43 results about "Sunshine duration" patented technology

The invention provides a drought and flood sudden turning event identification method, device and system, and relates to the technical field of water resource management, and the method comprises the steps: determining a research region and time period, collecting rainfall, sunshine duration, wind speed, pressure, humidity and air temperature data, carrying out the linear difference of vacant data, and carrying out the data preprocessing; constructing a rainfall difference comparison index for judging the sudden change degree of the drought and flood sudden change event; calculating a standardized rainfall evapotranspiration index for judging and identifying drought and flood events; establishing a grading standard of drought and flood events, and classifying the severity of the identified drought and flood events; and combining the rainfall difference comparison index with a standardized rainfall evapotranspiration index to construct a drought and flood sudden turning index for analyzing the sudden turning intensity. According to the method, the influence of rainfall intensity change on the flood disaster event is fully considered, and the occurrence process and severity level of the drought and flood sudden change event can be effectively and accurately identified.

A high-precision solar resource assessment method based on a downscaling method for complex terrain includes steps as follows. Step (1): an average climatic field is calculated based on monitoring data of sunshine durations, climatic field interpolation results are obtained based on the average climatic field, and a climatic field is created. Step (2): a difference between data of the sunshine durations and the climatic field is calculated, anomaly field interpolation results are obtained based on the difference, and an anomaly field is created. Step (3): the climatic field interpolation results and the anomaly field interpolation results are overlayed. Step (4): bias adjustment is performed on the high-precision sunshine duration interpolation results obtained in the step (3) based on the monitoring data of the sunshine durations to obtain final results. Step (5): daily solar radiation is estimated based on the sunshine durations and extraterrestrial solar radiation.

The invention provides an intelligent early warning method for high-altitude operation falling risks of railway station canopy transformation. Comprising the following steps: inputting canopy component parameters, reference values and weight coefficients, and starting all sensors to carry out data calibration so as to remove abnormal values; the real-time environment temperature, the cumulative sunshine duration of the day, the component surface humidity and the real-time wind speed of an operation point are collected through the multi-dimensional environment sensing module, and the component actual measurement thickness and the component vibration speed are collected through the canopy component state monitoring module. The total load, the actual operation height and the single-time operation duration of the operation platform are collected through the operation platform state monitoring module, and the respiratory frequency variation coefficient of the operation personnel is collected through the personnel physiology monitoring module; inputting the acquired real-time environment temperature, the accumulated sunshine duration on the day, the surface humidity of the component, the actually measured thickness of the component and the vibration speed of the component into an intelligent early warning calculation module; reliable safety guarantee can be provided for railway station canopy transformation aloft work in regions with remarkable temperature differences.

The invention relates to an intelligent power transformation micro-station equipment energy consumption prediction system and method based on a symbol regression algorithm, and the method comprises the steps: selecting daily average temperature, daily average humidity, sunshine duration t and traffic flow VF as four input features which affect the daily total energy consumption of an intelligent power transformation micro-station; three modules of a symbol regression algorithm based on adaptive iteration and control variable genetic programming: an adaptive iteration module, a control variable module and a genetic programming algorithm module are used for training a standard genetic programming algorithm; and inputting the sorted historical energy consumption data set into an intelligent power transformation micro-station equipment energy consumption prediction model based on a symbol regression algorithm to obtain a total energy consumption prediction value of the intelligent power transformation micro-station on the day. The method can effectively mine the potential relation between the characteristics in the data set, obtains the displayed prediction equation, and accurately predicts the energy consumption of the intelligent power transformation micro-station equipment. The search space of the algorithm can be reduced, the training time of the prediction model is shortened, and the model energy consumption prediction precision is improved.

The application discloses a molecular marker for identifying geographical origin of Populus tomentosa and application thereof, and the molecular marker is located at the 42th base of FPA gene in a poplar genome and has C / A polymorphism, wherein a P. tomentosa individual with a genotype AA of the molecular marker has a shorter annual average sunshine duration, and a P. tomentosa individual with a genotype CC of the molecular marker has a longer annual average sunshine duration. The molecular marker provided by the application has a clear function and a significant effect, and can be directly applied to molecular marker assisted breeding of the poplar; and the molecular marker has environmental adaptability and is suitable for directional introduction of the poplar.

