36 results about "Device Evaluation Method" patented technology

The invention discloses an EEG signal quality real-time evaluation method and device, and the method comprises the following steps: 1, building an EEG signal quality evaluation database based on an EEG public database, marking the EEG signal quality based on a signal quality grade standard, and dividing EEG signal quality grades according to score scores; 2, performing feature extraction on the EEG signal quality evaluation database, and constructing an EEG signal quality time-frequency-space feature set; 3, taking the time-frequency-space feature fusion feature map as input, and constructing an EEG signal quality real-time evaluation model based on a deep learning algorithm; 4, performing model deployment and real-time evaluation; and 5, outputting and feeding back the model. According to the method, the signal quality in the EEG equipment acquisition process can be evaluated in real time, a signal quality real-time display interface is constructed for real-time visualization, a user feedback mechanism is established, and a user can be prompted to adjust the equipment or operate.

The invention relates to the technical field of rail bridge engineering, and particularly discloses a rail-bridge system residual traffic capacity assessment method, medium and equipment, and the assessment method comprises the steps: constructing a rail-bridge system seismic response model and a train-rail-bridge system coupling vibration model of a research object; constructing an earthquake-induced irregularity sample library; establishing a simplified calculation model of the shock-actuated irregularity equivalent coefficient; performing curved surface fitting to obtain a shock-induced composite unsmooth fitting curved surface; putting forward earthquake-induced irregularity thresholds in different driving performance index states, and establishing a linear mapping relation between the earthquake-induced irregularity thresholds and the driving speed; and establishing a mapping relationship among the seismic oscillation intensity, the structure natural vibration period and the post-earthquake driving speed limit value in different driving performance index states, and outputting a residual traffic capacity evaluation result according to the post-earthquake driving speed limit value. According to the method, the problem that in an existing method, the quantitative mapping relation between the current rail surface irregularity after the earthquake and the train operation performance is not clear is effectively solved.

The invention discloses a power transformation equipment evaluation method and system based on multi-dimensional parameters, and relates to the field of power transformation equipment safety management, and the method comprises a sensing module which is used for collecting the operation information and initial health characterization data of power transformation equipment, and carrying out the classification of the collected information and data; the screening module is used for receiving the classified information and data in the sensing module, screening key parameters strongly related to the health state of the equipment from the classified information and data, and labeling health influence dimensions corresponding to the parameters; according to the method, by collecting and classifying various types of operation and health data of the power transformation equipment, key parameters highly related to equipment health are accurately screened, meanwhile, health influence dimensions are marked, dimension weights are determined, core evaluation elements can be focused, and irrelevant data interference is reduced.

To provide an evaluation apparatus, evaluation method, and program for properly evaluating a producer for promotion.SOLUTION: In an evaluation system, an evaluation apparatus is connected to a plurality of storages over a network. The evaluation apparatus 200 of a producer who uses the storages for storing articles, as inventory goods, under high-humidity low-temperature conditions includes: a receiving unit which accepts inventory goods delivered from the producer; an order reception unit which receives an order for the inventory goods from a consumer; and an evaluation unit which evaluates the inventory goods or the producer of the inventory goods, based on at least one of receiving records and order reception records.SELECTED DRAWING: Figure 2A

The application relates to a device evaluation method and device, an apparatus, a readable storage medium and a program product. The method comprises the following steps: obtaining running state data corresponding to each of a plurality of configuration states of a target device; wherein the running state data comprises at least a compatibility data set and a security data set; for each configuration state, performing median aggregation and multi-dimensional weighting based on the compatibility data set in the running state data corresponding to the configuration state to obtain a compatibility score corresponding to the configuration state, and performing maximum aggregation and security failure evaluation based on the security data set in the running state data corresponding to the configuration state to obtain a security score corresponding to the configuration state; and weighting the compatibility scores and the security scores corresponding to the plurality of configuration states to obtain a device evaluation result. The method can improve the comprehensiveness of device evaluation.

