126 results about "Experimental methods" patented technology

The invention discloses a method for preparing a single-layer tungsten diselenide nanoband based on a space confinement strategy. By changing the flow and the growth time of hydrogen, effective control on the width and the thickness of a nanoband can be realized. The method comprises the following steps: uniformly spraying tungsten trioxide powder to one substrate, then covering the substrate by the other substrate, and forming micro reaction space which is of a 'sandwich'-like structure. Growth of a tungsten diselenide nanoband is carried out by utilizing a constant-pressure chemical vapor deposition method; physicochemical characteristics of a one-dimensional transition metal chalcogenide strongly depend on suspension key types on the edge of the one-dimensional transition metal chalcogenide, metallic properties are displayed by an ultranarrow band, and conversion from the metallic properties to semiconductor properties can be displayed from the edge to the center of a wider band; the tungsten diselenide nanoband is widely applied to micro-nano photoelectric devices due to the special property; industrial production of the tungsten diselenide nanoband can be realized through an experimental method of the invention.

The invention belongs to the technical field of direct shear-seepage tests of rock joints, and discloses a numerical test method for direct shear-seepage of rock joints under different boundary conditions, which comprises the following steps of: establishing a joint surface numerical model by using finite element software, and performing tests for simulating joint shear mechanical behaviors by applying different boundary conditions. And the contact state and the opening distribution of the joint surface under different shear displacements are obtained, so that the shear stress evolution mechanism of the joint surface is better revealed, and the mechanical behavior of the rough joint surface in the shear process is accurately expressed. According to the method, the evolution law of mechanical properties in the joint shearing process can be reflected, the influence of shearing deformation on the joint seepage characteristics can be reflected, joint opening data distribution is imported into programming software to be processed, a joint seepage numerical model is constructed, then multi-physics field simulation analysis software is imported, and the joint seepage performance is improved. The flow velocity, the osmotic pressure and the streamline distribution characteristics in the flowing process are calculated, so that the joint permeability characteristics are analyzed.

The invention belongs to the technical field of biological information, and relates to an acetylcholin esterase inhibitor prediction method based on Stacking ensemble learning and molecular feature fusion, which comprises the steps of data collection and preparation, data annotation and optimization, feature extraction and analysis, construction of a Stacking model, result verification and feedback and construction of a prediction platform. The molecular fingerprints and the property descriptors are used as features, and an acetylcholin esterase inhibitor classifier is successfully constructed by adopting a Stacking algorithm. According to the method, the problems that the efficiency of finding the acetylcholin esterase inhibitor by a traditional experimental method is low, and a common quantitative structure-function relationship method is high in complexity and poor in generalization ability can be solved, the new drug finding speed is increased, experimental candidates are accurately positioned, and resource waste is reduced.

The invention belongs to the technical field of ferrous metallurgy, and particularly relates to a method for determining dissolution kinetics of solute in metallurgical slag based on molecular dynamics simulation, compared with a traditional experimental method, molecular dynamics simulation does not need a large number of thermal state experiments and complex detection modes, and large-scale simulation calculation can be rapidly completed on a computer. And meanwhile, various different conditions can be simulated in a short time, and superior processes and slag systems can be quickly screened out. According to the method, the reaction which is difficult to observe clearly can be visualized, the atomic trajectory behavior of the dissolution behavior, the dynamic change, the dispersion process of the solute and the like are provided, rich and accurate information is provided for research on dissolution kinetics, and the dissolution rule and the structure evolution mechanism of the solute in the high-temperature melt can be revealed. In addition, the method is high in safety, and danger possibly brought by a high-temperature experiment is avoided.

