658results about How to "Efficient construction" patented technology

The invention discloses an LLM capability enhancement method of a hybrid enhancement strategy, and particularly relates to the technical field of natural language processing. The method comprises the following steps: obtaining corpus data and external literature data of a target application field, carrying out denoising, word segmentation and semantic indexing processing, and establishing a searchable heterogeneous knowledge base; secondly, classifying the corpus data by adopting a topic analysis and word vector clustering method to form a basic corpus set; performing multi-round parameter updating on the large language model by using a domain fine tuning algorithm based on the basic corpus set, and setting a fusion threshold value between a new parameter and an original parameter; and retrieving related literature fragments from the heterogeneous knowledge base through a matching algorithm, screening content conforming to field correlation by utilizing semantic similarity evaluation, fusing the content with the fine-tuned model, processing a fusion result by adopting a context fusion algorithm and an entity linking method, completing syntactic analysis, and generating a precise solution oriented to the target application field.

The invention provides a knowledge graph construction system and method based on cue words, and the method comprises the steps: determining a mapping relation corresponding to an obtained unstructured document set through a data collection module, and transmitting the mapping relation to a vector data storage module; sending the obtained rule extraction file to an automatic cue word generation module to obtain a target template, and distributing the target template to a problem auditing module and a cue word judgment module; the vector data storage module obtains vectorized data based on the mapping relation and stores the vectorized data to a vector database; the problem auditing module audits a drawing instruction input by a user according to the template, and if the auditing is passed, the drawing instruction is sent to the cue word judgment module, so that the cue word judgment module inputs the corresponding template and the drawing instruction into the intelligent reasoning and executing module, the drawing instruction is embedded into the template and then is transmitted into a preset large language model, the drawing instruction is disassembled, and the drawing instruction is sent to the intelligent reasoning and executing module. And according to a disassembling result, querying a vector database and calling related tools, so that efficient and accurate knowledge graph construction is realized.

The invention discloses a limited micro-space pile foundation construction method based on a multifunctional pile machine, and belongs to the technical field of constructional engineering pile foundations. The limited micro-space pile foundation construction method comprises the following construction steps that S1, a matched drilling tool is selected according to the type of a pile foundation, wherein the type of the pile foundation at least comprises one of a cast-in-situ bored pile, a stirring pile, a high-pressure jet grouting pile and a threaded expanding body steel pile; s2, pile machine equipment is assembled and placed in place, wherein the pile machine equipment comprises a main machine assembly, a drilling rig assembly, a power head assembly and a multi-channel telescopic drilling rod; and S3, pile foundation construction is conducted, specifically, corresponding pile machine equipment and auxiliary equipment are started according to different pile foundation technologies to conduct pile foundation construction. According to the multifunctional pile machine, various pile foundation types can be constructed on one pile machine, the power head with the multi-channel flow divider and the multi-channel telescopic drill rod are matched, so that the pile machine can achieve efficient and environment-friendly pile foundation construction in a limited space, the adaptability and the integration degree of equipment are improved, continuous work in construction is reduced, and the construction efficiency is improved. And the construction efficiency is improved, and various geological conditions and construction requirements can be met.

The invention discloses a vertical field large model-oriented high-quality data set construction method and system, and relates to the technical field of text processing, and the method comprises the steps: selecting seed text data, carrying out long text processing, segmenting the seed text data into a plurality of text segments, processing the text segments by using a large model tool to generate seed question and answer pairs, and constructing a seed question and answer pair; auditing and optimizing are carried out according to a preset auditing standard; making an instruction generation data set for the cue word, the text fragment and the seed question and answer pair according to a preset organization rule, performing fine adjustment on a pre-selected base model by using the instruction generation data set, and performing iterative optimization on the large model by testing the performance of the large model after fine adjustment and adjusting and optimizing parameters, thereby obtaining an intelligent extraction large model IELM; and based on the intelligent extraction big model, processing the text data by utilizing a preset script code, automatically generating knowledge question and answer pair data corresponding to the text data, and performing format conversion processing to obtain an instruction data set which is used for a training data set of the vertical domain knowledge big model.

