Short-circuit parameter measurement and analysis method, system, equipment and medium

Abstract

The invention discloses a short circuit parameter measurement and analysis method, system, equipment and medium, and relates to the technical field of power system detection, and the method comprises the steps: carrying out the synchronous sampling of a voltage signal and a current signal in a detected line, carrying out the conditioning and conversion of an obtained sampling signal, and generating an original digital quantity; calibrating the original digital quantity to obtain calibrated effective measurement data; short-circuit parameters are calculated based on the effective measurement data, the short-circuit parameters comprise short-circuit current, short-circuit impedance and short-circuit power, and the calculation process comprises fundamental wave extraction and phasor analysis; visually displaying the calculated short-circuit parameters, and generating report data containing a measurement result according to user operation; and in the measurement process, the running state is dynamically adjusted according to the current task type and the energy consumption state. According to the invention, the authenticity of measured data is improved through synchronous sampling and conditioning conversion of voltage and current signals in combination with a multi-dimensional calibration strategy.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power system detection, in particular to a short-circuit parameter measurement and analysis method, system, device and medium. BACKGROUND

[0002] Short-circuit parameters are the key basis for power system operation analysis, protection setting and fault judgment, mainly including short-circuit current, short-circuit impedance and short-circuit power and other indicators. Accurate and rapid acquisition of these parameters is of great significance to ensure the safe and stable operation of the power grid. Traditional short-circuit parameter measurement methods mostly rely on large fixed measurement devices, often requiring complex wiring and debugging processes, and have high requirements for measurement environment and operating personnel, which are not suitable for rapid detection in the field or emergency scenarios. At the same time, most existing portable devices have single functions, limited measurement accuracy, lack of systematic signal conditioning, calibration mechanism and energy consumption control strategy, and are difficult to meet the on-site use requirements of high reliability, high integration and low power consumption.

[0003] In addition, in terms of data processing, some existing technologies still remain in the stage of simple waveform acquisition and numerical calculation, and fail to effectively integrate frequency domain analysis and phasor modeling, making it difficult to balance real-time performance and accuracy. In terms of human-computer interaction, traditional devices mostly use basic data display methods, lack intuitive visual feedback and the ability to generate measurement reports, which is not conducive to the archiving and analysis of measurement results. In summary, there is an urgent need for a short-circuit parameter measurement method and device with high precision, low power consumption, friendly interaction and high adaptability to meet the needs of modern power system field testing and rapid response. SUMMARY

[0004] In view of the above problems, the present application is proposed.

[0005] Therefore, the problem to be solved by the present application is that, in terms of data processing, some existing technologies still remain in the stage of simple waveform acquisition and numerical calculation, and fail to effectively integrate frequency domain analysis and phasor modeling, making it difficult to balance real-time performance and accuracy.

[0006] To solve the above technical problems, the present application provides the following technical solutions: a short-circuit parameter measurement and analysis method, which includes synchronously sampling voltage signals and current signals in a measured line, and conditioning and converting the obtained sampling signals to generate original digital quantities; calibrating the original digital quantities to obtain calibrated effective measurement data; calculating short-circuit parameters based on the effective measurement data, the short-circuit parameters including short-circuit current, short-circuit impedance and short-circuit power, the calculation process including fundamental wave extraction and phasor analysis; visually displaying the calculated short-circuit parameters, and generating report data containing measurement results according to user operations; and dynamically adjusting the operating state according to the current task type and energy consumption state during the measurement process.

[0007] As a preferred scheme of the short-circuit parameter measurement and analysis method, the synchronous sampling of the voltage signals and the current signals in the measured line comprises uniformly controlling the voltage sampling channel and the current sampling channel by using a uniform sampling clock signal, so that each channel starts the sampling action at the same sampling time; the instantaneous values of the voltage signals and the current signals are simultaneously obtained by a parallel sampling mechanism during the sampling process; and the voltage signals and the current signals sampled by each channel are compared and checked in terms of time reference after the sampling is completed, so that the voltage signals and the current signals correspond to each other under the same reference phase.

[0008] As a preferred scheme of the short-circuit parameter measurement and analysis method, the conditioning and conversion of the obtained sampling signals comprise inhibiting common-mode interference and keeping the measurement signal amplitude within a specified range by means of isolation and amplification of the collected voltage signals and current signals; the signals subjected to isolation and amplification are subjected to bandwidth limiting processing; the analog signals subjected to the bandwidth limiting processing are input into an analog-to-digital conversion unit for high-resolution analog-to-digital conversion to generate original digital quantities.

