71results about How to "Reduce research costs" patented technology

The invention relates to the technical field of chemical engineering and machine learning, and provides a method for predicting the solubility of carbon dioxide in a deep-eutectic solvent based on a machine learning model, and the method comprises the steps: collecting CO2 solubility data, carrying out the coding and feature descriptor conversion of a deep-eutectic solvent molecular structure through an open-source chemoinformatics software package RDKit, and constructing a data set. Four algorithms of XGBoost, random forest, a deep neural network and a convolutional neural network are adopted to construct a model, and hyper-parameters are optimized through grid search and k-fold cross validation. After the model is trained, the prediction performance is evaluated, and the optimal model is selected for CO2 solubility prediction. The method improves prediction efficiency and accuracy, has strong adaptability and generalization ability, and provides an effective tool for formula optimization of the eutectic solvent and improvement of CO2 capture efficiency.

The invention relates to the field of pipeline welding, in particular to a prediction model construction method, system and equipment of a heat affected zone and a prediction method. The method comprises the steps that phase change parameters of a metal microstructure phase change model are corrected based on a thermal simulation test; building a heat affected zone microstructure finite element prediction model according to the circumferential weld simulation calculation finite element model; and correction is carried out based on a heat affected zone hardness test and a small punch test correlation parameter correction method, and the heat affected zone strength prediction model is trained by using the expansion database to obtain the pipeline welding joint heat affected zone strength prediction model. Based on a material performance determination test, a finite element model construction method and a finite element model expansion database mode, the accuracy of the heat affected zone strength prediction model is greatly improved, the research cost is reduced, the prediction from a microstructure to macroscopic performance is realized, and the method is suitable for popularization and application. And the defect that the softening mechanism of the hot area material cannot be clarified by traditional macroscopic mechanical property test analysis is overcome.

The invention discloses a natural gas hydrogen-doped combustion optimization method and system for a gas turbine, and the method comprises the steps: obtaining combustion state parameters of a mixed fuel under different mixing proportions under an experimental condition, the combustion state parameters comprising combustion characteristic data and emission characteristic data; establishing a numerical calculation model for describing the combustion process and emission characteristics of the mixed fuel on the basis of combustion science and fluid mechanics, and performing numerical simulation on the mixed fuel in different mixing proportions by adopting the numerical calculation model to obtain combustion state parameters of the mixed fuel; comparing and analyzing the combustion state parameters obtained by the experiment and the combustion state parameters obtained by the numerical simulation, and optimizing the numerical calculation model according to the analysis result; expanding the mixing proportion of the mixed fuel, and performing numerical simulation on the expanded mixed fuel by adopting the optimized numerical calculation model to obtain combustion state parameters of the mixed fuel and construct a training data set; and adopting the training data set to train the machine learning model, and adopting the trained machine learning model to predict the mixing proportion of the mixed fuel. According to the method, by updating a numerical calculation model and a machine learning model, optimal prediction under different fuel and combustion conditions can be realized.

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 grouting curtain parameter design method for structure protection under the blasting vibration effect, and relates to the technical field of underground engineering and blasting engineering, and the grouting curtain parameter design method comprises the following steps: S1, determining main factors influencing the vibration velocity of a protection structure, and constructing a vibration velocity prediction model containing an undetermined coefficient by adopting a dimension analysis white golden-han theorem; s2, establishing a finite element blasting numerical model, and obtaining structural vibration velocity data under different parameter combinations; s3, fitting the structural vibration velocity data by using the vibration velocity prediction model, and determining an undetermined coefficient in the vibration velocity prediction model; and S4, a relational expression between the structural vibration velocity and stress is established, and grouting curtain design parameters meeting structural safety requirements are determined in combination with engineering conditions. By means of the method, the problem that the grouting curtain damping effect and grouting curtain parameters are difficult to determine in actual engineering is solved, the blasting vibration peak value of the protection structure under the blasting vibration effect is effectively reduced, and a guarantee is provided for underground and ground structure protection and blasting engineering safety construction.

The invention relates to the field of research, development and design of artificial intelligence materials, and provides a polyimide material glass transition temperature prediction method based on machine learning, and the method comprises the steps: collecting experimental data including the structure and glass transition temperature of a polyimide polymer; preprocessing the obtained data, and then dividing a training set and a test set based on the feature data and the label data; constructing a prediction model based on gradient lifting, and continuously adjusting parameters until optimal parameters are found; evaluating the training model by using evaluation parameters such as a decision coefficient and a mean square error, and finally confirming a prediction model; and inputting related parameters to the model based on the trained prediction model, and outputting the glass transition temperature of the corresponding polyimide. By adopting the gradient lifting model, the scientific research cost is reduced, the scientific research efficiency is improved, and a new path is opened up for the development of the high glass transition temperature polymer.

