1980results about How to "The calculation result is accurate" patented technology

The invention relates to a method for measuring shale gas well capacity. According to the method, according to the characteristic that a fracturing transformation area and a non-fracturing transformation area exist in the control area of a shale gas reservoir single well, the affect to the shale gas well capacity from adsorbed gas desorption-diffusion, the fracturing transformation area and the non-fracturing transformation area is taken into comprehensive consideration, a double-area composite shale gas reservoir material balance equation for considering the adsorbed gas is established, and by combining a gas well capacity equation and a fluid channeling equation between the two areas, a fast and accurate shale gas well capacity calculating method is established. In the calculation process through the method, a complex shale gas reservoir geologic model is not needed, and many geology and fracturing dynamic parameters are not needed either. The calculation results are suitable for various types of application such as shale gas well rational producing, technological policy development and scheme optimization development.

The invention discloses a method for accurately calculating a temperature field in an oil-immersed transformer. According to the method, a 3D physical model which completely corresponds to a real transformer in size and structure is built, scientific mesh generation is carried out on the physical model according to different characteristics of calculation methods, a finite volume method and a finite element method are combined for calculation, in other words, the finite volume method is used for calculating metal heat conduction of a winding and iron core portion and heat transfer in which fluid participates, and the accurate 3D calculation result of the temperature field in the oil-immersed transformer can be obtained; not only the temperature field of a winding or an iron core but also the temperature field of oil flow in the transformer, the temperature field of cooling fins and the temperature field of a transformer box can be accurately calculated, and the method has important and comprehensive referential significance in both design of transformers and actual operation of the transformers.

The invention provides a vehicle road load simulation method which comprises the following steps of: 1) complete vehicle modular modeling; 2) complete vehicle modular model validation; 3) complete vehicle model assembly; 4) complete vehicle model validation; 5) establishment of finite element models of enhanced durable roads; 6) model initialization; 7) obtaining of virtual road load result; and 8) comparative validation with physical road load. The invention has the advantages of shortening development time and reducing costs, which is of great significance to vehicle development during the conceptual design phase. During the conceptual design phase of new models, fatigue analysis can be carried out before the design and manufacture process by using a virtual prototype to predict road load so as to truly predict the life of the product, thus greatly reducing great expenses caused by producing prototype machines and testing the fatigue life.

The invention discloses a method and system for estimating remaining available capacity of a lithium ion power battery pack. The method comprises the following steps: recording the current value in the charging process and the time used by charging, and calculating the total available capacity of the lithium ion battery at the starting time of discharging, thereby obtaining the total available capacity A of the lithium ion battery; recording the open-circuit voltage and the voltage drop delta V in the discharging process, selecting the curvilinear function used by calculating the remaining available capacity percentage through the voltage drop delta V, and obtaining the remaining available capacity percentage a of the lithium ion battery; obtaining the service efficiency of the remaining available capacity SOC of the battery at the current temperature by utilizing the relation between temperature and remaining available SOC; and adding A*a* of all the batteries to obtain the remaining available capacity of the lithium ion battery pack. The system for realizing the method comprises a voltage, current and temperature monitoring module for monitoring the battery pack information, the monitoring module feeds the monitored information back to the MCU, and the MCU outputs the estimated remaining available capacity of the lithium ion power battery.

The invention provides a wind resource computation method, which comprises the following steps of analyzing original wind measurement data, and establishing a model required by CFD (computational fluid dynamics) computation on the basis of a full-height atmosphere boundary; computing wind speed and turbulent flow distribution under each wind direction condition by virtue of a CFD resolver; computing a wind resource distribution condition according to the wind speed and turbulent flow distribution under each wind direction condition, wind measurement mast coordinates, machine position coordinates, fan power data and wind condition data, and determining a position where a wind turbine generator is suitable to be mounted in a wind power plant. The method can also be used for analyzing wind resources of the wind power plant where the wind turbine generator is arranged.

