54results about How to "Accurate evaluation" patented technology

This invention provides a method and system for correcting hydrocarbon content in shale oil and gas formations. The method involves dividing the formation into sub-segments based on different core sampling intervals and collecting cores using both pressure-controlled closed core sampling and conventional core sampling methods. Pyrolysis is performed on the collected samples to obtain hydrocarbon content at different temperatures. The relationship curve between hydrocarbon content and total oil content in a single temperature range for pressure-controlled closed core sampling is used as the baseline hydrocarbon content relationship. The relationship curve between hydrocarbon content and total oil content in a single temperature range for conventional core sampling is used as the target hydrocarbon content relationship. The slope of the target hydrocarbon content relationship curve and the baseline hydrocarbon content relationship curve is analyzed to determine the hydrocarbon content requiring correction, and a correction coefficient is determined based on the slope. Therefore, a hydrocarbon content correction calculation model for conventional core sampling in different core segments is determined based on the correction coefficient. This scheme effectively overcomes the problems of high time and manpower consumption and insufficient data accuracy in existing hydrocarbon recovery technologies, achieving reliable hydrocarbon loss correction through simple operation.

This invention discloses a method and equipment for evaluating tight reservoir gas well parameters based on stress sensitivity, including: acquiring actual production data of the gas well; determining the reservoir stress sensitivity coefficient; obtaining a normalized production-mass balance pseudo-time curve, a normalized production integral-mass balance pseudo-time curve, and a normalized production integral derivative-mass balance pseudo-time curve considering stress sensitivity; fitting the above three curves to a typical curve chart for production instability analysis to determine the time shift, production shift, and position number; obtaining the dynamic reserves of the first gas well and the second gas well; using the average of the dynamic reserves of the first and second gas wells as the dynamic reserves of the gas well under the mutual constraint of the flow mass balance method and the chart fitting method; and calculating reservoir parameters and fracture parameters. This invention enables accurate evaluation of parameters such as dynamic reserves of gas wells in low-permeability tight gas reservoirs, and can conveniently, quickly, accurately, and effectively evaluate gas well parameters and reservoir parameters.

The invention relates to the technical field of logging, in particular to a method for calculating formation pressure while drilling through a corrected dc index model, terminal equipment and a storage medium, and the method comprises the four steps of formation pressure or formation pressure coefficient modeling, target well formation pressure coefficient back calculation, dc index correction calculation and formation pressure calculation. The method comprises the following steps: calculating formation pressure by adopting logging information before drilling, establishing a seismic formation pressure inversion model, calculating a dc correction index by adopting inversion during drilling, and establishing a relation model with the formation pressure according to an Eaton model; by comprehensively utilizing earthquake, logging and formation pressure coefficient data, a formation pressure model conforming to a regional formation pressure distribution rule is established, and the formation pressure of a target well is calculated more accurately by correcting a d index. According to the method, the prediction precision of the formation pressure is improved, and an important reference basis is provided for drilling engineering.

The invention discloses a control method for organic dissolved substances of a polyurea anti-corrosion coating on the inner wall of a desalting water tank, and belongs to the technical field of dissolved substance control of anti-corrosion coatings. The method comprises the following steps: determining a relation model between the organic matter dissolution amount and the soaking time in the soaking process of a polyurea anticorrosive coating test piece in demineralized water; solving the reciprocal of the soaking time of the model to obtain a relation model of the organic matter dissolution rate and the soaking time; controlling the content of organic matters which are easy to dissolve out in the test piece according to the total dissolving-out amount of the organic matters obtained by soaking the polyurea anticorrosive coating test piece in the demineralized water for the first time for 4 days; the influence degree of dissolution of the organic matters in the test piece on the water quality is controlled through the average dissolution rate of the organic matters after the polyurea anticorrosive coating test piece is primarily soaked in the demineralized water for 4-7 days. According to the invention, the control index of the organic dissolved substance of the polyurea anticorrosive coating on the inner wall of the desalted water tank is provided, and the dissolved substance can be effectively controlled.

