71results about How to "Comprehensive evaluation results" patented technology

The invention relates to the technical field of geological disaster evaluation, in particular to a mine geological disaster risk comprehensive evaluation method considering spatial distribution characteristics. The method comprises the following steps: acquiring mine multi-source spatial data; performing mine geological disaster risk distribution analysis on the mine multi-source spatial data to generate a mine geological risk distribution map; performing spatial region potential disaster probability analysis on the mine geological risk distribution map to generate mine geological distribution disaster probability data; and performing high-complexity spatial region screening on the mine geological risk distribution map through the mine geological distribution disaster probability data to obtain high-complexity spatial region data. According to the method, multi-source data are integrated, spatial distribution characteristics are emphasized, active and inactive areas are distinguished, ecological and water body changes are analyzed, and the accuracy and comprehensiveness of mine geological disaster risk comprehensive evaluation are improved.

The invention relates to the technical field of behavior recognition, in particular to a machine learning-based surgical personnel video behavior recognition method and system. The method comprises the following steps: acquiring a video frame sequence and a point cloud frame sequence from a hand washing area of an operator through an RGB camera and laser ranging equipment to obtain the video frame sequence and the point cloud frame sequence; performing hand point cloud segmentation on the point cloud frame sequence to obtain hand point cloud data; performing action original data generation according to the video frame sequence and the hand point cloud data to obtain action original data; and extracting position and attitude information of hand key points from the original motion data to obtain video key point feature data. Visual information is captured through the RGB camera, three-dimensional depth information is obtained through the laser ranging device, fine analysis and evaluation are carried out on actions in combination with the deep learning network, and finally higher recognition precision, robustness and automation level are achieved.

The invention discloses an HIL simulation method for an underground mining whole process, and relates to the field of automatic driving simulation testing, and the method comprises the steps: collecting point cloud data of an underground scene, and generating a simulation scene in a CARLA format; compiling and importing the generated simulation scene in the CARLA format through a Unreal engine, building a vehicle model and a laser radar sensor model in a Carla simulator, and collecting a point cloud data packet of the simulation scene; according to the point cloud data packet, mapping is carried out through an SLAM algorithm, and a point cloud map in a PCD format is generated; constructing a map of the simulation scene according to the PCD point cloud map; building a hardware-in-the-loop HIL simulation platform comprising an upper computer, a lower computer and an execution mechanism; and loading the constructed map of the simulation scene to the constructed hardware-in-the-loop HIL simulation platform, simulating a real well working condition scene through the simulation platform, and verifying a well working condition unmanned driving algorithm. In order to solve the problem that unmanned driving tests are difficult to comprehensively evaluate in the prior art, the coverage rate of the tests is increased through a hardware integrated full-process closed loop and the like.

The invention relates to the technical field of smart communities, and discloses a building low-carbon operation management method based on data analysis, which comprises the following steps: acquiring building data, preprocessing the data to obtain a multi-dimensional data set, performing feature extraction by adopting a principal component analysis method aiming at the multi-dimensional data set, and calculating a feature value and a feature vector of a covariance matrix to obtain a building low-carbon operation management result. Selecting the first k principal components with relatively large feature values as new feature spaces to obtain a feature data set after dimension reduction, taking the feature data set after dimension reduction as input, constructing a credit rating prediction model by using a random forest algorithm, calculating importance scores of all features to rating results, and sorting the results according to the importance scores of the features to obtain a credit rating result. And selecting the first n features with higher scores as key feature factors, and constructing a credit evaluation feature vector. According to the method, a more accurate and comprehensive evaluation result is provided for building credit rating, and green building development and realization of energy conservation and emission reduction targets are effectively supported.

The invention discloses a big language model evaluation system and method, and belongs to the technical field of big language model evaluation. The system comprises a data preparation module, a basic performance evaluation module, an efficiency evaluation module, a robustness and multi-mode evaluation module, a distributed task scheduling module and a feedback optimization module. Through the system, the technical effect of multi-dimensionally, efficiently and automatically evaluating the large language model is achieved.

