327results about How to "Efficient design" patented technology

The invention discloses a satellite remote sensing image cloud classification method based on space-time coding guidance, and particularly relates to the technical field of satellite image processing and deep learning, and the method comprises the following steps: carrying out the preprocessing of the original data of a geostationary meteorological satellite and a Cloud Sat satellite; preprocessing operation such as cutting, projection conversion and feature selection is carried out on the geostationary meteorological satellite data, a top cloud type is selected for the Cloud Sat data to serve as a label, and space-time matching is carried out on the processed geostationary meteorological satellite data and the Cloud Sat data to obtain a training and testing data set; and establishing a GTCCT model, performing time and geocoding on the input data, inputting the coded feature data into a network for training, and finally obtaining the GTCCT model for cloud classification.

The invention relates to the technical field of performance simulation analysis, in particular to a performance simulation method of a power module. The method comprises the following steps: acquiring initial physical characteristic data and initial electrical characteristic data of a power module; the initial physical characteristic data and the initial electrical characteristic data are preprocessed and simulated, and physical field distribution characteristics in the power module are obtained; performing multi-physical field simulation analysis on the power module based on physical field distribution characteristics in the power module by using an adaptive grid generation algorithm and sparse matrix solution to obtain simulation result data; performing parameter adjustment and optimization on a simulation model of the power module according to the simulation result data to generate optimized simulation model parameter data; and according to the optimization simulation model parameter data, performing simplification processing on the design of the power module to establish a simplified model. Through multi-stage simulation and optimization, the performance and the control precision of the power module can be remarkably improved, and the stability and the efficiency of the system are improved.

The invention relates to the field of computers, and provides an optimal design method, device and equipment for a three-dimensional slope inclined anti-slide pile and a medium. The method comprises the following steps: generating a dynamic library file of a soil constitutive model, and importing the dynamic library file into universal interactive modeling software; setting material attributes for the three-dimensional model, defining boundary conditions, and dividing grids; performing static analysis on the three-dimensional model to generate a visual toolkit file; extracting material point information in the visual toolkit file, and packaging the material point information into a material point file; determining pre-prepared material point method three-dimensional data analysis software; reading the material point file and carrying out dynamic analysis; generating an unstructured grid file of the visual toolkit file in the dynamic analysis process; extracting a slope failure state variable from the unstructured grid file of the visual toolkit file; and by taking the slope failure state variable as an optimization target, adjusting the three-dimensional model to obtain an optimal anti-slide pile design scheme.

The invention provides a method and device for optimizing the design of a hybrid power system of an aircraft. The method provided by the invention comprises the following steps: aiming at a pre-designed hybrid power system, constructing a simulation model corresponding to the hybrid power system; determining a required power range of a power system according to the flight envelope of the aircraft, and determining load required power of the aircraft under multiple types of preset typical working conditions according to the required power range; determining a working mode of the aircraft under the load demand power according to the load demand power under each type of preset typical working conditions and current and preset working mode determination rules; simulating the working mode by using the simulation model, and obtaining a simulation result; wherein the simulation result comprises operation parameters corresponding to each model; and according to a simulation result, providing an optimization suggestion for a pre-designed aircraft hybrid power system. The method provided by the invention is used for effectively optimizing the design of the hybrid power system of the aircraft and improving the performance and reliability of the hybrid power system.

The invention discloses a low-repetition-frequency spiral microcavity structure and a design method, and belongs to the field of silicon-based integrated photon chips. The low-repetition-frequency spiral microcavity structure comprises a first spiral bent waveguide, a second spiral bent waveguide, an internal connection bent waveguide, an external connection bent waveguide and a bus waveguide. The curvature radius of each point of the internal connection bending waveguide changes along with the length and meets the Euler spiral equation, and the internal connection bending waveguide is used for connecting the starting points of the first spiral bending waveguide and the second spiral bending waveguide. The external connection bending waveguide is used for connecting the end points of the first spiral bending waveguide and the second spiral bending waveguide. The first spiral bent waveguide, the second spiral bent waveguide, the internal connection bent waveguide and the external connection bent waveguide form a closed spiral annular waveguide. A light beam transmitted in the bus waveguide is coupled into the spiral annular waveguide. The invention further discloses a design method of the low-repetition-frequency spiral microcavity structure. According to the invention, loss caused by high-order mode crosstalk and mode mismatch can be reduced, and the area utilization rate of a chip is improved.