This invention discloses a joint optimization method and system for task offloading and resource allocation based on SAGIN. It collects task and scheduling information through a SAG-IoT system; utilizes the task data and scheduling information to achieve optimal association between UAVs and IoT devices based on a matching game algorithm, and makes optimal decisions for task offloading to maximize the computational performance of the SAG-IoT system; based on optimal association, optimal task offloading decisions, and maximizing the computational performance of the SAG-IoT system, it constructs an online offloading framework based on deep reinforcement learning, constructing a path from input X(t) to optimal action x. * The low-complexity mapping strategy (t) is based on repeated interactions between different modules and a random environment, iterating and running sequentially to achieve joint optimization of task offloading and resource allocation. This invention achieves optimal computational performance while stabilizing the system queue. In addition to utilizing binary computation offloading, the optimization framework can also be extended to online partial computation offloading strategies consisting of multiple independent subtasks.

This invention discloses a sampling device and method for simulating sampling in a raw gas gathering and transportation system, relating to the technical field of gas field gathering and transportation systems. The sampling device includes: a multiphase fluid blending component for blending gas, liquid, and solid three-phase fluids to output a sample medium; a simulated sampling pipeline including a circulating pipeline with a closed polygonal layout, wherein each flow section of the circulating pipeline is connected in series with a sampling pipeline, and each sampling pipeline has multiple sampling points; and a sample collection and processing component for collecting and processing the medium taken from the sampling points of the sampling pipeline, capable of simulating the influence of different gas-liquid-solid contents, different pipeline characteristics, different sampling depths, sampling times, and other parameters of the raw gas gathering and transportation system on the representativeness of the sample. The sampling method is based on the aforementioned sampling device for simulating sampling in a raw gas gathering and transportation system.

The application discloses an ash hopper and an ash cleaning method. The ash hopper comprises an ash hopper body, an ultrasonic oscillator, a sensor assembly and a controller. The ultrasonic oscillator is arranged on the ash hopper body. The sensor assembly is used to acquire parameters representing the state of accumulated ash in the ash hopper, and the parameters at least include real-time flue gas temperature in the ash hopper body and actual accumulated ash thickness of the inner side wall of the ash hopper body. The controller generates an actual temperature deviation value according to the real-time flue gas temperature and a preset flue gas temperature. When the absolute value of the actual temperature deviation value is greater than a preset temperature deviation value, or the actual accumulated ash thickness is greater than a preset accumulated ash thickness, a start instruction is generated and executed to control the ultrasonic oscillator to start. The application can timely destroy the bonding structure between fly ash particles by arranging the ultrasonic oscillator and combining real-time monitoring data, thereby reducing the cleaning difficulty and labor intensity.

The application discloses a method, device, equipment and medium for determining anisotropic rock horizontal principal stress. The method comprises the following steps: obtaining the volume density of a core and the velocity information of at least one coring sample; determining a rigidity coefficient according to the volume density of the core and the velocity information of the at least one coring sample; and determining the anisotropic rock horizontal principal stress according to the rigidity coefficient, the pre-calculated overburden pressure and the strain information measured based on the differential strain experiment. The method solves the limitation problem of the differential strain method, can more accurately evaluate the horizontal principal stress, and is beneficial to providing effective parameters for oil and gas enrichment distribution, hydraulic fracturing, wellbore stability analysis and the like.

The application provides a system and method for online evaluation of the opening quality of tobacco tow, which comprises a high-speed image acquisition system, a high-speed area array camera, a high-brightness area array light source and a light source controller, and high-quality images are acquired through the cooperative control of the camera and the light source; the control system is responsible for calculating the tow width and uniformity of the acquired tow images, so as to online evaluate the opening quality of the tow. The application can acquire clear images of the tobacco tow under high-speed motion through the selection and cooperative control of the area array camera and the area array light source, avoids the evaluation error caused by the blurred images under high-speed motion, and simultaneously adopts a simpler width evaluation and uniformity evaluation method, thereby ensuring the calculation efficiency. The measurement system and method introduced in the application have higher automation degree, measurement efficiency and measurement precision, thereby improving the opening quality of the tow and improving the control level of the production process.