The invention discloses a material design method, device and equipment based on positive and negative interaction and a medium, and the method comprises the steps: collecting and sorting the formula process, structural characteristics, property indexes, performance expressions and other data of a material, training a positive prediction model through the data, and enabling the data to predict the property of the material according to the formula process parameters; a reverse optimization algorithm is introduced, possible formula process combinations are reversely deduced or generated according to target properties, the performance of the combinations is evaluated through a forward prediction model, and iterative optimization is performed until the target properties are achieved or a preset threshold value is met, so that the problem that a traditional experimental method needs to be subjected to multi-batch design, test inspection and repeated adjustment is solved; the technical problems of time and labor consumption, low efficiency, difficulty in quickly responding to market and application requirements, extremely high calculation cost for multi-factor strong correlation analysis, and difficulty in realizing quantitative, precise and high-efficiency optimization design in the prior art are solved.

A Hypothesis Generation and Testing System (HGTS) includes a framework for enabling artificial intelligence (AI) systems to autonomously formulate, test, refine, and store hypotheses using structured experimental workflows. HGTS may integrate with, but operates independently from, traditional databases, model repositories, context-aware AI databases and the like to provide a persistent, traceable, and interpretable record of hypothesis lifecycles. The system incorporates a probationary hypothesis database for unverified ideas, a validation engine for controlled experimentation, a confidence scoring and lifecycle management agentic subsystem for hypothesis evaluation, and recursive learning agents that iteratively refine models and experimental methods. Modular agents autonomously propose, test, and document hypotheses using statistical, symbolic, and deep learning techniques. The system ranks outcomes and retains full contextual metadata, enabling reproducible discovery. HGTS thereby provides a foundational mechanism for reproducible, interpretable, and self-directed intelligence, forming a cornerstone technology for artificial general intelligence (AGI).

The invention provides a quantitative water-rock reaction experimental device and experimental method. By adopting the quantitative water-rock reaction experimental device provided by the invention and implementing the quantitative water-rock reaction experimental method provided by the invention, quantitative and qualitative simulation and real-time online monitoring, recording and storage can be carried out on the interreaction process from a deep stratum to surface stratum fluid and surrounding rock; effective means and methods are provided for exploring the deep carbonate reservoir formation mechanism and predicting the deep carbonate reservoir formation mechanism, and the method is suitable for application and popularization.

The invention provides a sleep disorder animal model device and an experiment method, the sleep disorder animal model device comprises an experiment box, the experiment box is internally provided with grid division boxes in grid distribution, and the sleep disorder animal model device integrates a liftable auxiliary box body, a cover plate mechanism capable of amplitude modulation and jittering and a sound, light, vibration and tactile stimulation module; complex stimulation close to insomnia inducements of real human beings can be applied in a staged and combined mode, the problem of strong stress caused by a traditional single stimulation model is effectively solved, and the clinical goodness of fit of an animal model is remarkably improved. Meanwhile, based on intelligent management of a central control system, real-time non-invasive monitoring of animal behaviors and sleep states is achieved by fusing camera visual analysis, pressure sensing and wireless physiological telemetry technologies, execution units are automatically and accurately regulated according to the real-time non-invasive monitoring, standardization and repeatability of the experimental process are ensured, and the experimental efficiency is improved. And the construction efficiency and the evaluation reliability of the sleep disorder animal model are improved.

The invention relates to the technical field of software testing, and discloses an AB experiment method, device, system and equipment, a storage medium and a product. According to the scheme, the AB experiment rule can be obtained based on the current call application program, the AB experiment rule comprises the shunting rule and the experiment configuration, the communication connection with the interaction object is established, shunting is carried out based on the shunting rule, the shunting result is obtained, and the experiment data is reported according to the experiment configuration and the shunting result after the communication is finished, so that the AB experiment is completed. According to the scheme provided by the embodiment of the invention, the AB experiment rule can be issued to the client in advance, the AB experiment rule is executed on site when the service meets the condition, the shunting result is quickly obtained, the AB experiment shunting efficiency and the subsequent experiment accuracy are remarkably improved, in addition, the shunting rule needing to be used does not need to be supported by an experiment platform and only needs to be supported by the client, and the workload of the client is reduced. And the method also has better expansibility.

