36results about How to "Indicators are simple" patented technology

The invention discloses a method for estimating and calculating the strength of a power transmission pole tower material on the basis of a rough-fuzzy set. The method comprises the following steps of performing reduction on an index set by using a rough set theory; determining evaluation index weight by a method that subjective weight and objective weight are combined; according to an established evaluation order set, comprehensively evaluating and calculating the actual strength of the tower material by using a fuzzy mathematical method. The typical uncertain problem that the factorial validity affecting the strength of the tower material is not clear in an evolutionary process can be solved. The method can provide an important scientific criterion to the safety evaluation of an iron tower structure.

The invention provides SBS (stimulated brillouin scattering) modified asphalt and preparation method thereof, belonging to the technical field of road materials. The method comprises the following steps of: by utilizing heavy traffic paving asphalt as a raw material, melting and heating the heavy traffic paving asphalt to 180-200 DEG C, and then, adding an SBS modifier, three line cutting furfural extract oil and polyphosphoric acid into the smelted heavy traffic paving asphalt, shearing, adding a stabilizer, developing and stirring to prepare the SBS modified asphalt. According to the preparation method, the SBS modifier and the polyphosphoric acid are added to modify the heavy traffic paving asphalt, namely, the polyphosphoric acid substitutes a part of SBS modifier, so that the addition dosage of the SBS modifier can be reduced under a consistent part by weight of the heavy traffic paving asphalt, the addition dosage of the SBS modifier can be reduced for about 1-2%, the polyphosphoric acid is added to change the structure of the modified asphalt, the softening point of the prepared modified asphalt is higher than 80 DEG C, and other performance indexes meet related standards for different grades of SBS modified asphalt by the Ministry of transportation. The technique is simple, convenient to operate and suitable for industrial production.

The invention discloses a transmission tower material actual strength computing method based on data mining. A rough set theory is used for reducing a pole and tower strength influence factor set; a data mining method is used for mining useful data from a large number of historical data to establish a learning set; and according to the learning set, a gradient descent method is used for constant iterative learning to determine factor set weight, and through the obtained weight value, the degeneration rate of the actual strength of tower materials is subjected to comprehensive evaluation and computing. The problems of typical uncertainty and nonlinearity that during an evolutionary process, the validity affecting tower material strength factors is not clear can be solved through the method. The method can provide an important scientific criterion for transmission tower structure safety evaluation.

The invention relates to a discrimination method, in particular to a method for identifying the origin of agricultural products, which is mainly applicable to the origin identification of schisandra chinensis. Through qualitative and / or quantitative determination of the independent variable factor in the pulverized Schisandra chinensis sample, after regression using the independent variable factor model, determine the origin of the sample according to the level of the dependent variable; the independent variable factor (Xj) is δ15N, schisandra alcohol A content, schisandrin A content, schisandrin A content, schisandrin B content, B content, Sr content. Taking Schisandra chinensis as an example to carry out research on origin traceability technology, and to screen out "geo-tags" that effectively indicate the origin of Schisandra chinensis, it will not only help to ensure the safety of consumers' medicine and food, realize the protection of the origin of authentic medicinal materials, but also provide a theory for the optimal planting of Schisandra chinensis in accordance with. This technology can also be popularized and applied to the quality safety and control of agricultural products in our country, and has broad application prospects.

The invention discloses an experimental method for heavy gas leakage, diffusion and control research. The control technology itself is carried out through an orthogonal test to obtain the key factors affecting the performance and the degree of influence; the refined control experiment is carried out according to the obtained key factors to confirm the key factors. The quantitative relationship between the degree of influence and the degree of influence; through orthogonal experiments to conduct heavy gas leakage diffusion and control experiments, determine the key factors and influence degrees that affect the concentration and distribution of heavy gas clouds under different conditions, track the whereabouts of material energy, and reveal the control mechanism. Find the relationship between various control technologies; according to the obtained relationship between each control technology, key factors and degree of influence, establish a mathematical model to predict the evaporation rate under different environmental conditions, leakage conditions and corresponding control technologies, and the downwind direction LFL furthest distance. The invention has a very good effect on controlling the hazard of LNG leakage through the research of various control technologies.

