27 results about "Solar intensity" patented technology

The invention provides an air conditioner indoor environment parameter control method and system, and relates to the technical field of air conditioner control. External environment information and internal heat source information such as sunlight intensity data and cloud cover prediction data outside a building and the operation state and real-time power consumption data of large electronic equipment inside the building are obtained; the preset building physical attribute parameters are combined, the predicted total heat load increment of all the areas in the future preset time can be calculated in advance, an adjusting instruction is generated in advance before the indoor environment parameters actually change, the operation state of an air conditioner system executing mechanism is adjusted, accurate and active control can be achieved, and the control efficiency is improved. According to the method, local supercooling or superheating possibly caused by a traditional method is avoided, the comfort consistency of the indoor environment is remarkably improved, meanwhile, the energy utilization efficiency is optimized, and energy waste is effectively reduced.

The invention belongs to the technical field of photo-thermal water evaporation films, and discloses a Janus-structure photo-thermal evaporation film for seawater desalination and a preparation method of the Janus-structure photo-thermal evaporation film. The Janus film is obtained by treating a composite film solution through a non-solvent induced phase separation method and a nano laser etching technology. The preparation method comprises the following steps: dissolving phthalazinone polyarylethersulfone ketone in N-methyl pyrrolidone, cooperating with nano molybdenum disulfide to prepare an upper layer of the photo-thermal super-hydrophobic water evaporation double-layer film, and dissolving quaternized phthalazinone polyarylethersulfone ketone in N-methyl pyrrolidone to prepare a hydrophilic lower layer of the water evaporation double-layer film. According to the prepared water evaporation thin film material, the super-hydrophobic upper surface and the hydrophilic lower layer are achieved through surface laser etching, meanwhile, the water evaporation thin film material has excellent photo-thermal performance in a full-spectrum area of sunlight, and the water evaporation rate is excellent under irradiation of 0.8 sunlight intensity and a 60-degree wide angle.

This invention relates to the field of superhydrophobic functional coating materials. The invention discloses a carbon-coated nano-silica photothermal superhydrophobic coating and its preparation method. The preparation method includes: preparing carbon-coated nano-silica particles via a hydrothermal method; mixing the particles with an adhesive and PDMS and spraying the mixture onto a substrate surface, followed by a first curing to form a base coating; then immersing the mixture in a solution containing perfluoroalkyl silanes, followed by a second curing to obtain the final coating. The coating of this invention exhibits a water contact angle exceeding 150° and a roll-off angle less than 10°. Under 1 solar intensity, the surface temperature can rise to over 60°C within 6 minutes. It possesses advantages such as high-efficiency photothermal conversion, superhydrophobicity and oleophobicity, synergistic passive anti-icing and active de-icing, and good mechanical stability. Furthermore, the process is simple and scalable, making it suitable for anti-icing and de-icing protection in fields such as power facilities, wind power generation, and aerospace.

The invention discloses a calculation method for a running overhead line state. The calculation method comprises the following steps: acquiring measurement data and line parameters in real time; the measurement data comprises environment temperature, wind speed and direction, wire tension, sunlight intensity and load current, and the line parameters comprise strain section parameters and wire parameters; solving the conductor sag by using the wind speed and direction, the conductor tension, the strain section parameter and the conductor parameter; based on a proportional fusion correction mechanism, solving the average temperature of the line by using the conductor sag; solving the maximum heat capacity of the line by using the environment temperature, the sunlight intensity, the load current and the average temperature of the line; and adjusting the running current on the overhead line in real time according to the maximum thermal capacity of the line. On the basis of the method, the measurement data and the line parameters under the actual operation condition are utilized to replace the calculation of presetting the maximum allowable current-carrying capacity under the worst condition, so that the utilization rate of the invisible capacity is improved, the transmission efficiency of the overhead line is further improved, and the economical efficiency and the transportation capacity of the overhead line are improved.

