30results about How to "Objective evaluation" patented technology

The invention relates to a new energy automobile energy consumption evaluation method based on typical climate characteristics. The method comprises the following steps: step 1, establishing a typical climate region model; 2, establishing a typical test scene in combination with typical climate conditions; step 3, collecting power consumption data of the vehicle in different test scenes; and 4, energy consumption analysis and evaluation: establishing an energy consumption model, and analyzing the energy consumption condition in each typical test scene. According to the method, the energy consumption of the new energy vehicle in different use scenes can be comprehensively evaluated based on the typical climate characteristics, so that the evaluation is more objective and closer to the real use feeling of a user.

The invention discloses a hospital research and development project approval evaluation method based on big data analysis, and the method is characterized in that the method comprises the specific steps: S1, obtaining data from a related data source of a target hospital, the data source comprises one or more of a hospital official website, a scientific research project declaration system, a medical resource management system and national and local scientific research project management platforms; s2, screening and determining evaluation indexes, and screening out key evaluation indexes from the obtained data; the invention belongs to the technical field of data processing, processes of data collection, preprocessing, analysis, calculation and the like are automatically completed through a big data analysis technology, and the approval period is greatly shortened, so that the approval efficiency is improved; based on a scientific evaluation model and a big data analysis technology, the potential and value of each application project are objectively and comprehensively evaluated, and human intervention and subjective judgment are reduced, so that the examination and approval accuracy is improved.

The invention discloses a supplier evaluation method and equipment based on a data sharing mechanism, and a medium, belongs to the technical field of supply chain management, and aims to solve the technical problem of how to realize data sharing and intercommunication among different service systems, carry out comprehensive, scientific, objective and accurate grade division on suppliers, and improve the evaluation efficiency of the suppliers. In order to improve the efficiency and effect of supply chain management, the technical scheme adopted by the invention comprises the following steps of: constructing a data sharing platform: according to sharing requirements among departments, integrating data resources of each business system according to a unified format, and taking a standardized data directory and data resources as a basis; according to assessment rules and requirements, different evaluation indexes are selected, scheme making is completed, a weight is distributed for evaluation factors in an evaluation index system, and the importance of the evaluation factors in comprehensive evaluation is reflected; establishing an assessment personnel pool, and randomly distributing assessment personnel for different suppliers; performing assessment scoring and data collection; performing comprehensive scoring; and grade calculation and assessment result application.

The evaluation system comprises a service efficiency evaluation index module, a service efficiency evaluation standard module and an insurance institution evaluation standardization module, the service efficiency evaluation index module is used for screening the requirements of laws and regulations and regulations, acquiring data from government supervision units, insurance companies and enterprises, and extracting indexes influencing the safety responsibility insurance service efficiency from the requirements and the data; in conclusion, the evaluation method provided by the invention can enhance the attention degree of the insurance service institution on the safety responsibility insurance work, and supervise and urge the insurance service institution to check weak links in the work of the insurance service institution according to the evaluation method; in addition, the evaluation standard is beneficial for the competent department to supervise the responsibility insurance, the competent department can supervise and manage the responsibility insurance service work of the insurance institution according to the evaluation standard, it is ensured that the insurance service institution carries out business according to regulations, and the healthy development of the responsibility insurance market is ensured.

The application discloses a kind of based on big model's exclusive team performance portrait generation and intelligent evaluation system, belong to artificial intelligence and performance management technical field.The system includes data acquisition module, index system management module, performance calculation engine module, portrait generation module, big model intelligent analysis module and visual display module.Index system adopts four-level structure, including six first-level indexes, twenty-four second-level indexes, fifty-eight third-level indexes and a number of fourth-level indexes.Performance calculation engine is based on difference ratio method to calculate index score, portrait generation module generates radar chart, star rating and ranking, and big model intelligent analysis module is based on big language model to carry out intelligent evaluation and ability analysis.The application realizes the scientificity, intelligentization and visualization of exclusive team performance management, and provides strong support for exclusive team construction decision.

