229 results about "Electrical measurements" patented technology

The invention relates to the field of power distribution networks, in particular to a power distribution network voltage collaborative autonomous method and system based on dynamic partition. The method comprises the following steps: acquiring electrical measurement data and network topology parameters of distributed nodes of a power distribution network, and generating a characteristic state set representing the operation state of a system; performing dynamic subarea division based on node voltage coupling strength and power balance constraint to obtain a dynamic subarea set with an autonomous boundary; each partition control main body independently solves a voltage regulation objective function of the partition according to an autonomous boundary, and generates a partition autonomous control strategy; and boundary interactive iterative coordination is carried out between adjacent partitions, and a global optimal voltage cooperative control instruction is generated and executed. According to the method, the problems that partition division is not matched with the operation state, and partition collaboration is insufficient are solved, unification of partition autonomy and global optimization is achieved, and the real-time performance and accuracy of voltage regulation and control of the power distribution network are remarkably improved.

The invention provides a mountain power station current collection system state online monitoring method and device, and relates to the field of data processing. According to the method, distributed optical fiber data, environmental meteorological data and electrical measurement data are acquired to construct a multi-mode time sequence matrix, an operation state diagram is formed through graph structure representation and graph signal processing, a working condition mode cluster is obtained by combining dynamic clustering, a constraint diagram optimization framework is input, thermal, electrical and mechanical constraints are introduced, and an operation state track is generated. And constructing and fusing a non-stationary degradation path library and environment exposure history to form a dynamic degradation evolution model, and finally outputting in-service reliability and predicting residual life by a risk inference engine to realize online monitoring of the state of the current collection system of the mountain power station. By implementing the technical scheme provided by the invention, the accuracy of online monitoring of the state of the current collection system of the mountain power station is improved.

The invention relates to the technical field of electrical measurement, and discloses a high-voltage switch cabinet contact wear on-line diagnosis method, which comprises the following steps: extracting multi-dimensional time-frequency domain characteristics of a high-voltage switch cabinet contact based on vibration and current signals of time sequence alignment to obtain contact motion characteristics; wear state matching is carried out on the features to obtain the wear degree of the contact, and then a preliminary wear diagnosis result is generated through wear label association; performing multi-factor coupling analysis in combination with historical operation times and environment temperature and humidity, evaluating a wear accumulation effect and an oxidation influence degree, and further generating a target wear diagnosis result; and finally, performing communication protocol packaging on the result to form a wear diagnosis data message, and outputting a maintenance suggestion instruction through instruction mapping. The reliability of contact diagnosis of the high-voltage switch cabinet can be improved.

The invention discloses an electrical safety test data analysis method and system for an electrical cabinet, and relates to the technical field of electrical measurement and test. The method is used for solving the problems of single test dimension, poor anti-interference capability and inaccurate fault positioning in the safety test of the electrical cabinet. Firstly, multi-channel electrical parameter synchronous acquisition is triggered based on a working condition event, real discharge and interference signals are distinguished through time-frequency analysis, and a time sequence incidence matrix of discharge pulses and load currents is established; then, analyzing phase distribution characteristics of partial discharge, calculating a correlation coefficient between a discharge repetition rate and a load current, and dynamically adjusting a weight to generate an insulation state comprehensive test index; further, insulation degradation characteristics are extracted through signal decomposition, and an insulation degradation trend and a fault probability are predicted in combination with energy entropy analysis and discharge mode recognition; and finally, the position of a fault component is analyzed and positioned based on the impedance network, and a maintenance priority sequence is generated according to the fault probability and the degradation rate.

The invention is suitable for the technical field of electrical measurement and state monitoring, and provides an aluminum electrolysis cell power distribution system regionalization independent blanking control method based on pseudo resistance monitoring, and the method comprises the steps: collecting the anode current and the cell voltage of each measurement point; dividing the plurality of measurement points into a plurality of control areas, and calculating a pseudo resistance value of each control area; screening control areas meeting conditions from all the control areas to form a reference area set; determining an aluminum oxide concentration reference state of each control region in the reference region set through a preset concentration state mapping relation; with the reference region set as a starting point, according to the proximity relation between the control region with the undetermined state and the reference region set in space and the similarity of pseudo resistance values, the aluminum oxide concentration state is propagated to all the control regions through iterative matching; according to the aluminum oxide concentration states of all the control areas, independent discharging control instructions of all the control areas are generated; and the regionalized independent control on the concentration of aluminum oxide in the aluminum electrolysis cell is realized.

