425 results about "Population" patented technology

The invention discloses an improved vibration compensation method suitable for an atom interference gravimeter. The method comprises the following steps: acquiring an atom interference signal and a vibration voltage signal output by a seismometer; initializing population parameters of the improved whale optimization algorithm, wherein the population parameters comprise a search space of a population size, a maximum number of iterations, a gain coefficient K and a delay coefficient tau; the method comprises the following steps: generating an initial whale population by adopting a method of combining Logistic chaotic mapping and Latin hypercube sampling LHS; calculating a phase shift caused by vibration noise and an atomic interference phase delta phi, and calculating the fitness of the whale individual by taking a root-mean-square error of compensated interference fringes as a target function; iteratively updating the population position through an improved whale optimization algorithm, outputting an optimal gain coefficient and an optimal delay coefficient, and obtaining an atomic interference signal after vibration compensation; according to the atomic interference gravimeter vibration compensation method, the global search capability, the local development precision and the stability of a vibration compensation algorithm are improved.

The invention provides a digital twinborn monitoring, regulating and controlling method for a copepod bait biological domestication process. The method comprises the following steps: establishing a micro-ecology and population dynamics coupled twinborn model, and defining a monitoring parameter and control object unified term system; collecting multi-source sensing data at an edge end, and performing clock synchronization, signal denoising and state estimation to obtain a micro-ecology, group and water body state joint estimation result; executing parameter online identification based on state estimation, and constructing a safety constraint set of ammonia nitrogen, dissolved oxygen, death rate, environment change rate and the like; the breeding efficiency improvement and the system stability balance are realized through a multi-objective optimization function; and generating a micro-ecological pulse and environment gradual change cooperative control action set according to a solving result, and when a set condition is met, outputting a domestication prescription and terminating the process. Intelligent, low-stress and high-stability regulation and control of a copepod domestication process are realized through digital twin modeling, rolling predictive control and a self-evolution updating mechanism.

The invention relates to the field of molecular genetics, in particular to a cynomolgus monkey specific SNP site combination, a liquid chip and application of the cynomolgus monkey specific SNP site combination and the liquid chip, 1508 cynomolgus monkey specific SNP sites disclosed and screened by the invention have high polymorphism, and rapid identification, paternity identification and lifelong tracking identification of cynomolgus monkey individuals can be realized. Liquid phase chip design is carried out on the sites, chip inspection is carried out on 383 cynomolgus monkey samples from three different groups, the result shows that the average site detection rate is 99.47%, and it is indicated that the liquid phase chip has excellent site capturing efficiency. According to the method, the genetic detection capability and accuracy of the cynomolgus monkeys can be greatly improved, the genetic detection cost can be remarkably reduced, and an important technical support is provided for improving the breeding management of the cynomolgus monkeys and optimizing the population structure.

The invention relates to the technical field of multi-modal fusion, in particular to a sperm quality assessment method and system based on multi-modal fusion, and the method comprises the following steps: obtaining image and parameter data to generate a space-time alignment set, extracting trajectory calculation linearity, analyzing parameter fluctuation to mark an abnormal time window, extracting an image assessment deformity rate to generate a feature matrix, and grading to generate a multi-modal sperm quality evaluation result. According to the method, linear calculation is introduced in the trajectory path extraction process, spatial distribution thermodynamic mapping is combined, the dynamic characteristics of local sperm populations are dominated, an abnormal time window is constructed based on the parameter value change rate and a set threshold value, and motion consistency indexes are combined, so that the dynamic characteristics of the local sperm populations are optimized. The explanation depth of sperm head malformation data in quality judgment is enhanced, the dimension space of sperm quality description is effectively expanded, the consistency ratio between vitality and morphology is introduced, track continuous characteristics are combined, a hierarchical grading system is established, and the accuracy of sperm quality evaluation results is ensured.

The invention discloses a bird condition information statistical method fusing bird detection radar data and a transect method, and solves the problems that the bird population density cannot be counted and the radar data and the artificial investigation data are not fully fused when the bird detection radar data and the artificial investigation data are fused in the existing method. Fusing the enhanced data set with the bird population density, extracting the features of the data fusion set by the target recognition model based on the micro-Doppler features, and outputting a statistical result of the bird situation information in the bird flock; according to the invention, the target identification model achieves the precise evaluation of the statistical result of the bird condition information through the fusion of the bird detection radar data and the transect method, and can effectively reduce the uncertainty in the statistical process through the fusion of the enhanced data set and the bird population density with the bird population density as the prior probability. Therefore, the accuracy of bird condition information statistics is improved, and the stability and reliability of the target recognition model can be improved by using the enhanced data set.

