22results about How to "Shorten the evaluation cycle" patented technology

The invention discloses a contract evaluation method, system and device based on a large model and a medium, and the method comprises the steps: obtaining a target contract, carrying out the data preprocessing, obtaining the preprocessed contract data, and inputting the preprocessed contract data into a preset contract large language model; the preset contract large language model stores a vector knowledge base including coastal bulk cargo transportation knowledge, legal clauses and industry regulations; in a preset contract big language model, performing contract classification and contract summary extraction on the current preprocessed contract data by using a first model agent to obtain contract summary information; performing contract risk assessment on the current preprocessed contract data to obtain risk assessment information and / or risk avoidance suggestion information; performing benefit measurement and calculation on the current preprocessed contract by using a third model agent to obtain benefit measurement and calculation information; according to the method, the examination and evaluation of the large model in the coastal bulk cargo transportation contract are realized, and the purposes of saving the labor cost and improving the business turnover rate are achieved.

The invention discloses a GIS field-electricity fusion real-time state sensing and early warning system and method. The system comprises a signal synchronous acquisition and measurement embedded device and an industrial personal computer, and a simulator, a position searcher and an early warning device are deployed in the industrial personal computer; when the embedded device monitors that the electromagnetic field signal in the GIS contains the partial discharge signal according to the strong correlation characteristics, obtaining a full time domain oscillogram containing a time domain oscillogram and a frequency domain oscillogram of the partial discharge signal; the simulator performs coarse positioning on the partial discharge source based on the full time domain oscillogram of GIS partial discharge, and performs simulation enhancement calculation by taking a coarse positioning result as an initial injection point to obtain simulation enhancement data of the partial discharge source; the position searcher carries out iterative search on the actually measured discharge intensity obtained through calculation according to the full-time-domain oscillogram and the simulation enhancement result, and the actual discharge position of the partial discharge source is obtained; the early warning device carries out early warning based on the time domain full waveform and early warning information including the actual discharge position of the partial discharge source.

The invention relates to the technical field of data processing, and discloses an intelligent agent evaluation method and system, and the method comprises the steps: analyzing key factors and performance indexes of an intelligent agent in different combat environments, determining evaluation indexes, and constructing an evaluation index system; setting parameters and algorithms of the evaluation model, and configuring an association relationship between the evaluation model and the evaluation index system; gaming deduction data and agent decision data are collected, and evaluation calculation data are generated and stored; in response to the evaluation calculation data, configuring evaluation calculation parameters, calling the evaluation model to calculate the evaluation calculation data, and recording an evaluation calculation result; and in response to the evaluation calculation result, generating an evaluation report framework, integrating the evaluation calculation data and the corresponding evaluation calculation result into the evaluation report framework in a visual form, and outputting an evaluation report. According to the invention, standardization and systematization of the evaluation process are realized, scientificity and accuracy of evaluation are improved, and efficiency and accuracy of data processing are improved.

The invention provides an application layer capability assessment method, device and equipment of an Internet of Things satellite communication system, and relates to the technical field of Internet of Things satellites, and the method comprises the steps: transmitting an uplink instruction to a ground terminal in the Internet of Things satellite communication system; the uplink instruction is used for instructing the ground terminal to send uplink data to an on-orbit communication satellite when the on-orbit communication satellite in the Internet of Things satellite communication system passes; acquiring downlink broadcast data issued by the on-orbit communication satellite; and determining an application layer capability evaluation result of the Internet of Things satellite communication system based on the downlink broadcast data, the uplink data and the monitoring data corresponding to the ground terminal. The technical scheme of the invention does not depend on X-band earth station receiving data, but evaluates the application layer capability of the Internet of Things satellite communication system based on the uplink data sent by the ground terminal to the in-orbit communication satellite, the downlink broadcast data issued by the in-orbit communication satellite and the monitoring data corresponding to the ground terminal, so that the evaluation process is simplified, and the evaluation efficiency is improved. And the time cost is reduced.