The invention belongs to the technical field of petroleum and natural gas exploration and development, and relates to a quantitative evaluation method and system for the three-dimensional migration capability of far-source tight sandstone gas, and the method comprises the steps: determining the period and time of natural gas migration according to the uniform temperature of a target layer sandstone capture inclusion and the thermal history evolution of a target layer; on the basis of the hydrocarbon generation intensity, the gas source fault activity and the weight coefficients corresponding to the two parameters, the vertical migration capability of the source fault is calculated through a vertical migration capability calculation model of the source fault; based on the area of the broken sand contact surface, the cosine value of the broken sand angle in the oil-gas migration period, the porosity and permeability in the oil-gas migration period and the weight coefficients corresponding to the four parameters, the broken sand lateral migration capability is calculated through a broken sand lateral migration capability calculation model; and calculating the three-dimensional migration capability of the natural gas through a three-dimensional migration capability calculation model based on the vertical migration capability of the source fault and the lateral migration capability of the broken sand. According to the method, the accurate evaluation of the oil-gas migration capability of the far-source tight sandstone gas is realized.

This invention discloses a visual detection-based method for evaluating the key points of marching training movements. The steps of this invention are as follows: Step S1: Multi-camera deployment and calibration; Step S2: Human body region extraction and camera switching; Step S3: Human body key point extraction; Step S4: Posture calculation of various human body parts; Step S5: Human body posture scoring. This invention analyzes the posture data of key human body parts, such as the shoulders, elbows, knees, and ankles, from images or videos of human marching to determine whether each decomposed movement during marching training meets the standards, thereby improving training efficiency. This system has the advantages of simple operation, accurate evaluation, and excellent performance.

The application discloses a kind of water-rich soft ground deep-buried underground water conveyance tunnel exterior grouting effect detection evaluation method, and relates to the technical field of tunnel engineering.The core is "laboratory verification-site detection-numerical evaluation", first through field soil sampling, dynamic triaxial test and grouting model construction, combined with nondestructive testing to establish "detection result-solid information-dynamic elastic modulus" mapping relationship;Then in situ test, impact image method and high-density surface wave method are used in engineering site, at grouting key node detection and quantization detection result and elastic modulus correlation, obtain static elastic modulus;Finally, according to design data, simulation model is built, bolt stress, transverse joint opening amount and shock subsidence displacement are calculated to determine grouting effect.The application organically integrates the three, forms a complete technical system, realizes water-rich soft ground deep-buried underground water conveyance tunnel grouting effect nondestructive accurate evaluation, and provides guarantee for engineering quality and operation safety.

The application discloses a CDC shock absorber whole vehicle abnormal sound quantification method, device, equipment and medium, relates to the automobile NVH test and diagnosis technical field, and the method comprises the following steps: obtaining subjective evaluation based on abnormal sound perception, vibration signals and sound signals measured by sensors under different driving conditions; obtaining vibration characteristic values based on the vibration signals, obtaining sound characteristic values based on the sound signals, and converting the subjective evaluation into standardized subjective score values; calculating standardized vibration values and standardized sound values, and calculating an abnormal sound comprehensive quantification index in combination with the standardized subjective score values; dividing the abnormal sound levels based on the abnormal sound comprehensive quantification index, combining the divided abnormal sound levels and the vibration characteristic values, and outputting adjustment suggestions for the CDC shock absorber. The application realizes objective and accurate quantification of the abnormal sound degree through multi-source data fusion and characteristic frequency analysis.

