457 results about "Weather monitoring" patented technology

A weather monitoring, measuring and reporting system which uses unattended, high-resolution digital cameras and laser rangers to both measure and display weather conditions in a local region, such as the region surrounding an airport. Visibility is estimated by processing images in the camera's field of view at known range distances. The light response of the camera is matched to the light response of the human eye. In a preferred embodiment of the invention, the camera generates a digital pixel image of range objects; that is, prominent terrain objects such as, buildings, water towers, etc. in the camera's field of view. The digital pixel values of these range objects are stored in system memory at known address locations. The contrast between an average background pixel value in a region adjacent to an object and the average object pixel value is used to determine if the object is visible. Objects in the field of view are sequentially examined until the contrast to an object falls below the established threshold at which point the visibility is reported as extending to the next closest object with a contrast above the threshold. If the contrast for all objects exceeds the threshold, the process stops and the visibility range is reported as unlimited.

The invention relates to a cloud system structure pre-warning system and method for riverway type reservoir tributary bay water bloom. The cloud system structure pre-warning system comprises a monitoring cloud module, an information cloud module, an application supporting module, a water bloom pre-warning module and a discussion decision-making module. The monitoring cloud module is composed of a field information collecting unit and an operation communication unit, storage media of the information cloud module are composed of movable distributed storage station nets combined fixedly, the application supporting module is composed of a basic supporting unit, an application customization unit, a data cooperation unit and an emergency response module, the water bloom pre-warning module is composed of a risk analysis unit and a pre-warning and forecasting unit, and the discussion decision-making module is used for achieving decision-making discussion and information sharing communication in a cloud environment. The cloud system structure pre-warning system and method for riverway type reservoir tributary bay water bloom achieve seamless linkage and operation control over the modules based on a cloud system structure, carry out all-weather monitoring, cloud storage and water bloom risk pre-warning on the inducing factors of the riverway type reservoir tributary bay water bloom and water bloom biochemical properties, and provide a new measure based on the cloud system structure for preventing and reducing water bloom events.

The disclosure is directed toward a method for safely managing aircraft separation. The method comprises a data integration host configured for: receiving aircraft information from a first aircraft; receiving weather data from a weather monitoring system; combining the aircraft information of the first aircraft with the weather data; formulating a position prediction of a wake vortex located within a critical safety volume of a runway; receiving from a sensor real time wake vortex data in a path of the first aircraft; comparing the real time wake vortex data to the position prediction to validate the position prediction and to formulate a determination of whether the wake vortex is present in the critical safety volume; and utilizing the determination to transmit spacing data to air traffic control, wherein the spacing data is at least one of standard wake vortex spacing and minimum radar spacing.

The invention discloses a method and a device for integrating radar and geographic information data, and a weather monitoring system. The device comprises an extraction module, a conversion module and an integration module, wherein the extraction module is used for extracting radar raster data; the conversion module is used for the space coordinate registration and projection conversion of the radar raster data based on a GIS base map; and the integration module is used for scanning the acquired radar raster data of the conversion module and merging the adjacent rasters with the same echo grade into a vector polygonal surface area datum to acquire a plurality of vector polygonal surface area data after merging. The invention can increase the speed for generating, displaying and analyzing the integration data.

The invention relates to an intelligent agricultural early warning system. A weather monitoring module is used for acquiring local weather data in real time; a pest and disease damage monitoring module is used for acquiring the pest and disease damage data of crops; a main control module is used for storing the acquired weather data and pest and disease damage data in a data storage module; the data storage module is used for transmitting the received weather data and pest and disease damage data to the buffer region of the main control module; a GPRS (General Packet Radio Service) wireless communication module is used for transmitting the weather data and pest and disease damage data in the buffer region of the main control module to a remote monitoring early warning platform through a wireless GPRS network; the weather data and the pest and disease damage data are compared with data in an expert database after being transmitted to the remote monitoring early warning platform, and solution information for coping with early warning is transmitted to a planter. The system is more practical to agricultural early warning, results obtained through early warning analysis are more accurate, the influences of weather changes on crop growth are predicted according to the weather monitoring data from weather forecast information, and the automatic degree is high.

