232results about How to "Strong engineering application value" patented technology

The invention discloses a dispatching end grid fault diagnosis method based on wide-area fault recording information. The method comprises the following steps that when a grid breaks down, fault data of a primary system of the grid are recorded according to a certain sampling frequency mode and are sent to a dispatching main station end through a fault recording networking system; the mapping relation between a basic data platform of grid equipment and a fault recording system is established through CT identification; different sampling frequencies of a fault recorder are unified to be the same sampling frequency according to an interpolation method; a differential-current out-of-limit value is set and independent grid equipment serves as a calculation unit to carry out differential-current calculation; whether the differential-current value is out of limit is confirmed to position fault places and confirm protection actions. The dispatching end grid fault diagnosis method has the advantages of solving the key problems that sampling frequency of the fault recorder is different and data are hard to synchronize, and achieves fault diagnosis application functions such as system operation state monitoring, protection behavior analyzing and accurate fault positioning through the fault recording information only.

The invention provides an inertia / astronomy / satellite high-precision integrated navigation system and a navigation method thereof. The inertia / astronomy / satellite high-precision integrated navigation system comprises a sensor module, an integrated navigation resolving module and a real-time display module, wherein the sensor module is sequentially connected in series with the integrated navigation resolving module and the real-time display module and comprises an inertia sensor, a star sensor and a satellite receiver; the integrated navigation resolving module comprises a four-step Runge-Kutta strapdown navigation resolving module, an astronomy attitude determination resolving module, an unequal-interval Kalman filtering module and a position and speed compensation algorithm module; and the real-time display module comprises a three-dimensional real-time display module. The navigation method realizes the real-time acquisition of sensor data, utilizes the inertia sensor data to carry out strapdown navigation resolving based on a four-step Runge-Kutta algorithm and can carry out the integrated navigation resolving on the inertia sensor data, star sensor data and satellite receiver data and carry out the real-time three-dimensional display on an integrated navigation result by utilizing a projection algorithm.

The invention relates to a power distribution network health index assessment method comprising the following steps: 1, determining power distribution network health index connotation and purpose; 2, determining a power distribution network health index assessment object; 3, determining a power distribution network health index assessment index system; 4, evaluating a transformer and distribution equipment health index; 5, evaluating the power distribution network health index. In a long term, the reliability research pays more attention on a single device at certain moment, a single section (static state), a fault result, and a cause and effect relation; the novel method provides a colony equipment and network health index assessment method, can study the colony equipment and network dynamic health level and power supply reliability, can guide power distribution network planning and operation unkeep asset management, can provide equipment and network health status quantification analysis, and macroscopic and microscopic are combined to provide base theory and practical technical means.

The invention provides a time-frequency transform based method for identifying parameters of a synchronous generator. The method includes steps of S1. carrying out Laplace transform on a differential equation of a d axle and a q axle of a generator in time domain in a generator model to obtain an equation of the d axle and the q axle of the generator in frequency domain, and carrying out inverse Laplace transform to obtain an integral equation of the d axle and the q axle of the generator in the time domain; S. replacing state variable of the integral equation of the d axle and the q axle of the generator in the time domain; S3. dispersing the integral equation of the d axle and the q axle of the generator in the time domain into that measurable column vectors or integration of the measurable column vectors are equal to a matrix multiplying by column vectors of coefficients of the integration equation, and solving to obtain the column vectors of the coefficients of the integration equation; and S4. solving to obtain parameters of the generator model according to the relation between the column vectors of the coefficients of the integration equation and parameters of the generator. A differential equation of a generator is converted to an integration equation according to the time-frequency transform based method for identifying the parameters of the synchronous generator, stability of calculating a value is facilitated, and the problem of an unstable identification result is solved.

