194 results about "Frequency determination" patented technology

The embodiment of the invention provides a fault identification method of a shield tunneling machine, electronic equipment, a storage medium and a program product. The method comprises the steps that a vibration signal of a bearing of the shield tunneling machine is obtained, iterative calculation is conducted on the vibration signal through a preset mantis shrimp algorithm, a signal decomposition parameter corresponding to the vibration signal is obtained, and the preset mantis shrimp algorithm at least comprises the parameter range of the preset signal decomposition parameter; decomposing the vibration signal according to a modal decomposition number and a filter length carried in the signal decomposition parameter to obtain a target modal component containing fault information; and determining an envelope spectrum corresponding to the target component, and determining the fault type of the shield tunneling machine according to the fault frequency in the envelope spectrum. The method is used for achieving the effect of determining the fault type of the shield tunneling machine.

The invention belongs to the technical field of uncertainty probability characterization analysis, and discloses a thermoplastic composite material leading edge structure design allowable value probability characterization method and system under a small sample condition, and the method comprises the steps: defining a plurality of candidate probability distribution models; fitting each model based on the original sample data and calculating an AIC value and a BIC value; a dynamic weight factor alpha is calculated according to the sample size n, and then a hybrid information criterion HIC value is calculated; generating a plurality of sample sets through Bootstrap self-service sampling, recalculating the HIC value on each sample set, and counting the selected optimal frequency of each model; and determining an optimal probability distribution model according to the frequency, wherein the optimal probability distribution model is used for representing a design allowable value. According to the method, the dynamic weight factor alpha is introduced, AIC and BIC criteria are effectively unified, optimal balance between prediction precision and model complexity is achieved under the condition of small samples, and engineering practicability and robustness are remarkably improved.

The invention provides a query optimization method and system for a distributed database. The method comprises the following steps: determining a high-frequency data unit set in a distributed database, and generating a sub-query task division scheme for each data unit in the high-frequency data unit set; according to the dependency relationship between the sub-query tasks represented by the sub-query task division scheme, determining the interaction frequency between the data units, and determining a data distribution scheme according to the interaction frequency; according to a storage relationship indicated by the data distribution scheme, determining an index set of each node for querying the stored data unit; for each index set, respectively calculating execution costs of different sub-query tasks according to an access mode supported by a query data unit supported by the index set, and generating a sub-query task parallel scheme according to the execution costs; and generating a node scheduling scheme meeting the execution sub-query task parallel scheme. The query speed of the distributed database and the overall performance of the system can be improved.

The present invention provides a method, device, and apparatus for determining the instantaneous angular velocity of a rotating machine, wherein the method includes: obtaining a time-frequency diagram corresponding to an acceleration signal of the rotating machine within a preset time period; determining multiple first continuous ridge structures within the first sub-time period based on the local peak value of the spectrum corresponding to any moment in the time-frequency diagram; updating the multiple first continuous ridge structures based on a preset global optimization algorithm and the second ridge point of the time-frequency diagram in the second sub-time period to determine multiple second continuous ridge structures of the time-frequency diagram within the preset time period; determining a target instantaneous frequency within the preset time period based on a preset frequency domain sparsity evaluation index and the multiple second continuous ridge structures, and determining a target instantaneous angular velocity based on the target instantaneous frequency. The solution of the present invention can improve the accuracy of extracting the instantaneous angular velocity.

The invention discloses a capacitor loss angle determination method and device, a storage medium and computer equipment, and the method comprises the steps: carrying out the coarse frequency scanning of a measurement loop based on a logarithmic frequency step length, and determining a resonance region based on the change rate of the impedance amplitude of the measurement loop; performing fine frequency scanning on the measurement loop based on the linear frequency step length in the resonance area; determining a resonance peak based on the impedance amplitude of a frequency point in the resonance area; determining resonance attribute information of the resonance peak; selecting a reference frequency point in a preset area around the resonance peak based on the resonance attribute information; determining an initial resonance point frequency of the measurement loop, and compensating the initial resonance point frequency to obtain a resonance point frequency; determining a resonance type and a corresponding loss angle determination mode, determining initial circuit parameters, and performing error compensation on the initial circuit parameters in real time to obtain circuit parameters; and based on the circuit parameters and the resonance point frequency, determining the capacitor loss angle by using a loss angle determination mode.