[0009] As a preferred scheme of the short-circuit parameter measurement and analysis method, the calibration of the original digital quantities comprises presetting a set of calibration coefficients for describing the characteristics of measurement errors; error modeling and compensation processing are performed on the original digital quantities based on the calibration coefficients, the calibration model is used to correct the voltage and current original values in the original digital quantities; and the voltage value and the current value output by the calibration model are taken as effective measurement data.

[0010] The preferred technical scheme has the beneficial effect that the introduction of the calibration coefficients offsets the system errors, so that the effective measurement data obtained after calibration is closer to the real signals, which helps to improve the reliability and engineering usability of the short-circuit parameter calculation.

[0011] As a preferred scheme of the short-circuit parameter measurement and analysis method, the short-circuit parameter calculation based on the effective measurement data comprises performing fundamental component extraction processing on the calibrated voltage signals and current signals, obtaining the main frequency component amplitudes and phase information of the signals, and constructing the fundamental wave phasor expressions of the voltage and the current; based on the voltage fundamental wave phasor and the current fundamental wave phasor, the phasor difference values before and during the fault are calculated respectively, and then the short-circuit current drop and the short-circuit voltage drop are obtained; and according to the phasor difference values, the short-circuit impedance and the short-circuit apparent power are calculated in sequence.

[0012] The preferred technical scheme has the beneficial effect that the fundamental wave extraction and the phasor algorithm are combined to simultaneously extract key electrical parameters such as the short-circuit current, the short-circuit impedance and the short-circuit power, so as to comprehensively reflect the short-circuit characteristics of the measured line and provide high-precision support for system access planning, relay protection setting and equipment matching.

[0013] As a preferred scheme of the short-circuit parameter measurement and analysis method, the visual display of the calculated short-circuit parameters comprises displaying the calculated short-circuit parameters in a combination of text and graphics in a measurement interface; the display mode is adjusted according to the current operation mode and user input, and the displayed data is analyzed; the report data containing the measurement results is generated according to the user operation, which comprises automatically archiving the short-circuit parameters and analysis results after the analysis is completed; a corresponding report template is dynamically loaded according to the user-selected report type, and the report data is encapsulated in the template format; and the generated report data is saved in a structured data format.

[0014] As a preferred scheme of the short-circuit parameter measurement and analysis method, the dynamic adjustment of the running state according to the current task type and energy consumption state comprises constructing a running state set with differentiated processing capabilities and power consumption levels based on the processing requirements and resource usage strategies of the current measurement task; the current task load, battery power and external power connection state are monitored in real time, and whether the running state needs to be switched is judged based on the remaining power and task priority; the processor frequency, power module activation and peripheral activation state are dynamically adjusted according to the switched running state to adapt to the current running state.

[0015] The beneficial effects of the preferred technical scheme are that the running mode is dynamically adjusted according to the current task characteristics, the power consumption of the device is reduced, the quality of task completion is ensured, the long-time field operation demand is met, and resource waste is reduced.

[0016] To solve the above technical problems, the present application provides the following technical scheme: a short-circuit parameter measurement and analysis system, comprising a data acquisition module, a data processing module, a short-circuit parameter calculation module, a visualization module and an adjustment module; the data acquisition module is used for synchronously sampling the voltage signal and the current signal in the measured line, and performing conditioning and conversion on the obtained sampling signal to generate original digital quantities; the data processing module is used for calibrating the original digital quantities to obtain calibrated effective measurement data; the short-circuit parameter calculation module performs short-circuit parameter calculation based on the effective measurement data, the short-circuit parameters including short-circuit current, short-circuit impedance and short-circuit power, and the calculation process including fundamental wave extraction and phasor analysis; the visualization module is used for visually displaying the calculated short-circuit parameters, and generating report data containing the measurement results according to user operation; and the adjustment module dynamically adjusts the running state according to the current task type and energy consumption state during the measurement process.

[0017] A computer device comprises a memory and a processor, the memory stores a computer program, and the processor implements the steps of the short-circuit parameter measurement and analysis method as described above when executing the computer program.

