Instantaneous grounding fault searching system for direct-current power supply

Abstract

The invention relates to the technical field of direct-current power supply detection, and discloses a direct-current power supply instantaneous grounding fault searching system which realizes accurate acquisition, preprocessing, calculation, analysis and feedback of current data through close cooperation of a plurality of modules. The system not only can provide more comprehensive and accurate data support, but also has real-time performance and flexibility, accurate reference coefficient calculation, a dynamic alarm mechanism and a real-time feedback mechanism enable the system to quickly identify and position faults, delay response, false alarm or missing alarm in a traditional method are avoided, and compared with the prior art, the system has the advantages that the system is easy to popularize and use. According to the system, the fault positioning capacity, the data processing capacity and the response speed are remarkably improved, the stability, the reliability and the fault response capacity of the system are greatly enhanced, and the overall operation efficiency of the power system is optimized.

Description

Technical Field

[0001] The invention relates to the technical field of direct current power supply detection, in particular to a direct current power supply instantaneous ground fault finding system. Background Art

[0002] As an indispensable part of the power system, DC power supply is widely used in various modern devices and systems. It provides stable and reliable energy support for electronic equipment, communication systems, electric vehicles, industrial control systems, etc. Especially in high-precision equipment and critical infrastructure, the stability of DC power supply is crucial to the normal operation of the system. The DC power supply system not only needs to provide stable current during normal operation, but also must be able to quickly diagnose and locate the problem when a fault occurs to avoid affecting the normal operation of the equipment.

[0003] Existing DC power supply fault detection technology is usually based on a single data source for monitoring, such as current, voltage, etc., but when faced with instantaneous ground faults, traditional monitoring methods are powerless. Since instantaneous ground faults are often accompanied by short-term current fluctuations or sudden waveform changes, these changes may be masked by other normal fluctuations or noise signals, resulting in the fault signal being difficult to detect. In addition, the traditional system has limited processing capabilities for signal interference, and it is difficult to effectively suppress external electromagnetic interference or other noise sources, which can easily lead to misjudgment or missed judgment. Due to the lack of multi-dimensional data fusion and dynamic real-time analysis, existing fault location methods often cannot meet the requirements of high-reliability systems for fault detection in terms of accuracy and timeliness.

[0004] Therefore, we propose a DC power supply instantaneous grounding fault detection system to solve the above-mentioned problems. Summary of the invention

[0005] The purpose of the present invention is to provide a system for finding instantaneous ground faults in a DC power supply to solve the problem raised in the above background technology that instantaneous ground faults are often accompanied by short-term current fluctuations or sudden waveform changes, which may be masked by other normal fluctuations or noise signals, resulting in the fault signal being difficult to detect. In addition, the traditional system has limited processing capabilities for signal interference, and it is difficult to effectively suppress external electromagnetic interference or other noise sources, which is prone to misjudgment or missed judgment.

[0006] To achieve the above object, the present invention provides the following technical solutions: a system for finding instantaneous ground faults in a DC power supply, comprising a first acquisition module, a second acquisition module, a data verification module, a data calculation module, a data analysis module and a data feedback module;

[0007] The first acquisition module and the second acquisition module are respectively used to detect the current data and generate a multi-source data set;

[0008] The data verification module is used to preprocess the collected multi-source data set, and reorganize the preprocessed multi-source data set into a first data set, a second data set, and a third data set;

[0009] The data calculation module integrates and calculates the first data set, the second data set and the third data set respectively, so as to generate the first main data reference coefficient Z1, the first sub-data correction coefficient W1, the second main data reference coefficient Z2, the second sub-data correction coefficient W2, the third main data reference coefficient Z3 and the third sub-data correction coefficient W3, and integrates and calculates the first sub-data correction coefficient W1, the second sub-data correction coefficient W2 and the third sub-data correction coefficient W3 into the correction intervention reference coefficient XZJ, and integrates and calculates the first main data reference coefficient Z1, the first sub-data correction coefficient W1, the second main data reference coefficient Z2, the second sub-data correction coefficient W2, the third main data reference coefficient Z3 and the third sub-data correction coefficient W3 into the first node alarm coefficient JDX1 and the second node alarm coefficient JDX2;

[0010] The data analysis module compares the corrected intervention coefficient with the preset first threshold value Y to generate a first comparison result. According to the first comparison result, it is determined whether the first sub-data correction coefficient W1, the second sub-data correction coefficient W2 and the third sub-data correction coefficient W3 need to be intervened in the calculation of the node alarm coefficient. If the first comparison result shows that intervention is required, the first sub-data correction coefficient W1, the second sub-data correction coefficient W2 and the third sub-data correction coefficient W3 are input into the node alarm coefficient calculation formula. If the comparison result is not required, the first sub-data correction coefficient W1, the second sub-data correction coefficient W2 and the third sub-data correction coefficient W3 do not need to be input into the node alarm coefficient. The data analysis module compares the finally generated first node alarm coefficient JDX1 and the second node alarm coefficient JDX2 with the preset second threshold value R respectively to generate a second comparison result. According to the second comparison result, it is determined whether there is a ground fault at the current node and the fault magnitude is divided.

[0011] The data feedback module is used to feed back the second comparison result to the terminal.

[0012] Preferably, the first acquisition module includes a first main information acquisition unit, a second main information acquisition unit and a third main information acquisition unit;

[0013] The first main information acquisition unit is used to collect the current value, current amplitude value and current frequency value of the power supply;

[0014] The second main information acquisition unit is used to collect the voltage value, voltage fluctuation value and voltage phase value of the power supply;

[0015] The third main information acquisition unit is used to collect the load current value, load voltage value and load power value of the power supply;

[0016] The second acquisition module includes a first sub-information acquisition unit, a second sub-information acquisition unit and a third sub-information acquisition unit;

[0017] The first sub-information acquisition unit is used to acquire the current waveform amplitude value, current waveform deviation value and current waveform peak value of the power supply;

[0018] The second sub-information collection unit is used to collect the voltage harmonic amplitude value, voltage harmonic frequency value and spectrum distribution change rate of the power supply;

[0019] The third sub-information collection unit is used to collect the signal time difference, relative current difference and voltage difference of the power supply;

[0020] The current value, current amplitude value, current frequency value, current waveform amplitude value, current waveform deviation value, current waveform peak value, voltage value, voltage fluctuation floating value, voltage phase value, voltage harmonic amplitude value, voltage harmonic frequency value, spectrum distribution change rate, load current value, load voltage value, load power value, signal time difference value, relative current difference value and voltage difference value constitute a multi-source data set.

