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30 results about "Trend extraction" patented technology
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Systems and methods for trend extraction and analysis of dynamic data
The invention is directed generally to providing methods and systems for trend extraction and analysis. Embodiments include methods and systems for trend extraction and analysis of information extracted from dynamically changing data included in computer systems and / or networks. Various exemplary embodiments are provided that may generate characteristic indicators for trend(s) and / or distribution(s) for one or more data sources by use of, for example, temporal indicators derived through analysis of the difference in contribution separate portions of the data to the whole data set being considered, contribution of individual sources, and / or the interaction of the separate portions of the data with one another. Some exemplary approaches may include the use of singular value decomposition (SVD) and higher-order singular value decomposition (HOSVD) data extraction and analysis techniques. One use of these techniques is in the analysis of the dynamic data contained in Weblogs and the blogosphere.
Owner:NEC LAB AMERICA
Method for two time-scales video stream transmission control
InactiveUS20130263200A1Stable and high qualityEfficient use ofError preventionTransmission systemsVideo transmissionExponential smoothing
A method for two time-scales video stream transmission control is proposed, which mainly includes the following three steps. Firstly, a model-based long time-scale bandwidth trend extraction step is proposed to calculate a current bandwidth through a Transmission Control Protocol (TCP) throughput model, and predict a trend of network bandwidth by using an Exponential Smooth Model (ESM) according to the calculated current bandwidth. Secondly, a short time-scale bandwidth fluctuation detection step is proposed to divide a network status into three categories and according to different network statuses, additively increase or multiplicatively decrease the estimated bandwidth. Thirdly, a target bit rate adjustment step based on two asymmetrical thresholds is proposed to set an up-threshold and a down-threshold of bandwidth to avoid frequently adjusting a target bit rate of an encoder. The method can satisfy the requirements of TCP-friendliness, real-time, and smoothness for the video transmission.
Owner:BEIHANG UNIV
Turnout fault diagnosis method based on qualitative trend analysis
ActiveCN107451004ALow running costReduce maintenance costsFault responseComplex mathematical operationsAlgorithmDiagnosis methods
The invention discloses a turnout fault diagnosis method based on qualitative trend analysis. According to the method, first, Gaussian filtering and interval half trend extraction are performed on typical current running signals in the five states of turnout normality, unlocking difficulty, step conversion resistance fault, sawtooth conversion resistance fault and locking difficulty fault, fault trend rules are summarized, and a fault diagnosis knowledge base is established; second, Gaussian filtering and interval half trend extraction are performed on a to-be-diagnosed current running signal, obtained fault trends are matched with the fault trend rules in the fault diagnosis knowledge base, and corresponding matching degrees are obtained; if all the matching degrees are smaller than 0.5, fault reasons are determined through manual analysis; if not all the matching degrees are smaller than 0.5, the fault trend with the maximum matching degree is the turnout state; and finally a fault diagnosis result is output. The method is low in cost, simple in structure and convenient to operate, and the diagnosis result has high credibility.
Owner:NANJING UNIV OF SCI & TECH
Sea level change nonlinear trend extraction method
ActiveCN110175541AFully reflect the changing natureMaintain stabilityCharacter and pattern recognitionSatellite radio beaconingDecompositionPeak value
The invention relates to a sea level change nonlinear trend extraction method, which comprises the following steps of decomposing a sea level change time sequence by utilizing an empirical mode decomposition method to obtain an intrinsic mode function and a trend term with different frequencies; eliminating a low-frequency false component by using a modal function method, and marking and eliminating a high-frequency noise component by using a frequency divergence method; sequentially carrying out frequency spectrum analysis by adopting a Fourier method to obtain frequencies corresponding to the peak values in each component frequency spectrogram, removing the invalid frequencies according to a Nyquist theorem, and converting the frequencies into periods; obtaining all possible embedded calculation windows, through the singular spectrum analysis, taking the trend term of empirical mode decomposition as a reference, and selecting the trend term with the minimum difference as the final nonlinear trend of the sea level change. According to the method, the automatic selection of the optimal window and the automatic extraction of the optimal sea level change trend can be realized, the adaptability is good, the efficiency is high, the trend extraction is stable, and the influence of the time sequence length is small.
