A ground resistance detection method and system for an electrostatic management tester

Abstract

The invention discloses a grounding resistance detection method and system for an electrostatic management tester, and relates to the field of grounding resistance detection. The technical scheme includes: setting O_p acquisition nodes in parallel on a circuit, acquiring voltage data on each node through a data acquisition device, and performing preliminary processing to acquire an initial data set; using an optimized detection algorithm on the initial data set to convert the voltage data into a comprehensive direct current voltage and a comprehensive alternating current voltage; setting a pre-detection threshold, judging the acquired comprehensive direct current voltage and comprehensive alternating current voltage with the pre-detection threshold, and selecting a mode according to the judgment result. If the mode indicates abnormality, an alarm is issued; if the mode indicates normal, the mode is switched to a resistance detection mode to measure the voltage. The method is suitable for the electrostatic management tester to detect grounding resistance and realize high-quality detection.

Description

Technical Field

[0001] The present invention relates to the field of grounding resistance detection, and more specifically, to a grounding resistance detection method and system for an electrostatic management tester. Background Art

[0002] When factories manage static electricity, they will regularly use static electricity management testers to check the performance of items, including the ground resistance value of the test equipment, the resistance value of the static electricity ground wire, the resistance value of the power ground wire, etc. When using the resistance range of the static electricity management tester to test resistance, workers sometimes accidentally plug in 220V AC high voltage, causing damage to expensive precision instruments, interrupting work and causing trouble, and also causing unnecessary maintenance costs and maintenance time.

[0003] During the resistance detection process, voltage measurement is only performed at a single or a few points, which cannot fully reflect the voltage distribution of the entire circuit, especially for complex circuits, which are prone to missed detection or misjudgment. When voltage anomalies are detected, it is often impossible to provide timely feedback or take protective measures, which may cause the circuit to be damaged due to abnormal voltage. During the voltage detection process, the speed and amplitude of voltage fluctuations may vary greatly. The traditional fixed window processing method cannot adapt to these changes, which may easily lead to voltage anomalies being ignored or misjudged. For complex circuits, the voltage data of multiple nodes may vary greatly, making it difficult to accurately reflect the overall operating status of the circuit, especially when facing voltage fluctuations. It is difficult to identify which nodes have more representative voltage data.

[0004] Therefore, based on the above problems, it is necessary to design the ground resistance detection of the electrostatic management tester. Summary of the invention

[0005] In view of the problems existing in the prior art, the purpose of the present invention is to provide a ground resistance detection method and method for an electrostatic management tester, so as to achieve high-quality detection of the ground resistance of the electrostatic management tester.

[0006] To achieve the above object, the present invention provides the following technical solution: The ground resistance detection method of the static management tester comprises:

[0007] Step S1: Setting O_p acquisition nodes in parallel on the circuit, acquiring voltage data on each node through a data acquisition device, and performing preliminary processing to acquire an initial data set;

[0008] Step S2: using an optimized detection algorithm on the initial data set to convert the voltage data into a comprehensive DC voltage and a comprehensive AC voltage;

[0009] Step S3: Set the advance detection threshold, judge the obtained comprehensive DC voltage and comprehensive AC voltage with the advance detection threshold, and select the mode according to the judgment result. If the mode indicates abnormality, an alarm is issued. If the mode indicates normal, switch to the resistance detection mode and measure the voltage.

[0010] Preferably, the method of acquiring voltage data on each node through a data acquisition device includes:

[0011] Set O_p acquisition nodes to be evenly distributed on the circuit;

[0012] Within the preset time t1, set the sampling frequency , and then calculate the sampling length ;

[0013] The parallel acquisition method is to collect data at each node simultaneously. The collected data points are stored in O_p independent channels.

[0014] Preferably, the preliminary processing method comprises:

[0015] The collected voltage data is initially normalized and standardized to obtain an initial data set.

[0016] Preferably, the method of converting the voltage data into the integrated DC voltage and the integrated AC voltage by using an optimized detection algorithm on the initial data set comprises:

[0017] The voltage data collected from O_p acquisition nodes is recorded as , dynamically adjust the sliding window size to W×L according to the change of voltage data;

[0018] Use the sliding window to perform FFT transformation on the voltage data within the preset time t1 to obtain the spectrum , calculate the initial DC voltage output of the sliding window and the initial AC voltage ;

[0019] in, represents the node index, represents the sampling frequency index, represents an imaginary number, Indicates Node The voltage data obtained by the sampling frequency is Indicates Node The spectrum obtained by sampling frequency;

[0020] Use a sliding window to perform initial DC voltage analysis on each sampling length of the voltage data in the initial data set. and the initial AC voltage Obtain the integrated DC voltage at each node and AC voltage ,Right now , ,in, , represents the weight, Indicates The initial DC voltage obtained by sampling, Indicates The initial AC voltage obtained by sampling;

[0021] Collect the combined DC voltage at all nodes and AC voltage , a clustering algorithm is used to obtain the integrated DC voltage and the integrated AC voltage within the preset time t1.

