A substation grounding grid horizontal topology structure detection method and system

Abstract

The application belongs to the technical field of grounding grid topology structure detection, and provides a substation grounding grid horizontal topology structure detection method and system. An abnormal frequency excitation signal is applied to the grounding grid, and then the grounding grid to which the abnormal frequency excitation signal is applied is detected. The magnetic induction intensity data perpendicular to the grounding body direction is obtained, and the adjacent data is differentially calculated according to the row arrangement and the column arrangement. According to the differential calculation, the magnetic induction intensity data differential array is reconstructed. The reconstructed magnetic induction intensity data differential array is differentially calculated to obtain the grounding grid conductor position and the topology structure. On the basis of applying the abnormal frequency excitation signal, the substation grounding grid horizontal topology structure can be quickly drawn through the differential calculation and the differential calculation. The measurement method is simple, the detection precision is high, and the method is not affected by the problems such as the ground surface magnetic field intensity attenuation of the deeply buried grounding body.

Description

Technical Field

[0001] This invention belongs to the field of grounding grid topology detection technology, and particularly relates to a method and system for detecting the horizontal topology of a substation grounding grid. Background Technology

[0002] The grounding grid mostly uses galvanized steel, which, after prolonged corrosion in the soil, often develops finer corrosion defects. In severe cases, it can even break, increasing grounding resistance and threatening equipment and personnel safety. Therefore, regular excavation and inspection are crucial accident prevention measures for power safety departments. Substation excavation projects involve enormous manpower and resources. To avoid aimless excavation, the accurate topology of the underground conductors needs to be known beforehand. However, grounding grid drawings for substations that have been in operation for many years are often lost due to poor document preservation or repeated repairs, resulting in discrepancies between the actual topology and the design drawings, which complicates excavation and maintenance work.

[0003] The inventors discovered that existing substation grounding grid safety status detection devices using electromagnetic induction employ magnetic field strength detection coils to measure the surface magnetic field strength. However, these coils are complex to manufacture, have low detection accuracy, and the equipment is bulky, hindering convenient on-site operation. While using differential methods to filter and numerically differentiate the magnetic field measurement data above the grounding grid after current injection allows for direct plotting of the grounding grid's topology and detection of individual grounding grid installation locations, many difficulties in actual grounding grid detection, such as numerous grounding down conductors, power frequency magnetic field interference, and attenuation of surface magnetic field strength due to deep burial of the grounding electrode, have not yet been adequately addressed. (Aamir from Chongqing University...) Based on the work of Wang Xiaoyu et al., Qamar conducted in-depth research and proposed a method for detecting the topology of grounding grid conductors applicable to different burial methods in the field. The research method mainly solves the problems of locating individual conductors of the grounding grid and detecting the topology of the grounding grid. The method involves injecting a current of a certain amplitude into the lower lead of the grounding grid, which flows out into a nearby lower lead. Taking radii of d / 3, d / 2, and 2d / 3 with the injection point as the center, the magnetic field distribution on the circumference is measured. The measurement points are spaced 5 cm apart. By calculating the differential of the vertical component of the magnetic field strength at different radii, the laying position of the grounding grid is determined, and the topology of the grounding grid is determined based on this. The method is theoretically feasible, but its practical operability in the field is low, the measurement method is cumbersome, and it requires high skills from the field measurement personnel. Summary of the Invention

[0004] To address the aforementioned problems, this invention proposes a method and system for detecting the horizontal topology of a substation grounding grid. This invention can quickly draw the horizontal topology of a substation grounding grid.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solution:

[0006] In a first aspect, the present invention provides a method for detecting the horizontal topology of a substation grounding grid, comprising:

[0007] Apply a different frequency excitation signal to the grounding grid;

[0008] Obtain the magnetic induction intensity in the grounding grid after applying a different frequency excitation signal;

[0009] Take the magnetic induction intensity data perpendicular to the direction of the grounding body, and calculate the difference between adjacent data according to row arrangement and column arrangement respectively; reconstruct the differential array of magnetic induction intensity data based on the difference calculation; perform differential calculation on the reconstructed differential array of magnetic induction intensity data to obtain the position and topology of the grounding grid conductor.

