A cable return line theft monitoring method, system, device, and medium

Abstract

The application relates to the technical field of power systems and discloses a cable return line theft monitoring method, system, device and medium, wherein the method periodically sends a preset transmission signal to a preset signaling end of a target return line, acquires a receiving signal of a preset receiving end of the target return line within an expected arrival time window, and determines the correlation degree of the receiving signal and the transmission signal, so that the correlation degree is used for first re-determining whether the target return line is stolen; when it is determined that the correlation degree is not greater than a correlation degree threshold, a reflection signal corresponding to the transmission signal is collected at the preset signaling end, the reflection signal is used to determine that the target return line is stolen, second re-determination of whether the return line is stolen is performed, the cable return line theft is accurately detected, and the accuracy and reliability of the cable return line theft monitoring are improved.

Description

Technical Field

[0001] This invention relates to the field of power system technology, and in particular to a method, system, device and medium for monitoring the theft of cable return lines. Background Technology

[0002] In power systems, cable return lines are a crucial component of cable lines, and their safe operation is essential for ensuring the stability of the power system. However, cable return line theft occurs frequently, which not only leads to power outages but may also cause safety accidents. Therefore, real-time, efficient, and accurate monitoring of cable return line theft is of significant practical importance.

[0003] Traditional methods for detecting cable return line theft mostly rely on single-pulse signals. However, this approach faces numerous challenges in long cable monitoring scenarios. Firstly, long cables inherently possess significant distributed inductance, capacitance, resistance, and conductance, causing severe attenuation and distortion of the single-pulse signal during transmission. Secondly, the environment is susceptible to various noise interferences, such as electromagnetic interference and industrial noise. These noises further weaken the single-pulse signal, resulting in extremely weak reflected signals.

[0004] Because traditional single-pulse signals are easily affected by noise interference when monitoring long cables, the reflected signals are weak, making it difficult for the cable return line theft detection method to effectively detect whether the cable return line has been stolen or temporarily interfered with. This results in poor accuracy and reliability of cable return line theft detection. Summary of the Invention

[0005] In view of this, the present invention provides a method, system, device and medium for detecting theft of cable return lines, which solves the technical problem that the current method for detecting theft of cable return lines is difficult to effectively detect whether the cable return line has been stolen or temporarily interfered with, resulting in poor accuracy and reliability of the detection.

[0006] The first aspect of this invention provides a method for detecting theft of cable return lines, comprising:

[0007] A preset transmission signal is periodically sent to the preset transmitter of the target return line, and the received signal of the preset receiver of the target return line within the expected arrival time window is obtained.

[0008] Based on the received signal and the transmitted signal within the expected arrival time window, determine the correlation between the received signal and the transmitted signal;

[0009] Determine whether the correlation degree is greater than a preset correlation degree threshold;

[0010] When the correlation degree is determined to be greater than the preset correlation degree threshold, it is determined that the target backflow line has not been stolen.

[0011] When it is determined that the correlation degree is not greater than the preset correlation degree threshold, the reflected signal corresponding to the transmitted signal is collected at the preset transmitting end;

[0012] Determine whether the reflected signal is greater than a preset reflected signal threshold;

[0013] If the reflected signal is greater than the preset reflected signal threshold, then the target return line is determined to have been stolen.

[0014] Preferably, the method further includes:

[0015] Obtain the characteristic impedance parameters of the target return line, and determine the optimal center frequency of the transmitted signal of the target return line based on the characteristic impedance parameters;

[0016] The initial transmission signal of the target return line is determined based on the optimal center frequency.

[0017] The initial transmitted signal is subjected to gain processing to obtain the transmitted signal of the preset transmitting end of the target return line.

[0018] Preferably, the step of obtaining the characteristic impedance parameters of the target return line and determining the optimal center frequency of the transmitted signal of the target return line based on the characteristic impedance parameters includes:

[0019] Based on the return line structure parameters of the target return line, determine the characteristic impedance parameters of the target return line;

[0020] The input impedance of the target return line is determined based on the characteristic impedance parameters and the return line structure parameters.

[0021] With minimizing the imaginary part of the input impedance as the optimization objective, the objective function corresponding to the optimization objective is optimized and solved to obtain the optimal center frequency of the transmitted signal of the target return line.

[0022] Preferably, determining the initial transmission signal of the target return line based on the optimal center frequency includes:

[0023] Based on the optimal center frequency, a continuous spectral sine wave at the optimal center frequency is determined as the initial transmission signal of the target return line.

[0024] The step of performing gain processing on the initial transmitted signal to obtain the transmitted signal of the preset transmitting end of the target return line includes:

[0025] The length of the pseudo-random sequence is determined based on the preset gain.

[0026] The initial transmitted signal is amplified based on the pseudo-random sequence length and the pseudo-random coding sequence to obtain the transmitted signal of the preset transmitter end of the target return line.

[0027] Preferably, determining the correlation between the received signal and the transmitted signal based on the received signal and the transmitted signal within the expected arrival time window includes:

[0028] Based on the received signal and the transmitted signal within the expected arrival time window, the correlation between the received signal and the transmitted signal is determined by the following formula; wherein, the correlation is:

[0029]

[0030] In the formula, For relevance, The expected start time of the arrival time window. The expected arrival time window's end time. As the starting time point, For signal transmission delay time, For signal frequency, For a period of time, Tolerance clock, In order to receive signals, The signal transmission delay time The transmitted signal after, where t is time; where,

[0031]

[0032] In the formula, This is a noise signal.

[0033] Preferably, acquiring the reflected signal corresponding to the transmitted signal at the preset transmitting end includes:

[0034] The initial reflected signal corresponding to the transmitted signal is acquired at the preset transmitting end;

[0035] The initial reflected signal is filtered using the wide filter transfer function to obtain the reflected signal; wherein the reflected signal is:

[0036]

[0037] In the formula, For reflected signals, This is the initial reflected signal. Here, the wide-band filter transfer function is:

[0038]

[0039] In the formula, For signal frequency, The optimal center frequency for transmitting the signal. For bandwidth.

[0040] Preferably, the method further includes:

[0041] The reflection delay is obtained by performing an inverse function calculation based on the reflected signal.

[0042] The location of the stolen signal, at a distance from the preset transmitter, is determined based on the reflection delay and the propagation speed of the transmitted signal.

[0043] Secondly, the present invention also provides a cable return line theft monitoring system, comprising:

[0044] The signal transmission module is used to periodically send a preset transmission signal to the preset transmitter of the target return line, and to acquire the received signal of the preset receiver of the target return line within the expected arrival time window.

[0045] The signal correlation module is used to determine the correlation degree between the received signal and the transmitted signal based on the received signal and the transmitted signal within the expected arrival time window;

[0046] The first judgment module is used to determine whether the correlation degree is greater than a preset correlation degree threshold;

[0047] The first determination module is used to determine that the target backflow line has not been stolen when the correlation degree is greater than the preset correlation degree threshold.

