50 results about "Ice thickness" patented technology

The invention discloses a simplified test natural river ice section flow calculation method, which belongs to the technical field of hydrological test, and comprises the following steps: dividing a section into a plurality of strip units; calculating the effective water depth of each measuring point according to the water depth and the water immersion ice thickness of the measuring point corresponding to each strip unit; calculating the area of each strip unit according to the effective water depth at each measuring point; according to the area of each strip unit, the accumulated section area and the accumulated hydraulic radius from the left bank and the right bank of the section to the strip units are calculated respectively; according to the accumulated section area and the accumulated hydraulic radius from the left bank and the right bank of the section to the strip unit, the relative unit width flow of the sections on the left side and the right side of the strip unit is calculated, and then the comprehensive relative unit width flow of the strip unit is calculated; and calculating the total flow of the section according to the proportional relation between the comprehensive relative unit width flow and the actual unit width flow of the strip unit. According to the method, the full-section flow can be reversely deduced through a small amount of observation, so that the ice period flow testing process is simplified.

The invention discloses a power transmission line icing analysis method and system influenced by microtopography and micrometeorology, and relates to the technical field of power transmission line risk prediction.The method comprises the steps that original meteorological data of an area where a power transmission line is located is collected and fused, and micrometeorological field variables are generated based on topographic parameters extracted by a DEM; on the basis of the fusion data and the micrometeorological field variables, three-dimensional micrometeorological field data are obtained through a fluid mechanics model, the three-dimensional micrometeorological field data are corrected through terrain parameters obtained through a DEM model, an exponential weighted moving average method is used for adjustment, and accurate three-dimensional micrometeorological field data are obtained; based on the accurate micrometeorological field data, the icing thickness is obtained by adopting a physical-empirical hybrid icing growth model, the output icing thickness is adjusted in real time through a dynamic correction algorithm, and a final icing simulation result is obtained. The accuracy of power transmission line icing disaster prediction and the flexibility of emergency response are improved.

This invention discloses a method and system for identifying ice thickness using a power line de-icing robot, relating to the field of power transmission line maintenance technology. The method includes: determining whether to adjust the perception mode based on ambient lighting conditions; initiating an active enhanced perception process based on the adjustment requirement to acquire image data containing feature differences of the target object; acquiring the three-dimensional geometric information of the target object; determining the geometric contour of the target object by combining the three-dimensional geometric information with the image data; calculating the thickness information of the target object based on the geometric contour; and obtaining the distribution of the target object by combining the position information of the power line de-icing robot. This application can obtain the continuous distribution and morphology of the overall ice on the power line, rather than single-point local information, thereby ensuring the accuracy and reliability of the final thickness calculation and improving the accuracy and timeliness of de-icing operations.

The invention relates to the field of sea ice thickness measurement, in particular to a sea ice thickness measuring device based on an icebreaker, which comprises a mounting part, an outward extending part is arranged in the mounting part, a micro moving part is arranged in the outward extending part, a lifting part is arranged in the micro moving part, a measuring part is arranged in the lifting part, and the measuring part is provided with a snow cleaning chassis. The bottom of the probe rod is fixedly connected with six scrapers which are circumferentially distributed, the scrapers are used for rapidly cleaning a snow accumulation layer and floating ice impurities in a to-be-measured area, the surface of the ice layer is completely exposed, when the probe rod makes contact with the ice layer, a signal is immediately fed back to an external control assembly, the downward moving cylinder body is controlled to stop descending, and it is ensured that the ice thickness measurer only conducts thickness measurement from the surface of the ice layer. And the problems that the ice layer and the accumulated snow layer are difficult to effectively distinguish and the accumulated snow thickness is easy to be included into the sea ice thickness measurement result by utilizing an intelligent sensor and a sound wave type measurement technology are effectively avoided.

