57results about "Atmospheric potential difference measurement" patented technology

The invention discloses a lightning early warning method based on atmospheric electric field networking data, which relates to the technical field of lightning early warning, and comprises the following steps: dividing electric field instrument data into time windows with a certain length, integrating and splicing effective data, and dividing the data into a crossed and overlapped region and a non-crossed and overlapped region; determining whether lightning activity occurs in each region or not to obtain a data set; a graph convolutional network model with an adjacent matrix is constructed, whether different electric fields are crossed or not is obtained according to the adjacent matrix, and if not, independent training is directly carried out; if the similarity m of the data of the electric field instruments is greater than or equal to 0.6, determining that the area is a crossed overlapping area, and performing fusion training on the data of the electric field instruments participating in the crossing; and if m is less than 0.6, determining that the area is a non-cross overlapping area, and at the moment, independently training data of different electric field instruments to obtain a thunder and lightning early warning model. According to the method, the capability of judging and fusing the signal confidence in the overlapping region is improved, and the accuracy and reliability of lightning early warning are improved.

The invention provides an atmospheric electric field measurement method and device, and relates to the technical field of electric field measurement. The measurement method of the atmospheric electric field comprises the following steps: controlling laser to pass through an atomic gas chamber to prepare Rydberg atoms; applying the atmospheric electric field to the atomic gas cell to form a first electric field, where the first electric field acts on the Rydberg atoms; applying an external voltage to the atomic gas chamber to form a second electric field, the second electric field acting on the Rydberg atoms; and detecting a photoelectric signal of the laser, and adjusting the external voltage according to the photoelectric signal so as to determine the atmospheric electric field intensity. According to the measurement method of the atmospheric electric field, the intensity of the atmospheric electric field is measured in real time by using an automatically-controlled closed loop.

The invention discloses a vehicle active lightning protection early warning and protection system and method based on electric field induction, and relates to the technical field of vehicle safety. According to the invention, multi-source data related to vehicle thunder and lightning risks are obtained and subjected to time synchronization through a multi-source sensing acquisition module, and a standardized data stream is output; the threatening recognition module is used for carrying out separation and mode recognition and outputting threatening event information and credibility indexes; the air breakdown risk assessment module quantifies the breakdown risk near the vehicle; the climate prior fusion module carries out drift correction on prior climate data of month and hour indexes and outputs a corrected risk index; and the fusion decision and execution module takes multiple types of indexes as input, generates a comprehensive risk index, performs grading judgment, outputs a corresponding protection instruction, and controls an execution mechanism to implement a corresponding grading protection action. According to the invention, active early warning and graded protection of the vehicle in the thunder and lightning environment are realized, and the safety of the whole vehicle and passengers and the reliability of an electronic system are improved.

Systems, methods, and apparatus for targeting a cloud are provided. A source of a lightning strike is predicted. Furthermore, an aerospace vehicle is operated to dispose a lightning suppression payload at a location associated with the source of the lightning strike.

Example systems, methods, and non-transitory computer readable media are directed to determining a geographic site to be assessed for lightning activity over a period of time; obtaining weather information associated with the geographic site, the weather information being generated by a weather prediction model for the period of time, wherein the weather information comprises a grid-based representation of a weather map; determining one or more grid points to assess the geographic site for lightning activity; evaluating weather-related metrics associated with the one or more grid points; determining one or more likelihoods of the geographic site experiencing lightning activity during the period of time based at least in part on the evaluation; and providing weather forecast information for the geographic site, the weather forecast information including at least the one or more likelihoods of the geographic site experiencing lightning activity during the period of time.

The invention discloses a thunderstorm weather assessment method based on rainfall and atmospheric electric field feature weighted fusion. The method comprises the following steps: determining a target area; multi-modal features are extracted; and an IGBDT model is constructed. The invention provides a technical scheme with high physical interpretability and excellent classification performance for severe convection weather monitoring.

The present invention provides an electric field strength acquisition device that improves weather resistance by suppressing the intrusion of rainwater and dust, while also being able to accurately acquire the electric field strength in the atmosphere. [Solution] An electric field strength acquisition device 1 for acquiring electric field strength in the atmosphere comprises: an electric field strength acquisition sensor 10 for acquiring electric field strength; a case member 30 that supports the electric field strength acquisition sensor 10 and is arranged to cover the top and side surfaces of the electric field strength acquisition sensor 10; and a cover member 20 that covers the bottom surface of the electric field strength acquisition sensor 10 and is supported by the case member 30. The cover member 20 is formed in a weight shape and is arranged in a convex shape toward the detection area of ​​the electric field strength acquisition sensor 10. The bottom surface of the cover member 20 is water-repellent. The case member 30 can be made of a non-conductive resin or a conductive material.

