module can determine the section where the fault point is located according to the direction and size of fault current or traveling wave current and reduce the fault point finding range, so that the fault point finding efficiency is improved, and typical fault reasons of the power transmission line are identified according to the waveform of the traveling wave current. And the reason of the circuit fault can be quickly determined.

The invention belongs to the technical field of power system load prediction, and particularly relates to a short-term power load prediction method based on a hybrid model, and the method comprises the steps: S1, carrying out the preprocessing of original data; s2, searching an optimal combination [k, alpha] by adopting a firefly and sparrow algorithm; s3, decomposing the original data by adopting variational mode decomposition; s4, determining a demarcation point by adopting an adaptive algorithm, and dividing each signal component; s5, selecting features by adopting the maximum information coefficient, and establishing an input matrix; s6, substituting each signal component into the model for prediction; and S7, reconstructing the prediction result, and outputting a final prediction value. According to the method, a combined prediction model based on feature screening and frequency division prediction is provided, signal components are extracted from original data, the signal components are separated into a high-frequency part and a low-frequency part, after feature screening is conducted on the signal components, the signal components are substituted into the model for prediction, and finally all signal component prediction results are reconstructed. And obtaining a final prediction value.

The invention relates to a digital human live broadcast method and system. The method comprises the following steps: acquiring a live broadcast room visual effect picture and a digital human live broadcast audio; generating digital human live broadcast content under the driving of the digital human live broadcast audio by taking the visual effect picture of the live broadcast room as a visual manuscript through an I2V model; in the process of playing the digital human live broadcast content, if the current interaction behavior of the user in the live broadcast room is monitored, generating digital human interaction content responding to the current interaction behavior; selecting an insertion frame from the key frames of the digital human live broadcast content so as to insert the digital human interaction content at the position of the insertion frame; the key frame is a video frame corresponding to a statement demarcation point in the digital human live broadcast content. According to the scheme provided by the invention, the contradiction between long content production period, high implementation cost and slow real-time interaction feedback in digital human live broadcast in related technologies can be solved.

The invention relates to the technical field of surface shape detection, in particular to an optical element surface shape frequency band error division method based on data driving, which comprises the following steps: S1, acquiring surface shape detection results of different optical elements, and extracting corresponding full-frequency band errors from the surface shape detection results, training the three error extraction neural networks by taking each surface shape detection result and the corresponding full-band error as a training data set; s2, inputting a surface shape detection result of the to-be-detected optical element into the three error extraction neural networks which finish training, and respectively extracting each frequency band error of the surface shape of the to-be-detected optical element through the three error extraction neural networks; s3, respectively carrying out one-dimensional PSD curve calculation on the surface shape detection result and the corresponding frequency band error; and S4, comparing the two one-dimensional PSD curves, wherein a frequency point at a non-overlapping position is a demarcation point between the two frequency band errors. The frequency band error division method has universality, can be suitable for different wave bands, and is high in accuracy.

The invention relates to a real-time interaction method and system for digital human live broadcast, electronic equipment and a program product. The method comprises the following steps: in response to an interactive behavior of a user, generating a first digital human audio for responding to the interactive behavior, generating a first digital human video for responding to the interactive behavior according to the first digital human audio, selecting an insertion frame from key frames of digital human live broadcast content, inserting the first digital human audio and the first digital human video at the position of the insertion frame, wherein the key frame is a video frame corresponding to the statement demarcation point in the digital human live broadcast content. According to the scheme provided by the invention, the first digital human audio and the first digital human video responding to the interaction behavior of the user can be generated, and the first digital human audio and the first digital human video are inserted into the digital human live broadcast content, so that the interaction content of the user is responded in real time; and meanwhile, the first digital human audio and the first digital human video are inserted into the statement demarcation point of the digital human live broadcast content, so that the current verbal skill is not rigidly interrupted.

