429results about How to "Realize quantitative evaluation" patented technology

The invention discloses an oil-gas well cement sheath seal characteristic simulation test device and a test method. The device comprises a kettle, an upper kettle cover, a lower kettle cover, a heating jacket, a booster pump, a pressure relief pump and a liquid level and air flow recorder. A simulated stratum core can be placed in the kettle, a mud cake is formed on the inner wall of the core, and insertion of a casing pipe and grouting of cement paste can be realized. A solidification process of the cement paste under underground operating conditions is simulated, clean water, oil or a gaseous medium can be applied to two ends of an annular cylindrical cement sheath to form differential pressure, seal characteristics of the cement sheath in corresponding size can be evaluated by measuring leakage or variation of the differential pressure at two ends, and factors such as the casing pipe size, cement paste performance, mud cake thickness, curing pressure, temperature and the like can be changed to evaluate influences of the factors on the seal characteristic of the cement sheath.

A method for estimating anti-seismic ability of building includes integrating anti-seismic ability estimation, analysis and reinforcement of weak floor and weak unit, simplified ability chart, etc on the same software platform; utilizing man-machine interactive program to carry out quantitative estimation on anti-seismic ability of steel concrete structure for realizing anti-seismic ability estimation of building.

The invention discloses a rolling bearing health condition evaluation method based on CFOA-MKHSVM, belongs to the technical field of bearing fault evaluation and aims at evaluating rolling bearing performance degradation degree more effectively. The method includes: extracting time domain and frequency domain statistical features of bearing vibration signals and wavelet-packet-based time frequency features; aiming at the problems of nonuniform state data distribution and data heterogeneity of a rolling bearing, adopting a hyper sphere support vector machine for recognition and performing multinuclear convex combination and optimization; in order to eliminate blindness of artificial selection of multiple parameters of a classifier and proneness to selecting into a local optimum problem, combining a fruit fly algorithm with a chaos theory to optimize the multiple parameters; building a chaos optimization fruit fly algorithm-multi-core hyper sphere support vector machine CFOA-MKHSVM model, and putting forward a normalized difference coefficient evaluation index. Experiments for comparing the normalized difference coefficient evaluation index with an SVDD algorithm evaluation index verify effectiveness of the normalized difference coefficient evaluation index, and quantitative evaluation of rolling bearing health state is realized.

The invention provides an electric power operation monitoring data quality assessment system and method. The system includes a data set extraction module, an abnormity discrimination module, and a data quality assessment module that independently execute scripts codes. The method includes that a needed data set is extracted from an electric power operation monitoring data center; for the target data set, the abnormal electric power data is discriminated by means of data quality assessment indexes and constraint rules, the detected data quality problem is processed, an evaluation method is determined, and the calculation result is stored; and the result information of the data quality assessment indexes is acquired and the visualized operation is selected. The system and method prevent the problem in the data quality assessment process in the prior art, greatly improve the whole data quality assessment efficiency, and can visually perform quantification assessment and result feedback, and thus providing a systematic and comprehensive data quality assessment standard, guaranteeing the accuracy, timeliness, effectiveness, and reliability of data, enhancing the improvement of electric power operation monitoring data quality and further improving the running stability of an electric power system.

The invention discloses a petrochemical port area accident risk area quantitative assessment method comprising the following steps: (1) putting forward a petrochemical port area accident integrated risk area quantitative assessment mode; (2) building an improved accident probability calculation model based on an accident domino effect; (3) building an improved consequence intensity calculation model based on uncertainty analysis; and (4) getting the formation mechanism and the overall distribution characteristics of accident risk in a petrochemical port area according to the corrected accident integrated risk area quantitative assessment mode, the improved accident probability calculation model and the improved consequence intensity calculation model, and putting forward petrochemical port area accident risk control measures. By employing the method of the invention, the accuracy of accident probability calculation and consequence simulation is improved, and the guiding significance of risk assessment to risk prevention and control is enhanced.

