Underground cable investigation method and device for improving investigation precision

Abstract

The invention relates to the technical field of underground pipeline detection, and discloses an underground cable investigation method and device for improving the investigation precision, and the method comprises the steps: calculating a signal fluctuation index and a signal stability index, and quantifying the signal stability into a visual display stability coefficient, thereby facilitating the visual evaluation of the signal quality, and improving the investigation precision. And when the visual display stability coefficient is greater than or equal to a preset standard stability coefficient threshold value, underground cable investigation is performed by using the associated output signal, the accuracy and reliability of the investigation result are ensured, and meanwhile, through real-time monitoring and dynamic adjustment, manual intervention is reduced, and the automation level and efficiency of underground cable investigation are improved. Therefore, the technical problems of low efficiency and limited precision of a traditional exploration method are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of underground pipeline detection, and in particular to an underground cable survey method and device for improving survey accuracy. BACKGROUND

[0002] With the acceleration of urbanization and the continuous advancement of infrastructure construction, cables, as an important carrier of power transmission and information communication, play an increasingly important role in cities. However, traditional underground cable survey methods have been difficult to meet the needs of modern urban construction and management.

[0003] On the one hand, the number and variety of cables are increasing, making the distribution of cables more complex. On the other hand, traditional survey methods mainly rely on manual detection and experience-based judgment, which is not only inefficient but also limited in accuracy. Such methods have many drawbacks, such as being greatly affected by human factors, prone to missed or false detections, and other issues, resulting in inaccurate information about the location, orientation, and depth of cables, which poses great difficulties and risks for subsequent construction and maintenance.

[0004] In order to improve the accuracy and efficiency of underground cable survey, some new technologies and methods have emerged in recent years. For example, cable detectors based on electromagnetic induction principles can achieve rapid positioning of cables, but their accuracy is still affected by various factors such as interference signals and cable depth. The geological radar method can provide higher resolution and more accurate cable location information, but the equipment is expensive and requires higher technical skills for operators.

[0005] Therefore, it is particularly important to develop a method that can accurately and efficiently survey underground cables. This method needs to integrate various technologies and means, such as signal processing, data analysis, and visualization, to achieve accurate detection and positioning of underground cables, providing more reliable data support and technical support for urban construction and management. SUMMARY

[0006] The present application provides an underground cable survey method and device for improving survey accuracy, which solves the technical problems of low efficiency and limited accuracy of traditional survey methods.

[0007] The first aspect of the present application provides an underground cable survey method for improving survey accuracy, comprising:

[0008] Obtaining signal transmitter data, signal receiver data, environmental data, and cable measurement depth of the survey area;

[0009] Using the signal transmitter data, the signal receiver data, the environmental data, and the cable measurement depth, determining the signal fluctuation index and the signal stability index;

[0010] The signal fluctuation index and the signal stability index are used for proportional operation to obtain a visual display stability coefficient;

[0011] The visual display stability coefficient is compared with a preset standard stability coefficient threshold value;

[0012] When the visual display stability coefficient is greater than or equal to the preset standard stability coefficient threshold value, an output signal associated with the visual display stability coefficient is used for underground cable surveying.

[0013] Optionally, the method further comprises:

[0014] When the visual display stability coefficient is less than the preset standard stability coefficient threshold value, a signal optimization technique is used to adjust signal characteristic parameters associated with the transmitting end and the receiving end in the surveying area.

[0015] Optionally, the determination of the signal fluctuation index and the signal stability index based on the signal transmitting end data, the signal receiving end data, the environmental data, and the cable measurement depth comprises:

[0016] The signal fluctuation index is determined by inputting the signal transmitting end data into a preset fluctuation index function;

[0017] The target error coefficient associated with each signal characteristic parameter in the signal transmitting end data is determined based on the signal transmitting end data and the signal receiving end data;

[0018] The signal characteristic parameter associated with the signal fluctuation index is determined, and the target error coefficient associated with the signal characteristic parameter is taken as an environmental error coefficient;

[0019] The signal stability index is determined by inputting the cable measurement depth, the environmental data, the environmental error coefficient, the signal transmitting end data, and the signal receiving end data into a preset stability index function.

[0020] Optionally, the preset fluctuation index function is specifically:

[0021]

[0022] In the formula, represents the signal fluctuation index, represents the signal transmitting end data, , represents the total number of the signal transmitting end data.

[0023] Optionally, the determination of the target error coefficient associated with each signal characteristic parameter in the signal transmitting end data based on the signal transmitting end data and the signal receiving end data comprises:

[0024] adopting the signal transmitting end data and the signal receiving end data to carry out difference operation, a plurality of first differences are obtained;

[0025] adopting each of the first differences and the associated preset signal characteristic weight value to carry out multiplication operation, a plurality of first multiplications are obtained;

[0026] adopting each of the first multiplications to carry out sum operation, a first sum is obtained;

[0027] adopting each of the preset signal characteristic weight values to carry out sum operation, a second sum is obtained;

[0028] adopting the first sum and the second sum to carry out ratio operation, a weighted average error is obtained;

[0029] adopting the signal transmitting end data and the signal receiving end data to carry out sum operation, a plurality of third sums are obtained;

[0030] adopting each of the third sums to carry out mean value operation, a plurality of first means are obtained;

[0031] adopting the weighted average error and each of the first means to carry out ratio operation respectively, a target error coefficient associated with each signal characteristic parameter in the signal transmitting end data is obtained.

