Power cable position intelligent marking and positioning system

Abstract

The invention relates to the technical field of intelligent marking and positioning, in particular to a power cable position intelligent marking and positioning system which comprises a sensor data acquisition module, a position correction module, an electromagnetic characteristic analysis module and a position synchronization and marking module. According to the method, the position deviation of the cable can be accurately calculated by combining measurement of the soil magnetic field intensity value and data normalization, real-time correction and refined position analysis are implemented, so that fault detection is quicker and more accurate, the maintenance plan is optimized, the cable damage risk is remarkably reduced, spectrum analysis is introduced to enhance the signal analysis capability, and the fault detection accuracy is improved. According to the method, the depth of the cable is accurately measured, the safety and maintainability of the underground cable are effectively supported, the real-time performance and the accuracy of data are ensured through real-time synchronization with a GIS database and automatic updating and marking of position information on a GIS map, and the response capability and the stability of a power grid are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent marking and positioning, and in particular to an intelligent marking and positioning system for a power cable position. Background Art

[0002] The field of smart tag positioning technology involves the use of advanced sensor technology, positioning systems, and data communication methods to improve the accuracy of object location identification and monitoring efficiency, combined with IoT elements such as smart sensors and real-time data processing to achieve real-time tracking of objects in various environments and conditions. Key technologies include RFID tags, GPS positioning, optical character recognition, and other forms of automatic recognition technology. Machine learning algorithms are also integrated to analyze and optimize tracking data, providing higher positioning accuracy and system response speed.

[0003] Among them, the power cable location intelligent marking and positioning system is a system used to determine the location of power cables, focusing on power infrastructure management. The system uses intelligent technology to mark and monitor the exact location of cables, thereby improving the efficiency and safety of power grid operation and maintenance. Its main uses include fault detection, optimization of maintenance plans, and prevention of cable damage during excavation operations. Through real-time data collection and analysis, it can accurately locate cable fault points, significantly shorten repair time and reduce power outages, while enhancing the overall stability and reliability of the power grid.

[0004] Although existing technologies use IoT and smart sensor technologies for object tracking, the positioning accuracy and adaptability of GPS and RFID tags are insufficient in dynamic and complex environments, such as urban underground or covered areas. GPS signal attenuation problems in underground or high-building areas affect positioning accuracy, while RFID's adaptability in dealing with soil changes or cover conditions limits its utility. In addition, the application of optical character recognition is limited in severe weather or dusty environments, affecting its practicality and efficiency. Technical limitations increase fault response time and increase maintenance costs. Sometimes, misleading information may cause unnecessary excavation damage, which not only prolongs the repair cycle, but also increases operation and maintenance challenges, affecting the overall operation efficiency and reliability of the power grid. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an intelligent marking and positioning system for power cable positions.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: A power cable position intelligent marking and positioning system comprises:

[0007] The sensor data acquisition module deploys sensors to collect soil conductivity, humidity and temperature parameters, synchronizes the data in real time, summarizes and integrates different types of data through data integration, and generates the original collection data set;

[0008] The position correction module collects the soil magnetic field strength value, combines it with the original collected data set, performs data normalization processing, determines the actual position of the power cable, calculates the deviation value between the actual position and the expected position, corrects the power cable position according to the calculation result, continuously updates the power cable position information, and obtains the accurate position information of the power cable;

[0009] The electromagnetic characteristic analysis module conducts in-depth analysis on the electromagnetic signals emitted by the power cable, determines the signal strength and frequency distribution through spectrum analysis, and uses multi-point electromagnetic data to perform three-dimensional mapping of the power cable position based on the spectrum analysis results, calculates the accurate depth of the cable underground, and obtains the cable depth information analysis results;

[0010] The position synchronization and marking module combines the accurate position information of the power cable and the analysis results of the cable depth information to finally locate the power cable, link the data with the GIS database, and synchronously update the real-time position information of the power cable. According to the synchronous update results, the power cable position is automatically marked on the GIS map to ensure the real-time accuracy of the power cable position and generate the power cable intelligent positioning and marking results.

[0011] As a further solution of the present invention, the steps of acquiring the original acquired data set are:

[0012] Sensors are deployed underground and around cables. Each sensor independently collects soil conductivity, humidity and temperature parameters. The formula is used.