The invention provides a measuring method for an internet service user to percept QoE, and relates to an assessment method of client perception in a communication network. The invention realizes quantization assessment of the client perception. The client perception is a subject factor, and is generally good, not good, bad or the other senses, and is difficult to quantize. By the quantization measuring method of the client perception, the invention can measure the perception of the client from network coverage, accessibility, retentivity, completeness and not-network factors and the like multi-dimensionally and completely. The invention defines a congruent relationship of a QoE module, the QoE and QoS and the grade standard and computing method of the QoE, provides an effective measurement method for assessing the client perception for an operator, and a referable basis for the operator to optimize the network and improve the service quality.

The invention provides a power grid operation assessment method for realizing a multilayer indicator system. The method comprises the following steps that step one, a multilayer indicator hierarchical model is established; step two, an evaluation and judgment matrix is constructed layer by layer; step three, the weight of each indicator is calculated by adopting a geometrical analysis method; step four, the consistency of the evaluation indicator judgment matrix is judged; and step five, the weight result of all layers is combined, and qualitative indicators and quantitative indicators required by a scheme layer are determined. Multilayer three-dimensional assessment is performed on the power grid operation process by the method so that the assessment result is more accurate. The method adopts a scientific analytical algorithm so that comprehensive and objective analysis and assessment of the multilayer indicator system can be realized, reconstruction of power grid operation can be realized and high efficiency and safety of power grid operation can be enhanced.

The invention relates to the field of new energy wind power generation system, in particular to a wind turbine health warning method, comprising the following steps: (1) collection of wind farm monitoring data: collecting and storing the monitoring data under the normal operation state of the wind farm; (2) selection and determination of the characteristic parameters related to the output power ofthe wind turbine; (3) establishment of wind turbine power forecasting model; (4) construction of standard residual set of health status; (5) acquisition of real-time residual set; (6) wind turbine health assessment and early warning. The invention converts the selected generator output power performance parameter into an appropriate distance measurement, and reflects the health state of the comprehensive generating capacity of the unit at the time point. The method can quantitatively evaluate the deterioration of the generating capacity of the unit under the generating operation condition, and has strong practicability.

The method sets up sensing optical fiber on surface of prefabricated foundation pile to be measured. Both dependent variable and temperature sensed of the fiber are based on Brillouin backscattering. At incidence end of pulsed light, the method measures received light power of Brillouin backscattering so as to accomplish function of measuring and positioning Brillouin frequency shift on each points of optical fiber. In procedure of sinking pile, strain distribution is as basic parameter to reflect impaired character and degree of foundation pile. Based on linear correlation between Brillouin frequency shift and strain, temperature, the method carries out temperature compensation based on measured strain distribution and temperature distribution so as to obtain actual strain distribution on surface of foundation pile to be measured.

The invention relates to a method for calculating user perception, comprising the following steps of: respectively calculating the score data of each key quality index of the bottommost dimension in a user perception evaluating model; multiplying all the key quality indexes belonging to the bottommost dimension with corresponding weight coefficient and then adding the key quality indexes with the corresponding weight coefficient to obtain the score data of the bottommost dimension; multiplying the score data of the bottommost dimension with the corresponding weight coefficient and then adding the score data with the corresponding weight coefficient to obtain the score data of the dimension before the bottom dimension so as to obtain the user perception score of the top-level dimension in turn. The method can perform quantizing evaluation on the communication quality of users in the interest of users so as to reflect true perception of the users.

The invention discloses a combination property experimental device and a performance estimating method for a sand-preventing sieve tube, which belong to the technical field of loose sandstone oil and gas field development. The device comprises a closed main tank body, a simulating well wall sleeve, a simulating casing, a simulating jet hole eyelet and a fastening tie rod; the main tank body comprises a top cover, a barrel side wall and a supporting bottom; the side wall of the main tank body is provided with eight liquid inlets; the supporting bottom is provided with one liquid outlet and seven pressure testing holes; the top cover is provided with two air exit holes and four assembling hanging rings; both the simulating well wall sleeve and the simulating casing are steel barrels with a plurality of eyelets, are nested in the main tank body and are detachable; the simulating eyelet is a plastic short pipe with better flexility; and the fastening tie rod is a specially-made steel bolt. By using the combination property experimental device and the performance estimating method for the sand-preventing sieve tube, sand-preventing well completion conditions, such as the sand prevention and the gravel packing sand prevention and the like of a jet hole, a bare hole and a sieve tube can be simulated; the radial flow state at the bottom of an actual well is simulated; collected data of flow rate, pressure and sand production rate are analyzed; and one set of performance evaluating method for the sand-preventing sieve tube is provided.

