58 results about "Weather analysis" patented technology

The invention relates to a weather forecast method and system. The method comprises the following steps: obtaining a weather analysis field sequence within a nearest set time length of a forecast area; inputting the latest weather analysis field sequence into a depth neural network of the forecast area to carry out depth learning to obtain output of the depth neural network of the forecast area; and taking the output as a forecast field sequence within a forecast time length starting from the current time of the forecast area. The system comprises an analysis field obtaining module, which is used for obtaining the weather analysis field sequence within the nearest set time length of the forecast area; and a forecast module, which is used for inputting the latest weather analysis field sequence into the depth neural network of the forecast area to carry out depth learning to obtain the output of the depth neural network of the forecast area, and taking the output as the forecast field sequence within the forecast time length starting from the current time of the forecast area. The weather forecast method and system allow weather forecast to be more accurate.

A system and method for outputting weather data associated with a user-specified location based on a user-specified weather inquiry, including weather data output based on user-specified weather conditions, locations output based on a user-specified weather inquiry, notifications output regarding weather-related warnings, and notifications output based on weather-related notification thresholds.

The invention discloses a mobile terminal and a method for automatically adjusting the brightness of a backlight. By adding a weather acquisition module, a weather analysis module and a backlight brightness adjustment module in the mobile terminal, the brightness of the backlight can be adjusted in real time according to the current weather condition, the brightness of the backlight of the mobile terminal can be automatically and appropriately adjusted under the severe weather conditions, and a user can conveniently use the mobile terminal. The invention relates to a mobile phone which is particularly applicable to wilderness explorers or residents in severe weather frequent areas, so that the user can use the mobile phone conveniently in different weather environments.

The invention discloses a system for calculating the icing thickness of power transmission lines. The system comprises a monitoring device, a server and a wireless transceiver device, wherein the monitoring device is arranged at the power transmission line; the server is arranged at a monitoring room; the wireless transceiver device is arranged at the power transmission line and is matched with the monitoring room also arranged at the power transmission line for use; the server comprises a data rough processing module and an artificial neural network module; the data rough processing module comprises an information completeness processing unit, a data discretization processing unit and an attribute reduction processing unit; and the artificial neural network module comprises an application model unit and a model algorithm optimizing unit. In addition, the invention also discloses a method for calculating the icing thickness of power transmission lines. According to the system and the method, a weather analysis method and an image analysis method are combined (the image analysis method functions as verifying the calculation result of the weather analysis method); and an artificial intelligent principle is brought in for learning and reasoning, so that constant optimization of the calculation models is realized, so that the icing thickness is calculated accurately.

The invention relates to the technical field of unmanned driving, in particular to an unmanned intelligent vehicle speed management system, comprising a monitoring end, a driving end, an execution endand a processor; the monitoring end comprises a camera, an obstacle detector, a distance sensor, a fault detector, a weather monitor and a speed sensor, the camera is electrically connected with an image acquisition module, the image acquisition module is electrically connected with an image processing module and a visibility analysis module, the obstacle detector is electrically connected with an obstacle scanning module, the distance sensor is electrically connected with a distance detection module, the fault detector is electrically connected with a fault detection module, the weather monitor is electrically connected with a weather analysis module, the speed sensor is electrically connected with a speed detection module, the driving end comprises a positioning module and a navigationmodule, and the execution end comprises a speed reducing unit, an acceleration unit and a constant speed unit. According to the unmanned intelligent vehicle speed management system in the invention, real-time monitoring is carried out according to the driving environment of the automobile, so that the intelligent and safe driving of the automobile is ensured.

The invention relates to a weather forecast method. The method comprises the following steps of acquiring a first weather analysis field sequence in a forecast area between a first historical moment which has a set duration with a current moment and the current moment; searching a second historical moment which has a forecast duration with the current moment; acquiring a second weather analysis field sequence in a forecast area before the second historical moment, and calculating a matching degree of the first weather analysis field sequence and the second weather analysis field sequence; when the calculated matching degree is not less than a preset threshold, acquiring a third weather analysis field sequence which takes an end moment of the second weather analysis field sequence as an initial moment and whose time duration equals to the forecast duration and taking the acquired third weather analysis field sequence as forecast weather data corresponding to the forecast duration in the forecast area. Through the historical weather data, weather forecast is performed, and accuracy of the weather forecast is high.

