Highway construction management system

Abstract

The invention provides a highway construction management system, and relates to the technical field of geological detection, the system comprises a signal acquisition unit and an analysis unit, and the analysis unit is connected with the signal acquisition unit; the signal acquisition unit acquires a to-be-transmitted signal and a transmitted signal; wherein the to-be-transmitted signal generates a transmitting signal through the transmitting device, and the moment that the transmitting signal is transmitted from the transmitting device is the same as the to-be-transmitted signal; the analysis unit detects whether the to-be-transmitted signal and the transmitting signal are abnormal or not, when the to-be-transmitted signal is abnormal, the to-be-transmitted signal is prevented from being input into the transmitting equipment, and the to-be-transmitted signal is regenerated; and when the transmitting signal is abnormal, the transmitting device regenerates the transmitting signal based on the to-be-transmitted signal. When the to-be-transmitted signal is abnormal, the signal is prevented from entering a transmitting stage, and data errors caused by a bad signal source are reduced; and the quality of the transmitted signal is continuously monitored, and the sudden change influencing the data accuracy is identified, so that the transmission can be adjusted or interrupted in time, and the polluted data is prevented from being collected.

Description

Technical Field

[0001] The invention relates to the technical field of geological detection, and in particular to a highway construction management system. Background Art

[0002] Before highway construction, geological radar is usually used to detect underground objects and structures to avoid damaging underground structures during construction and posing safety hazards. Since geological radar is a device that detects targets and determines target information by emitting electromagnetic waves and receiving echoes, when the electromagnetic wave emission is abnormal, the target echo responding to the electromagnetic wave cannot detect the expected target, making it difficult for the geological radar to accurately detect underground facilities and obstacles, resulting in problems such as missed detection. Since various interference signals such as noise and clutter may exist in the transmission process of the target echo, the received echo may be abnormal. When the target echo is abnormal, the detection data extracted from the target echo is inaccurate and cannot be used as a basis for analysis, resulting in problems such as data missing when analyzing geology. Summary of the invention

[0003] The purpose of the present invention is to provide a highway construction management system, and the technical problem to be solved is how to improve the accuracy of detection data.

[0004] The present invention is achieved through the following technical solutions:

[0005] A highway construction management system comprises a signal acquisition unit and an analysis unit, wherein the analysis unit is connected to the signal acquisition unit;

[0006] The signal acquisition unit is used to collect the signal to be transmitted before the geological radar electromagnetic wave is transmitted and the transmission signal during the transmission process; wherein, the signal to be transmitted is generated into a transmission signal through the transmitting device, and the moment when the transmission signal is transmitted from the transmitting device is the same as the signal to be transmitted;

[0007] The above-mentioned analysis unit is used to detect whether the signal to be transmitted and the transmission signal are abnormal. When the above-mentioned signal to be transmitted is abnormal, the signal to be transmitted is prevented from entering the transmission device and the signal to be transmitted is regenerated; when the above-mentioned transmission signal is abnormal, the transmission device regenerates the transmission signal based on the signal to be transmitted.

[0008] Before the signal to be transmitted is input into the transmitting device, the system will first detect it. If an abnormality is found, such as incorrect signal strength, frequency offset or interference, the system will prevent these abnormal signals from entering the transmission stage, ensuring that only signals that meet the standards will be used to generate the actual transmission signal, thereby reducing data errors caused by poor signal sources; when the transmitting device is sending a signal, the analysis unit continuously monitors the quality of the transmission signal, so that the system can identify any sudden changes that may affect the accuracy of the data at the first time, such as increased environmental noise, equipment failure, etc. Real-time monitoring helps to adjust or interrupt the transmission in time, avoid collecting contaminated data, and improve the accuracy of the detection data; the collected contaminated data is marked to avoid entering the subsequent analysis process. If the analysis unit detects that there is a problem with the transmission signal, it can instruct the transmitting device to regenerate a new transmission signal based on the original signal to be transmitted, ensuring that even in the event of a temporary problem, it can quickly resume normal operation and improve detection efficiency.