The invention provides a frequency determination method and device, electronic equipment, a medium and a chip, and relates to the technical field of frequency determination, and the method comprises the steps: determining the performance parameter of each module in a plurality of modules; based on the performance parameters of each module, determining a performance model and a power consumption model of each module; based on the performance model and the power consumption model of each module, determining an energy efficiency optimization model of the plurality of modules; the method comprises the steps of determining a target frequency set of multiple modules based on an energy efficiency optimization model, determining a performance model and a power consumption model of each module based on performance parameters of each module, and obtaining energy efficiency models of the multiple modules according to the performance model and the power consumption model of each model. And finally, target frequencies of the multiple modules can be obtained based on the energy efficiency models of the multiple modules, and joint frequency modulation among the multiple modules is realized.

The present application provides a query optimization method and system for a distributed database. The method includes: determining a high-frequency data unit set in a distributed database, and generating a sub-query task division scheme for each data unit in the high-frequency data unit set; determining the interaction frequency between each data unit according to the dependency relationship between sub-query tasks represented by the sub-query task division scheme, and determining a data distribution scheme based on the interaction frequency; determining an index set for each node to query the stored data units according to the storage relationship indicated by the data distribution scheme; for each index set, calculating the execution cost of different sub-query tasks according to the access mode supported by the data units supported by the index set, and generating a sub-query task parallel scheme based on the execution cost; generating a node scheduling scheme that satisfies the execution of the sub-query task parallel scheme. The present application can improve the query speed of a distributed database and the overall performance of the system.

The invention relates to the technical field of data processing, in particular to a feed full-process production data acquisition method and system for a smart factory, and the method comprises the steps: obtaining production data corresponding to each data acquisition device at each production stage in a feed production process; obtaining a position influence coefficient of each data acquisition device in each production stage in combination with the position information of the data acquisition devices according to the data difference between the production data corresponding to the data acquisition devices at adjacent positions in each production stage; according to the similar condition between the position influence coefficients of different data acquisition devices in each production stage, and in combination with the fluctuation condition of the environment information, obtaining a data condition effective index of each production stage; and according to the data condition effective index of each production stage, whether the data acquisition frequency is adjusted is analyzed, and a data acquisition method is determined. According to the invention, the data acquisition frequency can be adaptively adjusted to optimize the data acquisition method, and the effectiveness of data acquisition is improved.

The invention provides a working frequency determination method and device, a medium and a program product. Relates to the technical field of wireless transmission. The method is applied to the wireless electric energy transmission system and comprises the steps that a first response function and a second response function of the wireless electric energy transmission system are obtained, and the first response function represents the relation between parasitic resistance and working frequency of a coil in the wireless electric energy transmission system; the second response function represents the relationship between the parasitic resistance of the capacitor in the wireless power transmission system and the working frequency; determining a target mesh current equation according to the first response function, the second response function and an equivalent circuit model corresponding to the wireless power transmission system; and determining the actual working frequency of the wireless power transmission system according to the target mesh current equation. According to the invention, the effect of improving the wireless power transmission efficiency and precision is achieved.

The invention discloses a data processing method and device, electronic equipment and a readable storage medium, and relates to the technical field of data read-write.The method comprises the steps that after target data is determined, the data type and the operation frequency of the target data are obtained; determining a target data block according to the data type and the operation frequency, and distributing the target data block to a corresponding performance area in the target hard disk in advance according to the access frequency of the target data block; the data processing operation is executed based on the target data and the target data block, so that the problem that a write amplification effect exists in the data processing process can be solved, the data processing is executed based on the performance advantages of the target data block, the frequently written data is placed in an area with a smaller write amplification effect, and the data processing efficiency is improved. Therefore, the technical effects of reducing the write amplification effect based on flexible placement of the data, improving the data processing efficiency and prolonging the service life of the SSD are achieved.

