62 results about "Weather index" patented technology

A tradable investment index and method for weather futures, comprised of weather data transformed using the steps of extracting historical weather data, including weather measures such as precipitation, wind speed, temperature and sunshine hours, providing the weather data to a computer database, operating on the values in the database using a computer and software program, and transforming the resulting set into an index, which is tradable in the financial, weather derivative or insurance markets.

The invention relates to a PM2.5 concentration prediction method based on feature vectors and a least square support vector machine, and belongs to the field of environment pollution prediction. The method includes the steps that firstly, pollutant concentration data relevant to the PM2.5 concentration are collected and preprocessed; then comprehensive weather indexes are calculated; correlation analysis is conducted on the pollutant concentration data relevant to the PM2.5 concentration and the comprehensive weather indexes, and then feature vectors containing the comprehensive weather indexes are acquired to form feature vectors A and feature vectors in which the comprehensive weather indexes are removed are acquired to form feature vectors B; eventually, a training sample training LS-SVM model is formed through the feature vectors A and the feature vectors B, and the prediction result is evaluated. By the combination of environment monitoring data and the actual situation, air humidity, wind power and humidity are combined with a formation mechanism of PM2.5, and the new concept of a comprehensive weather index formula is provided; prediction accuracy is high.

A computer-implemented method for generating a weather index mapped to a road segment for a particular time frame includes receiving weather condition information for a plurality of time periods, parsing the weather condition information to determine weather conditions for a road segment defined by a starting point and an ending point for the plurality of time periods, and generating a plurality of weather indices for the road segment. Each weather index is associated with one of the plurality of time periods and is representative of a predicted traffic impact based on historical information of the received weather conditions for the road segment. The plurality of time periods includes at least one future time period and the weather condition information includes forecasted weather information.

The invention discloses a lake water quality evaluation prediction system and method based on a factor weighting model. The method comprises the following steps: through different lake area pollution thermal graph color conditions, knowing each lake pollution contrast; through obtaining lake basin weather indexes, feeding time vector weather temperature information and each weather index to a user; displaying an accomplishment of an improved factor weighting model; and through combination with a correlation analysis algorithm, emitting an alarm to the user for each current standard-exceeding water quality index and prediction standard-exceeding indexes. According to the invention, the factor weighting evaluation model capable of more accurately evaluating water quality is established. Through numerous data tests of the model, it is proved that the algorithm operation efficiency and the water quality evaluation accuracy are greatly improved. A factor weight based evaluation model is established, a future lake water quality and environment development trend is reasonably predicted and analyzed, most visual water quality change and lake area differences can be given to the user, and water supply environment management advice is provided for sustainable development of a nine-like basin.

The invention relates to an air quality monitoring technology, and especially relates to a method for quickly calibrating air quality monitoring data based on a wireless sensor network. The method comprises the following steps: environmental sensing data of every sensor node and a standard high-precision air quality collecting device are acquired; the calibration equation parameter of every sensornode is obtained by using a big data analysis platform, and is stored; a real-time online calibration subsystem receives the air quality monitoring data uploaded by the sensor nodes and establishes an air quality data feature vector set; and the big data analysis platform calculates the real-time air quality data according to the air quality data feature vector set and the stored calibration equation parameter. The method maximally reduces the systematic error of the multi-dimensional air quality data collected by the sensor nodes to quickly provide accurate air quality data, and can be applied to systems for monitoring the air quality in a self-perceived environment, cared by people, in real time and predicating life and medical weather indexes.

Exemplary systems and methods for creating customized weather derivatives are provided. In exemplary embodiments, a general weather derivative contract form is provided. A weather contract type selection within the general weather derivative contract form is received from a purchaser by a derivative seller system. A weather index term and a payout term based on the weather contract type selection are also received from the purchaser. The customized weather derivative based on the weather contract type selection, the weather index term, and the payout term is generated. In some embodiments, a pricing analysis based on the weather contract type selection, the weather index term, and the payout term is performed.