The invention belongs to the technical field of spectral analysis, and discloses a spectral analysis and image recognition combined intelligent stoma evaluation system and method.A three-dimensional scanning module captures the three-dimensional form of a stoma and the three-dimensional form of surrounding tissue of the stoma through the high-precision laser or structured light scanning technology; the spectral analysis module is used for accurately analyzing the color change of the stoma; the tiny color difference of the stoma area is detected to help to identify potential tissue abnormality; the image recognition and processing module is used for analyzing the collected stoma image by using a deep learning algorithm and automatically recognizing morphological characteristics of the stoma; the data analysis and feedback system is used for automatically generating a stoma health assessment report according to the collected multi-dimensional data; through a set standard reference value, an actual measurement value is compared, and a corresponding suggestion is given, for example, whether a nursing scheme needs to be adjusted or further medical intervention needs to be carried out. According to the method, the real-time state of the stoma is accurately evaluated through non-contact scanning and spectrum detection.

The invention discloses a method, a device and equipment for testing the uniformity of a light guide film, and the method comprises the steps: carrying out the dynamic temperature adjustment of the light guide film, and obtaining the multi-wavelength dynamic spectrum data of an edge region; nonlinear optical response characteristics are extracted; generating a dynamic optical characteristic diagram and performing three-dimensional structure analysis; calculating a thermo-optical coupling complexity index; generating dynamic change data of the optical performance of the edge region; and executing multi-dimensional evaluation index processing and time sequence analysis to obtain a dynamic accurate evaluation result. According to the technical scheme, the optical performance of the edge area of the light guide film can be accurately evaluated under the dynamic temperature condition, the influence of temperature change on the uniformity of the light guide film is effectively captured, the accuracy and practicability of a test result are improved, and a more reliable basis is provided for design optimization and quality control of the light guide film.

The invention belongs to the field of photovoltaic technology, and discloses a method and system for evaluating different types of roof photovoltaic installation potentials in different climate regions, and the method comprises the steps: shooting different types of aerial images, including orthographic top views and horizontal side views, of buildings with installed roof photovoltaic in different climate regions by using an unmanned aerial vehicle, and combining a roof / photovoltaic identification model to identify the installation potential of different types of roof photovoltaic in different climate regions; and the roof area and the photovoltaic area of each building in the image are counted, and the quotient of the photovoltaic area and the roof area is a roof available coefficient, so that the roof available coefficients of different types of buildings in different climate regions are summarized. The coefficient is closer to an actual value and is more comprehensive and practical compared with 100% utilization or 3D shadow analysis, and in an existing simple coefficient multiplication method, the value of the coefficient is not perfect and scientific. Recognizing the building roof area in the region by combining a roof recognition model; and determining functional attributes of the house building according to the POI data.

The invention provides a special vehicle driver comfort evaluation method fusing driving performance. The method comprises the following steps: S1, obtaining a subjective scoring index set, an objective physiological feature index set and a driving performance feature index set of a driver; s2, constructing an objective physiological feature scoring model and a driving performance feature scoring model; s3, obtaining objective physiological feature indexes and driving performance feature indexes of the to-be-scored driver; s4, based on the objective physiological feature scoring model, determining an objective physiological index score according to the objective physiological feature indexes of the to-be-scored driver; based on the driving performance feature scoring model, determining a driving performance score according to the driving performance feature index of the to-be-scored driver; s5, calculating a driver comfort score according to the objective physiological index score and the driving performance score; through the method, the comfort of the driver of the special vehicle can be evaluated more accurately and comprehensively.

The invention discloses an image data element value evaluation method and device, a terminal and a medium, and the method comprises the steps: obtaining to-be-evaluated image data and a description text corresponding to the image data, carrying out the feature extraction of the image data and the description text, carrying out the recognition of an entity in an image, and carrying out the recognition of a key target, according to the method, feature vectors of image data and a description text, an entity object recognition result of the image data and a key entity recognition result are obtained, and a comprehensive evaluation result is obtained by integrating the feature similarity of the image and the description text, the richness of the number of entity object classification labels and a key target detection result. Therefore, the evaluation result is more comprehensive and more accurate, the automatic evaluation of the value of the image data elements is realized, and the evaluation efficiency is remarkably improved.

