50 results about "Suitability analysis" patented technology

Disclosed are apparatuses, systems, and techniques that evaluate suitability of prompts for language model (LM) processing for improved quality and security of LM outputs. The techniques include determining prompt verification score(s) that include a first subset of tokens and a second subset of tokens, and obtaining, using an LM, the individual prompt verification score characterizing a likelihood that the second subset of tokens occurs, in the prompt, together with the first subset of tokens. The techniques further include determining, using the prompt verification score(s), whether the prompt is to be provided to the LM.

The invention provides a pumped storage power station multi-element multi-target intelligent online site selection method and device and a storage medium. The method comprises the following steps: extracting a midpoint of each river network line segment as a candidate point to construct a candidate point set # imgabs0 #; the set # imgabs3 # is screened according to the water diversion distance # imgabs1 # and the water head parameter # imgabs2 #, and a set # imgabs4 # is obtained; verifying the dam length, the dam height, the reservoir capacity and the reservoir surface form of the candidate points in the set # imgabs5 # by using a multi-target constraint model to obtain a set # imgabs6 #; a candidate point # imgabs8 # is selected from the set # imgabs7 #, a candidate point # imgabs11 # matched with the candidate point # imgabs10 # in the set # imgabs9 # is screened out, and a set # imgabs12 # is obtained; and obtaining a candidate point, which is optimally matched with the candidate point # imgabs14 #, in the set # imgabs13 # through suitability analysis. The pumped storage power station online site selection method is optimized from the aspects of site selection efficiency, reservoir capacity calculation, homogeneous site optimization, site comprehensive evaluation and the like.

The invention provides a high-efficiency intelligent teaching resource scheduling algorithm and an implementation method thereof, and the method comprises the steps: constructing a judgment matrix according to a learner capability difference evaluation result, cooperation efficiency analysis data, knowledge graph coverage rate statistics and learning style matching degree score, carrying out the calculation to obtain a group heterogeneity index, solving the weight of each index through a feature value method, and carrying out the calculation of the group heterogeneity index. Carrying out weighted summation to obtain a group complementarity comprehensive index; acquiring a historical learning data sequence of a learner, extracting time sequence features, combining a current individual progress deviation monitoring result, individual resource demand evaluation and individual learning content suitability analysis, constructing an individual development trajectory prediction model, and predicting a future individual learning performance curve; and aiming at the group complementarity comprehensive index and a future individual learning performance prediction result, constructing a multi-objective optimization model of resource allocation, setting a group complementarity objective function and an individual satisfaction objective function, and solving to obtain a resource allocation scheme for balancing group and individual benefits.

The invention discloses an activated carbon pore regulation and control method and monitoring equipment, and belongs to the technical field of spectrum analys.The method comprises the steps that on the basis of a probability prediction model, spectrum scanning frequency is dynamically adjusted, and real-time global spectrum collection is carried out; the method comprises the following steps: setting a self-adaptive threshold value, extracting time sequence slope and acceleration by a dynamic sliding window, generating a time sequence change matrix, judging an abnormal spectrum, screening and analyzing unexpected signals, realizing accurate identification of known and new unexpected signals, and reversely deducing molecular configuration parameters through a characteristic peak position interval. Calculating a matching degree difference value between the pore size and the molecular configuration, and carrying out matching analysis to ensure the suitability analysis accuracy of the pore characteristics and the pollutant molecules; according to the matching degree difference value, porosity gradient regulation and control are carried out, real-time monitoring is carried out to verify the regulation and control effect, self-evolution is achieved, and the regulation and control efficiency and precision are continuously improved.