The invention belongs to the field of petroleum geological exploration reservoir evaluation, and discloses a leakage longitudinal wave-based anisotropy and ground stress evaluation method and related equipment.The method is mainly applied to a slow stratum, and comprises the following steps: firstly, extracting a leakage longitudinal wave, and obtaining a fast wave and a slow wave through four-component waveform data of the leakage longitudinal wave; then obtaining an auxiliary fast wave time sequence, an auxiliary slow wave time sequence and an auxiliary fast and slow wave waveform according to the fast wave and the slow wave, carrying out fast and slow wave matching processing based on a waveform matching method to obtain fast wave slowness and slow wave slowness, and finally obtaining leakage longitudinal wave anisotropy according to the fast wave slowness and the slow wave slowness. Anisotropy and ground stress evaluation is realized; according to the method, the cross dipole leakage longitudinal waves which are easy to extract are acquired, and based on the similarity of the waveforms of the fast and slow waves in the longitudinal waves, a waveform inversion method is used, and combined superposition of array sound wave data is fully utilized to suppress noise, so that the calculation precision and stability are improved, and accurate and reliable stratum anisotropy and ground stress evaluation is realized.

The invention discloses a pure highland barley powder extrusion puffing process optimization method, and belongs to the technical field of food extrusion processing. According to the method, the technical problems that the high-fiber highland barley powder is easily subjected to insufficient puffing and too hard texture in the extrusion process, and the retention rate of heat-sensitive functional components such as beta-glucan is low are solved. The method comprises the following steps: optimizing process parameters based on a multi-target response surface method, and determining the water content of materials, the temperatures of a first region, a second region, a third region and a fourth region of a machine barrel and the rotating speed of a screw; carrying out low-temperature superfine grinding on the highland barley powder; a compound emulsifier and edible sodium bicarbonate are added during hardening and tempering; during extrusion, the temperature gradient between the third area and the fourth area is controlled to be smaller than or equal to 20 DEG C; the method is mainly used for producing the high-quality pure highland barley puffed food, the puffing rate and the beta-glucan retention rate of the product can be synergistically improved, the hardness of the product is effectively controlled, and the eating quality and the nutritional value are improved.

The method, system, device and medium for evaluating the open flow capacity of a gas well in the early stage of reservoir reconstruction include the following steps: setting a metering device at the wellhead of a gas production well; collecting the daily oil, gas and liquid production of the wellhead of the gas production well by the metering device; obtaining the weight M of the total output fluid at the wellhead of the gas production well according to the daily oil, gas and liquid production of the wellhead of the gas production well; calculating the density p of the mixed-phase fluid in the wellbore; obtaining the flow pressure gradient G according to the density p of the mixed-phase fluid in the wellbore DS and the bottom hole flowing pressure P wf ; obtaining the absolute open flow capacity q DS according to the flow pressure gradient G wf and the bottom hole flowing pressure P AOF by using the point method empirical formula, and evaluating the actual productivity of the gas production well. The present application can quickly and real-timely calculate the flow pressure gradient in the wellbore of the production well and the bottom hole flowing pressure. The method is simple, practical and effective, and can timely and accurately evaluate the actual productivity of the gas production well.

The application discloses a kind of water hammer pressure wave signal filtering effect evaluation method and device, the method comprises: according to first inverse frequency and second inverse frequency, determine first evaluation index data, first inverse frequency and second inverse frequency are located in second cepstrum response curve, second cepstrum response curve has second target energy peak value;Judge whether second target energy peak value satisfies preset boundary constraint, and preset boundary constraint is the constraint between first target energy peak value and second target energy peak value, and first target energy peak value is located in first cepstrum response curve;If yes, according to second cepstrum response curve, obtain third cepstrum response curve;According to second target energy peak value and extreme point set in third cepstrum response curve, determine second evaluation index data;According to first evaluation data and second evaluation data, the filtering effect of water hammer pressure wave signal is comprehensively evaluated.The application can evaluate the filtering effect of water hammer pressure wave signal in time and accurately.

