288results about How to "Promote engineering application" patented technology

The invention discloses a power grid strength evaluation method and device, equipment, a medium and a product, and relates to the field of power system dynamic stability, and the method comprises the steps: building admittance and impedance models of all power supplies and network elements of a system in the impedance modeling process of the power system; the admittance and impedance model comprises a power supply admittance matrix, a power supply impedance matrix, a network node admittance matrix and a network node impedance matrix of all power supplies; based on the admittance and impedance model, establishing a whole-system closed-loop admittance matrix according to a closed-loop feedback relation between equivalent voltage disturbance and equivalent current disturbance of all buses; based on the closed-loop feedback relationship, defining a source network voltage interaction stability boundary representing the power grid strength according to the sensitivity of the system characteristic value to a source network voltage transfer function; and positioning a power grid strength weak area according to the source network voltage interaction stability boundary, and improving the power grid strength. According to the method, the oscillation risk caused by interaction of the control loops in the converter can be described.

The invention discloses a 7-series aluminum alloy composite light source laser welding method, which is characterized in that stitch welding is carried out on double-layer 7-series aluminum alloy test pieces by using a composite light beam formed by a near-infrared laser beam and a blue laser beam, the thickness of the upper-layer 7-series aluminum alloy test piece is 1-2mm, and the thickness of the lower-layer 7-series aluminum alloy test piece is 2mm; before welding, removing an oxide layer on the surface of the aluminum alloy, then pressing up and down through a jig, and setting welding parameters and paths; during welding, light spots of a near-infrared laser beam and a blue laser beam are concentric and emitted at the same time, the two laser beams are coupled and focused to a swing welding head, and stitch welding is carried out according to set welding parameters and paths; the light spot diameter of the blue light laser beam is larger than that of the near-infrared laser beam. Near-infrared light and blue light form coaxial composite light spots and emit light at the same time, stitch welding is conducted on the double-layer aluminum alloy test piece in combination with the swing welding head, and the stitch welding device has the advantages of being high in welding efficiency, good in air hole state and few in splashing and cracks.

The invention provides a secondary network thermal load prediction method based on a CEEMDAN-KPCA-LSTM algorithm. The method comprises the following steps: dividing a complemented data set into a training set and a test set according to a proportion; key factors influencing the dynamic change of the thermal load of the secondary network in the training set data are used as input variables, and the thermal load data are used as output variables; performing local encryption and standardization processing on the thermal load data; building an improved neural network model for predicting the dynamic thermal load of the building; training the improved neural network model, and when the improved neural network model meets a convergence condition, obtaining a trained improved neural network model; performing standardization processing on the test set data, and setting test set input data according to an input variable selected from the test set data after standardization processing of the training set data; and inputting test set input data into the trained improved neural network model to realize prediction of the dynamic thermal load of a certain building in the future 24 hours.

The invention discloses a monitoring and early warning method for wind-induced abnormal vibration of a cable-stayed bridge cable, and the method comprises the steps: calculating an energy concentration coefficient R according to a vibration intensity peak value P1st corresponding to a first large peak value and a vibration intensity peak value P2nd corresponding to a second large peak value; adding the energy concentration coefficient R into the array {R} to obtain an array {R} of bmin, and calculating the acceleration root mean square of the vibration acceleration data of the inhaul cable bmin according to the vibration acceleration data of the inhaul cable bmin; if k continuous energy concentration coefficients R in the array {R} of bmin exceed the early warning lower limit value and the acceleration root mean square exceeds the acceleration RMS upper limit threshold value, an early warning signal is sent out. The method has universality and effectiveness in identifying the second large vibration intensity peak value of different stay cable spectrograms, a bridge management and maintenance unit can conveniently know the abnormal vibration condition of the stay cable in time and maintain the stay cable, the service life of the stay cable is prolonged, and a guarantee is provided for safe operation of a bridge.

