83 results about "Data averaging" patented technology

The invention relates to the technical field of electronic digital data processing, in particular to an operation state monitoring method and system for injection molding equipment, and the method comprises the steps: collecting a multi-dimensional operation parameter time sequence of the injection molding equipment at different moments, collecting parameters of the same dimension into data sets, and constructing an isolated tree based on each data set; after sorting tree nodes of the isolated tree according to a data average value, distributing a tree node sequence number for each item of data; the combination of the dimension parameters at the same moment is regarded as a data point, the distribution relation of any two data points on the isolated tree is compared, the same-group degree of the data points is calculated, and the data points with the same-group degree higher than a set threshold value are classified into the same group; calculating the abnormal degree of the data points; and if the abnormal degree exceeds a set threshold value, determining that the data point is an abnormal data point and giving an alarm at the same time. The problem that the accuracy and reliability of state detection are not high is solved.

The invention discloses a bolt pre-tightening force testing method based on an electromagnetic ultrasonic pre-tightening force measuring system, and the method comprises the steps: collecting the waveform data of transverse and longitudinal waves generated by an electromagnetic ultrasonic probe, and only processing the current frame echo data and historical accumulated data each time through a data averaging algorithm. The storage space only needs to store the historical accumulated data received by the electromagnetic ultrasonic probe once, so that the processing speed and the signal-to-noise ratio of the data are improved; and automatically identifying and calculating the wave peak sound time enveloped by the transverse and longitudinal wave echoes of the bolt through a peak value algorithm, fitting to obtain a calibration curve corresponding to the bolt of the model specification through the ratio of the transverse and longitudinal wave sound time to the bolt pre-tightening force corresponding to the time period, and measuring the pre-tightening force of other bolts of the same model specification by using the calibration curve. The method is easy and convenient to operate, effective transverse waves and longitudinal waves can be excited at the same time, and measurement precision and accuracy are high.

The invention relates to the technical field of energy storage power supply control, in particular to an energy storage power supply control method and system and an energy storage power supply, and the method comprises the steps: calculating the complexity of all power grid load data in each peak load interval and the average level difference of each power grid load data compared with all other power grid load data; determining the response capability of the energy storage power supply; determining charging correlation factors of the energy storage power supply by analyzing correlation of variation trends between all power grid load data and all charging electric quantity data in each valley load interval and extreme distribution conditions of all power grid load data, constructing control hysteresis of the energy storage power supply in each time period in combination with the response capability, and determining the energy storage power supply according to the control hysteresis of the energy storage power supply in each time period. And controlling the energy storage power supply after the current moment. The invention aims to improve the absorption capability of the energy storage power supply for new energy power resources and the response timeliness of the energy storage power supply.

The invention relates to a C-V2X-based wireless resource allocation method, which comprises the following steps of: initializing after a triggering resource reselection condition is met, so that a set S1 contains all candidate resources of resource reselection, and sets S2 and S3 are empty sets; excluding candidate resources reserved for other services in the set S1 by using historical data SCI information of the candidate resources to obtain a first resource; in the first resources, excluding candidate resources of which the historical data average RSRP of the resources is higher than a threshold Th1 to obtain second resources; the threshold value Th1 is adjusted step by step, and after the proportion of the screened second resources in the total candidate resources meets a set value, the second resources are placed in a set S2; and the candidate resources in the set S2 are divided into periodic idle resources and non-periodic resources, and the periodic idle resources and the non-periodic resources are combined and placed in the set S3 to serve as resources for transmitting data packets after candidate resource screening is carried out on the periodic idle resources and the non-periodic resources. According to the invention, the probability of resource misjudgment and resource conflict is effectively reduced, the communication reliability is improved, and the wireless resource use efficiency is improved.

