656 results about "Electrical measurements" patented technology

The embodiment of the invention discloses a park load prediction method and device based on multi-modal data and a medium, and relates to the technical field of micro-grids, and the method comprises the steps: collecting multi-modal micro-grid data through a multi-source heterogeneous sensor network disposed at a power distribution node, the multi-mode micro-grid data comprises electrical measurement data, environment monitoring data and equipment state data; constructing a dynamic space-time incidence matrix according to the multi-modal micro-grid data, and performing feature extraction based on the dynamic space-time incidence matrix through a space-time diagram convolutional network deployed at an edge calculation node to determine a space-time feature vector; and inputting the spatio-temporal feature vector into a time sequence fusion prediction model, outputting a load prediction result, and generating an optical storage cooperative scheduling instruction according to the load prediction result, the load prediction result including a load prediction value and a confidence interval.

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 converter station in-station equipment energy consumption analysis model and method. Belongs to the field of converter station equipment energy consumption analysis. According to the method, a three-dimensional data acquisition system covering equipment in the whole station is established, electrical measurement data of the equipment is obtained in real time through a monitoring system, and meanwhile, a converter valve trigger pulse, a cooling water pump rotating speed adjusting signal and a circuit breaker opening and closing state are captured through an equipment digital twin interface. And carrying out real-time feature extraction by means of an edge computing node, and triggering high-speed data recording for a commutation failure event. And correcting abnormal data by combining a sliding window dynamic cleaning mechanism with a wavelet threshold denoising algorithm, and extracting a current harmonic distortion rate, a voltage fluctuation coefficient and equipment vibration spectrum characteristics. And further establishing a multi-dimensional characteristic matrix containing equipment operation conditions, environmental parameters and power grid interaction characteristics, performing energy consumption prediction by using a hybrid model, and generating a dynamic energy efficiency evaluation index which is applied to energy saving strategy optimization.

The invention relates to the technical field of electrical measurement, and discloses an electrical measurement instrument dynamic calibration error compensation method, which comprises the following steps: S1, multi-source data real-time acquisition: integrating a temperature sensor, a humidity sensor and an electromagnetic interference detection module in a measurement instrument, configuring voltage, current, frequency and other measurement channels, and carrying out multi-source data real-time acquisition at the frequency of not less than 100HZ; environmental parameters (temperature T, humidity H and electromagnetic interference intensity E) and measurement data (model characteristic parameters X1, X2,..., Xn such as voltage, current and frequency) are synchronously acquired. According to the electrical measuring instrument dynamic calibration error compensation method, through multi-source data real-time acquisition and composite error model construction, in combination with multiple linear regression and an improved BP neural network, environment and measurement signal changes are comprehensively captured, an error compensation value is accurately calculated, a measurement error can be effectively controlled within an extremely small range, and the error compensation accuracy is improved. Compared with a traditional method, the measurement precision is greatly improved.

The invention relates to the technical field of electrical variable measurement, in particular to a rolling mill speed reducer monitoring and diagnosing system based on multi-source information fusion, which comprises an electrical parameter signal acquisition module for acquiring continuous readings of three-phase voltage and three-phase current of a rolling mill driving motor and synchronizing the readings. According to the method, the three-phase voltage and current data of the rolling mill driving motor are synchronously acquired, and the amplitude and phase are calibrated, so that a more accurate calibration electrical measurement set is obtained, and error propagation in a signal acquisition stage is effectively avoided; using the calibrated electrical data to directly calculate instantaneous input electric power, deducting motor loss to obtain an accurate motor shaft power sequence, and then using a Fourier transform method to extract key harmonic characteristics in a shaft power spectrum; and meanwhile, band-pass filtering and Hilbert transform analysis are carried out on the motor stator current, so that a clearer and more recognizable spectrum kurtosis value is obtained, and the judgment capability of current impact and periodic characteristics is enhanced.