The invention discloses a security inspection equipment evaluation method based on a security inspection platform, the security inspection platform, electronic equipment and a storage medium. The method comprises the following steps: acquiring first security check data uploaded by at least one security check device, wherein the first identification data comprises a security check image; performing secondary identification on the security check image based on the first security check image identification model to obtain second security check data; wherein the first security check image recognition model is obtained by training based on first security check data uploaded by multiple security check devices; and evaluating the security inspection equipment based on the first security inspection data and the second security inspection data to obtain an evaluation result of the security inspection equipment. According to the invention, the security check platform is introduced, so that the supervision department can effectively supervise the security check result, and the delivery safety is ensured; through secondary identification of the security check platform, the second security check data of the security check platform is used as the standard security check data to evaluate the first security check data uploaded by the security check equipment, so that evaluation of the security check equipment is realized, and consistency and accuracy of security check results are ensured.

This application provides an AI device evaluation method, apparatus, device, and medium based on stepped pressure. The method includes: for each AI device to be evaluated, obtaining at least one type of test load model based on AI device domain requirements and AI device parameters; running the AI ​​device to be evaluated in each test load model; applying multiple levels of fixed stepped pressure to each test load model; when the test load model is stable under each level of fixed stepped pressure; collecting multi-dimensional performance parameters of the AI ​​device to be evaluated; determining cross-vendor multi-dimensional normalized reference values ​​of the test load model based on historical standard parameters of the reference AI device; calculating a comprehensive score for the AI ​​device to be evaluated based on the multi-dimensional performance parameters of each test load model, AI device domain requirements, and cross-vendor multi-dimensional normalized reference values ​​of each test load model; and evaluating the AI ​​device with the highest comprehensive score as the optimal device that meets the AI ​​device domain requirements, thereby improving the accuracy of the evaluation results.

To provide an evaluation apparatus, evaluation method, and program for granting a credit line based on inventory.SOLUTION: An evaluation apparatus in a storage that stores articles, as inventory goods, under high-humidity low-temperature conditions includes: a receiving unit which accepts inventory goods delivered from a producer; and a credit line granting unit which grants a credit line to the producer in accordance with the inventory goods.SELECTED DRAWING: Figure 1A

The invention relates to the technical field of power system online monitoring, and particularly discloses an icing galloping monitoring device evaluation method based on fuzzy comprehensive evaluation. In order to solve the problems that an existing evaluation method depends on experience judgment, standards are not uniform, evaluation dimensions are single, and a scientific basis cannot be provided for device type selection and arrangement, the method comprises the steps that a three-level evaluation index system of a tree structure is constructed, and weights of indexes of all levels are determined in a grading mode; and then dynamically adjusting the weight by adopting multiple strategies according to the actual configuration condition of the device, and finally calculating a comprehensive evaluation value and grade by applying a multi-level fuzzy comprehensive evaluation method. According to the method, comprehensive and accurate quantitative evaluation of the icing galloping monitoring device from technical parameters to overall performance is realized, the accuracy and comparability of an evaluation result are remarkably improved, and a scientific and reliable decision basis is provided for an electric power department to perform device type selection, purchase and optimized layout.

The invention discloses an evaluation method and system for a comprehensive monitoring device of a transformer. The method comprises the steps of constructing a power grid simulation model of a power grid where a target transformer is located; determining each operation time of the power grid simulation model under different operation conditions according to different load requirements; screening to obtain each target time period; extracting each operation data of each target time period; obtaining an operation result of the target transformer corresponding to each operation condition based on each operation data; in the evaluation process, monitoring results corresponding to the different operation conditions are obtained; and generating an evaluation report of the to-be-evaluated comprehensive monitoring device based on a comparison result obtained by comparing the operation result of the target transformer determined by each operation condition with the corresponding monitoring result. According to the evaluation method for the comprehensive monitoring device of the transformer, the comprehensiveness and accuracy of evaluation of the comprehensive monitoring device are remarkably improved.

The invention relates to the technical field of multimedia data analysis, and discloses a video material contribution degree evaluation method and device and electronic equipment. The evaluation method comprises the steps of performing shot segmentation on a finished video to determine a plurality of query fragments; based on a pre-constructed material feature library, performing feature matching on each query fragment, and determining a plurality of original video materials adopted in the finished video; determining the effective reference duration of each original video material in the finished video; and for each original video material, determining the contribution degree of the original video material in the finished video based on the effective reference duration and the total duration of the finished video. The accuracy of evaluating the contribution degree of the video material in the finished video can be improved.

