Product
Patsnap Eureka
For R&D, Patsnap Eureka makes reading and utilizing patents & technical documents easy.
Patsnap Eureka AIR
Designed for self-driven R&D workflows. Generate viable solutions, solve complex R&D challenges, empower your innovation with AI.
Patsnap Eureka Materials
Designed for material experts only. Revolutionize your material R&D, from search, analyze, to developing new materials.
Feature
TechResearch
Generate reliable direction feasibility study reports for your R&D in just a few steps.
TechSeek
Discover and master advanced knowledge NOW. Basics, ideas, possibilities, all at once.
TechMind
As an expert in R&D Theories, TechMind can generates customized viable solutions instantly.
TechRisk
Analyze your overall solution with one click, know your potential R&D risks in advance.
TechMonitor
Get weekly tech updates, stay abreast of the latest tech innovations and key insights.
Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
32 results about "Climate index" patented technology
Efficacy Topic
Property
Owner
Technical Advancement
Application Domain
Technology Topic
Technology Field Word
Patent Country/Region
Patent Type
Patent Status
Application Year
Inventor
A climate index is a simple diagnostic quantity that is used to characterize an aspect of a geophysical system such as a circulation pattern.
System for Multivariate Climate Change Forecasting With Uncertainty Quantification
ActiveUS20170176640A1Rigorously quantify the uncertaintyReliable toolWeather condition predictionIndication of weather conditions using multiple variablesData setClimate index
A system and method for providing multivariate climate change forecasting are provided that obtain, from one or more climate model datasets, simulated historical and future climate model data, and from one or more climate observational datasets, historical observed climate data. A statistical distribution, using a Bayesian model, is provided of extremes or climate indices for one or more variable climate features using the simulated climate model data and the observed climate data. One or more metrics are determined, including a prediction of a future climate variable for a determined future time period, a confidence bound of the prediction of the future climate variable for the determined future time period, and a prediction bound for the future climate variable for the determined future time period. The metrics can be transmitted to a variety of applications in a variety of formats.
Owner:NORTHEASTERN UNIV
Glacial lake burst early-warning method
ActiveCN102831752AImprove effectivenessTake advantage ofRainfall/precipitation gaugesAlarmsObservatoryClimate index
The invention discloses a glacial lake burst early-warning method. Aiming at the defects that the adopted index is not reasonable, modification on observation data is over-simple in the existing glacial lake burst early-warning method, the invention provides the glacial lake burst early-warning method comprehensively considering the affects from an atmospheric temperature and the rainfall condition. According to the method, long-term observation data of temperature and rainfall in an observatory station is obtained and analyzed by a control center, a cumulative positive temperature daily increasing speed value TV in early days of a forecast date and a rainfall daily increasing speed value RV in early 30 days of the forecast date are calculated, and the TV value and the RV value are simultaneously subjected to double-index comparison with a burst warning curve RV=2.7214TV<-0.956> to judge the burst risks of the glacial lake, and an alarming system is started by the control center if necessary. According to the method, the corresponding relationship between two specific indexes of the cumulated temperature daily increasing speed value and the rainfall daily increasing speed value in early 30 days which are selected from numerous temperature and rainfall indexes and the glacial lake burst danger is determined, and the burst early-warning curve is determined. The forecast is carried out according to a more comprehensive and reasonable climate index, so the early-warning effectiveness is increased.
Owner:INST OF MOUNTAIN HAZARDS & ENVIRONMENT CHINESE ACADEMY OF SCI
Crop yield prediction method and system
ActiveCN110309985AAchieve Yield EstimationImprove the accuracy of production estimationForecastingICT adaptationClimate indexPredictive methods
The invention provides a crop yield prediction method. The prediction method comprises the following steps: firstly, establishing a comprehensive yield assessment model containing an unknown coefficient based on a trend yield model, a comprehensive climate index model and a growth key period (EVI), and then solving the unknown coefficient in the comprehensive yield assessment model containing theunknown coefficient by utilizing historical data to obtain a comprehensive yield assessment model; and finally, obtaining meteorological data and EVI data of a target yield assessment year, inputtingthe meteorological data and the EVI data into the comprehensive yield assessment model, and predicting the yield of the target yield assessment year. The comprehensive yield estimation model based onthe trend yield, the comprehensive climate index and the growth key period EVI is constructed, so that the yield estimation of the winter wheat in the whole growth period is realized from a more comprehensive perspective, and the yield estimation precision of the winter wheat is improved.
