49results about How to "Quick evaluation" patented technology

The invention discloses an underground expressway reinforcement learning intelligent line selection method based on a GIS and an InSAR, and the method comprises the steps: providing urban environment multi-source data based on the GIS and the InSAR, building a rasterized observation space, building an initial linear continuous line space, and jointly building a line selection space of a reinforcement learning model; the strategy network of the reinforcement learning model receives parameter information of the line selection space and outputs linear parameters; the linetype builder corrects linetype parameters and updates the line selection space; the multi-index evaluation model outputs reward and punishment values according to the parameter information of the new line selection space, a value network of the reinforcement learning model receives the reward and punishment values, calculates a gradient for updating, and transmits a gradient updating strategy model; circulating until a round of line selection is completed, and calculating an accumulated reward value; and when the accumulated average reward value does not reach the optimization target, circulating until the optimization target is reached, and finding the optimal design. The method has the advantage of being beneficial to improving the efficiency and accuracy of underground road design.

The invention discloses a scenario simulation experiment design method and device, and the method comprises the steps: processing experiment demand information, and obtaining a simulation scenario; processing the simulation scenario by using an experiment design model to obtain a simulation experiment sample and experiment sample space description information; processing the simulation experiment sample and the experiment sample space description information by using an integrated operation model to obtain an experiment simulation result; performing situation monitoring on the simulation scenario by using a situation monitoring model to obtain simulation process data; and comprehensively evaluating the simulation process data and the experiment simulation result to obtain a comprehensive evaluation result. According to the method, the simulation scenario is subjected to experimental design, and the scenario simulation experiment efficiency is improved. The simulation process data and the experiment simulation result are comprehensively evaluated to obtain a comprehensive evaluation result, and rapid and efficient evaluation of the scenario simulation result is realized.

The invention discloses an intelligent visual rating device and method for fabric appearance flatness. The method comprises the following steps: S1, acquiring a fabric image; s2, preprocessing the fabric image; s3, camera calibration and image correction; s4, feature extraction and matching; s5, stereo matching and depth estimation; s6, performing three-dimensional reconstruction; s7, grading the appearance flatness of the fabric; the objective rating method for automatically processing the fabric depth image difference is constructed on the basis of quickly reconstructing the fabric appearance form based on a machine vision technology, so that the fabric flatness detection efficiency and accuracy are improved, and a more reliable and objective basis is provided for fabric quality evaluation.

The invention provides a specific chromatogram construction and content determination method of the radix asparagi and radix ophiopogonis decoction preparation and a thin-layer chromatography identification method of traditional Chinese medicine flavor components in the radix asparagi and radix ophiopogonis decoction preparation. The specific chromatogram construction method of the radix asparagi decoction preparation comprises the following steps: step 1, taking mangiferin, quercetin-3-O-glucuronide, baicalin, wogonoside and ammonium glycyrrhizinate reference substances, and adding a solvent to prepare a reference substance solution; step 2, taking an Eupatorium japonicum-Liupu decoction reference sample, and adding a solvent to prepare a test solution; and 3, respectively detecting the reference substance solution and the test solution by using high performance liquid chromatography, and by taking the characteristic spectrum of the reference substance solution as a reference spectrum, selecting a common peak from the characteristic spectrum of the test solution to construct the characteristic spectrum of the radix asparagi decoction preparation.

The invention discloses a method for rapidly evaluating the performance of an artificial graphite raw material, which is suitable for soft carbon raw materials such as common petroleum coke and needle coke, and comprises the following steps of: carrying out microstructure quantitative analysis on a crushed and heat-treated sample, and calculating comprehensive structure data by combining contribution factors of different microstructures; meanwhile, the soft carbon raw material is subjected to graphitization treatment to obtain graphite powder for battery assembly, the capacity of a finished battery is tested, finally, comprehensive structure data obtained through calculation is associated with the capacity of the finished battery, the capacity performance of a graphitized product corresponding to the soft carbon raw material is predicted, and the purpose of rapidly evaluating the artificial graphite raw material is achieved. The method is simple, fast, high in accuracy, time-saving, labor-saving and high in efficiency.