A decision system (100) for planning urban green spaces in cities, wherein the system comprises: a remote sensing unit (102) configured to acquire satellite and aerial imagery for the assessment of land surface temperature (LST), land use, land cover and urban green areas; a unit (104) of a geographic information system (GIS) integrated with a remote sensing unit (102) and configured to collect and process spatial data, including land surface temperature (LST) data, land use data and green space distribution data; a computing unit (106) connected to the remote sensing unit (102) and configured to estimate the green space requirement based on LST reduction, wherein the computing unit (106) uses a curve fitting technique using historical and observed data sets to reduce the LST; a prediction unit (108) connected to a computing unit (106) and configured to predict the optimal grassland area to achieve a desired LST reduction, wherein the prediction unit (108) uses a third-order polynomial equation that correlates the grassland area with the land surface temperature; a data validation unit (110) used to validate generated outputs using statistical methods, such as the coefficient of determination (R²). 2 ), of the mean square error (RMSE) and the mean absolute error (MAE), is configured to ensure accuracy and reliability; a site suitability analysis unit (112) integrated into the GIS unit (104), configured to identify suitable locations for urban green spaces based on spatial distribution, land use patterns and LST data; A processing unit (114) is configured so that urban planners and political decision-makers can enter parameters such as the desired temperature reduction and generate reports with detailed information on the need for green spaces and suitable locations for implementation.

The invention provides a site selection method and device for an offshore photovoltaic project, a storage medium and electronic equipment, and relates to the technical field of computers. The site selection method comprises the following steps: acquiring a first evaluation index set and a second evaluation index set, wherein the first evaluation index set and the second evaluation index set have an evaluation index intersection or the first evaluation index set comprises the second evaluation index set; carrying out navigation environment analysis on the candidate offshore area by utilizing evaluation indexes in the first evaluation index set to obtain a first score; performing photovoltaic array area suitability analysis on the candidate offshore area by using evaluation indexes in the second evaluation index set to obtain a second score; and determining a site selection score of the candidate offshore area according to the first score and the second score, and determining that the candidate offshore area is suitable for serving as a photovoltaic array construction area of the offshore photovoltaic project when the site selection score is greater than or equal to a score threshold value. According to the invention, the accuracy of offshore photovoltaic project site selection can be improved.

The invention provides an automatic plant maintenance method and device based on multi-AI model collaboration, belongs to the technical field of intelligent plant maintenance, and solves the technical problem that the intelligent result of automatic maintenance is inaccurate due to lack of precise data support in existing plant maintenance. The method comprises the following steps: performing parallel processing on acquired data by utilizing a multi-AI model; the multi-AI model comprises a plurality of sub-models and a structured cooperative processing module; the sub-model comprises a plant health status evaluation sub-model; a disease identification sub-model; a pest recognition sub-model; an environment suitability analysis sub-model; a plant growth state stage identification sub-model; generating a unified data contract by using an information summarization formatting method; performing environment conflict detection, forming an intelligent maintenance executable strategy, converting an equipment instruction, executing automatic control and supervision, performing periodic monitoring management and adaptive adjustment, and outputting an intelligent maintenance result report. The system is suitable for automatic plant maintenance based on computer vision, the Internet of Things technology and the automatic control technology.

The invention provides a method for constructing a watershed ecological safety pattern based on multi-target management, and the method comprises the steps: forming the construction of a watershed hydrology and water resource safety pattern, a water pollution safety pattern, a biological safety pattern and a historical and cultural heritage safety pattern through key node and landscape structure analysis, landscape pattern control mode analysis and other spatial analysis technologies; carrying out superposition calculation on different importance degrees of different grids under different target security patterns, carrying out ecological suitability analysis through landscape features and structures, then judging key areas and nodes for guaranteeing the ecological security pattern of the watershed, and correspondingly determining the positions of the key areas needing to maintain the ecological current situation or carry out ecological construction optimization; the comprehensive optimization research of the drainage basin multi-target ecological safety pattern construction technology is carried out, and multiple different-dimension management targets such as drainage basin function layout optimization, water quality pollution treatment, water resource space-time optimization configuration, biodiversity conservation, historical and cultural heritage protection and subsequent government function management and policy and measure compilation are optimized and realized at the same time.