This invention proposes an icebreaking device, vessel, and method combining jet-resonance technology for ice-trapped vessels, relating to the field of polar icebreaking technology. It addresses the problem of conventionally powered vessels or icebreakers with low ice levels struggling to break through ice in areas with ice thickness greater than 1.2 meters. It includes a hoisting platform, a jet icebreaking module, a resonant icebreaking module, and an attachment stabilization module. The hoisting platform is used for assembly with an external crane. The jet icebreaking module outputs water jets to break the ice. The resonant icebreaking module induces resonance in the ice layer. The attachment stabilization module includes a helical anchor bolt and a power mechanism. The power mechanism drives the helical anchor bolt to rotate relative to the hoisting platform, and the helical anchor bolt drills into the ice surface to fix the hoisting platform. It is primarily used on polar vessels to break through ice and escape when a vessel is trapped.

This utility model discloses a novel ice condition monitoring skateboard, relating to the field of emergency disaster prevention technology. Specifically, it is a novel ice condition monitoring skateboard comprising a skateboard body, a track assembly mounted on the lower front end of the skateboard body, a pivot connecting the track assembly and the skateboard body, and a high-definition infrared camera mounted on the upper front end of the skateboard body. Inside the skateboard body, from front to rear, are a controller, a battery, and an ice and snow radar. Through the track assembly and ice and snow radar, this novel ice condition monitoring skateboard can automatically and quickly detect ice thickness. The coordinated arrangement of the track assembly, high-definition infrared camera, ice and snow radar, temperature sensor, and humidity sensor enables the skateboard to obtain dynamic video of ice surface changes and their relationship with ambient temperature and humidity at close range, providing accurate predictions for the development trend of subsequent ice jams.

The invention discloses an ice vibration response spectrum analysis method and system based on sea ice parameter distribution characteristics, and relates to the field of ice engineering calculation analysis, and the method comprises the steps: constructing an offshore wind turbine motion control equation of a single-degree-of-freedom system under the action of sea ice, and obtaining the power spectrum density of a dynamic ice load; based on compression strength and bending strength of sea ice, a joint probability density function of ice thickness and ice speed is obtained, and an ice area is partitioned; ice force time history samples are obtained, corresponding acceleration response spectrums are deduced and established according to different divided ice areas, and equivalent sea ice force acting on a single-degree-of-freedom system is obtained; and maximum data of all response spectrum curves of different sea ice time history samples in each ice area are taken, and a segmented fitting method is adopted to obtain a design response spectrum of sea ice force. The dynamic ice force time history and the dynamic response of the offshore wind turbine can be quickly and accurately obtained under different sea ice parameters, and technical support is provided for ice-resistant design of an offshore structure.

The invention relates to the technical field of power transmission line galloping icing detection, and particularly provides a power transmission line galloping icing detection method and system, and the method comprises the steps: collecting an image of a power transmission line under the condition that the temperature data and humidity data of an environment where the power transmission line is located reach preset thresholds; determining the icing thickness based on the ice layer reflection intensity feature and the edge thickness feature of the image; under the condition that the icing thickness reaches a preset threshold value, calculating the wire swing amplitude of the power transmission line based on an optical flow method; generating a three-dimensional track thermodynamic diagram based on the coordinate data of the power transmission line under the condition that the lead swing amplitude reaches a galloping judgment condition, the galloping judgment condition being determined according to the lead diameter of the power transmission line; and determining a detection result of power transmission line galloping icing based on the icing thickness and the three-dimensional track thermodynamic diagram. The problem of insufficient detection accuracy of a power transmission line detection system in the prior art is solved.

The invention relates to a power transmission line icing thickness dynamic prediction method based on a time sequence, and the method comprises the steps: collecting time sequence data, carrying out the preprocessing, and dividing the preprocessed data into a training set and a test set; inputting the training set into an LSTM neural network model for training; and inputting meteorological data and power transmission line data collected in real time into the trained model to obtain a prediction result, comparing the prediction result with a preset safety threshold, and when the predicted icing thickness exceeds the safety threshold, triggering an early warning mechanism. According to the invention, the relation between the meteorological change and the icing thickness is captured in a data driving mode, efficient dynamic prediction is realized, and a scientific basis is provided for anti-icing and deicing work of a power transmission line; the LSTM neural network model can efficiently capture time sequence dependence of data and provide accurate ice layer accumulation prediction, and an early warning mechanism can help a power operator to take anti-icing and deicing measures as soon as possible, so that damage to the power transmission line caused by freezing disasters is effectively reduced.