[0032] Optionally, the environmental data includes soil resistance value and soil humidity value, and the preset stability index function is specifically:

[0033]

[0034] In the formula, represents the signal stability index, represents the signal receiving end data, , represents the total number of the signal receiving end data, represents the soil resistance value, represents the cable measurement depth, represents the soil humidity value, represents the environmental error coefficient.

[0035] The second aspect of the present application provides an underground cable survey device for improving surveying accuracy, comprising:

[0036] a response module, configured to acquire signal transmitting end data, signal receiving end data, environmental data and cable measurement depth of a surveying area;

[0037] a first operation module, configured to determine signal fluctuation index and signal stability index by using the signal transmitting end data, the signal receiving end data, the environmental data and the cable measurement depth.

[0038] a second operation module, configured to perform proportional operation on the signal fluctuation index and the signal stability index to obtain a visual display stability coefficient;

[0039] a comparison module, configured to compare the visual display stability coefficient with a preset standard stability coefficient threshold value;

[0040] a survey module, configured to, when the visual display stability coefficient is greater than or equal to the preset standard stability coefficient threshold value, perform underground cable survey by using an output signal associated with the visual display stability coefficient.

[0041] The third aspect of the present application provides an electronic device, comprising a memory and a processor, the memory stores a computer program, and the computer program is executed by the processor to make the processor execute the steps of the underground cable survey method for improving survey precision according to any one of the above aspects.

[0042] The fourth aspect of the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed to implement the underground cable survey method for improving survey precision according to any one of the above aspects.

[0043] The fifth aspect of the present application provides a computer program product, which comprises a computer program stored on a non-transitory computer readable storage medium, and the computer program comprises program instructions, wherein when the program instructions are executed by a computer, the computer executes the underground cable survey method for improving survey precision according to any one of the above aspects.

[0044] From the above technical solutions, the present application has the following advantages:

[0045] The present application quantifies the signal stability as a visual display stability coefficient by calculating the signal fluctuation index and the signal stability index, which facilitates intuitive evaluation of signal quality, and when the visual display stability coefficient is greater than or equal to the preset standard stability coefficient threshold value, the associated output signal is used for underground cable survey, thereby ensuring the accuracy and reliability of the survey results, and at the same time, through real-time monitoring and dynamic adjustment, the manual intervention is reduced, and the automation level and efficiency of the underground cable survey are improved. BRIEF DESCRIPTION OF DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0047] Figure 1 A step flow chart of a method for underground cable surveying with improved surveying accuracy provided by the first embodiment of the present application.

[0048] Figure 2 A step flow chart of a method for underground cable surveying with improved surveying accuracy provided by the second embodiment of the present application.

[0049] Figure 3 A structural block diagram of an underground cable surveying system provided by the second embodiment of the present application.

[0050] Figure 4 A structural block diagram of an underground cable surveying device with improved surveying accuracy provided by the third embodiment of the present application.

[0051] Figure 5 A structural block diagram of a computer device provided by the fourth embodiment of the present application. DETAILED DESCRIPTION

[0052] The embodiments of the present application provide a method and device for underground cable surveying with improved surveying accuracy, which have the advantages of high efficiency and high precision, and are used to solve the technical problems of low efficiency and limited precision of the traditional surveying method.

[0053] In order to make the purposes, features and advantages of the present application more obvious and easy to understand, the technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the following described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0054] Please refer to Figure 1 , Figure 1 A step flow chart of a method for underground cable surveying with improved surveying accuracy provided by the first embodiment of the present application.

[0055] The method for underground cable surveying with improved surveying accuracy provided by the present application comprises:

[0056] Step 101, acquiring signal transmitting end data, signal receiving end data, environment data and cable measurement depth of a surveying area.

[0057] Survey area refers to a specific geographical range or spatial area that needs to be surveyed for underground cables.

[0058] Signal transmitting end data refers to signal characteristic parameters output from a signal transmitting device (such as an electromagnetic wave transmitter or a geological radar transmitting source).

[0059] Signal receiving end data refers to characteristic parameters of underground reflected or propagated signals collected by a receiving device (such as an electromagnetic wave receiver or a geological radar antenna).

[0060] Environmental data refers to external environmental parameters in the survey area that may affect signal propagation and measurement accuracy.

[0061] Cable measurement depth refers to the vertical distance from the top of the cable to the ground surface determined by exploration methods.

[0062] It is worth mentioning that exploration methods include geological radar methods and resistivity methods. Cable measurement depth can be obtained using geological radar methods or resistivity methods.

[0063] In the embodiments of the present application, signal transmitting end data, signal receiving end data, environmental data, and cable measurement depth associated with the survey area that needs to be surveyed for underground cables are obtained.

[0064] Step 102, using signal transmitting end data, signal receiving end data, environmental data, and cable measurement depth, determine signal fluctuation index and signal stability index.

[0065] Signal fluctuation index refers to an index for quantifying the quality of the original signal at the transmitting end, specifically representing the standard deviation, reflecting the degree of dispersion of signal data distribution. When the signal fluctuation index value is smaller, it indicates that the signal data distribution is more concentrated and the fluctuation is smaller; when the signal fluctuation index value is larger, it indicates that the signal fluctuation is larger.

[0066] Signal stability index refers to an index for quantifying the overall stability of the signal at the receiving end, reflecting the overall fluctuation state of the signal after propagation in the underground medium affected by medium attenuation, environmental interference, and system errors. Its value comprehensively evaluates the reliability of the whole link from signal transmission to reception.