The invention provides a robot joint dynamic cable made of a self-repairing polyurethane material and a preparation method of the robot joint dynamic cable, and belongs to the field of cables. Polytetrahydrofuran glycol and hexamethylene diisocyanate react to form a soft and hard segment structure, 1, 4-butanediol is added for chain extension, dopamine hydrochloride is introduced, the hard segment structure is enhanced, and a self-repairing hydrogen bond network is formed; carbon nanotubes are introduced, and through plasma treatment and silane coupling agent modification, the tensile resistance, fatigue resistance and electrical properties of the material are improved; montmorillonite is compounded with polyethyleneimine through organic treatment, so that the cracking resistance and wear resistance of the material are enhanced; epoxy groups are introduced to the surface of boron nitride, and dopamine hydrochloride is self-polymerized, so that excellent heat dissipation capability and dimensional stability are provided. Through the synergistic effect of the components, the composite material has excellent mechanical properties, electrical properties, heat dissipation, wear resistance and the like, is especially suitable for a dynamic cable of a robot, and can stably work in a complex environment for a long time.

The invention discloses a wind generating set abnormal state detection and joint interpretation method and device. The method comprises the steps that multi-dimensional operation data are acquired from an SCADA system of a wind generating set and preprocessed; clustering by adopting a k-means clustering algorithm, and selecting the calculated center features of the center cluster to construct a new feature data set; training a wind turbine generator abnormal state detection model by using a classification decision lifting algorithm, and detecting and identifying an abnormal state; establishing a simplified model output by the detection model, calculating a global contribution degree of an input feature to an abnormal state detection result by using an SHAP algorithm, and providing global explanation; establishing a local model of the detection model instance, generating local explanation for a specific abnormal instance by adopting an LIME algorithm, and analyzing contribution of key features in the specific abnormal instance; according to the method, the accuracy and interpretability of anomaly detection of the wind generating set are improved, so that solid data support and theoretical basis are provided for maintenance and optimization of a complex system.

The invention belongs to the technical field of gene engineering, and discloses a schizochytrium limacinum gene engineering strain capable of efficiently producing EPA (Eicosapentaenoic Acid). The gene engineering strain is obtained by replacing key catalytic structural domains orfA, orfB-KSB / CLF in a schizochytrium limacinum PKS pathway with corresponding functional domains in a heterologous EPA type PKS pathway. The gene engineering strain can improve the proportion of polyunsaturated fatty acid in the gene engineering strain, especially eicosapentaenoic acid. EPA generated after fermentation of the obtained schizochytrium limacinum genetic engineering strain orfA:: PfaA and KSB / CLF:: PfaC reaches 4.24% and 10.19% of the total grease content respectively, the EPA content is increased by 2.52 and 7.47 times respectively, and compared with an existing schizochytrium limacinum wild type strain, the EPA yield is greatly increased, which shows that the method provided by the invention has extremely high application potential.

The invention belongs to the technical field of genetic engineering, and discloses a Yarrowia lipolytica engineering strain capable of efficiently producing eicosapentaenoic acid through a cofactor strategy, Yarrowia lipolytica Po1f is used as an original strain, and genes of delta 9 elongase, delta 8 desaturase, delta 5 desaturase and delta 17 desaturase are over-expressed, so that the eicosapentaenoic acid can be efficiently produced. And simultaneously overexpressing glucose-6-phosphate dehydrogenase (G6PDH) and malic enzyme (ME) to obtain the gene. The construction method is suitable for constructing a genetic engineering strain for producing eicosapentaenoic acid, the aim of simply, conveniently, effectively and accurately constructing the strain is achieved, the constructed engineering strain is further applied to production of eicosapentaenoic acid, and an effective way is provided for commercially producing eicosapentaenoic acid by applying yarrowia lipolytica.

The invention provides a 3D printing lining ground test device fusing in-situ laying of reinforcing steel bars. The device comprises a stirring and pumping module, a 3D printing lining module, a 3D printing lining mechanical arm, a reinforcing steel bar in-situ laying module, a reinforcing steel bar in-situ laying mechanical arm and a tunnel ring, the 3D printing lining module comprises a spray head, and the reinforcing steel bar in-situ laying module comprises a flexible reinforcing steel bar clamping head and a structured light camera; the stirring and pumping module stirs to prepare a fresh concrete material and pumps the material to the 3D printing lining module, the material pumped to the 3D printing lining module is printed in the tunnel ring through the spray head, and the flexible steel bar clamping head clamps and places a steel bar on the printed concrete. And the structured light camera scans the tunnel section morphology and the surface morphology of the printed lining part, and provides data support for motion planning of the mechanical arm. The method has great application potential in simplifying the lining construction process and efficiently building the long-term stable tunnel.