Owner:WUHAN UNIV
Equipment performance degradation trend extraction and prediction method
ActiveCN109992895ACalculation speedHigh precisionDesign optimisation/simulationSpecial data processing applicationsTrend predictionComputer science
The invention relates to an equipment performance degradation trend extraction and prediction method. The method comprises the following steps: (1) establishing a hydroelectric generating set standardhealth model which comprehensively considers active power and a working head coupling effect and is based on inverse distance weighting, and obtaining a performance degradation time sequence of a current hydroelectric generating set according to acquired real-time online data of the hydroelectric generating set; (2) decomposing the performance degradation time sequence of the hydroelectric generating set into a sum of a plurality of stable PRC time sequences and a trend component by utilizing ITD; (3) performing complexity characteristic identification on all the obtained component time sequences, and reconstructing the components according to a preset complexity characteristic threshold to obtain a performance degradation trend; and (4) evaluating, judging and predicting the performanceof the hydroelectric generating set equipment according to the obtained performance degradation trend, and finding out equipment abnormity in time. The method can be widely applied to the field of hydroelectric generating set equipment performance degradation trend prediction.
Owner:CHINA INST OF WATER RESOURCES & HYDROPOWER RES +1
Self-adaptive on-line monitoring data trend extraction method
ActiveCN103617356AImprove computing powerThere is no phenomenon of "over-screening"Special data processing applicationsDecompositionMorphological filter
The invention relates to a self-adaptive on-line monitoring data trend extraction method. According to the method, a combined morphological filter method and an empirical mode decomposition method are combined, firstly, a self-adaptive morphological filter structural element is built dynamically, and filtering is performed by the adoption of the morphological filter structural element so as to perform empirical mode decomposition; secondly, a trend term is built according to the characteristics of processed data; finally, trend pre-alarm is performed according to the trend term. The self-adaptive on-line monitoring data trend extraction method is high in operation performance, high in adaptability and good in use effect.
Owner:STATE GRID CORP OF CHINA +2
Time sequence trend extraction and prediction method based on compressed sensing
PendingCN112561161AAvoid potential problemsEasy extractionForecastingOffice automationCompressed sensingEuclidean distance
The invention discloses a time sequence trend extraction and prediction method based on compressed sensing, and belongs to the field of time sequence prediction methods. According to the method, random sub-sampling is carried out on an original time sequence to obtain an observation vector, and then trend extraction is carried out on the original time sequence through multiple times of reconstruction under the condition that the sparsity of a reconstructed signal is determined. An optimal trend sequence is found in the plurality of reconstruction trends by utilizing a similarity evaluation index based on the Euclidean distance sequence, and future trend development of the optimal trend is predicted by using a support vector regression prediction method. The trend information of the original time sequence can be well extracted only by utilizing the observation vector of random sub-sampling of the original time sequence, and the invention has a certain compression ratio and is more suitable for being used under the condition of big data mining processing. The sequence trend information is predicted, so that the problems of long-term prediction, noise interference and the like of thetime sequence trend can be effectively solved, and the result is more scientific and effective.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Thermal power generating unit primary frequency modulation index calculation method and system based on trend extraction
The invention provides a thermal power generating unit primary frequency modulation index calculation method and a thermal power generating unit primary frequency modulation index calculation system based on trend extraction. The method comprises the steps: searching the actual power and power grid frequency historical data of a thermal power generating unit according to the characteristic quantized value of a thermal power generating unit primary frequency modulation data segment, and obtaining the thermal power generating unit primary frequency modulation data segment; trend extraction is carried out on the obtained primary frequency modulation data segment of the thermal power generating unit; on the basis of the trend of each sub-data segment, determining the sub-data segment of whichthe trend change direction is opposite to the frequency change direction and the amplitude change is maximum as a primary frequency modulation action segment; and on the basis of the amplitude variation of the primary frequency modulation action section and the sample timestamp, obtaining parameter values required by calculation of the primary frequency modulation performance index of the thermalpower generating unit, and calculating the primary frequency modulation performance index of the thermal power generating unit. The method can effectively overcome the problems of a current thermal power generating unit primary frequency modulation performance index calculation method, and is of great significance in promoting the primary frequency modulation performance assessment of the thermalpower generating unit by the power grid, improving the stable operation level of the power grid and large-scale new energy consumption.