The invention discloses a remote monitoring system based on bird species identification and population number estimation, which comprises a front-end monitoring subsystem, a data transmission subsystem, a data analysis and processing subsystem and a user interaction subsystem, and is characterized in that the front-end monitoring subsystem is composed of a plurality of monitoring nodes; each monitoring node is provided with a high-definition camera, a sound sensor, a temperature and humidity sensor and an illumination sensor, the devices work cooperatively, and data of birds and the environment where the birds are located are collected in an omnibearing mode. According to the remote monitoring system based on bird type identification and population number estimation, manual intervention is greatly reduced through an automatic monitoring and analysis process, the monitoring efficiency is improved, the accuracy of bird type identification and population number estimation is remarkably improved based on an algorithm of deep learning and multi-modal data fusion, and the accuracy of bird type identification and population number estimation is improved. And real-time transmission and processing of data are realized through a remote monitoring system.

The invention discloses a method and system for monitoring and evaluating the influence of offshore wind plant operation on bird migration, and the method comprises the steps: carrying out the real-time online monitoring, so as to obtain monitoring image data; sending the monitoring image data into a pre-constructed intelligent model for identification to obtain the population number and category of each bird; respectively calculating the bird density of each category in a unit area in the monitoring area; after the bird target is recognized, rectangular coordinates of the bird target in the monitoring picture are extracted to form a motion trail diagram, and the flight speed and the flight trail length of the corresponding bird are calculated; processing the calculated data in combination with a preset processing strategy to obtain a corresponding bird avoidance rate; comprehensively evaluating the influence of the operation of the offshore wind plant on bird migration based on the bird avoidance rate; the method has the beneficial effects that the cumulative influence of project operation on bird migration can be effectively and comprehensively evaluated by mastering the behavior dynamic state of the birds around the offshore wind plant in real time and based on the proposed bird avoidance rate.

The invention discloses a macrobrachium rosenbergii cherax ratio prediction and breeding method based on phenotypic omics analysis, which comprises the following steps: selecting a plurality of macrobrachium rosenbergii for multi-generation breeding, recording pedigree data of each individual, and constructing a macrobrachium rosenbergii breeding database; the method comprises the following steps: extracting phenotypic characteristics of macrobrachium at different culture stages, analyzing a rule between a growth index and a chelate ratio, carrying out heritability evaluation, and constructing a macrobrachium phenotypic omics network; the growth path of macrobrachium rosenbergii is analyzed, abnormal events in the breeding period are recognized, and a macrobrachium rosenbergii growth situation network is generated; constructing a macrobrachium phenotype knowledge map, and constructing a macrobrachium cherax ratio prediction model; and performing data acquisition on a macrobrachium rosenbergii population to be bred to obtain early phenotypic data, performing breeding decision, and performing breeding path recommendation on bred individuals by using the macrobrachium rosenbergii phenotypic knowledge graph. Meanwhile, whether the breeding path is deviated or not in the breeding process is analyzed, and a correction scheme is formulated for pushing, so that the breeding period of the macrobrachium is shortened, and the breeding accuracy and efficiency are improved.

The invention belongs to the technical field of species identification, and particularly relates to an InDel molecular marker for identifying a Yunnan acer truncatum population and application, three InDel molecular markers MLP, LZ and WS for identifying the Yunnan acer truncatum population are provided for the first time, the molecular marker MLP is used for identifying a Yunnan acer truncatum chestnut slope population, the molecular marker LZ is used for identifying a Yunnan acer truncatum old Zika population, and the WS is used for identifying a Yunnan acer truncatum population. The molecular marker WS is used for identifying Wenshan population of acer truncatum in Yunnan; then, a primer group for amplifying molecular markers MLP, LZ and WS is designed, and a Yunnan acer truncatum population identification method is developed, so that plant materials from the Yunnan acer truncatum can be accurately and effectively distinguished from related species materials of the Yunnan acer truncatum, and geographical population types of to-be-detected Yunnan acer truncatum samples can be simply, conveniently and efficiently identified; and distinguishing the Chinese chestnut slope population, the old Zihai population and the Wenshan population of the Yunnan acer truncatum.