The invention relates to the technical field of optical current transformer detection, and provides an optical current transformer real-time calibration and health diagnosis method and system, and the method comprises the steps: carrying out the harmonic analysis of an initial digital signal sequence obtained through the conversion of a continuous modulation optical signal of a target optical current transformer, and obtaining harmonic component data; physical state evaluation is carried out according to the higher harmonic component data and preset health state baseline data to generate a physical state evaluation result, nonlinear disturbance compensation is carried out according to an error control signal generated based on the higher harmonic component data, and after a linear working point is reached, nonlinear disturbance compensation is carried out; and calculating an electrical measurement value according to the output target fundamental component data, and performing comprehensive analysis according to the physical state evaluation result and the electrical measurement value to generate a diagnosis report. According to the invention, through a measurement calibration and state diagnosis mechanism based on harmonic analysis, while the electrical performance measurement precision is effectively improved, reliable quantitative diagnosis and accurate traceability of different physical faults in the equipment are realized.

The invention discloses an electric power system fault protection system and method based on multi-modal data fusion, and relates to the technical field of electric power systems.The method comprises the steps that an electric power equipment fault analysis model is constructed, and historical electric power fault data is collected to train the electric power equipment fault analysis model; inputting the electrical measurement abnormal condition, the equipment state abnormal condition and the environment meteorological abnormal condition into the power equipment fault analysis model to judge abnormal equipment, positioning a fault point of the abnormal equipment, analyzing the abnormal condition of a module corresponding to the fault point based on the electrical measurement data of the fault point of the abnormal equipment, and determining the abnormal condition of the module. Meanwhile, the influence degree of equipment outage caused by the fault of the fault point is evaluated, the equipment fault severity degree is analyzed based on the abnormal condition of the module corresponding to the fault point and the influence degree of equipment outage caused by the fault of the fault point, and an equipment first-aid repair sequence is generated based on the equipment fault severity degree; the accuracy of power failure degree judgment and the emergency response capability of a power system are improved.

A cell module for an electrical energy storage device of a motor vehicle includes at least one cell structure made up of energy storage cells, a metallic cell module frame, enclosing the at least one cell structure, for clamping the energy storage cells, and a measuring device for detecting a deformation of the cell module frame related to cell expansion. The measuring device includes a passive resistive extension sensor having a deformation-dependent electrical resistance and a measuring unit connected to the extension sensor to output an electrical measurement signal characterizing the deformation-dependent electrical resistance of the extension sensor. The extension sensor is formed by the metallic cell module frame, with which the measuring unit is electrically contacted.

The embodiment of the invention provides a photovoltaic power station fault rapid positioning method and system, and belongs to the technical field of electrical measurement and fault detection. The method comprises the following steps: acquiring electrical parameter data of each group string of a photovoltaic power station, performing normalization processing in combination with an environmental condition, generating baseline data, and screening suspicious group strings based on the baseline data; applying a preset power perturbation signal to the suspicious string and collecting corresponding voltage and current responses to form dynamic response data; determining impedance spectrum features based on the dynamic response data, extracting dynamic response fingerprints, and constructing feature vectors for representing the electrical state of the string; and comparing the feature vector with a health template, executing phase coupling analysis, generating a fault judgment result, and outputting corresponding string positioning information. According to the scheme of the invention, accurate identification and rapid positioning of the cascade fault of the photovoltaic power station group are realized, and high-robustness and high-confidence diagnosis effects can still be maintained under complex working conditions.

The invention relates to the field of electrical measurement and electronic test equipment, and discloses a charger test method and system. The method comprises the following steps: acquiring a parameter configuration set and a baseline condition, and generating a probe and interface configuration structure under a four-wire system measurement site, protocol abstraction card mapping and shunting and Hall channel combination condition; performing unified time reference binding and event labeling table initialization, locking a time base by a real-time clock of the microcontroller unit, broadcasting the time base to a channel and a controller, executing temperature rise constrained load arrangement and synchronous acquisition, and generating an acquisition preparation packet; and electrical transient and thermal feature extraction and electrical decoupling fusion are executed, and consistency judgment, threshold comparison and report generation are completed. According to the invention, by establishing a unified time base architecture of electricity and heat dual-domain synchronization, multi-channel consistent acquisition and real-time self-diagnosis are realized, the precision, traceability and automation level of a charger test process are improved, and the method is suitable for comprehensive test and evaluation of various types of electronic equipment.