Techniques related to a framework for providing a wireless-centric enterprise network model are disclosed. In one example aspect, a framework for providing a wireless-centric network service to an enterprise in compliance with a Service Level Agreement (SLA) includes a first component in communication with a home wireless network, at least one visited wireless network, and at least one demarcation point of a wired network associated with the enterprise network to predict a future state of the networks. The framework also includes a second component configured to reconfigure traffic associated with the communication session based on the future state predicted by the first component.

The invention discloses a solid-state transformer magnetic core loss calculation method adaptive to electric power system characteristics. The method comprises the following steps: firstly, collecting actually measured ferrite core loss data, and fitting hysteresis and eddy current loss parameters of a classical two-item model; setting 100kHz as a low-frequency and medium-high-frequency demarcation point through an eddy current and magnetic hysteresis loss balance point and a relaxation effect, and dividing three frequency bands by taking a skin effect characterization parameter greater than 2 as a medium-frequency and high-frequency demarcation point; adding a specific compensation item according to the loss characteristics of each frequency band, and constructing a segmented two-item model with compensation items; and fitting the parameters by adopting an L-M algorithm to calculate the total loss. According to the method, through frequency and flux density interval double division and compensation item introduction, the influence of nonlinear factors is effectively considered, and the magnetic core loss calculation precision is remarkably improved.

The application relates to a hybrid energy storage capacity multi-objective optimization configuration method for power fluctuation suppression, determines grid-connected unbalanced power, establishes an OVMD mathematical model, determines an optimal modal decomposition layer number K, decomposes the grid-connected unbalanced power signal, and determines high and low frequency reconstruction component orders and a demarcation point of connotation modal components in combination with superconducting magnet charging and discharging cycle time, determines low frequency power components and high frequency components, takes the minimum full life cycle cost of the hybrid energy storage system and the minimum operation penalty cost as targets, establishes a superconducting-electrochemical hybrid energy storage capacity multi-objective configuration model, obtains a Pareto front solution set of optimization target parameters, and obtains a superconducting-electrochemical hybrid energy storage optimal configuration scheme. The beneficial effects are that the influence of subjective K value setting on the decomposition layer number is reduced, the applicability of VMD is improved, the global search capability is enhanced, the population diversity is increased, the algorithm convergence is improved, and the uniformity of the optimal solution distribution of the Pareto front is improved.

The invention provides a method for determining a noise component demarcation point in an electric signal of power transformation equipment, which belongs to the technical field of power transformation equipment, and comprises the following steps of: firstly, carrying out time domain sampling and standardization on the electric signal through a data preprocessing module of a hardware unit, and then extracting a frequency domain feature by utilizing fast Fourier transform; blind source separation is carried out through independent component analysis, and an adversarial neural network model is constructed to carry out deep analysis on independent component signals. The generator network generates a noise feature vector, and the discriminator network evaluates a noise component proportion and sets an adaptive threshold to mark a noise dominant signal. And finally, time-frequency energy density distribution characteristics are obtained through wavelet transformation, the energy concentration degree and the frequency bandwidth are calculated, noise component demarcation points are accurately determined, accurate recognition and processing of the electric signal noise of the power transformation equipment are achieved, and the problems that in the prior art, an artificially designed characteristic extraction algorithm is often depended on, self-adaptability is lacked, and the noise is poor are solved. And the effect is not good in a complex and changeable noise environment.

The invention discloses an active frequency control method for an AC-DC hybrid power system, and the method is realized based on a feedforward active control idea and a system state space model, and comprises the steps: firstly, designing an AC-DC hybrid power grid active coordination rapid frequency response hierarchical control framework; secondly, establishing a system frequency response state space model based on a grid structure of the AC-DC hybrid power system, and forming a two-stage frequency response control strategy taking the arrival time of the lowest point of the frequency as a demarcation point; and thirdly, through active coordination control of whole network resources of the hybrid system, the system frequency modulation potential under two interconnection modes of synchronization and asynchronization is fully mined. According to the invention, the system frequency control effect under the condition of high-power loss can be obviously improved, and the anti-interference capability of a power system is improved.

