6 results about "Corona" patented technology

The invention discloses a line surrounding environment monitoring and management method based on hidden danger discharge, relates to the technical field of hidden danger discharge identification, and solves the problem that the staged development characteristics of tree barrier discharge cannot be identified and dynamic risk management and control cannot be implemented according to the staged development characteristics in the prior art. According to the invention, the fingerprint characteristics (peak value, frequency spectrum, fractal dimension and the like) of the discharge current are captured through the broadband sensor, and the three stages of corona, spark and flashover are accurately identified by using the AI model, so that the early warning period is prolonged; a dynamic risk index R (x, y) is constructed in combination with a strike distance theory, three elements of tree height, distance and discharge intensity are fused in real time, seasonal weights are automatically adjusted, and the risk misjudgment rate is reduced; finally, a closed-loop management process of'monitoring and early warning, work order distribution, pruning verification and efficiency iteration 'is formed, and the fundamental transformation from'blind person groping type' passive first-aid repair to'cloud and day shifting type 'accurate prevention is realized.

The application provides a UHV line corona loss prediction method based on a Res-BP neural network, and comprises the following steps: in step S1, a random forest algorithm RF is used to calculate and sort the importance of weather conditions by taking MSE as Gini impurity, and weather conditions with high importance are selected to construct a feature set dataset; in step S2, the differences between weather conditions in different dates are utilized, and a BIRCH algorithm is used for classification; on this basis, a Res-BP neural network model is established to predict the UHV transmission line corona loss, and a PSO optimization algorithm is used to optimize and adjust the internal parameters of the model; and the application has good accuracy and stability.

The application relates to the technical field of image feature extraction, in particular to a composite insulator multispectral feature extraction method and device considering corona characteristics, which comprises the following steps: collecting a multispectral image of a composite insulator and performing registration and fusion to obtain a composite image; extracting an insulator image in the composite image; for any connected domain in the insulator image, according to the brightness difference, texture features and time sequence change features influenced by sunlight irradiation of the same connected domain in the HSV space of visible light, infrared and ultraviolet images, analyzing whether the connected domain is changed by corona and whether it is influenced by sunlight irradiation, further analyzing the key feature region of the composite insulator, and extracting the key feature region in the insulator image which is greatly influenced by the corona phenomenon. The application aims to effectively exclude the interference of environmental factors such as sunlight irradiation, so as to improve the accuracy and reliability of corona detection.

The invention discloses a system for obtaining the annual statistical value of the corona effect of a high-altitude AC power transmission line through quarterly observation, and the system comprises an audible noise measurement device which comprises at least one outdoor microphone disposed at a preset position, and an analyzer; the radio interference measuring device comprises an antenna and a receiver which are arranged at preset positions of the power transmission line; the meteorological equipment is used for measuring and distinguishing weather and rainy days; the computer is in communication connection with the audible noise measuring device, the radio interference measuring device and the meteorological equipment, and is used for synchronously controlling the start and stop of the equipment and collecting and storing data; wherein the audible noise measurement device, the radio interference measurement device and the meteorological equipment form an all-weather synchronous measurement system which is configured to acquire data through synchronous observation of three consecutive months in autumn, and the data are classified and counted by the computer according to weather conditions; and obtaining a rainy day audible noise L50 value capable of representing a year-round statistical result, and a radio interference average value in rainy days and good weather.

The invention discloses an improvement method for altitude correction of corona loss of a high-voltage alternating-current transmission line, and the method comprises the steps: obtaining corona loss data, and obtaining the corona loss data of the high-voltage alternating-current transmission line at different altitudes and corresponding weather conditions; based on the relationship between the corona loss and the corona loss, data mapping from the corona loss to the corona loss is realized; the method comprises the following steps: performing error analysis on a corona loss correction factor recommended by Bonneville Power Administration based on experimental data mapping of corona loss, and proposing a correction suggestion: the corona loss correction factor K is 4.5 dB / km under a dry condition and 1.5 dB / km under a raining condition; and a theoretical basis is provided for power transmission line wire selection, parameter optimization, tower line arrangement and phase sequence arrangement optimization. According to the research, the accuracy of corona loss evaluation of alternating-current transmission lines in different altitudes of regions is improved, the economic efficiency of power transmission and the safe operation of a system are improved, and potential risks caused by corona loss are reduced.

The application discloses a substation flame detector performance detection method based on ultraviolet identification, relates to the technical field of flame detector performance detection, and comprises the following steps: acquiring a non-fire ultraviolet response sequence and a power frequency voltage zero-crossing time sequence of a flame detector, converting a sampling time into a power frequency phase sequence, and constructing a corona ultraviolet phase-locked template; calculating a corona background response coefficient, a corona response component and a non-fire residual component according to the non-fire ultraviolet response sequence and the corona ultraviolet phase-locked template; after a flame ultraviolet test excitation is applied to a target detection area, collecting a fire test response, and deducting a corona background under a corresponding power frequency phase, a flame residual response is obtained; further calculating a corona false response index, a flame residual recognition index and a response time distortion amount, and generating a comprehensive performance detection evaluation value. The application can distinguish a high-voltage fitting corona ultraviolet background from a real flame ultraviolet response, and improves the authenticity of a substation flame detector performance detection result.