The invention provides a new energy power system reliability evaluation method based on environment variables, and relates to the technical field of power systems. According to the method, a non-parametric self-adaptive quantile regression forest model is adopted to perform modeling on wind speed and sunlight intensity, and online incremental updating is triggered based on Kolmogorov-Smirnov statistics; setting a cross-scale state coupling interface layer in the double-layer nested reliability evaluation architecture, defining a shared state vector including an energy storage charge state, an equipment aging index and an available reserve capacity, and applying Lyapunov stability constraint; a period economic value dynamic pricing module based on Q-learning is integrated in a short-term evaluation layer, and a real-time electricity price, a user interruption contract and a load elastic coefficient are used as state spaces to correct a load shedding strategy. According to the scheme, through adaptive modeling of environment variable distribution and cross-scale state stable transmission, the problem of evaluation result lag is effectively solved, and the real-time performance and economical efficiency of reliability evaluation are improved.

The invention relates to a method for climate control of the interior of a vehicle, which is designed without a solar intensity sensor and / or an outside temperature sensor, is connectable to an external server for data exchange, and has a climate control unit for adjusting the interior climate. The invention further relates to a vehicle which is designed without a solar intensity sensor and / or an outside temperature sensor, is connectable to an external server for data exchange, and has a climate control unit for adjusting the interior climate.To propose a method and a vehicle with which interior climate control can be implemented in a more energy-efficient and thus more cost-effective manner, the following steps are proposed according to the invention: Providing a digital map on the server, wherein the digital map comprises location-dependent and time-dependent operating parameters of the vehicle's climate control system, the operating parameters allowing for demand-based adjustment of the interior climate in the vehicle; transmitting data relating to the time, position, and orientation of the vehicle to the server; determining the operating parameters of the vehicle's climate control system by means of the server as a function of the time, position, and orientation of the vehicle; transmitting the operating parameters of the climate control system to the vehicle; adjusting the climate control system according to the operating parameters transmitted by the server.

According to the graded photo-thermal-gradient needle tip array type saline-alkali soil evaporator and the preparation method thereof, cork wood-derived cellulose is used as a matrix raw material, a graded photo-thermal layer of carbon nano tubes and biochar is constructed, a gradient-size needle tip array is designed, and a porous hydrogel matrix structure is optimized, so that the graded photo-thermal-gradient needle tip array type saline-alkali soil evaporator is obtained. And the evaporator with the functions of efficient photo-thermal conversion, directional water transmission and thorough salt falling is prepared. The full-spectrum absorption efficiency of the prepared evaporator is larger than or equal to 95%, the salt crystallization falling rate is larger than or equal to 98%, the evaporation rate reaches 1.8 kg / mh under one sunlight intensity, the performance degradation is smaller than or equal to 5% after 100-hour continuous operation, the problems that a traditional evaporator is low in photo-thermal efficiency, salt is left and accumulated, and the water transmission resistance is large can be effectively solved, and the evaporator is suitable for saline-alkali soil treatment, fresh water generation and mineral salt collection scenes.

Disclosed are methods, systems, and computer-readable media to perform operations including: receiving, by a first machine learning model, information including one or more of: a solar panel current, a solar panel voltage, a battery current, a battery voltage, a load current, or a load voltage of the off-grid solar power system; predicting, by the first machine learning model, operating parameters of the off-grid solar power system including one or more of: a solar panel power, a solar intensity, a load profile, a battery voltage over time based on the received information; receiving, by a second machine learning model, a comparison between one or more predicted operating parameters and one or more actual operating parameters; and sending, by the second machine learning model, a user notification for an abnormal operating condition of the off-grid solar power system based on the comparison result.

The invention provides a virtual power plant multi-adjustable resource optimization scheduling method and system based on a novel power load management system, and the method comprises the steps: building a virtual power plant multi-time scale resource optimization scheduling model for solving the problems of surplus consumption and fluctuation stabilization of uncertain resources under different time scales in the operation process of a virtual power plant; in the day-ahead stage, a photovoltaic cell panel maintenance plan, a gas turbine output plan and the reported electric quantity of electric energy transaction in the next day are determined according to the possible fault condition of the photovoltaic unit; and in the intra-day link, the fluctuation conditions of illumination intensity and user load are considered, and a battery charging and discharging plan, a photovoltaic reactive power compensation plan and an actual power transaction scheme of the battery swap station are obtained. The model comprehensively considers the delicacy management of charging and discharging behaviors of an electrical changing station in a virtual power plant, the user satisfaction problem caused by photovoltaic unit faults and reactive compensation, and the transaction profit condition of participating in power market transaction.