[0021] Preferably, the data verification module includes a data preprocessing unit and a data sorting unit, the data preprocessing unit is used to preprocess and dimensionlessly transform the data in the multi-source data set, and the data sorting unit reorganizes the processed data into a first data set, a second data set, and a third data set according to regions and timestamps, where different regions are denoted as i1, i2, i3, ..., in, and different timestamps are denoted as 1, 2, 3, ..., n.

[0022] Preferably, the first data includes a current value, a current amplitude value, a current frequency value, a current waveform amplitude value, a current waveform deviation value and a current waveform peak value;

[0023] The current values ​​of area in are recorded as A1, A2, A3, ..., An according to the timestamps;

[0024] The current amplitude values ​​of region in are recorded as B1, B2, B3, ..., Bn according to the timestamps;

[0025] The current frequency values ​​of region in are recorded as C1, C2, C3, ..., Cn according to the timestamps;

[0026] The current waveform amplitude values ​​of region in are recorded as D1, D2, D3, ..., Dn according to the timestamps;

[0027] The current waveform deviation values ​​of region in are recorded as E1, E2, E3, ..., En according to the timestamps;

[0028] The current waveform peaks of region in are recorded as F1, F2, F3, ..., Fn according to the timestamps;

[0029] The second data set includes voltage value, voltage fluctuation floating value, voltage phase value, voltage harmonic amplitude value, voltage harmonic frequency value and frequency spectrum distribution change rate;

[0030] The current values ​​of region in are recorded as G1, G2, G3, ..., Gn according to the timestamps;

[0031] The voltage values ​​of region in are recorded as H1, H2, H3, ..., Hn according to the timestamps;

[0032] Area in is recorded as I1, I2, I3, ..., In according to the timestamp;

[0033] Areas in are recorded as J1, J2, J3, ..., Jn according to the timestamp;

[0034] Area in is recorded as K1, K2, K3, ..., Kn according to the timestamp;

[0035] Areas in are recorded as L1, L2, L3, ..., Ln according to the timestamps;

[0036] The third data set includes a load current value, a load voltage value, a load power value, a signal time difference value, a relative current difference value, and a voltage difference value;

[0037] The load current value of area in is M;

[0038] The load voltage value of area in is N;

[0039] The load power value of area in is 0;

[0040] The signal time differences in area in are recorded as P1, P2, P3, ..., Qn according to the timestamps;

[0041] The relative current differences of the region in are recorded as S1, S2, S3, ..., Sn according to the timestamps;

[0042] The voltage difference values ​​of the area in are recorded as T1, T2, T3, ..., Tn according to the timestamps.

[0043] Preferably, the data calculation module includes a first calculation unit, a second calculation unit and a third calculation unit;

[0044] The first calculation unit is used to calculate and obtain the first sub-data correction coefficient W1, the second sub-data correction coefficient W2, the third sub-data correction coefficient W3 and the correction intervention reference coefficient XZJ;

[0045] The second calculation unit is used to calculate and obtain the first master data reference coefficient Z1, the second master data reference coefficient Z2 and the third master data reference coefficient Z3;

[0046] The third calculation unit is used to calculate and obtain the first node alarm coefficient JDX1 and the second node alarm coefficient JDX2.

[0047] Preferably, the first calculation unit calculates and obtains the first sub-data correction coefficient W1, the second sub-data correction coefficient W2, the third sub-data correction coefficient W3 and the correction intervention reference coefficient XZJ respectively through the following formulas;

[0048]

[0049]

[0050]

[0051] XZJ=g1×W1+g2×W2+g3×W3;

[0052] Where: n is the total number of timestamps, u is the u-th timestamp;

[0053] Du, Eu, Fu, Ju, Ku, Lu, Pu, Su and Tu are the current waveform amplitude value, current waveform deviation value, current waveform peak value, voltage harmonic amplitude value, voltage harmonic frequency value, spectrum distribution change rate, signal time difference value, relative current difference value and voltage difference value at the u-th timestamp respectively;

[0054] a1, a2, a3, b1, b2, b3, c1, c2, c3, g1, g2, and g3 are weight values, and the values ​​of a1, a2, a3, b1, b2, b3, c1, c2, c3, g1, g2, and g3 are adjusted and set by the user.

[0055] Preferably, the second calculation unit calculates and obtains the first master data reference coefficient Z1, the second master data reference coefficient Z2 and the third master data reference coefficient Z3 respectively by the following formulas;

[0056]

[0057]

[0058] Z3=f1×M+f2×N+f3×O;

[0059] Where: n is the total number of timestamps, u is the u-th timestamp;

[0060] Au, Bu, Cu, Gu, Hu and Iu are respectively the current value, current amplitude value, current frequency value, voltage value, voltage fluctuation value and voltage phase value at the u-th timestamp;

[0061] M is the load current value, N is the load voltage value, and O is the load power value.

[0062] Preferably, the third calculation unit calculates and obtains the first node alarm coefficient JDX1 and the second node alarm coefficient JDX2 by the following formula:

[0063] JDX1=h1×ln(Z1)+h2×ln(Z2)+h3×ln(Z3);

[0064]

[0065] Wherein: Z1 is the first main data reference coefficient Z1, Z2 is the second main data reference coefficient Z2, Z3 is the third main data reference coefficient, W1 is the first sub-data correction coefficient W1, W2 is the second sub-data correction coefficient W2, and W3 is the third sub-data correction coefficient W3;

[0066] h1, h2 and h3 are weight values, and the values ​​of H1, h2 and h3 are adjusted and set by the user, ln is the logarithmic function, and e is the base function.

