14 results about "Homogeneity index" patented technology

The invention belongs to the technical field of ultrasonic nondestructive testing, and relates to a rubber vulcanization degree online monitoring method based on an ultrasonic array, which comprises the following steps: generating a stable acoustic coupling interface on the surface of rubber to be detected; a multi-path composite sound field composed of a short-range high-density path and a long-range crossed path is constructed in the rubber to be measured; forming a multi-channel synchronous sound wave response data set; calculating the similarity of signal waveforms originating from the adjacent probe pairs which are densely arranged in parallel in the multi-channel synchronous sound wave response data set to obtain an acoustic homogeneity index; calculating a sound wave propagation velocity to obtain an average propagation sound velocity; generating a vulcanization state feature vector representing the microcosmic homogeneity and macroscopic rigid coupling state in the current vulcanization process; and determining the absolute vulcanization degree in the current rubber material. According to the method, the problem that a process procedure based on fixed time cannot adapt to performance fluctuation between batches of raw materials, tiny difference of equipment states and temperature gradient in a mold is solved.

The application provides a kind of high vacuum oven system with dynamic temperature regulation of cellular, it relates to kitchen utensils and control system technical field, the application is divided into center hot area, edge hot area and key material contact area by high vacuum oven cavity, real-time acquisition each area temperature, infrared radiation intensity and local pressure data;Temperature variation, pressure disturbance and radiation deviation are analyzed using multi-physical field coupling model, the calculation of temperature control uniformity index, thermal vacuum coupling index and radiation compensation index, and according to the preset threshold value to generate closed-loop regulation strategy, realize the dynamic control of regional heating power, vacuum pump power and adjustable emissivity.The system can effectively improve the cavity temperature control balance, thermal vacuum stability and radiation uniformity, ensure the precision and thermal uniformity of the baking process, suitable for high-precision baking and high-temperature drying process in the field of kitchen utensils.

The application discloses a power system distributed photovoltaic access under the power distribution network homogeneity planning method, including the homogeneity analysis model based on the source load prediction result and the power distribution network planning model based on the homogeneity, the homogeneity analysis model based on the source load prediction result is based on the existing source load prediction result to the existing network calculation structure homogeneity index and the current-carrying homogeneity index, and the output thereof, the power distribution network planning model based on the homogeneity is to the structure homogeneity index and the current-carrying homogeneity index of the to-be-planned model as input, under the given substation configuration and layout, the total operation economic cost is lowest as the target to the distribution network planning, the planning result is output, the purpose of comprehensively considering the operation safety and the economy of the distribution network is achieved, so as to solve the problem that the fluctuation and the uncertainty of the existing planning model are not considered multiple source loads and the influence on the operation of the distribution network.

The invention discloses a multi-target coupling geographic layering method and system based on spatial continuity constraint. The method comprises the following steps: firstly, carrying out quality screening on geographic indexes and interpretation factor data; then, an initial population is generated through an NSGA-II algorithm, and each individual represents a layering scheme defined by hyperplane parameters; for each scheme, synchronously calculating q statistics (measuring intra-layer homogeneity), an adjacent homogeneity index and a block form index of the geographic detector, and jointly taking the q statistics, the adjacent homogeneity index and the block form index as a target function of multi-target optimization; performing population evolution through non-dominated sorting, crowding degree calculation, binary crossover simulation and polynomial variation, and introducing a simulated annealing mechanism to enhance the global search capability; and finally, performing spatial smoothing on an optimization result through a self-adaptive window model, and outputting a geographic layering result which not only meets statistical significance but also keeps spatial continuity, so that the problems of spatial splitting and fragmentation in a traditional method are effectively solved.

The application discloses a multi-target coupling geographical stratification method and system based on spatial continuity constraint, which firstly carries out quality screening on geographical index and explanatory factor data; subsequently, an initial population is generated by adopting an NSGA-II algorithm, and each individual represents a stratification scheme defined by a hyperplane parameter; for each scheme, a geographical probe q statistic (measuring homogeneity in the layer), an adjacent homogeneity index and a blockiness index are synchronously calculated, and are collectively used as a target function of multi-target optimization; population evolution is carried out through non-dominated sorting, congestion calculation, simulated binary crossover and polynomial mutation, and a simulated annealing mechanism is introduced to enhance the global search capability; finally, spatial smoothing is carried out on the optimization result through an adaptive window model, and geographical stratification results meeting statistical significance and maintaining spatial continuity are output, so that the spatial fragmentation and fragmentation problems in the traditional method are effectively solved.