The invention discloses a lithium niobate film rapid heat insulation 3dB power beam splitter, and relates to the technical field of integrated photons. Comprising an upper cladding layer, an x-cut lithium niobate film layer, a buried oxide layer and a silicon substrate layer which are sequentially stacked from top to bottom, the x-cut lithium niobate layer contains a lithium niobate film ridge waveguide formed by an etching technology; the lithium niobate film waveguide comprises an input end conical waveguide, an input end S-bent waveguide, a rapid adiabatic mode evolution waveguide and an output end S-bent waveguide which are connected in sequence; on the basis of a traditional linear adiabatic cone, nonlinear change is achieved in combination with adiabatic parameters so as to accelerate the adiabatic process, and the excellent characteristics of broadband and robustness of the adiabatic power beam splitter are reserved while the length of the adiabatic power beam splitter is reduced.

The invention relates to a Qinghai-Tibet Plateau landslide prediction method based on artificial intelligence, and the method comprises the following steps: S1, sorting Qinghai-Tibet Plateau landslide event data and influence factor data: carrying out the quantitative processing and normalization processing of 14 features, such as slope, orientation and the like, and dividing the features into three parts which are respectively used for constructing training, verification and test samples; s2, designing a model, and predicting the landslide in the permafrost region of the Qinghai-Tibet Plateau by using a machine learning technology: establishing a sample set containing 13 features; an interpretable artificial intelligence model is constructed; s3, selecting a black box model and performing classification by using a machine learning model; s4, interpreting the prediction of the random forest through an LIME model; s5, interpreting prediction of the random forest through an SHAP model; and S6, using the interpretable AI model to output and visualize the model. The method is high in precision, explainable and visualized in result, and can predict the susceptibility of the Qinghai-Tibet Plateau landslide.

The invention discloses a BIPV intelligent design and optimization platform control system based on BIM, and particularly relates to a BIPV intelligent design and optimization technology, which comprises a data batch division module, a BIPV data acquisition module, a BIPV data analysis module, a comprehensive evaluation module and a real-time early warning feedback module. The data batch division module is used for determining to-be-collected data as target data and dividing the target data into different batches according to an equitime division mode; the BIPV data acquisition module comprises a system performance data acquisition unit and an environment data acquisition unit; the BIPV data analysis module comprises a system performance data analysis unit and an environment data analysis unit; the comprehensive evaluation module comprises a BIPV intelligent design analysis unit; and the real-time early warning feedback module is used for establishing a BIPV intelligent design rationality index preset value and judging the BIPV intelligent design rationality index value according to the BIPV intelligent design rationality index preset value.

The invention belongs to the technical field of data processing, particularly relates to a BIM-based intelligent medical building design optimization method and system, and aims to solve the problems of high error rate and low optimization efficiency when real-time data is processed by a BIM model. The method comprises the following steps: acquiring a BIM model of a medical building, construction data and user input, establishing a mirror image model, detecting and correcting real-time data, processing the corrected data, detecting the real-time data by using a dynamic data detection model, correcting the data according to an error result, and optimizing the BIM model in combination with historical data. According to the method, the accuracy and optimization efficiency of the BIM model are improved, and efficient design, operation and maintenance of an intelligent medical building are supported.

The present invention belongs to the field of construction site safety technology, specifically a construction site construction safety assessment system, the system includes: a scene reconstruction design module, a data perception module, a data communication module and a data processing module. The present invention has the beneficial effects of being able to realize real-time, accurate and comprehensive data collection and transmission of construction sites, improving the data quality and timeliness of construction safety assessments; being able to realize clear, intuitive and dynamic scene reconstruction and display of construction sites, improving the visualization and interactivity of construction safety assessments; being able to realize scientific, objective and consistent risk analysis and assessment of construction sites, improving the systematicness and reliability of construction safety assessments; being able to realize efficient, accurate and intelligent design and construction optimization and adjustment of construction sites, improving the optimization and automation of construction safety assessments.

The invention provides a double-groove structure design method for enhancing the sorting performance of a spiral chute, and relates to the technical field of spiral chute structural design. The double-groove structure design method comprises the steps that S1, the inner diameter and the outer diameter of a first groove and the outer diameter of a second groove are selected; s2, selecting a groove spiral line form as an equiangular spiral line, and selecting equiangular spiral line spiral angles of the first groove and the second groove; s3, selecting the maximum depth and the minimum depth of the groove; s4, an adjacent angle between the first groove and the second groove is selected, and the width of the grooves and the total number of the grooves of the spiral chute are selected; s5, the vertical distance between an outlet of the second groove and an inlet of the first groove is selected; and S6, performance checking is conducted on the designed double-groove structure used for enhancing the sorting performance of the spiral chute, if the performance meets the standard, design is ended, and if the performance does not meet the standard, the steps 1-6 are repeated. Rapid and efficient design of the groove structure can be achieved, and powerful technical support is provided for improving the performance of the spiral chute.