[0067] Preferably, the data analysis module includes a first analysis unit and a second analysis unit, the first analysis unit is used to generate a first comparison result, the second analysis unit is used to generate a second comparison result, and the second analysis unit presets a second threshold R into a first result threshold R1 and a second result threshold R2, wherein the first result threshold R1 is used for adapting to and, and the second result threshold R2 is used for adapting to and.

[0068] Preferably, the first comparison result is as follows:

[0069] When XJZ≤Y, it means that the first sub-data correction coefficient W1, the second sub-data correction coefficient W2 and the third sub-data correction coefficient W3 do not need to be used; when XJZ>Y, it means that the first sub-data correction coefficient W1, the second sub-data correction coefficient W2 and the third sub-data correction coefficient W3 need to be used;

[0070] The second comparison results are as follows:

[0071] When JDX1≤R1, it means that the current node has no fault;

[0072] When R1<JDX1≤R1×105%, it means that the current node is faulty and the fault level is level 1;

[0073] When R1×105%<JDX1, it means that the current node is faulty and the fault level is level 2;

[0074] When JDX2<R2, it means that the current node has no fault;

[0075] When R2<JDX2≤R2×103%, it means that the current node is faulty and the fault level is level 1;

[0076] When R2×103%<JDX2, it means that the current node has a fault and the fault level is level 2.

[0077] Compared with the prior art, the present invention has the following beneficial effects:

[0078] 1. Through the close collaboration of multiple modules, this system realizes the accurate collection, preprocessing, calculation, analysis and feedback of current data. Compared with traditional fault detection methods, this system can not only provide more comprehensive and accurate data support, but also has real-time and flexibility. Accurate reference coefficient calculation, dynamic alarm mechanism and real-time feedback mechanism enable the system to quickly identify and locate faults, avoiding delayed response, false alarm or missed alarm in traditional methods. Compared with the existing technology, this system has achieved significant improvements in fault location, data processing capabilities and response speed, greatly enhancing the system's stability, reliability and fault response capabilities, and optimizing the overall operation efficiency of the power system.

[0079] 2. By recording the data at each timestamp one by one, the system can dynamically track the power supply status at every moment. This real-time data collection enables the system to respond quickly at the moment of fault occurrence, reducing the risk of missing fault signals due to delays in traditional methods. Real-time dynamic data processing, combined with accurate analysis of time series, can greatly improve the agility of fault detection, help the system quickly diagnose the specific location and status of the grounding fault, and avoid further damage to the equipment.

[0080] 3. By comprehensively calculating multiple correction coefficients and reference coefficients, the system can analyze power supply data more accurately and optimize fault detection effects. Especially in the complex environment of the power supply system, it can effectively process a large amount of real-time data and reduce errors caused by signal interference, thereby greatly improving the accuracy and reliability of fault location. Users can flexibly adjust the weight coefficients and assign different weights to different data sources according to the signal environment and actual needs, so as to better adapt to different operating environments and meet diverse application needs. This adaptive mechanism enables the system to be optimized according to actual conditions, thereby improving the scope of application and stability of the system.

[0081] 4. By setting different level ranges, the system can tolerate some normal current, voltage fluctuations or external interference to avoid misjudgment of faults, thereby improving the fault tolerance of the system. This tolerance mechanism enhances the stability of the system in complex electrical environments, especially avoiding unnecessary alarms caused by external factors, and improving the robustness of the overall system. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] Figure 1 It is the overall system flow chart of the present invention.

[0083] Figure 2 The flowchart is executed by the first analysis unit of the present invention.

[0084] Figure 3 The flowchart is executed by the second analysis unit of the present invention.

[0085] In the figure: 1. First acquisition module; 11. First main information acquisition unit; 12. Second main information acquisition unit; 13. Third main information acquisition unit; 2. Second acquisition module; 21. First sub-information acquisition unit; 22. Second sub-information acquisition unit; 23. Third sub-information acquisition unit; 3. Data verification module; 31. Data preprocessing unit; 32. Data sorting unit; 4. Data calculation module; 41. First calculation unit; 42. Second calculation unit; 43. Third calculation unit; 5. Data analysis module; 51. First analysis unit; 52. Second analysis unit; 6. Data feedback module. DETAILED DESCRIPTION

[0086] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0087] Example 1: Please refer to Figure 1 , a DC power supply instantaneous ground fault search system, comprising a first acquisition module 1, a second acquisition module 2, a data verification module 3, a data calculation module 4, a data analysis module 5 and a data feedback module 6;

[0088] The first acquisition module 1 and the second acquisition module 2 are respectively used to detect the current data and generate a multi-source data set;

[0089] The data verification module 3 is used to preprocess the collected multi-source data set, and reorganize the preprocessed multi-source data set into a first data set, a second data set, and a third data set;

[0090] The data calculation module 4 integrates and calculates the first data set, the second data set and the third data set respectively, so as to generate the first main data reference coefficient Z1, the first sub-data correction coefficient W1, the second main data reference coefficient Z2, the second sub-data correction coefficient W2, the third main data reference coefficient Z3 and the third sub-data correction coefficient W3, and integrates and calculates the first sub-data correction coefficient W1, the second sub-data correction coefficient W2 and the third sub-data correction coefficient W3 into the correction intervention reference coefficient XZJ, and integrates and calculates the first main data reference coefficient Z1, the first sub-data correction coefficient W1, the second main data reference coefficient Z2, the second sub-data correction coefficient W2, the third main data reference coefficient Z3 and the third sub-data correction coefficient W3 into the first node alarm coefficient JDX1 and the second node alarm coefficient JDX2;

[0091] The data analysis module 5 compares the corrected intervention coefficient with the preset first threshold value Y, thereby generating a first comparison result. According to the first comparison result, it is determined whether the first sub-data correction coefficient W1, the second sub-data correction coefficient W2 and the third sub-data correction coefficient W3 need to be intervened in the calculation of the node alarm coefficient. If the first comparison result shows that intervention is required, the first sub-data correction coefficient W1, the second sub-data correction coefficient W2 and the third sub-data correction coefficient W3 are input into the node alarm coefficient calculation formula. If the comparison result is not required, the first sub-data correction coefficient W1, the second sub-data correction coefficient W2 and the third sub-data correction coefficient W3 do not need to be input into the node alarm coefficient. The data analysis module 5 compares the finally generated first node alarm coefficient JDX1 and the second node alarm coefficient JDX2 with the preset second threshold value R, thereby generating a second comparison result. According to the second comparison result, it is determined whether there is a ground fault at the current node and the fault magnitude is divided.

