104 results about "Solar azimuth angle" patented technology

The present invention relates to a solar azimuth estimation method and system based on multi-channel feature enhancement and region-aware attention, belonging to the technical field of intelligent navigation for low-altitude economy unmanned systems. Aiming at the problem of decreased accuracy in solar azimuth estimation based on polarization images under complex cloud cover conditions, the present invention proposes a deep learning framework integrating multi-channel features and direction-aware attention. First, based on polarization light field information acquired by a division-of-focal-plane polarization camera, a three-channel composite input feature composed of a polarization intensity map, an adaptive threshold gradient map, and high-frequency residual edge information is constructed. Second, a ResNet backbone network embedded with a squeeze-and-excitation mechanism is adopted, and a direction-aware polarization attention module is introduced to achieve adaptive fusion of multi-scale features through luminance guidance, deep feature enhancement, and a gradient edge branch.

The invention relates to the technical field of solar irradiance prediction, and discloses a solar irradiance prediction method and system based on data fusion, and the method comprises the steps: obtaining a cloud layer gray image, a wind speed vector, a terrain elevation, a slope inclination angle, a solar azimuth angle and an elevation angle, calculating the movement speed and direction of a cloud layer based on the cloud layer image and the wind speed vector, and obtaining a prediction result. Calculating a shielding path in combination with a terrain elevation and a sun position; generating a terrain shielding influence coefficient matrix; fusing a gradient and shielding data to generate a dynamic effect graph; performing cloud-ground shielding analysis based on the dynamic effect graph and a cloud trajectory to obtain cloud-ground coupling influence distribution; using a random forest algorithm to fuse the coupling distribution and the shielding coefficient to calculate an initial irradiance probability, and forming a preliminary prediction result; and inputting the time sequence prediction model, the cloud trajectory and the shielding coefficient into a trained time sequence prediction network, and outputting an optimization result. According to the method, prediction requirements under complex terrains and rapid weather changes can be met.

The invention discloses a photovoltaic power generation intelligent control system of photovoltaic panels in an optical storage direct flexible system, and relates to the technical field of photovoltaic power generation, the intelligent control system comprises a plurality of photovoltaic panel assemblies, the plurality of photovoltaic panel assemblies comprise main node assemblies, one main node assembly is arranged every 5-10 groups of photovoltaic panel assemblies, and the main node assemblies are connected with the photovoltaic panel assemblies; the master node assembly is configured with a high-precision double-axis sun sensor and an edge calculation module and is responsible for collecting a solar azimuth angle, a current inclination angle of the assembly and environment temperature and humidity data in real time, and the slave node assembly is configured with a single-axis inclination angle sensor and adjusts a tracking angle by receiving a master node instruction. Specifically, a master-slave node heterogeneous design is adopted, the slave node only needs a single-axis tilt angle sensor and a wireless communication module, the hardware configuration number is reduced, and cost control is achieved. According to the method for photovoltaic panel tracking optimization, the control instruction quantity of the system is reduced, the central control pressure is remarkably reduced, and the problems of cost and complexity during large-scale application of photovoltaic panel tracking are solved.

The invention discloses a radiation correction method and system for an airborne hyperspectral imager. The radiation correction method and system are used for improving the radiation correction precision in complex weather. The method comprises the following steps: calculating a theoretical sun position based on unmanned aerial vehicle initial coordinates, ephemeris data and atmospheric parameters; performing course and differential compensation on a solar azimuth angle by combining IMU course and wind speed and direction data, performing refraction correction on an elevation angle, and outputting a high-precision sun position parameter; hyperspectral images and irradiance data are synchronously acquired, quaternion interpolation is combined with IMU data to realize space-time alignment, and attitude disturbance is eliminated; a hemispherical space irradiance model is constructed based on alignment data, cloud layer modes (clear sky, thin cloud and thick cloud) are divided according to atmospheric optical thickness variance, and Lambert body proportion correction, a discrete longitudinal standard method or a deep convolutional spectral network are respectively adopted for radiation correction. The method remarkably improves the correction precision and generalization ability, supports large-area image splicing, and is suitable for quantitative application of geological exploration, environment monitoring and the like.