[0018] A computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the short-circuit parameter measurement and analysis method as described above.

[0019] The present application has the advantages that: the present application provides a short-circuit parameter measurement and analysis method, which has the advantages of high sampling precision, strong measurement accuracy, comprehensive parameter calculation, high running efficiency, etc. Through synchronous sampling and conditioning conversion of voltage and current signals, combined with multi-dimensional calibration strategy, the authenticity of the measurement data is improved; through the short-circuit parameter calculation method based on fundamental wave extraction and phasor analysis, efficient extraction of key parameters such as short-circuit current, short-circuit impedance and short-circuit power is realized; in addition, by introducing the running state adaptive adjustment mechanism combining task driving and energy consumption perception, the device power consumption is effectively reduced and the endurance time is prolonged, thereby meeting the comprehensive requirements of portability, reliability and intelligent level of field operation. BRIEF DESCRIPTION OF DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0021] Figure 1 The flowchart of the short-circuit parameter measurement and analysis method in Example 1. DETAILED DESCRIPTION

[0022] In order to make the above-mentioned purposes, features and advantages of the present application more apparent and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings.

[0023] In the following description, many specific details are set forth in order to provide a thorough understanding of the present application, but the present application can also be implemented in other ways different from those described herein, and those skilled in the art can make similar generalizations without departing from the concept of the present application, therefore the present application is not limited to the specific embodiments disclosed below.

[0024] Example 1, refer to Figure 1 , the first embodiment of the present application, the embodiment provides a short-circuit parameter measurement and analysis method, including, as Figure 1 shown:

[0025] S1: Synchronize sampling of voltage and current signals in the measured circuit, and process and convert the obtained sampling signals to generate raw digital quantities.

[0026] S2: Calibrate the raw digital quantities to obtain calibrated effective measurement data.

[0027] S3: Calculate short-circuit parameters based on the effective measurement data, including short-circuit current, short-circuit impedance, and short-circuit power. The calculation process includes fundamental wave extraction and phasor analysis.

[0028] S4: Visualize the calculated short-circuit parameters and generate report data containing measurement results according to user operations.

[0029] S5: During the measurement process, dynamically adjust the operating state according to the current task type and energy consumption state.

[0030] It should be noted that the traditional device adopts an independent channel acquisition structure, lacks a high-precision synchronization control mechanism, resulting in a time offset between voltage and current signals, which seriously affects the accuracy of subsequent phasor calculation. Most portable measurement devices do not have a system-level error compensation strategy, making it difficult to correct system errors caused by amplifier drift, analog-to-digital conversion deviation, etc., resulting in insufficient reliability of measurement data and inability to be used for high-precision engineering analysis. Existing solutions often estimate short-circuit current by directly calculating waveform amplitude or short-time window integration, lack system modeling of fundamental wave and phasor, and have limited parameter coverage, which cannot meet the comprehensive evaluation needs in complex electrical environments.

[0031] Therefore, to solve the above problems, steps S1-S5 are taken to synchronize sampling of voltage and current signals in the measured circuit, process and analog-to-digital convert the sampling signals to generate raw digital quantities. Then, calibrate the raw digital quantities to obtain true and effective measurement data. Next, calculate short-circuit parameters based on the calibrated data, extract key indicators such as short-circuit current, short-circuit impedance, and short-circuit power. Then, visualize the calculated parameter results and generate report data containing measurement results according to user operations. Finally, dynamically adjust the operating state of the measurement device according to the current task type and device energy consumption state to achieve optimal balance between performance and power consumption.

[0032] Embodiment 2, which is different from the first embodiment, is a short-circuit parameter measurement and analysis method, which further includes the following steps A1-A3 in step S1:

[0033] A1: Use a unified sampling clock signal to uniformly control the voltage sampling channel and the current sampling channel, so that each channel starts sampling at the same sampling time.

[0034] A2: In the sampling process, the instantaneous values of the voltage signals and the current signals are obtained simultaneously through a parallel sampling mechanism to avoid time deviation caused by channel switching or delay.

[0035] A3: After sampling is completed, the voltage signals and the current signals of each channel are compared and checked for time reference to make the voltage signals and the current signals correspond to each other at the same reference phase, thereby realizing strict synchronous sampling of the voltage signals and the current signals.

