96 results about "Weather factors" patented technology

The invention discloses a content putting method and device of an advertising screen. The content putting method includes acquiring corresponding user information through inquiring a group data serveraccording to terminal device information; determining group labels in a period according to the user information and acquiring environment labels in the period according to the environment information of the advertising screen in the period; acquiring advertisement material having a matching degree greater than a matching threshold value and putting the advertisement material onto the advertisingscreen. By adopting the technical scheme provided by the invention, the group labels in the period are determined through the user information and the advertisement material having the matching degree greater than the matching threshold value is acquired and put on the advertising screen, so that a problem of an outdoor advertising screen in incapability of accurate putting of advertisement material for specific audiences is solved, accurate advertisement putting is performed when triggering conditions such as environment scene factors of the advertising screen, external weather factors, audience group factors and real time advertisement owner factors are met, and advertising effect and conversion rate are improved effectively.

The invention relates to a runoff long-bag low-pressure pulse bag type dust collector. At present, a blowing pulse dust collector has the defect that a filter bag has the troublesome process of check and replacement and is easy to interfere by weather factors, the defect that the service life of the filter bag is shortened due to the extraordinary strong scour of high-pressure airflow on the filter bag, the defect that a chimney flue is not closed completely due to expansion caused by heat and contraction caused by cold in equipment, and other defects. The bag type dust collector comprises a group of single bag type dust collectors and a controller thereof, wherein the controller comprises a personal computer (PC) cabinet (25); the PC cabinet is respectively connected with an industrial control computer (26), a programmed logic controller (27), a motor control center (28), a field control case (29), a temperature sensor (44) arranged on an inlet chimney flue of each single bag type dust collector, a stock-level sensor (45) arranged on a dust collecting hopper of each single bag type dust collector and a differential pressure sensor (22) arranged on an air-purifying chamber shell and a dust air chamber shell; and the single bag type dust collectors are arranged in a parallel connection structure. The runoff long-bag low-pressure pulse bag type dust collector is used for managing smoke dust in coal-fired boilers.

The invention discloses a method for evaluating pollution flashover fault probabilities of power transmission lines in an online manner, and belongs to the technical field of power systems and automation for the power systems. The method includes quantitatively evaluating effects of geographical environments and weather factors such as rain and fog on the power transmission lines; computing the pollution flashover fault probabilities of the lines. The key external weather factors which cause flashover of the power transmission lines are evaluated, and influence factors are quantized in an earlier stage; the fault probabilities of pollution flashover of the power transmission lines under the induction effect of weather such as the rain and the fog are computed in a later stage. The method has the advantages that the pollution flashover probabilities of insulators under different weather conditions are dynamically evaluated according to change of the external weather and the external environments, and the method is based on a theory that flashover faults of the lines are caused by the external weather, and accordingly is high in practicality and adaptability.

Disclosed is a multifunctional fry incubator. The multifunctional fry incubator comprises an incubator support, a three-dimensional incubation groove, a water storage tank, a Roots blower, a water pump and microporous oxygenation pipes. The incubator support is provided with the water storage tank and the three-dimensional incubation groove; the three-dimensional incubation groove is composed of at least three incubation grooves, incubation frames are hung in the incubation grooves, and the microporous oxygenation pipes are arranged at the bottoms of the incubation grooves; the water storage tank is connected with the water pump through a water conveying pipe; a water outlet of the water conveying pipe is arranged above the three-dimensional incubation groove; one end of the Roots blower is connected with a motor, and the other end of the Roots blower is connected with the microporous oxygenation pipes through an air conveying pipe; heating bars and a temperature controller are arranged in the water storage tank; water drainage and water filling funnels are arranged at the bottoms of the incubation grooves; a filtering cotton screen is arranged between one incubation groove and the water outlet of the water conveying pipe; filtering cotton screens are arranged below the water drainage and water filling funnels of the incubation grooves. By means of the multifunctional fry incubator, ground natural incubation is changed into groove-type three-dimensional incubation, site area is reduced, and management is facilitated; because the temperature control device and the oxygenation device are additionally arranged, the risk that the incubation rate of natural incubation is affected by weather factors is reduced, and the incubation rate and fingerling survival rate can be improved.