To appropriately estimate a lightning current that is a lighting parameter on the basis of a radio wave of lightning observed by lightning location systems (LLS).SOLUTION: A lightning current estimation system associates a situation of an observed radio wave in accordance with which piece of past data the situation of the radio wave is close to from accumulation of past radio wave situations and current situations, estimates a lightning discharge path model M on the basis of an estimated radio wave situation and the accumulated current situations, derives a situation of a current of lightning that has struck the earth 4 from the radio wave of the lightning that has struck an apex 1a of a structure 1 and the lightning discharge path model M, and appropriately estimates the situation of the current of the lightning on the earth 4 where the structure 1 is installed.SELECTED DRAWING: Figure 1

The application discloses a thunder and lightning comprehensive detection early warning system and a thunder and lightning detection method thereof, which comprises an atmospheric electric field detection module, a meteorological radar module and a system module. The atmospheric electric field detection module is used for detecting characteristic value A of a thundercloud in a specific area, which at least contains electric field data. The meteorological radar module is used for detecting characteristic value B of the thundercloud in the specific area, which at least contains geographic position data. The system module is used for connecting the atmospheric electric field detection module and the meteorological radar module, and combining the received characteristic value A with the characteristic value B to form thunder and lightning early warning information. The application combines the meteorological radar and the atmospheric electric field equipment, embeds the meteorological radar device into the atmospheric electric field instrument, detects echo data by the radar, converts the echo data into an echo intensity color map, and superimposes the color map on a map to form a thunder and lightning detection early warning radar system.

A lightning-strike-danger-level derivation device according to the present invention derives a lightning-strike danger level for each of a plurality of regions defined in the form of a mesh on the basis of latitudes and longitudes. The lightning-strike-danger-level derivation device is provided with: an echo-intensity derivation unit that derives an altitude distribution of echo intensities for each of the plurality of regions by using observation data acquired from a meteorological radar; a temperature derivation unit that derives an altitude distribution of temperatures for each of the plurality of regions by using observation data acquired from a meteorological observation device; a feature derivation unit that derives features used to derive the lightning-strike danger level; and a lightning-strike-danger-level derivation unit that derives the lightning-strike danger level by using the features. The feature derivation unit derives a cumulative echo intensity for each of the plurality of regions, the cumulative echo intensity being a partial or entire cumulative value of echo intensities along the vertical direction. The lightning-strike-danger-level derivation unit derives an altitude distribution of lightning-strike danger levels for each of the plurality of regions by using the cumulative echo intensity and the altitude distribution of temperatures.

This invention discloses a fully automated, three-dimensional active defense system and method, belonging to the field of weather modification technology. The system monitors thunderstorm weather systems via airborne remote sensing satellites, triggering an early warning signal when the system moves to the outermost layer of the defense area. It combines this with a network-based ground-based radar monitoring system to continuously track and monitor thunderstorm cloud weather systems in real time, simultaneously sending various parameters to a lightning monitoring and early warning module. This provides criteria for detecting strong lightning electromagnetic fields, inverts the spatiotemporal parameters of lightning occurrence, and provides early warning and forecasting of the development trend of thunderstorm weather systems. A central control system then determines lightning dissipation and initiates operational commands. Finally, a mobile artificial lightning induction system is used to artificially intervene in the charge structure of thunderstorm clouds. This invention can mitigate the direct and indirect electromagnetic damage effects of strong lightning caused by the spatiotemporal unpredictability of severe convective weather and the instantaneous nature of strong thunderstorm discharge processes, protecting the safety of key locations and important sensitive targets.

An assembly and method for using weather sensors with enhanced modular capability is disclosed. The weather sensor assembly generally comprises a cap module, middle module, and a base module, where the cap module, middle module(s) and the base module are stacked adjacently to provide environmental sealing, weather sensing, and electrical connectivity to the weather sensor assembly. One or more ring mechanisms may be included that interlock the cap module, middle module(s), base module to form the weather sensor assembly into an integrated unit. Moreover, the ring mechanisms enable further modules to be added to the weather sensor assembly for additional capabilities. By doing so, each of the modules in the weather sensor assembly may be independent units that can be removed, reordered, swapped, and added for desired sensing modalities and environments.