The invention relates to the technical field of three-dimensional geographic modeling, in particular to a land utilization planning auxiliary method and system based on a 3D terrain model, and the method comprises the following steps: obtaining point cloud and elevation information, converting the information into a terrain curved surface, discretizing the information into a voxel grid, analyzing a planning index, converting the planning index into a geometric constraint boundary, and traversing to construct a planning voxel field. Calculating earthwork digging and filling requirements and sunshine hours to generate an evaluation matrix, correcting the building voxel distribution and finely adjusting the terrain elevation. According to the method, terrain refined expression is realized by using an octree segmentation algorithm, indexes such as a plot ratio are converted into three-dimensional space geometric constraints, site suitability is evaluated through connectivity analysis, and building layout and earthwork balance are automatically optimized by adopting morphological operation, so that the problems of lack of space intuition and error accumulation in traditional two-dimensional planning are solved; the planning calculation precision and decision scientificity under the complex terrain are remarkably improved, and dynamic adjustment and visual expression of the scheme are achieved.

In an automated power distribution system equipped with a power generation device such as a solar power plant, the discharge time of a substation is estimated. [Solution] The slave station 2 and master station 3 that constitute the power distribution automation system 1 are equipped with a solar power generation unit 220, a power storage unit 230, and a sunshine measurement unit 240 as functions of the slave station 2, and a prediction unit 342 that predicts the amount of power generated by the solar power generation unit 220 based on the sunshine duration and amount of solar radiation as functions of the master station 3, an estimation unit 343 that estimates the dischargeable time of the power storage unit 230 based on the predicted amount of power generated and the amount of power stored in the power storage unit 230, and a display unit 320 that displays the estimated dischargeable time of the power storage unit 230.

The invention discloses a DEM (Digital Elevation Model) sunshine duration method and system based on GPU (Graphics Processing Unit) and terrain entropy optimization, and belongs to the technical field of geographic information science and space calculation. The method comprises the following steps: firstly, calculating topographic information entropy by using digital elevation model data to quantify topographic complexity of different regions; and the terrain information entropy is used as a self-adaptive driving factor to dynamically adjust the search radius and the search step length of the sun visible range, so that the condition that no shielding exists in a terrain gentle region is quickly judged, and the terrain shielding relationship is finely simulated in a mountain region or a complex terrain region. Besides, the method is realized by adopting a CUDA (Compute Unified Device Architecture) parallel architecture, and is combined with a GPU (Graphics Processing Unit) parallel strategy of partitioning and partitioning, so that the calculation load of high-resolution data is effectively reduced, and the overall operation efficiency and the memory utilization rate are improved.

The invention discloses a distributed photovoltaic output model construction method and system, and an output prediction method and system. The method comprises the following steps: dividing historical distributed photovoltaic output data into photovoltaic output data of each season according to seasons; based on the photovoltaic output data of each season, a distribution interval of a proportionality coefficient, a telescopic coefficient, a translation coefficient and a beta distribution shape parameter in each season is determined by using a least square method, and a basic component model is constructed in combination with a beta distribution model; determining a distribution interval of an autocorrelation coefficient and a random variance correlation coefficient in each time period of each season by using a least square method based on the photovoltaic output data of each season, and constructing a random component model in combination with a colored noise model; constructing a distributed photovoltaic output model considering seasonal characteristics based on the basic component model and the random component model; according to the invention, the proportionality coefficient, the expansion coefficient and the translation coefficient are introduced to describe the output amplitude, the sunshine duration and the peak phase of each season, and the photovoltaic output rules in different seasons are accurately described.