The invention discloses a mudstone intelligent identification method for seismic indication crossing fracturing, and belongs to the technical field of unconventional oil and gas fracturing development. The intelligent mudstone identification method comprises the steps of making a horizontal well actual drilling track 2D lithologic label, solving a depth domain inversion body, constructing a lithologic sample earthquake 4D intelligent discrimination label, calculating a lithologic comprehensive evaluation body S5, intelligently indicating cross-layer fracturing transformation and the like. By using three-dimensional seismic data to carry out technical means such as accurate identification of a spatial mudstone section, accurate identification of effective reservoirs around the mudstone section and comprehensive evaluation of a reservoir structure and a combination relation of the reservoir structure, intelligent prompting of a strata-penetrable fracturing section in space is realized, and an accurate judgment basis can be provided for accurate strata-penetrable fracturing transformation of an unconventional oil and gas horizontal well; and the purpose of fully utilizing underground geological reserves is achieved. The intelligent identification method provided by the invention can be applied to fracturing development of unconventional oil and gas.

The invention discloses a variable mixing ratio design method for an aviation hybrid electric aircraft and a propulsion system, and the method comprises the steps: S1, dividing an aircraft mission profile into stages of taking off, climbing and the like, and building a linkage integrated design model of the hybrid electric aircraft and the propulsion system; s2, determining parameters of the aircraft and the propulsion system under different application scene requirements by combining calculation formulas in the linkage integrated design model of the hybrid electric aircraft and the propulsion system; and S3, by changing the mixing ratio of the takeoff stage and the climbing stage in different application scenes, optimizing and determining the corresponding mixing ratio when the maximum takeoff weight and the unit commercial load per kilometer power cost are at the lowest level in different application scenes, realizing the optimal design of the aviation hybrid electric aircraft and the propulsion system, and providing a basis for aircraft power type selection. Hybrid electric system design can be carried out on the basis of an existing turboshaft engine, optimal design of an aviation hybrid electric aircraft and a propulsion system is achieved, and a reliable basis is provided for power type selection.

The invention relates to the technical field of additive manufacturing, in particular to an additive manufacturing low-stress high-entropy alloy design system and method based on lattice mismatch, which are used for effectively reducing interface stress of gradient materials, and the method comprises the following steps: analyzing a matrix crystal structure, and determining a high-entropy alloy crystal structure type consistent with the matrix crystal structure; based on a high-entropy alloy crystal structure, a high-entropy alloy virtual lattice approximate structure model is established; performing structure geometric optimization on the model to obtain a high-entropy alloy lattice constant under a stable structure; according to the obtained lattice constants, the proportion of all elements of the high-entropy alloy is adjusted by comparing the lattice constants of the base body, and the redesigned high-entropy alloy is calculated till the lattice mismatch degree of the high-entropy alloy and the base body is low; and gradient design is conducted on the designed high-entropy alloy with the low lattice mismatch degree and the base body, and the design result of the low lattice mismatch degree and the low interface stress of the additive manufacturing high-entropy alloy gradient material is obtained.

The invention provides an erosion gully treatment method, and relates to the technical field of erosion gully treatment, and the method comprises the steps: carrying out the image collection of a to-be-treated region through an unmanned plane, and generating a three-dimensional scene image of the to-be-treated region; determining various construction treatment areas based on the ditch head, the ditch tail and the ditch channel; corresponding treatment construction is conducted on the various construction treatment areas; a plurality of monitoring periods are set, data acquisition is carried out in each monitoring period, and the erosion gully treatment effect is evaluated based on a data acquisition result. The method solves the problems that an existing erosion gully treatment engineering measure needs manual field investigation to obtain a two-dimensional image of a to-be-treated area before engineering planning, the process is time-consuming and labor-consuming, the finally obtained image is generally large in error and directly affects the final treatment effect, and meanwhile after treatment engineering construction is completed, the cost is low. The technical problems that in the prior art, monitoring of treatment projects is lacked, the treatment effect cannot be fed back and adjusted in time, only static treatment is adopted, and the treatment effect cannot be evaluated scientifically are solved.