The present invention provides a method for evaluating the diffusion behavior of a regeneration agent when mixing and regenerating old asphalt based on non-equilibrium molecular dynamics simulation. Through stretching dynamics simulation, the dynamic process before the system reaches equilibrium during mixing and a period of time thereafter is more realistically simulated, and the non-equilibrium dynamic characteristics of the system are obtained. The gyration radius and diffusion coefficient of the regeneration agent calculated based on the obtained non-equilibrium dynamics trajectory can more objectively evaluate the diffusion behavior of the regeneration agent. The advantage of the present invention is that the mixing process is simulated more realistically by using non-equilibrium dynamics. In addition, after the mechanical mixing is completed, the mixed system is still in a non-equilibrium state, and the further diffusion of the regeneration agent is also described by NVT ensemble dynamics simulation. Therefore, these two steps of non-equilibrium dynamics simulation better achieve the reproduction of the fusion process of old asphalt and regeneration agent at the nanoscale on a macro scale, and can provide a more accurate and realistic characterization of the diffusion properties and behavior of the regeneration agent.

The present application discloses a PCB defect detection method, system, device and storage medium, which belongs to the field of defect detection technology. The method comprises: obtaining a PCB data set to preprocess the image of the obtained PCB data set; constructing a YOLO-v10n network model, and modifying the SPPF module in the YOLO-v10n network model to an EASPF module; constructing a feature fusion network BiFPN, and passing the extracted features into the feature fusion network BiFPN; adding an adaptive MBAM attention mechanism module between the backbone network and the feature fusion network BiFPN; inputting the PCB data set into the improved YOLO-v10n network model for pre-training to obtain the optimal weight; detecting the image to be detected according to the optimal weight, evaluating the detection result, and realizing the detection of PCB defects; by constructing and improving the YOLO-v10n network model, the accuracy of PCB defect detection is improved and the missed detection rate is reduced.

The invention relates to the technical field of carbon dioxide geological sequestration, and discloses a carbon dioxide geological sequestration quantity grading and evaluating method, system and device and a medium. A carbon dioxide sequestration efficiency coefficient influenced by process technical conditions and a carbon dioxide sequestration economic efficiency coefficient influenced by policies, laws and regulations and economic conditions are considered, and progressive carbon dioxide sequestration quantity evaluation is performed on a to-be-evaluated region, so that the geological carbon dioxide sequestration quantity can be evaluated more objectively and systematically; the evaluation precision of the geological storage amount of carbon dioxide is greatly improved, and effective and reliable data guidance is provided for development of geological storage work of carbon dioxide.

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 present invention discloses a method and system for evaluating the quality of service in public places based on multimodal fusion, and relates to the technical field of multimodal fusion. The method for evaluating the quality of service includes obtaining sound information in a service window environment and voice information of a customer and a service personnel; processing the sound information to obtain sound events in the sound information; processing the voice information to obtain words related to the quality of service in the voice information and words related to the quality of service in text information; the text information is information obtained after the voice information is converted into text; the sound events in the sound information, the words related to the quality of service in the processed voice information, and the words related to the quality of service in the text information are integrated to obtain a service quality grade. The present invention integrates the sound information, voice information, and text information to evaluate the service quality, thereby achieving the comprehensiveness and objectivity of the service quality evaluation.

The invention relates to a fully-mechanized excavation face dust fall effect evaluation method, and belongs to the technical field of coal mine operation. The method comprises the following steps: selecting a range 50m from the head of a fully-mechanized excavation face, and dividing the fully-mechanized excavation face into three areas according to a dust concentration rule: an area I with the dust concentration higher than 200mg / m < 3 >, and the length of the area I being l1; the dust concentration of the region II is 50-200mg / m < 3 >, and the length of the region II is 12; the dust concentration of the region III is lower than 50mg / m < 3 >, and the length of the region III is 13. The dust control effect of the fully-mechanized excavation face can be evaluated by establishing the evaluation relation between the dust control and removal effect and the regional distribution and the dust fall concentration. Therefore, monitoring and improvement of dust control measures of the fully-mechanized excavation face are facilitated, and cleanliness and safety of the working environment are improved.

The embodiment of the invention relates to the technical field of vehicle testing, and discloses a driving shaft starting and reversing abnormal sound testing method and system, and the method comprises the steps: determining a rack torque load and a loading frequency threshold value based on the load spectrum data of a driving shaft assembly of a real vehicle road test; a hub and a driving shaft assembly are installed through the test bench; wherein the driving shaft assembly is connected with the wheel hub, and the wheel hub and the driving shaft assembly are respectively connected with the test bed; loading torque to the hub according to the rack torque load, recording the actual loading times of the torque, and collecting sound generated at the joint of the hub and the driving shaft assembly; and if the actual torque loading times when the decibel of the sound is larger than the preset threshold value is smaller than the loading time threshold value, it is determined that the starting and reversing abnormal sound performance of the driving shaft assembly is unqualified. According to the technical scheme, whether the abnormal sound performance of the driving shaft assembly is qualified or not can be visually determined, and the abnormal sound problem can be found in the initial stage of design.