The application discloses a kind of based on earthworm soil immunity strawberry facility environment synergic regulation method and system, belong to strawberry facility planting technical field.This method aims at solving the problem that earthworm activity is difficult to maintain continuously in prior art, environment regulation and biological demand are split.The technical scheme points are as follows: through sensor network, soil temperature, moisture content, oxygen concentration and by image recognition are obtained earthworm manure accumulation rate;These data are input into pre-trained earthworm strawberry symbiosis dynamic model, the model can be switched according to environmental temperature and sunshine duration Winter Energy Saving and conventional symbiosis two modes, and generate corresponding temperature, humidity and oxygen control threshold;Finally, by comparing real-time data and threshold to trigger actuator to carry out synergic environment regulation.This method is mainly used for precise management of environment in strawberry facility cultivation, to synergistically improve earthworm population survival rate and strawberry production efficiency.

Predicts the occurrence of plant diseases and pests with high accuracy. [Solution] The prediction device (1) includes a calculation unit (12) that calculates the current rate of proliferation of plant diseases and pests by referring to at least one of the information indicating the temperature, humidity, and sunshine hours around the plant at the present time, and a prediction unit (13) that predicts the current amount of disease and pest occurrence using Bayesian modeling based on the cumulative value of the proliferation rate and the amount of disease and pest occurrence at a time prior to the present time.

The application discloses a DEM sunshine duration method and system based on GPU and terrain entropy optimization, and belongs to the field of geographic information science and spatial computing technology. The method firstly calculates terrain information entropy by using digital elevation model data to quantize the terrain complexity of different regions; and then dynamically adjusts the solar visibility range search radius and search step length by taking the terrain information entropy as an adaptive driving factor, so that the terrain shielding relationship is finely simulated in the mountainous or complex terrain area while the unobstruction is quickly determined in the flat terrain area. In addition, the application is realized by using a CUDA parallel architecture, and the GPU parallel strategy of block partitioning is combined, so that the calculation load of high-resolution data is effectively reduced, and the overall operation efficiency and memory utilization are improved.

The invention discloses a deep learning runoff prediction model based on a three-dimensional network structure and a prediction method thereof. A two-dimensional convolutional neural network is used for extracting nonlinear correlation among multi-dimensional meteorological elements such as air pressure, air temperature, relative humidity, rainfall, evaporation, wind direction and wind speed, sunshine duration and ground temperature; and discrete site data is mapped into a spatial continuous grid by adopting an inverse distance weighted interpolation (IDW) method, so that the omnibearing description of the driving runoff change is realized. Long and short term dependence is captured in combination with BiLSTM, and an Attention mechanism dynamically focuses on key meteorological events, so that the model has higher robustness when processing time sequence characteristics, and the defects that a traditional method is strong in dependence on a single factor and is easily influenced by local anomaly are effectively overcome.

1. The name of the design product: light radiation sensor. 2. The use of the design product: for monitoring light intensity, total radiation, sunshine hours, ultraviolet intensity and other light source data. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

A step-shaped three-dimensional cultivation frame comprises supporting plates, a cross beam is arranged between the two supporting plates, the two ends of the cross beam are fixedly connected with the inner sides of the two supporting plates respectively, a folding sunshade is arranged behind the two supporting plates and comprises a storage box and supporting plates, the front portion of the storage box is fixedly connected with the rear portions of the two supporting plates, and the supporting plates are fixedly connected with the storage box. The support is located in front of the supporting plate, cultivation grooves are formed in the upper portion of the support and the upper portion of the supporting plate, plants with saturated sunlight can be shaded through the folding plate and the sliding plate, damage to the plants due to too sufficient sunlight is prevented, and when sunlight is insufficient in cloudy days, the planting lamps can prolong the illumination time of the plants to promote growth of the plants; by means of the device, the sunshine duration of the plants can be adjusted, and stable growth of the plants is promoted.

The invention provides a northwest region sunshine duration prediction method and system, and belongs to the technical field of data processing, and the method comprises the steps: obtaining the altitude of a target city and historical data of multiple days, obtaining the update assignment of the relative sunshine duration under each weather type in the first update seven-score method of the target city and the specific relative sunshine duration of the target city in each day; and obtaining a prediction model of the relative sunshine duration of the target city according to the specific relative sunshine duration, the actual daily maximum temperature, the actual daily minimum temperature, the actual wind speed, the daily ordinal number and the actual weather type of the target city in each day and the update assignment of the relative sunshine duration under each weather type. The invention aims to solve the problem that the difference between the sunshine duration of a target city and the actual sunshine duration forecasted by the current seven-division method is too large because the current seven-division method has high universality and cannot reflect the unique characteristics of each city and each day.