The invention provides a design method for a threshold value and an envelop wire of a near-earth alarm system, and aims at improving limitation in design of the threshold value and the envelop wire of the existing near-earth alarm systems. Probability of generation of earth collision danger in the flight process is calculated via comparison of landform height and flight track height on the basis of establishment of a landform height statistic model and a state transfer model; and the design method for the threshold value and the envelop wire of the near-earth alarm system is provided in combination with performance analysis of the near-earth alarm system so that timely and effective alarm information with low false alarm rate is provided for airplanes.

The invention discloses a method for automatically recognizing a target at medium and low altitudes and positioning a carrier with high accuracy and belongs to the field of scene matching guidance. The method comprises the following steps of: extracting a constant algorithm and establishing an H model based on an image scale characteristic to match and recognize targets and provide a high-accuracy navigation information source; coordinating and planning relative parameters according to a matching result which is fed back in a self-adaptive mode to further control matching performance; researching integral image-based average filtering which generates an image multi-scale space instead of Gauss convolutional filtering so as to increase a matching speed; establishing an image space transformation model which adapts to the strong matching capability of the algorithm based on the thought of random sampling consistency according to an image matching result; and eliminating accurate positioning pixels of wrongly matched points based on the model to recognize the target and provide the high-accuracy navigation information source through model mapping, and simultaneously, selecting a digraph of known transformation parameters to verify the performance and the result of an image matching algorithm according to the transformation model.

The invention discloses a maneuvering extended target tracking method based on unscented Kalman filter, and belongs to the field of radar maneuvering target tracking. The method comprises the steps that according to characteristics of high-resolution range profile measurement information and a maneuvering characteristic of an extended target, and by utilizing various maneuvering modes which support functions to precisely describe the extended target, and finally based on a combination of the unscented Kalman filter and a multiple model algorithm, joint tracking of motion states and extension forms of the extended target is achieved. According to the maneuvering extended target tracking method based on the unscented Kalman filter, high-resolution radar range profile measurement information can be fast and precisely utilized, and precise joint estimation is conducted on the motion states and the extension forms of the extended target. Engineering is easy to achieve, and the method has a strong engineering application value and a popularization prospect.

The present invention discloses mechanical process of preparing composite nanometer ceramic / micron metal powder. The composite nanometer ceramic / micron metal powder is prepared with marketable micron and nanometer powder as material, and through establishing the theoretical model of the weight ratio between the micron powder and the nanometer powder, preparing stable suspension of nanometer ceramic powder, mixing the nanometer suspension and the micron powder, and mechanical compounding. The process has simplicity, short treating time, easy control, continuous production and other features, and is suitable for engineering application.

This invention discloses a combined simulation method and a device for dynamic performance of trains and their circuit system, which utilizes a visual technology of computers to simulate various dynamic performances of stability, smoothness and curves of trains running on the circuit and simulates the operation state of any train at any circuit in carriages, trucks and various shaft locomotives and displays the moving state in three-dimension scene.

The invention provides a speed sensorless control method for a doubly-fed wind turbine generator system. According to the control method, sliding-mode control and model reference self-adaption control are organically integrated, the stator current measurement value of a doubly-fed wind generator is selected to serve as a reference model, a stator current adjustable model can be obtained through stator flux linkage and the rotor current, a sliding-mode face is constructed through the cross products outputted by the two models, the rotor position and the rotating speed are obtained through the sliding-mode algorithm, and then the vector control strategy of the doubly-fed wind generator is achieved. The control technology algorithm is simple, cost of the generator can be reduced, complexity of hardware can be lowered, and the speed sensorless control method has high robustness for parameter changes and load disturbance of the doubly-fed wind generator, is high in reliability and easy to implement and has great engineering application value.

