34 results about "Demarcation point" patented technology

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 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 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 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.

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.

This application discloses a method, device, equipment, and medium for handling stray current in subways. In this embodiment, the electronic device obtains the leakage current linear density distribution function and then determines the optimal boundary point sequence. The optimal boundary point sequence fully considers load balance and structural safety, realizing the dynamic optimal division of the drainage section of the intelligent drainage cabinet, improving resource allocation efficiency, and thus accurately and effectively completing the closed-loop suppression of stray current.

The embodiment of the application provides a customer classification method and device, relates to the field of data analysis, and can also be applied to the financial field. The method comprises the following steps: dividing a customer set into an online consumption customer set and an offline consumption customer set, and respectively determining consumption intervals, consumption frequencies and consumption amounts; respectively performing clustering, and determining the dividing points of the consumption intervals, the consumption frequencies and the consumption amounts of the online consumption customer set and the offline consumption customer set according to the clustering results; and respectively determining the value classification results of each customer in the online consumption customer set and the offline consumption customer set according to the dividing points and a value classification rule. The embodiment of the application considers the differences in customer consumption behaviors in multiple scenarios, adopts a differentiated RFM value calculation mode, constructs different models and uses a segmentation mode, and finally obtains individualized classification results.

The application discloses a method for extracting effective information of time parameters of railway signal relays, which comprises the following steps: arranging all time parameter sequences obtained through electric parameter experiments, and performing data preprocessing on the parameter sequences; decomposing the time parameter sequences obtained after data preprocessing into components capable of representing different information; performing autocorrelation function solving on all the components to obtain autocorrelation function images of the components, and determining signal-to-noise demarcation points according to the autocorrelation function images; performing wavelet threshold denoising processing on the components containing noise, and then reconstructing the processed IMF components, the IMF components not denoised and residual components to obtain parameter sequences after denoising, and extracting effective information of the parameters from the parameter sequences after denoising. The application can adaptively perform denoising on the time parameter sequences, and the improved wavelet threshold denoising method is used for denoising processing, so that the superiority of the method for denoising the time parameters of railway relays to extract effective information of the parameters is embodied.

The invention discloses a fan blade audio signal noise reduction method, system and device and a storage medium, and the method comprises the steps: carrying out the variational mode decomposition of a noise-containing audio signal of a fan blade, selecting a part of a mode function component as a to-be-processed signal, and taking the remaining part as a remaining amount; randomly arranging the to-be-processed signals, reconstructing the to-be-processed signals and the residual quantity to obtain temporary signals, accumulating, superposing and repeating the temporary signals for a preset number of times, averaging the accumulated and superposed signals to obtain an initial noise reduction signal as a new noisy signal, and repeating the above steps for a preset number of iterations to obtain a signal with an enhanced signal-to-noise ratio; performing variational mode decomposition on the signal after signal-to-noise ratio enhancement again, and sorting according to the energy scales of new mode function components from large to small; and searching a local minimum value point of the sorted new modal function component as a demarcation point, retaining a high-frequency signal component before the demarcation point, and reconstructing to obtain a fan blade audio denoising signal, thereby completing the noise reduction of the fan blade audio signal.

The application relates to a pre-terminated optical cable packaging disc which comprises a barrel, an inner layer cable winding part and an outer layer cable winding part, one end of the barrel is provided with a sealing plate, the inner layer cable winding part is installed in the middle of the sealing plate, one end of the outer layer cable winding part is installed on the sealing plate, the outer layer cable winding part is sleeved outside the inner layer cable winding part to separate the space between the barrel and the inner layer cable winding part into an inner layer cable storage area and an outer layer cable storage area, and the outer layer cable winding part is provided with a communication port which communicates the inner layer cable storage area and the outer layer cable storage area. The space of the barrel is separated into the inner layer cable storage area and the outer layer cable storage area through the outer layer cable winding part, the inner layer cable storage area and the outer layer cable storage area are communicated through the communication port, the length demarcation points of the inner and outer layers of the optical cable can be transitioned, winding is then respectively performed on the inner layer cable storage area and the outer layer cable storage area, and finally the terminated parts at both ends of the optical cable can be wound to the top layer of the packaging disc, so that the packaging of the pre-terminated optical cable with a linear diameter greater than 5 mm, a multi-core bundle structure or a branch optical cable, and a certain length of sub-cables scattered from the terminated parts at both ends can be achieved.