The invention discloses an eye protection display control method and system based on ambient light, a medium and a product, and relates to the field of data processing. The method comprises the following steps: acquiring data such as vehicle internal environment illumination, a solar azimuth angle, a driving posture and relative positions of eyes of a driver and a display screen; based on the data, determining an estimated glare area and corresponding intensity within a preset time by analyzing the reflection condition of external illumination on the surface of the display screen; defining a target dimming area from a polymer dispersed liquid crystal dimming layer on the surface of the display screen according to the pre-estimated glare area; determining a driving voltage parameter of the target dimming area according to the estimated glare intensity so as to adjust the scattering degree of the target dimming area; and dynamically optimizing the display effect of the pre-estimated glare area in combination with the environment illumination data, the display content of the glare area and the scattering degree. The problem that the eyesight of a driver and the driving safety are affected due to the fact that a glare area is formed on the surface of the vehicle-mounted display screen by ambient light can be relieved.

The invention provides a photovoltaic tracking support angle optimization and power generation efficiency improvement method for meteorological prediction, and relates to the technical field of meteorological prediction, and the method comprises the steps: building a deep neural network model through receiving meteorological data, predicting future meteorological data, calculating a solar azimuth angle and an elevation angle, and building a photovoltaic tracking support motion constraint model for safety risk avoidance. And an optimal angle sequence is optimized and solved by adopting an improved dynamic programming algorithm, and an angle adjusting instruction is generated to control the bracket to adjust. According to the invention, the power generation efficiency of the photovoltaic module is improved, and the safety of the system in severe weather is ensured.

The invention discloses an urban green land carbon sink dynamic monitoring method based on multi-source remote sensing data. The method comprises the following steps: acquiring spectral data, a solar azimuth angle and an elevation angle corresponding to the spectral data, meteorological data and vegetation state data; processing the spectral data by using a two-channel convolution model to obtain a vegetation parameter vector; processing the spectral data and the solar azimuth angle and the elevation angle corresponding to the spectral data by using a photosynthetically active radiation dynamic model to obtain photosynthetically active radiation; and according to the meteorological data, the photosynthetically active radiation, the vegetation state data and the vegetation parameter vector, calculating the carbon sink intensity by using a dual-time scale LSTM network. The method is high in calculation timeliness and calculation accuracy.

The invention belongs to the technical field of photovoltaic power generation, and provides a photovoltaic module dip angle and azimuth angle optimization method and system based on hour electricity price, and the method comprises the steps: firstly determining a solar elevation angle and a solar azimuth angle according to a geographic position; determining an incident angle between sunlight and the surface of the photovoltaic module according to the solar elevation angle and the solar azimuth angle; then, according to the incident angle and the irradiation data, the hour effective radiation power of the photovoltaic module under any angle combination is determined, so that the total generation power is obtained; constructing a unit area annual income objective function by using the hour electricity price as a weight; and finally, according to the objective function, determining an optimal combination of the inclination angle and the azimuth angle of the photovoltaic module. Hour-level sun position calculation and incident angle radiation modeling are introduced, and a revenue function is constructed by taking the hour-by-hour electricity price as a weight, so that the optimal combination of the dip angle and the azimuth angle of the photovoltaic module under the optimal economical efficiency is realized.

The invention discloses a fan height measuring method and device based on a high-resolution satellite image shadow. The method comprises the following steps: extracting a fan shadow by using a shadow extraction model based on a high-resolution satellite image containing a fan; the method comprises the following steps of: segmenting and removing a shadow mask of a fan blade by combining solar azimuth information with a straight line-by-line scanning method, and retaining a shadow mask of a fan tower; and calculating the shadow length of the fan tower according to the shadow mask of the fan tower, and calculating the fan height according to the shadow length of the fan tower. According to the invention, the fan height information can be rapidly obtained in a large range, the fan height can be accurately measured and calculated, and manpower and cost can be saved.

