270 results about "Cloud cover" patented technology

A method is performed by a computer configured to facilitate brokering of cloud services. The method includes a plurality of operations. An operation of receiving a request for instantiating an instance of a cloud service budget for a customer is performed. An operation of receiving budget configuration information is performed after receiving the request for instantiating the instance of the budget. The budget configuration information specifies a cloud service budget threshold. An operation of determining a budgetary impact of the cloud service order is performed. An operation of receiving information defining a price of a cloud service order subject to the cloud service budget is performed. In response to the budgetary impact indicating that a price of the cloud order will cause a cloud service billing amount for the customer to exceed the budget threshold, an operation of implementing at least one budgetary action associated with the budgetary impact determination.

Deploying a virtual machine in a cloud computing environment, the cloud computing environment including one or more virtual machines (‘VMs’), the VMs being modules of automated computing machinery installed upon cloud computers disposed within data centers, the cloud computing environment also including a cloud operating system and data center administration servers operably coupled to the VMs, including deploying, by the cloud operating system in a local data center, a VM, including flagging the VM for disaster recovery; storing, by the cloud operating system in computer memory in a remote data center, a copy of the flagged VM; and configuring, by the cloud operating system, the remote data center to replace data processing operations of the flagged VM in the local data center with data processing operations of the copy in the remote data center when the flagged VM in the local data center is lost through disaster.

A method for forecasting reduction in sunlight intensity due to cloud cover at a photovoltaic power plant is described. The method comprises determining characteristics of one or more clouds from sensors surrounding the photovoltaic power plant. The cloud characteristics are used to create a 3D map of the clouds. The 3D map in combination with information on the angle of the sun is used to create a 3D projection on the surface of the earth, resulting in a 2D surface irradiance map. The 2D surface irradiance map may be taken in successive projections or used in combination with wind speed data to forecast fluctuation in irradiance at the photovoltaic power plant. The forecasted reductions in power may be used to enact measures at the plant such as reducing the power output of inverters to prevent sudden fluctuations in the power output of the photovoltaic plant feeding the utility.

The invention provides a cloud intelligent cooking method, a cloud intelligent cooking device and a cloud server. The cloud intelligent cooking method includes the steps of receiving a cooking instruction and sending the cooking instruction to the cloud sever; receiving a cooking method, sent by the cloud server, of food materials to be cooked; informing a user of the cooking method; obtaining information of the food materials to be cooked after the food materials to be cooked are detected; sending the information of the food materials to be cooked to the cloud server; receiving a heating control instruction sent by the cloud server; cooking the food materials to be cooked according to the heating control instruction and the cooking method selected by the user. After the cooking instruction is received, the cloud intelligent cooking device can interacts with the cloud server automatically according to the cooking instruction, the food materials placed in the cloud intelligent cooking device are cooked, operation is easy and convenient, and the user experience degree is high.

A constellation of satellites may include a plurality of satellites in each of two or more different orbits. Satellites in a given orbit may operate in pairs, flying in tandem, one satellite leading, the other trailing closely behind, to be positioned to image the same target(s) of interest with substantially the same orientation (geographical coincident) at substantially the same time (temporally coincident). The first satellite may acquire SAR data, determine a location of a target of interest, assess cloud cover, and based on an extent of cloud cover, can acquire additional SAR data or cause the second satellite to capture optical imaging data (e.g., cross-cueing). Selection of orbits can provide a relatively high revisit rate may be obtained, allowing frequent opportunities to image given locations on a planet (e.g., Earth). One or more ground stations communicate with the constellation of satellites, and inter-satellite communications may be employed.

A foundation cloud measuring method combining infrared and lasers comprises the following steps that (1) atmosphere downward infrared radiation data are obtained through an uncooled infrared focal planar array sensor, zenith backward extinction coefficient profile data are obtained through a laser sensor, and the obtaining time of the atmosphere downward infrared radiation data is synchronous with the obtaining time of the zenith backward extinction coefficient profile data; (2) water vapor and aerosol radiation under cloud are estimated by combining the data, clear sky threshold values calculated through a radiation transmission pattern are used for conducting initial cloud detection, it is assumed that the cloud is a black body, and the cloud base height is obtained through inversion; (3) sequence analysis is conducted on infrared radiation images with high time resolution, the clear sky threshold values are combined to conduct further cloud detection, and the cloud cover is calculated; (4) proportionality coefficients between the cloud base height obtained through the infrared radiation inversion and the cloud base height obtained through laser measurement are fitted; (5) the cloud base height of a whole view field is corrected, and the typical cloud base heights of every ten minutes are obtained through calculation.