The invention discloses a natural lightning strike discharge process monitoring system, comprising an intelligent terminal, a server, a light control curtain device, a temperature and humidity sensor,a first photographing device, a thunderstorm weather analysis device, a high speed photographing device, an electric field measurement device, a magnetic field measurement device, a thunder detectiondevice, a light detection device and a second photographing device. The thunderstorm weather analysis device is connected with the second photographing device, the temperature and humidity sensor, the high speed photographing device, the electric field measurement device, the magnetic field measurement device and the thunder detection device. The server is connected with the intelligent terminal,the high speed photographing device, the electric field measurement device, the magnetic field measurement device, the thunder detection device, the light detection device, the second photographing device and the first photographing device. Thunder and lightning observation data can be fully automatically and reliably collected in a thunder and lightning observation process. The defect resultingfrom manual operation can be effectively reduced. Working efficiency can be effectively improved.

A broadcast network for selectively transmitting individualized weather output signals to at least one of a plurality of communicator devices remotely located from the broadcast network. The broadcast network comprises a user input database, a communicator location database, a weather analysis unit, and a communication network. The user input database contains a plurality of user profiles. At least some of the user profiles contains parameters provided from a pre-defined user profile. Each user profile includes a user identifier code. The communicator location database contains real-time data indicative of the spatial locations of the communicator devices. The weather analysis unit automatically and continuously compares the parameters in the user input database and the spatial locations of the corresponding communicator devices contained in the communicator location database with real-time weather data to generate individualized weather output signals. The communication network receives the user identifier codes and the individualized weather output signals. The communication network transmits each individualized weather output signal to the particular communicator device identified by the user identifier code.

The invention provides a weather analysis method and device based on a radar echo figure, and relates to the technical field of weather forecast. The method comprises the steps of determining a corresponding relation between each piece of radar echo strength information and the occurrence probability of a specified weather type in at least one observation point in advance according to the radar echo strength information and the occurrence of the specified weather type of the at least one observation point at multiple historical moments in a target area; determining the radar echo strength information of the current moment of each observation point in the target area; and using the corresponding relation between each piece of radar echo strength information and the occurrence probability ofthe specified weather type in at least one observation point to determine the occurrence probability of each specified weather type at the current moment in the at least one observation point. According to the method and device provided by the invention, the occurrence probability of the specified weather type can be objectively and quantitatively acquired according to the radar echo figure, meanwhile, the clear and simple weather service is provided for the non-meteorological professionals when relative business decisions are made.

The present invention discloses a weather radar map analysis system which is used for adjusting and displaying the radar maps of multiple areas in real time according to needs. The system specifically comprises a weather radar system, a meteorological data extraction component, a meteorological data superimposing component, a meteorological data analyzing component, and a meteorological data output component. The meteorological data extraction component is used for extracting the weather feature data of a meteorological object from a weather radar system. The meteorological data superimposing component is used for superimposing the weather feature data extracted by the meteorological data extraction component into a map and obtaining a weather radar map superimposed to the map. The meteorological data analyzing component is used for carrying out weather radar map analyzing on the weather radar map superimposed to the map and generating a weather analysis result corresponding to the meteorological object. The meteorological data output component is used for outputting the weather analysis result generated by the meteorological data analyzing component.

The present invention is a unique combination and physical packaging of low power COTS electronics, real-time operating system, and custom firmware that relays data, messages, and GPS position through the Iridium Short Burst Data (SBD) satellite system. It is a data collector, processor, transmitter, location reporting, and data storage device that provides bi-directional satellite communications anywhere in the world. The combination is very low power and economical as compared to other devices. It can be used for many unattended remote data collection and reporting needs. The smart module may be used in measuring and reporting remote marine data for marine weather analysis, forecasts, and warnings.