The invention provides a measurement completion method, device and equipment serving panoramic transparency of a power distribution network, and the method comprises the steps: constructing a power distribution network graph model integrating a power grid topological structure, electrical parameters and measurement configuration information, carrying out bad data identification and cleaning on the original measurement data uploaded by the acquisition terminal to obtain a real-time measurement data set; for lines, buses, distribution transformers and circuit breakers in a power distribution network, missing electrical measurement values are obtained through classification certainty deduction calculation by using electrical network topology constraints, conservation laws and forward-back substitution load flow calculation so as to realize measurement completion; and performing quality evaluation on the complemented measurement data, and performing closed-loop feedback optimization based on an evaluation result. According to the scheme, high-precision complementation of the missing electrical quantity can be realized by depending on the measurement data acquired in real time, and the data storage and computing resource overhead is reduced.

The invention discloses a partial discharge harmonic online early warning method for a cable branch box, and particularly relates to the technical field of electrical measurement and power equipment state monitoring. And a unified time base is difficult to obtain through multi-point monitoring, harmonic distortion is easy to be misjudged as discharge, and stable positioning is difficult in a topological constraint. Harmonic scene fingerprints are constructed under a unified time base, version locking is carried out, power frequency phases are re-calibrated according to the fingerprints, gating compensation is set in a non-whole frequency band domain, and joint matching is carried out by combining arrival time difference with energy attenuation under the constraint of a topological equivalent transmission matrix. And dual-threshold interlocking trigger early warning is carried out by combining the separation degree with topological consistency, so that partial discharge pulses can still be stably displayed under the change of a harmonic working condition, false alarm and caliber drift caused by harmonic waves are inhibited, reviewable positioning and executable graded early warning of branch and joint levels are realized, and the reliability of the system is improved. And the stability, comparability and implementability of field judgment are improved.

The invention discloses a wind turbine generator blade lightning protection intelligent detection system and method based on an unmanned aerial vehicle. The system comprises an unmanned aerial vehicle platform, a force and position hybrid control assembly, an electrical measurement unit and a ground data processing unit. The unmanned aerial vehicle carries the detection mechanism to fly to the position of the blade lightning arrester, stable contact is achieved through force sensing feedback, a constant current source applies a test current, the on resistance is measured, and data is returned in real time. And the ground unit filters, compensates and judges the multi-point measurement result to generate a conduction state report. The system can automatically complete lightning protection channel detection under an unattended condition, has the advantages of high detection precision, strong environmental adaptability, good safety, high efficiency and the like, and is suitable for rapid inspection and state evaluation of onshore and offshore wind turbine generators.

The invention relates to the field of grounding technology and electrical measurement, and discloses a grounding electrode current diffusion characteristic and environment correlation analysis method, which comprises the following steps: acquiring a ground electricity state vector representing soil electrochemical characteristics; constructing and calibrating a state phase space evolution model for describing time-space evolution of the vector; an adaptive dynamic analysis closed loop is executed, a state vector at the next moment and uncertainty are predicted through the model, an adaptive sensing protocol is generated based on the uncertainty to guide new data collection, a prediction result is corrected through new data, and a corrected state vector is obtained; and finally, based on the continuous corrected state vector, analyzing the causal association between the environment and the state, reconstructing three-dimensional complex conductivity distribution, and determining current diffusion characteristics such as grounding impedance through numerical calculation. According to the method, the limitation of static evaluation in the prior art is solved, and the dynamic prediction of the performance of the grounding system and the physical tracing of the abnormal cause are realized.

The invention relates to the technical field of electrical measurement, in particular to a current measurement method and device, computer equipment, a storage medium and a product. The method comprises the following steps: carrying out output current measurement on to-be-measured equipment based on at least one range channel to obtain an initial current value corresponding to each range channel at the current moment; fusing the initial current values to obtain a comprehensive current value at the current moment; and performing current correction on each initial current value according to the comprehensive current value to obtain a target current output by the to-be-tested device. The method can realize long-term high-precision measurement while ensuring real-time performance, reduces manual calibration cost, has a wide application prospect, and is suitable for various scenes such as power distribution networks, factory power monitoring, energy efficiency analysis and protection systems and the like.