The invention discloses a shale TOC prediction method based on logging data feature derivation and machine learning, and relates to the technical field of shale TOC prediction, and the shale TOC prediction method based on logging data feature derivation and machine learning mainly comprises the steps: obtaining shale TOC data through a rock pyrolysis experiment; according to the shale TOC data, using a geological research tool to obtain original logging data and preprocessing the original logging data; and performing feature derivation on the preprocessed logging data to obtain a new data set, training a random forest machine learning model to obtain a shale TOC prediction model, and predicting shale data to be measured to obtain a shale TOC prediction result. By implementing the shale TOC prediction method based on logging data feature derivation and machine learning provided by the invention, the flexibility, applicability and accuracy of shale TOC prediction can be improved.

The invention discloses a test device for simulating migration and transformation of pollutants in underground water. The test device comprises a sand box, a water supply system and a drainage system, the sandbox is internally divided into a water inlet well, a water outlet well and a sand tank; the water inlet well adjusts water head height and is connected with the water supply system; the water supply system, the water inlet well and a passage therebetween are sealed; the sand tank simulates an aquifer soil body and is filled with a soil sample or quartz sand; the water outlet well is connected with a drainage system; the water inlet well and the water outlet well are separated from the sand tank through partition plates, a plurality of through holes are formed in the partition plates, and filter cloth is arranged on the surfaces of the partition plates facing the sand tank. A plurality of pore water sampling holes are formed in the front upper part of the sand tank; a plurality of underground water sampling holes are formed in the front lower part of the sand tank; a plurality of pressure measuring holes connected with a pressure measuring pipe or inserted into a soil moisture tensiometer are formed behind the sand tank; water of the water supply system enters the water inlet well and then permeates into the sand tank filler, water in the filler permeates into the water outlet well, and water of the water outlet well is discharged from the drainage system. Compared with a field test, the material and time cost is reduced.

The invention discloses a method for researching a Tarim red deer population spatial distribution pattern in the field of animal ecology. The method comprises the following steps: step 1, analyzing Tarim red deer wild population distribution characteristics; 2, analyzing forest environment characteristics of the Tarim red deer wild population habitat; 3, analyzing the spatial correlation between the Tarim red deer wild population distribution and the biological environment factors; step 4, tracking and analyzing the motion trail of the Tarim red deer; 5, analyzing the influence of habitat space distribution and abiotic factors on Tarim red deer wild population distribution; and step 6, evaluating habitat suitability of the Tarim red deer wild population. The method is reliable and accurate, and provides data support for construction of a Tarim red deer wild population protected area in the future by analyzing a Tarim red deer wild population space distribution pattern and habitat forest environment characteristics, using the unmanned aerial vehicle to track a motion trail of a red deer group, evaluating habitat suitability of a habitat and evaluating a potential suitable area of the habitat.

The LED plant illuminating lamp comprises a lampshade, a lifting plate, lamp beads and an optical filter, the lampshade is in a long-strip-shaped horn shape with a downward opening, the lifting plate is located in the lampshade, the lifting plate and the lampshade are connected in a lifting mode through bolts, the lamp beads are installed on the lower end face of the lifting plate, and the optical filter is located in the lampshade. Through installation grooves are formed in the two sides of the lampshade, the two sides of the light filter are inserted into the installation grooves, and the lamp bead is located above the light filter. According to the utility model, a full-spectrum LED lamp is replaced by switching of the optical filter, a specific radiation wave band required by plant growth is selected, and the position, the illumination range and the illumination effect of the lamp beads are adjusted through vertical movement of the lifting plate, so that not only is the research cost of student planting reduced, but also the plants obtain light waves of the specific wave band, and the growth rate of the plants is improved.

The invention discloses a molecular modification method and application of a supported metal catalyst. Comprising the following steps: contacting a supported metal catalyst with a gas molecule modifier; the gas molecule modifier is selected from at least one of CO, NO, NO2 and N2O; the supported metal catalyst comprises an active metal component and a carrier. According to the molecular modification method, in-situ regulation and control of the electron state of an active site is realized through adsorption of the molecular modifier on the active center of the supported metal catalyst, and the reaction activity and selectivity of the supported metal catalyst such as rhodium, palladium, ruthenium and platinum can be remarkably improved. The method is simple to operate and strong in universality, can effectively adjust the reaction activity of the catalyst, and has a very strong application prospect.