The invention relates to the technical field of power supply electric quantity monitoring, in particular to an elevator emergency power supply electric quantity monitoring method and system. The method comprises the following steps: collecting emergency state starting time data; performing real-time battery electric quantity measurement on the emergency power supply battery according to the emergency state starting time data to obtain emergency power supply electric quantity measurement data; step pulse power supply testing is conducted on the elevator emergency lighting lamp, and multiple sets of pulse response data of the lamp are obtained; performing real-time lamp working state judgment according to the multiple groups of pulse response data of the lamp, and performing monitoring power supply electric quantity periodic updating on the electric quantity measurement data of the emergency power supply to obtain electric quantity monitoring data of the emergency power supply; and gradient brightness regulation and control are conducted according to the emergency power supply electric quantity monitoring data, and an intelligent elevator emergency dimming strategy is obtained. By intelligently monitoring the residual electric quantity of the elevator emergency power supply, dynamic adjustment of the elevator emergency lighting brightness is achieved, and the lighting time is prolonged.

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 belongs to the technical field of electrical measurement, and particularly discloses a hundred-kA impact large-current sensing device based on a multi-composite magnetic core material. The device comprises a multi-composite magnetic core framework, a current winding coil, a parallel resistor and a shielding shell, the multi-composite magnetic core framework is formed by compounding at least two magnetic materials, the multi-turn current winding coil is distributed on the multi-composite magnetic core framework, and the two ends of the parallel resistor are connected with the two ends of the current winding coil respectively; the shielding shell is located on the outer side of the composite magnetic core framework. A current conductor to be measured penetrates through the composite magnetic core framework in the axial direction, and the measurement output end of the current winding coil is connected with an output circuit. The technical problem that an existing impact large-current sensing device cannot meet the technical requirements of high-amplitude and high-accuracy impact large-current measurement is solved.

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 relates to the technical field of electrical measurement and power system monitoring, in particular to a cable insulation fault detection method. The method comprises the following steps: measuring an electric field signal and constructing an electric field distribution model in a cable to obtain a signal mapping result of a cable insulation state; the signal mapping result of the cable insulation state is mapped to a frequency domain, smoothing processing is carried out, multi-scale analysis is carried out on the signal after smoothing processing, fault features of the cable are extracted, the insulation state of the cable is quantified, the probability that the cable has an insulation fault is calculated, and a basis is provided for fault early warning and maintenance. The problems that most of traditional insulation fault detection methods depend on single electrical or spectral characteristic detection, so that detection information is incomplete; the stability is poor, and misjudgment or missed judgment is easily caused; in some methods, power failure or direct contact with a cable is needed for measurement, and continuous operation of the cable is affected. And complex electric field distribution and dynamic change thereof in the cable are difficult to accurately describe, and the fault development trend is difficult to predict.

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.

A portable device for quantitative measurement of tissue autoregulation and neurovascular coupling via portable measurement of blood flow, oxygenation, metabolism, and / or EEG signals and methods for using said device. The device may comprise a body and a plurality of legs pivotably attached to the body. The plurality of legs may comprise at least one reference electrode leg and at least one measurement electrode leg for electrical measurement, and an optical detection fiber leg and at least one optical source fiber leg for optical blood flow, oxygenation, and metabolism measurement. The present invention is additionally directed to a portable device for blood flow measurement and therapeutic photobiomodulation. The device may comprise a body and a plurality of legs. The plurality of legs may comprise at least one optical detection fiber leg and at least one optical source fiber leg, and at least one leg for therapeutic photobiomodulation.

The invention discloses an insulator leakage current non-contact measurement method and system based on magnetic field sensing, and belongs to the technical field of electrician measurement, and the method comprises the steps: collecting original magnetic field data and environmental parameter data; performing interference stripping processing on the original magnetic field data based on the environmental parameter data to generate corrected magnetic field data; performing time-frequency analysis and noise suppression processing on the corrected magnetic field data to obtain leakage current characteristic data; performing inversion calculation by using the leakage current characteristic data to obtain a leakage current value; in combination with historical leakage current data, executing state evaluation processing to generate an insulator state; and according to the insulator state, automatic optimization processing is executed, and magnetic field sensor array gain and interference stripping processing parameters are adjusted. According to the invention, the technical scheme of multi-source sensing data fusion, interference stripping, physical inversion calculation and state evaluation closed-loop feedback optimization is adopted, and high-precision non-contact measurement and intelligent state evaluation of the leakage current of the insulator can be realized.

