313 results about "Frequency determination" patented technology

A broadband measurement method and apparatus for a power system, and a computer device, which relate to the technical field of broadband measurement. The method comprises: acquiring a target electrical signal; on the basis of a local mean decomposition algorithm, decomposing in a time domain the target electrical signal into a plurality of signal components having a single frequency; determining the instantaneous frequency of each signal component; on the basis of the instantaneous frequencies, determining a corresponding time-frequency transformation algorithm and a corresponding time-frequency transformation parameter; and on the basis of the corresponding time-frequency transformation parameter, using the corresponding time-frequency transformation algorithm to perform time-frequency transformation on each signal component, so as to obtain a broadband spectrum that comprises frequency-domain information corresponding to each signal component. The method is applicable to spectrum analysis performed on a voltage / current signal that includes a plurality of signal components, the calculation is quickly and precisely performed, the broadband measurement requirements of a new power system can be met, and a strong support is provided for constructing a wide-frequency-oscillation wide-area monitoring system for the power system.

The invention belongs to the technical field of data processing. The data security and privacy protection method comprises the following steps: determining an encryption algorithm of data according to the sensitivity and access frequency of the data; determining the authority of the user by using the behavior prediction model; determining an optimal desensitization method by using a context-aware desensitization technology; analyzing security threats and abnormal behaviors of the current data operation by using a predictive security audit model to obtain a precautionary measure method; obtaining backup time and frequency of the data by utilizing the sensitivity and the change frequency of the data; and processing the data according to the encryption algorithm of the data, the authority of the user, the optimal desensitization method, the precautionary measure method and the backup time and frequency of the data to obtain a data security and privacy protection method. By utilizing the method, the effects of encrypting the data in multiple aspects, dynamically adjusting the user permission and thoroughly desensitizing are achieved.

The invention relates to an intelligent archival repository RFID archive processing system, and relates to the technical field of archive data processing, and the system comprises a state generation module, a semantic clustering module, a personnel label clustering module, a frequency statistics module and an archiving configuration module. Wherein the state generation module is used for acquiring RFID tag position information and generating a file taking state; the semantic clustering module 12 is used for performing semantic clustering based on the archive content identification to form first-level classification; the personnel label clustering module 13 is used for re-clustering the primary classification result according to the archive personnel identifier to form secondary classification; the frequency statistics module 14 is used for counting the taking frequency of each file in the secondary classification result; and the archiving configuration module 15 is used for determining an optimal archiving position according to the characteristics and the access frequency of the archives to be stored. The archives are archived according to the multi-dimensional analysis of the archive content, the archive personnel and the archive taking frequency, the archive archiving reasonability is improved, and then the archive retrieval and management efficiency is improved.

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 discloses a non-intrusive permanent magnet synchronous servo motor bearing fault on-line diagnosis method and system, and the method comprises the steps: injecting a chirp current signal in a tuning stage, calculating a frequency response function through combining with a rotating speed feedback signal, and determining a resonant frequency according to the frequency response function; calculating a theoretical characteristic order according to the motor bearing size parameter; in a motor operation stage, collecting a motor rotating speed signal and determining a theoretical characteristic frequency according to the theoretical characteristic order; determining an optimal resonance demodulation frequency band according to the resonance frequency and the theoretical characteristic frequency, and performing band-pass filtering on the motor rotating speed signal according to the optimal resonance demodulation frequency band; an envelope signal of the filtered signal is calculated online through an orthogonal demodulation algorithm, the frequency spectrum of the envelope signal is obtained through FFT analysis, threshold comparison is conducted on the frequency spectrum of the envelope signal and the amplitude corresponding to the theoretical characteristic frequency, and fault diagnosis result judgment is completed. According to the invention, on-line diagnosis of the bearing fault of the permanent magnet synchronous servo motor under the condition of low-performance chip resources is realized.

The invention discloses an incremental encoder speed measurement method and device and a computer readable storage medium, and the method comprises the steps: obtaining the number of captured pulses and the time of capturing pulses at the current rotating speed calculation time, and obtaining the number of captured pulses and the time of capturing pulses at the last rotating speed calculation time; according to the number of captured pulses at the current rotating speed calculation moment and the number of captured pulses at the last rotating speed calculation moment, pulse number deviation is determined, and according to the capture pulse moment at the current rotating speed calculation moment and the capture pulse moment at the last rotating speed calculation moment, pulse time deviation is determined; acquiring a pulse number and a timer clock frequency corresponding to each circle; determining a first ratio of the pulse number deviation to the pulse number corresponding to each circle, and determining a second ratio of the pulse time deviation to the clock frequency of the timer; according to the product of the first ratio and the second ratio, the actual rotating speed of the motor is determined, and the speed measurement precision in the full speed range is improved.