The invention discloses a multi-time scale cascading failure prediction method of a power system under a typhoon weather condition. The method comprises the steps of 1, acquiring meteorological data and line parameters, and building a dynamic model of typhoon weather; 2, calculating initial fault probabilities of lines to form an initial fault set; 3, switching on or off any line of the initial fault set under an initial load level; 4, enabling the power system to sequentially carry out short-time scale judgment and corresponding control process and line overload control process of the short-time scale judgment; 5, carrying out fuzzy clustering on correlation indexes of the line, and taking the class with the highest relevance in a clustering result as an on-off line in the next stage; 6,updating the load level of the power system and weather indexes of the line; 7, repeating the steps 4-6, and until completion conditions are met, recording and outputting accident chain data. According to the method, an accident chain of the power system under the typhoon weather condition can be more really simulated when typhoon comes, so that guidance can be provided for research on cascading failures in typhoon.

The invention discloses a method and a device for forecasting air puncture voltage. A plurality of weather indexes are subjected to dimension reduction by adopting a main component analysis method; according to weighted stacking, a one-dimensional atmosphere discharge comprehensive index is obtained and can truly reflect comprehensive characteristics of weather indexes; after the atmosphere discharge comprehensive index at certain time in the future is calculated, the change tendency of the future air puncture voltage can be forecast with reference to a relation between the previous air puncture voltage and the conventional atmosphere discharge comprehensive index and a rule; the forecast process is simple; and a forecast result is accurate and effective.

The disclosure a method, apparatus and system for presenting weather conditions. The method comprises: receiving a weather condition query request from an end point, the weather condition query request comprises geographical location information of the end point; searching weather condition information and a street view graph corresponding to the geographical location information, determining a dynamic presentation graph of a weather condition based on the weather condition information, and sending the dynamic presentation graph of the weather condition and the street view graph to the end point, wherein the dynamic presentation graph of the weather condition is superimposed on the street view graph for presentation. A weather condition presentation method realizing all-view simulation within a region is provided, and visualization effect of weather indexes under panorama is significantly improved.

The invention discloses a method for determining a protected grape low-temperature disaster weather index insurance pure premium rate. The method comprises the following steps of: (1) carrying out low-temperature processing of different levels on protected grapes; (2) calculating output loss rates of the protected grapes under different-level low-temperature processing; (3) constructing a probability distribution model of low-temperature disaster weathers; (4) establishing a output loss rate model; and (5) calculating the insurance pure premium rate. According to the invention, the weather index insurance pure premium rate under the low-temperature disaster condition is accurately obtained, and the measurement precision is high.

The invention relates to an accurate water feeding and fertilization method, in particular to a method for carrying out water feeding and fertilization by detecting weather and soil indexes. According to the technical scheme, the weather and soil indexes are detected through a sensor, the weather indexes are fine weather or cloudy weather or rainy weather, and the soil indexes comprise soil temperature, soil electric conductivity and soil tension. A water feeding and fertilization system determines a water feeding and fertilization scheme on crops according to the weather and soil index data detected by the sensor. According to the method for carrying out water feeding and fertilization by detecting the weather and soil indexes, external weather and coil environment are combined, under different environment conditions, different water feeding and fertilization schemes are developed, great guiding effect is achieved on farm irrigation and fertilization, water saving and fertilizer saving are achieved, and the purpose of crop high yield is achieved.

The invention relates to a method and device for determining a weathering index based on rock elements, and belongs to the technical field of rock weathering discrimination. According to the content of oxidized minerals analyzed in a laboratory, a regional constant in a calculation formula for the element weathering index is determined for adjustment, and an optimized element weathering index model is obtained; the element weathering index is calculated according to the rock element content real-timely obtained in a petroleum drilling field. The obtained element weathering index has high timeliness, and the obtained element weathering index can be continuously changed with the well depth, the application is wider, and the problems of low timeliness and discontinuity of the weathering indexobtained in a laboratory are overcome.

The invention belongs to the technical field of visualization, and provides a weather information processing and displaying method and a weather information processing and displaying system. The method includes acquiring time information, position information and weather index variables of a training sample point; performing training according to the position information and the weather index variables, and acquiring a target regression model corresponding to the time information; acquiring weather information of a target location according to the position information of the target location and the target regression model; transforming the weather information of the target location into color information according to weather index color setting rules; displaying the color information according to the position information of the target location. The weather information processing and displaying method and the weather information processing and displaying system have the advantages that the weather information of the target geographic location can be predicated effectively and can be displayed visually, and accordingly, user experience is improved.