The invention discloses a natural ventilation cooling tower thermal performance collaborative optimization method, which comprises the following steps of carrying out performance test on natural ventilation cooling tower filler to obtain performance parameters of a natural ventilation cooling tower, establishing a model based on the performance parameters of the natural ventilation cooling tower, and carrying out collaborative optimization on the thermal performance of the natural ventilation cooling tower. Extracting filler arrangement form parameters and water distribution structure parameters of the natural draft cooling tower, obtaining optimal uniformity sample points of the parameters by using an optimization algorithm and experimental design, obtaining the tower outlet water temperature of the natural draft cooling tower at the optimal uniformity sample points through CFD calculation, constructing a radial basis agent model based on data obtained through CFD calculation, and calculating the tower outlet water temperature of the natural draft cooling tower according to the radial basis agent model. And an optimization algorithm is used for carrying out optimization solution on the radial basis agent model, and filler arrangement form parameters and water distribution structure parameters corresponding to the lowest tower outlet water temperature of the natural ventilation cooling tower are obtained. By obtaining the optimal design of the filler arrangement and the water distribution structure, the outlet water temperature of the natural ventilation cooling tower is reduced to the maximum extent, and the purposes of energy conservation and consumption reduction of a thermal power generating unit are achieved.

The invention discloses a thermal power generating unit operation optimization method and system based on energy efficiency optimization, and the method comprises the steps: obtaining the operation data of a thermal power generating unit in real time, screening the operation data of an energy efficiency index of the thermal power generating unit under a steady-state working condition, and obtaining a data set; dividing the operation condition of the thermal power generating unit, dividing the data set under the steady-state condition into corresponding data subsets, and endowing the energy efficiency index with a corresponding weight value in each data subset according to the energy efficiency; training a weighted support vector machine model by using the data subset, and performing parameter optimization according to the weight value of the energy efficiency index in the training process; and inputting the new data subset into the trained weighted support vector machine model to obtain an optimal value of the energy efficiency index under the corresponding working condition, performing real-time evaluation on the energy efficiency index by taking the optimal value of the energy efficiency index as a reference, and adjusting operation of the thermal power generating unit according to an evaluation result. According to the method, the accurate optimal energy efficiency value of the thermal power generating unit can be obtained, and operation optimization of the thermal power generating unit is achieved accordingly.

The invention discloses a geopolymer loess curing agent formula based on multi-element bulk solid waste and a preparation method thereof, and relates to the technical field of bulk solid waste geopolymer loess curing agents, the geopolymer loess curing agent formula comprises the following components: 50-70 parts of a curing material component, 10-30 parts of a reinforcing component, and 5-25 parts of an excitation component; the curing material component is fly ash, and the particle size of the curing material component is smaller than 300 microns; the reinforcing component is rice hull ash (the main component is SiO2); the single-component geopolymer curing agent is prepared by taking the rice hull ash and bulk solid waste as main raw materials, the use amount of solid waste exceeds 80%, on one hand, various solid waste can be effectively treated through the method, and on the other hand, the use amount of the solid waste is reduced; on the one hand, the solid waste can be converted into a product with a high additional value, full utilization of resources is achieved, on the other hand, the stacking cost of the solid waste can be reduced, the negative influence of the solid waste on the environment is reduced, and meanwhile a large number of resources are saved.

The invention relates to an inter-beam time synchronization measurement device and method after high-power laser beam splitting. The device comprises a triple frequency simulation light source, a first photoelectric tube, a second photoelectric tube, a high-speed oscilloscope and a data processing module. The frequency tripling simulation light source provides frequency tripling light signals of all light paths to be measured, the first photoelectric tube receives the light signals to be measured and outputs electric signals to be measured, and the second photoelectric tube receives time reference light signals and outputs time reference electric signals. The high-speed oscilloscope receives the electric signal to be measured and the time reference electric signal and outputs waveform sequence data to the data processing module, and the module calculates the time interval delta t between the waveform sequence data. According to the method, triple frequency simulation light is divided into a plurality of laser beams through a beam splitting module, and each laser beam reaches a target spot through an independent terminal transmission module. A first photoelectric tube is arranged at a target spot to measure the arrival time of each laser beam, and a second photoelectric tube is arranged in a terminal transmission module of a certain split laser beam to serve as a time reference. A light beam to be measured is selected through the shading assembly, and the time interval between each laser pulse and the time reference pulse is calculated by using a cross-correlation analysis method. According to the invention, high-precision measurement of time synchronization between high-power laser beam splitting is realized, and main laser emission or additional devices are not needed.