The invention discloses a system and a method for the meteorological information-assisted satellite imaging task planning. The method comprises the steps of 1, collecting observation requirements; 2,performing imaging task treatment on an observation target; (wherein the target region divided into small regions of 10 * 10 degrees by dividing longitude and latitude grids in the global range according to a cone projection mode during the task planning process; and the divided small regions are subjected to matching and judging during the cloud cover judgment) 3, performing cloud cover inspection for each imaging scheme (based on a statistical threshold value of 75%), removing pre-arranged plans which do not meet the cloud cover constraint condition, screening out a plan set which most meetsan optimal strategy, arranging plans according to the imaging time and the imaging angle, and generating a final planning scheme; 4, respectively transmitting the information of an imaging scheme and a receiving scheme to a satellite and a ground receiving station. According to the scheme, the cloud cover in each target imaging region can be evaluated before satellite imaging, so that the imaging quality can be obviously improved.

The present invention discloses a satellite remote sensing image cloud amount calculation method on the basis of random forest. The satellite remote sensing image cloud amount calculation method on the basis of random forest comprises six steps: sample acquisition, feature extraction, image classifier training, segmentation of image to be measured, image classification, cloud amount calculation and the like. Through adoption of the method provided by the invention, multiple detections may be performed after training just once, an image classifier is obtained through a large number of image trainings, and the image classifier may be used again when cloud detection is performed. The random forest algorithm is low in time complexity at the prediction classification stage, and the cloud zone detection may be rapidly carried out. Through the test, the method provided by the invention is applicable to panchromatic images (ten-dimensional characteristic vector) and also applicable to n-channel multispectral images (10n-dimensional characteristic vector), and has been applied to an actual quality control system of satellite image products, so that the cloud detection of remote sensing images of multiple domestic satellites such as the resource satellite-3, mapping satellite-1, GF-1 and the like are performed, wherein the accuracies reach, respectively, 91%, 88% and 92.4%.

The invention discloses a cloud and aerial total cloud amount detection method and system. The system comprises an image obtaining device, a sky type confirming module, a cloud detection module and an aerial total cloud amount computing module, wherein the image obtaining device is used for obtaining an aerial cloud picture at a preset moment, the sky type confirming module is used for confirming the type of the sky at the preset moment, the cloud in the cloud picture is detected through the cloud detection module according to partition threshold values, and the aerial total cloud amount computing module is used for computing the aerial total cloud amount according to the ratio of the cloud in the aerial cloud picture to the whole aerial cloud picture. The cloud in the cloud picture is detected through the aerial cloud picture partition threshold values corresponding to the different sky types, the influences of different weather conditions on the detection result of the aerial cloud picture are taken into full consideration, and the accuracy of the cloud detection is made to be higher.

The invention discloses a meteorological-information-based photovoltaic power generation active power online evaluation method, which comprises the following steps of: 1, selecting a reference point, a reference direction and a sample photovoltaic panel, and setting a data acquisition moment t to be an initial moment 0; 2, acquiring the axial directions of the photovoltaic panel and photometric equipment; 3, acquiring the geographical position information and dip angle data of the photovoltaic panel and the photometric equipment; 4, acquiring solar irradiation sample data, prediction data and cloud cover monitoring data measured by the photometric equipment; 5, preprocessing the solar irradiation sample data and the prediction data; 6, preprocessing the cloud cover monitoring data; 7, computing the active power output of a photovoltaic component; and 8, obtaining a photovoltaic power generation active power characteristic curve. In the method, the data actually measured by the photometric equipment in the given time period of 1min is taken as a basis and the influence of a cloud cluster on a photovoltaic power station is comprehensively taken into account to obtain the photovoltaic power generation active power characteristic curve in the future 0 to 5min by approximately equal power processing and curve fitting, so active power characteristic analysis efficiency and accuracy are effectively improved, and the bases are provided for the formulation and regulation of complementary running policies and energy efficiency management policies of joint power generation systems utilizing a plurality of power supplies such as wind, sunlight and the like.

The invention relates to an infrared sky instrument comprising an infrared temperature measurement unit, a two-dimension scanning platform, a controller and a control and data collection processing microcomputer. The infrared temperature measurement unit is a rapidly-response non-contact infrared temperature measurement thermometer; the two-dimension scanning platform comprises an azimuth scanning mechanism and a pitch scanning mechanism; the controller comprises a stepping motor driver (Motor Driver) satisfying the use requirements of a stepping motor, a micro chip computer and a communication interface chip; the two-dimension scanning platform drives the rapidly-response infrared temperature measurement unit to carry out all-day sky stereoscan under the control of the controller and the data collection processing micro computer and stores the measured cloud base infrared radiation bright temperature values in the conditions of specified azimuth and elevation into the control and data collection processing micro computer. After the scanning is finished, the infrared radiation bright temperature values corresponding to different azimuths and elevations are spliced together to form an all-sky infrared radiation bright temperature distribution chart. The measurement can be carried out whenever in the day or at night as infrared radiation of clouds are measured. The infrared sky instrument can substitute the original cloud observation means, and can obtain all-weather refined cloud data of sky cloud form and cloud cover.