[0022] Preferably, the method for dynamically adjusting the sliding window size to W×L according to the change of voltage data includes:

[0023] Set the initial sliding window size to , represents the initial step length, Indicates the initial width;

[0024] Calculate the variance within the current sliding window and spectral entropy , calculate the variance of the voltage data in each sliding window ;

[0025] in, Indicates the first Voltage data, Indicates the first spectrum, represents the mean value of the voltage data in the sliding window, Indicates the number of voltage data in the sliding window;

[0026] Setting the variance threshold and entropy threshold , and the unit change value and , the variance in the current sliding window and spectral entropy Make judgments;

[0027] like and , adjust the step size of the sliding window ,width ;

[0028] like and , adjust the step size of the sliding window ,width ;

[0029] like and , adjust the step size of the sliding window ,width ;

[0030] like and , adjust the step size of the sliding window ,width ;

[0031] Update the initial sliding window is W×L, and , , that is, W×L is the current next sliding window size;

[0032] in, and represents the maximum and minimum step lengths, and Indicates the maximum and minimum width.

[0033] Preferably, the method of obtaining the integrated DC voltage and the integrated AC voltage within the preset time t1 by using the clustering algorithm includes:

[0034] Step A1: Extract the combined DC voltage on all nodes The maximum value in and minimum value ;

[0035] Step A2: Preset to fuse DC voltage Divided into K_q1 clusters, for the fusion DC voltage , set the initial cluster center of each cluster ,in, Indicates The initial cluster centers of the clusters, Represents the index of the cluster;

[0036] Step A3: Calculate the distance between each fused DC voltage and the initial cluster center, assign each fused DC voltage to the cluster to which the nearest initial cluster center belongs, extract the number of fused DC voltages in each cluster, and if the number is less than the number threshold, dissolve the block, and refill the dissolved fused DC voltage into the block to which other initial cluster centers belong, thereby adaptively updating and adjusting the preset K_q1 cluster number;

[0037] Step A4: updating each initial cluster center to the mean value of all fused DC voltages in the corresponding cluster, and repeating step A3 until the updated number of clusters reaches a preset range;

[0038] Step A5: Extract the value and quantity of the integrated DC voltage in each cluster and calculate the integrated DC voltage on all nodes ,in, Indicates The number of fused DC voltages in the cluster, represents the amount of integrated DC voltage in all nodes, Indicates The cluster center of the fused DC voltage in the cluster, represents the index of the fused DC voltage, represents the total number of clusters;

[0039] Step A6: For AC voltage, repeat steps A1 to A5 to obtain the integrated AC voltage on all nodes .

[0040] Preferably, the setting of the advance detection threshold includes:

[0041] In setting the DC voltage threshold, the positive voltage pre-detection threshold is 1.6V, and the negative voltage pre-detection threshold is -0.4V; in setting the AC voltage threshold, the voltage pre-detection threshold is 1.2V;

[0042] If the integrated DC voltage is greater than 1.6V or less than -0.4V, or the integrated AC voltage is greater than 1.2V, it indicates that the detection is abnormal, and the voltage measurement mode is maintained, the suppression mechanism is used for circuit protection, and an alarm prompt is issued to display the current integrated DC voltage or integrated AC voltage;

[0043] If the integrated DC voltage is less than or equal to 1.6V or greater than or equal to -0.4V, or the integrated AC voltage is less than or equal to 1.2V, it means the detection is normal and switches to the resistance detection mode. After the resistance measurement is completed, switch back to the voltage measurement mode.

[0044] Preferably, the method for circuit protection using a suppression mechanism comprises:

[0045] When an abnormality is detected, the data acquisition device is used again to collect the voltage data of O_p acquisition nodes in the circuit, and the acquisition method is to obtain it in time sequence within the time t2, thereby obtaining an instantaneous data set;

[0046] Set up a ring buffer to store the collected instantaneous data set;

[0047] The voltage data in the instantaneous data set is read in time sequence and the curve is fitted. , set a slope threshold, if the slope If the slope is greater than the slope threshold, it indicates that the voltage data is abnormal and the circuit protection is triggered. If it is less than the slope threshold, it means that the voltage data is normal and the circuit protection is not triggered.