Owner:BEIJING NORMAL UNIVERSITY
Method for association rule mining of ocean-land climate events with combination of climate subdivision thought
InactiveCN103942325AImprove practicalityImprove reliabilitySpecial data processing applicationsClimate eventsClimate index
The invention discloses a method for association rule mining of ocean-land climate events with combination of a climate subdivision thought. A Delaunay triangulation network of space data is established and an overall and local long-side constraint is exerted on the space data, so that a reasonable and stable space adjacent relation network is obtained, the similarity of a time series of space adjacent entities is measured, hierarchical clustering is conducted to obtain a hierarchical cluster result, and a good climate subdivision result is obtained on the basis of false-T statistical magnitude analysis; a prior knowledge constraint of a related field is brought in and interested climate events are extracted from ocean climate indexes and land climate zones respectively, so that effective association rules among the ocean-land climate events are mined through exertion of a time window width constraint, a time delay constraint and a sufficiency and necessity constraint. The multi-scale effect can be effectively considered in the mining process so that an effective climate zone can be obtained and high efficiency, pertinence and practicability can be achieved through multiple constraints when the association rules are mined.
Owner:CENT SOUTH UNIV
Middle-and-long-term rainfall forecast modeling method for whole-process coupling machine learning
PendingCN113537600AImprove accuracyImprove reliabilityEnsemble learningKernel methodsClimate indexModel building
The invention discloses a medium-and-long-term rainfall forecast modeling method based on whole-process coupling machine learning, and the method comprises the following steps: S1, data processing: collecting actually measured rainfall, 130 meteorological-climate indexes and other data, and determining a forecast structure; s2, factor screening: providing a factor screening method based on Laplacian fractional-recursive feature elimination, and obtaining a forecast factor set; s3, model construction: constructing a plurality of machine learning models, and solving a plurality of sets of sub-forecasting results by adopting the forecasting structure and the forecasting factor set; and S4, multi-model fusion: providing a multi-model fusion technology based on an improved stacking method, and outputting a final forecast result. According to the method, the latest research result of the machine learning theory is applied to each link of medium and long term rainfall forecasting, the theoretical basis is sufficient, the practical application is reasonable, and the accuracy and the reliability of month-season-year scale rainfall forecasting can be effectively improved.
Owner:浙江省水利水电勘测设计院有限责任公司
Construction method of electricity market climate index, counting external economic factors
The invention discloses a construction method of electricity market climate index, counting external economic factors. The construction method of electricity market climate index, counting external economic factors includes the steps: 1) collecting and arranging the electricity consumption and various economic data in the external environment, and screening the electricity consumption and variouseconomic data; 2) performing seasonal adjustment and standardization on each screened data sequence; 3) performing principal component analysis on the electricity consumption and each economic index,and constructing the preliminary market climate index; 4) performing a stationary test or co-integration test on the electricity consumption and each economic index, and performing Granger cause and effect relation examination; and 5) based on the Granger cause and effect relation examination result, correcting the coefficient of each economic index in the market economy indexes, and constructingthe final electricity market climate index. Based on the principal component analysis and co-integration theory, the construction method of electricity market climate index, counting external economicfactors provides an integrated construction method of electricity market climate index, and has important reference meaning for the influence degree of each economic factors on the electricity consumption and the development trend of the overall electricity market.