The invention discloses a multi-nutrition-level ecological breeding system suitable for freshwater fish breeding, the ecological breeding system comprises a breeding variety combination level and an ecological niche complementary variety combination level, the multi-nutrition-level ecological breeding system has the beneficial effects that efficient utilization of resources and self-regulation of an ecological environment are realized by constructing a multi-species coordinated three-dimensional population structure; through the arrangement of the breeding variety combination level and the ecological niche complementary variety combination level, breeding objects of different nutrition levels are mutually supplemented and mutualistic, so that the productivity of the breeding system is improved, and the anti-risk capability of the system is also enhanced; the system integrates a plurality of functional modules, through application of technologies such as digital monitoring and remote control modules, real-time monitoring, abnormity early warning and remote control of the breeding environment are achieved, the water quality dynamic regulation and control module and the feeding planning module can precisely regulate and control water quality parameters and feeding plans according to growth requirements and environment changes of bred organisms, and the breeding efficiency is improved. And feed waste and water quality pollution are effectively reduced.

The invention discloses a Pelteobagrus vachelli population dynamic monitoring system and method, particularly relates to the technical field of fishery resource monitoring, and aims to solve the problems of inaccurate juvenile fish survival rate evaluation and poor monitoring timeliness in a benthic hidden environment in the prior art. The method comprises the following steps: arranging a benthic penetration type sonar array to synchronously collect a water body reflection signal and a benthic environment sample, and extracting juvenile fish specific gene fragments by combining an environment DNA (Deoxyribose Nucleic Acid) enrichment technology to generate concentration distribution data; screening juvenile fish distribution data by using an acoustic reflection signal and body length correlation model, and positioning an active hot spot area through space-time overlapping analysis; deploying a directional sound wave excitation device to obtain escape trajectory data, and calculating a survival rate in combination with a density attenuation model; finally, multi-source data and topographic features are fused to generate a real-time population dynamic monitoring result, and high-precision and non-intrusive monitoring of the juvenile fish population in the hidden environment is realized.

The invention relates to the technical field of path planning, and provides a multi-strategy collaborative enhancement path planning method and navigation equipment. The path planning method comprises the following steps: acquiring an environment map comprising a starting position and a target position; initializing DBO algorithm parameters; initializing a dung beetle population based on Bernoulli chaotic mapping; calculating the fitness value of each dung beetle; determining the boundary of each dung beetle, and continuously iteratively updating the individual optimal fitness value and the global optimal fitness value of each dung beetle; and outputting the optimal path of the unmanned aerial vehicle until the number t of iterations is greater than the preset number T. According to the method, the initial solution is generated by introducing the chaos mapping based on Bernoulli distribution, so that the diversity and the ergodicity of the initial population are enhanced, premature convergence is effectively avoided, and the global search capability of the algorithm is improved.

The invention provides a three-dimensional multi-dimensional oceanic nekton monitoring method based on artificial intelligence, and relates to the technical field of oceanic nekton monitoring, and the method comprises the steps: deploying a temperature-salinity-depth section plotter and an acoustic Doppler flow velocity section plotter, collecting data, configuring an environment parameter data set, obtaining a three-dimensional environment parameter data set, and obtaining a three-dimensional environment parameter data set; and a multi-dimensional environment parameter database is generated. Various ocean fishery resource investigation means are fused, an advanced artificial intelligence method is applied, three-dimensional multi-dimensional dynamic monitoring of the ocean swimming animals is achieved, on one hand, the number composition and space-time distribution of the ocean swimming animals, especially the vertical distribution characteristics can be monitored, the population dynamics of the ocean swimming animals and the relation between the population dynamics and environmental factors can be revealed, and on the other hand, the population dynamics of the ocean swimming animals can be monitored. By monitoring the swimming animals, basic data can be provided for population resource evaluation, and the method serves formulation of fishing quota of ocean economic swimming animals, delimitation of ocean protection areas and the like.

The invention relates to the technical field of ecological environment science, in particular to a mangrove forest habitat core fish community prediction method, which comprises the following steps: acquiring fish eDNA data of a mangrove forest water area in different periods and performing data analysis to obtain composition structure data of a fish school; determining a food web; constructing an ecological network model; calculating a characteristic index of each species node in the ecological network model; carrying out standardization processing on the characteristic indexes; calculating a comprehensive score of the standardized feature indexes; important species and non-important species are distinguished according to the comprehensive score; important species data in different periods are preprocessed; calculating the highest similarity score between any two important species; evaluating the statistical significance; constructing an association network by using a species association result with statistical significance; and analyzing the association network to determine a core fish school. According to the method, the ecological network and correlation analysis are integrated, comprehensive analysis of the core fish community dynamics is realized, and the core fish school of the ecological system is accurately identified.