[0067] In the embodiments of the present application, the signal fluctuation index is determined by inputting the signal transmitting end data into a preset fluctuation index function; then the environmental error coefficient is determined using the signal transmitting end data and the signal receiving end data, and the signal stability index is determined by inputting the cable measurement depth, environmental data, signal transmitting end data, and signal receiving end data into a preset stability index function.

[0068] Step 103, perform proportional operation on the signal fluctuation index and the signal stability index to obtain the visual display stability coefficient.

[0069] The visual display stability coefficient refers to an index obtained by proportional operation of the signal fluctuation index and the signal stability index, and is used for quantifying the stability change degree of the signal from the whole process of transmission to reception, and is used as a standard for evaluating the quality of the output signal.

[0070] In the embodiment of the present application, the signal fluctuation index and the signal stability index are used for proportional operation, and the visual display stability coefficient for quantifying the stability change degree of the signal from the whole process of transmission to reception is obtained, so that the ability of the system to suppress signal fluctuation or the influence degree of environmental interference can be intuitively judged.

[0071] Step 104, comparing the visual display stability coefficient with a preset standard stability coefficient threshold.

[0072] The preset standard stability coefficient threshold refers to a critical value preset for determining whether the current survey data meets the quality requirement.

[0073] In the embodiment of the present application, the visual display stability coefficient is compared with the preset standard stability coefficient threshold.

[0074] Step 105, when the visual display stability coefficient is greater than or equal to the preset standard stability coefficient threshold, the output signal associated with the visual display stability coefficient is used for underground cable survey.

[0075] The output signal refers to the data collected from the signal receiving end after processing, that is, the output signal output by the transmitting end received by the receiving end associated with the signal receiving end data, and the signal receiving end data is the signal characteristic parameter of the output signal.

[0076] In the embodiment of the present application, when the visual display stability coefficient is greater than or equal to the preset standard stability coefficient threshold, it indicates that the signal fluctuation index associated with the transmitting end signal before departure is qualified, the signal stability index associated with the receiving end signal after arrival is reliable, and only the output signal that meets the reliability requirement after being screened by the preset standard stability coefficient threshold can be used for underground cable survey.

[0077] It should be noted that the underground cable survey includes accurate positioning, risk warning, etc. It is worth mentioning that the present application mainly evaluates the quality of the output signal in the process of underground cable survey to ensure the accuracy and reliability of the output signal used for underground cable survey.

[0078] The underground cable survey method for improving survey precision provided by the embodiment two of the present application comprises the steps of: collecting signal data of a signal transmission end and a signal receiving end; processing the signal data; evaluating the signal data; and controlling the signal data.

[0079] Please refer to Figure 2 , Figure 2 The step flow chart of the underground cable survey method for improving survey precision provided by the embodiment two of the present application.

[0080] The underground cable survey method for improving survey precision provided by the present application is applied to an underground cable survey system, and the underground cable survey system comprises a digital signal collection module, a digital signal processing module, a digital signal evaluation module and a digital signal control module which are sequentially connected in communication.

[0081] The digital signal collection module comprises a signal transmission end data unit, a signal receiving end data unit, an environmental data unit and a measurement depth data unit.

[0082] The signal transmission end data unit is used for acquiring signal transmission end data through sensor acquisition, external data input and internal data generation.

[0083] The signal transmission end data unit is also used for classifying and numbering the signal transmission end data and sending the numbered data to the digital signal processing module through a network.

[0084] Specifically,

[0085] The signal transmission end data unit numbers the signal transmission end data according to the signal characteristics of the signal transmission end data and allocates a unique number to each signal to facilitate subsequent data processing and analysis. 、 、 、… .

[0086] The signal characteristics of the signal transmission end data refer to the unique attributes and patterns exhibited by the signal in the transmission process, including signal strength, frequency, phase and time stamp.

[0087] The signal receiving end data unit is used for acquiring signal receiving end data through sensor acquisition, wired connection input and wireless reception.

[0088] The signal receiving end data unit is further configured to classify and number the signal receiving end data, and send the numbered data to the digital signal processing module through a network.

[0089] Specifically,

[0090] The signal receiving end data unit numbers the signal receiving end data according to signal characteristics of the signal receiving end data, and assigns a unique number to each received signal, so as to facilitate subsequent data processing and analysis. 、 、 ,… ;

[0091] The signal characteristics of the signal receiving end data refer to signal properties and patterns obtained by measurement and analysis during signal reception, including signal strength, frequency, phase, waveform, signal-to-noise ratio, time delay, and time stamp.

[0092] The environmental data unit is configured to obtain environmental data through real-time survey data collection, sensors, and online environmental monitoring instruments.

[0093] The environmental data unit is further configured to classify and number the environmental data, and send the numbered data to the digital signal processing module through a network.

[0094] Specifically,

[0095] The environmental data unit numbers the environmental data according to signal characteristics of the environmental data, wherein the environmental data includes soil resistance value and soil humidity value. The soil resistance value and the soil humidity value are numbered, and each measured value is assigned a unique number, so as to facilitate subsequent data processing and analysis. 、 .

[0096] The measurement depth data unit is configured to obtain cable measurement depth by using a geological radar method or a resistivity method, and send the measurement depth to the digital signal processing module through a network.

[0097] The signal transmitting end data unit, the signal receiving end data unit, the environmental data unit, and the measurement depth data unit are connected to the visual display unit.

[0098] The visual display unit is configured to convert the signal transmitting end data, the signal receiving end data, the environmental data, and the cable measurement depth into the signal transmitting end data, the signal receiving end data, the environmental data, and the cable measurement depth.

[0099] The digital signal processing module includes a signal fluctuation processing unit, a signal stability adjustment unit, and a visual data stability display unit.