[0036] Further, the obtained sampling signals are conditioned and converted, including the following steps A4-A6:

[0037] A4: The collected voltage signals and current signals are inhibited by isolation and amplification to keep the measurement signal amplitude within a specified range.

[0038] A5: The signals after isolation and amplification are subjected to bandwidth limiting processing to eliminate high-frequency interference components and ensure the effectiveness of subsequent sampling.

[0039] A6: The analog signals after bandwidth limiting processing are input into an analog-to-digital conversion unit for high-resolution analog-to-digital conversion to generate original digital quantities.

[0040] In the embodiment of the present application, in step A5, the bandwidth limiting processing method adopts an analog low-pass anti-aliasing filter method, including the following steps A511-A513:

[0041] A511: An analog low-pass filter with a cutoff frequency lower than half of the sampling frequency is designed and connected in series at the front end of each sampling channel.

[0042] A512: Before the signal enters the analog-to-digital conversion unit, the filter is used to filter out signal components above the cutoff frequency to suppress potential aliasing noise.

[0043] A513: The filters with consistent parameter configurations are used for multiple channels to ensure consistency in the processing process of different voltage and current channels, thereby improving the comparability and accuracy of the sampling data.

[0044] In an optional embodiment, the bandwidth limiting processing method can also adopt an oversampling + digital filtering method, including the following steps A521-A523:

[0045] A521: The analog signal is rapidly sampled at a frequency higher than 2 times the target sampling rate to generate an oversampling sequence.

[0046] A522: The oversampling sequence is input into a digital low-pass filter for processing to filter out high-frequency noise components in the frequency spectrum and limit the signal bandwidth.

[0047] A523: decimation operation is performed on the filtered oversampling data to restore it to the target sampling rate while retaining valid information components and suppressing aliasing distortion.

[0048] In another optional embodiment, the bandwidth limiting process can also adopt the method of adaptive filtering or notch processing, including the following steps A531-A533:

[0049] A531: pre-estimation analysis is performed on the typical interference frequencies (such as harmonics, electromagnetic interference frequency bands) that may exist in the measured power system before sampling;

[0050] A532: based on the interference frequency and signal characteristics, an adaptive filter or a notch filter is configured to attenuate specific frequency bands (such as 50Hz ± n harmonics, radio frequency interference) in a targeted manner;

[0051] A533: according to the dynamic changes of the measurement environment, the filtering parameters are adjusted to achieve the optimal suppression effect, and ensure that the key frequency band signal energy is transmitted to the sampling system in an integral manner.

[0052] It should be noted that this step effectively suppresses high-frequency noise and common-mode interference through isolation amplification and anti-aliasing filtering, ensuring the stability and accuracy of the sampling signal; the signals of each channel are conditioned and converted to raw digital quantities under a unified standard, reducing the differences between different signal sources and improving the reliability of subsequent processing; the conditioning and conversion process has good interface compatibility and can adapt to multiple voltage and current input types, improving the versatility of the system.

[0053] Further, in step S2, calibrating the raw digital quantity includes the following steps B1-B3:

[0054] B1: a set of calibration coefficients for describing measurement error characteristics is preset.

[0055] B2: based on the calibration coefficients, error modeling and compensation processing is performed on the raw digital quantity, and the calibration model is used to correct the voltage and current raw values in the raw digital quantity.

[0056] B3: the voltage value and the current value output by the calibration model are taken as effective measurement data.

[0057] In the embodiments of the present application, in step B1, the calibration coefficient acquisition method can be based on a multi-point calibration fitting method of a standard signal source, including the following steps B111-B113:

[0058] B111: connect the measurement device to a standard voltage source and a standard current source, apply different known amplitude test signals (such as voltage step signals, current step signals) in sequence, and record the raw sampling output values of the device.

[0059] B112: Pair the standard values with the device output values, respectively perform curve fitting for each voltage and current channel, and establish a nonlinear mapping relationship between the input and the output.

[0060] B113: Extract a set of calibration coefficients for each channel according to the fitting results, including at least zero offset coefficients, first-order gain coefficients, and second-order nonlinear coefficients, and store them in the device as core parameters for subsequent calibration compensation.

[0061] In an optional embodiment, the calibration coefficient acquisition method can also be based on the lookup table method, including the following steps B121-B123:

[0062] B121: Establish an input-output correspondence table for each channel through laboratory testing or historical calibration data in advance, forming a static lookup table structure.