The invention discloses a method for early warning meteorological risk of power transmission line windage yaw flashover faults. In view that strong wind resulting in windage yaw flashover arcing correlates to strong weather processes closely, via analysis on weather processes, the ground, meteorological elements at high altitude and weather indexes before and after the occurrences of historical windage yaw flashover faults, an integrated model of the whole atmosphere associated with the windage yaw flashover faults is proposed. In addition to considering the changes of wind speed itself, changes of the factors, such as temperature and pressure, closely related to strong weather processes and the instruction significance of high altitude weather indexes are also considered in the model. What's more, on this basis, further combining with numerical mode forecast results, the integrated model of the whole atmosphere is adjusted so as to adapt to the numerical mode forecast results. The accuracy in time and in space can also be significantly improved.

The invention discloses an air conditioner control method and system. The air conditioner control method comprises the steps that an air conditioner determines a target geographic position; the air conditioner obtains weather information and traffic information matched with the target geographic position from a cloud server; the air conditioner generates living weather indexes according to the weather information and generates traffic indexes according to the traffic information; and a prompting device outputs a prompt message according to the living weather indexes and the traffic indexes. According to the air conditioner control method and system, the weather information and the traffic information can be obtained by the air conditioner in real time, then the reasonable dietary mode, the wearing style, the outdoor activity mode and the like under different weather conditions can be provided for a user in advance, and the most direct food, clothing, shelter, transportation demands of people are met; meanwhile, the real-time traffic condition nearby can be determined and forecasted in advance, and a proper traveling mode is provided; and the requirement of people for a healthy life is met.

The invention discloses a distributed photovoltaic power generating capacity estimating system and a solar radiation data generation method, and is widely applicable to scientific research and engineering application in the area related to solar energy. A comprehensive calculating module utilizes a representative weather year and month method to acquire weather index data to calculate and analyze, an evaluated and quantized value acquiring module is used for overlapping and transforming total solar radiation data every day of the year generated in the comprehensive calculating module so as to acquire evaluated and quantized value, and a distributed photovoltaic power generating evaluating module compares the quantized value with a evaluation system to acquire a distributed photovoltaic power generating capacity evaluating result. The distributed photovoltaic power generating capacity estimating system and the solar radiation data generation method can be widely applied to various areas and weather conditions, the generated total solar radiation data every day of the year are representative, the evaluating result is objective and reasonable, and the requirement of distributed photovoltaic power generating planning engineering application can be met.

The invention discloses a northern grassland fire hazard risk grade rapid assessment method. A distance from a residential site, a distance from a road to network, a weather index, a combustible matter characteristic and a landform are selected as risk factors, and grassland area economic density, population density and basic facilities are selected for generating grassland area exposure and vulnerability indexes, such that the accuracy of grassland fire hazard risk assessment is improved, and the present situation of backward assessment of grassland fire hazard risk assessment is changed; the grassland fire hazard management capability can be enhanced; and a basis can be provided for grassland fire hazard insurance.

The invention relates to the field of intelligent detection, and discloses a farming activity weather index prediction method, device and equipment, and a storage medium, the method is used for assisting farming activities, and the method comprises the steps of obtaining farming data and weather data corresponding to to-be-predicted crops; selecting at least one agricultural meteorological condition from a preset agricultural meteorological condition set as an agricultural meteorological index of the to-be-predicted crops according to the farming data and the weather data; selecting a corresponding agricultural meteorological condition evaluation model and an agricultural meteorological disaster monitoring and early warning model according to the agricultural meteorological index and the to-be-predicted crops; inputting the weather data into the agricultural meteorological condition evaluation model and the agricultural meteorological disaster monitoring and early warning model, and grading the agricultural meteorological index; and selecting corresponding farming suggestions from a preset farming suggestion library according to the graded agricultural meteorological index and weather data, and outputting the corresponding farming suggestions. By means of the method, when farming activities are conducted, favorable weather can be fully utilized, and the influence of the adverseweather is avoided.