Owner:SHANDONG UNIV OF SCI & TECH
Mobile high-definition video intelligent bidirectional detection bandwidth control system
PendingCN112911650AImprove experiencePracticalNetwork traffic/resource managementSelective content distributionPacket lossVideo quality
According to the mobile high-definition video intelligent bidirectional detection bandwidth control method provided by the invention, a target end frame-level time delay trend extraction method and an extended RTP / RTCP driven source end rapid adaptive method are fused, so that the accuracy of the target end frame-level time delay trend extraction method is reserved; according to the method, the coding rate can fully use the available video bandwidth of the link to achieve the best subjective effect, meanwhile, the characteristic of high speed of the RTP / RTCP is fused, the packet loss phenomenon before congestion is detected due to the fact that the link cache of mobile high-definition video communication is too small is avoided, the experience of the mobile high-definition video is improved. A video bandwidth control architecture is provided on the basis, so that the video bandwidth control architecture has a better video effect for a fluctuating mobile network, is high in feasibility in practical application, is simple, efficient and high in practicability, serves as the most important link for guaranteeing the quality of a mobile high-definition video, and plays an extremely important role in mobile high-definition video communication.
Owner:高小翎
Trend automatic extraction method based on data block
The invention aims to provide a trend automatic extraction method based on a data block. The method comprises the following steps: firstly, collecting axle temperature data of a certain train as original data, and then drawing an original data curve; searching for an optimal segmentation value of the original data, extracting a data envelope center line, and searching for a local extreme point ofthe data envelope center line; and finally, dividing the data into data blocks according to the obtained local extreme points, and performing trend extraction analysis in each data block to provide atheoretical basis for further predicting axle temperature change, judging train faults and the like. The method solves the problems that in the prior art, the trend is extracted after data processingmethods such as filtering and smoothing are adopted for the collected data, the processed data result directly influences the trend result, the data smoothness degree is difficult to determine, and data features are lost during excessive smoothing.
Owner:上海金润联汇数字科技有限公司
Bearing fault early warning method and device
ActiveCN109829245AAvoid failureMachine bearings testingWind energy generationState parameterIndustrial engineering
The invention provides a bearing fault early warning method and device, and the method comprises the steps: obtaining a plurality of first bearing temperatures of a bearing in a recent time period, and a first working state parameter combination, corresponding to each first bearing temperature, of rotating equipment, and enabling each first working state parameter combination to comprise at leastone first working parameter; Carrying out trend extraction on the plurality of first bearing temperatures to obtain a second bearing temperature, and carrying out trend extraction on each first working state parameter combination to obtain a second working state parameter combination, the second working state parameter combination comprising at least one second working parameter; Processing the second working state parameter combination by adopting a regression model of a convergence state, and outputting a third bearing temperature; And determining whether the bearing has a fault according tothe second bearing temperature and the third bearing temperature. According to the scheme, the fault symptom of the bearing can be early found, so that necessary guarantee measures can be taken in advance, and more serious faults are avoided.
Owner:ZHONGKE INNOVATION BEIJING TECH
Calculation method and system for primary frequency regulation index of thermal power unit based on trend extraction
The invention provides a thermal power generating unit primary frequency modulation index calculation method and a thermal power generating unit primary frequency modulation index calculation system based on trend extraction. The method comprises the steps: searching the actual power and power grid frequency historical data of a thermal power generating unit according to the characteristic quantized value of a thermal power generating unit primary frequency modulation data segment, and obtaining the thermal power generating unit primary frequency modulation data segment; trend extraction is carried out on the obtained primary frequency modulation data segment of the thermal power generating unit; on the basis of the trend of each sub-data segment, determining the sub-data segment of whichthe trend change direction is opposite to the frequency change direction and the amplitude change is maximum as a primary frequency modulation action segment; and on the basis of the amplitude variation of the primary frequency modulation action section and the sample timestamp, obtaining parameter values required by calculation of the primary frequency modulation performance index of the thermalpower generating unit, and calculating the primary frequency modulation performance index of the thermal power generating unit. The method can effectively overcome the problems of a current thermal power generating unit primary frequency modulation performance index calculation method, and is of great significance in promoting the primary frequency modulation performance assessment of the thermalpower generating unit by the power grid, improving the stable operation level of the power grid and large-scale new energy consumption.