The application discloses a kind of building outer wall window photovoltaic module, it is related to photovoltaic power generation technical field, including window frame, glass plate is installed in the inside of window frame, photovoltaic module is installed in the inside of glass plate, light transmission dynamic adjusting mechanism is arranged in the inside of window frame, light transmission dynamic adjusting mechanism is used to automatically adjust glass plate light transmission to respond solar intensity change, light transmission dynamic adjusting mechanism includes support group installed in the inside of window frame, heat-sensitive pad is installed in the inside of support group, by introducing the cooperation operation between condenser lens, heat-sensitive pad, connecting rod and curved mirror, realize the automatic light transmission based on solar intensity adjustment, according to the angle of automatically adjusting curved mirror according to light intensity, optimize photovoltaic cell to incident light absorption efficiency, by dynamically adjusting light transmission and light refraction angle, not only improve the power generation efficiency of photovoltaic module, also optimize the thermal comfort and energy utilization efficiency of building.

The invention discloses an optical filter adaptive switching device based on sun intensity, which is assembled on a photoelectric sun angle detection device and comprises an optical filter conversion device, an optical filter, a motor and a processor. The photoelectric sun angle detection device comprises a collimator and a four-quadrant sensor arranged at the emergent end of the collimator. And the motor and the optical filter conversion device are arranged at the incident end of the collimator. The optical filter conversion device is of a disc structure with a through hole in the center, a plurality of installation bases are arranged on the outer circumference of the disc at intervals, optical filters are fixed to the installation bases, and the transmittance of the optical filters is different. And the processor judges whether the optical filter needs to be switched based on the illumination intensity measured by the four-quadrant sensor and the transmittance of the currently used optical filter. The optical filter can be adaptively switched according to the current sunlight intensity, the detectable range of the four-quadrant sensor is achieved, the adaptability is high, and the economical efficiency is high.

This invention discloses a solar umbrella for urban sunshade, flood control, and power generation, and its control method. It includes an umbrella column, umbrella ribs, and an umbrella canopy. The umbrella column has a rainwater collection chamber, a power generation channel, and a drainage channel inside. The rainwater collection chamber is connected to the municipal sewer system via the power generation and drainage channels, and a water turbine generator is installed in the power generation channel. A first sliding block and a second sliding block are slidably mounted on the umbrella column. The main support rod of the umbrella ribs is hinged to the first sliding block, and the inner end of the main beam of the ribs is hinged to the second sliding block. A first motor is mounted on the first sliding block, driving it to move up and down. A second motor is mounted on the second sliding block, driving it to move up and down. Multiple sets of photovoltaic modules are installed on the upper surface of the umbrella canopy. A solar intensity sensor, a rainfall sensor, and a wind speed sensor are installed on the top of the umbrella column. A control room is located near the umbrella column, and the photovoltaic modules, solar intensity sensor, rainfall sensor, and wind speed sensor are respectively connected to the control system in the control room.

The invention discloses a one-dimensional phased array radar and a calibration method and system thereof, and the method comprises the steps: carrying out the solar feature recognition of radar body scanning data, and obtaining first solar intensity information, and a first relative azimuth angle, a first relative pitch angle and body scanning time corresponding to the first solar intensity information; determining a sector scanning range according to the last first relative azimuth angle, and controlling the radar to rotate and start sector scanning based on the sector scanning range; performing solar feature recognition on the sector scanning data to obtain second solar intensity information and a second relative azimuth angle, a second relative pitch angle and sector scanning time corresponding to the second solar intensity information; calculating azimuth deviation and pitch deviation according to the radar geographic position, all the first relative azimuth angles, the first relative pitch angles, the body scanning time, the second relative azimuth angles, the second relative pitch angles and the sector scanning time; and performing radar calibration according to the azimuth deviation and the pitching deviation. The calibration efficiency and the calibration precision are improved.

