18 results about "Power line noise" patented technology

The invention relates to the technical field of carrier communication, and particularly discloses a power line carrier channel simulation method and system based on a dynamic multi-dimensional interference model.The power line carrier channel simulation method based on the dynamic multi-dimensional interference model.The power line carrier channel simulation method based on the dynamic multi-dimensional interference model comprises the steps that a power line noise sample is collected, and characteristic parameters of periodic interference, transient noise and background noise are extracted; classifying and marking according to noise types and corresponding power grid working conditions, and establishing a noise database containing a mapping relation between noise characteristics and working conditions; and based on the noise database, respectively establishing a periodic interference model, a transient noise model and a background noise model, and forming a multi-dimensional noise interference model. According to the power line carrier channel simulation method based on the dynamic multi-dimensional interference model, through multi-dimensional noise modeling and dynamic environment adaptation, the precision, the real-time performance and the scene coverage capability of power line carrier communication simulation are remarkably improved, and the simulation bottleneck in a complex power grid environment in the prior art is solved.

Systems, devices, and methods are provided for pulsed strain gauge topologies. A weight sensor assembly may comprise one or more load cells for receiving excitation pulses during a first state period of a duty cycle, sample and hold (S / H) circuitry connected to the one or more load cells that holds analog measurement signals from the one or more load cells, first filtering circuitry connected to the S / H circuitry for processing the analog measurement signals and producing a DC level signal, an amplification system connected to the filtering circuitry, for amplifying the DC level signal, second filtering circuitry connected to the amplification system for filtering power line noise, and analog-to-digital (ADC) circuitry connected to the second filtering circuitry. Examples of load cells described herein include full-bride load cells (FBLCs) and half-bridge load cells (HBLCs).

The invention discloses a time-frequency fusion power line noise classification modeling method, system and device based on deep learning, and a medium, and belongs to the technical field of power line noise classification modeling, and the method comprises the steps: constructing a data set containing multiple types of typical power line noise signals; performing short-time Fourier transform on the noise signal to obtain a spectrogram, and extracting local texture features in the spectrogram; extracting global time sequence characteristics of the original time domain waveform of the noise signal; splicing the local texture features and the global time sequence features to form a fusion feature vector, inputting the fusion feature vector into a full-connection neural network, and outputting a multi-label noise prediction result; and training the full-connection neural network, and updating network parameters by optimizing a binary cross entropy loss function. According to the method, different characteristics and generation mechanisms of each type of noise are considered, through fusion of time domain information and frequency domain information, the characteristics can be extracted more comprehensively, the space relation and mode of the time domain and the frequency domain are effectively captured, and the adaptability and accuracy of the model to a noise classification task are improved.

The invention discloses an electrocardiosignal noise reduction method based on deep convolution and a sequential network, which comprises the following steps of: firstly, obtaining a pure electrocardiosignal through a synthetic function or a public data set, and constructing a pure-noisy electrocardiosignal pair by adding myoelectricity noise, power frequency noise, baseline drift or a combination of the myoelectricity noise, the power frequency noise and the baseline drift; designing a time sequence network structure comprising an input layer, a multi-level residual layer, a channel pruning layer, a full connection layer and an output layer, extracting time sequence features in the residual layer by using causal convolution, improving the performance of the model in combination with normalization, an activation function and a residual connection and discarding mechanism, training the model in a supervised learning mode, and obtaining a time sequence network structure; a mean square error or a mean absolute error is adopted as a loss function, network parameters are optimized through back propagation, and finally, the trained model is deployed on electrocardiogram monitoring equipment, so that real-time noise reduction processing on actual electrocardiogram signals is realized. According to the method, the time sequence characteristics of the electrocardiosignals can be effectively reserved, the noise reduction precision and robustness are improved, and the method is suitable for various medical and health monitoring scenes.

The present invention relates to the field of carrier communication technologies, and specifically discloses a power line carrier channel simulation method and system based on a dynamic multi-dimensional interference model. The power line carrier channel simulation method based on the dynamic multi-dimensional interference model includes: collecting power line noise samples, extracting characteristic parameters of periodic interference, transient noise, and background noise, classifying and labeling them according to the noise type and the corresponding power grid operating conditions, and establishing a noise database containing the mapping relationship between noise characteristics and operating conditions; based on the noise database, respectively establishing a periodic interference model, a transient noise model, and a background noise model to form a multi-dimensional noise interference model. The power line carrier channel simulation method based on the dynamic multi-dimensional interference model in the embodiments of the present invention significantly improves the accuracy, real-time performance, and scenario coverage ability of power line carrier communication simulation through multi-dimensional noise modeling and dynamic environment adaptation, and solves the simulation bottleneck of the prior art in a complex power grid environment.

An apparatus includes two or more medical systems and a low impedance path. The two or more medical systems have respective electrical outputs and respective separate isolation grounds each isolated from power lines and from earth ground, wherein the two or more medical systems are electrically coupled one with the other via the patient. The low impedance path connects the separate isolation grounds of the medical systems to one another, causing one or more leakage currents to flow via the low impedance path instead of via the patient.