The application discloses a method for predicting the flow velocity along the course of a river with floating vegetation, and the river with floating vegetation is divided along the water flow direction of the river according to the flow regulation distance, and the water flow direction velocity prediction model of the river with floating vegetation is constructed to realize the prediction of the flow velocity along the course of the river, so as to provide a theoretical basis for further research on the water flow, sediment movement characteristics and riverbed evolution of the natural river and lake with floating vegetation.

The invention discloses a culture medium system for inducing airway stem cells to differentiate into airway epithelial cells based on ALI and application of the culture medium system. Belongs to the technical field of ALI culture. By means of the culture medium system, the airway stem cells can be efficiently and stably induced to be differentiated into multiple types of airway epithelial cells in the ALI culture process, and particularly, the generated cilia cells are close to the physiological state in vivo. Compared with an imported culture medium, the culture medium has the advantages of definite components, high batch stability, low cost and simple preparation method; the generated airway epithelial cells have a plurality of cell lineages, can well simulate airway epithelium, and show forms and functional characteristics similar to those of an in-vivo airway. According to the system, a respiratory tract epithelium-induced ALI culture system is remarkably improved, the research cost is reduced, a preferable scheme is provided for scholars engaged in studying physiological and pathological characteristics of respiratory tract epithelial cells based on ALI, and researchers are helped to establish a stable repeatable airway model.

The invention relates to a method for determining the content of phenylpropanoid and flavonoid components in folium artemisiae argyi, which is characterized in that folium artemisiae argyi is taken as a research object, isochlorogenic acid C is selected as an internal reference substance to determine the content of phenylpropanoid and flavonoid components in folium artemisiae argyi by a quantitative analysis of multi-components by single marker, and the method comprises the following steps: extracting folium artemisiae argyi by using an extraction solvent to prepare a test solution; dissolving the reference substance by using a dissolving reagent to prepare a reference substance mixed solution; respectively injecting the test solution and the reference substance mixed solution, and carrying out ultra-high performance liquid chromatography detection; isochlorogenic acid C is used as an internal reference substance, the content of the to-be-detected component in the folium artemisiae argyi is calculated according to a formula, and finally it is proved that the quantitative analysis of multi-components by single marker can be applied to synchronous quantitative determination of characteristic phenylpropanoid and flavonoid components of the folium artemisiae argyi. The established method is rapid, stable, stable in base line and high in specificity, more comprehensively reflects the quality condition of the folium artemisiae argyi medicinal material compared with a single determination index, is high in practicability, simple and convenient to operate and high in accuracy, and saves the detection cost.

The invention provides a red-blue confrontation-based large model agent autonomous iterative optimization method and system, and the method comprises the steps: building a customer agent as a blue party based on a large language model, obtaining user data from a plurality of channels, generating diversified customer portrait data, generating a dialogue test set containing diversified customer consultation test data, and carrying out the calculation of the dialogue test set. Taking the data as adversarial data for iterative optimization of the model; the method comprises the following steps: constructing a sales agent as a red party by using a preset first version prompt word, starting the red party and a blue party to carry out dialogue based on adversarial data, limiting a maximum dialogue round or taking a transaction conclusion as an exit condition, and carrying out quality inspection scoring and prompt word optimization direction prompting on the sales agent through a plurality of evaluation dimensions; inputting the first version cue word and the cue word optimization direction to a sales agent to obtain an optimized sales agent cue word; and repeating until the quality inspection score converges, and completing the iterative optimization process of the sales agent. According to the method, the sales conversion rate is remarkably improved, and the manual optimization cost is greatly reduced.

This utility model relates to the field of soil research technology and discloses an equidistant sampling device suitable for the study of soil pollutants in agricultural land. It includes a support plate with a scale fixedly connected to its top. Two I-shaped grooves are formed at the top of the support plate, and two I-shaped sliders are slidably connected to the inner walls of the two grooves. Two pedals are fixedly connected to the tops of the two sliders. The operator first determines the sampling interval according to the research requirements. Then, the operating parameters of the bidirectional motor, such as speed and direction of rotation, are set via the control panel. After starting the bidirectional motor, its output drives a bidirectional screw to rotate. Due to the bidirectional thread characteristic of the bidirectional screw, the two moving sleeves connected to the surface of the bidirectional screw will move in opposite directions at equidistant intervals along the screw. The operator can then observe the position of the pointer on the scale.

