24 results about "Sunshine duration" patented technology

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 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 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.

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.

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 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.

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.

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.

Provided in the present disclosure are a grid-exported power assessment method and apparatus, and an electronic device and a storage medium. The method comprises: on the basis of site environment data, site meteorological data and project design data of a photovoltaic power station, calculating the average system efficiency of the photovoltaic power station; analyzing the site meteorological data, so as to determine the peak sunshine duration of the photovoltaic power station; analyzing the project design data to determine the power degradation of the photovoltaic power station, and using the power degradation to calculate the peak generation power of the photovoltaic power station; and on the basis of the average system efficiency, the peak sunshine duration and the peak generation power, calculating the power generation capacity of the photovoltaic power station within a preset period of time. Compared with the prior art, in the embodiments of the present disclosure, site environment data, site meteorological data and project design data are taken into comprehensive consideration, such that the actual operation situation of a photovoltaic power station can be reflected more comprehensively; and on the basis of the calculation results, the power generation capacity of the photovoltaic power station within a preset period of time can be accurately estimated, thereby providing an important basis for predicting the income of the power station and assessing the economic benefit of the power station.

The invention discloses an urban solar energy potential assessment method based on an individual visual angle of a building. The method comprises the following steps: acquiring surface temperature data, air quality data, a digital elevation model, cloud cover data, sunshine duration data and building footprint data; constructing an illumination intensity index based on the surface temperature data, the air quality data and the digital elevation model; on the basis of the cloud cover data, combining with the sunshine duration data to construct an effective illumination duration index; based on the building footprint data, the illumination intensity index and the effective illumination duration index are combined, the solar energy potential evaluation index of the individual building is calculated, and the higher the solar energy potential evaluation index of the individual building is, the larger the solar energy potential of the city is. The method is high in calculation efficiency and accurate in evaluation result, provides a reference index for solar energy potential of buildings in various regions, has real-time performance and dynamic performance, provides powerful guidance for effective utilization of intermittent solar energy, indicates a direction for comprehensive application of energy, and reduces unnecessary fund and manpower waste.

The invention relates to an automatic valet parking system and an automatic valet parking method. And carrying out parking processing of automatic valet parking. In the entry processing, equipment information indicating an entry object of a vehicle that is an object of the entry processing is acquired. In addition, in the storage processing, based on the equipment information, it is determined whether or not the equipment to be stored includes the solar power generation system. Furthermore, in the parking processing, when the parking object belongs to a non-solar power generation vehicle without a solar power generation system as a result of the determination based on the equipment information, the parking space utilization information in the predetermined area and the sunshine duration information in the predetermined area are used to determine the parking space utilization information in the predetermined area. And generates guidance information for guiding the storage object to a parking space having a short sunshine duration based on the execution time of the storage processing.

The invention relates to the field of building photovoltaic design, and discloses an auxiliary design method and system for a building carrying photovoltaic panel, and the method comprises the steps: obtaining the minimum installed capacity corresponding to a photovoltaic demand degree when the photovoltaic demand degree is greater than or equal to a building energy consumption matching degree index; determining a plurality of candidate areas according to the minimum installed capacity, the bearing data of each area of the building, the annual sunshine duration data, the installable area data and the shielding rate data; obtaining power generation capacity standard-reaching rates of the plurality of candidate areas; when the power generation capacity standard-reaching rate of the plurality of candidate areas is greater than or equal to a preset power generation capacity standard-reaching rate, determining the product of the building energy consumption matching degree and the building energy consumption matching degree weight, and the sum of the product of the annual power generation capacity standard-reaching rate and the annual power generation capacity standard-reaching rate weight as a photovoltaic scheme score value; and determining a plurality of candidate areas of which the photovoltaic scheme score values are greater than or equal to a preset photovoltaic scheme score value as recommended photovoltaic design schemes. According to the invention, the scientificity and accuracy of the design of the photovoltaic panel carrying scheme can be improved.

The invention relates to the technical field of photovoltaic power generation, and particularly provides a thermal power plant photovoltaic array dynamic light following system based on multi-dimensional modeling and intelligent control. The system comprises a multi-dimensional dynamic modeling module, a regional adaptive light following control module, a hot spot intelligent prediction and protection module and a digital twinning and intelligent operation and maintenance module. The multi-dimensional dynamic modeling module is fused with laser radar, oblique photography and remote sensing images to construct a three-dimensional model of the plant area of the thermal power plant; a dynamic shielding source identification mechanism is introduced, and a shielding model is dynamically updated in combination with factory operation data; based on a sun trajectory algorithm, generating an annual dynamic shadow thermodynamic diagram, and guiding the initial layout of the photovoltaic module; the grid irradiation analysis is adopted to divide illumination level areas, a factory area is divided into a plurality of illumination level areas, the areas with the annual sunshine duration larger than 1200 hours are preferentially selected for plate distribution, and efficient, safe and intelligent operation of a photovoltaic system is achieved through the system.

The invention provides a near-ground received radiation quantity calculation method, and belongs to the technical field of solar energy resource evaluation, and the method comprises the steps: S1, obtaining the historical data of astronomical parameters of a to-be-calculated region, the astronomical parameters comprise a radiation period, a solar constant, geographic latitude, a sun-earth distance, solar declination, sunrise and sunset hour angles, total ground radiation quantity, sunshine duration, half-day sunshine duration and astronomy difference; s2, dividing the historical data of the astronomical parameters into twenty-four groups according to solar terms; s3, based on grouping, 24 ground total radiation quantity calculation equations are constructed respectively; the historical data of the astronomical parameters are divided into twenty-four groups according to the solar term days over the years, the time range is refined through the ground total radiation quantity calculation formula of each group, the linear regression relation between the ground total radiation quantity and the sunshine percentage is accurately fitted, and the deviation between the measured data of the meteorological station and the formula calculation result is remarkably reduced.

This invention belongs to the technical field of evaluating thermal defects in building envelopes using heat conduction measurement, specifically involving a field testing method for the thermal insulation performance of prefabricated near-zero energy building exterior walls. The method includes: acquiring environmental data sequences from a micro-weather station and verifying constraints related to precipitation, wind speed, and sunshine duration; acquiring the target seam detection area and determining a seamless benchmark comparison area; acquiring multiple frames of infrared thermal images and performing inter-frame affine transformation alignment to obtain aligned temperature sequences for the two areas; obtaining a relative temperature difference sequence based on the difference between the two temperature sequences; identifying the heat storage and dissipation characteristics of the relative temperature difference sequence and removing areas that meet these characteristics; calculating the variance and mean of the relative temperature difference sequence for the unremoved areas, and determining them as true through-type thermal bridge defects based on preset variance and mean thresholds; acquiring the defect pixel coordinates and converting them to building physical coordinates, matching prefabricated node attributes, and generating repair instructions. This invention continuously tracks the evolution of the relative temperature difference between the seam and the intact insulation area, separating natural heat dissipation from continuous heat leakage via thermal bridges, and inversely mapping the digital detection coordinates to the physical wall surface to guide repair.