307 results about "Ice thickness" patented technology

The invention discloses a method for measuring an icing thickness of an insulator of a power transmission line based on video difference analysis. The method comprises the following steps of: shooting an on-site image by virtue of a video monitoring device; automatically acquiring boundaries before and after icing of the power transmission line by using an image processing technology comprising camera calibration, image graying, image enhancement, image partitioning and the like, and then quantificationally calculating the icing thickness of the insulator; and when the icing thickness of the insulator of the power transmission line exceeds a planned safety range, automatically alarming to indicate relevant departments to take deicing measures immediately. In the method, the icing thickness of the insulator is obtained by directly using an icing image of the insulator, so the theory is simple, the operation is convenient, the accuracy and the reliability are higher, various defects in the conventional method are overcome, and a new measure is supplied to safe detection for the power transmission line; furthermore, a large quantity of human resources and a large amount of cost can be saved; the utilization rate of an online monitoring system is increased; and the method has extremely important real significance for safe running of a power system.

The invention discloses a measurement method for lead / groundwire icing thickness of a transmission line based on video variation analysis. The method comprises the following steps: shooting an on-site image through a video monitoring device, automatically obtaining the boundaries of the transmission line before and after icing by using image processing technologies including camera calibration, image graying, image enhancement, image segmentation and the like, and further quantificationally calculating the lead / ground wire icing thickness; and when the lead / ground wire icing thickness exceedsa specified safety range, automatically alarming to remind related departments to take deicing measures timely. Since a lead / ground wire icing image is directly used to solve the lead / ground wire icing thickness, the method disclosed by the invention has the advantages of simple principle, higher accuracy and higher reliability, is convenient for operation, and can make up disadvantages of the traditional method,. Therefore a new means is provided for safety detection of transmission lines, a great amount of manpower resource cost can be reduced, the use efficiency of the on-line monitoring system is improved, and the measurement method has great practical significance for ensuring the safe operation of an electric power system.

The invention discloses a power transmission line icing detecting and early-warning device. Filtering and edge detection are performed on image information transmitted through a network and acquired by a camera, coordinates of boundary contour points in an image are recorded through binarization processing and boundary tracking, finally, coordinates of boundary points before and behind a power transmission line are compared comprehensively, and the icing thickness of the power transmission line at the moment is obtained through calibration by the aid of the diameter of the power transmission line; data analysis is performed according to micro-meteorological parameters acquired by a data acquisition module, under the assistance of a lead tension change trend diagram and an icing thickness change trend diagram in a set time period, in combination with stored historical icing thicknesses, icing conditions and icing thicknesses in the next three to five days are predicted according to meteorological parameter conditions under which icing is formed easily, the line designed icing thickness and the actually measured icing thickness, and early-warning signals are sent out. With the adoption of the device, online detection is performed on icing of the power transmission line, meanwhile, dynamic early-warning can be realized, and analysis and early-warning can be performed on icing information timely.

The invention discloses an icing prediction and early-warning method of power transmission lines. The method comprises that image information and meteorological parameter information, collected by an unmanned plane, of the power transmission lines are obtained; whether icing occurs in the power transmission lines is determined according to the image information collected by the unmanned plane of the power transmission lines and image information of normal power transmission lines; if icing occurs, the icing thickness is calculated and displayed; according to the image information and meteorological parameter information, collected by an unmanned plane, of the power transmission lines, future icing growth condition of the power transmission lines is predicted, so that ice melting is carried out according to the icing growth condition; whether the meteorological parameter information reaches an early-warning value is determined; and if the meteorological parameter information reaches the early-warning value, the meteorological parameter information is transmitted to an expert system, and the expert system improves the data collection frequency of the unmanned plane. Management staff can know practical onsite conditions of the lines timely through the method, ice melting measures are taken on the basis of foundations, and technical support is provided for decision making in icing disaster rescue.