[0010] Furthermore, a magnetic induction intensity data array is established based on the substation size;

[0011] Record the first data point, using the current latitude and longitude as the origin;

[0012] It acquires spatial latitude and longitude information and magnetic induction intensity in real time, calculates the latitude and longitude information of the current location, and stores the magnetic induction intensity data in the latitude and longitude information, thus completing the conversion between magnetic induction intensity data and coordinate information;

[0013] Calculate the difference between adjacent data according to both row and column arrangements;

[0014] Based on the difference calculation, a differential array of magnetic induction intensity data is reconstructed. The larger the differential array, the greater the probability that a grounding grid conductor exists at the location.

[0015] Furthermore, based on the differential array, a contour map is drawn.

[0016] Furthermore, the magnetic induction intensity data of the grounding grid are analyzed and evaluated based on the sequential probability ratio test, and the topology of the grounding grid is drawn.

[0017] Furthermore, the probability coefficients are initialized. After reading in the observation series, the probability coefficients are calculated and compared with a first preset value and a second preset value. The first preset value is less than the second preset value. When the probability coefficient is less than the first preset value, the data is determined to be normal. When the probability coefficient is between the first preset value and the second preset value, the observation series is accumulated and compared. When the probability coefficient is greater than the second preset value, it is determined to be abnormal.

[0018] Furthermore, when the cumulative probability ratio becomes negative, compensation is performed to adjust the judgment parameter to near zero.

[0019] Furthermore, with conductors, the data fluctuates around a certain value, exhibiting a banding effect; without conductors, the data does not form a banding effect.

[0020] Secondly, the present invention also provides a substation grounding grid horizontal topology detection system, comprising:

[0021] The frequency excitation module is configured to apply a frequency excitation signal to the grounding grid;

[0022] The data acquisition module is configured to acquire the magnetic induction intensity within the grounding grid after the application of a different frequency excitation signal;

[0023] The differential calculation module is configured to: take magnetic induction intensity data perpendicular to the direction of the grounding body, and calculate the difference between adjacent data according to row arrangement and column arrangement respectively; reconstruct the differential array of magnetic induction intensity data based on the difference calculation; perform differential calculation on the reconstructed differential array of magnetic induction intensity data to obtain the position and topology of the grounding grid conductor.

[0024] Thirdly, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the substation grounding grid horizontal topology detection method described in the first aspect.

[0025] Fourthly, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the substation grounding grid horizontal topology detection method described in the first aspect.

[0026] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0027] This invention applies a different frequency excitation signal to the grounding grid, then detects the grounding grid to which the different frequency excitation signal is applied. By taking magnetic induction intensity data perpendicular to the grounding body, the difference between adjacent data is calculated according to row and column arrangements. Based on the difference calculation, a differential array of magnetic induction intensity data is reconstructed. Differential calculation is performed on the reconstructed differential array of magnetic induction intensity data to obtain the position and topology of the grounding grid conductors. Based on the applied different frequency excitation signal, the horizontal topology of the substation grounding grid can be quickly drawn through difference and differential calculations. The measurement method is simple, the detection accuracy is high, and it is not affected by the attenuation of the magnetic field strength at the ground surface due to the deep burial of the grounding body. Attached Figure Description

[0028] The accompanying drawings, which form part of this embodiment, are used to provide a further understanding of this embodiment. The illustrative embodiments and their descriptions are used to explain this embodiment and do not constitute an improper limitation of this embodiment.