The invention discloses an equipment evaluation method and system based on digital twinning and multi-modal data fusion, and relates to the technical field of intelligent manufacturing and equipment health management, and the method comprises the steps: carrying out the integration based on data sequences corresponding to different types of monitoring data, and obtaining a multi-type monitoring data fusion sequence; performing feature fusion on the multi-category monitoring data fusion sequence to obtain a corresponding multi-channel tensor, a cross-modal weight and zoom dot product attention; adaptively adjusting health degree index thresholds corresponding to different types of monitoring data; and based on the multi-category monitoring data fusion sequence and the health degree index thresholds corresponding to the different categories of monitoring data, carrying out equipment evaluation. Through multi-source heterogeneous data fusion, a dynamic health assessment model and virtual-real collaborative decision optimization, an efficient and intelligent equipment health management system is constructed, a reliable basis is provided for equipment assessment work, and a guarantee is provided for the real-time performance and the working efficiency of assessment work.

An evaluation device disclosed herein comprises: a first acquisition unit that internally scans a device to be evaluated having a plurality of pieces of software each assigned a version and a plurality of resources used for the plurality of pieces of software, and thereby acquires the name and version of at least one piece of first software among the plurality of pieces of software; a second acquisition unit that externally scans the device to be evaluated, and thereby acquires the name and version of at least one piece of second software among the plurality of pieces of software; a collation and identification unit that collates the name and version of the first software and the name and version of the second software, and thereby identifies the name and version of common software; and a determination unit that determines to preferentially restore the contents of the common software and at least one of resources or paths corresponding to the software.

To provide an evaluation device capable of evaluating a privacy risk of a language model after assuming a realistic attacker.SOLUTION: An evaluation device 1 includes: a discriminator construction section 11 that constructs a membership discriminator using a proxy language model; a set creation section 12 that creates a set of N-grams from a data set; an initial input section 13 that inputs an N-gram selected from the set to a language model to be evaluated; a response acquisition section 14 that acquires a subsequent token and an internal state as a response to the input token; a state update section 15 that calculates a loss with respect to a class of training data by the membership discriminator with respect to the response, updates the internal state such that the loss becomes small, and then inputs the token input immediately before again; a character string acquisition section 16 that causes the response acquisition section 14 and the state update section 15 to repeatedly execute processing a predetermined number of times and repeats acquisition of a part of a character string until an end symbol is obtained; and an output section 17 that outputs the obtained character string.SELECTED DRAWING: Figure 1

This application relates to the field of ship interaction action assessment technology, and discloses an assessment method, assessment device, and electronic equipment for ship interaction actions. The assessment method includes: acquiring the regional characteristics and task logic of the target interaction action, and constructing a scenario tree spatiotemporal diagram of the target interaction action; calculating the scenario weight of each scenario in the target interaction action and the resource weight of the target interaction action based on the scenario tree spatiotemporal diagram; determining the comprehensive assessment index of the target interaction action based on the interaction parameters of the target interaction action; and using the scenario weight, resource weight, and comprehensive assessment index as the assessment result of the target interaction action. This application achieves a comprehensive evaluation of the interaction action as a whole, improving the comprehensiveness of the assessment of the effectiveness of ship interaction actions.

This evaluation device comprises: a depth information acquisition unit that acquires depth information indicating the distance between an observation means for observing a monitoring space and an object present in the monitoring space; an orientation information acquisition unit that acquires orientation information including the position and orientation of the observation means at the time when the depth information is acquired; a parameter acquisition unit that acquires a characteristic parameter of the observation means; and a calculation process unit that generates, for each of a plurality of voxels obtained by dividing the monitoring space, voxel data having registered therein attribute information indicating whether the voxel is in a dead angle or can be observed from the observation means on the basis of the depth information, the orientation information, and the characteristic parameter.