[0092] The data feedback module 6 is used to feed back the second comparison result to the terminal.

[0093] In this embodiment: the first acquisition module 1 and the second acquisition module 2 are responsible for real-time acquisition of current data in the DC power supply system to ensure that the instantaneous changes of the current signal can be captured comprehensively and timely. Through high-precision sensors, the module can generate multi-source data sets and provide reliable basic data for subsequent fault diagnosis. The beneficial effect of this module is to improve the accuracy and breadth of data acquisition, so that the system can respond quickly at the early stage of a fault and avoid equipment damage or system shutdown due to abnormal current.

[0094] The data verification module 3 pre-processes the multi-source data sets acquired by the first acquisition module 1 and the second acquisition module 2, and performs format conversion, denoising and filtering to ensure that the data quality meets the predetermined standards and avoids the interference of noise in the original data on fault location. The processed data will be reorganized into three types of data sets: the first data set, the second data set and the third data set, providing more accurate input for subsequent calculations and analysis. Through the optimization processing of this module, the data availability is improved, laying the foundation for the stable operation of the system.

[0095] The data calculation module 4 integrates and calculates the processed first data set, second data set and third data set to generate multiple important reference coefficients. These coefficients include the main data reference coefficient and the sub-data correction coefficient, which are integrated and calculated to form the correction intervention reference coefficient XZJ, the first node alarm coefficient JDX1 and the second node alarm coefficient JDX2. Through this calculation process, the module can accurately analyze the current data, identify anomalies in time and provide accurate input for the alarm mechanism. The optimization of this module brings more accurate fault location and alarm, and improves the system's response speed and accuracy to faults.

[0096] The data analysis module 5 is responsible for comparing and analyzing the modified intervention reference coefficient XZJ, and judging whether the modified intervention reference coefficient XZJ needs to be involved in the calculation of the node alarm coefficient according to the preset threshold value Y. If intervention is required, the correction coefficient will be input into the node alarm coefficient calculation formula to further optimize the alarm mechanism. By comparing with the second threshold value R, it is finally determined whether there is a ground fault, and the fault is divided into magnitudes. The function of this module is to enhance the accuracy and flexibility of fault diagnosis, avoid false alarms or missed alarms, and improve the system's ability to handle different fault conditions.

[0097] The data feedback module 6 feeds back the final analysis results to the terminal device in a timely manner to ensure that the operator can grasp the operating status of the system in real time. According to the feedback results, the operator can take corresponding measures to deal with the ground fault in a timely manner. The beneficial effect of this module is to achieve real-time monitoring and rapid response, improve the efficiency and accuracy of fault handling, and ensure the stable operation of the power system.

[0098] Through the close collaboration of multiple modules, this system realizes the accurate collection, preprocessing, calculation, analysis and feedback of current data. Compared with traditional fault detection methods, this system not only provides more comprehensive and accurate data support, but also has real-time and flexibility. Accurate reference coefficient calculation, dynamic alarm mechanism and real-time feedback mechanism enable the system to quickly identify and locate faults, avoiding delayed response, false alarm or missed alarm in traditional methods. Compared with existing technologies, this system has achieved significant improvements in fault location, data processing capabilities and response speed, greatly enhancing the stability, reliability and fault response capabilities of the system, and optimizing the overall operating efficiency of the power system.

[0099] Example 2: Please refer to Figure 1 , the first acquisition module 1 includes a first main information acquisition unit 11, a second main information acquisition unit 12 and a third main information acquisition unit 13;

[0100] The first main information acquisition unit 11 is used to collect the current value, current amplitude value and current frequency value of the power supply;

[0101] The second main information collection unit 12 is used to collect the voltage value, voltage fluctuation value and voltage phase value of the power supply;

[0102] The third main information acquisition unit 13 is used to collect the load current value, load voltage value and load power value of the power supply;

[0103] The second acquisition module 2 includes a first sub-information acquisition unit 21, a second sub-information acquisition unit 22 and a third sub-information acquisition unit 23;

[0104] The first sub-information collection unit 21 is used to collect the current waveform amplitude value, current waveform deviation value and current waveform peak value of the power supply;

[0105] The second sub-information collection unit 22 is used to collect the voltage harmonic amplitude value, voltage harmonic frequency value and spectrum distribution change rate of the power supply;

[0106] The third sub-information collection unit 23 is used to collect the signal time difference, relative current difference and voltage difference of the power supply;

[0107] Current value, current amplitude value, current frequency value, current waveform amplitude value, current waveform deviation value, current waveform peak value, voltage value, voltage fluctuation floating value, voltage phase value, voltage harmonic amplitude value, voltage harmonic frequency value, spectrum distribution change rate, load current value, load voltage value, load power value, signal time difference value, relative current difference value and voltage difference value constitute a multi-source data set.

[0108] In this embodiment: by introducing the first main information acquisition unit 11, the second main information acquisition unit 12, the third main information acquisition unit 13 and the first sub-information acquisition unit 21, the second sub-information acquisition unit 22, and the third sub-information acquisition unit 23, the system can simultaneously collect multi-source data of the power supply from multiple dimensions. The integration of multi-source data can comprehensively reflect the working status of the power supply system and provide richer data support than traditional methods, so that the system can more accurately capture the fault signal and avoid underreporting or false alarm due to single or limited signals.

[0109] Traditional fault detection often relies on single signal characteristics of current and voltage, but the occurrence of instantaneous ground faults is often accompanied by small current fluctuations and short-term waveform changes. By collecting multiple signal characteristics, this system can more accurately identify subtle signs of faults to avoid misjudgment, thereby improving the accuracy and response speed of fault location.