The invention provides a strategic key mineral resource comprehensive evaluation and decision support service method and system, and the method comprises the steps: S1, carrying out the data collection and preprocessing, and constructing a digital twinborn model; s2, carrying out whole industrial chain material flow analysis; s3, estimating the waste quantity and the recovery quantity of resource products, and calculating the stock quantity; and S4, performing comprehensive evaluation and early warning according to the calculated content, and visually displaying the data. According to the invention, digital modeling and simulation of the whole process of strategic key mineral resources from exploration and exploitation to recycling are realized, a data barrier of the whole industry chain is broken through, and a system solution of the whole life cycle is provided.

The invention discloses a wireless communication link optimization system and method, and relates to the field of wireless communication. According to the method, the defect that the communication quality is evaluated only by depending on a single or few performance indexes in the prior art is overcome, and a comprehensive evaluation model which considers multiple factors and can accurately reflect the task specificity in the cloud-edge collaborative environment is constructed; the problem of poor adaptability of static QoS configuration to network environment change in the prior art is also overcome; meanwhile, the limitation that QoS parameters are difficult to preset and adjust in the prior art is improved, a set of mechanism capable of flexibly adjusting the QoS parameters is designed, the QoS strategy can be periodically generated and issued, and manual intervention is not needed.

The invention relates to the technical field of rock mass quality evaluation of mining engineering and underground rock engineering, discloses a method and a system for continuously evaluating rock mass quality by using a drilled rock core, and realizes refined, comprehensive and high-precision quality evaluation of the drilled rock core. Firstly, high-resolution three-dimensional image data of a drilled rock core are obtained through a high-precision laser scanning technology, the images can record geometrical characteristics and fracture characteristics of the rock core in detail, then the three-dimensional images are automatically analyzed by adopting an advanced image processing algorithm, information such as the geometrical characteristics, the fracture characteristics and mineral components of the rock core is extracted, and the rock core is subjected to real-time monitoring. The process greatly reduces the interference of human factors, ensures the objectivity and accuracy of data, and obtains the fault zone, crack and cavity information in the rock mass through the cross-hole radar tomography technology, so that the evaluation result is more comprehensive.

The invention relates to the field of machining, and discloses a complex component milling stability monitoring device, method and system and a medium, the complex component milling stability monitoring device comprises a rotor module, an iron core of the rotor module is installed on the outer side of a hollow rotating shaft, an induction coil is wound on the outer side of the iron core in the same direction, and a magnetic ring is arranged on the outer side of the iron core; the hollow rotating shaft is fixed with the handle; the permanent magnet of the stator module is fixed on the inner side of the shell; the rotor module is positioned on the inner side of the permanent magnet; the end face of the shell is provided with a sensor installation groove, the outer side of the shell is provided with a charging interface, and the shell is provided with an installation support fixing hole and a front / rear end cover fixing hole which are used for installation. The rotor module is arranged on the inner side of the stator module, a shell of the stator module is fixed to the sealing module, and the data acquisition and transmission module is connected with the sealing module to form the complex component milling stability monitoring device. A fixing module is installed on a stator module shell and connected with a main shaft system shell, and a rotor module is fixed to a cutter handle through a bolt.

The invention provides a vehicle performance evaluation method, electronic equipment, a medium and a computer program product, and relates to the technical field of data processing. The method comprises the following steps: acquiring vehicle data of a plurality of vehicles; the plurality of vehicles comprise to-be-evaluated modules of the same model; the vehicle data comprises a failure identifier and vehicle mileage data; determining a failed vehicle and a non-failed vehicle based on the failure identifier; the failed vehicle is a vehicle which cannot be normally used due to the fault of the to-be-evaluated module; and calculating a reliability index of the to-be-evaluated module by using the vehicle mileage data of the failed vehicle and the vehicle mileage data of the non-failed vehicle, so as to determine the performance of the vehicle by using the reliability index. According to the method, the vehicle performance is evaluated by combining the vehicle mileage data of the failed vehicle and the vehicle mileage data of the non-failed vehicle, so that the evaluation accuracy is improved.

The invention provides a rope skipping action evaluation method, device and system, a server and a storage medium, which are applied to the technical field of image processing, and the method comprises the following steps: obtaining a rope skipping video of a target user; determining skeleton point information of the target user in each frame of image of the rope skipping video; target information is determined based on skeleton point information of the target user in each frame of image, and the target information comprises at least two of landing distribution, rope skipping postures and rope skipping counting results of the target user; based on at least two pieces of information of the landing distribution, the rope skipping posture and the rope skipping counting result, the rope skipping action of the target user is evaluated. According to the rope skipping action evaluation method, device and system, the server and the storage medium provided by the invention, the purpose of evaluating the rope skipping action of the user from multiple dimensions is achieved, and the comprehensiveness of the evaluation result is improved.