The invention belongs to the technical field of aerospace, and particularly relates to a modal-based aircraft structure load reconstruction method. The method comprises the following steps: acquiring modal information of a key position of an aircraft structure through a structure finite element model, wherein the modal information comprises a node displacement modal and a unit stress and strain modal matrix; obtaining a node resultant force mode and a profile resultant force / resultant moment mode matrix according to the finite element grid topological relation; and finally, reconstructing the stress / strain intensity of the key position of the structure and the resultant force / resultant moment of the key section from the generalized displacement of the structure according to the modal matrix. The algorithm does not need to process a structural overall rigidity matrix and a damping matrix, and engineering practical application is facilitated.

The invention discloses a forced air cooling high-frequency transformer fin radiator optimization design method suitable for a source network load storage integrated system. A polynomial response surface model capable of reflecting the heat spot temperature of a radiator is established; establishing a three-dimensional model of the fin radiator under different combination designs, and determining the highest temperature under different combination designs; taking the highest temperature of the fin radiator as an optimization target, taking the screened decisive influence factor as an independent variable, carrying out test design by adopting a response surface method, obtaining the influence degree of a response surface model and each variable on a result through residual analysis of the response surface method, and obtaining a final response surface function; and obtaining an optimal value of each variable by adopting a genetic algorithm according to the response surface model. According to the method, the influence of different variables on the highest temperature can be analyzed, the optimal solution can be directly obtained, and the calculation amount and the test frequency are reduced. The highest temperature of the high-frequency transformer can be reduced, and the highest temperature of the high-frequency transformer can be reduced to meet the engineering requirement.

The invention provides a lithium ion battery consistency rapid screening method based on an ultrasonic technology, and belongs to the technical field of battery management and echelon utilization. The method comprises the following steps: testing acoustic parameters of the lithium ion battery by using an ultrasonic technology, wherein the acoustic parameters comprise longitudinal wave velocity and ultrasonic flight time; obtaining the electrical characteristic parameter charge and discharge capacity of the battery through a charge and discharge cycle test; based on a machine learning model, a relationship between acoustic characteristic parameters and electrical characteristic parameters of the battery is established, and accurate estimation of the health state of the lithium ion battery is realized by using an ultrasonic technology, so that rapid screening of battery consistency is realized based on clustering analysis. According to the lithium ion battery consistency rapid screening method based on the ultrasonic technology, the problems that an existing lithium ion battery screening method is long in period and low in efficiency are solved.

The invention belongs to the field of robot motion control, and discloses a dynamic sliding mode motion control method for a mobile manipulator based on dynamic online identification feedforward, which comprises the following steps of: 1, designing a physical consistency linearization coupling dynamic model of the mobile manipulator; 2, designing a self-adaptive Kalman filtering algorithm based on modeling error covariance dynamic updating, and realizing high-precision online identification of the physical consistency kinetic parameters of the mobile mechanical arm; 3, designing a recursive dynamics feedforward algorithm of the mobile mechanical arm; 4, a self-adaptive over-torque dynamic sliding mode control algorithm based on recursive dynamics feedforward is designed, the continuity of the control law is guaranteed, and high-precision finite time convergence of the motion error of the mobile mechanical arm is achieved; and 5, the stability of the controller is achieved through a Lyapunov design method, a paradigm framework of robot dynamics feedforward finite time motion control is formed, and the response speed and precision of robot motion control can be effectively improved.

The invention belongs to the related technical field of capacitor life prediction, and particularly relates to a metallized film capacitor life prediction method, which comprises the following steps: carrying out an aging simulation test on a sample capacitor, cooling the sample capacitor after each round of test, measuring the capacitance of the sample capacitor, and calculating the capacitance attenuation value under each round; when the capacitance attenuation value and the number of turns reach preset values, fitting to obtain a linear relationship between the number of turns and the capacitance attenuation value, thereby obtaining a corresponding turn when the capacitance is attenuated to a performance deterioration index, and obtaining attenuation duration according to the turn; wherein the preset value corresponding to the capacitance attenuation value is smaller than the performance deterioration index; and according to the attenuation duration and other simulation experiment parameters and actual working condition data required by the capacitor failure life evaluation and prediction theoretical model, calculating the service life of the metallized film capacitor under the actual working condition by adopting the capacitor failure life evaluation and prediction theoretical model. The method can simply and conveniently predict the operation life of the metallized film capacitor.