The invention discloses a preparation method of a magnetic wave absorption patch shrinkage simulation composite material. The method comprises the following steps: step 1, in a given thickness range, calculating a bevel reflectivity of the simulation composite material of different formulas at a shrinkage frequency, finding out the simulation composite material with the bevel reflectivity most approximate to that of a magnetic wave absorption patch prototype material under a prototype frequency, and determining the formula of the simulation composite material; step 2, weighing electromagnetic particles and binders; step 3, charging, and mixing; step 4, vulcanizing to obtain a vulcanized sheet; and step 5, thermally treating the vulcanized sheet to obtain a magnetic wave absorption patch for shrinkage simulation. By adopting the preparation method, the problems that the electromagnetic parameters of electromagnetic particles are difficult to test, the influence of the shape and distribution form of the electromagnetic particles to the equivalent parameters of the material is difficult to calculate and the like can be avoided, the accurate calculation of the equivalent electromagnetic parameters of the composite material is realized, the formula is obtained by virtue of the optimized design of the bevel reflectivity, the engineering application value is high, and the method can be widely used for preparing the shrinkage simulation composite material.

The invention provides a data-based aero-engine complete machine performance decline assessment and prediction method. The method comprises the following steps: S1, selecting a measurement parameter related to engine complete machine performance decline as an evaluation parameter, establishing an engine complete machine performance decline monitoring index tree based on the evaluation parameter, and setting a weight index according to the influence degree of the evaluation parameter on the engine performance decline; S2, selecting evaluation parameters of different flight frames under the same working condition from the flight data of the same aircraft in one washing period to construct an evaluation sample; S3, taking the first data of the evaluation sample data as a reference, solving the distance between other data and the reference, and normalizing the distance data to define an engine complete machine performance decline index; and S4, using an algorithm based on an artificial neural network, and using the evaluation sample constructed in the step S2 and the recession index defined in the step S3 to construct an engine complete machine performance recession prediction model for engine complete machine performance recession prediction.

The invention discloses a specific differential integration matched transfer alignment of a stabilized sighting pod and a combination navigation method thereof, belonging to inertial navigation system. The alignment method comprises collecting signals of an inertial measurement unit; performing fast and accurate transfer alignment of the stabilized sighting pod; resolving inertial navigation based on pod stabilized sighting platform; performing error analysis, model establishment and supplementation of inertial navigation system and inertial components; and performing main inertial navigation / sub inertial navigation / GPS multi information variable structure combination navigation under the condition of pod flexible and rigid connection. The invention solves the problems of fast transfer alignment and navigation positioning of the stabilized sighting pod when taking off and flying in the air.

The invention discloses a method for predicting the wind speed of a wind power plant at a short term. The method includes the following steps that wind speed data in a period of time are acquired and reduced into a time sequence for analytical prediction; a carpet traversal search method is adopted, and based on a dynamic cubic exponential smoothing prediction method, dynamic smoothing coefficients are determined according to the criterion of the minimum error sum of squares; the determined dynamic smoothing coefficients and the dynamic cubic exponential smoothing method are utilized to conduct one-step or multi-step prediction; the rest is conducted in the same way, new historical data are acquired, the smoothing coefficients are updated, and the later wind speed prediction continues to be conducted. According to the method for predicting the wind speed of the wind power plant at the short term, the characteristics of local historical wind speed are comprehensively considered, and the prediction effect is good.

The invention provides a measuring and calculating method for a modulation transfer function of a satellite-borne camera, and relates to the technical field of space optics. According to the method,the problem that according to an existing method that a modulation transfer function is measured and calculated through point light sources, a parametric model is needed for approximation and fitting. Firstly, multiple point light source targets are laid before satellite transit, then images corresponding to point light sources are intercepted in captured images, after the background luminance value is removed, a two-dimensional point spread function is directly solved by the adoption of a regularization solving method according to an imaging mathematical model, and finally a modulation transfer function is calculated through the point spread function. The measuring and calculating method is easy to implement, the data processing process is simple, convenient and precise, and the method has a great significance in imaging quality assessment of the satellite-borne camera and has broad application prospects.