[0009] Furthermore, the signal acquisition unit is also used to acquire an echo signal in response to the transmitted signal;

[0010] The above-mentioned analysis unit is also used to detect whether the echo signal is abnormal. When the corresponding above-mentioned signal to be transmitted, transmission signal and echo signal are normal, the detection data in the echo signal is extracted; when the above-mentioned signal to be transmitted is abnormal, the signal to be transmitted is regenerated; when the above-mentioned transmission signal is abnormal, the echo signal responding to the transmission signal is marked as an abnormal echo; when the above-mentioned echo signal is abnormal, the echo signal is marked as an echo to be corrected.

[0011] In addition to the signal to be transmitted before transmission and the transmitted signal during transmission, the system also collects the echo signal generated in response to the transmitted signal, which provides an additional layer of verification for the system's data analysis and ensures the integrity of the entire signal link (from transmission to reception). The system performs anomaly detection at three key points: the signal to be transmitted, the transmitted signal, and the echo signal. The multi-level monitoring strategy can detect and handle problems earlier and prevent erroneous data from entering the subsequent processing flow. Only when the signal to be transmitted, the transmitted signal, and the echo signal are confirmed to be normal will the system extract detection data from them. For any abnormal situation in any link, the system has corresponding processing measures, which not only reduces data distortion caused by problems that may occur during signal transmission, but also facilitates subsequent data analysis and troubleshooting by marking abnormal data.

[0012] Furthermore, the highway construction management system also includes an echo correction unit, which is connected to the analysis unit; the echo correction unit is used to correct the echo signal marked as the echo to be corrected to obtain a corrected echo signal, and input the corrected echo signal into the analysis unit;

[0013] The analysis unit is used to detect whether the corrected echo signal is abnormal, and when the corrected echo signal is normal, the detection data in the corrected echo signal is extracted.

[0014] The echo correction unit is responsible for processing signals marked as "echoes to be corrected", which may fail to meet the expected quality standards due to various reasons (such as environmental interference, equipment noise or abnormalities in the transmitted signal itself); the correction process may include but is not limited to: removing noise, correcting signal strength, adjusting phase difference and other technical means to restore the original signal characteristics as much as possible; the corrected echo signal is input into the analysis unit again for evaluation. If the signal meets the quality requirements at this time, valid detection data can be extracted from the corrected signal. The double check mechanism ensures that even the detection data with initial problems can be repaired and utilized, which helps to improve the integrity of the data finally acquired; it means that even if the initially collected data is not ideal in some cases, there is a chance to obtain accurate results through technical means, thereby improving the performance of the entire system.

[0015] Furthermore, when the analysis unit detects an abnormal processing signal, it counts the number of abnormalities of the processing signal to obtain a first abnormal number; wherein the processing signal is any one of a signal to be transmitted, a transmission signal and an echo signal;

[0016] When the above-mentioned processing signal is detected to be normal, the number of abnormalities of the processing signal is initialized; wherein the initial value of the number of abnormalities of the above-mentioned processing signal is 0;

[0017] When the number of the first abnormality exceeds a preset number, an equipment maintenance instruction is generated, and the radar equipment is repaired according to the equipment maintenance instruction.

[0018] Whenever the system detects that a processing signal has returned to normal, it resets the abnormality counter corresponding to the signal to 0, ensuring that only continuous problems will trigger further actions, and accidental errors will not lead to unnecessary reactions. The system presets a threshold for the number of abnormalities for each processing signal. Once the first number of abnormalities exceeds the preset number, the system automatically generates an equipment maintenance instruction, which can be used to notify technicians to conduct inspections, or automatically start certain diagnostic procedures to find the root cause of the problem. The combination of the abnormality counting mechanism and the equipment maintenance instructions enables the system to identify possible problems at an early stage and take appropriate measures to resolve them, effectively improving the reliability and stability of the system and reducing the risk of service interruptions due to equipment failures.

[0019] Furthermore, the step of the analysis unit for detecting whether the processed signal is abnormal includes:

[0020] Extracting time domain samples from the above processed signal to obtain a discrete time series; wherein the discrete time series is composed of a plurality of time domain samples;

[0021] Preprocess the above discrete time series;

[0022] Calculate the eigenvalues ​​of the above discrete time series;

[0023] A characteristic threshold is preset, and when the above characteristic value exceeds the characteristic threshold, the processing signal is determined to be abnormal.

[0024] The use of quantitative analysis methods makes the system's decision-making process more objective and consistent, reducing the possibility of false positives or negative negatives.

