529results about How to "Strong engineering practicability" patented technology

The invention discloses a narrow gap welding monitoring and welding line deviation detecting method based on infrared vision sensing and belongs to the technical field of welding. An infrared vision sensing system comprises an infrared complementary metal oxide semiconductor (CMOS) camera, a filtering system, an image collecting card, a computer, a display and the like. Narrow gap welding arc light and molten pool radiation light are used as a light source, an infrared narrow belt filtering system is used for filtering interference signals and adjusting light intensity, and the computer collects and displays a welding image obtained through the infrared CMOS camera. An image capturing window is used for capturing an image away from an arc side, the image is processed, welding line deviation information is obtained by extracting a groove single-side edge, and a real-time property of welding line deviation detecting is improved while arc noise is effectively avoided. The system is simple in formation, clear in monitored image, high in welding line deviation detecting precision, strong in anti-interference capacity and good in engineering practicality and can achieve the purposes of real-time monitoring of narrow gap welding and synchronous detecting of welding line deviation.

The invention relates to a flexible satellite locus linearization attitude control method based on a disturbance observer. The invention aims at solving problems that a single locus linearization control method is poor in capability of inhibiting interference, is poorer in robustness, and does not consider external interference and the impact from flexible accessories. The method comprises the steps: employing Euler angles for describing attitudes of a spacecraft, employing an idea of equivalent disturbance, and building a flexible spacecraft dynamics and kinetics equation; solving the pseudo-inverse of a controlled object under the condition of neglecting equivalent disturbance, designing a quasi-differentiator of a specific type, and obtaining the nominal control of an expected locus; and designing a linear time varying adjuster through proportion-integration control. The method gives consideration to the influence of equivalent disturbance, designs the disturbance observer, and guarantees the asymptotic convergence of a tracking error of a flexible spacecraft. The method improves the anti-interference capability of a system, and improves the robustness of the system. The method is used in the attitude control field of flexible satellites.

The invention discloses a laser lap welding gap detecting system and a laser lap welding gap detecting method based on molten pool image visual sensing. The detecting system is a visual sensing system and comprises a CMOS camera, a light filtering system, a secondary light source, an image capture card, a computer, a display and the like, wherein the CMOS camera has a LinLog photosensory technology. According to the detecting method, the secondary light source and emitted light of molten pools are used as light sources; plasma is filtered out by utilizing the light filtering system, and light intensity is adjusted; the computer is used for collecting and displaying molten pool images in real time, wherein the molten pool images are obtained by the CMOS camera; molten pool image edges and areas and orifice image edges and areas are extracted and calculated by utilizing a Labview image processing platform, and the quantitative relations between molten pool sizes and orifice areas and between the molten pool sizes and orifice gaps are obtained. The detecting system is simple in structure, clear in monitoring image, high in light signal detecting accuracy, strong in anti-jamming capacity, good in engineering practicability and capable of monitoring laser welding of T-type overlap joint gaps in real time.

The invention relates to a load analysis method for a four-wheel six-component road spectrum of a finished automobile. The method comprises the following steps: 1 testing a four-wheel six-component road spectrum of a finished automobile; 2 collecting the design data of the finished automobile; 3 building and adjusting a dynamic model of the finished automobile; 4 carrying out virtual iteration; 5 obtaining Z-direction displacement of a wheel center; 6 decomposing the load of the finished automobile; 7 processing the load result. The six components of four wheel centers of the finished automobile are directly measured as external road excitation input; the actual stress condition of each wheel center under the typical characteristic road excitation of test site reliability is reflected; the technical effect of obtaining the load of the finished automobile system and spare parts is realized by a virtual iteration technique and a dynamics simulation technique; the anti-fatigue performance of the finished automobile structure can be accurately predicted and optimized at the earlier stage; problem rectification of the sample automobile stage is reduced; the research and development cycle is shortened; the research and development cost is also reduced.

