247results about How to "Good engineering application value" patented technology

The invention discloses a video-based traffic information acquisition method. The method comprises the following steps: based on the image processing and the mode identification theory, setting a detection region and carrying out geometric correction, extracting the foreground object by Gaussian Mixture Model, identifying a target by a separator, matching the identification result with the foreground object, eliminating the detected false-alarm, fusing the particle filter algorithm and the vehicle detection algorithm to achieve the self-adaptive track of vehicles, achieving the effective target increase and target fusion on basis of the detection result, and finally achieving the calculation of parameters, such as flow statistics, speed, intensity, time occupancy ratio and the like. Furthermore, according to the detection track result; the microscopic traffic analysis on the target, such as the detection on illegally parked vehicles, retrogradation, and overspeed can be also carried out. At the same time, the traffic status, such as traffic congestion detection can be judged; and the queue length calculation under the congestion condition can be calculated. The method has the advantages of high accuracy and low computing complexity and can meet the requirement of the actual application.

The invention discloses a double-flexible-grinding-head magnetorheological polishing device. In the device, a vertical gantry of a bed body and an X-axis are both fixed on a horizontal base; a worktable is fixed on a sliding block of the X-axis; a Y-axis is fixed on a horizontal beam of the vertical gantry; and a first Z-axis and a second Z-axis are arrangedon the Y-axis in parallel. A large flexible grinding head is installed on the first Z-axis; and a small flexible grinding head is arranged on the second Z-axis. A high-flow circulation system connected with the large flexible grinding head and a low-flow circulation system connected with the small flexible grinding head are arranged on a trolley. A control cabinet is arranged at the rear part of the vertical gantry; and a circulation system cabinet and a cleaning system are arranged at the side surface of the vertical gantry. The double-flexible-grinding-head magnetorheological polishing device provided by the invention has the advantages of high accuracy, high rigidness, high stability and high dynamic property. The double-flexible-grinding-head magnetorheological polishing device not only can be used for processing of large-caliber phase elements, but also can be used for high-accuracy processing of large-caliber planar optical elements within the range of full caliber. The optimal matching of the processing efficiency and the processing accuracy can be realized.

The invention discloses a vehicle license plate recognition method based on extremal regions and an extreme learning machine. The method includes the steps that color images to be processed are preprocessed, vehicle license plate regions are roughly positioned, and multiple vehicle license plate candidate regions are obtained; based on the vehicle license plate candidate regions, the extremal regions of RGB color channels are extracted from the color images to be processed, the extremal regions according with the geometric attributes of vehicle license plate character regions are selected from a classifier, and the vehicle license plate character regions are obtained; a single implicit strata feedforward neural network based on the extreme learning machine is established through supervised learning, characteristic vectors of the character regions are extracted as input, and vehicle license plate characters are automatically recognized through the neutral network. The method has the advantages of being high in speed and precision and the like and can well deal with adverse factors such as complex backgrounds, weather changes, illumination influence and the like particularly in complex traffic environments. The defects of a traditional vehicle license plate recognition method in real time performance and robustness are overcome, and the method has significant application value.

The invention discloses a method for actively inhibiting the flexible vibration of a sun sailboard. According to the method, a stepping motor under sine and cosine subdivision drive is an executing mechanism, a satellite system dynamics model is established, after linear simplification is performed on the system dynamics model, the vibration frequency and the damping ratio of a system are calculated, an input former is designed to reshape an original sailboard rotating speed instruction, so that the system finishes sailboard rotating speed continuous drive and effectively inhibits the flexible vibration of the sailboard at the same time, and therefore influences on the load imaging quality by the flexible vibration of the sailboard are reduced. In addition, model parameter variation and design parameters do not have the strong robustness, compared with other sun sailboard flexible vibration control methods adopting piezoceramic materials, dampers and the like, adding of extra hardware devices is not needed, and engineering realization is simple.

The invention discloses a three-dimensional visualization simulation method directed at boundary element analysis. The three-dimensional visualization simulation method comprises reading in result documents output after the boundary element analysis; establishing vertex buffers and index buffers, and recording node coordinate information and node numerical value information into the vertex buffers and unit organization information into the index buffers to generate grid models, entity models, cloud models and reference coordinate systems; and performing rendering, three-dimensional operation or other operation synchronously on the models and the reference coordinate systems. The method processes the result documents after the boundary element analysis, only fundamental information of construction models and clouds is needed to be input, no special requirement exists for formats, and common business engineering software of Ansys, Patran, Sesam and the like can be used for providing input information. The method has a flexible processing mechanism, wide applicability and good practical engineering application values.