The invention relates to the technical field of noise filtering, in particular to an electronic circuit with a transmission line type noise filter, and the electronic circuit comprises a frequency determination device which is used for determining the working frequency and voltage of the electronic circuit; the device determining device is used for selecting a microstrip line as a transmission line and optimizing the filter by using a composite right / left hand transmission line and an open-circuit T-shaped structure; the impedance matching device is used for matching the impedance of the filter with the impedance of the transmission line; the matching measuring device is used for measuring the impedance matching effect by using a reflection coefficient and a VSWR (Voltage Standing Wave Ratio); and the software simulation device is used for simulating and optimizing the matched filter and transmission line by using simulation software. According to the invention, the impedance of the filter is matched with the impedance of the transmission line, so that the impedance change of the signal in the transmission process is reduced, the reflection of the signal is reduced, and the transmission quality and efficiency of the signal are improved.

The invention discloses a generation method and device for a mixed precision quantization operator, and relates to the field of deep learning, and the method comprises the steps: converting a quantization program inputted by a user into an initial Qtile calculation graph based on Qtile tensor representation; performing equivalent transformation on the initial Qtile calculation graph to generate a plurality of candidate Qtile calculation graphs which are equivalent to the initial Qtile calculation graph; according to the reuse frequency of operator input data in each candidate Qtile calculation graph, determining an optimal data layout position and an optimal data loading strategy of each candidate Qtile calculation graph; on the basis of the optimal data layout, the optimal data loading strategy and a code generation technology based on a template, codes of all the candidate Qtile computational diagrams are generated, and the codes of the candidate Qtile computational diagrams are achieved through codes of mixed precision quantization operators. According to the invention, an optimized high-performance mixing precision quantization operator can be output.

The invention provides a tunnel surrounding rock inherent frequency determination method and system based on a numerical sample, and relates to the technical field of tunnel engineering, and the method comprises the steps: obtaining geological survey data of target deep-buried jointed rock tunnel engineering; performing parameter model establishment and parameter setting by combining a three-dimensional numerical inversion method according to the geological survey data to obtain parameterized model configuration; performing numerical model construction processing according to the parameterized model configuration, and generating an inherent frequency numerical sample data set; sensitivity analysis is carried out according to the inherent frequency numerical value sample data set, and a main control factor screening result is obtained; establishing a prediction model according to a main control factor screening result to obtain an inherent frequency prediction model; and inputting real-time main control factor data obtained by field monitoring into the inherent frequency prediction model for prediction processing to obtain inherent frequency time-frequency characteristics and main frequency information of the target deeply-buried jointed rock tunnel. The construction safety and the engineering decision-making efficiency are remarkably improved.

The invention relates to a vibration suppression method of a high-precision hardware part continuous punching machine in the field of intelligent manufacturing equipment industry in high-end equipment manufacturing industry, which comprises the following steps of: identifying a main vibration frequency and a secondary vibration frequency by adopting a peak detection algorithm according to vibration spectrum distribution, and determining a key frequency point set of multi-band vibration; through a pre-established vibration mode and damping parameter mapping model, for the dominant frequency vibration feature vector, a table look-up method is adopted to obtain a corresponding initial damping parameter combination, and a preliminary damping adjustment scheme is determined; the optimized damping parameter combination is adopted, the rigidity and the damping coefficient of a damping device are dynamically adjusted through a servo control system, multi-frequency-band vibration is restrained, and stable stamping process data are obtained; geometric dimension data of the suspender and the check claw are collected in real time through a laser measurement system, the dimensional deviation trend is analyzed through a statistical process control algorithm, and the stability of the stamping process is judged.

The present application relates to the technical field of data processing, and more particularly to an educational data processing method based on coexistence of standard reference and norm reference, comprising: obtaining real-time access times, accuracy and interaction frequency; determining a first temporary target; determining a second temporary target; determining a processing target; determining a target evaluation index and an analysis evaluation index; and determining an evaluation grade after adjusting the reference threshold according to the index deviation. The present application can accurately capture the performance of students in different learning scenarios, real-time evaluate their learning state and dynamically adjust by fusing the dual evaluation mechanism of standard reference and norm reference. Through the gradual adjustment of the standard reference threshold and the deep application of the clustering analysis model, the limitations of single evaluation method can be eliminated, the evaluation result is more comprehensive, accurate and personalized, and the problem of low recognition accuracy of the processing device caused by poor data objectivity due to single evaluation standard is effectively solved.