The invention discloses a building method for the universal comprehensive models of single-rotor helicopters and turboshaft engines. The method includes the building of the non-linear models of a helicopter and an engine, the static trimming of the single-rotor helicopter and the turboshaft engine, the dynamic calculation of the single-rotor helicopter and the turboshaft engine and the actual operation solution of the single-rotor helicopter and the turboshaft engine, wherein the static trimming adopts the Levenberg-Marquarat algorithm, the dynamic calculation adopts the fourth-order Ronge-Kutta method to solve the motion equation system of the helicopter and the single pass algorithm to solve the dynamic balance equation of the turboshaft engine, and the actual operation state solution adopts a modified linear quadratic regulator algorithm to carry out helicopter solution and a cascade PID (Proportion-Integration-Differentiation) plus torque feedforward plus collective pitch compensation and torsional vibration filter method to carry out engine solution and load filtration. The method can meet the test requirements of the universal models and control methods of the single-rotor helicopters and the turboshaft engines, and plays an active role in helping to shorten the development cycle and reduce the test risk and the cost.

The invention belongs to a nondestructive detection technology and relates to an industrial scale ultrasonic automatic scanning and imaging detection device used for large-scale structures made of composite materials and metal materials in the fields of aviation, aerospace, electronics, weapons, ships, metallurgy, iron and steel, transportation, construction and the like. The detection device comprises an ultrasonic automatic scanning system, an ultrasonic automatic scanning control and imaging system and a multi-channel ultrasonic system. The design according to the invention adopts a multi-axis parallel numeric control upward floating type super-static steady scanning mechanism and an ultrasonic flexible self-adaptive tracking array acoustic scanning technology, thereby greatly improving the ultrasonic automatic scanning and imaging detection efficiency and the imaging quality of the large-scale structures, realizing the industrial scale high-efficient ultrasonic automatic scanning and imaging detection of the large-scale structures made of the composite materials and the like in different specifications and enabling the detection resolution and a surface blind zone to achieve 0.13mm; and when 20 channels are detected, the efficiency is improved by at least 50 times compared with the manual scanning detection efficiency, and is improved by 20 times compared with the traditional single-channel ultrasonic automatic scanning detection.

The invention belongs to the field of soil improvement, and specifically relates to a method for restoring organophosphorus pesticide contaminated soil. The method comprises the two phases of conditioning and stacking-decomposing, and chemical oxidation, wherein the phase of conditioning and stacking-decomposing comprises the following steps: 1) adding a strong-base medicament; 2) adding surfactant aqueous solution into soil prepared in the step 1); and 3) hermetically stacking the soil in the step 2) for 2-7 days; and the phase of chemical oxidation comprises the following steps: 4) adding a strong oxidant into the soil obtained in the phase of conditioning and stacking-decomposing; 5) preparing a strong acid into aqueous solution and adding the aqueous solution into the soil in the step 4), and rapidly stirring simultaneously to enable the soil to be weak-acidic finally; and 6) hermetically stacking the soil subjected to the adequate stirring treatment in the step 5), keeping the humidity of the soil and maintaining for 1-3 days. The restoration process of combining conditioning and stacking-decomposing with chemical oxidation, which is disclosed by the invention, is more stable and thorough compared with the method of restoring organic contaminated soil through simply and directly adopting chemical oxidation.

The invention discloses a landslide MIMO radar monitoring system and monitoring method. Emitting and receiving antennas of the system are an MIMO radar antenna array. Emitting and receiving time-sharing selectors are connected with emitting and receiving antenna array elements respectively. A system synchronization control unit is connected to the emitting and receiving time-sharing selectors through an antenna time-sharing control unit. The monitoring method is characterized by carrying out MIMO antenna array time-sharing emission and step frequency continuous wave signal reception; carrying out inverse Fourier transform and distance compression on echo data, carrying out phase discontinuous correction on radar echo data, calculating time delay compensation factor and carrying out beam forming method azimuth focusing to obtain a high-resolution complex image; carrying out continuous monitoring to obtain a plurality of complex images and forming complex image pairs; and calculating differential interference phase after complex image pair registering and extracting deformation value and carrying out early warning. According to the landslide MIMO radar monitoring system and monitoring method, non-contact remote monitoring is achieved, monitoring range is wide, azimuth resolution ratio is high, real-time performance is high, data acquisition is quick, system device is light and portable, and layout is adjustable.

