51results about How to "Accurate and effective assessment" patented technology

The invention belongs to the technical field of wireless communications, and discloses a 3D MIMO (Three-dimensional Multiple Input Multiple Output) statistical channel modeling method based on actual measurement, which effectively and accurately reflects the real three-dimensional channel environment and improves the accuracy of a channel model. Statistical characteristics of large scale parameters are extracted through external field measurement, and a cross correlation matrix of large scale parameters is generated to solve the non-positive problem of the matrix in the existing model; a linear model is used to make a statistics of elevation spread of the modeled 3D MIMO channel, which increases the dependence of vertical domain angle spread and distance; a sub-diameter azimuth and a sub-diameter elevation dependent on each other are randomly generated through the mixed Von Mises Fisher distribution; and according to the statistical analysis of the external field measurement, each characterization parameter of the channel model is determined, and a 3D MIMO channel coefficient is generated. The 3D MIMO statistical channel modeling method based on the actual measurement provided by the invention expands the application of the 3D MIMO channel model, and provides a powerful tool for accurately and efficiently evaluating a related algorithm of a 3D MIMO system.

The invention relates to the field of computer aided language teaching, and provides a method for estimating pronunciation. The method comprises the following steps of: receiving an actual measurement sound signal of single language or a plurality of languages; generating an actual measurement audio frame signal according to the actual measurement sound signal; and comparing the actual measurement audio frame signal with a standard audio frame signal to estimate the quality of the actual measurement sound signal. The invention further discloses a system for estimating pronunciation. With the method and the system for estimating pronunciation provided by the invention, the quality of pronunciation can be estimated more accurately and effectively in a simple way.

The invention discloses a method and device for assessing multimedia quality. The method comprises the step of obtaining benchmark quality and ultimate quality of a video of a multimedia sequence and benchmark quality and ultimate quality of of an audio of the multimedia sequence, the step of determining the benchmark quality of the multimedia sequence based on the benchmark quality of the video and the benchmark quality of the audio, the step of determining a distortion value of the multimedia sequence according to the benchmark quality of the video, the ultimate quality of the video, the benchmark quality of the audio and the ultimate quality of the audio, and the step of determining the multimedia quality of the multimedia sequence according to the benchmark quality of the multimedia sequence and the distortion value of the multimedia sequence. The method and device for assessing the multimedia quality can directly reflect the distortion of the multimedia sequence, conforms to the subjective feeling of people, and then can accurately and effectively assess the multimedia quality.

The invention discloses a capacitance type oilpaper transformer sleeve insulation state assessment method, which belongs to the electrical equipment insulation diagnosis technology field, relates to the capacitance type oilpaper sheathed tube insulation diagnosis and particularly relates to a capacitance type oilpaper sleeve insulation state assessment method. The capacitance type oilpaper transformer sleeve insulation state assessment method comprises steps of performing the mathematics exponential function fitting on the cannula capacitance frequency domain spectrum curve through the combination of the mathematics modeling simulation and laboratory test and utilizing the integration of the fitting function to perform description on the frequency domain spectrum curve variation under various insulation states. As a result, the accurate and lossless assessment on the cannula insulation state through the application of the frequency domain dielectric spectrum method can be achieved. The capacitance oilpaper transformer sleeve insulation state assessment method can perform accurate assessment on the insulation state without assembling and disassembling the cannula, and is easy. Furthermore, the capacitance oilpaper transformer sleeve pipe insulation state assessment method can make accurate and effective assessment on the insulation state of the capacitanc type oilpaper cannula and can provide accurate basis to the maintenance and replacement of the cannula.

The invention discloses a video experiencing quality estimation method, a device and a system. The system comprises a quantification parameter providing device, a video experiencing quality estimation device and an estimation result receiving device. The video experiencing quality estimation device comprises a quantification parameter receiving unit, a calculating unit and an estimation result transmitting unit. The quantification parameter receiving unit receives the parameters used to calculate the video experiencing estimation value wherein the parameters comprises the bit rate of the video (BrV), the initial time delay TID, the buffering ratio Rp and the buffering frequency Rf. The invention can simulate the subjective experience of a user in real time, is very timely and effective; and therefore, the method, the device and the system can be conveniently deployed and applied and the applicability is high.