[0110] The system can handle dynamic changes in real time and provide sequential data support, enabling the system to capture instantaneous faults in a timely manner and respond quickly. Multidimensional data sets with strong real-time performance can allow the system to identify fault sources more quickly, thereby reducing fault response time and avoiding equipment damage or system downtime caused by delayed detection.

[0111] Example 3: Please refer to Figure 1 The data verification module 3 includes a data preprocessing unit 31 and a data sorting unit 32. The data preprocessing unit 31 is used to preprocess and dimensionlessly transform the data in the multi-source data set. The data sorting unit 32 reorganizes the processed data into a first data set, a second data set, and a third data set according to the region and time stamp, where different regions are denoted as i1, i2, i3, ..., in, and different time stamps are denoted as 1, 2, 3, ..., n.

[0112] The first data includes a current value, a current amplitude value, a current frequency value, a current waveform amplitude value, a current waveform deviation value, and a current waveform peak value;

[0113] The current values ​​of area in are recorded as A1, A2, A3, ..., An according to the timestamps;

[0114] The current amplitude values ​​of region in are recorded as B1, B2, B3, ..., Bn according to the timestamps;

[0115] The current frequency values ​​of region in are recorded as C1, C2, C3, ..., Cn according to the timestamps;

[0116] The current waveform amplitude values ​​of region in are recorded as D1, D2, D3, ..., Dn according to the timestamps;

[0117] The current waveform deviation values ​​of region in are recorded as E1, E2, E3, ..., En according to the timestamps;

[0118] The current waveform peaks of region in are recorded as F1, F2, F3, ..., Fn according to the timestamps;

[0119] The second data set includes voltage value, voltage fluctuation floating value, voltage phase value, voltage harmonic amplitude value, voltage harmonic frequency value and frequency spectrum distribution change rate;

[0120] The current values ​​of region in are recorded as G1, G2, G3, ..., Gn according to the timestamps;

[0121] The voltage values ​​of region in are recorded as H1, H2, H3, ..., Hn according to the timestamps;

[0122] Area in is recorded as I1, I2, I3, ..., In according to the timestamp;

[0123] Areas in are recorded as J1, J2, J3, ..., Jn according to the timestamp;

[0124] Area in is recorded as K1, K2, K3, ..., Kn according to the timestamp;

[0125] Areas in are recorded as L1, L2, L3, ..., Ln according to the timestamps;

[0126] The third data set includes a load current value, a load voltage value, a load power value, a signal time difference value, a relative current difference value, and a voltage difference value;

[0127] The load current value of area in is M;

[0128] The load voltage value of area in is N;

[0129] The load power value of area in is 0;

[0130] The signal time differences in area in are recorded as P1, P2, P3, ..., Qn according to the timestamps;

[0131] The relative current differences of the region in are recorded as S1, S2, S3, ..., Sn according to the timestamps;

[0132] The voltage difference values ​​of the area in are recorded as T1, T2, T3, ..., Tn according to the timestamps.

[0133] In this embodiment: the data preprocessing unit 31 in the data verification module 3 preprocesses and dimensionless the original data in the multi-source data set. This process eliminates the dimensional differences between different data sources, so that data from various fields can be analyzed and calculated in a unified manner. In this way, the fusion of various data is more efficient and bias-free, avoiding analysis errors caused by different dimensions or incompatibility problems in data processing, and providing a more accurate data basis for subsequent data collation and calculation. This standardized processing method not only improves the reliability of data analysis, but also accelerates the system processing speed and enhances the real-time and responsiveness of the system.

[0134] The data sorting unit 32 reorganizes the preprocessed data by region and timestamp to form a first data set, a second data set, and a third data set. By introducing regional division, the system can be provided with detailed information of the spatial dimension, so that fault signals in different regions can be collected and analyzed independently. In addition, the addition of timestamps enables the data to be accurate to the time dimension, enhancing the ability of real-time fault monitoring and dynamic trend analysis, so that the system can identify the time node, duration and fluctuation characteristics of the fault, and provide temporal support for fault diagnosis.

[0135] The reorganized first, second, and third data sets subdivide the data information of multiple dimensions of the power supply, and assign each characteristic time series tag to facilitate the system to dynamically track fluctuation trends; at the same time, it can effectively evaluate the impact of the load and help identify small abnormal signals in the power supply. This hierarchical and detailed processing of data enables the system to more accurately distinguish the occurrence point of the fault and its extension range, improve the accuracy of fault location, and avoid missed detection or misjudgment due to rough data.

[0136] By recording the data at each timestamp one by one, the system can dynamically track the power supply status at every moment. This real-time data collection enables the system to respond quickly at the moment of fault occurrence, reducing the risk of missing fault signals due to delays in traditional methods. Real-time dynamic data processing, combined with accurate analysis of time series, can greatly improve the agility of fault detection, help the system quickly diagnose the specific location and status of the grounding fault, and avoid further damage to the equipment.

[0137] The system enhances the system's ability to perceive external interference. , thereby effectively avoiding the influence of interference signals on fault detection results. Even in a complex electromagnetic environment, the system can still accurately capture ground fault signals, avoiding false alarms or missed alarms caused by signal interference, and improving the robustness and stability of the system.

[0138] Example 4: Please refer to Figure 1, the data calculation module 4 includes a first calculation unit 41, a second calculation unit 42 and a third calculation unit 43;

[0139] The first calculation unit 41 is used to calculate and obtain the first sub-data correction coefficient W1, the second sub-data correction coefficient W2, the third sub-data correction coefficient W3 and the correction intervention reference coefficient XZJ;

[0140] The second calculation unit 42 is used to calculate and obtain the first master data reference coefficient Z1, the second master data reference coefficient Z2 and the third master data reference coefficient Z3;

[0141] The third calculation unit 43 is used to calculate and obtain the first node warning coefficient JDX1 and the second node warning coefficient JDX2.