The invention discloses a method and system for integrated navigation of a laser inertial measuring unit and an odometer. The method comprises steps of: S1, collecting an odometer pulse number in N sampling periods at a normal operation condition, and solving a pitching installation drift angle and a course installation drift angle between the inertial measuring unit and the odometer; S2, establishing a state equation; S3, establishing a measurement equation, which comprises a measurement value 1 shown in the description being a displacement increment of the inertial measuring unit in a No. i sampling period under a navigation system, a measurement value 2 shown in the description being an odometer increment of the inertial measuring unit in the No. i sampling period, and a measurement value 3 shown in the description being a displacement projection of the inertial measuring unit under the navigation system; and S4, utilizing the state equation and the measurement equation, and performing Kalman filtering for correcting parameter errors of an inertial navigation system and a device in real time to complete integrated navigation. The invention further provides a system for realizing the method. By implementing the method and the system, an error of integrated navigation can be effectively corrected, and the accuracy of integrated navigation can be greatly improved. The method and system are particularly suitable for a situation when the inertial measuring unit is inclined at a large angle.

The invention discloses a method for predicting the remaining life of a multi-source data driven aero-turbofan engine. According to the method, the remaining life of the engine is predicted by completely utilizing monitoring data acquired by an engine sensor. The method comprises four steps of estimating multi-source monitoring data fusion and failure threshold values; modeling the degradation process of the engine and estimating parameters; describing the remaining life of the engine; and predicting the remaining life. Compared with the prior art, the method has the following advantages: multi-source monitoring data is fused on the basis of common main component analysis and Euclidean distance to extract the health index and the failure threshold value representing the operating state of the engine and solve the problem that monitoring data information in the traditional prediction method is utilized incompletely; the Wiener process with nonlinear drift is established to represent the aero-engine degradation process with uncertain degradation rate, and real-time on-line life prediction is conducted on the basis of the aero-engine remaining life distribution; and data support is provided for on-condition maintenance, the time on wing of the engine is increased, major accidents are avoided, and engineering application value is achieved.

The invention discloses a variable-air-rate air conditioner indoor temperature-humidity control method based on absolute humidity. For the summer working conditions, combined cascade double-closed-loop control is adopted for the temperature and humidity control; according to a humidity control link, the air supply dew point is changed by adjusting the opening of a chilled water valve through an inner ring, and the room humidity is adjusted by changing the dew point set value through an outer ring; according to a temperature control link, the air output is changed by adjusting a terminal air valve, and the temperature control is achieved; for the coupling between the relative humidity and temperature, dew point dehumidification is conducted by introducing the absolute humidity; and for the coupling phenomenon between a temperature control loop and a humidity control loop, different correction coefficients are introduced into the control loops for decoupling and coordination, and the unification of the comfort and economic energy saving are achieved.

The invention discloses a model for calculating the iron loss of a switched reluctance motor, and belongs to the technical field of the calculation and analysis of the iron loss of the switched reluctance motor. The model is a variable coefficient binomial calculation model; according to the model, by conducting the data analysis of the actually measured loss value of a ferromagnetic material under the conditions of different frequency and magnetic field intensity, the laws of a few key parameters such as hysteresis loss coefficient and eddy current loss coefficient varying with the magnetic induction intensity and frequency can be obtained, thus the iron loss of the ferromagnetic material at the time of sinusoidal alternating magnetization can be calculated. According to the magnetic induction intensity waveform non-sinusoidal special situation in the switched reluctance motor, the finite element method calculation is applied to obtain the waveforms of the tangential direction and radial direction magnetic induction intensity, changing with time, of each part of a motor, the Fourier decomposition is applied to decompose an non-sinusoidal magnetic induction intensity waveform into a list of sinusoidal waveforms, the variable coefficient binomial calculation model is adopted to calculate the iron loss of harmonic waves in each time, then the accumulation and summation is conducted so as to obtain a harmonic wave unit quality iron loss model after accumulating for (i)n( / i) times.