The invention discloses a loop resistance measuring method, system and device, and relates to the technical field of electrical measurement. The method comprises the following steps of: performing loop data acquisition at each interface of the disconnecting switch adopting a three-channel wiring mode, injecting excitation current by an excitation source, and acquiring three-channel voltage original signals and initial sampling flow by a differential isolation amplifier to obtain the initial sampling flow; time sequence identification is carried out on the initial sampling flow to complete sample starting and ending point identification, inter-channel time alignment is completed, and a synchronous voltage sample set is output. According to the invention, by constructing a complete data chain covering high-precision synchronous sampling, adaptive signal processing, phase compensation calculation and intelligent statistical diagnosis, the problems of low measurement precision and insufficient anomaly identification capability caused by poor synchronism, phase error and lack of deep analysis in a traditional method are solved; the accuracy and anti-interference performance of loop resistance measurement and the intelligent level of state diagnosis are improved.

The invention discloses a smart power grid fault detection method and device based on a dynamic graph neural network. Firstly, multi-source electrical measurement data are collected in real time, and preprocessing and spatial-temporal feature extraction are performed on the data; then, constructing a dynamic graph structure taking the power grid equipment as nodes and the electrical connection relation as edges, and establishing a dynamic graph neural network model; and fusing the spatial topological features and the time sequence features of the power grid data in a feature fusion layer of the dynamic graph neural network model to obtain feature representation containing spatio-temporal information. And outputting a node-level fault probability prediction result based on the fusion features, and carrying out online incremental learning updating on dynamic graph neural network model parameters according to real-time data streams. According to the method, the natural advantages of the dynamic graph neural network are utilized, and the inherent spatial dependency relationship of the power distribution network and the dynamic time rule of the measurement data are effectively modeled, so that the fault detection accuracy is remarkably improved, and the false alarm rate and the missing report rate are reduced.

Provided is a testing apparatus including: a light emission control unit which causes a plurality of light emitting elements to be tested to emit light; a light measurement unit which receives the light emitted from the plurality of light emitting elements and measures wavelengths of the received light; and a determination unit which determines whether there is an abnormality in at least one light emitting element on the basis of intensity distributions of the wavelengths of the light, which is emitted from the plurality of light emitting elements, measured by the light measurement unit. The testing apparatus may further include: a light source; an optical system which irradiates the plurality of light emitting elements with light emitted from the light source; and an electrical measurement unit which measures a photoelectric signal obtained by each of the plurality of light emitting elements photoelectrically converting the light radiated by the optical system.

The invention discloses a lightning arrester leakage current measurement method and system based on harmonic decomposition, and relates to the technical field of electric quantity measurement, and the method comprises the steps: collecting a lightning arrester leakage current signal, carrying out the preprocessing of the signal, and obtaining a standardized time domain signal; executing harmonic decomposition, extracting amplitude and phase of each order, and generating harmonic characteristics and energy distribution; a harmonic topological sequence is constructed, nodes are based on order correlation, and edges are based on amplitude and phase changes; generating a double-order curvature matrix, extracting a curvature baseline, and calculating a capacitance path deformation degree parameter; constructing theoretical energy distribution, and comparing the theoretical energy distribution with actual energy to obtain a topology-energy dislocation quantity; and inverting the resistive leakage current based on the dislocation quantity, and outputting a measured value and a deformation degree parameter. According to the invention, through constructing the harmonic topological sequence and fusing curvature analysis and an energy inversion mechanism, accurate extraction of the resistive component in the leakage current of the lightning arrester and structured identification of the capacitance path state in a complex harmonic environment are realized.