The invention belongs to the field of biological medicine research, and particularly relates to a zebrafish embryo alcoholic liver detecting model and a construction method and application of the zebrafish embryo alcoholic liver detecting model. The transgenic zebrafish with liver specific expression fluorescent proteins is adopted by the method to construct a model of the alcoholic liver disease; the zebrafish embryo alcoholic liver detecting model is constructed by analyzing the information of swelling liver appearance, reduction of embryo yolk absorption amount, fluorescent reading and the like of the zebrafish. The model has the characteristics of simple observation index, easiness in observation, capability of being qualitative and quantitative and the like, and is especially suitable for being applied to high throughput screening of medicaments for preventing and treating the alcoholic liver.

The invention belongs to the technical field of plant cultivation and seedling and discloses a method for screening a variety with relatively-high phosphor utilization efficiency from multiple cut-flower chrysanthemum varieties. The method comprises the following steps of: a, acquiring a rooted spike; b, determining the screening concentration, respectively planting the multiple cut-flower chrysanthemum varieties into a plurality of sand culturing tanks, filling nutrient fluids with different concentrations, calculating a variable coefficient of dry weight of each treatment plant and selecting the treatment concentration with the maximum variable coefficient as the screening concentration; and c, carrying out sand culture screening, to be specific, setting two treatments on normal phosphor and low phosphor (the screening concentration determined by the step b), determining a proper screening index by difference significance and relevance analysis of each index; and by adopting a system clustering method, classifying the low-phosphor resistance of the cut-flower chrysanthemum and finally determining a variety with highest phosphor utilization efficiency and a variety with lowest phosphor utilization efficiency. According to the method disclosed by the invention, cut-flower chrysanthemum varieties can be finally screened and the reference and basis for cut-flower chrysanthemum cultivation, phosphor nutrition research and variety breeding work are provided.

The present invention is a construction method and application of neuroimaging marker morphological fusion classification index. The construction method includes the following contents: obtaining structural MRI data of M centers, extracting brain structural image characteristic data; performing independent training with the data of each center, respectively Establish the classification model of each center and obtain the classification model of M centers; for any sample, in the classification model of all centers, calculate the classification weight value of the sample in each feature of each model, that is, the SHAP matrix; then use each The sample size used in the training of each model is the weight, and a single morphological fusion classification index MICI value is obtained by calculating according to formula (1): where Si represents the sample size of model i, B represents the total number of features, and a i Represents the SHAP value of feature a in model i, i=1~M. The MICI value can well realize the discrimination between patients with mental illness and normal people, and has good interpretability, evolution and scalability.

The invention provides an application method of a node voltage stability index of a multi-infeed AC / DC system. The node voltage stability index of the multi-infeed AC / DC system provides a comprehensive, integrated and effective quantitative index for the large-disturbance voltage stability degree in a multi-DC drop point region, has the similarities of employing the bus short-circuit capacity as a denominator and considering the influence of a multi-loop DC in comparison with an existing multi-infeed short-circuit ratio index, but also considers the region load influence, the voltage stability effects of various dynamic reactive compensation devices and the like as a comprehensive and integrated large-disturbance voltage stability degree measurement index; and these integrated factors are weighted as molecules according to the dynamic reactive demand condition. The multi-infeed AC / DC system provided by the invention is concise and clear in voltage stability index under the large-disturbance condition and convenient to apply, provides the comprehensive, integrated and effective quantitative index for the large-disturbance voltage stability degree in the multi-DC drop point region, and can provide important reference indexes for power network planning, multi-loop DC access, system stabilizing measures designation and the like.

The invention discloses a shallow rainfall landslide early warning method based on the water content of unsaturated soil, which belongs to the field of mountain disasters. According to the unsaturated soil mechanics theory, hydrology theory and landslide stability analysis theory, the present invention solves the stability coefficient of the landslide unsaturated soil in real time in combination with the real-time monitoring of the volumetric water content of the landslide soil, and establishes an early warning based on the stability state specified in the specification. Based on the indicators, a real-time early warning method for shallow rainfall landslides under unsaturated conditions is realized. The method of the invention is reliable in theory and method, scientific and convenient in calculation, and the early-warning index is based on specifications, which not only solves the problem of applicability of the unsaturated failure mechanics mechanism of shallow rainfall landslide in pre-alarming, but also improves the reliability, accuracy and scientificity of forecasting. The invention can directly provide technical support for stability analysis and monitoring and early warning of shallow rainfall landslide.