[0048] Preferably, the circuit protection is composed of a solid-state relay and a transient voltage suppressor.

[0049] A ground resistance detection system of an electrostatic management tester includes:

[0050] Data acquisition and processing module: The voltage data on O_p acquisition nodes are acquired in parallel through the data acquisition equipment, and the voltage data is preliminarily processed to obtain the initial data set;

[0051] Data optimization module: uses the optimization detection algorithm to process the initial data set and convert the voltage data into comprehensive DC voltage and comprehensive AC voltage;

[0052] Threshold judgment module: sets the advance detection threshold, and judges the acquired comprehensive DC voltage and comprehensive AC voltage with the advance detection threshold;

[0053] Control output module: If the judgment mode is abnormal, an alarm will be issued; if the judgment mode is normal, it will switch to resistance detection mode and measure the voltage.

[0054] Compared with the prior art, the present invention has the following beneficial effects:

[0055] By evenly distributing multiple acquisition nodes (O_p acquisition nodes) on the circuit, the voltage data of each node is collected in parallel, covering the key parts of the entire circuit, no longer relying on a single point or a few sampling points. Combined with dynamically adjusted sliding windows and FFT spectrum analysis, the DC and AC components can be accurately separated, clearly reflecting the subtle changes in voltage data. This can effectively avoid missed detection or false detection, and significantly improve the accuracy and coverage of voltage detection.

[0056] The dynamic sliding window adjustment mechanism can dynamically adjust the size of the sliding window according to the variance and spectral entropy changes of the voltage data. When the voltage fluctuates violently, the system automatically reduces the sliding window to make the detection more sensitive; when the voltage is relatively stable, the window automatically increases to reduce the amount of processing calculations. This adaptive mechanism improves the flexibility and real-time performance of detection, which can respond quickly when the voltage fluctuates violently and save computing resources when the voltage is stable.

[0057] By setting the advance detection threshold, the system can quickly determine whether the combined DC voltage and AC voltage are beyond the safe range, issue an alarm signal in time for abnormal situations, and start the circuit protection mechanism. Especially when the voltage is abnormal, the system can immediately trigger the voltage suppressor or solid-state relay, cut off the circuit or take other protective measures to avoid further damage to the equipment, greatly improving the safety and reliability of the electrical system.

[0058] The voltage data of each node is intelligently classified through the clustering algorithm, similar voltage data is divided into different clusters, and the comprehensive DC voltage and AC voltage are calculated based on the center value of the cluster. This clustering processing method enables the entire system to process voltage data more intelligently, and can adaptively update the cluster center and automatically adjust the detection strategy, especially when facing complex circuits or multi-point sampling, and can accurately judge the overall health status of the circuit.

[0059] It can not only collect and process voltage data in real time, but also store historical data through a ring buffer to support the backtracking and analysis of instantaneous voltage fluctuations. The fitting and slope judgment of historical data further improve the accuracy of circuit abnormality detection, especially when voltage fluctuations are frequent or overvoltage conditions occur suddenly. It can predict the health status of the circuit through the cumulative trend of historical data. When voltage abnormalities occur, it can not only provide real-time response, but also perform trend prediction and fault prevention through historical data analysis.

[0060] It reduces false alarms and unnecessary circuit protection actions, improves the stability and continuous operation capability of the system, and can not only detect abnormal voltage fluctuations, but also reflect different types of fault modes by integrating changes in DC voltage and AC voltage. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 The present invention provides a structural schematic diagram of a ground resistance detection system of an electrostatic management tester;

[0062] Figure 2 It is a schematic diagram of a method of a ground resistance detection system applied to an electrostatic management tester in the present invention. DETAILED DESCRIPTION

[0063] Below, the exemplary embodiments according to the present application will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application, and it should be understood that the present application is not limited to the exemplary embodiments described here.

[0064] Embodiment 1

[0065] Reference Figure 1 and Figure 2 Embodiment 1 further illustrates a ground resistance detection method of an electrostatic management tester proposed in the present invention.

[0066] When factories manage static electricity, they will regularly use static electricity management testers to check the performance of items, including the ground resistance value of the test equipment, the resistance value of the static electricity ground wire, the resistance value of the power ground wire, etc. When using the resistance range of the static electricity management tester to test resistance, workers sometimes accidentally plug in 220V AC high voltage, causing damage to expensive precision instruments, interrupting work and causing trouble, and also causing unnecessary maintenance costs and maintenance time.