The application discloses a kind of ice thickness measurement method and device based on visual perception of ice storage coil, and the method comprises: setting annular or fan ring-shaped calibration disc on ice storage coil.The calibration disc is provided with multiple different color stripe regions arranged concentrically and along radial direction.Judge whether each stripe region is completely covered by ice layer according to the brightness change of calibration disc covered by ice layer in image, and each stripe region is divided into completely covered interval, partially covered interval and uncovered interval.For partially covered interval, the ice layer covering ratio of partially covered interval is obtained, and thus the ice layer thickness is obtained.The application provides the accuracy of ice thickness detection by stage ice thickness analysis, specifically, the ice layer completely covered by ice layer is determined by using the segmentation and brightness of different color stripe regions, and then for the partially covered stripe region, the comprehensive edge strength of integrated gradient edge strength and phase consistency edge strength is used for coverage ratio calculation.

The invention discloses a power transmission line icing thickness prediction method based on multi-modal sequence decomposition and BiLSTM network optimization. The method comprises the following steps: obtaining the icing thickness and meteorological data of a power transmission line; carrying out correlation analysis on the meteorological data, and screening out the meteorological data with strong correlation with the icing thickness as prediction model input data; decomposing the icing thickness sequence into a plurality of modal subsequences by using VMD; using an SBOA optimization algorithm to optimize the BiLSTM network parameters; constructing a BiLSTM model for each modal sub-sequence by using the optimal network parameters, and performing component prediction on each modal sub-sequence in combination with key meteorological data; and carrying out superposition reconstruction on the prediction result of each modal component to obtain an icing thickness prediction result. The prediction method can effectively solve the problem of low prediction precision of the icing thickness caused by strong nonlinearity, large volatility and the like of icing data.

The invention discloses a quantitative prediction method for an icing load of a power transmission line, and the method comprises the following steps: collecting and fusing multi-source meteorological data: employing a dual-polarization radar to invert the particle size distribution of liquid drops through differential reflectivity, calculating the content of supercooled water through a differential phase, and obtaining an atmosphere liquid water path and a vertical temperature profile; according to the measured wind speed, wind direction and wind shear index, an environment parameter field is constructed, and icing early warning is triggered; conducting wire state parameter real-time sensing: monitoring conducting wire three-axis amplitude and galloping frequency, obtaining conducting wire surface temperature gradient, quantifying damping effect of conducting wire galloping on collision efficiency and providing boundary conditions for a thermodynamic equation; mixed phase state dynamic discrimination: constructing a phase state discrimination matrix based on a combination rule of a temperature interval and droplet particle size distribution; dynamic collision efficiency correction: calculating the dynamic collision efficiency by adopting an unsteady state collision formula; thermodynamics-fluid mechanics coupling calculation is carried out; and ice coating load accumulation and output: calculating the ice coating thickness, mass and mechanical load.

The invention discloses an image-recognition-assisted high-altitude power line deicing method and system, and belongs to the field of image recognized.The image-recognition-assisted high-altitude power line deicing method comprises the following steps that image and video data of a power line are continuously collected and analyzed, ice coating on the power line is recognized, and the image and video data of the power line are obtained; marking an ice coating area and estimating the thickness of an ice layer; according to a marking result, in combination with weather forecast and power line data, the development trend and the potential risk of icing are evaluated, and if the potential risk is higher than a first threshold value, the method has the beneficial effects that an icing area can be automatically identified and the risk level of the icing area can be evaluated, so that a deicing path plan is generated; it is ensured that the high-risk first processing line is handled preferentially, so that the efficiency and safety of deicing operation are remarkably improved, and terrible accidents caused by icing are effectively prevented; meanwhile, the method creatively has the capability of identifying and treating special hidden dangers such as bird droppings icing compounds.