The invention provides a high-concurrency transaction message processing method, system and device and a medium, and relates to the technical field of distributed transaction processing, and the method comprises the steps: receiving a plurality of transaction messages for the same target commodity, determining the sequence relation of each transaction message, and generating a message dependency relation graph; when a state change event is detected, inserting a state demarcation point on the logic time axis; according to the message dependency graph and the state demarcation point, identifying a transaction message set needing atomic processing, and distributing the transaction message set to a plurality of message queues; and in each message queue, processing the transaction messages according to the sequence relationship, when the transaction messages cross the state demarcation point, executing state consistency verification on the transaction messages crossing the state demarcation point, and adjusting the processing sequence of the transaction messages according to the verification result. The method and the device have the technical effect of preventing partial messages from being processed based on the expired service state so as to cause service logic errors.

The application discloses a multi-link intelligent tolling cross-region clearing method and system based on machine learning, and particularly relates to the field of cross-region networking tolling intelligent clearing, which comprises the following steps: sorting the tolling records corresponding to the same vehicle in the target account period according to the record time, mapping each tolling record to the corresponding charging position, generating a passing sequence, determining the passing interval between adjacent tolling records according to the passing sequence, setting a demarcation point at the intersection position of the passing interval and the region boundary, and cutting the passing sequence according to the demarcation point to generate a tolling responsibility section; the application solves the problems of cross-region revenue distortion and subsequent repeated back calculation caused by taking the whole passing as the minimum clearing object in the prior art by cutting the same passing into multiple tolling responsibility sections according to the region boundary, performing hierarchical discrimination based on the responsibility section characteristic value, and respectively entering the account according to the discrimination result.

The invention discloses a precision-variable Tanh activation function fitting method, which comprises the following steps of: dividing the positive axis input of a Tanh function into a linear region (0, 1.156) and a saturation region (1.156, + infinity) based on the characteristics of the Tanh function, and setting target absolute precision epsilon 0 to determine a demarcation point x0 of a linear function y = x and a trapezoidal function, y = x fitting is adopted in a linear region, it is ensured that the error does not exceed epsilon 0 through segmented iteration in a trapezoidal region, optimization constant tempset fitting is adopted in a saturation region, and negative semi-axis fitting or negative number rejection processing is achieved through the property of a Tanh odd function. By means of the mode, it can be guaranteed that the accuracy of the AI model is reduced within a certain range, hardware resources are greatly reduced, and the requirements for low-power-consumption, small-area and high-speed deployment of the neural network terminal are met.

The invention relates to a power distribution network fault rapid positioning method, device and equipment based on a distributed power supply. The method comprises the following steps: determining a plurality of active sub-regions in a dynamic topology model of a power distribution network by taking a distributed power supply grid-connected point and a main network contact node as demarcation points, and determining a target sub-region according to normalized electrical quantity data and transient electrical quantity data; determining a fault line segment according to the fault feature parameters of the target sub-region and a preset fusion positioning criterion; determining a fault local interval in the fault line segment according to the line parameters of the fault line segment and the transient electrical quantity data of the fault line segment; and determining a reference distance between the fault point and the target measurement node according to the transient electrical quantity data and the line parameters in the dynamic topology model, and determining the position of the fault point in the fault local interval according to the reference distance. The method adapts to a complex active scene after the distributed power supply is connected, and achieves the quick, accurate and reliable positioning of the fault of the power distribution network.

The application discloses a kind of power failure judging method and system, the present application includes using backtracking algorithm traversing all fault users in fault user list, generate the line fault range corresponding to different transformer station area;According to the fault judgment type of the line corresponding to the preset voltage grade line, the fault line in line fault range is judged, and the corresponding fault positioning information is generated according to the judgment result;Correlate fault positioning information with the fault user information in fault user list, generate fault management list data;According to the division of fault management list data in different jurisdiction, generate the corresponding work order and output.The technical problem that the existing technology needs rush repair personnel to verify the real range of fault, which leads to the technical problem that the work burden of rush repair personnel is increased.The application confirms the power grid fault type by using big data, and accurately confirms the fault boundary point, feeds back to the relevant staff and customers through work order information, reduces the complaints generated by customers because of power failure and needs to dial the phone to report trouble.

