A method and device for identifying reinforcing steel of a concrete pole, an electronic device and a storage medium

Abstract

This invention discloses a method, device, electronic equipment, and storage medium for identifying the reinforcing bars of concrete utility poles, belonging to the field of non-destructive testing technology. The method includes: identifying shallow and deep reinforcing bars inside the concrete utility pole based on electromagnetic induction data and radar scanning data; determining the depth of each shallow reinforcing bar and inverting the true dielectric constant of the concrete medium; determining the depth of each deep reinforcing bar by combining the true dielectric constant with the two-way travel time of each deep reinforcing bar in the radar scanning data; determining the attenuation coefficient of the concrete medium based on electromagnetic induction data and the true dielectric constant; constructing a multi-layer reinforcing bar response model; solving the multi-layer reinforcing bar response model to obtain the diameters of the shallow and deep reinforcing bars; and using the depth and diameter of the shallow and deep reinforcing bars as the reinforcing bar identification results of the concrete utility pole. By implementing this invention, the problem of inaccurate reinforcing bar identification in existing technologies for concrete utility poles can be solved.

Description

Technical Field

[0001] This invention relates to the field of nondestructive testing technology, specifically to a method, device, electronic device, and storage medium for identifying the reinforcing bars of concrete utility poles. Background Technology

[0002] Concrete utility poles are crucial supporting structures for power and communication lines, and their load-bearing capacity primarily depends on the structure of their internal steel reinforcement cage. In the quality inspection and safety assessment of utility poles, accurately obtaining information on the geometric distribution of the steel reinforcement layers within the concrete pole is a core step, particularly the quantitative detection of the specific embedment depth and diameter of the shallow and deep reinforcement layers. Accurately identifying the depth and diameter of the reinforcement is of great significance for assessing the mechanical properties of the pole and identifying potential structural hazards.

[0003] However, current technologies for identifying rebar in concrete poles are often inaccurate. They typically calculate the depth and diameter of the rebar based on detection data. When calculating rebar depth, existing technologies usually directly use a preset fixed dielectric constant to estimate the signal propagation speed in the concrete, ignoring the influence of the non-uniformity of the concrete material on the propagation speed, leading to inaccuracies in the calculated rebar depth. Simultaneously, when calculating the rebar diameter, the intensity of the detection signal attenuates with increasing propagation distance. Current technologies often use a fixed attenuation coefficient for signal calculation, failing to accurately reflect the degree of signal loss caused by the actual concrete medium, thus making it difficult to accurately determine the depth and diameter of each layer of rebar. Summary of the Invention

[0004] This invention provides a method, device, electronic device, and storage medium for identifying the reinforcing bars of concrete utility poles, which can solve the problem of inaccurate identification of reinforcing bars in concrete utility poles in the prior art.

[0005] An embodiment of the present invention provides a method for identifying the reinforcing bars of concrete utility poles, comprising: Electromagnetic induction data and radar scan data obtained by scanning a concrete pole are acquired; wherein the concrete pole is composed of several shallow steel bars, several deep steel bars and concrete medium; the electromagnetic induction data and the radar scan data correspond one-to-one in spatial position. Based on electromagnetic induction data and radar scanning data, the depth of several shallow steel bars, several deep steel bars, and the depth of each shallow steel bar inside the concrete pole were determined. The true dielectric constant of the concrete medium is determined based on the depth of each shallow reinforcement and the two-way travel time of each shallow reinforcement in the radar scan data. The depth of each deep steel bar is determined based on the true dielectric constant of the concrete medium and the two-way travel time of each deep steel bar in the radar scan data. Based on electromagnetic induction data and the true dielectric constant of the concrete medium, the attenuation coefficient of the concrete medium is determined; based on the attenuation coefficient of the concrete medium, a multi-layer steel reinforcement response model is constructed; based on the electromagnetic induction data, the multi-layer steel reinforcement response model is solved to generate the diameter of each shallow layer steel reinforcement and the diameter of each deep layer steel reinforcement. The depth, diameter, depth, and diameter of each shallow reinforcement bar are used as the reinforcement identification results for the concrete pole.

[0006] Furthermore, based on electromagnetic induction data and radar scanning data, the depths of several shallow reinforcing bars, several deep reinforcing bars, and the depths of each shallow reinforcing bar inside the concrete pole are determined, including: The radar scan data was analyzed to identify the hyperbola used to characterize the reflection features of the steel bars; The x-coordinate of the vertices of each hyperbola is used to determine the horizontal position of the steel reinforcement inside the concrete pole, and the y-coordinate of the vertices of each hyperbola is used to determine the two-way travel time of the steel reinforcement inside the concrete pole. Reinforcing bars with a two-way travel time less than a preset time threshold are defined as shallow reinforcing bars, and reinforcing bars with a two-way travel time greater than or equal to a preset time threshold are defined as deep reinforcing bars. For each shallow reinforcement bar, the current transverse scanning signal curve corresponding to the current shallow reinforcement bar is extracted from the electromagnetic induction data; wherein, the horizontal coordinate of the transverse scanning signal curve is the transverse scanning position, and the vertical coordinate of the transverse scanning signal curve is the signal strength. The maximum value of the vertical axis in the current horizontal scan signal curve is determined as the current peak signal strength, and the horizontal axis corresponding to the current peak signal strength is determined as the current peak position. In the current horizontal scanning signal curve, a point whose horizontal coordinate is at a preset horizontal distance from the current peak position is selected as the current feature point; the vertical coordinate of the current feature point is used as the signal strength of the current feature point. Calculate the ratio of the current feature point signal intensity to the current peak signal intensity, and generate the current signal intensity ratio; The depth of the current shallow reinforcement is determined based on the current signal strength ratio and the preset depth ratio table.

[0007] Furthermore, based on the depth of each shallow reinforcement layer and the two-way travel time of each shallow reinforcement layer in the radar scan data, the true dielectric constant of the concrete medium is determined, including: For each shallow reinforcement, the current propagation speed of electromagnetic waves in the concrete medium is determined based on the current depth of the shallow reinforcement and the two-way travel time of the current shallow reinforcement in the radar scan data; based on the current propagation speed and the preset speed of light in a vacuum, the local dielectric constant of the concrete medium corresponding to the current shallow reinforcement is determined. Calculate the mean local dielectric constant of the concrete medium corresponding to each shallow reinforcement layer to generate the true dielectric constant of the concrete medium.

[0008] Furthermore, based on the true dielectric constant of the concrete medium and the two-way travel time of each deep reinforcement bar in the radar scan data, the depth of each deep reinforcement bar is determined, including: Based on the preset speed of light in a vacuum and the actual dielectric constant of the concrete medium, the global propagation speed of electromagnetic waves in the concrete medium is determined. The depth of each deep reinforcement bar is calculated based on the global propagation speed and the two-way travel time of each deep reinforcement bar in the radar scan data.

[0009] Furthermore, based on electromagnetic induction data and the true dielectric constant of the concrete medium, the attenuation coefficient of the concrete medium is determined, including: The electromagnetic induction data is analyzed to extract phase information; The electrical conductivity of the concrete medium is determined based on the phase information. The attenuation coefficient of the concrete medium is calculated based on the electrical conductivity of the concrete medium, the true dielectric constant of the concrete medium, and the preset electromagnetic induction operating frequency.