The invention belongs to the technical field of wastewater treatment, and provides a method for realizing continuous degradation of pollutants under a low dosage based on a self-assembly induced carbon confinement material, which comprises the following steps: adding peracetic acid and a carbon confinement material into wastewater containing organic pollutants, treating the wastewater under a stirring condition, and in the wastewater treatment process, adding the peracetic acid and the carbon confinement material into the wastewater, the carbon confinement material activates peracetic acid to generate hydroxyl free radicals, organic free radicals, singlet oxygen and Co (IV) to degrade organic pollutants in the wastewater; the carbon confinement material is composed of a cobalt material and a nitrogen-doped carbon material coating the cobalt material, the cobalt material is composed of Co and CoO, and the carbon confinement material is nanoparticles with a core-shell structure. According to the invention, the high-efficiency utilization of the oxidizing agent peracetic acid can be realized under the condition of low-carbon confinement material dosage, the continuous degradation of micropollutants can be mediated, and the treatment cost of wastewater containing organic pollutants can be reduced.

The invention discloses an anti-skid control method, device and system for a distributed wheel edge drive loader. The anti-skid control method comprises the steps that the current whole vehicle speed is estimated based on the obtained longitudinal acceleration of the loader, the measured vehicle speed of the loader and the rotating speed of each wheel edge motor; calculating the whole vehicle speed corresponding to the rotating speed of each wheel-side motor based on the rotating speed of each wheel-side motor; calculating the actual slip rate of each wheel based on the estimated current vehicle speed and the vehicle speed corresponding to the rotating speed of each wheel motor; estimating the current optimal slip rate based on the response speed of each wheel-side motor; when it is judged that a certain wheel slips on the basis of the actual slip rate and the current optimal slip rate, the anti-slip demand torque is calculated on the basis of the actual slip rate, the current optimal slip rate and the demand torque of the slipped wheel and an anti-slip algorithm, and the anti-slip demand torque is sent to a wheel edge motor corresponding to the slipped wheel. The maximum driving capacity of the loader can be achieved under the condition that it is guaranteed that the loader does not slip, and the running reliability of the loader on the road surface with the low adhesion coefficient is improved.

The invention discloses a virtual synchronous machine active low-frequency oscillation suppression method based on power feedback compensation, and belongs to the field of new energy grid-connected converter control under large-scale new energy access. According to the method, the output voltage and current of the new energy converter are sampled, the instantaneous output active power and reactive power are calculated, and the average output active power and reactive power are obtained through a first-order low-pass filter; and then virtual synchronous machine active outer loop control based on output power feedback compensation and reactive outer loop control based on reactive-voltage droop are adopted to obtain reference values of a d-axis voltage amplitude and a voltage phase angle of new energy converter voltage inner loop control, and output voltage closed loop control is carried out. Under the condition that the output active control order and the steady-state characteristic are not increased, the output active dynamic overshoot and low-frequency oscillation suppression of the new energy converter based on the network construction control type virtual synchronous machine are effectively realized, the parameter value range is slightly constrained by the system stability, and the engineering application is simple.

The invention discloses a highly reconstructed Ni-doped glassy MOFs electrocatalyst and a preparation method and application thereof.The preparation method comprises the steps that a solution containing cobalt salt and an organic ligand is subjected to a hydrothermal reaction, and ZIF-Co powder is obtained; taking a mixture of ZIF-Co powder and a nickel source as a powder precursor; loading the powder precursor on the electrode material to obtain a catalyst-loaded electrode material; the electrode material loaded with the catalyst is vitrified through a melting quenching technology and then reconstructed, and the highly reconstructed Ni-doped glassy MOFs electrocatalyst is obtained. According to the method, electrochemical surface reconstruction is promoted by vitrification, the glassy MOFs catalyst with rich active sites is obtained, the problem that the active sites of the MOFs material are not easy to expose is solved, in addition, the glassy MOFs can be directly fused and attached to an electrode material without a binder, the problem that a powder catalyst is difficult to process is solved, and the preparation process is simple. And device assembly and industrial large-scale production are facilitated.

The invention discloses a rice seedling leaf age intelligent identification system based on a depth camera, and belongs to the technical field of agricultural intelligent equipment and machine vision. Comprising a monitoring point gridding path planning module, a mechanical arm cooperative positioning data acquisition module, an RGB-D data preprocessing module, a dynamic foreground seedling accurate extraction module, a leaf age recognition confidence evaluation module, a leaf age data visualization presentation module and an integrated control strategy feedback module. RGB color features and connected domain analysis are combined to optimize a mask, a front single seedling is accurately segmented, background interference is eliminated, the confidence coefficient is dynamically calibrated through a deep learning model and image quality features, texture definition and edge continuity features are combined to generate calibrated confidence coefficient, confidence coefficient evaluation is directly associated with an agricultural decision, and the accuracy of the agricultural decision is improved. The leaf age result is generated only based on reliable data, the personnel rechecking demand is reduced, and the decision-making efficiency is improved.