The invention discloses a town building planning and designing method and system based on surveying and mapping modeling, and the method comprises the steps: obtaining vector data, a digital elevation model and a digital orthoimage of a planning region, and carrying out the coordinate projection and attribute information preprocessing; performing batch three-dimensional modeling on the vector data by using a CityEngine platform and a CGA rule file to generate a planning three-dimensional model including roads, buildings and greening facilities, and realizing detail iteration through a cascade rule; the planning three-dimensional model and the live-action three-dimensional oblique photography model are fused, and seamless splicing of the models is ensured through local terrain leveling processing and elevation adjustment; performing sunshine analysis based on the fused three-dimensional scene, calculating a solar altitude angle, a solar azimuth angle and a time angle, simulating sunshine time and a shadow area, and optimizing the building layout; and finally, through a three-dimensional line-of-sight analysis algorithm, assessing intervisibility conditions and view fields of the key nodes, generating a view field body model, and adjusting the building layout and density.

The invention relates to the technical field of automobile body paint weather resistance testing, in particular to a sunlight self-following reflection system and a control method, and the sunlight self-following reflection system comprises a buried support, a rotation driving mechanism, a rotation platform and a mirror reflection mechanism. The rotary driving mechanism rotates by 360 degrees in a horizontal plane through a driving unit, so that the direction of a vehicle head is always aligned with a solar azimuth angle; the mirror reflection mechanism adjusts the pitching angle of a reflection plate through a micro motor, and it is ensured that sunlight is projected to the surface of a vehicle body with a preset standard irradiance value. The system further comprises an air supply mechanism and an online measuring instrument which are used for cooling, dedusting and tracking the position of the sun in real time. According to the invention, test errors caused by solar altitude changes and regional differences can be eliminated, and the comparability and repeatability of test results are significantly improved.

The present invention belongs to the field of architectural design and discloses a method for calculating a building's solar energy acquisition potential index. The method comprises the following steps: obtaining the solar azimuth and solar altitude corresponding to sunrise and sunset to form a fan-shaped calculation range, and obtaining a plurality of calculation line segments within the fan-shaped calculation range; obtaining the tangent value of the solar altitude at the time corresponding to the calculation line segment, and the ratio of the height of the blocking building to the distance between the blocking building and the building to be measured, and subtracting the tangent value of the solar altitude from the ratio to obtain a difference; obtaining the approximate direct solar irradiance at the time corresponding to the calculation line segment, and assigning the approximate direct solar irradiance as a weight to the difference to obtain a weighted value; obtaining the central angle ratio of the area to be measured, and obtaining the building shielding factor of the building to be measured based on the central angle ratio and the weighted value. The present invention can be used to compare, select, and optimize different building complex layout plans from the perspective of solar energy acquisition potential.

The invention provides an unmanned aerial vehicle path planning method and system based on adaptive dynamic planning. The method comprises the following steps: calculating a solar azimuth angle according to an atmospheric polarization mode, compensating course drift of a visual odometer by using the solar azimuth angle, and generating corrected unmanned aerial vehicle position information; according to the illumination invariant edge information, combining a convolutional neural network, segmenting a key landmark in the texture enhanced image, and generating a semantic navigation landmark point sequence in a constraint space of the key landmark by adopting a bidirectional fast random tree; constructing a model prediction controller according to the semantic navigation road sign point sequence; and through the corrected position information, the flight path of the unmanned aerial vehicle is optimized in a rolling manner through adaptive dynamic planning under the constraint of a dynamic window, and the field angle and exposure parameters of the dual-band imaging unit are adjusted. According to the invention, the autonomous navigation precision and semantic understanding capability of the unmanned aerial vehicle in a complex light environment are improved, and anti-interference and high-precision autonomous path planning and flight control are realized.