The invention discloses an image content recognition system and method based on artificial intelligence, and relates to the technical field of data analysis, and the method comprises the steps: carrying out the recognition through collecting the identity and image information of a person, recording a failure reason, calculating the occurrence frequency of the failure reason, and determining a failure level; historical identification failure records are collected, the occurrence frequency of abnormal data is calculated, and target data are determined; setting a training period, dividing a day into a plurality of characteristic time periods, calculating failure cause frequency in each time period, and determining a target time period; counting the number of identification records in a target time period of a certain day, calculating a failure frequency and determining an optimization period; and calculating the real-time failure frequency in the optimization period. If so, reminding a worker; if yes, the optimization period is adjusted, and therefore the utilization efficiency of system resources is maximized while the recognition accuracy is improved.

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.

A method for processing a signal from a coherent lidar comprising a periodically frequency-modulated coherent source (L), the method includes the following steps: A decomposing each modulation period indexed j into a plurality of intervals indexed i, and determining, for each interval Iij, an elementary power spectral density DSP(i,j) of the beat signal over the interval, B determining an average power spectral density over j DSP(i), C determining a lower frequency bound of the average power density DSP(i) and an upper frequency bound, D determining a distance dk(i) and a velocity of the fluid vk(i) from the lower and upper bounds.

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 discloses an electric power system multi-source data alignment method and device, a medium and equipment, and the method comprises the steps: firstly, obtaining N pieces of time series data (N is greater than or equal to 2), and enabling the data to be from different data sources of an electric power system; then, calculating a window average value in each time sequence data by using a sliding window, and determining a sudden change starting point of each time sequence; then, aligning all time sequence data by taking the sudden change starting points as references; and finally, acquiring the sampling frequency of each piece of time sequence data, and determining and aligning other data based on the reference frequency by taking the data with the lowest sampling frequency as a reference. Through the method, the problem that the multi-source data of the power system is difficult to align can be effectively solved, the consistency of the data from different sources on the time axis is ensured, subsequent analysis and processing are facilitated, and the accuracy and efficiency of data processing are improved.

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 invention provides a moss growth-based virtual inertia and damping control method for a grid-forming fan, and the method comprises the steps: determining a frequency deviation value based on the power grid real-time frequency of a power grid system where the grid-forming fan is located and a preset frequency reference value, and determining a frequency change rate based on the power grid real-time frequency; inputting the frequency deviation value, the frequency change rate, a preset virtual inertia initial value and a virtual damping initial value into a network controller pre-constructed based on moss growth; determining a target damping coefficient, a target virtual rotational inertia coefficient and a target proportionality coefficient of a power tracking curve of the power grid system based on a network controller; based on the target proportionality coefficient, determining a first reference value of active power input of the grid-forming type fan and a second reference value of active power input of an energy storage system in the power grid system; and based on the first reference value, the second reference value, the target damping coefficient and the target virtual rotational inertia coefficient, the virtual inertia and damping of the net-forming type fan are controlled, and dynamic adjustment of the inertia and the damping coefficient is achieved.

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 discloses a security attribute fused data quality evaluation method and device, and the method comprises the following steps: obtaining corpus data, and carrying out the preprocessing of the corpus data, and obtaining a to-be-evaluated text; obtaining a preset reference text, and determining a text quality score according to the frequency that the to-be-evaluated text contains the keywords of the reference text; inputting the to-be-evaluated text into the trained target model, and outputting a text safety score through the target model based on the similarity between the text embedding vector of the to-be-evaluated text and the features in the built-in first quality feature space and the second quality feature space; according to the text quality score and the text safety score, performing weighted calculation to obtain a target score of the to-be-evaluated text, and evaluating the corpus data through the text quality score and the text safety score, so that the corpus data can be strictly screened, and potential safety hazard factors in the corpus data can be accurately identified; and the corpus data is ensured to have high quality and diversity.