To provide a system including novel nanopores having different structures and recognition sites that improve sequencing accuracy and / or provide different error profiles.SOLUTION: Provided are systems relating to the field of nanopores and their use in various applications, e.g., analysis of biopolymers and macromolecules, typically by making electrical measurements during translocation through the nanopore, comprising a funnel-shaped proteinaceous nanopore comprising alpha-helical pore-forming toxins that are members from the actinoporin family of proteins, more particularly Fraga Ceatoxin C (FraC), a variant FraC, a FraC paralog or a FraC homolog.SELECTED DRAWING: None

Disclosed are a method and apparatus for setting a semiconductor parameter. The method for setting a semiconductor parameter according to an embodiment of the present disclosure is a method performed on a computing apparatus including one or more processors and a memory storing one or more programs executed by the one or more processors, the method including acquiring electrical measurement parameters corresponding to preset semiconductor manufacturing parameters, classifying the electrical measurement parameters into a plurality of groups according to a degree of correlation, extracting a correlation axis reflecting a correlation between electrical measurement parameters belonging to a corresponding group for each classified group, and predicting a figure of merit of a semiconductor device by using data values of electrical measurement parameters belonging to the corresponding group as input based on the correlation axis of each group.

The present disclosure provides a chip failure analysis method and device, which can solve the technical problem that related technologies cannot perform failure analysis on advanced processes. The method comprises: in the case of chip delayering to the contact layer, obtaining electrical measurement results by testing the combination of body diodes of a plurality of metal oxide semiconductor (MOS) tubes and testing the combination of MOS tubes and body diodes; and obtaining a chip failure analysis result according to the electrical measurement results. In the case of chip delayering to the contact layer (i.e. Via 0), the body diode effect of the MOS tube is utilized to directly determine whether Via 0 is abnormal through electrical measurement. The body diode of the MOS tube, the combination of the body diode and the MOS tube are utilized to quickly locate Via 0, and the chip failure analysis result is obtained. At most three pins are required for abnormal electrical testing, and the testing time is shortened by 50%. Furthermore, the carbon deposition on the surface of the sample is reduced, and the introduction of analysis noise is reduced.

The invention relates to a measuring transducer arrangement (1) with an annular carrier element (7), which is made of an electrically conductive material, and a voltage sensor (3), which comprises a conductor film (15) arranged on the carrier element (7) and having a first layer (23) and a second layer (24). The first layer (23) has at least one strip-like measuring electrode (27), which is connected to an electrical measurement potential. The second layer (24) has at least one strip-like earth electrode (28), which is connected to an electrical earth potential. The carrier element (7) is connected either to the measurement potential or to the earth potential.

The present application belongs to the field of material testing, and particularly relates to a viscoelastic material bulk modulus measuring device and method based on an electric measuring method, wherein the measuring device comprises a pressure tank and a viscoelastic material testing support; the viscoelastic material testing support comprises a fixing frame and a plurality of sets of deformation testing clamps; the deformation testing clamp comprises a fixed elastic sheet, a testing elastic sheet and a clamp block, the fixed elastic sheet is provided with a hollow slot in the middle, the testing elastic sheet is arranged through the hollow slot, and the fixed elastic sheet and the testing elastic sheet are perpendicular to each other, a strain gauge is pasted on the testing elastic sheet, adjacent one end of the fixed elastic sheet and the testing elastic sheet is fixedly arranged on the fixing frame, and adjacent the other end is fixedly arranged on the clamp block, and the clamp block is provided with an abutting rod perpendicular to the arrangement direction of the testing elastic sheet. The present application realizes direct and high signal-to-noise ratio measurement of the bulk strain of the viscoelastic material under a hydrostatic pressure environment by precisely isolating non-measurement direction interference through the double elastic sheet structure of the fixed elastic sheet and the testing elastic sheet of the deformation testing clamp.

The embodiment of the invention discloses a capacitance and inductance tester and a capacitance and inductance positioning detection method and device. A specific embodiment of the method comprises the steps of performing multi-dimensional data acquisition on a target circuit board; performing registration fusion processing on the three-dimensional point cloud data of the circuit board to obtain processed point cloud data of the circuit board; performing element point cloud clustering on the processed circuit board point cloud data to generate an element point cloud data group set; performing element nominal parameter extraction processing on the two-dimensional image data of the circuit board to generate an element nominal parameter set; performing entity electrical parameter measurement on the elements in the target circuit board to obtain an element electrical parameter set; performing simulation modeling on the element point cloud data group set to obtain a circuit board three-dimensional model; and generating circuit board element detection information. According to the implementation mode, the spatial positions of the capacitor and the inductor can be accurately determined under the unified three-dimensional coordinate system, so that the associated execution of element positioning and electrical measurement is realized, and the circuit board detection efficiency is further improved.

