24 results about "Impact evaluation" patented technology

The invention discloses a strong-impact high-simulation dummy evaluation system and method. The system comprises a dummy model, a mounting base and a dummy evaluation module, the dummy model comprises a head assembly, a neck assembly, an upper trunk assembly, a left arm assembly, a right arm assembly, a hip assembly, a left leg assembly and a right leg assembly. The mounting base comprises an X-direction adjusting handle, a Y-direction adjusting handle, a Z-direction adjusting handle, a 360-degree rotation adjusting handle and a dial; the dummy evaluation module comprises a data acquisition unit (sensor) and a data analysis and processing unit, and is used for carrying out impact evaluation on the dummy model. The device and the method are suitable for test data acquisition and analysis in scenes such as coal mines, chemical environments, free field explosion impact environments and shock tube tests, and evaluation and testing of human injury conditions and protection effects of protection products (such as protection clothing and protection helmets) in strong impact environments are realized; and different types of sensors can be arranged at different parts of the dummy according to requirements so as to research the injury mechanism and the equipment protection performance.

The invention provides an environmental assessment report essential factor intelligent review method for solving large model context limitation, and relates to the technical field of environmental impact evaluation.The method comprises the steps that S1, structural analysis and essential factor decomposition are conducted on an environmental assessment report, and essential factor special text blocks are generated; s2, constructing and dynamically updating a local environmental assessment professional knowledge base adaptive to element review; s3, associating the element special text blocks with a local environmental assessment professional knowledge base, inputting the associated elements special text blocks and the local environmental assessment professional knowledge base into a pre-trained large language model, executing special review, and generating review opinions; and S4, integrating the review suggestions, performing priority ranking and integration, and automatically generating a structured review report according to a preset template. According to the method, system-level guarantee of certainty, timeliness and process verifiability of professional compliance review can be realized in a cascade automation process of analysis-segmentation-knowledge association-large model reasoning; therefore, the problems of unreliable examination result, non-traceability and non-responsibility ascertainment caused by error cascade, time domain conflict and black box decision are solved.

The invention provides a hub digital research and development method and device based on a low-code development platform and a server, and relates to the technical field of simulation application generalization development, and the method comprises the steps: carrying out the material attribute mapping processing of an initial hub model according to the interaction information of a user side, and determining a target hub model; performing feature selection processing on the target hub model to determine a target feature surface, and determining a load arm coordinate system and a target simulation load arm based on the target feature surface; according to the load arm coordinate system, the target simulation load arm and the surface feature information of the rim in the target hub model, simulating the fixing state of the rim to determine the target detection state of the target hub model; and the load is given to the target hub model in the target detection state, and the target hub model is evaluated, analyzed and processed by using a preset service life evaluation assembly and a preset impact evaluation assembly to determine a target evaluation result. The research and development cost of the hub can be obviously reduced, and the research and development efficiency is improved.

The invention discloses a flood early-warning decision analysis method based on deep learning, and relates to the technical field of flood early-warning decision, and the method comprises the steps: collecting and aligning rainfall, water level, flow, engineering working condition and exposure data, generating probabilistic risk degree and impact evaluation through combining with a flood or waterlogging prediction module, and carrying out the early-warning decision analysis. Constructing risk-influence objects indexed according to space units and time slices; response telemetering is formed based on early warning sending, reading and handling receipts, and a credibility state and an attention budget state are recursively derived according to crowds and channels; under security constraints and attention budget constraints, candidate early warning strategies including early warning levels, publishing objects, publishing channels and action suggestion packets are graded and screened, graded pushing and disposal distribution are implemented according to selected early warning publishing strategies, relevant parameters are updated through auditing records and post-disaster true value recharge, and the early warning publishing strategies are distributed according to the updated parameters. Therefore, the conversion efficiency of the early warning action is improved while the invalid alarm and the disposal consumption are reduced.