The invention discloses a static pressure pile perpendicularity detection method, which relates to the technical field of static pressure pile detection, and comprises the following steps: analyzing to obtain the horizontal offset between the upper and lower sections of a static pressure pile according to the circle center coordinates of the upper and lower sections of the static pressure pile; according to the horizontal offset between the upper section and the lower section of the static pressure pile and the circle center elevation of the upper section and the lower section, the slope rate between the upper section and the lower section of the static pressure pile is obtained through calculation, and the perpendicularity condition of the static pressure pile can be comprehensively evaluated through the two key parameters of the horizontal offset and the slope rate. The inclination rate comprehensively considers the height difference of the pile body in the vertical direction and the deviation of the pile body in the horizontal direction, the inclination degree of the pile body can be more visually reflected, a more comprehensive and accurate evaluation result is provided for static pressure pile perpendicularity detection, whether the pile body meets engineering requirements or not can be better judged, the measurement precision is improved, personal errors are reduced, and the accuracy of static pressure pile perpendicularity detection is improved. And the reliability and repeatability of the result are enhanced.

The invention discloses a land reserve utilization benefit evaluation method, relates to the technical field of land utilization management, and uses a data collection module to collect and extract basic information of land, determines the development cost and environmental influence of the land based on the basic information of the land, and evaluates the development efficiency. The comprehensive evaluation module evaluates the basic value, development potential and comprehensive benefits of the land, analyzes the evaluation result, proposes adjustment suggestions, compiles and outputs an evaluation report by using a report output module, and the comprehensive evaluation module comprises a comprehensive land value evaluation unit, a unit for quantifying economic benefits brought by land development and a unit for comprehensively reflecting land utilization benefits. According to the invention, comprehensive, systematic, scientific and flexible evaluation of land reserve utilization benefits is realized.

The invention relates to the technical field of quality evaluation, in particular to a highland barley straw feed quality evaluation method which comprises the following steps: collecting a highland barley straw sample from a highland barley field; pretreating the collected highland barley straw sample; carrying out physicochemical index analysis on the pretreated highland barley straw sample; carrying out quantitative analysis on the main nutritional ingredients of the highland barley straw sample by adopting a near infrared spectrum analysis technology; performing palatability test on the ruminants; the highland barley straw samples are stored under different temperature and humidity conditions, and the storage stability of the highland barley straw is evaluated; statistical analysis: comprehensively evaluating the feeding quality of the highland barley straws; and grading quality. According to the method disclosed by the invention, various physicochemical indexes, nutritional ingredients, storage stability and palatability test results are comprehensively considered, so that the evaluation method is more comprehensive and accurate.

The invention discloses a single-mode optical fiber communication control system and method based on multi-carrier communication, and relates to the technical field of optical fiber communication. The system comprises a historical data acquisition and signal quality evaluation module, a data feature extraction and deviation analysis module, a multi-carrier transmission model construction and simulation module, a real-time transmission and quality monitoring module and an optimization result output and adjustment prompt module. The historical data acquisition and signal quality evaluation module acquires historical transmission data and calculates a signal quality score; the data feature extraction and deviation analysis module extracts feature vectors and defines an optimization target; the multi-carrier transmission model construction and simulation module constructs a multi-carrier transmission model according to the template data, simulates to-be-optimized data transmission and generates an optimization strategy; the real-time transmission and quality monitoring module transmits to-be-optimized data in real time according to an optimization strategy; and the optimization result output and adjustment prompt module compares the scores of the real-time data and the to-be-optimized data and outputs prompt information.

