88results about How to "Comprehensive evaluation" patented technology

The invention provides a method and a system for evaluating the layout suitability of a wind power plant from a macroscopic perspective, and belongs to the technical field of prediction or optimization specially suitable for administrative or management purposes. Firstly, natural geographic data and social economic data are collected and preprocessed; determining a wind power plant site selection alternative area according to the preprocessed natural geographic data and social economic data; determining a wind power plant suitability evaluation index system and a weight; the wind power plant suitability evaluation index system comprises natural geographic factors and social economic factors of the wind power plant layout; based on natural geographic factors and social economic factors of the wind power plant layout, site selection natural condition optimization and social economic condition optimization are carried out on the wind power plant site selection alternative area; and performing overlay analysis and reclassification on respective optimization results of the wind power plant site selection natural condition optimization and the social economic condition optimization to obtain a final wind power plant site selection suitability evaluation result. According to the scheme, the suitability of the wind power plant layout can be evaluated macroscopically.

The invention relates to the technical field of aluminum-based wiring terminal machining, in particular to a stamping control system and method for aluminum-based wiring terminal machining, and the method comprises the steps that a first stamping factor is determined based on the change conditions of machining data of all kinds of reconstructed terminals and the correlation of the change conditions of the machining data of different kinds of reconstructed terminals; and determining a second stamping factor based on the local distribution condition of the various reconstructed stamping force data, and determining a stamping non-uniform factor in the aluminum-based wiring terminal machining process at the current moment by combining the first stamping factor so as to determine the self-adaptive proportional gain at the current moment and control the stamping force in the aluminum-based wiring terminal machining process at the current moment. The invention aims to improve the yield of stamping processing of the aluminum-based wiring terminal and the utilization rate of raw materials.

The invention relates to the technical field of drug toxicity evaluation, in particular to an evaluation method for examining toxic and side effects of drugs through a biological organ model. The method comprises the following steps: pretreating a cell line, and carrying out mixed culture with a skeleton structure; connecting an organ model through a biochip; designing a micro-channel network to form a circulation simulation system, and adjusting micro-environment parameters; embedding a biosensor into the biological organ model, and collecting data; adding drugs with different concentrations, and evaluating according to data. According to the method, firstly, the liver, the kidney and the heart are constructed, then the three organ models are connected through the microfluidic technology, microenvironment factors such as micro blood vessels and lymphatic vessels are introduced into the connecting positions, finally, the biosensor technology is introduced, the cell state, metabolites and microenvironment parameters in all the organ models are monitored in real time, and the three organ models are obtained. Through the multi-dimensional biological organ model, the influence of the medicine on different organs can be evaluated more comprehensively.

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 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 driving behavior analysis and evaluation method. The method comprises the following steps: segmenting a vehicle travel according to a preset travel segmentation logic; obtaining multi-source data generated by the vehicle in the current split journey, and performing fusion processing; a driving behavior analysis model corresponding to the current vehicle model is obtained, the driving behavior analysis model comprises a multi-dimensional calculation formula for driving behavior evaluation, the fused multi-source data is calculated, and scores of all dimensions and evaluation results of driving behaviors are obtained; and outputting the score of each dimension and the evaluation result of the driving behavior. The invention further provides a corresponding system. By implementing the method, the efficiency, comprehensiveness and accuracy of driving behavior analysis and evaluation can be improved, the cost is reduced, and the iteration speed is increased.

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 invention discloses a water pump-pressure control valve combined dispatching method for an urban water supply network. The method comprises the following steps: constructing a hydraulic model; based on the hydraulic model, the opening degree of a pressure control valve in the water supply system and the operation rotating speed and the operation lift of a water pump serve as decision variables, water saving cost, water pump energy consumption saving cost and pipe network leakage control effect maximization serve as targets, and a water pump-pressure control target function is built; and setting a constraint based on a water demand in the water supply system, solving the water pump-pressure control objective function, and evaluating a solving result to output an optimal scheduling scheme. The invention further provides a water pump-pressure control valve combined dispatching device. The method provided by the invention can provide a scientific, reasonable and effective evaluation basis for the optimal scheduling of the water pump-pressure control valve of the municipal water supply network.