The invention discloses a flight recovery method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining the disturbance information of flights, and screening disturbed flights according to the disturbance information; carrying out heterogeneity classification on the disturbed flights to obtain priorities, obtaining runway information of the disturbed flights, and carrying out availability and suitability analysis on the runway information; a flight recovery optimization model is established by taking the priority, runway information and flight information of disturbed flights as constraint conditions, recovery parameters for recovering flight of the disturbed flights are output by utilizing the flight recovery optimization model, and the recovery parameters are solved by adopting a novel convergence-diverse particle swarm intelligent optimization algorithm CDPSO. The flight heterogeneity and the multi-runway cooperation characteristic are introduced, airplane-unit linkage modeling is combined, the integrated recovery decision model is constructed, the scientificity, operability and execution efficiency of recovery scheduling can be improved, the adopted novel CDPSO algorithm integrates population layering, infeasible solution repairing and feasible solution detection mechanisms, and the solving performance is greatly improved.

The invention discloses a complex curved surface composite material double-stage laying path planning integrated optimization method, and belongs to the technical field of composite material automatic laying forming. The method specifically comprises the following steps: 1) establishing an initial ply design model; 2) based on the determined laying material, carrying out laying suitability analysis on the initial laying layer design model; 3) carrying out regional division on a laying curved surface structure of the laying layer design model suitable for laying, and determining laying process parameters of each path planning region; 4) in each path planning area, adopting a multi-constraint initial laying path generation method to generate an initial laying path; 5) adopting a multi-constraint optimized path densification method to generate an offset laying path; 6, laying path planning of all path planning areas in each laying layer.According to the automatic laying path planning method, by optimizing the generation method of the initial path and the offset path, the problem that laying process constraints are mutually restricted in the automatic laying process is solved, and the more accurate and efficient automatic laying path planning method is provided.

The invention provides a forest community space construction method and system using AI model optimization, and the method comprises the steps: firstly obtaining a forest basic environment data set containing topographic features, soil attributes and climate condition information, carrying out the community suitability analysis processing of the forest basic environment data set, and obtaining the suitability evaluation results of different tree species; calling a pre-trained community space optimization model to carry out space configuration calculation, generating a forest community space configuration scheme including tree planting position distribution and planting density planning, and generating a community planting layout instruction including geographic coordinate marks and planting quantity distribution rules according to the forest community space configuration scheme, and the community planting layout instruction is sent to a forest planting execution system to trigger planting layout operation, so that the forest community can be scientifically and efficiently constructed, and the ecological and economic benefits of the forest are improved.

The invention provides a dynamic regulation and control method for working parameters of an environment self-adaptive detector, and relates to the technical field of operation parameter optimization, and the method comprises the steps: obtaining a non-intervention operation state based on the model identifier of the detector and multi-modal environment feature vector retrieval; based on the non-intervention operation state and the multi-mode environment feature vector, working condition adaptability analysis is carried out, and reference control parameters are output; and after the jump control parameters of the updated environment feature vectors are matched to gradually adjust the detector from the reference control parameters to the jump control parameters, working condition suitability analysis is carried out according to the real-time operation working conditions and the updated environment feature vectors, and closed-loop dynamic regulation and control of the working parameters of the detector are carried out. The technical problem that in the prior art, due to the fact that working parameter setting of a detector in a complex working scene cannot be updated in a self-adaptive mode along with the environment, running reliability and detection precision of the detector are insufficient is solved. The technical effects of autonomously optimizing the working parameters of the detector in a complex and changeable environment and remarkably improving the detection precision of the detector are achieved.

The present invention provides a method for evaluating the health of small and medium-sized rivers based on niche suitability analysis, including screening a set of indicator species for small and medium-sized rivers, constructing a set of initial environmental elements for small and medium-sized rivers, extracting important niche dimensions using data dimensionality reduction technology, constructing niche suitability curves for each dimension, solving the hypervolume of a multidimensional hyperrectangle in an ideal state of an optimal niche, proposing a niche suitability evaluation method based on the fit between the actual and optimal niche hypervolumes, and constructing a new system for evaluating the health of small and medium-sized rivers based on the niche suitability of indicator species; by quantifying the concept of niche, a new method for evaluating the health of small and medium-sized rivers is proposed from an ecological perspective, providing technical support for better achieving the goal of ecological environmental recovery of rivers and lakes.