This application relates to a life cycle impact assessment calculation method suitable for GIS-LCA, including the following steps: S01) Obtaining the process spatial location set S p S02) Obtain a list D suitable for GIS-LCA; S03) Obtain the set of spatial locations of characteristic influencing factors S c S04) Construct the spatial data matrix C of the characteristic influence factors; S05) Construct the process location set P of the characteristic influence factors. s ;S06) will P s The parameterization process is transformed into a characteristic influence factor location matrix P; S07) Calculate the score matrix H of the characteristic influence factors in spatial location; S08) Based on the score matrix H, perform environmental assessment and interpretation of the target product. This application changes the existing LCIA calculation method that mechanically adopts the flow name correspondence method. This application can utilize geographic information system technology to achieve automatic flow correspondence by means of spatial relationships, so as to meet the GIS-LCA calculation requirements for LCIA.

The invention relates to the technical field of coal mine safety, and provides a multi-factor impact risk evaluation method and system for instability of a super-thick surface soil-coal pillar structure. According to the evaluation method, when a target stope is of an extremely thick surface soil structure, stress factor impact evaluation is carried out on the target stope according to superposed stress borne by the target stope, and micro-seismic factor impact evaluation is carried out on the target stope based on micro-seismic monitoring of the target stope; and then coupling a stress factor impact evaluation result and a micro-seismic factor impact evaluation result of the target stope to realize impact risk evaluation of the target stope. Therefore, the overall impact risk of the stope is comprehensively evaluated by combining the stress factor impact risk evaluation result and the micro-seismic factor impact risk evaluation result, the impact risk identification of the island working face under the condition of extremely thick surface soil is perfected, and the deficiency of an island working face bearing stress estimation method is made up; and rock burst accidents caused by blind mining of the island working face under the condition of extremely thick surface soil are avoided.

The invention discloses a life cycle theory-based low-carbon ferromanganese product environmental impact evaluation method, which comprises the following steps of: firstly, determining an evaluation object, a function unit and a system boundary based on a life cycle evaluation method system; dividing the life cycle of the evaluation object into a plurality of unit processes according to a system boundary, and establishing an input and output data list of each unit process; a corresponding characterization model is selected, a list analysis result is analyzed according to characterization factors of the model, and an evaluation result of the life cycle environmental influence of the low-carbon ferromanganese is obtained and is represented by environmental influence potential values of different environmental influence types; and finally, the environmental influence result of the evaluation object is explained, and suggestions are provided according to the contribution degree of each element. The method has the advantages that the environmental influence of the low-carbon ferromanganese product is comprehensively and objectively evaluated, theoretical support is provided for optimization of the production process and carbon reduction and emission reduction of the whole process, and assistance is provided for green marketing of the product.

The invention relates to the technical field of environmental impact evaluation. The invention specifically discloses a functional service area ecological benefit assessment method and device. According to the method, the SWMM model and the InVEST model are combined, a comprehensive evaluation framework can be provided, the weights of the evaluation indexes are calculated through the combination of the analytic hierarchy process and the entropy weight method, the accuracy and reliability of the evaluation result can be improved, expert opinions are considered, actual data are utilized, the importance of all the indexes is considered, and the evaluation efficiency is improved. According to the invention, the method considers their performance in the actual environment, and can be adjusted according to the characteristics and demands of different service areas, thereby providing a comprehensive service area ecological benefit assessment, providing scientific basis for policy formulators and managers, helping them to understand the ecological benefits of different service areas, and making more reasonable decisions accordingly.

The invention discloses a hybrid shared bicycle system environment impact assessment method and system based on digital twinning, relates to the technical field of shared bicycle system assessment, and realizes denoising and stable modeling of station occupation data by introducing a long-term baseline and a standardized data set, so that abnormal oscillation stations can be accurately identified. Through an oscillation intensity index (i.e., an accumulated variation value normalization result), normal periodic fluctuation and abnormal large fluctuation can be effectively distinguished. And a hotspot cluster set is formed by further combining density clustering, and the future short-term fluctuation direction is predicted based on a trend quantity, so that a potential abnormal region is locked in advance in double dimensions of space and time. The mechanism ensures that scheduling triggering does not depend on single-point data any more, but improves timeliness and accuracy of vehicle supplementing operation based on double judgment of stability and tendency.