The invention belongs to the technical field of photovoltaic power generation, and discloses a distributed roof photovoltaic module maximum generating capacity arrangement method and system, and the method comprises the steps: obtaining the position information and image information of a project location, and carrying out the calculation to obtain a solar altitude angle and a solar azimuth angle; calculating to obtain a shadow union set according to the altitude angle and the azimuth angle of the sun; based on the shadow union set, obtaining an available area of the final arrangeable component; and after the available area is obtained, carrying out optimal position arrangement on the photovoltaic module by taking the maximum generating capacity and the highest coverage rate as targets. According to the distributed roof photovoltaic module maximum generating capacity arrangement method, on the premise that design safety is guaranteed, the photovoltaic module arrangement design period can be greatly shortened, and the land utilization rate and the generating efficiency can be further improved through algorithm optimization.

The application provides a method, device, equipment and medium for reducing image shooting requirements, and relates to the field of computer vision. The method comprises: collecting multi-view images of a scene to be rendered; sampling on a camera ray corresponding to a given pixel point to obtain a sampling point coordinate and a view direction; calculating a hour angle h, an declination δ' and a solar elevation angle θ s , a solar azimuth angle Φ s , obtaining a global light direction vector, and encoding; encoding the shooting time of the image; inputting the sampling point coordinate, the view direction, the light encoding and the time encoding into a neural network to obtain the color and the volume density of the sampling point under the corresponding view; obtaining the final predicted pixel color by using volume rendering, calculating the color loss; and updating the neural network parameters by back propagation. The application can weaken or even eliminate the influence of light changes on outdoor shooting, and reduce the shooting requirements of neural radiance field images.

The present invention discloses a high-precision engineering calculation method and device for the back irradiance of a bifacial photovoltaic module, wherein the calculation method comprises the following steps: (1) inputting relevant parameter information of a photovoltaic power station; (2) simplifying the array into a two-dimensional diagram and calculating the sun position, including the zenith angle and azimuth angle; (3) calculating the ground shadow situation according to the module geometric information and the sun position; (4) calculating the sky viewing factor between rows that can be seen by each ground segment according to the array geometric parameters; calculating the incident angle according to the inclination angle, the module azimuth angle, the solar azimuth angle, and the zenith angle; using the Perez model to decompose the input horizontal direct irradiance and horizontal diffuse irradiance into direct, isotropic diffuse, circumsolar diffuse part, horizon scattering part, and ground reflection part; using the Perez model to calculate the inclined surface diffuse irradiance; (5) calculating the back irradiance after all the above steps are completed. This method simplifies the three-dimensional scene into two dimensions, and simplifies the View Factor method, back shadow analysis, sky view factor algorithm, accurately considers the irradiance received by the ground, and uses the angle-by-angle incidence loss to calculate the irradiance received by the back. It has both high accuracy and high efficiency.

The invention discloses a short-term irradiance prediction method and device based on multi-source data fusion, and the method comprises the following steps: (1) data collection: obtaining meteorological data, actual measurement data of a radiation sensor and astronomical calculation data, and extracting time features; (2) data preprocessing: carrying out ADF unit root test on a global level irradiance sequence; (3) feature selection: screening features having a causal relationship with GHI through Granger causal test; based on XGBoost feature importance analysis, selecting an irradiance historical value and a solar azimuth angle as core input features; (4) model construction and training: processing a multivariable nonlinear relationship by adopting an XGBoost model, and dividing a training set and a test set according to a time sequence; time sequence cross validation is carried out to divide a validation set, and hyper-parameter tuning is carried out through grid search and random search; and (5) evaluation and optimization: using MAE, RMSE and MAPE index evaluation models to visualize a predicted value and actual value time sequence curve. According to the method, a night invalid data screening mechanism, ADF test and Granger causality analysis are introduced to perform feature selection, and time sequence cross validation is combined to perform hyper-parameter adjustment and optimization, so that the irradiance prediction model with high precision and strong generalization ability is realized, and the method is suitable for various photovoltaic application scenes and has wide application prospects. And reliable support is provided for power prediction and power station intelligent scheduling.