The invention relates to the technical field of watershed division, and discloses a medium and small watershed multi-scale division analysis method, device and equipment and a storage medium. The medium and small watershed multi-scale division analysis method comprises the steps of performing scale division on a target area according to a plurality of preset watershed division scales to obtain a plurality of target watersheds corresponding to each preset watershed division scale; for each preset drainage basin division scale, performing clustering processing on the plurality of target drainage basins based on the drainage basin data of the target region to obtain a target drainage basin set corresponding to a plurality of clustering categories; for each clustering category, calculating a data homogeneity index of the drainage basin sub-data set; and determining a target drainage basin division scale from a plurality of preset drainage basin division scales based on the data homogeneity index and the category number of the clustering categories, and performing drainage basin division on the target region based on the target drainage basin division scale. According to the method, the accuracy and the scientific objectivity of basin division can be improved.

The invention relates to the technical field of radiation monitoring, and discloses an accelerator solid target beam uniformity real-time radiation monitoring system, which comprises a polarization characteristic sequence acquisition module, an environment compensation calibration module, a polarization angle distribution analysis module, a uniformity analysis module, an environment sensitivity analysis module and a comprehensive monitoring report generation module, the method comprises the following steps: firstly, acquiring a polarization characteristic sequence corresponding to a solid target receiving beam, performing environment compensation calibration on the polarization characteristic sequence based on the temperature and magnetic field intensity of an accelerator vacuum chamber to obtain a calibrated polarization characteristic sequence, decomposing the calibrated polarization characteristic sequence to obtain a polarization angle distribution parameter, and calculating the distribution uniformity of the polarization angle distribution parameter; and obtaining a uniformity index, performing environment correlation analysis in combination with the uniformity index to obtain an environment sensitivity index, and finally generating a comprehensive monitoring report. According to the invention, the accuracy of real-time radiation monitoring of the beam uniformity of the solid target of the accelerator can be improved.

This invention discloses an elastic deformation modeling system for organ displacement during CyberKnife treatment, relating to the field of radiotherapy technology. It includes a data acquisition module for collecting static anatomical data, dynamic displacement data, and stiffness distribution data of the target organ; a dynamic registration module for constructing a heterogeneous elastic deformation field of the target organ through deformation modeling and a registration engine; a tracking and prediction module for acquiring real-time displacement of the target organ, predicting deformation trends, and obtaining predicted deformation data; a treatment planning integration module for acquiring 4D dose distribution data, calculating conformity and homogeneity indices, and evaluating and optimizing the dose; and a feedback control module for outputting motion compensation commands to the CyberKnife robotic arm, performing beam correction when the displacement exceeds a preset threshold, and adjusting the robotic arm's posture. This invention solves the problem of radiation deviation from the target area during CyberKnife treatment, improving the safety and therapeutic effect of radiotherapy.

This invention relates to the field of magnetron sputtering coating monitoring and control technology, and more specifically, to an intelligent monitoring method for the uniformity of magnetron sputtering coatings on solar collector tubes. The method includes: constructing a transmission-type acousto-optic caustic monitoring environment; acquiring caustic images and inverting them to obtain transient acoustic pressure distribution; performing singularity analysis on the pressure distribution using the box-counting method to calculate the microscopic inhomogeneity index of the coating layer; generating airflow pulse commands by combining the real-time acoustic resonance frequency of the inter-tube cavity; and driving a standing wave gas knife to inject pulsed gas into the inter-tube gap, using the wave interference principle to block the parasitic hollow cathode effect. This invention, through acousto-optic inversion and fractal topology filtering, achieves precise quantification and online closed-loop suppression of invisible micro-arc discharge lattice damage, significantly improving coating uniformity.