[0048] The second determination module is used to collect the reflected signal corresponding to the transmitted signal at the preset transmitting end when it is determined that the correlation degree is not greater than the preset correlation degree threshold.

[0049] The second judgment module is used to determine whether the reflected signal is greater than a preset reflected signal threshold.

[0050] The third determination module is used to determine that the target return line has been stolen when the reflected signal is greater than the preset reflected signal threshold.

[0051] Thirdly, the present invention also provides an electronic device, the electronic device including a memory and a processor, the memory storing a computer program, the computer program being executed by the processor causing the processor to perform the steps of the cable return line theft monitoring method as described in the first aspect.

[0052] Fourthly, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed, implements the steps of the cable return line theft monitoring method as described in the first aspect.

[0053] As can be seen from the above technical solution, the present invention periodically sends a preset transmission signal to the preset transmitter of the target return line and obtains the received signal at the preset receiver of the target return line within the expected arrival time window. It then determines the correlation between the received signal and the transmission signal, thereby performing a first-level determination of whether the target return line has been stolen based on the correlation. When the correlation is determined to be less than the correlation threshold, the reflected signal corresponding to the transmission signal is collected at the preset transmitter. Using the reflected signal, the target return line is determined to have been stolen, thus performing a second-level determination of whether the return line has been stolen. This accurately detects whether the cable return line has been stolen or temporarily interfered with, improving the accuracy and reliability of cable return line theft monitoring. Attached Figure Description

[0054] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0055] Figure 1 This is an application environment diagram of a cable return line theft monitoring method provided in an embodiment of the present invention;

[0056] Figure 2 A flowchart illustrating a method for detecting cable return line theft provided in an embodiment of the present invention;

[0057] Figure 3 This is a schematic diagram of the target return line provided in an embodiment of the present invention;

[0058] Figure 4 This is a schematic diagram of a cable return line theft monitoring system provided in an embodiment of the present invention;

[0059] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0060] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. 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.

[0061] In power systems, cable return lines are a crucial component of cable lines, and their safe operation is essential for ensuring the stability of the power system. However, cable return line theft occurs frequently, which not only leads to power outages but may also cause safety accidents. Therefore, real-time, efficient, and accurate monitoring of cable return line theft is of significant practical importance.

[0062] Traditional methods for detecting cable return line theft mostly rely on single-pulse signals. However, this approach faces numerous challenges in long cable monitoring scenarios. Firstly, long cables inherently possess significant distributed inductance, capacitance, resistance, and conductance, causing severe attenuation and distortion of the single-pulse signal during transmission. Secondly, the environment is susceptible to various noise interferences, such as electromagnetic interference and industrial noise. These noises further weaken the single-pulse signal, resulting in extremely weak reflected signals.

[0063] Because traditional single-pulse signals are easily affected by noise interference when monitoring long cables, the reflected signals are weak, making it difficult for the cable return line theft detection method to effectively detect whether the cable return line has been stolen or temporarily interfered with. This results in poor accuracy and reliability of cable return line theft detection.

[0064] Therefore, in order to solve the above-mentioned technical problems, this application provides a method for detecting theft of cable return lines, which can be applied to, for example... Figure 1In the application environment shown, terminal 101 communicates with server 102 via a network. A data storage system can store the data that server 102 needs to process. The data storage system can be integrated onto server 102 or placed on the cloud or other network servers. Terminal 101 or server 102 periodically sends a preset transmission signal to a preset transmitter of the target backhaul line and obtains the received signal from a preset receiver of the target backhaul line within the expected arrival time window. Based on the received and transmitted signals within the expected arrival time window, the correlation between the received and transmitted signals is determined. It is then determined whether the correlation is greater than a preset correlation threshold. If the correlation is greater than the preset correlation threshold, the target backhaul line is determined not to have been stolen. If the correlation is not greater than the preset correlation threshold, the reflected signal corresponding to the transmitted signal is collected at the preset transmitter. The reflected signal is then determined whether it is greater than a preset reflected signal threshold. If the reflected signal is greater than the preset reflected signal threshold, the target backhaul line is determined to have been stolen.

[0065] Terminal 101 can be, but is not limited to, various personal computers, laptops, smartphones, and tablets.

[0066] Server 102 can be a standalone physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server that provides cloud computing services.

[0067] like Figure 2 As shown in the embodiment of this application, a method for detecting the theft of cable return lines is provided, which is applied to... Figure 1 Taking terminal 101 or server 102 as an example, the explanation includes the following steps S1 to S7. Wherein:

[0068] Step S1: Periodically send a preset transmission signal to the preset transmitter of the target return line, and obtain the received signal of the preset receiver of the target return line within the expected arrival time window.

[0069] Periodicity refers to the repeated execution of signal transmission and reception operations at fixed time intervals, such as triggering a complete monitoring cycle every 5 seconds, 30 seconds, or 1 minute; this interval can be dynamically configured according to cable length, on-site noise level, and safety level.

[0070] The transmitting end is the key starting point for sending specialized transmission signals to the cable return line, while the receiving end is the crucial endpoint responsible for receiving signals reflected back from the cable return line. These transmission signals are carefully designed special signals to ensure good signal integrity and stability during transmission through the cable return line, thereby guaranteeing that the receiving end can accurately detect and interpret these signals to achieve efficient communication or measurement purposes.

[0071] In step S1, a specific, planned transmission signal is continuously transmitted to a pre-defined signal transmission port on the target return line at preset time intervals. Subsequently, within a pre-calculated expected arrival time range, the system captures the response signal reflected back from the cable return line through a preset signal receiving port. This expected arrival time window is a specific time interval pre-set based on the signal propagation rate, the actual length of the return line, and other relevant transmission parameters. Its purpose is to ensure that the system can accurately receive and process the signal reflected back from the end of the line within this time period.

[0072] Step S2: Determine the correlation between the received signal and the transmitted signal based on the received signal and the transmitted signal within the expected arrival time window.

[0073] Correlation is a key performance indicator used to measure the similarity or consistency between the received signal and the original transmitted signal. In specific embodiments of the present invention, the correlation between the received and transmitted signals can be quantitatively calculated using a predefined algorithm or precise mathematical formula. The core objective of this processing step is to detect potential anomalies in the cable return line system, such as theft of sections of the line or temporary external electromagnetic interference. These anomalies directly affect the integrity of signal transmission, causing significant differences between the characteristics of the finally received signal and the initial transmitted signal, thus altering the calculated correlation value accordingly.

[0074] Step S3: Determine whether the correlation degree is greater than the preset correlation degree threshold.

[0075] The correlation threshold is a crucial preset reference standard in the signal detection system, used to measure the similarity or matching degree between the received and transmitted signals. The purpose of setting this threshold is to determine whether the correlation between the two signals has reached a sufficient level, thus enabling effective evaluation of the cable return line's status. When the calculated correlation is higher than this preset threshold, the system determines that the cable return line is operating normally, without theft or other interference; conversely, if the correlation is lower than or equal to the threshold, it suggests a possible abnormality, and the system will prompt further detailed detection and analysis to eliminate potential risks or faults.