[0013] P i =s i ×k

[0014] Convert the original signal to generate a preprocessed data set, where s i is the original signal value of the i-th sensor, k is the sensitivity coefficient of the sensor, P i Represents the pre-processed data value of a single sensor;

[0015] The preprocessed data set is synchronized in real time using the formula,

[0016]

[0017] Calculate the data change rate Q within the time window to generate the synchronized data set, where n is the total number of sensors and T represents the synchronization time window;

[0018] According to the synchronized data set, data integration and difference type data induction are performed to identify and remove abnormal data points to generate the original collected data set.

[0019] As a further solution of the present invention, the step of calculating the deviation value between the actual position and the expected position is:

[0020] Combined with the original data set, the soil magnetic field data set is obtained, and normalization processing is performed using the formula:

[0021]

[0022] Calculate for each data point M i The normalized value N i , generate a normalized data set, where M i is the measured magnetic field value of the data point, min(M) and max(M) are the minimum and maximum values ​​of the soil magnetic field dataset;

[0023] Applying the normalized data set, the changes in soil magnetic field are analyzed using the formula,

[0024]

[0025] Calculate the weighted value P actual , analyze the actual position of the power cable and obtain the actual position determination result of the power cable, where w i represents the assigned weight, and Z is the number of samples;

[0026] Based on the actual position determination result of the power cable, the actual position P is compared actual and the expected position P expected , using the formula,

[0027] D=|P actual -P expected |

[0028] Calculate the deviation value D and generate the position deviation analysis result.

[0029] As a further solution of the present invention, the steps for obtaining the accurate position information of the power cable are:

[0030] According to the position deviation analysis results, the power cable position is corrected using the formula:

[0031] P corrected =P actual -D

[0032] Calculate the correction value P corrected , and obtain the power cable position correction result;

[0033] According to the power cable position correction result, the cable position information is updated to ensure that the position information reflects the latest status, and the updated cable position information is generated;

[0034] The updated cable location information is integrated to determine the power cable location coordinates, and the location is recorded to generate accurate power cable location information.

[0035] As a further solution of the present invention, the steps of determining the signal intensity and frequency distribution are:

[0036] Deploy electromagnetic induction sensors along the cable path to collect electromagnetic signals, record the original electromagnetic waveform data, and use the formula:

[0037] T(t)=Acos(2πft+φ)

[0038] Perform waveform simulation to generate raw waveform data, where A is the amplitude, f is the frequency, φ is the phase, and T(t) represents the electromagnetic signal at time t;

[0039] The original waveform data is subjected to fast Fourier transform to analyze the existence of difference frequency components, and the formula is used:

[0040]

[0041] Calculate the spectrum intensity F(ω) at frequency ω, analyze the signal component intensity, and generate spectrum analysis data;

[0042] Based on the spectrum analysis data, the signal main frequency and intensity distribution are evaluated, using the formula,

[0043] E(ω)=|F(ω)| 2

[0044] Calculate the energy density E(ω) at frequency ω, quantify the signal strength, evaluate the strength and distribution characteristics of the signal, and generate signal strength and frequency distribution analysis results.

[0045] As a further solution of the present invention, the steps of obtaining the cable depth information analysis result are:

[0046] Based on the signal strength and frequency distribution analysis results, three-dimensional mapping is performed using the formula,

[0047]

[0048] Predict and output the three-dimensional position coordinates P(x, y, z) of the cable, where M(x, y, z) is the theoretical electromagnetic field strength value predicted based on geographic data;

[0049] Based on the three-dimensional position coordinates of the cable, the z coordinate is corrected by geological and topographic data, using the formula,

[0050] z corrected =z+δ

[0051] Calculate and output the cable depth correction value z corrected , where δ is a correction value based on geological feedback;

[0052] The cable position and depth are confirmed by combining the three-dimensional position coordinates of the cable and the cable depth correction value, and the three-dimensional coordinates P of the cable position are output. final (x, y, z corrected ) to obtain the cable depth information analysis results.

[0053] As a further solution of the present invention, the step of synchronously updating the real-time position information of the power cable is:

[0054] Combined with the analysis results of the accurate location information of the power cable and the cable depth information, formatting is performed to match the input requirements of the GIS system, and the formula is used.

