64results about "Power factor measurement" patented technology

The invention provides an electric power and magnetic power dynamic joint detection method and system based on multivariable fusion, and relates to the technical field of power electronic equipment detection. According to the method, voltage, current and magnetic field sensors are arranged in a to-be-tested electromagnetic system, original physical quantity data are collected, and a multivariable time sequence data set is constructed; through preprocessing and feature extraction, a dynamic feature matrix related to electric power and magnetic power is generated; constructing a joint estimation model based on the matrix, and comparing the joint estimation model with a reference value to obtain a detection residual error; generating a state label according to the residual size and trend, and evaluating the estimation credibility in combination with a confidence interval; and a feedback mechanism is further constructed, model parameters and feature structures are optimized by adopting an adaptive algorithm, and online iteration and self-learning are realized. The method is high in detection precision, high in state recognition capability, good in adaptability and robustness, and suitable for energy flow monitoring and intelligent diagnosis of a complex electromagnetic system.

The invention relates to an anti-electricity-stealing monitoring method and device based on an intelligent universal meter, equipment and a medium. The method comprises the following steps: acquiring real-time electric sampling data of a universal meter, and preprocessing the data to obtain electric characteristic data; carrying out electricity stealing feature extraction on the electricity feature data by utilizing an edge electricity stealing detection model, and carrying out preliminary judgment on an electricity utilization type to obtain a preliminary judgment result; if the preliminary judgment result is at least one of an electricity larceny event and reverse feed, using a cloud electricity larceny detection model to perform secondary analysis on the electricity characteristic data to obtain an abnormal probability; and if the abnormal probability exceeds a preset threshold, generating a corresponding alarm work order, and pushing the alarm work order to a supervision platform. By adopting the method, the field acquisition capability of the intelligent multimeter can be fully combined, the local and cloud computing characteristics are combined, and the recognition and monitoring of electricity stealing behaviors such as low-current electricity stealing and reverse feed are effectively enhanced through a multi-source feature extraction and judgment mechanism.

The invention provides a power distribution control cabinet fault response method and device, and relates to the technical field of electrical automation control, and the key points of the technical scheme are that a weighted directed graph model representing the relation of internal components of a power distribution control cabinet is constructed in advance; mapping component fault information predicted by the digital twin system to attributes of corresponding nodes in the weighted directed graph model; identifying a fault path or a fault cluster satisfying a predetermined condition; for each identified fault path or fault cluster, calculating a composite risk index according to the prediction probability of the nodes included in the fault path or fault cluster, the weight of the connection edge and the severity of the influence on the system; and generating early warning information according to the composite risk index. According to the power distribution control cabinet fault response method and device provided by the invention, a potential fault propagation path or a fault aggregation area can be identified based on physical, electrical and influence relationships among components, and a composite risk formed by a plurality of potential fault combinations is quantified, so that a preventive maintenance decision is guided.

The invention discloses a power grid electric energy quality monitoring system, which relates to the field of electric energy quality monitoring, and is characterized in that a data acquisition module is arranged in the power grid electric energy quality monitoring system, a data transmission module is mounted on the outer side of the data acquisition module, and a data storage module is arranged behind the data transmission module; a data processing and analysis module is arranged on the outer side of the data storage module, a fault diagnosis and early warning module is arranged below the data processing and analysis module, and a display and visualization module is installed on the outer side of the fault diagnosis and early warning module. According to the power grid electric energy quality monitoring system, through widely distributed monitoring instruments and sensors, key parameters of a power grid are collected in real time, all nodes of the power grid are covered, data comprehensiveness and no monitoring blind area are ensured, and the real-time performance of data transmission is ensured by adopting multiple communication technologies and an automatic retry mechanism; in combination with a real-time analysis algorithm, power grid abnormity is rapidly identified, and fault response time is shortened.

The invention discloses a transformer area topology identification-based fault positioning method, system and device, and a medium, and the method comprises the steps: inputting an obtained first pulse number of a general meter and second pulse numbers of a plurality of sub-meters into a topology analysis model for solving, so as to determine a first transformer area topology structure; calculating a target correlation coefficient between the users based on each electrical quantity data, removing first user pairs of which the target correlation coefficients do not meet a preset correlation threshold to obtain a plurality of second user pairs, calculating a target DTW distance of each second user pair, taking the second user pair of which the target DTW distance is maximum as a third user pair, and taking the second user pair of which the target DTW distance is maximum as a second user pair of which the target DTW distance is maximum as a second user pair of which the target DTW distance is maximum as a third user pair; performing iterative optimization by taking the third user pair as an initial clustering center until a clustering termination condition is met, and determining a second transformer area topological structure according to an output target clustering result; and comparing the first transformer area topological structure with the second transformer area topological structure, if the first transformer area topological structure and the second transformer area topological structure are the same, determining a target transformer area topological structure, and performing fault positioning based on the target transformer area topological structure. According to the invention, the transformer area fault point can be accurately positioned.