[0142] The first calculation unit 41 calculates and obtains the first sub-data correction coefficient W1, the second sub-data correction coefficient W2, the third sub-data correction coefficient W3 and the correction intervention reference coefficient XZJ respectively through the following formulas;

[0143]

[0144]

[0145]

[0146] XZJ=g1×W1+g2×W2+g3×W3;

[0147] Where: n is the total number of timestamps, u is the u-th timestamp;

[0148] Du, Eu, Fu, Ju, Ku, Lu, Pu, Su and Tu are the current waveform amplitude value, current waveform deviation value, current waveform peak value, voltage harmonic amplitude value, voltage harmonic frequency value, spectrum distribution change rate, signal time difference value, relative current difference value and voltage difference value at the u-th timestamp respectively;

[0149] a1, a2, a3, b1, b2, b3, c1, c2, c3, g1, g2, and g3 are weight values, and the values ​​of a1, a2, a3, b1, b2, b3, c1, c2, c3, g1, g2, and g3 are adjusted and set by the user.

[0150] The second calculation unit 42 calculates and obtains the first master data reference coefficient Z1, the second master data reference coefficient Z2 and the third master data reference coefficient Z3 respectively through the following formulas;

[0151]

[0152]

[0153] Z3=f1×M+f2×N+f3×O;

[0154] Where: n is the total number of timestamps, u is the u-th timestamp;

[0155] Au, Bu, Cu, Gu, Hu and Iu are respectively the current value, current amplitude value, current frequency value, voltage value, voltage fluctuation value and voltage phase value at the u-th timestamp;

[0156] M is the load current value, N is the load voltage value, and O is the load power value.

[0157] The third calculation unit 43 calculates and obtains the first node alarm coefficient JDX1 and the second node alarm coefficient JDX2 by the following formula:

[0158] JDX1=h1×ln(Z1)+h2×ln(Z2)+h3×ln(Z3);

[0159]

[0160] Wherein: Z1 is the first main data reference coefficient Z1, Z2 is the second main data reference coefficient Z2, Z3 is the third main data reference coefficient, W1 is the first sub-data correction coefficient W1, W2 is the second sub-data correction coefficient W2, and W3 is the third sub-data correction coefficient W3;

[0161] h1, h2 and h3 are weight values, and the values ​​of H1, h2 and h3 are adjusted and set by the user, ln is the logarithmic function, and e is the base function.

[0162] In this embodiment: through the division of labor among the first calculation unit 41, the second calculation unit 42 and the third calculation unit 43, the data from different sources are weighted and integrated to calculate multiple reference coefficients, thereby improving the comprehensiveness and accuracy of the data. Compared with the traditional method of analyzing a single data source, this comprehensive method significantly improves the accuracy of fault detection of the system.

[0163] The weight value is customized by the user, so that the system can be flexibly configured according to different environments, load conditions and fault types, thereby improving the adaptability and adjustability of the system and optimizing fault diagnosis for different working conditions.

[0164] By correcting the intervention reference coefficient XZJ, the influence of the sub-data correction coefficient is added when the data is integrated and calculated, which further enhances the robustness of the system in dealing with complex interference and dynamic changes. This effectively reduces the impact of signal interference or environmental fluctuations on positioning accuracy and improves the stability and accuracy of fault detection.

[0165] By comprehensively calculating multiple correction coefficients and reference coefficients, the system can analyze power data more accurately and optimize fault detection effects. In the complex environment of the power system, it can effectively process a large amount of real-time data and reduce errors caused by signal interference, thereby greatly improving the accuracy and reliability of fault location. Users can flexibly adjust the weight coefficients and assign different weights to different data sources according to the signal environment and actual needs, which can better adapt to different operating environments and meet diverse application needs. This adaptive mechanism enables the system to be optimized according to actual conditions, thereby improving the scope of application and stability of the system.

[0166] The use of logarithmic function calculation method can effectively compress the impact of extreme values ​​and avoid overreaction of the alarm system to extreme abnormal values. Compared with traditional methods, the new alarm coefficient calculation method can provide more accurate alarm data, reduce false alarms and missed alarms, and improve the accuracy and response speed of the alarm system. By incorporating the correction intervention reference coefficient into the calculation, the system can dynamically adjust the interference factors in data analysis and improve the stability in various electrical environments. In the case of large signal interference, the correction coefficient can effectively eliminate unnecessary influences and ensure that the system can still accurately judge and alarm in complex environments.

[0167] Example 5: Please refer to Figure 1 , Figure 2 as well as Figure 3 The data analysis module 5 includes a first analysis unit 51 and a second analysis unit 52. The first analysis unit 51 is used to generate a first comparison result, and the second analysis unit 52 is used to generate a second comparison result. The second analysis unit 52 presets a second threshold R into a first result threshold R1 and a second result threshold R2, wherein the first result threshold R1 is used to adapt to and, and the second result threshold R2 is used to adapt to and.

[0168] The first comparison results are as follows:

[0169] When XJZ≤Y, it means that the first sub-data correction coefficient W1, the second sub-data correction coefficient W2 and the third sub-data correction coefficient W3 do not need to be used; when XJZ>Y, it means that the first sub-data correction coefficient W1, the second sub-data correction coefficient W2 and the third sub-data correction coefficient W3 need to be used;

[0170] The second comparison results are as follows:

[0171] When JDX1≤R1, it means that the current node has no fault;

[0172] When R1<JDX1≤R1×105%, it means that the current node is faulty and the fault level is level 1;

[0173] When R1×105%<JDX1, it means that the current node is faulty and the fault level is level 2;

[0174] When JDX2≤R2, it means that the current node has no fault;

[0175] When R2<JDX2≤R2×103%, it means that the current node is faulty and the fault level is level 1;

[0176] When R2×103%<JDX2, it means that the current node has a fault and the fault level is level 2.

[0177] In this embodiment, by setting different thresholds and fault levels, the system can classify faults according to different fault severity levels. This classification mechanism enables the system to not only detect the occurrence of faults, but also assess the severity of the faults, so as to take more appropriate response measures.

[0178] When a fault occurs, the system not only gives a simple judgment on whether a fault has occurred, but also clarifies the level of the fault, providing more decision-making basis for subsequent emergency response, and enhancing the accuracy of fault location and the effectiveness of management.

[0179] The first comparison result determines whether the first sub-data correction coefficient W1, the second sub-data correction coefficient W2, and the third sub-data correction coefficient W3 need to be used by judging whether XJZ is less than or equal to the first threshold value Y. This mechanism enables the system to dynamically adjust the correction coefficient according to the changes in real-time data, avoiding excessive intervention when there is no obvious fault and reducing the calculation burden.