[0076] Step S4: When the correlation is greater than the preset correlation threshold, it is determined that the target backflow line has not been stolen.

[0077] If the correlation degree is greater than a preset correlation degree threshold, it indicates that the received reflected signal and the original transmitted signal have a high similarity. This usually means that the cable return line is in normal condition and has not been stolen or damaged. Therefore, the system can determine that the target return line is in a safe state and has not been stolen. This determination result can be fed back to relevant personnel in real time so that they can understand the safety status of the cable return line in a timely manner and take appropriate maintenance or management measures.

[0078] Step S5: When the correlation degree is determined to be no greater than the preset correlation degree threshold, the reflected signal corresponding to the transmitted signal is collected at the preset transmitting end.

[0079] The reflected signal refers to the signal component reflected back when the original transmitted signal propagates in the cable return line and encounters changes such as impedance mismatch. In step S5, the system calculates the similarity correlation between the received signal and the transmitted signal and compares it with a preset correlation threshold. If the correlation does not reach the threshold level, it indicates that the similarity between the received signal and the transmitted signal is low, which may suggest interference, attenuation, or other abnormal conditions during signal transmission. To further diagnose the actual working condition of the cable return line, the system activates a preset detection mechanism to collect the reflected signal corresponding to the current transmitted signal at a designated signal transmission port, so as to perform further analysis and status assessment based on the characteristics of the reflected signal.

[0080] Step S6: Determine whether the reflected signal is greater than the preset reflected signal threshold;

[0081] Step S7: When the reflected signal is greater than the preset reflected signal threshold, it is determined that the target return line has been stolen.

[0082] Specifically, when the reflected signal value detected by the system exceeds a preset reflected signal threshold, this phenomenon clearly indicates an abnormal change in the impedance of the cable return line. This unexpected impedance change can usually be attributed to the possibility of the cable return line being stolen or damaged. In the event of theft, the original physical structure or connection integrity of the cable return line will be compromised, causing the line impedance to deviate significantly from the normal design range. Due to the abrupt change in impedance, the reflection conditions encountered by the transmitted signal on the return line will be significantly aggravated, resulting in a substantial increase in the intensity of the reflected signal, to the point that it significantly exceeds the preset safety threshold level in the system.

[0083] Therefore, when the reflected signal exceeds a preset threshold, it can be determined that the target return cable may have been stolen. This determination is crucial for taking timely countermeasures and protecting the safety of the cable return line. Simultaneously, the system can provide real-time feedback of the determination to relevant personnel, enabling them to respond quickly and take appropriate actions, such as dispatching maintenance personnel to the site to inspect, repair, or replace the stolen cable return line.

[0084] Specifically, if the reflected signal is not greater than a preset reflected signal threshold, it is determined that the target return line has not been stolen.

[0085] It should be noted that, in this embodiment, a preset transmission signal is periodically sent to a preset transmitter of the target return line, and the received signal at a preset receiver of the target return line within the expected arrival time window is obtained. The correlation between the received signal and the transmission signal is determined, and a first determination of whether the target return line has been stolen is made based on the correlation. When the correlation is determined to be less than the correlation threshold, the reflected signal corresponding to the transmission signal is collected at the preset transmitter. The reflected signal is used to determine whether the target return line has been stolen, and a second determination of whether the return line has been stolen is made. This accurately detects whether the cable return line has been stolen or temporarily interfered with, improving the accuracy and reliability of cable return line theft monitoring.

[0086] like Figure 3 As shown, a transmitting device is arranged at the transmitting end 2 of the target return line 1, and a receiving device is arranged at the receiving end 3. A transmitting signal with low loss and high discrimination is designed. This transmitting signal is a continuous sine wave with a specific center frequency. Its spectral distribution exhibits a certain width characteristic, and most of its energy is concentrated in the region surrounding this center frequency, thus forming a distinct peak on the spectrum. In contrast, noise typically exhibits a wide-band random distribution, with its energy dispersed throughout the frequency domain, and its spectral performance lacks continuity or irregular fluctuations. Therefore, the transmitting signal designed in this way can effectively distinguish itself from noise and demonstrates significant discrimination in signal detection and recognition.

[0087] Specifically, in some embodiments, the method further includes:

[0088] Step 11: Obtain the characteristic impedance parameters of the target return line, and determine the optimal center frequency of the transmitted signal of the target return line based on the characteristic impedance parameters.

[0089] Among them, the characteristic impedance parameter is a core and crucial technical indicator used to describe the electrical characteristics of the cable return line. It directly affects the reflection effect and attenuation degree of the signal during transmission in the cable return line. By accurately measuring and obtaining the characteristic impedance parameter of the target return line, an optimal center frequency can be analyzed and calculated, so that the transmitted signal can minimize signal loss during transmission at that specific frequency, thereby significantly improving the overall transmission efficiency and stability of the signal in the cable return line.

[0090] In some embodiments, obtaining the characteristic impedance parameters of the target return line and determining the optimal center frequency of the transmitted signal of the target return line based on the characteristic impedance parameters includes:

[0091] Step S111: Determine the characteristic impedance parameters of the target return line based on the return line structure parameters of the target return line.

[0092] Among them, the return line structural parameters refer to the physical structural characteristics of the return line. The return line structural parameters include the return line length l, the inductance per unit length L0, the capacitance per unit length C0, the resistance per unit length R0, and the conductance per unit length G0.

[0093] The characteristic impedance parameters are:

[0094]

[0095] In the formula, Characteristic impedance, For imaginary units, ω is the angular frequency.

[0096] Step S112: Determine the input impedance of the target return line based on the characteristic impedance parameters and the return line structure parameters.

[0097] The input impedance of the target return line is:

[0098]

[0099] In the formula, This is the input impedance.

[0100] Step S113: Taking the minimization of the imaginary part of the input impedance as the optimization objective, the objective function corresponding to the optimization objective is optimized and solved to obtain the optimal center frequency of the transmitted signal of the target return line.

[0101] The optimization objective aims to minimize transmission energy requirements by finely adjusting system parameters. Specifically, the objective function is designed and calculated based on the resonance condition between the target return line and the transmitted signal. By ensuring a highly matched resonance state, signal transmission efficiency is effectively improved, and unnecessary energy loss is reduced. Therefore, the entire optimization process uses the resonance condition as the core reference indicator. Through systematic solution and optimization of the objective function, a significant reduction in transmission energy consumption is ultimately achieved, reaching the required minimum energy.

[0102] Specifically, based on the resonance condition, we set the imaginary part of the input impedance to zero. Therefore, the objective function using the imaginary part of the input impedance is:

[0103]

[0104] In the formula, This is an operation to extract the imaginary part.

[0105] The optimal frequency is obtained by finding the minimum value of the objective function, which is expressed as:

[0106]

[0107] In the formula, This is the optimal frequency.