The invention relates to the technical field of motor testing, and discloses an intelligent diagnosis system and method for a brushless motor of a vehicle water pump, and the method comprises the steps: collecting an actually-measured first vibration mean value, and obtaining an estimated second vibration mean value of a brushless motor to be tested at the r + v rotating speed based on the actually-measured first vibration mean value; acquiring an actually measured second vibration mean value of the brushless motor to be measured at the r + v rotating speed, and judging whether the brushless motor to be measured has abnormal performance according to the estimated second vibration mean value and the actually measured second vibration mean value; the process is repeated until abnormal performance occurs or r is equal to R, circulation is ended, the temperature reference value, the temperature mean value and the electrical measurement value are input into a first machine learning model, and an electrical correction value is obtained; intercepting an abnormal wave band in the actual electrical oscillogram, and inputting the abnormal wave band into a second machine learning model in an image form to obtain a fault type of the brushless motor to be tested; according to the invention, the fault type of the brushless motor can be diagnosed with high accuracy.

The invention relates to the field of electrical measurement and testing, in particular to a fault monitoring method and early warning system for a bottom loading and unloading crane pipe, and the method comprises the steps: obtaining and preprocessing the current, voltage and vibration sequence of a servo motor, and obtaining a corresponding IMF component and an energy spectrum; and in combination with historical normal operation data and to-be-monitored data, the importance degree of the IMF component is evaluated, and the time domain anomaly degree is obtained based on the standard deviation of the sliding window variance and the DTW distance. Odd harmonic information is extracted from the energy spectrum, and the time domain anomaly degree is combined to obtain the comprehensive anomaly degree. And obtaining a fault degree through weighted integration, and inputting the fault degree into a control system to judge a fault. According to the method, the energy spectrum difference of the IMF components, the first-order difference sequence difference and the time-frequency domain abnormal degree are comprehensively analyzed, the operation state of the servo motor is comprehensively evaluated, key fault information loss and single time domain feature monitoring limitation caused by elimination of high noise components in a traditional method are avoided, and the accuracy and sensitivity of fault monitoring are remarkably improved.

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 discloses a power distribution network equivalent modeling and model calling method considering distributed photovoltaic uncertainty. The method comprises the following steps: firstly, collecting a photovoltaic output historical prediction value and an actual value in a power distribution network area, and calculating a prediction error; clustering prediction errors according to prediction time and prediction values, and calculating probability density distribution of each clustering result; establishing an equivalent model of the power distribution network to determine parameters to be identified, and then collecting electrical measurement values of the power distribution network to identify the parameters of the equivalent model; and finally, calling the equivalent model to predict distributed photovoltaic output in the power distribution network.

A method and a system are used to monitor electrical measurements of a power system during a period of time. The system calculates and analyzes incremental quantities based on the electrical measurements of the power system. The incremental quantities are used to identify a conductor breaking fault in the power system. Instructions are sent out to activate certain actions (e.g., protective actions) based on the identified fault and the type of fault. The system operates continuously to provide real-time monitoring and fault identification.

The invention belongs to the technical field of proximity switch sensor detection, and particularly relates to a multi-station proximity switch sensor detection method and device, and the method comprises the steps: S1, adjusting the coaxiality between a to-be-detected sensor and a target object at a plurality of detection stations, and adjusting the inclination angle of the target object to a specified angle; s2, driving the target object to move along the axial direction of the to-be-measured sensor according to a specified moving speed, enabling the target object to be close to the front end surface of the to-be-measured sensor, and outputting the sensing distance of the to-be-measured sensor; and S3, analyzing the sensing distance and the measured electrical measurement parameters to obtain a detection result of the sensor to be detected. According to the invention, the detection efficiency of the sensor is greatly improved, and the accuracy and reliability of the detection result are ensured.

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 present invention discloses a pipette tip comprising a molded body made from an electrically insulating material, with an outer surface, an inner surface, and a translucent or transparent feature allowing visibility through both surfaces. The pipette tip further includes at least one impedance or capacitance electrode made from an electrically conductive material, positioned on the outer surface away from the translucent or transparent feature. Each electrode is electrically isolated on the outer surface, ensuring accurate and reliable measurements during liquid handling operations. This innovative design provides enhanced visibility and precise electrical measurements, making the pipette tip ideal for various laboratory applications.