[0180] When more complex interference occurs, the system will automatically enable the correction factor to accurately adjust the analysis results and improve the adaptability and accuracy of the system in different situations.

[0181] By making dual judgments on the first comparison results and the second comparison results, the system can refine the fault judgment process. This layered analysis method not only increases the accuracy of fault location, but also reduces the system's false alarms and missed alarms, ensuring that the fault type and level can be accurately identified in complex environments.

[0182] By setting different level ranges, the system can tolerate some normal current and voltage fluctuations or external interference to avoid misjudgment of faults, thereby improving the system's fault tolerance. This tolerance mechanism enhances the stability of the system in complex electrical environments, especially avoiding unnecessary alarms caused by external factors, and improving the robustness of the overall system.

[0183] By adding detailed comparison rules to the data analysis module, the system can quickly determine the occurrence of a fault at the first time, and combined with the application of fault level and correction coefficient, quickly take corresponding processing measures, reducing the time delay of fault processing. This enables the entire system to respond in real time and make timely fault reports and processing instructions under dynamic current and voltage changes, greatly improving the real-time and response efficiency of the system.

[0184] The contents not described in detail in this specification belong to the prior art known to professional and technical personnel in this field.

[0185] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A system for finding instantaneous ground faults in a DC power supply, characterized in that: It comprises a first acquisition module (1), a second acquisition module (2), a data verification module (3), a data calculation module (4), a data analysis module (5) and a data feedback module (6); The first acquisition module (1) and the second acquisition module (2) are respectively used to detect current data and generate a multi-source data set; The data verification module (3) is used to pre-process the collected multi-source data set, and reorganize the pre-processed multi-source data set into a first data set, a second data set and a third data set; The data calculation module (4) integrates and calculates the first data set, the second data set and the third data set respectively, so as to generate a first main data reference coefficient Z1, a first sub-data correction coefficient W1, a second main data reference coefficient Z2, a second sub-data correction coefficient W2, a third main data reference coefficient Z3 and a third sub-data correction coefficient W3, and integrates and calculates the first sub-data correction coefficient W1, the second sub-data correction coefficient W2 and the third sub-data correction coefficient W3 into a correction intervention reference coefficient XZJ, and integrates and calculates the first main data reference coefficient Z1, the first sub-data correction coefficient W1, the second main data reference coefficient Z2, the second sub-data correction coefficient W2, the third main data reference coefficient Z3 and the third sub-data correction coefficient W3 into a first node alarm coefficient JDX1 and a second node alarm coefficient JDX2; The data analysis module (5) compares the corrected intervention coefficient with a preset first threshold value Y, thereby generating a first comparison result. Based on the first comparison result, it is determined whether the first sub-data correction coefficient W1, the second sub-data correction coefficient W2, and the third sub-data correction coefficient W3 need to be intervened in the calculation of the node alarm coefficient. If the first comparison result shows that intervention is required, the first sub-data correction coefficient W1, the second sub-data correction coefficient W2, and the third sub-data correction coefficient W3 are input into the node alarm coefficient calculation formula. If the comparison result shows that intervention is not required, the first sub-data correction coefficient W1, the second sub-data correction coefficient W2, and the third sub-data correction coefficient W3 do not need to be input into the node alarm coefficient. The data analysis module (5) compares the finally generated first node alarm coefficient JDX1 and the second node alarm coefficient JDX2 with a preset second threshold value R, thereby generating a second comparison result. Based on the second comparison result, it is determined whether there is a ground fault at the current node, and the fault magnitude is divided. The data feedback module (6) is used to feed back the second comparison result to the terminal.

2. A DC power supply instantaneous ground fault detection system according to claim 1, characterized in that: The first acquisition module (1) comprises a first main information acquisition unit (11), a second main information acquisition unit (12) and a third main information acquisition unit (13); The first main information acquisition unit (11) is used to acquire the current value, current amplitude value and current frequency value of the power supply; The second main information acquisition unit (12) is used to acquire the voltage value, voltage fluctuation value and voltage phase value of the power supply; The third main information acquisition unit (13) is used to acquire the load current value, load voltage value and load power value of the power supply; The second acquisition module (2) comprises a first sub-information acquisition unit (21), a second sub-information acquisition unit (22) and a third sub-information acquisition unit (23); The first sub-information collection unit (21) is used to collect the current waveform amplitude value, current waveform deviation value and current waveform peak value of the power supply; The second sub-information collection unit (22) is used to collect the voltage harmonic amplitude value, voltage harmonic frequency value and spectrum distribution change rate of the power supply; The third sub-information collection unit (23) is used to collect the signal time difference, relative current difference and voltage difference of the power supply; The current value, current amplitude value, current frequency value, current waveform amplitude value, current waveform deviation value, current waveform peak value, voltage value, voltage fluctuation floating value, voltage phase value, voltage harmonic amplitude value, voltage harmonic frequency value, spectrum distribution change rate, load current value, load voltage value, load power value, signal time difference value, relative current difference value and voltage difference value constitute a multi-source data set.

3. A DC power supply instantaneous ground fault detection system according to claim 2, characterized in that: The data verification module (3) comprises a data preprocessing unit (31) and a data sorting unit (32), wherein the data preprocessing unit (31) is used to preprocess and dimensionlessly process the data in the multi-source data set, and the data sorting unit (32) re-sorts the processed data into a first data set, a second data set and a third data set according to regions and timestamps, wherein different regions are recorded as i1, i2, i3, ..., in, and different timestamps are recorded as 1, 2, 3, ..., n.