The invention relates to a biological tank effluent total phosphorus evaluation method which comprises the following steps: collecting an inflow water sample of a biological tank, water samples in different stages in the biological tank and an effluent water sample of the biological tank, and pretreating the water samples in different stages in the biological tank to obtain a sludge sample; respectively acquiring total phosphorus data in an inlet water sample and an outlet water sample and microflora composition data in the sludge sample in each stage; processing and analyzing the microflora composition data to obtain data of three bacteria in the sludge sample; establishing an evaluation system among the three types of bacteria, the total phosphorus content of the inlet water and the total phosphorus content of the outlet water according to the data of the three types of bacteria, the total phosphorus content of the inlet water and the total phosphorus content of the outlet water; acquiring data of three bacterial genus in a sludge sample corresponding to a to-be-evaluated effluent water sample and data of total phosphorus in inflow water, and evaluating the total phosphorus of the effluent water sample by using the evaluation system. The evaluation method can quickly evaluate the phosphorus removal effect of the biological tank and the total phosphorus in the effluent.

The invention provides a cross-linking degree regulation and control method and a cross-linking degree evaluation method for a cross-linked polyethylene pipe. The cross-linking degree regulation and control method comprises the following steps: acquiring cross-linking degree data of a cross-linked polyethylene pipe at different cross-linking temperatures and different cross-linking times, determining a relationship between the cross-linking degree and the cross-linking time of the cross-linked polyethylene pipe at different cross-linking temperatures, and further determining the cross-linking time when the cross-linked polyethylene pipe reaches a cross-linking degree threshold value at different cross-linking temperatures, determining the relationship between the crosslinking temperature and the crosslinking time when the crosslinking polyethylene pipe reaches the crosslinking degree threshold value; obtaining the cross-linking temperature of the target cross-linked polyethylene pipe; and determining the appropriate crosslinking time of the target crosslinked polyethylene pipe by utilizing the crosslinking temperature of the target crosslinked polyethylene pipe and combining the relationship between the crosslinking temperature and the crosslinking time when the crosslinked polyethylene pipe reaches a crosslinking degree threshold value, and regulating the crosslinking degree of the target crosslinked polyethylene pipe.

The invention relates to the technical field of preparation of waste gas adsorption materials, in particular to a preparation method for improving the adsorption performance of waste gas adsorption resin, which comprises the following steps: taking a monomer, adding a deblocking agent to remove a polymerization inhibitor therein, and mixing with a pore-foaming agent and an initiator to serve as an oil phase; taking pure water, adding a dispersing agent, dissolving, and adding an anti-emulsifying agent to prepare a water phase; adding the oil phase into the water phase, stirring until the oil phase is dispersed into oil droplets with a preset size, heating and polymerizing, and adjusting the heat preservation time of the polymerization reaction process according to the pore formation condition; filtering after the reaction, washing with deionized water until effluent is transparent, screening to obtain an initial polymer, removing the pore-foaming agent, fully swelling the dried initial polymer through an organic solvent, adding Lewis acid, fully dissolving, heating, preserving heat, filtering and washing to obtain the adsorption resin. The polymerization temperature and the heat preservation time can be adjusted according to the pore channel characteristics of the adsorption resin, and the preparation quality of the adsorption resin is improved.

The invention relates to the technical field of oil and gas field development, and discloses a horizontal well production condition determination method and device and electronic equipment. The method comprises the steps that an oil reservoir and horizontal well coupling model with fractal characteristics is determined according to a preset model construction strategy; and according to preset horizontal well production conditions and the oil reservoir and horizontal well coupling model, the on-way flow and pressure distribution condition of the horizontal well during production are determined. According to the method and device for determining the production condition of the horizontal well and the electronic equipment, the on-way flow and the pressure distribution condition of the horizontal well during production are determined through the predetermined oil reservoir and horizontal well coupling model with the fractal characteristics, and the influence of fractal parameters on the yield and the on-way flow of the horizontal well is analyzed; and the pressure distribution and flow distribution conditions of the horizontal well during production can be more accurately predicted, so that accurate evaluation on the horizontal well in a highly heterogeneous reservoir is realized.

The present invention provides a quantitative evaluation method for construction dust pollution sources, comprising the following steps: S1, determining the definition of dust pollution sources; S2, constructing a calculation method for a dust propagation attenuation model; S3, screening the types of dust attenuation parameters; S4, conducting multiple experiments through actual detection to determine the calculation formula and coefficient of each dust attenuation parameter in formula (1); S5, transforming the dust attenuation parameters, and verifying formula (2) by comparing the actual TSP mass concentration with the calculated TSP mass concentration; S6, based on the calculation result of formula (2), evaluating in two situations. The present invention combines a variety of parameters that affect dust attenuation to construct a model of dust pollution propagation, can quickly evaluate the category of dust pollution sources, has high calculation accuracy, provides technical support for the evaluation of dust pollution source categories, and is particularly significant for predicting and avoiding dust pollution at construction sites.