The present application provides a thunderstorm activity observation and management system and method applicable to a power transmission channel. The method comprises: acquiring the number of thunderstorm days in each analysis period; respectively adjusting combined with a preset discrepancy threshold so as to obtain a thunderstorm intensity value of each analysis period; determining a voltage intensity coefficient for each analysis period according to line feature data of a power transmission channel acquired in each thunderstorm activity; and determining a thunderstorm activity assessment value according to the above two result values, wherein the thunderstorm activity assessment value is used for determining a defense level, thereby, defense resources can be scientifically allocated according to the defense level.

The invention discloses a ground electric field distribution determination method and device and a medium, and relates to the field of ground electric field distribution determination, and the method comprises the steps: determining a reduced characteristic curve according to known working condition parameters of known electric field distribution; unknown working condition parameters are determined; the known electric field distribution and the unknown electric field distribution correspond to the same wire splitting number; based on the reduced characteristic curve, according to known working condition data and unknown working condition parameters, determining space charge ground electric field distribution under the unknown working condition parameters; based on the conductor radius and conductor height in the known working condition parameters and the unknown working condition parameters, whether space charge field position scaling needs to be carried out or not is judged; if yes, determining ground electric field distribution of unknown electric field distribution based on space charge ground electric field distribution under the scaled space charge field position; and if not, determining the ground electric field distribution of the unknown electric field distribution according to the space charge ground electric field distribution, thereby accurately predicting the ground electric field distribution and avoiding the waste of human resources.

Example systems, methods, and non-transitory computer-readable media are directed to determining geographic sites for which lightning activity is to be evaluated over a period of time; obtaining weather information associated with the geographic site, the weather information being generated by a weather prediction model for the time period, where the weather information comprises a grid-based representation of the weather map; determining one or more grid points to assess lightning activity of the geographic site; evaluating a weather-related metric associated with the one or more grid points; determining one or more likelihood that the geographic site suffers from lightning activity during the time period based at least in part on the evaluation; and providing weather forecast information of the geographic site, the weather forecast information including at least one or more likelihood that the geographic site suffers from lightning activity during the time period.

The invention discloses a boundary layer turbulence dissipation rate inversion method and system based on difference correction. The method comprises the steps of completing deployment of observation data acquisition equipment and data space-time matching of the observation data acquisition equipment; obtaining and preprocessing observation data, and calculating an original turbulence dissipation rate value and a reference turbulence dissipation rate value; calculating a difference value between the original turbulence dissipation rate and the true value of the reference turbulence dissipation rate, and fitting a correction function suitable for different atmospheric conditions according to a relationship between the atmospheric environment and the difference value; and inputting the atmospheric environment parameters into the correction function, determining a correction index difference value, and then correcting the original turbulence dissipation rate to obtain the corrected turbulence dissipation rate. And the requirement on data accuracy in boundary layer turbulence observation is met.

The present application relates to the technical field of lightning protection, in particular to a lightning interceptor for forest lightning stroke area and a lightning current amplitude prediction method. The sensor built-in in the lightning interceptor collects various historical time series data of each monitoring point in each lightning stroke event; based on the fluctuation and difference characteristics of the historical electric field time series data, the field strength weight of each monitoring point is dynamically calculated, and the prominent point position significantly affected by lightning stroke is screened out; further combining the historical electric field and historical meteorological data to generate the predicted electric field time series data of the monitoring point, by analyzing the similarity, spatial position and field strength weight of the historical electric field of the prominent point position, the electric field similarity between the monitoring point and each prominent point position is obtained. Finally, based on the historical meteorological, electric field and lightning current data of the prominent point position, the network model is trained, the data contribution degree is adjusted by using the electric field similarity, the influence of different prominent point positions is learned by the model, and the stability and precision of the lightning current prediction are effectively improved.

The present invention relates to a method (10) for three-dimensional measuring of lightning strokes (L) comprising the steps of: - recording, at a plurality of remote stations (110, 120), electromagnetic waves generated by a lightning stroke (L); - pre-processing the recorded electromagnetic wave data; - transferring the pre-processed electromagnetic wave data of the plurality of remote stations (110, 120) to at least one data processing device (140) via at least one data network (130); - processing the transferred electromagnetic wave data of the plurality of remote stations (110, 120) at the at least one data processing device (140); and - determining a resolution of the lightning stroke (L) based on the processed electromagnetic wave data.