A power line interference (PLI) suppression method includes receiving an input analog signal superimposed with PLI, and digitally estimating one or more harmonics of the PLI in real-time. Responsively to the one or more digitally estimated harmonics, one or more analog harmonic waveforms are outputted, that match the respective one or more harmonics of the PLI. The input analog signal and the one or more analog harmonic waveforms are received, and the superimposed PLI in the input analog signal is suppressed using the one or more analog harmonic waveforms. An analog output signal is outputted, that corresponds to the input analog signal having the suppressed PLI.

The invention provides a power line noise monitoring device based on an FPGA (Field Programmable Gate Array). The power line noise monitoring device comprises a zero-crossing acquisition circuit, a signal conditioning circuit, a filter switching circuit, a programmable gain amplification circuit, an analog-to-digital conversion circuit, a digital-to-analog conversion circuit, a signal amplification circuit and an MCU (Microprogrammed Control Unit), the zero-crossing acquisition circuit, the signal conditioning circuit and the signal amplification circuit are responsible for being coupled with a power line and are used for acquiring a power frequency zero-crossing signal of the power line, performing PLC signal high-pass filtering and transmitting signal amplification respectively. The filtering switching circuit, the PGA circuit, the ADC circuit and the DAC circuit complete digital-analog / analog-digital signal switching of noise data and carry out programmable gain amplification. The acquisition chip MCU is responsible for recording and storing the level information acquired by the ADC and outputting the acquired noise information for subsequent analysis and processing; meanwhile, processed noise information can be received, and the noise playing function is completed by calling the DAC circuit and the signal amplification circuit. Noise feature analysis support is provided for a power grid, and the performance of a power line carrier communication technology is improved.

The invention relates to a generative power line noise time domain modeling method fusing seasonal trends. The generator converts a random variable into an initial sequence with a low time resolution, and introduces a learnable position code to carry out time sequence learning; decomposing the time sequence characteristics through a season trend module, and dividing the time sequence characteristics into long-term change components and short-term fluctuation for modeling; and then with residual convolution as a core, a multi-stage up-sampling structure is adopted to gradually recover time resolution, and stable fusion of features and structural lightweight are realized. A discriminator adopts a multi-layer one-dimensional convolution structure, and comprehensive judgment on the authenticity of the whole sequence is obtained through small convolution kernel output features and global averaging. Meanwhile, in the training process, gradient penalty and frequency domain consistency limitation are introduced, a discriminator is restrained to meet the smooth continuity condition, and the model robustness is improved. According to the scheme, the problems that an existing model network is huge in structure, high in parameter quantity and difficult to deploy in embedded equipment can be solved.

The invention discloses a Markov impulse noise modeling method, system and device and a medium, and belongs to the technical field of power line channel noise modeling, and the method comprises the steps: obtaining power line noise data, and carrying out the preprocessing of the power line noise data, and obtaining impulse noise data; clustering processing is carried out on the impulse noise data, and initial parameters of a Gaussian mixture model are determined; according to the initial parameters, parameters of the Gaussian mixture model are updated through an iterative algorithm, and the Gaussian mixture model is obtained; mapping the impulse noise data to a state space based on the Gaussian mixture model to obtain a state sequence, and obtaining a Markov chain model according to the state sequence; and determining an impulse noise sequence according to the Gaussian mixture model and the Markov chain model, and realizing impulse noise modeling of power line communication. According to the method, the problem of unstable signal transmission quality of the power line communication system in operation is solved by establishing the pulse noise model of the power line communication.

A power line interference (PLI) suppression method includes receiving an input analog signal superimposed with PLI, and digitally estimating one or more harmonics of the PLI in real-time. Responsively to the one or more digitally estimated harmonics, one or more analog harmonic waveforms are outputted, that match the respective one or more harmonics of the PLI. The input analog signal and the one or more analog harmonic waveforms are received, and the superimposed PLI in the input analog signal is suppressed using the one or more analog harmonic waveforms. An analog output signal is outputted, that corresponds to the input analog signal having the suppressed PLI.

The invention discloses a broadband carrier communication exception handling method, system and device and a storage medium, and relates to the technical field of power electronics, and the method comprises the steps: obtaining initial data of a target station area in a broadband carrier communication network through at least one pre-configured reading controller; constructing target data based on the initial data, and determining power line noise according to a spectrogram corresponding to the target data; comparing the power line noise with a pre-constructed topological relation graph, and obtaining a noise interference source according to a comparison result; obtaining an interference type corresponding to the noise interference source, and determining a target processing scheme according to the interference type; according to the target processing scheme, processing the noise interference source through the reading controller; according to the method, multi-aspect monitoring of broadband carrier communication can be realized, noise interference sources and types can be quickly positioned and processed, the meter reading exception processing efficiency is improved, and the cost is reduced.