[0029] Figure 1 This is a schematic diagram of the magnetic induction intensity distribution in Embodiment 1 of the present invention;

[0030] Figure 2 This is a schematic diagram of the control unit in Embodiment 1 of the present invention;

[0031] Figure 3 This is a flowchart of the magnetic field detection process in Embodiment 1 of the present invention;

[0032] Figure 4 This is the X-axis magnetic field detection circuit of Embodiment 1 of the present invention;

[0033] Figure 5 This is the Y-axis magnetic field detection circuit of Embodiment 1 of the present invention;

[0034] Figure 6 This is the channel switching circuit of Embodiment 1 of the present invention;

[0035] Figure 7 This is the signal filtering and amplification circuit of Embodiment 1 of the present invention;

[0036] Figure 8 This is a schematic diagram of wireless communication according to Embodiment 1 of the present invention;

[0037] Figure 9 This is a contour map of Embodiment 1 of the present invention;

[0038] Figure 10 This is the grounding grid topology of Embodiment 1 of the present invention;

[0039] Figure 11 This is a schematic diagram of the inspection process in Embodiment 1 of the present invention;

[0040] Figure 12 This is a schematic diagram of the conventional diagnostic delay problem in Embodiment 1 of the present invention;

[0041] Figure 13 This is a schematic diagram of the judgment system compensation in Embodiment 1 of the present invention. Detailed implementation method:

[0042] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0043] It should be noted that the following detailed descriptions are exemplary and intended to provide further explanation of this application. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains.

[0044] Substations are a crucial component of power systems, and their stability is essential for the safe and reliable operation of the power grid. The grounding grid is a vital guarantee for the safe operation of substations, and its grounding performance has always been a focus of design, production, and operation departments. In the safe operation of a substation, the grounding grid not only provides a common potential reference ground for various electrical equipment within the substation, but also rapidly discharges fault currents and reduces the ground potential rise in the event of lightning strikes or short-circuit faults in the power system. The quality of the grounding grid's performance directly affects the personal safety of personnel within the substation and the safe and normal operation of various electrical equipment.

[0045] The grounding grid mostly uses galvanized steel, which, after prolonged corrosion in the soil, often develops finer corrosion defects. In severe cases, it can even break, increasing grounding resistance and threatening equipment and personnel safety. Therefore, regular excavation and inspection are crucial accident prevention measures for power safety departments. Substation excavation projects involve enormous manpower and resources. To avoid aimless excavation, the accurate topology of the underground conductors needs to be known beforehand. However, grounding grid drawings for substations that have been in operation for many years are often lost due to poor document preservation or repeated repairs, resulting in discrepancies between the actual topology and the design drawings, which complicates excavation and maintenance work.

[0046] The method of using electromagnetic induction to locate the topology of a grounding grid was first proposed by Canadian scholar F. Dawalibi. He proposed using electromagnetic induction to diagnose the grounding grid. A sinusoidal alternating current of a certain magnitude and frequency is injected into the grounding grid through one lead, and a sinusoidal alternating current of the same frequency and magnitude is extracted through another lead. The strength of the surface magnetic field is then measured, and the number and location of grounding electrodes are determined based on the distribution characteristics of the surface magnetic field strength.

[0047] As mentioned in the background section, existing methods for locating grounding grid topology using electromagnetic induction have the following problems: the detection device uses a magnetic field strength detection coil to detect the surface magnetic field strength, which is complex to manufacture, has low detection accuracy, and is bulky; many difficulties in actual grounding grid detection have not been well resolved, such as the large number of grounding down conductors, power frequency magnetic field interference, and the attenuation of the surface magnetic field strength due to deep burial of the grounding body; while theoretically feasible, the actual field operability is low, the measurement method is cumbersome, and the requirements for field measurement personnel are high.

[0048] Example 1:

[0049] To address the problems of existing methods for locating grounding grid topology using electromagnetic induction, this embodiment provides a method for detecting the horizontal topology of a substation grounding grid, including:

[0050] Apply a different frequency excitation signal to the grounding grid;

[0051] The magnetic flux density within the grounding grid is obtained after applying a different frequency excitation signal; it is understood that the obtained magnetic flux density is a different frequency magnetic field signal.