Owner:SHANDONG UNIV OF SCI & TECH
Degradation characteristic trend extraction method of brushless DC motor
ActiveCN106124985AThe degradation characteristics of the vibration signal are consistentRich running status featuresDynamo-electric machine testingVibration accelerationElectric machine
The invention discloses a degradation characteristic trend extraction method of a brushless DC motor. The vibration signals in the operation process of the brushless DC motor are extracted by an acceleration sensor, the vibration acceleration signals act as the motor performance parameters, and the change trend of the vibration acceleration signals is analyzed by the full frequency domain energy mean so as to represent the degradation process of the brushless DC motor. The method comprises the following steps of 1) installation of the tested brushless DC motor and test equipment; 2) acquisition of the vibration signals; 3) EMD decomposition; 4) calculation of the marginal energy spectrum; 5) calculation of the full frequency domain energy spectrum mean; and 6) generation of the degradation characteristic trend.
Owner:苏州航大科创发展有限公司
Data analysis method and device, electronic equipment and readable storage medium
The invention provides a data analysis method and apparatus, an electronic device and a readable storage medium, and relates to the technical field of information processing, the method comprises thesteps of obtaining access data, and preprocessing the access data; inputting the preprocessed access data into a trend extraction filter to obtain trend data; and analyzing the access data according to the trend data. The method comprises the following steps: preprocessing acquired access data to filter out invalid access data; and then extracting trend data which comprises trend components and noise components from the preprocessed access data based on time by utilizing a trend extraction filter, thereby ensuring that the access data can be accurately analyzed according to the trend data, andfurther ensuring that the access data is effectively evaluated.
Owner:恩亿科(北京)数据科技有限公司
Pressure transformer with trend extracting function
ActiveCN103292951AEasy to check on siteWith trend extraction functionForce measurementFluid pressure measurementSignal conditioningTransformer
The invention discloses a pressure transformer with a trend extracting function. The pressure transformer comprises a signal conditioning unit, a casing and a display module, wherein the signal conditioning unit is connected and packed in the casing, and the display module is arranged on the outer side of the casing, further connected with the signal conditioning unit and used for displaying parameters. The signal conditioning unit comprises an information storing module and a trend extracting module, wherein the information storing module is used for storing signals and system parameters, the trend extracting module is respectively connected with the information storing module and the display module, the trend extracting module can extract pressure information stored in the information storing module, the trend extracting module can acquire trend pressure signals in a set time quantum through operation, and the display module can display the extracted trend signals. The pressure transformer uses the trend extracting module to extract and operate pressure signals in a period in the information storing module, so that data change trend in the period can be extracted, and analysis on pressure signals is facilitated.
Owner:PETROCHINA CO LTD
Method for two time-scales video stream transmission control
InactiveUS8578436B2Stable and high qualityEfficient use ofError preventionTransmission systemsVideo transmissionExponential smoothing
A method for two time-scales video stream transmission control is proposed, which mainly includes the following three steps. Firstly, a model-based long time-scale bandwidth trend extraction step is proposed to calculate a current bandwidth through a Transmission Control Protocol (TCP) throughput model, and predict a trend of network bandwidth by using an Exponential Smooth Model (ESM) according to the calculated current bandwidth. Secondly, a short time-scale bandwidth fluctuation detection step is proposed to divide a network status into three categories and according to different network statuses, additively increase or multiplicatively decrease the estimated bandwidth. Thirdly, a target bit rate adjustment step based on two asymmetrical thresholds is proposed to set an up-threshold and a down-threshold of bandwidth to avoid frequently adjusting a target bit rate of an encoder. The method can satisfy the requirements of TCP-friendliness, real-time, and smoothness for the video transmission.