[0010] Furthermore, based on the attenuation coefficient of the concrete medium, a multi-layer steel reinforcement response model is constructed, including: Construct an electromagnetic response function for a single steel bar; wherein the electromagnetic response function is used to characterize the mapping relationship between the signal strength in electromagnetic induction data and the diameter, depth, and attenuation coefficient of the steel bar and the concrete medium; Substitute the depth of each shallow reinforcement and the attenuation coefficient of the concrete medium into the electromagnetic response function to construct the shallow response term of each shallow reinforcement. Substitute the depth of each deep steel bar and the attenuation coefficient of the concrete medium into the electromagnetic response function to construct the deep response term of each deep steel bar. A multi-layer rebar response model is generated by linearly superimposing each shallow and deep response term; wherein, the variables to be solved in the multi-layer rebar response model are the diameters of each shallow and deep rebar.

[0011] Furthermore, based on electromagnetic induction data, the multi-layer rebar response model is solved to generate the diameters of each shallow layer of rebar and each deep layer of rebar, including: For each shallow reinforcement, the diameter of the current shallow reinforcement is calculated by minimizing the difference between the calculated value of the shallow response term in the multi-layer reinforcement response model and the signal strength in the electromagnetic induction data. Substitute the diameter of each shallow reinforcement bar into the corresponding shallow response term to calculate the theoretical signal value of each shallow reinforcement bar. Based on the signal strength in the electromagnetic induction data and the theoretical signal values ​​of each shallow steel bar, the residual signal strength for the deep steel bar is determined. For each deep reinforcement, the diameter of the current deep reinforcement is calculated by minimizing the difference between the calculated value of the deep response term and the residual signal intensity in the multi-layer reinforcement response model.

[0012] Based on the above method embodiments, the present invention provides corresponding apparatus embodiments.

[0013] One embodiment of the present invention provides a rebar identification device for concrete utility poles, comprising: a data acquisition module, a depth determination module, a diameter determination module, and a result generation module; The data acquisition module is used to acquire electromagnetic induction data and radar scan data obtained by scanning the concrete pole; wherein, the concrete pole is composed of several shallow steel bars, several deep steel bars and concrete medium; the electromagnetic induction data and the radar scan data correspond one-to-one in spatial position. The depth determination module is used to determine the depth of several shallow steel bars, several deep steel bars, and each shallow steel bar inside the concrete pole based on electromagnetic induction data and radar scanning data; to determine the true dielectric constant of the concrete medium based on the depth of each shallow steel bar and the two-way travel time of each shallow steel bar in the radar scanning data; and to determine the depth of each deep steel bar based on the true dielectric constant of the concrete medium and the two-way travel time of each deep steel bar in the radar scanning data. The diameter determination module is used to determine the attenuation coefficient of the concrete medium based on electromagnetic induction data and the true dielectric constant of the concrete medium; to construct a multi-layer steel reinforcement response model based on the attenuation coefficient of the concrete medium; and to solve the multi-layer steel reinforcement response model based on electromagnetic induction data to generate the diameter of each shallow layer steel reinforcement and the diameter of each deep layer steel reinforcement. The result generation module is used to identify the depth, diameter, depth, and diameter of each shallow reinforcement bar as the reinforcement identification result of the concrete pole.

[0014] Based on the above method embodiments, the present invention provides corresponding electronic device embodiments.

[0015] One embodiment of the present invention provides an electronic device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the rebar identification method for concrete poles according to any one of the above-described method embodiments.

[0016] Based on the above method embodiments, the present invention provides corresponding storage medium embodiments.

[0017] One embodiment of the present invention provides a storage medium storing a computer program thereon, wherein, when the computer program is running, it controls the device where the storage medium is located to execute the rebar identification method for concrete poles as described in any of the above-described method embodiments.

[0018] Compared with the prior art, the present invention has the following beneficial effects: This invention provides a method, apparatus, electronic device, and storage medium for identifying the reinforcing bars of concrete utility poles. The method acquires electromagnetic induction data and radar scan data obtained by scanning the concrete utility pole; these two types of data correspond one-to-one in spatial location. Based on the electromagnetic induction data and radar scan data, it identifies the shallow and deep reinforcing bars inside the concrete utility pole and determines the depth of each shallow reinforcing bar. Based on the depth of the shallow reinforcing bars and the corresponding two-way travel time in the radar scan data, it inversely calculates the true dielectric constant of the concrete medium. Further, it combines the true dielectric constant with the two-way travel time of each deep reinforcing bar in the radar scan data to determine the depth of each deep reinforcing bar. Based on the electromagnetic induction data and the true dielectric constant, it determines the attenuation coefficient of the concrete medium, constructs a multi-layer reinforcing bar response model, and solves the multi-layer reinforcing bar response model to obtain the diameters of the shallow and deep reinforcing bars. Finally, it uses the depth, diameter, and depth of the shallow and deep reinforcing bars as the identification results of the reinforcing bars in the concrete utility pole.

[0019] This invention determines the true dielectric constant of the concrete medium based on the depth of each shallow layer of reinforcing bars and radar scanning data, and then determines the depth of each deep layer of reinforcing bars based on the true dielectric constant. This solves the problem of inaccurate calculations of reinforcing bar depth caused by the use of a fixed dielectric constant that ignores the non-uniformity of the concrete material in existing technologies. Simultaneously, this invention determines the attenuation coefficient of the concrete medium based on electromagnetic induction data and the true dielectric constant, and then constructs a multi-layer reinforcing bar response model based on the attenuation coefficient to solve the multi-layer reinforcing bar response model and generate the diameter. This solves the problem of inaccurate determination of the diameter of each layer of reinforcing bars due to the use of a fixed attenuation coefficient in existing technologies, thereby improving the accuracy of reinforcing bar identification on concrete poles. Attached Figure Description

[0020] Figure 1 This is a flowchart illustrating a method for identifying the reinforcing bars of a concrete utility pole according to an embodiment of the present invention.

[0021] Figure 2 This is a schematic diagram of the structure of a rebar identification device for concrete utility poles provided in an embodiment of the present invention. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] like Figure 1 As shown, to address the problem of inaccurate rebar identification in existing technologies for concrete utility poles, an embodiment of the present invention provides a method for rebar identification in concrete utility poles, comprising at least the following steps: Step S1: Obtain electromagnetic induction data and radar scan data obtained by scanning the concrete pole; wherein, the concrete pole is composed of several shallow steel bars, several deep steel bars and concrete medium; the electromagnetic induction data and the radar scan data correspond one-to-one in spatial position. Specifically, to implement the rebar identification method for concrete utility poles, the first step is to acquire data, namely, electromagnetic induction data and radar scan data obtained from scanning the concrete utility pole. The concrete utility pole, as the target object, has a specific composite physical structure. It consists of a concrete medium as the matrix material, several shallow rebars distributed in the outer layer of the concrete medium, and several deep rebars distributed in the inner layer of the concrete medium. The scanning process is typically performed along the axial extension direction or circumferential surface of the concrete utility pole to obtain continuous detection data covering the key structural areas of the pole.

[0024] The electromagnetic induction data is obtained based on the principle of electromagnetic induction detection. When an alternating magnetic field is applied to a concrete pole, eddy currents are generated inside the conductive steel bars, which further generate a secondary magnetic field. The electromagnetic induction data records the response characteristics of the secondary magnetic field captured by the receiving coil. Specifically, the electromagnetic induction data includes not only signal strength data that characterizes the strength of the induced electromotive force, but also phase information that characterizes the lag of the received signal relative to the transmitted signal. The phase information is a key parameter for inverting the conductivity and attenuation coefficient of the concrete medium in subsequent steps, while the signal strength data is the fundamental variable for constructing a multi-layer steel bar response model and solving for the steel bar diameter.

