System and method of evaluating state of power frequency communication channel
A channel state assessment and channel state technology, which is applied in transmission systems, character and pattern recognition, transmission monitoring, etc., can solve the problems of less research on power frequency communication channel state assessment methods, high noise in the channel environment, and constant stability. Achieve the effect of ensuring the quality of power line power frequency communication, improving the state of power frequency communication channels, and improving accuracy and intelligence
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Embodiment 1
[0027] A method for evaluating the state of a power frequency communication channel includes: firstly, by collecting various parameters that affect the state of the power frequency communication channel, such as power line length, power line branch number, branch length, load impedance characteristics, power line type, and power line noise intensity, a large number of power frequency communication channel parameters are established. It is a parameter data storage and sharing platform for the state of the frequency communication channel, providing data support for the application of pattern recognition algorithms based on neural networks and deep learning to evaluate the state of the power frequency communication channel. The system evaluation method specifically uses the integrated learning model AdaBoost with adaptive characteristics to evaluate various power frequency communication channel state evaluation methods (such as expert diagnosis evaluation models based on multivaria...
Embodiment 2
[0030] A method for evaluating the state of a power frequency communication channel includes: first, based on the parameter database of the state of the power frequency communication channel, analyzing data sets such as power line length, number of power line branches, branch length, load impedance characteristics, power line type, and power line noise intensity. The expert evaluation model of variable decision tree uses the rough set theory to divide the data set collected by the power line, selects the most favorable variable set, and constructs a multivariate decision tree; then, studies the error prediction model based on the recurrent neural network (RNN), extracts the power line Features and channel state influencing factors, establish the mapping relationship between the influencing factors and the channel state, and predict the power frequency communication channel state according to the mapping; finally, on the basis of the expert analysis and evaluation results and the...
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