[0052] Take the magnetic induction intensity data perpendicular to the direction of the grounding body, and calculate the difference between adjacent data according to row arrangement and column arrangement respectively; reconstruct the differential array of magnetic induction intensity data based on the difference calculation; perform differential calculation on the reconstructed differential array of magnetic induction intensity data to obtain the position and topology of the grounding grid conductor.

[0053] By applying a different frequency excitation signal to the grounding grid and then probing the grounding grid to which the different frequency excitation signal was applied, the location and topology of the grounding grid conductor can be obtained by taking the magnetic induction intensity data perpendicular to the direction of the grounding body and performing differential calculation on the magnetic induction intensity. The horizontal topology of the substation grounding grid can be quickly drawn. The measurement method is simple, the detection accuracy is high, and it is not affected by problems such as the attenuation of the magnetic field strength on the ground surface when the grounding body is deeply buried.

[0054] Extraction of Surface Magnetic Field Intensity Signal from Substations. Substations have numerous electrical devices, each with a large load and high current, resulting in a significant power frequency magnetic field (mT) in the space. The current injected under the grounding conductor is a weak, heterofrequency current (5-15A), generating a weak magnetic field (nT) on the ground surface. This embodiment designs a weak heterofrequency magnetic field signal detection scheme. This scheme uses a magnetic tunnel sensor to detect the weak magnetic field signal, uses an operational amplifier (op-amp) to amplify the signal, then uses an op-amp to perform 8th-order bandpass filtering and signal amplification, and finally uses an op-amp chip to perform signal rectification and integration. The signal is ultimately directly input to the CPU analog acquisition port. Heterogeneous frequency magnetic field can be understood as any magnetic field other than the 50Hz power frequency. Heterogeneous frequency magnetic field is used to eliminate the influence of the substation's power frequency on magnetic field acquisition.

[0055] Substation coordinate information detection. A grating sensor is used to measure the travel distance of the mobile device, and an IMU sensor is used to detect the direction of travel.

[0056] Algorithm for drawing the horizontal topology of a substation grounding grid. For example... Figure 1As shown, through field test measurements and simulation calculations, it can be seen that after injecting a different frequency sinusoidal excitation signal into the grounding grid, the distribution of magnetic induction intensity on the ground surface exhibits obvious regularity: the magnetic induction intensity is larger in the adjacent area near the current injection and extraction points; the distribution of magnetic induction intensity along the conductor surface perpendicular to the direction of injection and extraction currents shows a wave-like change, with a peak appearing above each conductor; the change in magnetic induction intensity along the direction of injection and extraction currents is relatively gentle, and under normal circumstances, there are generally no abrupt changes or significant drops. Based on this regularity, magnetic induction intensity data perpendicular to the grounding body direction can be extracted, and the horizontal topology of the substation grounding grid can be determined using the differential method. The specific implementation algorithm of this embodiment is as follows:

[0057] The magnetic flux density generated by the axial current in the grounding grid conductor can be expressed as:

[0058]

[0059] in, I represents the magnetic induction intensity excited by the axial current of the line element at a field point on the Earth's surface; e denoted by , r represents the axial current of the conductor line element of the grounding grid; r is the position vector between the source point of the line element and the field point on the ground surface; μ0 represents the free magnetic permeability; dl represents the minute line element of the current.

[0060] From the above equation, it can be concluded that the spatial magnetic induction intensity is directly proportional to the axial current of the conductor and inversely proportional to the square of the position vector.

[0061] When no local conductor of the grounding grid is detected, the magnetic induction intensity on the ground surface is very small and does not change significantly. Once a local conductor of the grounding grid is detected, the magnetic induction intensity on the ground surface increases rapidly. Based on this characteristic, a differential algorithm can be used to quickly calculate the location and topology of the grounding grid conductor; specifically:

[0062] Based on the substation dimensions, for example, 100m x 100m, establish a magnetic induction intensity data array B[1000, 1000]:

[0063]

[0064] The system acquires spatial latitude and longitude information and magnetic induction intensity in real time, and records the data information of the first point (B0, N0, E0) after the start of detection. The current latitude and longitude information is taken as the origin (B0, X0, Y0), and the data is stored in B[0, 0]. Here, B is the magnetic induction intensity data array, B(i, j) is a data in the array; N represents the latitude information of the point; E is the longitude information of the point; X is the distance from the origin X-axis after the latitude and longitude information of the point is converted into distance information; Y is the distance from the origin Y-axis after the latitude and longitude information of the point is converted into distance information.