[0100] a signal fluctuation processing unit configured to calculate a signal fluctuation index based on the signal transmitting end data;

[0101] a signal stability adjustment unit configured to calculate a signal stability index based on the signal transmitting end data, the signal receiving end data, the environmental data, and the cable measurement depth;

[0102] a visual data stability display unit configured to calculate a visual display stability coefficient based on the signal fluctuation index and the signal stability index;

[0103] The signal fluctuation processing unit, the signal stability adjustment unit, and the visual data stability display unit perform step-by-step calculations and are connected to the digital signal evaluation module through a network;

[0104] The digital signal evaluation module compares the visual display stability coefficient with a preset standard stability coefficient threshold value. When the visual display stability coefficient is less than the preset standard stability coefficient threshold value, the digital signal evaluation module transmits to the digital signal control module through a network, issues a signal optimization instruction through the digital signal control module, and adjusts the signal characteristic parameters associated with the transmitting end and the receiving end in the survey area using signal optimization technology.

[0105] The digital signal evaluation module also compares the signal fluctuation index with a preset fluctuation index threshold value. When the signal fluctuation index is greater than the preset fluctuation index threshold value, the digital signal evaluation module transmits to the digital signal control module through a network, issues a signal optimization instruction through the digital signal control module, and adjusts the signal characteristic parameters associated with the transmitting end and the receiving end in the survey area using signal optimization technology.

[0106] The digital signal control module is configured to issue a signal optimization instruction.

[0107] A method for improving the accuracy of underground cable surveying includes:

[0108] Step 201: Obtain signal transmitting end data, signal receiving end data, environmental data, and cable measurement depth of the survey area.

[0109] Note that the transmitting end is a device or part responsible for generating and sending signals, and its output signal is the starting point of transmission.

[0110] The receiving end is a device or part responsible for receiving and processing signals from the transmitting end, and its input signal is the received signal, and its output signal is the processed result.

[0111] In underground cable surveying applications, the transmitting end generates and sends input signals to the underground cable, while the receiving end receives and processes output signals returned from the underground cable. By analyzing these signals, information about the position, state, and characteristics of the underground cable can be obtained.

[0112] In the embodiment of the present application, the implementation process of step 201 is similar to step 101, which is not described here again.

[0113] It is worth mentioning that the cable measurement depth refers to the vertical distance from the ground surface to the position where the underground cable is located.

[0114] Geological radar method: geological radar is used to emit high-frequency electromagnetic waves to the underground. When the electromagnetic waves propagate in the underground, they will be reflected when encountering the interface of different media (such as the interface between the cable and the surrounding soil). The reflected waves are received by the receiving antenna. The propagation speed of electromagnetic waves in the medium is known (related to the electromagnetic properties of the medium, generally obtained through preliminary testing of the medium in the region or empirical value) The time difference between the transmitted wave and the reflected wave is measured The cable measurement depth is calculated according to the formula Because the electromagnetic waves propagate back and forth, it is divided by 2.

[0115]

[0116] As a preferred embodiment, the present application can also use the resistivity method in electrical prospecting to infer the underground structure by measuring the resistivity distribution of the underground cable. The electrode spacing is a key parameter in the resistivity method, which is used to control the measurement depth. Before conducting the resistivity method prospecting, the staff will design and arrange the electrode arrangement according to the approximate depth of the prospecting target, geological conditions and other factors, thereby directly determining and setting the electrode spacing data. Therefore, in the specific implementation, the formula can be packaged in the following form:

[0117]

[0118] In the formula, represents the electrode spacing data, represents the preset depth coefficient, which is an empirical coefficient and can be taken as 0.3-0.5.

[0119] Step 202, using the signal transmitting end data, the signal receiving end data, the environment data and the cable measurement depth, to determine the signal fluctuation index and the signal stability index.

[0120] Further, step 202 can include the following sub-steps:

[0121] S11, inputting the signal transmitting end data into the preset fluctuation index function to determine the signal fluctuation index.

[0122] Further, the preset fluctuation index function is specifically:

[0123]

[0124] In the formula, a signal fluctuation index, representing signal transmitter data, , representing the total number of signal transmitter data.

[0125] It should be noted that, representing the first signal transmitter data, representing the average value of the signal transmitter data, representing the square of the deviation of each signal transmitter data from the average value, representing the sum of the squares of the deviations of all signal transmitter data points, representing the formula divided by is an unbiased estimate form of the standard deviation.

[0126] It is worth mentioning that the signal fluctuation index in the present application not only can be used as an intermediate quantity for calculating and visualizing the stability coefficient, but also can be used as an evaluation index for signal optimization. Specifically, it is an index for evaluating the quality of input signals. When the signal fluctuation index is greater than the preset fluctuation index threshold, the digital signal evaluation module transmits to the digital signal control module through the network, issues a signal optimization instruction through the digital signal control module, and adjusts the signal characteristic parameters associated with the transmitter and receiver in the survey area by using signal optimization technology.

[0127] The preset fluctuation index threshold can be determined according to the standard value range of the index preset by historical data, and the index and the preset fluctuation index threshold provide a basis for subsequent signal processing and adjustment. When the signal fluctuation index exceeds the preset fluctuation index threshold, the digital signal control module will take corresponding measures to stabilize the signal according to the evaluation information of the digital signal evaluation module, such as adjusting the gain of the amplifier or the attenuator to make the signal strength return to the normal range, or optimizing the signal transmission path to determine the good connection to reduce the signal fluctuation caused by poor contact or interference. When the digital signal evaluation module detects that the current signal fluctuation is small, the current processing strategy can be maintained to save the algorithm resources of the digital signal processing module for calculation and the energy consumption resources of the digital signal control module for measure implementation.