The invention provides an LED die bonding glue material evaluation method and system and computer equipment, and the method comprises the steps: dispensing multiple times of glue in a single support bowl cup to form a plurality of colloidal particles; standing part of the colloidal particles in a preset environment for preset observation time, observing and detecting forms and performances of the colloidal particles in different stages during standing, and recording corresponding data; judging whether the colloidal particles are preliminarily qualified or not based on the form change and the performance change of the colloidal particles; and if the chip is judged to be preliminarily qualified, carrying out die bonding operation on the chip through corresponding glue, detecting a die bonding condition through detection equipment, and evaluating whether the chip meets a preset requirement or not according to a detection result. According to the method and the device, the actual batched trial-production combat is simulated, and the risk problem points are exposed in advance, so that the glue material for die bonding is quickly screened, the material meeting the requirement is obtained, and the evaluation period is shortened.

The invention discloses a GIS electromagnetic field coarse simulation data enhancement method and system based on a differential fusion neural network, and a storage medium. The method comprises the steps of obtaining a GIS electromagnetic field coarse grid simulation data set; the GIS electromagnetic field coarse grid simulation data set is input into a difference deep learning network model, the difference deep learning network model comprises an enhancement network and a structural similarity network which are connected in sequence, and the enhancement network comprises a self-adjusting module and a difference convolution module; respectively calculating the coarse grid structure data and the coarse grid field intensity data by using a self-adjusting module and the differential convolution module to obtain fine grid enhanced grid structure features and fine grid enhanced field intensity features; matching the fine grid enhanced grid structure features and the fine grid enhanced field intensity features by using a structure similarity network, and calculating similarity features; calculating GIS fine grid enhanced data based on the similarity features; by adopting the method, the precision and the efficiency of GIS electromagnetic simulation can be considered at the same time.

The invention discloses an SRAF placement effect evaluation method and device, equipment and a medium, and relates to the technical field of layout correction, and the method comprises the steps: obtaining an SRAF placement rule file written by a user, and carrying out the analysis of the SRAF placement rule file, so as to recognize the position information, type information, quantity information and priority information of an SRAF graph in an integrated circuit layout, so as to obtain SRAF feature information; performing effect evaluation on the SRAF feature information by using a preset evaluation rule to obtain an effect evaluation result of each piece of information; and according to an effect evaluation result, outputting a defect problem currently existing in the SRAF placement rule file, and prompting a user to carry out design adjustment on an SRAF graph. The whole evaluation period is shortened, a basis can be provided for subsequent SRAF graphic design adjustment more quickly, and the speed of integrated circuit process development verification is effectively increased.

The invention discloses a rapid screening method for high-bait-efficiency character haliotis discus hannai. The rapid screening method for the high-bait-efficiency character haliotis discus hannai can be achieved through any one of a mode I and a mode II. Mode I) selecting 12-month-old haliotis discus hannai to perform constant-temperature single-individual breeding, performing hunger stress for 7 days, calculating the specific weight loss rate of each individual after the hunger stress for 7 days, and selecting 50% of individuals with relatively low specific weight loss rate as individuals with relatively high bait efficiency. And II) selecting 12-month-old haliotis discus hannai to carry out constant-temperature single-individual culture, carrying out starvation stress for 10 days, then recovering bait feeding to 28 days, recording the weight change condition of the haliotis discus hannai, calculating the weight gain of each individual in 14-28 days after the bait feeding is recovered, and taking 50% of individuals with higher weight gain as individuals with higher bait efficiency. According to the screening method provided by the invention, the haliotis discus hannai individuals with relatively high bait efficiency characters can be accurately and quickly obtained, the evaluation period is shortened, and the character evaluation cost is greatly reduced.

The invention discloses a GIS electromagnetic field distribution rapid high-precision simulation method, simulator, storage medium and system, and the method comprises the steps: carrying out the numerical solution of a three-dimensional simulation model of GIS equipment through a time domain finite difference algorithm or a finite element algorithm, and obtaining a GIS full-wave electromagnetic coarse mesh simulation result; the coarse grid simulation result comprises coarse grid structure data and coarse grid field intensity data; performing enhancement processing on the coarse grid simulation result by adopting an enhancement model to obtain enhanced fine grid data; according to the invention, rapid and high-precision GIS electromagnetic field distribution simulation can be realized.