The invention relates to the technical field of hydrological forecasting, and discloses a Yellow River Ningmong river reach ice forecasting method based on river hydrothermodynamics, which comprises the following steps: monitoring the flow of a river reach in a research area in real time, constructing a water flow evolution model, and carrying out dynamic evolution of the ice flow of the river reach to provide flow input; constructing a water temperature calculation model to obtain the water temperature of the river reach, and when the water temperature of the river reach is reduced to zero DEG C, obtaining a runoff date; constructing a flow ice density calculation model to obtain the river reach flow ice density for judging the river reach river sealing state and the river sealing date of the research area; when the river reach of the research area is in a river sealing state, constructing an ice thickness calculation model to obtain the ice thickness of the river reach; according to the ice thickness of the river reach, a river opening forecasting model is constructed, and river opening judgment indexes are constructed by introducing river condition factors and used for judging the river opening state and the river opening date of the river reach in the research area; according to the method, the river section ice evolution process can be dynamically simulated and forecasted, and the forecasting precision is also improved.

The invention discloses a method and system for determining the ice layer thickness of a fan blade and a storage medium, and belongs to the technical field of wind power generation. The determination method comprises the steps that under the condition that the fan blade is coated with ice, multiple ice layer measurement parameters collected by multiple ice measurement electrode sets on the fan blade within a preset time period, ultrasonic echo signals collected by an ultrasonic transducer and the ice coating surface water film state of the fan blade are obtained, the ice-coated surface water film state comprises a discontinuous water film state and a continuous water film state; under the condition that the ice coating surface water film state is a discontinuous water film state, the actual ice coating thickness of the fan blade is determined based on a preset monotonic chain algorithm according to the multiple ice layer measurement parameters; and under the condition that the ice coating surface water film state is a continuous water film state, the actual ice coating thickness of the fan blade is determined according to the ultrasonic echo signals. According to the invention, the measurement accuracy of the icing thickness can be improved.

The application discloses a kind of blade icing detection method and system based on multi-sensor information fusion, which realizes the dynamic gimbal tracking and locking of specific blade area by fusing blade real-time pose information, ensures the continuous accurate alignment of measurement sensor, on this basis, high-precision ranging is carried out on the target area using ultrasonic time-of-flight technology, and compared with baseline data, thereby directly inverting ice thickness.That is, the indirect inference of feature coupling is changed into direct quantitative measurement of thickness, and the measurement result is not affected by wind speed, turbulence and other aerodynamic interference, so as to fundamentally solve the false alarm problem, realize accurate and reliable monitoring of blade icing.

The invention relates to the technical field of power transmission line icing thickness inversion. The invention relates to a power transmission line icing thickness inversion method based on a satellite and a corner reflector. The method comprises the following steps: S1, acquiring satellite remote sensing data, and acquiring tower state data and line state data by combining the satellite remote sensing data with a corner reflector; s2, historical pole and tower state data and line state data are extracted to establish a standard ice-free state; according to the method, through deep fusion and precise processing of multi-source data, the precision and reliability of inversion of the icing thickness are greatly improved, on one hand, through temperature calibration of a standard ice-free state, interference of thermal expansion and cold contraction on wire deformation monitoring is eliminated, and pure input parameters are provided for a mechanical state equation; on the other hand, the vector synthesis decomposition technology and the load layering stripping technology are adopted, accurate separation of the wind load specific load, the self-weight load specific load and the icing specific load is achieved, and inversion errors caused by load interference in the traditional technology are avoided.

This invention provides a mobile platform for ice-crossing flow, thickness, and depth measurement, belonging to the field of hydrological measurement technology. An angle controller is installed on the trolley, and the ice thickness and depth measurement transducers and the flow velocity measurement transducers are respectively mounted on a lifting device, the bottom of which is equipped with a heating device. The lifting device containing the ice thickness and depth measurement transducers is directly mounted on the trolley, while the lifting device containing the flow velocity measurement transducers is mounted on the angle controller. This invention supports continuous multi-point rapid measurement, is suitable for large-scale ice surface water surveying and data acquisition, and effectively improves operational efficiency.