[0128] S12, using the signal transmitter data and the signal receiver data, determines the target error coefficient associated with each signal characteristic parameter in the signal transmitter data.

[0129] Further, S12 can include the following sub-steps:

[0130] S121, using the signal transmitter data and the signal receiver data for difference operation, obtaining a plurality of first differences.

[0131] S122, multiply each first difference value with the associated preset signal feature weight value to obtain a plurality of first products.

[0132] S123, sum each first product to obtain a first sum value.

[0133] S124, sum each preset signal feature weight value to obtain a second sum value.

[0134] S125, divide the first sum value by the second sum value to obtain a weighted average error.

[0135] S126, sum the signal transmitting end data and the signal receiving end data to obtain a plurality of third sum values.

[0136] S127, average each third sum value to obtain a plurality of first average values.

[0137] S128, divide the weighted average error by each first average value to obtain a target error coefficient associated with each signal feature parameter in the signal transmitting end data.

[0138] To facilitate understanding, the following provides a specific application example of calculating the target error coefficient:

[0139] The signal feature parameters in the signal transmitting end data and the signal receiving end data include signal strength, frequency, phase, and timestamp;

[0140] Suppose the obtained signal transmitting end data

[0141] Signal strength (dBm): 100

[0142] Frequency (Hz): 1000

[0143] Phase (°): 45

[0144] Timestamp (ms): 500

[0145] Suppose the obtained signal receiving end data

[0146] Signal strength (dBm): 95

[0147] Frequency (Hz): 1005

[0148] Phase (°): 48

[0149] Timestamp (ms): 510

[0150] Suppose the environment data and electrode interval data (these data do not affect error calculation)

[0151] Ambient noise intensity (dBm): 20

[0152] Electrode spacing (m): 1

[0153] First, a first difference is calculated, which represents the error between the characteristic parameters of the transmitting end signal and the characteristic parameters of the receiving end signal:

[0154] Signal strength error:

[0155] Frequency error:

[0156] Phase error:

[0157] Timestamp error:

[0158] Second, perform weighted averaging:

[0159] Assume that signal strength and frequency are more important and therefore have higher weights. For example:

[0160] Signal strength weight value: w1 = 0.4

[0161] Frequency weight value: w2 = 0.3

[0162] Phase weight value: w3 = 0.2

[0163] Timestamp weight value: w4 = 0.1

[0164] The first difference and the preset signal feature weight value associated with each signal feature parameter are respectively used for weighting:

[0165] 0.4×5+0.3×5+0.2×3+0.1×10=5.1

[0166] 0.4+0.3+0.2+0.1=1

[0167] Among them, 5.1 represents the first sum value, and 1 represents the second sum value.

[0168] The signal characteristic parameters take signal strength as an example:

[0169] 100+95=195

[0170] Here, 195 represents the third sum value of the signal strength association.

[0171] This takes the mean of the third sum:

[0172] 195÷2=97.5

[0173] Here, 97.5 represents the first mean value of the signal strength correlation.

[0174] The target error coefficient of the signal strength correlation is obtained by ratio operation of the first mean value and the weighted average error of the signal strength correlation.

[0175] 5.1÷97.5≈0.0521

[0176] Wherein, 0.0521 represents the target error coefficient of the signal strength correlation.

[0177] Through the above process, the error coefficient generated by the measurement in the noise environment is obtained as 0.0521, which is substituted into the preset stability index function to solve the signal stability index. The target error coefficients of other signal characteristic parameters correlations are calculated in the same way, which will not be repeated here.

[0178] S13, determine the signal characteristic parameters related to the signal fluctuation index, and take the target error coefficient of the signal characteristic parameters correlation as the environmental error coefficient.

[0179] It should be noted that, for example, when calculating the signal fluctuation index and the signal stability index, the signal strength is used to calculate the signal transmitting end data and the signal receiving end data. Therefore, the target error coefficient of the signal strength correlation is selected from the multiple target error coefficients calculated in step S12 as the environmental error coefficient.

[0180] S14, input the cable measurement depth, the environmental data, the environmental error coefficient, the signal transmitting end data and the signal receiving end data into the preset stability index function to determine the signal stability index.

[0181] Further, the environmental data includes the soil resistance value and the soil humidity value, and the preset stability index function is specifically:

[0182]

[0183] In the formula, represents the signal stability index, represents the signal receiving end data, , represents the total number of the signal receiving end data, represents the soil resistance value, represents the cable measurement depth, represents the soil humidity value, represents the environmental error coefficient, which is the error coefficient generated by the measurement in the noise environment.

[0184] It should be noted that, represents the first signal receiving end data, represents the pi (take 3.14), represents the soil resistivity, Indicates the influence coefficient of environmental humidity on the survey.

[0185] It is worth mentioning that, according to the change of soil moisture content, the calculation result of soil resistivity is adjusted, when the soil moisture content is low, then the soil resistivity is sensitive to the change of humidity; by calculating the signal stability index, the formula integrates the data difference of signal transmitting end and receiving end, soil resistance, environmental humidity and measurement error factors, and the signal stability index is calculated by the corresponding data of the above factors, which is helpful to comprehensively evaluate the fluctuation state of the output signal, and according to the change of soil moisture content, the calculation result of soil resistivity is adjusted in the formula, so that when the soil moisture content is low, the soil resistivity is sensitive to the change of humidity, thereby improving the accurate evaluation ability of the survey method to the signal stability in different environments.