The invention discloses an early identification method of potential landslide based on the remote sensing technology, and the method comprises the following steps: S1, obtaining remote sensing data, landform data and geological data of a projection region; S2, extracting a landslide development factor and a value range; S3, building a landslide factor set standard unit; S4, building a model, and dividing a landslide development high-risk region; S5, carrying out the differential interferometer radar remote sensing monitoring of the landslide development high-risk region, extracting the deformation and crack information of the high-risk region, and achieving the early recognition of the potential landslide. The method can achieve the early recognition of the potential landslide in a large range, achieves the focusing of a key region, breaks the point measurement range of a conventional method, achieves the area monitoring recognition, can greatly reduce the manpower and material resource investment, remarkably reduces the early recognition cost of the potential landslide, and improves the project operation safety and disaster prevention and disaster mitigation level.

The invention provides a moonlet sun array life forecast method based on I-V curve and energy balance. Aiming at the problems that the existing moonlet sun array life forecast method has few damage regularity space environment influencing factors, is limited in life forecast of unit cells to the large extent, cannot forecast the whole life of a sun array, and the like, the moonlet sun array life forecast method is based on space environment simulation tests, and a sun array integral life forecast module is provided taking important space environment factor influence including sun and earth distance factors, track earth shadow time, included angles of sun rays and sun array normals, temperature and sun radiation into account, further the problem of generality of life forecast taking the sun array important life influence factors into account and sun array integral life forecasting suitable for different bathes and different types is solved. The I-V curve is a current and voltage curve of a solar unit cell. The moonlet sun array life forecast method is based on tests, and has good model generality and strong engineering practical applicability.

The invention discloses an aluminum body lightweight design method based on sensitivity and CAE analysis. The method comprises the following steps of 1, building an aluminum body finite element model; 2, analyzing modality and rigidity of an aluminum body; 3, building a sensitivity analysis optimization response model; 4, calculating a rigidity sensitivity coefficient, a modality sensitivity coefficient and a weight sensitivity coefficient of all components of the aluminum body; 5, according to a calculation result of the sensitivity coefficient, performing structural optimal design; 6, performing CAE analysis validation on the optimized aluminum body structure, judging whether the lightweight design objective is met or not; if yes, completing designing; if not, executing the step 5 again till the lightweight design objective is met. All structures capable of achieving the lightweight objective in the whole aluminum body structure can be analyzed, it can be efficiently verified that the optimized structure meets the requirement for modality and rigidity or not, and the efficient and reliable aluminum body lightweight design is achieved.

The invention discloses a multi-beam imaging sonar sidelobe suppression method. Via use of a wind-driven optimization algorithm, an optimal array element position suitable for all wave beam directions is searched; via use of a convex optimization algorithm, an optimal weighting coefficient suitable for all wave beam directions is calculated; an array sidelobe is suppressed, possibility of optimization searching processes being trapped in local optimum is greatly reduced, and sidelobe suppression effects are improved. The invention also discloses a multi-beam imaging sonar array sparsity method, via use of an iteration sparsity method based on a mixed algorithm, a multi-beam sidelobe peak value level is suppressed via optimization of array element position arrangement and the weighting coefficient on a precondition that requirements for main sidelobe performance are given, array sparsity is realized on the premise that no big directional diagram performance loss is caused, and good engineering practicality is achieved.

The invention discloses a strong resistance and strong evasion floor heave governing construction method of a high-stress large-deformation soft rock drift, belonging to the technical field of coal mine drift support. The strong resistance and strong evasion floor heave governing construction method is designed for solving the problems of large deformation and difficult support of the floor heaves of coal mine soft rock drifts. Certain depth is firstly dug downwards on a drift soleplate from a designed elevation, and then, a high strength deformed steel bar anchor rod, a grouting anchor rod, a steel beam and a concrete layer are used for supporting the drift soleplate to form a strong resistance supporting structure, a layer of aerated rubber air bags containing rubber granules is paved on the strong-resistance supporting structure, the air bags are used as strong evasion devices to release the pressure of the soleplate and buffer the deformation of the floor heave, and finally, a layer of reinforced concrete is poured on the rubber air bags to control the floor heave of the high-stress large-deformation soft rock drift. According to the invention, resistance is combined with evasion, the construction technique is simple, the construction speed is high, the repair rate low, the method is generally suitable for governing the floor heaves of various kinds of coal mine drifts and chambers, and the engineering practicability is strong.