The invention provides a short-term weather subjective analysis system for mobile terminals, comprising a data server side and a mobile client side. The data server side comprises a live data receiving and monitoring module which is in communication connection with a data server, a weather radar data conversion module which is used to convert the data format of radar base data from polar coordinates into plane rectangular coordinates, an encrypted automatic meteorological station data test module which is used to test the quality of meteorological elements, a data packing and compressing module which is used to merge, pack and compress all kinds of meteorological data, and a data service module which adopts a UDP protocol to push a data file generated through the above steps to mobile terminals and is used to provide access-controllable external data pushing service. The mobile client side comprises a data access module, a data processing module, a graph drawing module, and a user interaction module. The beneficial effect is that the system can provide interactive and visual weather condition monitoring and subjective weather analysis and forecasting functions and applications for professional outdoor operation personnel through convenient mobile devices, and is especially applicable to environments or regions with poor wireless Internet access ability and low Internet speed.

The invention discloses a weather analysis and forecast service platform. The main flow module of the platform comprises weather conditions, numerical forecasting, comprehensive analysis, forecastingproduction, professional service and platform management. The weather conditions comprise ground conditions, urban weather, satellite cloud charts, weather radars and typhoons; the numerical forecasting comprises numerical forecasting and a profile map; the comprehensive analysis comprises basic weather analysis, live mapping, national 24h rainfall, national visibility live and air pollution diffusion condition forecasting; the forecasting production comprises forecasting product drawing and historical products; the professional service comprises template editing and historical service products, and the platform management comprises user management and user authority management. The method is of great significance in improving normalized and business professional service levels for different industries such as new energy, railways, environmental protection, aviation, marine transportation and the like, and improving the effects of meteorological service in the aspects of energy conservation, efficiency improvement and loss reduction in related fields.

The invention discloses an e-commerce fresh commodity express delivery management system based on big data. The system comprises a handover time point determination module, a time period weather analysis module, an intelligent delay judgment module, a video monitoring tracking module, an analysis cloud platform, a distribution information database, a hierarchical reminding module, a credit investigation management analysis module and an information management display terminal. According to the invention, the weather condition of the time period from the distribution time point to the handovertime point is checked to judge whether the handover time point is delayed or not and the delay duration; graded reminding is carried out on the delayed handover time points; meanwhile, the distribution behaviors of the distributors in the distribution process are monitored; and finally, according to the final docking result condition of the credit investigation management analysis module on the delivery party and the client party, credit investigation statistical management and display of the two parties are carried out, so that the deliveryman and the client can visually know respective credit investigation states, behavior constraints on the deliveryman and the client party are realized, and the comprehensive quality of the delivery service is improved.

The invention relates to a meteorological data extraction and visualization method based on big data processing and a four-dimensional analysis algorithm. The method comprises the following steps: establishing a dynamic meteorological database; establishing an operation database (the timeliness of operation data needs to be ensured); data processing: extracting meteorological data (a four-dimensional analysis algorithm, a weather recognition algorithm and big data processing) accurately matched with the operation data; and carrying out data visualization. The invention is applied to the field of aviation meteorology, realizes rapid, comprehensive, timely and accurate understanding of the potential risk of flight operation by accurately extracting and displaying the weather factor condition of the whole flight range, and can solve the problems of difficult comprehensive flight weather analysis, difficult specific communication, difficult timely data, difficult clear monitoring and the like in actual operation. Weather elements can be comprehensively, timely and accurately known, and efficient information transmission is realized.

The invention discloses a historical similarity weather analysis method, which belongs to the technical field of weather monitoring, and comprises the following steps of: firstly, obtaining historicalreal condition data and current real condition data of weather; calculating a comprehensive similarity coefficient of each layer by utilizing weather of the historical live data and the current livedata; and finally, calculating the similarity degree by utilizing the comprehensive similarity coefficient of each layer. By adopting the similarity analysis method provided by the invention, the historical similarity can be effectively analyzed, and the accuracy is high.