A method and a solar panel system (100) are disclosed. Each solar assembly (110) comprises a respective solar panel (200) arranged to rotate, using a hinge assembly (203) connecting to a horizontal rotation axis (HR) of said each solar assembly (110), from a predefined angular position of the solar panel (200) about the horizontal rotation axis (HR) due to wind. The system (100) vertically tracks (A110) the position of the sun by adjusting a tracking azimuth of the solar assembly (110) based on a solar azimuth. The system (100) obtains (A120) a measure of wind in proximity of the solar panel system (100).

The invention discloses a polar axis type solar direct radiation spectrum measurement method and system, belongs to the technical field of solar direct radiation spectrum measurement, and aims to solve the problems that an existing measurement system depends on complex double-axis tracking, has many errors, is high in maintenance cost and is insufficient in latitude adaptability. The system comprises a polar axis rotating reflector and a solar spectrum measurement system, the polar axis rotating reflector directly radiates and reflects the sun with the solar elevation angle of + / -23.5 degrees and the solar azimuth angle of + / -90 degrees to the measurement system, and measurement is achieved in combination with a spectrum reconstruction model. The spectral resolution is superior to 2 nm, the single-point error ranges from-6.83% to 6.61%, the area error ranges from-0.03% to 0.05%, the space-time uniformity is larger than or equal to 99.92%, the structure is simplified, all-year-round all-latitude high-precision measurement without moving tracking is achieved, and the method is suitable for the fields of solar energy development, climate change research and the like.

The invention relates to the technical field of unmanned aerial vehicle remote sensing, in particular to an observation geometric parameter acquisition method and device based on an unmanned aerial vehicle sensor image, and the method can accurately calculate the observation geometric parameter of each observation pixel according to the data during the shooting of the unmanned aerial vehicle sensor image. Comprise a solar zenith angle, a solar azimuth angle, an unmanned aerial vehicle zenith angle, an unmanned aerial vehicle azimuth angle and a relative azimuth angle. According to the technical scheme, the calculation accuracy is high, the result precision of unmanned aerial vehicle image inversion can be improved when the calculation result is substituted into a corresponding model for inversion, and technical support is provided for application of unmanned aerial vehicle remote sensing to crops.

The invention discloses a method for establishing a temperature gradient of a double-layer steel truss girder under solar radiation, which comprises the following steps of: S1, calculating a solar elevation angle alpha s (t) and a solar azimuth angle gamma (t) according to the latitude and longitude of a bridge site, an hour angle and a solar declination; projecting the solar ray vector to the cross section of the main beam according to the included angle xi between the axis of the main beam and the east-west direction to obtain a solar incident angle theta (t) in the cross section; s2, respectively deducing solar radiation areas of an upper-layer bridge floor, a lower-layer bridge floor and web members on the basis of a solar incident angle theta (t) and geometric parameters of the bridge; s3, establishing a temperature field formula related to the solar radiation duration, the air temperature, the material attribute, the surface direction and the coating; s4, temperature gradients of the upper-layer bridge floor, the lower-layer bridge floor and the web members are calculated according to the solar radiation area and a temperature field formula, and the most unfavorable temperature gradient and the corresponding moment are determined; according to the scheme, a reliable temperature working condition basis is provided for temperature effect analysis, stress evaluation and structural design of the double-layer steel truss girder.

The application discloses a red tide polarization database acquisition device and method based on a polarization bidirectional reflection model, belongs to the technical field of data acquisition devices, selects a polarization bidirectional reflection model to perform modeling, and performs data acquisition on related data such as different solar zenith angles, different solar azimuth angles, different observation zenith angles, different observation azimuth angles, different wind speeds, different wind directions, different seawater temperatures and different seawater salinities in different regions of the sea through the red tide polarization database acquisition device. In actual testing, the theoretical formula derivation is compared with the actual acquisition result, if the confidence degree is more than 60%, the model is confirmed to be accurate, otherwise, the model is optimized, secondary modeling is performed to increase the fitting degree of the model, and the purpose of accurately identifying red tide dominant species is achieved, and the prediction accuracy of red tide is improved. The application solves the problems that the existing polarization database lacks data of red tide dominant species, a large amount of manpower and material resources are required to detect and analyze collected red tide water sample, and the efficiency is low and the cost is high.