[0063] B122: Use the original digital output of each voltage or current measurement channel as the lookup table index value to query the corresponding true value offset or correction.

[0064] B123: Construct the calibration correction in the lookup table result as an "equivalent coefficient" or an equivalent fitting function, which is used for error compensation during operation.

[0065] In another optional embodiment, the calibration coefficient acquisition method can also be based on a self-learning mechanism to dynamically acquire, including the following steps B131-B133:

[0066] B131: During device operation, continuously collect voltage and current measurement results, and combine with synchronous values provided by an external high-precision reference measurement system (such as a high-precision PMU or an oscilloscope).

[0067] B132: By comparing the measurement results with the reference values online, use the least squares method, linear regression or neural network algorithm to continuously adjust the calibration coefficients of each channel to minimize the error.

[0068] B133: Write the converged and stable calibration coefficients into the device configuration file in real time for dynamic error compensation, while having the ability to adaptively update with environmental changes.

[0069] It should be noted that this step can effectively offset the system error caused by component differences, temperature drift or precision offset in the acquisition link by introducing calibration coefficients; the effective measurement data obtained after calibration is closer to the true signal, which helps to improve the reliability and engineering usability of short-circuit parameter calculation; supports dynamic updating of calibration coefficients based on calibration sources, historical offsets, etc., enhancing the stability and maintainability of the device during long-term operation.

[0070] Specifically, in step B2, the calibration model includes a voltage calibration model and a current calibration model, and the formula is expressed as,

[0071] V cal (n)=f cal (V raw (n),C param )

[0072] I cal (n)=g cal (I raw (n),C param )

[0073] wherein V cal (n) is the calibrated voltage data, f cal is the voltage calibration function, V raw (n) is the original voltage data, C param is the calibration coefficient set, I cal (n) is the calibrated current data, g cal is the current calibration function, and I raw (n) is the original current data.

[0074] Further, in step S3, the short-circuit parameter calculation based on the effective measurement data includes the following steps C1-C3:

[0075] C1: Perform fundamental component extraction processing on the calibrated voltage signal and the current signal to obtain the main frequency component amplitude and phase information of each signal, and construct the fundamental wave phasor expression of the voltage and the current.

[0076] C2: Based on the voltage fundamental wave phasor and the current fundamental wave phasor, calculate the phasor difference before and during the fault, respectively, and then obtain the short-circuit current drop and the short-circuit voltage drop.

[0077] C3: According to the phasor difference, sequentially calculate the short-circuit impedance and the short-circuit apparent power.

[0078] In the embodiments of the present application, in step C1, the fundamental component extraction processing extracts the main frequency component based on fast Fourier transform (FFT), including the following steps C111-C113:

[0079] C111: Collect a certain number of voltage and current sampling points within a set fixed sampling window to form a complete period of discrete-time signal.

[0080] C112: Perform fast Fourier transform on the collected data to extract the frequency domain amplitude and phase corresponding to the main frequency (power frequency).

[0081] C113: Converts the main frequency component of the FFT output into complex phasors in amplitude-phase angle form, representing the fundamental phasors of voltage and current, respectively, for subsequent short-circuit parameter calculations.

[0082] In an optional implementation, the fundamental component extraction process can also extract the fundamental component based on the Phase Locked Loop (PLL) method, including the following steps C121-C123:

[0083] C121: Perform Clarke (Clarke Transformation) or Park (Park Transformation) transformations on the sampled signal to construct an equivalent orthogonal coordinate system representation, which is used to decouple the fundamental wave information.

[0084] C122: Uses PLL technology to lock and track the phase of the signal, extracting a stable fundamental frequency and angular velocity.

[0085] C123: Using the PLL output as a reference, calculate the fundamental amplitude and phase angle of the signal in the synchronous rotating coordinate system to construct a stable synchronous phasor model.

[0086] In another alternative implementation, the fundamental component extraction process can also be based on fundamental phasor tracking using an adaptive Kalman filter, including the following steps C131-C133:

[0087] C131: Construct a state-space model based on the sampled signal, setting the system state as the amplitude, frequency and phase of a sine wave, and using voltage and current measurements as observation inputs.