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 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 present invention belongs to the field of engineering risk assessment. The present invention provides a method and system for evaluating power distribution network engineering based on a distributed file system, which obtains relevant data; pre-processes the acquired relevant data, uses a distributed file system to store the differentially removed relevant data in a distributed manner, and performs secondary processing of the corresponding data in a distributed manner to form a data set; extracts feature information from the data set, and uses a pre-trained decision tree model to predict the transaction risk level under different feature information; constructs a curve chart or benefit map based on the feature information and prediction results of the decision tree model. The present invention can accurately evaluate the investment benefits of power distribution network engineering by conducting comprehensive data collection and analysis on investment projects, combined with economic indicators and risk assessment, and provide scientific basis for decision makers, and conduct real-time monitoring and adjustment to improve the efficiency and results of the project.

The invention discloses a Chinese language and literature handwritten calligraphy style automatic identification and scoring system and method, and relates to the technical field of image data processing, and the system comprises a standard template construction module which is used for constructing a template containing all typical Chinese language and literature handwritten calligraphy style samples; the feature extraction module comprises an acquisition unit and a feature extraction unit, the acquisition unit is used for acquiring handwritten Chinese character pictures, and the feature extraction unit is used for extracting feature information from the handwritten Chinese character pictures; the feature information extracted by the feature extraction unit comprises macroscopic level features, mesoscopic level features and microscopic level features of handwritten Chinese character pictures; by constructing the standard templates containing the typical calligraphy styles in the past, the templates not only contain the visual features of the calligraphy works, but also contain the style features, so that the templates can evaluate the calligraphy works more objectively, and the dependence on the personal experience of calligraphy experts is reduced.

The invention relates to a thin film curling technology, and discloses a thin film curling evaluation method, a thin film curling evaluation device and a polyvinyl alcohol thin film. The curl evaluation method comprises the following steps: soaking a film sample in a test solvent, and determining a curl time coefficient A, a curl direction coefficient B and a curl swelling rate coefficient C of the film sample in the test solvent; the curling coefficient omega of the thin film in the test solvent is calculated through the curling time coefficient A, the curling direction coefficient B and the curling swelling rate coefficient C, and the curling degree of the thin film is evaluated through the curling coefficient omega. According to the evaluation method, the curling degree of the film is quantified by using the curling coefficient, evaluation is more objective and accurate, the processing technology can be guided, the curling degree of the film can be reduced, and flaws such as wrinkles, creases and bubbles of subsequent products can be reduced.

The invention belongs to the technical field of medicine detection, and particularly relates to a high performance liquid chromatography method for simultaneously detecting methyl p-toluenesulfonate and ethyl p-toluenesulfonate in an upatinib bulk drug. According to the high performance liquid chromatography method for simultaneously detecting methyl p-toluenesulfonate and ethyl p-toluenesulfonate in the upatinib bulk drug, high performance liquid chromatography is adopted for detection, and the chromatographic conditions are as follows: octadecylsilane chemically bonded silica serves as a filler of a chromatographic column, the detection wavelength is 220-230 nm, the column temperature is 33-37 DEG C, the detection time is 20-30 min, and the detection time is 30-50 min. And carrying out isocratic elution by taking an acetonitrile-phosphoric acid buffer solution system as a mobile phase. The invention provides a high performance liquid chromatography method for simultaneously detecting methyl p-toluenesulfonate and ethyl p-toluenesulfonate in the upatinib bulk drug, which is simple, convenient, rapid, high in specificity, high in sensitivity and good in separation degree, and improves the drug safety.