[0025] The radar scan data is obtained based on the principle of high-frequency electromagnetic wave reflection. Ground-penetrating radar (GPR) emits high-frequency electromagnetic pulses into the interior of a concrete pole. When the electromagnetic wave propagates to the interface between the concrete medium and the reinforcing steel, a reflected wave is generated due to the significant difference in their dielectric constants. The radar scan data records the waveform amplitude of the reflected wave and the two-way travel time of the electromagnetic wave propagating in the concrete medium. The two-way travel time characterizes the time interval experienced by the electromagnetic wave from transmission to reception, and it serves as the direct basis for subsequent calculations of shallow and deep reinforcing steel depths, as well as for inverting the true dielectric constant of the concrete medium.

[0026] The electromagnetic induction data and the radar scan data correspond one-to-one in spatial location. This means that during data acquisition, for each specific physical detection point or coordinate position on the concrete pole, there is a set of electromagnetic induction data and a set of radar scan data, and these two sets of data are strictly aligned in the spatial coordinate system. This one-to-one correspondence in spatial location is usually achieved through an integrated multimodal sensor system or a synchronous acquisition method based on a position encoder. Ensuring that the electromagnetic induction data and the radar scan data correspond one-to-one in spatial location eliminates parameter calculation errors caused by data source location deviations, and provides a unified spatial reference for subsequent multi-source data fusion combining the advantages of radar ranging and electromagnetic induction diameter measurement.

[0027] Step S2: Based on electromagnetic induction data and radar scanning data, determine the number of shallow steel bars, the number of deep steel bars, and the depth of each shallow steel bar inside the concrete pole. In a preferred embodiment, the determination of several shallow reinforcing bars, several deep reinforcing bars, and the depth of each shallow reinforcing bar inside the concrete pole, based on electromagnetic induction data and radar scanning data, includes: The radar scan data was analyzed to identify the hyperbola used to characterize the reflection features of the steel bars; The x-coordinate of the vertices of each hyperbola is used to determine the horizontal position of the steel reinforcement inside the concrete pole, and the y-coordinate of the vertices of each hyperbola is used to determine the two-way travel time of the steel reinforcement inside the concrete pole. Reinforcing bars with a two-way travel time less than a preset time threshold are defined as shallow reinforcing bars, and reinforcing bars with a two-way travel time greater than or equal to a preset time threshold are defined as deep reinforcing bars. For each shallow reinforcement bar, the current transverse scanning signal curve corresponding to the current shallow reinforcement bar is extracted from the electromagnetic induction data; wherein, the horizontal coordinate of the transverse scanning signal curve is the transverse scanning position, and the vertical coordinate of the transverse scanning signal curve is the signal strength. The maximum value of the vertical axis in the current horizontal scan signal curve is determined as the current peak signal strength, and the horizontal axis corresponding to the current peak signal strength is determined as the current peak position. In the current horizontal scanning signal curve, a point whose horizontal coordinate is at a preset horizontal distance from the current peak position is selected as the current feature point; the vertical coordinate of the current feature point is used as the signal strength of the current feature point. Calculate the ratio of the current feature point signal intensity to the current peak signal intensity, and generate the current signal intensity ratio; Specifically, to achieve accurate analysis of the internal structure of concrete poles based on multi-source data, it is necessary to determine the depth of several shallow and deep reinforcing bars within the concrete pole, as well as the depth of each shallow reinforcing bar, based on electromagnetic induction data and radar scan data. This process first utilizes the geometric characteristics of radar wave reflection of metallic targets to classify them into layers, and then uses the field strength attenuation characteristics of electromagnetic induction signals to accurately determine the depth of shallow targets. In the specific implementation process, the depth of several shallow and deep reinforcing bars within the concrete pole, as well as the depth of each shallow reinforcing bar, is determined based on electromagnetic induction data and radar scan data. First, the radar scan data is analyzed to identify the hyperbola used to characterize the reflection characteristics of the reinforcing bars. Because the straight-line distance between the ground-penetrating radar antenna and the measured reinforcing bar first decreases and then increases as the ground-penetrating radar antenna moves along the measurement line, the radar scan data forms a hyperbolic reflection wave group in the B-scan image. The geometric trajectory of the reinforcing bar reflection hyperbola follows the two-way travel time equation of electromagnetic wave propagation: in, This indicates that the radar antenna is in the scanning position. The two-way travel time of the received reflected wave This indicates the two-way travel time when the radar antenna is directly above the reinforcing steel bar. Indicates the horizontal scanning position of the radar antenna. Indicates the horizontal position of the reinforcing bars. This represents the propagation speed of electromagnetic waves in the concrete medium. By performing hyperbolic fitting or feature extraction on radar scan data, the abscissa of each hyperbola's vertex is determined as the horizontal position of the reinforcing steel inside the concrete pole, and the ordinate of each hyperbola's vertex is determined as the two-way travel time of the reinforcing steel inside the concrete pole. The hyperbola vertices correspond to the... At this moment, the two-way travel time reaches its minimum value. This minimum value directly reflects the signal delay of the reinforcing bar in the medium. Subsequently, the reinforcing bars are classified using the signal delay difference. Reinforcing bars with a two-way travel time less than a preset time threshold are identified as shallow reinforcing bars, while those with a two-way travel time greater than or equal to the preset time threshold are identified as deep reinforcing bars. The preset time threshold is an empirical value set based on the typical protective layer thickness of concrete poles and the estimated electromagnetic wave velocity, effectively distinguishing shallow reinforcing bars near the surface from deep reinforcing bars located inside in the time dimension. After classification, the depth of the shallow reinforcing bars is further calculated using electromagnetic induction data. For each shallow reinforcing bar, the current transverse scanning signal curve corresponding to the current shallow reinforcing bar is extracted from the electromagnetic induction data. The horizontal axis of the transverse scanning signal curve represents the transverse scanning position, and the vertical axis represents the signal strength. Since the electromagnetic induction signal exhibits a single-peak distribution in space, the maximum value of the vertical axis in the current transverse scanning signal curve is determined as the current peak signal strength, and the horizontal axis corresponding to the current peak signal strength is determined as the current peak position. To eliminate the influence of unknown factors such as the intensity of the transmitter and the sensitivity of the coil, a ratio method is used for depth inversion. In the current transverse scan signal curve, a point whose horizontal coordinate is at a preset horizontal distance from the current peak position is selected as the current feature point; the vertical coordinate of the current feature point is used as the signal intensity of the current feature point. Then, the ratio of the signal intensity of the current feature point to the signal intensity of the current peak is calculated to generate the current signal intensity ratio. According to the spatial attenuation law of the electromagnetic field, the signal intensity changes with distance following a power-law attenuation model; therefore, the current signal intensity ratio... With shallow reinforcement depth The following physical relationship exists between them: in, This indicates the ratio of the current signal strength. Indicates the current signal strength of the feature point. Indicates the current peak signal strength. Indicates the current depth of shallow reinforcement. Indicates the preset horizontal distance. This represents the attenuation index related to the coil geometry.

[0028] It should be noted that the preset horizontal distance is set based on the physical dimensions of the sensor coil of the detection equipment and the estimated depth range of the reinforcing steel, to ensure that the selected current feature point is stably located in the effective falling edge region of the transverse scanning signal curve. The attenuation index related to the coil geometry is obtained by performing electromagnetic induction scanning on a standard specimen of known depth beforehand, and then using curve fitting technology to invert the signal intensity data obtained from the scanning.