The application provides a multi-dimension evaluation method for an interference scene, which solves the problems of evaluation hysteresis, improves the consistency of evaluation, solves the single dimension of evaluation and the lack of consideration of terrain in the evaluation of the interference scene; the position accessibility analysis of terrain perception of a propagation path between a signal simulation device and a target device is carried out based on a digital elevation model; the device behavior compliance analysis is carried out in four dimensions of time domain, space domain, frequency domain and energy domain; if there is a moving route, the route coverage and signal continuity analysis are carried out in combination with the analysis results of the former two; finally, the analysis results of the three dimensions are weighted and fused to calculate the scene comprehensive effectiveness score and map it to high, medium and low three levels of confidence. Through the construction of the multi-dimension collaborative pre-evaluation system, the scientific and quantitative pre-evaluation of the training scene planning scheme is realized, the planning quality and efficiency are effectively improved, and the risk of waste of training resources is reduced.

The invention belongs to the technical field of comprehensive energy park evaluation, and particularly relates to a comprehensive energy system evaluation method considering park multi-energy complementation. Aiming at the defect that the existing comprehensive energy system evaluation method is not comprehensive and accurate enough, the invention adopts the following technical scheme: the comprehensive energy system evaluation method considering park multi-energy complementation comprises the following steps: establishing a multi-level index system comprising multiple dimensions; related basic data of the target park are collected, and calculation of indexes of all levels is completed; completing the construction of a composite index evaluation system according to an analytic hierarchy process and an expert evaluation method; according to a scoring standard, performing score evaluation on each level of index of the target park, and determining a membership degree and a fuzzy comprehensive evaluation matrix; and according to the weight of the composite index evaluation system, calculating an evaluation score of the target park, and determining an evaluation grade. The method has the beneficial effects that a more comprehensive, accurate and reliable comprehensive evaluation result can be obtained, and powerful guidance is provided for subsequent improvement of the park.

The invention discloses a source load-based island operation capability evaluation method and device and a medium. The method comprises the steps of generating an anticipated fault set according to operation data of a power distribution network; the method comprises the following steps: modeling a distributed power supply and a load of a disaster-affected power distribution network to obtain initial operation data of the distributed power supply and each load node; carrying out island division on the affected power distribution network according to the anticipated fault set and the initial operation data to obtain an island division result; and evaluating the operation capability of the island division result according to a preset index set to obtain an evaluation result. According to the source load-based island operation capability assessment method and apparatus, and the medium provided by the invention, the anticipated fault set and the initial operation data are comprehensively considered, the distributed power supply and the load are reasonably configured, the reliability of island division can be ensured, and the island operation capability can be effectively assessed according to the preset index set. The method can solve the problem that it is difficult to carry out effective island division and island operation capability evaluation on a disaster-affected power distribution network.

The present invention provides a micro-renewal and transformation project evaluation method based on spatial multidimensional data analysis, which relates to the field of spatial evaluation technology, including: establishing a multidimensional space recognition result through a spatial data set of a preset analysis scale and a target space; using the multidimensional space recognition result to perform spatial shape aggregation, establishing a spatial shape aggregation result and its micro-renewal and transformation project identification; establishing a technical indicator set, reconstructing the weight of the technical indicator set through the micro-renewal and transformation project identification, generating an update evaluation indicator to evaluate the micro-renewal and transformation, and generating a first evaluation result; reading micro-renewal and transformation feedback data, establishing a second evaluation result; using the first evaluation result and the second evaluation result to generate a micro-renewal and transformation project evaluation result of the target space. The present application solves the technical problem that the existing method relies on subjective opinion collection and large-scale site selection, lacks spatial data support, and leads to limited site selection accuracy and transformation effect, and improves the scientificity and sustainability of the transformation project.

The present invention relates to the technical field of thermal insulation materials, and discloses a method and system for evaluating the performance of cold insulation materials, including: obtaining a laboratory test performance curve of the cold insulation material that changes with time and installation construction level; obtaining the operating index of the equipment insulated by the cold insulation material, and simulating the operating state of the cold insulation material according to the operating index to obtain the uniform performance curve of the cold insulation material; detecting the actual cold insulation performance of the cold insulation material, and calculating the cold insulation performance correction factor of the cold insulation material according to the actual cold insulation performance and the uniform performance curve; and comprehensively evaluating the performance of the cold insulation material according to the laboratory test performance curve, the uniform performance curve and the cold insulation performance correction factor. Through the above technical scheme, the evaluation results of the performance of the cold insulation material by three methods of laboratory testing, theoretical simulation and on-site measurement of the cold insulation material are comprehensively considered, which has high systematicity and operability, and has higher guiding significance and practical value in engineering practice.