Systems and methods for dynamic base station functional split configuration management are provided. In one embodiment, a system for base station functional split management for uplink fronthaul traffic comprises: a baseband controller coupled to a plurality of radio units via a fronthaul network, wherein the plurality of radio units comprise a signal zone from which uplink signals are combined by the base station: a split controller configured to dynamically select and control a functional split of a respective uplink receive chain between the baseband controller and each of the plurality of radio units: wherein the functional split defines a demarcation point on the receive chain prior to which processing operations are executed by a radio unit and after which processing operations are executed by the baseband controller: wherein the split controller selects between a plurality of functional split options to dynamically control the functional split and the demarcation point.

The invention provides a photovoltaic power generation unit equivalent modeling method and device, equipment and a storage medium. The method comprises the following steps: determining a grouping number of a current target photovoltaic power station and a grouping demarcation point of steady-state active power for grouping by acquiring a topological structure of the target photovoltaic power station and device parameters and steady-state active power parameters of each power generation unit; therefore, equivalent grouping of the power generation units in the target photovoltaic power station with the fixed grouping number can be achieved, corresponding grouping operation is executed according to the grouping number and the grouping demarcation points so as to generate target equivalent machines, then equivalent parameters and equivalent current collection line parameters of the target equivalent machines are obtained through calculation, and a target equivalent model is calculated; according to the method, the clustering of the target photovoltaic power station is completed, the problems of unstable clustering number and low physical interpretability of the clustering index caused by a clustering method in some embodiments are reduced, meanwhile, the method is simple and convenient to calculate, the data processing amount is reduced, and the equivalent modeling efficiency of the photovoltaic power station is improved.

The invention relates to the field of electric variable measurement, in particular to an ammeter relay life evaluation method and system, and the method comprises the steps: obtaining the current data of a relay under different historical loads, calculating the current distortion damage degree of different loads, and obtaining a current distortion damage sequence sorted according to the magnitude of load current; adjusting the current distortion damage sequence to obtain a load current-distortion damage degree curve, obtaining a preset threshold value of a load grade demarcation point, and further obtaining load damage amounts of different load grades; calculating the service life loss degree of the relay according to the load damage amount of different load grades; acquiring historical data of a plurality of relays to train a preset LSTM model, and optimizing model parameters through a preset loss function to obtain a life estimation model; and acquiring real-time data of the relay, and inputting the real-time data into the life prediction model to complete evaluation of the real-time residual life of the relay. The method has the effect of accurately evaluating the service life of the relay.

The application discloses a network coverage area boundary generation method and device, comprising: obtaining base station data of a plurality of base stations; obtaining a target attribute feature, and determining a target base station matched with the target attribute feature and a non-target base station not matched with the target attribute feature from the plurality of base stations; for each non-target base station within a preset range around the target base station, constructing an elliptical coverage area with the non-target base station and the target base station as the long axis endpoints of the ellipse and combining the antenna horizontal lobe angles of the non-target base station and the target base station, and if there is no other base station in the elliptical coverage area, determining the non-target base station as an external adjacent base station of the target base station; for each external adjacent base station, determining a coverage area demarcation point between the external adjacent base station and the target base station; and determining a coverage area boundary of the target base station based on a plurality of coverage area demarcation points. The application solves the technical problem of low accuracy and low efficiency of a conventional network boundary determination scheme based on field testing and manual drawing.

The invention discloses a path planning method, a path planning system and a transportation controller. The path planning method comprises the following steps: S1, acquiring a starting point and an ending point of a path to be planned; s2, determining a plurality of passing lines from the starting point to a plurality of demarcation points in the neighbor area and first estimation time consumption of moving on each passing line through a neighbor area path planning model; s3, determining second estimation time consumption from each demarcation point to an end point through a trained far and adjacent region time estimation model; and S4, determining which passing line is selected as the optimal path according to the determined first estimation time consumption corresponding to each passing line and the second estimation time consumption from the demarcation point to the end point of the passing line. According to the method, low-efficiency blind searching in the far and adjacent areas when the Dijkstra algorithm is executed can be avoided, the path planning time and the calculation cost can be reduced under the condition that the path planning accuracy is ensured, the efficiency of the transportation controller is improved, the crown block can be guided to be away from the congestion area in time, and the carrying efficiency is improved.