The invention relates to the technical field of emergency drill evaluation, in particular to a chemical storage tank area fire emergency drill intelligent evaluation system and evaluation method.The multi-source monitoring terminal is arranged in a preset key area of a chemical storage tank area and used for collecting multi-dimensional sensing data of a drill site; the data transmission network is connected with the multi-source monitoring terminal and is used for transmitting the multi-dimensional sensing data in real time; and the background processing center is connected with the data transmission network and is used for receiving and processing the multi-dimensional sensing data. The effectiveness of fire extinguishing operation is quantitatively evaluated through an intelligent algorithm, accurate data support is provided, and the evaluation accuracy is improved; a detailed evaluation report is automatically generated, the evaluation period is greatly shortened, and the timeliness is improved; advantages and deficiencies of drilling are clearly pointed out, targeted improvement suggestions are provided, and emergency plan optimization is assisted; the thermal imaging technology penetrates through the smoke to monitor the temperature, and the dangerous area identification and fire behavior judgment capability is improved.

This invention relates to the field of image processing technology, and more particularly to a method and system for assessing the quality of prefabricated construction based on image processing. The method includes the following steps: after removing the EVA transport protective padding that came with the prefabricated construction components, a panoramic image of the component splicing surface is captured using an industrial camera to obtain an original image containing the natural adhesion marks of the padding; multi-scale edge enhancement processing is performed on the original image to extract the contour data of the adhesion marks, and the global flatness of the component splicing surface is calculated based on the deformation features of the contour data; an industrial camera is used in a ring array to capture images of the pre-reserved grouting holes in the components, and the grouting hole boundaries are extracted after contour sharpening processing of the images; the three-dimensional axis of the grouting holes is constructed by combining the reflective features of the inner sidewalls of the holes. This invention achieves accurate detection and standardized assessment of the quality of prefabricated components through multi-polarized light sources and ring camera imaging technology, ultimately improving the accuracy of construction quality assessment.

The present invention discloses a GIS electromagnetic field coarse simulation data enhancement method, system and storage medium based on differential fusion neural network, comprising obtaining a GIS electromagnetic field coarse grid simulation data set; inputting the GIS electromagnetic field coarse grid simulation data set into a differential deep learning network model, the differential deep learning network model comprising an enhancement network and a structural similarity network connected in sequence, the enhancement network comprising a self-adjusting module and a differential convolution module; using the self-adjusting module and the differential convolution module to calculate the coarse grid structure data and the coarse grid field strength data respectively, to obtain fine grid enhancement grid structure characteristics and fine grid enhancement field strength characteristics; using the structural similarity network to match the fine grid enhancement grid structure characteristics and the fine grid enhancement field strength characteristics, and calculating the similarity characteristics; based on the similarity characteristics, calculating the GIS fine grid enhancement data; the present invention can take into account both the accuracy and efficiency of GIS electromagnetic simulation.

This invention relates to the field of testing technology for large ship propulsion systems, specifically to a test method and system for assessing the wear reliability of large water-lubricated bearings. This invention ensures the similarity in lubrication and cooling performance among three pairs of friction pairs tested—material test blocks, scaled-down samples, and full-scale prototypes—in terms of test objects. When comparing and analyzing wear, the influence of relative sliding speed on wear is simplified by using a linear velocity cyclic test design with the same time span, thus simplifying the wear rate model of the water-lubricated bearing. Compared to solely relying on the durability cyclic test data of the full-scale prototype, the addition of scaled-down sample tests reduces the randomness of test data, and the use of the maximum average wear value as input to determine the wear model of the water-lubricated bearing improves the engineering reliability of the assessment method. This invention can shorten the testing and assessment cycle for the wear reliability of large water-lubricated bearings, save testing costs, and provide highly accurate assessment results.