The invention relates to a lamplight purse seine fishing strategy optimization method and device based on multi-source data analysis, and belongs to the technical field of lamplight purse seine. Further acquiring multi-source data information of each sub-region in the target region, and constructing a biological population migration position point in combination with the multi-source data information and a biological population inhabitation prediction model, thereby constructing a migration route according to the biological population migration position point, setting different light fishing strategies, simulating the fishing effect of each light fishing strategy, and obtaining the target area. And finally, formulating a final light fishing strategy based on the fishing effect of each light fishing strategy and the migration route. According to the method, the migration position point of the target fishing organism population is optimized according to the survival habit data of the target organism population, the lamplight fishing strategy can be further optimized, and the fishing efficiency of the lamplight purse seine is improved.

The invention discloses an ecological regulation and control model for oncomelania indoor culture, and relates to the technical field of oncomelania culture regulation and control. Comprising the following steps: establishing a matching relationship between the number of indoor breeding units and the total oncomelania breeding amount for realizing standardized control of the initial oncomelania number of each breeding unit, ensuring the initial ecological balance of an experiment system, and determining the environment regulation priority of the indoor oncomelania breeding units based on the matching relationship. According to the method, the environmental parameter weight is dynamically corrected based on the risk intensity of different propagation stages of the schistosome, and the bottleneck that a static prevention and control strategy is difficult to adapt to the life cycle change of parasites is broken through; the biological rhythm of the oncomelania snail population can be accurately responded by environment regulation and control, the sustainability of indoor culture of the oncomelania snails is guaranteed to a certain extent, and the risk of schistosomiasis transmission is reduced.

The invention relates to a quorum sensing intelligent regulation and control method for violaceum violaceum in an antibiotic gradient region, and aims to solve the problems of uncontrollable multi-partition microenvironment and low biological behavior consistency in an existing system, the quorum sensing intelligent regulation and control method for the violaceum violaceum in the antibiotic gradient region comprises the following steps: accurately positioning space partitions, and collecting liquid phase pH, oxygen concentration and nutrient components in each region in real time by an integrated sensor; high-throughput detection and multi-modal data fusion are combined, and an AI model is input to establish association mapping of a liquid / gas phase environment and a biological phenotype. The system automatically generates and optimizes a partition gas component adjustment instruction, realizes spatial synchronous gas phase regulation and control by utilizing a programmable micro-airflow device, and realizes multi-region environment dynamic balance regulation and control in a culture chamber.

The invention relates to the technical field of insect identification, in particular to a flying insect identification system based on image analysis, which comprises an insect population dynamic monitoring module used for monitoring the quantity change and migration law of insect populations, and the insect population dynamic monitoring module comprises a population data acquisition unit and a dynamic analysis unit; the insect interaction behavior analysis module is used for analyzing interaction behaviors among insects, and the insect interaction behavior analysis module comprises a behavior monitoring unit and an interaction analysis unit. According to the invention, the system can identify the influence of environment change on the insect population dynamics, provides a scientific basis for ecological environment research, can efficiently identify and classify various behaviors of insects, provides more accurate data support for ecological monitoring, can timely discover abnormal behaviors and emergencies in the insect population, and improves the efficiency of ecological monitoring. And the sensitivity and response speed of ecological system monitoring are improved.

The invention discloses an unmanned aerial vehicle path planning method in a mountain environment, and the method comprises the steps: firstly carrying out the modeling of the mountain environment, including a planning interval, a terrain environment and a visual obstacle threat environment; constraint conditions such as flight length, flight cost and obstacle avoidance in the flight process are met in the flight process of the unmanned aerial vehicle; the optimal path of the unmanned aerial vehicle is searched for with the purpose of solving the minimum value through the target function; improving a dung beetle algorithm, adopting a composite chaotic mapping mode to improve initialization of a random population, and adopting a nonlinear convergence method to adjust a spawning boundary for breeding dung beetles and a foraging boundary of small dung beetles; introducing a gradient prompt drop population adjustment method to dynamically adjust the proportion of each dung beetle variety in the population in the iteration process; and solving the optimal path objective function of the unmanned aerial vehicle based on an improved dung beetle algorithm to obtain a path planning result. The planning path of the unmanned aerial vehicle in the mountain environment is shorter, the flight safety is higher, the flight cost is lower, and the requirement of the unmanned aerial vehicle for completing the mountain flight efficiency is effectively improved.