The invention discloses a sweet spot identification and comprehensive evaluation method for a tight sand reservoir. According to the method, eight conventional logging curve data are taken as a basis. By utilizing the SPSS data analysis software, common factors capable of comprehensively reflecting the characteristics of a reservoir in a target area are extracted based on the PCA (principal component analysis) method. According to the physical significance of each common factor, the sweet spots of the tight sand reservoir are recognized, and a sweet spot qualitative recognition model for the tight sand reservoir is established. On the above basis, a common factor calculation model for porosity and permeability is established in conjunction with physical property test data, so that the types of the reservoir are divided. According to the physical property parameters of various reservoir types and the parameter characteristics of common factors, a quantitative evaluation standard for the tight sand reservoir is determined. Therefore, the qualitative recognition and the quantitative evaluation for the sweet spots of the tight sand reservoir are realized. Based on the method, a novel idea and a novel method are provided for the interpretation and evaluation of the tight sand reservoir. Therefore, the interpretation and evaluation reliability of the tight sand reservoir is improved. The exploration and development cost is reduced.

An electric automobile charging and replacing station fire risk data evaluation method includes the steps: numerically simulating actual acquired data of fire scene main structures of a distribution room, a charging and replacing room and a monitoring room in an electric automobile charging and replacing station by a modeling tool to obtain a large number of simulated data, and screening or exhausting the fire development condition of a single room after catching fire and influence factors of the fire on the whole charging and replacing station; determining a data evaluation range; building a fire risk data hierarchy structure model; calculating the weight of each factor by a hierarchy analysis method; determining fire risk levels; judging whether the fire risk levels meet safety requirements or not, if the fire risk levels do not meet the safety requirements, calculating improving suggestion data according to fire risk and harmfulness obtained in the first step, returning to the fourth step according to the proposed suggestion data, reconstructing a judgment matrix, calculating the weight and performing evaluation until meeting evaluative criteria. Reliable data can be provided, and prediction accuracy is improved.

The invention discloses an aggregated white blood cell segmentation counting system. The system comprises an image acquisition module for dyeing white blood cells in a blood sample, dissolving red blood cells in the blood sample by using red blood cell lysate and acquiring a white blood cell image, an image preprocessing module used for performing image background removal on the white blood cellimage and obtaining an optimal segmentation threshold by using a maximum inter-class variance method and roughly segmenting a white blood cell region, an aggregated cell determination module used forobtaining a coarse segmentation image according to the rough segmentation of the white blood cell region, setting a discriminant function of a cell area and obtaining a multi-cell aggregation region,and an aggregated cell segmentation counting module used for extracting a cytoskeleton in each aggregation region and a gray curve at the cytoskeleton by using a morphological refinement method. According to the invention, by analyzing the gray scale characteristics of various white blood cell areas under a low power microscope, an adaptive threshold function is constructed, while a white blood cell count is obtained, the number of oxyphil cells is obtained, the cells in the aggregation region are quickly and accurately divided and counted, the method is quick and simple and is easy to implement.

The invention relates to a transient voltage stable on-line assessment method based on a WAMS (Wide Area Measurement System) and an EMS, comprising: obtaining WAMS real-time power grid measurement information to determine whether a power grid is disturbed; obtaining the topological structure, parameters and power flow operation information of a current power grid from an EMS when the power grid is disturbed so as to calculate a full admittance matrix concerning load equivalent admittance; according to the WAMS measurement information, running statistics on nodes having a voltage dip exceeding a preset threshold value, obtaining Thevenin equivalent parameters of statistic nodes based on full admittance matrix inversion to be used as an initial value to track Thevenin equivalent parameter identification of the WAMS measurement information and static state voltage stable margin index calculation, and calculating a transient voltage dip acceptability area index; and running statistics on nodes having a power grid node voltage dip exceeding a preset threshold value and having a dip duration greater than a preset threshold value, and determining the occupancy of power grid disturbance transient voltage instability nodes. The method can rapidly and effectively realize the stable and rapid assessment of a transient voltage.

