71 results about "Species groups" patented technology

The invention belongs to the technical field of treatment of environment pollution, and more specifically relates to a modular system for purification of a polluted river water body and application of the same. The modular system mainly comprises a biological grating module, an elastic filling material adsorption bed module, a microbial ecological decomposition suspending bed module and a sunken plant ecological purification suspending bed module. The biological grating module is composed of a framework, sunken plants, floating plants and emerged plants; the elastic filling material module consists of a framework structure, hydrophilic elastic filling materials and hydrophobic elastic filling materials; the microbial bed module comprises a framework structure, a micropore aeration mechanism and microbes; and the sunken plant purification bed module is composed of the species group of sunken plants and a bed body. According to the invention, the position of the polluted river water purification modules in a water body can be adjusted according to pollution degrees of the water body; the modular system can effectively purify water quality of a polluted river water body and a black and odorous river water body and reduce river pollution load; therefore, the invention is of significance for purification of river water bodies.

The invention discloses a three-dimensional human body motion tracking method based on quantum immune clone algorithm. The tracking process comprises: detecting articulation points of the human body in a two dimension picture in a unary picture sequence with human body gesture existing, using a kalman filter to predict the articulation points not detected, and simultaneously establishing a three-dimensional human body model; applying quantum immune clone algorithm in human body tracking, initializing species group, setting initial parameters of human body motion, then carrying out clone operation, performing operation of immunizing genes and immunoselection to generate a new species group; substituting the state parameters of the new species group in the three-dimensional human body model, using likelihood function to calculate the distance affinity, retaining the optimal solution, performing multiple times of substitution and calculation to obtain the ideal human body motion parameters to restore the three-dimensional human body gesture. The invention has the advantages of lower calculation cost and capable of obtaining three-dimensional human body gesture quickly, and is applicable to tracking of human body motion gesture in scene monitoring, motion analysis and health assessment.

The invention provides an orthogonal frequency division multiplexing (OFDM) system subcarrier allocation method based on SGA in wireless transmission technology field. Firstly, the invention obtains channel status information of each user on different subcarriers, according to channel estimation; and then, transfers SGA for optimum subcarrier allocation; wherein the SGA adopts integer coding and cyclic shift scissor to improve search capability; after fitness function computation of species group with generic variation each time, continues to judge whether the algorithm should stop, according to the termination condition and obtains the subcarrier allocation proposal. Compared with prior art, the invention improves system performance greatly and the advanced SGA in the invention has faster velocity of convergence, compared with the traditional SGA.

The invention discloses a dynamic flight path planning method based on adaptive mutation genetic algorithm, comprising the steps of: generating an initial species group at random and calculating the degree of adaptability thereof; counting feasible solutions E(t) in the species group and performing elite preservation operation; performing intersection, mutation, insertion and deleting operations on non-feasible solutions S(t); calculating the degree of adaptability of a transitional species group composed of the operated E(t) and S(t); obtaining individuals and the feasible solutions generated at random in the individuals by E(t) single point random mutation in order to replace the non-feasible solutions in the transitional species group; judging whether the evolution reaches the extent that an algebra selected according to the complexity of problem or the species group is converged; and if so, taking the optimal invividual in the species group as the planned flight path. The method of the invention can improve the variety and convergence capacity of the species groups; a feasible solution path can be provided for the problem of time-varying dynamic optimization for the dynamic flight path planning.

The invention discloses a chemical engineering process modeling method of an RNA genetic algorithm with remodeling operation, which has the following steps: 1) actual input and output sampling data is obtained by on-site operation or experiment, and then the sum of the absolute value of the error between the estimated output and the actual output of a chemical engineering process model is used as the objective function of the RNA genetic algorithm for optimization research; 2) algorithm control parameters is set; 3) the RNA genetic algorithm with remodeling operation is operated to do estimation for the unknown parameters of the chemical engineering process model, then the estimated value of the unknown parameters of the chemical engineering process model is obtained by the minimized objective function, and the estimated value of the unknown parameters is substituted into the chemical engineering process model to form a mathematical model of the chemical engineering process. The excellent genes of original species group is preserved when the diversity of the species group is increased effectively, thereby avoiding the defects of the premature convergence of traditional genetic algorithm and the convergence of locally optimal solution better.