The invention provides a method for checking relay protection setting, which can be utilized to realize the real-time monitoring and exact reflection of power grid characters, ensure the correct calculation result of the relay protection setting and the safe and stable running of a whole power grid, and reflect the actual load currents to the check process of the protection setting. In the method, real-time data of an EMS (energy management system), an overhaul information system and a failure information system are acquired, and a real-time running mode is utilized to calculate a current value and branch coefficients at a protection switch in each analog failure state, thus the flexibility and selectivity of the protection is checked in real time.

The present invention discloses an online examination method of relay protection setting value based on dynamic short-circuit current, which includes the following steps of: (1) obtaining real-time network-wide measurement data through EMS to establish an electrical network model; (2) carrying out a credibility assessment to the network-wide measurement data and to obtain the data which passes the assessment; (3) carrying out a dynamic short-circuit current calculation to the data passing the credibility assessment; (4) carrying out a setting calculation and examination of the protection setting value. The method enhances the accuracy of the short-circuit calculation result, realizes the online examination and real-time early warning of the relay protection setting value, and improves the automation degree of the protection setting value work.

A method for predicting the structure variation and properties of band steel in hot rolling procedure features that its system is composed of the preprocessing module for reading the technological parameters needed by hot rolling from database, the heating module, rolling module, cooling phase-change module and mechanical performance module for simulating the hot rolling procedure and predicting the final structure performance, and the post-precessing module for displaying the final result.

The invention discloses a method for accurately calculating the maximum power supply capacity of a medium voltage distribution network, which relates to the field of calculating the index power supply capacity of a distribution network of a power distribution system. The method comprises the following steps of: establishing a mathematical model taking the maximum power supply capacity TSC of the power distribution network as an objective function; converting the calculation into a problem of linear programming; and calculating the objective function by using linear programming software, wherein the calculated objective function is the accurate maximum power supply capacity under the existing 'N-1' restriction. The calculation result is more accurate, so the method can accurately calculate the power supply capacity of the power distribution network, and provides a new quantification, theory and evaluation tool for the power distribution network.

The invention discloses a gear profile modification method based on vibration reliability and a genetic algorithm, belonging to the technical field of reliability designs. The gear profile modification method can not only reduce meshing impact due to elastic deformation and manufacturing errors, but also reduce the meshing excitation of a gear so that a gear system has smooth transmission, the vibration and the noises are reduced, and the reliability and service life of the gear system can be improved. The gear profile modification method comprises the following steps of: (1), establishing an elastic modification virtual prototype for meshing between a gear and a modifying gear; (2) carrying out dynamic simulation on gear transmission errors in the process of an involute profile and the profile modification; (3) analyzing the reliability sensitivity of the transmission errors at the time of gear pair random parameter meshing; (4) determining optimal parameters of the gear profile modification by utilizing the genetic algorithm; and (5) verifying the correctness of the parameters.

The invention provides a method for predicting the fatigue life of a BGA (Ball Grid Array) welding spot under heat-vibration combined loads, comprising the following steps of (1), establishing the finite element model of a single BGA welding spot by adopting finite element analysis software; (2), carrying out heat cycle simulation on the BGA welding spot according to the conditions of a working environment; (3), calculating the damage rate of the BGA welding spot under heat cycle loads according to the result of heat cycle simulation; (4), carrying out random vibration simulation on the BGA welding spot under various temperature conditions; (5), calculating the damage rate caused by random vibration loads, of the BGA welding spot under the influence of heat cycle loads; (6) calculating the total damage rate of the BGA welding spot under the common action of the heat cycle loads and the random vibration loads; (7), calculating and obtaining the predicted service life of the BGA welding spot under the heat-vibration combined loads. By the adoption of the method, the precision of predicting the fatigue life of the BGA welding spot under the heat-vibration combined loads in practical production can be improved, and certain project application values are provided.