The invention discloses a comprehensive test system for an alternating-current mobile power station. A power supply unit is electrically connected with a mains supply power supply and used for supplying power to the comprehensive test system. The load distribution unit is connected with a to-be-tested alternating current mobile power station, and an acquisition unit is arranged between the load distribution unit and the to-be-tested alternating current mobile power station; the load distribution unit is used for providing various simulation loads for the alternating current mobile power station to be tested according to the loading instruction of the control calculation unit; the acquisition unit is used for acquiring a simulation test signal under a corresponding simulation load and outputting the simulation test signal to the control calculation unit; the control calculation unit performs test calculation according to the simulation test signal to obtain a performance test result of the to-be-tested AC mobile power station under the corresponding simulation load, and the AC mobile power station comprehensive test system solves the problems that the existing AC mobile power station load test equipment is large in size and low in test efficiency through integrated modular design. The problems of multiple types of equipment required for completing steady-state test and transient test, low load reuse rate, single load simulation characteristic and poor test universality in the prior art are solved.

This application relates to an online monitoring and positioning method for electricity theft problems based on Beidou, including the following specific steps: triggering a sampling signal by the Beidou synchronous clock, and simultaneously performing ADC sampling at measuring points of different circuits; accumulating the instantaneous values collected at the same moment on the branch line to form the instantaneous value of the current of the virtual measuring point on the virtual upper-level line; calculating the effective current value respectively according to the measured instantaneous current value and the instantaneous current value of the virtual measuring point; comparing the effective current values of the measured point and the virtual measuring point, calculating the difference of the effective current values, and determining whether there is current abnormality according to the difference; when there is current abnormality, performing subtraction calculation on the instantaneous values of the measured point and the virtual measuring point to analyze whether it is leakage or electricity theft; when there is current abnormality, providing more judgment basis for the qualitative determination of the leakage current. This application can identify whether it is leakage current or electricity theft by performing harmonic analysis on the leakage current and combining the characteristics of electrical equipment.

The invention discloses an energy consumption monitoring method and system for moderate refining of torreya grandis oil, and relates to the technical field of energy consumption monitoring, and the method comprises the steps: collecting multi-modal energy consumption data from a refining workshop, carrying out the preprocessing of the data, generating a time sequence feature matrix, constructing a feature variable graph based on feature dimensions, introducing a graph attention mechanism for modeling, and generating a graph embedded representation. The graph embedding features are input into a double-layer GRU structure, dynamic evolution features in a process time sequence are learned, and a semantic behavior vector F is obtained; according to the method, three-variable graph embedding is constructed, semantic behavior vectors are generated, an LSTM prediction mechanism is fused to recognize energy consumption deviation, a dynamic threshold value is accurately set through a POT algorithm, and the adaptability of deviation judgment is improved. And in combination with a random forest classifier and a semantic rule, the energy consumption deviation behavior is accurately classified as a process response mismatch type, so that efficient, automatic and feedback energy consumption abnormity monitoring and intervention control are realized.

An electric meter (100) comprising a non-invasive voltage measurement sensor (12), one or more non-invasive current measurement sensors (14A-14C) for measuring one or more phase currents, and a digital processing unit (10). The voltage measurement sensor (12) and the current measurement sensors (14A-14C) are connected or connectable to the processing unit (10). The processing unit (10) is configured, in a calibration mode, to determine phase shift values between a first voltage sensor signal and first current sensor signals, and to store the phase shift values into a memory. The processing unit (10) is configured, in an operation mode, to determine a second voltage sensor signal, determine voltage estimates based on the second voltage sensor signal and the stored phase shifts, and determine, based on the voltage estimates and second current sensor signals determined by the current measurement sensors (14A-14C), respectively, one or more electric power values.