The invention discloses a TCN-GLU-Attention-based load energy consumption prediction method and device, equipment, a medium and a product, and relates to the field of load energy consumption prediction, and the method comprises the steps: obtaining a current load energy consumption sequence; the current load energy consumption sequence is input into a load energy consumption prediction model to predict future load energy consumption, a future load energy consumption sequence is obtained, and the load energy consumption prediction model takes a historical sample load energy consumption sequence as input and takes external auxiliary features as labels to train a TCN-GLU-Attention network; the external auxiliary features comprise air temperature, humidity, wind speed, sunshine duration, holidays and festivals and workdays; the TCN-GLU-Attention network comprises a TCN network, a GLU network, a multi-head attention mechanism network and a position feedforward network; according to the invention, the prediction precision of load energy consumption prediction is improved.

The system according to this embodiment aims to collect and analyze environmental data in agriculture, provide optimal cultivation advice, and automatically control the environment. [Solution] The system according to the embodiment comprises a collection unit, an analysis unit, and a control unit. The collection unit collects data such as sunshine duration, temperature, humidity, and moisture content. The analysis unit analyzes the data collected by the collection unit and provides optimal cultivation advice. The control unit automatically controls the environment based on the analysis results obtained by the analysis unit.

The application provides a northwest region sunshine duration prediction method and system, and belongs to the technical field of data processing. The method comprises the following steps: obtaining the altitude of a target city and historical data of multiple days to obtain the updated assignment of the relative sunshine duration of each weather type in the first updated seven-point method of the target city and the specific relative sunshine duration of the target city on each day; and obtaining a prediction model of the relative sunshine duration of the target city according to the specific relative sunshine duration of the target city on each day, the actual daily maximum temperature, the actual daily minimum temperature, the actual wind speed, the day serial number, the actual weather type, and the updated assignment of the relative sunshine duration of each weather type. The application aims to solve the problem that the current seven-point method has too strong universality and fails to reflect the unique characteristics of each city and each day, so that the difference between the sunshine duration of the target city predicted by the current seven-point method and the actual sunshine duration is too large.

An agricultural light complementation method relates to the technical field of agricultural light complementation and comprises the following steps: acquiring parameters of a photovoltaic laying target area and constructing a simulation model, and performing simulation calculation to obtain track data of a sunlight shielding shadow in a photovoltaic sunshine duration; a light supplementing mechanism is arranged in the simulation model according to the track data of the photovoltaic shielding shadow, and the light supplementing mechanism dynamically guides light to a photovoltaic shielding shadow area; the positions of the photovoltaics and the light supplementing mechanism are adjusted until the shading shadow area between the photovoltaics and the shading shadow area of the light supplementing mechanism on the photovoltaics and the crops are lower than a threshold value; the position parameters of the photovoltaic and light supplementing mechanism and the parameters of the light supplementing mechanism are output, the parameters of the light supplementing mechanism comprise the size parameters and the dynamic control parameters, the light supplementing mechanism is additionally arranged, the positions of the photovoltaic and light supplementing mechanism are optimized, and light supplementing is conducted on crops below the photovoltaic device while shielding is reduced as much as possible; the crop photosynthesis and growth rhythm effects are effectively improved.