Owner:SOUTHEAST UNIV
Screening and handling method for evaluating climate indexes of cigarette base and evaluation method for cigarette raw material base
The invention discloses a screening and handling method for climate indexes. The screening and handling method comprises the steps that climate monitoring indexes in a cigarette raw material producing area are used as the basis, factors and correlation analysis are applied to determine a characteristic index of a climate evaluation factor, probability distribution and standard deviation method weight coefficients are adopted to obtain the evaluation standard for the characteristic index, K-means clustering and multi-accumulating stepwise discriminant analysis are used for building a discrimination function and inspecting accuracy of the discrimination function, finally, a base unit climate index comprehensive classification result is determined, and the cigarette industrial raw material base layout is optimized according to the result. According to the screening and handling method for the climate indexes, the climate indexes capable of accurately analyzing and evaluating the cigarette raw material base are screened out more systematically and more comprehensively from the climate indexes of a plurality of base units, the lateral linkage of the climate indexes is built, and redundant information among the climate evaluation indexes is avoided. The invention further provides an evaluation method for the cigarette raw material base, and the decision-making basis and theoretical supports can be effectively and rapidly provided for optimization of the cigarette industrial enterprise base unit layout.
Owner:CHINA TOBACCO JIANGSU INDAL
Medium and long term runoff forecasting method based on improved particle swarm optimization algorithm and support vector machine
PendingCN112818608AImprove forecast accuracyImprove generalization abilityDesign optimisation/simulationMulti-objective optimisationData setAlgorithm
The invention discloses a medium and long term runoff forecasting method based on an improved particle swarm optimization algorithm and a support vector machine, which comprises the following steps: selecting historical data of a plurality of climate indexes and historical runoff volume of a drainage basin to be forecasted, and selecting forecasting factors from the historical data of the plurality of climate indexes and processing the forecasting factors, combining with the historical runoff volume of the drainage basin to be forecasted to construct a model data set, and dividing the model data set into a training set and a test set; performing stretching operation on the particles falling into local optimum to obtain an improved particle swarm optimization algorithm; obtaining an optimal parameter combination of the SVR based on an improved particle swarm optimization algorithm to establish an SVR forecasting model based on the improved particle swarm optimization algorithm, and training the forecasting model by using the training set; and comparing an output result obtained by inputting the test set into the forecasting model with real runoff data in the test set, and evaluating a forecasting effect of the forecasting model. The method has the advantages that the forecasting precision and generalization ability of the medium-and-long-term forecasting method are improved, and the problems of low forecasting precision and the like caused by easy falling into local optimum can be effectively avoided.
Owner:SOUTHERN POWER GRID PEAK LOAD & FREQUENCY REGULATION GENERATING CO LTD
Formulated fertilization method for young oil tea forest
The invention discloses a formulated fertilization method for a young oil tea forest and belongs to the field of formulated fertilization. The formulated fertilization method for the young oil tea forest is used for soil measurement based on influences of multiple factors including terrains, climates and soil. The fertilization method is adopted for measuring different terrain indexes, climate indexes, soil indexes and the corresponding growth amount of the young oil tea forest; a main component analysis method, a Delphi method and a Pearson correlational analysis method are adopted for screening out the terrain index, climate index and / or soil index which are correlated with the growth amount of the young oil tea forest in order to create a minimum data set; according to the minimum dataset, a nutrient benefit model is created, and different nutrient distribution proportions are calculated; the nutrient utilization efficiency is analyzed by means of data envelopment analysis; according to the nutrient distribution proportions and the nutrient utilization efficiency, the fertilization amount of the oil tea forest under different terrain conditions, different climate conditions anddifferent soil conditions is determined. The disclosed formulated fertilization method for the young oil tea forest is applicable to the different terrain conditions, the different climate conditionsand the different soil conditions, correspondingly input of fertilizer is reasonable, and the fertilizer utilization rate and the growth amount of the young oil tea forest are increased.