The application discloses a kind of ice thickness monitoring method based on power transmission line multifunctional sensor, it is related to power transmission line technical field.The method steps include: the power transmission line wire of no icing state is shot, the obtained image is converted into three-dimensional point cloud and is carried out cylinder fitting, obtains no icing wire diameter;Ice-covered wire is shot and is converted into ice-covered wire point cloud, gets wire fusion point cloud by adaptive weighted fusion method, calculates ice equivalent diameter by poisson surface reconstruction method, obtains first ice thickness in combination with no icing wire diameter;The height sequence of ice-covered wire is obtained to calculate actual sag variation, and the theoretical sag variation is obtained in combination with the first ice thickness and the no icing wire diameter;Difference index is calculated by comparing the two, the first ice thickness is corrected by the index, and finally the second ice thickness is obtained.

The invention discloses a multi-parameter sensor fused wire safety early warning method and early warning system and a storage medium, and the method comprises the steps: setting a multi-parameter sensor and a camera in a data sensing layer, and collecting wire data through the multi-parameter sensor; the data processing and feature extraction layer converts an original coordinate system of the acceleration sensor into a linear physical coordinate system with the real-time gravity direction as the reference, and the icing thickness of the wire is calculated through data of the tension sensor, the tilt angle sensor and the meteorological sensor. And then a suspected deicing event and an icing state monitoring event are triggered through an intelligent decision-making layer, a camera is started, and the occurrence rate of invalid alarms is reduced through mutual verification of video data and motion mode data. Triggering an alarm through the early warning execution layer, and storing alarm data; through the mutual cooperation of all parts, the whole-process monitoring of the ice coating of the wire from static accumulation to dynamic falling is realized, the early warning accuracy of the wire is improved, and a closed loop is formed for the early warning process.

The application discloses a kind of river lake reservoir ice thickness data processing method, device and equipment based on radar wave, it is related to ice condition prediction technical field, the method comprises: control unmanned aerial vehicle flies along the ice surface area of river-lake-reservoir to be measured, launches radar wave and receives lake ice radar echo data according to preset interval;Lake ice radar echo data is obtained by vector network analyzer, and interpolation processing and wavelet decomposition processing are carried out, to obtain reference radar wave data;Adaptive processing is carried out to reference radar wave data using dynamic threshold and sliding window, to obtain target radar wave data;Based on the reflection main peak time difference of air-ice interface, ice-water interface in target radar wave data, calculate the ice thickness of each measuring point in combination with preset dielectric constant, and carry out adjacent peak mutation detection and mutation point correction, to obtain target ice thickness data.The application solves the problem that existing radar wave measurement river-lake-reservoir ice thickness is not accurate due to sparse data, multipath interference, false peak and ice thickness mutation.

The application discloses an ice-floe multi-parameter remote sensing inversion and ice thickness detection integrated monitoring system, and relates to the field of ice-floe detection, comprising: a collection module used for collecting remote sensing image data of a preset ice-floe coverage area and original signals required for detection; and a preprocessing module used for carrying out noise reduction, correction and format unification processing on the collected remote sensing image and original detection signals; through the multi-source data collaborative collection and accurate processing, the ice-floe distribution density, equivalent diameter, drift speed and actual thickness in different periods are integrally monitored, the data has strong space-time synchronism during the system operation process, the processing process is dynamically optimized through quality evaluation, and the errors caused by distortion, format adaptation and the like are effectively reduced.