The invention relates to a subsea pipeline leakage monitoring system. The subsea pipeline leakage monitoring system comprises controllers, flow sensors, pressure sensors, temperature sensors and a center host computer. The inlet end and the outlet end of a pipeline to be monitored are each provided with one flow sensor, one pressure sensor and one temperature sensor. The flow sensor, the pressure sensor and the temperature sensor at the inlet end collect the flow, pressure and temperature signals of the inlet end in real time and send the flow, pressure and temperature signals to the first controller. The flow sensor, the pressure sensor and the temperature sensor at the outlet end collect the flow, pressure and temperature signals of the outlet end in real time and send the flow, pressure and temperature signals to the second controller. The controllers send the signals to the center host computer through an Ethernet switch, the leakage monitoring system inside the center host computer displays the information in real time and judges where the pipeline to be monitored is leaked or not, a leakage alarm is given out when leakage happens, and the leakage amount and leakage position are worked out and displayed. The center host computer sends the received signals and the judgment result to remote monitoring devices.

The invention relates to a stereoscopic supervision and data mining system and method facing lake blue-green algae disaster. The method comprises the steps that monitoring index data related to the lake blue-green algae disaster is obtained through the three ways of remote sensing monitoring, automatic monitoring and manual patrol inspect, and the obtained data is transmitted to a data center through the internet; the data center conducts data backup and data preprocessing on the received data, and temporal interpolation, spatial interpolation and abnormal decision processing are included; the data is transmitted to a database to be stored after being preprocessed; lake three-dimensional numerical model calculation is conducted according to a data source stored in the database, according to numerical model simulated data, to-be-monitored lake blue-green algae disaster risk evaluation is conducted, and lake blue-green algae disaster forecasting and early warning information is displayed on a public platform. According to the method and system, real-time stereoscopic monitoring on the blue-green algae disaster is achieved, collected data information is fully mined, data processing and model simulation are conducted, and blue-green algae disaster information real-time receiving, rapid and accurate processing and timely release are achieved.

The invention relates to a method and a device for detecting the refrigerating capacity of an air conditioner and the air conditioner, and relates to the technical field of air conditioning. When the air conditioner is running in a refrigeration mode, calculating the mass circulation volume per hour of a refrigerant, an enthalpy value of the refrigerant at an evaporator inlet and an enthalpy value of the refrigerant at an evaporator outlet according to the intrinsic parameters of the air conditioner and a physical property parameter computing method of refrigerant specification corresponding to the air conditioner; calculating to obtain the refrigerating capacity of the air conditioner according to the mass circulation volume per hour of the refrigerant, the enthalpy value of the refrigerant at the evaporator inlet and the enthalpy value of the refrigerant at the evaporator outlet. The method and the device provided by the invention have the characteristic that the refrigerating capacity output of the air conditioner can be detected in real time through calculating the mass flow rate of the refrigerant in a self-refrigerating system and the temperature parameter of the refrigerant in an indoor-outdoor heat exchanger (i.e. an evaporator and a condenser) by a software algorithm inside the air conditioner, so that a user can know the refrigerating capacity of the air conditioner in a more visual way.

The present invention relates to shape control method for cold rolled steel strip, and discloses method of treating convexity degree of the hot rolled material in the cold rolled steel strip shape setting and calculating. The treating method includes compensating calculation based on the sectional convexity degree data from hot rolling to eliminate the error caused by post step, and calculating the current convexity degree as the input condition for the accurate pre-calculation and post-calculation of roller bending force based on the current steel strip rolling position. The present invention can realize accurate setting in the whole length of steel strip without need of complicated and costly convexity degree measuring instrument in front of the cold rolling mill, and has saving in investment and lowered cost.

The invention provides a fatigue analysis method and a fatigue analysis device of a structural member in a wind generating set. The method comprises the following steps: establishing a finite element model for a to-be-measured structural member involving bearing connection and related structural members thereof; applying load to the finite element model according to various preset load working conditions respectively; acquiring each node stress result of the to-be-measured structural member under each load working condition through finite element analysis; scaling down the acquired stress results by taking a fatigue load sequence which is pretreated through regularization as a coefficient; synthesizing the stress results under the different load components after scaling down to obtain a stress spectrum of each node of the finite element model of the to-be-measured structural member; calculating a fatigue damage value of the to-be-measured structural member according to the stress spectrum of each node and the stress-life curve of the to-be-measured structural member. By applying the method and the device, the fatigue analysis result of the structural member in the wind generating set is more accurate.