The invention provides a PBO chopped fiber reinforced aluminum matrix composite and a preparation method thereof, and belongs to the technical field of metal matrix composites.The preparation method comprises the steps that firstly, fibers are subjected to ultrasonic dispersion; 2, ball milling and powder mixing; step 3, spark plasma sintering; and 4, follow-up high-temperature annealing is conducted, the prepared PBO chopped fiber reinforced aluminum-based composite material is composed of a PBO chopped fiber reinforced body and an aluminum matrix, the composite material is high in density, the maximum tensile yield strength, the maximum tensile strength and the maximum bending strength all meet the high standard, in addition, the composite material further has the good plastic deformation capacity, and on the whole, the composite material has the good mechanical property. The composite material has outstanding comprehensive mechanical properties. In addition, the preparation process of the composite material is simple, rapid preparation of the PBO chopped fiber reinforced aluminum-based composite material can be achieved, and engineering application of the composite material can be promoted.

The invention provides a method for calculating the loosening and collapsing depth of top arch surrounding rock. The method comprises the steps that S1, the arch crown height a, the tunnel radius b and the boundary angle theta 1 of an equivalent four-center arc are obtained; s2, on the basis of the data obtained in the step S1, drawing is conducted through a four-center method, and an elliptical caving arch is formed; s3, carrying out stress balance analysis on the self-stabilizing surrounding rock in the vertical direction to obtain a balance equation; s4, the balance equation is analyzed, a transcendental equation only containing one unknown quantity is obtained, and the unknown quantity is the included angle theta h between the surrounding rock friction force direction of the self-stabilizing surrounding rock and the vertical direction; and S5, solving the equilibrium equation through a numerical analysis method to obtain the slump depth. The cavern top arch surrounding rock collapse cavity depth can be accurately predicted, the surrounding rock supporting force is determined, and a reasonable dynamic design basis is provided for tunnel construction penetrating through a fault fracture zone.

The invention discloses a high-thermal-conductivity aluminum-based composite material with an adjustable thermal expansion coefficient and a preparation method, and belongs to the field of composite materials. The material comprises a negative thermal expansion reinforcing body, a high thermal conductivity reinforcing body and an aluminum matrix, the total volume content of the negative thermal expansion reinforcing body and the high thermal conductivity reinforcing body accounts for 10-70 vol.%, the volume content of the negative thermal expansion reinforcing body accounts for 5-65 vol.%, the volume content of the high thermal conductivity reinforcing body accounts for 5-65 vol.%, and the balance is the aluminum matrix. The negative thermal expansion reinforcer is one or a combination of more than two of a ceramic material, an intermetallic compound and an alloy, and the average linear expansion coefficient or the volume expansion coefficient of the ceramic material, the intermetallic compound and the alloy is negative when t DEG C is greater than-100 DEG C and less than 300 DEG C; the high-thermal-conductivity reinforcer is one or a combination of more than two of inorganic non-metallic materials with the thermal conductivity higher than that of the aluminum matrix; and the aluminum matrix is one or a combination of more than two of aluminum alloy or pure aluminum in which the mass percentage of aluminum is more than 50%. The solid-phase sintering technology is adopted, and the volume fraction is accurately controlled.

The invention belongs to the technical field of casting alloy material technology and simulation application, and particularly relates to a method for mapping casting alloy from process results to material performance in finite element analysis, which comprises the following steps of: selecting at least one of flat plate material slice cut samples or casting material grade sample piece materials; obtaining the materials and experimental data to calibrate the reference performance of the casting alloy, and developing a corresponding reference material card; selecting physical parts with industrial standards or process parameter ranges meeting requirements to perform casting process simulation so as to obtain distribution of casting process results, such as at least one piece of related information of flow length, solidification time and void ratio; and based on the experimental result in the step 3, performing sample cutting and experiment on different areas of the part to obtain the mechanical properties of the material, such as at least one of strength and toughness. According to the method, the conversion deviation of manual operation is avoided, the modeling efficiency is improved, simulation prediction precision improvement is supported, and engineering application of casting alloy is further promoted.