Owner:BEIHANG UNIV
Hydropower station equipment real-time monitoring data monitoring system and monitoring method based on trend alarm
PendingCN114237128AImprove accuracyImprove reliabilityProgramme controlComputer controlMonitoring systemHydropower
The invention provides a hydropower station equipment real-time monitoring data monitoring system and monitoring method based on trend alarm, and belongs to the technical field of hydropower station monitoring. The method comprises the following steps: respectively acquiring real-time monitoring data and historical data; constructing a trend alarm model, and obtaining an alarm threshold according to the trend alarm model; inputting the real-time monitoring data into the trend alarm model to obtain a real-time output value; whether the real-time output value is larger than an alarm threshold value or not is judged, when the real-time output value is larger than the alarm threshold value, an alarm signal is output, and monitoring of the real-time monitoring data of the hydropower station equipment is completed. According to the method, early warning of the monitored hydroelectric equipment, evaluation of the state of the monitored hydroelectric equipment and decision support information can be effectively provided from trend extraction, the accuracy and reliability of real-time monitoring of a hydropower station are improved, and the technical effects of saving the labor cost are achieved.
Owner:HUANENG LANCANG RIVER HYDROPOWER +1
An Adaptive Online Monitoring Data Trend Extraction Method
ActiveCN103617356BImprove computing powerThere is no phenomenon of "over-screening"Special data processing applicationsDecompositionMorphological filter
Owner:STATE GRID CORP OF CHINA +2
A cloud-based intelligent walnut movement pattern recognition method and system
ActiveCN112274872BPhysical therapies and activitiesDevices for pressing relfex pointsExercise timeEngineering
The present invention relates to a cloud-based smart walnut motion pattern recognition method and system, the method comprising the following steps: S601, using the smart walnut internal sensor to collect user motion data in real time; S602, smoothing and preprocessing the constructed time series, and The processed time series extracts the movement trend according to a certain interval; S603, respectively calculates the acceleration and angular acceleration for the three coordinate axis directions, and performs the correlation analysis of the movement trend of the smart walnut; S604, the movement trend correlation of the smart walnut calculated in step S603 Construct the correlation coefficient feature of three coordinate axis direction dimensions according to the result; S605, use the correlation coefficient feature of the three coordinate axis direction dimensions constructed in step S604 to train the action recognition model; S606, perform intelligent walnut action recognition on the newly collected user motion data, Feedback the recognition result to the user. The beneficial effect is to effectively evaluate the exercise time and state of the smart walnut user and remind the user to exercise regularly.
Owner:金书易 +1
A method for extracting and predicting equipment performance degradation trend
ActiveCN109992895BCalculation speedHigh precisionDesign optimisation/simulationSpecial data processing applicationsTrend predictionIndustrial engineering
The invention relates to a method for extracting and predicting the degradation trend of equipment performance. Real-time online data to obtain the current performance degradation time series of hydropower units; (2) use ITD to decompose the performance degradation time series of hydropower units into the sum of several stationary PRC time series and a trend component; (3) for all the obtained components Identify the complexity characteristics of the time series, and reconstruct the components to obtain the performance degradation trend according to the preset complexity characteristic threshold; (4) evaluate, judge and predict the performance of the hydroelectric unit equipment according to the obtained performance degradation trend, and use Detect equipment abnormalities in time. The invention can be widely used in the field of predicting the performance degradation trend of hydroelectric unit equipment.
Owner:CHINA INST OF WATER RESOURCES & HYDROPOWER RES +1
Signal high-frequency oscillation characteristic processing method
ActiveCN113361389AIncrease authenticityIncrease flexibilitySemiconductor/solid-state device testing/measurementCharacter and pattern recognitionWaveform analysisWave shape
The invention relates to a signal high-frequency oscillation characteristic processing method. The method comprises the following steps: step 1, storing an oscillation solution in a knowledge base; step 2, for a signal to be processed, when a matched oscillation solution is searched in the knowledge base, skipping to step 3, otherwise, skipping to step 4; step 3, processing the to-be-processed signal by using the searched oscillation solution, generating a processing report and skipping to step 6; 4, obtaining a standard waveform, and obtaining the waveform characteristics of the waveform to be processed according to the corresponding standard waveform; step 5, determining an oscillation signal processing method of the to-be-processed signal according to the determined waveform characteristics of the to-be-processed signal; and step 6, ending. According to the method, the authenticity, flexibility, leakproofness and reliability of the waveform analysis process can be improved. Meanwhile, the method adapts to unpredictable oscillation interference of the waveform, and practical and effective trend extraction can be continuously carried out on high-frequency oscillation of which the complexity degree is changed.