The invention provides a method for predicting formation of a high-entropy alloy phase structure by adopting a machine learning method, which comprises the following steps of: S1, screening data from a plurality of papers subjected to peer review, and constructing a database with a powerful data set; s2, for the alloy in the database, calculating characteristic parameters by adopting a specific calculation formula; s3, screening out a feature set with the best performance by adopting feature screening; and S4, selecting different machine learning classification models for training. Compared with a traditional experimental method and molecular dynamics simulation, the method for predicting the formation of the high-entropy alloy phase structure by adopting the machine learning method provided by the invention has the advantages that the machine learning technology is more efficient and accurate in predicting the performance of the high-entropy alloy, so that a large amount of experimental time and cost can be saved; and the performance data of the alloy can be more accurately obtained, so that the research and development progress of the material is accelerated.

The invention provides an online model updating hybrid test method based on a dual adaptive UKF algorithm, and the method comprises the steps: carrying out the initialization of a to-be-recognized constitutive model parameter, determining a parameter initial value seismic oscillation according to a genetic algorithm, inputting the seismic oscillation into a step-by-step integration algorithm, and obtaining the displacement response dk of an overall structure; obtaining the boundary displacement of the test substructure based on the displacement response dk and the constitutive model parameter estimation value of the previous step, carrying out real loading according to the boundary displacement, obtaining the real counterforce and real displacement of the test substructure, and carrying out parameter estimation based on a dual adaptive UKF algorithm; and obtaining a new constitutive model parameter value according to the new constitutive model parameter value and the displacement response dk of the overall structure, obtaining the counter-force Rk of the overall structure on each dynamic degree of freedom, realizing online identification and model updating of the constitutive model parameter, and performing loop iteration to the process of ending the test, thereby improving the precision and stability of parameter identification, and improving the test efficiency. The problem that the loading boundary of the test substructure is inaccurate is effectively solved.

This invention belongs to the field of reactor structural mechanics technology, specifically relating to a method for analyzing and evaluating high-temperature bolted connection sealing structures. The invention includes the following steps: selecting the location of the reactor pressure vessel flange and main bolt connection as the object of sealing structure analysis; analyzing and summarizing the influence of gasket data on the deformation and contact surface pressure of various components of the flange bolted connection structure; researching current standards and analyzing their limitations; using the finite element software ANSYS to perform finite element modeling of the reactor pressure vessel flange and main bolt structure; applying loads and constraints to the finite element model of the reactor pressure vessel flange and main bolt structure; calculating the deformation and stress of the structure using different creep and relaxation models; analyzing the relaxation behavior of the high-temperature flange bolted connection structure using experimental methods; and comparing and analyzing the results of the finite element method, the standard method, and the experimental method. This invention enables the analysis and evaluation of the sealing performance of flange bolted connection structures under high-temperature environments.

The invention relates to the technical field of nonmetal pipeline performance detection, in particular to a multifunctional experimental device and method for nonmetal pipeline detection, and the method comprises the steps that a tensile stress test platform heats an experimental environment temperature to a set temperature, and a first to-be-detected nonmetal pipe section is stretched to be fractured; the composite test end obtains a tensile property curve of the nonmetal pipeline according to the real-time traction force value returned by the tensile stress test platform; the internal pressure test platform heats the experimental environment temperature to a set temperature, and inflates the second to-be-tested non-metal pipe section until bursting; and the composite test control end obtains an internal pressure resistance curve of the non-metal pipeline according to the real-time internal pressure value returned by the internal pressure test platform. According to the device and the method, a traction performance test and an internal pressure performance test can be simultaneously performed on the non-metal pipeline at different experimental temperatures, so that a tensile resistance performance curve and an internal pressure resistance performance curve of the non-metal pipeline are obtained, and the comprehensive performance detection efficiency of the non-metal pipeline is improved.