The invention relates to a mainstream anaerobic ammonia oxidation quick start and efficient stable operation method, which uses an immersed anaerobic ammonia oxidation granular sludge membrane biological composite reactor comprising an upflow anaerobic sludge blanket (UASB), and an MBR is immersed in the upper part of the upflow anaerobic sludge blanket (UASB); the height-diameter ratio of the UASB is 4-6, and the overall length of the MBR is 1 / 2-1 / 3 of the height of the UASB. The granulation of the sludge is realized through the UASB, and the enrichment capacity, the sedimentation performance and the stability of the sludge are improved; in the operation process of the mainstream Anammox, the complete retention of sludge functional bacteria is realized by adopting the operation of gradually shortening the hydraulic retention time and improving the nitrogen load and through the biological complete interception effect of the immersed MBR. In the granulation process of the sludge, the settling performance of the sludge is improved, a large amount of flocculent sludge is prevented from being in direct contact with membrane filaments, the membrane pollution problem in the membrane assembly is relieved, meanwhile, water flow shearing force generated around the membrane assembly can effectively wash pollutants on the surface of the membrane assembly, and the membrane pollution problem is further controlled.

The invention discloses a magnesium oxide-medium / high-entropy zirconate pyrochlore multiphase ceramic inert fuel base material and a one-step preparation method, the magnesium oxide-medium / high-entropy zirconate pyrochlore multiphase ceramic inert fuel base material has a chemical general formula of omega MgO-(1-omega) (A1 / n) 2Zr2O7, omega represents 30-80wt.%, (1-omega) (A1 / n) 2Zr2O7, (1-omega) (A1 / n) 2Zr2O7, (1-omega) (A1 / n) 2Zr2O7, (1-omega) (A1 / n) 2Zr2O7, (1-omega) (A1 / n) 2Zr2O7, (1-omega) (1 N represents the number of element types of A lattice sites in (A1 / n) 2Zr2O7 pyrochlore, and n is an integer and is greater than or equal to 3 and less than or equal to 5; meanwhile, the types of the elements are selected from La, Nd, Sm, Y and Er, and the types of the elements and the mass ratio of the two crystal phases in the composite ceramic can be regulated and controlled at will. The composition design and one-step preparation method of the MgO-medium / high-entropy (A1 / n) 2Zr2O7 composite ceramic inert fuel base material, provided by the invention, have the advantages of flexible composition design, simple preparation process flow, high product compactness, suitability for simultaneous transmutation treatment of Pu and various MA and the like.

The invention discloses an unpowered returning-field aircraft spoiler speed control method based on active disturbance rejection control, belongs to the technical field of unmanned aerial vehicle flight control, and aims to solve the problem that high-precision speed control is difficult to realize due to insufficient robustness when a traditional spoiler control strategy faces a complex and changeable environment and unknown disturbance. According to the method, the expansion state observer introducing active disturbance rejection control is adopted, unmodeled dynamics and external disturbance in the system are estimated on line and compensated in real time, the speed deviation is responded in a short time, the adaptive capacity to unknown disturbance is remarkably improved in unpowered return field section spoiler speed control, and the speed control accuracy of the spoiler is improved. According to the method, the dependence on an accurate model is reduced, higher-precision and more robust speed control is realized, and an effective technical means is provided for safe, stable and accurate landing of unmanned aerial vehicles and other unpowered landing aircrafts.

The invention provides a device and system for locking and releasing an aircraft. The device comprises a fixing frame, a locking and releasing mechanism, a recycling box and a parallelogram mechanism. The locking and releasing mechanism comprises a firework bolt, a firework bolt mounting frame and a locking nut; the parallelogram mechanism comprises an adapter rod, a connecting rod, a rotating shaft and an arc-shaped baffle plate; the firework bolt mounting frame is connected with the fixing frame through a fastener, and the firework bolt is connected with the firework bolt mounting frame through a thread of the firework bolt; the firework bolt comprises a firework bolt body and a firework bolt screw rod, and threads are arranged on the firework bolt body and the firework bolt screw rod; the adapter rod is arranged at the top of the fixing frame, the connecting rod is sequentially provided with three through holes from top to bottom, and the connecting rod is connected with the adapter rod through a rotating shaft matched with the upper through holes. The locking and releasing device is simple in structure, and the design problem of the locking and releasing device under the condition that the installation position of the unmanned aerial vehicle is restrained is effectively solved.