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 invention discloses a capacitance method measuring device and method for the thickness of a lubricating oil film between mechanical friction pairs based on a dynamic correction model, and belongs to the technical field of electrical measurement. Wherein the point contact ball disc testing machine comprises a point contact friction pair formed by a conductive disc and a steel ball; the conductive disc is electrically isolated by arranging insulating rubber pads on the upper surface and the lower surface of the conductive disc, and the steel ball is electrically isolated by arranging an insulating ceramic ball bearing in a transmission mechanism where the servo motor is connected with the steel ball. The two independent servo motors respectively drive the steel ball and the conductive disc to rotate, so that test working conditions at different speeds can be realized. According to the invention, the capacitance distribution in the Hertz contact area can be effectively calculated, the problem of measurement errors caused by peripheral capacitance interference of the Hertz contact area in a traditional capacitance method is solved, and accurate measurement of the oil film thickness between common metal friction pairs in engineering is realized.

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 provides an identification method for measuring fundamental wave pseudo oscillation by a low-sampling-rate measurement and control device, which belongs to the field of electrical measurement and comprises the following steps of: calculating an impedance deviation coefficient of a capacitor fundamental wave impedance value relative to a capacitor actual impedance value; searching effective maximum values and minimum values of the impedance deviation coefficients, taking the effective maximum values of the adjacent impedance deviation coefficients as analysis intervals, and calculating corresponding oscillation frequencies according to time differences of the analysis intervals; the maximum value and the minimum value threshold value of the impedance deviation coefficient corresponding to the oscillation frequency of each analysis interval are calculated, and the authenticity of measurement oscillation of the measurement and control device is identified according to the relation between the effective maximum value and the minimum value of the impedance deviation coefficient and the corresponding threshold value; the invention further provides a fundamental wave pseudo oscillation identification system measured by the low-sampling-rate measurement and control device. The risk of misjudgment caused by measurement pseudo oscillation of a low-sampling-rate measurement and control device due to high-frequency harmonic aliasing can be solved.

A temperature field test system for a thermocouple calibration furnace (1) having a temperature uniformity block (8). In the system, two ends of the thermocouple calibration furnace (1) are sealed by means of positioning blocks (9); a standard thermocouple (4) is placed in a quartz tube (2), a reference junction of the standard thermocouple (4) is connected to one end of a wire (3) and is then placed in a glass test tube (5), an opening of the glass test tube (5) is sealed, the glass test tube (5) is placed in a reference junction thermostat (6), and the other end of the wire (3) is connected to an electrical measurement device (7); when empty-furnace temperature field test parameters of the thermocouple calibration furnace (1) are to be acquired, the quartz tube (2) axially passes through the thermocouple calibration furnace (1) and the positioning blocks (9); and when temperature field test parameters of the thermocouple calibration furnace (1) having the temperature uniformity block (8) are to be acquired, the temperature uniformity block (8) is arranged in the thermocouple calibration furnace (1), and an end portion of the quartz tube (2) is inserted into the temperature uniformity block (8). Thus, the placement position of the temperature uniformity block (8) in the thermocouple calibration furnace (1) can be determined, and whether the temperature field of the thermocouple calibration furnace (1) having the temperature uniformity block (8) meets the technical specification requirements is determined. Further disclosed is a temperature field test method for a thermocouple calibration furnace (1) having a temperature uniformity block (8).

The invention relates to the technical field of flatness detection, in particular to a plane detection electrical testing platform which comprises a detection bottom plate and a detection base plate installed on the upper surface of the detection bottom plate, and the upper surface of the detection top plate is provided with a positioning column used for limiting a detected product. A height adjusting mechanism used for controlling the mounting bracket and the first laser distance measuring sensor to ascend and descend is mounted in the upper surface of the detection bottom plate, a PLC is connected to the rear side of the detection bottom plate, and a laser distance measuring assembly used for precise fine adjustment is mounted in the height adjusting mechanism. According to the plane detection electrical testing platform, the detected irregular area can be conveniently indicated, and then a worker can conveniently and timely level the irregular area on the surface of a product due to deformation in the later period, so that the accuracy of the level area can be improved, the frequency of leveling and repeated detection can be reduced, and the production efficiency is improved. Therefore, the efficiency of irregular detection of the surface of the product by the plane detection electric detection platform can be improved, and different use requirements can be met.

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.