The invention relates to fault diagnosis of a reciprocated compressor and provides a large and small head tile fault diagnosis method of a reciprocated compressor connecting rod based on a simulated indicator diagram. The method comprises the following steps of: based on a numerical simulation method, carrying out numerical simulation to obtain an air cylinder pressure change rule of a reciprocated compressor under an actual work state; drawing the simulated indicator diagram; and calculating gas pressure on a piston. Reciprocated inertia force of a set is calculated according the rotating speed of the set and the mass of a reciprocated movement part; and a whole stressing condition of the movement part is calculated by combining the gas pressure on the piston, so as to obtain a cross head pin theoretical steering point and a stressing state of a connecting rod large head tile. The reciprocated compressor is used for an online monitoring diagnosis system to obtain an impact vibration signal of a cross head part; and the fault of a connecting rod small head tile is analyzed and diagnosed by combining the theoretical cross head pin steering point and the theoretical stressing state of the connecting rod large head tile. The method does not need to mount a dynamic pressure sensor, namely large and small head tile faults can be diagnosed; and the cost is reduced and the risk of instructing a power hole or mounting the dynamic pressure sensor is avoided.

The invention relates to a marine booster station site selection optimization method. The method comprises the following steps that an offshore closest point a of a marine booster station is obtained according to a coordinate of a land centralized control center; a gravity center point b of a marine wind power plant is obtained according to all coordinates of N draught fans, and a straight line L is obtained according to the gravity center point b and the offshore closest point a; multiple points c are preset on the straight line L, coordinates of the points c, a coordinate of the gravity center point b and a coordinate of the offshore closest point a are preset to be initial coordinates of the marine booster station respectively, and corresponding collecting power line layouts of the marine wind power plant are obtained respectively; when the total cost corresponding to one point c or the gravity center point b or the offshore closest point a is smaller than or equal to the preset total cost, the point is the optimal coordinate of the marine booster station. According to the marine booster station site selection optimization method, marine wind power construction conditions can be comprehensively considered, and the construction cost of the marine wind power plant is reduced to the maximum extent.

The invention discloses a switched reluctance linear motor magnetic circuit modeling method especially suitable for switched reluctance linear motors of various phase number structures and belongs to the field of switched reluctance linear motor modeling and controlling. The switched reluctance linear motor magnetic circuit modeling method is characterized in that all calculation formulas of reluctance components in six magnetic circuits at a rotor position xu where the central line of a rotor groove is aligned at the central line of a stator tooth, at a rotor position x0 where the front edge of a rotor tooth is aligned at the front edge of the stator tooth, at a rotor position x1 / 4 where the rotor tooth and the stator tooth are overlapped by one four of width of the stator tooth, at a rotor position x1 / 2 where the rotor tooth and the stator tooth are overlapped by one half of the width of the stator tooth, at a rotor position x3 / 4 where the rotor tooth and the stator tooth are overlapped by three fourths of the width of the stator tooth and at a rotor position xa where the central line of the rotor tooth is aligned at the central line of the stator tooth are combined to form a magnetic circuit model of a switched reluctance linear motor. A motor electric magnetic field finite element method does not need to be adopted to calculate magnetic characteristics of the motor, the method is suitable for the switched reluctance linear motors of various phase number structures, quick design, realtime simulation and realtime control of a switched reluctance linear motor system can be realized, and the method has good engineering application value.

The invention discloses a rapid retrograde detecting and tracking monitoring method under complex environment, and the method comprises the following steps of: extracting moving objective foreground from video frames through a inter-frame difference method, then calculating an optical flow field at each point from the strong corner set of future objectives to obtain the optical flow field set; judging whether a moving direction of the strong corner is within the set retrograde direction and its allowance: if so, recording these points, forming the retrograde point set, and giving a rapid detection warning, at the same time, precisely warning by tracking to judge whether retrograde events are occurred, obtaining the strong corner set required for being tracked, calculating the optical flow field set on each point, upon existence of the retrograde point set, finding out a tracking starting point corresponding to each point from the point set, and drawing up tracking paths; upon completion of tracking, when the amount of paths in a retrograde status is less than a decision threshold, judging rapid warning as a false alarm, otherwise, generating retrograde events. Tracking and precise warning are introduced into the method such that the accuracy rate of the retrograde detection is greatly improved.