The invention provides a temperature detection method, a heating power control method and semiconductor equipment. The temperature detection method comprises the following steps: acquiring a current temperature measurement value and a current rotation position of a reference support fork, and determining a current light path included angle according to the current rotation position and the number of support forks; calculating a temperature correction coefficient according to the current light path included angle, the current temperature measurement value and the current rotation position; and calculating a current temperature measurement average value according to the N historical temperature measurement values and the current temperature measurement value, calculating a current temperature measurement correction value according to the temperature correction coefficient and the current temperature measurement average value, and taking the current temperature measurement correction value as a current temperature detection value output by the temperature measurement device. According to the method, in the temperature measurement data processing process, the light path included angle and the rotation position are introduced, compared with an existing data average processing mode, the temperature measurement data stability is improved, accurate control over the real-time temperature can be achieved, meanwhile, temperature overshoot is effectively restrained, and therefore the temperature control stability of the heat treatment cavity is improved.

The embodiment of the invention provides a fan abnormal temperature monitoring method and device, service equipment and a storage medium. The method comprises the following steps: receiving operation data of a plurality of fans sent by data acquisition equipment; sliding and traversing each group of operation data of each fan in the evaluation period according to preset time window parameters; in the traversing process, if it is judged that all the draught fans are in the normal power generation state, the average value of the operation data of all the draught fans in the current preset time window parameters is obtained, so that multiple average values corresponding to each set of operation data of all the draught fans in the evaluation period are obtained; according to the multiple average values corresponding to each set of operation data and different operation powers, the operation data average values of all the draught fans under the different operation powers are determined; and inputting the average value of the operation data of each fan in the plurality of fans under different operation powers into a pre-constructed clustering analysis model to output abnormal temperature data. The method is used for achieving the effect of improving the abnormal temperature identification precision.

Systems and methods are disclosed for assessing visual function of a user or patient. The systems and methods may contain steps, including: extracting data from an electrode site of a sensor; obtaining an average of the data across successive video presentations; applying a fast-Fourier transform to the average; determining a signal-to-noise ratio (SNR) of results of the fast-Fourier transform at tagged frequencies; determining a steady-state visual evoked potential (SSVEP) amplitude based on the SNR of the results of the fast-Fourier transform at the tagged frequencies; and determining a ratio of lower to higher spatial frequency SSVEPs to assess the vision function of the user.

The invention relates to the technical field of network communication, and provides a real-time data pushing method for binary format transmission data, and the method comprises the steps: S1, judging whether to start server pushing or not through a pushing decision engine; s2, when the server receives sensor data, converting the structured data into HTTP / 2 frames with priority marks through a binary encoder; s3, scheduling an HTTP / 2 frame transmission sequence through a flow controller according to a current network state, wherein the current network state at least comprises a data volume which can be currently received by the client; and S4, after receiving the HTTP / 2 frame, the client sends a preset confirmation frame to confirm receiving according to the HTTP / 2 frame serial number, and if the server does not receive the preset confirmation frame within the preset timeout time, the server marks that the HTTP / 2 frame is lost and re-uploads the HTTP / 2 frame marked as lost. Compared with WebSocket, the method has the advantages that the protocol overhead is reduced, the transmission efficiency is improved, the average delay of key data is reduced, and the method is compatible with the existing HTTP / 2 client.

The invention provides a novel power load regulation and control method based on multi-split air conditioners, and relates to the technical field of computers. The method is applied to a server in a power load regulation and control system. Specifically, according to the method, a load resource data prediction algorithm is adopted, and average load resource monitoring data and average marine environment monitoring data of a target area within a first preset time period before the current moment are uploaded by a plurality of sensing layer devices; and taking the average marine environment prediction data in a second preset time period after the current moment as input, and taking the load resource prediction data in the second preset time period as output. In this way, efficient load resource allocation of the electric equipment in the target area is achieved, and the speed and accuracy of load prediction are remarkably improved.