The present invention belongs to the technical field of determination of gaseous hydrocarbon hydrogen isotope composition in mineral inclusions, and specifically discloses a device and method for extracting gaseous hydrocarbon hydrogen isotope composition in mineral inclusions. The present invention adopts helium as the protective carrier gas of the online continuous flow system, and each helium uses a water trap filled with magnesium perchlorate to absorb and dry the trace water that may exist in the helium, so as to avoid the influence of the trace water in the carrier gas on the test results of the gaseous hydrocarbon hydrogen isotope composition. The present invention adopts an online continuous flow method to connect the mineral inclusion explosion device, methane oxidation, and product water collection device with a stable isotope mass spectrometer, so as to realize the online heating explosion of the mineral in the helium flow environment, the online oxidation of methane, the online collection of the oxidation product water, and the electric heating and release of water into the stable isotope mass spectrometer for testing. Compared with the traditional offline method, the sample amount is greatly reduced, thereby effectively reducing the workload of mineral processing and the scientific research cost, and improving the scientific research efficiency.

The present invention relates to the field of boilers, and discloses a test device for a pulverized coal boiler pulverizing system, comprising a coal mill forming a primary air circulation loop, an adjustable shrinkage structure, a dust collector, a fan with adjustable air volume and a heater, and also comprising a powder storage bin, a regulating valve group, a powder dropping valve, a primary wind speed measuring component, a temperature sensor and a pulverized coal quantity measuring component. The test device for a pulverized coal boiler pulverizing system of the present invention can simulate the operation of a pulverized coal boiler pulverizing system to monitor the primary wind speed during the operation of the pulverized coal boiler pulverizing system, and can study the pulverized coal concentration, pulverized coal fineness, the best measurement method of the primary wind speed and the influencing factors under the premise of eliminating external interference factors; at the same time, the test device for a pulverized coal boiler pulverizing system can also be used as a verification system for the primary wind measurement method; the test device for a pulverized coal boiler pulverizing system has the advantages of small footprint, low energy consumption, high similarity with the actual pulverized coal boiler pulverizing system, and reduced test and research costs.

The invention discloses a wood pyrolysis simulation method based on Fluent-UDF, and belongs to the technical field of energy utilization, and the method comprises the following steps: carrying out wood thermogravimetry, TG-DSC analysis, extraction of pyrolysis data characteristics, solving of a pyrolysis rate and a heat absorption and release calculation formula, and implantation in the Fluent-UDF to form a pyrolysis process reproduction code; the method comprises the following steps: performing Fluent simulation based on a wood pyrolysis environment, setting a wood area as a porous medium, loading a UDF code, and extracting wood thermogravimetric change simulation data after calculation; performing a wood pyrolysis experiment in the same environment to obtain wood thermogravimetric change data; wood thermogravimetric simulation and experimental data are compared, the wood pyrolysis simulation process is corrected, the wood pyrolysis simulation precision is improved, and therefore high-precision wood pyrolysis process simulation reproduction based on Fluent-UDF is achieved. According to the method, a reproduction method reference based on Fluent-UDF can be provided for wood pyrolysis simulation.

The invention belongs to the field of hydraulics and river dynamics, and discloses a sediment motion characteristic analysis method for a river channel with floating vegetation, which comprises the following steps of: firstly, determining near-bottom turbulent kinetic energy at different positions along a water flow direction; determining the Hiltz number of sediment particles at different positions along the water flow direction and the critical Hiltz number of sediment resuspension, then determining the deposition probability, and finally obtaining the on-way distribution of the sediment deposition amount. According to the method, the influence of the floating vegetation on the river flow turbulence characteristic and the sediment deposition is considered, the obtained along-way near-bottom turbulence energy and sediment deposition distribution of the river with the floating vegetation are closer to the real river condition, and the prediction precision is high.