The invention discloses a method for splitting images based on clustering of immunity sparse spectrums, mainly solving the problem that a spectrum clustering method has poor stability and high complexity. The method comprises the following steps: (1) extracting features of images to be split; (2) normalizing feature data to eliminate the magnitude effect among data; (3) carrying out real coding onthe normalized feature data; (4) randomly generating initial species groups of the coded data and calculating the affinity; (5) cloning based on the affinity size of an antibody; (6) carrying out Gaussian mutation on the cloned antibody species groups and selecting the antibody of the highest affinity as an input for the next round; (7) iterating the set maximum iterations to obtain a final selected sample subset; (8) carrying out greed spectrum dimensionality reduction on the selected sample subset, clustering the dimensionally reduced data and outputting the final image splitting result. Compared with the prior art, the method has the advantages of no need of priori knowledge, high accuracy and low calculation complexity. The method can be used for object detection and object identification.

The invention uses genetic algorithms to realize dynamic channel allocation (DMA). By contrast, a nonlinear method is more suitable for nonlinear characteristics of the reality and for parallel arithmetic, can be flexibly transferred to fit various wireless channel allocation technologies; the invention is additionally characterized that channel performance is collectively estimated and channel resources are equally distributed so as to comparatively improve the comprehensive utilization ratio of the channel resource. The invention adopts carrier frequency, time slot, spread spectrum codes and the angle of wave beam as genomes to realize chromosome coding; the operating procedure is that a sliding window is used for filtering a species group to form a vector X which equals (CF3, C, F2, CF1, CF0, TS2, TS1, TS0, SF3 ,SF2, SF1, SF0, BS2, BS1, BS0), and then the genetic algorithms, such as hybridization, variation, etc., are selected to realize the dynamic allocation and optimization of the channel.

The invention relates to a method and a system of a coverage-driven random verification of an integrated circuit; the method comprises the following steps: step 1, an initial species group is generated, and the current species group is initialized as the initial species group; step 2, a verifying procedure is generated according to the current species group, and the verifying procedure is executed by an instruction set simulator and a to-be-verified design, whether the to-be-verified design is accurate is determined by comparing two executing results, and a coverage rate report is obtained at the same time; step 3, individual adaptability of the current species group is calculated according to the coverage rate report, and whether the current species group meets optimization criteria is judged according to the adaptability, if yes, the verification is finished, if not, the step four is executed; step 4, an excellent individual in the current species group is chose as a father individual according to the adaptability, and an intersect object of the father individual is chose for carrying out intersection operation to generate a new individual which is composed of a next species group, and the current species group is updated into the next species group, and the step 2 is carried out. The method and the system can automatically optimize the verifying procedure.

The invention discloses a compressed sensing image reconstruction method based on a principal component analysis (PCA) redundant dictionary and direction information. The compressed sensing image reconstruction method based on the PCA redundant dictionary and the direction information mainly solves the problem that in an existing compressed sensing reconstruction method OMP, a reconstructed image under a blocking compressed sensing framework has blocking effect and fuzzy texture. The compressed sensing image reconstruction method based on the PCA redundant dictionary and the direction information comprises the following steps: constructing the PCA redundant dictionary; receiving measurement matrixes and blocking measurement vector quantities, and judging category of an image block to be reconstructed according to each blocking measurement vector quantity; designing a species group initialization scheme and a sequencing cross operator based on the direction information on each image block to be reconstructed, and using a genetic algorithm and a clone selection algorithm to achieve reconstruction of each image block under the PCA redundant dictionary. Compared with an OMP method, the compressed sensing image reconstruction method based on the PCA redundant dictionary and the direction information has the advantages of being capable of seeking an optimum sparse representation of each image block from the overall situation under the PCA redundant dictionary, clear in texture and edge of the reconstructed image, and capable of being used for acquiring a high quality image in the process of reconstructing images under the blocking compressed sensing framework.