The invention provides a well drilling comprehensive speed accelerating optimization expert system. The expert system comprises an adjacent well data acquisition unit, a drilling following data acquisition unit, a geological property analysis module, a drill bit efficient rock breaking datum line generation unit, a drilling efficiency evaluation module and a well drilling real-time optimization module, wherein the adjacent well data acquisition unit is used for acquiring adjacent well finishing drilling data and adjacent well geological data; the drilling following data acquisition unit is used for acquiring current well drilling following real time data association; the geological property analysis module is connected with the adjacent well data acquisition unit and the drilling following data acquisition unit, and is used for confirming a rock compression strength section and a rock property section of the current drilling well; the drill bit efficient rock breaking datum line generation unit is connected with the geological property analysis module, and is used for obtaining an efficient rock breaking datum line; the drilling efficiency evaluation module is connected with the drilling following data acquisition unit, and is used for calculating rock breaking efficiency evaluation indexes; the well drilling real-time optimization module is connected with the drilling following data acquisition unit, the drilling efficiency evaluation module and the drill bit efficient rock breaking datum line generation unit, and is used for optimizing drilling efficiency. The expert system can break through the limitation that penetration rate is taken as performance evaluation, realizes quantifying evaluation of rock breaking efficiency, and achieves the goal of improving drilling speed.

The invention provides an electric power system payment channel evaluating method based on large data and belongs to the field of electric power systems. The method comprises the steps of: firstly based on investigation questionnaire data, adopting a K-means clustering algorithm to carry out figure analysis on user payment behaviors, and identifying corresponding relations between various kinds of user attributes and the various kinds of user payment behaviors; utilizing a K nearest neighbor classification algorithm to carry out nearest neighbor clustering on electric power system payment channel evaluation factors, using a clustering result as a payment channel evaluation index, and establishing a payment channel evaluation system; utilizing a simulated genetic annealing algorithm to determine the weight of the payment channel evaluation index so as to form a payment channel evaluation module; and for new areas or new periods, utilizing electric power system practical payment data to judge whether the payment channel evaluation module is suitable, and if not, establishing a new evaluating module. The invention fills a technical void in the electric power system field, the quantitative evaluation of the electric power system payment channel is realized, and a scientific decision making basis are provided for the planning, construction and reconstruction of the payment channel.

The invention discloses an experimental method of organic acid generation and an erosion effect of the organic acid on a tight oil reservoir. The experimental contents include (1) a hot simulation experiment for proportioning kerogen and a clay mineral to form a sample and generating an organic acid; (2) a hot simulation experiment for generating the organic acid by virtue of thermal evolution of shale; (3) a hot simulation experiment for the erosion effect of the organic acid on tight sandstone and monomineral; and (4) a hot simulation experiment for artificially proportioning the sample. The mechanism and influence factors of the development of the tight reservoir, especially erosion pores of the shale reservoir can be clarified by analyzing the experimental data, and a dynamics model of the organic acid generation and a thermodynamic model of the decarboxylation and erosion reaction of the organic acid can be established; the geological application can be realized by combining the models with the sedimentary and burial history, thermal history and mineral association characteristics of the reservoir in a research area, the development situation of a secondary erosion pore in different geologic periods can be quantitatively evaluated, and a foundation can be set for predicting a tight oil exploration sweet spot area.

The invention discloses a shale bedding inner supporting agent transportation simulating device and an evaluation method. The shale bedding inner supporting agent transportation simulating device comprises a continuous liquid mixing system, an automatic sand mulling system, a control and data processing system and a bedding seam internal flow simulating system. The continuous liquid mixing systemis connected with the automatic sand mulling system, the automatic sand mulling system is connected with the bedding seam internal flow simulating system, and the bedding seam internal flow simulatingsystem is connected with the control and data processing system. According to the shale bedding inner supporting agent transportation simulating device and the evaluation method, slugging type sand adding, continuous sand adding and various liquid system mixed fracturing pump injection procedure simulation on a fracturing site can be achieved, quantitative evaluation of the supporting effects ofdifferent cracks is achieved, and the theoretical basis and experimental support are provided for on-site pump injection procedure simulation optimization and fracturing parameter quantitative evaluation.

