64results about How to "Verify rationality" patented technology

The invention discloses a stationary pollution source data acquisition and calibration method and system, a medium and a program product, and the method comprises the steps: carrying out the segmentation processing of a plurality of concentration change data, and obtaining a plurality of data segments; determining the concentration change trend of various pollutants, and calculating a correlation coefficient matrix; the Euclidean distance value between the correlation coefficient matrix of the current data segment and each correlation coefficient matrix before sorting is calculated; when the Euclidean distance is greater than a preset threshold value, marking the corresponding data segment as an abnormal data segment; determining the pollutant as a target pollutant, and establishing a material balance equation; based on the material balance equation, generating a theoretical concentration change curve of the target pollutant; calculating a deviation value, and when the deviation value exceeds a preset dynamic error limit value, determining a sensor correction coefficient according to the process parameters; and carrying out calibration processing on the acquired data of the target pollutant according to the sensor correction coefficient. According to the invention, the accuracy of data acquisition and calibration of the stationary pollution source is improved, so that the influence on formulation and execution of pollution prevention and control measures is reduced.

The invention relates to the technical field of building data processing, and particularly discloses an urban and rural building deformation intelligent detection and prediction method and system, and the method comprises the steps: collecting the structure data, environment data and cumulative service life of urban and rural buildings, and the deformation data of each key monitoring point; processing the deformation data to obtain a building deformation degree evaluation parameter, processing the structure data to obtain a building structure stability coefficient, processing the environment data to obtain an environment interference value, and performing comprehensive analysis to obtain a building safety evaluation value; and deformation monitoring and early warning are carried out on urban and rural buildings. According to the urban and rural building deformation intelligent detection and prediction method and system provided by the invention, the safety performance condition of the building can be intuitively reflected, a scientific basis is provided for taking corresponding repair, reinforcement or reconstruction measures according to the evaluation value, and the building with a relatively high evaluation value can be obtained through evaluation, so that the safety performance of the building is improved. And the living satisfaction of residents can be improved.

The invention relates to the technical field of geological disaster risk evaluation research, in particular to a collapse geological disaster risk evaluation method and system of a transformer substation structure damage model. The collapsed dangerous rock mass is investigated in detail, the stability is evaluated through a stereographic projection method, and the instability probability is calculated through a Monte Carlo method; fLAC3D and PFC3D are coupled to simulate a collapse dynamic process, and risk evaluation is completed in combination with ArcGIS; establishing a transformer substation electrical facility physical model and a structural damage model; establishing a vulnerability evaluation model based on the collapse rockfall impact strength and the electric facility structure resistance; and performing risk evaluation by adopting a matrix analysis method, and estimating economic loss. The invention further comprises corresponding system implementation. According to the method, by combining geological survey, numerical simulation and structural analysis, comprehensive quantitative evaluation of the collapse disaster risk of the transformer substation is achieved, the accuracy, reliability and pertinence of evaluation are improved, and a scientific basis is provided for disaster prevention and reduction of the transformer substation in the mountainous area.

The invention discloses an electric vehicle charging path planning method based on a dynamic energy consumption model and road network information. According to the method, the influence of different temperatures on the battery capacity is analyzed according to the charging and discharging experimental data of the lithium battery, the power consumption generated in the driving process of the electric vehicle is analyzed, and a refined air conditioner energy consumption model and a mileage energy consumption model are established. Based on an improved A * algorithm, a method for searching a reachable path with the minimum energy consumption according to the residual electric quantity of a vehicle-mounted battery, the position of a charging station and the real-time road condition is established. The A * algorithm of the model solving algorithm serves as an optimal priority search algorithm in graph theory search methods, and the optimality requirement can be met by reasonably designing a function; and meanwhile, aiming at an urban road network, a heuristic A * algorithm is adopted to be matched with the path optimization solution of a large-scale traffic network in a road-electricity coupling scene. The effectiveness of the provided model in the charging path decision is verified by respectively comparing three targets of time optimization, path optimization and comprehensive energy consumption optimization provided by the invention.