The present invention discloses a method for producing the compound micro-organism microbial inoculum that is used for degrading the waste gas of VOCs. Firstly, culture medium containing the triphenyl substance is adopted to naturalize the active mud that is taken from a sewage treatment plant; the active dirt that is obtained in the domestication way and has high degrading performance is used as the mixed strain to be inoculated to the microbial inoculum carrying material, and the compound micro-organism microbial inoculum can be obtained after the solid fermentation culture. The preparing method comprises the steps of domestication of the active mud, mixing of the microbial inoculum carrying material at a giving ratio and the solid fermentation culture, so that the preparing method is simple, and the cost is low, and the advantages that the species group of the active mud mixture micro-organism is rich, the bacteria group structure is reasonable, and the microbial inoculum favors the long-term storage are effectively combined. Since the preparing method is used for preparing the target pollutant, the domestication time in the actual application of the waste-gas organism treatment can be shortened, and the rapid startup of the reaction device can be accelerated. The active mud rapid-startup waste-gas organism purification reactor can be substituted, so as to realize the high-efficient degrading of the target pollutant.

The invention provides a feature selection method for complex pattern classification. On the basis of the traditional genetic method, the method allows a species group to be divided into a plurality of sub-species groups by improving the structure of the species group into a dicyclic intelligent agent network configuration. Information is passed among the sub-species groups through the sharing intelligent agent. The genetic evolution of all sub-species groups is conducted simultaneously. The improved dynamic neighborhood competitive operation and the neighborhood adaptive crossover operating method improve the efficiency of the genetic evolution. At the same time, binary coding mode is introduced to express whether a certain feature is selected or not, thereby facilitating coding and decoding, and achieving the high efficient feature selection. Compared with the traditional feature selection, the feature selection method has the advantages of higher adaptability, and quick search in feature space with high dimension and multimodal, thereby effectively avoiding being trapped in local extremum and acquiring relatively satisfied feature selection results.

The invention relates to a method for improving genetic algorithm structural optimization efficiency, namely a method introducing individual identification codes, comprising the following steps: initializing a species group and an evolutionary history list; calculating the individual identification codes of the current species group; judging whether the individual is an overlapping individual according to the individual identification code; analyzing the structure of the new individual by means of finite element method; updating the evolutionary history list; evaluating the fitness of the overlapping individuals and the new individuals undergoing structural analysis and obtaining corresponding fitness; judging whether the algorithm is finished, if no, obtaining a new species group by carrying out selection, intersection and variation on the species group, and turning to the start step to operate circularly. The invention adopts the individual identification method to solely mark a chromosome with an identification code, thus avoiding the structural analysis of overlapping individuals, decreasing the amount of calculation effectively, improving the calculating efficiency of genetic algorithm structural optimization. The invention can be widely applied to optimization problems in various fields of discrete structures based on genetic algorithm.

The invention discloses a method for detecting cattle ANGPTL4 gene single nucleotide polymorphism, comprising the following steps of: carrying out PCR proliferation on a cattle ANGPTL4 gene by using a cattle whole-genome DNA to be detected as a template and using a primer pair P as a primer, wherein the cattle whole-genome DNA to be detected includes an ANGPTL4 gene; digesting a product subjected to PCR proliferation by using restriction enzyme MspI, and carrying out polyacrylamide gel electrophoresis on a proliferated segment subjected to enzyme cutting; and authenticating the polymorphism of the single nucleotide in the 1422nd position of the cattle ANGPTL4 gene according to the result of the polyacrylamide gel electrophoresis. Because the ANGPTL4 gene function relates to four important growth characteristics of weight, daily gain, body slanting length and chest circumference, the method provided by the invention lays the foundation for establishing the relation of SNP (Single Nucleotide Polymorphism) of ANGPTL4 gene and the growth characteristics so as to be convenient for mark assisted selection (MAS) of the growth characteristic for Chinese cattle meat and rapidly establishes cattle species groups with excellent genetic resources.