The invention discloses an equipment evaluation method and device, equipment and a storage medium. Simulated eyeball movement is controlled according to theoretical positions corresponding to a plurality of continuous test points, and an actual eye movement direction vector during simulated eyeball movement is acquired through to-be-tested eye movement tracking equipment; determining a theoretical rotation matrix between the adjacent test points according to the theoretical position, and determining an actual rotation matrix between the adjacent test points according to the actual eye movement direction vector; and calculating a relative angle error matrix between the theoretical rotation matrix and the actual rotation matrix, and evaluating the to-be-detected eye movement tracking device according to the relative angle error matrix. According to the method and the device, the relative angle error matrix between the theoretical rotation matrix and the actual rotation matrix of the adjacent test points is determined through the relative position difference matrix error calculation mode, so that the to-be-tested eye movement tracking equipment is evaluated according to the relative angle error matrix, and the precision of the to-be-tested eye movement tracking equipment is accurately evaluated.

To provide an evaluation device capable of evaluating a blur correction performance of an imaging apparatus based on a determination of whether or not an inputted oscillation waveform is different from a vibration waveform of the actually oscillated imaging apparatus.SOLUTION: An image evaluation device comprises: an imaging apparatus including a blur correction function; an oscillation control section which oscillates the imaging apparatus based on an input waveform; a vibration detection section which detects vibration of the imaging apparatus; comparison means which compares the input waveform to a waveform of a vibration detection result detected by the vibration detection section; and imaging evaluation means for performing an imaging evaluation which is an evaluation of the blur correction function based on an imaging result of a subject by the imaging apparatus. In a case where it is determined by the comparison means that a differential of the waveform of the vibration detection result with respect to the input waveform is within a predetermined range, the imaging evaluation means performs the imaging evaluation.SELECTED DRAWING: Figure 1

The present invention provides a device evaluation method, which mainly includes the training and testing of a probabilistic neural network and the specific evaluation process. Multiple different probabilistic neural networks are trained and tested based on the index data of the equipment. 85% of the data is selected as the training sample set and 15% as the test sample set. The output of the probabilistic neural network is transformed into evidence by improving the evidence theory, and a reliability factor is designed to correct each probabilistic neural network. The basic probability assignment decision method is used to determine the final evaluation result of the equipment to be evaluated. The present invention uses a probabilistic neural network to solve the evaluation result, avoiding the influence of subjective factors. Compared with other types of neural networks, the learning process of the probabilistic neural network is simple, the convergence speed is fast, and the output layer is replaced with a softmax layer to perform classification output in the form of probability, ensuring the intuitiveness of the output result. After each network is corrected by the evidence reliability factor, the reliability of the evaluation result is greatly improved.

The application provides a kind of power system source network load storage flexibility resource regulation ability evaluation method and equipment, and evaluation method includes the following steps: constructing flexibility resource regulation model, according to system total load, variable coefficient, new energy output, nuclear power base load and flexibility resource regulation model respectively calculated to obtain remaining load interval, maximum climbing demand, regulation power interval and maximum climbing power;Comparison of remaining load interval and regulation power interval evaluates the power regulation capability of power system source network load storage;Comparison of maximum climbing demand and maximum climbing power evaluates the climbing capability of power system source network load storage.The power system source network load storage flexibility resource regulation ability evaluation method and equipment provided by the application are used to evaluate the power regulation capability and climbing capability of power system, can identify power system operation risk, evaluation result is specific and quantified, provides optimization direction for flexibility resource configuration, and has strong applicability.

This evaluation device (10) comprises: an information collection unit (11) that collects software source code; and a code evaluation unit (13) that gives an instruction regarding risk assessment of the source code to a large language model (LLM) and sets the answer from the LLM as an evaluation result.

Provided is an evaluation device 100 which evaluates the performance of a predetermined object W to be evaluated while changing temperature conditions, said evaluation device 100 comprising: a heating furnace 1 that has an in-furnace space 1s which accommodates the object W to be evaluated; a temperature adjustment mechanism C that carries out temperature adjustment by heating or cooling the object W to be evaluated or the surroundings of the object W; a temperature acquisition unit 34 that acquires the temperature of a plurality of points of the object W to be evaluated or a plurality of points around the object W; and a temperature adjustment mechanism control unit 35 that controls the temperature adjustment mechanism C so as to keep the absolute value of the difference between the plurality of temperatures which have been obtained by the temperature acquisition unit 34 a predetermined value or less.