A wind turbine blade generative optimization design method based on a generative adversarial network comprises the steps that detailed data of existing wind turbine blades are obtained through a simulation algorithm, and a training data set is formed; and generating a new fan blade three-dimensional structure through the encoder and the generative adversarial network. And evaluating the power generation efficiency of the newly designed fan blade by using the generative adversarial network. And optimizing the fan blade design through adversarial training of the generative neural network and the predictive neural network, and finally outputting the optimized fan blade design. According to the method, the problems that multiple design targets such as aerodynamic performance, structural strength and cost are difficult to consider at the same time during fan blade optimization, and local optimal solutions are likely to be caught in are solved; through multi-target training, optimization design meeting multiple targets at the same time is generated, through feedback of a discriminator, the generated design is improved step by step, and the blade shape with the optimal comprehensive performance is found.

The invention discloses a low-voltage transformer area branch relation checking method, which comprises the following steps of: acquiring current and voltage data of each user in the same transformer area, and recording a matching number between current and voltage effective value cross phases; according to the recorded matching number and the normalized association strength, constructing a voltage and current change association matrix between the users; according to the incidence matrix, constructing a distance matrix based on a Pearson correlation coefficient; using a DBSCAN clustering method to carry out clustering analysis on the user to obtain a preliminary user branch; the DBSCAN clustering result is fused with the minimum spanning tree, and user branch division is optimized; branch relation checking is conducted, a final branch division result is output, and the branch division result comprises normal branches and abnormal users. The invention further discloses a corresponding system. According to the method, the existing voltage and current data are utilized, and the DBSCAN clustering and the minimum spanning tree algorithm are combined, so that accurate identification and optimization of the branch relation are realized.

The invention relates to an ultra-wideband high-performance radio frequency power amplifier based on gate source nonlinearity. One end of an SMA input connecting line is connected with a radio frequency signal source; the other end of the SMA input connecting line is connected with the input end of the input matching circuit; the output end of the input matching circuit is connected with the input end of the gate-source nonlinear control circuit; the output end of the gate-source nonlinear control circuit is connected with the gate of the power amplifier tube; the gate bias circuit is connected in parallel between the output end of the input matching circuit and the input end of the gate-source nonlinear control circuit; the drain electrode of the power amplifier tube is connected with the input end of the tuning circuit; the output end of the tuning circuit is connected with the input end of the output fundamental wave and harmonic wave matching circuit; the drain biasing circuit is connected in parallel between the output end of the tuning circuit and the input end of the output fundamental wave and harmonic wave matching circuit; the output end of the output fundamental wave and harmonic wave matching circuit is connected with one end of the SMA output connecting line; and the other end of the SMA output connecting line is a radio frequency signal output end. According to the invention, the ultra-wideband / multi-octave high-performance power amplifier is designed.

The invention provides a design method and device for a buckling-restrained brace for reinforcing a concrete frame structure, and relates to the technical field of building design. The design method for the buckling-restrained brace for reinforcing the concrete frame structure comprises the steps that a concrete frame structure design drawing of a target building is obtained; according to the concrete frame structure design drawing, the position information of the first buckling-restrained brace capable of being arranged of the target building is obtained through the buckling-restrained brace position prediction model; wherein the anti-buckling support position prediction model is a machine learning model obtained by training a training data set; and according to the position information of the first buckling-restrained brace capable of being arranged, the buckling-restrained brace design of the target building is determined. According to the method, the buckling-restrained brace design for reinforcing the concrete frame structure can be efficiently and reliably completed.

The invention belongs to the technical field of engines, and discloses a rotary detonation combustion chamber which comprises a combustion chamber body, the combustion chamber body comprises a combustion chamber shell composed of an inner sleeve structure and an outer sleeve structure, a fluid channel is formed in the combustion chamber shell, and the inlet end of the fluid channel is a combustion chamber air inlet; the fluid channel comprises a combustion chamber throat section, a first expansion section, a U-shaped groove section, a second expansion section and a combustion chamber downstream straight section which are sequentially arranged. One end of the combustion chamber throat section communicates with the combustion chamber air inlet. And the U-shaped groove section comprises a U-shaped groove fillet section and a U-shaped groove straightway section which are arranged in sequence. The whole U-shaped groove fillet section is of a topological fluid diode structure, and one end, close to the first expansion section, of the topological fluid diode structure is of an arc-shaped structure. The topological fluid diode structure provides a new view angle and a new solution for optimization of the combustion chamber, and design and development of the more efficient and more stable combustion chamber are promoted.