The invention relates to an electric power system broadband measurement method and system based on a wavelet packet and SVMD, and belongs to the technical field of electronic measurement. The method comprises the following steps: acquiring frequency information corresponding to a circuit signal of each measurement point in a circuit system; performing wavelet packet decomposition on the frequency information, and determining an optimal wavelet basis for broadband measurement of the power system; performing multilayer decomposition on the frequency information according to the optimal wavelet basis to obtain a plurality of wavelet frequency bands; performing component extraction on the wavelet frequency band to obtain a harmonic component corresponding to the wavelet frequency band; de-noising the harmonic components by using a wavelet coefficient correlation algorithm to obtain de-noised harmonics; decomposing the noise reduction harmonic wave according to an EMD algorithm to obtain a signal residual error meeting a preset stop condition; and calculating to obtain measurement and calculation data corresponding to each harmonic waveform according to the signal residual error. According to the technical scheme, the time-frequency characteristics of the signals can be captured more accurately, and the method has better performance on non-stationary signals and signals with complex frequency structures.

The invention relates to an inter-stage thermal separation equivalent simulation test method based on explosion impact, and belongs to the technical field of tests. According to a mass and energy conservation equation, an initial corresponding relation between # imgabs0 # and flow parameters is established; the advanced corresponding relation between the # imgabs1 # and the flow parameters is obtained; establishing a calculation formula of the # imgabs2 # and the # imgabs3 #; establishing a relation equation for equivalently replacing combustion of the rocket engine with explosion of the explosion shock tube; solving unknown parameters in the relation equation according to the relation equation of equivalently replacing combustion of the rocket engine with explosion of the explosion shock tube, and adjusting the parameters according to a solving result to realize a jet flow effect generated by equivalently replacing combustion of the rocket engine with explosion of the explosion shock tube; according to the invention, by modulating the initial parameters of the explosion shock tube, equivalence of pulsating pressure effects at different positions in the interstage section is realized in the process of simulating the work of the engine.

The invention provides a network construction type energy storage converter multi-machine parallel semi-physical simulation platform, which comprises an energy storage converter control case, an energy storage converter simulation server, a regional power grid simulation server and an upper computer controller, the regional power grid simulation server is connected with the energy storage converter simulation server, the energy storage converter controller and the upper computer in sequence; the simulation platform performs joint simulation on the constructed regional power grid model and the semi-physical model of the energy storage converter, modifies the short-circuit ratio of the regional power grid model, switches a load to produce power grid voltage frequency fluctuation or broadband oscillation, and tests the anti-interference capability of the network construction type energy storage converter under the large disturbance of the power grid. Under the small disturbance of the power grid, the self-supporting effect on the frequency of the power grid is achieved; through interconnection of the energy storage converter simulation service chassis and the energy storage converter simulation server, the operation condition of the energy storage converter in an actual regional power grid is simulated, the grid-connected point power flow is calculated and analyzed, and the rationality of a grid frequency support algorithm of the network construction type energy storage converter is verified.

The invention discloses a rock uniaxial compression damage model considering microcrack mechanical behaviors. The model reflects that rock damage is caused by slippage and extension of microcracks. According to a microcrack slippage model and an energy balance principle, a rock uniaxial compression stress-strain relationship is established, and it is considered that microcracks obey a Weibull distribution model. And further taking a strain energy density criterion as a microfracture propagation criterion, solving the wing crack propagation length of the composite fracture by adopting an iteration method, and obtaining a rock damage variable evolution equation represented by the wing crack propagation length. Therefore, a rock uniaxial compression damage model is provided, and the rationality of the rock uniaxial compression damage model is verified. Parameter sensitivity analysis is adopted to research the influence of the microcrack length, the friction coefficient and the rock fracture toughness on the mechanical properties of the rock. Research results show that macroscopic mechanical properties of the rock are macroscopic reflection of microscopic mechanical parameters of the rock, so that the rock damage constitutive model established from the microscopic perspective can better reveal the deformation and failure mechanism of the rock, and the rock damage constitutive model has a good application prospect.

The invention relates to a combustion chamber of a scramjet engine, which adopts kerosene as a cooling medium to realize phase change sweating cooling of the combustion chamber (7). The kerosene comes from a propellant of a scramjet engine and is stored in the hypersonic aircraft; a supporting plate (10) is arranged in the combustion chamber (7), a fixed wall surface (1) and a porous wall plate (2) are arranged on the supporting plate (10), the porous wall plate (2) is embedded and fixed in the fixed wall surface (1), and an increasing bag cavity (4) is formed in the inner side of the porous wall plate (2); according to the combustion chamber, phase change sweating cooling of the combustion chamber is achieved, meanwhile, the temperature of kerosene serving as fuel is increased, and the afterburning effect is achieved.