The invention discloses a cultivation method for Buzhihuo tangerine, and relates to a cultivation method for economic plants, comprising a set of processes from selection of a cultivation field to final flower and fruit management. The cultivation method provided by the invention is scientific and systematized, the proper cultivation field is selected according to key weather indexes such as temperature and illumination, a tangerine tree or an orange tree is selected to serve as a rootstock breeding grafted seedling, or the orange tree or a mandarin orange tree is used as an interstock for changing variety by top grafting, organic fertilizer is used as a core for improving soil, fertilizer and water management, and pruning and flower and fruit management are performed cooperatively, so that acquired Buzhihuo tangerines are heavy in weight, and high in fruit quality and yield. The method provided by the invention is standard and systematic in operation, good in quality of acquired fruits and high in yield, so that market competitiveness is improved, and thus the method is applicable to high-quality and efficient cultivation of the Buzhihuo tangerines.

Methods for compiling, generating, and using a run weather index and a personalized run weather index which represent the cumulative and weighted effects of weather and environmental conditions on outdoor running for different distance categories. The run weather index and personalized run weather index represent relative environmental and meteorological conditions as they affect run performance. Targeted messages associated with a run weather index may also be delivered based on current and / or forecasted run weather indexes or personalized run weather indexes.

The invention relates to a method and a device for constructing a health prediction model of a dressing meteorological index. The method comprises the following steps: acquiring clothes matching information of people of different ages in different seasons and different climate conditions; determining a dressing weather index according to the clothes matching information and the climate information; acquiring corresponding health risk information according to different people under different human body comfort index conditions; matching the human body comfort index and the dressing weather index with health risk information, and constructing a sample data set; training a multi-task convolutional neural network by using the sample data set; and inputting age information, climate information and dressing information of a to-be-predicted person into the trained multi-task convolutional neural network to obtain health risk and dressing recommendation information of the to-be-predicted person. The age information, the climate information, the dressing information and the health risk information are matched, the data set is established, the prediction model is established in combination with deep learning, the prediction speed is high, and the accuracy is high.

The invention provides a novel intelligent skylight system for environment prediction. The novel intelligent skylight system comprises a window frame, a window sash installed on the window frame, a driving device for driving the window sash to rotatably open and close, open and close in a translating mode or open and close in a folding and unfolding mode, a control system for controlling startingand stopping of the driving device and an environment prediction system, wherein the environment prediction system monitors real-time weather, calculates a real-time weather index and predicts the weather index; and when weather is changed or is about to change, different skylight control commands are sent according to the weather changes, after the skylight control commands are received, the control system controls the driving device connected with the control system to drive the window sash of a skylight to rotate, translate, fold and unfold. The novel intelligent skylight system has the beneficial effects that through data collection and data processing of the surrounding environment of the skylight, the environment for a period of time in the future is reasonably predicted, and the skylight is opened and closed in advance according to the predicted weather index, so that manpower waste is reduced, and loss of life and property is reduced.

An embodiment of the invention discloses a health monitoring method and system based on respiratory rate index and relates to the technical field of health monitoring. The method includes: acquiring respiratory frequency data of a human body through a respiratory frequency detection device; sending the respiratory frequency data to a client side; acquiring heartbeat frequency of the human body andreal-time weather index by the client side; combining the respiratory frequency data, the heartbeat frequency of the human body and the weather index and analytically comparing by the client side toacquire health index, and generating a guidance suggestion; pushing the health index and the guidance suggestion to a user through a mobile terminal by the client side. By the health monitoring methodand system, the problem that existing health monitoring methods or systems are incomplete caused by the fact that respiratory frequency which is a physiological index in neglected and existing healthmonitoring devices are not intelligent enough in the prior art can be solved.