[0055]

[0056] Perform coordinate conversion and calculate the coordinate value P used in the GIS system GIs , get GIS compatible coordinates, where a, b and c are scaling factors to keep the coordinate scale consistent, and d is an adjustment factor used to increase the accuracy of position calculation;

[0057] Based on the GIS compatible coordinates, data is linked to the GIS database and synchronized to the GIS database using the formula:

[0058] Sync(P GIS )=g·P GIS +h·|P GIS |

[0059] Calculate the coordinate synchronization value Sync(P GIS ), ensure that the cable location information in the GIS database is updated, and obtain the GIS database update record, where g represents the linear scaling factor of the database update operation, and h represents the nonlinear influence coefficient of the database update operation;

[0060] According to the GIS database update record, the correctness of the GIS database update is verified, and the data is confirmed to be correctly stored in the GIS database, so as to ensure the accurate reflection of the power cable location information and obtain the power cable location synchronization update record.

[0061] As a further solution of the present invention, the steps for obtaining the intelligent positioning marking result of the power cable are:

[0062] According to the synchronous update record of the power cable position, the latest coordinates are extracted from the GIS database to prepare for map marking and obtain a marked coordinate list;

[0063] According to the marking coordinate list, the cable position is automatically marked using the formula,

[0064]

[0065] Calculate the mark value Mark(P GIs ,Map), and automatically add cable position marks on the map to generate map marking results, where p represents the linear coefficient of the map update operation, and l represents the root coefficient of the map update operation;

[0066] Based on the map marking results, checks and confirmations are performed to confirm the accuracy and completeness of the markings, and intelligent positioning marking results for the power cables are generated.

[0067] Compared with the prior art, the advantages and positive effects of the present invention are:

[0068] In the present invention, by combining the measurement of soil magnetic field intensity values ​​with data normalization, the position deviation of the cable can be accurately calculated and real-time correction can be implemented. The refined position analysis makes fault detection more rapid and accurate, optimizes the maintenance plan, and significantly reduces the risk of cable damage. The introduction of spectrum analysis enhances the signal parsing capability, makes the cable depth measurement accurate, and effectively supports the safety and maintainability of underground cables. Through real-time synchronization with the GIS database, the position information can be automatically updated and marked on the GIS map, ensuring the real-time and accuracy of the data, and effectively improving the responsiveness and stability of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 is a system flow chart of the present invention;

[0070] Figure 2 This is a flowchart of obtaining the original acquisition data set of the present invention;

[0071] Figure 3 is a flow chart for calculating the deviation value between the actual position and the expected position of the present invention;

[0072] Figure 4 This is a flow chart for obtaining accurate position information of a power cable according to the present invention;

[0073] Figure 5 is a flow chart for determining signal intensity and frequency distribution of the present invention;

[0074] Figure 6 A flowchart for obtaining cable depth information analysis results of the present invention;

[0075] Figure 7 A flow chart for synchronously updating the real-time position information of the power cable of the present invention;

[0076] Figure 8 This is a flow chart for obtaining the intelligent positioning and marking results of the power cable of the present invention. DETAILED DESCRIPTION

[0077] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0078] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0079] See also Figure 1 , an intelligent marking and positioning system for power cable positions includes.

[0080] The sensor data acquisition module deploys sensors to collect soil conductivity, humidity and temperature parameters, synchronizes the data in real time, summarizes and integrates different types of data through data integration, and generates the original collection data set;

[0081] The position correction module collects the soil magnetic field strength value, combines it with the original collected data set, performs data normalization processing, determines the actual position of the power cable, calculates the deviation value between the actual position and the expected position, corrects the power cable position according to the calculation result, continuously updates the power cable position information, and obtains the accurate position information of the power cable;

[0082] The electromagnetic characteristic analysis module conducts in-depth analysis on the electromagnetic signals emitted by the power cable, determines the signal strength and frequency distribution through spectrum analysis, and uses multi-point electromagnetic data to perform three-dimensional mapping of the power cable position based on the spectrum analysis results, calculates the accurate depth of the cable underground, and obtains the cable depth information analysis results;

[0083] The position synchronization and marking module combines the accurate position information of the power cable and the analysis results of the cable depth information to finally locate the power cable, link the data with the GIS database, and synchronously update the real-time position information of the power cable. According to the synchronous update results, the power cable position is automatically marked on the GIS map to ensure the real-time accuracy of the power cable position and generate the intelligent positioning and marking results of the power cable.