The invention discloses an integrated detection radar system and a method for an ice thickness and a water depth, which relate to the field of detection radars. The system comprises a detection radar and a terminal host provided with an ice thickness and water depth integrated detection radar application program, wherein the detection radar comprises a radar master control board and a pulse signal transceiver. The method comprises steps: parameters in need of detection and acquisition are set, and the parameters are transmitted to the radar master control board; different radar waves in two frequencies are transmitted to an ice layer and underwater in a target test area, and echo signals are received; equivalent data sampling is carried out, complete cycle signals converted to differential signals are transmitted to the terminal host, analysis processing, filtering processing and gain processing are carried out sequentially, and radar echo signal data after processing are obtained; and the ice thickness and the water depth are displayed. Fast, nondestructive and continuous detection is realized, profiles of the ice layer and the water depth structure are displayed in a real-time imaging mode, real-time voice broadcasting is provided at the same time, the detection result is clear, and the analysis and the interpretation are intuitive and convenient.

The invention discloses an icing thickness detection method for a power transmission line icing image based on deep learning, belongs to the field of digital image recognition, and aims at solving problems that the sensitivity and reliability of conventional tension monitoring are not high and improving the icing thickness monitoring accuracy and automation degree of a power transmission line. The method is used for the icing thickness monitoring and over-range warning for a system power transmission line, and comprises the steps: (1), collecting an icing image; (2), carrying out the preprocessing of an image, and building a data set; (3), building a convolution neural network; (4), carrying out the training and testing of a model; (5), extracting the icing thickness information, and transmitting the icing thickness information to a control center. The method introduces a digital image feature recognition method to the icing thickness detection of a power transmission and a tower, automatically extracts the thickness information through employing the icing shape features in the image, formulates a deicing plan for an operation and maintenance worker, and provides a new visual and intelligent solution for the safe and stable operation of a power system.

The invention provides a method and a system for detecting icing thickness of an electric transmission line. The system comprises a camera and a remote detection device. The camera is mounted on the electric transmission line, and the remote detection device is connected with the camera through the Internet. The camera is used for shooting the electric transmission line to generate an electric transmission line image, and then sending the electric transmission line image to the remote detection device through the Internet. The remote detection device is used for comparing the electric transmission line image with a preset initial image to acquire the icing thickness corresponding to the transmission line image. The initial image is an image of the electric transmission line without icing. Since the camera is mounted on the electric transmission line to directly measure the thicknesses of a guide line and an iced guide line, a relative position of the camera and the electric transmission line is effectively fixed and accuracy of image measurement is improved.

An ice thickness / drifting velocity observation of sea ice by using an ice thickness measurement sonar and a current meter moored into the sea and a sea ice observation by a high-resolution airborne SAR are synchronously performed, a correlation between a draft profile of sea ice passing over the sonar and an SAR backscattering coefficient profile is calculated, and an ice draft of desired sea ice is calculated from the relational expression and an SAR backscattering coefficient. As the SAR backscattering coefficient, a backscattering coefficient of L-band HV polarization may be used. A backscattering coefficient of X-band VV polarization is preferably used as the SAR backscattering coefficient to detect thin ice having a thickness of not more than approximately 10 cm.

The invention relates to a power transmission line icing prediction method based on a quantum particle swarm and a wavelet nerve network. The power transmission line icing prediction method based on the quantum particle swarm and a wavelet nerve network comprises the following steps of acquiring historical icing meteorological data, namely an ambient temperature, a humidity, a wind speed, a wind direction, an air pressure, a lead temperature and an icing thickness; establishing an icing thickness prediction model by means of the wavelet nerve network; performing initial parameter optimization on the model through adding a quantum particle swarm algorithm of interference factors; and inputting the historical icing data for obtaining a predicated power transmission line icing thickness. The power transmission line icing prediction method has advantages of high prediction precision, high convergence speed, etc. The power transmission line icing prediction method can effectively predicate a line icing change rule and can be applied for power transmission line icing disaster early warning and treatment.