This invention relates to the field of mining engineering technology, specifically to a method for simulating and analyzing the support pressure distribution in a fully mechanized longwall mining face of an extra-thick coal seam. The method includes the following steps: S1. Bearing stability analysis; S2. Crack analysis; S3. Analysis of the impact of roof cutting operations; S4. Feasibility assessment of roof cutting and roadway protection; S5. Comprehensive analysis of support pressure. This invention collects stress data from coal pillars to analyze their bearing stability. It acquires and analyzes crack propagation rates through image processing to determine the severity of roof cracks. Based on the pressure parameters of the coal seam working face after roof cutting, it analyzes the effectiveness evaluation coefficient of the roof cutting operation. Through video recording and analysis, it obtains roadway deformation and surrounding rock stability, thereby analyzing the feasibility of roof cutting and roadway protection. This comprehensive analysis of the support pressure impact evaluation index of the fully mechanized longwall mining face allows for better implementation of targeted measures to ensure operational safety, optimizes mining processes and procedures, and improves mining efficiency.

The application discloses a BIM-based building construction quality management method and system, relates to the technical field of building construction quality management, and comprises the following steps: acquiring a project BIM three-dimensional model, a design specification text and a construction process plan, constructing an initial quality management information set and completing structured analysis, automatically comparing component geometric information with design specification parameters, and generating a preliminary conflict detection report.Combining with the construction process logic, impact evaluation and priority sorting are carried out on the conflict items to form a quality risk list with time sequence and priority labels, risk points are marked in the BIM model, and a three-dimensional visual rectification scheme is generated.According to the rectification scheme and the process plan, a quality inspection task list adapted to the construction progress is deduced reversely and is sent to a mobile terminal.The application makes the quality risk control conform to the construction time sequence, the risk disposal is more targeted, the quality inspection task is more matched with the on-site construction progress, and the intelligentization and refinement level of the construction quality management is improved.

The invention relates to the technical field of threat element updating, and discloses a real-time updating system and method for threat modeling elements, and the system comprises a monitoring module which is used for obtaining monitoring parameters of each monitoring point location in real time and carrying out the clustering analysis, obtaining a plurality of same-dimension monitoring parameter sequences, calculating a change coefficient of each same-dimension monitoring parameter sequence; the extraction module is used for extracting the same-dimension monitoring parameter sequence of which the change coefficient is greater than a preset change coefficient, generating a plurality of initial threat elements and calculating the credibility; the screening module is used for screening credible threat elements, evaluating influence evaluation values and generating comprehensive sorting values according to the influence evaluation values and the change characteristics; and the updating module is used for obtaining an updated threat element sequence according to the comprehensive sorting value, generating an updating instruction based on the updated threat element sequence, improving the accuracy of updating threat elements and the recognition accuracy of the threat model, and ensuring that the threat model is synchronous with the current threat attack situation.

This application discloses a test case selection method, electronic device, storage medium, and program product, relating to the field of performance testing technology. Through this application, sample test cases are executed under different operating parameters. By calculating the impact evaluation value, representative test cases that are more sensitive to changes in operating parameters are selected. This ensures that the selected target test cases can still accurately reflect the performance of the device under test, reducing the number of test cases and the time required for testing while ensuring the test effect and improving the test efficiency.

The invention discloses a second-hand house price influence evaluation method based on eigenvector spatial filtering multi-scale geographically weighted regression (ESFMGWR). The precision and efficiency of second-hand house price influence evaluation are improved. Firstly, real estate sample data are preprocessed; thirdly, constructing a spatial weight matrix by using a K-nearest neighbor algorithm, and extracting a feature vector with significant spatial autocorrelation through feature vector spatial filtering; the feature vector set is further simplified by adopting methods such as Lasso regression or stepwise regression. And then, the screened feature vectors and the original independent variables are integrated and incorporated into an MGWR model for modeling analysis, the bandwidth of the independent variables is optimized by using a golden section method, and finally, an influence evaluation result of the second-hand house price is obtained. According to the method, the complexity of the model is effectively reduced, the endogenous problem of the model is relieved, and the explanation strength and precision of the model are improved.