[0088] C132: The Kalman filter algorithm is used to recursively estimate the state-space model and dynamically output the optimal main frequency amplitude and phase angle estimates.

[0089] C133: Converts the filter estimation results into complex phasor form, representing the fundamental components of voltage and current, for subsequent short-circuit current, impedance, and power analysis.

[0090] It should be noted that this step simultaneously extracts key electrical parameters such as short-circuit current, short-circuit impedance, and short-circuit power, comprehensively reflecting the short-circuit characteristics of the tested line; it provides high-precision support for system access planning, relay protection setting, and equipment matching, and helps to identify potential short-circuit hazards in advance; combined with fundamental wave extraction and phasor algorithms, it ensures efficient calculation even under resource-constrained conditions of portable equipment.

[0091] Specifically, in step C3, the short-circuit impedance is calculated based on the ratio of voltage drop to current, expressed by the following formula:

[0092]

[0093] wherein Z sc is short circuit impedance, V drop is voltage drop, V pre is pre-fault voltage, V fault is voltage during fault, I sc is short circuit current, I fault is current during fault, I pre is pre-fault current.

[0094] The short circuit apparent power is obtained by multiplying the short circuit voltage phasor and the current conjugate phasor, and the formula is as follows:

[0095]

[0096] wherein S sc is short circuit apparent power, P sc is short circuit active power, Q sc is short circuit reactive power, j is an imaginary unit, is short circuit current conjugate complex number.

[0097] Further, in step S4, the calculated short circuit parameters are visualized and displayed, including the following steps D1-D2:

[0098] D1: The calculated short circuit parameters are displayed in the measurement interface in a combination of text and graphics.

[0099] D1: The display mode is adjusted according to the current operation mode and user input, and the displayed data is analyzed.

[0100] Specifically, in step D1, the displayed content includes numerical results, vector graphics, phase angle indications, and trend curves, and switching between multiple information layouts is supported; in step D2, the display mode supports touch zooming, scrolling, interface switching, voice prompts, and state indicator lights, and other interactive feedback modes to enhance operation experience and data understanding ability.

[0101] According to user operation, report data containing measurement results is generated, including the following steps D3-D5:

[0102] D3: After analysis is completed, the short circuit parameters and analysis results are automatically archived.

[0103] D4: According to the user-selected report type, the corresponding report template is dynamically loaded, and the template format is encapsulated into report data.

[0104] D5: The generated report data is saved in a structured data format.

[0105] Specifically, in step D4, the report template includes simple report, standard report, full report and custom report, and the content covers basic parameters, detailed features, evaluation suggestions and other information; in step D5, the structured data format can be PDF (portable document format), Excel (spreadsheet format) or other structured data format, and after saving, it supports local preview, export to external devices or upload to remote servers for subsequent archiving and analysis.

[0106] Further, in step S5, dynamically adjusting the running state according to the current task type and energy consumption state includes the following steps E1-E3:

[0107] E1: Based on the processing requirements of the current measurement task and the resource usage strategy, a running state set with differentiated processing capacity and power consumption level is constructed.

[0108] E2: Real-time monitoring of current task load, battery power and external power connection state, and based on the remaining power and task priority, determining whether to switch the running state.

[0109] E3: Dynamically adjusting the processor frequency, power module activation and peripheral activation state according to the switched running state to adapt to the current running state.

[0110] In the embodiment of the present application, in step E2, if the running state set adopts a fixed level type running mode division, then determining whether to switch the running state includes the following steps E111-E113:

[0111] E111: Four running states of full function mode, standard mode, energy saving mode and sleep mode are preset, and each mode has differences in processing capacity, energy consumption level and peripheral activation range.

[0112] E112: Select the corresponding running mode according to the complexity of the measurement task, for example, enable the full function mode when executing the short circuit parameter fast measurement, and switch to the sleep mode in standby state.

[0113] E113: Automatically start and stop the processor core, power module and external interface in different running states to balance performance and energy consumption.

[0114] In an optional embodiment, if the running state set adopts a task-aware type running mode division, then determining whether to switch the running state includes the following steps E121-E123:

[0115] E121: Dynamically divide the running state set according to the real-time attributes of the task (such as calculation amount, task duration, result output requirement), and the number and type of states change with the characteristics of the task.