The embodiment of the invention discloses a fault detection method and device for an electric drive bearing and a vehicle. The fault detection method comprises the following steps: acquiring a current signal of the electric drive bearing; performing time-frequency processing on the current signal to determine an instantaneous frequency estimation value; performing compression change processing on the instantaneous frequency estimation value to determine a time-frequency graph of the instantaneous frequency estimation value; and performing frequency extraction on the time-frequency diagram, and determining whether the electric drive bearing has a fault or not according to the extracted frequency. According to the technical scheme provided by the embodiment of the invention, detection is carried out based on the current signal of the electric drive bearing, efficient and accurate detection of the fault of the electric drive bearing is realized, meanwhile, the current signal acquisition mode is simple, and the detection cost is reduced.

The application provides a tunnel surrounding rock inherent frequency determination method and system based on numerical sample, relates to the technical field of tunnel engineering, and comprises the following steps: obtaining geological survey data of a target deep buried joint rock mass tunnel engineering; according to the geological survey data, combining a three-dimensional numerical inversion method to establish a parameter model and set parameters, obtaining a parameterized model configuration; according to the parameterized model configuration, carrying out numerical model construction processing to generate an inherent frequency numerical sample data set; according to the inherent frequency numerical sample data set, carrying out sensitivity analysis to obtain a main control factor screening result; according to the main control factor screening result, establishing a prediction model to obtain an inherent frequency prediction model; inputting real-time main control factor data obtained through field monitoring into the inherent frequency prediction model for prediction processing to obtain inherent frequency time-frequency characteristics and main frequency information of the target deep buried joint rock mass tunnel. The application significantly improves construction safety and engineering decision efficiency.

The invention relates to the technical field of wireless broadcast frequency adjustment, in particular to a target equipment wireless broadcast frequency dynamic adjustment method and device, a medium and equipment. The method comprises the steps of obtaining smooth environment temperature data of an environment where target equipment is located once every time a preset temperature collection time point is reached; if Tcu-Tcu-1 is greater than delta T, and tcu-tcu-1 is greater than delta t, skipping to determine an algorithm according to Tcur and a preset wireless broadcast frequency, and updating the wireless broadcast frequency of the target equipment; and otherwise, skipping to continue working at the wireless broadcast frequency currently corresponding to the target equipment. According to the invention, the normal operation of equipment and the stability of wireless communication are ensured. The frequent switching of the wireless broadcast frequency is avoided; and the energy consumption optimization is realized.

The embodiment of the invention discloses a structured management method, device and equipment for unstructured data, and the method comprises the steps: obtaining the unstructured data generated in an aircraft assembly process, and extracting static data and dynamic data from the unstructured data; wherein the updating frequency of the dynamic data is greater than the updating frequency of the static data; target constraint conditions corresponding to the static data and the dynamic data are determined, a static data table is determined according to the static data and the target constraint conditions, and a dynamic data table is determined according to the dynamic data and the target constraint conditions; and constructing a target database according to the static data table and the dynamic data table to realize structured management of the unstructured data. According to the technical scheme, the unstructured data is managed through the target database, structured management of the unstructured data is achieved, the data sharing efficiency is improved, and a basis is provided for effective utilization of the multi-source assembly data.

The present application discloses a method and apparatus for controlling a compressor, an air conditioner, and a computer-readable storage medium. The method for controlling a compressor comprises: inputting current environmental information, current operating condition information, and current setting information into a preset a priori control model, and performing prediction by means of the a priori control model to obtain an a priori control frequency, the a priori control model being obtained by training using historical environmental information, historical operating condition information, and historical setting information; inputting the current environmental information, the current operating condition information, and the current setting information into a preset a posteriori control model, and determining an a posteriori control frequency by means of the a posteriori control model, the a posteriori control model being obtained by constructing the a posteriori control model on the basis of a PID algorithm; and, on the basis of the a priori control frequency and the a posteriori control frequency, determining a target control frequency and controlling a compressor to operate.