The invention relates to a directional mating and breeding method in Eriocheir sinensis breeding, comprising the following steps of: referring to the Eriocheir sinensis standard GB / T19783-2005, selecting male and female Eriocheir sinensis individuals with mature gonads from different species groups in the first ten-day period of November as parents, after labeling, breeding the male and female Eriocheir sinensis individuals separately, and strengthening cultivation; in the last ten-day period of November, pairing and putting the parents subjected to cultivation strengthening into cylindrical net cages weaved by polyethylene soft plastic, wherein each cylindrical net cage is 50 cm in diameter and 60 cm in height, and the salinity of water is 0.209; distributing a male crab for each net cage, wherein the ratio of female to male of full sib directional mating is 1:1, and the ratio of female to male of half-sib directional mating is 2: 1 or 3: 1; putting the obtained egg-carrying crabs into a 2*667 m<2>*1.5 m outdoor soil pond for overwintering cultivation; in the middle ten-day period of April of next year, pumping out the water in the pond to catch the egg-carrying crabs, putting the egg-carrying crabs into cylindrical net cages weaved by polyethylene soft plastic, wherein the cylindrical net cages are respectively 20 cm in diameter and 50 cm in height and are respectively arranged in net boxes in size of 3*2*1.5 m in other soil ponds respectively, and one egg-carrying crab is arranged in each net box; after the culturing of young crabs is finished, taking out the parents, and performing soil pond cultivation for the juvenile crabs according to the Eriocheir sinensis artificial breeding standard SC / T1099-2007.

The invention discloses an industrial process modeling forecasting method oriented at a flow object. The method comprises the following steps: building FNT models, extracting an industrial flow object original data set S from a data warehouse which has already been generated by the flow object, creating an initial species group of the FNT models, and customizing the individual numbers of the species group as required, wherein each individual represents an FNT model; utilizing the PIPE algorithm for optimizing FNT model structures, and adopting mean square errors or root-mean-square errors for fitness functions; utilizing the particle swarm optimization (PSO) algorithm for optimizing FNT model parameters; utilizing the FNT models for conducting modeling forecast for a flow object production process. According to the method, based on the flexible neural tree, an equation of variation tendency among measuring point data of the flow object is obtained, the industrial production process is simulated, based on relevant parameters of a current production state, production states in a period of time in the future are forecast, so that an enterprise is assisted and instructed for adjusting the production process parameters, and the production is guided for drawing on advantages and avoiding disadvantages in a microcosmic sense.

The invention discloses an aircraft aerodynamic configuration optimum design method based on the improved parallel DE algorithm. The method is used for achieving aircraft aerodynamic configuration optimum design. According to the method, different DE algorithm patterns are integrated in a pattern pool, and therefore the DE pattern selection range is expanded; besides, a dynamic parameter pattern is newly adopted, and more effective research on a large area of unknown solution spaces can be achieved through the pattern. In the iteration process, test vectors are generated through mutation operation and interlace operation; individual codes in a species group are reduced to corresponding aircraft configurations, the CFD computational analysis process is introduced to an individual fitness evaluation stage and serves as a basis for selection on a new generation of individuals, therefore, the design result analysis process and the parameter modification process can be effectively combined, and the design cycle is shortened; offspring groups are generated through selection operation. In view of the characteristic that the computing amount in the aircraft aerodynamic configuration design process is large, the parallel computing mechanism is introduced into the method, and therefore the method greatly shortens algorithm running time and improves design efficiency.