The invention relates to a distributed photovoltaic power generation system short-term prediction method based on an LSTM-Morlet model in the technical field of power system automation. The method comprises the steps of sample data normalization, short-term weather classification and establishment of a photovoltaic power generation prediction model. A photovoltaic power generation prediction modelis established by using a variant long-term and short-term memory neural network LSTM; a Morlet wavelet function is used as an activation function of an LSTM model, and experiments prove that the power generation prediction effect of the LSTM model is obviously improved by using the Morlet wavelet function as the activation function and adding weather index parameters; the method has the advantages of high convergence speed and high prediction precision.

The invention discloses a power grid dispatching operation risk early warning method and system based on a weather factor. The power grid dispatching operation risk early warning method includes the steps of obtaining the weather state information, comprising multiple weather index data, of the location of power grid dispatching operation equipment; subtracting each weather index datum from a corresponding preset threshold value, comparing the difference value with a preset threshold value, and obtaining the weather index value corresponding to the weather index datum; carrying out translation on all the weather index values according to the same translation amplitude, and determining weather index translation values corresponding to the weather index values until all the weather index values obtained after translation are positive numbers; calculating corresponding weather entropies according to the weather index translation values, correcting the weather entropies and obtaining a risk influence value of the power grid dispatching operation on the basis that the current weather factor is the influence factor; carrying out early warning on the power grid dispatching operation under the current weather factor according to the risk influence value. The power grid dispatching operation risk early warning method improves the accuracy of obtaining the risk influence value, and avoids a false alarm in the early warning process.

The invention discloses a forest steppe fire danger weather grade evaluation method based on dominant factor evaluation. Precipitation and wind speed are taken as dominant factors, then temperature and humidity are fused into a comprehensive index temperature and humidity as a basic factor, and finally, the moisture content of dead combustible materials on the surface of the forest steppe is taken as a qualitative grade for comprehensive evaluation, wherein there are five grades in total. The method not only considers the contribution of single factors such as atmospheric temperature, atmospheric humidity, rainfall, wind speed and moisture content of dead combustible matters on the fire danger grade of the forest steppe, but also considers the mutual contribution of the influence between every two factors and among multiple factors to the fire danger grade of the forest steppe. According to the method, a new index scoring standard is constructed, score values of all indexes in different seasons are given, a calculation formula for the fire danger weather index value (HTZ) of the forest steppe is given, and a calculation result is unified with the current standard.

The invention provides a trigger mode switching method and device. The method comprises the following steps: determining a weather index score according to radar data sent by a ranging radar; comparing the weather index score with a preset threshold, and determining a target trigger mode according to a comparison result; and sending an instruction to a camera, the instruction being used for indicating the target trigger mode to the camera and indicating the camera to switch a current trigger mode to the target trigger mode. According to the invention, the technical problem of low working efficiency of the camera in the prior art is solved, and the working efficiency and snapshot rate of the camera are improved.

The invention relates to a new energy power generation prediction method and system, belongs to the technical field of new energy power generation, and solves the problem of lack of data reference forpower grid dispatching and power transaction in the prior art. The method comprises the steps: obtaining historical power generation data and historical weather data of a target area and weather forecast data of a target prediction date; obtaining the influence rate of the weather index on new energy power generation according to the historical power generation data and the historical weather data; and carrying out predicting according to the influence rate of the weather index on new energy power generation and the weather forecast data of the target prediction date to obtain the power generation load and the power generation capacity of new energy power generation. According to the method, the influence rate of the weather index on new energy power generation is obtained according to the historical power generation data, so that the accuracy of new energy power generation prediction is improved, and data reference is provided for power grid dispatching and power transaction.

The invention discloses a weather index insurance calculation method. The method comprises: calculating an optimal segmentation time window of all types of meteorological elements of each scenic spot;calculating an optimal probability distribution function of different segmentation times of all the types of meteorological elements of each scenic spot according to the optimal segmentation time window; calculating a dynamic tourist quantity weight of any future time period of each scenic spot; and calculating a tour weather index insurance pure-premium rate according to tour orders, the optimalprobability distribution function and the dynamic tourist quantity weight. The embodiment of the invention also discloses an electronic device and a computer-readable storage medium. Therefore, weather index insurance calculation under a multi-scenic-spot travel tour scene can be realized, pricing is accurate, and the multiple types of meteorological elements are supported.