[0067] Therefore, the present invention designs a scheme, in which a solid-state relay is connected in series between the red test lead and the resistance measurement circuit. After the solid-state relay is turned on, there is a fixed and very small on-resistance, which does not affect the measurement accuracy. The relay is normally closed and connected to the voltage acquisition end, and is normally open and connected to the resistance measurement end. The voltage acquisition circuit has a DC voltage and an AC voltage measurement circuit. Because the measurement principles are different, a large voltage divider resistor in series with the resistance measurement circuit will affect the measurement accuracy, so high voltage will damage the resistance measurement circuit. When we start the resistance measurement function, the circuit first measures the voltage in the circuit. We take half the voltage of the tester measurement circuit, 1.6V, as a threshold. When the input DC positive voltage is higher than 1.6V, the negative voltage is lower than -0.4V (the negative voltage will raise the measurement circuit voltage), and the AC voltage is higher than 1.2V as a threshold. When the voltage in the circuit is greater than the threshold, the circuit keeps reading the current voltage and prompts an alarm. When it is lower than this threshold, the relay switches to the resistance measurement circuit, quickly measures the resistance of the circuit loop, and then the relay switches back to the voltage measurement circuit to end the measurement. In order to prevent instantaneous pulses of the line during the resistance measurement process, we also add a TVS double protection circuit to the resistance measurement input end.

[0068] The main purpose of the above scheme is to protect the precision resistance measurement circuit in the static management tester to prevent damage caused by connecting the equipment to high voltage (such as 220V power supply) due to misoperation. By adding solid-state relays and voltage monitoring protection mechanisms to the circuit, it is possible to effectively prevent high voltage from damaging the resistance measurement circuit without affecting the measurement accuracy. The following is a detailed analysis and summary of the scheme:

[0069] Step S1: Setting O_p acquisition nodes in parallel on the circuit, acquiring voltage data on each node through a data acquisition device, and performing preliminary processing to acquire an initial data set;

[0070] The method of obtaining the voltage data on each node through the data acquisition device includes:

[0071] Set O_p (for example, 8) acquisition nodes to be evenly distributed on the circuit so as to fully cover the voltage signal.

[0072] Set the sampling frequency within a preset time t1 (e.g., 1, 10, or 30 seconds) (e.g., 10kHz), and then calculate the sampling length ;(For example, point).

[0073] The parallel acquisition method is to collect data at each node simultaneously. Voltage data (voltage value), the collected data points are stored in O_p independent channels;

[0074] Initial treatment methods include:

[0075] The collected voltage data is initially normalized and standardized to obtain an initial data set.

[0076] Data acquisition devices (such as voltage detection meters) use multi-channel data acquisition cards (DAQ) or connect multiple single-channel DAQs in parallel.

[0077] Step S2: using an optimized detection algorithm on the initial data set to convert the voltage data into a comprehensive DC voltage and a comprehensive AC voltage;

[0078] For multiple voltage data on multiple acquisition nodes, the most critical challenge is how to efficiently process a large amount of data to obtain the integrated DC voltage and integrated AC voltage of each node while ensuring the real-time and accuracy of the system. Multiple acquisition nodes form a large amount of data for parallel acquisition, which requires consideration of the computational complexity and efficiency of the algorithm. Each node may have different voltage characteristics (such as frequency, noise level, etc.), so the algorithm needs to have a certain degree of adaptability, and should minimize detection delays to quickly derive DC and AC components.

[0079] Voltage detection speed is an important indicator in resistance measurement systems, especially at high voltages, where voltage changes need to be detected quickly to avoid affecting system response time. Optimizing the detection algorithm can reduce detection delays and increase voltage detection speed.

[0080] Methods for converting voltage data into integrated DC voltage and integrated AC voltage using an optimized detection algorithm on an initial data set include:

[0081] The voltage data collected from O_p acquisition nodes is recorded as , dynamically adjust the sliding window size to W×L according to the change of voltage data;

[0082] Use the sliding window to perform FFT transformation on the voltage data within the preset time t1 to obtain the spectrum , calculate the initial DC voltage output of the sliding window and the initial AC voltage , , It is a sliding window The DC component in Represents a sliding window The initial DC voltage of the output, , It is the spectrum In the sliding window The AC component within Represents a sliding window The initial AC voltage at the output, where represents the node index, represents the sampling frequency index, represents an imaginary number, Indicates Node The voltage data obtained by the sampling frequency is Indicates Node The spectrum obtained by sampling frequency;

[0083] Use a sliding window to perform initial DC voltage analysis on each sampling length of the voltage data in the initial data set. and the initial AC voltage Obtain the integrated DC voltage at each node and AC voltage ,Right now , ,in, , represents the weight, Indicates The initial DC voltage obtained by sampling, Indicates The initial AC voltage obtained by sampling;

[0084] Among them, the weight The method to obtain is , weight The method to obtain is , , Respectively The initial DC voltage in the sampling length The average value of the initial AC voltage The average value of .