The invention discloses a kit used for a paternity test of giant pandas. 68 allelic genes of 11 STR gene loci, obtained by microsatellite study, of the giant pandas are taken as typing standard substances, and parameters of annealing temperature and magnesium ion concentration in a PCR process of the STR gene loci are optimized, wherein the typing standard substances correspond to the allelic genes of the gene loci one by one, so that the microsatellite typing can be performed accurately. The kit of the invention can perform the paternity test and genetic monitoring accurately on species groups of captive giant pandas, complete genealogy, reorganize blood relationship and provide very useful molecular markers for the study in the aspects such as the molecular evolution of the giant pandas, the population migration and the behavioral ecology of wild giant pandas and the like in future, and has very significant theoretical and practical significance on the formulation and implementation of the conservation and breeding plans of rare species.

The invention relates to a screening method of dominant hybridization species of German mirror carps and discloses a screening method of the dominant hybridization species of carps. The invention provides an effective screening method of the dominant hybridization species of the German mirror carps so as to ensure the genetic diversity of hybrids thereof, thus reducing the workloads, shortening the breeding period, decreasing the breeding cost and improving the success rate of selective breeding. The screening method includes the following steps: 1. morphological marker; 2. microsatellite molecular maker; and 3. data analysis. The method screens the dominant hybridization species of the German mirror carps by combining the morphological marker and the microsatellite molecular marker. The genetic differences between the species are dually tested and the screening results are more accurate.

The invention relates to a micro-satellite DNA molecular marker for cervine animals. The molecular markers can be used for identifying allelic polymorphism, identify same or related cervine animals, distinguish the cervine animals and research the genetic diversity of the species group. The molecular marker can also be used for the genetic and phenotype research utilizing a statistics method such as linkage analysis, association mapping, linkage imbalance. The information can be used for breeding and / or selecting plants.

The invention discloses a susceptible / resistant MUC 13 molecular marker capable of identifying F4 weaning brash of piglets of western pig breeds and application thereof to genetic improvement of pig breeds. The molecular marker firstly identifies single nucleotide polymorphism (SNP) A157G, and then adopts a SNaPshot method to perform genotype judgment on the SNPA157G. The invention detects a polymorphic site through modern molecular biology technology, utilizes the marker assisted selection (MAS) to select advantageous allelotype reserved individual breed, can obviously improve weaning brash resistance of species groups, and greatly reduces the death rate of the piglets.

The invention discloses a method and system for selecting the feature of cotton heterosexual fiber target image. The method includes: conducting the gene encode for the to-be-selected color feature, shape feature and texture characteristic of the cotton heterosexual fiber target image by using the sectional type binary encoding project and generating the initial species group randomly; calculating the sufficiency of the individual in the initial species group; selecting the initial species group according to the sufficiency to obtain new species group; conducting the sectional intersect and variation for the individual in the new species group to produce new individual and substitute original individual, calculating the sufficiency of the new individual; judging whether the sufficiency conforms to the stopping condition; if the sufficiency conforms to the stopping condition, encoding the individual with highest sufficiency to obtain the optimum feature subclass of the cotton heterosexual fiber target image. In the invention, the overlay of different feature in the cotton heterosexual fiber target image is realized, the optimum feature subclass with the optimum classifying capability is selected, thus being beneficial for the subsequent realization of the quick right classification of the heterosexual fiber.

The invention discloses an artificial safe survival method of platysternon megacephalum in winter, comprising the following steps of: paving disinfected mud-sand mixture in a disinfected container, with the mass ratio of the mud to sand in the mud-sand mixture to be 1: 1 and the thickness of the mud-sand layer to be 5-20 cm; disinfecting the platysternon megacephalum going to be in winter sleep with 0.1% of potassium permanganate solution for 15-30 min; putting the platysternon megacephalum on the mud-sand layer in the container; adding water containing 0.5-0.85 g / cu.m EM fungicide, with the depth of water to be 5-20 cm; putting the container in a dark and quite environment; keeping the temperature at 1-20 DEG C; and replacing the water containing 0.5-0.85 g / cu.m EM fungicide in each week in order to keep the water fresh until the winter sleep is over. The method is simple and easy in operation and has low cost and small investment. The healthy rate of the platysternon megacephalum treated by the method is more than 95%, and the yield is more than 98%; the method has obvious effect and lays the foundation for culturing artificial species groups; therefore, the method has good application prospective.