[0108] In this process, a sinusoidal wave with a specific continuous spectrum is designed as the transmission signal in the transmitting device. By precisely measuring the actual physical length of the return line and a series of key electrical parameters per unit length, such as inductance, capacitance, resistance, and conductance, the characteristic impedance and input impedance of the transmission line are calculated. Using the imaginary part of the input impedance as the core optimization objective function, the frequency point corresponding to the minimum value of this function is mathematically determined, thus identifying the optimal center frequency for the transmitted signal of the current target return line system. The selection of this frequency ensures that the transmission and reflection characteristics of the signal in the return line achieve optimal matching, thereby ensuring the optimal performance of the entire monitoring system.

[0109] Step 12: Determine the initial transmission signal of the target return line based on the optimal center frequency.

[0110] Specifically, after determining the optimal center frequency, a corresponding continuous-spectrum sine wave needs to be selected as the initial transmission signal used by the target return line. By precisely adhering to the requirement of the optimal center frequency, it is ensured that the adopted continuous-spectrum sine wave can maintain the continuity and stability of its spectrum at this center frequency, thus clearly defining it as the initial transmission signal form of the target return line. The entire process not only ensures precise frequency matching of the signal but also enhances the reliability and stability of the signal in the initial transmission stage, laying a solid foundation for subsequent signal processing and transmission of the target return line.

[0111] The initial transmitted signal s(t) can be expressed by the following formula:

[0112]

[0113] In the formula, The optimal center frequency is given by A, where A is the signal amplitude. The standard deviation is denoted as .

[0114] Step 13: Perform gain processing on the initial transmission signal to obtain the transmission signal of the preset transmitter end of the target return line.

[0115] Traditional single-pulse signals are highly susceptible to severe interference from environmental noise during transmission, significantly impacting signal quality and reliability. This leads to a continuous weakening of the original signal strength, and in some cases, complete suppression. This phenomenon is particularly pronounced in complex environments or long-distance cable transmission applications. In long-distance cables, the signal weakens not only due to the inherent attenuation characteristics of the line's resistance and capacitance, but also due to multipath effects caused by impedance discontinuities or connection points along the transmission path, resulting in additional energy loss and time delay. Especially in transmission paths spanning several kilometers or even longer, the signal energy returning after reflection and scattering is often extremely weak, potentially dropping to near-noise floor levels. This makes it nearly impossible for the receiver to accurately identify and extract effective signal components from the complex background noise, posing a severe challenge to reliable system detection and analysis.

[0116] To address this technical challenge, this application proposes an efficient and reliable solution: First, the initially transmitted signal undergoes specially designed gain amplification to increase its initial transmission power. Then, leveraging the advantages of pseudo-random spread spectrum technology, the original signal is modulated into a coded sequence with spectral expansion. The signal-to-noise ratio (SNR) of the detection signal is improved based on pseudo-random spread spectrum. The transmitted signal s(t) is convolved with an n-bit pseudo-random coded sequence p(n) to expand the signal bandwidth and increase energy density, thereby effectively enhancing the signal's anti-interference capability and discriminability during transmission. Ultimately, this significantly improves the overall SNR of the detection signal, ensuring accurate identification and reliable capture of weak reflected signals even in noisy electromagnetic environments.

[0117] Specifically, the initial transmitted signal is amplified to obtain the transmitted signal at the preset transmitter end of the target return line, including:

[0118] Step 131: Determine the length of the pseudo-random sequence based on the preset gain.

[0119] The gain preset can be calculated according to the following formula:

[0120]

[0121] In the formula, For gain, This is the length of the pseudo-random sequence. The value is preset through user on-site debugging. Determine the length N of the pseudo-random sequence.

[0122] Step 132: Perform gain processing on the initial transmitted signal according to the pseudo-random sequence length and pseudo-random coding sequence to obtain the transmitted signal of the preset transmitter end of the target return line.

[0123] The transmitted signal can be processed using the following formula to obtain the gain-processed transmitted signal. :

[0124]

[0125] In the formula, It is a pseudo-random sequence (such as a 511-bit Gold code). The chip period (matched with the pulse width). Let n be the unit impulse function and n be the pseudo-random code sequence number.

[0126] In some embodiments, the peak value of the cross-correlation between the received and transmitted signals within the calculation window is determined to eliminate the influence of noise. Therefore, the correlation between the received and transmitted signals is determined based on the received and transmitted signals within the expected arrival time window, including:

[0127] Step S201: Based on the received and transmitted signals within the expected arrival time window, determine the correlation between the received and transmitted signals using the following formula; where the correlation is:

[0128]

[0129] In the formula, For relevance, The expected start time of the arrival time window. The expected arrival time window's end time. As the starting time point, For signal transmission delay time, For signal frequency, For a period of time, Tolerance clock, In order to receive signals, The signal transmission delay time The transmitted signal after, where t is time; where,

[0130]

[0131] In the formula, This is a noise signal.

[0132] The propagation delay is calculated by the propagation time of the transmitted signal in the return line. Specifically, the propagation speed v in the return line is calculated.

[0133]

[0134] L0 and C0 are obtained from measurements. The propagation delay in the return line is calculated. :

[0135]

[0136] In the formula, This is the length of the return line.

[0137] The expected arrival time window is set based on the expected arrival time: [ , ], where Δt = 10 μs.

[0138] The user-defined correlation threshold K1 is a classic value of 0.25A. If the correlation is greater than K1, the line is considered intact; if the correlation is less than or equal to K1, the second-level reflection pulse trigger detection principle is triggered. The second-level reflection pulse trigger detection principle is activated when the first-level determination fails. The transmitting end starts the reflection signal acquisition function, analyzes the reflection signal to diagnose whether the open circuit is caused by theft, and locates the breakpoint. This includes: filtering and denoising the reflection signal, determining its location, and performing inverse function calculation on the received signal to pinpoint the breakpoint.

[0139] In some embodiments, acquiring the reflected signal corresponding to the transmitted signal at a preset transmitting end includes:

[0140] Step S501: Acquire the initial reflected signal corresponding to the transmitted signal at the preset transmitter end;

[0141] Step S502: Filter the initial reflected signal using a wide-pass filter transfer function to obtain the reflected signal; wherein, the reflected signal is:

[0142]

[0143] In the formula, For reflected signals, This is the initial reflected signal. Here, the wide-band filter transfer function is:

[0144]

[0145] In the formula, For signal frequency, The optimal center frequency for transmitting the signal. For bandwidth.

[0146] Among them, the reflected signal filtering, noise reduction, and determination can be processed by designing a bandpass filter and setting the bandwidth. =( z), the user-defined reflected signal threshold K2 is the classic value of 0.4A.

[0147] like Figure 3 As shown, the judgment process of the dual-judgment monitoring logic for target return line theft is as follows: First, the first judgment is performed. If the receiver 3 detects a valid signal cross-correlation peak intensity R(τ) > threshold within the time window, the line is judged to be normal. If the first judgment fails, the second judgment is triggered. The transmitter starts self-reflection detection. If a reflected pulse is detected (amplitude suddenly increases at Rref(f)), it is judged to be open-circuit theft, and location is triggered. If no reflected pulse is detected, it is judged to be temporary interference (such as communication failure).