The invention discloses a method for analyzing the ice and climate relationship on the basis of the grey MLR (Multiple Linear Regression), which comprises the following steps of: a step 1 of acquiring microclimate data comprising the environment humidity, the environment wind speed and the environment temperature and wire tensile force by a power transmission line online monitoring system and converting the microclimate data into an actual ice thickness value by a theories calculation model according to the wire tensile force; a step 2 of selecting effective data and applying a grey GM (1, 1) model construction to forecast the microclimate data; and a step 3 of establishing an ice thickness model by applying a MLR analysis method according to the selected effective data, forecasting the ice thickness on the basis of the microclimate GM (1,1) model construction and establishing an ice thickness forecasting model of the grey multiple regression analysis. The invention solves the problems that in the prior art, an equation system shows morbidness due to accumulation and subtraction of the data, the parameter estimation shows instability and the like. Detailed information such as the weight variation before and after a monitored power transmission line is iced, the inclination angle of an insulator string, the environment temperature and humidity, the wind speed and the like can be provided; and the ice thickness of the power transmission line is obtained by calculation according to field acquisition information.

The inventive sea ice thickness radar measuring device is a technology for measuring sea coast ice thickness using radar, belonging to the technical filed of marine environment motoring. The measuring device mainly comprises radar, a communication interface, a monitor, a computer, a printer and a data transmission module. In accordance with the characteristic that the electric wave at gas-ice interface and ice-water interface has strong echo wave, the invention uses microwave radar with ultra wide band and narrow pulse width (10-12 / s) as detection mean, acquires sea ice thickness information from the raw data of radar echo wave, and realizes acquisition, storage, display, output and print of ice thickness measurement data from radar. The invention realizes non-contact on-site fixed-point real-time measurement, and can detect sea ice with 3-6 cm thickness. In particular, the invention realizes the measurement of thin sea ice with thickness of 3-10 cm.

The invention belongs to the technical field of power system disaster warning, and particularly relates to a power transmission line icing prediction method based on a relevance vector machine. According to the prediction method, according to features of an icing phenomenon, the input quantity and weight index of an icing prediction model are selected and processed in a targeted mode; a power transmission line icing prediction model is built through a relevance vector machine method; training is conducted on the model through sample data, and the model is optimized by the adoption of a quantum particle swarm optimization and a K-fold cross-validation method; the icing thickness and probability distribution of a power transmission line are predicted according to the test data, and correction is further conducted on the model through repeated training to improve prediction accuracy. The prediction method considers the influences, on power transmission line icing, of various factors comprehensively, can predict the icing thickness of the power transmission line precisely and has very high prediction accuracy and generalization ability.

The invention discloses a judgment method of an icing thickness of an icing area electric transmission line. Based on collecting perennial historical meteorological data of a meteorological station, the judgment method of the icing thickness of the icing area electric transmission line includes summarizing meteorological and terrain feature law, structuring a meteorological model of relation between a surface feature lead wire icing thickness and meteorological elements, combining geographical and topographic feature elements to correct the model, computing icing thicknesses of areas of recurrence intervals of 30 years, 50 years and 100 years, and verifying and revising for the icing thicknesses according to operational experience. An ice distribution image which is mapped by adopting of the method can accurately reflect a distribution law of power grid icing thicknesses, can cover all areas, provides basis for power grid design, operating maintenance and technology improvement, and simultaneously has a guiding function for novel construction of areas without electric power facilities.

The invention discloses a lead ice monitoring method and system based on three-dimensional reconstruction. The lead ice monitoring method comprises the steps: 1, installing two cameras which are different in position and have a certain angle for imaging a lead to be monitored, obtaining a boundary contour of the lead to be monitored; 2, acquiring ice images of the lead to be monitored, shot under the ice condition; 3, processing the ice images of the two cameras, which are obtained from the same section of line from different angles, to ensure that image points of the same point on an ice line in two images show different vision positions, obtaining a geometrical relationship between the two image points according to a camera imaging principle, and further figuring out three-dimensional coordinates of this point; 4, reconstructing a three-dimensional mode of line icing through acquiring the data of the three-dimensional coordinates of a large quantity of characteristic points; and 5, comparing the three-dimensional mode of the line icing with the boundary contour of the lead to be monitored, and figuring out an ice thickness. The invention provides a lead ice monitoring method and system based on three-dimensional reconstruction, which are capable of carrying out remote real-time monitoring on ice.