The invention relates to a worn steel rail polishing target profile rapid design method. The worn steel rail polishing target profile rapid design method comprises constructing a parameterized model of a worn profile by means of a cubic NURBS curve; establishing a Kriging model of the worn steel rail polishing target profile performance by taking an adjustable weight factor of the NURBS parameterized model of the worn steel rail profile as the design variable and taking the wheel-rail contact stress and the wheel-rail dynamics performance index as dependent variables; establishing an optimization design model of the steel rail polishing target profile by taking the adjustable weight factor as the design variable and taking the Kriging model of the steel rail polishing target profile performance as the target function, and achieving the optimal design of the worn steel rail polishing target profile. According to the invention, the polishing target profile of any worn steel rail can be designed rapidly, and the worn steel rail polishing target profile rapid design method is characterized by being high in design efficiency and accurate in design result, and the problem that when a steel rail needs to be polished, the accuracy of the polishing target profile needs to be checked repeatedly by means of a numerical simulation method, and therefore the design efficiency is low is solved.

The invention discloses an airborne adaptive transmission alignment algorithm for deflection deformation of an airfoil, and relates to the technical field of aerospace strap-down inertial navigation.The airborne adaptive transmission alignment algorithm includes calculating an initial position, a speed and attitude information of a sub inertial navigation according to an airborne main inertial navigation information to carry out an inertial navigation strap-down calculation; and adjusting an observation noise Rk according to a flying height to carry out the alignment calculation of the sub inertial navigation. The adaptive of a filtering algorithm is realized, and the environment adaptive capacity and the alignment precision of a speed plus attitude matching algorithm are effectively improved. The algorithm is simple to implement, reliable in operation, good in rapidness and adaptability, and has better engineering application value.

The invention discloses an electromechanical-coupling-oriented calculation method for the performance simulation confidence degree of an active phased array antenna. The method comprises the steps that influence factors of the performance of the active phased array antenna are determined; an antenna finite element model is established; temperature field analysis is conducted, and the confidence degree of thermal parameters is calculated; the confidence degree of the grid size is calculated based on a root-mean-square error of array surface temperature; antenna structural thermal deformation is calculated, and position offset of geometric center nodes of antenna units is extracted; the confidence degree of structural displacement extraction is calculated; an electromechanical coupling model is used for calculating electric performance of the antenna; the calculation result is compared with a calculation result obtained through electromagnetic simulation software, and the confidence degree of the electromechanical coupling model is calculated; the weighting coefficient is determined based on an analytic hierarchy process; a confidence degree calculation formula is established, and the performance simulation confidence degree of the active phased array antenna is calculated and finally determined. The antenna performance simulation confidence degree calculation method is established, and a judgment criterion is provided for the simulating calculation result of influences of structural thermal deformation of the active phased array antenna on electrical properties.

The invention relates to a multi-level equalizing resonance zero current soft switch DC-DC converter. The DC-DC converter is composed of a direct current equalizing capacitor group and two-port DC-DC resonance soft switch conversion units connected with capacitors in the direct current equalizing capacitor group. For the converter with a level number of (m+1) (m is an integer and is more than or equal to 2, similarly hereinafter), the direct current equalizing capacitor group is composed of m direct current equalizing capacitors (Cm, C<m-1>,..., C2, C1) in series connection from top to bottom in order, and the potentials of the capacitors (Cm, C<m-1>,..., C2, C1) in the direct current equalizing capacitor group decrease from top to bottom in order. The capacitors in the direct current equalizing capacitor group are connected with at least (m-1) two-port DC-DC resonance soft switch conversion units. The DC-DC converter achieves capacitance and voltage self-balancing, all the switch tubes and diodes achieve zero current switching, the two-port DC-DC resonance soft switch conversion units work without affecting each other and independently mutually, and the whole converter system has characteristics of structure modularization and simple control mode.

The invention relates to a current probe-based on-line measuring system for high-frequency corona pulse current on high-voltage line, belonging to the fields of high voltage testing devices and measuring techniques. The measuring system comprises a power supply probe, a filtering loop, an A / D (alternative current / direct current) converter, an electro-optic converter, a photoelectric converter and a computer, wherein the power supply probe is used for acquiring a corona pulse original signal; the filtering loop is used for processing acquired signals; the A / D converter is used for carrying out A / D conversion on a filtering signal; the electro-optic converter is used for carrying out electro-optic conversion on a digital signal so as to convert the digital signal into an optical signal; the photoelectric converter is used for converting the optical signal into a digital signal; and the computer is used for processing the digital signal of the photoelectric converter so as to obtain a high frequency corona pulse current waveform. The measuring system can be arranged at different positions of a high voltage circuit so as to measure the corona current distribution situation on the high voltage circuit, and has outstanding engineering application values on further analyzing a corona current pulse characteristic and a transmission characteristic as well as hearable noises and wireless electric interference generated by the characteristics.