This invention provides an experimental apparatus for in-situ heating and conversion of organic matter into oil and gas. The apparatus includes: a vessel body with a cavity for holding an organic sample; a heating device for heating the vessel body; an air inlet device connected to a first end of the cavity for supplying fluid into the cavity; and a reaction product collection device connected to a second end of the cavity for collecting the products from the in-situ heating of the organic sample in the cavity. This invention overcomes the technical problem of low accuracy in measuring the amount of oil and gas produced by in-situ heating and conversion of organic matter obtained through existing laboratory thermal simulation methods.

The application belongs to the technical field of locomotive driver ergonomics. The application provides a virtual reality-based evaluation system for the fatigue of a locomotive driver. The disclosed embodiment builds a highly simulated driving scene, simulates long-time and high-intensity driving tasks, reproduces various situations that may cause driver fatigue in a risk-free manner, and monitors and analyzes the physiological response, behavioral change and psychological state of the driver in the simulation process in real time through high-precision equipment, effectively solving the problems of lack of accuracy and real-time of the existing evaluation methods, and timely and accurately evaluating and finding the fatigue degree of the locomotive driver in the task execution process, thereby providing safety guarantee for locomotive driving.

The invention relates to the technical field of underground engineering grouting, in particular to a flowing water grouting plugging performance quantitative evaluation method based on micro-fluidic fluorescence imaging, which comprises the following steps: calibrating grout with different known concentrations by using a fluorescent tracer agent to establish a quantitative relation model; carrying out a flowing water grouting test in the micro-fluidic chip so as to capture a fluorescence image sequence in the slurry migration and plugging process; inverting the fluorescence image sequence into a slurry concentration spatio-temporal evolution field based on a quantitative relation model; identifying the slurry-flowing water interface in the spatio-temporal evolution field of the slurry concentration, and tracking the dynamic evolution process of the slurry-flowing water interface to calculate the formation time of the slurry-flowing water interface and the spatio-temporal evolution law of the slurry concentration; and calculating a plugging strength index according to the slurry concentration spatio-temporal evolution field and the slurry-flowing water interface forming time, and evaluating the plugging efficiency of the grouting material by using the plugging strength index. Therefore, the problems that in an existing flowing water grouting technology, the plugging process is invisible, and key performance is difficult to quantify are solved.

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 present application relates to a kind of shale hydration damage continuous evaluation method based on acoustic wave and Mori-Tanaka method, comprising: calculating shale core elastic modulus, bulk modulus and shear modulus;First Mori-Tanaka under the shale elastic parameters obtained by considering only the water saturation of shale pore portion is calculated;Second Mori-Tanaka under the shale elastic parameters obtained by introducing fracture density is calculated;Shale elastic parameters based on acoustic wave are calculated, and the relative error of shale elastic parameters based on acoustic wave and the elastic parameters obtained by Mori-Tanaka theory is judged to output fracture density;According to the output fracture density, with the initial elastic parameters of shale as input parameter, the elastic parameters of dry rock at hydration t time are calculated by combining Mori-Tanaka theory, and hydration damage coefficient is calculated.The present application can carry out non-destructive acoustic wave detection to the same core in different hydration stages, and the influence of water saturation is eliminated by combining theoretical model, to realize the continuous, accurate evaluation of structure damage in shale hydration process.

This invention provides a method and application for evaluating tumor drugs based on PBMCs and prostate organoids, belonging to the field of biotechnology. The method includes the following steps: (1) Construction of tumor organoids: pre-treating excised tissue to obtain cell clusters, encapsulating the cell clusters with Matrigel, plate-coating, and adding tumor organoid culture medium for culture; (2) Isolating peripheral blood mononuclear cells; (3) Co-culturing peripheral blood mononuclear cells with tumor organoids to obtain CTL cells; (4) Co-culturing CTL cells with tumor organoids, treating the co-culture mixture with tumor drugs, and judging the efficacy of tumor drugs. The tumor drug evaluation method based on PBMCs and prostate organoids provided by this invention utilizes the fact that tumor organoids can more closely reproduce the tumor microenvironment, and more accurately evaluate the efficacy of anticancer drugs.