The invention relates to a multi-gas-source steam pipe network computing system of a hydraulic thermal-coupling simulation model, belonging to the technical field of energy pipe network simulation calculation. The system provided by the invention comprises a relation database, a data acquisition module, a data result display module and a pipe network simulation calculation module, wherein the data acquisition module comprises a real-time database and a data acquisition subsystem; the data result display module comprises a data input submodule and a calculation result display submodule, and the pipe network simulation calculation module comprises a coupling simulation calculation submodule and a calculation result correction submodule. The system provides a modeling reference for multi-gas-source calculation through describing the topological structure of the pipe network by using a graph theory method, is coupled with hydraulic and thermodynamic calculation models, solves the modules by using a finite element method, and can trigger result correction when the pipe network environment is changed, and the data result display module can be displayed in a view control fitting of the pipe network in a visualization mode. The invention has the advantages of improving the calculation accuracy of state parameters and solving the calculation problems of the multi-gas-source pipe network model.

The invention discloses a system and method for combining cornea elasticity imaging with anterior segment structure imaging. The system is composed of an air injection excitation system and a sweep frequency OCT imaging system capable of carrying out transverse two-dimension scanning. The air injection excitation system provides air flow coaxial with imaging light beams and continuously distributed in the cornea transverse direction to enable the cornea to generate stain. The OCT system is used for imaging for the cornea, and interference spectrum information obtained by the imaging system is used for obtaining the strain distribution of the cornea along with the depth changes through a phase sensitivity algorithm; then two-dimensional or three-dimensional distribution diagram of all parameters of the cornea bio-mechanics can be reconstructed, so that elasticity imaging of the corner is achieved. The system can carry out two-dimensional or three-dimensional imaging on the anterior segment structure. The elasticity information plays an important role in the early diagnosis of the cornea disease, pre-operation estimation in the operation processing process, operative design, process simulation and post-operative evaluation, and is combined with the information of the anterior segment structure so as to provide the more complete basis for the diagnosis and the operative treatment of the ophthalmology disease.

A star map data based method for measurement of in-orbit precision of a star sensor. The single-frame static star map data obtained by the star sensor is utilized for measure the key performances such as in-orbit pointing accuracy and viewing angle of the star sensor; a quaternion estimation algorithm (QUEST), which converts the eigenvalue solution into the solution of a root of a fourth-order equation to speed up, is employed to obtain an optimal attitude matrix Aq; then according to the attitude matrix Aq and the identified n navigational stars, conducting back calculation to obtain the theoretical position of each navigational star on the image sensor, wherein the theoretical position is the theoretical point of intersection (xit, yit) of the primary optical axis of the star sensor and the interface; calculating the errors between the theoretical positions of the star points (xit, yit) and the measured actual positions of star points, wherein the actual star point position is the actual point of intersection (xi, yi) of the primary optical axis of the star sensor and the interface; and calculating a mean value of the errors and converting the mean value to an equivalent angle value, so as to obtain the precision of the star sensor. Compared to the commonly used in-orbit comparison method, the method provided by the invention eliminates the influence of the errors of time alignment and installation matrix between the star sensors, and reaches higher measurement accuracy.