The invention belongs to the technical field of satellite communication signal processing. The invention particularly relates to a satellite amplitude-phase signal identification and demodulation method and device based on a recurrent neural network. The method comprises the following steps of: constructing a modulation recognition and demodulation network model for a training sample set and a test sample set, training the network model by utilizing the training sample set, checking the convergence degree of the trained network model by utilizing the test sample set, and storing the modulationrecognition and demodulation network model meeting a preset convergence requirement; Receiving a target signal, and preprocessing the target signal to obtain to-be-identified data consistent with theinput signal of the network model; And performing modulation identification on the to-be-identified data by using the stored modulation identification and demodulation network model, and performing signal demodulation by using a modulation identification result to obtain signal bit stream data. The method does not need to estimate the carrier-to-noise ratio of the target signal, overcomes the defects of manual determination of a threshold value and the like in a traditional method, is high in tolerance to signal frequency offset errors and timing errors, and has a very good engineering application prospect.

The invention provides a cantilever beam type vibration absorber with adjustable frequency. The cantilever beam type vibration absorber comprises a base, a cantilever beam and a mass disc, the lower end of the base is fixed to vibration equipment, through holes are formed in the upper end of the base and the mass disc, internal threads are arranged in the through holes, external threads matched with the through holes are arranged on the cantilever beam, the cantilever beam is arranged in the through hole of the base and the through hole of the mass disc through the external threads, fixed nuts are arranged at the two ends of the through hole of the base and fix the position of the cantilever beam and the base, adjusting nuts are arranged at the two ends of the through hole of the mass disc and limit the relative position of the cantilever beam and the mass disc, the adjusting nuts are adjustable, that is, the relative position of the mass disc and the cantilever beam is adjustable. The vibration absorption frequency of the vibration absorber can be flexibly adjusted, and the adjustable scope is wide. Parts are easy to machine and replace. Compared with an electromagnetic type unable vibration absorber and an electrodynamic type tunable vibration absorber, the electromagnetic leakage phenomenon is avoided. The cantilever beam type vibration absorber is simple in structure, stable in work and easy to mount.

The invention provides a mine shaft well engineering surrounding rocks artificial intelligence stage division method which comprises the following steps: (1) establishing a nerve network model, (2) training a sample set, (3) carrying out network training and (4) carrying out network simulation. The invention has the following advantages: a network system is simple in operation, influence of artificial factors can be eliminated, an interaction relation between factors can be automatically found, and with regards to a shaft well project which lacks a deep part stage division experience, the system can solve stability stage division of a rock well under complex conditions of high ground stress, high underground water pressure, high ground temperature and the like at a shaft well deep part and has a strong engineering application value.

The invention relates to a power distribution network health index assessment engineering application system. The system comprises a power distribution network health index assessment method layer, a platform layer and an application layer. The system considers a power distribution network equipment state, an operation condition and network topology, a load, safety and environment conditions and other key characteristic parameters, a power distribution network health index assessment method is established from two levels of equipment and a network, a power distribution network health index data platform and an assessment system are established on the basis, an application of health index assessment in power distribution network optimization planning and maintenance fields is achieved, power distribution network asset management can be effectively promoted to be lean, scientific and systematic, and a solid foundation is laid for active power distribution network construction.

The invention discloses a UWB assisted inertial positioning method based on a fault-tolerant decision-making tree. For the non-line-of-sight problem of errors of an inertial navigation system with time accumulation and UWB positioning and the gross error problem due to a multipath effect and human body influence. A gyroscope high-precision segmented fitting error compensation model is proposed andadopted, and inertial navigation error drift is inhibited; meanwhile, based on UWB assisted personnel indoor inertial positioning, a fault-tolerant decision-making tree judgment model having the combined action of inertial navigation and UWB single-point positioning data is constructed, gross error factors of UWB positioning are eliminated, thus extended Kalman filter is applied to inertial navigation and UWB parameter differences, UWB assisted enhanced inertial navigation positioning is achieved, long-time continuous and reliable positioning can be achieved, and the method has a very strongengineering application value.