The embodiment of the invention discloses an electromagnetic composite antenna for lightning detection, relates to the field of lightning detection and positioning, and aims to solve the problems that a monopole antenna is high in grounding requirement, weak in anti-interference capability, high in false alarm probability and the like. The amplifier carries out differential amplification on signals of the induction antenna and the reference antenna and then outputs the signals to an analog-to-digital conversion (ADC) circuit; and digital signals output by the ADC are output to a computer or a DSP (Digital Signal Processor) for further processing.

Embodiments of the present invention provide a method, system, and medium for intelligent lightning protection management and control of unmanned aerial vehicles. The method includes: obtaining lightning cloud data and cloud development trend data based on cloud field dynamic information and meteorological forecast information in a target route area acquired by the unmanned aerial vehicle in real time; obtaining cloud electric field distribution data based on the lightning cloud data and cloud development trend data to generate a regional cloud electric feature portrait and extract a cloud electric area identifier; generating a target navigation route map based on the cloud electric area identifier and controlling the unmanned aerial vehicle to perform route correction according to the target navigation route map; thereby realizing intelligent lightning protection route correction based on intelligent monitoring technology, identifying the cloud electric field distribution of the unmanned aerial vehicle, obtaining the target navigation route map, and performing route correction, thereby improving the intelligence of lightning protection management and control of the unmanned aerial vehicle and the accuracy of lightning protection route prediction and setting.

To provide a technique capable of easily predicting occurrence of lightning.SOLUTION: A thundercloud detection system 1 includes an electric field meter 10 for observing an electric field in the atmosphere, and a thundercloud detection device 20 for acquiring observation data of the electric field from the electric field meter and detecting thunderclouds on the basis of a fluctuation width of electric field intensity and a fluctuation period of the electric field intensity included in the observation data.SELECTED DRAWING: Figure 1

The present invention discloses a lightning warning method based on atmospheric electric field networking data, which relates to the field of lightning warning technology, including dividing electric field meter data into time windows of a certain length, integrating and splicing effective data, and dividing the data into cross-overlapping areas and non-cross-overlapping areas, determining whether lightning activity has occurred in each area, and obtaining a data set; constructing a graph convolutional network model with an adjacency matrix, obtaining whether different electric fields cross according to the adjacency matrix, and directly performing independent training if they do not cross; if they cross, the similarity of the electric field meter data is m≥0.6, which is a cross-overlapping area, and the data of several electric field meters involved in the cross are fused and trained; if m<0.6, it is a non-cross-overlapping area, and the data of different electric field meters are trained separately to obtain a lightning warning model. The present invention improves the judgment and fusion capabilities of signal confidence in the overlapping area, and improves the accuracy and reliability of lightning warning.

An image capture apparatus comprises a focal plane array and a filter device. The focal plane array comprises a plurality of detectors and the filter device is coupled with and covering the focal plane array. The filter device comprises at least one set of spectral filters, comprising at least a first spectral filter, which comprising a first wavelength range, and a second spectral filter, which comprises a second wavelength range that is different from the first wavelength range. The filter device also comprises a plurality of polarization channels, each having a polarization value that is different than the polarization value of any other of the plurality of polarization channels. The filter device further comprises a plurality of sounding filters, each operable within a spectral wavelength range and each configured to determine a characterization of atmospheric conditions.

Technology is disclosed herein to generate an indication of a potential that a lightning event will result in ignition based on satellite data. In an implementation, a computing system obtains data associated with a lightning event. The data includes a location of the lightning event and one or more measurements of the lightning event captured by a sensor. The computing system identifies characteristics of the lightning event based at least on the one or more measurements. The computing system predicts the ignition potential of the lightning event based at least on the lightning characteristics and the fuels characteristics.

The invention discloses a lightning early warning system and method based on real-time data analysis. The system comprises a thunder and lightning monitoring and sensing module, a data acquisition and transmission module, a multi-source data fusion module, a real-time data analysis and risk assessment module, an early warning release and linkage response module, a visual monitoring platform and a historical data storage and model optimization module. Through the combination of the multi-source fusion module, the real-time data analysis and risk assessment module and the early warning release and linkage response module, the lightning condition can be analyzed based on real-time data, multi-dimensional lightning sensing, spatio-temporal information fusion and high-precision early warning are realized, early warning response strategies of different levels can be automatically triggered according to the real-time risk level, and the early warning efficiency is improved. Therefore, the thunder and lightning protection capability and the operation safety of the oil depot storage tank area are improved.