This invention discloses a distribution network congestion scheduling method that considers congestion resistance, comprising the following steps: Step S1: Input system line parameters, load data, operating parameters and cost parameters of distributed power sources and flexible loads; Step S2: Obtain daily wind speed and solar intensity prediction data, and construct a set of wind power and photovoltaic output scenarios based on prediction errors; Step S3: Consider the original scheduling plan and the ramp-up capabilities of gas turbines and energy storage systems, and take into account the time scale constraints of call-up flexibility; Step S4: Consider the flexible resource layout, system line transmission capacity and actual power direction, and take into account the line transmission limitations of call-up flexibility, i.e., the spatial scale constraints of flexibility; Step S5: Substitute the output scenarios into the model, and calculate the congestion resistance index based on the multi-temporal and spatial scale characteristics, directionality and probability of flexibility; Step S6: Construct a distribution network congestion scheduling model and solve it.

This invention belongs to the field of solar spectral radiation correction technology, and provides a solar spectral radiation correction method and related equipment based on a downlink optical sensor. The method includes: establishing a light intensity model with the light intensity value collected by the downlink optical sensor and the rotation angle of the downlink optical sensor relative to the sun, the tilt angle of the downlink optical sensor relative to the sun, the solar intensity, and ambient light as correlation parameters; acquiring a set of actual data collected by the downlink optical sensor, and calibrating the light intensity model based on the actual data to obtain the undetermined parameter values ​​of the light intensity model; substituting the actual data and the undetermined parameter values ​​into the light intensity model, and solving the light intensity model using the least squares method to obtain the optimal solution of the correlation parameters; using the light intensity model with the optimal solution of the correlation parameters to correct the light intensity value collected by the downlink optical sensor, and outputting the corrected light intensity value. This invention ensures the accuracy of material spectral identification through light intensity value correction.

A clip-on dual swingable vehicle visor apparatus incorporates a baseboard that clips onto a standard in-car sun visor, and further incorporates a frontal visor and a removable side visor to operate as simultaneous multidimensional sunshades. The side edges of the baseboard uniquely feature rails that are designed to dock with a sliding clip connected to the side visor, which constitutes a modular and easily-removable side visor structure that can be readily attached or detached from the left or the right side of the baseboard to accommodate a flexible application of the visor apparatus on either the driver-side or the front passenger-side standard in-car sun visor, depending on users' needs and preferences. Furthermore, both the frontal visor and the removable side visor may be tinted at specific visible light transmission (VLT) levels based on manufacturer or user preferences to provide a desirable level of reduction in solar intensity and energy.

This invention discloses a comprehensive energy source-load prediction method based on deep feature-guided two-stage transfer learning, relating to the field of comprehensive energy multi-element load prediction technology. The method involves acquiring and converting factors such as temperature, season, holidays, wind speed, cloud density, solar intensity, electricity price, and current policies into data formats; acquiring historical data on photovoltaic, wind power, electrical load, heat load, and cooling load in a park, and cleaning the historical data; constructing a time series prediction model based on a deep residual network and a long short-term memory recurrent neural network incorporating an attention mechanism; training the time series prediction model using electrical load, heat load, and cooling load data based on temperature, season, and holidays to obtain a preliminary model; and finally, employing a transfer learning strategy to obtain the final prediction model based on the preliminary model.

The invention discloses a building cell participation power demand response calculation method, which comprises the following steps of: inputting data required by calculation, including data such as real-time solar intensity and temperature of one day, resident illumination and other load energy consumption; constructing a photovoltaic power output model, an electric vehicle energy consumption model, an air conditioner power consumption model, a lighting power consumption model and other load power consumption models; setting the number of photovoltaic models, electric automobile models, air conditioner models and the like, and combining to construct a building cellular model; constructing response potential models of the electric vehicle, the air conditioner, the illumination and other loads; combining the response potential models to obtain a response potential model of the building cells; and calculating demand response indexes of the building cells through the response potential model, and analyzing the characteristics of the building cells according to the corresponding indexes. By using the method provided by the invention, the capability of calling corresponding building cells in different occasions of an electric power company is improved, so that electric power dispatching is completed according to different characteristics of different regions.