The invention provides a quality detection method of bulbus fritillariae cirrhosae lung-heat-clearing syrup. According to the quality detection method, the contents of amygdalin, sipeimine, liquiritin and platycodin in the bulbus fritillariae cirrhosae lung-heat-clearing syrup are detected by adopting an HPLC-ELSD (High Performance Liquid Chromatography-Evaporative Light Scattering Detector) chromatography. According to the method disclosed by the invention, the contents of four components, namely amygdalin, sipeimine, liquiritin and platycodin D, in the bulbus fritillariae cirrhosae lung-heat-clearing syrup are determined by adopting an HPLC-ELSD method, so that the quality of the bulbus fritillariae cirrhosae lung-heat-clearing syrup can be relatively rapidly evaluated, and reference is expected to be provided for quality control of a preparation. According to the method, interference of strong ultraviolet absorption substances is effectively avoided, the research cost is reduced, the operation process is simplified, an economic and efficient analysis means is provided for determining the content of saponin compounds, and meanwhile, a reference is provided for formulating a quality control standard of the bulbus fritillariae cirrhosae lung-heat-clearing syrup.

The invention relates to the technical field of coal rock, in particular to a fluid action induced coal rock strain method based on dynamic ensemble simulation, which comprises the following steps: constructing a coal rock macromolecular model; determining the type of fluid to be researched; simulating the coal rock macromolecular models of different fluid types by utilizing a dynamic ensemble; and constructing a coal rock strain model induced by different fluid effects. The method solves the problems that existing molecular dynamics simulation lacks reasonable selection and application of a dynamics ensemble, and the strain condition of coal rock under the actual working condition is difficult to accurately simulate.

The present application relates to the technical field of artificial intelligence and black light experiment collaborative control, in particular to a black light experiment collaborative control system and method based on multi-agent collaborative decision. It includes multi-agent collaborative decision module, digital twin and protocol conversion module, black light experiment execution module, human-computer interaction quality control module and result analysis and skill sedimentation module. Through the cooperation of the five modules of multi-agent collaborative decision, digital twin and protocol conversion, multi-actuator arrangement, human-computer interaction quality control, result analysis and skill sedimentation, end-to-end full closed loop from natural language scientific research task input to 7*24 hours unattended experiment execution, full-dimensional data quality control to structured skill sedimentation reuse is realized. The pain points of high dependence on traditional scientific research manpower, poor experimental reproducibility and difficult knowledge inheritance are solved, and the scientific research efficiency and achievement quality are greatly improved.

The utility model belongs to the technical field of solenopsis invicta breeding, and discloses a simple solenopsis invicta breeding device which comprises a breeding box, the breeding box comprises a breeding box body and a top cover, the upper end of the breeding box body is open, a through hole is formed in one side wall of the breeding box body, and the top cover covers the opening; an artificial ant nest is fixed to the bottom of the inner side of the feeding box body, a plurality of ant nest openings are evenly formed in the side wall of the artificial ant nest, and the top of the artificial ant nest is open and provided with shading water-absorbing cloth in a laid mode. A plurality of illuminating lamps are fixedly mounted on the inner side wall of the feeding box body in the circumferential direction, and are connected with a power supply timer; a feeding pipe is detachably connected to the through hole of the feeding box body. The solenopsis invicta breeding device is simple in structure, and can provide a photoperiod condition and a dry and wet environment for solenopsis invicta in the incubator, so that the environmental condition suitable for survival of the solenopsis invicta is achieved, the authenticity and preciseness of the research process are improved, and the research result is more accurate.

The present invention relates to the technical field of unmanned aerial vehicles, and specifically to a method for testing and analyzing the landing performance of a fixed-wing amphibious unmanned aerial vehicle on the water, comprising: preparing a test platform and an unmanned aerial vehicle; conducting a water landing test of the unmanned aerial vehicle; conducting a finite element simulation analysis of the water landing test of the unmanned aerial vehicle; comparing and analyzing the "water pool water pressure-time" change curve obtained by the test and the "water pool water pressure-time" simulated change curve obtained by the finite element simulation; based on the matching test results and finite element simulation results, obtaining the variation law of the core parameters of the unmanned aerial vehicle and the variation law of the attitude image during landing. The present invention remotely controls the attitude of the fixed-wing amphibious unmanned aerial vehicle during water landing through a handle, and can observe the landing performance during planned and unplanned water landings, solving the disadvantage of no rolling attitude caused by the traditional horizontal throwing method; the present invention simulates the forced landing performance of amphibious aircraft on the water surface through the finite element method, which can reduce the test investment and reduce the research cost.