The invention relates to an animal geographical zoning method based on species spatial distribution relations, and aims to establish a species relation network according to the overlapping area proportion of a spatial distribution range so as to identify similar species groups and form a species geographical division map. According to the method, an overlapping area proportion is determined by adopting overlapping analysis according to the distribution range and overlapping range of any two specie; indexes reflecting spatial distribution similarity are established, and a species correlation matrix is established accordingly; a species relationship network graph is generated on a graph model according to the species correlation matrix, and a community detection method is applied onto the relationship network graph to detect a plurality of closely associated species clustering communities; and finally, communities to which image pixels belong are counted according to mapping precision, so that a species geographical division map can be obtained. According to the method, the species spatial distribution range is quantified into species relations, so that the species division map to obtain can be obtained; compared with a conventional regionalization method mainly depending on expert knowledge and experience, the method is reasonable, and meanwhile, can well identify species groupsaggregated in a small range.

The invention discloses mosquito attractant and a preparation method thereof. The mosquito attractant consists of 1-octene-3-alcohol and beta-cyclodextrin; and the weight ratio of the 1-octene-3-alcohol to the beta-cyclodextrin is: (0.5 to 2.5):(7.5 to 24.69). The weight ratio of the 1-octene-3-alcohol to the beta-cyclodextrin is: (0.5:9.5), (0.63:9.37), (1:9), (1.5:8.5), (2:8), (2.5:7.5) or (1.66:24.69). Approved by experiment, the mosquito attractant has attractive activities for culex tritaeniorhynchus and anopheles sinensis, mosquitoes can be attracted by smell substances which are volatilized by the attractant, and the mosquito attractant can be used for the species group monitoring and attraction and prevention of the culex tritaeniorhynchus and the anopheles sinensis.

The invention discloses a bactrocera dorsalis hendel attractant, wherein the prescription of the attractant is a hydrolysate obtained by enzyme hydrolyzing soy protein and saccharomyces verevisiae protein according a certain ratio under some condition. The attractant not only is good for the environmental protection and the fruit safety, but also can prevent from environment pollution, and can not threaten human health and natural enemy of the bactrocera dorsalis hendel. The attractant has simple preparation method and low preparation cost, and can lead the hydrolysate to stably keep higher attractive force. The attractant has good attractive function to the female and fame bactrocera dorsalis hendel, thereby being capable of controlling the amount of species group of the bactrocera dorsalis hendel, reducing damage rate, and having good popularization meaning.

The invention discloses a squirrel-cage elastic support, which is characterized in that a sleeve is provided with a plurality of oval grooves. The invention also discloses a design method for the squirrel-cage elastic support, which comprises the following steps: firstly, determining the radius, length, thickness, volume, material elastic modulus and rigidity factor of the sleeve; establishing an equivalent simplified model of the squirrel-cage elastic support in finite element software, and setting the radius of the long axis of the oval grooves Var 1, the radius of the short axis of the oval grooves Var 2 and a cage bar number Var 3 as three variable parameters; establishing an optimizing model of a sleeve structure of the squirrel-cage elastic support; and setting the species group size, random seed generating probability, mutation probability, crossover probability and genetic algebra parameters, and performing optimal design by adopting genetic algorithm. The squirrel-cage elastic support adopts a design of the oval grooves, has less design variable, and solves the problem of easy stress concentration of rectangular holes on root parts of cage bars in the prior art; and the provided design method can improve the situation of uneven rigidity in various directions along the circumference of the structure, and realizes the optimal design of the rigidity and the stress.