To provide an improved technology that can appropriately control a frequency that is used for a magnetic bearing and the peripheral devices thereof.SOLUTION: A frequency control system 8 includes: a sensor current detector 30 for detecting a current I supplied to a displacement sensor 5 that detects a position of a floating body 2; a sensor frequency determination unit 31 for determining a sensor frequency F1 that is used for the displacement sensor 5 on the basis of the detected current I; and a control unit 33 for issuing a first warning when the sensor frequency F1 and a carrier frequency F2, F3 used for a magnetic bearing system 1 overlap on each other.SELECTED DRAWING: Figure 1

The present application relates to a circuit and method for detecting clock anomalies, a clock circuit, a chip, and a radar. The circuit for detecting clock anomalies includes: a first clock frequency determination unit configured to determine a first clock frequency of a received first clock signal; a reference quantity determination unit configured to determine a reference quantity corresponding to the first clock signal, where the reference quantity is determined based on a second clock signal and / or a time stamp; and a clock anomaly detection unit connected to the first clock frequency determination unit and the reference quantity determination unit respectively, and configured to perform anomaly detection on the first clock signal based on the first clock frequency and the reference quantity. The present application can improve the reliability of the clock signal, thereby enhancing the personal safety and property safety of users.

The invention provides a bearing fault identification method based on singular value decomposition. The method comprises the following steps: acquiring a discrete vibration signal of a bearing; a Hankel matrix of the vibration signals is constructed, the dimension of the matrix is smaller than < and is the length of the vibration signals, and the column number is determined based on the minimum characteristic frequency of typical components of the equipment; performing singular value decomposition on the matrix; selecting an effective row vector of the matrix by taking high periodicity, high cyclic stability and low complexity of the signal as targets, determining an effective singular value based on the effective row vector, and performing signal reconstruction based on the effective singular value; and carrying out spectrum analysis on the reconstructed signal and carrying out bearing fault identification according to a relation between a prominent frequency component in a spectrum and a bearing fault characteristic frequency. According to the bearing fault identification method, the features of the signals can be enhanced while noise reduction is carried out on the signals, and accurate judgment of bearing faults is facilitated.

The invention provides a frequency measurement method, device and equipment. The method comprises the following steps: determining the phase variation of a target baseband signal in a time window; the target baseband signal is converted from a radio frequency signal to be measured; determining the frequency of the target baseband signal according to the phase variation; and determining the frequency of a radio frequency signal corresponding to the baseband signal according to the frequency of the target baseband signal. According to the method provided by the embodiment of the invention, the frequency of the measured radio frequency signal can be efficiently and accurately calculated, the precision and resolution of frequency measurement are effectively improved, and the efficiency of frequency measurement is greatly improved.

This application discloses an AI testing method, apparatus, device, storage medium, and program product, relating to the field of AI testing technology. The method includes: constructing a multimodal feature map based on multiple dimensional features of each element on a test page; the dimensions include the Document Object Model (DOM) structure dimension, visual dimension, and interaction trajectory dimension; the multimodal feature map is used to represent the mapping relationship between elements and features, and the feature weight corresponding to each dimension of the feature map is determined based on the DOM update frequency of the test page; determining the target localization strategy corresponding to each element based on the feature weights in the multimodal feature map; determining the localization result of each element according to the target localization strategy; and executing AI testing based on the localization result and test instructions generated by the AI ​​model. The solution of this application, through multimodal element localization, can improve localization robustness and adapt to dynamic test pages.

The application relates to the technical field of coal quality sorting, and discloses a precision sorting and regulation method and system suitable for complex coal quality, which comprises the following steps: determining the component parameters of each component based on a component analysis model and coal quality parameters, comparing all the component parameters in a historical regulation database, determining the fan rotating speed of a blower based on the similarity of the component parameters when a calling strategy is determined, constructing a wind speed mapping model based on a sample data set and the historical regulation database when a compensation strategy is determined, determining whether the stability of the fan rotating speed is qualified based on wind speed fluctuation frequency, determining the fan rotating speed correlation result based on the valve opening and a correlation rule algorithm, determining the rotating speed regulation coefficient of the fan rotating speed according to the fan rotating speed correlation result, and adjusting the fan rotating speed according to the rotating speed regulation coefficient; and the reliability of sorting is ensured by determining the component parameters and judging the stability of the fan rotating speed.