The invention provides a sound source localization method based on an improved particle swarm algorithm. Comprising the following steps: selecting a sound source positioning scene, acquiring a measurement data set by using a microphone array, and establishing a mathematical model; initializing the positions and speeds of the particles, and calculating the fitness value of each particle to evaluate the distance between the current position of the particle and the target solution; setting an inertia weight to control the influence of the current speed of the particles on the new speed, and setting an individual learning factor and a social learning factor to control and coordinate the behaviors of the particles in the search space; setting an iteration control condition, combining with a hybrid optimization algorithm, and utilizing a boundary processing strategy to carry out iteration updating of particles; and after iteration updating is completed, error analysis is performed on a sound source positioning result, and the particle swarm optimization algorithm is continuously optimized by using an optimization strategy according to an analysis result. The method can effectively improve the sound source positioning precision and algorithm performance, is suitable for a complex acoustic environment, and provides an efficient and feasible solution for the application in the acoustic field.

The invention relates to a composite coating based on modified polyaspartic acid ester, a terrace system and a construction method of the terrace system, and belongs to the technical field of terrace coatings. The composite coating provided by the invention comprises a bottom layer coating, a middle layer coating and a surface layer coating, the prime paint comprises the following components: specific organic silicon modified polyaspartic acid ester prime coat resin; the component of the middle-layer coating comprises specific polyaspartic acid ester floating coat resin; and the component of the surface layer coating comprises specific imide modified polyaspartic acid ester surface coating resin. The invention also provides a terrace system formed after construction of the composite coating, the terrace system has the advantages of crack resistance, compression resistance, moisture resistance, skid resistance, high adhesion, high strength, high wear resistance, yellowing resistance, long service life and the like, does not contain a solvent, avoids environmental pollution caused by volatilization, can keep excellent performance for a long time when being used for outdoor pavements, and has a wide application prospect. The problems of poor applicability, bubbling cracking, yellowing and the like of the existing floor coating in an outdoor severe environment are solved, the application range is wide, and the application value is high.

The invention discloses an offshore single-pile structure foundation and a construction method thereof, the offshore single-pile structure foundation is composed of a main pile, a suction barrel assembly and a grouting sealing cover, the outer part of the main pile is annularly sleeved with the suction barrel assembly, and the top of the suction barrel assembly is provided with the grouting sealing cover. The structural form that the variable-diameter single pile and the multi-subdivision annular suction barrel are combined is adopted, the advantages of extremely high vertical bearing of the single pile and horizontal reinforcing supporting of the suction barrel are fully played, the horizontal swing load resisting capacity of the single pile on the mud surface section is effectively improved, and the horizontal swing load resisting capacity of the single pile on the mud surface section is effectively improved through horizontal reinforcing of the external suction barrel structure. Meanwhile, the structural rigidity is improved, the stability is improved, and long-term use is stable and reliable; the independent center supporting sleeve is arranged in the middle of the suction barrel assembly, so that when a single pile is scoured, the inner ring of the suction barrel can avoid a scouring pit, self-sinking sealing is achieved without being affected, the suction barrel can smoothly sink to the designed depth, and the bearing requirement is met.

The invention belongs to the technical field of hydraulic engineering, and provides a river section form measurement method and system, a storage medium and electronic equipment, and the method comprises the steps: collecting and processing data needed for measuring a river section form; extracting a waterline and a center line from data required for measuring the river section form; calculating a relative stability index of the section based on the center line and the waterline, and identifying a stable river reach in the river channel through the relative stability index of the section; dividing the stable river reach into a curved river reach and a straight river reach; giving elevation values to the waterline of the curved river reach and the waterline of the straight river reach by using data required for measuring the shape of the cross section of the river to obtain waterline elevation values; and measuring the river section form based on the waterline elevation value. According to the method, any section form of the river channel can be effectively constructed, the space-time limitation of measurement is broken, basic data support is provided for runoff monitoring, and an important basis is provided for large-scale flood process monitoring and water resource management decision.

The invention discloses a BIM-based municipal road construction method and system, and the method comprises the steps: collecting traffic flow data, accident information and weather conditions, and generating original traffic data and traffic state data; collecting construction data; cleaning and processing the collected original traffic data and traffic state data to obtain traffic data and traffic information characteristics; generating traffic flow prediction data and an initial model framework based on the traffic data and the traffic information features; generating a construction scheme and a stage schedule by using an optimization algorithm in combination with the predicted traffic flow data and construction data; and filling the construction scheme and the stage schedule into the initial model framework to generate an initial BIM model, and generating the BIM model according to the construction data through dynamic traffic simulation. Through collection, processing and analysis of comprehensive traffic data and construction data, a construction scheme is optimized, and dynamic traffic simulation is carried out, so that the construction efficiency is remarkably improved, traffic congestion is reduced, and the construction safety is improved.