[0084] The original collected data set includes conductivity data, humidity data and temperature data. The accurate location information of the power cable includes the cable position deviation value and the cable position correction result. The cable depth information analysis results include the cable electromagnetic signal strength measurement record, frequency distribution analysis results and underground depth calculation results. The power cable intelligent positioning marking results include GIS map automatic marking results and location synchronization information.

[0085] See also Figure 2 , the steps to obtain the original acquisition data set are:

[0086] Sensors are deployed underground and around cables. Each sensor independently collects soil conductivity, humidity and temperature parameters. The formula is used.

[0087] P i =s i ×k

[0088] Convert the original signal to generate a preprocessed data set, where s i is the original signal value of the i-th sensor, k is the sensitivity coefficient of the sensor, P i Represents the pre-processed data value of a single sensor;

[0089] Real-time synchronization of preprocessed data sets is performed using the formula,

[0090]

[0091] Calculate the data change rate Q within the time window to generate the synchronized data set, where n is the total number of sensors and T represents the synchronization time window;

[0092] Based on the synchronized data set, data integration and difference type data induction are performed to identify and remove abnormal data points and generate the original collected data set.

[0093] P i : Preprocessed data of a single sensor in microsiemens / cm for conductivity, percentage for humidity, and degrees Celsius for temperature.

[0094] Taking humidity data as an example, the original signal s i It is a humidity measurement with a range from 0 to 100 in units of percentage. The sensor sensitivity coefficient k is set to 1.0, which represents direct conversion.

[0095] Measured humidity value s i =75%, substitute into the formula, and we get:

[0096] P i =75%×1.0=75%

[0097] The results show that the humidity value of the measuring point remains unchanged in the preprocessed data set, indicating that the direct conversion maintains the original value as a data point in the data set.

[0098] Assume T = 3600 seconds (1 hour), n = 10 sensors working simultaneously, and the P of each sensor i This is consistent with the 75% calculated above. Then:

[0099]

[0100] The results show that the synchronized datasets indicate that the average humidity change rate per second in a one-hour window is very small, indicating that the data is relatively stable within this hour.

[0101] See also Figure 3 , the calculation steps of the deviation value between the actual position and the expected position are:

[0102] Combined with the original data set, the soil magnetic field data set is obtained, and normalization is performed using the formula:

[0103]

[0104] Calculate for each data point M i The normalized value N i , generate a normalized data set, where M i is the measured magnetic field value of the data point, min(M) and max(M) are the minimum and maximum values ​​of the soil magnetic field dataset;

[0105] Apply the normalized data set to analyze the changes in soil magnetic field using the formula,

[0106]

[0107] Calculate the weighted value P actual , analyze the actual position of the power cable and obtain the actual position determination result of the power cable, where w i represents the assigned weight, and Z is the number of samples;

[0108] Based on the actual position determination result of the power cable, compare the actual position P actual and the expected position P expected , using the formula,

[0109] D=|Pactual -P expected |

[0110] Calculate the deviation value D and generate the position deviation analysis result.

[0111] According to the original collected data set, the original magnetic field strength value of the soil is obtained as [50, 60, 70, 80, 90] (unit: microtesla), so min (M) and max (M) are 50 microtesla and 90 microtesla respectively.

[0112] Taking data point 70 as an example, substituting it into the formula, we get:

[0113]

[0114] The result represents the normalized value of the data point 70 microtesla, and 0.5 indicates that the magnetic field intensity of 70 microtesla is located at the midpoint between the maximum and minimum values, providing a normalized reference value for subsequent analysis and comparison.

[0115] Set the weight distribution to [0.2, 0.2, 0.2, 0.2, 0.2] respectively.

[0116] The above normalized data points are [0, 0.25, 0.5, 0.75, 1] ​​respectively.

[0117] The number of data points is 5.

[0118] Substituting into the formula, we get:

[0119]

[0120] The calculated P actual It is 0.1, indicating that the actual position of the cable is the weighted average position in the normalized value (combined with the geographical location of the data points, it can provide accurate positioning for the cable position), which is of great significance for determining the specific location of the cable underground.