Embodiments of the present application disclose a resource selection method, device, equipment and storage medium. The method is applied to a V2X terminal, and comprises: receiving data to be processed issued by an upper layer application; if a current time meets a search condition, determining whether the data to be processed in a search period before the current time meets a Poisson distribution; if the data meets the Poisson distribution, taking a data average receiving time corresponding to the Poisson distribution as a resource selection period, and performing periodic resource selection. The technical scheme of the embodiments of the present application can effectively select periodic resources, reduce the selection frequency of one-time resources, and improve the utilization efficiency of resources in the case that the time interval of data packets of the upper layer application is constantly changed.

The application relates to the technical field of data processing, and discloses an excel data batch processing method and related equipment.The method comprises the following steps: obtaining excel batch data to be processed, analyzing the excel batch data to obtain excel analysis data, and performing data volume statistics on the excel analysis data to obtain an excel data volume; a plurality of threads are created, and a queue corresponding to each thread is created according to the thread; the excel analysis data is equally divided according to the excel data volume to obtain a plurality of excel sub-analysis data, and the excel sub-analysis data is evenly distributed to the normal queue for processing; and the method can improve the document processing efficiency.

The invention relates to a city development talent demand prediction method and device, and a storage medium. The method comprises the following steps: selecting city research time nodes, input elements and output elements; collecting corresponding input element data and output element data of the city at the research time node; based on the input element data and the output element data, adopting a Cobb-Douglas production function to determine the output elasticity of each input element of the city; determining marginal output data and average output data of each input element according to the output elasticity; drawing a total output curve, an element marginal output curve and an average output curve of the city according to the total output data, the marginal output data and the average output data of each research time node of the city; according to the curve position relation, the urban talent development stage is determined, and a prediction result of the talent demand is generated. According to the method, the effects of capital, labor force and technical progress factors in the production process are described from the macroscopic perspective, and the influence of the talent number and quality on urban development is quantified.

The invention relates to the technical field of flood prevention and drainage, and discloses a printing and dyeing drainage state analysis method and system based on sensing data, and the method comprises the steps: obtaining drainage data and generating a curve through deploying sensors which are distributed at equal intervals in groups in a printing and dyeing drainage pipeline; matching the upstream curve by taking the middle / downstream data as a template, and calculating a time difference discrete value to identify sensing abnormality; and according to the upstream data average value, matching an execution instruction, performing hierarchical control on single drainage treatment equipment, multiple drainage treatment equipment in turn or all drainage treatment equipment is started, and performing corresponding pop-up window prompting, early warning or alarming. Meanwhile, environmental interference is corrected through multi-sensor data fusion, database parameters are dynamically optimized to adapt to the production cycle, pipeline undercurrent is recognized in combination with detection particles, and equipment parameters are monitored to early warn faults. According to the method, the printing and dyeing drainage monitoring accuracy and the equipment scheduling intelligence are improved, and the abnormity early warning capability is enhanced.

A method for determining a data average wind speed value point in the cross section of the air duct. The method includes using, by a controlling, monitoring, and analysis unit A, the air volume flowmeter set in a big data air volume measurement dynamic sensing device in the cross section of the air duct, uniformly distributing preset points in the cross section of the air duct in all-around, measuring the air volume under a monitored load value for each preset point, and calculating an data average value under the monitored load value. The method includes accumulating the wind speed values of all preset points, and dividing by the number of the preset points; and amplifying a data average wind speed error value of a set air duct, until at least one preset point falls within a range of the data average wind speed error value of the set air duct.

The invention discloses an intelligent power supply control system for industrial equipment, and relates to the technical field of intelligent power supply control systems. The system comprises an industrial equipment power supply data acquisition module, an industrial equipment power supply data processing module and an industrial equipment power supply data analysis module. The industrial equipment power supply data acquisition module is used for respectively acquiring lightning echo signals, atmospheric electric field values and real-time load current data through a radar, an atmospheric electric field instrument and a Hall sensor; the industrial equipment power supply data processing module is used for processing the acquired echo signal, the atmospheric electric field value and the load current data and then carrying out related comparison; and the industrial equipment power supply data analysis module is used for respectively analyzing the atmospheric electric field data, the GIS lightning image, the IS lightning safety image grid data average value and the current overload threshold value to obtain the prediction data of the lightning activity within 24 hours, the space distribution of the lightning activity, the relationship between the lightning activity and other geographic elements, the intensity change of the lightning activity and the working condition of the current at each moment.