The invention discloses a remote sensing image semantic segmentation method, system and device and a medium, and the method comprises the following steps: obtaining remote sensing building data, and inputting the data into a pre-trained semantic segmentation network, so as to achieve the precise segmentation of a building in a remote sensing image. The semantic segmentation network includes an encoder module and a decoder module for adaptive context selection based on structure priori guidance. In the training stage, a special remote sensing building data set is utilized to train the network so as to optimize the segmentation performance of the network. According to the method, by introducing structure prior information and an adaptive context selection mechanism, the accuracy and efficiency of building segmentation in the remote sensing image are effectively improved, and the problem that remote sensing buildings are difficult to distinguish when pixel visual evidences are weak or the remote sensing buildings belong to small space structure objects is solved.

The invention belongs to the field of geological engineering construction, discloses an automatic analysis method and system for tunnel advanced geological forecast by an elastic wave method, and solves the problems of few training samples, poor universality of intelligent model engineering and low automation level in the research of applying artificial intelligence to tunnel advanced geological forecast analysis in the prior art. The method comprises the following steps: identifying an elastic wave method parameter image to obtain elastic wave method parameter data, and establishing an elastic wave method parameter database; a mapping relation of elastic wave method key geophysical prospecting parameters-geological indexes-geological quality is established by combining a rock mass mechanics theory, a geological disaster formation mechanism and the like so as to establish a classifier classification principle; and finally, adopting a machine learning method to construct a classifier model according to a classifier classification principle, and obtaining training and testing samples based on an elastic wave method parameter database to train and verify the model. By utilizing the model, real-time whole-process automatic analysis can be realized, so that the analysis accuracy and efficiency are improved.

The invention discloses a man-machine cooperation data set construction and anomaly detection method fusing a multi-modal large model, and relates to the technical field of man-machine cooperation, and the method comprises the steps: controlling a virtual digital human and a virtual mechanical arm to carry out virtual man-machine cooperation in a virtual man-machine cooperation scene based on a man-machine motion label, in the process of virtual man-machine cooperation, human body collision parts, multi-angle man-machine scene images and joint posture data are obtained, timestamp alignment is further carried out, a multi-modal data set is formed, the multi-modal data set is converted into a vision-language instruction data set through a multi-modal large model, and the vision-language instruction data set is used as a virtual man-machine cooperation model. And utilizing the vision-language instruction data set to carry out fine tuning on the multi-modal large model, and utilizing the multi-modal large model after fine tuning to realize man-machine cooperation anomaly detection in the virtual man-machine cooperation scene. According to the method, a high-quality multi-modal data set can be efficiently constructed, fine tuning training can be carried out on a multi-modal large model, and man-machine cooperation anomaly detection in a virtual man-machine cooperation scene is realized.

The embodiment of the invention provides a function test method and device for a random access memory and a storage medium, and belongs to the technical field of memories. The method comprises the following steps: configuring a test function instruction, an input parameter item and an output verification item corresponding to the test function instruction, and a parameter combination mode corresponding to the input parameter item in a preset test view; determining a plurality of target input data of the test function instruction according to the input parameter item and the parameter combination mode; calling a test template of the test function instruction, and generating a plurality of test cases according to the test template and the plurality of target input data; generating a verification script according to the output verification item; issuing a test instruction to a target random access memory according to the test case; and querying a test result from the target random access memory according to the verification script and outputting the test result. The embodiment of the invention can improve the test efficiency.

The invention provides a method and a system for constructing and optimizing an environment map based on an ultra wide band (UWB). The method and the system are suitable for an extreme environment. The method comprises the following steps: firstly, initializing a two-dimensional grid map by a system, and collecting signal data through UWB equipment; when the LOS path is determined, the corresponding grid is defined to be in a free state, and otherwise, the corresponding grid is marked to be in an occupied state. For NLOS features, obstacle locations are mapped onto a map. Then, the map is refined through a mean filter, a morphological filter and a region growing algorithm, and the accuracy of obstacle representation is improved; and finally, the optimized map information is utilized, and the weight of a positioning algorithm is adjusted through a weighted least square (WLS) method, so that the positioning precision is improved. The method has the advantages that environment obstacle information can be effectively constructed, the environment obstacle information is suitable for navigation after being refined, and a map can be normally constructed in dark light and smog environments. The system only depends on a UWB sensor, and accurate positioning is achieved in an obstacle environment.