The invention relates to an AC/DC (Alternating Current/Direct Current) mixed micro-grid optimized operating method based on a main-slave game model. The method comprises the following steps: acquiring weather data of an area in which a micro-grid is located such as illumination intensity, temperature and cloud cover, counting historical data of a photovoltaic power generation amount in the micro-grid, and predicting power outputted by a photovoltaic cell in an AC/DC mixed micro-grid in a next day by adopting a prediction method based on a typical trend; acquiring transmission power data at two sides of a bidirectional converter and a tendency controller in the AC/DC mixed micro-grid, and establishing a mathematic model of various devices in the AC/DC mixed micro-grid; dividing a day into various dispatching time periods, establishing a main-slave game model of cooperation of a photovoltaic operator and a grid company at each dispatching time period, wherein the main-slave game model comprises a photovoltaic utilization rate model maximizing the benefit of the photovoltaic operator and an AC/DC mixed micro-grid loss model minimizing the loss of the representative grid company; and improving the global searching performance of an algorithm by adopting a two-order oscillation particle swarm algorithm of an asynchronous variation learning factor. The AC/DC mixed micro-grid optimized operating method is high in applicability and high in prediction precision.

Methods, a computer-readable medium, and a system are provided for determining whether a data point indicates a presence of a cloud using visible near-infrared data and short wavelength infrared data. A first comparison of a cirrus-band reflectance of the data point with a threshold cirrus-band reflectance value is made, classifying the data point as a cloud point if the cirrus-band reflectance of the data point exceeds the threshold cirrus-band reflectance value. When the comparing of the cirrus-band reflectance of the data point with the threshold cirrus-band reflectance value does not classify the data point as a cloud point, a further analysis is performed, including performing a second or more comparisons of additional cloud indicators derived from at least one of the visible, near-infrared, and short wavelength infrared data with related empirically-derived, landcover-dependent thresholds for classifying the data point as a cloud point or a non-cloud point.

The present invention is directed to a mobile light tower that utilizes multiple sources of energy to provide a highly energy efficient source of illumination. The lights of the light tower draw power from the energy stored in the batteries. During the day, solar energy can captured and stored in batteries. In times of cloud cover, or at night, wind energy can be captured and stored in the batteries. Additional alternative energy sources can also be incorporated. In the event that neither of these sources are sufficient, a fuel powered generator can be utilized to generate energy to be stored in the batteries.

The invention discloses a fragmented remote sensing image synthesis method and device for a cloudy and rainy region, and the method comprises the following steps: obtaining a multi-satellite and multi-phase initial image data set of the cloudy and rainy region; carrying out the radiation difference correction of a sensor and an external factor for the initial image data set, so as to obtain a first image data set consistent with the radiation features; obtaining a cloud layer and shadow distribution range of the first image data set, and obtaining a cloudless data fragment set of the cloudy and rainy region through mask processing; selecting a reference data subset from the cloudless data fragment set, repairing a loss region through employing other cloudless data fragment sets, and obtaining the complete cloudless synthetic image of the cloudy and rainy region. The method makes the most of conventional useless data (high cloud images) for synthesis, effectively improves the space-time coverage frequency of the remote sensing observation of the cloudy and rainy region, and provides powerful data support for the remote sensing application based the domestic satellite data especially the application with the high requirements for timeliness.

The invention discloses a photovoltaic power station output data repairing method based on weather information. The method comprises the following steps: repeated, missing and unreasonable abnormal data in data are obtained through screening, and according to the length of a continuous time sequence corresponding to the abnormal data, a continuous abnormal type and a local abnormal type are divided; the correlation between the selected weather information data items and the normal photovoltaic power station output data is checked item by item, and uncorrelated data items are removed; the known weather information, a cloud covering factor at the photovoltaic power station and the temperature are used for training a BP neural network model, and all parameters of the BP neural network model are obtained; as for the local abnormal data, an interpolation method is adopted to obtain repaired photovoltaic power station output data; as for the continuous abnormal type data, the weather information at the corresponding time is used to obtain the temperature and the cloud covering factor data; and the effectiveness of the repaired data is checked, and a repairing report is outputted. By using the open and free weather information, the photovoltaic power station output data are repaired.