This invention discloses a geological disaster early warning method based on remote sensing technology, belonging to the field of geological disaster early warning technology. The method includes: acquiring remote sensing image data with at least two different imaging principles within the same geographic unit and the same observation time window; performing geometric correction on the remote sensing image data under a unified coordinate system; and converting the remote sensing image data into corresponding physical quantity data and completing scale consistency processing through sensor response conversion and radiometric calibration; using the remote sensing image data and digital elevation data under the unified coordinate system, calculating the slope and aspect of each pixel, and constructing the light propagation path based on the solar altitude angle and solar azimuth angle. This invention models the influence range of environmental factors from the perspective of propagation structure by constructing light propagation paths and heat diffusion propagation paths under a unified coordinate system and calculating the direction vector field formed by the gravity direction of the slope. This allows anomaly identification to be based not only on numerical changes but also on the analysis of propagation mechanisms.

The utility model relates to the technical field of solar energy, and discloses a solar energy storage steering device which comprises a fixed table, a servo motor arranged in the fixed table, a rotating plate arranged on the top surface of the fixed table and connected with the servo motor, a rotating table arranged on the rotating plate, and a rotary solar panel assembly arranged on the front side of the rotating table. Fixing frames attached to the outer side of the rotating table are arranged on the left side and the right side of the fixing table and extend to the top face of the rotating table, photosensitive plates are arranged on the top faces of the fixing frames, and four photosensitive sensors are arranged on the photosensitive plates in a cross shape. Through the arrangement of the rotating plate, the solar panel can rotate left and right, and under the cooperation of the rotating type solar panel assembly, the solar panel can also rotate in the vertical direction to track the path of the sun more accurately; the four photosensitive sensors are arranged on the photosensitive plate along the cross shape, so that the light intensity difference in different directions can be compared in real time, and the change of the azimuth angle and the elevation angle of the sun can be accurately judged, thereby driving the solar panel to realize accurate tracking.

The invention relates to the field of sea ice remote sensing, and discloses a sea ice thickness measuring method based on solar microwave radiation enhancement, which comprises the following specific steps of: calculating a solar altitude angle and an azimuth angle at a current position and moment; setting a microwave radiometer overlook sea ice area based on the solar altitude angle and the azimuth angle, and receiving a reflection signal of solar microwave heat radiation; extracting the relative propagation delay inequality of the reflected signal; and calculating the thickness of the sea ice according to the relative propagation delay inequality. The ice thickness is measured by using the characteristics of strong solar microwave radiation and related reception, the problem that the sun is regarded as a harmful factor in the existing remote sensing technology is solved, and the method has the characteristic of being capable of reducing data acquisition and processing pressure.

The invention relates to an intelligent automatic building construction drawing generation method and device, equipment and a medium. The method comprises the following steps: acquiring grid coordinate data, terrain elevation data and sunlight characteristic data of a planning area; the sunlight characteristic data comprises solar azimuth data, solar altitude data and solar radiation intensity data; the grid coordinate data comprises coordinate data of grid points in the planning area; calculating a sunlight thermodynamic diagram of the planning area based on the grid coordinate data, the terrain elevation data and the sunlight characteristic data; the sunlight thermodynamic diagram is used for representing sunlight intensity distribution of a planning area; on the basis of the sunshine thermodynamic diagram and the grid coordinate data, calculating structural parameters of a building located in the planning area, and generating a building construction drawing on the basis of the structural parameters; the structure parameters at least comprise building optimal orientation parameters and building optimal windowing size parameters. By adopting the method, the building design efficiency can be improved.