The invention discloses a northwest Pacific Ocean ommastrephidae bartramii winter-spring stock colony abundance prediction method based on a gray system. The northwest Pacific Ocean ommastrephidae bartramii winter-spring stock colony abundance prediction method comprises steps of (1) obtaining nino3.4 anomaly, PDO data, sea surface temperature SST and chlorophyll concentration ch1-a, and four sea environment and climate factors, (2) performing gray correlation analysis on four sea environment and weather factors, (3) choosing four factors having a highest association degree according to a gray association analysis result, wherein the four factors include: average sea surface temperature of an egg laying field in march, an interdecadal oscillation index of the pacific ocean in January, nino3.4 anomaly in march and average chlorophyll concentration in march; (4) establishing 8 prediction models based on the gray system according to four chosen factors; and (5) performing effective examination on 8 prediction models to choose a gray association model GM (1,4) structure as the prediction method for the northwest pacific ocean ommastrephidae bartramii winter-spring stock colony abundance. The prediction accuracy of the prediction method of the invention reaches more than 90%.

The invention provides a rolling technology and a heat treatment method of pre-hardening type plastic die steel.LGP20 series, LG718 series and LG2311 series steel plates with stock thicknesses of 220 mm are subjected to the rolling technology and heat treatment.A technological process comprises the following steps: plate blank heating, rough scale removal, rough rolling, finish rolling, straightening, cooling after rolling, nibbling shear, stack cooling, flaw detection, steel plate examination, marking, shot blasting, normalizing, stack cooling, shot blasting, tempering, surface checking and performance judging.The rolling technology and the heat treatment method of the pre-hardening type plastic die steel have the advantages that an optimal heating technology is determined, and influence of casting blank segregation to steel segregation is reduced; by normalizing and tempering technologies, a structure form similar to thermal refining is obtained, and the problem that a plastic die steel plate is easy to crack in a quenching process is avoided; through large-rolling-reduction rough rolling, compactness of the structure of a steel plate is improved, and internal shrinkage of the steel plate is reduced; cooling is controlled reasonably after rolling and normalizing, the ideal structure is obtained, and cracking of the steel plate is avoided; and weather factors are overcome, and goods can be produced and supplied all the year round.

The invention provides a power transformer time-varying outage risk assessment method considering weather factors. The method comprises the following steps: S1, establishing a comprehensive meteorological risk index system influencing the operation state of the power transformer; S2, according to the aging failure probability and accidental failure probability of the power transformer, obtaining the comprehensive time-varying operation failure probability of the power transformer; S3,using synthetic meteorological risk index to modify the synthetic time-varying operation failure probability ofthe power transformer, and obtaining the time-varying outage risk assessment model of the power transformer considering weather factors. According to the power transformer time-varying outage risk assessment method of the present invention, the meteorological factors which have great influence on the stable operation of transformer are quantified, and the fault outage model of transformer considering normal aging and accidental fault is optimized by using the synthesized meteorological risk index, and the time-varying outage risk model considering weather factors is obtained to make the riskassessment of transformer more accurate.

The invention provides a solar photovoltaic-commercial power jointly driven photovoltaic and photothermal integrated dual source heat pump hot water system. A heat pump compressor of the system is a direct current speed regulation compressor. According to a predetermined control scheme, the system can directly drive a heat pump through photovoltaic direct current to obtain domestic hot water whensunshine exists, and the system can be driven by the commercial power when light is not good, which makes up for the shortcoming that solar energy is unstable. A photovoltaic cell that provides directcurrent for the system is a photovoltaic and photothermal integrated battery module cooled by a flat heat pipe. Through efficient cooling, the module can improve the power generation efficiency of the photovoltaic cell, can obtain additional heat for directly producing domestic hot water or being provided for a dual source heat pump, and can also avoid anti-freezing problem caused by water cooling of the photovoltaic cell. Through intelligent control of the system, the solar photovoltaic-commercial power jointly driven photovoltaic and photothermal integrated dual source heat pump hot water system can comprehensively and efficiently utilize solar energy, can stably operate without being affected by weather factors such as insufficient sunshine, and has obvious advantages of energy saving,environmentally friendly and economic.

