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

The present invention discloses a mud-rock flow early warning method based on the rainfall-probability, belonging to the mountainous region calamity field. According to the contingent probability theory of the generation of the mud-rock flow, a construction method of an early waning index system through combination of the probability of reflecting the nondeterminacy of the mud-rock flow and the rainfall formed by the mud-rock flow is realized through combination of the calculation determination of test and theory calculating of the critical rainfall of the generation of the mud-rock flow and the calculation of the rainfall condition probability. The theory method is reliable, the calculation is scientific and rapid, and the early warning index is clear to solve the critical value problem of the starting of the mud-rock flow induced by the rainfall and reflect the nondeterminacy in the formation and motion processes of the mud-rock flow so as to improve the forecast reliability, accuracy and scientificity. The mud-rock flow early warning method based on the rainfall-probability can directly provide technical support for the monitoring early warning and forecast of the rainfall-type mud-rock flow.

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 method for measuring the volume water content of a critical soil body during debris flow and a debris flow happening pre-warning method. In order to overcome the shortcoming that the real-time soil body condition change of a pre-warning region can not be accurately reflected because the effective early rainfall serves as an indirect index in an effective early rainfall and real-time rainfall debris flow mode, the invention provides the method for measuring the volume water content of the debris flow critical soil body and a method for pre-warning the happening of the debris flow in a forming region by taking a method for measuring the volume water content of the critical soil body during the happening of the debris flow in the forming region of a debris flow drainage basin as a core by monitoring a coupled result of the volume water content of the current real-time soil body in the forming region and real-time rainfall data in real time. The methods are reliable in theories; a water content sensor is directly used for obtaining the real soil body water content; the debris flow is pre-warned according to the real-time rainfall change; the volume water content of the critical soil body is only required to be determined at first; the index is simple; and the suitability of the methods are high.

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 invention provides a network loss equivalence load model-based power flow calculation initial value setting method, which comprises the steps of carrying out network loss equivalence load model-based DC power flow iteration calculation on a power grid to obtain a DC power flow voltage phase angle phasor theta*<DC> of a power grid node; by employing the theta*<DC> as an initial value of a node voltage phase angle, calculating a voltage amplitude estimation value phasor V*<F> and a phase angle estimation value phasor theta*<F> of the node through a quick decoupling method; and evaluating the voltage amplitude estimation value phasor V*<F> and the phase angle estimation value phasor theta*<F>, calculated through the quick decoupling method, of the node to obtain a newton method power flow initial value. The network loss equivalence load model-based power flow calculation initial value setting method is conducive to improvement of the power flow convergence and has the advantages that DC power flow calculation is free of a convergence problem and calculation through the quick decoupling method is relatively simple.

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 heavy gas leakage diffusion and control study experiment method. The method comprises the steps of executing control technologies via orthogonal experiments to obtain key factors influencing properties and influence degrees; performing fine control experiments according to the obtained key factors to confirm a quantitative relation between the key factors and the influence degrees; performing heavy gas leakage diffusion and control experiments via orthogonal experiments to determine key factors influencing the concentration and distribution of heavy gas cloud under different conditions and influence degrees, tracing the direction of mass energy, disclosing a control mechanism, and seeking an acting relation among the control technologies; and establishing a mathematical model according to the obtained acting relation among the control technologies, key factors and influence degrees, and predicting evaporation rates and down-wind LFL (Lower Flame Limit) longest distance under different environmental conditions, leakage conditions and corresponding control technologies. The method has a very good effect on controlling LNG (Liquefied Natural Gas) leakage harm by studying various control technologies.

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 discloses a cavity filter with a cross coupling structure. The cavity filter comprises a three-cavity filter and a five-cavity filter, wherein cavities are connected, a dielectric resonant cavity spaced by an isolating wall is arranged in each cavity, a dielectric adjusting cover plate is arranged on the resonant cavity, an input metal port and an output metal port are formed in a pair of adjacent dielectric resonant cavities, and metal adjusting rods are arranged between other adjacent dielectric resonant cavities; a cross coupling connecting piece is arranged between the two non-adjacent dielectric resonant cavities, the connecting piece is a U-shaped metal rod piece, and the cavity bodies and the dielectric resonant cavities are subjected to cross coupling connection by the cross coupling connecting piece and the metal adjusting rods; the electric field formed between the dielectric resonant cavities can be conveniently adjusted by adjusting positions and sizes of theU-shaped metal rod pieces. According to the cavity filter, out-of-band rejection can be enhanced very well, and clutters are eliminated; the coupling structure is low in cost, simple to process, convenient to assemble and suitable for large-scale volume production and application.

The invention provides a method and a device for establishing a superficial sensory disturbance animal model. The method comprises the following steps: (1) establishing operant conditioned reflex avoiding noxious stimulation for animals; (2) preparing hemiplegia models for animals which establish conditioned reflex; and (3) only exposing the affected limbs of hemiplegia animals, and screening superficial sensory disturbance. The device is suitable for the method for establishing the operant conditioned reflex avoiding shock stimulation for animals, which comprises a box body, a circuit control device, and a shock device and a power-off device which are positioned at the bottom of a box. The method for establishing the superficial sensory disturbance animal model provided by the invention can accurately record the performance of animals in the process of experiments in detail and facilitate the collation and statistics of data, can establish a superficial sensory disturbance model of affected limbs of the animals after stroke, has the advantages of simple operation, accurate data, easy training for animals, short test cycle and the like; and the corresponding device has simple structure and easy operation.