[0148] It should be noted that the embodiments of this application employ a highly efficient signal processing technique. By designing a suitable wide-band filter transfer function to perform filtering operations on the initial reflected signal, unnecessary noise interference from out-of-band sources can be effectively suppressed, thereby significantly improving the signal-to-noise ratio of the reflected signal and making subsequent signal analysis and feature extraction more reliable and accurate. Simultaneously, the parameters of this wide-band filter are determined by precisely matching the optimal center frequency of the transmitted signal with a pre-set bandwidth. This precise matching ensures that the system can still robustly and accurately extract key reflection features under various complex environments or interference conditions, enhancing the robustness and adaptability of the entire processing flow.

[0149] In some embodiments, if theft occurs, an inverse function calculation is performed on the received signal and the location is determined.

[0150] Therefore, this method also includes:

[0151] Step S801: Calculate the reflection time delay by performing an inverse function based on the reflected signal.

[0152] The expression for the reflected signal received by the transmitting end is listed below:

[0153]

[0154] In the formula, For open-circuit reflection coefficient: Γ=1 (total reflection), 2τ is the round-trip time delay.

[0155] The reflection delay is obtained through inverse function operations:

[0156]

[0157] In the formula, x is the original reflected signal. range.

[0158] Step S802: Determine the location of the stolen signal at a distance from the preset transmitter based on the reflection delay and the propagation speed of the transmitted signal.

[0159] The location of the stolen device, at a distance from the preset transmitter, is:

[0160]

[0161] In the formula, D is the location of the stolen device at a distance from the preset transmitter.

[0162] It should be noted that, in the embodiments of this application, the transmitted signal is convolved with a pseudo-random coded sequence, the specific value of the gain level is set and determined, the length of the pseudo-random sequence is calculated based on this, and the original transmitted signal is digitally modulated and transformed to expand the signal's spectral bandwidth and increase its power distribution density within a unit bandwidth. This significantly enhances the signal's anti-interference capability in complex noise environments, thereby effectively solving the inherent defects of traditional single-pulse signals being easily submerged by background noise and difficult to identify under low signal-to-noise ratio conditions.

[0163] This application proposes a dual-judgment process for detecting return line theft. In the first judgment stage, the transmitting end continuously sends signals outward at a preset periodic frequency, while the receiving end receives the signals in real time and accurately calculates their propagation delay along the transmission path. Subsequently, the receiving end performs cross-correlation analysis with the received signal sequence based on the system's preset time window parameters. If the detected cross-correlation peak meets the expected range, the current line operation is judged to be normal. If the first judgment fails, it indicates that the preliminary detection is abnormal, and the system automatically triggers the second judgment mechanism. In the second judgment, the transmitting end initiates a self-reflection detection process, that is, sending a specific signal to the line and receiving the reflected signal from the line. Next, by performing digital filtering and noise suppression on the reflected signal, the effective components are extracted, and the signal propagation path is reverse-analyzed and located through inverse function calculation. Based on this, the system can comprehensively determine whether the line abnormality is caused by theft leading to an open circuit, and if theft is confirmed, further pinpoint the specific location of the stolen line.

[0164] Meanwhile, by designing a unique transmission signal and accurately calculating the optimal center frequency, the transmission signal with the best monitoring effect is determined based on the return line characteristic parameters. Compared with traditional methods, this approach can more effectively utilize signal energy, reduce power consumption, and improve monitoring accuracy. Pseudo-random spread spectrum is used to improve the signal-to-noise ratio of the detection signal and enhance its anti-interference capability in noisy environments. Especially in long cable monitoring, this solves the problem of weak reflected signals being easily drowned out by noise, thus improving the reliability of the monitoring system. A dual-judgment monitoring logic is established: the first judgment quickly determines whether the line is normal or not; the second judgment performs reflection detection and location when the first judgment fails, effectively distinguishing between circuit theft and temporary interference, improving the accuracy and reliability of theft detection, and reducing false positives.

[0165] Based on the same inventive concept, this application also provides a cable return line theft monitoring system for implementing the cable return line theft monitoring method described above.

[0166] The solution provided by this system is similar to the solution described in the above method. Therefore, the specific limitations of one or more cable return line theft monitoring system embodiments provided below can be found in the limitations of the cable return line theft monitoring method above, and will not be repeated here.

[0167] like Figure 4 As shown in the figure, this application provides a cable return line theft monitoring system, including:

[0168] The signal transmitting module 100 is used to periodically send a preset transmitting signal to the preset transmitting end of the target return line, and to acquire the received signal of the preset receiving end of the target return line within the expected arrival time window.

[0169] The signal correlation module 200 is used to determine the correlation between the received signal and the transmitted signal based on the received signal and the transmitted signal within the expected arrival time window;

[0170] The first judgment module 300 is used to determine whether the correlation degree is greater than the preset correlation degree threshold;

[0171] The first determination module 400 is used to determine that the target backflow line has not been stolen when the determination correlation is greater than the preset correlation threshold.

[0172] The second determination module 500 is used to collect the reflected signal corresponding to the transmitted signal at the preset transmitting end when the correlation degree is not greater than the preset correlation degree threshold.

[0173] The second judgment module 600 is used to determine whether the reflected signal is greater than a preset reflected signal threshold.

[0174] The third determination module 700 is used to determine that the target return line has been stolen when the reflected signal is greater than the preset reflected signal threshold.

[0175] In some embodiments, the system further includes:

[0176] The center frequency determination module is used to obtain the characteristic impedance parameters of the target return line and determine the optimal center frequency of the transmitted signal of the target return line based on the characteristic impedance parameters.

[0177] The transmission signal determination module is used to determine the initial transmission signal of the target return line based on the optimal center frequency;

[0178] The signal gain module is used to perform gain processing on the initial transmitted signal to obtain the transmitted signal of the preset transmitter end of the target return line.

[0179] In some embodiments, the center frequency determination module is configured to:

[0180] Based on the return line structure parameters of the target return line, determine the characteristic impedance parameters of the target return line;

[0181] The input impedance of the target return line is determined based on the characteristic impedance parameters and the return line structure parameters.

[0182] By minimizing the imaginary part of the input impedance as the optimization objective, the objective function corresponding to the optimization objective is optimized and solved to obtain the optimal center frequency of the transmitted signal of the target return line.

[0183] In some embodiments, the transmit signal determination module is configured to:

[0184] Based on the optimal center frequency, a continuous spectral sine wave at the optimal center frequency is determined as the initial transmission signal of the target return line;

[0185] Signal gain module, used for:

[0186] The length of the pseudo-random sequence is determined based on the preset gain.

[0187] The initial transmitted signal is amplified by the pseudo-random sequence length and the pseudo-random coding sequence to obtain the transmitted signal of the preset transmitter end of the target return line.