[0025] Furthermore, the above discrete time series is preprocessed, and the specific steps include:

[0026] Extracting a DC component from each time domain sample of the discrete time series, calculating an average value of the DC component, and obtaining a DC bias;

[0027] Remove the DC offset of each time domain sample in the above discrete time series;

[0028] The time domain samples after the DC offset is removed are input into a filter to filter out interference signals.

[0029] Remove the DC bias in each of the above time domain samples to eliminate the influence of the DC component, ensuring that subsequent analysis only focuses on the dynamically changing part of the signal without being affected by the fixed level. By removing the DC bias and filtering, the signal-to-noise ratio of the signal is improved, making the true signal characteristics more obvious, which is convenient for subsequent eigenvalue calculation and analysis.

[0030] Furthermore, the DC offset and the time domain samples after removing the DC offset are calculated using the following formula;

[0031]

[0032] in, Represents DC bias; x[i] represents the i+1th time domain sample of the discrete time series

[0033] The DC component in the discrete time series; x[n] represents the n+1th time domain sample after removing the DC offset in the discrete time series; N represents the total number of time domain samples; x'[n] represents the n+1th time domain sample in the discrete time series before preprocessing.

[0034] Furthermore, the above-mentioned eigenvalues ​​include mean, variance, peak factor and kurtosis;

[0035] The calculation formula for the above mean is as follows:

[0036]

[0037] Where μ represents the mean of the discrete time series;

[0038] The calculation formula for the above variance is as follows:

[0039]

[0040] Among them, σ 2 Represents the variance of a discrete time series;

[0041] The calculation formula of the above peak factor is as follows:

[0042]

[0043] Where PF represents the peak factor of the discrete time series;

[0044] The calculation formula of the above kurtosis is as follows:

[0045]

[0046] Where K represents the kurtosis of the discrete time series.

[0047] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0048] Before the signal to be transmitted is input into the transmitting device, the system will first detect it. If an abnormality is found, such as incorrect signal strength, frequency offset or interference, the system will prevent these abnormal signals from entering the transmission stage to ensure that only signals that meet the standards are used to generate the actual transmission signal, thereby reducing data errors caused by poor signal sources; when the transmitting device is sending a signal, the analysis unit continuously monitors the quality of the transmission signal, so that the system can identify any sudden changes that may affect the accuracy of the data at the first time, such as increased environmental noise, equipment failure, etc. Real-time monitoring helps to adjust or interrupt the transmission in time to avoid collecting contaminated data. If the analysis unit detects that there is a problem with the transmission signal, it can instruct the transmitting device to regenerate a new transmission signal based on the original signal to be transmitted, ensuring that normal operation can be quickly restored even when encountering temporary problems, thereby improving detection efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, other relevant drawings can be obtained based on these drawings without creative work. In the drawings:

[0050] Figure 1 This is the system block diagram.

[0051] Marks and corresponding parts names in the attached drawings:

[0052] 1. Signal acquisition unit; 2. Analysis unit; 3. Echo correction unit. DETAILED DESCRIPTION

[0053] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with embodiments and drawings. The exemplary embodiments of the present invention and their description are only used to explain the present invention and are not intended to limit the present invention.

[0054] First embodiment:

[0055] Combination Figure 1 , a highway construction management system, comprising a signal acquisition unit 1 and an analysis unit 2, wherein the analysis unit 2 is connected to the signal acquisition unit 1;

[0056] The signal acquisition unit 1 is used to collect the signal to be transmitted before the geological radar electromagnetic wave is transmitted and the transmission signal during the transmission process; wherein, the signal to be transmitted is generated into a transmission signal through a transmitting device, and the moment when the transmission signal is transmitted from the transmitting device is the same as the signal to be transmitted;

[0057] The above-mentioned analysis unit 2 is used to detect whether the signal to be transmitted and the transmission signal are abnormal. When the above-mentioned signal to be transmitted is abnormal, the signal to be transmitted is prevented from entering the transmission device and the signal to be transmitted is regenerated; when the above-mentioned transmission signal is abnormal, the transmission device regenerates the transmission signal based on the signal to be transmitted.