[0121] P expected It represents the expected position value, which is set according to the design drawing or previous data and is 0.2.

[0122] D=|0.1-0.2|=0.1

[0123] The result value of 0.1 indicates that there is a 0.1 deviation between the actual position and the expected position, which means that the deviation needs to be further corrected to ensure the accuracy of the power cable positioning.

[0124] See also Figure 4 ,The steps to obtain the accurate location information of the power cable are:

[0125] According to the position deviation analysis results, the power cable position is corrected using the formula:

[0126] P corrected =P actual -D

[0127] Calculate the correction value P corrected , and obtain the power cable position correction result;

[0128] According to the power cable position correction result, the cable position information is updated to ensure that the position information reflects the latest status and generate updated cable position information;

[0129] The updated cable location information is integrated to determine the power cable location coordinates, and the location is recorded to generate accurate power cable location information.

[0130] Combining the above calculation results and substituting them into the formula, we get:

[0131] P corrected =0.1-0.1=0

[0132] The obtained correction value P corrected If it is 0, it means that after calibration, the cable position has been adjusted to the expected accurate position. This indicates that the calibration operation has completely eliminated the position deviation and accurately determined the cable position.

[0133] Based on the corrected position, the system continuously monitors and updates the position information to adapt to possible environmental changes or further position refinement.

[0134] If after a period of time, the monitored position changes by +0.05 (may be caused by geological changes, etc.), then:

[0135] P updated =P corrected +0.05=0+0.05=0.05

[0136] Updated position P updated The cable position is 0.05, indicating that the cable position has slightly changed relative to the corrected position. This update is continuous, ensuring that the cable position information always reflects the latest status.

[0137] By integrating all updated and adjusted data, the exact location coordinates of the cable are finally determined to obtain the accurate location information of the power cable.

[0138] See also Figure 5 , the steps for determining the signal intensity and frequency distribution are:

[0139] Deploy electromagnetic induction sensors along the cable path to collect electromagnetic signals, record the original electromagnetic waveform data, and use the formula:

[0140] T(t)=Acos(2πft+φ)

[0141] Perform waveform simulation to generate raw waveform data, where A is the amplitude, f is the frequency, φ is the phase, and T(t) represents the electromagnetic signal at time t;

[0142] Perform fast Fourier transform on the original waveform data to analyze the existence of difference frequency components, using the formula,

[0143]

[0144] Calculate the spectrum intensity F(ω) at frequency ω, analyze the signal component intensity, and generate spectrum analysis data;

[0145] Based on the spectrum analysis data, the signal main frequency and intensity distribution are evaluated, using the formula,

[0146] E(ω)=|F(ω)| 2

[0147] Calculate the energy density E(ω) at frequency ω, quantify the signal strength, evaluate the strength and distribution characteristics of the signal, and generate signal strength and frequency distribution analysis results.

[0148] A: Signal amplitude, which indicates the strength of the signal. The average value measured in actual measurement is 5mV.

[0149] f: Signal frequency, which refers to the number of signal cycles per second, is 60Hz, which is common in conventional power transmission frequency.

[0150] φ: The phase of the signal. A value of 0 indicates no initial phase offset.

[0151] t: time variable, representing the observation time point. Consider a complete cycle, that is, t from 0 to Second.

[0152] Substituting t = 0 seconds, calculate T(0):

[0153] T(0)=5cos(2π×60×0+0)=5cos(0)=5mV

[0154] Substitution Seconds (half the signal period, reaching the minimum value):

[0155]

[0156] At t = 0 seconds, the signal reaches a maximum amplitude of 5mV. After half a cycle, the signal reaches a minimum amplitude of -5mV. This shows how the signal changes over time, providing basic data for subsequent spectrum analysis.

[0157] Combining the above results, we take T(t) = 5cos(2π×60t),

[0158] ω: angular frequency, considering the fundamental frequency ω = 2π×60.

[0159] Calculate F(ω) in only one cycle:

[0160]

[0161] Using Euler's formula ix =cos(x)+isin(x) and To perform integration:

[0162]

[0163] The calculated F(2π×60) is 0.042 units, which means the signal component strength at 60 Hz. This value indicates the significance of the signal at this frequency and provides a quantitative basis for the energy distribution of the signal, which is used for the next step of energy distribution calculation.