The present invention discloses a cache prefetching method for shortening the average response time of video data in a named data network, comprising: calculating the association relationship of video data by classifying the video data in the network, wherein the association of continuous video is calculated using the position of the video data, and the association of ordinary video data is calculated using the Apriori algorithm, generating a video data association relationship table, and recording the association relationship table in each cache node; a cache prefetching strategy, wherein when a video data request occurs, the name of the video data is obtained, and based on the type of the video data, the video data associated with the video data is found, and multiple prefetched video data are simultaneously sent to the intermediate node for pre-caching. The pre-caching strategy, wherein the CS of the cache node is divided into two levels, namely, a main cache and a sub-cache, wherein the data requested by the consumer is cached in the main cache and the pre-fetched data is cached in the sub-cache.

The invention discloses a land increment tax data processing method and system, relates to the technical field of data processing, and solves the problem of few application scenes of an existing land increment tax data processing method, and the method comprises the steps: S1, obtaining land circulation stage division data, an average land increment coefficient and an average land increment coefficient, the method comprises the steps of S1, obtaining regional land value-added tax data, S2, carrying out environment analysis on a target land region according to the regional land value-added tax data to obtain a regional popularity change coefficient, and S3, carrying out economic development state evaluation on the target land region according to the regional popularity change coefficient and the regional land value-added tax data. The economic development state of the target land region is evaluated according to the regional popularity change coefficient and the regional land value-added tax data, so that the utilization value of the tax data is improved.

The application belongs to the technical field of transportation, and particularly relates to a traffic prediction method based on multi-graph gated convolution and Conv-LSTM. The DTWN similarity value filling module is used to calculate the similarity between time series, and the average value of K data with high similarity is taken to fill in the missing data, so as to ensure the integrity of the traffic data. The traffic data is decomposed into approximate coefficients and detail coefficients through DWT. The approximate coefficients reflect the long-term trend of traffic flow, and the detail coefficients contain short-term fluctuation information. Different models are combined to process the data obtained through DWT. The detail coefficients are processed through the multi-graph gated dilated convolution MGDCN to capture the short-term fluctuation, and the approximate coefficients are processed through the Conv-LSTM to capture the long-term trend. Compared with the existing traffic prediction model, the application can fully fill in the missing data, capture the short-term fluctuation and long-term trend of traffic, effectively reduce the error in traffic prediction, and improve the accuracy of traffic prediction.

The invention discloses a data deletion method, device and equipment for dynamically adjusting single-batch deletion quantity. Comprising the steps of averagely dividing to-be-deleted data in a data table into M1 batches; in the process of deleting the to-be-deleted data in batches, after N batches of to-be-deleted data are deleted every time, the single-batch deletion amount is updated based on the current CPU usage rate and the current memory usage rate of the server, batches of the remaining to-be-deleted data are divided again based on the latest single-batch deletion amount, and batch deletion operation is executed. The data to be deleted are deleted completely; specifically, based on the maximum index value in the current CPU usage rate and the current memory usage rate, a pressure state interval corresponding to the server is determined, and a pressure adjustment coefficient is determined based on an interval adjustment coefficient associated with the pressure state interval; and multiplying the pressure adjustment coefficient by the single-batch deletion quantity of the latest deletion operation to obtain the latest single-batch deletion quantity.

Disclosed is a method of optimizing a weighting for parameter of interest data. The method comprises obtaining parameter of interest data and reference data relating to a lithographic process, optimizing the weighting such that application of the weighting to said parameter of interest data improves performance of said lithographic process in terms of the reference parameter; and constraining the optimization so as to penalize changes in an average of reference data.