The invention belongs to the technical field of photo-thermal super-hydrophobic films, and discloses a super-hydrophobic film with photo-thermal ice preventing and removing performance and a preparation method of the super-hydrophobic film. The super-hydrophobic thin film is obtained by treating a composite thin film solution through a non-solvent induced phase separation method and a nano laser etching technology, and the composite thin film solution comprises phthalazinone polyarylether sulfone ketone, polydimethylsiloxane, nano molybdenum disulfide and N-methyl pyrrolidone. The preparation method comprises the following steps: dissolving phthalazinone polyarylether sulphone ketone in N-methyl pyrrolidone, and cooperating with nano molybdenum disulfide to prepare the photo-thermal super-hydrophobic anti-icing and deicing film. The anti-icing and deicing film material prepared by the preparation method disclosed by the invention realizes the functions of superhydrophobicity on the upper side and heat insulation on the lower side through surface laser etching, has excellent photo-thermal performance in a full-spectrum region of sunlight, and can achieve an anti-icing and deicing effect under the irradiation of 0.1 sunlight intensity at the temperature of 20 DEG C below zero.

The utility model relates to the technical field of tea seedling cultivation, and discloses a tea seedling cultivation device which comprises a fixing disc, an installation box is fixedly installed on the right side of the fixing disc, and a cultivation mechanism is arranged outside the fixing disc. According to the tea seedling cultivation device, by arranging the cultivation mechanism, when tea seedlings need to be cultivated, a controller is turned on, a motor is started to drive a gear to rotate, through meshing of the gear and a gear ring, a rotating disc continuously and slowly rotates around a fixing rod on a ball, the seedlings need to be irradiated with the sun intensity, and a proper amount of sunshade leaves are lifted up; the hook is hung outside the clamping column, so that a part of sunlight irradiates the seedlings, the tea seedlings are irradiated by proper sunlight through slow rotation of the rotating disc, the electromagnetic valve is turned on in a certain time period, and clean water is sprayed through the four spray heads to irrigate the tea seedlings, and the cultivation mechanism can rotate the container, so that the tea seedlings are irradiated by proper sunlight, and sunburn of the tea seedlings is avoided. The survival rate of tea seedlings is improved.

To provide a solar radiation intensity prediction device that can predict solar radiation intensity with time resolution higher than the time resolution of an acquired predicted value of solar radiation intensity.SOLUTION: A solar radiation intensity prediction device comprises: a data acquisition unit that acquires, of solar radiation intensity predicted values that are time-series data, one or more solar radiation intensity predicted values corresponding to one or more times of day from sunrise to sunset, and an actual measured value of solar radiation intensity for every time zone shorter than the time interval of the time-series data; a model creation unit that calculates the statistic of the actual measured value in the time zone, and creates a learned model that predicts the statistic in the time zone of the solar radiation intensity through machine learning by using learning data including a first solar radiation intensity predicted value and the statistic corresponding to the month; and a prediction unit that inputs a second solar radiation intensity predicted value of a prediction target day and the month to the learned model to predict the statistic of the solar radiation intensity for every time zone. The actual measured value includes, for every time zone, one or more pieces of data corresponding to one or more times of day, and the time of day corresponding to the solar radiation intensity predicted value to be used includes the time of day in the tine zone.SELECTED DRAWING: Figure 1

The present invention discloses a one-dimensional phased array radar and a calibration method and system thereof. The calibration method includes performing solar feature recognition on radar volume scan data to obtain first solar intensity information and its corresponding first relative azimuth, first relative pitch angle, and volume scan time; determining a sector scan range based on the last first relative azimuth, controlling radar rotation and starting sector scan based on the sector scan range; performing solar feature recognition on the sector scan data to obtain second solar intensity information and its corresponding second relative azimuth, second relative pitch angle, and sector scan time; calculating azimuth deviation and pitch deviation based on the radar geographic location, all first relative azimuths, first relative pitch angles, volume scan time, second relative azimuth, second relative pitch angle, and sector scan time; and calibrating the radar based on the azimuth deviation and pitch deviation. The present invention improves calibration efficiency and accuracy.