The invention provides a system and method for assembly line suitability analysis. A system and method includes acquiring data related to operation of an assembly line and generating a virtual environment of the assembly line using the acquired data. A virtual environment is defined using an assembly process model synchronized with real-time assembly line data. Real-time assembly line data, historical data, and sensor data are used to simulate tasks of one or more production line workers. The assembly line is rebalanced in real-time based on the simulation to reduce the travel time for one or more production line workers to perform tasks.

The present invention provides a patrol vehicle remote path planning method combined with original images, and the steps are as follows: 1) obtaining the starting point position, heading, moving target point, target heading, multiple pairs of navigation camera original images, and two pairs of front and rear obstacle avoidance camera original images; 2) generating point clouds from multiple pairs of navigation camera point clouds and two pairs of front and rear obstacle avoidance camera original images, synthesizing and splicing terrain and suitability analysis results, and then planning a passable path with the minimum point method according to the target point and heading constraints; 3) analyzing the stones on the front of the patrol vehicle, combining the original image of the obstacle avoidance camera and the three-dimensional point cloud image of the obstacle avoidance camera to determine the passability of the stones; stipulating the method of pressing over, bypassing or crossing over the obstacles, and proposing a corresponding detailed path planning method. The present invention realizes the response to close-range obstacles according to the actual state of on-track operation.

The invention relates to the technical field of nuclear power construction, in particular to a nuclear island pipeline simulation installation method and system based on a digital system, and the method comprises the steps: obtaining nuclear island region information and installation demand information, and determining nuclear island structure information, region environment parameters and pipeline distribution information according to the nuclear island region information; constructing a pipeline area model of the nuclear island pipeline based on the nuclear island structure information, the area environment parameters and the pipeline distribution information; and performing suitability analysis on the pipeline area model according to the installation demand information to obtain a target installation point location and an optimal installation scheme, thereby improving feasibility and reliability of nuclear island pipeline installation.

The embodiment of the invention provides a soil suitability analysis method, device and equipment based on AHP and a storage medium, and is applied to the technical field of big data. The method comprises the following steps: acquiring tiff image data of an area to be analyzed; inputting the tiff image data into a preset soil suitability analysis model, and outputting a crop soil suitability weight corresponding to the to-be-analyzed region; wherein the preset soil suitability analysis model is constructed based on an AHP algorithm according to influence factors, and the influence factors comprise the soil type, the soil moisture content and the soil water content; and on the basis of a GIS, according to the crop soil suitability weight and the tiff image data, generating crop soil suitability tiff image source data corresponding to the to-be-analyzed region. In this way, the accuracy and scientificity of soil suitability analysis can be improved, and powerful support is provided for agricultural production, land utilization planning and ecological environment protection.

The invention relates to the technical field of tourism industry data analysis, and discloses a tourism resource development suitability analysis method and device based on resource partition. The method comprises the following steps: firstly, obtaining initial partitions, and calculating a tourism evaluation index of each initial partition; and then according to the tourism evaluation indexes corresponding to all the initial sub-regions, the to-be-analyzed region is divided into a plurality of tourism large regions, and tourism development levels corresponding to all the sub-regions in each tourism large region are basically equivalent. According to the method, the to-be-analyzed area is not regarded as a whole to directly analyze the tourism resource development suitability of the to-be-analyzed area, but places close to the tourism industry development level are clustered into a large tourism area by designing a corresponding partition scheme, so that the analysis of suitability indexes is more reasonable; and finally, the ecological index data and the cultural index data are used as analysis indexes, so that the tourism resource development suitability analysis of each tourism region is more reliable and accurate.

The invention discloses a method and a system for adjusting and analyzing a 3D printing model of a riding shoe, and relates to the technical field of riding shoe design, the method comprises the following steps: acquiring initial three-dimensional graphic data and initial printing parameters of an initial 3D printing model designed for the riding shoe; wherein the initial three-dimensional graphic data comprises initial structure parameters, initial triangular patch data and initial texture information; the initial printing parameters comprise a printing material, a printing layer thickness, a printing temperature, a printing speed, a supporting structure and a printing path; according to the foot type data and the riding action mechanics parameters of the rider, the initial three-dimensional graph data and the initial printing parameters of the initial 3D printing model are analyzed, and an adaptability analysis result is obtained; adjusting the initial three-dimensional graphic data and the initial printing parameters according to the suitability analysis result; and outputting the adjusted 3D printing model of the riding shoe matched with the rider.