The invention relates to a monitoring system and a monitoring method for image sensors. The monitoring method includes: monitoring a monitoring area by means of a low-frame-rate monitoring mode; and monitoring the monitoring area by means of a high-frame-rate monitoring mode when a moving object is discovered to enter the monitoring area, and selectively supplementing light for the monitoring area in the high-frame-rate monitoring mode. When the monitoring area is monitored by means of the low-frame-rate monitoring mode, exposure time for shooting each image can be prolonged, so that the signal intensity of the obtained monitoring image can be high, light supplementing is not needed even if in the dark environment, power consumption can be reduced, and high-quality images can be obtained and the monitoring area can be clearly seen. When the moving object is discovered to enter the monitoring area, the monitoring area is monitored from the high-frame-rate monitoring mode converted into the high-frame-rate monitoring mode, and selective light supplementing is performed, so that effective monitoring of the moving object in the monitoring area can be guaranteed, all-weather monitoring can be realized, and power consumption can be reduced.

The invention discloses a regional automatic weather station hourly rainfall data quality control method. The method comprises the steps that a discriminant model is established according to historical data; raindrop spectrometer data, weather radar data and automatic weather station rainfall data are collated in real time; the data of a number of raindrop spectrometers are used to evaluate and revise a radar echo intensity result; the relationship between the radar echo intensity and the rain intensity is fitted according to different precipitation types; the fitted relationship is substituted into a radar quantitative estimation precipitation module to realize radar quantitative rainfall estimation to acquire hourly rainfall; the set of weather radar estimated hourly rainfall and regional automatic weather station hourly rainfall is established; and comparing with the pre-established discriminant model is carried out to judge whether the regional automatic weather station hourly rainfall data are abnormal. The automatic weather station rainfall data are accurate and reliable. The observation data quality is improved. The method lays a good foundation for weather monitoring, early warning, forecasting and other businesses.

The invention discloses a hyper-spectral image classification method based on ridgelet and a depth convolution network, and mainly aims to solve the problem that the accuracy is low and the computational complexity is high for hyper-spectral image classification through the existing technology. The method comprises the following steps: (1) selecting training samples in a hyper-spectral image; (2) extracting spectral information and spatial information of the training samples; (3) forming training sample sets based on the spectral information and spatial information; (4) constructing a five-layer depth convolution network, and designing a ridgelet filter to initialize the network; (5) using the training sample sets to train a constructed neural network; and (6) using the trained neural network to classify the other training samples, thus completing image classification. The method has the advantages of high classification accuracy and high classification speed, and can be used in weather monitoring, environmental monitoring, urban planning, and disaster prevention and mitigation.

The invention belongs to the technical field of image processing and discloses a method and an alarm system for automatically identifying the wearing state of a work clothes work cap based on a video.Based on a video stream time sequence image, a moving object in the video image is extracted by combining a time domain difference and background subtraction. Classification of human objects and other objects is accomplished according to the detected feature of the target block and the time period feature of the outline of the block. Segmentation of the head and torso of the detected human target; In Lab color space, whether the human target head wears safety helmet or not and whether the torso part wears working clothes are analyzed intelligently. If security protection abnormality is found,the security alarm message shall be reported to the manager in real time, and at the same time, the security alarm message shall be filmed and archived. The invention does not need to increase the installation and maintenance cost of the equipment. Adopting artificial intelligence technology, it is easy to use and low cost to realize the all-weather monitoring of workers' and employees' service caps on the construction site, which has a great application prospect.

The invention relates to an intelligent patrol machine car. The intelligent patrol machine car comprises a car with road wheels and a motor, a control system which is arranged on the car, and a photoelectric track detector which is arranged on the car; the control system comprises a motor drive module, a track sampling and logic control module, a communication module, an infrared obstacle avoidance module and a temperature and humidity detection module; and the car communicates with an upper computer detection system by the communication module. The machine car has the advantages of being applied to fire protection and mould prevention of gain depots and all-weather monitoring, and avoiding labor consumption and fire resulting from negligence of staff. The car can automatically avoid obstacles and search routes, eliminates potential hazards, and judge whether the grain goes moldy according to the ambient humidity. Meanwhile, the car can also go to a plurality of hazardous environments to which human can not reach, and transmit the information acquired by a transducer to a computer which processes and displays the information by the communication module.