A parking guidance system for a solar panel-equipped vehicle and a method therefor. The parking guidance system for the solar panel-equipped vehicle includes a server including a communications unit that periodically collects solar intensity messages from solar panel-equipped vehicles; a map generation unit that accumulates the solar power intensity messages and generates a variable solar power map (VSPM) including a precise map (P-Map) of an outdoor parking lot based on the accumulated data; a database DB that stores the VSPM and periodically updates a regional solar intensity information over a time; and a control unit that provides an optimal solar charging parking location with a strongest solar intensity based on a vehicle location of a customer to the vehicle based on the VSPM.

This invention discloses a path control method for a multi-robot collaborative mobile measurement robot, belonging to the field of path planning technology. Specifically, it includes: collecting surface height information of the target area and generating a simplified 3D model by binding the surface height information with geographic coordinates; calculating the cumulative duration distribution map of direct sunlight received by each coordinate point on the ground within the current time period based on the solar trajectory data of the current season; dividing the area into high solar intensity regions and continuous shadow regions according to the cumulative duration distribution map, and topologically associating the coordinates of the target point to be measured with the continuous shadow regions; establishing a dynamic path allocation protocol in the multi-robot communication network, enabling each robot to select a non-overlapping measurement route in the path network formed by the continuous shadow regions based on its real-time position and task queue, and updating the path occupancy status through periodic broadcasts; this invention optimizes the path planning of mobile measurement robots in urban high-temperature environments.

The utility model relates to crop detection technical field especially, it is an intelligent sensor for detecting crop growth information, include: upper casing, upper casing bottom end detachable fixed installation has lower casing, the circuit board top end has two photosensitive elements one, the circuit board bottom end has two photosensitive elements two, the upper casing and lower casing middle part left and right sides are equipped with two detection holes one and two detection holes two respectively, upper slide cover and lower slide cover are detachable respectively and are connected in the top middle part of upper casing and the bottom middle part of lower casing, upper slide cover top end left and right sides are equipped with two through -holes one respectively, lower slide cover bottom end left and right sides are equipped with two through -holes two respectively, the optical lens assembly one that can eliminate the influence of solar intensity and incident angle is arranged in through -hole one, the optical lens assembly two that can eliminate the influence of solar intensity is arranged in through -hole two, the utility model provides an intelligent sensor that high accuracy and convenient to carry use.

A self-charging electric vehicle configured for converting solar energy and wind energy into electrical energy comprising a systems and methods. The vehicle includes a body and frame with a central body structure and centerline cabin and a chassis with a centerline battery compartment and a suspension system. Solar cells mounted to the vehicles top sides can be supplemented with extendable solar panel(s) that can be deployed by a control system to generate solar energy into electrical energy. An omnidirectional sun sensor provides for sun strength, angle and direction. A stowable horizontal-axis wind turbine with an extendable mast mounted to the vehicle that can be deployed by a control system to generate wind energy into electrical energy. A stowable anemometer provides for wind speed and wind direction.

The application discloses a kind of metering box real asset information data visualization method and system, it is related to the technical field of data visualization, the method comprises: obtaining the first temperature data of the inside of target metering box, the second temperature data of outside and solar intensity data of real-time acquisition;According to the first temperature data, determine whether temperature in target metering box is abnormal;If yes, then according to the first temperature data and the second temperature data, determine the global thermal effect credibility in tank;According to the first temperature data and solar intensity data, determine the correlation of temperature rise and sunshine;According to the first temperature data and the second temperature data of pre-set night section, determine heat dissipation obstacle index;According to global thermal effect credibility in tank, the correlation of temperature rise and sunshine and heat dissipation obstacle index, judge whether target metering box appears coating peeling event;If coating peeling event appears, then in pre-set metering box topology diagram, target metering box is marked.The application realizes the accurate determination of coating peeling of metering box remotely.