The invention discloses a train bogie snaking state identification method based on wheel set motion state characteristics, which comprises the following steps of: S1, acquiring acceleration signals of a train framework, and selecting transverse acceleration signals and longitudinal acceleration signals of the framework as signals for representing the wheel set motion state; s2, performing filtering and time-frequency transformation processing on the signal representing the motion state of the wheel set to obtain snaking motion characteristics; and S3, inputting the snaking motion features into a snaking monitoring network, and outputting a snaking state classification result. According to the method, a framework acceleration signal capable of indirectly reflecting the motion state of the wheel set is selected as a feature extraction target, and meanwhile, a CNN feature fusion network is adopted as a snaking monitoring network to extract feature information; according to the method, snaking states of different degrees can be identified by combining time domain and time frequency domain information characteristics of transverse and longitudinal acceleration of a framework, and snaking motion state identification with higher fine granularity is realized.

The invention provides a model design method for a large aircraft component icing wind tunnel test. The model design method comprises the steps that the large aircraft component for the icing wind tunnel test and the size of an icing wind tunnel test section are determined; according to the size of an icing wind tunnel test section, segmenting a part model used for a test in the full-aircraft model; rectifying the segmented part model; key parameters of the rectified component model are calculated; key parameters of the whole-aircraft model and the component model are compared, and whether the component model can effectively represent the icing characteristics of the whole aircraft in the area or not is evaluated; and after repeated iterative optimization is carried out until the component model meets the test requirement, it is considered that the test model is successfully designed, and the current component model is determined as the model shape for the icing test. According to the invention, the complex flow field of the complex part of the large aircraft can be accurately simulated, so that the icing condition of the complex part of the large aircraft can be accurately simulated.

A method for constructing a damage constitutive model to analyze the damage evolution of easily argillaceous rocks includes: preparing ore specimens; conducting acoustic emission tests on the ore specimens under uniaxial compression; obtaining the displacement, load, and acoustic emission parameters of each specimen; calculating and analyzing the characteristic stresses of easily argillaceous rocks under uniaxial compression; revealing the evolution characteristics of acoustic emission parameters under uniaxial compression; defining the damage variables at different characteristic stress stages; and constructing a damage constitutive model of the entire stress-strain process of easily argillaceous rocks. This method can accurately and comprehensively quantitatively analyze the strength evolution characteristics of easily argillaceous rocks under uniaxial compression, monitor the damage evolution characteristics and damage degree of easily argillaceous rocks in real time, and provide a reference for maintaining the stability of underground goaf areas in mines.

The invention relates to the technical field of vehicle testing, in particular to a frame assembly risk point prediction method, which comprises the following steps of: constructing a virtual rack, a frame assembly rigid-flexible coupling model and a suspension template in dynamics software, and assembling to form a frame assembly virtual model; the method comprises the following steps of: acquiring road load data of the whole vehicle based on an actual vehicle, and distinguishing key channels representing the load of a frame assembly; carrying out iterative operation on whole vehicle road load data acquired by an actual vehicle in the vehicle frame assembly virtual model, and extracting load spectrums of all attachment points of the vehicle frame assembly under various loading conditions; and according to a fatigue damage distribution result, carrying out service life calculation and risk prediction on the assembly in combination with a damage theory, and completing frame optimization design. According to the method, the real load of the global attachment point of the frame assembly can be reproduced, the load history of the typical loaded working condition is extracted for calculating the service life of each design scheme and determining the risk point, the optimization efficiency of each design scheme is improved, and the development period is shortened.

The invention discloses a knowledge acquisition method and system based on causal inference, and belongs to the field of natural language processing. The method comprises the following steps: firstly, constructing a causal graph by identifying a causal dependency relationship between events in a text; secondly, inputting a process text containing missing steps and candidate steps, extracting events, judging whether a causal relationship exists or not through a causal graph, and taking related causal information as additional features; and respectively calculating probabilities that the candidate steps contain and do not contain the dominant entity, coding through the two models, and calculating probabilities that the candidate steps are used as missing steps in combination with a multi-layer perceptron. And finally, comparing the probabilities of all the candidate steps with a negative class threshold, and determining the candidate step which most accords with the condition or judging that the correct step does not exist. According to the method, the causal relationship between events is additionally introduced, so that the more accurate knowledge acquisition capability is realized.