Owner:HUNAN ACAD OF FORESTRY
Multi-species crop agroclimate regionalization method
The invention discloses a multi-species crop agroclimate regionalization method. The method comprises the steps that according to the climate indexes of regionalization crop sowing and maturation, and under 80% climate assurance rate, the spatial distribution of climate growth period length of a crop is calculated; then classification marking is carried out according to a certain time interval to obtain a climate growth period length regionalization map of the crop. According to the method, the regionalization and the classification are carried out by taking the climate growth period length as parameters, the number of days of climate growth period length at a place with insufficient climatic resources is lower, the number of days of climate growth period length at a place with abundant climatic resources is higher, and therefore each species is planted in a region with the corresponding climate growth period length according to the own growth period length attribute. The climate resources are fully utilized, the quality potential and the production increase potential of each species are fully exerted, the planting area is effectively enlarged, and meanwhile, the harm of the meteorological disasters can be effectively reduced by the 80% assurance rate.
Owner:徐州博创建设发展集团有限公司
Moso shoot productive forest formula fertilization method
ActiveCN109168521AIncrease profitIncrease productionFertilising methodsMinimum Data SetPrincipal component analysis
The invention discloses a Moso shoot productive forest formula fertilization method, and belongs to the field of formula fertilization. The Moso shoot productive forest formula fertilization method isa soil testing and Moso shoot productive forest formula fertilization method under the influence of multiple-factors such as topography, climate and soil. The fertilization method is to determine different topographic indexes, climate indexes and soil indexes and corresponding bamboo shoot yield. By using principal component analysis, Delphi method and Pearson correlation analysis, topographicalindexes, climate indexes and / or soil indexes that are related to the bamboo shoot yield are screened out to form a minimum data set; according to the minimum data set, a nutrient benefit model is established, and the allocation proportion of different nutrients is calculated; the nutrient utilization efficiency is analyzed through data envelopment; and according to the allocation proportion of different nutrients and the nutrient utilization efficiency, Moso shoot productive forest fertilization amount is determined under different topographic, climate and soil conditions. The Moso shoot productive forest formula fertilization method is applicable to different topographic, climate and soil conditions, thereby rationalizing fertilizer input, improving fertilizer utilization rate and increasing bamboo shoot yield.
Owner:HUNAN ACAD OF FORESTRY
Method for selecting and verifying planting regions of foreign flue-cured tobacco varieties
InactiveCN107941997AComprehensive scientific description of ecological climate characteristicsScientific description of ecological climate characteristicsTesting plants/treesChemical compositionClimate index
The invention discloses a method for selecting and verifying the planting regions of foreign flue-cured tobacco varieties. The cosine value of an included angle between the same climate indexes of domestic selected tobacco regions and a foreign target tobacco region based on years of climate monitoring data of high-quality tobacco regions at home and abroad in order to evaluate the climate similarity among different tobacco planting regions, and the similarity is high if the value is close to 1; and the Euclidean distance value among the tobacco leaf quality indexes is calculated based on thedetection data of the appearance quality, the conventional chemical composition and the sensory quality of flue-cured tobacco leaves in the tobacco regions to evaluate the tobacco leaf quality similarity among different tobacco regions and verify the tobacco leaf quality similarity between the selected domestic tobacco regions and the foreign target tobacco region, the similarity is low if the distance value is large, and two algorithms are combined to finally determine a domestic tobacco planting region most close to the foreign target tobacco region in climate and quality styles. In the method of the embodiment of the invention, the Zimbabwe tobacco region is used as the foreign target tobacco region.
Owner:CHINA TOBACCO JIANGSU INDAL
System for multivariate climate change forecasting with uncertainty quantification
ActiveUS10488556B2Rigorously quantify the uncertaintyReliable toolWeather condition predictionIndication of weather conditions using multiple variablesData setClimate index
A system and method for providing multivariate climate change forecasting are provided that obtain, from one or more climate model datasets, simulated historical and future climate model data, and from one or more climate observational datasets, historical observed climate data. A statistical distribution, using a Bayesian model, is provided of extremes or climate indices for one or more variable climate features using the simulated climate model data and the observed climate data. One or more metrics are determined, including a prediction of a future climate variable for a determined future time period, a confidence bound of the prediction of the future climate variable for the determined future time period, and a prediction bound for the future climate variable for the determined future time period. The metrics can be transmitted to a variety of applications in a variety of formats.