The invention provides a data coding method and related equipment, which are used for improving data coding efficiency. The method includes obtaining a first value and a first coding interval of the first value. A demarcation proportion table is obtained, the demarcation proportion table comprises the corresponding relation between the bit width of the numerical value and a demarcation point, the demarcation point indicates the reduction proportion of the coding interval in a default proportion mode, and the default proportion mode indicates the default relation between the number of bits with the value being 0 and the number of bits with the value being 1 in the numerical value. And according to the first coding interval and the boundary proportion table, coding the first numerical value to obtain a first coding value.

The application discloses a kind of urban rail system vulnerability assessment methods considering time-varying demand, which comprises: collecting urban rail system site and line data, and AFC system card data;Complex network theory is used to model urban rail system;According to travel time and passenger tolerance, determine the sensitive time demarcation point of passenger to urban rail system operation delay;According to the operation delay time and sensitive time demarcation point, select model to calculate vulnerability index, assess the vulnerability of urban rail system.The application example is based on the traditional vulnerability index based on topological structure, from the angle of different degree operation delay, the vulnerability index model considering dynamic travel demand is established, and the dynamic assessment of urban rail system vulnerability is realized.So it can provide support for daily maintenance, management of urban rail system and post-disaster resource allocation.

This invention discloses a method for optimizing the capacity of peak-shaving power sources in large-scale new energy bases, relating to the field of power system optimization and dispatching technology. The invention includes: acquiring full-cycle power time-series data of new energy generation and power transmission; constructing and solving an upper-level optimization dispatching model to obtain the energy storage capacity sequence of energy storage devices throughout the entire cycle; setting time boundary points when the energy storage capacity of the energy storage devices reaches their operational upper limit, and dividing the time series into multiple continuous time segments based on all boundary points; constructing and solving a lower-level optimization dispatching model within each time segment to obtain the optimization results for each time segment; aggregating the optimization results of each time segment to output the dispatching plan and capacity optimization scheme for peak-shaving power sources. This invention, based on a progressive optimization strategy of dynamically segmenting energy storage capacity, effectively overcomes the shortcomings of traditional one-time solutions with large computational loads and unsatisfactory optimization effects with fixed segmentation, improving the solution efficiency and engineering practicality of medium- and long-term capacity optimization problems.

The application discloses an industry electricity consumption prediction method, system and equipment based on an industry chain association, relates to the technical field of power system load prediction, and comprises the following steps: obtaining electricity consumption sequences of upstream and downstream industries, and respectively constructing upstream and downstream phase space trajectories through delay embedding; a differential homeomorphism mapping relationship between the upstream and downstream phase space trajectories is established, a joint phase space is constructed according to the mapping relationship; sustained homology analysis is performed on the joint phase space, a filter parameter value at which a homology feature suddenly changes is identified as a time-varying division point; the joint phase space is divided into multiple sub-regions according to the time-varying division point, an optimal transmission distance is calculated in each sub-region, and a dynamic time lag parameter function is obtained; the dynamic time lag parameter function is embedded into a time series neural network, network weights are jointly optimized, and a downstream industry electricity consumption prediction value is output. The application can capture continuous evolution and structural mutation of time lag, and effectively improves the prediction accuracy of industry electricity consumption under industry chain fluctuation.

The application discloses a power distribution network four-quadrant adaptive intelligent current protection method and system, which comprises the following steps: determining a phase angle difference according to fault current data and fault voltage data; determining a fault type and a target quadrant of the fault type in the four quadrants of the power distribution network through the phase angle difference, wherein the fault type comprises a resistive and inductive load user fault, a non-clean energy power generation user fault, a clean energy power generation user fault, a resistive and capacitive load user fault, and a line fault after a power flow direction is changed after an operation mode is changed; overcurrent protection is adopted in the case that the fault current data is greater than a current setting value; and overcurrent protection is performed on the line fault with the same point fault after the power flow direction is changed after the operation mode is changed due to different fault currents in different operation modes. The application can perfectly solve the problem that different fault currents inside and outside the demarcation point of various power generation users cannot reliably act, and effectively improves the speed and selectivity of the fault protection of the power distribution network.