This invention discloses an AI-based climate-adaptive elderly care and health building design optimization system, relating to the fields of building design optimization and smart health management technology. It includes a state assessment module, a counterfactual diagnosis module, and an evolution path module. The system acquires building operational characteristics and dynamic meteorological parameters for sample augmentation and nonlinear mapping training. It locates failure points in the set of design variables for health and health buildings, and uses counterfactual path optimization to pinpoint the minimum intervention sequence. It then performs causal contribution measurement and semantic encapsulation to generate a decision evolution path. This invention can accurately locate environmental failure risks. Using the architectural design standards for elderly care facilities as constraints, it coordinates the control of winter solstice sunshine duration, summer shading needs, and indoor thermal environment in elderly activity spaces. This achieves a balance between sunshine compliance, age-friendly thermal safety, and environmental load in health and health buildings, improving the living comfort and climate adaptability of elderly care buildings.

The invention discloses a building global sunshine analysis method based on a live-action three-dimensional model, and the method comprises the steps: calculating a sunshine vector according to a time window, the number of analysis days, a moment list and the latitude and longitude of a location, and carrying out the loading, normal vector correction, roof recognition and adaptive subdivision of a building model. And for the subdivided building model, constructing a ray parallel to the sunlight direction by taking the center point of the surface as a starting point, judging whether the surface is shielded or not through ray-grid intersection detection, and calculating the sunshine duration of the triangular surface. And further calculating direct radiation, scattered radiation and ground reflection radiation of the surface, and estimating the total irradiance of the triangular surface. And calculating a mean value of all results on the time sequence to obtain a comprehensive sunlight analysis result. And matching an analysis result with a model surface index, exporting a data table, and embedding a surface patch color into a model for storage.

The invention discloses a high-pier bridge time-varying environment effect self-adaptive perpendicularity control system and method which are used for perpendicularity real-time monitoring and dynamic correction in high-pier bridge construction. According to the on-site concrete time-varying test method, a test piece is synchronously manufactured on a pouring site, a sensor is installed, and concrete time-varying parameters are monitored in real time; according to the multi-element environment monitoring networking technology, sunlight, wind speed, wind direction and temperature and humidity data are collected in real time by arranging a meteorological station array; a multi-source data alignment and parameter spectrum generation technology is adopted to construct a time-space synchronous parameter spectrum; an environment-time-varying coupling influence matrix calculation method, wherein a sunlight gradient temperature field and wind-induced vibration displacement are solved based on a parameter spectrum; according to the linear real-time dynamic correction method, discrete modulus pre-correction and post-pouring closed-loop correction are carried out, parameters are iteratively updated through comparison of actually measured values and predicted values, and perpendicularity dynamic adjustment is achieved. The method eliminates the environment difference between a laboratory and a site, improves the response speed, reduces the deviation correction frequency, and saves the construction period.

The application provides an automatic observation sunshine duration quality detection method, device and equipment and a storage medium, and relates to the technical field of data quality detection. The method comprises the following steps: acquiring observation station basic features, environmental features and sunshine picture shooting features of a target observation station; performing sunshine duration prediction and scene inspection according to the observation station basic features, the environmental features and the sunshine picture shooting features, and obtaining predicted sunshine duration and sunshine duration observation scenes of the target observation station; performing first quality detection on the automatic observation sunshine duration to be detected according to the predicted sunshine duration, and determining the confidence of the first quality detection result according to the sunshine duration observation scenes; determining suspicious data in the first quality detection result according to the confidence, and performing spatial consistency inspection and sunshine picture consistency inspection on the suspicious data, and updating the first quality detection result and the confidence according to the inspection result. The application can improve the accuracy and reliability of the automatic observation sunshine duration data.

The invention relates to the technical field of agricultural information, in particular to a rice and wheat crop growth stage dynamic division system and a method thereof.The rice and wheat crop growth stage dynamic division system comprises a data acquisition module which is deployed in a field and comprises a soil sensor, a weather station, crop growth monitoring equipment and a user input terminal, the weather station is used for collecting temperature, sunshine duration, rainfall and air humidity, the crop growth monitoring equipment comprises an unmanned aerial vehicle and a camera and is used for obtaining plant height, leaf color and tiller number, and the user input terminal is used for receiving crop variety and sowing time; according to the invention, multi-dimensional information of soil, weather, crop growth and the like is comprehensively obtained by integrating multiple means of a ground sensor, an unmanned aerial vehicle, satellite remote sensing and the like, and the accuracy and comprehensiveness of growth stage division are improved; the weight coefficient of each type of data is adjusted according to the characteristics of different growth stages, so that the system can more accurately capture the key nodes of crop development.