[0058] Before the signal to be transmitted is input into the transmitting device, the system will first detect it. If an abnormality is found, such as incorrect signal strength, frequency offset or interference, the system will prevent these abnormal signals from entering the transmission stage to ensure that only signals that meet the standards are used to generate actual transmission signals, thereby reducing data errors caused by poor signal sources; when the transmitting device is sending signals, the analysis unit 2 continuously monitors the quality of the transmission signal, so that the system can identify any sudden changes that may affect the accuracy of the data at the first time, such as increased environmental noise, equipment failure, etc. Real-time monitoring helps to adjust or interrupt the transmission in time to avoid collecting contaminated data. If the analysis unit 2 detects that there is a problem with the transmission signal, it can instruct the transmitting device to regenerate a new transmission signal based on the original signal to be transmitted, ensuring that even in the event of a temporary problem, normal operation can be quickly restored to improve detection efficiency.

[0059] In summary, the system improves the quality and credibility of the final detection data by strictly controlling the entire process of signal transmission (including the preparation stage and the execution stage) and quickly responding to and correcting potential errors.

[0060] In a specific embodiment, the signal acquisition unit 1 is also used to acquire an echo signal in response to the transmitted signal;

[0061] The above-mentioned analysis unit 2 is also used to detect whether the echo signal is abnormal. When the corresponding above-mentioned signal to be transmitted, transmission signal and echo signal are normal, the detection data in the echo signal is extracted; when the above-mentioned signal to be transmitted is abnormal, the signal to be transmitted is regenerated; when the above-mentioned transmission signal is abnormal, the echo signal responding to the transmission signal is marked as an abnormal echo, indicating that this part of the detection data is unreliable; when the above-mentioned echo signal is abnormal, the echo signal is marked as an echo to be corrected, and this part of the data needs to be reviewed or corrected.

[0062] The system establishes a complete feedback loop from signal generation to transmission and then to the receiving end. In addition to the signal to be transmitted before transmission and the transmitted signal during the transmission process, the system also collects the echo signal generated in response to the transmitted signal, which provides an additional layer of verification for the system's data analysis and ensures the integrity of the entire signal link (from transmission to reception). The system performs anomaly detection at three key points: the signal to be transmitted, the transmitted signal, and the echo signal. The multi-level monitoring strategy can detect and handle problems earlier and prevent erroneous data from entering the subsequent processing flow. Only when the signal to be transmitted, the transmitted signal, and the echo signal are confirmed to be normal will the system extract detection data from them. For any abnormal situation in any link, the system has corresponding processing measures, which not only reduces the data distortion caused by problems that may occur during the signal transmission process, but also facilitates subsequent data analysis and troubleshooting by marking abnormal data.

[0063] Second embodiment:

[0064] On the basis of the first embodiment, the highway construction management system further includes an echo correction unit 3, which is connected to the analysis unit 2; the echo correction unit 3 is used to correct the echo signal marked as the echo to be corrected, obtain a corrected echo signal, and input the corrected echo signal into the analysis unit 2;

[0065] The analysis unit 2 is used to detect whether the modified echo signal is abnormal, and when the modified echo signal is normal, the detection data in the modified echo signal is extracted.

[0066] The echo correction unit 3 is responsible for processing signals marked as "echoes to be corrected", which may fail to meet the expected quality standards due to various reasons (such as environmental interference, equipment noise or abnormalities in the transmitted signal itself); the correction process may include but is not limited to: removing noise, correcting signal strength, adjusting phase difference and other technical means to restore the original signal characteristics as much as possible; the corrected echo signal is input into the analysis unit 2 again for evaluation. If the signal meets the quality requirements at this time, valid detection data can be extracted from the corrected signal. The double check mechanism ensures that even the detection data with problems at the beginning can be repaired and used, which helps to improve the integrity of the data finally obtained; it means that even if the initially collected data is not ideal in some cases, there is a chance to obtain accurate results through technical means, thereby improving the performance of the entire system.

[0067] The introduction of the echo correction unit 3 enables the system to cope with complex field conditions more flexibly. For example, in bad weather or complex terrain, the signal may be more interfered, but the system can compensate for these adverse effects through automatic correction.