The embodiment of the present disclosure provides a generative antenna optimization design method based on a generative adversarial network, and belongs to the technical field of antenna design. Specifically, the method comprises the following steps: forming an initial data set by combining structure parameters and performance parameters; dividing the initial data set into two types of samples with a preset median of antenna performance indicators as a dividing point, and taking the superior class samples after normalization as a training set; constructing a generative adversarial network and training it by using the training set; forming a second data set by combining new structure parameters and new performance parameters, merging the superior class samples of the last time with the superior class samples of the current time, dividing again to obtain a new training set to train a new generative adversarial network; generating multiple new antenna models by using the new generative adversarial network and simulating until the requirements are met; and inputting random noise into the trained generative adversarial network to obtain the normalized value of the antenna structure parameters. Through the scheme of the present disclosure, the optimization efficiency and accuracy are improved.

The invention discloses a shaft leakage detection data processing method and device. Firstly, band-pass filtering processing is carried out on original data, data components in an important frequency range are reserved, effective value processing is carried out on signal data in combination with a data sampling frequency and the important frequency range, and an effective value signal data sequence is obtained; and then processing the effective value data, calculating a first-class demarcation point for converting the static measurement data into the dynamic measurement data and a second-class demarcation point for converting the dynamic measurement data into the static measurement data based on a preset adjacent data point change rate threshold value and a continuous stable data point variance threshold value, and obtaining stable fixed measurement data through the first-class demarcation point and the second-class demarcation point. The static test data are efficiently extracted from the data fragments, and meanwhile invalid dynamic test data are accurately removed.

The invention relates to the technical field of pattern design, in particular to a pattern design cooperation method and system based on a cloud platform, and the method comprises the steps: obtaining pattern arrangement distribution and spacing change, dividing rhythm sections, marking demarcation points, comparing drawing actions with region directions, arranging drawing instructions, and extracting canvas tracks. And generating an operation path list, dividing a terminal task range, binding a task channel and outputting a multi-terminal drawing set. According to the method, rhythm sections are divided by analyzing pattern spacing changes, drawing actions are ranked in combination with region directions and spatial features, canvas tracks are rearranged to reduce path round-trip and repeated operation, path sections are distributed according to terminal reaching regions to form an independent operation range, drawing tasks are sequentially bound to a cloud channel, continuous advancing of multi-terminal drawing is guaranteed, and the drawing efficiency is improved. Cooperative conflicts are reduced, and the process stability and the overall consistency of parallel composition are improved.

The application provides a time difference determination method, device and equipment of array acoustic wave and a storage medium. The method detects array acoustic wave through an array acoustic logging device located at a target depth, divides a full frequency band of the array acoustic wave into a frequency band of Stoneley wave and a frequency band of transverse-longitudinal wave according to a frequency demarcation point of the array acoustic wave, determines a Stoneley wave window length according to a first window cycle number of the Stoneley wave and the frequency band of the Stoneley wave, determines a transverse-longitudinal wave window length according to a second window cycle number of the transverse-longitudinal wave and the frequency band of the transverse-longitudinal wave, determines a time window length of a slowness time correlation algorithm based on the Stoneley wave window length and the transverse-longitudinal wave window length, and determines a time difference value of each component wave based on the algorithm and the time window length. The embodiments of the application can determine a corresponding time window length for the target depth, avoid the problems of complexity and inaccuracy of manual setting, and thus improve logging efficiency and logging accuracy.

Systems and methods for dynamic base station functional split configuration management are provided. In one embodiment, a system for base station functional split management for uplink fronthaul traffic comprises: a baseband controller coupled to a plurality of radio units via a fronthaul network, wherein the plurality of radio units comprise a signal zone from which uplink signals are combined by the base station: a split controller configured to dynamically select and control a functional split of a respective uplink receive chain between the baseband controller and each of the plurality of radio units: wherein the functional split defines a demarcation point on the receive chain prior to which processing operations are executed by a radio unit and after which processing operations are executed by the baseband controller: wherein the split controller selects between a plurality of functional split options to dynamically control the functional split and the demarcation point.