The invention discloses a method for estimating the jump cycle and the take-off time of a frequency hopping signal. The method comprises the following steps: step one: obtaining a data sequence; step two: initializing parameters; step three: calculating the power spectrum of data in the i-th short-time window; step four: estimating the peak frequency and the peak-to-average power ratio of the data in the short-time window through the power spectrum; step five: judging whether the processing for the data of all short-time windows is completed, if the processing is not completed, returning to the third step, and if the processing is completed, returning to the sixth step; step six: estimating the initial moment of each jump of the frequency hopping signal; step seven: utilizing an alpha-TM algorithm to estimate the jump cycle and the take-off time. The method simultaneously utilizes the frequency characteristics and the energy features of the frequency hopping signal, and the robustness is good; through short-time Fourier transform, the calculated amount is small, the engineering practicability is high, and the method is suitable for quick and robust estimation of the parameters of the frequency hopping signal.

The invention relates to a spacecraft attitude control method for a sensor under attack in a space confrontation environment. The method aims at attitude control for the spacecraft sensor under attackin a complex space environment. The method comprises the steps that first, a spacecraft attitude control system model with sensor attack and external environment interference is established; secondly, a disturbance observer is designed to estimate the external environment interference received by a system without considering the sensor attack; again, based on the external environment interferenceestimation value, an output filter and an unknown input learning observer are designed to estimate an attack signal in the sensor information; and finally, the attack signal estimation value and theexternal environment interference estimation value are combined to design a composite controller to construct the spacecraft attitude control method for the sensor under attack in the space confrontation environment. The method provided by the invention has the characteristics of high anti-interference, high reliability and high engineering practicability, and is suitable for high-precision andhigh-reliability control of the spacecraft attitude control system under the condition that the sensor information is attacked.

The invention relates to a thrust distribution method based on combination of a particle swarm and sequential quadratic programming. The method is characterized by comprising steps that S1, current controller three-axis instructions are obtained by a thrust distribution unit from a controller, including longitudinal force, lateral force and yawing moment; S2, a thrust distribution model of a dynamic positioning system is established; S3, a target function and constraint conditions of a thrust distribution problem are established; and S4, an optimization searching method combining the particleswarm and sequential quadratic programming is applied to solve the thrust distribution problem. The method is advantaged in that on the basis of fully considering advantages and disadvantages of the particle swarm algorithm and the sequence quadratic programming algorithm, the two are combined, the disadvantages of the two can be effectively compensated, global optimization searching performance of the algorithm is greatly improved, the thrust distribution problem of the dynamic positioning system can be quickly and effectively solved, and the method has a high practical value.

The invention belongs to the technical field of sky wave radar, and relates to a sky wave radar sea clutter suppression method based on chaos sequence prediction. The sky wave radar sea clutter suppression method based on chaos sequence prediction aims to solve the problems that in an existing sky wave radar sea clutter suppression method, due to the fact that target detection of a low-speed naval ship is not satisfactory and depends on relevance of a plurality of clutter reference distance units, engineering practicability is not high, the number of loop iteration times is difficult to select and precision is low. According to the sky wave radar sea clutter suppression method based on chaos sequence prediction, a sea clutter internal chaos dynamical model is obtained by means of a chaos predictor, sea clutters are counteracted in a non-linear prediction method, and a target signal is maintained. The method includes a training process and a work process. In the training process, internal rules of a section of sea clutter signals without a target or with a weak target signal are learnt by means of the predictor; in the work process, prediction and counteraction of the sea clutters are achieved by means of signals of a target unit to be detected via the well trained predictor, and accordingly target information is displayed. The method is suitable for sky wave radar.

