16 results about "DEVICE EVALUATION" patented technology

A computer-implemented method includes: receiving, by a computing device, an input prompt; routing, by the computing device, the input prompt to one or more restructuring routes; restructuring, by the computing device, the input prompt to provide a restructured input prompt to reduce tokens; evaluating, by the computing device, the input prompt to the restructured input prompt to determine that thresholds are met; and sending, by the computing device, the restructured input prompt that meets the thresholds to a large language model.

The present application relates to a kind of OPGW cable health condition evaluation method, comprising: S1: collection OPGW cable equipment evaluation index data;S2: according to the first weight of index data numerical distribution calculation;S3: according to the correlation between each index data calculation second weight;S4: according to the first weight and second weight, obtain fusion weight;S5: determine OPGW cable health state index value, assess cable health state.The present application according to the first weight of index data numerical distribution calculation;According to the correlation between each index data calculation second weight;According to the first weight and second weight, obtain fusion weight;Determine OPGW cable health state index value, assess cable health state.The algorithm of the present application can accurately evaluate the health state of OPGW cable, and provide reasonable and effective theoretical support for the equipment state management and routine operation of OPGW cable.

The application relates to the technical field of electrical equipment evaluation, in particular to a multi-dimensional electrical equipment stability evaluation method and device for new energy power grid connection, which comprises the following steps: based on a multi-dimensional evaluation index system, collecting multi-dimensional index data of a target electrical equipment, performing feature enhancement processing, and generating processed enhanced features; based on a grid connection power fluctuation coefficient and an equipment operation stage coefficient of the target electrical equipment, adjusting the weight proportion of each dimension and corresponding indexes in the multi-dimensional index data to obtain dynamic weights; inputting the processed enhanced features and the dynamic weights into an evaluation model combining fuzzy comprehensive evaluation and Markov chain prediction, performing stability evaluation on the target electrical equipment for new energy power grid connection, and outputting a stability evaluation result of the target electrical equipment. Therefore, the problems that in the related art, prospective decision support cannot be provided for preventive maintenance and grid connection scheduling, and it is difficult to guarantee the safe and stable operation of the power grid under high-proportion new energy access are solved.

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.

This invention discloses a server deployment method, apparatus, electronic device, storage medium, and program product. Specific implementation includes: determining a deployment task and a server to be deployed as indicated by the deployment task; determining a startup mode corresponding to the server to be deployed based on the deployment task; determining a basic configuration file corresponding to the server to be deployed based on the startup mode; determining a file to be deployed based on the startup mode and the basic configuration file; and downloading the file to be deployed to the server to be deployed. By determining the deployment task through a device evaluation platform, automatic deployment of the server to be deployed is achieved. Determining the basic configuration file ensures consistency during deployment by the device evaluation platform. Downloading the file to be deployed to the server simplifies the deployment process, reduces manual operations, and provides a stable and reliable operating environment for upper-layer services.

This application provides a data processing method and apparatus for distribution ring main units (RNBs), applied in the field of power system data processing technology. By collecting operational data from the RNBs and identifying their operating modes, it enables the selection of a suitable data processing model based on the operating mode. The selected model is then applied to process the data, outputting equipment health status assessment results and anomaly detection results. The model's parameters are adjusted based on the assessment results, determining whether the data processing model's performance meets actual conditions or preset standards. Therefore, this application solves the technical problem of decreased accuracy in complex dynamic environments using existing methods. It offers the advantages of improving data processing accuracy, reducing data processing error rates, and dynamically adjusting parameters to adapt to different operating modes of the RNBs, thereby improving assessment reliability.

According to an embodiment of the present disclosure, disclosed is a method for evaluating qualities of electrocardiogram data and diagnosing a disease only with a signal having an excellent quality. Specifically, according to the present disclosure, a computing device evaluates qualities of electrocardiogram data obtained from a plurality of leads, excludes electrocardiogram data obtained from at least one lead among the plurality of leads based on the evaluation of the qualities of the electrocardiogram data, and performs electrocardiogram analysis based on remaining electrocardiogram data by using a pre-learned electrocardiogram analysis model.

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.

This invention discloses a testing device and evaluation method for balloon coating adhesion and in vitro drug release rate, belonging to the technical field of vascular interventional device evaluation. It includes an in vitro release performance testing device; the in vitro release performance testing device comprises: a media liquid constant temperature circulation device, a pulse generator, a flow control unit, a testing operation platform, and an defoaming and particle capture unit connected in sequence. Based on the special circumstances of testing under simulated human body flow conditions, this invention uses a gas-driven diaphragm pulse generator and an electro-proportional valve to adjust and achieve a pulse flow environment under physical conditions.