A device for testing bonding performance of a synthetic fiber and cement based material during the plastic stage contains a force transducer, a holder, a drive system and a computer. The upper end of synthetic fiber is fixed by the holder and the lower end is embedded in a cement matrix. The holder is installed on the force transducer. The cement matrix is linked with the transmission system. The end of the synthetic fiber clamped by the holder is fixed. Under the control of the computer, the transmission system drives the cement matrix to move such that the synthetic fiber is pulled out from the cement matrix. The force transducer inputs force parameters measured during the pulling process into the computer for test and analysis. The invention solves problems of large measuring range and insufficient precision of present test equipment. According to the invention, the whole process is completed by the operation of the computer, and corresponding measurement and control parameters are arranged for the synthetic fiber, so as to guarantee validity and accuracy of the test result.

The invention discloses a method for detecting water toxicity by using a biologic fish toxicity test. The method comprises the steps of: breeding medakas; preparing Cr6+ solutions at different concentrations; performing the biologic fish toxicity test by taking standard water as a control group and Cr6+ solutions at different concentrations as test groups; detecting death rates of medakas after 24 hours, 48 hours, 78 hours and 96 hours; drawing a standard curve of Cr6+ to the death rate; performing the biologic fish toxicity test by using a water sample to be detected and setting up a standard water control group; detecting the death rates of medakas after 24 hours, 48 hours, 78 hours and 96 hours; substituting the corresponding standard curve; and representing the water toxicity of the water sample with Cr6+ concentration. Through the standard curve of Cr6+ to the death rate, the water toxicity is quantitatively evaluated and the water pollution condition can be judged; the method provides technical supports for sudden water pollution and a water treatment technology of a water plant; and the risk of causing human cancers by exposure of drinking water is reduced.

The invention provides a novel method for predicting low-permeability sandstone reservoir productivity based on conventional logging information. The novel method for predicting low-permeability sandstone reservoir productivity based on conventional logging information comprises the steps that 1, on the basis that core analysis information is combined with logging information, basic parameters are obtained; 2, a flow coefficient is determined, a pressure gradient is started; 3, multiple regression is used for building a yield quantitative prediction model; 4, a productivity prediction simple plate is built, and the low-permeability sandstone reservoir productivity is predicted; 5, a fracture layer selection plate is built, and whether a low-permeability sandstone reservoir needs to be subjected to fracture or not is evaluated; 6, a fractured yield prediction plate is built, and the fractured yield is subjected to quantitative prediction. According to the novel method for predicting low-permeability sandstone reservoir productivity based on conventional logging information, the problems caused by evaluation and prediction of the low-permeability sandstone reservoir productivity in the current oil field high-exploration-level stage are solved, and low-permeability sandstone reservoir productivity qualitative and quantitative evaluation is achieved.

A method for evaluating shale reservoir stratum occurrence gas absorption quantity belongs to the technical field of petroleum exploration and development. The method can evaluate the shale reservoir stratum occurrence gas absorption quantity at different temperatures and pressures, so that the problem the cost for an on-site core analysis and isothermal adsorption experiment is high is overcome. The method comprises the following steps: 1) analyzing the component covered area of holes having different diameters in a shale sample per unit mass through a multiscale argon ion polishing and scanning electron microscope imagining method; 2) establishing a series of single-hole models of inner surfaces of holes which are covered with components and having different diameters through molecular simulation; 3) calculating the thickness and density of adsorbed-state methane located at the inner surfaces of mineral single-hole models in different temperature and pressures through molecular simulation; and 4) according to the component covered area of holes having different diameters and the thickness and density of adsorbed-state methane located at the inner surfaces of mineral single-hole models in different temperature and pressures in the shale sample, calculating the shale reservoir stratum occurrence gas absorption quantity at corresponding temperature and pressure.