[0188] In some embodiments, the signal association module 200 is configured to:

[0189] Based on the received and transmitted signals within the expected arrival time window, the correlation between the received and transmitted signals is determined using the following formula; where the correlation is:

[0190]

[0191] In the formula, For relevance, The expected start time of the arrival time window. The expected arrival time window's end time. As the starting time point, For signal transmission delay time, For signal frequency, For a period of time, Tolerance clock, In order to receive signals, The signal transmission delay time The transmitted signal after, where t is time; where,

[0192]

[0193] In the formula, This is a noise signal.

[0194] In some embodiments, the system further includes: a reflected signal acquisition module, configured to:

[0195] The initial reflected signal corresponding to the transmitted signal is acquired at the preset transmitting end;

[0196] The initial reflected signal is filtered using a wide-pass filter transfer function to obtain the reflected signal; the reflected signal is:

[0197]

[0198] In the formula, For reflected signals, This is the initial reflected signal. Here, the wide-band filter transfer function is:

[0199]

[0200] In the formula, For signal frequency, The optimal center frequency for transmitting the signal. For bandwidth.

[0201] In some embodiments, the system further includes a theft location module, used for:

[0202] The reflection delay is obtained by calculating the inverse function based on the reflected signal;

[0203] The location of the stolen signal is determined based on the reflection delay and the propagation speed of the transmitted signal, at a distance from the preset transmitter.

[0204] This application embodiment periodically sends a preset transmission signal to a preset transmitter of the target return line and obtains the received signal at a preset receiver of the target return line within the expected arrival time window. The correlation between the received signal and the transmission signal is determined, and a first determination of whether the target return line has been stolen is made based on the correlation. When the correlation is determined to be less than a correlation threshold, the reflected signal corresponding to the transmission signal is collected at the preset transmitter. The reflected signal is used to determine whether the target return line has been stolen, thus making a second determination of whether the return line has been stolen. This accurately detects whether the cable return line has been stolen or temporarily interfered with, improving the accuracy and reliability of cable return line theft monitoring.

[0205] like Figure 5 As shown, this application embodiment provides an electronic device. The electronic device 10 includes a memory 20 and a processor 30. The memory 20 stores a computer program. When the computer program is executed by the processor 30, the processor 30 performs the following steps:

[0206] Periodically send a preset transmission signal to the preset transmitter of the target return line, and acquire the received signal of the preset receiver of the target return line within the expected arrival time window;

[0207] Determine the correlation between the received and transmitted signals based on the expected arrival time window;

[0208] Determine whether the correlation degree is greater than the preset correlation degree threshold;

[0209] If the correlation is greater than the preset correlation threshold, it is determined that the target backflow line has not been stolen.

[0210] When the correlation degree is determined to be no greater than the preset correlation degree threshold, the reflected signal corresponding to the transmitted signal is collected at the preset transmitting end.

[0211] Determine whether the reflected signal is greater than a preset reflected signal threshold;

[0212] If the reflected signal is greater than the preset reflected signal threshold, it is determined that the target return line has been stolen.

[0213] In some embodiments, when the computer program is executed by the processor 30, the processor 30 further performs the following steps:

[0214] Obtain the characteristic impedance parameters of the target return line, and determine the optimal center frequency of the transmitted signal of the target return line based on the characteristic impedance parameters;

[0215] The initial transmission signal of the target return line is determined based on the optimal center frequency;

[0216] The initial transmitted signal is amplified to obtain the transmitted signal at the preset transmitter end of the target return line.

[0217] In some embodiments, when the computer program is executed by the processor 30, the processor 30 further performs the following steps:

[0218] Based on the return line structure parameters of the target return line, determine the characteristic impedance parameters of the target return line;

[0219] The input impedance of the target return line is determined based on the characteristic impedance parameters and the return line structure parameters.

[0220] By minimizing the imaginary part of the input impedance as the optimization objective, the objective function corresponding to the optimization objective is optimized and solved to obtain the optimal center frequency of the transmitted signal of the target return line.

[0221] In some embodiments, when the computer program is executed by the processor 30, the processor 30 further performs the following steps:

[0222] Based on the optimal center frequency, a continuous spectral sine wave at the optimal center frequency is determined as the initial transmission signal of the target return line;

[0223] Gain processing is performed on the initial transmitted signal to obtain the transmitted signal at the preset transmitter end of the target return line, including:

[0224] The length of the pseudo-random sequence is determined based on the preset gain.

[0225] The initial transmitted signal is amplified by the pseudo-random sequence length and the pseudo-random coding sequence to obtain the transmitted signal of the preset transmitter end of the target return line.

[0226] In some embodiments, when the computer program is executed by the processor 30, the processor 30 further performs the following steps:

[0227] Based on the received and transmitted signals within the expected arrival time window, the correlation between the received and transmitted signals is determined using the following formula; where the correlation is:

[0228]

[0229] In the formula, For relevance, The expected start time of the arrival time window. The expected arrival time window's end time. As the starting time point, For signal transmission delay time, For signal frequency, For a period of time, Tolerance clock, In order to receive signals, The signal transmission delay time The transmitted signal is given after time t; where,

[0230]

[0231] In the formula, This is a noise signal.

[0232] In some embodiments, when the computer program is executed by the processor 30, the processor 30 further performs the following steps:

[0233] The initial reflected signal corresponding to the transmitted signal is acquired at the preset transmitting end;

[0234] The initial reflected signal is filtered using a wide-pass filter transfer function to obtain the reflected signal; the reflected signal is:

[0235]

[0236] In the formula, For reflected signals, This is the initial reflected signal. Here, the wide-band filter transfer function is:

[0237]

[0238] In the formula, For signal frequency, The optimal center frequency for transmitting the signal. For bandwidth.

[0239] In some embodiments, when the computer program is executed by the processor 30, the processor 30 further performs the following steps:

[0240] The reflection delay is obtained by calculating the inverse function based on the reflected signal;

[0241] The location of the stolen signal is determined based on the reflection delay and the propagation speed of the transmitted signal, at a distance from the preset transmitter.

[0242] This application embodiment periodically sends a preset transmission signal to a preset transmitter of the target return line and obtains the received signal at a preset receiver of the target return line within the expected arrival time window. The correlation between the received signal and the transmission signal is determined, and a first determination of whether the target return line has been stolen is made based on the correlation. When the correlation is determined to be less than a correlation threshold, the reflected signal corresponding to the transmission signal is collected at the preset transmitter. The reflected signal is used to determine whether the target return line has been stolen, thus making a second determination of whether the return line has been stolen. This accurately detects whether the cable return line has been stolen or temporarily interfered with, improving the accuracy and reliability of cable return line theft monitoring.

[0243] This application provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed, it performs the following steps:

[0244] Periodically send a preset transmission signal to the preset transmitter of the target return line, and acquire the received signal of the preset receiver of the target return line within the expected arrival time window;

[0245] Determine the correlation between the received and transmitted signals based on the expected arrival time window;

[0246] Determine whether the correlation degree is greater than the preset correlation degree threshold;

[0247] If the correlation is greater than the preset correlation threshold, it is determined that the target backflow line has not been stolen.