[0029] From the above formula, we can see that the current signal strength ratio Only the current shallow reinforcement depth The depth of the shallow reinforcement is determined based on the current signal strength ratio and a preset depth ratio table. This preset depth ratio table is a lookup table that quantifies the physical relationship described above. This table can be obtained through experimental calibration of standard steel reinforcement specimens of known specifications and depths, or by constructing electromagnetic field distribution models at different depths using finite element simulation software. The table includes corresponding data for ratios and depths for different coil sizes and preset horizontal distances to accommodate various detection scenarios. Through these steps, the complementary advantages of dual-field data can be utilized to rapidly identify the internal reinforcement layers of concrete poles and accurately calculate the depth of shallow reinforcement, even under unknown concrete electromagnetic parameters, providing a reliable geometric benchmark for subsequent calibration of medium parameters.

[0030] Step S3: Determine the true dielectric constant of the concrete medium based on the depth of each shallow reinforcement and the two-way travel time of each shallow reinforcement in the radar scan data. In a preferred embodiment, the true dielectric constant of the concrete medium is determined based on the depth of each shallow reinforcement layer and the two-way travel time of each shallow reinforcement layer in the radar scan data, including: For each shallow reinforcement, the current propagation speed of electromagnetic waves in the concrete medium is determined based on the current depth of the shallow reinforcement and the two-way travel time of the current shallow reinforcement in the radar scan data; based on the current propagation speed and the preset speed of light in a vacuum, the local dielectric constant of the concrete medium corresponding to the current shallow reinforcement is determined. Calculate the mean local dielectric constant of the concrete medium corresponding to each shallow reinforcement layer to generate the true dielectric constant of the concrete medium.

[0031] Specifically, after determining the depth of each shallow reinforcement layer, to eliminate measurement errors caused by the non-homogeneity of the concrete medium and differences in moisture content, it is necessary to further determine the true dielectric constant of the concrete medium. This process is based on radar wave propagation dynamics, establishing a physical mapping relationship between depth and two-way travel time to achieve accurate inversion of the electrical performance parameters of the concrete medium. In the specific implementation process, the true dielectric constant of the concrete medium is determined based on the depth of each shallow reinforcement layer and the two-way travel time of each shallow reinforcement layer in the radar scan data. For each shallow reinforcement layer, the current propagation speed of the electromagnetic wave in the concrete medium is first determined based on the current depth of the shallow reinforcement layer and the current two-way travel time of the shallow reinforcement layer in the radar scan data. According to the physical model of electromagnetic wave rectilinear propagation, the one-way propagation distance of the electromagnetic wave in the medium is equal to the product of the propagation speed and the one-way propagation time. Since the radar scan data records the round-trip travel time, the current propagation speed of the electromagnetic wave in the concrete medium satisfies the following calculation formula: in, This indicates the current propagation speed of the electromagnetic wave at the current shallow reinforcement layer. Indicates the current depth of shallow reinforcement. This represents the two-way travel time corresponding to the current shallow reinforcement in the radar scan data. After obtaining the current propagation speed, the local dielectric constant of the concrete medium corresponding to the current shallow reinforcement is further determined based on the current propagation speed and the preset speed of light in a vacuum. The local dielectric constant refers to the relative dielectric constant determined by the local concrete material properties near a specific detection point. According to the theory of electromagnetic field propagation in non-magnetic media, there is an inverse square relationship between the dielectric constant and the wave velocity. Therefore, the local dielectric constant of the concrete medium corresponding to the current shallow reinforcement satisfies the following calculation formula: in, This represents the local dielectric constant of the concrete medium corresponding to the current shallow reinforcement. This represents the speed of light in a pre-defined vacuum. This represents the current propagation speed of the electromagnetic wave at the current shallow reinforcement layer. Considering the potential local differences in the internal medium of the concrete pole, statistical fusion of the local dielectric constants is necessary to obtain physical parameters that represent the overall characteristics of the entire concrete pole. Before calculating the mean, to prevent abnormal extreme values ​​of the local dielectric constant caused by radar echo distortion at individual measurement points, outliers in each local dielectric constant are removed using a standard deviation filtering algorithm or Grubbs' criterion, retaining only the local dielectric constants within the confidence interval for subsequent statistical analysis. By calculating the mean of the local dielectric constants of the concrete medium corresponding to each shallow reinforcement layer, the true dielectric constant of the concrete medium is generated. The true dielectric constant of the concrete medium satisfies the following calculation formula: in, This represents the true dielectric constant of the concrete medium. This indicates the total amount of shallow reinforcement. Indicates the first The local dielectric constant of the concrete medium corresponding to the shallow reinforcement is determined. Through the above steps, the radar wave velocity is calibrated in real time using the known physical location of the shallow reinforcement. This overcomes the drawback of inaccurate depth estimation caused by directly using fixed empirical values ​​in traditional techniques, providing medium parameters that conform to actual working conditions for the precise positioning of subsequent deep reinforcement.

[0032] Step S4: Determine the depth of each deep steel bar based on the true dielectric constant of the concrete medium and the two-way travel time of each deep steel bar in the radar scan data. In a preferred embodiment, the depth of each deep reinforcing bar is determined based on the true dielectric constant of the concrete medium and the two-way travel time of each deep reinforcing bar in the radar scan data, including: Based on the preset speed of light in a vacuum and the actual dielectric constant of the concrete medium, the global propagation speed of electromagnetic waves in the concrete medium is determined. The depth of each deep reinforcement bar is calculated based on the global propagation speed and the two-way travel time of each deep reinforcement bar in the radar scan data.

[0033] Specifically, after obtaining the true dielectric constant of the concrete medium, to achieve accurate positioning of the deep structure inside the concrete pole, it is necessary to further determine the depth of each deep reinforcing bar by combining radar scanning data. This process converts the corrected dielectric electrical parameters into propagation velocity parameters, thereby converting the two-way travel time information in the time dimension into depth information in the physical space dimension. In the specific implementation process, firstly, based on the true dielectric constant of the concrete medium and the two-way travel time of each deep reinforcing bar in the radar scanning data, the depth of each deep reinforcing bar is determined. Based on the preset speed of light in a vacuum and the true dielectric constant of the concrete medium calculated in the aforementioned steps, the global propagation velocity of electromagnetic waves in the concrete medium is determined. The global propagation velocity refers to the average velocity that can represent the current wave characteristics of the concrete medium after multi-point calibration within the overall detection area. According to the theory of electromagnetic wave propagation in a medium, the global propagation velocity satisfies the following calculation formula: in, This represents the global propagation speed of electromagnetic waves in the concrete medium. This represents the speed of light in a pre-defined vacuum. This represents the true dielectric constant of the concrete medium. After obtaining the global propagation velocity, the depth of each deep reinforcement bar is calculated based on the global propagation velocity and the two-way travel time of each deep reinforcement bar in the radar scan data. For each deep reinforcement bar, the time it takes for the radar wave to travel from emission to encountering the surface of the deep reinforcement bar and return is the two-way travel time. According to the basic principles of kinematics, the propagation distance of a single journey is the physical depth of the target; therefore, the depth of each deep reinforcement bar satisfies the following calculation formula: in, Indicates the current depth of the deep reinforcement. This represents the global propagation speed of electromagnetic waves in the concrete medium. This represents the two-way travel time of the current deep reinforcement in the radar scan data. Since the global propagation velocity is a true value derived from the known depth of the shallow reinforcement and the measured two-way travel time, rather than a preset fixed empirical value, using the global propagation velocity to estimate the depth of deep reinforcement can effectively compensate for the influence of concrete material inhomogeneity and differences in moisture content and density on wave velocity. Through the above steps, accurate positioning of deeply buried reinforcement targets is achieved, significantly improving the accuracy of identifying the distribution of reinforcement at different levels within concrete poles.