[0068] Third embodiment:

[0069] On the basis of any of the above embodiments, when the analysis unit 2 detects an abnormal processing signal, it counts the number of abnormalities of the processing signal to obtain a first abnormal number; wherein the processing signal is any one of a signal to be transmitted, a transmission signal and an echo signal;

[0070] When the above-mentioned processing signal is detected to be normal, the number of abnormalities of the processing signal is initialized; wherein the initial value of the number of abnormalities of the above-mentioned processing signal is 0;

[0071] When the number of the first abnormality exceeds a preset number, an equipment maintenance instruction is generated, and the radar equipment is repaired according to the equipment maintenance instruction.

[0072] The analysis unit 2 is responsible for monitoring the status of the signal to be transmitted, the transmitted signal and the echo signal, and counting each abnormality detected. For each processed signal (i.e. the signal to be transmitted, the transmitted signal or the echo signal), there is an independent abnormality counter.

[0073] Whenever the system detects that a processing signal has returned to normal, it resets the abnormality counter corresponding to the signal to 0, ensuring that only continuous problems will trigger further actions, and accidental errors will not lead to unnecessary reactions. The system presets a threshold for the number of abnormalities for each processing signal. Once the first number of abnormalities exceeds the preset number, the system automatically generates an equipment maintenance instruction, which can be used to notify technicians to conduct inspections, or automatically start certain diagnostic procedures to find the root cause of the problem. The combination of the abnormality counting mechanism and the equipment maintenance instructions enables the system to identify possible problems at an early stage and take appropriate measures to resolve them, effectively improving the reliability and stability of the system and reducing the risk of service interruptions due to equipment failures.

[0074] Recording the number of abnormalities and their changing trends can provide valuable information for long-term data analysis and help managers make data-driven decisions based on evidence. For example, the preset number threshold can be adjusted based on historical records to better adapt to the actual working environment.

[0075] Fourth embodiment:

[0076] Based on any of the above embodiments, the step of the analysis unit 2 for detecting whether the processed signal is abnormal includes:

[0077] Extracting time domain samples from the above processed signal to obtain a discrete time series (a sequence consisting of multiple discrete time points); wherein the discrete time series consists of multiple time domain samples, each of which represents the state of the signal at a specific moment;

[0078] The above discrete time series is preprocessed, the specific steps are as follows:

[0079] Extracting a DC component from each time domain sample of the discrete time series, calculating an average value of the DC component, and obtaining a DC bias;

[0080] Remove the DC offset of each time domain sample in the above discrete time series to eliminate the influence of the DC component, ensuring that subsequent analysis only focuses on the dynamically changing part of the signal without being affected by the fixed level;

[0081] Use the following formula to calculate the DC offset and the time domain samples after removing the DC offset;

[0082]

[0083] in, represents the DC bias; x[i] represents the DC component of the i+1th time domain sample in the discrete time series; x[n] represents the n+1th time domain sample in the discrete time series after removing the DC bias; N represents the total number of time domain samples; x'[n] represents the n+1th time domain sample in the discrete time series before preprocessing.

[0084] The time domain samples after removing the above DC offset are input into the filter to filter out the interference signal; by removing the DC offset and filtering, the signal-to-noise ratio of the signal is improved, making the real signal characteristics more obvious, which is convenient for subsequent eigenvalue calculation and analysis.

[0085] Calculate the eigenvalues ​​of the discrete time series, including mean, variance, peak factor and kurtosis;

[0086] The calculation formula for the above mean is as follows:

[0087]

[0088] Where μ represents the mean of the discrete time series;

[0089] The calculation formula for the above variance is as follows:

[0090]

[0091] Among them, σ 2 Represents the variance of a discrete time series;

[0092] The calculation formula of the above peak factor is as follows:

[0093]

[0094] Where PF represents the peak factor of the discrete time series;

[0095] The calculation formula of the above kurtosis is as follows:

[0096]

[0097] Where K represents the kurtosis of the discrete time series;

[0098] A feature threshold is preset for each feature, and when any of the above feature values ​​exceeds the feature threshold, the processing signal is determined to be abnormal.

[0099] The use of quantitative analysis methods makes the system's decision-making process more objective and consistent, reducing the possibility of false positives or false negatives. The eigenvalue-based approach allows the system to respond sensitively to different types of problems and can adapt to different application scenarios or environmental conditions by adjusting thresholds. Based on actual performance in operation, the selection of eigenvalues ​​and the setting of eigenvalue thresholds can be continuously updated and optimized, allowing the system to better respond to new types of problems or changes in work scenarios.