The invention discloses an internet financial enterprise credit risk analysis method and system based on big data. The method comprises the steps that the credit information of an internet financial enterprise is collected; a credit risk assessment model related to the internet financial enterprise is constructed through the collected credit information; a credit risk assessment model related to the internet financial enterprise is constructed; the constructed credit risk assessment model is used to assess the credit risk of the internet financial enterprise; and an internet financial platformdetermines whether financial transactions with the internet financial enterprise is suitable. According to the internet financial enterprise credit risk analysis method based on big data, the creditof the internet financial enterprise can be accurately evaluated; accurate and effective credit assessment is provided for the internet financial platform; the risk control ability of the internet financial platform is improved; and the risk of the problems of the internet financial enterprise is reduced.

The invention discloses a power distribution network data quality assessment method and system. The method comprises the following steps of based on the network architecture characteristic of a powerdistribution network, constructing the quality assessment model of data in the power distribution network; aiming at a power distribution network data characteristic, designing the assessment processof power distribution network data quality; acquiring the data in the power distribution network, and according to the quality assessment model, determining a data object to be assessed; according toa data quality assessment demand, selecting an assessment index; combining the physical significance of an electric power statistical index, designing a corresponding assessment rule, determining theweight of each assessment index and endowing the expected value to each assessment index; and through the qualified percentage of each assessment index, calculating a data quality score. By using thepower distribution network data quality assessment method and system, the mass data in the power distribution network can be accurately and effectively assessed and accurate analysis and evaluation can be provided for the operation of a power grid.

The invention discloses an operation safety evaluation method and system of a railway freight vehicle. According to the method, a mass, a centroid position and a rotary inertia parameter of a vehiclebody loaded with cargos are calculated based on data collected by a data acquisition device; the mass, the centroid position and the rotary inertia parameter of the vehicle body loaded with cargos areinputted into a vehicle-track coupling dynamics model as dynamic parameters; a required wheel-rail contact force is calculated by combining the running condition of the vehicle; a derailment coefficient, an overturning coefficient and a wheel load shedding rate of the vehicle are respectively calculated; and then whether the derailment coefficient, the overturning coefficient and the wheel load shedding rate meet corresponding safety conditions is determined to determine whether the safety index of the vehicle is qualified. Therefore, because of consideration of the characteristic of the loaddiscrete distribution of the railway freight vehicle, the running safety state of the railway freight vehicle can be evaluated accurately and effectively, so that the risk of overturning and derailment of the railway freight vehicle is reduced.

The invention belongs to the technical field of detection devices and particularly relates to a shock resistance testing machine of a racket frame. The shock resistance testing machine comprises a first machine frame and a second machine frame which are oppositely arranged. A racket handle clamping device is arranged between the first machine frame and the second machine frame, an angle dial is further arranged between the racket handle clamping device and the second machine frame, a racket slapping head is further arranged between the first machine frame and the second machine frame, and the racket slapping head is respectively connected with a control system, a driving motor, a resetting motor, a driving clutch and a resetting clutch. Compared with the prior art, the shock resistance testing machine is capable of setting identical swing speed, identical swing angle, identical racket frame point impacting position and identical swing interval time difference, measures and records force of each impact, and enables users to observe force declining of the racket frame after set times is achieved. If a racket is broken before the set times, or the force declines to the set force bias value, the testing machine can shut down automatically.

A novel sensor used for metal corrosion monitoring comprises a power supply module, an MCU control module and a corrosion monitoring module; the power supply module is used for powering up the MCU control module and the corrosion monitoring module; the MCU control module is used for controlling the corrosion monitoring module and analyzing and processing information from the corrosion monitoring module; and the corrosion monitoring module is used for monitoring the corrosion condition of metal to be detected, and uploading data to the MCU control module in real time. The novel sensor adopting noncontact measurement completes short-term pre-estimation and long-term monitoring of the metal corrosion degree. A result of test shows that the performances of the sensor are comparable to those of a desk type constant potential instrument with high price and large size, and so the monitoring ability of the corrosion degree of the metal and especially a steel material is improved.

