242 results about "Theory model" patented technology

The invention discloses a method for analyzing high precision 4D flight trajectory of an airplane based on real-time radar data, comprising the following steps: establishing a 4D fight trajectory theoretical model based on the airplane performance; establishing a 4D fight trajectory empirical model by mining and analyzing based on the historical fight trajectory data of the airplane types in the above step; combining the theoretical model and the empirical model and quantizing various influencing factors in the flight process into adjustable parameters; and correcting the 4D flight trajectory mixed models by radar data to form the final flight trajectory of the airplane. The invention takes the airplane performance into consideration and establishes the theoretical model by performance library parameters on the basis of a standard flight procedure, thus having high reliability; the invention forms the empirical model by analyzing the historical data, thus having high reality; the invention generates the 4D flight trajectory most similar to the actual flight and can adjust the parameters to form a plan trajectory aiming at the environment of each flight, thus high sensitivity; and the invention correct the plan trajectory by introducing the real-time radar data, thus having high accuracy.

The invention discloses a measurement data processing method for pose measurement and adjustment in digital assembly of large-sized parts, comprising the following steps: comparing the current pose of a digital theory model matching assembly part according to actually measured data; and calculating actual optimal target assembly poses according to the current pose. The position of each critical characteristic on the part and corresponding detection points of each assembly detection item are measured by using a laser tracking instrument. Measurement data after processed by the method can provide accurate assembly position and pose data and positioning adjustment parameters for a large-sized part digital flexible assemble system, and the optimal assembly effect of parts is achieved by matching real-time measurement.

The invention provides a wind turbine set gearbox remote online state monitoring and life assessment method. The method comprises the following steps: (1) a remote center computer collects a real-time operation parameter, temperature data and vibration data of each wind turbine through SCADA; (2) through analyzing the characteristic values of signal time domain and frequency domain, whether a vibration sensor has a fault or not is diagnosed; (3) the data is subjected to normalization process, a difference between data is reduced, and the diagnosis precision is raised; (4) when the fault of a wind generator set gearbox is diagnosed, different filtering modes are employed for different algorithms to extract the corresponding characteristic; (5) the collected data is subjected to characteristic extraction; (6) the fault diagnosis is carried out to provide the fact that whether the fault exists or not and the degree of the fault; (7) the residual life of the failed gearbox is estimated through a gray theory model, and an autoregression model is established for the residual error of the predication result to raise the predication precision. According to the method, the real-time estimation of the residual life is realized, and a basis is provided for the planned maintenance of the wind turbine set.

The invention relates to the field of detection on an earth fault of a sheath of a single-core power cable, in particular to a system and a method for detecting the earth fault of the sheath of the single-core power cable on the basis of circulation measurement. Circulation detection is carried out on the sheath of the cable in three earthing modes of single-end earthing, double-end earthing and cross interconnection earthing. Firstly, transformation of additionally arranged switching elements for various earthing boxes of the cable is carried out, so that each earthing mode can be conveniently and safely converted into the single-end earthing mode in the measuring process; then in the state, a circulation value of the sheath is measured; and according to a circuit theory model of a fault sheath circulation loop and experimental data in the single-end earthing mode, circulation characteristics at different fault earthing points are obtained so as to carry out fault judgment and positioning. In the whole process, the detection is simple, the calculated amount is small, and online detection can be realized.

The invention discloses a high-temperature creep deformation prediction and creep damage analysis method for a high-chrome steel component. The method comprises the following steps of: establishing a theoretical model, determining material parameters, designing a numerical integration algorithm, carrying out the secondary development of finite element software, carrying out the creep damage analysis of the component and the like. Compared with an existing technical scheme, the method disclosed by the invention is characterized in that a great improvement is carried out, the accurate prediction of the creep behavior and the creep damage of the high-chrome steel component can be realized, and therefore, the method has an important application value in the fields of the security design and the residual life evaluation of high-temperature high-pressure components in a supercritical generator set.