The invention relates to a multi-fault diagnosis method based on a correlation model. The method comprises the four steps of modeling the system correlation, obtaining a fault-test correlation matrixand a reduced correlation matrix, generating a multi-fault correlation matrix, and carrying out the multi-fault diagnosis, and comprises the steps that firstly, the system is modeled by relativity andthe fault-test correlation matrix is obtained; then, the correlation matrix is reduced according to the system test results, secondly, the logical OR operation is performed on each fault feature vector in the reduced correlation matrix to obtain the multi-fault correlation matrix; and finally, fault diagnosis is carried out based on multi-fault correlation matrix. Based on the correlation model and the test result, the invention can carry out multi-fault diagnosis on the system.

The invention discloses a model-free current control method for a permanent magnet synchronous motor (PMSM) applied to a permanent magnet synchronous motor control system comprising an inverter, a current sensor, a position sensor and a DC power supply. The model-free current control method is characterized in that a model-free current control comprises a quadrature-axis model-free current regulator, a direct-axis model-free current regulator, a coordinate transformation module and a space vector pulse width modulation module. The model-free current control method for permanent magnet synchronous motor can improve the dynamic and static performance of an electric vehicle PMSM drive system; and the PMSM drive system has high robustness, so that efficient and safe operation of the electric vehicle PMSM drive system is achieved.

The invention discloses a damping layer topology and reinforced rib layout collaborative optimization method for a reinforced plate shell structure, belongs to the technical field of topology optimization, and is used for solving the problem of passive vibration suppression of the reinforced plate shell structure. The method comprises the following steps: for the thin-wall plate shell structure comprising a surface damping layer and a reinforced rib layer, two types of independent design variables for describing ribs and damping topology are introduced respectively, constraints of the ribs andthe damping material consumption are considered, a damping layer and reinforced rib collaborative topology optimization model is constructed by taking minimization of dynamic response as a target, and optimal distribution design of ribs and damping of the thin-wall reinforced structure is realized. The invention provides a method for constructing a reinforced rib and damping layer layout collaborative dynamic topological optimization model. Compared with a traditional method for independently optimizing the layout of the reinforced ribs, and optimizing the layout of the laid damping materialsand the like, the method can obtain richer optimized layout results, the optimized layout results have good rigidity, vibration reduction and other mechanical properties, and a good engineering application value is achieved.

The invention discloses an air-gap asymmetrical switched reluctance linear motor magnetic path modeling method, particularly applicable to switched reluctance linear motors of various phase number structures and belongs to the field of switched reluctance linear motor establishing and control.The air-gap asymmetrical switched reluctance linear motor magnetic path modeling method is characterized in that a magnetic path model of an air-gap asymmetrical switched reluctance linear motor is formed by combining all calculation formulas of reluctance components in four magnetic paths at the active cell position xu where the central line of an active cell groove of the switched reluctance linear motor is aligned to the central line of stator teeth, the active cell position x0 where the front edges of active cell teeth are aligned to the front edges of the stator teeth, the active cell position x1 / 2 where the active cell teeth are overlapped with the stator teeth for one half of the width of the stator teeth, and the active cell position xa where the central line of the active cell teeth is aligned to the central line of the stator teeth without magnetic characteristic calculation performed by adopting a motor electromagnetic field finite element method.The method is quick in calculation, is suitable for the air-gap asymmetrical switched reluctance linear motors of various phase number structures, can achieve systematic and quick design, real-time simulation and real-time control of the air-gap asymmetrical switched reluctance linear motors and has a good engineering application value.

The invention discloses a maximum power tracking control method for a switched reluctance wind turbine system. An operation area of a wind turbine is divided into a constant power control area and a maximum power tracking area according to rotational speed-output power characteristic curves of the wind turbine at different wind speeds. A wind speed tracking control method is adopted in the constant power control area, and a control system observes the wind speed by the aid of a wind measuring device, then given power at the current wind speed is output according to the internally stored rotational speed-output power characteristic curves of the wind turbine at different wind speeds, and finally, the speed close to the maximum power point is quickly tracked through power closed-loop control. The system enters the maximum power tracking area after the power closed-loop control is stable. In the area, the system tracks the maximum power through variable-step climbing searching to realize rapidness and accuracy of tracking of the maximum power, and meanwhile, a stop measure and an error control mechanism are introduced to enhance the stability of the system. The maximum power tracking control method combines advantages of wind speed tracking control and climbing searching, so that the stability, accuracy and rapidness of the system are improved, and the method has good engineering application value.