[0248] When the correlation degree is determined to be no greater than the preset correlation degree threshold, the reflected signal corresponding to the transmitted signal is collected at the preset transmitting end.

[0249] Determine whether the reflected signal is greater than a preset reflected signal threshold;

[0250] If the reflected signal is greater than the preset reflected signal threshold, it is determined that the target return line has been stolen.

[0251] In some embodiments, when a computer program is executed, it also performs the following steps:

[0252] Obtain the characteristic impedance parameters of the target return line, and determine the optimal center frequency of the transmitted signal of the target return line based on the characteristic impedance parameters;

[0253] The initial transmission signal of the target return line is determined based on the optimal center frequency;

[0254] The initial transmitted signal is amplified to obtain the transmitted signal at the preset transmitter end of the target return line.

[0255] In some embodiments, when a computer program is executed, it also performs the following steps:

[0256] Based on the return line structure parameters of the target return line, determine the characteristic impedance parameters of the target return line;

[0257] The input impedance of the target return line is determined based on the characteristic impedance parameters and the return line structure parameters.

[0258] By minimizing the imaginary part of the input impedance as the optimization objective, the objective function corresponding to the optimization objective is optimized and solved to obtain the optimal center frequency of the transmitted signal of the target return line.

[0259] In some embodiments, when a computer program is executed, it also performs the following steps:

[0260] Based on the optimal center frequency, a continuous spectral sine wave at the optimal center frequency is determined as the initial transmission signal of the target return line;

[0261] Gain processing is performed on the initial transmitted signal to obtain the transmitted signal at the preset transmitter end of the target return line, including:

[0262] The length of the pseudo-random sequence is determined based on the preset gain.

[0263] The initial transmitted signal is amplified by the pseudo-random sequence length and the pseudo-random coding sequence to obtain the transmitted signal of the preset transmitter end of the target return line.

[0264] In some embodiments, when a computer program is executed, it also performs the following steps:

[0265] Based on the received and transmitted signals within the expected arrival time window, the correlation between the received and transmitted signals is determined using the following formula; where the correlation is:

[0266]

[0267] In the formula, For relevance, The expected start time of the arrival time window. The expected arrival time window's end time. As the starting time point, For signal transmission delay time, For signal frequency, For a period of time, Tolerance clock, In order to receive signals, The signal transmission delay time The transmitted signal after, where t is time; where,

[0268]

[0269] In the formula, This is a noise signal.

[0270] In some embodiments, when a computer program is executed, it also performs the following steps:

[0271] The initial reflected signal corresponding to the transmitted signal is acquired at the preset transmitting end;

[0272] The initial reflected signal is filtered using a wide-pass filter transfer function to obtain the reflected signal; the reflected signal is:

[0273]

[0274] In the formula, For reflected signals, This is the initial reflected signal. Here, the wide-band filter transfer function is:

[0275]

[0276] In the formula, For signal frequency, The optimal center frequency for transmitting the signal. For bandwidth.

[0277] In some embodiments, when a computer program is executed, it also performs the following steps:

[0278] The reflection delay is obtained by calculating the inverse function based on the reflected signal;

[0279] The location of the stolen signal is determined based on the reflection delay and the propagation speed of the transmitted signal, at a distance from the preset transmitter.

[0280] This application embodiment periodically sends a preset transmission signal to a preset transmitter of the target return line and obtains the received signal at a preset receiver of the target return line within the expected arrival time window. The correlation between the received signal and the transmission signal is determined, and a first determination of whether the target return line has been stolen is made based on the correlation. When the correlation is determined to be less than a correlation threshold, the reflected signal corresponding to the transmission signal is collected at the preset transmitter. The reflected signal is used to determine whether the target return line has been stolen, thus making a second determination of whether the return line has been stolen. This accurately detects whether the cable return line has been stolen or temporarily interfered with, improving the accuracy and reliability of cable return line theft monitoring.

[0281] This application provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer performs the following steps:

[0282] Periodically send a preset transmission signal to the preset transmitter of the target return line, and acquire the received signal of the preset receiver of the target return line within the expected arrival time window;

[0283] Determine the correlation between the received and transmitted signals based on the expected arrival time window;

[0284] Determine whether the correlation degree is greater than the preset correlation degree threshold;

[0285] If the correlation is greater than the preset correlation threshold, it is determined that the target backflow line has not been stolen.

[0286] When the correlation degree is determined to be no greater than the preset correlation degree threshold, the reflected signal corresponding to the transmitted signal is collected at the preset transmitting end.

[0287] Determine whether the reflected signal is greater than a preset reflected signal threshold;

[0288] If the reflected signal is greater than the preset reflected signal threshold, it is determined that the target return line has been stolen.

[0289] In some embodiments, when the program instructions are executed by a computer, the computer further performs the following steps:

[0290] Obtain the characteristic impedance parameters of the target return line, and determine the optimal center frequency of the transmitted signal of the target return line based on the characteristic impedance parameters;

[0291] The initial transmission signal of the target return line is determined based on the optimal center frequency;

[0292] The initial transmitted signal is amplified to obtain the transmitted signal at the preset transmitter end of the target return line.

[0293] In some embodiments, when the program instructions are executed by a computer, the computer further performs the following steps:

[0294] Based on the return line structure parameters of the target return line, determine the characteristic impedance parameters of the target return line;

[0295] The input impedance of the target return line is determined based on the characteristic impedance parameters and the return line structure parameters.

[0296] By minimizing the imaginary part of the input impedance as the optimization objective, the objective function corresponding to the optimization objective is optimized and solved to obtain the optimal center frequency of the transmitted signal of the target return line.

[0297] In some embodiments, when the program instructions are executed by a computer, the computer further performs the following steps:

[0298] Based on the optimal center frequency, a continuous spectral sine wave at the optimal center frequency is determined as the initial transmission signal of the target return line;

[0299] Gain processing is performed on the initial transmitted signal to obtain the transmitted signal at the preset transmitter end of the target return line, including:

[0300] The length of the pseudo-random sequence is determined based on the preset gain.

[0301] The initial transmitted signal is amplified by the pseudo-random sequence length and the pseudo-random coding sequence to obtain the transmitted signal of the preset transmitter end of the target return line.

[0302] In some embodiments, when the program instructions are executed by a computer, the computer further performs the following steps:

[0303] Based on the received and transmitted signals within the expected arrival time window, the correlation between the received and transmitted signals is determined using the following formula; where the correlation is:

[0304]

[0305] In the formula, For relevance, The expected start time of the arrival time window. The expected arrival time window's end time. As the starting time point, For signal transmission delay time, For signal frequency, For a period of time, Tolerance clock, In order to receive signals, The signal transmission delay time The transmitted signal is given after time t; where,

[0306]

[0307] In the formula, This is a noise signal.