The present invention discloses an intelligent construction method, system and complete set of intelligent construction equipment based on BIM model, the method includes constructing a tunnel BIM information model based on a preset construction plan; automatically issuing construction tasks to intelligent construction units based on the tunnel BIM information model, and the intelligent construction units automatically or guide to complete the construction tasks; automatically monitoring the construction quality data and construction process data of the intelligent construction units, and feeding back to the tunnel BIM information model, optimizing the tunnel BIM information model, and forming a PDCA closed loop. The present invention establishes a tunnel BIM information model, carrying construction geological information, design scheme, construction scheme, construction plan and construction process data, etc., drives the intelligent construction of the tunnel based on the BIM information model, realizes the closed-loop management of planning, issuing, executing and monitoring of construction tasks, and uses advanced geological forecasts and real-time feedback construction reports to timely revise the construction plan.

The invention provides a preparation method and application of a novel cross-linked polyarylpyridine anion exchange membrane, and the preparation method comprises the following steps: using one or more aromatic compounds as a polymer monomer main chain, and condensing with 4-acetylpyridine under the catalytic action of superacid to obtain a polymer intermediate; a quaternary ammonium salt alkenyl compound is introduced as a crosslinking agent, and crosslinking is completed by heating in the film forming process. The introduction of the novel cross-linking agent is beneficial to the construction of a two-dimensional membrane structure and can improve the mechanical properties of the anion exchange membrane, the heating cross-linking condition is beneficial to the rapid adjustment of the cross-linking degree of the ion exchange membrane and the reduction of the swelling coefficient of the ion exchange membrane during use, and the quaternary ammonium salt alkenyl compound is beneficial to the construction of an ion exchange channel and the reduction of the membrane resistance. The ion flux is improved; the anion exchange membrane has excellent spatial size stability and membrane framework stability, strong oxidation reduction resistance, strong flexibility, long service life and the like, and can be applied to the fields of flow batteries and the like. # imgabs0 #

The invention relates to the field of aluminum alloy door and window enterprises, and discloses an electrostatic powder spraying process and device for aluminum alloy machining, and the electrostatic powder spraying process comprises the following steps: pretreatment: pretreating an aluminum alloy base material, the pretreatment comprises polishing, cleaning and preheating treatment; powder treatment is conducted, specifically, a treatment agent accounting for 5%-10% of the mass of the powder base material is added into the powder base material, high-speed stirring is conducted, spraying powder is obtained, and the treatment agent is composed of a low-Tg polyester resin modifier and nano titanium dioxide; and electrostatic spraying is conducted, specifically, powder spraying is conducted on the surface of the pretreated aluminum alloy base material through electrostatic powder spraying equipment through spraying powder. Powder added with a treating agent is sprayed to an aluminum alloy base material, low-temperature rapid curing is conducted, the curing process of the coating is rapidly completed at the relatively low temperature through stage gradient temperature curing and auxiliary curing, and the curing efficiency and quality are further improved through ultraviolet light and microwave auxiliary curing.

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 invention relates to the field of organic chemical synthesis, in particular to a preparation method of chiral 6-methyl nicotine. The invention provides a synthesis method of single chiral 6-methyl nicotine, which comprises the following steps: taking methyl 6-methyl nicotinate (compound I) and N-vinyl pyrrolidone (compound II) as initial raw materials, and sequentially carrying out condensation reaction, hydrolysis reaction, cyclization reaction, chiral reduction reaction and aminomethylation reaction to finally obtain the target product chiral 6-methyl nicotine (R or S compound VI). According to the synthetic route, the 6-methyl nicotine with two configurations of R and S can be prepared respectively, and the purity of the product can reach 99.5% or above. The synthesis method is simple in process, high in yield and suitable for industrial large-scale production.