The present invention relates to the field of three-dimensional scanning technology, and particularly to a method for determining the three-dimensional scanning distance and range under given precision conditions. Through systematic calibration tests and detailed data analysis, the precision of the three-dimensional scanner within a specified range at different distances is determined, reliable scanning parameter selection is provided, and it is widely applied in fields such as building surveying, industrial inspection, and cultural heritage protection. The present invention avoids the subjectivity and blindness of scanning parameter selection through a scientific parameter selection method, and at the same time improves the working efficiency of scanning operations. Multiple tests and data averaging reduce accidental errors, provide comprehensive data, clarify the influencing factors and laws of scanning precision, optimize the scanning process, improve the efficiency and the accuracy of the results, and solve the problem that limits the precision reliability of existing three-dimensional scanning systems in practical applications.

This invention provides an airflow measurement and correction system for non-uniform wind field ducts, comprising an airflow measurement system based on big data analysis and an airflow measurement system based on the average wind speed value of the data points, with airflow meters set at these locations. By setting up the airflow measurement system based on big data analysis and the airflow measurement system based on the average wind speed value of the data points in different cross-sections of the non-uniform wind field duct, the airflow velocity values ​​Fdps and Fpps are measured simultaneously. If the difference between Fdps and Fpps is large, the airflow measurement value is taken as Fdps, or the location of the airflow meter at the average wind speed value point is manually or automatically readjusted. The two systems complement each other and verify each other, accurately and reliably solving the problem of inaccurate and unreliable measurement of duct airflow by the geometric mean wind speed value in existing airflow measurement devices.

Disclosed is a method of optimizing a weighting for parameter of interest data. The method comprises obtaining parameter of interest data and reference data relating to a lithographic process, optimizing the weighting such that application of the weighting to said parameter of interest data improves performance of said lithographic process in terms of the reference parameter; and constraining the optimization so as to penalize changes in an average of reference data.

The invention belongs to the field of GPU multi-card interconnection communication, and relates to a full-exchange GPU communication method and system. According to the method, the data stored in each GPU is averagely divided into N blocks, and each block of data corresponds to a specific data block needing to be sent to the target GPU; constructing a data symmetric matrix, and determining a total communication round according to the total number N of the GPUs; in each round of communication, two-way data transmission is carried out between the two GPUs based on a pairing rule of a symmetric matrix; and through multi-round iteration, complete exchange transmission of all data blocks is completed, so that each GPU obtains a complete data set from all GPUs. According to the method, a connection topology scheme of the GPUs does not need to be changed at all, the symmetric matrix of the GPUs only needs to be generated according to the number of the GPUs, and the condition that the GPUs communicate with other GPUs at the same time is reduced under the condition that the data transmission quantity is not increased, so that the congestion possibility of the GPUs is reduced, and the communication performance is improved.

The invention discloses a magnetic circular dichroism spectrum and magnetic rotation dispersion simultaneous measurement method. Substituting test data of a magnetic circular dichroism spectrum and magnetic rotation dispersion simultaneous measurement device based on a time sequence polarization measurement method into a spectrograph CCD (Charge Coupled Device) receiving light relative intensity principle formula, establishing an equation set, and solving a normalized Stokes parameter average value of sample transmission light; and obtaining a test result according to the relationship between the magnetic circular dichroism and magnetic circular birefringence quantization parameters and the Stokes parameter. According to the test method disclosed by the invention, test results of two characteristics of the magnetic circular dichroism spectrum and the magnetic rotation dispersion of the material can be obtained in one test; the test principle is direct, the test method is simple, rapid and effective, the required device is relatively simple, the actual wave plate retardation function and the spectrometer polarization effect are considered, and a large amount of data is averaged; and the test result is idealized and high in accuracy. The test method is beneficial to integration of related test functions of the composite equipment, and is beneficial to popularization in the related scientific research and test technical field.