[0100] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A highway construction management system, characterized in that: It comprises a signal collection unit (1) and an analysis unit (2), wherein the analysis unit (2) is connected to the signal collection unit (1); The signal acquisition unit (1) is used to collect the signal to be transmitted before the geological radar electromagnetic wave is transmitted and the transmission signal during the transmission process; wherein the signal to be transmitted is generated into a transmission signal through a transmission device, and the moment when the transmission signal is transmitted from the transmission device is the same as the signal to be transmitted; The analysis unit (2) is used to detect whether the signal to be transmitted and the transmitted signal are abnormal. When the signal to be transmitted is abnormal, the signal to be transmitted is prevented from being input into the transmitting device and the signal to be transmitted is regenerated; when the transmitted signal is abnormal, the transmitting device regenerates the transmitted signal based on the signal to be transmitted.

2. The highway construction management system according to claim 1, characterized in that: The signal acquisition unit (1) is also used to acquire an echo signal in response to the transmitted signal; The analysis unit (2) is also used to detect whether the echo signal is abnormal, and when the corresponding to-be-transmitted signal, the transmission signal and the echo signal are all normal, to extract the detection data in the echo signal; When the signal to be transmitted is abnormal, the signal to be transmitted is regenerated; when the transmitted signal is abnormal, the echo signal responding to the transmitted signal is marked as an abnormal echo; when the echo signal is abnormal, the echo signal is marked as an echo to be corrected.

3. The highway construction management system according to claim 2, characterized in that: The highway construction management system further comprises an echo correction unit (3), which is connected to the analysis unit (2); the echo correction unit (3) is used to correct the echo signal marked as the echo to be corrected, obtain a corrected echo signal, and input the corrected echo signal into the analysis unit (2); The analysis unit (2) is used to detect whether the corrected echo signal is abnormal, and when the corrected echo signal is normal, to extract detection data from the corrected echo signal.

4. The highway construction management system according to claim 2, characterized in that: When the abnormal processing signal is detected, the analysis unit (2) counts the number of abnormalities of the processing signal to obtain a first number of abnormalities; wherein the processing signal is any one of a signal to be transmitted, a transmission signal and an echo signal; When a normal processing signal is detected, the number of abnormal times of the processing signal is initialized; wherein the initial value of the number of abnormal times of the processing signal is 0; When the first abnormality number exceeds a preset number, an equipment maintenance instruction is generated, and the radar equipment is repaired according to the equipment maintenance instruction.

5. The highway construction management system according to claim 1, characterized in that: The step of the analysis unit (2) for detecting whether the processed signal is abnormal comprises: Extracting time domain samples from the processed signal to obtain a discrete time series; wherein the discrete time series is composed of a plurality of time domain samples; Preprocessing the discrete time series; Calculating the eigenvalue of the discrete time series; A characteristic threshold is preset, and when the characteristic value exceeds the characteristic threshold, the processing signal is determined to be abnormal.

6. The highway construction management system according to claim 5, characterized in that: Preprocessing the discrete time series includes the following specific steps: Extracting a DC component from each time domain sample of the discrete time series, calculating an average value of the DC component, and obtaining a DC bias; removing a DC offset from each time domain sample in the discrete time series; The time domain samples after the DC offset is removed are input into a filter to filter out interference signals.

7. The highway construction management system according to claim 6, characterized in that: Use the following formula to calculate the DC offset and the time domain samples after removing the DC offset; in, represents the DC bias; x[i] represents the DC component of the i+1th time domain sample in the discrete time series; x[n] represents the n+1th time domain sample in the discrete time series after removing the DC bias; N represents the total number of time domain samples; x'[n] represents the n+1th time domain sample in the discrete time series before preprocessing.

8. The highway construction management system according to claim 5, characterized in that: The characteristic values ​​include mean, variance, peak factor and kurtosis; The calculation formula of the mean is as follows: Where μ represents the mean of the discrete time series; The calculation formula of the variance is as follows: Among them, σ 2 Represents the variance of a discrete time series; The calculation formula of the peak factor is as follows: Wherein, PF represents the peak factor of the discrete time series; the calculation formula of the kurtosis is as follows: Where K represents the kurtosis of the discrete time series.

Images