A method for shooting a group photo of an unmanned aerial vehicle, which relates to the field of unmanned aerial vehicles, solves the problem that the existing unmanned aerial vehicle must manually control the unmanned aerial vehicle to fly to the target position when taking pictures, and completes the technical deficiencies of the target composition, including the following steps: (1) ) Use face detection to frame all the faces in the picture; (2) Through face recognition, lock the target face in the picture; (3) Establish a coordinate system to solve the position of all faces in the picture (x, y, z ) (4) Screen out the expected face (5) Determine the key face frame according to the screened out expected face; (6) Solve the UAV target according to the position of the key face frame and the face aggregation frame in the target composition target plane. The present invention can realize that the UAV automatically completes the group photo person selection and composition, simplifies the UAV photo-taking process, makes the photo-taking process more intelligent, and improves the user's photo-taking experience.

The invention discloses a breed conservation method for Sansui ducks. The breed conservation method for the Sansui ducks is characterized by including the first step of establishing Sansui duck original species groups, collecting hatching eggs from more than five villages and towns in a Sansui duck main aquiculture area, carrying out disinfection and hatching on the hatching eggs after egg selection, duckling selection and mature duck selection, preserving the Sansui ducks with obvious varietal characteristics, wherein families are set up among the 120-day-old Sansui ducks according to the proportion of one male duck to ten female ducks, and each family includes twenty female ducks and two male ducks to form a zero-generation species group, the second step of carrying out family-tree hatching, that is, labeling family numbers, male duck poultry rings and female duck poultry rings, arranging egg laying boxes, collecting the hatching eggs at a set time, carrying out hatching with the individual families as the unit and labeling the family numbers and female duck numbers on ducklings, and the third step of reserving breeding ducks in a random equivalent mode, wherein according to the requirements of 'reserving the ducklings equivalently in all the families and carrying out random apolegamy', every two years is regarded as one generation, the breeding ducks are selected and reserved according to the proportion of twelve female ducks to one male duck when the ducklings grow to 120 days, and new families are merged totally and randomly reestablished according to species groups of the selected and reserved breeding ducks.

The invention discloses a method for investigating bird damages of a high-tension transmission line. The method comprises the following steps of: observing and recording species, quantities, discovery sites, ceasing positions, habitats of birds existing in the range of a belt transect, and species, nest types, nest materials, sizes, positions and use conditions of nesting birds on a pole of the transmission line by taking the high-tension transmission line as the belt transect and taking the widths by 50m on both sides of the high-tension transmission line as the width of the belt transect; measuring the length of the belt transect; and completing the investigation within 4 hours after sunrise, wherein the investigation period at least comprises a first half part and a second half part of a spring breeding season, and a first half part and a second half part of an autumn migration season. By the method, observation and simple measurement are primary, various bird damages existing on the conventional high-tension transmission line are detailedly and completely investigated, species group distribution, life habits, activity rules and damage degrees are found out, the cause of formation of the bird damages is analyzed, and a scientific basis is provided for preventing and controlling the bird damages of the high-tension transmission line.

The invention provides a hierarchical reinforcement learning task graph evolution method based on a cause-and-effect diagram. The method comprises the following steps of: (1) carrying out parameter setting; (2) exploring a cause-and-effect diagram in a target environment; (3) carrying out initialization on a species group N; (4) calculating a fitness value; (5) carrying out genetic operation, wherein the genetic operation comprises selection, intersection and variation; and maintaining the cause-and-effect relationship between nodes in the operation; (6) judging whether to stop; (7) saving K task graphs G1, G2,..., Gk with the highest fitness corresponding to the cause-and-effect diagram; and (8) outputting the task graph G1 with the highest fitness. Compared with the prior art, the automatization and high efficiency of the task graphs constructed by the method of the invention can be suitable for large-scale complex systems and can be applied to the dynamic change situations of the system environment. The method provided by the invention only depends on the changes of the cause-and-effect diagram of the target environment, predicts the task level changes of the target environment when the cause-and-effect diagram of the target environment is changed regularly, and rapidly and efficiently generates an MAXQ task graph.