The invention provides a chip for measuring ohmic contact degradation of a semiconductor device and a method, belonging to semiconductor technology, especially the field of failure evaluation of semiconductor devices. The invention provides the chip special for measuring ohmic contact degradation. The chip is characterized in that an SiO2 insulating medium layer is deposited on the circle ohmic contact surface of a circle transmission line method (CTLM) ohmic contact testing chip with at least 6 circle electrodes, a back electrode prepared by a metal deposition process is arranged on the other surface of the CTLM ohmic contact testing chip and then an outer electrode is fixedly connected on each circle electrode; and the fixed connection points of the circle electrodes and the outer electrodes are arranged on one straight line. Not only can the change relationship of the ohmic contact resistivity of the semiconductor chip along with the applied current and the relationship of the ohmic contact resistivity along with the current applying time be measured by adopting the chip and the method, but also the chip can meet the requirement of large current shock. Therefore, ohmic contact can be evaluated more accurately and effectively by using the chip and method provided by the invention.

The invention discloses a railway freight car operation safety assessment method and system. The truck dynamic model is established according to the parameters obtained through research; based on thedata collected by the data acquisition device arranged on a car coupler, the stress condition and the swing angle data of the coupler in actual operation are calculated; the method further comprises the following steps: inputting the calculated data into the constructed dynamic model of the corresponding freight train as external excitation, calculating the dynamic correspondence of each carriage,finally calculating a corresponding safety index according to the dynamic correspondence of each carriage, and respectively judging whether each truck meets a safe operation condition or not. Therefore, the invention can accurately and effectively evaluate whether the multi-section truck marshalling freight train meets the requirements of safety indexes or not under the influence of the swing angle of the coupler, thereby avoiding serious accidents such as derailment and overturning.

The invention discloses a railway freight train operation safety assessment method and system, and the method comprises the steps: firstly, calculating the mass, t, the centroid position and the rotational inertia parameters of each carriage after loading goods according to the data collected by a data collection device arranged on each carriage; T; then, t, the mass of each carriage is adjusted after the cargos are loaded; i; inputting the centroid position and the rotational inertia parameters into the built dynamic model of the corresponding freight train; T; the method comprises the stepsthat firstly, t, the dynamic response of each carriage is calculated, corresponding safety indexes are calculated according to the dynamic response of each carriage, t, then whether the safety indexesof the carriages meet the safety operation condition or not is judged, and only if the safety indexes of the carriages do not meet the safety condition, it is considered that the safety indexes of the freight train are unqualified. Therefore, whether the safety index of the multi-section marshalling freight train loaded with the goods is qualified or not can be accurately and effectively evaluated, and therefore potential serious accidents such as derailment are avoided.

The invention discloses a real-time risk assessment method facing power grid dispatching operation. The method mainly comprises a step I, reading system real-time running data and a dispatching operation instruction; a step II, searching key equipment according to a system trend change before and after operation, and generating an accident set needed by risk assessment; and a step III, calculating a dispatching operation risk index, i.e., a change value of a system risk index before and after dispatching operation. Generation of the accident set comprises calculating a trend before the operation and the trend after the operation, searching a key line and a key node according to the trend change before and after the operation, performing breadth-first search taking a to-be-operated line and the key equipment as centers and taking N as the search depth, and then the accident set is generated. Furthermore, especially aiming at a line trend overload index and a node voltage out-of-limit index, a specific algorithm is provided. The assessment method can provide an auxiliary decision basis for dispatching personnel to reduce a risk which may be brought by the dispatching operation on a system.