The application discloses a kind of photovoltaic inverter MPPT efficiency evaluation method, system and storage medium, respectively to measured voltage and measured current are evaluated, then using the result of respective independent evaluation to determine final MPPT efficiency result, compared with the way of traditional direct calculation power then evaluation, effectively reduce the degree of being influenced by output error.And, in the process of processing respectively, by respectively to measured voltage and maximum power point corresponding voltage, to measured current and maximum power point corresponding current are calculated deviation, then using deviation calculation result to carry out tracking efficiency calculation mode, can directly fundamentally guarantee that final calculated result will be less than 100%, i.e., it is in reasonable range, and evaluation result also has real meaning, can effectively reflect the work of photovoltaic inverter.

The invention discloses a dry-type air-core reactor turn-to-turn short circuit fault detection method and system. The method comprises the following steps: acquiring a first phase voltage signal and a first phase current signal of a to-be-detected dry-type air-core reactor in real time; the first phase voltage signal and the first phase current signal are preprocessed, the preprocessed first phase voltage signal and the preprocessed first phase current signal in a first specified number of windows are obtained through a sliding window, and a corresponding power factor real-time value is calculated according to the preprocessed first phase voltage signal and the preprocessed first phase current signal in each window; respectively calculating the change rate of each power factor real-time value compared with the power factor reference value; and if the real-time value of the power factor with the change rate greater than the preset threshold value reaches a second specified number, determining that the to-be-detected dry-type air-core reactor has the turn-to-turn short circuit fault. According to the turn-to-turn short-circuit fault detection method, the condition that the number of power factor change rates exceeds a normal range is adopted as a protection criterion, so that the sensitivity and reliability of turn-to-turn short-circuit fault detection are ensured.

The invention discloses a tunneling equipment high-speed sampling health diagnosis and protection method and an electric control system thereof, and relates to the field of tunneling equipment electric control systems, and the tunneling equipment high-speed sampling health diagnosis and protection method comprises a multi-loop three-phase current transformer, a common-bus three-phase voltage transformer, a high-speed sampler, a processing analyzer, a transmitter, an embedded industrial personal computer and an electric component formed by a controller. By high-speed acquisition and processing of original multi-electric-quantity signals, a traditional electric control system electric quantity sampling analysis mode is replaced, fault pre-warning, fault post-protection and original electric quantity information real-time storage are realized, online advanced pre-warning and protection are realized, offline analysis of high-speed sampled original large-capacity data is realized, functions of a small oscilloscope are integrated, and the system is simple in structure and convenient to use. The tunneling equipment electric control system is innovated, and the tunneling equipment electric control system has new functions of key transmission part degradation condition prediction, power supply network harmonic content analysis, ultra-high-speed original signal sampling, large-capacity data real-time transmission and storage and the like.

The application discloses a kind of transformer explosion-proof and fault monitoring device and method, belong to electric power equipment technical field.The specific device includes transformer oil tank pressure relief module, on-load tap changer pressure relief module, oil and gas separation tank, gas discharge pipeline, nitrogen injection module, transformer protection control cabinet, oil-immersed cable oil tank pressure relief module and transformer module, specific method includes: collecting transformer data;According to the power factor / loss factor of transformer bushing current collected calculation;Set transformer capacitance, power factor / loss factor and the early warning threshold of partial discharge signal and judge whether data reaches corresponding early warning threshold;Any data reaches early warning threshold in judgment result, determine transformer fault, trigger early warning and carry out transformer pressure relief, realize transformer explosion-proof and fault monitoring.The application realizes the pressure relief protection of transformer cable box, on-load tap changer module and main oil tank, and proposes online monitoring and fault diagnosis of key monitoring signals.

The invention relates to the technical field of thermoelectric material testing, and discloses a thermoelectric material testing method and system suitable for a high-intensity magnetic field. The method comprises the following steps: filling a thermoelectric material on a sample table in a sample rod, and vacuumizing the interior of the sample rod; heating the two sides of the sample table at different degrees, measuring the temperature of the two sides of the sample table, establishing a temperature difference, and measuring the voltage value of the thermoelectric material under the temperature difference to obtain a potential difference; performing linear fitting on the temperature difference and the potential difference to obtain a Seebeck coefficient; heating the two sides of the sample table to the same degree to enable the temperatures of the two sides of the sample table to be the same, measuring the resistance value of the thermoelectric material, and calculating the conductivity of the thermoelectric material. According to the invention, the Seebeck coefficient and the conductivity of the sample can be measured in a strong magnetic field.