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 discloses a method for evaluating the pre-processing effect of directly using straws as a raw material of efficient methane fermenting. The method comprises the following steps of: in a straw pre-processing process, sampling at different processing stages in the straw pre-processing process by different pre-processing methods; obtaining an evaluating index of the samples; and performing computer simulation evaluation on the samples trained according to a back propagation artificial neural network to evaluate the pre-processing effect of the straws at the different pre-processing stages, and selecting the optimal pre-processing method. In order to evaluate the straw pre-processing effect of various technology, techniques and promoting agents of domestic straw direct methane utilization, in the method, the effect of different processing schemes is comprehensively evaluated by building index systems, such as temperature (DEG C), Ph, T value, water-soluble carbon (WSC), cellulose content change (percent) and the like, which indicate straw pre-processing degree, and by using a BP artificial neural network model, so as to select the optimal pre-processing scheme.

The invention discloses an on-line remote detection method and device for detecting the state of a disc-type insulator, and the method comprises the steps: firstly obtaining contaminated conductance of a low-level end insulator of a monitoring insulator string through calculation; obtaining a representation value of insulator contamination through calculation, so as to represent the contamination degree of an insulator; building the relation between a proportion value Kn of an insulator voltage at a low-level end of the insulator string to an insulator string voltage and the contaminated conductance in a lab, and determining the number of zero-value insulators in the insulator string. According to the invention, the detection index of the zero-value insulators in the insulator string is very simple, and the number of the zero-value insulators is directly pointed out. When the number of insulators in the insulator string is large, several zero-value insulators are allowed to exist at the same time, thereby clearly pointing out the number of insulators. Moreover, the maintenance can be arranged according to the order of priority.

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 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 discloses a referral index of critically ill pregnant and lying-in women, which includes parameter acquisition, a data evaluation system and a referral suggestion. The referral index comprises the steps of: collecting six parameters including the systolic pressure, pulse, breathe, consciousness, platelet count and oxygen saturation of blood of a critically ill pregnant and lying-in woman; evaluating the six parameters according to the data evaluation system and calculating the pre-referral index; and providing a referral suggestion according to the index grade. The pre-referral index is used for the rapid quantitative evaluation of disease severity of critically ill pregnant and lying-in women by basic medical units so that the critically ill pregnant and lying-in women can be immediately transferred based on the referral index, thereby being beneficial to the improvement of rescue level of critical illness, and lowering the mortality rate of pregnant and lying-in women and perinatal fetuses.

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 an identification method, and specifically relates to a method for identifying the peanut producing area. The method is mainly used to identify the peanut producing area. The method comprises the following steps: using a qualitative or quantitative method to measure the independent variable of a grinded peanut sample, utilizing the independent variable factor to carry out model regression, establishing a peanut producing area judging model, and judging the peanut producing area according to the value of the variable; wherein the independent variable factor (Xj) is composed of seven fatty acids in peanut grease: hexadecenoic acid (C16:1), hexadecanoic acid (C16:0), linoleic acid (C18:2), cis-11-eicosenoic acid (C20:1), decosahedaenoic acid (C22:1), tricosanoic acid (C23:0), and pentacosanoic acid (C25:0). The provided method can effectively identify the peanut producing area (geo-tag), and is capable of guaranteeing the food safety, and providing theoretical references for peanut optimization planting. The provided method can also be applied to quality and safety control of agricultural products in China and has a wide application prospect.

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 belongs to the field of genetic breeding, and in particular relates to a method for screening and breeding excellent winter wheat plants. Typical varieties which are popularized to be planted in a large area in a variety replacement process are selected as test materials to be planted; agronomic characters, in particular stalk characters, are investigated, to fit a curve that the stalk characters are changed along the year; correlation coefficients of the stalk characters to the yield, the biomass yield and the harvesting index are inspected to perform multiple stepwise regression and path analysis on morphological characters of stalks and search key factors for seed yield; and three key factors for the seed yield include internode length below the spike, length of the last two nodes and dry weight of the internode.

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 invention discloses a method and a device for on-line remote detection of the state of a disc insulator. First, the contamination conductance of the low-potential end insulator of the insulator string at the monitoring point is calculated by calculating; the characteristic value of the contamination of the insulator is obtained after the calculation, which is used to represent the contamination degree of the insulator; The relationship between the insulator voltage at the low potential end of the insulator string and the ratio Kn of the insulator string voltage and the pollution conductance is established in the laboratory, and the number of zero-value insulators in the insulator string is determined; , directly indicating the number of zero-value insulators. When the number of insulators in the string is relatively large, it is usually possible to allow several zero-value insulators to exist at the same time, so that the number of insulators can be clearly indicated, and maintenance can be arranged according to the priority.

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 relates to a pop corn breeding method capable of increasing an expansion coefficient and improving a flower shape. The method comprises the following steps of selecting an original material, performing breeding, matching hybrids, and performing breeding by adopting a systematic breeding method and a second cycle line method to obtain small embryo and micro-embryo selfing lines. The method specifically comprises the steps that the original material is screened; a test material is planted; when the area of germ surface peel of corn seeds subjected to continuous multi-generation selection accounts for less than 1 / 5 of the surface area of the seeds or the oil content of the seeds is less than 2%, genotype immobilization is carried out to obtain a stable small embryo selfing lineor a stable micro embryo selfing line; according to hybrid matching, the small embryo and micro embryo selfing lines are used as parents; and matching is carried out to obtain a pop corn hybrid with ahigh expansion coefficient. By a small and micro embryo breeding way of reducing germs and increasing endosperms, a new pop corn variety with the high expansion coefficient is bred at high efficiency, high speed and low cost; and groups and comprehensive seeds can be used as the original material, and an existing excellent selfing line can be subjected to small germ improvement.

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.