This invention discloses a method, apparatus, medium, and equipment for evaluating printing and packaging equipment, belonging to the field of data processing technology. It includes acquiring multi-source data of the target equipment; wherein the multi-source data includes basic information data, operating status data, cost data, and market data; based on the multi-source data, acquiring quantitative parameters of the target equipment's status; and based on the quantitative parameters of the status, acquiring a comprehensive evaluation index of the target equipment; wherein the comprehensive evaluation index is used to guide the retention evaluation of the target equipment. This invention utilizes multi-source data to achieve equipment evaluation, integrating multi-dimensional data such as basic equipment information, operating status, cost, and market data for evaluation. This avoids the one-sidedness of single-dimensional evaluation and solves the problem of data silos. By quantifying the equipment status into parameters based on multi-source data and achieving a comprehensive evaluation of the equipment based on these parameters, it can provide more accurate and comprehensive data support for the retention evaluation of printing and packaging equipment.

To conduct a simple and efficient risk assessment of potential risks in sewage treatment facilities. [Solution] The evaluation device (1) includes a first acquisition unit (141) that acquires multiple types of influence parameters, a second acquisition unit (142) that acquires multiple types of risk parameters, and an evaluation score calculation unit (143) that calculates an influence evaluation score by weighting each of the multiple types of influence parameters acquired by the first acquisition unit, and also calculates a risk evaluation score by weighting each of the multiple types of risk parameters acquired by the second acquisition unit.

The invention discloses a transformer comprehensive monitoring device evaluation method and system considering dynamic weight, and belongs to the technical field of power equipment state evaluation. The method comprises the following steps: establishing a mapping relation for evaluation factors and comments of the comprehensive monitoring device of the transformer, and constructing an evaluation factor set based on the evaluation factors so as to construct a comment set based on preset comments; constructing a judgment matrix based on the evaluation factor set and the evaluation language set, constructing a dynamic weight set based on the judgment matrix, performing consistency check on the dynamic weight set, and obtaining a check score; and determining a test item score based on the test score and the test score table, and determining an evaluation result of the transformer comprehensive monitoring device based on the test item score. The evaluation result of the comprehensive monitoring device is obtained in combination with the detection score of the inspection item, accurate detection of the comprehensive monitoring device on the state of the transformer is facilitated, and the effectiveness of the comprehensive monitoring device is improved.

To properly display the state of electric power or fluids in a plant.SOLUTION: A plant equipment evaluation system is configured to store first data pertaining to multiple pieces of equipment in a plant, calculate second data for displaying a graph for at least one of the multiple pieces of equipment, based on the first data, and display the graph based on the second data. The plant includes a heat supply source for supplying electricity to an electricity recipient and supplying heat to a heat recipient, and has a function as a heat supply source. The graph includes: a first quadrant having a first axis representing quantity of heat and a second axis representing temperature, and showing a relationship between the quantity of heat transmitted by a fluid or a solid in the heat recipient and a fluid or solid temperature; a second quadrant having a first axis representing quantity of heat and a second axis representing temperature, and showing a relationship between the fluid temperature and the quantity of heat received by the fluid in the heat supply source; and a third quadrants having a first axis representing quantity of heat and a second axis representing electric power, and showing a relationship between the quantity of heat supplied by the heat supply source and the electric power supplied by an electricity supply source.SELECTED DRAWING: Figure 2

This evaluation device calculates a privacy risk of each piece of data included in a data set used for training a machine-learning model. In addition, the evaluation device calculates a gain that a user has obtained by providing the data to the data set. For example, the evaluation device calculates how much the accuracy of the machine-learning model is improved by using the data for training. In addition, the evaluation device calculates, as an inequality degree, the difference between the gain estimated from the privacy risk of the data and a user gain obtained by providing the data, and evaluates the inequality degree of the machine-learning model by using the calculated inequality of each of the users.

To provide an evaluation technique for quantitatively evaluating an idea presented in a workshop.SOLUTION: An evaluation device 1 includes: a natural language processing unit 11 that performs processing idea information submitted in a workshop in natural language and extracts a plurality of phrases; a calculation unit 12 that calculates, for each phrase, a first score related to a social issue, a second score related to a disaster issue, and a third score related to feasibility using a corresponding first database 17A, second database 17B, and third database 17C, respectively; and an evaluation unit 13 that calculates a first score total, a second score total, and a third score total obtained by summing the first score, the second score, and the third score of each phrase as an evaluation value of the idea information.SELECTED DRAWING: Figure 1