The invention discloses a method for judging the icing instability of a tension support of a power transmission line. The method comprises the following steps that: S1: establishing a pole and tower finite element mechanical analysis fine numerical simulation model; S2: solving and calculating the force direction and the change amount of an insulator string mount point before and after the pole and tower is iced; S2: carrying out finite element numerical calculation; S4: considering an influence of practical uneven icing of two sides of a tension support structure, and making an pole and towerinstability curve; and S5: according to the tension or icing thickness practicality of the mount point under an icing condition, judging a current power transmission line pole and tower instability situation. By use of the method, the real-time tension of the insulator string mount point, finite element situation calculation is adopted to researching the influence of the icing on the pole and tower instability, calculation efficiency can be effectively improved, a finite element calculation result is more reliable, and power grid maintenance personnel can conveniently and directly evaluate the pole and tower stability on the basis of the monitoring situation of the insulator string tension of two sides of the pole and tower.

The invention discloses a method for utilizing a visibility model to predict an icing thickness of a transmission line. The method is used for solving the problems of the prior art that the manual observation is very dangerous, the working condition of workers is hard, the living is difficultly guaranteed and the investment cost is higher. The method comprises the following steps: 1) collecting lead icing data and weather factor data in a place in which the transmission line is located; respectively settling the lead icing data and the weather factor data collected in the first step along vertical and longitudinal directions; 3) respectively performing corresponding statistics on the data settled in the second step; and 4) substituting the settled data into a fitting formula, thereby acquiring the icing thickness of the transmission line. The method is used for utilizing the visibility model to predict the icing thickness of the transmission line, so as to support ice-resisting (ice-preventing) arrangement and design of an iced transmission line.

An ice thickness measurement system for determining thicknesses of an ice sheet such as an ice rink that is positioned on a solid or granular substrate. The system determines the thickness of the ice sheet using an acoustic technique, is portable, and may include a display graphic or graphical user interface on the portable unit to direct operators of the unit where to conduct an array of measurements on the ice sheet. The system may also be compatible with a computer for downloading of data and uploading of graphical displays.

The invention relates to a method for giving a wire damage alarm when lead wire is coated by ice, which performs calculation and judgment on disconnection, vertical overload of a tower and longitudinal unbalanced tension of the lead wire. The method is implemented by the following work procedures: a, calculating design load and actual load according to tower design, actual vertical span, the design load and ice thickness measurement data; b, at the same time, calculating wire tension and unbalanced tension according to the ice thickness measurement data and wind measurement data; and c, sending early-warning information when any of the design load and the actual load calculation, the wire tension calculation and the unbalanced tension calculation is overloaded. When an icing on-line monitoring device monitors the icing condition of a power supply wire, the method performs calculation and analysis according to the monitored data to judge whether the wire icing condition threatens the safety operation, and send warning signals in time.

The invention relates to a power transmission line icing state assessment method based on information fusion of multiple sensors. The method comprises the following steps: (1), obtaining an environment temperature and environment relative humidity, determining whether an icing condition is reached, and if so, executing step (2); (2), obtaining an environment temperature difference, icing duration and an icing thickness, and according to expert experience, calculating icing membership values of the environment temperature difference, an equivalent icing thickness and the icing duration; (3),performing data fusion on each icing membership value by use of a BP nerve network, and respectively calculating an icing-free probability, an icing probability and a severe icing probability; and (4), according to the icing probability, the severe icing probability and the icing duration, outputting an assessment result. Compared to the prior art, the method provided by the invention has the advantages of accurate assessment and the like.