The invention belongs to the technical field of power failure reason analysis, and particularly relates to an electric vehicle charging identification method, device and equipment and a medium, and the method comprises the steps: collecting an AC voltage signal and a current signal in a power supply loop in real time; calculating a real-time power factor according to the AC voltage signal and the current signal; comparing the real-time power factor with a first threshold value, if the real-time power factor is lower than the first threshold value and the real-time power factor is gradually increased within a preset time, performing fast Fourier transform on the total current signal to obtain a frequency domain signal, and screening a content ratio of target harmonic waves and a total harmonic distortion rate based on the frequency domain signal; comparing the content ratio and the total harmonic distortion rate of the target harmonic with a second threshold value, and if the content ratio and the total harmonic distortion rate of the target harmonic are both higher than the second threshold value, calculating a current peak value fluctuation ratio of current waveform pulsation of the target harmonic based on the content ratio and the total harmonic distortion rate of the target harmonic, and comparing with a third threshold value.

A method for synchronizing opening of a circuit breaker is presented. The circuit breaker is arranged to interrupt a current to an inductive load. The method is performed in a control device (2) and comprises measuring (S100) a reference signal as a function of time for a circuit breaker (1) connected to an inductive load (5), obtaining (S110) an indication of a power factor of the inductive load through the circuit breaker, determining (S120) an arcing time for opening of the circuit breaker, the arcing time being dependent on the obtained indication of a power factor, predicting (S130) a zero crossing of a current through the circuit breaker based on the measured reference signal, and providing (S140) contact separation of a contact pair of the circuit breaker at a point of time before the predicted zero crossing, the point of time being determined by the determined arcing time and the predicted zero crossing. A control device, a circuit breaker arrangement, and a computer program for synchronizing opening of a circuit breaker are also presented.

The invention discloses an intelligent load monitoring system of a safety type electric energy metering box, which comprises a data acquisition layer, a data transmission layer, a data intelligent processing layer and an application layer, and is characterized in that the data acquisition layer is provided with an intelligent electric meter, a high-precision sensor and an electric energy quality analysis layer, and the data transmission layer comprises a protocol conversion module, an edge conversion module and a communication module; the intelligent data processing layer comprises data access, data processing, data storage, load analysis and intelligent processing, the application layer comprises real-time monitoring, alarm, management, energy efficiency analysis and report, and the electric energy metering box carries out real-time data monitoring on all components in the metering box, collects detailed energy consumption data in each time period, and carries out real-time monitoring on all the components in the metering box. And the collected real-time data is uploaded to the terminal, and is calculated, classified and counted into a table, so that the real-time load condition of each component in the electric energy metering box can be known in time, and the service life of the electric energy metering box is greatly prolonged under the condition that the long-time safe use of the electric energy metering box is ensured.

This invention relates to the field of magnetically coupled wireless power transfer (MC-WPT) technology, specifically disclosing a method and system for detecting mutual inductance in an MC-WPT system based on frequency modulation and phase shift control. When the system experiences parameter drift and is no longer in a resonant state, frequency modulation control is used to ensure the power factor angle at the transmitting end is within a preset range, and phase shift control is used to ensure the phase angle at the receiving end is 90°, causing the system to resonate again. The mutual inductance between the coupling mechanisms is calculated based on the resonant frequency at this point, the fundamental output voltage of the transmitting end's full bridge, and the current in the resonant circuit of the receiving end, or vice versa. Due to the introduction of frequency modulation and phase shift control, this mutual inductance detection and measurement can be very accurate. Experiments have verified that the accuracy of mutual inductance detection using this invention is high.

The present invention relates to the technical field of energy data processing, and particularly relates to an energy conservation and environmental protection detection method and system for green buildings. According to the change trends of all data in the corresponding dimension within the neighborhood range of each dimension data at the target sampling moment, the abnormality degree of each dimension data at the target sampling moment is obtained; by combining the difference in the abnormality degree between two dimension data and the local distribution correlation, the connection between the two dimension data at the target sampling moment is obtained; further, the correction score coefficient of the electrical efficiency data at the target sampling moment is obtained; the initial score value of the corresponding electrical efficiency data is corrected to obtain the corrected score value of the electrical efficiency data at the target sampling moment; the corrected score values of the electrical efficiency data at each sampling moment are obtained; and the abnormal electrical efficiency data is screened out. The present invention obtains accurate score values for each electrical efficiency data, improves the accuracy of detecting abnormal electrical efficiency data, and optimizes the energy conservation and environmental protection detection results.