The invention discloses a stress sensitive reservoir stratum relative permeability calculation method based on a fractal theory. The stress sensitive reservoir stratum relative permeability calculation method comprises the following steps: firstly, establishing a reservoir stratum permeability dynamic change model with stress sensitivity by using experimental data; and secondly, substituting the reservoir stratum permeability dynamic change model into a fractal theory model and inducing a relative permeability curve considering the reservoir stratum stress sensitivity. The stress sensitive reservoir stratum relative permeability calculation method can be used for a loose sandstone oil and gas reservoir with a smaller burying depth and difficulty in coring, and also can be widely applied to an oil and gas reservoir stratum with the stress sensitivity; and a relative permeability experiment is replaced and the coring and experimental expenditures are reduced.

The invention relates to a method for registering a complex curved surface. A system in the method comprises a curved surface CAD design model, a three-coordinate measuring machine and a registering solver, wherein the curved surface CAD design model comprises geometric information of the curved surface; after the geometric information of the curved surface is extracted, a curved surface NURBS model is constructed; the three-coordinate measuring machine detects a curved surface real object prototype, and acquires measuring point data; and the registering solver registers the measurement data of the curved surface NURBS model and the curved surface real object prototype by adopting a genetic algorithm. Compared with the prior art, the method has the advantages of accurate theory model, high registering stability, good registering accuracy, capability of achieving multidimensional variable registrations, and wide application range.

The invention discloses a remaining life prediction method based on two-stage random degradation modeling, and belongs to the field of industrial monitoring and fault diagnosis. The method mainly comprises the step of off-line modeling and the step of on-line parameter updating and remaining life prediction; wherein the step of off-line modeling comprises the substeps that historical degradation data is collected; maximum likelihood estimation is used for obtaining a change-point estimation value of each group of degradation, and the distribution characteristics of change-points are obtained through statistic analysis; two-stage degradation model parameters are identified offline on the basis of an expectation maximization algorithm; the offline obtained parameter estimation values and statistical characteristics of the change-point distribution serve as prior information of online parameter updating; the step of on-line parameter estimation and remaining life prediction includes the substeps that degradation data is collected online; online updating based on Bayesian theory model parameters is conducted; the remaining life of currently running equipment is estimated based on the updated parameters. According to the method, the degradation data with two-stage characteristics can be modeled, and the remaining life of the degradation data can be accurately predicted.

A functional coverage based test generation technique for pipelined architectures is presented. A general graph-theoretic model is developed that can capture the structure and behavior (instruction-set) of a wide variety of pipelined processors. A functional fault model is developed and used to define the functional coverage for pipelined architectures. Test generation procedures are developed that accept the graph model of the architecture as input and generate test programs to detect all the faults in the functional fault model. A graph model of the pipelined processor is automatically generated from the specification using functional abstraction. Functional test programs are generated based on the coverage of the pipeline behavior. Module level property checking is used to reduce test generation time.

The invention relates to a general recommendation method and a system based on object tags. The general recommendation method the based on the object tags comprises the following steps of obtaining a user tag and candidate recommendation object tags; obtaining correlation between the user tag and the candidate recommendation object tags; and choosing candidates and recommending the candidates to a user according to the correlation. The invention provides a unified object correlation calculation method based on the object tags and a general recommendation theory model based on the correlation calculation, and a practical recommendation system is built to prove the validity of the method. The general recommendation system can be applied to almost all the personalized recommendation occasions and part non-personalized recommendation occasions, and has the advantages of being general in data, easy and convenient to deploy, and flexible to expand, and can be deployed and used very conveniently.

The invention discloses a scheduling method for an export container wharf pile-up space. Two-stage modeling is performed from plan allocation to dynamic allocation. At a pre-allocation stage, a block plan is researched, and the follow-up dynamic allocation is guided by the block plan. In the block plan, a block allocation model based on the ecological neutral theory is proposed. According to the block allocation model, container blocks are abstracted as islands, and container groups are abstracted as species, and thus, a process of allocating the container groups to the container blocks is escaped into a process that ecological selection is performed on the islands by a plurality of species. Based on the block allocation model, by aiming at the characteristic of the block plan problem, the block allocation model is optimized by the scheduling method for the export container wharf pile-up space, and an improved ecological neutral theory model is proposed. At a dynamic allocation stage, yard bay allocation and container space allocation are combined, solving is optimized by bi-objective combination, and a combination cellular automaton model is proposed. According to the combination cellular automaton model, the yard bay allocation is abstracted as an external cellular model, and the container space allocation is abstracted as an internal cellular model.