Owner:山东阅芯电子科技有限公司
Vehicle performance curve trend fitting method and device, equipment and storage medium
PendingCN113761799AHigh speedImprove efficiencyDesign optimisation/simulationMachine learningSimulationIndustrial engineering
The invention discloses a vehicle performance curve trend fitting method and device, equipment and a storage medium. The method comprises the following steps: acquiring an initial burr scale of a vehicle performance curve; traversing each point of the vehicle performance curve by taking the scalar value of the initial burr scale as a value of a unique super parameter to obtain all inflection points; and removing burr inflection points in all the inflection points, carrying out trend fitting on the remaining inflection points, and obtaining an inflection point trend line, so that the authenticity and accuracy of the trend line can be improved, the vehicle performance curve trend extraction speed and efficiency are improved, the time consumed by vehicle performance curve trend extraction is saved, trend distortion is avoided, and an effective basis is provided for traffic data analysis and application.
Owner:DONGFENG COMML VEHICLE CO LTD
Cloud-based intelligent walnut motion mode identification method and system
ActiveCN112274872APhysical therapies and activitiesGymnastic exercisingRegular exerciseExercise time
The invention relates to a cloud-based intelligent walnut motion mode identification method and system. The method comprises the following steps of: S601, acquiring user motion data in real time by using an internal sensor of an intelligent walnut; S602, carrying out smoothing preprocessing on a constructed time sequence, and carrying out motion trend extraction on the processed time sequence according to a certain interval; S603, respectively calculating the acceleration and angular acceleration in three coordinate axis directions, and carrying out intelligent walnut motion trend correlationanalysis; S604, constructing correlation coefficient characteristics of three coordinate axis direction dimensions according to the intelligent walnut motion trend correlation result calculated in thestep S603; S605, training an action recognition model by utilizing the correlation coefficient characteristics of the three coordinate axis direction dimensions constructed in the step S604; and S606, performing intelligent walnut action recognition on the newly acquired user motion data, and feeding back a recognition result to the user. The method has the advantages that the exercise time and state of the intelligent walnut user are effectively evaluated, and the user is reminded of regular exercise.
Owner:金书易 +1
Pressure transformer with trend extracting function
ActiveCN103292951BEasy to check on siteWith trend extraction functionForce measurementFluid pressure measurementSignal conditioningTransformer
The invention discloses a pressure transformer with a trend extracting function. The pressure transformer comprises a signal conditioning unit, a casing and a display module, wherein the signal conditioning unit is connected and packed in the casing, and the display module is arranged on the outer side of the casing, further connected with the signal conditioning unit and used for displaying parameters. The signal conditioning unit comprises an information storing module and a trend extracting module, wherein the information storing module is used for storing signals and system parameters, the trend extracting module is respectively connected with the information storing module and the display module, the trend extracting module can extract pressure information stored in the information storing module, the trend extracting module can acquire trend pressure signals in a set time quantum through operation, and the display module can display the extracted trend signals. The pressure transformer uses the trend extracting module to extract and operate pressure signals in a period in the information storing module, so that data change trend in the period can be extracted, and analysis on pressure signals is facilitated.