The invention provides a method and device for improving the calibration precision of an electricity meter, and belongs to the technical field of electricity meter calibration. The method for improving the calibration precision of the electric meter comprises the following steps: S1, collecting a first real-time voltage and a first real-time current; s2, obtaining a first filtering voltage and a first filtering current; s3, obtaining a correction gain coefficient of the filter; s4, acquiring a voltage calibration coefficient and a current calibration coefficient; s5, collecting a second real-time voltage and a second real-time current; s6, obtaining a second filtering voltage and a second filtering current; s7, calculating and obtaining a voltage and current phase difference calculation value based on the second filtering voltage and the second filtering current; and S8, obtaining a power factor standard value, and calculating and obtaining a phase calibration coefficient based on the power factor standard value and the voltage and current phase difference. The method is simple in calibration process, short in period, high in precision and high in success rate, and production efficiency is greatly improved while product performance indexes are guaranteed.

The present invention relates to a cutting device (2), in particular a cutting device that can be actuated hydraulically or electrically, with a cutting head (12), which is formed so as to encompass an item to be cut (2), with a movable cutting blade (11) and a stationary cutting blade (16), which can be traversed linearly relative to one another. The cutting device (2) comprises a sensor (32, 33) to register the moving blade (11) with regard to its position.

The invention relates to the technical field of electricity larceny prevention monitoring, in particular to a floor type metering box electricity larceny prevention monitoring control method based on a built-in sensor. According to the invention, analysis is preliminarily carried out from the double angles of current and power consumption of the floor type metering box, so that whether the floor type metering box has a suspicious behavior of electricity stealing is judged, and whether monitoring data of the floor type metering box is abnormal due to self abnormity is analyzed from the angle of the equipment state; the accuracy of the anti-electricity-stealing monitoring result of the floor type metering box is further improved, electricity stealing analysis is further carried out from the power factor and the associated electricity consumption, the electricity stealing behavior is accurately recognized and early warned, the recognition accuracy of the electricity stealing behavior is improved, and the accuracy of the anti-electricity-stealing monitoring result of the floor type metering box is improved. And whether the floor type metering box is illegally opened for stealing electricity is deeply determined, so that early warning feedback can be timely carried out, the floor type metering box is reasonably managed, and an electricity stealer is prevented from further damaging the floor type metering box or covering electricity stealing evidences.

The invention discloses an automatic test system and method for a feeder terminal, and relates to the technical field of feeder terminal testing, the installation information of the feeder terminal on a feeder line is determined, and a test model is constructed based on the installation information and the feeder line; formulating a plurality of pieces of test scheme information corresponding to the feeder terminal, constructing the plurality of pieces of test scheme information into a plurality of test blocks, and carrying out information binding between the test scheme information and the corresponding test blocks; linkage points are arranged in the multiple test blocks, and a virtual combination of the multiple test blocks is formed through the linkage points; and determining an actual test flow of the feeder terminal, obtaining a virtual combination based on the actual test flow, constructing the virtual combination based on the linkage point to obtain a test line, and automatically testing the feeder terminal according to the test line. According to the invention, the feeder terminal can be continuously tested, a plurality of test types can be combined through the linkage points, test preparation can be rapidly made according to test requirements, and the test of the feeder terminal can be rapidly completed.

The invention belongs to the technical field of power electronic measurement, and discloses a self-calibration type standard load box system and a test method, equipment and medium thereof, so as to solve the problems of precision drift, complex calibration process, incapability of online operation, incomplete measurement parameter display and the like caused by long-term use of the existing load box. The system comprises an impedance main body module which is composed of an adjustable resistor and an adjustable inductor which are adjusted in a numerical control manner and is used for providing a standard impedance load and adjusting a power factor angle; the automatic calibration test device comprises a signal acquisition unit, a signal processing unit, a data processing unit and a display unit which are connected in sequence, and the self-calibration module is used for carrying out automatic precision calibration on the impedance main body module based on the calculation result of the data processing unit. By introducing'measurement-calibration-compensation 'closed-loop control, self errors can be automatically identified and corrected, and the problem of precision drift of traditional equipment caused by component aging and environment change is effectively solved.