The invention discloses an analysis method of high-speed compressible supercavity flow characteristics and belongs to the field of fluid mechanical engineering. The analysis method comprises the stepsas follows: step 1, establishing a geometric model; step 2, performing mesh division on the geometric model established in step 1 and a fluid computational domain; step 3, setting boundary conditionsand a computing method; step 4, performing secondary development through CFD software to realize compressible correction of physical attributes of water; step 5, conducting numerical computation analysis on the high-speed compressible supercavity flow characteristics; step 6, performing numerical simulation analysis and comparing a numerical simulation result with an experiment result to verify accuracy and feasibility of the analysis method. The high-speed compressible supercavity flow law and mechanism can be revealed, so that a theoretical foundation is laid for structural design of underwater high-speed navigation bodies, and the actual application engineering problems of the high-speed navigation bodies can be solved.

The invention provides a method for improving the processing efficiency of massive spatial data. The method comprises the following steps of: extracting a public operator, designing a public operator parallelization strategy, realizing public operator parallelization, calling the public operator, combining the public operator and the like. According to the method disclosed by the invention, a base and a common part in a spatial data processing process are used as the public operator and parallelization is carried out based on an MPI (Micro Processor Interface); the massive spatial data of millions of samples and hundreds of attributes can be processed on a data scale; an existing spatial data processing method cannot operate; meanwhile, the method can efficiently and accurately process, and job submission and parameter setting adopt a webpage to interact; and all computations are intensively and efficiently executed and finished at a server side, the pressure of a client is small and the operation is simple.

The invention relates to a turbine rotor blade accelerated life test load design method taking regard of flight damage. The method includes: 1) conducting frequency mixing treatment and rain flow counting on aeroengine flight missions and training subjects to acquire the frequency and time of each rotation speed cycle in actual flight, thus obtaining the load basic data of an engine within certain flight hours; 2) acquiring the temperature field and stress strain distribution of the blade under all states by finite element method, analyzing the blade static strength and endurance, and determining a lifetime testing part of the blade; 3) calculating the fatigue damage and creep damage of the blade testing part under a true flight load to acquire a ratio of creep damage and fatigue damage during rise and fall of a flight; and 4) designing a accelerated life test load spectrum of a full-size blade, and determining a conversion coefficient of the blade test load spectrum relative to out-field flight. The method provided by the invention can be used for acquiring the technical life of the blade and studying the remaining life of the blade, and saves time and economic cost for the fatigue-creep lifetime test of the blade.

The invention provides a method for determining the content of unfrozen water in a soil freezing process by using specific heat calculation. The method comprises the following steps: adopting the total heat of one temperature measuring point as the sum of soil particle heat, pore water heat, pore ice heat and heat released by phase change of water in soil; determining the physical properties of a soil sample by using indoor geotechnical test, and determining the phase change temperature range of the soil sample through freezing test; determining the specific heat of frozen heat at the corresponding temperature measuring point by using a calorimeter through mixed calorimetry; and expressing the four heats and the total heat by using the specific heat, deriving the unfrozen water content-specific heat function relation, and calculating to obtain the content of the unfrozen water at every temperature measuring point. The method for measuring the content of the unfrozen water has the advantages of simple operation and small test result error. General labs and construction units can use a simple calorimeter to measure and calculate the content of the unfrozen water.

The invention discloses a calculating method of gas well effusion volume, and is applied in the technical field of oil field gas production. The method includes that S1, a calculating device reads basic parameters and production parameters of a gas well; S2, the calculating device calculates the bottomhole pressure according to the read parameters; S3, the calculating device calculates the annulus fluid volume according to the read parameters and the bottomhole pressure; S4, the calculating device calculates the fluid volume in an oil tube according to the read parameters and the bottomhole pressure. In addition, the calculating device calculates the bottom fluid volume according to the read parameters and the bottomhole pressure. The gas-well total fluid volume can be figured out by adding the annulus fluid volume the fluid volume in the oil tube and the bottom fluid volume. Compared with the prior calculating method, the calculating method has the advantages that influences of yield on formation pressure and wellhead pressure are considered, so that calculation accuracy is improved significantly. The invention further discloses a calculating device of the gas well effusion volume and a determining method of gas well effusion discharging.