The invention relates to a transcranial cell stimulation experiment model, which is characterized in that a support structure is used for supporting a skull model, the upper end of the support structure enters the skull model, a placement platform fixed on the support structure is arranged in the skull model, a cell culture dish is placed on the placement platform, two sides of the skull model are respectively provided with a stimulation coil which is obliquely distributed, and the stimulation coils are arranged on the skull model. The power supply unit is used for rapidly discharging to the two stimulation coils so as to induce generation of transient strong pulse current in the stimulation coils, and a 1T-4T strong magnetic field is formed around the stimulation coils. A transcranial cell stimulation experiment method comprises the following steps: firstly, pretreating SH-SY5Y cells, and then putting the pretreated SH-SY5Y cells into a cell culture dish; specific current waveforms are transmitted to the two stimulation coils, and the SH-SY5Y cells are stimulated through a generated electromagnetic field. The method has the beneficial effects that experimental simulation and experimental verification are realized, the understanding of a non-invasive brain stimulation technology is enriched, and a new scientific basis is provided for the treatment of related neurological and mental diseases.

The application belongs to the technical field of toxicity test, and discloses a high-repetitive and high-precision exposure and poisoning animal experiment system and method. The exposure and poisoning animal experiment system comprises an animal exposure and poisoning experiment unit. The aerosol gas inlet sleeve, the poisoning exposure cabin, the isolation mouse cage, the horn-shaped upper guide cylinder and the cylindrical lower guide cylinder jointly form two mutually isolated poisoning exposure channels. Each channel independently inputs poisoning exposure mixed gas into a poisoning exposure chamber. The animal poisoning exposure experiment in the oral-nasal exposure mode or the whole-body exposure mode can be completed by using one set of experiment system. Through the synchronous improvement of the experiment system structure and the experiment method, the oral-nasal or whole-body exposure mode can be flexibly switched, and the micro-sample high-concentration exposure experiment of multiple poisoning exposure chambers can be simultaneously performed. The accuracy and repeatability of the animal poisoning exposure experiment are significantly improved. The application breaks through the limitations of the existing experiment system and method, and has a wide application prospect.

The application provides a microfluidic experiment method and system for the influence of pore structure on shale oil imbibition, comprising the following steps: a. constructing different types of pore structure micro-nano chip models according to scanning electron microscope pictures; b. establishing a microfluidic visual experiment process to simulate fracturing and elastic development pressure-surge-production processes; c. calculating different pore imbibition efficiencies according to the change of oil saturation in the surge well stage; d. calculating different pore fracturing fluid flowback rates according to the change of water saturation in the elastic development stage; and e. analyzing the influence of pore structure on imbibition and shale oil production performance through the overall recovery degree and flowback rate. The microfluidic experiment method realizes the influence of different pore structures on the imbibition of shale oil pressure-surge-production processes, reveals the flow rules of shale oil and fracturing fluid in different lithofacies, and determines the fracturing fluid flowback rules and imbibition oil production contribution rate.

The application discloses an aviation equipment PHM virtual-real integration experiment platform and an experiment method, and belongs to the technical field of aircrafts. The platform comprises a component-level PHM physical experiment module configured to realize PHM physical experiments of important components of an airplane and collect test data, and a whole-machine-level PHM virtual simulation experiment module configured to acquire the test data of the component-level PHM physical experiment module and perform digital simulation on the whole airplane and a scene; corresponding PHM faults can be injected in the simulation process. The method comprises a physical platform experiment process, a digital simulation experiment process and a virtual-real integration experiment process. The application can solve the technical problems of single PHM research level, insufficient virtual-real combination capability and limited verification conditions in the prior art, and realizes multi-level PHM research and verification from the component level to the whole-machine level.