[0065] Real-time acquisition of spatial latitude and longitude information and magnetic induction intensity (B, N, E), and calculation of the current location's coordinate information (B). n X n Y n ), and store the magnetic induction intensity data in B[X n Y n [This completes the monitoring of magnetic induction intensity data and the conversion of coordinate information.]

[0066] Since the magnetic field strength data array B[1000, 1000] stores magnetic field strength data with an adjacent data interval of 0.1 meters, the difference C is calculated for adjacent data arranged by row and column respectively. X [X n Y n ] = B[X n Y n ]-B[X n-1 Y n ], C Y [X n Y n ] = B[X n Y n ]-B[X n Y n-1 ]. Among them, C X [X n Y n ] and C Y [X n Y n ] are the partial derivatives of the matrix with respect to the X and Y axes, respectively.

[0067] Reconstruct the differential array C of magnetic induction intensity data; where the elements of array C are:

[0068] The larger the data in array C[Xn, Yn], the greater the probability that a grounding grid conductor exists at that location.

[0069] Topology drawing algorithms, such as Figure 9 As shown, a contour map is drawn based on the data of the differential array C of magnetic induction intensity data.

[0070] The filtering algorithm identifies sensitive data after the data is pushed to the AI ​​processing unit. Sensitive data can be understood as data containing grounding grid conductors. Because sensitive data is relatively concentrated and neighboring sensitive data changes slowly, employing appropriate data processing methods is crucial. For example... Figure 10As shown, in order to solve the above problems, this embodiment designs a Sequential Probability Ratio Test (SPRT) algorithm to analyze and evaluate the magnetic induction intensity data of the grounding grid and draw the topology of the grounding grid. The Sequential Probability Ratio Test algorithm can also be called a Sequential Probability Ratio Test.

[0071] The detected electromagnetic induction intensity signal sequence of the grounding grid is x1, x2, x3, ..., x n Under normal circumstances, it should be able to satisfy the following conditions: mean μ0, variance σ. 2 It follows a normal distribution.

[0072] The algorithm employs five state assumptions for the observed sample sequence, as shown in Table 1:

[0073] Table 1. Types of SPRT Assumptions

[0074]

[0075]

[0076] In this system, H0 is assumed to be the normal state (with a conductor), while H1, H2, H3, and H4 are assumed to be the non-conductor state under different conditions. The system disturbance coefficient M and variance variation coefficient V need to be determined based on the grounding grid information and diagnostic accuracy. The calculated system determination coefficients are as follows:

[0077]

[0078] Where, λ i Pr(x) represents the probability ratio; p |H i ) indicates that the sample satisfies H i The observed sample sequence x at the time of the assumption p The probability function. Simultaneously, assume α is the false positive probability and β is the false negative probability, and let...

[0079]

[0080]

[0081] By SPRT i By comparing with A and B, it is determined whether to accept state H0, thus completing the identification of defect signals. The SPRT probability comparison inspection process is as follows: Figure 11 As shown.

[0082] Initially, the SPRT probability coefficients are set to 0. After reading the observation series, the SPRT probability coefficients are then... iThe calculation is performed and compared with (A, B), and the decision rule is: when SPRT i When the value is less than A, the data is considered normal, the probability coefficient is set to 0, and the observation series is recalculated from that point; SPRT i Between A and B, continue accumulating and comparing the observed data; SPRT i If the value is greater than B, it is considered abnormal, an alarm signal is generated, and then the probability coefficient SPRT is set. i Set to 0. SPRT i The determination of the system disturbance coefficient M, variance variation coefficient V, false alarm probability α, and false negative probability β is directly related to the accuracy of diagnosis; A and B can be understood as the first and second preset values ​​obtained through calculation.