[0116] E122: When the task is a high-priority real-time measurement, the running state is automatically adjusted to a high-performance mode; when the task is a low-priority long-time monitoring, the running state is automatically adjusted to an energy-saving mode.

[0117] E123: Through a task-aware switching mechanism, the accuracy of critical measurement tasks is ensured while unnecessary energy consumption is minimized.

[0118] In another optional embodiment, if the running state set is based on a dynamic running mode division of continuous power consumption adjustment, determining whether to switch the running state includes the following steps E131-E133:

[0119] E131: Instead of presetting a fixed level mode, a continuous mapping model of power consumption and performance is established, and the processing capacity and power consumption level are associated as an adjustable curve.

[0120] E131: Real-time collection of battery power, task load and temperature state, and selection of the optimal working point on the power consumption-performance curve.

[0121] E131: According to the selected working point, dynamically adjust the processor voltage frequency, module start-stop and peripheral device activation level, so as to realize continuous energy consumption self-adaptive adjustment.

[0122] It should be noted that the running mode is dynamically adjusted according to the current task characteristics, and various states are intelligently switched to reduce resource waste while ensuring task completion quality, to meet long-time field operation requirements; combined with the judgment mechanism, the power consumption and processing capacity are automatically balanced, and the overall intelligence and adaptability of the device are improved.

[0123] Embodiment 3, which is different from the first two embodiments, is a short-circuit parameter measurement and analysis system, which comprises a data acquisition module, a data processing module, a short-circuit parameter calculation module, a visualization module and an adjustment module; the data acquisition module is used for synchronously sampling the voltage signal and the current signal in the measured line, and performing conditioning and conversion on the obtained sampling signal to generate original digital quantity; the data processing module is used for calibrating the original digital quantity to obtain calibrated effective measurement data; the short-circuit parameter calculation module calculates the short-circuit parameters based on the effective measurement data, the short-circuit parameters including short-circuit current, short-circuit impedance and short-circuit power, and the calculation process includes fundamental wave extraction and phasor analysis; the visualization module is used for visually displaying the calculated short-circuit parameters, and generating report data containing measurement results according to user operation; the adjustment module dynamically adjusts the running state according to the current task type and energy consumption state during the measurement process.

[0124] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the parts of the technical solutions that essentially contribute to the prior art or the parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0125] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a list of executable instructions for implementing logic functions, which can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus or device, such as a computer-based system, a system including a processor or other system that can fetch the instructions from the instruction execution system, apparatus or device and execute the instructions, or in conjunction with these instructions execution systems, apparatus or devices. For the purpose of this specification, the "computer-readable medium" can be any device that can contain, store, communicate, propagate or transport programs for use by or in connection with an instruction execution system, apparatus or device, or in conjunction with these instruction execution systems, apparatus or devices.

[0126] More specific examples (non-exhaustive list) of the computer-readable medium include the following: an electrical connection having one or more wires (electrical devices), a portable computer diskette (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium can even be paper or other suitable medium on which the program can be printed, because the program can be electronically obtained, for example, by optical scanning of the paper or other medium, followed by editing, interpreting or otherwise processing, if necessary, in other suitable ways, to be electronically obtained and then stored in the computer memory.

[0127] It should be understood that portions of the present application can be implemented in hardware, software, firmware, or combinations thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, implementation can be with a combination of any of the following technologies, which are all well known in the art: discrete logic circuitry having logic gates for implementing logic functions upon an application of data signals, application specific integrated circuits having appropriate combinational logic gates, programmable gate arrays (PGA), field programmable gate arrays (FPGA), and the like.

[0128] It should be noted that the above examples are only used to illustrate the technical solutions of the present application but not limit the present application. Although the present application is described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the present application, and all should be covered in the scope of the claims of the present application.

Claims

1. A method for measuring and analyzing short-circuit parameters, characterized in that: include, The voltage and current signals in the circuit under test are sampled synchronously, and the sampled signals are conditioned and converted to generate raw digital quantities. The original digital quantity is calibrated to obtain calibrated valid measurement data; Short-circuit parameters are calculated based on effective measurement data. These parameters include short-circuit current, short-circuit impedance, and short-circuit power. The calculation process includes fundamental frequency extraction and phasor analysis. The calculated short-circuit parameters are visualized, and report data containing measurement results is generated based on user operations. During the measurement process, the operating status is dynamically adjusted according to the current task type and energy consumption status.