The invention discloses a coordinated scheduling method and device for a multi-energy complementary system, and a storage medium. The method comprises the steps of obtaining pre-scheduling data of multiple historical periods and pre-scheduling data of a next period chained on multiple target nodes in the multi-energy complementary system from a block chain; wherein the pre-scheduling data is data obtained by predicting power supply and demand conditions of all subjects in the multi-energy complementary system in each time period by a plurality of target nodes by using respective prediction models; the plurality of target nodes comprise a photovoltaic node, a wind power node, a thermal power node, an energy storage node and a power grid electricity purchasing node; determining scheduling data of all main bodies in the multi-energy complementary system in the next time period based on the pre-scheduling data of the plurality of historical time periods and the pre-scheduling data of the next time period; and uploading the scheduling data to the block chain, and performing coordinated scheduling on the power resources of the plurality of target nodes according to the scheduling data in the next time period.

The invention relates to the technical field of new energy commercial vehicle cooling system performance matching, and discloses a new energy commercial vehicle cooling system heat transfer performance matching simulation method comprising the following steps: installing a to-be-tested fan matched with a radiator on a test bench, and carrying out running-in; adjusting the rotating speed of the to-be-tested fan, and establishing stable 0PA static pressure difference and air inlet temperature on the air inlet side and the air outlet side of the to-be-tested fan until the working state is stable; rotating speed-air volume data of the fan to be measured are measured, a curve is drawn, and a rotating speed-air volume mathematical model formula is fitted; a to-be-tested fan, a radiator and an engine are integrally installed in a profiling mode; and performing a cooling system performance test. According to the heat transfer performance matching simulation method for the cooling system of the new energy commercial vehicle, the heat transfer performance and the flowing performance of the cooling system of the new energy commercial vehicle are simulated and tested.

The invention belongs to the technical field of digital factories, and relates to a digital twin system suitable for an aircraft engine product production line and a design method of the digital twin system. The digital twinning system suitable for the aircraft engine product production line comprises a production equipment layer, a network sensing layer, a twinning data layer, a twinning model layer and a twinning application layer, the production equipment layer comprises multiple types of aircraft engine product production line equipment; the network sensing layer comprises an industrial control network sensor and a park network system; the twin data layer is used for storing real-time monitoring data, production operation data and equipment maintenance data; the twinborn model layer constructs a twinborn environment, a business logic model and an analysis model based on real-time monitoring data, production operation data and equipment maintenance data; and the twinning application layer performs production process monitoring, production process simulation and production line performance display according to the twinning environment, the business logic model and the analysis result. The digital twin system can realize real-time online monitoring, simulation, prediction and optimization.

A knowledge graph expansion and completion method of a heuristic bionic knowledge grafting strategy comprises: step one, construction of a process model of heuristic bionic knowledge grafting: inspired by horticultural grafting technology, models of knowledge scion, knowledge stock and knowledge tree in the process of bionic knowledge grafting are constructed; step two, design of a guarantee mechanism for heuristic bionic knowledge grafting: based on the construction of the above-mentioned knowledge grafting process model, four specific implementation guarantee mechanisms for bionic heuristic knowledge grafting are designed, including completeness, relevance, connectivity and reusability, so as to ensure that the knowledge entity elements of engineering field technology and methods are quickly expanded to manufacturing knowledge graph and application; step three, knowledge graph expansion and completion configuration based on natural language processing; the present invention adopts natural language processing technology to improve the quality and speed of the knowledge graph expansion and completion process, realizes the automatic expansion and completion of the knowledge graph, and enhances the decision-making knowledge service capability of the knowledge graph.

The invention discloses an uncertainty model prediction and evaluation method based on construction quality big data, and the method comprises the steps: dividing construction data into construction quality influence factors and construction quality test results, and building a database; and constructing an uncertainty evaluation model between the construction quality influence factors and the construction quality test results under the single effect and the coupling effect, and predicting and evaluating the construction quality test results obtained under different construction quality influence factors except the database based on the model. The method not only can predict the accuracy of the construction quality in a project, but also can expand and verify the quality reliability of different construction parts, and verifies the rationality of detection data.