The invention discloses an AI accelerator card performance evaluation method and device based on a domestic platform and a medium, and belongs to the technical field of artificial intelligence hardware evaluation. The technical problems that in the prior art, the AI acceleration card testing process is complex, testing environment building is tedious, and testing models and parameters are not uniform, so that the performance of all acceleration cards cannot be effectively and transversely compared are solved. The adopted technical scheme comprises the steps that system initialization and information collection are conducted; basic information of the AI accelerator card is obtained through AI accelerator card interface parameters or user input, and the basic information is stored in an AI accelerator card performance database; the collected information comprises an AI accelerator card working state, health information, power consumption, a memory occupancy rate, an accelerator card occupancy rate, temperature and power consumption; setting a test mode and parameters; executing an automatic test; data collection and statistical analysis; processing errors and feeding back; and generating a test report.

The invention relates to a soil health quantitative evaluation method and system, and the method comprises the steps: sampling a to-be-evaluated region according to a preset soil index, and obtaining index data; screening the soil indexes through a principal component analysis method, and establishing an evaluation system based on the screened soil indexes; according to the index data, linear scores of soil indexes included in the evaluation system are calculated respectively; according to the plurality of linear scores, calculating to obtain a soil health index of the to-be-evaluated region; and performing soil health evaluation on the to-be-evaluated region according to the soil health index to obtain a soil health level of the to-be-evaluated region. According to the method, the soil health can be comprehensively evaluated, the soil health conditions of different areas or different treatments are compared, and the accuracy of the evaluation result of the soil health is improved.

The invention discloses a street riding safety evaluation method based on VR visual perception and physiological signals, and relates to the technical field of large model construction. The objective of the invention is to solve the technical problem that the safety perception of a rider in a dynamic riding process is difficult to comprehensively reflect due to the lack of the combination of subjective and objective feelings of the rider in the evaluation of the street riding safety feeling in the prior art. According to the technical scheme provided by the invention, the street riding safety evaluation method based on VR visual perception and physiological signals comprises the following steps: acquiring a video of a riding road section; a step of preprocessing the video of the riding road section; a step of displaying the preprocessed video of the riding road section to a user through VR equipment; collecting physiological signals of a user; and evaluating the safety of the riding road section according to the physiological signal of the user. The method is suitable for street riding safety evaluation work.

The invention relates to a hospital functional department performance assessment system and an implementation method, assessed functional department subjects including hospital leaders, functional departments at the same level and clinical departments are evaluated in multiple dimensions based on a 360-degree assessment method, the influence of factors in multiple aspects on assessment objects is comprehensively considered, the comprehensive quality of assessed objects is displayed in an omnibearing and three-dimensional mode, and the assessment efficiency is improved. According to the system, assessment blind spots are effectively avoided, assessment indexes are objective and customized continuously through quantized assessment indexes, the system can comprehensively and objectively evaluate the performance of functional departments, and the management efficiency and service quality of hospitals are improved.

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 invention belongs to the technical field of pharmaceutical analysis. The invention provides a method for determining the high performance liquid chromatography characteristic chromatogram of Chinese hawthorn seed, which comprises the following steps: crushing and sieving a Chinese hawthorn seed sample, adding an ethanol solution for extraction, then carrying out post-treatment, evaporating the supernatant to dryness, dissolving the residue with the ethanol solution, and filtering to obtain a Chinese hawthorn seed sample solution to be determined; dissolving vanillin with methanol to obtain a reference substance solution to be detected; and determining the to-be-detected solution of the hawthorn seed sample and the to-be-detected reference substance solution by adopting high performance liquid chromatography, and obtaining the high performance liquid chromatography characteristic spectrum of the hawthorn seeds according to the chromatogram. According to methodology verification, the method for measuring the hawthorn seed high performance liquid chromatography characteristic chromatogram is good in durability, high in specificity, good in precision, repeatability and stability, simple and convenient to operate and low in cost.