The polypeptide membrane anchoring high-throughput screening method for GPCR is that the C terminal of GPCR is connected with tetracycline-controlled transcriptional activator (tTA) through tobacco etch virus protease substrate sequence (TEV-Substrate). When GPCR is combined with the membrane anchoring polypeptide, the TEV protease cuts the substrate to release tTA, activates the expression of luciferase reporter gene (Luc), and the cell expressing luciferase can detect the production amount of oxidized luciferin by using an enzyme label instrument, so that the accurate screening of the targeted polypeptide compound is realized. The screening method provided by the application can quickly screen the polypeptide combined with GPCR, is not limited to the screening of only a certain signal path in the traditional GPCR function detection, and can realize the high-throughput screening of the polypeptide and GPCR target by combining the luciferase reporter gene.

The invention belongs to the technical field of structural design of test devices, and discloses a servo mechanism combined vibration device which comprises a support I, a support II, a support III, a supporting frame, a reinforcing column, a reinforcing plate, a supporting cylinder, a base I, a base II and the like. The reinforcing column is connected with a support I and a support II, and independent transmission mechanisms can be installed on the support I and the support II. The support II and the support III are connected through a reinforcing plate, and a control assembly can be installed on the reinforcing plate. A supporting frame is installed between the support II and the support III, and the transmission mechanism and the control assembly can be integrated together through the supporting frame, a reinforcing column and a reinforcing plate and can also be installed separately and independently. The supporting cylinders at the two ends of the tool are used for meeting different clamp connector requirements. The split-type servo mechanism can be integrated into a cabin section by simulating a projectile body structure form, so that the disassembly and assembly frequency in the production circulation process is reduced.

The invention provides a closely linked SSR marker and application thereof in barley helminthosporium leaf spot resistant QTL positioning, and relates to the technical field of molecular marker assisted breeding. The two QTL sites closely linked with the helminthosporium leaf spot resistance character are successfully positioned through the SSR marker technology, the accuracy of the SSR marker is further verified, the positioning work of the barley helminthosporium leaf spot resistance QTL is successfully completed within a short time by utilizing the SSR marker technology, timely and effective support is provided for disease-resistant breeding, and the method has the advantages of being high in practicability and high in practicability. According to the calculated QTL effect, the position of the QTL on the genetic map is determined, fine positioning of the QTL can be achieved, cross breeding is conducted through the screened helminthosporium leaf spot resistant genotype, a new helminthosporium leaf spot resistant barley variety can be more quickly cultivated in combination with a traditional breeding method, and the strategy of the modern genetic technology and the traditional breeding method is combined.

The invention provides a method and system for simulating the rock breaking process of a large hob through multiple hob teeth, belongs to the technical field of hob rock breaking tests, and is used for solving the problems that in the prior art, a traditional hob rock breaking simulation test device is complex, huge and inconvenient to operate. The method comprises the steps that the actual length of a test piece cutter bar is obtained, and the radius of a simulated hob is obtained; determining a point C on the radius BA line of the simulated hob, wherein the distance between the point C and the hob edge A point is equal to the actual length of the test piece cutter bar; acquiring motion parameters of the point C when the simulated hob breaks the rock; during simulation, the tail end of the test piece cutter bar is endowed with the motion parameters, a rock sample is arranged on one side of the head end of the test piece cutter bar, and the motion state of the head end of the test piece cutter bar is consistent with that of the point A on the simulated hob. The method is combined with the system, the working process of a large-diameter hob is simulated through a small-size test piece, the size of the device can be reduced, and the microscopic interaction between the hob and rock can be accurately captured.

The invention discloses a carbon-based nitrogen-rich energetic material crystal structure design method based on functional group assembly under high pressure. The method comprises the following steps: (1) carrying out structural assembly on a CN4 functional group unit and an N2 structural unit; (2) structure optimization is carried out under high pressure, and the structure with the lowest energy under each component is reserved; (3) calculating formation energy to obtain a convex hull graph under high pressure; (4) high-pressure stability evaluation: eliminating unstable structures, and performing high-pressure synthesis route evaluation on stable structures; (5) obtaining a structural phase under normal pressure; (6) performing normal-pressure physical property evaluation, eliminating structures with poor normal-pressure stability, and performing performance evaluation on structures with good stability; (7) performance evaluation: eliminating structures with poor performance; and (8) obtaining a structure with good performance, namely obtaining the target carbon-based nitrogen-rich energetic material. According to the method, the problem that a stable phase is difficult to find by searching a crystal structure of the carbon-based nitrogen-rich energetic material is solved, the carbon-based nitrogen-rich energetic material of which the mass density is higher than 2.5 g / cm < 3 > and the energy density is higher than 7.2 kJ / g is obtained, and the performance limit of the known carbon-based nitrogen-rich energetic material is broken through.