The application discloses a kind of dual-phase structure's impact evaluation method and device, the method comprises: obtaining the performance index set of dual-phase structure;The performance index set includes several performance index subsets;Each performance index subset includes the acquisition sequence value of several parameters;Impact resistance index numerical matrix is constructed using performance index set;Comprehensive evaluation processing is carried out to the impact resistance index numerical matrix, and impact resistance performance evaluation value is obtained.The application solves the problem that existing evaluation method is mostly dependent on empirical formula or qualitative analysis, and it is difficult to accurately predict the impact resistance performance of material in actual application.

A measurement system (3) for a wearable item (2) comprising a pressure sensing system including a plurality of capsule chambers (22) each filled with a fluid, and pressure sensors (28) connected to the capsule chambers configured to measure a variation in volume due to pressure applied on an outer wall of the chamber, the measurement system further comprising an inertial measurement unit (7) and an electronic control system (8) receiving measurement signals from the pressure sensors (28) and inertial measurement unit (7) and for processing said signals to compute parameters related to an impact.

To enable evaluation of whether a software defect is serious or not in cases where the software defect occurs.SOLUTION: A software defect evaluation method for evaluating defects of software installed on a mobile terminal 7 evaluates the severity of the defect based on impact evaluation information representing the degree of impact of the defect on a user of the mobile terminal 7 and scope evaluation information representing the range of impact of the defect on a large number of software users.SELECTED DRAWING: Figure 1

This invention discloses a method for evaluating the impact of urban road traffic entrances and exits based on big data, belonging to the field of urban traffic management technology. The method includes: constructing traffic feature vectors; building an urban road traffic network topology map based on the traffic feature vectors, proposing a dynamic weighted graph embedding algorithm, and establishing a road network association mapping model; applying an attention-based graph neural network algorithm to the road network association mapping model to evaluate the impact factors of road nodes and quantitatively analyze the impact degree of road entrances and exits; fusing the impact factor evaluation results and constructing a multi-dimensional traffic impact evaluation model using a cross-domain ensemble learning method; and generating optimized decision-making suggestions for urban road traffic entrances and exits through an intelligent recommendation algorithm based on the performance evaluation results of the multi-dimensional traffic impact evaluation model, thereby achieving precise scheduling of traffic network nodes. This invention develops an intelligent recommendation algorithm based on reinforcement learning, providing reliable optimization suggestions for traffic management decisions.

The invention discloses a method for evaluating social utility of a project based on a multi-modal large model Bert-Resnet, relates to the technical field of project evaluation, and solves the technical problems that semantic association behind a text and an image is difficult to understand, meanwhile, a self-attention mechanism is also lacked, sentiment analysis errors are easily caused, and then a subsequent social utility evaluation result is influenced. Through multi-modal large model framework construction, two different types of data of texts and images are integrated, multi-modal sentiment analysis is realized through a BERT-ResNet model, and compared with single-modal analysis, the public sentiment attitude can be more comprehensively captured. Through pre-training on a public data set and fine tuning on an own data set, the problem of insufficient data volume is effectively overcome, and the generalization ability of the model is improved. The sentiment analysis result is innovatively converted into a specific social utility index, and a quantitative means is provided for social influence evaluation of a project.

A measurement system for a wearable item comprising a capacitive pressure sensing system (5) including a plurality of capacitive sensors (6) comprising a deformable insulator layer (32a, 32b) and at least first and second electrodes (30a, 30b, 30c) on opposed sides of the deformable insulator layer, the capacitive sensors arranged in a distributed manner over a surface for covering a body part subject to impact. The capacitive sensors comprise first and second deformable insulator layers (32a, 32b) separated by a third electrode (32c), the first insulator layer having an elastic modulus that is different or the same to the elastic modulus of the second insulator layer, the capacitive sensors configured to measure a pressure applied on a major surface of the sensor transverse to the stacking direction of the electrodes and deformable insulator layers.