The invention discloses a method for determining a uniform extension strain limit diagram of a thin plate, comprising pre-test processing, sample loading, strain identification point positioning, strain identification point strain output, strain-time curve drawing, non-uniform deformation critical moment determination, equivalent plastic strain calculation, true strain ratio fitting, uniform extension strain limit diagram drawing, repeating the steps to obtain (r, ε) of the remaining samples. eq ) and plotted in the FLD diagram; at the same time, the (r, ε eq ) take the average value (r, ε eq ) avg Plotted in the FLD diagram and connected. It conforms to the physical meaning of uniform and non-uniform deformation, rather than relying on experience or phenomenology to approximate, and more accurately characterizes the material properties; this method can evaluate the uniform deformation of the material including the strain path from the (-0.5,1) strain ratio, and the evaluation is more comprehensive, which can reflect the uniform deformation capabilities of different materials under different strain paths.

The invention discloses a comprehensive method for analyzing compressibility of a shale reservoir based on machine learning, and relates to the technical field of oil and gas field development, the comprehensive method for analyzing compressibility of the shale reservoir based on machine learning mainly comprises the following steps: obtaining a training data set according to core experiment data and corresponding logging data; constructing a three-parameter prediction model by using a random forest regression model; training the three-parameter prediction model by using the training data set to obtain a trained three-parameter prediction model, and predicting the to-be-predicted logging data to obtain three parameters; and calculating a compressibility coefficient based on the three parameters so as to obtain compressibility classification evaluation of the shale reservoir in the research area. By implementing the comprehensive method for analyzing the compressibility of the shale reservoir based on machine learning provided by the invention, the compressibility of the shale reservoir can be efficiently, accurately and universally evaluated.

The invention discloses a combination strategy backtest method and device, a storage medium and a computer program product, and relates to the technical field of data processing, and the method comprises the steps: obtaining a combination backtest instruction and a depth backtest report generation instruction sent by a client; calling an initial fund product combination and an initial transfer record according to the combination back test instruction; inputting the initial fund product combination and the initial transfer record into a combination back-testing module constructed based on a back-testing tree structure for calculation to obtain a daily position holding result and a daily income result; and generating a deep backtest report based on the daily position holding result, the daily income result and the deep backtest report generation instruction. And the asset configuration module improves the accuracy and practicability of a back test result. The combination back-testing module has rich back-testing logics, generates a deep back-testing report of multi-dimensional analysis in combination with a daily position holding result and a daily income result, and evaluates a financial product combination strategy more comprehensively.

The invention provides a light field image quality evaluation method based on a visual language model. According to the method, multi-dimensional comprehensive evaluation of a light field image is realized through the following steps of: (a) evaluating the definition, brightness, angle consistency and the like of the light field image through antonym prompt pairing by utilizing a text prompt function of a visual language model; (b) removing fixed position embedding of a visual language model image encoder so as to improve the adaptability of the model to light field images with different space and angle resolutions; (c) finely adjusting the antonym prompt pair by using a context optimization technology to adapt to the multi-view characteristic of the light field image, and keeping the network weight of the visual language model unchanged; and (d) comprehensively evaluating the light field image based on multi-dimensional evaluation indexes such as brightness, color and angle consistency, and generating an overall quality score. The method can be used for efficient coding, transmission, rendering and other light field image processing scenes, and a new solution is provided for light field image quality evaluation.