[0164] but:

[0165] E(2π×60)=(0.042) 2 =0.001764 units 2

[0166] Energy density 0.001764 units 2 Indicates the energy concentration of the signal at 60Hz. A smaller value indicates that the signal strength at this frequency is low and needs to be enhanced or confirmed to ensure more accurate cable location mapping.

[0167] See also Figure 6 , the steps to obtain the cable depth information analysis results are:

[0168] Based on the signal strength and frequency distribution analysis results, three-dimensional mapping is performed using the formula,

[0169]

[0170] Predict and output the three-dimensional position coordinates P(x, y, z) of the cable, where M(x, y, z) is the theoretical electromagnetic field strength value predicted based on geographic data;

[0171] Based on the three-dimensional position coordinates of the cable, the z coordinate is corrected by geological and topographic data, using the formula:

[0172] z corrected =z+δ

[0173] Calculate and output the cable depth correction value z corrected , where δ is a correction value based on geological feedback;

[0174] The cable position and depth are confirmed by integrating the cable 3D position coordinates and cable depth correction values, and the 3D coordinates P of the cable position are output. final (x, y, z corrected ) to obtain the cable depth information analysis results.

[0175] M(x,y,z): The predicted value of the simulated geomagnetic model. The average predicted value obtained through the previous geological exploration data is 0.002 units 2 , combined with the above calculation results, substitute into the formula, and we get:

[0176]

[0177] ∑(0.000000468-0.002) 2 =(-0.00199532) 2 ≈0.00000399

[0178] The result value of 0.000000399 represents the sum of squared errors in the cable location prediction under the current model and data conditions. This small error value indicates that the predicted location is very close to the actual cable location and the model effectively reflects the actual location of the cable.

[0179] z: Depth obtained from preliminary mapping, 50 meters.

[0180] δ: Depth difference adjusted based on geological feedback, adjusted by 1 meter after field measurement.

[0181] Substituting into the formula, we get:

[0182] z corrected =50+1=51

[0183] The result represents the final corrected cable depth z corrected The correction value represents a slight adjustment to the initially calculated depth under actual geological conditions, ensuring higher positioning accuracy.

[0184] Final cable position P final (x, y, 51) confirms that the x, y coordinates remain unchanged and the depth is updated to 51 meters, indicating the precise location of the cable after all data analysis and geological investigation.

[0185] See also Figure 7 , the steps for synchronously updating the real-time position information of the power cable are:

[0186] Combined with the analysis results of the accurate location information of the power cable and the cable depth information, formatting is performed to match the input requirements of the GIS system, using the formula,

[0187]

[0188] Perform coordinate conversion and calculate the coordinate value P used in the GIS system GIS , get GIS compatible coordinates, where a, b and c are scaling factors to keep the coordinate scale consistent, and d is an adjustment factor used to increase the accuracy of position calculation;

[0189] Based on GIS compatible coordinates, data is linked to the GIS database and synchronized to the GIS database using the formula,

[0190] Sync(P GIs )=g·P GIS +h·|P GIS |

[0191] Calculate the coordinate synchronization value Sync(P GIS ), ensure that the cable location information in the GIS database is updated, and obtain the GIS database update record, where g represents the linear scaling factor of the database update operation, and h represents the nonlinear influence coefficient of the database update operation;

[0192] According to the GIS database update record, verify the correctness of the GIS database update, confirm that the data is stored in the GIS database correctly, ensure the accurate reflection of the power cable location information, and obtain the synchronous update record of the power cable location.

[0193] Set a=b=c=1.0, d=0.1, and according to the above results, obtain x=50, y=100, z corrected =51.

[0194] Substituting into the formula, we get:

[0195]

[0196] The obtained P GIS The value is 182.29, which represents the adjusted value of the cable's location coordinates in the GIS system. The number can be used to accurately mark the cable's location on the GIS map.

[0197] Set g = 1.0, h = 0.05, and substitute into the formula:

[0198] Sync(182.29)=1.0×182.29+0.05×|182.29|

[0199] Sync(182.29)=182.29+0.05×182.29=182.29+9.1145=191.4045

[0200] The obtained synchronization value 191.4045 represents the cable location coordinates in the updated GIS database, ensuring the real-time and accuracy of the database.