To provide an appraisal device and appraisal system that can ensure the objectivity of appraisal of trading cards. [Solution] In the appraisal device 1, the processing unit 5 stores defect information, including the type and location of the defect, and evaluation information entered in the input unit 4, in association with the client and the trading card in the storage unit 3, and displays an image on the appraisal screen with defect markers superimposed on the defect location of the virtual card. The web server 6 receives requests for appraisal information of trading cards from an external information terminal held by the client via the internet network 30, reads the appraisal information corresponding to the requesting client and trading card from the storage unit 3, sends it back to the information terminal, and displays a screen including an image with defect markers superimposed on the virtual card.

A device obtains modelling data associated with energy consumption of a model vehicle. The modelling data are generated by a digital model of the vehicle in operation. The device obtains operating data associated with energy consumption of the vehicle in operation. The device compares the operating data to the modelling data. Based on a result of the comparing, the device detects a discrepancy between the operating data and the modelling data and associated with the energy consumption. The device evaluates the detected discrepancy associated with the energy consumption. The device triggers an operation when the discrepancy has been detected.

Device (1) for testing a connection point (2) of an electrical installation, comprising: - a connection means (12) for connecting the device to the connection point (2), - a load test means for performing a load test of the connection point and determining load test measurement values, - an evaluation means for evaluating the load test measurement values ​​and creating a load capacity assessment, and - one or more display means (13, 14) for displaying the load capacity assessment, characterized in that a control means is provided and is configured to: • detect the connection of the device to a connection point, and, • after a successful connection has been detected, without establishing a connection with other devices, to perform a load test using the load test means and to determine load test measurement values.and• to evaluate the load test measurements using the evaluation device and to create a load-bearing capacity assessment, and• to display the load-bearing capacity assessment using the display device(s).

This application discloses an adaptive health assessment method, device, and medium for multi-condition equipment, relating to the field of industrial equipment assessment technology. The method includes: performing density clustering on operational index data to determine the number of operating conditions for the industrial equipment; based on the number of operating conditions, performing multi-condition switching judgments for each operating condition within the corresponding assessment period to obtain the operating condition segments corresponding to each operating condition within the assessment period; constructing operating condition feature vectors corresponding to the operating condition segments, and performing operating condition matching on the operating condition feature vectors through trend similarity calculation to determine the operating condition type corresponding to the operating condition segment; calculating the kernel density adaptability score corresponding to each operating condition segment based on health index data; and calculating the industrial equipment health corresponding to each kernel density adaptability score through kernel density differential bandwidth matching. This application solves the technical problems of inaccurate operating condition switching judgments and lack of specific differences in operating conditions in existing multi-condition equipment health assessments.

A method for automatically calibrating an assessment model for a user device may include accessing an automated conversion engine and a first assessment model trained to determine a target assessment result using a set of eye-tracking features data captured at a first sampling rate. Using the automated conversion engine, the set of eye-tracking features data may be input into a time series, the set of eye-tracking features data may be generated at a second sampling rate based on one or more components or processors of the user device, and a calibrated assessment model specific to the user device may be formed using the set of eye-tracking features data at the second sampling rate.

A method and apparatus for handover failure recovery based on network indication is provided. A wireless device receives one or more candidate cell configurations for one or more candidate cells. The one or more candidate cells include one or more primary candidate cells and one or more secondary candidate cells. The wireless device receives a cell switch command triggering mobility to a primary candidate cell from among the one or more primary candidate cells, and executes a mobility to the primary candidate cell. The wireless device evaluates a failure of the mobility, and upon detecting the failure of the mobility, executes a mobility to a secondary candidate cell from among the one or more secondary candidate cells.

Embodiments of the present application provide a kind of mood recognition method, electronic equipment and storage medium, belong to artificial intelligence technical field.The method comprises: according to the processor frequency, the power level of the pre-set electronic equipment is evaluated.Original mood recognition model is divided into intermediate model section.According to the power level, the target sparsity of each intermediate model section is calculated, and the intermediate model section is compressed to obtain compressed model section according to the target sparsity.According to the processor processing bit width, the weight of compressed network is grouped to obtain weight grouping, and the weight grouping is packaged as target model section.Determine current model section from each target model section, load current model section to the shared memory of pre-set electronic equipment, carry out mood recognition based on pre-set face image by current model section, and eliminate the model section of last loading from shared memory.This application can be compatible with electronic equipment of different hardware configurations, to realize the efficient local operation of mood recognition.