6results about How to "Shorten the evaluation cycle" patented technology

The invention relates to the technical field of emergency drill evaluation, in particular to a chemical storage tank area fire emergency drill intelligent evaluation system and evaluation method.The multi-source monitoring terminal is arranged in a preset key area of a chemical storage tank area and used for collecting multi-dimensional sensing data of a drill site; the data transmission network is connected with the multi-source monitoring terminal and is used for transmitting the multi-dimensional sensing data in real time; and the background processing center is connected with the data transmission network and is used for receiving and processing the multi-dimensional sensing data. The effectiveness of fire extinguishing operation is quantitatively evaluated through an intelligent algorithm, accurate data support is provided, and the evaluation accuracy is improved; a detailed evaluation report is automatically generated, the evaluation period is greatly shortened, and the timeliness is improved; advantages and deficiencies of drilling are clearly pointed out, targeted improvement suggestions are provided, and emergency plan optimization is assisted; the thermal imaging technology penetrates through the smoke to monitor the temperature, and the dangerous area identification and fire behavior judgment capability is improved.

This invention relates to the field of image processing technology, and more particularly to a method and system for assessing the quality of prefabricated construction based on image processing. The method includes the following steps: after removing the EVA transport protective padding that came with the prefabricated construction components, a panoramic image of the component splicing surface is captured using an industrial camera to obtain an original image containing the natural adhesion marks of the padding; multi-scale edge enhancement processing is performed on the original image to extract the contour data of the adhesion marks, and the global flatness of the component splicing surface is calculated based on the deformation features of the contour data; an industrial camera is used in a ring array to capture images of the pre-reserved grouting holes in the components, and the grouting hole boundaries are extracted after contour sharpening processing of the images; the three-dimensional axis of the grouting holes is constructed by combining the reflective features of the inner sidewalls of the holes. This invention achieves accurate detection and standardized assessment of the quality of prefabricated components through multi-polarized light sources and ring camera imaging technology, ultimately improving the accuracy of construction quality assessment.

This invention relates to the field of testing technology for large ship propulsion systems, specifically to a test method and system for assessing the wear reliability of large water-lubricated bearings. This invention ensures the similarity in lubrication and cooling performance among three pairs of friction pairs tested—material test blocks, scaled-down samples, and full-scale prototypes—in terms of test objects. When comparing and analyzing wear, the influence of relative sliding speed on wear is simplified by using a linear velocity cyclic test design with the same time span, thus simplifying the wear rate model of the water-lubricated bearing. Compared to solely relying on the durability cyclic test data of the full-scale prototype, the addition of scaled-down sample tests reduces the randomness of test data, and the use of the maximum average wear value as input to determine the wear model of the water-lubricated bearing improves the engineering reliability of the assessment method. This invention can shorten the testing and assessment cycle for the wear reliability of large water-lubricated bearings, save testing costs, and provide highly accurate assessment results.

This invention discloses a method for assessing neutron irradiation embrittlement of metallic materials based on ion irradiation, comprising: S1, preparing hardness test specimens, tensile test specimens, and Charpy impact test specimens; S2, subjecting the hardness test specimens, tensile test specimens, and Charpy impact test specimens to neutron irradiation, and subjecting the hardness test specimens to heavy ion irradiation, determining the irradiation damage amount and irradiation damage rate; S3, calculating the first yield strength increment after neutron irradiation and the second yield strength increment after heavy ion irradiation; obtaining the third yield strength increment and the irradiation embrittlement transition temperature increment; S4, establishing a first relationship between the first yield strength increment and the neutron irradiation damage amount, a second relationship between the second yield strength increment and the heavy ion irradiation damage amount, and a third relationship between the third yield strength increment and the irradiation embrittlement transition temperature increment; S5, establishing an irradiation embrittlement correlation formula and calculating the irradiation embrittlement transition temperature increment value. This invention achieves accurate assessment of the irradiation embrittlement risk of metallic materials.

The invention discloses a hydrogen transmission pipeline steel crack accelerated propagation prediction method based on a multi-sample method, and belongs to the technical field of hydrogen energy infrastructure safety. According to the method, fatigue crack propagation testing is carried out in an inert environment and a high-pressure hydrogen environment through the multi-sample method, and a complete relation curve is obtained; hydrogen-induced crack propagation acceleration factors are calculated, and a multivariable coupling intelligent acceleration factor model is constructed; on-site dynamic monitoring data are integrated, and full-life-cycle dynamic prediction of full-size pipeline cracks from initiation to expansion is achieved; through typical load spectrum verification and incremental learning algorithm optimization model, the method overcomes the defects of long test period, high cost and limited precision of a traditional method, greatly improves the prediction precision compared with the traditional method, significantly reduces the test cost and evaluation period, adapts to complex working conditions, has a graded early warning function, and is suitable for large-scale popularization and application. And efficient and reliable technical support is provided for safety design, in-service evaluation and intelligent operation and maintenance of the hydrogen conveying pipeline.

The present application relates to a kind of highway photovoltaic power generation potential evaluation method and device based on unmanned aerial vehicle, method includes: by unmanned aerial vehicle, obtain highway along high-resolution multispectral image, laser point cloud and meteorological observation data;Data is automatically preprocessed and fused to generate feature dataset containing terrain, ground cover and weather information;Based on the dataset, the key factor that influences photovoltaic power generation is analyzed and quantified, and a standardized factor vector is formed;The factor vector is input into the prediction model constructed by the fusion of analytic hierarchy process and neural network, and the photovoltaic power generation potential of each evaluation unit and the whole road is calculated, and a visual evaluation report is automatically generated.The method effectively overcomes the problems of insufficient accuracy of traditional satellite remote sensing and low efficiency of manual survey, realizes efficient, accurate and comprehensive automatic evaluation of highway photovoltaic resources, and provides a reliable basis for photovoltaic project planning and decision-making.