A method of providing repetitive motion therapy comprising providing access to audio content; selecting audio content for delivery to a patient; performing an analysis on the selected audio content, the analysis identifying audio features of the selected audio content, and extracting rhythmic and structural features of the selected audio content; performing an entrainment suitability analysis on the selected audio content; generating entrainment assistance cue(s) to the selected audio content, the assistance cue(s) including a sound added to the audio content; applying the assistance cues to the audio content simultaneously with playing the selected audio content; evaluating a therapeutic effect on the patient, wherein the selected audio content continues to play when a therapeutic threshold is detected, and a second audio content is selected for delivery to the patient when a therapeutic threshold is not detected.

A suitability analysis platform may receive one or more environmental parameter values of one or more environmental parameters collected for a plurality of sites by multiple sensor devices. The platform may aggregate the one or more environmental parameter values collected for each site of the plurality of sites by each site. Subsequently, the platform may receive queries for suitable sites for performing activities from user devices, in which each of the queries includes one or more environmental parameter value criteria for at least one corresponding environmental parameter of a suitable site for performing a specific activity. The platform may provide responses to the queries in which each response includes information on one or more sites of the plurality of sites with one or more environmental parameter values that match or are closest to the one or more environmental parameter value criteria of the corresponding query.

A system and method include collecting data regarding operation of an assembly line and creating a virtual environment of the assembly line using the collected data. The virtual environment is defined using an assembly process model that is synchronized with real-time assembly line data. A task of one or more line workers is simulated using the real-time assembly line data, historical data, and sensor data. The assembly line is realigned in real time based on the simulation to reduce a walking time of the one or more line workers to perform the task.

The invention discloses a multilateral consistency optimization control method for a partial differential multi-agent system. The multilateral consistency optimization control method comprises the following steps: a) constructing a diffusion partial differential multi-agent system model; b) proposing definitions of groups of the symbol network and structure balance, grouping the system, regarding the agents with positive weight connection as one group, and connecting the groups by non-positive weight values; c) establishing an error expression according to the definition of the group; d) proposing definitions of multilateral consistency and multilateral consistency optimization; e) designing a novel proportional partial derivative (PPD) controller; f) giving out a partial differential system suitability analysis under the controller; and g) designing a relationship between a cost function and a system state to obtain a condition for solving a multilateral consistency optimization problem, so that each agent in the group reaches an optimal value related to the group. The method is suitable for solving the distributed optimization problem of a large-scale multi-agent system, has quick responsiveness and can solve various practical problems.

Technologies are provided for determining a suitability of data payloads for training a machine learning model. A schema can be generated based on sample data payloads that have different data formats. The sample data payloads (and / or additional data payloads) can be converted to a format that conforms to the schema. Feature vectors can then be generated based on the converted data payloads, and used to determine a suitability of the data payloads for training a machine learning model. If the data payloads are sufficiently suitable, the converted data payloads can be used to train the machine learning mode. Otherwise, the schema may be annotated and new converted payloads may be generated based on the annotated schema. The feature vector generation and suitability analysis can then be repeated.

The invention discloses a potential evaluation method for a wide-area gravity energy storage system, and belongs to the technical field of new energy storage. Comprising the following steps: acquiring multi-source geospatial data of a research area, and preprocessing the multi-source geospatial data; slope analysis is carried out by utilizing the slope raster data, and critical stable slopes under different material combinations are calculated; projecting the terrain according to the minimum running gradient to form an LES mapping structure, and extracting centroid parameters; calculating the energy storage potential of an energy storage unit according to the centroid parameter, and deleting an area with an abnormal gradient in the LES mapping structure; and performing quantitative evaluation and economic evaluation on the carbon emission of the wide-area gravity energy storage system. According to the method, GES suitability analysis and potential measurement and calculation in a large-area range can be efficiently and automatically completed, and systematicness and precision of a traditional method in the aspects of multi-source data processing, deployment feasibility analysis and environmental economic evaluation are remarkably improved.