[0085] Collect the combined DC voltage at all nodes and AC voltage , a clustering algorithm is used to obtain the integrated DC voltage and the integrated AC voltage within the preset time t1.

[0086] Fast Fourier transform is used to convert voltage signals from time domain to frequency domain and analyze AC and DC components. DC components correspond to components with zero frequency, and AC components correspond to other frequency components. Fast FFT greatly reduces computational complexity compared to traditional Fourier transform, effectively improving detection speed and real-time performance. Sliding window technology (such as Hann or Hamming sliding window) is used to reduce spectrum leakage and improve frequency domain resolution. For real-time signal processing, the sliding window FFT method is used to achieve continuous signal monitoring.

[0087] The method of dynamically adjusting the sliding window size to W×L according to the change of voltage data includes:

[0088] Set the initial sliding window size to , represents the initial step length, Represents the initial width; the initial sliding window size can be pre-set based on experience or experimental data analysis, and the data length of each sliding window should be sufficient to obtain reliable spectral entropy and variance.

[0089] Calculate the variance within the current sliding window and spectral entropy , calculate the variance of the voltage data in each sliding window ,in, Indicates the first Voltage data, Indicates the first spectrum, represents the mean value of the voltage data in the sliding window, Indicates the number of voltage data in the sliding window;

[0090] Setting the variance threshold and entropy threshold , and the unit change value and , variance threshold Used to judge the severity of signal changes, entropy threshold Used to determine the diversity of the signal spectrum and the variance within the current sliding window and spectral entropy Make judgments;

[0091] like and , adjust the step size of the sliding window ,width ;

[0092] This scheme is used for drastic signal changes. The adjustment strategy is to reduce the window step size to improve the time resolution and reduce the width to obtain a faster response.

[0093] like and , adjust the step size of the sliding window ,width ;

[0094] This scheme is used for signals with stable changes. The adjustment strategy is to increase the window step size to improve the frequency resolution and increase the width to reduce the computational burden.

[0095] like and , adjust the step size of the sliding window ,width ;

[0096] This scheme is used for local changes, and the adjustment strategy is to moderately reduce the window step size to focus on signal changes, and maintain or moderately reduce the width to maintain response speed.

[0097] like and , adjust the step size of the sliding window ,width ;

[0098] This scheme is used for spectral complexity, and the adjustment strategy is to increase the window step size to capture more frequency components and maintain or moderately increase the width to reduce the computational burden.

[0099] Update the initial sliding window is W×L, and , , that is, W×L is the current next sliding window size;

[0100] in, and represents the maximum and minimum step lengths, and Indicates the maximum and minimum width.

[0101] The window can be dynamically adjusted according to the variance and spectral entropy. The adaptive adjustment mechanism can effectively improve the efficiency and accuracy of signal processing and ensure the best analysis results under different signal characteristics.

[0102] The method of obtaining the integrated DC voltage and the integrated AC voltage within the preset time t1 by using the clustering algorithm includes:

[0103] Step A1: Extract the combined DC voltage on all nodes The maximum value in and minimum value ;

[0104] Step A2: Preset to fuse DC voltage Divided into K_q1 clusters, for the fusion DC voltage , set the initial cluster center of each cluster ,in, Indicates The initial cluster centers of the clusters, Represents the index of the cluster;

[0105] Step A3: Calculate the distance between each fused DC voltage and the initial cluster center, assign each fused DC voltage to the cluster to which the nearest initial cluster center belongs, extract the number of fused DC voltages in each cluster, and if the number is less than the number threshold, dissolve the block, and refill the dissolved fused DC voltage into the block to which other initial cluster centers belong, thereby adaptively updating and adjusting the preset K_q1 cluster number;

[0106] Step A4: updating each initial cluster center to the mean value of all fused DC voltages in the corresponding cluster, and repeating step A3 until the updated number of clusters reaches a preset range;

[0107] Step A5: Extract the value and quantity of the integrated DC voltage in each cluster and calculate the integrated DC voltage on all nodes ,in, Indicates The number of fused DC voltages in the cluster, represents the amount of integrated DC voltage in all nodes, Indicates The cluster center of the fused DC voltage in the cluster, represents the index of the fused DC voltage, represents the total number of clusters;

[0108] Step A6: For AC voltage, repeat steps A1 to A5 to obtain the integrated AC voltage on all nodes .