[0201] See also Figure 8 , the steps to obtain the intelligent positioning and marking results of power cables are:

[0202] According to the synchronous update record of power cable location, the latest coordinates are extracted from the GIS database to prepare for map marking and obtain the marked coordinate list;

[0203] According to the marking coordinate list, the cable position is automatically marked using the formula,

[0204]

[0205] Calculate the mark value Mark(P GIS ,Map), and automatically add cable position marks on the map to generate map marking results, where p represents the linear coefficient of the map update operation, and l represents the root coefficient of the map update operation;

[0206] Based on the map marking results, check and confirm the accuracy and completeness of the markings, and generate the power cable intelligent positioning marking results.

[0207] Combined with the above calculation results, the coordinate value P is extracted GIS =191.4045.

[0208] p: Linear coefficient of map update operation, used for direct placement of marker positions, set to 0.9.

[0209] l: The root coefficient of the map update operation, used to handle the adjustment of map markers to adapt to the size and resolution of the map, set to 0.1.

[0210] Substituting into the formula, we get:

[0211]

[0212] Mark(191.4045, Map)≈172.26405+0.1×13.8349

[0213] Mark(191.4045,Map)=173.64754

[0214] The final mark value is 173.64754 (representing a specific geographic coordinate or a scalar value associated with a specific point on the map), indicating that the cable location mark automatically added to the GIS map has been completed. This value reflects the precise coordinate position of the mark on the map, ensuring real-time and accurate marking of the cable location.

[0215] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A power cable position intelligent marking and positioning system, characterized in that: The system comprises: The sensor data acquisition module deploys sensors to collect soil conductivity, humidity and temperature parameters, synchronizes the data in real time, summarizes and integrates different types of data through data integration, and generates the original collection data set; The position correction module collects the soil magnetic field strength value, combines it with the original collected data set, performs data normalization processing, determines the actual position of the power cable, calculates the deviation value between the actual position and the expected position, corrects the power cable position according to the calculation result, continuously updates the power cable position information, and obtains the accurate position information of the power cable; The electromagnetic characteristic analysis module conducts in-depth analysis on the electromagnetic signals emitted by the power cable, determines the signal strength and frequency distribution through spectrum analysis, and uses multi-point electromagnetic data to perform three-dimensional mapping of the power cable position based on the spectrum analysis results, calculates the accurate depth of the cable underground, and obtains the cable depth information analysis results; The position synchronization and marking module combines the accurate position information of the power cable and the analysis results of the cable depth information to finally locate the power cable, link the data with the GIS database, and synchronously update the real-time position information of the power cable. According to the synchronous update results, the power cable position is automatically marked on the GIS map to ensure the real-time accuracy of the power cable position and generate the power cable intelligent positioning and marking results.

2. The power cable position intelligent marking and positioning system according to claim 1 is characterized in that: The steps of obtaining the original acquisition data set are: Sensors are deployed underground and around cables. Each sensor independently collects soil conductivity, humidity and temperature parameters. The formula is used. P i =s i ×k Convert the original signal to generate a preprocessed data set, where s i is the original signal value of the i-th sensor, k is the sensitivity coefficient of the sensor, P i Represents the pre-processed data value of a single sensor; The preprocessed data set is synchronized in real time using the formula, Calculate the data change rate Q within the time window to generate the synchronized data set, where n is the total number of sensors and T represents the synchronization time window; According to the synchronized data set, data integration and difference type data induction are performed to identify and remove abnormal data points to generate the original collected data set.

3. The power cable position intelligent marking and positioning system according to claim 2 is characterized in that: The calculation steps of the deviation value between the actual position and the expected position are: Combined with the original data set, the soil magnetic field data set is obtained, and normalization processing is performed using the formula: Calculate for each data point M i The normalized value N i , generate a normalized data set, where M i is the measured magnetic field value of the data point, min(M) and max(M) are the minimum and maximum values ​​of the soil magnetic field dataset; Applying the normalized data set, the changes in soil magnetic field are analyzed using the formula, Calculate the weighted value P actual , analyze the actual position of the power cable and obtain the actual position determination result of the power cable, where w i represents the assigned weight, and Z is the number of samples; Based on the actual position determination result of the power cable, the actual position P is compared actual and the expected position P expected , using the formula, D=|P actual -P expected | Calculate the deviation value D and generate the position deviation analysis result.