The application relates to the technical field of radiation monitoring, and discloses a real-time radiation monitoring system for the beam current uniformity of an accelerator solid target, which comprises a polarization characteristic sequence acquisition module, an environment compensation calibration module, a polarization angle distribution analysis module, a uniformity analysis module, an environment sensitivity analysis module and a comprehensive monitoring report generation module. First, the polarization characteristic sequence corresponding to the beam current received by the solid target is acquired; the polarization characteristic sequence is compensated and calibrated based on the temperature and the magnetic field intensity of the accelerator vacuum chamber, so that the calibrated polarization characteristic sequence is obtained; the calibrated polarization characteristic sequence is decomposed, so that the polarization angle distribution parameters are obtained; the distribution uniformity is calculated, so that the uniformity index is obtained; the environment correlation analysis is carried out in combination with the uniformity index, so that the environment sensitivity index is obtained; and finally, the comprehensive monitoring report is generated. The application can improve the precision of real-time radiation monitoring of the beam current uniformity of the accelerator solid target.

The invention relates to the technical field of remote sensing interpretation, in particular to a cross-spatial-scale training data construction method and device based on priori knowledge, equipment and a medium. The method comprises the following steps: segmenting a high-resolution remote sensing image to obtain a high-resolution segmented object set; calculating a core homogeneity index based on the high-resolution segmentation object, and selecting a highly homogeneous object; and configuring a dominant priori category for the highly homogeneous object by taking the coarse resolution priori data as a priori knowledge reference layer so as to obtain training data. According to the method, the coarse-resolution remote sensing data containing the annotation information is used for efficiently annotating the high-resolution remote sensing image, the value of existing data is fully explored, the cost and time consumption are reduced, and the training efficiency of the high-resolution remote sensing image interpretation model is improved. In addition, the method can also ensure the accuracy of high-resolution remote sensing image annotation, and further improve the interpretation accuracy of the high-resolution remote sensing image interpretation model.

The invention belongs to the technical field of image processing, and particularly relates to a honey water bath decrystallization filtering effect detection method based on image processing, and the method comprises the steps: obtaining a honey liquid level image, extracting a plurality of micro target points, and determining the maximum radial boundary and angle sampling total number of each micro target point to construct a polar coordinate light intensity matrix; calculating a global light intensity integral and a light intensity difference value of adjacent angular sampling points based on the polar coordinate light intensity matrix to obtain an angular light intensity coherence index; obtaining a radial attenuation contrast according to the calculated light intensity of the core condensation area and the light intensity of the edge total reflection area; calculating a solid state coefficient according to the angular light intensity coherence index and the radial attenuation contrast; based on the relation between the solid state coefficient and the set blocking limit, the possible crystal residue number is obtained, and whether the detection reaches the standard or not is judged. According to the invention, fluid microbubbles and real tiny crystals are effectively distinguished, and the reliability of automatic quality control detection of honey is obviously improved.

The invention relates to a granule uniformity evaluation method based on multi-parameter measurement, which comprises the following steps of: acquiring a granule image and measuring the area standard deviation of granules through image analysis; weighing the granules one by one and measuring the quality standard deviation of the granules; the thermogravimetric decomposition temperature of the granules is measured, and the standard deviation of the thermogravimetric decomposition temperature is calculated; measuring the residual mass percent of the granules, and calculating the standard deviation of the granules; and calculating the homogeneity index of the granules, wherein the homogeneity index is the weighted sum of the area standard deviation, the quality standard deviation, the thermogravimetric decomposition temperature standard deviation and the residual mass percentage standard deviation of the granules.

The present application belongs to the technical field of ultrasonic nondestructive testing, and relates to a rubber vulcanization degree online monitoring method based on an ultrasonic wave array, comprising the following steps: generating a stable acoustic coupling interface on the surface of the rubber to be measured; constructing a multi-path composite acoustic field in the interior of the rubber to be measured, which is composed of short-range high-density paths and long-range cross paths; forming a multi-channel synchronous acoustic wave response data set; calculating the signal waveform similarity of the multi-channel synchronous acoustic wave response data set originating from densely arranged adjacent probe pairs to obtain an acoustic homogeneity index; calculating the acoustic wave propagation speed to obtain an average propagation sound speed; generating a vulcanization state characteristic vector representing the coupling state of the micro-homogeneity and macro-rigidity in the current vulcanization process; and determining the absolute vulcanization degree in the interior of the current rubber material. The present application solves the problem that the process procedure based on a fixed time cannot adapt to the performance fluctuations between batches of raw materials, the slight differences in the equipment state, and the temperature gradient in the mold.