[0083] Based on simulation and experimental results, under normal conditions with a conductor, sensitive data typically fluctuates around a certain value, exhibiting a banding effect with a small band area. Under abnormal conditions without a conductor, sensitive data is usually absent over a large area or fails to form a banding effect. Therefore, in practical applications, only two states need to be considered: the normal state hypothesis H0 and the abnormal state hypothesis H1. The determination coefficient equation can then be further derived as follows:

[0084]

[0085] in:

[0086]

[0087] As the formula shows, when H0 is true, the SPRT probability ratio will continuously accumulate a negative value; when H1 is true, the coefficient will continuously accumulate a positive value. Therefore, before a defect occurs, the system probability ratio may accumulate a large negative value. After a defect occurs, a certain amount of positive value must accumulate before the probability ratio reaches the alarm threshold. This process introduces a delay in defect diagnosis. Figure 12 As shown.

[0088] like Figure 12 As shown, it can be seen that the defect appears at time T0, but it is not judged until time T2, which leads to a delay in judgment.

[0089] To avoid this delay in certainty judgment, this embodiment adds a compensation optimization algorithm. Specifically, when the accumulated probability ratio becomes negative, it is compensated promptly to bring the judgment parameter close to zero. The compensation process is as follows: Figure 13 As shown.

[0090]

[0091] Through deviation compensation, the online diagnostic model can make correct judgments on the grounding grid topology more quickly and accurately.

[0092] Example 2:

[0093] This embodiment designs a substation grounding grid horizontal topology detection device based on the electromagnetic induction method; the device can be composed of a mobile trolley, a power supply unit, a communication and control unit, and background analysis software.

[0094] The communication and control unit includes magnetic field detection, wireless communication and positioning components; the mobile vehicle is the mobile carrier of the device, and the material is mainly non-magnetic, such as stainless steel and aluminum alloy. The chassis unit has a built-in DC brushless motor, the inner cavity of the chassis mainly houses the communication and control unit, and the upper part of the chassis houses the power supply unit and the communication antenna.

[0095] The communication and control unit in this embodiment is as follows: Figure 2 As shown, the magnetic field detection scheme is as follows: Figure 3 As shown, the magnetic field detection system consists of an X-axis magnetic field detection circuit, a Y-axis magnetic field detection circuit, a channel switching circuit, and a signal filtering and amplification circuit. The X-axis and Y-axis magnetic field detection circuits convert the surface magnetic field strength signal from a magnetic signal to an analog signal; the channel switching circuit, controlled by the CPU, switches between the X and Y axis signals; the signal amplification circuit amplifies the analog signal; and the high-order bandpass circuit filters the analog signal, removing power frequency and other noise signals, and amplifies the 430Hz heterogeneous frequency signal. This signal output is directly connected to the CPU AD acquisition channel.

[0096] like Figure 8 As shown, in this embodiment, the wireless communication used can include two parts: 4G communication and LoRa communication. The 4G wireless communication is connected to the background analysis software to realize the remote function of data and commands; the LoRa wireless communication is connected to the remote control terminal to realize the remote control function of the device.

[0097] By applying a different frequency excitation signal to the grounding grid, the device can be easily moved and controlled. It can detect the magnetic field strength data and location information of the substation grounding grid surface through manual operation, and can quickly analyze and detect the horizontal topology of the substation grounding grid through background analysis software.

[0098] The working method of the device is the same as that of the substation grounding grid horizontal topology detection method in Example 1, and will not be repeated here.