The application discloses a self-adaptive multi-modal data fusion bridge health monitoring method and system, generates a response sample database through establishment of a bridge nonlinear dynamics equation, pre-processes bridge sensor data and trains a deep learning model to extract damage features, and self-adaptively optimizes model parameters; based on model output, real-time and historical data are combined to perform bridge health evaluation, and a monitoring strategy is dynamically adjusted or early warning is triggered; an edge computing device is deployed to perform pre-processing and damage identification, and long-term trend analysis is realized in cooperation with a cloud platform; macro-structure damage and micro-crack data are fused through cross-scale feature extraction; an artificial intelligence algorithm is used to generate a bridge health evaluation result, a bridge maintenance and repair scheme and a decision-level early warning signal. The application combines nonlinear dynamics modeling, self-adaptive deep learning, edge cloud collaborative computing and cross-scale analysis, improves complex damage identification precision and monitoring intelligent level, and is suitable for large-scale traffic network bridge monitoring management.

The invention provides a virtual test planning design and operation evaluation method based on a mechanism data fusion model, and relates to the field of digital twinning of complex equipment. Implementation steps of the virtual test planning design and operation evaluation method based on the mechanism data fusion model comprise three step modules of data fusion model construction, virtual test planning design and virtual test operation evaluation. The data fusion model construction module comprises three steps of mechanism model construction, data-driven model construction and fusion strategy design, and the virtual test planning design step module comprises three steps of test target definition, test design optimization and test plan generation. According to the method, the mechanism model and the data driving model are combined to optimize and evaluate the virtual test process, and the method is widely applied to the fields of engineering design, product development, system optimization and the like.

The invention discloses an evaluation method for an anti-scaling agent of oilfield produced water. The evaluation method comprises the following steps: preparing an anti-scaling agent water sample and a blank water sample by utilizing the oilfield produced water or simulated produced water; standing the scale inhibitor water sample and the blank water sample to form scales; calculating the anti-scaling rate of the anti-scaling agent by using the scale quality difference between the anti-scaling agent water sample and the blank water sample; the method solves the problem of serious evaluation distortion caused by high dilution ratio of a water sample with high calcium and magnesium ions when the scale inhibitor is evaluated by conventionally detecting the concentration change of scale-forming cations in produced water added with the scale inhibitor and not added with the scale inhibitor.

The invention discloses a loess plateau power grid facility coupling meteorological disaster risk dynamic assessment method and system. The method comprises the steps of obtaining static parameters, gridding meteorological forecast data and geographical geological data of primary equipment of a power grid in a target area; based on the static parameters, the gridded weather forecast data and the geographic and geological data, combining a pre-constructed risk assessment index model to obtain various risk indexes of the target equipment in the prediction time period; and determining the comprehensive risk level of the equipment by adopting a weighted fusion or most dangerous principle based on each risk index, and generating a risk distribution diagram and early warning information. The adaptive power grid equipment risk assessment method is constructed according to the meteorological geology characteristics of the loess plateau region, the problem of water and soil disability of a general model is solved, main meteorological disasters are comprehensively covered through five indexes, and the assessment result is more comprehensive and accurate; on the basis of weather forecast data, risk rolling assessment of several hours to several days in the future can be realized, passive response is changed into active defense, and the operation and maintenance efficiency is improved.

The invention relates to the technical field of optimization methods, and particularly discloses an optimization system and method for generation of an ether-based fuel for a vehicle, and the method comprises the following steps: 1, detecting the uniformity of a fuel stock solution to obtain uniform detection data; 2, based on the uniform detection data, calculating a uniform coefficient; 3, based on the uniformity coefficient, evaluating the uniformity of the fuel raw stock, and generating a uniformity evaluation signal; 4, planning a stirring route based on the non-uniform signal, so as to continuously stir the fuel raw stock based on the stirring route; 5, performing uniformity detection on the stirred fuel raw stock again until a uniform signal is generated; according to the method, a comprehensive evaluation system is constructed, the system not only covers the quantitative representation of the uniformity degree, but also considers the distribution condition of the uniformity in a global range, the evaluation result is more comprehensive and objective by comprehensively considering the two dimensions, and an effective means is provided for quality control in the production process.