The invention discloses a suspension jump-up stroke design method based on impact evaluation and a vehicle applying the suspension jump-up stroke design method, and the design method comprises the steps: obtaining a relative damping coefficient capable of enabling a vehicle body acceleration root-mean-square to be a minimum value for a vehicle with a comfort requirement; according to the relative damping coefficient, calculating a corresponding suspension dynamic stroke root-mean-square value; establishing a normal distribution cumulative distribution function with a mean value of 0, a suspension jump-up stroke as a judgment threshold value and a suspension moving stroke root-mean-square value as a standard deviation; and the relative damping coefficient and the suspension jumping stroke are dynamically adjusted till the cumulative distribution function value is larger than or equal to 99.7%. According to the technology, by calculating the probability that the dynamic stroke of the suspension is larger than the limiting stroke, whether the design of the jump-up stroke of the suspension is reasonable or not can be rapidly evaluated, if unreasonable places exist, a dynamic adjustment scheme is given, the jump-up stroke of the suspension can be effectively estimated and evaluated in the initial stage of vehicle design, and the design efficiency is improved. The problem that a vehicle cannot meet the requirements for smoothness, stability and trafficability in the later period is effectively solved.

This invention discloses a method for attributing and assessing the impact of global urban precipitation variability based on geographically interpretable artificial intelligence. Relating to the field of urban geography, the method quantifies precipitation variability across multiple time scales and its urbanization impact through dynamic urban-rural pairing; it constructs a geographically interpretable artificial intelligence model to analyze the spatial heterogeneity contribution of driving factors; it decomposes precipitation variability into thermodynamic and kinetic components by combining numerical simulation and water vapor budget diagnosis; it then assesses the polarization characteristics of precipitation, from strong increase to weak decrease, and the resulting flood and drought risks; finally, it combines socioeconomic data to reveal the unequal pattern of risk exposure among cities at different development levels. This invention achieves an integrated analysis from physical mechanism analysis and risk quantification to socioeconomic impact assessment, providing a scientific basis for global urban climate resilience building and water resource management.

The invention provides a traffic impact evaluation report automatic generation system and method based on a local large language model, and the system comprises a report data collection module which is used for collecting traffic report data; the data annotation module is used for annotating corpora by adopting an instruction-input-output triple mode; the model training module is used for finely adjusting the pre-training language model by using a low-rank adaptation method; the knowledge base construction module is used for establishing a traffic influence evaluation knowledge base; the vectorization database module is used for vectorizing knowledge base texts; the data retrieval module is used for performing semantic retrieval; the data calculation module is used for calculating traffic indexes; the local large model module is used for generating a traffic influence evaluation report; and the local hardware module is used for completing the whole-process operation on the double RTX3090 GPU servers. According to the invention, the problems of low efficiency and non-uniform standard in the evaluation and report compiling process caused by the fact that traffic influence evaluation in the prior art mainly depends on manual work are solved.

The utility model relates to the technical field of sampling boxes, and discloses a sampling box for environmental impact evaluation, which comprises a bottom box body and an upper box body, a sponge tool seat is arranged in the bottom box body, a limiting rod is longitudinally arranged on the inner wall of the bottom box body, and a pressing plate is arranged above the sponge tool seat. A sponge tool seat is arranged in the bottom box body, used tools or equipment can be placed in the sponge tool seat, a limiting rod is longitudinally installed on the inner wall of the bottom box body, a pressing plate with a limiting hole is arranged on the limiting rod in a sleeved mode, a sponge plate is installed on the side, facing the sponge tool seat, of the pressing plate, and movable grooves are formed in the two ends of the limiting hole in the pressing plate. A reset coil spring is connected into the movable groove, the inner end of the reset coil spring is connected with the limiting rod, and when the upper box body is not opened, the pressing plate and the sponge tool base are closed under extrusion of the upper box body, and equipment in the sponge tool base can be subjected to all-directional buffering protection in cooperation with the sponge plate.