The invention relates to a ship monitoring method. The monitoring method comprises a target identification method and a target tracking method, wherein in the target identification method, after an intercepted real-time video image and a background image are subjected to differential operation and binarization, a ship target is obtained by using a region growing algorithm, and the identified ship target is tracked and locked. By matching the target identification method, the target tracking method, a target locking method and a pairing comparison and database management method, a monitoring system can capture a ship and acquire continuous ship video under the condition of fog or night so as to realize all-weather monitoring of a shipping lane, ensure smoothness of the shipping lane and safety of the ship, reduce manual operation and realize automatic management; and the data information and the like acquired by monitoring are stored into a database, so that the data information and the like are convenient for digital management of the ship, can be timely called as required and can assist managers in learning more information about the ship.

The invention discloses a device and method for detecting ice and snow thickness. The device comprises a ruler, a camera, a light-emitting diode (LED) floodlight and an image processing device, the ruler is used for being directly contacted with ice and snow and serves as a reference for ice and snow measurement, the LED floodlight is used for proving illumination for the ruler, the camera is used for collecting image data in a scope of the ruler, and the image processing device is used for obtaining the ice and snow thickness after processing the image data collected by the camera according to a dual threshold edge extractive image identification method. By means of the device for detecting ice and snow thickness, ice and snow quantitative measurement on public transit facilities such as airfield runways and expressways can be achieved, remote control of a computer can be achieved, multi-threshold real-time alarm on snow and ice disasters can be carried out, a provided intelligent supplementary lighting device can support all-weather monitoring, the dual threshold edge identification method removes background interference, and the device is high in reliability, simple in structure, visual in image and convenient to use.

The invention discloses an all-weather monitoring method for phased array antenna array plane deformation. The method comprises the following steps: main factors for antenna array plane deformation are determined, each factor is dispersed in a certain range, simulation working conditions are determined after a standardized orthogonal table is consulted, an antenna array plane finite element model is built, simulation working conditions are simulated one by one, structure deformation of the antenna array plane in different working conditions can be obtained, the simulation model is verified and corrected via a array plane deformation measurement result in a typical environment, simulation data is used as sample data, a phased array antenna array plane deformation monitoring nerve network model is built, the network structure parameters are determined orderly, a nerve network is trained and tested, antenna array plane working condition data which is monitored in real time is brought into a monitoring model, antenna array plane deformation is calculated in real time, and all-weather real time monitoring of phased array antenna array plane deformation can be realized. A problem of phased array antenna array plane deformation monitoring can be effectively solved, the method can be widely applied to the field of large-scale radar antenna precision control, and the method is particularly suitable for engineering equipment having high requirements for precision in complex working environment.

The invention provides an intelligent stress automatic alarm system for monitoring the stability of an underground metal mine, relating to a stress automatic alarm system for monitoring an underground metal mine, which is used for realizing the automatic alarm on ground pressure disasters, i.e. realizing the dynamic all-weather monitoring on the ground pressure stress of the mine. The system comprises stress sensors, a data collection device and a data processing and analysis monitoring system, wherein a power supply device supplies electricity to the data collection device; the data collection device is connected with one or a plurality of the stress sensors; the data collection device analyzes and processes the information collected from the stress sensors, judges whether the alarm is required to be started or not and transmits the processed information to the data processing and analysis monitoring system; and the data processing and analysis monitoring system analyzes an early warning operation platform of monitoring personnel, processes the data from the data collection device, and automatically analyzes and judges or provides the analysis result or the analysis course to analysis personnel for the judgment operation. The stress automatic alarm system is especially suitable for the ground pressure monitoring forecast of the underground metal mine.

The invention provides an evidence taking system for illegal parking based on a ball machine control mode, comprising a main control machine and a monitor ball machine. The main control machine comprises a power module and a control module. The monitor ball machine is connected with the control module of the main control machine and is used for monitoring and obtaining images on a located road section in real time and sending an obtained monitor image to the control module. Whether the illegal parking exists is judged by the control module according to the monitor image. If the illegal parking is discovered, the monitor ball machine is controlled to carry out photographing and evidence taking on the vehicle in illegal parking. The system can replace an artificial evidence taking mode for the illegal parking, automatically records a whole process of the illegal parking, can save a great deal of police force, and can implement all-weather monitoring and evidence taking to a parking forbidden road section or a parking forbidden road section with time limitation.