The invention is a method and device for measuring fiber compression flexural performance, refers to the measurement for cotton, fur, silk, hemp and chemical fiber, and other high performance fiber or fiber type material. The invention includes a force-shift measuring mechanism made up of high precision micro force sensor, multifunctional upper grip holder and the subjacent holder which can move in parallel and vertically, it can acquire the head end stress of fiber and fiber axial deformation data and simulate the puncture effect of human skin. The invention uses optical system to realize the synchronization, changes the deformation under pressure of fiber axial into digital image to be processed, acquires the fiber fineness, holding length, flexibility and curvature of each point and shift, and controls the measured parameter through the computer real-time collected data, measures the real-time pressure, flexibility, fiber bending shape and so on deformation curve and relative character parameter through theory model and algorithm software. It especially applies to axial compressing and bending performance measurement of convex fiber with diameter of 5-200ª–m and length of 1-25mm, and the stretching measurement of fiber with length of 0-150mm.

The invention discloses a hospital human resource quantitative configuration method based on a queuing theory model. The configuration method of the queuing theory model comprises four basic structures: an input procedure, service time, a service window and a queuing rule; and the method mainly comprises the following steps: step one, performing workload statistics and questionnaire survey, wherein the statistics index is the working hours and total medical consultations, and the questionnaire survey content is the medical staff acceptable maximum working strength and patient bearable longest waiting time; step two, measuring basic parameters by use of a work-hour measurement method: a service counter number C, an average arrival rate lambda and an average service rate mu; step three, establishing the queuing theory model, analyzing the data by use of the queuing theory analysis model; step four, outputting the following outcome indexes: the working strength rho, an average waiting number Lq, an average staying number Ls, average waiting time Wq, average remaining time Ws, an idle probability Po and a waiting probability P; comparing various data indexes, and regarding the service counter number C satisifying that the working strength rho is less than one and meets the medical staff working strength and the patient waiting time as an optimal data result. The method disclosed by the invention has the advantages that the quantitative configuration problem of the medical staff is effectively solved, and the scientific reference is provided for improving the service effect.

The invention is suitable for the technical field of health control and provides a psychological pressure assessment method and apparatus. The method comprises the steps of collecting sample data, and constructing a feature data matrix, wherein the sample data specifically comprises physiological feature data, psychological feature data such as stress scale and the like, basic information of an individual and the like; performing preliminary assessment on the physiological feature data and the psychological feature data by a fuzzy C-mean algorithm and an ordered weighted arithmetic mean operator to obtain respective classification identification results; performing secondary classification whether the results are benign or not for the classification identification results in which psychological pressure exists according to a decision layer fusion model, and outputting secondary classification results in which the psychological pressure exists; and taking the secondary classification results as statistical model inputs, and obtaining a quantized value of the psychological pressure of the individual according to a pressure system theory model-based Cylinder pressure quantization function. According to the method and the apparatus, graded quantitative assessment of the psychological pressure is realized.

The invention discloses an abrasive particle flow field analysis method based on a CFD-DEM coupling model. The method comprises the following steps of (1) building and solving an abrasive particle processing-oriented fluid phase control equation set, (2) solving an abrasive particle motion equation through a DEM theory according to a solution result achieved in the (1) step, (3) updating a position of the abrasive particles in a flow path according to the abrasive particle motion equation, and solving a new volume fraction and action force applied to the abrasive particles, (4) substituting a new fluid volume fraction and the action force applied to the abrasive particles to the (1) step for a new round calculation, continuously updating speed and position of each abrasive particle in a circulating way according to the above calculation process to evolving the whole abrasive particle flow processing system to achieve an abrasive particle flow motion rule. A method combining a computational fluid mechanics model and a discrete element theory model is introduced to the abrasive particle flow processing field; precise analysis can be conducted to abrasive particle movements; and abrasive particle processing technology parameters can be accurately adjusted and controlled.