Owner:PETROCHINA CO LTD
A Turnout Fault Diagnosis Method Based on Qualitative Trend Analysis
ActiveCN107451004BIncrease credibilityLow costFault responseComplex mathematical operationsAlgorithmTrend analysis
Owner:NANJING UNIV OF SCI & TECH
A Method for Extracting Traffic Flow Trend Based on Floating Car Data
ActiveCN103810849BThe changing trend of traffic flow is highlightedClear referencesDetection of traffic movementSpecial data processing applicationsInterval methodGranularity
The invention discloses a traffic flow change trend extraction method based on floating car data and belongs to the technical field of intelligent transportation. The traffic flow change trend extraction method based on the floating car data comprises obtaining historical floating car data of at least three mouths of a road chain and classifying the data according to feature days; performing denoising and smoothing on the historical floating car data; dividing the historical floating car data of every feature days into at least one time frame according to the change trend of a morning peak and an evening peak; performing preliminary clustering on the classified historical floating car data through a K-means clustering method; further clustering the historical floating car data through a controlled interval method or a two-value method according to a coarse granularity expression of traffic information. The traffic flow change trend extraction method based on the floating car data combines the coarse granularity expression of the traffic information, further merges the traffic flow trends on the basis of a K-means clustering method, enables the traffic flow change trend to be more salient, thereby providing more crystal clear references for traffic flow prediction, route planning and induction, route planning and the like.
Owner:北京千方城市信息科技有限公司
A method for identifying early overflow layers while drilling during oil and gas drilling
ActiveCN110795853BImprove real-time performanceImprove reliabilityData processing applicationsDesign optimisation/simulationWell drillingVolumetric data
The invention discloses a method for identifying early overflow layers while drilling in the process of oil and gas drilling, comprising the following steps: S1, selecting the real-time overflow monitoring parameters of mud logging while drilling that can be obtained in advance and can reflect the early stage of overflow; S2, respectively Use trend algorithm and data standardization method to process the selected overflow monitoring parameters; S3. Input the processed overflow monitoring data into the trained factor analysis model for overflow layer identification, and use the numerical value of the overflow while drilling data Qualitative evaluation in the form of the overflow layer identification curve; S4, calculate the dynamic difference and trend feature quantity of the total pool volume data corresponding to the late well depth, and extract the trend of the data. If the calculated dynamic difference of the total pool volume and If the trend characteristic quantity exceeds the set threshold, it is judged that the result of S3 is an overflow layer; S5, repeat steps S2 to S4 until all parameters are processed. The invention can detect and accurately predict the depth of the overflow layer in advance.
Owner:SOUTHWEST PETROLEUM UNIV
Method, device and medium for effective battery charging data identification based on deep learning
ActiveCN114579644BRealize intelligenceFully automatedDigital data information retrievalData processing applicationsBattery chargeEngineering
The embodiments of the present invention disclose a method, device and medium for identifying effective battery charging data based on deep learning. The method includes: acquiring a charging data curve during the charging process of the whole vehicle; using a plurality of sliding windows of different sizes to slide on the charging data curve, and after each sliding of each sliding window, according to the charging data in the window The data curve calculates the data confusion degree and the data change trend, and then summarizes the total data confusion degree and the total data change trend corresponding to each sliding window; extracts the characteristics of the total data confusion degree and the total data change trend; The features of the degree of confusion and the change trend of the total data are input to the deep learning model, and the valid or invalid identification result output by the deep learning model is obtained. This embodiment can realize fast and automatic identification of effective battery charging data.
Owner:CHINA AUTOMOTIVE TECH & RES CENT +2
An intelligent chemical dosage control system for fpso
ActiveCN113341723BRealize online intelligent autonomous controlExternal drainage quality indicators are stable and qualifiedTotal factory controlAdaptive controlAutomatic controlFeedback control
The invention provides an intelligent chemical agent addition amount control system for FPSO, which relates to the field of chemical agent automatic control in the production water treatment process of a floating production, storage and unloading device (FPSO), including a trend extraction training module based on real-time data of an oil-containing analyzer and a Based on the intelligent control module of trend data, the present invention designs a set of intelligent algorithms to realize on-line intelligent autonomous control of the added amount of chemical agents under the condition that the existing measurement information is inaccurate, and extracts the algorithm model of the trend of oil content in produced water for the trend Feedback control of extraction and chemical additions, to achieve stable and qualified external drainage quality indicators; reduce waste of chemicals and reduce operating costs; rationally decide the addition of cleaning agents to improve the performance of the FPSO platform's chemical addition system.
Owner:CNOOC ENERGY TECH & SERVICES
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