The invention relates to the field of hydraulic engineering cost evaluation, in particular to a hydraulic engineering cost early-stage evaluation method, which comprises the steps of data acquisition and processing: collecting data related to hydraulic engineering cost from multiple channels by using a big data technology, including historical project data, market information and project quota, the data quality is improved by means of data cleaning and preprocessing; through index screening, the novel evaluation method can make full use of big data and artificial intelligence technologies, the acquisition and processing capability of evaluation data is improved, and thus the evaluation accuracy is improved; according to the novel evaluation method, the evaluation process is simplified, the evaluation efficiency is improved, and the evaluation period is shortened; the novel evaluation method can perform adaptive adjustment for hydraulic engineering projects of different types and different scales to meet actual requirements; the proposal and application of the novel evaluation method are helpful for promoting the innovative development of the water conservancy project cost evaluation industry.

The invention relates to the technical field of unmanned systems, and discloses an evaluation method and device of an unmanned system, computer equipment, a medium and a product, and the evaluation method of the unmanned system comprises the steps: responding to an evaluation request, and constructing an evaluation task; the evaluation request comprises an index tree identifier; querying a target index tree matched with the evaluation task from a plurality of index trees in a database according to the index tree identifier; the target index tree comprises a plurality of evaluation indexes used for executing the evaluation task and a logical relationship among the plurality of evaluation indexes; based on the multiple evaluation indexes and the logic relation, a behavior tree is created, each evaluation index corresponds to one sub-node, and the logic relation corresponds to the relation among the multiple sub-nodes; and processing the simulation test data by using the plurality of child nodes on the behavior tree to obtain a target evaluation result. The behavior tree is applied to evaluation of the unmanned system, the flexibility of the evaluation process is improved, and the evaluation efficiency is improved.

This invention discloses a method for assessing neutron irradiation embrittlement of metallic materials based on ion irradiation, comprising: S1, preparing hardness test specimens, tensile test specimens, and Charpy impact test specimens; S2, subjecting the hardness test specimens, tensile test specimens, and Charpy impact test specimens to neutron irradiation, and subjecting the hardness test specimens to heavy ion irradiation, determining the irradiation damage amount and irradiation damage rate; S3, calculating the first yield strength increment after neutron irradiation and the second yield strength increment after heavy ion irradiation; obtaining the third yield strength increment and the irradiation embrittlement transition temperature increment; S4, establishing a first relationship between the first yield strength increment and the neutron irradiation damage amount, a second relationship between the second yield strength increment and the heavy ion irradiation damage amount, and a third relationship between the third yield strength increment and the irradiation embrittlement transition temperature increment; S5, establishing an irradiation embrittlement correlation formula and calculating the irradiation embrittlement transition temperature increment value. This invention achieves accurate assessment of the irradiation embrittlement risk of metallic materials.

The invention discloses a hydrogen transmission pipeline steel crack accelerated propagation prediction method based on a multi-sample method, and belongs to the technical field of hydrogen energy infrastructure safety. According to the method, fatigue crack propagation testing is carried out in an inert environment and a high-pressure hydrogen environment through the multi-sample method, and a complete relation curve is obtained; hydrogen-induced crack propagation acceleration factors are calculated, and a multivariable coupling intelligent acceleration factor model is constructed; on-site dynamic monitoring data are integrated, and full-life-cycle dynamic prediction of full-size pipeline cracks from initiation to expansion is achieved; through typical load spectrum verification and incremental learning algorithm optimization model, the method overcomes the defects of long test period, high cost and limited precision of a traditional method, greatly improves the prediction precision compared with the traditional method, significantly reduces the test cost and evaluation period, adapts to complex working conditions, has a graded early warning function, and is suitable for large-scale popularization and application. And efficient and reliable technical support is provided for safety design, in-service evaluation and intelligent operation and maintenance of the hydrogen conveying pipeline.