Described herein are embodiments relating to manipulation of populations and sex ratio in populations through DNA sequence modifications.

The invention discloses an intelligent ecological protection and management method for a natural reserve, and the method comprises a satellite remote sensing ecological environment monitoring method which achieves the remote sensing image segmentation based on a satellite remote sensing image and a neural network model, is used for accurately distinguishing ecological systems, and accurately calculates the area of each ecological system through two-dimensional integral operation. Visual display is realized in a thermodynamic diagram form, and real-time monitoring of ecological system changes is realized; according to the species quantity change prediction and decision-making method, a neural network model is used for extracting a nonlinear feature relationship between species quantity change and each environmental factor in a species quantity change prediction data set, and accurate prediction of the species quantity change trend on the premise of known environmental factor change trends is realized; according to the species identification method, accurate identification and distinguishing of similar species are realized through big data and a neural network model. The method has the advantages of being large in monitoring range, automatic in monitoring, high in species identification and quantity statistics accuracy and high in population quantity change trend prediction accuracy.

The invention relates to the technical field of waterfowl habitat recovery, in particular to a geranium wilfordii pause habitat recovery method. The method comprises the steps of selection of a suitable pause habitat, terrain transformation of the pause habitat, vegetation adjustment of the pause habitat, water body control of the pause habitat and specific food source supplementation: small fishes are regularly put and matched with benthic organisms such as shrimps and snails, so that smooth feeding of the geranium wilfordii is effectively ensured, the method is suitable for pause of the geranium wilfordii, and the health of geranium wilfordii populations is favorably improved; and a reference thought and practical reference significance are provided for geranium wilfordii population recovery.

The invention belongs to the technical field of coal mining settlement prediction, and particularly relates to a coal mining settlement prediction model parameter inversion method based on an improved dung beetle optimization algorithm, and the method comprises the steps: obtaining coal mine geological mining parameters and the actual measurement data of an earth surface observation point; logistic chaotic mapping is adopted to initialize a dung beetle population, and the dung beetle population is divided into four classes of roll dung beetles, breeding dung beetles, small dung beetles and theft dung beetles; the method comprises the following steps: improving position updating of roll dung beetles through a global exploration strategy fused with an eagle algorithm, updating a breeding dung beetle spawning area by adopting a dynamic boundary strategy, introducing an adaptive t distribution disturbance strategy to optimize foraging behaviors of small dung beetles, and randomly disturbing and updating positions of stolen dung beetles near an optimal solution; and finally, constructing a fitness function according to the sum of squares of errors of the measured value and the predicted value, and carrying out iterative optimization until an optimal parameter solution is obtained. According to the method, the convergence speed and the global search capability of the algorithm are remarkably improved, and the problems that a traditional method is prone to falling into local optimum, poor in anti-interference capability and the like are effectively solved.

The invention discloses an environment RNA (Ribonucleic Acid)-based double-saw eye spot fish detection method and a primer combination thereof, and solves the technical problems of lack of molecular markers, insufficient detection specificity and difficulty in reflecting physiological status in application of an existing environment RNA detection technology to benthic fishes. The primer pair aiming at the Ptger4b gene is designed on the basis of an environment RNA (eRNA) technology, and rapid and sensitive detection of the gemphus ocellatus in an independent feeding system is realized in combination with a fluorescent quantitative PCR (qPCR) technology. The method is easy and convenient to operate, high in sensitivity, small in interference to the ecological environment and suitable for detection and quantitative verification of target species in an independent feeding system, and has the potential of being expanded to natural sea areas in the future and used for fish population monitoring, fishery resource evaluation and species protection.

The invention discloses an energy consumption behavior simulation method based on a generative model, and the method comprises the following steps: S1, carrying out data interpolation reconstruction through time-space energy consumption data collected by equipment, and converting the data into a high-dimensional time-space data matrix; s2, decomposing the data matrix into a plurality of scale sub-matrixes, and using dynamic noise to drive a forward diffusion process to obtain spatio-temporal scale coded data; s3, executing a reverse diffusion process by using cross-scale data overlapping fusion and a dynamic noise weight decline mechanism, and reconstructing space-time energy consumption initial data; s4, according to the reconstruction data, constructing a feature space gravitational field and determining the spatial position of the quantum chaos African vulture group; and S5, dynamically adjusting the group position to enable the group position to carry out adaptive optimization along with the gravitational field gradient, and obtaining a dynamic optimization sequence. Through combination of quantum chaos optimization and a space-time diffusion model, the method can accurately simulate complex and dynamically changing energy consumption behaviors, and has a relatively strong optimization effect and a wide application prospect.