The invention provides a low-cost power line carrier communication module based on dual-mode adaptive modulation. High-precision power consumption estimation is realized through state prediction, Kalman gain calculation, state updating and dynamic noise correction. The power line noise interference variable is collected in real time in combination with the zero-cross detection circuit, the system noise covariance matrix is dynamically optimized, and the anti-interference capacity is remarkably improved; meanwhile, an abnormal electricity utilization detection mechanism is introduced, and when the deviation between an estimated value and an observed value exceeds a threshold value, alarm or remote electricity limiting operation is triggered. The system supports power line carrier and wireless radio frequency dual-mode communication redundancy transmission, executes a Kalman filtering algorithm and a Q-Learning optimization strategy, is suitable for scenes such as an intelligent electric meter and an industrial internet of things, has high reliability, real-time performance and adaptability, and can effectively reduce the peak load of a power grid and improve the power consumption economy of a user.

The application discloses a carrier noise identification method and system containing a high proportion of power electronic operation, acquires power line carrier test noise data, extracts features of the power line carrier test noise data by using a self-organizing mapping neural network, obtains multidimensional feature data, calculates multidimensional noise feature approximation residuals by using the multidimensional feature data, determines the number of active neurons of the self-organizing mapping neural network according to the multidimensional noise feature approximation residuals, clusters and matches the multidimensional feature data and a multidimensional noise feature library according to the number of active neurons, and obtains a noise identification result, wherein the multidimensional noise feature library is constructed by extracting features of power line carrier test noise sample data by using a super-natural spiral evolution method, and the method improves the power line noise identification speed by dynamically improving parameters in the self-organizing mapping neural network by using multidimensional noise feature approximation residual result calculation.

The invention discloses a time-frequency magnitude sending device suitable for low-voltage power line carrier communication, which avoids an HPLC (High Performance Liquid Chromatography) communication channel and selects a low frequency band for communication, the frequency band range is 200kHz-700kHz, the noise and channel attenuation of a power line at the frequency band are relatively small, and the time-frequency magnitude sending device has the characteristic of long signal transmission distance. The time-frequency magnitude signal sent by the device can cover time-consuming equipment of the whole transformer area, and a set of efficient and universal solution is provided for establishing a time-frequency magnitude transmission system for the state grid.

The application discloses a network communication dynamic optimization method based on multi-module cooperation, relates to the technical field of network communication, and deploys a dual-mode communication module at each network node.The network communication dynamic optimization method comprises the following steps: each network node broadcasts its own existence information and power line channel characteristics through an HPLC channel of the dual-mode communication module; each network node scans a surrounding wireless network through an HRF channel of the dual-mode communication module, and reports its own wireless channel quality information to a gateway; and a global state perception module collects all information, and constructs a global network view comprising a physical topology and a channel quality atlas.The dual-mode cooperation mechanism, the machine learning prediction model and the dynamic decision strategy of the application can adapt to complex dynamic environments such as power line noise fluctuation and wireless interference change, and can autonomously optimize communication parameters without manual intervention; meanwhile, the modular design facilitates extension to a multi-mode communication scene, and has a wide application prospect.

The present invention relates to the technical field of power line data communication, and in particular to a power line noise analysis method based on carrier frequency spectrum analysis. The method includes calculating a noise distribution complexity tendency value around the power line based on the complexity of the power line distribution and the type and quantity of load devices connected to the power line; determining the acquisition method of the power line carrier signal based on the complexity type of the noise distribution around the power line; determining the noise source location based on the abnormal fluctuation of the energy spectral density of the carrier signal at key nodes of the power line within the observation period after preprocessing; determining the noise type based on the noise intensity at the noise source location and the consistency degree between the time when the noise appears and the time of the dynamic change of the load; determining whether to adjust the process parameters of the power line noise suppression based on the power line communication quality evaluation value. The present invention improves the noise suppression effect by improving the accuracy of noise type judgment.

The application discloses a portable full-shielding mobile phone safety box, and belongs to the technical field of electronic product safety protection and wireless electromagnetic regulation and control. The product adopts a three-layer composite sealing shell, a closed metal shielding layer in the three-layer composite sealing shell constitutes a Faraday cage shielding cavity, and is matched with a theftproof locking mechanism and a line electromagnetic isolation type charging assembly. The box body is closed and can block radio frequency signals in and out of the box body in full frequency bands. Night use can completely eliminate privacy leakage, remote wake-up, positioning tracking and health hazards caused by mobile phone signal interaction, can resist NFC theft and external equipment monitoring and detection, and is suitable for secret and special emergency environment stealth protection. The charging circuit is integrated with at least two levels of electromagnetic isolation structures, completely blocks power line noise and radio frequency coupling interference brought by an external power line, realizes pure direct current safe charging in a full-shielding closed environment, and starts the built-in active gain antenna after the box body is opened, amplifies mobile phone communication signals, and improves weak network use experience. The overall structure is simple and easy to mass produce and popularize.