Owner:NORTHEASTERN UNIV
Method for determining soil treatment plant and device thereof
ActiveCN113578956AImprove repair effectContaminated soil reclamationICT adaptationSoil scienceSoil treatment
The invention discloses a method for determining a soil treatment plant and a device thereof. The method comprises the following steps: acquiring environment indexes of a target area, wherein the environment indexes at least comprise climate indexes and soil indexes of the target area; inputting the environmental indexes of the target area into the plant prediction model; and obtaining a treatment plant corresponding to the target area output by the plant prediction model, wherein the treatment plant accords with the climate index of the target area and can absorb the overproof heavy metal recorded in the soil index. By adopting the method provided by the invention, multiple indexes such as climate and soil of the target area are integrated, the soil remediation conditions of different plants under different environmental factors are predicted, and the soil remediation plants are determined according to the prediction result.
Owner:INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
Fertilization method for adult tea-oil tree forest formula
The invention discloses a fertilization method for an adult tea-oil tree forest formula, and belongs to the field of formula fertilization. The soil measurement formula tea-oil tree forest fertilization method is based on terrain, climate and soil multi-factor influences. The fertilization method comprises the steps that different terrain indexes, climate indexes, soil indexes and corresponding tea-oil tree yields are measured; principal component analysis, the Delphi method and the Pearson related analysis method are adopted, terrain indexes, climate indexes and / or soil indexes with relevancewith the tea-oil tree yield are screened out to form a minimum data set; according to the minimum data set, a nutrient benefit model is built, and the distribution proportion of different nutrients is calculated; the nutrient utilization efficiency is analyzed through data envelopment; according to the different-nutrient distribution proportion and the nutrient utilization efficiency, the tea-oiltree forest fertilization amount under different terrain, climate and soil conditions can be determined. The adult tea-oil tree forest formula fertilization method is applicable to different terrain,climate and soil conditions, so that the fertilizer input is reasonable, the fertilizer utilization rate is increased, and the adult tea-oil tree forest yield is increased.
Owner:HUNAN ACAD OF FORESTRY
Accurate and economical method for mobile measurement of street thermal environment
PendingCN113987657AAvoid interferenceHigh precisionGeometric CADData processing applicationsMulti objective optimization algorithmClimate index
The invention discloses an accurate and economical method for mobile measurement of a street thermal environment. The method comprises the steps: selecting representative spaces in a to-be-measured region as measurement point spaces, and measuring an outdoor thermal environment; calculating a general thermal climate index of each measuring point space; classifying the measuring point spaces based on the sky view angle factors, and calculating average values of general thermal climate indexes of different types of measuring point spaces at different moments; determining the accuracy of the general thermal climate indexes of each measuring point space at each moment; establishing a platform about the accuracy of measuring point spaces, time and general thermal climate indexes; calculating all continuous paths giving consideration to all moments in the platform; by adopting a multi-objective optimization algorithm, and by taking the accuracy and the space number of the measuring points as objectives, screening out an optimized path; and performing mobile observation of the urban thermal environment along the optimized path. According to the invention, the limitation of street thermal environment measurement in the prior art is solved, and the purpose of improving the accuracy and economical efficiency of outdoor thermal environment measurement is achieved.
Owner:CHONGQING UNIV
Intelligent maintenance management system
ActiveCN114578881AAlarmsSimultaneous control of multiple variablesEnvironmental resource managementClimate index
The intelligent maintenance management system provided by the embodiment of the invention can realize real-time change of agricultural climate indexes and soil indexes. A user can know the factor change of the environment of the current park or greening project in real time through the intelligent maintenance management system, and manage and configure the irrigation time of the greening area; according to the automatic irrigation mode, when the environment changes, a sensor reports data, and an electromagnetic valve actively links a water valve switch according to the data change under a preset rule; an operator can use an intelligent irrigation system of the system to control a greening purpose water valve to be opened and closed, and the water valve is automatically opened and closed according to rules set by the rule engine; an operator can check early warning information, manage greening projects in real time and check daily, weekly, monthly, seasonal and annual maintenance reports. A manager can manage greening projects, including area division, equipment access, rule setting, early warning setting and the like, and system management operation can be carried out conveniently.