The invention provides a method for estimating charging remaining time. The method comprises the following steps: calculating the current remaining charging capacity of a battery; setting the charging process to be n charging stages, and charging the voltage of the battery to be voltage V1, V2 to Vn in sequence; setting corresponding charging current I1, I2 to In; judging the remaining charging capacities of the battery corresponding to V1, V2 to Vn respectively; calculating the quantity of electricity charged into the battery in each stage; detecting the current voltage value of the battery and judging the corresponding charging stage, and calculating the time required in each charging stage, and adding the time required in each charging stage so that the charging remaining time t of the battery can be obtained.

The invention provides a device and a method for measuring an axial diffusion coefficient of gas in a porous medium and belongs to the field of oil-gas field development. The device comprises a constant temperature oil bath (1), and a holder (2), a container (16) and a high pressure gas cylinder (11) which are arranged in the constant temperature oil bath (1), wherein a lead sleeve (4) is arranged in the holder (2) and is in a cylindrical structure of which two ends are open; a plug (3) is arranged at one end of the lead sleeve (4), and a plug (7) with a valve is arranged at the other end of the lead sleeve (4); an outer cylindrical surface of the plug (3) and an outer cylindrical surface of the plug (7) with the valve are in sealing contact with an inner surface of the lead sleeve (4); a sample cavity is formed in an inner cavity of the lead sleeve (4) between the plug (3) and the plug (7) with the valve; a porous medium (5) is arranged in the sample cavity.

The invention provides a method for calculating harmonic wave impedance of an alternating current system for direct current transmission. The method includes the following steps that a node admittance matrix is formed according to a harmonic wave model of a transmission line, a transformer, a generator, a load and a parallel capacitor; nodes to be calculated are placed at the bottom line of the admittance matrix, the current value at the bottom line is set to be 1, and the current values at other lines are set to be 0; node optimizing numbering is conducted on the first n-1 nodes; the node admittance matrix is stored through a sparse technology; the node admittance matrix is solved, and the back substitution does not need to be conducted; a plurality of input files are simultaneously calculated through a parallel calculation method; statistic analysis is conducted according to the batch processing calculation result. According to the method, specific to the characteristic that multiple times of scanning needs to be conducted for calculating the harmonic wave impedance, the improved node optimizing numbering technology and the improved sparse technology are adopted, and therefore the workload for calculating the harmonic wave impedance is reduced, the calculating speed is greatly increased, burdens of operators are relieved, and precious time can be saved.

The invention provides an attack intention recognition method based on Bayesian network inference. The attack intention recognition method is applied to the attack intention recognition of an intelligence and decision-making oriented system with a parameter learning mechanism in computer network self-organizing operation (CNSOO). The method can enable an intelligence system to recognize the attack intention of an attacker by using IDS (Intrusion Detection System) alarm information according to given host vulnerability information, network topological information and attack knowledge base and supply the attack intention to a decision-making system as a decision-making basis in a CNSOO environment. The attack intention recognition process comprises the following steps of: generating attacking scenes, fusing and matching IDS alarm information, updating conditional probability distribution caused by attacking behaviors, calculating the probability of attack intention nodes by using a clique tree propagation algorithm in the Bayesian network inference, and updating Bayesian network parameters and IDS detection capability. The calculation parameters are updated according to calculation results and historical information, so that the calculation results can be more accurate.

The invention discloses a directional application method based on user gender distinguished results and a system thereof. A relationship of gender inclination and behavior data is calculated and obtained through behavior data and genders of sample users, and then the gender inclination of all users can be obtained according to the collected behavior data of all users and the relationship of the gender inclination and the behavior data. Real, impersonal and complete behavior data of the users is used for distinguishing internet user gender, and calculated results are accurate and reliable. Under the conditions that real gender information of the users is lost and false, accurate user gender information can be obtained. The directional application method based on the user gender distinguished results and the system enable accurate rates and efficiency of directional application to be greatly improved, wherein the directional application such as individuation search, individuation recommendation and advertisement targeted delivery is based on different genders of the users, and efficiency of internet individuation application can be improved.