The present application relates to a kind of LDPE optical protection film resin evaluation method, by controlling the processing method of test sample, crystalline point test condition, and the relationship between the crystalline point of resin blown film and melt strength is established, whether the raw material can be quickly judged to be qualified, compared with prior art, especially relative to existing post-test can be faster, more accurate.The present application is suitable for the rapid evaluation of LDPE optical protection film resin.

The invention relates to the technical field of information and communication technologies suitable for management or supervision, in particular to a container wharf port operation efficiency evaluation method and system, and the method comprises the steps: obtaining ship berthing data in a target time period, and obtaining a berthing data set; screening container loading capacity data from the berthing data set to obtain a loading capacity data set; performing availability index evaluation on the loading capacity data set to obtain an availability result; and executing an input efficiency model on the availability result, and performing efficiency evaluation. Through targeted combination of the availability index and the efficiency model, accurate evaluation of the port operation efficiency is realized, and meanwhile, because the focused evaluation data is screened and cleaned data, the data can be executed more quickly when being used, and then rapid evaluation of the port operation efficiency is realized.

The invention discloses a shale gas reservoir fracture complexity evaluation method and device, and relates to the technical field of petroleum and natural gas engineering.The method comprises the steps that the layer Young modulus and the layer Poisson ratio of each bedding in a standard rock core are obtained; determining a layer mechanical index based on the layer Young modulus and the layer Poisson's ratio, dividing layers, and updating the assignment of each layer; determining a total mechanical parameter layer assignment according to the assignment of each level, and dividing Z levels; determining a layer weight coefficient according to the total mechanical parameter layer assignment and the layer mechanical index of the Z level; determining a communication coefficient based on the layer weight coefficient, the layer mechanical index and the total mechanical parameter layer assignment; and grading the standard rock core according to the communication coefficient so as to determine the complexity of the crack of the corresponding reservoir section. According to the method, the problem that existing crack complexity evaluation methods all start from the perspective of natural cracks and neglect bedding development characteristics of rocks is solved, the complexity of the cracks can be rapidly evaluated, and the cost is greatly reduced.

The invention discloses a tight sandstone reservoir quantitative classification evaluation method and related equipment, and belongs to the field of petroleum exploration. According to the method, six key parameters including an oil layer structure index, an oil layer thickness, permeability and a variable coefficient thereof, and oil saturation and a variable coefficient thereof are optimized, and a comprehensive oil enrichment index is innovatively constructed; therefore, the tight sandstone reservoir type can be rapidly and accurately evaluated, and important guidance is provided for tight sandstone reservoir exploration and development. The method is simple and practical to operate, rapid and quantitative tight sandstone reservoir classification evaluation can be achieved, and the evaluation result can effectively guide tight sandstone reservoir exploration and development target optimization and targeted technical policy making.

The present invention provides a noise pollution multi-parameter evaluation method based on ratio analysis method, comprising the following steps: S1, a calculation method for constructing a noise pollution propagation attenuation model; S2, screening the type of noise attenuation parameters; S3, determining the calculation formula and coefficient in formula (1) by detection; S4, transforming the noise attenuation parameters, and verifying formula (2) by comparing the actual sound level value with the calculated sound level value; S5, based on the calculation result of formula (2), and evaluating the category of noise pollution source by ratio analysis method. The present invention combines a plurality of parameters that have an impact on noise attenuation to construct a noise pollution propagation model, can quickly evaluate the level of noise pollution source, has high calculation accuracy, provides technical support for the evaluation of noise pollution source category, and is particularly instructive for the prediction and avoidance of construction site noise.

The present invention discloses a method for simultaneously detecting multiple precocious puberty biomarkers; the method comprises the following steps: 1) taking a urine sample and adding an internal standard solution; 2) enzymolysis: adding a glucuronidase solution to the sample solution of step 1) for enzymolysis; 3) the samples after enzymolysis are respectively loaded on an HLB solid phase extraction plate and a MAX solid phase extraction plate, and after washing with a rinsing liquid to remove interfering substances, the samples are eluted with an eluent, and the eluents of the HLB solid phase extraction plate and the MAX solid phase extraction plate are combined, and UPLC-MS detection is performed to obtain the contents of multiple precocious puberty biomarkers; the multiple precocious puberty biomarkers include exogenous hormone compounds, plasticizers, bisphenol A compounds, and endogenous hormone compounds; the detection types of the multiple precocious puberty biomarkers are 102 or more. The present invention is easy to operate and greatly improves the detection speed, throughput, and types and quantity of precocious puberty biomarkers covered.