Owner:云南林奚绿化科技发展有限公司
Forest fire monitoring method based on wireless sensor network
InactiveCN111343600AAccurate predictionLow costParticular environment based servicesNetwork topologiesClimate indexEngineering
The invention discloses a forest fire monitoring method based on a wireless sensor network. The number of sensors needing to be arranged in a forest of a unit area is determined by adopting a Bayesianclassifier; a sensor network is arranged, the four measured basic weather condition parameters are substituted into a pre-established closed form equation of dependence of a fine fuel humidity specification and a fire climate index on weather conditions; the threat degree representing possible fire disasters is calculated, the influence of sensor distribution on the FFMC and the FWI can be quantified, the needed precision is achieved in the FFMC and the FWI, accurate prediction of the forest fire disasters is achieved, meanwhile, the lowest cost is guaranteed, and the method is easy to implement and does not need any specific node deployment scheme. Thus, the nodes may be deployed in a unified manner, such as throwing them from an aircraft. Therefore, node deployment in real life is greatly facilitated.
Owner:CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
Formula fertilization method for young Camellia oleifera forest
The invention discloses a formula fertilization method for juvenile camellia oleifera forest, which belongs to the field of formula fertilization, and is a method of fertilizing formula camellia oleifera forest based on soil testing under the influence of multi-factors of terrain, climate and soil; the fertilization method is to measure different topographic indexes and climate indexes and soil indicators and the corresponding growth of young camellia oleifera forests; use principal component analysis, Delphi method and Pearson correlation analysis to screen out the topographic indicators, climate indicators and / or soil indicators that are correlated with the growth of young camellia oleifera forests Minimum data set; according to the minimum data set, establish a nutrient benefit model and calculate different nutrient distribution ratios; analyze nutrient use efficiency through data envelopment; determine different terrains, climates and soils according to the different nutrient distribution ratios and nutrient use efficiency The amount of fertilizer applied to Camellia oleifera forest under the same conditions. The formula fertilization method for juvenile Camellia oleifera forest proposed by the invention is applicable to different terrains, climates and soil conditions, thereby rationalizing fertilizer input, improving fertilizer utilization rate and growth of juvenile Camellia oleifera forest.
Owner:HUNAN ACAD OF FORESTRY
Economic prosperity index detection method, electronic device, and storage medium
PendingCN109063958AStructural solutionSolve the power industryResourcesClimate indexModel parameters
A method for detect economic prosperity index comprises that follow steps: establishing a hierarchical dynamic factor model; establishing a corresponding hierarchical dynamic factor model of economicprosperity index accord to various consumption quantities corresponding to hierarchical and administrative level zoning of electric power system; setting up a hierarchical dynamic factor model of economic prosperity index according to various consumption quantities corresponding to administrative level zoning; estimating the parameters of the model; estimating the parameters of the model based onthe hierarchical dynamic factor model of economic prosperity index according to the hierarchy of the power system and the consumption corresponding to the administrative level zoning; adjusting the economic climate index; adjusting the corresponding economic climate index according to the hierarchy of the power system and the corresponding economic indicators of the administrative level zoning. The present invention relates to an electronic device and a readable storage medium for performing an economic prosperity index detection method. The invention can fully describe the correlation difference between different regions and industries and the electric power boom index by introducing the structural evaluation, and can correct the difference according to the structural evaluation and the industrial structure coefficient.