The invention provides a flowing water-containing formation fracture plugging simulation device and method.The device comprises a flow channel module, a flow guide module and a fracture simulation module which are sequentially arranged in the water flow direction, flowing water firstly enters the flow channel module and is guided into the fracture simulation module through the flow guide module in the flow channel module, and the flowing water flows into the fracture simulation module through the flow guide module; after the crack simulation module is filled with the flowing water flow and the flowing water flow flows at the set flow speed and the flow speed is stable, plugging slurry is injected into the crack simulation module, so that the crack is plugged under the condition that the crack simulation module contains the flowing water. According to the device and the method, the leakage of the large-size aperture stratum under the condition of containing flowing water can be simulated, and the retention and plugging effects of the plugging slurry in a water-containing leakage channel can be visually analyzed and evaluated.

The embodiment of the invention relates to the technical field of automatic driving, and discloses a roadside sensing data dynamic evaluation method and device, a medium and a product. According to the networked vehicle i d, the starting time, the ending time and the data source type, obtaining the original data of the networked vehicle in the corresponding time period; acquiring roadside sensing data based on the fusion geographic partition and the cloud fusion data corresponding to the running path of the network-connected vehicle; and carrying out time alignment and association on the network connection vehicle original data and the roadside sensing data, and calculating to obtain a roadside sensing data error. Through the whole hundred millisecond alignment technology, the time error is obviously reduced, the timestamps of the original data and the sensing data of the networked vehicle are more consistent, and the high-precision synchronization ensures the reliability and the accuracy of the data. By supporting multiple data sources such as Kafka and HBase, the system can flexibly cope with real-time and historical data requirements. The technical problem that the dynamic evaluation accuracy of the roadside sensing data is insufficient can be at least solved.

The application discloses a kind of wet friction plate oil tank heat dissipation capacity evaluation method, the method is: step 1, determine the oil tank simulation scheme of m kinds of friction plate;Step 2, in the flow field analysis software, respectively build the friction plate oil tank flow field analysis model corresponding to m kinds of oil tank simulation scheme;Step 3, by changing the heat dissipation rotation speed, cooling flow, obtain the heat dissipation power and oil film shear torque of the oil tank inner surface of the friction plate surface in n kinds of typical heat dissipation rotation speed, p kind of typical cooling flow in m kinds of oil tank simulation scheme, and calculate the heat dissipation coefficient of the friction plate oil tank in the i kind of oil tank simulation scheme;Step 4, compare the oil tank heat dissipation coefficient calculated from m kinds of oil tank simulation scheme, the greatest numerical value of oil tank heat dissipation coefficient is the oil tank simulation scheme with optimal comprehensive heat dissipation performance;The application can meet the design requirement of the fine design of friction plate heat dissipation.

The invention discloses a method for rapidly breeding a new variety of medicinal locust tree, which comprises the following steps: (1) collecting locust tree branches in different regions, grafting in the same region, and keeping the stock age and the later-period management measure consistent; (2) performing continuous regular monitoring, adaptive observation and botanical shape continuous observation after grafting survival; (3) according to monitoring and observation results of 3-5 years, excellent plants with fast growth vigor, strong resistance and obvious biological characters are screened out; (4) determining the rutin content in the sophora flowers of the screened plants, and screening out the plants with high rutin content; and (5) detecting the expression levels of rutin synthesis related genes and degradation genes in the sophora flower buds of the screened plants, and finally determining the sophora flower buds with high synthetic gene expression quantity and low degradation gene expression quantity as excellent varieties. According to the method for rapidly breeding the new variety of the medicinal locust tree, evaluation is more comprehensive, excellent varieties can be screened out more easily, and the breeding time is greatly shortened.