[0034] Step S5: Determine the attenuation coefficient of the concrete medium based on the electromagnetic induction data and the true dielectric constant of the concrete medium; construct a multi-layer steel reinforcement response model based on the attenuation coefficient of the concrete medium; solve the multi-layer steel reinforcement response model based on the electromagnetic induction data to generate the diameter of each shallow layer steel reinforcement and the diameter of each deep layer steel reinforcement. In a preferred embodiment, the attenuation coefficient of the concrete medium is determined based on electromagnetic induction data and the true dielectric constant of the concrete medium, including: The electromagnetic induction data is analyzed to extract phase information; The electrical conductivity of the concrete medium is determined based on the phase information. The attenuation coefficient of the concrete medium is calculated based on the electrical conductivity of the concrete medium, the true dielectric constant of the concrete medium, and the preset electromagnetic induction operating frequency.

[0035] In a preferred embodiment, a multi-layer reinforced concrete response model is constructed based on the attenuation coefficient of the concrete medium, including: Construct an electromagnetic response function for a single steel bar; wherein the electromagnetic response function is used to characterize the mapping relationship between the signal strength in electromagnetic induction data and the diameter, depth, and attenuation coefficient of the steel bar and the concrete medium; Substitute the depth of each shallow reinforcement and the attenuation coefficient of the concrete medium into the electromagnetic response function to construct the shallow response term of each shallow reinforcement. Substitute the depth of each deep steel bar and the attenuation coefficient of the concrete medium into the electromagnetic response function to construct the deep response term of each deep steel bar. A multi-layer rebar response model is generated by linearly superimposing each shallow and deep response term; wherein, the variables to be solved in the multi-layer rebar response model are the diameters of each shallow and deep rebar.

[0036] In a preferred embodiment, based on electromagnetic induction data, the multi-layer rebar response model is solved to generate the diameters of each shallow layer rebar and each deep layer rebar, including: For each shallow reinforcement, the diameter of the current shallow reinforcement is calculated by minimizing the difference between the calculated value of the shallow response term in the multi-layer reinforcement response model and the signal strength in the electromagnetic induction data. Substitute the diameter of each shallow reinforcement bar into the corresponding shallow response term to calculate the theoretical signal value of each shallow reinforcement bar. Based on the signal strength in the electromagnetic induction data and the theoretical signal values ​​of each shallow steel bar, the residual signal strength for the deep steel bar is determined. For each deep reinforcement, the diameter of the current deep reinforcement is calculated by minimizing the difference between the calculated value of the deep response term and the residual signal intensity in the multi-layer reinforcement response model.

[0037] Specifically, after determining the true dielectric constant of the concrete medium and the depth distribution of each layer of reinforcing steel, to accurately identify the specifications of the reinforcing steel, it is necessary to further address the challenges of signal attenuation due to dielectric loss and the superposition of signals from multiple layers of reinforcing steel. The core of this process lies in establishing a physical model incorporating the dielectric attenuation characteristics and resolving the diameter of each layer of reinforcing steel from the mixed signal through a step-by-step solution. In the specific implementation process, the attenuation coefficient of the concrete medium is determined based on electromagnetic induction data and the true dielectric constant of the concrete medium. First, the electromagnetic induction data is analyzed to extract phase information from the complex signal. Phase information characterizes the time lag between the induced magnetic field and the excitation magnetic field, and there is a physical correlation between phase information and the conductivity loss characteristics of the medium. Based on the phase information, the conductivity of the concrete medium is determined. Generally, the greater the phase lag, the higher the corresponding conductivity. After obtaining the conductivity parameters, the attenuation coefficient of the concrete medium is calculated based on the conductivity of the concrete medium, the true dielectric constant of the concrete medium, and the preset electromagnetic induction operating frequency. The preset electromagnetic induction operating frequency is set according to the hardware excitation attributes of the electromagnetic induction detection equipment and the estimated maximum detection depth of the concrete pole. A lower electromagnetic induction operating frequency is usually used in exchange for a deeper signal penetration capability.

[0038] The real part of the propagation constant of electromagnetic waves in a lossy medium is the attenuation coefficient. The attenuation coefficient of concrete medium satisfies the following calculation formula: in, This represents the attenuation coefficient of the concrete medium. The angular frequency represents the preset electromagnetic induction operating frequency. Represents the permeability of free space. This represents the true dielectric constant of the concrete medium calculated in the preceding steps. This represents the electrical conductivity of the concrete medium determined based on phase information. A multi-layer rebar response model is constructed based on the attenuation coefficient of the concrete medium. First, the electromagnetic response function of a single rebar is constructed. This electromagnetic response function characterizes the mapping relationship between signal strength in electromagnetic induction data and the rebar diameter, rebar depth, and the attenuation coefficient of the concrete medium. According to the principle of electromagnetic induction, signal strength has a power-law relationship with the rebar diameter and attenuates exponentially with depth. The electromagnetic response function of a single rebar satisfies the following mathematical model: in, This represents the calculated signal strength value generated by a single steel bar. Indicates the diameter of the reinforcing bar. Indicates the depth of the reinforcing bar. This represents the attenuation coefficient of the concrete medium. Represents the system gain coefficient. Indicates the diameter response index. This represents the geometric diffusion index.

[0039] It should be noted that before calculating using the electromagnetic response function of a single rebar, the system gain coefficient, diameter response index, and geometric diffusion index need to be determined in advance. These are empirical parameters related to the specific hardware of the testing equipment. In practical applications, the system gain coefficient, diameter response index, and geometric diffusion index are calculated and fixed in advance by using electromagnetic induction testing equipment to repeatedly scan and collect data from a pre-fabricated standard concrete test block containing known rebar diameters and depths. The collected calibration data is then fitted and optimized using a nonlinear least squares method.

[0040] Subsequently, a superposition principle is used to construct an overall model. The depth of each shallow layer of reinforcement and the attenuation coefficient of the concrete medium are substituted into the electromagnetic response function to construct the shallow response term for each shallow layer of reinforcement; similarly, the depth of each deep layer of reinforcement and the attenuation coefficient of the concrete medium are substituted into the electromagnetic response function to construct the deep response term for each deep layer of reinforcement. The shallow and deep response terms are then linearly superimposed to generate a multi-layer reinforcement response model. The multi-layer reinforcement response model satisfies the following formula: in, This represents the total signal strength of the multi-layered reinforced concrete response model. Indicates the quantity of shallow reinforcement. Indicates the quantity of deep reinforcement bars. Indicates the first The shallow response term corresponding to the shallow reinforcement. Indicates the first The deep response term corresponds to the deep reinforcement. The variables to be solved in the multi-layer reinforcement response model are the diameters of each shallow reinforcement and each deep reinforcement. Based on electromagnetic induction data, the multi-layer reinforcement response model is solved to generate the diameters of each shallow reinforcement and each deep reinforcement. Considering that the contribution of shallow reinforcement to the signal is dominant, a layer-by-layer stripping strategy is adopted. For each shallow reinforcement, the diameter of the current shallow reinforcement is calculated with the objective of minimizing the difference between the calculated value of the shallow response term in the multi-layer reinforcement response model and the signal strength in the electromagnetic induction data. Specifically, the diameter value that minimizes the sum of squared residuals is found through optimization algorithms (such as nonlinear least squares method, Newton-Raphson iteration method, or Levenberg-Mark Quarter algorithm). An initial diameter iteration value is set and continuously corrected until the difference between the calculated value and the measured value is less than a preset convergence threshold.