4. The power cable position intelligent marking and positioning system according to claim 3 is characterized in that: The steps for obtaining the accurate position information of the power cable are as follows: According to the position deviation analysis results, the power cable position is corrected using the formula: P corrected =P actual -D Calculate the correction value P corrected , and obtain the power cable position correction result; According to the power cable position correction result, the cable position information is updated to ensure that the position information reflects the latest status, and updated cable position information is generated; The updated cable location information is integrated to determine the power cable location coordinates, and the location is recorded to generate accurate power cable location information.

5. The power cable position intelligent marking and positioning system according to claim 1 is characterized in that: The steps of determining the signal intensity and frequency distribution are: Deploy electromagnetic induction sensors along the cable path to collect electromagnetic signals, record the original electromagnetic waveform data, and use the formula: T(t)=Acos(2πft+φ) Perform waveform simulation to generate raw waveform data, where A is the amplitude, f is the frequency, φ is the phase, and T(t) represents the electromagnetic signal at time t; The original waveform data is subjected to fast Fourier transform to analyze the existence of difference frequency components, and the formula is used: Calculate the spectrum intensity F(ω) at frequency ω, analyze the signal component intensity, and generate spectrum analysis data; Based on the spectrum analysis data, the signal main frequency and intensity distribution are evaluated, using the formula, E(ω)=|F(ω)| 2 Calculate the energy density E(ω) at frequency ω, quantify the signal strength, evaluate the strength and distribution characteristics of the signal, and generate signal strength and frequency distribution analysis results.

6. The power cable position intelligent marking and positioning system according to claim 5 is characterized in that: The steps for obtaining the cable depth information analysis result are as follows: Based on the signal strength and frequency distribution analysis results, three-dimensional mapping is performed using the formula, Predict and output the three-dimensional position coordinates P(x, y, z) of the cable, where M(x, y, z) is the theoretical electromagnetic field strength value predicted based on geographic data; Based on the three-dimensional position coordinates of the cable, the z coordinate is corrected by geological and topographic data, using the formula, With corrected =z+δ Calculate and output the cable depth correction value z corrected , where δ is a correction value based on geological feedback; The cable position and depth are confirmed by combining the three-dimensional position coordinates of the cable and the cable depth correction value, and the three-dimensional coordinates P of the cable position are output. final (x, y, z corrected ) to obtain the cable depth information analysis results.

7. The power cable position intelligent marking and positioning system according to claim 6, characterized in that: The steps for synchronously updating the real-time position information of the power cable are as follows: Combined with the analysis results of the accurate location information of the power cable and the cable depth information, formatting is performed to match the input requirements of the GIS system, and the formula is used. Perform coordinate conversion and calculate the coordinate value P used in the GIS system GIS , get GIS compatible coordinates, where a, b and c are scaling factors to keep the coordinate scale consistent, and d is an adjustment factor used to increase the accuracy of position calculation; Based on the GIS compatible coordinates, data is linked to the GIS database and synchronized to the GIS database using the formula: Sync(P GIS )=g·P GIS +h·|P GIS | Calculate the coordinate synchronization value Sync(P GIS ), ensure that the cable location information in the GIS database is updated, and obtain the GIS database update record, where g represents the linear scaling factor of the database update operation, and h represents the nonlinear influence coefficient of the database update operation; According to the GIS database update record, the correctness of the GIS database update is verified, and the data is confirmed to be correctly stored in the GIS database, so as to ensure the accurate reflection of the power cable location information and obtain the power cable location synchronization update record.

8. The power cable position intelligent marking and positioning system according to claim 7 is characterized in that: The steps for obtaining the power cable intelligent positioning marking result are: According to the synchronous update record of the power cable position, the latest coordinates are extracted from the GIS database to prepare for map marking and obtain a marked coordinate list; According to the marking coordinate list, the cable position is automatically marked using the formula, Calculate the mark value Mark(P GI ,Map), and automatically add cable position marks on the map to generate map marking results, where p represents the linear coefficient of the map update operation, and l represents the root coefficient of the map update operation; Based on the map marking results, checks and confirmations are performed to confirm the accuracy and completeness of the markings, and intelligent positioning marking results for the power cables are generated.

Images