The present invention relates to a restricted Boltzmann machine-based photovoltaic power generation short-term power probability prediction method. According to the method, an improved depth-restricted Boltzmann algorithm is adopted. The method includes the following steps that: a genetic algorithm optimized depth-restricted Boltzmann machine-based learning prediction model is built; the similar dates of a date to be predicted are searched through a gray correlation coefficient method; and with the historical electricity generation power data of the similar dates and the weather factor information of the predicted date from data weather forecasts adopted as the input quantity of the model, the output power information of a photovoltaic power generation system in the predicted date adopted as the output quantity of the prediction model, and actually measured information of one month adopted as the sample data of the prediction model, the photovoltaic power generation output power in 1 to 24 hours is predicted, and the probability density function of a predicted point is obtained; and a genetic algorithm is adopted as an optimization model, and the crossover rate of the genetic algorithm is 0.6, the value of the variation rate of the genetic algorithm is 0.2; and the number of the structural layers of the depth-restricted Boltzmann machine is set to be four layers. The method of the present invention is advantageous in high prediction accuracy.

The invention provides a cleaning and drying device of Chinese medicinal materials. The cleaning and drying device is characterized by being composed of a cleaning device and a drying device and is reasonable in design and simple in structure. A plurality of sieves are arranged in a cleaning tank, and therefore the medicinal materials can be sorted when cleaned, the production efficiency is effectively improved, and the production cost is lowered; a filtering net is arranged at the joint between the bottom of the cleaning tank and a water pipe so that residue powder of the medicinal materials can be filtered, the residue powder of the medicinal materials can be collected through a filtering residue outlet and can be used as fertilizers or fodder, and the phenomenon that resource waste is caused because the residue powder is washed away along with water can be avoided; and a circulating water pump is adopted, and therefore water resources can be effectively saved. According to the cleaning and drying device, the dried Chinese medicinal materials are clean and sanitary, the drying efficiency is high, the Chinese medicinal materials can be continuously dried without being influenced by weather factors and can be heated more uniformly in the drying process, the drying speed of the medicinal materials can be increased, and the drying quality of the medicinal materials can be improved.

The invention discloses a road construction site monitoring system and belongs to the field of construction monitoring systems. In the road construction site monitoring system, an image shot by the camera is compared with worker information stored in the cloud end of the Internet of Things; the identification work of construction personnel can be quickly completed; normal construction of a road construction site is facilitated; technology for simultaneously utilizing internet of things, a response plan is made in advance for weather change of a construction area or long-time severe weather; aconstructor is instructed to reasonably adjust the construction work; the influence of weather factors on road construction is reduced as much as possible; meanwhile, the construction in the construction site fence is monitored in real time by utilizing a plurality of groups of environment-friendly detection devices built around the construction site fence, so that the influence of a pollution source generated by a road construction site on the external environment is reduced, the phenomenon that construction disturbs residents is avoided, and civilized construction is realized.

The invention provides a transmission wire icing thickness prediction method and device. The method comprises steps that a wire icing thickness radius and an icing radius including a wire are acquired, and a first wire icing standard thickness is acquired according to the wire icing thickness radius and the icing radius including the wire; mesoscale numerical weather prediction meteorological factor data is acquired, and the second wire icing standard thickness is acquired according to the mesoscale numerical weather prediction meteorological factor data; according to the first wire icing standard thickness and the second wire icing standard thickness, an ice thickness coefficient is acquired through calculation; weather factors in pre-determined categories and quantity are acquired according to the mesoscale numerical weather prediction meteorological factor data; the ice thickness coefficient and the weather factors are inputted to a SVM machine learning model for fitting, and a fitting function model is acquired; mesoscale numerical weather prediction meteorological factor data corresponding to to-be-detected data is inputted to the fitting function model, and a prediction ice thickness coefficient and the prediction wire icing thickness information are acquired.

The invention provides a negative pressure bucket anchoring device provided with barbs, an installation method and a floating type offshore wind plant. The negative pressure bucket anchoring device provided with the barbs comprises a negative pressure bucket body, the lower end of the negative pressure bucket body is open, the upper end of the negative pressure bucket body is provided with a close cover, the negative pressure bucket anchoring device further comprises a one-way draining valve, the one-way draining valve is installed on the close cover, a water inlet of the one-way draining valve is communicated with the negative pressure bucket body, the barbs are arranged on the outer wall and/or the inner wall of the negative pressure bucket body, and multiple anchoring connection assemblies connected with an anchor chain are arranged on the close cover. According to the negative pressure bucket anchoring device provided with the barbs, the installation method and the floating type offshore wind plant, frictional resistance between the negative pressure bucket body and silt is increased through the barbs, anchoring capability is improved, meanwhile, the pressure difference is formed between the interior and the exterior of the negative pressure bucket body through the one-way draining valve, the negative pressure bucket anchoring device is further inserted into a silt layer of the seabed through pressure of seawater, basic cost of a deep sea floating type wind turbine is effectively lowered, the installation cycle of the deep sea floating type wind turbine is effectively shorted, and construction difficulty of the floating type offshore wind turbine and influence of the weather factors on offshore operation are lowered.