Owner:NINGBO POWER SUPPLY COMPANY STATE GRID ZHEJIANG ELECTRIC POWER +1
A method of agro-climate division for multi-variety crops
Owner:徐州博创建设发展集团有限公司
Climate control system and method for breeding house
InactiveCN112947647ASolve problems that are difficult to effectively controlEnsure safetyAnimal housingSimultaneous control of multiple variablesAutomatic controlControl system
The invention provides a climate control system and method for a breeding house and relates to the field of scientific breeding. According to the climate control system, a center control box, a distribution box and a climate control equipment unit are arranged in a breeding house, climate indexes in the breeding house are controlled through a climate control method, and the climate environment in the breeding house is always in the optimal state; the central control box is matched with the distribution box to realize remote control of the system, isolation control is adopted between the distribution box and the climate control equipment unit, and triple alarm loops of an equipment tripping alarm module, an equipment overload alarm module and an equipment lacking alarm module are added, so safety of the device is ensured; automatic control and emergency control of the climate control equipment unit can be realized by adopting a double-path control loop, practicability and reliability of the climate control system are improved, and the storage module can store work logs and related climate index data.
Owner:成都旺江农牧科技有限公司
Glacial lake burst early-warning method
ActiveCN102831752BImprove effectivenessTake advantage ofRainfall/precipitation gaugesAlarmsObservatoryObservation data
The invention discloses a glacial lake burst early-warning method. Aiming at the defects that the adopted index is not reasonable, modification on observation data is over-simple in the existing glacial lake burst early-warning method, the invention provides the glacial lake burst early-warning method comprehensively considering the affects from an atmospheric temperature and the rainfall condition. According to the method, long-term observation data of temperature and rainfall in an observatory station is obtained and analyzed by a control center, a cumulative positive temperature daily increasing speed value TV in early days of a forecast date and a rainfall daily increasing speed value RV in early 30 days of the forecast date are calculated, and the TV value and the RV value are simultaneously subjected to double-index comparison with a burst warning curve RV=2.7214TV<-0.956> to judge the burst risks of the glacial lake, and an alarming system is started by the control center if necessary. According to the method, the corresponding relationship between two specific indexes of the cumulated temperature daily increasing speed value and the rainfall daily increasing speed value in early 30 days which are selected from numerous temperature and rainfall indexes and the glacial lake burst danger is determined, and the burst early-warning curve is determined. The forecast is carried out according to a more comprehensive and reasonable climate index, so the early-warning effectiveness is increased.
Owner:INST OF MOUNTAIN HAZARDS & ENVIRONMENT CHINESE ACADEMY OF SCI
Method and device for determining electric power planning scheme based on prosperity index index
The invention provides a booming-index-based electric-planning-scheme determining method and an apparatus. The method comprises the following steps: obtaining sequence of the to-be-determined indexes, the sequence of the stationary reference indexes linked with the to-be-determined indexes, the maximum lag order and the maximum first order; establishing the relationship model between the sequence of the stationary reference indexes and the to-be-determined indexes; constructing an objective function; determining the coefficients of the relationship module; compressing the determined coefficients to obtain the variable corresponding to the coefficient compressed as zero; determining the first lagging of the sequence of to-be-determined indexes to the indexes corresponding to the sequence of the stationary reference indexes; and according to the first lagging, determining the electric-planning scheme. According to the invention, through the residual square sum of the relationship model and the MCP penalty terms of the relationship model, an objective function is constructed so as to further determine the coefficients of the relationship model with more precision. And therefore, the electric planning scheme becomes more economic through the use of the increased first lagging.
Owner:POWER GRID TECH RES CENT CHINA SOUTHERN POWER GRID +2
Method and system for predicting crop yield
ActiveCN110309985BAchieve Yield EstimationImprove the accuracy of production estimationForecastingICT adaptationAlgorithmClimate index
The present invention provides a crop yield forecasting method. In the forecasting method, first, a comprehensive yield estimation model including unknown coefficients based on a trend yield model, a comprehensive climate index model and EVI during a critical growth period is established, and then the historical data is used to solve the Including the unknown coefficients in the comprehensive production estimation model of unknown coefficients, the comprehensive production estimation model is obtained; finally, the meteorological data and EVI data of the target production estimation year are obtained, and the meteorological data and the EVI data are input into the comprehensive production estimation model to predict the target Estimated production year. The present invention constructs a comprehensive yield estimation model based on trend yield, comprehensive climate index and EVI in critical growth period, so as to realize the yield estimation of winter wheat in the whole growth period from a more comprehensive perspective, and improve the yield estimation accuracy of winter wheat.