The invention discloses a method for quantitatively examining the center segregation of a wire rod. The method comprises the following steps: taking two wire rod samples, rubbing down the cross section of one of the wire rod samples, splitting the other sample at the 2 / 3 position along the vertical direction of the wire rod sample, rubbing down the profile of the lager sample, putting the two rubbed surfaces next to each other in a same plane, inlaying through using a conductive resin, grinding the samples, polishing the plane when the width of the vertical profile of the wire rod sample is equal to the diameter of the other wire rod sample, and corroding the samples through using an alcohol solution of nitric acid; marking through drawing a line at the severest segregation position, and polishing the samples; and putting the samples in an electronic probe analyzer, finding the made mark through using a secondary electron image, carrying out C and Mn element X-ray intensity line analysis measurement of the full width of the samples through utilizing element characteristic X-ray spectrum analysis under an acceleration voltage of 10-20kV, an electron beam current of above 100nA and a beam spot dimension of 20-50mum, recording through using curves, testing the X-ray intensities of a standard sample of the analytic elements under same test conditions, converting the X-ray intensities in the curves into concentration contents, obtaining maximum concentrations and average concentrations from the curves, and obtaining the center segregation rates through calculating according to a formula of the center segregation rate=(the maximum value / the average value)*100%.

The invention relates to a blood flow speed calculation method for the coronary artery based on a radiography image. The method comprises the following steps that a coronary artery radiography image sequence is acquired; each frame of the acquired coronary artery radiography image is divided and subjected to binaryzation, and a coronary artery tree is extracted; target blood vessel center lines are extracted from the coronary artery tree; according to the change condition of the lengths of the target blood vessel center lines of different frames, the average blood flow speed of a target bloodvessel in the filling stage is calculated through fitting.

The invention discloses a cascaded pump station water conveying system optimized running-control coupling and coordinating method and system. The method comprises the steps of building a cascaded pump station water conveying system optimized running model, and solving a cascaded pump station water conveying system optimized running scheme; building a storage capacity compensation based pre-pumping water level control module by taking the water conveying flow and a corresponding water surface line in the optimized running scheme as control objectives, and fabricating each pump station control scheme; building a cascaded pump station water conveying system optimized running-control coupling model based on the optimized running model and the storage capacity compensation based pre-pumping water level control model; building a cascaded pump station water conveying running-control scheme evaluation model; building a cascaded pump station water conveying system optimized running-control coupling and coordinating model; and acquiring an optimized running scheme and a corresponding control scheme through coupling and solving the coupling and coordinating model. The method and the system disclosed by the invention provide technical support for optimized running and control of similar cascaded pump station water conveying systems in China such as an eastern route of the south-to-north water transfer project, the water conveying efficiency is improved, and the water conveying cost is reduced.

The invention provides a data asset value assessment method, belonging to the big data and the data copyright protection field. The data asset value assessment method comprises steps of establishing a hiberarchy model, integrating various pricing strategies, giving full consideration to the impact on the data asset value by various factors, using an AHP analysis method to obtain the weights of the various pricing strategies so as to obtain the assessment values of the data assets. The invention solves the problem that the prior art cannot reasonably perform assessment on the data asset value, performs reasonable pricing on the data asset and enables the data asset to go into the links of circulation and exchange, and thus lead the data circulation and data exchange.

The invention relates to a method and a system for setting a voltage change rate criterion of direct current line travelling wave protection. The method comprises the following steps: carrying out smoothing reactor valve side metalline earth fault simulation in a simulation model of a direct current transmission system, and obtaining a plurality of first current differential voltage values by sampling direct current bus voltage at each interval of scheduled time, so as to obtain an external fault protection characteristic quantity change boundary; carrying out terminal metalline earth fault simulation in the simulation model, and obtaining a plurality of second current differential voltage values by sampling the direct current bus voltage at each interval of scheduled time, so as to obtain an internal fault protection characteristic quantity change boundary; determining a protection setting value according to the external fault protection characteristic quantity change boundary and the internal fault protection characteristic quantity change boundary. By the method, the change boundaries of the protection characteristic quantity in the internal fault and the external fault can be accurately determined, so that the protection setting value can be accurately determined and quantitative evaluation on the protection performance is achieved.