The invention provides a method for calculating the load of a hanging point of a power transmission line tower during conductor galloping. In the method, the conductor galloping amplitude is determined in a weather coefficient method, and the conductor galloping load is determined through theoretical analysis and finite element simulation based on consideration of different influencing factors. The method comprises the following steps: firstly, using a model with two gears and two strain sections to determine the horizontal galloping tension and the tension difference at the hanging point through theoretical analysis under different wind speeds, ice thicknesses, structural parameters of the conductor, gear spans and phase differences; secondly, using a continuous multi-gear model to determine rules of influence of the hanging way and the gear number on the horizontal galloping tension and the tension difference through finite element analysis, and correcting results of the theoreticalcalculation of the two-gear model; and thirdly, transforming the horizontal galloping tension and the tension difference into the load of the hanging point according to the tower type and the rotation angle. The method integrates the influence of the weather, the structural parameters of the conductor, the hanging way, the gear span, the gear number and the like. Compared with the traditional analytical method which adopts the single-gear model, the method has higher applicability and higher accuracy.

The invention relates to a micrometeorological data based electric power circuit icing thickness prediction method and belongs to the technical field of electric power circuit icing monitoring and management and icing disaster warning. By the method, predicted meteorological data are inputted into an artificial neural network model for operation so that corresponding icing thickness is obtained, wherein the meteorological data include wind speed, wind direction, air temperature, humidity, air pressure and rain capacity. The method is capable of accurately predicting the electric power circuit icing thickness under the micrometeorological condition, and can be applied to icing monitoring and management and icing disaster warning.

The invention discloses a refined covering ice model establishment method for a power transmission line. The method includes the following steps of extracting the hour average temperature, the relative humidity, the rainfall, the wind speed and the temperature and humidity vertical profile data of the pole and tower point of the power transmission line, judging whether the type of the covering ice stage at the current time is a covering ice increase stage or a covering ice falling stage or a covering ice keeping stage according to meteorological elements, and calculating the covering ice weight, the covering ice wire diameter and the standard ice thickness according to different covering ice stages. The method has the advantages that refined and reliable analysis products of multiple key meteorological element products of the power transmission line can be provided; differentiated covering rice thickness estimation products in the area are given; when the method is applied to the manual line patrol arrangement plan of the power transmission line, the plan is intensive, the operation and maintenance cost is reduced, and the line operation and maintenance efficiency is improved; a more reasonable power transmission line covering ice thickness planning scheme is provided, and economic benefits are improved through the combination with the line construction cost.

The invention provides an ice water heat exchange coefficient experimental apparatus which comprises a water tank 1, a water pump 3, a gate valve 4, a thermoregulator 5, a current meter 6, an ice thickness change measuring instrument 7 and a temperature recorder 8, wherein the water pump 3, the gate valve 4 and the thermoregulator 5 are sequentially connected through a pipeline 2 and form a loop; measurement probes of the current meter 6 and the temperature recorder 8 are positioned in the water tank 1; a measurement probe of the ice thickness change measuring instrument 7 is positioned in an ice layer 19 and water in the water tank. The invention also provides a method for measuring an ice water heat exchange coefficient by utilizing the device. The device well simulates reservoir icing and low-flow speed water flow conditions, acquires an ice water heat exchange coefficient of a corresponding reservoir and provides a design basis for water conservancy projects, also avoids the difficulty of developing reservoir ice water heat exchange coefficient prototype measurement in a rushing frigid zone reservoir area and provides great convenience and implementation possibility for research.

The invention discloses an overhead transmission line icing prediction model and method, and the model is constructed through the following steps of 1, obtaining the icing related data from a line online monitoring system, and screening and processing the obtained data; 2, establishing and training a time sequence convolutional neural network model, wherein the model is used for predicting the icing factors; and 3, establishing and training a support vector regression model which is used for establishing mapping between the icing factors and the icing thickness, and the sequential convolutional neural network model and the support vector regression model jointly form an overhead transmission line icing prediction model. The icing prediction can be performed by using the established models.

The invention discloses an insulator icing detection method based on a GLOH descriptor and a GVF-Snake model. The method comprises steps that 1, an input image is pre-processed; 2, a target area of interest is extracted, and the area contains the insulator information; 3, the GLOH descriptor is utilized to position an insulator; 4, the GVF-Snake model is utilized to precisely detect insulator contour; and 5, the insulator contour is analyzed, whether the insulator is in an icing state is determined through calculating the maximum radial distance, and icing thickness is calculated under the icing condition. The method is advantaged in that a problem of difficulty in distinguishing the insulator from the complex background existing in a traditional method can be solved, and insulator icing condition determination accuracy can be effectively improved.