The invention provides a gas-heat deicing method combined with blade icing detection, which comprises the following steps: analyzing time sequence data through an icing trend prediction model, and when an icing probability exceeds a preset threshold value, starting an ice layer thickness sensor array to obtain ice layer thickness data and generate a two-dimensional ice thickness distribution diagram; a directional distribution path of the hot air flow is generated and executed according to the two-dimensional ice thickness distribution diagram, and the flowing of the hot air is matched with the distribution path by adjusting the state of the air flow guide mechanism, so that the problem of non-uniform heat energy distribution caused by a fixed flow channel is solved; the problems that a gas heat deicing technology is low in heat conduction efficiency, poor in deicing effect and out-of-control in temperature under the severe weather condition are solved.

The invention relates to the technical field of wind turbine technology and concerns a measuring system for detecting and measuring the thickness of ice deposits on aerodynamic structures. The object is to provide a measuring system for detecting and measuring the thickness of ice deposits that is simple, wireless, and energy self-sufficient, and enables the detection and measurement of ice thickness on aerodynamic structures.To solve the problem, an electroacoustic measuring system is developed, comprising at least one transmitting and receiving unit for electromagnetic waves and at least one sensor unit arranged on and / or in the aerodynamic structure. The sensor unit includes an antenna and a surface acoustic wave (SAW) element comprising a piezoelectric substrate, a reflector structure consisting of at least one reflector element, and / or at least one interdigital reflector structure consisting of an interdigital reflector element, and an interdigital transducer structure arranged on the piezoelectric substrate. The reflector structure is spaced apart from the surface of the aerodynamic structure. The electroacoustic measuring system can be used, for example, in the rotor blades of wind turbines.

This invention proposes a method for monitoring early icing of aircraft based on ultrasonic pulse echo. The input parameters of this method include echo signals from ice-free structures, echo signals from iced structures, and the surface temperature of the structures. By analyzing and processing these input signals using the proposed method for early icing warning and ice thickness measurement based on ultrasonic pulse echo, early icing warning information and surface ice thickness data can be obtained, providing a basis for the activation and deactivation of the aircraft icing protection system. This invention can reduce the energy consumption of the aircraft icing protection system when removing ice from the aircraft surface, improving energy efficiency while ensuring flight safety, and has promising application prospects.

The invention discloses an integrated detection method and system for icing prevention and ice melting of a power transmission line, and relates to the technical field of safety protection of the power transmission line, and the detection method comprises the steps: collecting multi-dimensional data of the power transmission line, the multi-dimensional data comprising icing thickness, icing density, line tension and environmental parameters; integrating the multi-dimensional data by adopting a weighted average fusion strategy to obtain a fusion feature vector; inputting the fusion feature vector into an optimized random forest algorithm, and outputting an icing grade and an icing type; ice melting is executed in a self-adaptive mode according to the ice coating grade and the ice coating type, and the ice melting power and duration are dynamically adjusted according to ice melting parameters based on a thickness-density-power mapping relation library; in the ice melting process, ice coating thickness changes are monitored in real time, and when the ice coating thickness is reduced to be below a safety threshold value, ice melting is stopped. According to the invention, full-process automation from icing monitoring to ice melting execution can be realized, and the method is suitable for icing-preventing and ice-melting operation of the high-voltage / ultrahigh-voltage power transmission line under complex meteorological conditions.

The invention provides a strategy for predicting icing thickness through a digital-analog double-drive model, belongs to the field of power systems, and aims to overcome the defect of insufficient research on prediction of icing thickness of a power transmission line in the prior art. The method comprises the following steps: reading operation data of a power transmission line and meteorological data of an icing area, and preprocessing the data; establishing a digital-analog dual-drive prediction model which takes the Makkonen model as a physical model and takes the CNN-LSTM neural network as a data drive model; and performing a comparative experiment on the digital-analog dual-drive prediction model, the pure CNN-LSTM neural network and the pure Makkonen model under the same data set and evaluation index to verify the prediction precision of the digital-analog dual-drive prediction model. According to the method, the Makkonen model and the CNN-LSTM neural network are organically fused, and collaborative optimization of mechanism constraint and data driving is realized. The accuracy and robustness of icing thickness prediction are improved, the physical interpretability and engineering practicability of the model are enhanced, and efficient and credible technical support is provided for accurate early warning and active defense of power grid icing disasters.