Owner:BEIJING NORMAL UNIVERSITY
Analysis method of economic climate index based on regional electricity characteristics and system thereof
InactiveCN106355306AAccurate judgment calculationImprove detection accuracyResourcesElectricityClimate index
An analysis method of economic climate index based on regional electricity characteristics, in which economic indicators and electricity consumption indicators to be used in the calculation of the economic climate index are selected based on the economic data and power consumption data of the region to be tested and then the clustering method and lag correlation method are applied to said economic indicators and power consumption indicators to obtain leading indicator, coincident indicator and lagging indicator, and after that the composite index method is used to get the economic climate index of the region to be tested,thus allowing for accurate test of the economic climate index based on the power consumption characteristics of the region tested.
Owner:POWER GRID TECH RES CENT CHINA SOUTHERN POWER GRID +1
Power Consumption Prediction Method and System Based on Prosperity Index
ActiveCN106557835BImprove rationalityAccurate predictionForecastingComplex mathematical operationsCorrelation coefficientClimate index
Owner:ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD
Crop climate risk identification method and device and computer equipment
The embodiment of the invention discloses a crop climate risk identification method and device and computer equipment, and relates to the technical field of risk assessment, and the method comprises the steps: obtaining climate index data and crop disaster data, and generating a climate risk general survey data matrix; rearranging the climate index data according to the ascending or descending sequence of each piece of climate index data to obtain a single climate index data matrix; according to the single climate index data matrix, judging whether the climate index is a primary climate risk index or not by adopting a given technical method; and carrying out independence test on all the primarily selected climate risk indexes by adopting a given analysis method to obtain climate risk factors. The technical scheme provided by the invention is extremely easy to realize through a computer program, passes actual measurement and inspection, has universality, objectively and quantitatively obtains a result, and is convenient for further manual analysis.
Owner:湖南省气候中心
Agricultural product supply early warning system aiming at natural disaster influence
PendingCN114781862AReceive in real timeGuaranteed timely deliveryForecastingCharacter and pattern recognitionClimate indexGraph model
The invention discloses an agricultural product supply early warning system for natural disaster influence. The agricultural product supply early warning system comprises a meteorological information acquisition module, an information type distinguishing module, an information database platform, a quartered graph model evaluation module, an early warning issuing module, a differentiation emergency response module and an information feedback module. The quartered graph evaluation model comprises a'region-climate 'double-index threshold value, and data judgment is performed on the region index database and the climate index database according to the threshold value. According to the invention, regional meteorological disaster early warning signals can be received in real time, meteorological data and corresponding geographic location data are comprehensively integrated and analyzed, accurate forecasting and timely evaluation are carried out, an information basis is provided for agricultural product supply strategy selection under the influence of natural disasters, and preparations are made for in-disaster resistance and rescue; the response speed of government functional departments to emergencies is improved, so that the supply capacity of agricultural products is guaranteed as much as possible, and the loss of natural disasters is reduced to the minimum.
Owner:HUAIYIN INSTITUTE OF TECHNOLOGY +1
Composite extreme climate event identification method and system
ActiveCN113688539AComprehensive recognitionEasy to analyzeDesign optimisation/simulationSpecial data processing applicationsClimate eventsClimate index
The invention discloses a composite extreme climate event identification method and system, which are different from an identification method of a single climate index threshold value, the method combines various climate index types to identify the composite extreme climate of a to-be-identified area, and the influence range of the composite extreme climate is identified more comprehensively. Furthermore, the method can also identify the moving track of the central grid point of each composite extreme climate sub-type in the composite extreme climate area. The influence change of the compound extreme climate is further vividly displayed, so that technicians can conveniently analyze the climate change and the influence brought by the compound climate.
Owner:NANJING UNIV OF INFORMATION SCI & TECH
Who we serve
- R&D Engineer
- R&D Manager
- IP Professional
Why Patsnap Eureka
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com