The invention discloses a strong convection weather forecast analysis system, belonging to the technical field of data processing. The system includes a storage module, which is used for storing the algorithm set of severe convective weather and the parameter file of drawing graph. A data receiving module, configured to receive meteorological data; A meteorological data analysis module is connected with a data receiving module and a storage module, and is use for calling a strong convective weather algorithm set to analyze that meteorological data and obtaining the strong convective weather analysis data; The graphics rendering module is connected with the storage module and the meteorological data analysis module, and is used for graphics rendering of the severe convective weather analysis data based on the time parameter to obtain the severe convective weather meteorological graphics; The output module is connected with the graph drawing module, and is used for outputting the weathergraph of severe convective weather. Based on the dynamic, water vapor and environmental conditions of severe convection, the system integrates relevant professional algorithms, and can be used to diagnose and forecast thunderstorm, hail, thunderstorm gale, short-time heavy rainfall and other convective weather.

The invention discloses a road condition detection rod, which comprises a vertical rod. The vertical rod is provided with a climbing ladder. The vertical rod is equipped with an LED guiding screen, a voice broadcast device, a velocity measurement radar, a video monitor and a temperature and humidity sensor from the up down in sequence. The lower edge of the LED guiding screen is provided with a maintenance device. The LED guiding screen, the voice broadcast device, the velocity measurement radar, the video monitor, the temperature and humidity sensor and the maintenance device are connected mutually through control lines arranged in the vertical rod. The upper end of the vertical rod is provided with grooves for mounting and fixing the LED guiding screen. The video monitor is internally provided with a CCD image sensor. The beneficial effects are that all devices are mounted on one rod, thereby solving the problem of the need of manufacturing a plurality of device installation rods and rod foundations, and saving engineering resources; and since a plurality of road condition detection devices are connected together, through road and weather analysis of each device, comprehensive road condition information with a certain range and time can be monitored in a more concentrated manner.

The embodiment of the invention discloses an estimation and correction method and device for air sounding observation data. For each air pressure layer involved in to-be-estimated target air soundingobservation data, the evaluation parameters for evaluating the quality of the air sounding observation data of the air pressure layer through the second air sounding observation data observed at the air pressure layer and corresponding mode background data, and the evaluation and correction of the quality of the target air sounding observation data are performed through the evaluation parameters,so as to improve the quality of air sounding observation data. The method achieves the joint evaluation of the quality of the air sounding observation data of the same air pressure layer through the evaluation parameters, and the evaluation result is more accurate. Meanwhile, the method achieves the correction of the air sounding observation data through the evaluation parameters, enables the airsounding observation data to be more reasonable and facilitates the application of the data into an experiment or weather analysis.

The invention discloses an intelligent rainwater regulation and storage pool monitoring system and monitoring method, relates to the technical field of rainwater regulation and storage and is appliedto a rainwater regulation and storage device. The rainwater regulation and storage device comprises a rainwater regulation and storage pool and a control device, the rainwater regulation and storage pool is provided with a connecting pipeline, a detection device connected with the control device and a water pumping device, and the control device is in communication connection with the outside through a signal transmission device. The intelligent rainwater regulation and storage pool monitoring system comprises a monitoring cloud platform system and a meteorology and weather analysis early warning system. The meteorology and weather analysis early warning system is used for acquiring meteorology early warning data; the monitoring cloud platform system can receive the meteorology early warning data and the operation data of the water pumping device and the detection device, transmit the data to the outside, and control the control device according to the received meteorology early warning data and / or instructions. The system has the beneficial effects that the system has both automatic and manual modes, manual field management of the rainwater regulation and storage pool is replaced,a large amount of manpower and material resource cost is saved, and the rainwater regulation storage pool can give full play to the regulation and storage function.

The invention discloses a digitizing method of weather facsimile signals. The method mainly comprises the following steps: (1), converting analog signals into digital signals and transmitting the digital signals to an upper computer; (2), firstly, searching an image head corresponding to the received digital signals; (3), finding a row head of a corresponding image and continuously receiving corresponding image signals; (4), judging whether the whole signal receiving is finished or not, going to the step (5) if finishing the signal receiving and ending the whole receiving process and returning to the step (3) if not finishing the signal receiving; and (5), forming an image file according to the received image signals. The invention converts and stores the weather analog signals into the digital signals as a BMP file so as to be beneficial to the weather analysis of the whole course and provide data support for course construction.