The invention discloses a weak current engineering-based park security and protection monitoring intelligent early warning system, relates to the technical field of park monitoring, detection and early warning, and is used for solving the technical problem that a park monitoring network in the prior art cannot carry out adaptability analysis on a single area and cannot carry out adaptability analysis on a plurality of areas. The method specifically comprises the steps that a single-area monitoring adaptation analysis unit carries out area suitability analysis on park monitoring, subarea division is carried out on a park monitoring network coverage area, photographing data and passing data of area monitoring groups in subareas are obtained, whether the suitability of a single subarea is qualified or not is judged according to data analysis, and if yes, the single-area monitoring adaptation analysis unit carries out area adaptation analysis on park monitoring. And the monitoring network security control unit is used for acquiring the area matching information and the data matching information, judging whether the matching performance of a plurality of sub-areas is qualified or not according to information processing, and performing monitoring network security control detection when the single-area matching lattice and the multi-area matching are qualified.

The invention discloses an airborne gravity modification method based on a helicopter, which comprises the following steps: carrying out suitability analysis on a helicopter and an instrument to be selected, and preliminarily evaluating the feasibility of modification; determining the installation position of an airborne gravimeter and the installation position of a GPS antenna; calculating according to the distance between the airborne gravimeter and the GPS antenna and the interference of the airborne gravimeter deviating from the gravity center of the helicopter on the whole measurement equipment formed by the helicopter, and further evaluating the feasibility of refitting; designing a GPS antenna bracket, an airborne gravimeter adapter bracket, a power interface and laying a feeder line; after the refitting design is completed, comprehensive safety evaluation is carried out, and the refitting design of the helicopter is completed according to an evaluation result. According to the method, the mounting positions of the airborne gravimeter and the GPS antenna are reasonably designed, so that the quality of airborne gravity measurement data can be effectively improved, and the method has guiding significance for subsequent airborne gravity measurement refitting work.

The invention discloses a hard rock ore body mechanized mining data processing analysis method based on a sensor network, and relates to the technical field of data analysis, and the method comprises the steps: carrying out the evaluation of the toughness degree of a cutter based on cutter angle change condition data and cutter tip wear condition data during mining of mining equipment; evaluating the overall strength of the hard rock based on the condition data of the hard rock needing to be mined during mining; performing cutter mining suitability analysis on the basis of a cutter toughness degree evaluation result and a hard rock overall strength evaluation result; the operation state of the mining equipment during mining is judged according to the cutter mining suitability analysis result, the judgment result is pushed, and the cutter state and the rock mass condition are associated and matched by analyzing the cutter angle change and the cutter tip wear condition during mining of the mining equipment and combining the strength evaluation result of the hard rock at the same time. And a closed-loop decision of dynamic matching of the cutter and the rock mass is realized.

According to the project site selection suitability analysis method and system based on GIS space superposition calculation, qualitative and quantitative analysis is carried out by comprehensively considering multiple influence factors, the suitability of project site selection is evaluated more comprehensively by utilizing a geographic information system (GIS), big data analysis and artificial intelligence, an optimal site selection scheme is found, and the project site selection suitability is improved. Therefore, the economical efficiency and sustainability of the project are improved, a project decision maker is helped to make a more scientific, accurate and sustainable decision, and the efficiency and benefits of the project are improved.

The invention provides a small and medium river health evaluation method based on ecological niche suitability analysis, and the method comprises the steps: screening a small and medium river index species set, constructing a small and medium river initial environment element set, extracting important ecological niche dimensions through a data dimension reduction technology, and constructing an ecological niche suitability curve of each dimension. The hyper-volume of the optimal ecological niche multi-dimensional hyper-rectangle in the ideal state is solved, an ecological niche suitability evaluation method based on the fitting degree of the actual and optimal ecological niche hyper-volume is provided, and a new medium and small river health evaluation system based on the indicator species ecological niche suitability is constructed; through the concept of quantifying the ecological niche, the new method for evaluating the health of the small and medium-sized rivers is provided from the perspective of ecology, and technical support is provided for better achieving the river and lake ecological environment recovery target.