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 discloses a large-scale target detection data sample generation method, particularly relates to the field of target detection, and is used for solving the problem of insufficient detection performance of rare category samples caused by data set long-tail distribution in the prior art. The method comprises the following steps: acquiring an initial image data set containing multi-category target object labels, calculating the occurrence frequency of each category of target objects, and determining the category of which the occurrence frequency is lower than a preset threshold value as a rare category; performing dynamic behavior and geometric complexity analysis on the image of the rare category target object, and judging whether the distinguishable degree of the target object and the background is abnormal or not; for the target object with the abnormal distinguishable degree, adjusting the pixel intensity through a contrast enhancement algorithm, and screening a background image conforming to the features of the target object based on a scene matching algorithm; and embedding the adjusted target object into the screened background image to generate a composite image, and adding the composite image into the initial data set to form an expanded image data set.

The invention relates to a low-frequency noise data processing method and device, electronic equipment and a vehicle, and relates to the technical field of data processing, and the method comprises the steps: firstly obtaining a target frequency corresponding to a to-be-determined frequency spectrum component; determining a Nyquist frequency corresponding to the target frequency; according to the Nyquist frequency, obtaining the time domain sampling number R required by the target frequency; selecting a target sequence corresponding to the first R sampling points in the displacement sequence, and performing butterfly recursion calculation of fast Fourier transform on the target sequence to obtain a result used for determining sound pressure level information corresponding to the frequency spectrum component, the displacement sequence is obtained by performing butterfly odd-even displacement of fast Fourier transform according to a time domain sequence corresponding to the low-frequency noise data. According to the technical scheme, for analysis and calculation of low-frequency noise, it can be guaranteed that the precision error is within the acceptable range, meanwhile, calculation redundancy is reduced, and calculation power is saved.

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 the technical field of data analysis, and discloses an entity industry data analysis method and system based on AI training, the system comprises a data acquisition unit, a data analysis unit and an information display unit, entity operation data is widely collected from multiple data sources, comprehensive multi-dimensional information is provided for enterprises, and the data analysis efficiency is improved. The user is helped to accurately know the own operation condition; meanwhile, business and standard time periods are divided to determine sales peak, valley and normal time periods, so that an enterprise can reasonably arrange staff scheduling and business time, the operation efficiency is improved, and the cost is reduced; the commodities are classified according to the sales evaluation value, the inventory management is optimized, the purchase and production plans are adjusted, and the operation risk is reduced; through combined sales analysis, a set is generated and the frequency is calculated, a high-potential commodity combination is determined, the sales volume of unsalable commodities is improved, the sales of the unsalable commodities is driven, and the overall sales volume and the customer satisfaction are improved. And results are displayed to sales personnel, so that the sales personnel can perform targeted popularization and service, and the working efficiency and performance are improved.

The present application relates to the technical field of data processing, and particularly relates to a method and apparatus for processing noise data, and an electronic device and a vehicle. The method comprises: firstly acquiring a target frequency corresponding to a spectrum component to be determined; determining a Nyquist frequency corresponding to the target frequency, wherein the target frequency is lower than a preset frequency threshold value; then, according to the Nyquist frequency, determining a time-domain sampling number R required by the target frequency; and selecting, from among a displacement sequence, a target sequence corresponding to the first R sampling points, and performing butterfly recursive computation of a fast Fourier transform on the target sequence, wherein an obtained result is used for determining sound pressure level information corresponding to the spectrum component, and the displacement sequence is obtained by means of performing butterfly odd-even displacement of a fast Fourier transform according to a time-domain sequence corresponding to the spectrum component. By means of applying the technical solution of the present application, for the analysis and computation of low-frequency noise, the computation redundancy can be reduced, and the computing power is saved on while ensuring that a precision error is within an acceptable range.

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 invention provides a broadcaster information recommendation method and device, intelligent equipment and a storage medium, and belongs to the technical field of information recommendation, and the method comprises the steps: determining a first broadcaster recommendation type based on user behavior data; the user behavior data comprises the broadcasting behavior data. And determining a target frequency based on the global podcaster data and the podcaster behavior data, and determining a second podcaster recommendation type based on the target frequency. And determining a podcaster recommendation list based on the first podcaster recommendation type and the second podcaster recommendation type. According to the broadcast information recommendation method and device, the intelligent equipment and the storage medium provided by the invention, the problem that a traditional recommendation mode is difficult to accurately match personalized demands can be solved.

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.