[0109] Adaptive adjustment of the number of clusters enables the algorithm to change dynamically according to the distribution and characteristics of the actual data. This means that the algorithm can cope with data fluctuations in different scenarios and conditions, thereby improving the accuracy of clustering results. By dissolving clusters with a number less than the threshold, the algorithm effectively removes noise and outliers, avoids the negative impact on the comprehensive voltage calculation, and ensures that the clustering results are more representative. Adaptive adjustment reduces the reliance on the preset number of clusters, allowing the algorithm to process data more efficiently, especially when the amount of data is large, it can significantly reduce the computational complexity. The update mechanism of the cluster center provides stability for data processing, and the clustering results can maintain high reliability even when there are slight changes in the data set.

[0110] In general, the design of these two aspects not only improves the performance of the algorithm, but also enhances the ability to process complex voltage data, making the acquired comprehensive DC and AC voltages more accurate and effective.

[0111] Step S3: setting a pre-detection threshold, judging the acquired integrated DC voltage and integrated AC voltage against the pre-detection threshold, and selecting a mode according to the judgment result. If the mode indicates abnormality, an alarm is issued. If the mode indicates normal, switching to a resistance detection mode to measure the voltage;

[0112] The settings of the advance detection threshold include:

[0113] When setting the DC voltage threshold, the positive voltage detection threshold is 1.6V, and the negative voltage detection threshold is -0.4V; when setting the AC voltage threshold, the voltage detection threshold is 1.2V;

[0114] If the integrated DC voltage is greater than 1.6V or less than -0.4V, or the integrated AC voltage is greater than 1.2V, it indicates that the detection is abnormal. At this time, the ESD management tester will remain in the voltage measurement mode, use the suppression mechanism for circuit protection, and issue an alarm prompt to display the current integrated DC voltage or integrated AC voltage;

[0115] The alarm processing mainly involves checking whether it is mistakenly connected to live equipment or there is other high-voltage interference in the factory, rechecking the wiring, and ensuring that the test object has been powered off or the static electricity has been released.

[0116] If the integrated DC voltage is less than or equal to 1.6V or greater than or equal to -0.4V, or the integrated AC voltage is less than or equal to 1.2V, it means that the detection is normal. The tester starts the solid-state relay, switches the measurement circuit to the resistance detection mode, and switches back to the voltage measurement mode after the resistance measurement is completed.

[0117] Adding a transient voltage suppressor (TVS) to the resistance measurement input provides double protection for the measurement circuit to prevent high voltage transients from damaging the circuit. However, attention should be paid to the clamping voltage and response time of the TVS to ensure that it can respond quickly to transient high voltage pulses without affecting the normal resistance measurement too much.

[0118] Methods of using suppression mechanisms for circuit protection include:

[0119] When an abnormality is detected, the data acquisition device is used again to collect the voltage data of O_p collection nodes in the circuit, and the collection method is to obtain it in time sequence within the t2 time, and then obtain the instantaneous data set; in order to be able to respond quickly to transient high voltage, the sampling rate must be high enough to capture the rising edge and duration of the transient pulse, and the t2 time must be short enough to reduce the reaction time.

[0120] In a microcontroller or processor, a circular buffer is set up to store the collected instantaneous data set to ensure that important transient data is not lost.

[0121] The voltage data in the instantaneous data set is read in time sequence and the curve is fitted. , set a slope threshold, if the slope If the slope is greater than the slope threshold, it indicates that the voltage data is abnormal and the circuit protection is triggered. If it is less than the slope threshold, it means that the voltage data is normal and the circuit protection is not triggered;

[0122] curve middle, Corresponding voltage data, Corresponding to the time sequence, represents the slope, Represents a real number.

[0123] Circuit protection is provided by solid state relays and transient voltage suppressors.

[0124] When the voltage is close to the threshold, the relay is frequently switched, resulting in circuit instability or inaccurate measurement. Therefore, a certain hysteresis mechanism is added for adjustment.

[0125] Embodiment 2

[0126] Reference Figure 1 and Figure 2 , Example 2 further illustrates a ground resistance detection method of an electrostatic management tester proposed by the present invention.

[0127] A method for detecting ground resistance of an electrostatic management tester comprises the following steps:

[0128] Step S1: Setting O_p acquisition nodes in parallel on the circuit, acquiring voltage data on each node through a data acquisition device, and performing preliminary processing to acquire an initial data set;

[0129] Step S2: using an optimized detection algorithm on the initial data set to convert the voltage data into a comprehensive DC voltage and a comprehensive AC voltage;

[0130] Step S3: Set the advance detection threshold, judge the obtained comprehensive DC voltage and comprehensive AC voltage with the advance detection threshold, and select the mode according to the judgment result. If the mode indicates abnormality, an alarm is issued. If the mode indicates normal, switch to the resistance detection mode and measure the voltage.