The application discloses a kind of task data processing method and system, first result data and its type are obtained after upstream node processing task data ends, center node sets corresponding type label for downstream node after obtaining first result data and its type, and the type label of downstream node is synchronized to upstream node, so upstream node can send specific type first result data to corresponding downstream node. Meanwhile, upstream node is sequentially sent first result data to downstream node, so downstream node can only process specific type data related to task. Compared with the method that upstream node needs to divide data to downstream node in prior art, in the present application, data is not needed to be evenly divided to each downstream node for processing each time, thereby reducing the number of network interactions and network IO occupation of upstream and downstream, and also reducing the amount of data received by center node from downstream node. In this way, the probability of network failure during task processing is reduced.

The invention relates to the technical field of solder paste management, and provides a solder paste multi-dimensional data fusion management method and system, and the method comprises the steps: creating a quality label corresponding to each batch of solder paste; continuously receiving temperature and humidity data from the temperature and humidity sensors in all the areas in the refrigerated cabinet, and preprocessing the temperature and humidity data to correct the temperature and humidity data which are higher than the data average value of all the areas but do not reach a preset abnormal alarm threshold value; calculating and updating a quality label according to the preprocessed temperature and humidity data, solder paste material characteristics and storage environment parameters; evaluating the sensitivity of each production task to the solder paste quality in the production process to obtain a sensitivity level; according to the sensitivity level and the updated accumulative microstress damage value, the solder paste batch is dispatched; and according to the updated accumulative microstress damage value, issuing a process adjustment suggestion to production equipment. The method has the effect of improving the management precision and efficiency of the full life cycle of the solder paste.

The invention belongs to the technical field of SoC systems, and particularly discloses an evaluation method for SoC system optimization and a storage medium. According to the invention, a delay statistics module is constructed by hardware description and verification language, the delay statistics module is mounted on the IP and the subsystem in the SoC system, and then all the IPs and all the subsystems in the SOC system are sequentially judged and optimized according to the counted IP read / write data average delay and subsystem read / write data average delay. The method provided by the invention not only can provide quantifiable reference basis for optimization of the SoC system, but also can sequentially judge and optimize the IP and the subsystem, and can avoid the situation that the local IP or the local subsystem is optimal in the SOC system. In addition, the method provided by the invention is simple and easy to use, and can be directly mounted on the IP in an instantiation mode without increasing extra workload and project time.

The invention discloses a bolt preload test method based on an electromagnetic ultrasonic preload measurement system. The waveform data of the transverse and longitudinal waves generated by the electromagnetic ultrasonic probe is collected, and through a data averaging algorithm, only the current frame echo data and the historical accumulated data need to be processed each time, so that the storage space only needs to store the historical accumulated data received by the electromagnetic ultrasonic probe once, thereby improving the data processing speed and signal-to-noise ratio; then the peak value algorithm is used to automatically identify and calculate the wave peak sound time of the transverse and longitudinal wave echo envelope of the bolt, and the bolt preload corresponding to the time period is obtained by fitting the transverse and longitudinal wave sound time ratio, and the calibration curve corresponding to the bolt of this model and specification is obtained, and the calibration curve is used to realize the preload measurement of other bolts of the same model and specification. The invention is easy to operate, can simultaneously excite effective transverse waves and longitudinal waves, and has high measurement precision and accuracy.

The present invention relates to the technical field of electronic digital data processing, and particularly relates to a method and system for monitoring the operating state of an injection molding device, including: collecting the multi-dimensional operating parameter time series of the injection molding device at different times, aggregating the parameters of the same dimension into a data set, and constructing an isolation tree based on each data set; after sorting the tree nodes of the isolation tree according to the data average value, assigning a tree node serial number to each item of data; regarding the combination of parameters of each dimension at the same time as a data point, calculating their degree of being in the same group by comparing the distribution relationship of any two data points on the isolation tree, and classifying the data points with a degree of being in the same group higher than a set threshold into the same group; calculating the degree of abnormality of the data points; if the degree of abnormality exceeds the set threshold, determining it as an abnormal data point and simultaneously sending out an alarm. The present invention solves the problem of low accuracy and reliability of state detection.