[0308] In some embodiments, when the program instructions are executed by a computer, the computer further performs the following steps:

[0309] The initial reflected signal corresponding to the transmitted signal is acquired at the preset transmitting end;

[0310] The initial reflected signal is filtered using a wide-pass filter transfer function to obtain the reflected signal; where the reflected signal is:

[0311]

[0312] In the formula, For reflected signals, This is the initial reflected signal. Here, the wide-band filter transfer function is:

[0313]

[0314] In the formula, For signal frequency, The optimal center frequency for transmitting the signal. For bandwidth.

[0315] In some embodiments, when the program instructions are executed by a computer, the computer further performs the following steps:

[0316] The reflection delay is obtained by calculating the inverse function based on the reflected signal;

[0317] The location of the stolen signal is determined based on the reflection delay and the propagation speed of the transmitted signal, at a distance from the preset transmitter.

[0318] This application embodiment periodically sends a preset transmission signal to a preset transmitter of the target return line and obtains the received signal at a preset receiver of the target return line within the expected arrival time window. The correlation between the received signal and the transmission signal is determined, and a first determination of whether the target return line has been stolen is made based on the correlation. When the correlation is determined to be less than a correlation threshold, the reflected signal corresponding to the transmission signal is collected at the preset transmitter. The reflected signal is used to determine whether the target return line has been stolen, thus making a second determination of whether the return line has been stolen. This accurately detects whether the cable return line has been stolen or temporarily interfered with, improving the accuracy and reliability of cable return line theft monitoring.

[0319] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, electronic devices, computer storage media, and computer program products described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0320] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0321] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0322] In the several embodiments provided by this invention, it should be understood that the disclosed systems, electronic devices, computer storage media, computer program products, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection between devices or units, and may be electrical, mechanical, or other forms.

[0323] The units described as separate components may or may not be physically separate. The components shown as units 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 units can be selected to achieve the purpose of this embodiment according to actual needs.

[0324] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0325] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for executing all or part of the steps of the methods described in the various embodiments of the present invention through a computer device (which may be a personal computer, a server, or a network device, etc.). The aforementioned storage medium includes: USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other media capable of storing program code.

[0326] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for detecting theft of cable return lines, characterized in that, include: A preset transmission signal is periodically sent to the preset transmitter of the target return line, and the received signal of the preset receiver of the target return line within the expected arrival time window is obtained. Based on the received signal and the transmitted signal within the expected arrival time window, determine the correlation between the received signal and the transmitted signal; Determine whether the correlation degree is greater than a preset correlation degree threshold; When the correlation degree is determined to be greater than the preset correlation degree threshold, it is determined that the target backflow line has not been stolen. When it is determined that the correlation degree is not greater than the preset correlation degree threshold, the reflected signal corresponding to the transmitted signal is collected at the preset transmitting end; Determine whether the reflected signal is greater than a preset reflected signal threshold; If the reflected signal is greater than the preset reflected signal threshold, then the target return line is determined to have been stolen.

2. The method for detecting cable return line theft according to claim 1, characterized in that, Also includes: Obtain the characteristic impedance parameters of the target return line, and determine the optimal center frequency of the transmitted signal of the target return line based on the characteristic impedance parameters; The initial transmission signal of the target return line is determined based on the optimal center frequency. The initial transmitted signal is subjected to gain processing to obtain the transmitted signal of the preset transmitting end of the target return line.

3. The method for detecting cable return line theft according to claim 2, characterized in that, The step of obtaining the characteristic impedance parameters of the target return line and determining the optimal center frequency of the transmitted signal of the target return line based on the characteristic impedance parameters includes: Based on the return line structure parameters of the target return line, determine the characteristic impedance parameters of the target return line; The input impedance of the target return line is determined based on the characteristic impedance parameters and the return line structure parameters. With minimizing the imaginary part of the input impedance as the optimization objective, the objective function corresponding to the optimization objective is optimized and solved to obtain the optimal center frequency of the transmitted signal of the target return line.

4. The method for detecting cable return line theft according to claim 2, characterized in that, Determining the initial transmission signal of the target return line based on the optimal center frequency includes: Based on the optimal center frequency, a continuous spectral sine wave at the optimal center frequency is determined as the initial transmission signal of the target return line; The step of performing gain processing on the initial transmitted signal to obtain the transmitted signal of the preset transmitting end of the target return line includes: The length of the pseudo-random sequence is determined based on the preset gain. The initial transmitted signal is amplified based on the pseudo-random sequence length and the pseudo-random coding sequence to obtain the transmitted signal of the preset transmitter end of the target return line.

5. The method for detecting cable return line theft according to claim 1, characterized in that, Determining the correlation between the received signal and the transmitted signal based on the received signal and the transmitted signal within the expected arrival time window includes: Based on the received signal and the transmitted signal within the expected arrival time window, the correlation between the received signal and the transmitted signal is determined by the following formula; wherein, the correlation is: In the formula, For relevance, The expected start time of the arrival time window. The expected arrival time window's end time. As the starting time point, For signal transmission delay time, For signal frequency, For a period of time, Tolerance clock, In order to receive signals, The signal transmission delay time The transmitted signal after, where t is time; where, In the formula, This is a noise signal.

6. The method for detecting cable return line theft according to any one of claims 1 to 5, characterized in that, The reflected signal corresponding to the transmitted signal is acquired at the preset transmitting end, including: The initial reflected signal corresponding to the transmitted signal is acquired at the preset transmitting end; The initial reflected signal is filtered using the wide filter transfer function to obtain the reflected signal; wherein the reflected signal is: In the formula, For reflected signals, This is the initial reflected signal. Here, the wide-band filter transfer function is: In the formula, For signal frequency, The optimal center frequency for transmitting the signal. For bandwidth.

7. The method for detecting cable return line theft according to claim 6, characterized in that, Also includes: The reflection delay is obtained by performing an inverse function calculation based on the reflected signal. The location of the stolen signal, at a distance from the preset transmitter, is determined based on the reflection delay and the propagation speed of the transmitted signal.

8. A cable return line theft monitoring system, characterized in that, include: The signal transmission module is used to periodically send a preset transmission signal to the preset transmitter of the target return line, and to acquire the received signal of the preset receiver of the target return line within the expected arrival time window. The signal correlation module is used to determine the correlation degree between the received signal and the transmitted signal based on the received signal and the transmitted signal within the expected arrival time window; The first judgment module is used to determine whether the correlation degree is greater than a preset correlation degree threshold; The first determination module is used to determine that the target backflow line has not been stolen when the correlation degree is greater than the preset correlation degree threshold. The second determination module is used to collect the reflected signal corresponding to the transmitted signal at the preset transmitting end when it is determined that the correlation degree is not greater than the preset correlation degree threshold. The second judgment module is used to determine whether the reflected signal is greater than a preset reflected signal threshold. The third determination module is used to determine that the target return line has been stolen when the reflected signal is greater than the preset reflected signal threshold.

9. An electronic device, characterized in that, The electronic device includes a memory and a processor. The memory stores a computer program, which, when executed by the processor, causes the processor to perform the steps of the cable return line theft monitoring method as described in any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed, it implements the steps of the cable return line theft monitoring method as described in any one of claims 1-7.

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