The utility model discloses a bacterial erosion device for evaluating the effectiveness of a concrete antibacterial agent, which is characterized in that the top end of a main body container is an open end, an inner cover body is detachably connected to the open end of the main body container, the bottom surface of the inner cover body is detachably connected with two hanging clamps, and a concrete test piece is arranged between the two hanging clamps; a bacterial solution is arranged in the main body container, the bottom end of the concrete test piece is arranged in the bacterial solution, the outer cover body comprises a main cover body, a neck bush and a filtering membrane, the main cover body is a circular cover body, the neck bush is coaxially arranged in the main cover body, and an air cavity is defined by the inner wall of the neck bush and the inner wall of the top of the main cover body; a plurality of air holes are formed in the inner cover body in the thickness direction of the inner cover body, the bottom of the air cavity is communicated with the interior of the main body container through the air holes, a center hole is formed in the top of the main cover body in the thickness direction of the main cover body, a filtering membrane is arranged in the center hole, and the top of the air cavity is communicated with the outside through the filtering membrane.

The invention relates to the technical field of sensor detection, in particular to a method for detecting the sensitivity of a capacitive flexible tactile sensor, which can comprehensively and accurately evaluate the sensitivity of the capacitive flexible tactile sensor under a specific working condition. The method comprises the following steps: acquiring sensor structure design data information and sensor application conditions of a capacitive flexible touch sensor to be detected; performing key parameter pickup on the sensor structure design data information by using a pre-trained structure parameter pickup model to obtain a sensitive performance structure parameter set; the sensitivity performance structure parameter set comprises all structure parameters influencing the sensitivity of the sensor; inputting the sensitivity performance structure parameter set into a sensitivity performance analysis model to obtain a sensor sensitivity performance index in a preset state; considering the application working condition of the sensor, and determining the sensitivity performance requirement of the sensor under the application working condition; and acquiring field environment state information corresponding to the application working condition according to the sensor application working condition.

The present application relates to the technical field of reliability engineering, failure prediction and health management, and provides an electronic product residual service life prediction method, device, equipment, medium and product, the method comprising: regarding the performance degradation index of the electronic product to be measured as a random variable changing with time, a generalized parameterized performance degradation model is constructed; the initial prior distribution of the model parameters in the generalized parameterized performance degradation model is obtained; the performance degradation data sequence of the electronic product to be measured is collected as a small sample early observation truncated data set; the initial prior distribution is updated based on the Bayesian inference algorithm and the small sample early observation truncated data set to obtain the posterior distribution of the model parameters; and the residual service life of the electronic product to be measured is predicted based on the posterior distribution of the model parameters. The present application proposes a new degradation life prediction approach that replaces "time accumulation" with "parameter identification", which can greatly shorten the test time.

The present application relates to a kind of highway photovoltaic power generation potential evaluation method and device based on unmanned aerial vehicle, method includes: by unmanned aerial vehicle, obtain highway along high-resolution multispectral image, laser point cloud and meteorological observation data;Data is automatically preprocessed and fused to generate feature dataset containing terrain, ground cover and weather information;Based on the dataset, the key factor that influences photovoltaic power generation is analyzed and quantified, and a standardized factor vector is formed;The factor vector is input into the prediction model constructed by the fusion of analytic hierarchy process and neural network, and the photovoltaic power generation potential of each evaluation unit and the whole road is calculated, and a visual evaluation report is automatically generated.The method effectively overcomes the problems of insufficient accuracy of traditional satellite remote sensing and low efficiency of manual survey, realizes efficient, accurate and comprehensive automatic evaluation of highway photovoltaic resources, and provides a reliable basis for photovoltaic project planning and decision-making.

The invention provides a dynamic credit assessment method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the behavior data of a user in corresponding multiple dimensions from a multi-dimensional data source end which affects the credit of the user in a recent preset time period in real time, carrying out the exception processing of the behavior data, and obtaining the behavior data of the user in corresponding multiple dimensions; the method comprises the steps of obtaining target behavior data suitable for credit evaluation, determining a multi-factor analysis result influencing user credit by performing behavior analysis on the target behavior data, and dynamically generating a credit score of a user at the current time based on the target behavior data, the multi-factor analysis result influencing the user credit and a preset credit scoring model. According to the dynamic credit assessment method, the assessment period is shortened, the credit score can reflect the current credit condition of the user in time, the hysteresis problem of the credit score of the user is solved, the bank is prevented from missing high-quality customers or excessive lending to the user with high credit risk is avoided, the credit risk is reduced, and the credit efficiency is improved.