The invention discloses an intelligent measurement and control device and an industrial design application method, and the key points of the technical scheme are that the method comprises the construction and application of an AIGC agile industrial design model, a man-machine collaborative design process, the construction of an application normal form of an industrial product generation scene, a model optimization decision based on cognitive analysis, and the research and verification of an application case. According to the AIGC model, the design efficiency and innovativeness are remarkably improved by rapidly generating and optimizing a design scheme; through accurate demand analysis and optimization decision, it is ensured that the design scheme is highly consistent with user expectation, and the user satisfaction degree is improved; an agile design method and multiple iterative optimization ensure that the design process is efficient and accurate, and the design quality and reliability are improved; a design scheme is rapidly generated and optimized, the product development period is effectively shortened, and the market response speed and competitiveness of enterprises are improved.

The invention discloses a method for designing parameters of a main loop of a transformerless multi-terminal flexible interconnection device, and relates to the technical field of alternating-current power grid power flow control and power electronics, and the method comprises the steps: carrying out MTSNOP main loop parameter design through series converter design and parallel converter design; the design of the series converter comprises the design of the voltage, the number and the capacitance value of PFCM and PBCM submodules, the design of bridge arm inductors of the PFCM and the PBCM and the design of alternating current side equivalent filter inductors; the parallel converter design comprises parallel CMI capacity design, sub-module voltage and number design, parallel CMI sub-module capacitance value design and parallel CMI connection inductor design. According to the method, a modular design is adopted, ports are easy to expand, and the method can adapt to power systems of different scales; the reasonable parameter design can effectively improve the system transmission capacity, alleviate the line heavy load problem, optimize the transmission power flow, effectively inhibit the voltage fluctuation, and improve the voltage quality.

The invention belongs to the field of semiconductor chip design, and discloses a chip design rule violation prediction method based on deep learning, and the method comprises the steps: 1, data preparation: constructing a feature map and a target map, and enabling the feature map and the target map to jointly form data needed by a CNN linear regression training model; and 2, model training: carrying out linear regression by using a convolutional neural network (CNN) to train and evaluate a DRV prediction model. According to the method, the CNN linear regression model is adopted, factors such as multi-scale feature fusion and boundary effect are considered, the feature map is supplemented, and design rule violation can be predicted more quickly and accurately after the global wiring stage. By analyzing Gcell information and device placement data, the potential DRV number of each Gcell in the chip is predicted. According to the method, a prediction mechanism is introduced in the early stage of the design process, the design efficiency is remarkably improved, and the requirement for later modification is reduced.

The invention discloses a policy combination calculation method based on policy goal-tool multi-dimensional interaction. The method comprises the following steps: (1) collecting, collecting and cleaning policy documents; (2) constructing a policy goal and tool dictionary of the target domain; (3) extracting two types of elements, namely policy objectives and tools; (4) establishing policy goal-tool co-occurrence association; (5) analyzing a policy objective-tool multi-dimensional interaction mode, and identifying four complex policy combination design mechanisms; (6) quantifying four policy combinations; (7) exploring a spatio-temporal evolution law of regional policy combination in combination with regional attributes of the policy issuing mechanism; the present invention; by systematically constructing the relationship network between the policy goal and the policy tool, the policy combination can be more effectively designed, so that the uncertainty of the combination of the policy goal and the policy tool is reduced.

The invention relates to the technical field of melt filtering devices, in particular to a melt filtering device design method which comprises the following steps: S1, determining the structure of a melt filtering device; s2, performing strength and sealing performance calculation according to design pressure, design temperature and material parameters, calculating the thicknesses of a barrel, an upper end cover and a lower end cover, and selecting a proper sealing gasket; s3, calculating the strength of the supporting disc according to a pressure difference limit value set by a process system, and determining the size of the supporting disc; s4, calculating the pre-tightening compression amount of the sealing gasket, and calculating the depth and width of a mounting groove of the sealing gasket; s5, setting and checking the sizes and types of an inlet connecting pipe and an outlet flange according to the set pipeline load; s6, according to the heat transfer coefficients and heat loss requirements of different heating media, the equivalent heat preservation thickness is calculated, and the size of a heat preservation jacket is determined; the invention provides a method for designing a melt filtering device, which is simple, practical and quick and can ensure that a design calculation result is safe and economical.