[0099] Example 3:

[0100] This embodiment provides a substation grounding grid horizontal topology detection system, including:

[0101] The frequency excitation module is configured to apply a frequency excitation signal to the grounding grid;

[0102] The data acquisition module is configured to acquire the magnetic induction intensity within the grounding grid after the application of a different frequency excitation signal;

[0103] The differential calculation module is configured to: take the magnetic induction intensity data perpendicular to the direction of the grounding body, perform differential calculations on the magnetic induction intensity to obtain the position and topology of the grounding grid conductor.

[0104] The working method of the system is the same as that of the substation grounding grid horizontal topology detection method in Example 1, and will not be repeated here.

[0105] Example 4:

[0106] This embodiment provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the substation grounding grid horizontal topology detection method described in Embodiment 1.

[0107] Example 5:

[0108] This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps of the substation grounding grid horizontal topology detection method described in Embodiment 1.

[0109] The above description is merely a preferred embodiment of this practice and is not intended to limit the scope of this practice. Various modifications and variations can be made to this practice by those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of this practice should be included within the protection scope of this practice.

Claims

1. A method for detecting the horizontal topology of a substation grounding grid, characterized in that, include: Apply a different frequency excitation signal to the grounding grid; Obtain the magnetic induction intensity in the grounding grid after applying a different frequency excitation signal; Take the magnetic flux density data perpendicular to the direction of the grounding body; Establish a magnetic induction intensity data array based on the substation size; Record the first data point, using the current latitude and longitude as the origin; The system acquires spatial latitude and longitude information and magnetic field strength in real time, calculates the latitude and longitude information of the current location, and stores the magnetic field strength data in the latitude and longitude information, thus completing the conversion between magnetic field strength data and coordinate information; it calculates the difference between adjacent data according to row arrangement and column arrangement respectively; and reconstructs the differential array of magnetic field strength data based on the difference calculation. Differential calculations are performed on the reconstructed differential array of magnetic induction intensity data to obtain the location and topology of the grounding grid conductors; The probability coefficients are initialized. After reading in the observation series, the probability coefficients are calculated and compared with the first preset value and the second preset value. The first preset value is less than the second preset value. When the probability coefficient is less than the first preset value, the data is judged to be normal. When the probability coefficient is between the first preset value and the second preset value, the observation series continues to be accumulated and compared. When the probability coefficient is greater than the second preset value, it is judged to be abnormal. When the cumulative probability ratio becomes negative, compensation is performed to adjust the judgment parameter to near zero.

2. The method for detecting the horizontal topology of a substation grounding grid as described in claim 1, characterized in that, Based on the difference calculation, a differential array of magnetic induction intensity data is reconstructed. The larger the differential array, the greater the probability that a grounding grid conductor exists at the location.

3. The method for detecting the horizontal topology of a substation grounding grid as described in claim 2, characterized in that, Draw a contour map based on the differential array.

4. The method for detecting the horizontal topology of a substation grounding grid as described in claim 3, characterized in that, The magnetic induction intensity data of the grounding grid is analyzed and evaluated based on the sequential probability ratio test, and the topology of the grounding grid is drawn.

5. The method for detecting the horizontal topology of a substation grounding grid as described in claim 1, characterized in that, The conductor contains data that fluctuates around a certain value, exhibiting a banding effect. Without conductors, data cannot form a banding effect.

6. A substation grounding grid horizontal topology detection system, employing the substation grounding grid horizontal topology detection method as described in any one of claims 1-5, characterized in that, include: The frequency excitation module is configured to apply a frequency excitation signal to the grounding grid; The data acquisition module is configured to acquire the magnetic induction intensity within the grounding grid after the application of a different frequency excitation signal; The differential calculation module is configured to: take the magnetic induction intensity data perpendicular to the direction of the grounding body, calculate the difference between adjacent data in row and column arrangements respectively; and reconstruct the differential array of magnetic induction intensity data based on the difference calculation. Differential calculations are performed on the reconstructed differential array of magnetic induction intensity data to obtain the location and topology of the grounding grid conductors.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the substation grounding grid horizontal topology detection method as described in any one of claims 1-5.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the substation grounding grid horizontal topology detection method as described in any one of claims 1-5.

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