19 results about "High frequency transducer" patented technology

This invention provides a partial discharge detection method based on the insertion depth constraint of an ultra-high frequency (UHF) sensor. The method includes: obtaining the physical parameters of an external UHF sensor; detecting the return loss curve of the external UHF sensor in a laboratory environment using a GTEM chamber; calculating the minimum insertion depth of the external UHF sensor at the joint based on the physical parameters of the transformer equipment; calculating the maximum allowable insertion depth of the external UHF sensor based on the internal structural dimensions and insulation safety requirements of the transformer; determining the effective insertion depth range of the external UHF sensor; and measuring the partial discharge signal of the transformer. This invention utilizes a formula to calculate the reasonable insertion depth range of the external UHF sensor at the transformer tank joint, thereby solving the problems of installation depth dependence on experience and poor detection consistency in existing technologies.

This invention discloses a device and method for extracting ultra-high frequency (UHF) sensor signals, relating to the field of UHF detection technology. It includes: a sensor connection module for connecting to the output terminal of an UHF sensor to extract the sensor's detection signal; a housing containing the detection module, which provides a detection interface for the extracted UHF sensor detection signal; and a transmission wire, one end of which is connected to the sensor connection module, and the other end of which is connected to the housing. This invention facilitates measurement by operators, eliminating the need for climbing or using ladders, thus reducing measurement time and improving efficiency.

The application discloses a partial discharge detection method and device and a nonvolatile storage medium. The method comprises the following steps: based on a plurality of preset sensors, absolute field strength data and electromagnetic wave space-time data inside a cavity of a target device are acquired at a plurality of preset positions inside the cavity of the target device, wherein the plurality of sensors comprise a plurality of Rydberg sensors and a plurality of ultrahigh frequency sensors; the absolute field strength data and the electromagnetic wave space-time data at the same time are integrated to obtain a plurality of joint data frames; and based on the joint data frames, a partial discharge detection result of the target device is determined, wherein the partial discharge detection result comprises a discharge type, a defect position and an insulation state. The application solves the technical problem that the traditional technology is difficult to realize high-precision, multi-parameter and traceable monitoring requirements in a complex electromagnetic environment.

The application discloses a full-band GIS ultrahigh frequency partial discharge pulse non-loss collection system and belongs to the technical field of intelligent sensing of primary equipment. The system comprises a signal collection and conditioning module, a double-channel high-speed ADC module and a high-speed data processing and storage module. The signal collection and conditioning module is used for connecting an ultrahigh frequency sensor signal and performing filtering and amplification preprocessing on the signal. The double-channel high-speed ADC module comprises two independent and synchronous collection channels and is used for synchronously collecting the preprocessed signal in a full band. The high-speed data processing and storage module is used for controlling the alternate collection of the double channels, real-time linear compensation, trigger timing control and real-time signal processing. The intelligent analysis and control module is used for performing real-time analysis and fault diagnosis on the collected data and dynamically adjusting system parameters. The application adopts a double high-speed channel collection single signal and realizes a cooperative working mechanism of mutual backup, effectively avoids pulse loss caused by system processing delay, and improves the accuracy of partial discharge analysis and the intelligent level of equipment state sensing.

This application relates to the field of power equipment condition monitoring and fault diagnosis technology, and particularly to a configuration method and device for a multi-parameter sensing system for high-sensitivity protection. The method constructs a heterogeneous sensing layer based on fault mode-driven architecture, deploying a sensing cluster containing UHF, ultrasonic, and pulse current sensors in the critical fault area of ​​the converter transformer. The UHF sensor acts as a sentinel to generate a collaborative wake-up command. After wake-up, multi-source signals are synchronously acquired, and joint features such as discharge pulse amplitude-phase distribution spectrum and time delay difference are extracted. The sampling rate and gain parameters are dynamically adjusted based on real-time operating conditions, and a convolutional neural network is used to identify the discharge type and confidence level, achieving adaptive threshold updates. This invention achieves highly sensitive, low-false-detection, and low-power intelligent detection of early faults such as partial discharge in converter transformers, significantly improving the accuracy and operational reliability of the multi-parameter sensing system.

The application provides a construction method of a simulation antenna of a very high frequency sensor, which comprises the following steps: establishing a geometric model of a simulation antenna corresponding to an entity very high frequency sensor antenna; constructing an equivalent circuit model of a lumped parameter element of the simulation antenna, the lumped parameter element being connected with the geometric model; obtaining geometric parameters of the geometric model; determining initial parameters of the equivalent circuit model based on input impedance parameters of the entity very high frequency sensor antenna; adopting a simulation partial discharge source to emit a simulation partial discharge pulse current corresponding to an actual partial discharge signal, comparing a simulation signal obtained by the simulation antenna with a measured signal measured by the entity very high frequency sensor antenna, and adjusting the equivalent circuit model according to a comparison result, so that the simulation signal is consistent with the measured signal.