The invention discloses a differential clock domain crossing data transmission method and device based on dynamic data boundary, and belongs to the field of digital integrated circuit design. The method is realized through the following steps of: firstly, dynamically calculating a data demarcation point according to an input parameter, and dividing original data into a high-order part and a low-order part; secondly, executing an enhanced protection process of Gray code coding, target clock domain synchronization and Gray code decoding on the high-order part; meanwhile, executing an economical flow of direct synchronization of a multi-stage register on a low-order part; and finally, combining the two parts of data in the target clock domain to complete transmission. The corresponding device comprises a dynamic demarcation module, a dual-path synchronization module and a merging module. According to the method, the optimal synchronization strategy is implemented on the data bits with different risk characteristics, so that the comprehensive optimization of hardware resources, power consumption and transmission delay is realized while high reliability is ensured, and the method is particularly suitable for occasions such as spread spectrum clock phase-locked loops which have strict requirements on time sequence and reliability.

The invention discloses a loop identification method and device, and belongs to the technical field of image processing, and the method comprises the steps: obtaining a to-be-processed wiring diagram and the attribute information of a plurality of preset power transformation loop types, sequentially carrying out the recognition of equipment primitives, generating a connection topology result between the equipment primitives, and obtaining a connection topology result between the equipment primitives; the power transformation loop type identification is completed by using the preset attribute information, so that full-process automation of loop identification is realized, misjudgment (such as confusion of isolating switch demarcation points and missing detection of small-size equipment) caused by experience difference of personnel and visual fatigue is effectively eliminated, the identification accuracy is improved, and the identification efficiency is improved. The adverse effect on the reliability evaluation result of the power transmission and transformation system is avoided, and finally the requirements of a modern large-scale and complicated power system for real-time and precise decision support are met. That is to say, accurate identification and optimization of the loop can be realized, the efficiency and accuracy of reliability analysis of the power transmission and transformation system can be effectively improved, and scientific decision support is provided for power grid planning and operation.

The invention belongs to the technical field of power system resource optimization configuration and scheduling, and discloses a two-dimensional flexible resource optimization configuration and scheduling method based on a screening curve model, and the method comprises the steps: extracting upward and downward flexible demand duration curves according to hourly load data and new energy prediction output data of a complete year of a target region; establishing a linear relationship between the annual total operation cost of the resource and the annual utilization hours; calculating a technical economy demarcation point set of any two resources, and generating a technical economy sequence through combination with an upward or downward flexibility demand duration curve; and calculating unit capacity expected annual average income and an annual operation cost gap, and determining a corresponding scheduling priority coefficient in system scheduling in combination with the planned capacity of each type of resources in the optimized supply structure. According to the method, the limited system adjustment capability can be preferentially guided to key flexible resources with excellent technical economy and high system adjustment value, so that the scheduling efficiency is optimized.

The application relates to the field of measuring electric variables, in particular to a meter relay service life evaluation method and system, which comprises the following steps: obtaining current data of a relay under different historical loads, calculating current distortion damage degrees of different loads, and obtaining a current distortion damage sequence sorted according to the sizes of the load currents; adjusting the current distortion damage sequence to obtain a load current-distortion damage degree curve, obtaining a threshold value preset at a load grade boundary point, and then obtaining load damage amounts of different load grades; calculating a service life loss degree of the relay according to the load damage amounts of different load grades; obtaining historical data of a plurality of relays to train a preset LSTM model, optimizing model parameters through a preset loss function, and obtaining a service life estimation model; obtaining real-time data of the relay, and inputting the real-time data into the service life estimation model to complete real-time remaining service life evaluation of the relay. The application has the effect of accurately evaluating the service life of the relay.