A control system for a tethered aerostat is provided, where up to two rotational and at least one translational degree of freedom are controlled to setpoints through the variation of tether lengths by an actuator system. The term tether includes a single tether, a tether group or a sub section of tether controlled by an individual actuator. Accurate rotational and translational control is essential for the successful operation of an aerostat under several applications, including surveillance, weather monitoring, and power generation. For a given use case, the controller can be constructed and arranged to manage the tradeoff between several key performance characteristics, such as transient performance, steady-state pointing accuracy, tether tension regulation, and power generation.

The invention provides an integrated omnibearing all-weather on-water and underwater monitoring system, and belongs to marine environment monitoring equipment. The system comprises a water surface floating platform, a quadcopter on-water unmanned aerial vehicle, an underwater robot and a ground control terminal; the water surface floating platform is communicated with the quadcopter on-water unmanned aerial vehicle and the underwater robot separately through zero buoyancy lines of cables with optical fibers, the water surface floating platform which serves as signal transfer, supplies electricity to the system and monitors on-water information and underwater information transmits electric energy and optical signals to the quadcopter water unmanned aerial vehicle and the underwater robot through the zero buoyancy lines and is communicated with the ground control terminal in a wireless data transmission mode. According to the system, energy supply for long-time work in any sea area is achieved, underwater signal transmission cost is reduced, the image transmission quality is improved, remote control is achieved, operation is convenient, on-water and underwater integrated omnibearing all-weather monitoring is achieved, the monitoring area is large, and the operation time is long.

The invention relates to a weather monitoring device, in particular to a new weather balloon, which comprises the following components by weight percent: 100 of centrifugal concentrated natural latex, 0.3 of casein, 0.3 of potassium hydroxide, 0.15 of peregal 0, 2 of sulphur, 1.5 of N-ethyl-N-phenyl dithiocarbamate zinc, 1 of N-phenyl-2-naphthylamine, 1.5 of zinc oxide, 1.5 of dibutyl sebacate, 1.5 of IR-550 polyisoprene latex, 0.05 of dispersing agent NF, 0.05 of borax, 0.3 of sodium butylnaphthalenesulfonate, 0.5 of sodium hexametaphosphate, 8 of dioctyl sebacate and 10 of chloroprene polymer. The new weather balloon provided by the invention has the advantages of high sounding altitude, long sounding time and wide application prospect.

The invention discloses a method for maintaining rail transit safety based on big data. The method comprises a fire monitoring unit, a vibration detecting module, a parking monitoring module, a weather monitoring module, a height measurement module, a data determination unit, a big data module, a controller, a display module, a storage module, a database, an alarm module, and a data correction module. According to the method for maintaining rail transit safety based on big data, a fire location can be analyzed in time through a temperature sensor group, a wind detection module and a video monitoring group which are arranged in the fire monitoring unit; and the required spread time of the fire to a high-risk area, a threat area and a normal area in the map information of the subway stationcan be calculated respectively through an estimation unit in combination with wind speed information. The calculating process comprises the following steps: calculating the spread speed of flames stored in the database at a wind speed according to the wind speed information, then calculating the distances from the fire location to each area, and dividing the distances by the spread speed to obtaina corresponding time; and then acquiring a threat value of the fire according to a correlation algorithm.

The invention provides a method for monitoring vibration and strain of key parts of a full-face rock tunnel boring machine and belongs to the technical field of real-time monitoring of underground construction for full-face rock tunnel boring machines. The invention is intended to provide a monitoring device and an all-weather monitoring warning system thereof. A vibration and strain sensor and a wireless data transmission system therein are used to acquire monitoring data in order to provide long-term real-time monitoring for vibration and strain states of key parts of a TBM (tunnel boring machine) main unit system during operating, operators can be reminded of performing maintaining in time, fatigue damage of key weak parts of the TBM main unit system is prevented, and operational safety and reliable of the TBM are ensured. The invention also provides a method for evaluating strain state of parts unable to be measured, namely, an equivalent mapping method. Therefore, a complete system for monitoring vibration and strain of key parts of the TBM main unit system in the whole process is constructed.