The application discloses a kind of quick evaluation methods of artificial graphite raw material performance, it is applicable to ordinary petroleum coke and needle coke and other soft carbon raw materials, by quantitative analysis to microstructure of sample after crushing, heat treatment, and comprehensive structure data are calculated by combining contribution factor of different microstructure;At the same time, the soft carbon raw material is graphitized to obtain graphite powder and is assembled into battery, and the capacity of finished battery is tested, finally, the comprehensive structure data calculated is associated with the capacity of finished battery, the capacity performance of the corresponding graphitized product of soft carbon raw material is predicted, the purpose of quickly evaluating artificial graphite raw material is achieved, the method is simple and fast, the accuracy is high, time and labor are saved, and the efficiency is high.

The invention discloses a simulation model implementation method and device. The method comprises the following steps: acquiring simulation information; processing the simulation information to obtain simulation instruction information; and processing the simulation instruction information to obtain target simulation result information. Wherein the step of processing the simulation information to obtain the simulation instruction information comprises the substeps of processing the simulation information to obtain simulation script information; analyzing and processing the simulation script information to obtain simulation script syntax tree information; and processing the simulation script syntax tree information to obtain simulation instruction information. It can be seen that the simulation script code can be automatically generated, execution and evaluation of the simulation model can be rapidly carried out, and the accuracy and reliability of the simulation model can be improved.

The invention relates to the field of crop quality identification, and particularly provides a field rapid evaluation method of sesbania lignin. According to the method, a hydrochloric acid-phloroglucinol solution is used for dyeing the cross section of a sesbania stem growing in the field, and lignin of different sesbania materials is rapidly evaluated in the field. The method can rapidly and efficiently evaluate the lignin content of sesbania, is simple and easy to operate, can be carried out in the field and does not depend on laboratory instruments and equipment, so that the evaluation efficiency of the germplasm resources of sesbania is improved, the screening of new varieties is accelerated, and the method is suitable for industrial popularization and application.

This invention relates to the field of resource and environmental protection technology, and in particular to a method for evaluating the resource and environmental carrying capacity of island cities based on ecosystem service functions. The comprehensive evaluation index of ecosystem services obtained through the assessment and calculation of ecosystem service functions is applied to the rapid assessment of resource and environmental carrying capacity, providing decision support for regional ecosystem protection and sustainable development.

The invention relates to a method for optimizing a favorable area of coal series source rocks in a high-over mature stage, and belongs to the technical field of oil-gas exploration. The method comprises the following steps: firstly, based on a geochemical parameter relation, determining an effectiveness evaluation standard of coal series source rocks in a high-over mature stage; determining TOC calculation formulas and identification standards of different source rocks based on correlation between actually measured TOC of different coal measure source rocks and logging parameters and logging responses of different source rocks; and finally, constructing coal measure source rock favorable area evaluation parameters, calculating TOC and thickness of different coal measure source rock layers of each well at a target interval, and determining the magnitude of the source rock evaluation parameters of each well, thereby determining a source rock favorable area and further providing a basis for exploration and deployment of coal measure natural gas resources. The validity evaluation standard determined by the invention is combined with a large amount of actually measured data, and the method is reliable and accords with the production result; the quality and the thickness of the source rock are considered while favorable area evaluation parameters are constructed, differences and contributions of different lithologic coal series source rocks are comprehensively considered, the method is more scientific, reasonable and comprehensive, and the application effect is good.

The application relates to a rock mass quality rapid evaluation method, device and equipment and a readable storage medium, which comprises the following steps: obtaining target drilling parameters after a drilling machine drills into a rock mass to be measured; inputting the target drilling parameters into a preset rock hardness prediction model, a preset rock weathering prediction model and a preset rock mass integrity prediction model to obtain a target rock hardness comprehensive index, a target rock weathering comprehensive index and a target rock mass integrity comprehensive index; determining a target rock strength grade based on a mapping relationship between the target rock hardness comprehensive index, the target rock weathering comprehensive index and rock strength grades; determining a target rock mass integrity grade based on a mapping relationship between the target rock mass integrity comprehensive index and rock mass integrity grades; and determining a target rock mass quality grade of the rock mass to be measured based on a mapping relationship between the target rock strength grade, the target rock mass integrity grade and rock mass quality grades, so that drilling, rapid and accurate evaluation of engineering rock mass quality is realized.