[0131] A ground resistance detection system for an electrostatic management tester, and a ground resistance detection method for an electrostatic management tester include:

[0132] Data acquisition and processing module: The voltage data on O_p acquisition nodes are acquired in parallel through the data acquisition equipment, and the voltage data is preliminarily processed to obtain the initial data set;

[0133] Data optimization module: uses the optimization detection algorithm to process the initial data set and convert the voltage data into comprehensive DC voltage and comprehensive AC voltage;

[0134] Threshold judgment module: sets the advance detection threshold, and judges the acquired comprehensive DC voltage and comprehensive AC voltage with the advance detection threshold;

[0135] Control output module: If the judgment mode is abnormal, an alarm will be issued; if the judgment mode is normal, it will switch to the resistance detection mode and measure the voltage;

[0136] The modules are connected to each other via wired and / or wireless means.

[0137] In addition, according to the implementation of the present application, the process described in the attached figure of a method for detecting ground resistance of an electrostatic management tester can be implemented as a computer software program. For example, the present application provides a non-transitory machine-readable storage medium, which stores machine-readable instructions, and the machine-readable instructions can be executed by a processor to execute instructions corresponding to the method steps provided in the present application. Of course, the architecture shown in the attached figure of a method for detecting ground resistance of an electrostatic management tester is only exemplary. When implementing different devices, adaptive selection or adjustment can be made according to actual needs.

[0138] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0139] The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technical users in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. A ground resistance detection method for an electrostatic management tester, characterized in that: The ground resistance detection method of the electrostatic management tester includes: Step S1: Setting O_p acquisition nodes in parallel on the circuit, acquiring voltage data on each node through a data acquisition device, and performing preliminary processing to acquire an initial data set; Step S2: using an optimized detection algorithm on the initial data set to convert the voltage data into a comprehensive DC voltage and a comprehensive AC voltage; The method of using an optimized detection algorithm on an initial data set to convert voltage data into a comprehensive DC voltage and a comprehensive AC voltage comprises: The voltage data collected from O_p acquisition nodes is recorded as , dynamically adjust the sliding window size to W×L according to the change of voltage data; Use the sliding window to perform FFT transformation on the voltage data within the preset time t1 to obtain the spectrum , calculate the initial DC voltage output of the sliding window and the initial AC voltage ; in, represents the node index, represents the sampling frequency index, represents an imaginary number, Indicates Node The voltage data obtained by the sampling frequency is Indicates Node The spectrum obtained by sampling frequency; Use a sliding window to perform initial DC voltage analysis on each sampling length of the voltage data in the initial data set. and the initial AC voltage Obtain the integrated DC voltage at each node and AC voltage ,Right now , ,in, , represents the weight, Indicates The initial DC voltage obtained by sampling, Indicates The initial AC voltage obtained by sampling, is the sampling length; Collect the combined DC voltage at all nodes and AC voltage , using a clustering algorithm to obtain a comprehensive DC voltage and a comprehensive AC voltage within a preset time t1; The method for dynamically adjusting the sliding window size to W×L according to the change of voltage data includes: Set the initial sliding window size to , represents the initial step length, Indicates the initial width; Calculate the variance within the current sliding window and spectral entropy , calculate the variance of the voltage data in each sliding window ; in, Indicates the first Voltage data, represents the mean value of the voltage data in the sliding window, Indicates the number of voltage data in the sliding window; Setting the variance threshold and entropy threshold , and the unit change value and , the variance in the current sliding window and spectral entropy Make judgments; Step S3: Set the advance detection threshold, judge the obtained comprehensive DC voltage and comprehensive AC voltage with the advance detection threshold, and select the mode according to the judgment result. If the mode indicates abnormality, an alarm is issued. If the mode indicates normal, switch to the resistance detection mode and measure the voltage.

2. The ground resistance detection method of the electrostatic management tester according to claim 1 is characterized in that: The method for acquiring voltage data on each node through a data acquisition device includes: Set O_p acquisition nodes to be evenly distributed on the circuit; Set the sampling frequency within the preset time t1 , and then calculate the sampling length ; The parallel acquisition method is to collect data at each node simultaneously. The collected data points are stored in O_p independent channels.

3. The ground resistance detection method of the electrostatic management tester according to claim 2 is characterized in that: The method of the preliminary treatment comprises: The collected voltage data is initially normalized and standardized to obtain an initial data set.