The present application belongs to the field of petroleum geology, and particularly relates to a method for evaluating oil and gas maturity in a fluid inclusion by using infrared spectrum. First, a fluid inclusion slice prepared from a stratum rock sample in a sedimentary basin is obtained; a filling sequence of diagenetic minerals in the stratum rock is determined; different occurrences of oil and gas are judged by petrographic characteristics under a microscope and fluorescence spectrum characteristics of the rock slice; infrared spectrum testing is performed on the oil and gas inclusions with different occurrences, and infrared spectrum characteristics of inclusions in different stages are obtained; a required spectrum range peak area is extracted from a spectrum diagram and brought into a formula; and an effective parameter for evaluating oil and gas maturity in the inclusions is obtained by using the formula and is sorted. The instrument used in the present application eliminates the requirement and limitation of traditional infrared spectrum on the size of the inclusions, and can measure and evaluate most oil and gas inclusions with smaller size.

The invention discloses a cold-resistant camellia fragrant flower excellent clonal breeding method, and belongs to the technical field of plant breeding. The method comprises the following technical steps: (1) seed selection and forest stand construction; (2) primary selection of excellent single plants; (3) high-quality single plant re-selection; (4) evaluating economic characters of the fruits; (5) evaluating cold resistance; and (6) final selection of excellent single plants. According to the method, the excellent clone of the cold-resistant camellia fragrant flower oil tea is bred after the third year of afforestation, the variety selection rate is high, and the breeding period is short. The method disclosed by the invention is simple to operate, reliable in result and capable of objectively, effectively and accurately breeding excellent single plants with excellent fruit economic characters and strong cold resistance, and has very good reference and application values for variety breeding of camellia oleifera and improvement of breeding efficiency.

The present invention provides a task allocation method, device, equipment and product, which relates to the field of task processing technology. The method comprises the following steps: obtaining evaluation parameters of personnel to be assigned; inputting the evaluation parameters into a task allocation model to obtain evaluation parameters output by the task allocation model; wherein the evaluation parameters include a comprehensive evaluation value of the personnel to be assigned, a first time-consuming evaluation value and a first number evaluation value, the first time-consuming evaluation value is the time-consuming evaluation value of the task completed at that time, the first number evaluation value is the number evaluation value of the task completed at that time, the timeliness value is inversely proportional to the actual operation time, and the accuracy value is inversely proportional to the number of cycles; based on the evaluation parameters, tasks are allocated. The present invention can allocate tasks to business personnel with high completion quality and fast completion speed, avoiding the backlog of tasks and the task processing quality not meeting the requirements.

The utility model discloses a kind of essence and incense product diffusivity evaluation devices, comprising: essence or incense product storage container, essence or incense product storage container upper bottle mouth is connected with fragrance diffusion pipe;Fragrance diffusion pipe is perpendicular to ground, multiple smell noses are vertically arranged on fragrance diffusion pipe along central axis, and sealing cover is arranged at the outlet of multiple smell noses;The top of the end of fragrance diffusion pipe away from essence or incense product storage container is equipped with top end fan, and the air outlet direction of top end fan is perpendicular to fragrance diffusion pipe;Fragrance diffusion pipe is equipped with timer on one side;The utility model can quickly, objectively evaluate the diffusivity of essence and incense product, can better judge the spatial performance of essence and incense product in limited space, help perfumer and product developer quickly, intuitively, objectively evaluate the diffusivity of product, guide the modification of essence and finished product.

The invention relates to a transformer area synchronous line loss management method based on marketing, distribution and dispatching connection. The method comprises the following steps: step 1, constructing a transformer area synchronous line loss calculation model; step 2, constructing a transformer area synchronous line loss index evaluation system; step 3, processing line loss abnormity affecting the distribution transformer area; 4, treating the abnormal line loss data of the transformer area; 5, marketing, distribution and dispatching connection and station area synchronous line loss lean management are achieved; the method has the advantages that data homologous management is ensured, line loss evaluation is accurate, abnormal data is processed, and lean management is realized.

The present invention relates to the technical field of tunnel seismic performance monitoring, and specifically to an online monitoring system for tunnel seismic performance based on tunnel support components, comprising: a monitoring component, a local processor, a data black box and a data center. The monitoring component is used to be arranged on the tunnel support component, and the monitoring component is electrically connected to the local processor. The monitoring component includes: at least one of a force monitoring sensor, a deformation monitoring sensor, a displacement monitoring sensor and a vibration monitoring sensor. The local processor is electrically connected to the data black box, and the local processor is used to copy the original monitoring data of the monitoring component to obtain copied data. The local processor is also used to save the original monitoring data to the data black box and send the copied data to the data center. The data black box only opens the incremental write permission of the local processor. It can realize real-time online monitoring of the actual seismic performance of the tunnel, ensure the integrity and stability of data acquisition, and realize the data reproducibility.