The invention relates to a solar/off-peak electric compound energy conduction oil heating supply system, formed by a concentrating solar collector, an electric heating conduction oil boiler, a heat accumulator, a heat exchanger, and a heat consuming device which are connected through pipes. The oil-conveying pipe of the concentrating solar collector is connected with the lower part of the heat accumulator. The hot oil pipe of the concentrating solar collector is connected with the hot oil inlet of the heat accumulator. The oil inlet pipe and the oil outlet pipe of the electric heating conduction oil boiler are respectively connected with the oil outlet and the oil inlet on the lower part of the heat accumulator. The hot oil inlet pipe and the oil return pipe of the heat exchanger are respectively connected with an upper part hot oil outlet and a lower part oil return port of the heat accumulator. The hot oil pipe and the oil return pipe of the heat consuming device are respectively connected with the hot oil outlet and the oil return inlet of the heat exchanger. The concentrating solar collector is used to reduce to consume conventional energy to the largest extent. The heat accumulator is used to store heat energy, balancing heat generated by the system and thermal load of heat consumption. Off-peak electricity of a power grid at night is used as an auxiliary energy, so that normal heat supply of the system is not influenced by weather factors.

The invention provides a calculation method for the saturation flow rate of lanes based on electronic police data. A highly efficient and precise method is provided for acquisition and processing of timing data of signal lights at an intersection. Firm data support is provided for optimization of the timing of signal lights at the intersection. The calculation method plays an important role in improving of efficiency of intersection signal timing schemes, and in improving implementation effects of urban traffic control and operation efficiency of the whole traffic system. According to the invention, in the calculation of the lanes, the time headway and the saturation flow rate are used as important factors in determination of periods of signal timing; by differentiating weather factors like sunny days, rainy days and snowy days, based on a large number of history data, precise data calibration is performed on parameters; functions of big data are fully played in calibration of the parameters; and data basis is provided for precise scene type signal timing.

The invention relates to a device for Jun porcelain calcination using hot coal gas. The invention ensures the natural features of Jun porcelain obtained by the conventional coal calcination, overcomes the problem that the current natural gas or liquefied gas calcination is affected by human and weather factors, and solves the problems of long calcination time, large coal consumption and difficulty in control. The device has the following structure: the hot coal gas outlet of a coal gas producer is connected with a cyclone dust collector and then the hot coal gas inlet in the lower part of an adsorption dust collector via a coal gas pipe; a movable filter plate is arranged transversely inside the shell of the adsorption dust collector; a granule adsorption filter screen is arranged inside the shell of the upper part of the movable filter plate, a porous partition is arranged in the lower part of the granule adsorption filter screen; a gas pipe is arranged at the bottom of the shell of the lower part of the movable filter plate and extends into a water-sealed tank in the lower part; and a coal gas outlet pipe is arranged on the adsorption dust collector and communicates with a Jun porcelain kiln. The inventive device has the advantages of novel structure, easy installation, convenient operation, low cost, high efficiency, low energy consumption, high qualified rate and less environmental pollution. The invention is an innovation of Jun porcelain calcination equipment and has good economic and social benefits.

The technical proposal of the invention discloses a method for predicting a cleaning cycle of a photovoltaic module, comprising the following steps: S1, determining a photovoltaic derating factor; S2:determining the economic loss according to the photovoltaic derating factor, the cost of cleaning once, the number of uncleaned days, the photovoltaic price, and the number of full-time hours in a photovoltaic year; S3: determining the optimal cleaning period U according to the economic loss. Compare with a fixed cleaning period, the method obtains a cleaning period with minimum economic loss ofthe photovoltaic module through an optimized calculation method, and considers the influence of weather factors on the cleaning time of the photovoltaic module, so that the economic benefit is better.