[0186] Step 203, proportional operation is performed on the signal fluctuation index and the signal stability index to obtain the visual display stability coefficient.

[0187] In specific implementation, the above process is encapsulated into the form of formula:

[0188]

[0189] In the formula, indicates the visual display stability coefficient.

[0190] It should be noted that the signal fluctuation index and the signal stability index are used for proportional operation to obtain the visual display stability coefficient, which can be used as a standard for evaluating the quality of the output signal.

[0191] Step 204, compare the visual display stability coefficient with the preset standard stability coefficient threshold.

[0192] It should be noted that a preset standard stability coefficient threshold is set as a reference benchmark based on historical data, and the visual display stability coefficient is compared with the preset standard stability coefficient threshold.

[0193] Step 205, when the visual display stability coefficient is greater than or equal to the preset standard stability coefficient threshold, the output signal associated with the visual display stability coefficient is used for underground cable survey.

[0194] It should be noted that when the visual display stability coefficient is greater than or equal to the preset standard stability coefficient threshold, the visual display is in a stable state, and the current signal parameters can be maintained unchanged, so the output signal associated with the visual display stability coefficient can be used for underground cable survey.

[0195] It is necessary to point out that the acquisition of the cable measurement depth in step 201 is part of the preliminary survey, while the use of the output signal of the visualization display of the stability coefficient correlation for underground cable survey is to verify and supplement the preliminary data, to ensure the accuracy and reliability of the survey results. The two steps complement each other and together constitute a complete underground cable survey process.

[0196] It is worth mentioning that the use of the output signal of the visualization display of the stability coefficient correlation for underground cable survey, specifically:

[0197] T1, high-precision positioning technology: using optimized signal feature parameters (such as signal-to-noise ratio and phase error), combined with ground penetrating radar (GPR) technology, to accurately locate the position and depth of underground cables;

[0198] T2, intelligent analysis software: develop or use existing intelligent analysis software that can automatically identify the path, branch points and possible fault points of underground cables based on optimized signal data. The software can continuously learn and improve its accuracy through machine learning algorithms;

[0199] T3, real-time monitoring and feedback system: during the field survey, a real-time monitoring system is established that can display the survey signal state adjusted by the digital signal control module in real time, and allow the operator to make fine adjustments according to the actual situation, at the same time, the system should be able to provide a feedback mechanism to quickly respond when encountering unexpected interference;

[0200] T4, multi-source data fusion: combine data from different sensors and devices (such as geological radar, magnetometer, gravimeter) with optimized cable signal data to obtain a more comprehensive underground image;

[0201] T5, safety and compliance check: before any excavation or drilling, it must be ensured that all activities comply with local regulations and safety standards;

[0202] T6, follow-up verification and maintenance: after completing the preliminary survey, the discovered cable lines should be tested for verification to ensure their integrity and functionality, and a regular maintenance plan should be established to monitor the performance changes of the cables and prevent potential problems.

[0203] Step 206, when the visualization display stability coefficient is less than the preset standard stability coefficient threshold, the signal optimization technology is used to adjust the signal characteristic parameters associated with the transmitting end and receiving end in the survey area.

[0204] It should be noted that when the visualization stability coefficient is less than the preset standard stability coefficient threshold, the visualization stability coefficient is less than the preset standard stability coefficient threshold, at this time in order to improve the visualization stability coefficient, the signal optimization technology is used to adjust the signal characteristic parameters associated with the transmitting end and the receiving end in the survey area.

[0205] It is worth mentioning that the signal optimization technology refers to reducing the distortion and uncertainty of the signal itself by switching the high-precision waveform generator (since the high-precision waveform generator can generate accurate and stable signal waveforms), and using advanced PWM technology to control the duty cycle and frequency parameters of the signal. This measure helps to optimize signal transmission and processing, thereby reducing signal distortion caused by environmental influences during transmission. By real-time collection of output signal data and comparison with standard signal parameters, when the digital signal evaluation module detects that the visualization stability coefficient deviates from the preset standard stability coefficient threshold, the digital signal control module can adjust the signal characteristic parameters (amplitude, frequency, phase parameters, signal-to-noise ratio, and phase error, etc.) in real time according to the deviation between the visualization stability coefficient and the preset standard stability coefficient threshold, to ensure the high stability and low distortion of the output signal.

[0206] It should be noted that deviation refers to any inconsistency between the visualization stability coefficient and the preset standard stability coefficient threshold, whether positive or negative, and appropriate measures should be taken to correct or optimize according to the specific situation

[0207] Minor deviation: When the visualization stability coefficient is only slightly higher or lower than the preset standard stability coefficient threshold, it may not immediately trigger adjustment measures, but as an indicator of monitoring to observe whether it continues to deviate or has a further deterioration trend.

[0208] Significant deviation: When the visualization stability coefficient is much higher or lower than the preset standard stability coefficient threshold, it indicates that the stability of the output signal has deviated significantly from the standard level, and immediate measures need to be taken to adjust. For example, switching to a high-precision waveform generator or using advanced PWM technology to optimize the signal.

[0209] The present application quantifies the signal stability as a visualization stability coefficient by calculating the signal fluctuation index and the signal stability index, which facilitates intuitive evaluation of signal quality. When the visualization stability coefficient is greater than or equal to the preset standard stability coefficient threshold, the associated output signal is used for underground cable surveying, ensuring the accuracy and reliability of the survey results. At the same time, through real-time monitoring and dynamic adjustment, manual intervention is reduced, and the automation level and efficiency of underground cable surveying are improved. Thus, the technical problems of low efficiency and limited precision of traditional survey methods are solved.