4. The ground resistance detection method of the electrostatic management tester according to claim 3 is characterized in that: The method of dynamically adjusting the sliding window size to W×L according to the change of voltage data also includes: like and , adjust the step size of the sliding window ,width ; like and , adjust the step size of the sliding window ,width ; like and , adjust the step size of the sliding window ,width ; like and , adjust the step size of the sliding window ,width ; Update the initial sliding window for ,and , ,Right now is the current next sliding window size; in, and represents the maximum and minimum step lengths, and Indicates the maximum and minimum width.

5. The ground resistance detection method of the electrostatic management tester according to claim 4 is characterized in that: The method of using a clustering algorithm to obtain a comprehensive DC voltage and a comprehensive AC voltage within a preset time t1 includes: Step A1: Extract the combined DC voltage on all nodes The maximum value in and minimum value ; Step A2: Preset to fuse DC voltage Divided into K_q1 clusters, for the fusion DC voltage , set the initial cluster center of each cluster ,in, Indicates The initial cluster centers of the clusters, Represents the index of the cluster; Step A3: Calculate the distance between each fused DC voltage and the initial cluster center, assign each fused DC voltage to the cluster to which the nearest initial cluster center belongs, extract the number of fused DC voltages in each cluster, and if the number is less than the number threshold, dissolve the block, and refill the dissolved fused DC voltage into the block to which other initial cluster centers belong, thereby adaptively updating and adjusting the preset K_q1 cluster number; Step A4: updating each initial cluster center to the mean value of all fused DC voltages in the corresponding cluster, and repeating step A3 until the updated number of clusters reaches a preset range; Step A5: Extract the value and quantity of the integrated DC voltage in each cluster and calculate the integrated DC voltage on all nodes ,in, Indicates The cluster center of the fused DC voltage in the cluster, represents the index of the fused DC voltage, represents the total number of clusters; Step A6: For AC voltage, repeat steps A1 to A5 to obtain the integrated AC voltage on all nodes .

6. The ground resistance detection method of the electrostatic management tester according to claim 5, characterized in that: The setting of the advance detection threshold includes: When setting the DC voltage threshold, the positive voltage detection threshold is 1.6V, and the negative voltage detection threshold is -0.4V; when setting the AC voltage threshold, the voltage detection threshold is 1.2V; If the integrated DC voltage is greater than 1.6V or less than -0.4V, or the integrated AC voltage is greater than 1.2V, it indicates that the detection is abnormal, and the voltage measurement mode is maintained, the suppression mechanism is used for circuit protection, and an alarm prompt is issued to display the current integrated DC voltage or integrated AC voltage; If the integrated DC voltage is less than or equal to 1.6V or greater than or equal to -0.4V, or the integrated AC voltage is less than or equal to 1.2V, it means the detection is normal and switches to the resistance detection mode. After the resistance measurement is completed, switch back to the voltage measurement mode.

7. The ground resistance detection method of the electrostatic management tester according to claim 6, characterized in that: The method for circuit protection using an inhibition mechanism comprises: When an abnormality is detected, the data acquisition device is used again to collect the voltage data of O_p acquisition nodes in the circuit, and the acquisition method is to obtain it in time sequence within the time t2, thereby obtaining an instantaneous data set; Set up a ring buffer to store the collected instantaneous data set; The voltage data in the instantaneous data set is read in time sequence and the curve is fitted. , set a slope threshold, if the slope If the slope is greater than the slope threshold, it indicates that the voltage data is abnormal and the circuit protection is triggered. If it is less than the slope threshold, it means that the voltage data is normal and the circuit protection is not triggered.

8. The ground resistance detection method of the electrostatic management tester according to claim 7, characterized in that: The circuit protection is composed of solid state relays and transient voltage suppressors.

9. A ground resistance detection system for an electrostatic management tester, used to implement the ground resistance detection method for an electrostatic management tester according to any one of claims 1 to 8, characterized in that: The ground resistance detection system of the static management tester includes: Data acquisition and processing module: The voltage data on O_p acquisition nodes are acquired in parallel through the data acquisition equipment, and the voltage data is preliminarily processed to obtain the initial data set; Data optimization module: uses the optimization detection algorithm to process the initial data set and convert the voltage data into comprehensive DC voltage and comprehensive AC voltage; Threshold judgment module: sets the advance detection threshold, and judges the acquired comprehensive DC voltage and comprehensive AC voltage with the advance detection threshold; Control output module: If the judgment mode is abnormal, an alarm will be issued; if the judgment mode is normal, it will switch to resistance detection mode and measure the voltage.

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