The invention belongs to the field of alloy design, and discloses a metastable beta titanium synthesis component design method based on specific orientation modulus. According to the specific orientation modulus method, the relation between alloy design parameters and a heat-induced metastable phase change mechanism and a stress-induced plastic deformation mechanism is established, and the softening effect of the specific orientation modulus is beneficial to shearing, recombination or collapse of atoms in corresponding orientation; the formation sequence of a metastable phase and transformation of a plastic deformation mode are determined by the competitive relationship of moduli. The elastic constant and the specific orientation modulus of a multi-element alloy system are obtained through calculation according to the first principle, the specific orientation modulus of typical beta-type titanium alloy is calculated, and specific orientation modulus ranges corresponding to different heat-induced metastable phase change mechanisms and stress-induced plastic deformation mechanisms are determined; the relevance between alloy components and a heat-induced metastable phase change mechanism and a stress-induced plastic deformation mechanism is established through specific orientation modulus parameters, so that the design of the metastable beta titanium alloy is guided. According to the method, the problems of low research and development efficiency and high research and development cost in a traditional alloy design method are solved, and the metastable beta titanium alloy can be accurately and efficiently designed.

The invention relates to the technical field of knowledge graphs, and discloses a construction rule judgment method, device and equipment based on a knowledge graph, and the method comprises the steps: obtaining construction rules, construction requirements and safety specifications of a general plane of a construction site, and building a basic rule database; expanding the basic rule database into a generalized rule database; preprocessing the generalized rule database, and standardizing a text format and an expression mode of each rule; performing feature extraction and reference classification on the preprocessed generalized rule database, and constructing a construction rule judgment knowledge graph; according to the received judgment conditions input by the user, retrieval is carried out in the construction rule judgment knowledge graph, judgment results including logic correctness, step feasibility and time sequence rationality are output, the judgment conditions input by the user are judged through the construction rule judgment knowledge graph, an effective management tool is provided for construction management, and the construction management efficiency is improved. And the management efficiency and the management quality are improved.

The application discloses a kind of power power balance calculation method and system based on machine learning, belong to electric power system optimization scheduling technical field, will deep neural network and optimization calculation be combined, adopt the strategy of integer variable reduction, the operation state of most thermal power units is determined in advance by Seq2Seq-Attention model, the input of model is the relaxation solution of operating state and scene curve data, and the output is the operating state of thermal power unit, so as to reach the effect of improving the calculation speed of power power balance problem, the acceleration effect evaluation index designed and the acceleration effect verification method based on variable time scale scene generation are used to verify the acceleration effect of the fast calculation method, which has high precision and strong practicability.

The invention relates to a composite material-metal hybrid structure impact dynamic response analysis method. The method comprises the following steps: S1, simplifying an impact load according to the impulse size of the actual impact load within saturation response time; s2, when the actual deformation of the fiber metal laminated plate is increased until the fibers are damaged, analyzing and calculating the influence degree of the rigidity reduction coefficient of the introduced fiber composite material layer on the damage; and S3, according to different deformation modes of the actual fiber metal laminated plate under the impact load, performing dynamic response calculation in stages. According to the method disclosed by the invention, the influence of the reduction coefficient of the large deformation damage stage of the fiber metal laminated plate and the boundary slippage of the test piece can be considered from a fiber metal laminated plate response theoretical analysis model under the impact load; and calculating the theoretical model by stages through software programmed by Matlab. The method for effectively evaluating the dynamic response of the fiber metal laminated plate under the impact load is a method for effectively evaluating the dynamic response of the fiber metal laminated plate under the impact load.

The invention relates to an interstage thermal separation equivalent simulation test method based on explosion impact, belonging to the field of test technology; according to mass and energy conservation equations, an initial corresponding relationship between and flow parameters is established; an advanced corresponding relationship between and flow parameters is obtained; a calculation formula of and is established; a relationship equation of the explosion shock tube explosion equivalent to replacing rocket engine combustion is established; according to the relationship equation of the explosion shock tube explosion equivalent to replacing rocket engine combustion, the unknown parameters are solved, and the parameters are adjusted according to the solution results to achieve the jet effect produced by the explosion shock tube explosion equivalent to replacing rocket engine combustion; the invention realizes the equivalent of the pulsating pressure effect at different positions in the interstage section in the process of simulating engine operation by modulating the initial parameters of the explosion shock tube.

The invention provides a blade vibration test device and test method, and the device comprises an installation seat which is used for installing a tenon of a blade; the vibration exciter is used for applying vibration to the blade on the mounting seat; and the loading device is used for applying torque and / or pulling force to the blade crown of the blade positioned on the mounting seat. It can be seen that by applying torque or tension in a blade vibration test, the vibration test can be close to a real blade working state as much as possible, obtained test data approach to real blade vibration characteristics, the influence of blade crown pre-twisting, pre-tensioning and the like on the vibration characteristics is effectively verified, and the reasonability of blade crown design is verified; and test data support is provided for blade optimization design.