The invention provides a method and a device for evaluating importance of complex network nodes. The method comprises the following steps: acquiring local topology information and global position information of each node in a complex network to be evaluated; fusing the local topology information and the global position information of each node to obtain the quality of each node in the complex network; obtaining structural hole characteristics of the complex network, and obtaining a correction function of each node according to the structural hole characteristics; and evaluating and calculating the importance of each node according to the quality of each node and a gravitation model corrected by using the correction function, and obtaining an importance ranking list of the complex network according to the importance. According to the method, the importance degrees of the nodes in the complex network can be evaluated and sorted more accurately and effectively, important nodes can be found effectively, and the adaptability is high.

The invention provides a station and line operation safety evaluation method of a hub airport passenger shortcut system. The method comprises the steps that a station and line operation safety evaluation index system of the hub airport passenger shortcut system is constructed, and quantized values of all evaluation indexes are calculated according to corresponding quantized standards; the weight of each evaluation index is determined through the combination weighting of an analytic hierarchy process and an entropy method; According to the quantized value and weight of each evaluation index, the evaluation value of the operation safety of the station and the line is calculated And the state or risk level of the operation safety of the station and the line are determined according to the evaluation value of the operation safety of the station and the line. According to the method, the operation safety state of the airport passenger shortcut system can be simply, quickly, accurately and efficiently evaluated. And the missing data is compensated by using a moving average window method, so that the influence of data missing on causal analysis is inhibited to a certain extent.

The invention provides a network quality estimation and detection method, and belongs to the application field of network technology. According to the estimation and detection method, the problem that the prior art only relies on one factor selected from package loss, time delay and jitter for network quality estimation and thus the detection result is not reliable can be solved, and three factors of package loss, time delay and jitter are combined at the same time for estimating the network quality, unreliability when one factor is used for estimation can be avoided, and the network quality can be accurately and effectively estimated. In addition, the time delay and jitter calculation method also has specific beneficial effects, and reliability of network quality estimation is greatly improved.

The invention discloses an analytic hierarchy process-based power data quality evaluation model construction method. The method comprises the steps of constructing an analytic hierarchy process-basedquality evaluation model of power data in a metering automation system; acquiring electric power data in the metering system, and determining a corresponding data quality evaluation object; selectingand accurately defining evaluation dimensions according to requirements of data quality evaluation; designing evaluation rules of different dimension indexes in combination with different metering data object business calculation rules; combining metering business reality, fully applying expert experience, constructing a judgment matrix to determine the weight of each evaluation index, and endowing each evaluation index with an expected value; and running the configured evaluation rule for evaluation, and calculating a data quality score according to the qualified percentage. According to themethod, the mass data in the metering automation system can be accurately and effectively evaluated, the hidden danger that the power data quality is reduced is discovered in time, and the managementlevel of a power grid company on the power data quality is improved.

The invention belongs to the field of heat flow sensor calibration, and relates to a heat flow calibration method for a ground heat intensity cabin test of an aerospace plane, which comprises the following steps of: measuring the temperature of a dummy test piece by placing a standard heat flow density sensor and a to-be-calibrated heat flow density sensor in the same symmetrical working environment; the heating devices are symmetrically arranged on the two sides of the false test piece, the temperature measuring sensor is arranged on the false test piece, and the temperature difference measured by the standard heat flux sensor and the heat flux sensor to be calibrated is compared at the same temperature point, so that the numerical value of the heat flux sensor to be calibrated can be corrected efficiently and accurately; the unpredictable convective heat transfer influence in the experiment can be accurately quantified through the benchmarking standard heat flow density sensor, the heating precision of the heat flow test is improved, and the examination of the ground heat intensity test on the structural member is more accurate and effective. A guiding effect is achieved on the measurement of convective heat transfer by using the total heat flux density sensor; and meanwhile, natural convection and forced convection tests can be respectively carried out.