The invention relates to the technical field of railway transportation, in particular to a railway electronic map construction method, device and equipment. A railway electronic map construction method comprises the steps that target elements are constructed, the target elements comprise station yard nodes, demarcation points, main lines and connecting lines, the station yard nodes are used for representing stations or parking lots in a railway, the demarcation points are end points of the station yard nodes, the main lines are used for connecting different stations based on the demarcation points, and the connecting lines are used for connecting different stations based on the demarcation points; the connecting line is used for connecting a parking lot in the station based on the demarcation point, and the main line and the connecting line are directed line segments; based on the target element, a railway electronic map is constructed, the railway electronic map comprises a macroscopic view angle, a mesoscopic view angle and a microscopic view angle, the macroscopic view angle is used for representing an inter-station structure, the mesoscopic view angle is used for representing a station yard structure, and the microscopic view angle is used for representing an in-station structure.

The invention relates to a text display and voice broadcast synchronization method and device, computer equipment, a readable storage medium and a program product. The method comprises the following steps: acquiring an original character string needing to be displayed on a current page of a client and / or an original character string already displayed on the current page of the client; punctuation marks in the original character string are filtered, and a pure character string corresponding to the original character string can be obtained; obtaining the word number of a read character string in the pure character string; then, according to the word number of the pure character string and the word number of the read character string, a broadcast demarcation point used for segmenting the read character string and an unread character string in the pure character string can be determined; and based on the document object model, positioning to the broadcast demarcation point in real time, and displaying the original character string corresponding to the broadcast demarcation point on the current page so as to realize synchronous display of character display and voice broadcast of the original character string.

The invention discloses a time sequence sensing signal interpolation method based on a consistency model view angle. The interpolation method comprises the following steps: firstly, acquiring a time sequence sensing signal on industrial equipment through an installed sensor, then acquiring an interval of a required diffusion step length according to the acquired time sequence sensing signal, and performing division processing and sampling point processing on the interval of the diffusion step length according to a demarcation point of two signal-to-noise ratios to obtain a limited solution space; and processing the obtained limited solution space by adopting an optimal path search method to obtain a searched sampling path, and finally performing signal interpolation processing on the time sequence sensing signal by adopting a denoising diffusion probability model based on consistency model view angle acceleration according to the obtained sampling path to obtain the time sequence sensing signal after signal interpolation. According to the method, the diffusion interpolation model under any time sequence sensing signal can be accelerated, so that the efficiency is greatly improved while the performance of the diffusion interpolation model is maintained, and a timeliness scene can be met.

The invention discloses a formation interface pickup method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a gamma logging curve corresponding to a target mine, and determining at least one to-be-applied formation boundary point based on the gamma logging curve; determining at least one target stratum boundary point based on the to-be-applied stratum boundary point and the gamma logging curve; and determining at least one to-be-applied stratum interface based on the target stratum boundary point, and determining a target stratum interface based on the to-be-applied stratum interface. On the basis of the technical scheme, formation interface pickup is performed on the basis of the correlation of the data in all directions in the gamma logging data, and the division result is corrected based on statistical analysis evaluation. Therefore, the result of the single curve is further optimized and processed, and the efficiency and accuracy of stratum interface pickup are improved.

The present invention discloses a method, device and system for monitoring the state of a track section based on an optical fiber sensor, belonging to the field of rail transit. The method for monitoring the state of a track section includes: obtaining the detection result of the optical fiber sensor in the detection unit, where the optical fiber sensor is used to detect the axle number information of a train; determining the state of the detection unit according to the detection result of the optical fiber sensor; determining the state of the track section according to the states of the detection units at the entrance and exit of the track section; wherein, detection units are provided at the demarcation points between adjacent track sections, the entrance of the first track section, and the exit of the last track section. The present invention can also perform accurate detection in the case of failure of some sensors, improving the usability.