The application discloses a drainage pipe network hydraulics experimental method and system based on double-branch dynamic coupling, belongs to the technical field of water conservancy projects, and comprises the following steps: a double-branch double-gradient dynamic coupling simulation device is built, four types of visual simulation experiments such as pipe network intersection flow state analysis are carried out, and data are collected; after the data are preprocessed, a critical blockage flow prediction model is established, a four-dimensional model is constructed in combination with historical data of a city drainage pipe network to train and iterate the four-dimensional model; field data are collected in real time to input the model for prediction, and the pipe network is controlled in real time according to the results and the model is continuously updated. The system comprises experimental simulation, model establishment, model training and comprehensive control modules. The application realizes multi-parameter dynamic collaborative control, constructs a multi-dimensional accurate measurement system, has the advantages of modularity and water cycle, realizes prediction control integration, provides an active prevention and control means for safe operation of the drainage pipe network, and is suitable for visual research on the hydraulic characteristics of the pipe network.

The invention discloses a modularized middle school physical mechanics experiment measurement and control system and a centripetal force experiment method, and belongs to the technical field of middle school physical experiment teaching equipment. The measurement and control system comprises a rotation and speed measurement module and a tension measurement module which can work independently and can also be combined flexibly, the rotation and speed measurement module takes an STM32 single-chip microcomputer as a core, and accurate measurement and control of the rotation speed are realized through Hall encoder orthogonal pulse acquisition, quadruplicated frequency processing and M-method speed measurement; the tension measurement module realizes accurate acquisition of tension through a tension sensor and a 24-bit high-precision AD conversion chip. Modularization and modularization design is adopted in the core of the device, the two modules can independently adapt to various mechanical experiments and can also be integrated to build a centripetal force experiment platform, and verification of a centripetal force formula is completed through a matched experiment method. The problems that traditional experimental equipment is poor in universality and complex in operation are solved, the scheme is simplified and focused, and extremely high practicability and patent authorization are achieved.

The invention discloses a high slope support anti-seismic experiment device and method, and belongs to the field of high slope support anti-seismic experiments.The high slope support anti-seismic experiment device comprises an experiment groove with symmetrical openings formed in the front side and the rear side and an open top, and a simulation frame used for containing a high slope soil body model is arranged in the experiment groove; the simulation frame comprises two observation plates which are symmetrically arranged, low surfaces which are sequentially connected are arranged between the two observation plates, the low surfaces and the back slope surface are connected with the experiment groove through an inclination angle adjusting structure, and the bottom surface is connected with the experiment groove through a bottom inclination adjusting structure; the joint of the low surface and the bottom surface and the joint of the back slope surface and the bottom surface are respectively provided with a first sealing structure, and the joint of the low surface and the observation surface and the joint of the back slope surface and the observation surface are respectively provided with a second sealing structure. By arranging the bottom face, the low face and the back slope face with the inclination angle adjusting function, the high slope in the diversified gradient range is simulated, and the application range is wider.

The application provides a cold-bending glass performance verification experiment method and experiment tool, and aims to solve the technical problems of poor adaptability, great safety hazards, incomplete data collection and imperfect verification system in the existing cold-bending glass experiment. The experiment method comprises the following steps: selecting a test piece, a general step, fixing a detection unit frame corresponding to the glass test piece on the experiment tool, placing the glass test piece and setting rubber pads, adjusting the plane of the glass test piece to be horizontal by using a level, performing a first all-around three-dimensional scanning on the glass test piece and recording the data of the original state of the glass; measuring point arrangement, gradually pressurizing through an electric loading device and the experiment tool, correcting the finite element analysis result, and the experiment tool comprises two supporting cross beams and two supporting vertical beams, which can verify the stress state, deformation characteristics, long-term use performance and durability of the cold-bending glass, and provide a scientific basis for the design, production and on-site installation of the cold-bending glass curtain wall.