The application discloses a kind of based on short weapon competition project's integral system and device thereof.The based on short weapon competition project's integral system, including parameter setting module, hardware sensing module, integral statistics module, fault detection module and judge judging module.The preset parameter of the application is transmitted to judge judging module by parameter setting module, then the obtained sensing signal is transmitted to integral statistics module by hardware sensing module, then the integral condition is obtained by integral statistics module to the sensing signal received and is transmitted to judge judging module, the detection result is obtained by the monitoring data of fault detection module and is transmitted to judge judging module, finally the data collected is fed back to preset judge by judge judging module, and the processing result given by preset judge is recorded in cloud, improve the integral accuracy of short weapon competition project, solve the problem of low integral accuracy of short weapon competition project in prior art.

The application discloses a kind of power equipment operating state evaluation system and evaluation method, it is related to power equipment state monitoring and evaluation technical field, the system includes data acquisition module, data integration module, data analysis module, data fusion module, state evaluation module and decision support module;The present application integrates a variety of data acquisition means, including traditional sensor data acquisition, image and video information acquisition of equipment appearance and terahertz nondestructive testing technology, realizes the comprehensive, real-time monitoring of power equipment operating state, this diversified data acquisition mode not only improves the accuracy and integrity of data collection, but also provides information basis for subsequent data analysis and state evaluation, the introduction of terahertz detection technology makes it possible to detect the internal insulation materials and structure of the equipment, fills the gap of traditional detection means in this regard, improves the accuracy and reliability of power equipment state evaluation.

This invention relates to a method and system for determining the minimum miscibility pressure in capillary simulation considering the nanoconfining effect. The method includes: constructing a fluid thermodynamic model based on the nanoconfining effect; establishing a one-dimensional capillary simulation model integrating the nanoconfining effect; conducting a series of constant pressure displacement simulations considering the confinement effect; determining the minimum miscibility pressure under nanopores based on the inflection point method; modifying the fluid equation of state based on the nanoconfining effect, and substituting the modified equation of state into the one-dimensional capillary displacement model for numerical simulation to obtain the recovery response characteristics under different pressure sequences. The minimum miscibility pressure is accurately characterized by the inflection point method, and the influence of the nanoconfining effect on miscibility can be quantitatively evaluated.

The invention belongs to the technical field of traditional Chinese medicine detection and analysis, and discloses a traditional Chinese medicine fingerprint spectrum detection method of lipid-lowering granules. 2, 3, 5, 4 '-tetrahydroxystilbene-2-O-beta-D glucoside, aurantio-obtusin, emodin, physcion and ursolic acid are taken as reference substances, a high performance liquid chromatograph is adopted for detection, a traditional Chinese medicine fingerprint spectrum similarity evaluation system analyzes chromatograms of all the samples, and a reference fingerprint spectrum is generated; and S3, calculating the similarity between the to-be-detected sample and the control fingerprint spectrum in a traditional Chinese medicine fingerprint spectrum similarity evaluation system according to the chromatogram obtained in the step S3, and when the similarity is not lower than 0.95, judging that the to-be-detected sample is a qualified lipid-lowering preparation. The method provided by the invention can comprehensively and accurately evaluate the overall quality of the lipid-lowering granules. The detection method is simple, good in reproducibility and stability and high in detection accuracy.

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 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.

The invention discloses a human resource data visual management method and system based on a semantic analysis technology, and relates to the technical field of human resource management.The method comprises the steps that digital production data and text production data of employees are collected and analyzed, and employee evaluation indexes are determined; performing normalization processing on the digital production data and the text production data, calculating expected output, and determining an employee ability evaluation level; constructing a neural network evaluation model, and training the neural network evaluation model by using the digital production data and the text production data until the model converges; and evaluating the employee ability by using the converged neural network evaluation model, and outputting an employee evaluation level. According to the method, the digital production data and the text production data of the employees are collected at the same time, preprocessing and semantic analysis are carried out, dominant and implicit information in the human resource data can be more comprehensively mined, and the problem that key information is difficult to rapidly and accurately extract in a traditional data processing mode is solved.