The invention belongs to the technical field of medical treatment and automatic control, and particularly relates to an ultrasonic microneedle element sound field measurement method and equipment, in the method, a space coordinate system is established based on a hydrophone coordinate, the position and posture of a hydrophone are accurately controlled in combination with a displacement mechanism, the problem of interference of a microneedle piece on ultrasonic propagation is directly solved, and the accuracy of sound field data is ensured. The upper computer integrates the functions of frequency determination, distance calibration, coordinate system generation and path planning, drives the displacement mechanism to automatically traverse measurement points according to a preset sampling interval, thoroughly replaces manual point-by-point operation, and improves the efficiency. A complete closed loop is formed from resonance frequency calibration to sound field distribution generation, personal errors are eliminated, and reliable data support is provided for a targeted drug delivery technology.

The invention relates to the technical field of tool control, in particular to an ultrasonic power supply frequency locking method and device, electronic equipment and a storage medium. The method comprises the steps that the real-time temperature of a current transducer is obtained based on welding response, and the real-time temperature is compared with the adjacent historical temperature to determine a temperature difference value; and when the temperature value is greater than a preset threshold value, inputting the real-time temperature, the real-time resonant frequency, the real-time voltage data and the real-time current data into a prediction model which is trained to be convergent to obtain a predicted resonant frequency, determining the predicted resonant frequency as the initial scanning frequency, and carrying out frequency locking. According to the method, a possible resonant frequency is firstly predicted by adopting a recursive least square method algorithm in machine learning, and then frequency chasing is started by taking the predicted frequency as a reference, so that the frequency sweeping time of an intermediate non-resonant frequency is avoided, and the frequency locking time is greatly shortened; for different transducer systems, a software algorithm can automatically update parameters of a software model, and the universality of algorithm application is improved.

To provide a selection device, an estimation system, etc. that can appropriately select a center frequency for which a trained model should be obtained before collecting data from a real environment.SOLUTION: The selection device includes: signal generation means for generating signal data simulating an arrival signal based on parameters including at least a center frequency and arrival angle information; correlation matrix calculation means for calculating a correlation matrix based on the signal data; inference means for generating an evaluation spectrum based on a lower triangular matrix extracted from the correlation matrix using a trained model; performance evaluation means for evaluating the performance of the trained model based on an estimated arrival angle estimated based on the evaluation spectrum and a correct arrival angle of the arrival angle information; and next frequency determination means for determining a center frequency to be evaluated next based on a result of the performance evaluation. An estimation system according to the present disclosure includes the selection device and an estimation device for estimating the arrival direction of an arriving wave.SELECTED DRAWING: Figure 1

The invention discloses a method for determining perforation damping spring parameters based on pressure wave spectrum analysis. The method comprises the following steps: 1) acquiring pressure wave data during perforation of different reference oil and gas wells; 2) establishing a pressure wave database under different well condition parameters; 3) selecting pressure wave data corresponding to the reference well under approximately same well conditions; 4) obtaining a time-domain pressure curve according to the pressure wave data, and obtaining a frequency-domain pressure curve through spectral analysis; 5) processing the frequency domain pressure curve to obtain a key frequency; 6) determining the design reference frequency of the perforation damping spring according to the key frequency; (7) determining the inherent frequency of the perforation damping spring according to the optimal shock insulation frequency ratio; (8) according to the inherent frequency of the perforation damping spring, the function relation of the spring wire diameter, the spring intermediate diameter and the number of effective turns is obtained; and 9) determining the numerical values of the spring wire diameter, the spring pitch diameter and the number of effective turns according to the structural constraint. The method belongs to the technical field of oil-gas well oil pipe transmission perforation, parameters are reasonably determined, and the application effect is good.