The invention relates to the technical field of teaching aids, and provides a triangle congruence condition demonstrator and an experiment method thereof. According to the demonstrator, a circular protractor is fused into equidistant concentric circle spray painting, and is fixed on a substrate together with a nail plate and a graduated scale to be matched with rubber ribs with different colors for use. The experimental method comprises the following steps: firstly grouping and distributing instruments, demonstrating triangles meeting specific congruent conditions (such as SAS) by teachers, autonomously operating and exploring by students, changing conditions (such as ASA, AAS and SSS) by the teachers to enable the students to continue to operate, and then displaying and summarizing by groups. According to the demonstrator, the uniqueness of congruent triangles is utilized, when congruent triangles cannot be judged, different triangles sleeved by different students are different, and when the congruent triangles can be judged, the triangles completely coincide, and conditions are Compared with a traditional drawing method, the demonstrator and the method are more efficient and interesting, can improve the interest of students, enhance the teaching effect, cultivate the abilities of the students, such as practice and logical thinking, can be expanded for exploring the parallel condition of two straight lines, and have higher practical value.

The application belongs to the technical field of toxicity test, and discloses a kind of on-site synchronous experimental device, experimental method and application of animal atmosphere exposure, the device includes modular design and detachable connection main portable box and exposure experimental unit, vice portable box and experimental support unit, can be flexibly carried to various environmental event sites, and at any time, quickly carry out animal exposure experiment;Multiple exposure cabins, multiple concentration exposure experimental design can carry out multiple concentration gradient experiments in the same time, and can complete toxicity evaluation experiment in a shorter time.The device and method provided by the application can use on-site atmosphere as exposure research object at any time, carry out toxicity evaluation experiment of multiple concentration conditions environmental air in the same time, obtain more real and effective experimental data under real experimental conditions, to solve the problem of rapid health risk assessment of on-site pollution environment event and improve the accuracy of evaluation results.

The application provides a kind of pipe bundle convection heat transfer characteristic test experimental system and experimental method based on digital twinborn technology, belongs to pipe bundle convection heat transfer characteristic test field.For solving the problem that students are difficult to intuitively analyze the movement of fluid and heat transfer process in the existing heat transfer experiment teaching, it is difficult to deeply understand the complex relationship between heat transfer and fluid mechanics, and the experimental operation and data acquisition function are not intelligent and efficient enough.A virtual and real digital twinborn experiment system is constructed, the virtual twinborn model is continuously optimized through real-time data interaction, the model accuracy and reliability are improved;Compared with the traditional virtual experiment system, the authenticity and reliability of the application are higher;Temperature, pressure field monitoring function can be realized in the area where sensors are difficult to arrange in the structure of pipe bundle heat exchanger, whether there is overtemperature and overpressure can be found in time;And to a certain extent, the temperature and pressure distribution of the system at future time is calculated, the advanced prediction and early warning function is realized to prevent equipment damage or cause safety accidents.

This invention relates to an experimental method for detecting the high-temperature plasticity of the edges and corners of microalloyed steel billets, belonging to the technical field of steel process performance testing. The technical solution includes: Experiment A: high-temperature melting test of the billet; Experiment B: high-temperature plasticity test of the billet; Experiment C: bending and straightening plasticity test of the billet; measuring the fracture diameter of the tensile fracture specimen and calculating the reduction of area; based on the experimental results of Experiments B and C at different temperatures, plotting a comparison diagram of the high-temperature plasticity of the billet edges and corners with the test temperature as the X-axis and the reduction of area as the Y-axis, thereby accurately determining whether there is a brittle temperature range in the billet and its edges and corners, and analyzing the high-temperature plasticity of the billet edges and corners based on the experimental results. The beneficial effects of this invention are: simulating the process of rapid cooling and latent heat reheating of the billet edges and corners during actual production, plotting the high-temperature plasticity diagram of the billet edges and corners, accurately detecting and analyzing the high-temperature plasticity of the billet edges and corners, and confirming whether the low-temperature zone of the billet and its edges and corners will cause abnormalities due to excessively low plasticity.