The invention relates to a PID (Proportion Integration Differentiation) system parameter setting method based on an enhanced whale optimization algorithm, and belongs to the technical field of PID setting. The PID system parameter setting method comprises the following steps: initializing parameters of the whale optimization algorithm, setting the maximum number of iterations, and setting the maximum number of iterations; pID system parameters including proportional gains, integral time constants and differential time constants serve as whale individuals, a plurality of initial values are randomly generated, and an initial whale population is formed; iteratively updating global optimal individuals in the initial whale population, and introducing a multi-random number transverse crossover variation mechanism into new individuals generated after updating, the new individuals representing PID system parameters after numerical value updating; and when a preset iteration stop condition is reached, outputting a new individual after updating variation, and finishing setting. According to the method, the problem that an obtained result is not a globally optimal solution due to the fact that effective exploration of a search space is limited in the prior art is effectively solved.

In traditional plant breeding approaches, chemical mutagenesis may be utilized to introduce nucleotide substitutions at random in the genome of a plant, i.e. without possibilities to control the sites of nucleotide changes. Because of genome complexities, the statistical probability is extremely little when it comes to finding a predetermined nucleotide substitution. The present invention, however, demonstrates how a novel, alternative use of digital polymerase chain reaction (dPCR), preferably droplet dPCR (ddPCR), is developed to exploit finding of specific nucleotide substitutions in mutated genes. The entire platform comprises a screening method with a library of mutagenized organisms, digital PCR-based systems and a set-up to propagate and analyze identified, mutated organisms.

The invention discloses an image multi-level threshold segmentation method based on an improved whale optimization algorithm, and belongs to the technical field of image processing. The method comprises the following steps: initializing a population; calculating a target function value, and finding out the optimal whale position Xbest of the population; updating the position of the whale in the population; performing combined mutation operation based on individual fitness values; similarity removal operation is carried out, and similar individuals are judged according to the difference between the target function values and the distances corresponding to the two individuals; the fitness value of the whale is recalculated, the optimal individual Xbest of the population is updated, and an optimal threshold value is obtained; outputting a global optimal threshold, and segmenting the image by using the global optimal threshold; and outputting the segmented image. The method has the beneficial effects that the development capability of the algorithm is improved by adaptively adjusting the parameters # imgabs0 # and # imgabs1 # in the contraction surrounding stage; the problem that the whale in the population in the later iteration stage is not subjected to position updating in the random search stage is solved, and the algorithm is prevented from falling into local optimum.

The invention discloses an inertia damping VSG control method and device based on a chaos self-adaptive whale algorithm, and belongs to the technical field of generator control, the inertia damping VSG control method is realized through cooperation of an optimization controller executing the whale algorithm on the upper layer and a VSG controller on the bottom layer, and the inertia damping VSG control method comprises the steps of system initialization and parameter pre-configuration; generating an initial population matrix based on an initial whale algorithm of Tent chaotic mapping; dynamically adjusting the population of the initialized whale algorithm according to the convergence factor; calculating the fitness of population individuals according to a fitness function; iteratively updating the whale algorithm population to output global optimal parameters; and switching the global optimal parameter to a bottom layer VSG controller through a linear interpolation transition mechanism, and executing a VSG algorithm to output a switch driving signal. According to the method, the whale algorithm based on Tent chaos is adopted, real-time matching of parameter optimization and power grid working conditions is ensured, performance degradation caused by fixed parameters is avoided, and optimization precision and robustness are improved.

The invention relates to the technical field of curved surface construction, in particular to a yak breeding amount optimization method and system based on an analytic hierarchy process, and the method comprises the steps: obtaining a reference yak population data set, confirming an excellent yak population data set and eliminating the yak population data set, matching an excellent yak population, calculating the density of the excellent population, and obtaining hierarchical factors. The method comprises the steps of collecting excellent nutrition data, matching an eliminated yak population, calculating the density of the eliminated population, collecting eliminated nutrition data, establishing an analysis criterion layer, constructing an analysis matrix, calculating criterion weight, calculating an excellent evaluation value, calculating an elimination evaluation value, constructing a breeding curved surface, and obtaining optimized breeding parameters according to the breeding curved surface. And making an optimized propagation scheme based on the optimized propagation parameters. The yak breeding amount can be increased.