The present invention provides a system for monitoring the ice thickness of overhead transmission lines, wherein the system includes a data acquisition module, a main control module, a communication module, a data processing module and a power supply module. The data acquisition module includes a wind direction sensor, a wind speed sensor, an angle sensor and an insulator and a gravity sensor for collecting, and the communication module, the wind direction sensor, the wind speed sensor, the insulator tilt angle sensor and the gravity sensor are electrically connected to the main control module; The above technical scheme, by collecting various status information of the transmission line, establishes the Makkonen model, and effectively monitors and monitors the ice thickness of the transmission line. Once the ice thickness value exceeds the warning value, an alarm is issued to indicate that the transmission line is covered Ice malfunction.

A method correlates satellite image data with data taken from multiple upward-looking sonars moored on the sea floor. The correlation of this information facilitates the prediction of ice thickness in later seasons using synthetic aperture radiation only, thus allowing for the assessment of threats to oil exploration, production or completion facilities located in the Arctic Ocean.

The invention discloses a method and a device structure for preparing ice and desalinating seawater by vehicles and natural energy resources. The method is characterized in that seawater is poured into a container of the invention, and naturally ices at the temperature below 0 DEG C in winter, and the unfrozen water is discharged when that ice thickness reaches two thirds of the depth of water inthe container is observed from a observation window on the container; the sea ice in the container melts and ices repeatedly the temperature differences between day and night, the salted ice water isdischarged, and ice blocks which can melt into fresh water is left; and then the container and the ice blocks are transported into a place required fresh water, and the ice blocks are lifted up and placed into a container for melting ice by hooking a pull ring of an ice shelf by a hoisting tool after the container and the ice blocks arrive at the destination. The container of the invention not only is a container for preparing ice, but also is a device for melting ice, thus heavy physical labor in the link that ice is collected and transported into a icing pond is omitted in the prior art.

The invention provides a road icing safety early warning device and early warning method. The early warning device comprises a monitoring system and an early warning system. The monitoring system mainly comprises an icing sensor, an instrument shelter, an anemorumbometer and a control box. The early warning system is used for feeding back the road icing situation to the road management department in real time or performing early warning in real time through roadside warning information and mainly comprises a data acquisition system, a wireless module and an early warning terminal. The early warning method comprises the following steps that step one, the ice thickness calibration test is performed, and the corresponding relation between the icing thickness, the icing rate and the ambient temperature is obtained through simulation; step two, the indoor simulation experiment is performed to verify the sensitivity and the reliability of the icing sensor; and step three, the field test is performed so that whether the road icing safety early warning device can reliably perform multi-parameter acquisition can be ensured and safety early warning of the road icing situation can be timely performed. The road icing thickness and the icing rate can be acquired in real time and the road icing situation can be timely fed back to the road management department.

The invention discloses a backstepping method for determining a meteorological parameter MVD based on a wing icing thickness, and relates to the technical field of ice shape prediction and detection of aircraft icing. The meteorological parameter MVD can be detected in real time without changing shapes of wings during flight, and the backstepping method isapplied to aircraft icing airworthiness certification, and icing environment conditions that meet requirements are detected. The backstepping method comprises the steps that icing conditions under different flight conditions are calculatedaccording to the relationship amonga liquid water content LWC, an average effective droplet diameter MVD and an ambient air temperature T,and an icing thickness database of the icing thickness changing with times is established; and flight conditions, the temperature T, and a h-t curve of the icing thickness changing with the timesare provided in real time, time-icing thickness interpolation and a standard deviation are calculated by using aconstant correction positive coefficientinverse distance weighted interpolation algorithm, and the backstepping optimal MVD value is determined by the least square method. The backstepping method for determining the meteorological parameter MVD based on the wing icing thickness is high in accuracy and small in error, the real-time measurement can be achieved, the icingairworthiness certification is provided with an effective and reliable technical support, and the application prospect is promising.