The application discloses a kind of experimental scheme design method and device of multi-target variable, the method includes: obtaining the multiple characteristic variables of constituting experimental scheme, utilize all characteristic variables to constitute original sample space;The value of each characteristic variable in the original sample space is pre-sampled, to obtain statistical quantity sampling result;Based on statistical quantity sampling result, each characteristic variable in the sample space after pre-processing is carried out cluster analysis, to obtain target sampling point, utilize all target sampling points to constitute the sample space after pre-processing;Using pre-stored sampling algorithm, the sample space after pre-processing is sampled, to obtain target sample space, the sample in the target sample space is used for experimental sample in experimental scheme design.The method and device provided by the application use the sample data set of reduced space to provide data support for experimental scheme design, so that the experimental method of bayesian optimization is applied to large sample space becomes possible.

The invention discloses an experiment table compiling system and method for a sanger sequencer, and the system comprises an experiment method: determining an experiment type, a dye set, a sequencing analysis model and experiment model information in an established experiment method, binding and summarizing the experiment model, the dye set and the sequencing analysis model, and forming an experiment method; sample file names and sample file storage position information are determined in the established sample files, and the sample file names and the sample file storage positions are bound and summarized to form one sample file; according to the kit, an analysis method is defined in the established kit, Panel and interior label information is analyzed, and the analysis method, the Panel and the interior label are bound and summarized to form the kit; and a runtime library: binding and summarizing the established experimental methods, sample files and kits to form the runtime library. According to the invention, the user only needs to select the runtime library for one time to complete the tabulation processing of the experiment, so that errors caused by selection are reduced.

The invention discloses an energetic material heat resistance evaluation method based on molecular dynamics simulation. The method comprises the following steps: (1) establishing a molecular dynamics model of an energetic material, simulating a thermal decomposition process of the energetic material through LAMMPS software, and obtaining data of changes of reactants, products and system potential energy along with time; (2) based on the obtained data, obtaining the initial decomposition time ti of the energetic material, and calculating to obtain the thermal decomposition induction time tPE and the cluster mass ratio Rc; and (3) comprehensively evaluating the heat resistance of the energetic material based on the three key parameters ti, tPE and Rc. According to the method, the problems of potential safety hazards and high cost existing in a traditional experiment mode are solved, and a new research idea is provided for quantitatively evaluating the heat resistance of the energetic material from the microscale.

The invention discloses an experimental method and system for verifying multi-scene validity of a large power language model. The method comprises the following steps: constructing a layered experiment model for simulating a full-link business process according to a power business scene requirement; performing a contrast test on the experimental group and at least one control group, collecting data, calculating experimental data to obtain multiple indexes, calculating subjective and objective weights based on expert experience and data volatility, and fusing the subjective and objective weights based on an AHP-entropy weight method to obtain a plurality of indexes; therefore, a dynamic evaluation mechanism adaptive to different power scene priority changes is realized. And iterating the model through a dynamic evaluation result so as to carry out term recognition error analysis and knowledge graph incremental training, thereby realizing data-model closed-loop optimization. According to the method, verification scientificity and conclusion credibility are remarkably improved, subjective experience of experts and objective volatility of data are effectively fused, the stiffness defect of traditional static indexes is overcome, and direct driving of evaluation results on model iteration is achieved.

The invention provides a pond microcosm method for evaluating pollutant influence. The method comprises the following steps: S1, constructing a pond microcosm system for dynamic analogue simulation; s2, putting the tested organism into the pond microcosm system, exposing the to-be-evaluated pollutants in the pond microcosm system, and after a period of time, analyzing to obtain the enrichment concentration of the to-be-evaluated pollutants in the water phase, the sediment and the tested organism; s3, analyzing and calculating the data to obtain the fugacity of the environmental phase and the fugacity capacity of the environmental phase; and S4, calculating a net change flux through a fugacity model, and evaluating the dynamic change of the pollutants in the pond microcosm system. According to the method, the experimental method is improved and the fugacity model is introduced, so that the defects of complexity, authenticity and analysis in the microcosm experiment in the prior art are effectively overcome, and a more perfect and accurate method is provided for deeply researching environmental behaviors of pollutants in a microcosm ecological system in a near-natural state.