The invention provides a sampling method for a cylindrical forge piece of a reactor pressure vessel, and relates to the technical field of manufacturing and production of cylindrical forge pieces of reactor pressure vessels. The sampling method comprises the following steps: according to the shape characteristics of the cylindrical forge piece, cutting samples at different parts of a nozzle end and a riser end of the cylindrical forge piece, carrying out chemical component analysis, metallographic inspection and mechanical property test on the samples at each part, and reflecting the quality of the cylindrical forge piece according to the performance test result of each part. By cutting the most representative sampling point, various technical indexes of the cylindrical forge piece of the reactor pressure vessel in the process evaluation stage can be comprehensively and effectively evaluated, and meanwhile, the rationality and feasibility of the manufacturing process of the cylindrical forge piece can be verified.

The invention relates to the technical field of ancient building protection and repair, and discloses an ancient building wood framework deformation grading tension reset construction and acceptance method, which comprises the following steps: scanning a wood framework by adopting three-dimensional laser scanning equipment, quantitatively analyzing deformation and calculating a deviation correction amount; according to the deviation correction amount, a graded tensioning scheme including local advanced deviation correction and overall synchronous deviation correction is formulated, closed-loop control of graded loading and load-holding voltage stabilization is executed through a collaborative tensioning and monitoring system in construction, and a tensioning strategy is adjusted in real time; after resetting is completed, a model is generated through three-dimensional laser scanning again, and quantitative evaluation of multi-dimensional indexes such as column grid resetting precision, mortise and tenon joint sealing degree and elevation levelness is carried out; and long-term stability monitoring is carried out on the wood framework. According to the method, through full-process digitization and closed-loop control, the precision, safety and controllability of resetting are improved, an objective quantitative evaluation basis is provided for the repairing effect, and long-term structural stability after resetting is guaranteed.

The invention provides a system reliability evaluation and verification method based on life mixed distribution aiming at the feasibility problem of prolonging the maintenance cycle interval of an equipment system, which is a complete complex system reliability evaluation and verification method comprising random truncation data processing, reliability modeling and parameter estimation. A system basic mixed distribution reliability evaluation model is established through a mixed distribution principle, a mixed distribution model point estimation value is solved through an EM algorithm of random truncation data, namely an Expectation Maximization Algorithm algorithm, also known as an expectation maximization algorithm, and the solved mixed distribution model is used for checking the rationality of the system for prolonging the maintenance interval. And finally, the rationality and feasibility of the hybrid distribution model applied to reliability evaluation of the equipment system are verified, and the change condition of the reliability of the system in the operation process is given.

The invention designs an internal circulation cooling bone cutting tool based on a 3D printing technology. The internal circulation cooling bone cutting tool comprises the steps that 1, a tool internal structure capable of achieving internal circulation cooling of cooling liquid is designed and established; and 2, a three-dimensional model and a finite element model of the cutter are constructed, the effectiveness of the models is verified by analyzing stress distribution, deformation displacement and frequency sweeping operation, then the availability and rationality of a cooling liquid channel are verified by simulating the introduction of cooling liquid, and the models can be used for subsequent thermodynamic analysis. 3, the 3D printing technology is utilized, and the 45 steel material is used for printing the tool model in the step 2. And 4, carrying out mechanical analysis and experiment on the printed cutter, and analyzing the mechanical property of the cutter.

The invention discloses a preparation method of a high-gain photoelectric detector, and relates to the technical field of photoelectric detectors, and the method comprises the steps: S1, structural design: selecting a corresponding photoelectric material to manufacture an avalanche photodiode according to the application scene requirements and the working environment of the detector, the method comprises the following steps: S1, preparing a semiconductor wafer, S2, preparing the wafer, namely cleaning the semiconductor wafer by using an ultrasonic cleaning agent and a chemical solution, S3, treating the material, namely performing doping operation, and injecting ions containing phosphorus and boron elements into a semiconductor material by using an ion accelerator, S4, performing gain optimization, namely optimizing a circuit by using a Cascode technology, connecting circuits of two transistors, and performing gain optimization. S5, packaging and integrating: packaging the manufactured chip into a shell; according to the photoelectric detector, the circuit of the semiconductor is optimized by using a Cascode technology, the gain of the photoelectric detector can be improved by adjusting the bias voltage of the circuit, configuring the gain circuit and processing external signals, and meanwhile, the influence on output impedance is reduced, so that the high-frequency performance and the linearity of the whole circuit are improved.