The present invention relates to the technical field of axle balance test, and specifically discloses a trailer axle assembly test device and a test method thereof. The trailer axle assembly test device is applied to the dynamic balance test of the axle assembly, and comprises a trailer simulation compartment, a counterweight unit and a test sensor assembly. The transfer of the counterweight liquid between the first simulation compartment and the second simulation compartment is achieved by switching the postures of the first simulation compartment and the second simulation compartment in the counterweight unit. The simulation of the lateral center of gravity offset state and the longitudinal center of gravity offset state is achieved by the lateral deflection and longitudinal offset of the counterweight unit. The test sensor assembly is used to detect the dynamic balance parameters of the axle assembly under different simulation states, thereby effectively improving the dynamic balance test accuracy of the trailer axle assembly, and facilitating a comprehensive evaluation of the performance and safety of the axle assembly under different working conditions.

The present invention belongs to the technical field of rock fracture mechanics in petroleum engineering, and provides an indoor experimental method for determining the degree of mechanical anisotropy of formation rock, including step S01: drilling a full-diameter core from the research target formation or selecting a full-diameter core at a corresponding formation position from a core library, and preparing three mutually perpendicular standard rock samples on each full-diameter core; step S02: conducting longitudinal and transverse wave velocity tests on the prepared standard rock samples, and calculating the dynamic elastic parameters of the rock; step S03: conducting a uniaxial compression test on the prepared standard rock samples, and calculating the compressive strength and static elastic parameters of the rock; step S04: using a discrete coefficient calculation model to calculate the degree of mechanical anisotropy of formation rock. The present invention can study the difference in the degree of mechanical anisotropy of rocks at different formation depths, provide a test and calculation method for determining the degree of mechanical anisotropy of formation rock, and further provide a reference for hydraulic fracturing design and drilling design of formations, which has important theoretical and engineering research significance.

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 invention relates to the technical field of display performance evaluation, and provides an AMOLED display performance comprehensive evaluation method based on multi-standard decision analysis, and the method comprises the steps: constructing a display performance evaluation index system; preprocessing the data, and standardizing the preprocessed data; according to the importance and contribution degree of the index, determining the weight of the index by adopting an analytic hierarchy process; constructing a total utility function by using a multi-attribute utility theory, and obtaining the total utility function of the overall display performance of the AMOLED product; constructing a similarity quantitative analysis model by using the standardized index data, and obtaining the similarity between the product display performance and the optimal product by using the similarity quantitative analysis model; and combining the total utility function with the similarity to obtain a comprehensive evaluation score of the product performance. The AMOLED display performance evaluation method solves the problems that an existing evaluation method is not high in adaptability and poor in flexibility, and comprehensive, objective and accurate evaluation on the AMOLED display performance is achieved.

The invention discloses an electroencephalogram signal-based method for evaluating attention of wine products after drinking. The method comprises the following steps of: determining a plurality of testees under the same condition and different types of to-be-evaluated wine samples; collecting behavior data and electroencephalogram data when each testee executes the Stroop color word task before and after drinking the Baijiu sample; the behavior data and the electroencephalogram data of all the subjects are subjected to statistical analysis, the expression in the Stroop task before and after drinking and the change of the electroencephalogram signals are compared, and the potential influence of the wine products on the attention of the subjects is evaluated. According to the method, the electroencephalogram signals and the behavior data are combined, so that evaluation on the attention of the wine products after drinking is more comprehensive, and physiological and behavior changes can be reflected at the same time. In addition, through the electroencephalogram technology, the electroencephalogram activity of the subject can be monitored in real time, the instantaneous change of attention can be captured in time, and a more dynamic analysis result is provided.

The invention discloses a ship power system stability real-time evaluation system, which comprises a data acquisition module, a preprocessing module, an evaluation model module, an early warning module and a display and storage module which are connected in sequence, and is characterized in that the data acquisition module is composed of a distributed sensor array and a synchronous acquisition unit; the invention further discloses a real-time evaluation method. According to the method, by collecting multi-dimensional data in real time and constructing the dynamic evaluation model, real-time comprehensive evaluation of the stability of the ship power system and early warning of system instability are achieved. Compared with the prior art, the method has the advantages of high real-time performance, comprehensive evaluation, excellent adaptive capability, early warning and control linkage, data traceability and the like.

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.