This utility model belongs to the field of high-voltage electrical equipment monitoring technology, and discloses an installation structure for a GIS partial discharge detection device. The device includes a detection host, a UHF sensor, and installation components. The installation components employ an innovative design of ratchet straps and quick-release parts, enabling rapid sensor installation and position adjustment via S-shaped buckles, allowing sensor replacement without removing the straps. Elastic shielding cotton is provided between the quick-release parts and the sensor, ensuring a tight fit between the sensor and the basin-type insulator while effectively shielding against electromagnetic interference. The detection host offers three installation methods: guide rail clips, strong magnet adsorption, and threaded mounting holes, adaptable to different installation environments. This utility model solves the problems of cumbersome operation and poor adaptability of traditional fixing methods, offering advantages such as convenient installation, accurate positioning, and strong anti-interference capabilities, significantly improving the efficiency and reliability of GIS partial discharge detection.

This invention provides a method for evaluating the performance of ultra-high frequency (UHF) sensors based on threshold attenuation coefficient comparison. The method includes: determining the placement positions of a first UHF sensor and a UHF sensor under test; acquiring partial discharge (PD) UHF signals using the UHF sensor under test; performing simulation modeling of a transformer device and detecting the electric field strength using an ideal probe; calculating the attenuation coefficient A1 of the PD UHF signal in the dielectric window based on the physical parameters of the transformer device; calculating the attenuation coefficient A2 of the PD UHF signal propagating in the transformer; and calculating the threshold attenuation coefficient A of the PD UHF signal based on the above attenuation coefficients. 总 The performance status of the UHF sensor under test is determined by comparing the threshold attenuation coefficient with the actual attenuation coefficient. This invention proposes a verification method for UHF sensors embedded in transformers, improving the accuracy and reliability of on-site verification of UHF sensors.

The application provides a vehicle state feature extraction method based on frequency domain decoupling and staggered space-time interaction, which comprises the following steps: obtaining a historical dynamic state sequence of a target vehicle and surrounding traffic participants, introducing an anisotropic weighted distance measurement to screen interactive neighbors with high lateral conflict risk, and completing feature tensor construction and data standardization in a local coordinate system; constructing a feature extraction network comprising a hierarchical multi-scale space-time encoder, performing frequency domain filtering by using a multi-granularity one-dimensional convolution kernel, decoupling high-frequency sensor noise and low-frequency motion trend, and dynamically calibrating features in combination with a channel attention mechanism; constructing a staggered space-time interaction module, performing multiple cycle iterations of independent time sequence state evolution and predictive spatial context aggregation, and extracting a dynamic social game logic between vehicles; and outputting a high-dimensional global space-time interaction feature tensor, which provides reliable data support for accurate perception and safe decision-making of high-level autonomous vehicles in congestion and high-dynamic interaction scenarios.

This application relates to a sensor deployment height determination system, method, apparatus, device, storage medium, and program product. The system includes a pulse generator, an antenna, a target sensor, a transformer, and a controller. The pulse generator, antenna, and target sensor are all mounted on the transformer's oil tank. The pulse generator is connected to the antenna, and all three are connected to the controller. The controller controls the pulse generator to inject a discharge signal into the antenna to simulate partial discharge. The target sensor acquires a discharge monitoring signal and transmits it to the controller. The controller receives the discharge monitoring signal, extracts signal features from it, and determines the deployable height range of the target sensor based on the signal features and preset signal transmission parameters. Using this system improves the adaptability of determining the installation height of UHF sensors under different operating environments.

The application discloses a discharge detection device and method for a general high-low voltage switch cabinet for mines, and belongs to the technical field of switch cabinet detection. The device comprises a modularized sensor assembly, a signal acquisition unit, an edge computing node unit and an upper monitoring platform, and adopts a UHF sensor, an ultrasonic sensor and a transient ground voltage sensor for cooperative detection. The method comprises multi-source signal synchronous acquisition, adaptive denoising based on a sparrow search algorithm optimization, double-domain feature extraction, discharge type identification based on an attention-enhanced convolutional neural network, and multi-sensor information fusion and hierarchical early warning based on evidence theory. The application compensates for the blind area of a single detection method through cooperative work of multiple types of sensors, improves the denoising effect through adaptive parameter optimization, enhances the recognition accuracy through double-domain features and an attention mechanism, and improves the diagnosis reliability through multi-sensor fusion, so that accurate detection and intelligent diagnosis of local discharge of a mine switch cabinet are realized.

This invention provides a method for locating partial discharge in a transformer using multi-group ultra-high frequency (UHF) sensors, comprising: acquiring n partial discharge signals; calculating the time difference between each pair of UHF sensors receiving the UHF partial discharge signals; selecting one of the four UHF sensors as a reference sensor, establishing a set of partial discharge source location equations based on the time difference between the propagation of the UHF signal generated by the partial discharge source to the reference sensor and the other three sensors, and obtaining the partial discharge source location results for the grouped UHF sensors; obtaining a location error weighting factor for the location result obtained under the k-th group; establishing an optimized coordinate search function for the partial discharge source based on the location result of each group and the location error weighting factor of each group, and obtaining the three-dimensional coordinates of the partial discharge source inside the transformer in space. This invention reduces the dependence of the location result on the time delay accuracy and effectively improves the location accuracy of the partial discharge source.