The invention provides a weather observation method and system based on a mobile electronic device. The method comprises the steps of: obtaining the position data and the air pressure value of the geographic position where a mobile electronic device is located through the sensor of the mobile electronic device at the unified observation time point according to the default sampling frequency; basedon a geographic grid to which the position data belongs, comparing the air pressure value with the air pressure value obtained in the same geographical grid at the last time, and when the change amount of the air pressure value exceeds a preset threshold value, uploading the position data and the air pressure variation to a central processing device through a data communication network; and analyzing the variation of the air pressure value uploaded to the central processing device through a weather analysis algorithm, generating a weather analysis result of the geographic grid to which the position data belongs, and providing the weather analysis result through a data communication network.

The invention discloses a multi-simulation reference source-based instrument on-orbit performance evaluation method, which comprises the following steps of: selecting a plurality of numerical weather analysis fields / forecast fields including ECMWF, NCEP, T639, ERA5 and GRAPES as input fields of a plurality of radiation transmission modes, generating simulation data, optimizing a multi-background field and multi-mode result by using a weighted correlation method, and evaluating the on-orbit performance of an instrument. The improved analog data is used as a reference source of the OMB method, so that the quality of observation data of an instrument can be better monitored; according to the method for evaluating the on-orbit performance of the instrument with the multiple simulation reference sources, the simulation reference sources subjected to set optimization are provided to serve as the basis of quality evaluation, and the monitoring precision of a multispectral imaging / hyperspectral detection instrument is improved; and the service assimilation application degree of satellite data in the earth system numerical forecasting center (CEMC) of the China meteorological bureau, the European mesoscale weather forecasting center (ECMWF) and the global main numerical forecasting center of the British meteorological bureau (UK-MO) is effectively improved and supported.

The invention discloses a three-dimensional visual typhoon analysis method. The method comprises the following steps: firstly, carrying out scalar rendering; carrying out vector rendering; and finally, carrying out spatial information fusion and carrying out playing according to a time sequence. Compared with a previous analysis method, the method has the following advantages that the method is simple, rich and visual, and in general, three-dimensional visualization is introduced into weather analysis work, so that service personnel can be helped to visually know the three-dimensional structure of a weather system, verify the accuracy of mode prediction, check the reliability of assimilation data, guide the construction and optimization of an observation station network and the like.

The invention relates to a soil irrigation diagnostic device based on the Internet of things and the Bluetooth technology. The device comprises Bluetooth soil moisture detection equipment, mobile application software and a remote network service platform, wherein the Bluetooth soil moisture detection equipment is used for detecting the surface soil moisture content, and the mobile application software can be used for reading, displaying and storing the soil moisture data, acquiring real-time and future weather forecasts and weather analysis, further acquiring crop water requirements through calculation and providing accurate and effective irrigation advices. The data can be sorted and transmitted by the mobile application software to the remote network service platform for model calculation, problems of destroying the soil structure and workload in root area when measuring the average moisture content by excavation section and borehole method are solved, and the operation speed of an intelligent handset is further improved. The device is advantaged in that the wireless charging technology is employed, conditions that the water and other impurities are easy to enter charging ports to cause damage to instruments when the device detects the soil moisture in the harsh environment of the field are avoided, and service life of the device is prolonged.

The invention discloses an indoor formaldehyde purification device and a working method thereof. The indoor formaldehyde purification device comprises a data acquisition module, a data analysis moduleand a weather analysis module, the data acquisition module is used for acquiring house information; the weather analysis module is used for analyzing the weather condition of the area where the houseis located, the influence of the external environment on indoor formaldehyde purification is obtained through data calculation when formaldehyde purification is conducted on the house through the design, a formaldehyde purification worker can select appropriate indoor formaldehyde purification measures conveniently, and the indoor formaldehyde purification efficiency is improved; and the data analysis module is used for analysing the formaldehyde purification progress rate in the house, in the design, the actual working days of indoor formaldehyde purification are calculated by acquiring thereference purification efficiency threshold value, the number of green plants, the effective purification rate of the green plants and the death rate threshold value of the green plants, so that customers can know the overall progress of indoor formaldehyde purification conveniently, and meanwhile, the worker can conveniently plan formaldehyde purification affairs according to the number of working days.