The invention relates to the technical field of multi-component copper alloy design, in particular to high-hardness and high-conductivity copper alloy components, a process design method, a storage medium and equipment. The method comprises the following steps: establishing a quaternary thermodynamic database; the Pandat software is adopted to calculate and obtain microstructure data changing along with the Co content at different aging temperatures; an open source library pymoo is adopted to find out the Pareto front of the precipitation phase fraction and the Cu atom solid solubility; and determining the target aging time by adopting an aging experiment. Computer program instructions are stored on the storage medium, and the method is implemented when the computer program instructions are executed by a processor. The apparatus includes at least one processor, at least one memory, and computer program instructions stored in the memory, the method being implemented when the computer program instructions are executed by the processor. The high-hardness and high-conductivity copper alloy composition and process design can be efficiently achieved, and the constraint relation that the hardness and the conductivity of the copper alloy material restrict each other can be broken through.

The invention relates to an expressway interleaving area optimization method, terminal equipment and a storage medium. The method comprises the following steps: collecting traffic demand data and vehicle track data of an expressway interleaving area to be optimized; calculating lane changing rates corresponding to different interweaving area types; performing lane change rate scoring on each interweaving area type; according to the traffic flow in different flow directions, the proportions of straight movement, confluence and diversion in the three flow directions are set; calculating a conflict probability, a serious conflict probability and corresponding proportions; setting scores corresponding to the conflict probability and the serious conflict probability; calculating the safety performance of each interleaving area type in the lane changing event; setting a lane changing rate target proportion and a lane changing safety target proportion corresponding to each interweaving area type; calculating a comprehensive score of each interweaving area type; and selecting the interweaving area type with the highest comprehensive score. According to the method, traffic organization design in the aspect of safety can be effectively carried out on the expressway interweaving area.

The invention relates to the field of integrated silicon-based photonic devices and discloses a joint analog-digital reverse design method and system based on edge guidance and a silicon-based mode division multiplexer designed by the joint analog-digital reverse design method and system. According to the method, a simulation reverse design technology and a digital reverse design technology in photonic device design are combined, a simulation design structure is optimized by utilizing an adjoint method, and a simulation design result is converted into a digital structure with a relatively large feature size through guidance of an edge detection technology. In addition, digital design is optimized by adopting a direct binary search method, so that efficient pixelated design and higher process robustness are realized. The silicon-based mode division multiplexer designed based on the method supports multiplexing of five transverse electric modes, the size of the device is 10 [mu] m * 6 [mu] m, and the occupied area is remarkably reduced. The multiplexer has the advantages of low insertion loss, small inter-mode crosstalk and large processing tolerance, and the integration level and the performance of an optical communication system can be effectively improved.

The present invention provides a method for erosion gully control, which relates to the technical field of erosion gully control, including using a drone to collect images of a to-be-controlled area, generating a three-dimensional scene image of the to-be-controlled area; determining various types of construction control areas based on the gully head, gully tail and gully; performing corresponding control construction on various types of construction control areas; setting a number of monitoring cycles, performing data collection in each monitoring cycle, and evaluating the erosion gully control effect based on the data collection results. The present invention solves the technical problem that the existing erosion gully control engineering measures require manual field investigation to obtain a two-dimensional image of the to-be-controlled area before engineering planning, which is time-consuming and labor-intensive, and the image finally obtained usually has a large error, which directly affects the final control effect. At the same time, after the construction of the control project is completed, there is a lack of monitoring of the control project, and timely feedback and timely adjustment of the control effect cannot be made. It is only static control, and the control effect cannot be scientifically evaluated.

The invention provides a laminated thermoelectric-piezoelectric hybrid energy collector. The collector comprises a laminated thermoelectric conversion unit and a piezoelectric conversion unit. The thermoelectric conversion unit comprises a heat-conducting sheet, a thermoelectric material, a conductive copper sheet, a load resistor and a wire. The piezoelectric conversion unit comprises a substrate layer cooling fin, a piezoelectric plate and a mass block. According to the hybrid energy collector, the thermoelectric conversion unit and the piezoelectric conversion unit are integrated, the thermoelectric energy converter and the piezoelectric energy converter are combined into a hybrid energy collection device, environmental waste heat and environmental wind energy are converted into electric energy at the same time, the manufacturing cost of the energy collector is reduced, and meanwhile the environmental energy utilization efficiency is improved. According to the device, heat energy generated by the waste heat discharging device and environmental wind energy can be fully utilized at the same time for recycling power generation capacity, high energy collection efficiency is achieved, the device is simple and stable, the practicability of the device is improved, and good application prospects are shown in the field of energy collection.