The application provides an external ultrahigh frequency sensor calibration method based on penetration depth optimization, and the method comprises the following steps: obtaining a target parameter of a transformer; determining the installation position of a first ultrahigh frequency sensor through an ideal penetration depth formula; installing a to-be-tested external ultrahigh frequency sensor at the joint of the transformer oil tank; determining a calibration pulse signal injected into the first ultrahigh frequency sensor through a formula; and controlling the to-be-tested external ultrahigh frequency sensor to receive the calibration signal. The application provides an external ultrahigh frequency sensor calibration method suitable for the transformer equipment in a field environment, and improves the accuracy and reliability of field calibration.

The application provides a sensor arrangement method for partial discharge ultrahigh frequency sensing of a transformer. Based on a partial discharge test, the position of an ultrahigh frequency sensor in a test device is determined, and the ultrahigh frequency characteristics of a partial discharge signal in a transformer tank are explored. The method comprises the following steps: 1) a transformer partial discharge test model is built, a sub-nanosecond discharge tube is arranged in the model tank as a partial discharge source, and an actual defect in the transformer is simulated; 2) two ultrahigh frequency sensors, namely an internal ultrahigh frequency sensor and an external ultrahigh frequency sensor, are selected as detection devices at a detection point of the test model, the ultrahigh frequency electromagnetic wave signals of the transformer partial discharge model measured by the sensors are extracted by an ultrahigh frequency antenna using an oscilloscope, and then the signals are subjected to frequency spectrum analysis by a computer, so that the sensing of the partial discharge of the transformer is realized; the application provides a method for detecting the partial discharge fault of the transformer under the ultrahigh frequency, realizes the real-time monitoring and early warning of the partial discharge of the transformer, and is helpful for early discovery and solution of the transformer fault.

This invention provides a method for calibrating a UHF sensor that considers signal attenuation at the tank joint, relating to the field of UHF sensor calibration. The method includes: determining the placement positions of a first UHF sensor and a UHF sensor under test; acquiring partial discharge UHF signals using the UHF sensor under test; calculating the attenuation coefficient of electromagnetic waves at the dielectric window on the transformer's outer wall based on the physical parameters of the dielectric window; calculating the attenuation coefficient of electromagnetic waves propagating in the transformer oil and attenuation coefficient propagating through the tank joint based on the transformer's equipment parameters and the installation position of the first UHF sensor; calculating the threshold attenuation coefficient of electromagnetic waves propagating to the UHF sensor under test; and determining the performance of the UHF sensor under test by comparing the threshold attenuation coefficient with the actual attenuation coefficient. This invention proposes an attenuation coefficient calculation method suitable for calibrating externally mounted UHF sensors in transformers, improving the accuracy and reliability of on-site UHF sensor calibration.

The application relates to a partial discharge monitoring method of a distribution box, and aims to solve the problem that a single sensor monitoring mode is difficult to cope with the multi-physical field coupling effect under complex working conditions, for example, only relying on an ultrahigh frequency sensor can miss the insulation deterioration characteristics caused by mechanical vibration, an edge computing unit is limited by hardware resources and cannot process multi-channel high-frequency sampling data in real time, and feature extraction is delayed. The application solves the problems of insufficient processing of multi-physical field coupling effect, limited edge computing resources, contradiction between data privacy and model generalization in the traditional technology by synchronously collecting and preprocessing multidimensional signals, extracting a low-dimensional causal feature vector by using a lightweight causal analysis model, uploading the feature to the cloud for federated learning collaborative training and updating, and issuing the updated model for real-time diagnosis. The application has the advantages of efficient fusion analysis of multidimensional signals, improved accuracy and real-time performance of partial discharge identification, guaranteed data privacy and enhanced model generalization ability.

The application relates to an antenna layout method, device, system, equipment and medium for reproducing an external electromagnetic field of a transformer dielectric window. The method comprises the following steps: acquiring a width parameter of a dielectric observation window of a transformer to be checked, a sensor working frequency band parameter and equivalent electromagnetic parameters of a dielectric material, determining a total number of antenna units based on the width parameter, the working frequency band parameter and the equivalent electromagnetic parameters, determining a layout radius of an antenna array according to the total number of antenna units and the equivalent electromagnetic parameters, determining an azimuth angle of each antenna unit according to the total number of antenna units and an influence degree of the width parameter on electromagnetic field distribution, and controlling an execution mechanism to layout the antenna array in a plane parallel to the dielectric observation window based on the total number of antenna units, the layout radius and the azimuth angle of each antenna unit, so as to form a reproduced electromagnetic field meeting a preset uniformity requirement in a preset checking area. The above method can improve the accuracy and repeatability of partial discharge ultrahigh frequency sensor checking.