The invention discloses a semi-automatic lithium slurry button cell preparation device and a use method thereof, the semi-automatic lithium slurry button cell preparation device comprises a convex rail button cell accessory substrate, the convex rail button cell accessory substrate is provided with a positive and negative electrode lithium slurry four-side coating device, and the convex rail button cell accessory substrate is internally provided with a movable current collector carrying table. By adopting the device, the rapid preparation of the lithium slurry battery is realized. According to the invention, the problems of complex process, high solvent cost and toxic pollution in the traditional lithium ion battery coating process are avoided, and meanwhile, the problem that the lithium slurry battery is difficult to cut and assemble in the button cell preparation process due to the flowability of the slurry is solved. By adopting the semi-automatic preparation device for the lithium slurry button cell, the lithium slurry button cell with good uniformity can be efficiently prepared, so that the aim of quickly evaluating the slurry performance, the slurry stability, the pole piece suitability and the button cell performance of the lithium slurry cell is fulfilled.

The present invention proposes a method for evaluating the vortex-induced vibration sensitivity of drivers and passengers on large-span bridges. The method of the present invention comprises four steps: step one: establishing a vehicle-person vibration system; step two: establishing a four-wheel road surface random excitation model and a vortex-induced vibration excitation model; step three: calculating the evaluation index of driver and passenger sensitivity, comprehensively considering the vehicle vibration acceleration and the human body vibration acceleration, and evaluating the driver and passenger sensitivity from the two perspectives of vehicle and vortex-induced vibration events, so that the evaluation result is more real and reliable. Step four: evaluation of driver and passenger sensitivity. After obtaining the frequencies and modes of each order of the bridge, when vortex-induced vibration occurs, the present invention can comprehensively and quickly evaluate the driver and passenger sensitivity from the two perspectives of a single vehicle and vortex-induced vibration events.

The application discloses a coal seam lithium-rich layer detection method based on well logging curves and statistical analysis, and belongs to the technical field of mineral resource exploration. The method comprises the following steps: selecting a series of representative coal seam positions for systematic sampling, and preparing the samples into piston samples and powder samples; determining the kaolinite and lithium content of the powder samples, and distinguishing lithium-rich and ordinary coal samples; systematically determining various geophysical response parameters of the piston samples, such as density, resistivity and wave velocity, and screening out sensitive discrimination indexes for lithium enrichment; setting a window size, calculating the moving statistical value curves of the density, resistivity, wave velocity and other well logging curves sensitive to the lithium-rich layer, calculating principal components, and using the selected principal components and a support micro machine to train a prediction model, so as to predict the lithium-rich layer in the coal seam. The application combines geophysical logging, statistical analysis, principal component analysis and a support vector machine, and provides a fast, economical and non-destructive means for lithium resource exploration in coal.

A copper foil brittleness detection sample preparation device and a copper foil brittleness detection method provide a sample preparation and evaluation scheme with low cost, high efficiency and stable reproducible winding stress. The copper foil brittleness detection sample preparation device comprises a seat part and a pressure applying part which are matched with each other. The seat part is provided with a sample groove extending along a first direction. A middle part of the sample groove is provided with an elastic support part. The pressure applying part comprises a guide piece extending along a vertical direction and an indentation forming piece slidingly connected to the guide piece. The indentation forming piece is distributed opposite to the elastic support part along the vertical direction.

The application discloses a kind of comprehensive evaluation methods of axial extrusion pipe joint performance, determine evaluation index, the evaluation index includes the quality of axial extrusion pipe joint, axial extrusion connection assembly load, rotating fatigue residual fatigue life, processing manufacturing cost and axial compensation amount;Based on the dimensionless value of evaluation index and weight calculation obtains comprehensive evaluation value, the performance of N kinds of axial extrusion pipe joint of the same kind of catheter specification is evaluated by comprehensive evaluation value.If comprehensive evaluation value is lower than set threshold value, then it is optimized towards the direction of increasing compensation amount and processing cost, and weakens residual fatigue life and load index.The application combines test method, simulation method, expert group review and mathematical statistics method, considers the performance of axial extrusion pipe joint in dynamics, statics two aspects, with comprehensive evaluation method, various forms of axial extrusion pipe joint are scientifically, quickly, quantitatively evaluated, and have good practicability.

The application discloses a kind of lake sediment environmental quality comprehensive evaluation and risk factor identification method, comprising: collecting sediment samples of different point of lake, analyzing the pollution occurrence characteristics of traditional pollutants and trace / trace pollutants of sediment, and deducing pollutant sediment facies prediction no-effect concentration data based on existing database;According to the measured pollutant concentration data of pollutant sediment facies prediction no-effect concentration, dimension reduction is three parameters, and a sediment environmental quality comprehensive evaluation equation is established based on the three parameters;According to the equation, the sediment environmental quality comprehensive score is calculated using the measured concentration data, the sediment environmental quality grade is divided, and the main risk factor of sediment is identified.The method of the application can realize fast, accurate and comprehensive evaluation of lake sediment environmental quality and identification of main risk factors.