6 results about "Device Evaluation Method" patented technology

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 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.

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 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.

This invention relates to the field of photovoltaic equipment and discloses an artificial intelligence-based method and system for evaluating photovoltaic equipment. The method involves collecting distributed data from the photovoltaic equipment, preprocessing the distributed data to obtain preprocessed distributed data, performing data fusion processing on the preprocessed distributed data to obtain first data to be evaluated, performing dimensionality reduction on the first data to be evaluated to obtain second data to be evaluated, inputting the second data to be evaluated into an equipment evaluation model, evaluating the photovoltaic equipment through the equipment evaluation model, and outputting evaluation warning results. Based on the evaluation warning results, equipment warning information is generated and sent to personnel for inspection of the photovoltaic equipment. This invention uses artificial intelligence technology to evaluate photovoltaic equipment, improving the inspection efficiency and accuracy of photovoltaic equipment, providing warnings, extending the service life of photovoltaic equipment, and reducing labor costs.