4results about How to "Efficient grading" patented technology

The invention discloses a method and system for detecting the internal quality of a polyethylene pipeline hot-melt welding joint, and belongs to the technical field of pipeline quality detection.The method comprises the following steps that before a tensile test is carried out, ultrasonic quality detection is carried out on a casual inspection joint of a polyethylene pipeline set to be detected; dynamically determining an initial tensile rate based on the material grade and the material attribute parameter of the to-be-tested polyethylene pipeline group, and executing a first tensile test at the initial tensile rate; iteratively and dynamically adjusting the tensile rate of the tensile test of the next casual inspection joint based on the tensile test result of the previous casual inspection joint until the tensile test of each casual inspection joint is completed; dynamically executing fracture quality detection based on the fracture position and the fracture characteristic parameter of each spot check joint to obtain a fracture quality detection result of each first joint; and executing internal quality comprehensive detection based on the ultrasonic quality detection result, the fracture quality detection result and the tensile test result of each first joint.

The application discloses a method for grading defects of ancient building wall wood columns based on multi-source data fusion and machine learning, which comprises the following steps: building a wood column apparent feature information collection device to realize wood column defect image collection and enhancement processing; designing and building a wood column internal defect data collection device to collect micro drill resistance data and process the data; measuring wood column entity missing data and integrating the data into the micro drill resistance data; expanding the data set and fusing multi-source data sets; selecting wall wood column defect grading indexes, determining defect grading standards and grading defects of ancient building wall wood columns; taking the grading results as labels, establishing a GWO-RBF neural network model and grading wood column defects based on machine learning. The application fuses multi-source data, utilizes a machine learning neural network model and realizes accurate, rapid and non-destructive grading detection of wood column defects.

The invention relates to the technical field of abandoned mine recovery evaluation, in particular to an abandoned mine natural recovery evaluation method based on ecological element collaborative characteristics, and the method comprises the steps: obtaining data; performing primary judgment; performing secondary judgment; and finally carrying out collaborative judgment. And adjusting a threshold value and generating an evaluation report. According to the method, the vegetation coverage is rapidly and preliminarily identified; secondly, evaluating the internal recovery potential of the starting area from the dimensions of provenance, microorganism, hydrological connectivity and the like; and finally, for the potential-sufficient region, accurately judging a system which is still fragile in function and a health system which has formed stable self-maintenance capability by quantifying water and soil vegetation process coupling, a biological interaction network and anti-interference capability, and dynamically adjusting an initial threshold value based on the time sequence stability of a classification result of each region. The whole evaluation system has a data-driven adaptive capability, and the problems of low evaluation result accuracy and response speed lag caused by single evaluation dimension are effectively solved.

The utility model discloses a kind of dispersing cooling machine for asphalt mixture, belong to asphalt recycling technical field, the equipment includes rack, is equipped with crushing device, dispersing device, cleaning assembly and cooling assembly on rack.Crushing device is broken material by two reverse rotation's rotary roller and staggered crushing tooth disc, cooperate limiting tooth plate and clean adhering asphalt on tooth disc;Dispersing device is divided chamber by filter screen, realizes classification screening when conveying roller conveys material, and plug plate device guides different granularity material and discharges from corresponding discharge port;Cleaning assembly is driven by electric push rod to swing along guide rail by cleaning scraper, cooperate bristle and clean screen filter hole;Cooling assembly is sprayed by water pump to the cooling water of water storage tank body through spraying channel, realizes material cooling and screen flushing cooperation.The utility model solves the problem of existing equipment crushing adhesion, low screening precision, screen easy to block, low cooling efficiency, can improve processing efficiency and continuity, reduce energy consumption and maintenance cost.