The invention discloses a broadband signal measurement method based on improved Prony, and the method comprises the following steps: 1, carrying out the singular value decomposition of a broadband signal, determining an initial singular value demarcation point through an energy accumulation method, and introducing a Pearson correlation coefficient to distinguish the main frequency components and noise of the signal, thereby determining the model order of Prony; 2, preprocessing the broadband signal by using variational mode decomposition, solving a variational problem through iteration, decomposing the complex broadband signal into a plurality of intrinsic mode functions with narrowband frequency spectrums, and reducing the complexity of signal processing; step 3, introducing a disturbance matrix satisfying a Toeplitz structure, iteratively optimizing a linear prediction coefficient of a Prony algorithm, using the Prony algorithm after parameter optimization to identify each mode, obtaining frequency, amplitude and phase information of each mode, and realizing measurement of broadband signals; according to the method, the problem of insufficient measurement precision caused by noise interference and difficulty in model order selection in broadband signal measurement of a traditional Prony algorithm is solved.

This application provides a mobile-assisted video-synchronized curling training data acquisition method, relating to the field of data acquisition technology, including the following steps: when the coordinate distance between any two curling stones is detected to be less than a first preset threshold, extract the velocity vectors of the two curling stones within a preset time before the collision, mark the curling stone with the larger modulus as the source curling stone, and mark the curling stone with the smaller modulus as the collided stone; using the moment of the collision as the dividing point, split the coordinate sequence of the source curling stone into a first pre-collision coordinate subsequence and a first post-collision coordinate subsequence, and assign a first data stream identifier; split the coordinate sequence of the collided stone into a second pre-collision coordinate subsequence and a second post-collision coordinate subsequence, and assign a second data stream identifier; encapsulate the coordinate subsequence with the first data stream identifier and the coordinate subsequence with the second data stream identifier into a data packet, and push it to the mobile terminal.

The invention discloses an energy balance control method and device based on a hybrid MMC, and relates to the technical field of electric power. The method comprises the following steps: acquiring a reference voltage of a bridge arm, a half-bridge sub-module output capability of the bridge arm and a full-bridge sub-module output capability of the bridge arm; dividing the input state of the half-bridge sub-module into active input and passive input according to the reference voltage, the output capability of the half-bridge sub-module and the output capability of the full-bridge sub-module; based on the reference voltage of the bridge arm and the output capability of the full-bridge sub-module, determining a passive input demarcation point of the half-bridge sub-module, and determining the capacitance voltage variation when the half-bridge sub-module is passively input; controlling the half-bridge sub-modules to carry out minimum active input; and determining the input condition of the full-bridge sub-module according to the input condition of the half-bridge sub-module, and performing energy balance control based on the input condition of the half-bridge sub-module and the input condition of the full-bridge sub-module. The hybrid MMC-based energy balance control method is used for realizing the hybrid MMC-based energy balance control function.

The invention provides a time difference determination method, device and equipment for array sound waves and a storage medium, and the method comprises the steps: detecting the array sound waves through an array sound wave logging device located at the underground target depth, and dividing the full frequency band of the array sound waves into the frequency band of stoneley waves and the frequency band of transverse and longitudinal waves according to the frequency demarcation point of the array sound waves; determining the window length of the stoneley wave according to the first window period number of the stoneley wave and the frequency band of the stoneley wave, and determining the window length of the transverse longitudinal wave according to the second window period number of the transverse longitudinal wave and the frequency band of the transverse longitudinal wave; therefore, the time window length of the slowness time correlation algorithm can be determined based on the Stoneley wave window length and the transverse and longitudinal wave window length, and the time difference value of each component wave can be determined based on the algorithm and the time window length. According to the embodiment of the invention, the corresponding time window length can be determined for the target depth, and the problems of complexity and inaccuracy of manual setting are avoided, so that the logging efficiency and the logging precision can be improved.