The invention belongs to the technical field of teaching experiment devices, and particularly relates to an advanced control algorithm experiment device for a variable pitch system of a wind generating set, which comprises a 2-meter-high wind generating set and a variable pitch system control algorithm device, and is characterized in that the 2-meter-high wind generating set consists of a tower, a wind indicator, an anemometer, a cabin, a rotor blade and a hub; a brake mechanism, a low-speed shaft, a gearbox, a variable-pitch system, a high-speed shaft and a generator are arranged in the cabin. The problems that an existing wind turbine generator master control and variable pitch controller is high in cost, and an advanced control algorithm is difficult to achieve are solved. Data acquisition and algorithm writing are realized through the sensor board, the industrial control all-in-one machine and other parts, variable pitch control, program correction and automatic scoring can be demonstrated, students can master the operation process and advanced control algorithm of the wind turbine generator, the teaching cost is reduced, and the teaching effect and the innovation ability of the students are improved.

The present invention provides a method for grading the danger of submarine pipeline scour disasters and obtaining operation and maintenance time, which belongs to the field of submarine pipeline operation and maintenance technology; collects index data and stratifies them according to the formulated index system; performs index correlation and sensitivity analysis to determine important indicators; quantifies and assigns values ​​to indicators, and calculates index weights based on the analytic hierarchy process; performs disaster grading based on the submarine pipeline hazard assessment model; determines the operation and maintenance time of scour disasters based on the scour development model; collects on-site data of the project to be evaluated, the minimum bending radius, and the critical span length under scour action, and outputs the safe operation and maintenance time of the submarine pipeline based on three types of standards. The invention clarifies the main influencing factors and their weights of submarine scour disasters, and realizes the quantitative grading of submarine pipeline scour disasters; at the same time, it realizes the grading of the degree of operation and maintenance of submarine pipeline scour disasters in different sea areas, and provides guidance on whether operation and maintenance is needed and how many levels of operation and maintenance are needed.

An application of a composition in preparation of a drug for diagnosing infantile hemangioma (IH) and / or monitoring progress and prognosis thereof, and a test kit comprising the composition and instructions. The composition comprises at least one of the following four groups of substances: (1) at least one of a total fatty acid or a total saturated fatty acid or a total mono-unsaturated fatty acid or a specific fatty acid; (2) at least one of specific metabolites; (3) at least one of specific proteins; and (4) at least one of specific lipid subclass substances or lipid molecules. The application and the kit can realize early warning / prediction and early diagnosis of the IH, close monitoring of disease progress, objective evaluation of a treatment effect of the drug, and accurate reflection of prognosis. A drug for treating the IH comprises a substance regulating expression selected from the group consisting of LDHB, KRT1, BCHE, CFHR4, CPQ, APOC-3, ARHGDIB, and LAMAS, thereby providing a new effective way for treatment of the IH.

The present application belongs to the technical field of geological exploration and development, and provides a method and device for characterizing core dispersion velocity, a storage medium and an electronic device. The method can obtain a gas analysis data curve representing the relationship between each sampling time and the corresponding cumulative analysis gas volume by curve fitting of the metering data of the gas analysis test of each target position of the core sample, and then determine the initial dispersion velocity and the average dispersion velocity of the current target position based on the gas analysis data curve and the mass of the core sample. The initial dispersion velocity and the average dispersion velocity can truly reflect the shale reservoir condition, and the shale reservoir can be accurately evaluated.

The invention belongs to the technical field of three-dimensional uranium mine geological resource prediction research, and particularly relates to a granite type uranium mine prediction method based on a digital model, which comprises the following steps: S1, constructing a three-dimensional digital geological model of a research area; s2, dividing prediction units, establishing a three-dimensional block model of a research area, and establishing an attribute model of each ore control element for metallogenic prediction; s3, according to the three-dimensional block model of the research area, uranium metallogenic favorable information is extracted; s4, statistical analysis and assignment are carried out on uranium metallogenic favorable information; s5, comprehensive metallogenic prediction is carried out through an evidence weight method and an information amount method; and S6, delineating a uranium metallogenic prospective area and estimating the resource quantity to realize three-dimensional quantitative prediction of the granite type uranium mine. The method can efficiently, quickly and objectively evaluate the uranium mineralization potential of a region.