A high-frequency transformer parasitic parameter regulation and control method considering a high-frequency eddy current effect comprises the following steps: determining a high-frequency transformer winding structure and geometrical shape parameters, and calculating static capacitance between adjacent layers of a winding according to a capacitor model; determining a winding method of the winding, and calculating to obtain equivalent stray capacitance between adjacent layers of the winding according to an energy equivalence principle between the layers of the winding; determining a winding arrangement mode, a primary winding layer number NP and a secondary winding layer number NS, calculating stray capacitance among terminals of the windings according to an energy equivalence principle, and if the magnitude of the stray capacitance meets the parameter design requirement of the high-frequency transformer, performing the next step; a leakage inductance calculation model of the high-frequency transformer is established according to the winding structure, the geometrical shape, the winding winding method and the winding arrangement mode, and leakage inductance parameters are extracted; if the leakage inductance cannot meet the parameter design requirement of the high-frequency transformer; and if the leakage inductance can meet the parameter design requirement of the high-frequency transformer, ending the calculation. The method can be applied to accurate evaluation of parasitic parameters of the high-frequency transformer, leakage inductance and parasitic capacitance parameters are controlled within a reasonable range, the calculation amount and calculation time required by optimization design are reduced, and the method is convenient and rapid.

The present invention discloses a wave-absorbing layer plate with low curing deformation and a preparation method thereof, belonging to the technical field of structure / stealth composite materials, wherein a low modulus wave-absorbing adhesive film is prepared by compounding a resin matrix, a wave-absorbing agent, an auxiliary agent and low modulus small particles; a low modulus glass fiber prepreg is prepared by compounding glass fiber, a resin matrix and low modulus small particles; a carbon fiber prepreg, a low modulus wave-absorbing adhesive film and a low modulus glass fiber prepreg are sequentially laid on the surface of a molding tool, and co-curing molding is performed to obtain a wave-absorbing layer plate with low curing deformation. Due to the introduction of low modulus small particles and the use of co-curing molding, the present invention can significantly reduce the deformation of the wave-absorbing layer plate during molding.

The invention relates to converter station harmonic traceability, in particular to a converter station multi-harmonic source quantitative traceability method, which comprises the following steps of: monitoring the operation state of a passive filter bank, and respectively and synchronously acquiring a group of power supply bus harmonic voltage phasors, each power transmission line harmonic current phasor and a passive filter bank harmonic current phasor before and after the state switching of the passive filter bank; calculating an equivalent harmonic source parameter of each power transmission line according to the harmonic voltage phasors of the power supply bus, the harmonic current phasors of each power transmission line and the harmonic current phasors of the passive filter bank before and after the state switching of the passive filter bank; calculating a power supply bus harmonic voltage calculation value according to the equivalent harmonic source parameter of each power transmission line, performing error calculation on the power supply bus harmonic voltage calculation value and a power supply bus harmonic voltage measurement value at a corresponding moment, and performing data filtering on the equivalent harmonic source parameter of each power transmission line according to an error calculation result; the technical scheme provided by the invention can effectively overcome the defect that accurate quantitative traceability is difficult to carry out on the converter station multi-harmonic source.

The invention discloses an anti-seismic design method for a prestressed pipe pile frame of a highway prefabricated assembled pile plate type bridge, and belongs to the technical field of prestressed high-strength concrete pipe piles and highway prefabricated assembled pile plate type bridges. The technical problems that a typical highway prefabricated assembled pile plate type bridge prestressed pipe pile frame is obvious in brittle failure characteristic and poor in ductility and energy dissipation capacity are solved; the pipe pile connection transition section serves as a potential plastic hinge area, and the limit displacement and the energy dissipation capacity of the prestressed pipe pile frame are improved by means of the advantages of large limit strain, high energy dissipation capacity and the like of longitudinal ordinary steel bars. Through the capacity protection design, it is ensured that damage is only generated in the pipe pile connection transition section under the earthquake, the damage modes of brittle damage, structural shear damage and the like of the pipe pile standard section are avoided, and the ductility capacity of the prestressed pipe pile frame is improved; through the provided design steps, the design parameters of the prestressed pipe pile frame can be rapidly determined without complex nonlinear earthquake response calculation, and the design efficiency of the structure is remarkably improved.