The invention discloses a spatial non-cooperation target autonomous visual line rendezvous no-model preset performance control method, and the method comprises the following steps: 1), building a non-cooperation target autonomous visual line rendezvous relative orbit motion model in a visual line coordinate system; 2), defining a relative orbit control state quantity, and converting the relative orbit motion model into an affine form; 3), taking the exponential convergence speed, overshoot and steady-state error boundary as the constraints, and building a preset performance boundary function; 4), designing a relative orbit no-model preset performance controller; 5), designing a relative posture no-model preset performance controller. The method achieves the autonomous rendezvous control of a non-cooperation target with spinning and unknown maneuver. The method can achieve the high-precision and high-robustness autonomous rendezvous control of the non-cooperation target without the specific parameters of the model, and is higher in theoretical significance and engineering application value. In addition, the method greatly improves the safety of a rendezvous task of the non-cooperation target.

The invention discloses a technology and device for treating coking wastewater through an ozone catalytic oxidation combined biofilter. The technology and device are reasonable in design, low in operation cost, solve the problem related to advanced treatment and recycling of coking wastewater, and have a high engineering application value; the technology and device eliminate the unsafe factors for operators and potential risks threatening the health in a heavily polluted environment with coking wastewater, and are simple to operate and low in operation cost; the effluent water quality meets different water use requirements.

The invention relates to a wheel-rail vertical force continuous measurement method based on rail strain, comprising the following steps: a. one section of rail above a single sleeper is taken as an elastomer for measuring wheel-rail vertical force; b. two groups of appropriate strain outputs on a neutral axis of the elastomer are selected, slopes of all straight lines which are corresponding to different longitudinal action point positions of a sensing region of the elastomer and determined by the strain outputs under two sleeper support reference states are obtained on the same vertical force strain output plane; c. the strain output of passing through the sensing region of the elastomer of wheels is measured, the longitudinal positions of the action points of the vertical force are identified, negative values which are corresponding to the slopes obtained in the step b are taken as combination factors, the combined strain output is obtained by combining the selected two groups of strain outputs in the step b, and the combined strain output is unrelated with the sleeper support state; and d. the vertical force is obtained by the combined strain output of the effective measurement region. A measurement device comprises an elastomer selection unit, a strain selection and parameter obtainment unit, a longitudinal position identification and strain combination unit and an output unit which are connected.

A method describes the railway wheel track space dynamic contact state and the steps are as follows: a) generating the wheel and track surface according to discrete data points of the wheel and the steel rail profile; b) according to the preset running speed, working out the vibration displacement of wheel pairs and the steel rail at every moment and finding out the wheel space trace at corresponding moment through rail-track coupled system dynamics computing method; c) calculating the vertical distance between wheel space trace points and the steel rail and finding out left and right side wheel track contact points; d) marking left and right side wheel track contact points at every moment, and connecting the points on left and right side wheels and the points on the steel rail, that is to say, describing the railway wheel track space dynamic contact state. The method shows the complex railway wheel track space dynamic contact state in a visual, simple and more actual way, realizes the study and analysis on the railway wheel track dynamic contact geometrical relation, provides reference for the optimum design and manufacture of the wheel tread and the steel rail profile, and has great technical application value.

The invention discloses an integrated navigation information fusion method. The method is mainly divided into a GNSS satellite signal processing module, a SINS attitude, velocity and position updatingmodule, a SINS error compensation module, a SINS / GNSS information fusion module, a SINS error correction module and a result output module. According to the method, by means of high-frequency SINS attitude, velocity and position updating and low-frequency GNSS information measurement, the elevation angle and navigation information carrier-to-noise ratio of all visible satellites tracked by an integrated navigation receiver are combined, a SINS / GNSS integrated navigation Kalman filter observation noise matrix is adaptively adjusted in real time, by means of GNSS and SINS pseudorange and a pseudorange rate measuring value, an integrated navigation Kalman filter state equation and an error covariance matrix are updated, and finally by means of SINS and GNSS information infusion feedback, aninertial device measuring error is corrected. According to the integrated navigation information fusion method, the purpose that under the complex electromagnetic environment, the integrated navigation receiver completes robust information fusion resolving can be achieved, and the method has high integrated navigation receiver design theory value and engineering application value.