The invention discloses a method for discriminating the type of a low frequency oscillation mechanism based on envelope fitting. The technical scheme comprises the steps of: first, acquiring an envelope of a dominant oscillation mode curve through oscillation data to be analyzed; then, carrying out discrimination on the periodicity of the envelope, thereby coming into different fitting determinations according to discrimination results; and finally, realizing discrimination of negative damping free oscillation, zero damping free oscillation, positive damping resonance and zero damping resonance according to fitting results. Compared with a technical scheme in the prior art, the method disclosed by the invention utilizes WAMS measured data, makes full use of envelope characteristics of various types of low frequency oscillations after extracting dominant mode signals through a digital signal processing method, and discriminates the type of the low frequency oscillation in a mode of fitting, the discrimination process is clear, the discrimination is precise and reliable, and the discrimination speed is high, thereby well meeting requirements for discrimination of the type of the low frequency oscillation, and having good engineering application values.

The present invention discloses a switch reluctance machine power converter correlation analysis and fault diagnosis method. The method collects the phase current information of the whole period of a switch reluctance machine power converter to take the mean value of the phase current signals as an opening fault characteristic quantity; and the phase current signals are moved to the same phase, and the obtained signals are subjected to denoising processing through the wavelet analysis. The correlation coefficients of the processed phase current signals in the related broken interval are configured to detect the short circuit faults and identify the fault phase; the correlation coefficients of the current signals in the phase opening interval are configured to locate the short circuit power device to complete the fault diagnosis of the power converter. The switch reluctance machine power converter correlation analysis and fault diagnosis method is suitable for switch reluctance machine power converters with a plurality of number of phases and a plurality of topological structures is accurate in diagnosis and good in engineering application values.

The invention provides a software-defined on-orbit satellite simulator system and a design method in the technical field of a satellite ground application system. The system comprises a radio frequency layer, an intermediate frequency layer and a software layer. The software layer can describe a specific service of a satellite, simulate an internal data stream of the satellite, generate satellite-ground interaction simulation data, and communicate with general baseband equipment of the intermediate frequency layer through a network to complete conversion between satellite service simulation data and an intermediate frequency signal. The intermediate frequency layer is responsible for realizing signal system simulation. The radio frequency layer is responsible for realizing frequency pointand power simulation, the intermediate frequency layer matches with the radio frequency layer to realize hardware simulation of a satellite radio frequency signal, a hardware platform of on-orbit satellite radio frequency signal simulation is provided, and the hardware platform adopts a general design. Function reconstruction of a satellite simulator is realized through software definition and changes, reusability and development efficiency of the satellite simulator are improved, development cost is reduced, and a good engineering application value is possessed.

The invention provides a satellite intelligent data transmission method based on remote sensing state estimation and a system thereof, and the method comprises the steps: estimating the satellite-ground data transmission link loss in real time according to uplink power detection and link model estimation; calculating the maximum data transmission capability of data transmission according to the satellite-ground data transmission link loss; identifying an interested remote sensing region through preprocessing target detection and hot spot region designation; adjusting a remote sensing data compression ratio and compression quality according to the obtained maximum data transmission capability and the data volume of the interested remote sensing area; caching the preprocessed target detection data, the original remote sensing data and the compressed remote sensing data, and selecting and storing data information needing to be downloaded according to the maximum data transmission capability and the interested remote sensing area data volume; reading to-be-downloaded data, and adjusting a satellite data transmission link according to the to-be-downloaded data volume and the transmission link loss. The code rate, the coding mode, the modulation mode and the transmitting power of the remote sensing data link are optimized, and the remote sensing data transmission capacity is improved.

The invention discloses a power transmission line parameter identification method based on PMU (phasor measurement unit) data, and aims to solve the problem of power transmission line parameter identification based on the PMU (phasor measurement unit) data. Compared with a direct parameter calculation method based on the PMU data, the method can weaken the influence of measured noise and provide more real line parameter identification results. The method includes the steps: firstly, preliminarily processing the PMU measured data in a certain time period; secondly, identifying single sampled sections one by one based on a weighted least square method to further remove non-convergent invalid sections in single section identification; thirdly, performing multi-section parameter identification for remaining valid sections to finally obtain parameter identification results of a power transmission line. Power transmission line parameter identification based on the PMU data can be effectively realized, and the method has a good engineering application value.