The invention discloses a distribution transformer power failure electric quantity loss prediction method based on deep learning. The method includes: classifying the distribution transformer load curves based on a fuzzy C-means clustering algorithm to obtain various clustering center load curves, calculating the amplification of various distribution transformer loads and corresponding various center loads in each time period, and selecting the time period of which the amplification rate is smaller than a threshold value as a time period to be predicted; predicting a load value of a to-be-predicted time period by utilizing the trained gating cycle unit neural network to serve as power failure loss electric quantity; and solving the target function, and obtaining the electric duration whenthe target function is optimized. According to the invention, the calculation of power failure loss electric quantity is realized, data support is provided for improving the reliability of power supply, and the optimal management of planned power failure is realized based on user load curve clustering.

The invention discloses a power distribution network node importance evaluation method and system, a storage medium and computing equipment, and the method comprises the steps: abstracting a power distribution network into a plane topological graph according to the actual wiring condition of a power distribution network; calculating the weighted betweenness centrality of each node according to thepower distribution network topological graph obtained by abstraction; on the basis of the weighted betweenness centrality, analyzing the global importance of the power distribution network nodes comprehensively, generating a power distribution network important node set, and achieving power distribution network node importance evaluation. According to the method, the weighted betweenness centrality is taken as an index, the evaluation of the importance of the nodes of the power distribution network is realized, and important nodes can be accurately and effectively detected for analysis, construction, upgrading, transformation, operation optimization control and the like of the power distribution network.

The invention relates to an engineering structure numerical model calibration method and device, electronic equipment and a medium. The method comprises the steps of obtaining an engineering structurenumerical model library of a target project; constructing a plurality of response function mathematical models based on the engineering structure numerical model library and the plurality of positions, the plurality of external effect quantities and the plurality of variables of the target engineering; acquiring multi-source monitoring information of the target project; generating a plurality ofstructure parameter combination sets meeting a preset error based on the plurality of response function mathematical models and the multi-source monitoring information; and calculating a confirmationindex and a singularity confirmation index of the plurality of structure parameter combination sets, and evaluating the engineering structure numerical model calibration credibility based on the confirmation index and the singularity confirmation index of the plurality of structure parameter combination sets. According to the invention, the numerical simulation model reflecting the completeness ofthe multi-source monitoring information of the actual engineering structure can be obtained, and then accurate and effective prediction, evaluation and diagnosis of the actual engineering are achieved.

The invention discloses a power supply interruption loss analysis method and device. The method comprises the steps of obtaining average loss values corresponding to multiple interruption durations ofa to-be-analyzed industry; constructing an initial duration loss model according to the interruption duration and the average loss value; receiving actual loss values respectively corresponding to the plurality of interruption durations of the target object of the to-be-analyzed industry; adjusting the initial duration loss model according to the interruption duration and the actual loss value togenerate a target duration loss model of the target object; receiving the predicted interruption duration of the target object; and determining a loss risk value of the predicted interruption duration according to the target duration loss model. The technical problems of high loss assessment cost and low assessment result accuracy in the prior art are solved, and the risk of power supply interruption loss is assessed more accurately and effectively.

The invention discloses a regional production-living-ecology space influence and cooperation level evaluation method and system, and relates to the technical field of urban and rural planning management. The method comprises the following steps: acquiring basic information of a target area and setting an evaluation index of a production-living-ecology space of the target area according to the basic information; acquiring real-time index data of the target area according to the evaluation index; classifying the real-time index data and establishing a target index system; calculating the weight of each secondary index in the target index system to obtain a corresponding weight value; establishing an influence and cooperation level model of the target area based on the weight value of each secondary index; and evaluating the influence and cooperation level of the target area according to the target index system and the influence and cooperation level model to generate an evaluation result. According to the invention, based on big data and a machine learning algorithm, the influence and cooperation level among the regional production-living-ecology space functions are accurately, comprehensively, quickly and effectively evaluated.

The invention discloses a method for evaluating a maximum economic dimension coefficient of a grounding device under horizontal layered soil. The method comprises the steps of: building a device for testing the maximum economic dimension coefficient of the grounding device under the horizontal layered soil; according to an evaluation step, applying a transient voltage to a test grounding device byusing a transient voltage generator, and measuring and recording transient voltage wave front time; and calculating and evaluating the maximum economic dimension coefficient of the grounding device under the horizontal layered soil according to the transient voltage wave front time and a soil environment where the test grounding device is located. According to the method, the transient process that transient current flows into the ground along the grounding device when the grounding device is struck by lightning in the horizontal layered soil environment can be accurately simulated, the testdevice can accurately and effectively measure and record the transient voltage wave front time, and the method can be used for accurately and effectively evaluating the maximum economic dimension coefficient of the grounding device under the horizontal layered soil.