The invention relates to a power enterprise data full-link fault positioning method based on data consanguinity. The method comprises the following steps: step 1, constructing a data consanguinity map; 2, based on the data consanguinity map constructed in the step 1, metadata consanguinity full links are collected and monitored in real time; 3, based on the data blood relationship map constructed in the step 1 and the real-time monitoring data collected in the step 2, a state transition matrix is constructed by analyzing state change information, and a Markov chain model is defined; by using the Markov chain model, the system can identify potential fault points and carry out accurate positioning. According to the invention, the problems of high data link complexity, difficulty in fault positioning, low troubleshooting efficiency and the like in the prior art can be solved.

The invention discloses a carbon emission prediction and novel power system planning method and system in the urban power field. The method comprises the following steps: calculating the energy demand quantity of each department according to the urban total production value GDP, population, industrial structure and energy consumption characteristic data; calculating the total carbon emission amount of the electric power department based on the energy demand in combination with the carbon emission factor; on the basis of the total carbon emission amount of an electric power department, urban energy endowment, emission reduction tasks, emission reduction policies and power generation technology improvement are considered, and on the basis of economy, population and electricity consumption parameters of an electric power demand end, various development situations of low carbon, zero carbon and negative carbon of an electric power system are designed; predicting carbon emission and carbon emission reduction corresponding to the demand end in each scene, and obtaining an emission reduction path from the demand end; and establishing a power system multi-scene optimization planning model by taking the lowest net present value of the total cost of the system as an objective function and taking urban power related constraints as constraint conditions, and calculating a power generation installed capacity development path meeting the system cost and the related constraints.

The invention provides an intelligent feeder terminal fault on-line discrimination method, which comprises the following steps: firstly, collecting electric power parameters, switch states and environment data of each feeder terminal, converting the data into feature vectors through a feature extraction algorithm, and then utilizing a pre-trained abnormal probability identification model to identify the abnormal probability of each feeder terminal. Generating an abnormal probability value and calculating a confidence interval of the abnormal probability value, if the lower limit of the confidence interval exceeds a preset threshold value, judging that the terminal is abnormal, for the abnormal terminal, determining an adjacent terminal of the abnormal terminal according to a topological structure of a power grid, and then classifying feature vectors of the abnormal terminal and the adjacent terminal by using a pre-trained fault classification model; and finally, the method comprehensively considers the fault classification data of the abnormal terminal and the fault classification data of the adjacent terminal, and generates a fault comprehensive classification result of the abnormal terminal, so that intelligent online discrimination of the feeder terminal fault is realized, and improvement of the accuracy and efficiency of power grid fault diagnosis is facilitated.

According to the swimming pool map boundary construction method and device, the swimming pool cleaning method and device and the electronic equipment, the swimming pool cleaning robot is controlled to advance and retreat relative to each preset path in the swimming pool map completely covering the swimming pool in the working area defined by the swimming pool, so that the two path end points of each preset path are determined; therefore, the map boundary of the swimming pool map is constructed according to the two path end points of each preset path determined in the swimming pool map, so that the construction of the boundary of the swimming pool map is more efficient, reasonable and accurate. Moreover, according to the swimming pool cleaning task executed based on the swimming pool map constructed by the method, comprehensive cleaning of the swimming pool can be achieved, and omission is avoided.

The invention discloses an infrared small target detection model construction method and an infrared small target detection method, belongs to the technical field of computer vision, and particularly relates to infrared image small target detection. The problems that in an existing infrared image small target detection technology, detection is difficult, light weight is not enough, and real-time performance is insufficient are solved. The method comprises the following steps: the trained infrared small target detection model is used for obtaining a finally detected small target according to an input original infrared image. The construction method of the infrared small target detection model and the infrared small target detection method are used for detecting an infrared image small target.

The invention discloses a photoetching simulation model construction method, device and equipment, a medium and a program product, and relates to the technical field of semiconductors. The method comprises the steps that multiple photoetching simulation parameters are obtained, the multiple photoetching simulation parameters at least comprise the key size between a first test pattern and a second test pattern in a photoetching simulation mask, and the second test pattern is an adjacent pattern of the first test pattern; determining a target diffusion coefficient of a target photochemical reaction substance in the exposed photoresist based on the plurality of photoetching simulation parameters; based on the target diffusion coefficient, a target reaction diffusion model of the target photochemical reaction substance in the post-baking process of photoetching simulation is constructed, and the target reaction diffusion model is used for simulating the reaction diffusion process of the target photochemical reaction substance in the post-baking process. According to the embodiment of the invention, the photoetching simulation model in the photoetching simulation post-baking process can be accurately constructed, so that the simulation accuracy of a strict photoetching simulation system in the post-baking process can be effectively improved.