The present invention discloses a bionic polarized light heading measurement method based on an improved polarization field singular point model. First, an image-based bionic polarized light sensor and a high-precision fiber-optic inertial navigation system are initialized. Next, the bionic polarized light sensor captures an image and transmits it to a host computer to determine the observation vector, polarization degree, and polarization angle information. Then, an improved polarization field singular point model for the full-sky polarization pattern is constructed using singular point correction coefficients. Based on a vector consisting of the solar azimuth, solar altitude, atmospheric turbidity parameters, and correction coefficients in the polarized light sensor system, the polarization angle and polarization degree corresponding to a single pixel are calculated. The polarization angle information is converted from the sensor coordinate system to the observation meridian coordinate system. Finally, a minimization objective function is constructed, and the least squares optimization method is used to determine the solar azimuth in the polarized light sensor system. Combined with the solar azimuth in the world coordinate system, the heading is ultimately determined. This invention addresses the problems of existing image-based polarized light sensor heading measurement methods, which are all based on a single Rayleigh scattering model and cannot adapt to weather conditions with thick aerosols and high solar altitudes. Furthermore, existing sky polarization pattern characterization models suffer from high computational complexity and poor characterization capabilities.

A method for controlling a climate control system (110) of a vehicle, comprising the following steps: - determining the course of a solar azimuth angle associated with a respective point, wherein the determining of the course of the solar azimuth angle is based on the solar azimuth angle, wherein the solar azimuth angle is determined by means of a multi-cell solar sensor comprising a plurality of photodiodes by a comparison between outputs of each photodiode; - determining at least one intersection point between the course of the azimuth angle and at least one line defining at least one edge of a transparent element of the vehicle; - Determining whether the point in question is shaded or not based on the at least one intersection point; - automatically controlling the climate control system (110) based on the determination of whether the point in question is shaded or not; and - calculating a compensation value based on the determination of whether the point in question is shaded, and wherein the automatic control of the climate control system (110) is based on the compensation value, wherein the calculation of the compensation value is based on a cumulative moving average of the solar radiation.

The invention discloses a multi-tower-limb steel-concrete combined bridge tower temperature gradient establishing method which comprises the following steps: S1, calculating a solar azimuth angle and a solar elevation angle according to the solar declination, the regional latitude and the hour angle at a bridge site; s2, based on the solar azimuth angle, the solar elevation angle, the bridge trend and the geometric parameters of the tower limbs, radiation areas under the self-shielding state of the tower wall, the mutual shielding state of the tower limbs and the external shielding state are calculated; s3, the atmospheric temperature is calculated according to the meteorological data, and heat conduction calculation is conducted in combination with the tower wall comprehensive temperature; s4, temperature gradient models in the tower wall self-shielding state, the tower limb mutual shielding state and the outside shielding state are established; and S5, based on the temperature gradient model, temperature gradient modes of the steel tower column section, the concrete tower column section, the concrete tower wall and the steel-concrete combined section are established respectively, and the scheme can provide complete technical support for temperature effect analysis and design of the multi-tower-limb steel-concrete combined bridge tower.

The invention relates to the field of traditional Chinese medicinal material processing, in particular to a rhizoma polygonati processing method which comprises the following steps: selecting fresh rhizoma polygonati and pretreating; the preparation method comprises the following steps: steaming and airing the pretreated fresh rhizoma polygonati, and drying in an airing and drying integrated room to obtain primarily prepared rhizoma polygonati: firstly, uniformly spreading the aired rhizoma polygonati on an airing net to obtain the total weight of the rhizoma polygonati; environmental parameters are monitored in real time, a top cover is opened for outdoor airing when outdoor airing conditions are met, and the top cover is closed for drying if the outdoor airing conditions are not met; synchronously monitoring the total weight of rhizoma polygonati, calculating the water content, and stopping drying when the water content is reduced to a set value; during outdoor airing, the azimuth angle and the elevation angle of the sun are obtained in real time, the horizontal rotation angle and the vertical overturning angle of the airing net are dynamically adjusted in combination with environmental parameters, and the windward or leeward inclination angle of the airing net is adjusted according to the water content and the wind speed grade; and finally, repeating the drying step on the primarily-prepared rhizoma polygonati for 3-9 times to obtain the multi-prepared rhizoma polygonati. Natural airing and intelligent drying are combined, so that the period is shortened, loss of thermosensitive components is reduced, and high efficiency and high quality of rhizoma polygonati processing are realized.