Example systems, methods, and non-transitory computer readable media are directed to determining a geographic site to be assessed for lightning activity over a period of time; obtaining weather information associated with the geographic site, the weather information being generated by a weather prediction model for the period of time, wherein the weather information comprises a grid-based representation of a weather map; determining one or more grid points to assess the geographic site for lightning activity; evaluating weather-related metrics associated with the one or more grid points; determining one or more likelihoods of the geographic site experiencing lightning activity during the period of time based at least in part on the evaluation; and providing weather forecast information for the geographic site, the weather forecast information including at least the one or more likelihoods of the geographic site experiencing lightning activity during the period of time.

The utility model discloses thunder and lightning early warning equipment, which relates to the technical field of early warning equipment and comprises a supporting rod and the ground, an equipment box is arranged on the outer wall of the supporting rod, a mounting mechanism is arranged on one side of the equipment box, a thunder and lightning early warning probe is fixedly mounted at the upper end of the supporting rod, one side of the equipment box is connected with a grounding wire, and the grounding wire is connected with the ground. One end of the grounding wire is inserted into the ground, the other end of the grounding wire is inserted into the ground, the upper end of the equipment box is fixedly provided with a sound-light alarm device, the interior of the equipment box is fixedly provided with a monitoring lightning protection module, the front end of the monitoring lightning protection module is provided with two groups of communication interfaces, and the front end of the monitoring lightning protection module is provided with two groups of remote signaling switches. According to the utility model, the functions of the early warning equipment are more comprehensive, various information monitoring such as grounding, lightning protection, direct lightning and power supply state can be realized, and local monitoring and remote monitoring can be realized through information technology.

To provide an electric field intensity acquisition device capable of improving weather resistance by suppressing intrusion of rainwater, dust or the like, and accurately acquiring electric field intensity in the atmosphere.SOLUTION: An electric field intensity acquisition device 1 for acquiring electric field intensity in the atmosphere includes an electric field intensity acquisition sensor 10 for acquiring electric field intensity, a conductive current collecting plate 20 insulated from the electric field intensity acquisition sensor 10 and disposed on an upper side of the electric field intensity acquisition sensor 10, and a case member 30 disposed to cover the electric field intensity acquisition sensor 10 and the current collecting plate 20 and having a side surface member 31 and an upper surface member 33. The upper surface member 33 is non-conductive and has a conical part 34 formed in a conical shape projecting upward, and an eaves part 35 overhanging to the outside of the side surface member 31 on the lower end side of the conical part 34. In the electric field intensity acquisition sensor 10, the upper end side of the side surface member 31 is covered with the eaves portion 34 in the side view of the case member 30.SELECTED DRAWING: Figure 1

The utility model discloses a split type visual thunder and lightning early warning device, which relates to the technical field of thunder and lightning early warning devices, and comprises a host end used for interaction and an acquisition end used for acquiring data, the host end is connected with the acquisition end through a first communication unit, and the first communication unit is connected with the acquisition end through a second communication unit. Compared with a traditional thunder and lightning early warning system, the thunder and lightning early warning system has the advantages that the coupling degree of function modules of the system is reduced, the structural size of the system is reduced, the system is small in occupied area during installation and arrangement, position selection is more flexible, and the system is more convenient to install and arrange. According to actual requirements, the host end used for data interaction can be arranged at any position, the flexibility and maintainability of the lightning early warning device during installation and use are improved, data operation can be carried out locally without arriving at a device arranged in an outdoor field environment, and the operation burden of operators is reduced.

The invention relates to the technical field of lightning protection, in particular to a lightning interceptor for a forest lightning stroke area and a lightning current amplitude prediction method. Collecting various historical time sequence data of each monitoring point in each lightning stroke event through a built-in sensor in the lightning interceptor; dynamically calculating the field strength weight of each monitoring point based on the fluctuation and difference characteristics of historical electric field time sequence data, and screening out prominent point locations which are obviously influenced by lightning stroke; predicted electric field time sequence data of the to-be-monitored point positions are generated by further combining historical electric fields and historical meteorological data, and the electric field similarity of the to-be-monitored point positions and the protruding point positions is obtained by analyzing the similarity between the predicted electric field time sequence data and the historical electric fields of the protruding point positions, the spatial positions and the field intensity weights. Finally, a network model is trained based on historical meteorology, electric field and lightning current data of the highlighted point locations, and the data contribution degree is adjusted by using the electric field similarity, so that the model adaptively learns the influence of different highlighted point locations, and the stability and precision of lightning current prediction are effectively improved.