The present invention discloses an electric taxi charging station planning method based on demand analysis. The method comprises the steps of: employing a cluster analysis method and a P-median modelto perform analysis of demands of taxis in a region, and determining construction distribution sites of charging stations in the region; and employing a logit model to simulate probability behaviors of the taxis selecting the charging stations, employing a queuing theory model to calculate average queuing waiting time of each charging station, and determining one construction scale of each charging station according to the average queuing waiting time of each charging station. The charging station planning method based on the demands of electric taxis employs the P-median model to perform optimization addressing of the distribution sites of the charging stations and employs an M/G/c model, configured to more accurately reflect charging features of the taxis in the stations, in the queuingtheory to solve the charging station capacity configuration problem so as to determine a charging station optimization planning scheme, and therefore the method provided by the invention is effectiveand practical.

The invention provides an embedded system based dynamic disc power management method, which divides the state of a disc on a dynamic power management structure by expanding magnetic disc power management on the dynamic power management structure and sets contents in a command register of a disc controller by reading and writing I/O ports so that the magnetic disc is switched from a high power consumption state to a low power consumption state. The invention provides a method for changing disc state based on reading and writing the disc register and also a method for acquiring disc loading by reading and writing I/O requests; in addition, the invention realizes disc strategy optimization by using a renewed theory model algorithm and verifies the favorable performance thereof by experiments. Therefore, a method for realizing dynamic disc power management is completely provided.

The invention discloses an indoor positioning method and an indoor positioning device. The method comprises steps: multiple beacon nodes with known coordinates are arranged; based on an indoor RSSI ranging experiment, a transformation relation between the RSSI value and a distance is built; coordinate data of one or more beacon nodes are sent to an unknown node; and according to the RSSI value of each beacon node detected by the unknown node, the received coordinate data and the transformation relation, coordinates of the unknown node are determined. The problem that the indoor positioning method in related technology is low in accuracy is solved, specific coordinates can be positioned, the corresponding relation between the RSSI and the distance in positioning ranging is obtained through experimental data field acquisition in an indoor scene in need of positioning, the relation is more in line with the actual condition of the indoor scene, and more accuracy is achieved than using a wireless signal propagation theoretical model.

The invention discloses a method for improving magnetron-sputtered film thickness uniformity. An optimum correcting baffle is arranged between two planes of a substrate and a target. The centers of the substrate, the target and the correcting baffle are coaxial. A baffle theory model relatively close to actual situation is created, and baffle parameters for realizing optimum film thickness uniformity are calculated. The method reduces the deposition rate of a position close to the circle center on the substrate to a certain extent, thereby optimizing and improving the uniformity.

The invention discloses a queuing theory-based data transmission bandwidth prediction method in the intelligent power distribution and consumption business, aiming at the problem that a great deviation exists between a predicted value of a bandwidth and an actual demand value easily caused by the traditional bandwidth prediction method. The method comprises the following steps of firstly acquiring intelligent power distribution and consumption business QoS (quality of service) requirement parameters from an application layer as basic data for bandwidth prediction, and converting the QoS parameters of an upper layer into queuing theory model parameters through the queuing theory; secondly determining a queuing theory-based transmission bandwidth prediction model according to the QoS constraint condition of the electric power telecommunication business, and meanwhile converting the prediction model into a linear constraint nonlinear programming solving model to obtain the optimal solution; finally obtaining a smallest predicted transmission bandwidth capable of ensuring the QoS requirement of the system business. According to the method, the predicted band width is obtained by modeling and solving through intelligent power distribution and consumption business QoS parameter mapping and the queuing theory, so that the bandwidth prediction deviation is reduced, and the system bandwidth utilization rate is optimized.