[0041] This step ignores the minor influence of deep reinforcement and prioritizes locking in shallow parameters. The objective function is solved as follows: in, This represents the measured signal strength in the electromagnetic induction data. This represents the calculated value of the shallow response term corresponding to the current shallow reinforcement. After calculating the diameter of the shallow reinforcement, the diameter of each shallow reinforcement is substituted into the corresponding shallow response term to calculate the theoretical signal value of each shallow reinforcement. Subsequently, based on the signal strength in the electromagnetic induction data and the theoretical signal value of each shallow reinforcement, the residual signal strength for the deep reinforcement is determined. The residual signal strength is the effective signal of the deep reinforcement after removing shallow interference, and the residual signal strength satisfies the following calculation formula: in, This indicates the residual signal strength for deep reinforcement. Indicates the first The theoretical signal value of the shallow reinforcement is obtained. Finally, for each deep reinforcement, the diameter of the current deep reinforcement is calculated by minimizing the difference between the calculated value of the deep response term and the residual signal intensity in the multi-layer reinforcement response model. Through the above steps, the masking effect of the strong shallow signal on the weak deep signal is effectively removed, and the dielectric loss is compensated by the attenuation coefficient calculated in real time, thereby achieving high-precision quantitative identification of the diameter of multi-layer reinforcement inside the concrete pole.

[0042] Step S6: Use the depth, diameter, depth and diameter of each shallow reinforcement bar as the reinforcement identification results of the concrete pole.

[0043] Specifically, after completing the parameter inversion for each layer of reinforcement inside the concrete pole, the calculated geometric feature parameters need to be summarized into the final detection conclusion. Specifically, the depth, diameter, depth, and diameter of each shallow reinforcement layer determined in the previous steps are integrated. These values ​​together constitute the reinforcement identification result of the concrete pole.

[0044] The rebar identification results comprehensively characterize the quality of concealed works within concrete poles in a digital form. In practical applications, these rebar identification results can be mapped onto the axial coordinate system of the concrete pole to generate a data list, two-dimensional cross-sectional view, or three-dimensional perspective view reflecting the distribution of rebars. By outputting rebar identification results including the depth, diameter, and depth and diameter of each shallow rebar, a quantitative reconstruction of the internal rebar skeleton structure of the concrete pole is achieved, providing accurate data support for the factory quality acceptance, structural safety assessment, and remaining service life prediction of concrete poles.

[0045] Based on the above method embodiments, the present invention provides corresponding apparatus embodiments.

[0046] like Figure 2 As shown, an embodiment of the present invention provides a rebar identification device for concrete utility poles, including: a data acquisition module, a depth determination module, a diameter determination module, and a result generation module; The data acquisition module is used to acquire electromagnetic induction data and radar scan data obtained by scanning the concrete pole; wherein, the concrete pole is composed of several shallow steel bars, several deep steel bars and concrete medium; the electromagnetic induction data and the radar scan data correspond one-to-one in spatial position. The depth determination module is used to determine the depth of several shallow steel bars, several deep steel bars, and each shallow steel bar inside the concrete pole based on electromagnetic induction data and radar scanning data; to determine the true dielectric constant of the concrete medium based on the depth of each shallow steel bar and the two-way travel time of each shallow steel bar in the radar scanning data; and to determine the depth of each deep steel bar based on the true dielectric constant of the concrete medium and the two-way travel time of each deep steel bar in the radar scanning data. The diameter determination module is used to determine the attenuation coefficient of the concrete medium based on electromagnetic induction data and the true dielectric constant of the concrete medium; to construct a multi-layer steel reinforcement response model based on the attenuation coefficient of the concrete medium; and to solve the multi-layer steel reinforcement response model based on electromagnetic induction data to generate the diameter of each shallow layer steel reinforcement and the diameter of each deep layer steel reinforcement. The result generation module is used to identify the depth, diameter, depth, and diameter of each shallow reinforcement bar as the reinforcement identification result of the concrete pole.

[0047] Specifically, the data acquisition module is used to acquire electromagnetic induction data and radar scan data obtained from scanning the concrete pole. The concrete pole, as the object of inspection, is composed of several shallow reinforcing bars, several deep reinforcing bars, and a concrete medium. When performing the scanning task, the data acquisition module ensures a one-to-one spatial correspondence between the acquired electromagnetic induction data and the radar scan data; that is, for each physical detection point on the concrete pole, the data acquisition module synchronously associates a set of electromagnetic induction data and a set of radar scan data. This strict spatial alignment mechanism provides a unified data benchmark for subsequent cross-physics parameter fusion and joint inversion.

[0048] The depth determination module is used to determine the depth of several shallow and deep reinforcing bars inside a concrete pole, as well as the depth of each shallow reinforcing bar, based on electromagnetic induction data and radar scan data. First, the depth determination module utilizes the two-way travel time difference of the hyperbolic characteristics in the radar scan data to divide the reinforcing bars inside the concrete pole into shallow and deep reinforcing bars, and then uses the signal characteristics of the electromagnetic induction data to calculate the depth of each shallow reinforcing bar. Subsequently, the depth determination module determines the true dielectric constant of the concrete medium based on the depth of each shallow reinforcing bar and the two-way travel time of each shallow reinforcing bar in the radar scan data. This process essentially uses the known depth of the shallow reinforcing bars as a benchmark to calculate the actual propagation speed of electromagnetic waves in the current concrete medium, thereby obtaining the true dielectric constant that reflects the current material properties of the concrete. After obtaining accurate medium parameters, the depth determination module determines the depth of each deep reinforcing bar based on the true dielectric constant of the concrete medium and the two-way travel time of each deep reinforcing bar in the radar scan data. By using real-time calculated dielectric constant instead of traditional empirical values, the depth determination module effectively eliminates the impact of concrete non-uniformity on the positioning accuracy of deep targets.

[0049] The diameter determination module is used to determine the attenuation coefficient of the concrete medium based on electromagnetic induction data and the true dielectric constant of the concrete medium. The module analyzes the phase information of the electromagnetic induction data to obtain the conductivity, and calculates the attenuation coefficient of the concrete medium, which characterizes the degree of signal loss, in conjunction with the true dielectric constant. Subsequently, the module constructs a multi-layer rebar response model based on the attenuation coefficient of the concrete medium. This multi-layer rebar response model integrates the geometric law of electromagnetic induction signal attenuation with distance and the physical law of attenuation with medium loss, and includes a contribution term of the diameter of each layer of rebar to the signal strength. The module solves the multi-layer rebar response model based on the electromagnetic induction data, generating the diameters of each shallow layer and each deep layer of rebar. During the solution process, the module employs a step-by-step approximation or numerical optimization strategy to separate and quantify the diameter parameters of each layer of rebar from the mixed and superimposed induction signal.

[0050] The result generation module is used to identify the depth, diameter, and depth and diameter of each shallow and deep layer of reinforcing bars as the reinforcement identification results for the concrete pole. The module then summarizes and outputs the calculated geometric parameters to form a digital reconstruction description of the internal skeleton structure of the concrete pole. Through the collaborative work of these modules, the reinforcement identification device for the concrete pole can dynamically calibrate the medium parameters using multi-source data fusion technology without damaging the concrete structure, achieving high-precision identification of the depth and diameter of multiple layers of reinforcing bars inside the concrete pole.