2. The method for measuring and analyzing short-circuit parameters as described in claim 1, characterized in that: The synchronous sampling of voltage and current signals in the circuit under test includes... A unified sampling clock signal is used to control the voltage sampling channel and the current sampling channel in a unified manner, so that each channel starts the sampling action at the same sampling time; During the sampling process, the instantaneous values ​​of each voltage and current signal are simultaneously acquired through a parallel sampling mechanism; After sampling is completed, the voltage and current signals sampled from each channel are compared and verified with a time reference to ensure that the voltage and current signals correspond consistently under the same reference phase.

3. The method for measuring and analyzing short-circuit parameters as described in claim 2, characterized in that: The conditioning and conversion of the obtained sampled signal includes, The acquired voltage and current signals are isolated and amplified to suppress common-mode interference and keep the amplitude of the measured signal within the specified range; Bandwidth limiting is applied to isolated and amplified signals; The bandwidth-limited analog signal is input into the analog-to-digital converter unit for high-resolution analog-to-digital conversion to generate the original digital signal.

4. The method for measuring and analyzing short-circuit parameters as described in claim 3, characterized in that: Calibrate the raw digital quantity, including: A set of calibration coefficients is preset to describe the characteristics of measurement error; Error modeling and compensation processing are performed on the original digital quantities based on calibration coefficients, and the original values ​​of voltage and current in the original digital quantities are corrected using the calibration model. The voltage and current values ​​output by the calibration model are used as valid measurement data.

5. The method for measuring and analyzing short-circuit parameters as described in claim 4, characterized in that: The calculation of short-circuit parameters based on valid measurement data includes, The fundamental components of the calibrated voltage and current signals are extracted to obtain the amplitude and phase information of the main frequency components of each signal, and the fundamental phasor expressions of voltage and current are constructed. Based on the fundamental voltage phasor and the fundamental current phasor, the phasor difference before and during the fault is calculated, and then the short-circuit current drop and short-circuit voltage drop are obtained. Based on the phasor difference, calculate the short-circuit impedance and short-circuit apparent power in sequence.

6. The method for measuring and analyzing short-circuit parameters as described in claim 5, characterized in that: The step of visualizing the calculated short-circuit parameters includes, The calculated short-circuit parameters are displayed in the measurement interface in a combination of text and graphics. Adjust the display method according to the current operating mode and user input, and analyze the displayed data; The process of generating report data containing measurement results based on user operations includes... After the analysis is completed, the short-circuit parameters and analysis results are automatically archived. Based on the report type selected by the user, the corresponding report template is dynamically loaded and packaged into report data according to the template format; The generated report data is saved in a structured data format.

7. The method for measuring and analyzing short-circuit parameters as described in claim 6, characterized in that: The dynamic adjustment of the operating status based on the current task type and energy consumption status includes, Based on the current measurement task's processing requirements and resource usage strategy, a set of operating states with differentiated processing capabilities and power consumption levels is constructed. Real-time monitoring of current task load, battery level, and external power connection status; and determination of whether to switch running states based on remaining power and task priority. The processor clock speed, power module activation status, and peripheral activation status are dynamically adjusted based on the switched operating status to adapt to the current operating status.

8. A short-circuit parameter measurement and analysis system, employing a short-circuit parameter measurement and analysis method as described in any one of claims 1 to 7, characterized in that: It includes a data acquisition module, a data processing module, a short-circuit parameter calculation module, a visualization module, and an adjustment module; The data acquisition module is used to synchronously sample the voltage and current signals in the circuit under test, and to condition and convert the obtained sampled signals to generate raw digital quantities. The data processing module is used to calibrate the original digital quantity to obtain calibrated valid measurement data; The short-circuit parameter calculation module calculates short-circuit parameters based on effective measurement data. The short-circuit parameters include short-circuit current, short-circuit impedance, and short-circuit power. The calculation process includes fundamental frequency extraction and phasor analysis. The visualization module is used to visualize the calculated short-circuit parameters and generate report data containing measurement results based on user operations. The adjustment module dynamically adjusts its operating status based on the current task type and energy consumption status during the measurement process.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the short-circuit parameter measurement and analysis method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the short-circuit parameter measurement and analysis method according to any one of claims 1 to 7.

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