[0210] Please refer to Figure 4, Figure 4 A structural block diagram of an underground cable survey device for improving survey precision is provided for embodiment three of the present application.

[0211] The present application provides an underground cable survey device for improving survey precision, comprising:

[0212] The response module 301 is configured to acquire signal transmitting end data, signal receiving end data, environmental data and cable measurement depth of the survey area.

[0213] The first operation module 302 is configured to determine a signal fluctuation index and a signal stability index by using the signal transmitting end data, the signal receiving end data, the environmental data and the cable measurement depth.

[0214] The second operation module 303 is configured to perform proportional operation on the signal fluctuation index and the signal stability index to obtain a visual display stability coefficient.

[0215] The comparison module 304 is configured to compare the visual display stability coefficient with a preset standard stability coefficient threshold.

[0216] The survey module 305 is configured to perform underground cable survey by using an output signal associated with the visual display stability coefficient when the visual display stability coefficient is greater than or equal to the preset standard stability coefficient threshold.

[0217] Further, the present application further comprises:

[0218] The parameter adjustment module is configured to adjust signal characteristic parameters associated with the transmitting end and the receiving end in the survey area by using a signal optimization technique when the visual display stability coefficient is less than the preset standard stability coefficient threshold.

[0219] Further, the first operation module 302 comprises:

[0220] The signal fluctuation index submodule is configured to input the signal transmitting end data into a preset fluctuation index function to determine the signal fluctuation index.

[0221] The target error coefficient submodule is configured to determine a target error coefficient associated with each signal characteristic parameter in the signal transmitting end data by using the signal transmitting end data and the signal receiving end data.

[0222] The environmental error coefficient submodule is configured to determine a signal characteristic parameter associated with the signal fluctuation index, and use a target error coefficient associated with the signal characteristic parameter as an environmental error coefficient.

[0223] The signal stability index submodule is configured to input the cable measurement depth, the environmental data, the environmental error coefficient, the signal transmitting end data and the signal receiving end data into a preset stability index function to determine the signal stability index.

[0224] Further, the preset fluctuation index function is specifically:

[0225]

[0226] wherein, represents the signal fluctuation index, represents the signal transmission end data, , represents the total number of the signal transmission end data.

[0227] Further, the target error coefficient submodule comprises:

[0228] a first difference unit, configured to perform difference operation on the signal transmission end data and the signal reception end data to obtain a plurality of first differences;

[0229] a first multiplication unit, configured to perform multiplication operation on each of the first differences and an associated preset signal feature weight value to obtain a plurality of first products;

[0230] a first sum unit, configured to perform sum operation on each of the first products to obtain a first sum;

[0231] a second sum unit, configured to perform sum operation on each of the preset signal feature weight values to obtain a second sum;

[0232] a weighted average error unit, configured to perform ratio operation on the first sum and the second sum to obtain a weighted average error;

[0233] a third sum unit, configured to perform sum operation on the signal transmission end data and the signal reception end data to obtain a plurality of third sums;

[0234] a first mean unit, configured to perform mean operation on each of the third sums to obtain a plurality of first means;

[0235] an error coefficient determination unit, configured to perform ratio operation on the weighted average error and each of the first means respectively to obtain a target error coefficient associated with each signal feature parameter in the signal transmission end data.

[0236] Further, the environmental data comprises a soil resistance value and a soil humidity value, and the preset stability index function is specifically:

[0237]

[0238] wherein, represents the signal stability index, represents the signal reception end data, , represents the total number of the signal reception end data, represents the soil resistance value, representing the depth of the cable measurement, representing the soil humidity value, representing the environmental error coefficient.

[0239] The present application quantifies the signal stability by calculating the signal fluctuation index and the signal stability index, and visualizes the stability coefficient, which facilitates intuitive evaluation of the signal quality, and when the visualized stability coefficient is greater than or equal to a preset standard stability coefficient threshold, the associated output signal is used for underground cable surveying, ensuring the accuracy and reliability of the surveying results, and at the same time, through real-time monitoring and dynamic adjustment, manual intervention is reduced, and the automation level and efficiency of underground cable surveying are improved. Thus, the technical problems of low efficiency and limited precision of the traditional surveying method are solved.

[0240] Please refer to Figure 5 , Figure 5 The structural block diagram of a computer device provided for the fourth embodiment of the present application.

[0241] The electronic device of the embodiment of the present application, the electronic device comprising: a memory 401 and a processor 402, the memory 401 storing a computer program; the computer program being executed by the processor 402 to make the processor 402 execute the underground cable surveying method for improving surveying precision according to any one of the above embodiments.

[0242] The memory 401 can be an electronic memory such as a flash memory, an EEPROM (Electrically Erasable Programmable Read-Only Memory), an EPROM, a hard disk, or a ROM. The memory 401 has a storage space 403 for program codes 413 for executing any of the method steps described above. For example, the storage space 403 for program codes can include individual program codes 413 for implementing various steps in the above method, respectively. These program codes can be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, compact disks (CDs), memory cards, or floppy disks. The program codes can be compressed in an appropriate form, for example. These codes, when executed by a computing processing device, cause the computing processing device to perform the individual steps in the above-described method for improving surveying precision of underground cable surveying. These program codes can be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, compact disks (CDs), memory cards, or floppy disks. The program codes can be compressed in an appropriate form, for example. These codes, when executed by a computing processing device, cause the computing processing device to perform the individual steps in the above-described method for improving surveying precision of underground cable surveying.