The invention belongs to the technical field of wireless communications, and discloses a 3D MIMO (Three-dimensional Multiple Input Multiple Output) statistical channel modeling method based on actual measurement, which effectively and accurately reflects the real three-dimensional channel environment and improves the accuracy of a channel model. Statistical characteristics of large scale parameters are extracted through external field measurement, and a cross correlation matrix of large scale parameters is generated to solve the non-positive problem of the matrix in the existing model; a linear model is used to make a statistics of elevation spread of the modeled 3D MIMO channel, which increases the dependence of vertical domain angle spread and distance; a sub-diameter azimuth and a sub-diameter elevation dependent on each other are randomly generated through the mixed Von Mises Fisher distribution; and according to the statistical analysis of the external field measurement, each characterization parameter of the channel model is determined, and a 3D MIMO channel coefficient is generated. The 3D MIMO statistical channel modeling method based on the actual measurement provided by the invention expands the application of the 3D MIMO channel model, and provides a powerful tool for accurately and efficiently evaluating a related algorithm of a 3D MIMO system.

A generation method of multi-objective path optimization test problem. Its purpose is to generate a path network that can be used to accurately evaluate the performance of various multi-objective pathoptimization algorithms, and the complexity of the problem can be adjusted. When generating the path network, the method of the invention firstly sets the cost value of each objective function of allPareto optimal paths of a plurality of objective path optimization test problems according to the required complexity of the problem; the cost value of each objective function of all Pareto optimal paths of a plurality of objective path optimization test problems is set according to the complexity of the problem. Then the nodes are randomly inserted into each Pareto optimal path so that each Pareto optimal path is composed of several nodes and links. Finally, the nodes and links that do not belong to any Pareto optimal path are randomly added to the path network, and the links that do not belong to any Pareto optimal path are assigned the cost value by the algorithm, so as to ensure that any path that contains such links is not Pareto optimal path. Thus, it is possible to accurately testand evaluate the ability of various multi-objective path optimization algorithms to solve the complete Pareto front according to the complexity of the problem.

The invention relates to a surgical planning evaluation method, computer equipment and a storage medium. The method comprises the following steps: acquiring specific data and a first heart structure model of a to-be-detected object, determining a first blood flow parameter according to the specific data and the first heart structure model, and determining a second blood flow parameter according to the specific data and a second heart structure model; and determining a quantification result according to the first blood flow parameter and the second blood flow parameter. The first heart structure model is a pre-operative simulation model, and the second heart structure model is a simulation model in which a virtual bridge blood vessel structure is bridged after an operation, so that the quantitative result reflects simulation comparison of a patient before and after the coronary artery operation; and on the basis of a simulation comparison result, the bridging mode or bridging trend and other characteristics of the bridge blood vessel in the operation can be determined, and corresponding reasonable planning and evaluation can be performed on a virtual operation scheme to assist doctors in clinical decision making.

A novel sensor used for metal corrosion monitoring comprises a power supply module, an MCU control module and a corrosion monitoring module; the power supply module is used for powering up the MCU control module and the corrosion monitoring module; the MCU control module is used for controlling the corrosion monitoring module and analyzing and processing information from the corrosion monitoring module; and the corrosion monitoring module is used for monitoring the corrosion condition of metal to be detected, and uploading data to the MCU control module in real time. The novel sensor adopting noncontact measurement completes short-term pre-estimation and long-term monitoring of the metal corrosion degree. A result of test shows that the performances of the sensor are comparable to those of a desk type constant potential instrument with high price and large size, and so the monitoring ability of the corrosion degree of the metal and especially a steel material is improved.