4. A DC power supply instantaneous ground fault detection system according to claim 3, characterized in that: The first data includes a current value, a current amplitude value, a current frequency value, a current waveform amplitude value, a current waveform deviation value, and a current waveform peak value; The current values ​​of area in are recorded as A1, A2, A3, ..., An according to the timestamps; The current amplitude values ​​of region in are recorded as B1, B2, B3, ..., Bn according to the timestamps; The current frequency values ​​of region in are recorded as C1, C2, C3, ..., Cn according to the timestamps; The current waveform amplitude values ​​of region in are recorded as D1, D2, D3, ..., Dn according to the timestamps; The current waveform deviation values ​​of region in are recorded as E1, E2, E3, ..., En according to the timestamps; The current waveform peaks of region in are recorded as F1, F2, F3, ..., Fn according to the timestamps; The second data set includes voltage value, voltage fluctuation floating value, voltage phase value, voltage harmonic amplitude value, voltage harmonic frequency value and frequency spectrum distribution change rate; The current values ​​of region in are recorded as G1, G2, G3, ..., Gn according to the timestamps; The voltage values ​​of region in are recorded as H1, H2, H3, ..., Hn according to the timestamps; Area in is recorded as I1, I2, I3, ..., In according to the timestamp; Areas in are recorded as J1, J2, J3, ..., Jn according to the timestamps; Area in is recorded as K1, K2, K3, ..., Kn according to the timestamp; Areas in are recorded as L1, L2, L3, ..., Ln according to the timestamps; The third data set includes a load current value, a load voltage value, a load power value, a signal time difference value, a relative current difference value, and a voltage difference value; The load current value of area in is M; The load voltage value of area in is N; The load power value of area in is 0; The signal time differences in area in are recorded as P1, P2, P3, ..., Qn according to the timestamps; The relative current differences of the region in are recorded as S1, S2, S3, ..., Sn according to the timestamps; The voltage difference values ​​of the area in are recorded as T1, T2, T3, ..., Tn according to the timestamps.

5. A DC power supply instantaneous ground fault detection system according to claim 4, characterized in that: The data calculation module (4) comprises a first calculation unit (41), a second calculation unit (42) and a third calculation unit (43); The first calculation unit (41) is used to calculate and obtain a first sub-data correction coefficient W1, a second sub-data correction coefficient W2, a third sub-data correction coefficient W3 and a correction intervention reference coefficient XZJ; The second calculation unit (42) is used to calculate and obtain a first master data reference coefficient Z1, a second master data reference coefficient Z2, and a third master data reference coefficient Z3; The third calculation unit (43) is used to calculate and obtain the first node alarm coefficient JDX1 and the second node alarm coefficient JDX2.

6. A DC power supply instantaneous ground fault detection system according to claim 5, characterized in that: The first calculation unit (41) calculates and obtains the first sub-data correction coefficient W1, the second sub-data correction coefficient W2, the third sub-data correction coefficient W3 and the correction intervention reference coefficient XZJ respectively through the following formulas; XZJ=g1×W1+g2×W2+g3×W3; Where: n is the total number of timestamps, u is the u-th timestamp; Du, Eu, Fu, Ju, Ku, Lu, Pu, Su and Tu are the current waveform amplitude value, current waveform deviation value, current waveform peak value, voltage harmonic amplitude value, voltage harmonic frequency value, spectrum distribution change rate, signal time difference value, relative current difference value and voltage difference value at the u-th timestamp respectively; a1, a2, a3, b1, b2, b3, c1, c2, c3, g1, g2, and g3 are weight values, and the values ​​of a1, a2, a3, b1, b2, b3, c1, c2, c3, g1, g2, and g3 are adjusted and set by the user.

7. A DC power supply instantaneous ground fault detection system according to claim 6, characterized in that: The second calculation unit (42) calculates and obtains the first main data reference coefficient Z1, the second main data reference coefficient Z2 and the third main data reference coefficient Z3 respectively through the following formulas; Z3=f1×M+f2×N+f3×O; Where: n is the total number of timestamps, u is the u-th timestamp; Au, Bu, Cu, Gu, Hu and Iu are respectively the current value, current amplitude value, current frequency value, voltage value, voltage fluctuation value and voltage phase value at the u-th timestamp; M is the load current value, N is the load voltage value, and O is the load power value.

8. A DC power supply instantaneous ground fault detection system according to claim 7, characterized in that: The third calculation unit (43) calculates and obtains the first node alarm coefficient JDX1 and the second node alarm coefficient JDX2 through the following formula: JDX1=h1×ln(Z1)+h2×ln(Z2)+h3×ln(Z3); JDX2=h1×ln(Z1×e W1 )+h2×ln(Z2×e W2 )+h3×ln(Z3×e W3 ); Wherein: Z1 is the first main data reference coefficient Z1, Z2 is the second main data reference coefficient Z2, Z3 is the third main data reference coefficient, W1 is the first sub-data correction coefficient W1, W2 is the second sub-data correction coefficient W2, and W3 is the third sub-data correction coefficient W3; h1, h2 and h3 are weight values, and the values ​​of H1, h2 and h3 are adjusted and set by the user, ln is the logarithmic function, and e is the base function.

9. A DC power supply instantaneous ground fault detection system according to claim 8, characterized in that: The data analysis module (5) comprises a first analysis unit (51) and a second analysis unit (52), wherein the first analysis unit (51) is used to generate a first comparison result, and the second analysis unit (52) is used to generate a second comparison result, and the second analysis unit (52) presets a second threshold R which is divided into a first result threshold R1 and a second result threshold R2, wherein the first result threshold R1 is used to adapt to and the second result threshold R2 is used to adapt to and.

10. A DC power supply instantaneous ground fault detection system according to claim 9, characterized in that: The first comparison result is as follows: When XJZ≤Y, it means that the first sub-data correction coefficient W1, the second sub-data correction coefficient W2 and the third sub-data correction coefficient W3 do not need to be used; when XJZ>Y, it means that the first sub-data correction coefficient W1, the second sub-data correction coefficient W2 and the third sub-data correction coefficient W3 need to be used; The second comparison results are as follows: When JDX1≤R1, it means that the current node has no fault; When R1<JDX1≤R1×105%, it means that the current node is faulty and the fault level is level 1; When R1×105%<JDX1, it means that the current node is faulty and the fault level is level 2; When JDX2≤R2, it means that the current node has no fault; When R2<JDX2≤R2×103%, it means that the current node is faulty and the fault level is level 1; When R2×103%<JDX2, it means that the current node has a fault and the fault level is level 2.

Images