The invention discloses a novel high-temperature-resistant wireless passive temperature measuring device, and belongs to the technical field of thermal metering testing. According to the device, the temperature measuring device is tightly attached to the surface to be measured through the adsorption auxiliary module made of magnetic attraction or high-temperature glue, the hot end of the passive energy supply module and the temperature measuring sensor make contact with the high-temperature position to be measured at the same time, and electric energy is provided for the ultra-low power consumption temperature measuring and wireless transmitting module after the cold end and the hot end of the passive energy supply module generate the temperature difference. Electrical parameters of the temperature measurement sensor are measured by the electrical measurement module and are transmitted to an external receiving end through the wireless transmitting module, so that a real-time online measurement function is realized. The problems that an active energy supply battery is poor in safety and short in endurance time under the high-temperature condition, and circuits such as a temperature measuring module and a wireless transmitting module are intolerant to high temperature are solved, and a solution thought of a wireless passive principle is provided for a special temperature measuring scene.

The invention discloses a processing quality detection system adaptive to wire harness processing, and relates to the technical field of electrical measurement and detection, and the system comprises an environmental stray electromagnetic self-powered module, an electrical detection module, a quantum magnetic electrical evaluation module, a crimping quality evaluation module and a data causal tracing module. According to the invention, through a collaborative architecture of the environmental stray electromagnetic self-powered module, the electrical detection module, the quantum magnetic electrical evaluation module, the crimping quality evaluation module and the data causal tracing module, an integrated closed-loop detection system of self-powered support, two-dimensional detection, quality evaluation and root cause tracing is constructed; synchronous accurate detection of the electrical performance and the crimping electrical contact quality of the wire harness and dynamic positioning of the root cause of the defect are achieved, and therefore the technical problems that in an existing wire harness detection technology, electrical performance detection and crimping quality detection are separated from each other, the applicability is limited due to dependence on external power supply, only the defect can be recognized, and the root cause cannot be traced can be solved.

The application discloses an EMC interference source rapid positioning method, system and equipment, and relates to the electrical measurement technical field.The method comprises the following steps: based on the electromagnetic interference signal conduction path and the radiation path of the measured equipment, a monitoring sensor network is laid out; the monitoring sensor network is connected, and interference signal data of the measured equipment is collected in real time; the collected interference signal data is subjected to frequency spectrum analysis and interference type determination; the data collection mark bit is used as a positioning engine, adaptive interference tracking analysis is carried out according to the determined interference type, and interference source positioning results are obtained.The application solves the technical problems that the existing electromagnetic interference source positioning method cannot position the interference source in real time when the equipment is normally operated, and the positioning efficiency is low and the accuracy is poor, and achieves the technical effect that adaptive tracking analysis is carried out through real-time collection of interference signal data, and efficient and accurate interference source positioning is realized under the normal operation state of the equipment.

An implantable biomedical sensor (1) is disclosed which is characterized by a novel electrofluidic design based on dedicated measurement chambers (2, 3) enclosed by respective membranes (4, 5) which are permeable to water molecules and optionally typical ions found in human interstitial fluid (ISF). By this concept, the sensor (1) can perform electrical measurements in the respective chambers (2, 3), collecting data that allows conclusions to be drawn about the amount of water and ions present in the ISF around the sensor (1). In other words, such a sensor (1) enables electrical monitoring of the electrolyte state and / or hydration state in the tissue of a patient wearing the implantable sensor (1).

A method to determine a location of a fault in a power network includes monitoring electrical measurements, receiving an indication of a presence of the fault; determining a first sequence mutual coupling parameter based on the electrical measurements, wherein the first sequence mutual coupling parameter indicates a mutual coupling of a positive sequence to a negative sequence of the power network, determining a second sequence mutual coupling parameter based on the electrical measurements, wherein the second sequence mutual coupling parameter indicates a mutual coupling of a zero sequence to the negative sequence of the power network, determining the location of the fault based on the indication of the presence of the fault, the first sequence mutual coupling parameter, and the second sequence mutual coupling parameter, and sending one or more commands to one or more devices to adjust one or more operations based on the location of the fault.