34results 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 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 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 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 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 a method for screening indexes in an oxytocin intelligent infusion regulation and control system. The method comprises the following steps: determining all primary indexes in the oxytocin intelligent infusion regulation and control system and secondary indexes contained in each primary index; obtaining an importance assignment mean, a standard deviation and a variable coefficient of each first-level index to screen out the first-level indexes meeting a first predetermined condition; determining a secondary index contained in each screened primary index, and obtaining an importance assignment mean, a standard deviation and a variable coefficient of the secondary index contained in each screened primary index, so as to correspondingly screen out the secondary index meeting a second predetermined condition; and outputting each screened first-level index and the corresponding screened second-level index as a final result. By implementing the method, the data processing amount is reduced by screening the indexes in the intelligent uterine contraction infusion system, and the robustness and the efficiency can be improved.