[0051] In a preferred embodiment, the depth determination module determines, based on electromagnetic induction data and radar scanning data, a plurality of shallow reinforcing bars, a plurality of deep reinforcing bars, and the depth of each shallow reinforcing bar inside the concrete pole, including: The radar scan data was analyzed to identify the hyperbola used to characterize the reflection features of the steel bars; The x-coordinate of the vertices of each hyperbola is used to determine the horizontal position of the steel reinforcement inside the concrete pole, and the y-coordinate of the vertices of each hyperbola is used to determine the two-way travel time of the steel reinforcement inside the concrete pole. Reinforcing bars with a two-way travel time less than a preset time threshold are defined as shallow reinforcing bars, and reinforcing bars with a two-way travel time greater than or equal to a preset time threshold are defined as deep reinforcing bars. For each shallow reinforcement bar, the current transverse scanning signal curve corresponding to the current shallow reinforcement bar is extracted from the electromagnetic induction data; wherein, the horizontal coordinate of the transverse scanning signal curve is the transverse scanning position, and the vertical coordinate of the transverse scanning signal curve is the signal strength. The maximum value of the vertical axis in the current horizontal scan signal curve is determined as the current peak signal strength, and the horizontal axis corresponding to the current peak signal strength is determined as the current peak position. In the current horizontal scanning signal curve, a point whose horizontal coordinate is at a preset horizontal distance from the current peak position is selected as the current feature point; the vertical coordinate of the current feature point is used as the signal strength of the current feature point. Calculate the ratio of the current feature point signal intensity to the current peak signal intensity, and generate the current signal intensity ratio; The depth of the current shallow reinforcement is determined based on the current signal strength ratio and the preset depth ratio table.

[0052] In a preferred embodiment, the depth determination module determines the true dielectric constant of the concrete medium based on the depth of each shallow reinforcement bar and the two-way travel time of each shallow reinforcement bar in the radar scan data, including: For each shallow reinforcement, the current propagation speed of electromagnetic waves in the concrete medium is determined based on the current depth of the shallow reinforcement and the two-way travel time of the current shallow reinforcement in the radar scan data; based on the current propagation speed and the preset speed of light in a vacuum, the local dielectric constant of the concrete medium corresponding to the current shallow reinforcement is determined. Calculate the mean local dielectric constant of the concrete medium corresponding to each shallow reinforcement layer to generate the true dielectric constant of the concrete medium.

[0053] In a preferred embodiment, the depth determination module determines the depth of each deep reinforcing bar based on the true dielectric constant of the concrete medium and the two-way travel time of each deep reinforcing bar in the radar scan data, including: Based on the preset speed of light in a vacuum and the actual dielectric constant of the concrete medium, the global propagation speed of electromagnetic waves in the concrete medium is determined. The depth of each deep reinforcement bar is calculated based on the global propagation speed and the two-way travel time of each deep reinforcement bar in the radar scan data.

[0054] In a preferred embodiment, the diameter determination module determines the attenuation coefficient of the concrete medium based on electromagnetic induction data and the true dielectric constant of the concrete medium, including: The electromagnetic induction data is analyzed to extract phase information; The electrical conductivity of the concrete medium is determined based on the phase information. The attenuation coefficient of the concrete medium is calculated based on the electrical conductivity of the concrete medium, the true dielectric constant of the concrete medium, and the preset electromagnetic induction operating frequency.

[0055] In a preferred embodiment, the diameter determination module constructs an electromagnetic response function for a single reinforcing bar; wherein, the electromagnetic response function is used to characterize the mapping relationship between the signal strength in the electromagnetic induction data and the diameter, depth, and attenuation coefficient of the reinforcing bar and the concrete medium; Substitute the depth of each shallow reinforcement and the attenuation coefficient of the concrete medium into the electromagnetic response function to construct the shallow response term of each shallow reinforcement. Substitute the depth of each deep steel bar and the attenuation coefficient of the concrete medium into the electromagnetic response function to construct the deep response term of each deep steel bar. A multi-layer rebar response model is generated by linearly superimposing each shallow and deep response term; wherein, the variables to be solved in the multi-layer rebar response model are the diameters of each shallow and deep rebar.

[0056] In a preferred embodiment, the diameter determination module solves the multi-layer rebar response model based on electromagnetic induction data to generate the diameters of each shallow layer rebar and each deep layer rebar, including: For each shallow reinforcement, the diameter of the current shallow reinforcement is calculated by minimizing the difference between the calculated value of the shallow response term in the multi-layer reinforcement response model and the signal strength in the electromagnetic induction data. Substitute the diameter of each shallow reinforcement bar into the corresponding shallow response term to calculate the theoretical signal value of each shallow reinforcement bar. Based on the signal strength in the electromagnetic induction data and the theoretical signal values ​​of each shallow steel bar, the residual signal strength for the deep steel bar is determined. For each deep reinforcement, the diameter of the current deep reinforcement is calculated by minimizing the difference between the calculated value of the deep response term and the residual signal intensity in the multi-layer reinforcement response model.

[0057] It should be noted that the embodiments of the device described above correspond to the embodiments of the present invention described above, and can realize the rebar identification method for concrete poles described in any one of the above embodiments of the present invention. Furthermore, the embodiments of the device described above are merely illustrative. The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between modules indicates that they have a communication connection, which can be implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without creative effort.

[0058] Based on the above-described method embodiments of the present invention, a corresponding embodiment of an electronic device is provided.

[0059] An embodiment of the present invention provides an electronic device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the rebar identification method for concrete poles according to any one of the present invention, or, when the processor executes the computer program, it implements the functions of each module in the above-described device embodiments.

[0060] For example, the computer program may be divided into one or more modules, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program in the terminal device.

[0061] The terminal device may be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0062] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the terminal device, connecting all parts of the terminal device via various interfaces and lines.

[0063] The memory can be used to store the computer programs and / or modules. The processor implements various functions of the terminal device by running or executing the computer programs and / or modules stored in the memory and by calling data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, applications required for at least one function, etc.; the data storage area may store data created based on the use of the mobile phone, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital card (SD card), flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0064] Based on the above method embodiments, the present invention provides corresponding storage medium embodiments; Another embodiment of the present invention provides a storage medium including a stored computer program, wherein, when the computer program is executed, the device where the storage medium is located controls the execution of the above-described method for identifying the reinforcing bars of any of the concrete poles of the present invention.

[0065] The aforementioned storage medium is a computer-readable storage medium, and the computer program includes computer program code, which may be in the form of source code, object code, executable file, or certain intermediate forms. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0066] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of those different embodiments or examples.

[0067] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for identifying the reinforcing bars of concrete utility poles, characterized in that, include: Electromagnetic induction data and radar scan data obtained by scanning a concrete pole are acquired; wherein the concrete pole is composed of several shallow steel bars, several deep steel bars and concrete medium; the electromagnetic induction data and the radar scan data correspond one-to-one in spatial position. Based on electromagnetic induction data and radar scanning data, the depth of several shallow steel bars, several deep steel bars, and the depth of each shallow steel bar inside the concrete pole were determined. The true dielectric constant of the concrete medium is determined based on the depth of each shallow reinforcement and the two-way travel time of each shallow reinforcement in the radar scan data. The depth of each deep steel bar is determined based on the true dielectric constant of the concrete medium and the two-way travel time of each deep steel bar in the radar scan data. Based on electromagnetic induction data and the true dielectric constant of the concrete medium, the attenuation coefficient of the concrete medium is determined; based on the attenuation coefficient of the concrete medium, a multi-layer steel reinforcement response model is constructed; based on the electromagnetic induction data, the multi-layer steel reinforcement response model is solved to generate the diameter of each shallow layer steel reinforcement and the diameter of each deep layer steel reinforcement. The depth, diameter, depth, and diameter of each shallow reinforcement bar are used as the reinforcement identification results for the concrete pole.