The invention provides a cluster system reliability evaluation method based on complex network, which mainly comprises the following steps: A, analyzing the evaluation object to construct a system network model; B, setting reliability index; C, setting a fault injection strategy for reliability evaluation; D, carrying out reliability evaluation and monitoring and recording performance indexes of that system; E: summarizing the change trend of performance index and analyzing the reliability performance of cluster system; according to the characteristics of the cluster system, the proposed reliability assessment method combines the concept of reliability with complex network, the index of sub-Dalian sub-cluster in complex network is used as the criterion to judge the collapse of cluster system, by randomly selecting the node injection fault of cluster system, setting the intensity and proportion of fault injection, calculating the size of sub-Dalian sub-cluster, when the sub-Dalian sub-cluster reaches the maximum, the system collapse is confirmed, and the reliability of cluster system is obtained by analyzing the intensity and proportion of fault injection when the critical collapseoccurs.

The invention discloses a method for determining the pile spacing of anti-liquefying vibrating-impacting crushed-stone piles. The method comprises the following steps of 1, judging the liquefied degree of foundation soil according to an in-situ test, wherein one or several methods in a, a critical standard penetration number method, b, a static sounding judging method and c, a shear-wave velocity method is or are adopted by the liquefaction judging method of the foundation soil; 2, determining the dry density needing to be reached by the foundation soil among the piles for eliminating liquefaction; 3, determining the pile spacing of the crushed-stone piles. According to the contrastive analysis of the on-site in-situ testing, the indoor test and the finite-element numerical-value analyzing results of the foundation soil before and after driving the crushed-stone piles, the anti-liquefying efficacy of the vibrating-impacting crushed-stone piles is comprehensive studied, and the method for determining the pile spacing of the crushed-stone piles is provided on the basis and on the basis of a compaction effect, so that pile-testing projects are omitted, the construction period is shortened, and the construction cost of the projects is lowered.

The invention relates to a seabed sound speed multi-step inverting method based on a dual-vector hydrophone. The method includes the steps of reestablishing a sound field green function between two points in the vertical direction through noise field vertical vibration velocity signals and extracting different multiplicity arrival structures to obtain the seabed layered structure and the relationbetween the sound speed and the thickness of each depositing layer, selecting a corresponding seabed model, and inverting the seabed sound speed through the vertical coherence characteristic of the noise field vertical vibration velocity signals. By means of the multi-step inverting method, it can be ensured that the selected seabed model is correct during inverting, and the guarantee is providedfor the accuracy of the inverting result. In addition, by means of the multi-step inverting method, the sound speed and the thickness of the seabed depositing layer can be represented with an inverting amount, the dimension of the parameter search space during inverting is reduced, and the inverting efficiency is improved.

The invention discloses a spacecraft attitude tracking low-complexity preset property controlling method. The method includes the following steps: firstly establishing a spacecraft attitude tracking motion model, presetting property index design, conducting non-linear mapping on an attitude tracking controlling model, and finally designing a model-free robust controller. According to the invention, the method can control spacecraft attitude tracking if an inertia matrix is unknown and unknown ambient interferences are contained. Since the designed controller does not rely on specific system model and has strong robustness, the model-free control method has more theoretical significance and high potential in engineering. According to the invention, the controller does not require calculation process with high complexities, such as parameter identification and iteration and optimization, and obviates the need for tedious parameter adjustment, so that the designed controller has low complexity. The low-complexity characteristic of the method enables the controller to conduct online calculation and better meet real-time calculation requirements for spatial tasks in nowadays.