[0243] The embodiment five of the present application further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the underground cable survey method for improving survey precision according to any one of the above embodiments.

[0244] The embodiment six of the present application further provides a computer program product, which comprises a computer program stored on a non-transitory computer readable storage medium, and the computer program comprises program instructions, wherein when the program instructions are executed by a computer, the computer executes the underground cable survey method for improving survey precision according to any one of the above embodiments.

[0245] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described system, device and unit can refer to the corresponding processes in the foregoing method embodiments, and will not be described here.

[0246] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other manners. For example, the above-described device embodiments are merely schematic, and the division of units is merely a logical function division, and there can be another division manner in actual implementation, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed coupling or direct coupling or communication connection between units can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or in other forms.

[0247] The units described as separated components can or can not be physically separated, and the components displayed as units can or can not be physical units, that is, can be located in one place, or can be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purposes of the embodiments.

[0248] In addition, each functional unit in the embodiments of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be in the form of hardware or in the form of software functional unit.

[0249] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application or the entire or part of the technical solutions that essentially contribute to the prior art can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the various embodiment methods of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0250] The above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacements for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for underground cable surveying with improved survey accuracy, characterized in that: include: Obtain signal transmitter data, signal receiver data, environmental data, and cable measurement depth in the survey area; Determining a signal fluctuation index and a signal stability index using the signal transmitting end data, the signal receiving end data, the environmental data, and the cable measurement depth; Performing a proportional operation using the signal fluctuation index and the signal stability index to obtain a visual display stability coefficient; comparing the visually displayed stability coefficient with a preset standard stability coefficient threshold; When the visual display stability coefficient is greater than or equal to the preset standard stability coefficient threshold, underground cable survey is performed using the output signal associated with the visual display stability coefficient.

2. The underground cable survey method for improving survey accuracy according to claim 1, characterized in that: Also includes: When the visual display stability coefficient is less than the preset standard stability coefficient threshold, a signal optimization technology is used to adjust the signal characteristic parameters associated with the transmitting end and the receiving end in the survey area.

3. The underground cable survey method for improving survey accuracy according to claim 1, characterized in that: The determining of a signal fluctuation index and a signal stability index by using the signal transmitting end data, the signal receiving end data, the environmental data, and the cable measurement depth includes: Using the signal transmitting end data to input a preset fluctuation index function to determine the signal fluctuation index; Determining a target error coefficient associated with each signal characteristic parameter in the signal transmitting end data using the signal transmitting end data and the signal receiving end data; Determining a signal characteristic parameter associated with the signal fluctuation index, and using a target error coefficient associated with the signal characteristic parameter as an environmental error coefficient; The cable measurement depth, the environmental data, the environmental error coefficient, the signal transmitting end data and the signal receiving end data are input into a preset stability index function to determine a signal stability index.

4. The underground cable survey method for improving survey accuracy according to claim 3, characterized in that: The preset volatility index function is specifically: Where, represents the signal fluctuation index, Indicates the signal transmitting end data, , Indicates the total number of data at the signal transmitting end.

5. The underground cable survey method for improving survey accuracy according to claim 3, characterized in that: The determining, using the signal transmitting end data and the signal receiving end data, a target error coefficient associated with each signal characteristic parameter in the signal transmitting end data includes: Performing a difference operation on the signal transmitting end data and the signal receiving end data to obtain a plurality of first difference values; Performing a multiplication operation on each of the first differences and an associated preset signal feature weight value to obtain a plurality of first product values; Performing a sum operation using each of the first product values ​​to obtain a first sum; Performing a sum operation using the preset signal feature weight values ​​to obtain a second sum; performing a ratio operation on the first sum value and the second sum value to obtain a weighted average error; performing a sum operation using the signal transmitting end data and the signal receiving end data to obtain a plurality of third sum values; Performing an average operation using each of the third sums to obtain a plurality of first averages; The weighted average error is respectively ratio-calculated with each of the first means to obtain a target error coefficient associated with each signal characteristic parameter in the signal transmitting end data.

6. The underground cable survey method for improving survey accuracy according to claim 3, characterized in that: The environmental data includes soil resistance value and soil moisture value, and the preset stability index function is specifically: Where, represents the signal stability index, Indicates the signal receiving end data, , Indicates the total number of data at the signal receiving end, represents the soil resistance value, Indicates the cable measurement depth, represents the soil moisture value, represents the environmental error coefficient.

7. An underground cable survey device for improving survey accuracy, based on the underground cable survey method for improving survey accuracy according to any one of claims 1 to 6, characterized in that: include: The response module is used to obtain the signal transmitter data, signal receiver data, environmental data and cable measurement depth of the survey area; A first operation module is configured to determine a signal fluctuation index and a signal stability index using the signal transmitting end data, the signal receiving end data, the environmental data, and the cable measurement depth; A second operation module is used to perform a proportional operation using the signal fluctuation index and the signal stability index to obtain a visual display stability coefficient; A comparison module, configured to compare the visual display stability coefficient with a preset standard stability coefficient threshold; The survey module is used to perform underground cable survey using an output signal associated with the visual display stability coefficient when the visual display stability coefficient is greater than or equal to the preset standard stability coefficient threshold.

8. An electronic device, characterized in that: The method comprises a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the underground cable survey method for improving survey accuracy as described in any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed, the underground cable survey method for improving survey accuracy as described in any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that The computer program product includes a computer program stored on a non-transitory computer-readable storage medium, wherein the computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer is caused to execute the underground cable survey method for improving survey accuracy as described in any one of claims 1 to 6.

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