The invention discloses a method and a system for testing a power device. The method comprises the following steps: determining a current voltage phase angle and a current current phase angle; outputting a first modulation ratio according to the topological structure of the test-accompanying power conversion circuit, the actual voltage of the test-accompanying power conversion circuit, the reference voltage, the current voltage phase angle and a first proportional-integral control strategy, and outputting a first control signal to the test-accompanying power conversion circuit according to the first modulation ratio; outputting a second modulation ratio according to the topological structure of the tested power conversion circuit, the actual current of the tested power conversion circuit, the reference current, the current current phase angle and a second proportional-integral control strategy, and outputting a second control signal to the tested power conversion circuit according to the topological structure of the tested power conversion circuit, the first modulation ratio and the second modulation ratio; and obtaining temperature information of each tested power device. According to the technical scheme, the power factor can be conveniently adjusted, the test requirements of various working conditions are met, and the test accuracy is improved.

The invention discloses a power plant electric quantity statistical method, which belongs to the field of electric power system intelligent monitoring and electric quantity statistical, and comprises the following steps: S1, collecting analog quantity signals of current, voltage, frequency and power factor, and carrying out first timestamp correction processing; s2, uploading to an electric quantity main server and a scheduling synchronization node; s3, constructing a minute-level electric quantity data block, performing difference reconstruction on boundary errors of adjacent time periods, and generating a time sequence electric quantity vector in a unified format; s4, performing screening of discontinuous electric quantity fragments on each time sequence electric quantity vector; s5, performing structured analysis on the time sequence electric quantity, extracting a power generation load change section, and generating a partition statistical report; s6, based on a global electric quantity timeline generated by the scheduling synchronization node, performing synchronous verification on a statistical result of the electric quantity main server, and constructing a credible daily statistical electric quantity report; and S7, constructing an edge node topological graph, and associating the edge node topological graph with statistical data. The method has the beneficial effects that the electric quantity precision, continuity and abnormity positioning capability are improved.

The invention provides an industrial load decomposition method based on harmonic coupling and nonlinear feature fusion, and belongs to the technical field of intelligent power grid monitoring. The method comprises the following steps: acquiring an electrical signal at a main power supply of an industrial load; basic electrical characteristics are extracted based on the electrical signals, and a basic characteristic set is constructed; geometric mean features are determined through the basic electrical features, and a geometric mean feature set and a multi-time scale geometric mean feature set are constructed; combining the basic feature set, the multi-time scale geometric mean feature set and the geometric mean feature set to construct a fusion feature set; training a long-short-term memory network by using the fused feature set; and performing non-intrusive industrial load energy consumption monitoring by using the trained long-short-term memory network. According to the method, the long-short-term memory network is trained by fusing the feature set, and the trained long-short-term memory network set is utilized to carry out non-intrusive load monitoring, so that the energy consumption of each load in the industrial load can be more accurately detected, decomposed and evaluated.

The invention relates to a safety assessment method for an energy storage converter. The method comprises the following steps: acquiring a first-level evaluation index of the energy storage converter, wherein the first-level evaluation index corresponds to at least one second-level evaluation index; constructing a judgment matrix based on the first-level evaluation index to obtain a feature extreme value of the judgment matrix and a feature vector corresponding to the feature extreme value, and performing normalization processing on the feature vector to obtain a weight corresponding to the first-level evaluation index; constructing a fuzzy relation matrix based on a preset reference evaluation vector and a membership degree of a second-level evaluation index, and obtaining a membership degree vector of the first-level evaluation index based on the fuzzy relation matrix and the weight corresponding to the first-level evaluation index; and determining the safety level of the energy storage converter based on the membership degree vector.

Techniques and mechanisms for providing power telemetry information which indicates a total load current from one or more power supply units (PSUs). In an embodiment, a device is coupled to receive a first signal from the current share bus which is coupled to each of multiple PSUs. A voltage level of the first signal represents a target amount of current to be output by each of the one or more PSUs. A second signal is generated based on both the first signal, and on an indication of a scale according to which a primary PSU of the one or more PSUs represents a target amount of current. In another embodiment, an amplification is performed, based on the second signal and on a total number of the one or more PSUs, to generate an Isys signal which indicates a total load current output by the one or more PSUs.

The present application relates to a device and method for surveying a power line-buried path, wherein the device includes a transmitter which selects a balanced / unbalanced voltage to output input and rectified output power as a current pulse in the form of an unmodulated pulse or a frequency-modulated signal when a current pulse signal is transmitted to a conductor (power line) of a public distribution network, and a receiver in which a plurality of magnetic field sensors inductively couple the pulse or the frequency-modulated signal within a near magnetic field distance to obtain a difference value in each direction to obtain a depth.