2. The method for identifying the reinforcing bars of concrete utility poles as described in claim 1, characterized in that, Based on electromagnetic induction data and radar scanning data, the depths of several shallow reinforcing bars, several deep reinforcing bars, and the depths of each shallow reinforcing bar inside the concrete pole were determined, including: The radar scan data was analyzed to identify the hyperbola used to characterize the reflection features of the steel bars; The x-coordinate of the vertices of each hyperbola is used to determine the horizontal position of the steel reinforcement inside the concrete pole, and the y-coordinate of the vertices of each hyperbola is used to determine the two-way travel time of the steel reinforcement inside the concrete pole. Reinforcing bars with a two-way travel time less than a preset time threshold are defined as shallow reinforcing bars, and reinforcing bars with a two-way travel time greater than or equal to a preset time threshold are defined as deep reinforcing bars. For each shallow reinforcement bar, the current transverse scanning signal curve corresponding to the current shallow reinforcement bar is extracted from the electromagnetic induction data; wherein, the horizontal coordinate of the transverse scanning signal curve is the transverse scanning position, and the vertical coordinate of the transverse scanning signal curve is the signal strength. The maximum value of the vertical axis in the current horizontal scan signal curve is determined as the current peak signal strength, and the horizontal axis corresponding to the current peak signal strength is determined as the current peak position. In the current horizontal scanning signal curve, a point whose horizontal coordinate is at a preset horizontal distance from the current peak position is selected as the current feature point; the vertical coordinate of the current feature point is used as the signal strength of the current feature point. Calculate the ratio of the current feature point signal intensity to the current peak signal intensity, and generate the current signal intensity ratio; The depth of the current shallow reinforcement is determined based on the current signal strength ratio and the preset depth ratio table.

3. The method for identifying the reinforcing bars of concrete utility poles as described in claim 2, characterized in that, Based on the depth of each shallow reinforcement layer and the two-way travel time of each shallow reinforcement layer in the radar scan data, the true dielectric constant of the concrete medium is determined, including: For each shallow reinforcement, the current propagation speed of electromagnetic waves in the concrete medium is determined based on the current depth of the shallow reinforcement and the two-way travel time of the current shallow reinforcement in the radar scan data; based on the current propagation speed and the preset speed of light in a vacuum, the local dielectric constant of the concrete medium corresponding to the current shallow reinforcement is determined. Calculate the mean local dielectric constant of the concrete medium corresponding to each shallow reinforcement layer to generate the true dielectric constant of the concrete medium.

4. The method for identifying the reinforcing bars of concrete utility poles as described in claim 3, characterized in that, Based on the true dielectric constant of the concrete medium and the two-way travel time of each deep reinforcement bar in the radar scan data, the depth of each deep reinforcement bar is determined, including: Based on the preset speed of light in a vacuum and the actual dielectric constant of the concrete medium, the global propagation speed of electromagnetic waves in the concrete medium is determined. The depth of each deep reinforcement bar is calculated based on the global propagation speed and the two-way travel time of each deep reinforcement bar in the radar scan data.

5. The method for identifying the reinforcing bars of concrete utility poles as described in claim 4, characterized in that, Based on electromagnetic induction data and the true dielectric constant of the concrete medium, the attenuation coefficient of the concrete medium is determined, including: The electromagnetic induction data is analyzed to extract phase information; The electrical conductivity of the concrete medium is determined based on the phase information. The attenuation coefficient of the concrete medium is calculated based on the electrical conductivity of the concrete medium, the true dielectric constant of the concrete medium, and the preset electromagnetic induction operating frequency.

6. The method for identifying the reinforcing bars of concrete utility poles as described in claim 5, characterized in that, Based on the attenuation coefficient of the concrete medium, a multi-layer steel reinforcement response model is constructed, including: Construct an electromagnetic response function for a single steel bar; wherein the electromagnetic response function is used to characterize the mapping relationship between the signal strength in electromagnetic induction data and the diameter, depth, and attenuation coefficient of the steel bar and the concrete medium; Substitute the depth of each shallow reinforcement and the attenuation coefficient of the concrete medium into the electromagnetic response function to construct the shallow response term of each shallow reinforcement. Substitute the depth of each deep steel bar and the attenuation coefficient of the concrete medium into the electromagnetic response function to construct the deep response term of each deep steel bar. A multi-layer rebar response model is generated by linearly superimposing each shallow and deep response term; wherein, the variables to be solved in the multi-layer rebar response model are the diameters of each shallow and deep rebar.

7. The method for identifying the reinforcing bars of concrete utility poles as described in claim 6, characterized in that, Based on electromagnetic induction data, the response model of multi-layer steel reinforcement is solved to generate the diameters of each shallow layer of steel reinforcement and each deep layer of steel reinforcement, including: For each shallow reinforcement, the diameter of the current shallow reinforcement is calculated by minimizing the difference between the calculated value of the shallow response term in the multi-layer reinforcement response model and the signal strength in the electromagnetic induction data. Substitute the diameter of each shallow reinforcement bar into the corresponding shallow response term to calculate the theoretical signal value of each shallow reinforcement bar. Based on the signal strength in the electromagnetic induction data and the theoretical signal values ​​of each shallow steel bar, the residual signal strength for the deep steel bar is determined. For each deep reinforcement, the diameter of the current deep reinforcement is calculated by minimizing the difference between the calculated value of the deep response term and the residual signal intensity in the multi-layer reinforcement response model.

8. A rebar identification device for concrete utility poles, characterized in that, include: Data acquisition module, depth determination module, diameter determination module, and result generation module; The data acquisition module is used to acquire electromagnetic induction data and radar scan data obtained by scanning the concrete pole; wherein, the concrete pole is composed of several shallow steel bars, several deep steel bars and concrete medium; the electromagnetic induction data and the radar scan data correspond one-to-one in spatial position. The depth determination module is used to determine the depth of several shallow steel bars, several deep steel bars, and each shallow steel bar inside the concrete pole based on electromagnetic induction data and radar scanning data; to determine the true dielectric constant of the concrete medium based on the depth of each shallow steel bar and the two-way travel time of each shallow steel bar in the radar scanning data; and to determine the depth of each deep steel bar based on the true dielectric constant of the concrete medium and the two-way travel time of each deep steel bar in the radar scanning data. The diameter determination module is used to determine the attenuation coefficient of the concrete medium based on electromagnetic induction data and the true dielectric constant of the concrete medium; to construct a multi-layer steel reinforcement response model based on the attenuation coefficient of the concrete medium; and to solve the multi-layer steel reinforcement response model based on electromagnetic induction data to generate the diameter of each shallow layer steel reinforcement and the diameter of each deep layer steel reinforcement. The result generation module is used to identify the depth, diameter, depth, and diameter of each shallow reinforcement bar as the reinforcement identification result of the concrete pole.

9. An electronic device, characterized in that, The method includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements the rebar identification method for concrete poles as described in any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium includes a stored computer program, wherein, when the computer program is executed, it controls the device containing the storage medium to perform the rebar identification method for concrete poles as described in any one of claims 1 to 7.

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