Provided in the present application is a method for accelerating Medicago sativa L. breeding by utilizing photoperiod induction. In the method, the flowering of seed seedlings of Medicago sativa L. is induced by using the following conditions: sunshine duration: 20-22 hours; light quality ratio: white light, blue light, red light, and far-red light; light intensity: 10,000-40,000 lx; and temperature: 23-26 degrees Celsius. According to the method of the present application, the spatiotemporal constraints in Medicago sativa L. breeding can be broken, and 4-6 generations of seeds are harvested within one year. The method has good application prospects in Medicago sativa L. breeding research and production.

Vehicle storage processing of automated valet parking is performed. In the vehicle storage processing, equipment information on a vehicle storage target indicating a vehicle that is a target of the vehicle storage processing is acquired. Moreover, in the vehicle storage processing, whether a solar power generation system is included in equipment of the vehicle storage target is determined based on the equipment information. Further, in the vehicle storage processing, when the vehicle storage target corresponds to a non-solar power generation vehicle that does not include a solar power generation system as a result of determination based on the equipment information, guidance information for guiding the vehicle storage target to a parking space having a shorter sunshine duration with reference to an execution time of the vehicle storage processing is generated, based on usage information of the parking space within a predetermined area and sunshine duration information within the predetermined area.

A high-precision solar resource assessment method based on a downscaling method for complex terrain includes steps as follows. Step (1): an average climatic field is calculated based on monitoring data of sunshine durations, climatic field interpolation results are obtained based on the average climatic field, and a climatic field is created. Step (2): a difference between data of the sunshine durations and the climatic field is calculated, anomaly field interpolation results are obtained based on the difference, and an anomaly field is created. Step (3): the climatic field interpolation results and the anomaly field interpolation results are overlayed. Step (4): bias adjustment is performed on the high-precision sunshine duration interpolation results obtained in the step (3) based on the monitoring data of the sunshine durations to obtain final results. Step (5): daily solar radiation is estimated based on the sunshine durations and extraterrestrial solar radiation.

The application relates to an automatic parking control method and device for vehicle sun protection, and belongs to the technical field of automatic parking. The control method comprises the following steps: generating a three-dimensional map model of a parking lot where a vehicle is located and a first preset range around the parking lot; generating a model sunshine map with a granularity of seconds in a day on the three-dimensional map model to obtain a sunshine map set; determining whether there is a sun-proof empty parking space according to the sunshine map set and real-time information of parking spaces in the parking lot; if there is a sun-proof empty parking space in the parking lot, taking the parking space with the shortest sunshine duration in a first preset time duration as a target parking space, and controlling the vehicle to automatically park in the target parking space; through the above scheme, the target parking space can be determined and selected before the vehicle is automatically parked, the target parking space is a parking space not directly irradiated by the sun, the vehicle can be effectively prevented from being exposed to the sun to cause aging of the vehicle, and therefore the service life of vehicle paint and interior decoration of the vehicle is effectively prolonged.

Embodiments of the present application provide a method, device, processor and storage medium for predicting growth period of crops. The method comprises: determining crop variety and current cultivation method of crops to be predicted; obtaining a plurality of standard accumulated temperature values corresponding to the crop variety and the cultivation method, wherein the standard accumulated temperature values correspond to each growth period of the crops under each cultivation method; obtaining daily average temperature and sunshine duration of the crops to be predicted; determining predicted accumulated temperature values of the crops to be predicted in each growth period when the crops to be predicted are cultivated according to the cultivation method, according to the daily average temperature and the sunshine duration; and determining the growth period of the crops to be predicted as the growth period corresponding to the standard accumulated temperature value matched with the predicted accumulated temperature value. The above technical solution can quantify the influence of different cultivation methods on the accumulated temperature required for crop growth, and ensure that the growth period of crops can be accurately predicted when different cultivation methods are adopted.