The invention belongs to the technical field of image processing, and relates to a multi-source target tracking measurement system and tracking method based on active vision. The system comprises a photoelectric assembly and a stable platform, wherein the photoelectric assembly is composed of a visible light camera, an infrared thermal imager, a laser range finder, an information processor and a photoelectric cabin structure; the visible light camera, the infrared thermal imager, the laser range finder and the information processor are all installed inside the photoelectric cabin structure; the stable platform consists of an orientation motion assembly, a pitching motion assembly and a control assembly; and the control assembly receives an instruction sent by the information processor, andcontrols the orientation motion assembly and the pitching motion assembly to enable visual axes to stably point to a target. The invention further provides the multi-source target tracking method based on the active vision. The orientation motion assembly and the pitching motion assembly are driven to rotate according to the control instruction, so that the visual axis of the visible light cameraand the visual axis of the infrared thermal imager point to the target, and the target is always kept in the center of a shot image.

The invention relates to an integrated error calibrating method of an SINS/DVL (strapdown inertial navigation system/doppler velocity sonar) combined navigation system. The integrated error calibrating method comprises the following steps: obtaining a first navigation distance component of a carrier relative to a DVL instrument coordinate system and a second navigation distance component of GPS (global position system) position information relative to a carrier system in real time; carrying out least square fit based on SVD (singular value decomposition) on the first navigation distance component and the second navigation distance component, so as to obtain an SINS/DVL integrated conversion matrix; judging whether the conversion matrix estimated in the step 2 meets the accuracy requirement, and if not, repeating the steps 1 and 2 until the fitting precision achieves the requirement of navigation. By adopting the on-line estimation method of the least-square installation deviation angle based on the SVD, provided by the invention, the installation deviation angle of the DVL/IMU (doppler velocity sonar/inertial measurement unit) is estimated by adopting a GPS track measurement and DVL sliding track fitting method; not only is the problem of poor conventional least square stability solved; meanwhile, the integrated error calibrating method is low in demand on the measurement accuracy of z GPS, easy in scheme implementation and strong in engineering practicability.

The invention relates to a calculating and analyzing method for resonance characteristics of a direct current circuit of high-voltage direct current power transmission. The calculating and analyzing method for the resonance characteristics of the direct current circuit of the high-voltage direct current power transmission comprises the following steps of (1) setting up a direct current circuit resonance model, wherein according to a direct current system needing to be researched, system parameters are input in an EMTDC simulation model, a direct current circuit equivalent simplified simulation model is established; (2) setting a unit surge voltage source; (3) determining working conditions of researches; (4) carrying out time-domain simulation; (5) analyzing impedance characteristics; (6) analyzing resonance characteristics; (7) verifying power frequency and secondary power frequency; (8) carrying out simulation verification on the influences of failures and disturbances on direct current circuit resonance; (9) analyzing the calculation conclusion. According to the calculating and analyzing method for the resonance characteristics of the direct current circuit of the high-voltage direct current power transmission, the direct current circuit impedance under different frequencies can be calculated accurately, the response conditions of the power frequency and the response conditions of the secondary power frequency can be analyzed more accurately, and the calculating and analyzing method has strong operability and engineering practicability.

The invention discloses an intelligent lifting type forced road speed bump. The forced road speed bump comprises an intelligent vehicle speed detecting and judging system, a power supply module, a lifting drive device, a step-shaped iron lifting platform, two sliding blocks, two springs and two protective cylinder sleeves, wherein the lifting drive device is connected with the step-shaped iron lifting table and controls lifting of the step-shaped iron lifting platform; the two sliding blocks are mounted on two sides of the upper part of the step-shaped iron lifting platform respectively, energized spiral armatures are arranged in the sliding blocks, and the two sliding blocks are connected with the two protective cylinder sleeves through the springs respectively; the energized spiral armatures and the lifting drive device are connected with the intelligent vehicle speed detecting and judging system respectively; the intelligent vehicle speed detecting and judging system is connected with the power supply module. The vertical barrier height of the speed bump is controlled through two times of intelligent detection and judgment of vehicle speed, forced speed reduction and warning are performed on overspeed vehicles, the safety and the taking comfort of running vehicles based on speed limit regulations are guaranteed, and potential safety hazards caused by traffic disturbance in person and vehicle mixed road sections and particularly vehicles' violation of speed-limit standards are prevented.