A channel lining device and method for water conservancy projects

Abstract

The present invention relates to the technical field of channel lining detection for water conservancy projects, and in particular to a channel lining device and method for water conservancy projects. The method obtains signal data of a channel lining area and the reception time of the signal data; obtains an abnormal reference degree according to the difference between adjacent signal data in a preset neighborhood of the signal data, the degree of change of the signal data, the size of the reception time, and the difference in the reception time of adjacent signal data, and then screens out suspected abnormal signal data; obtains a hollow reference degree according to the distribution and fluctuation of suspected abnormal signal data in a preset neighborhood of the suspected abnormal signal data, and the time interval of adjacent suspected abnormal signal data; obtains real abnormal signal data to determine the hollow area according to the hollow reference degree and the abnormal reference degree. The present invention obtains real abnormal signal data, and then accurately detects the hollow area in the channel lining area, thereby avoiding the situation where the uneven distribution of aggregates leads to inaccurate detection of the hollow area.

Description

Technical Field

[0001] The invention relates to the technical field of water conservancy project channel lining detection, and in particular to a channel lining device and method for water conservancy projects. Background Art

[0002] Channel lining in water conservancy projects refers to laying or installing a protective material on the inner wall and bottom of the channel to protect the channel from erosion, leakage and scour, extend the service life of the channel, improve the water conveyance capacity of the channel, reduce soil erosion, and maintain the stability of the channel. Because concrete materials have excellent durability and scour resistance, channel lining in water conservancy projects usually uses concrete materials. In the process of lining the channels of water conservancy projects with concrete materials, hollowing may occur inside the lining, affecting the durability and stability of the channel. In order to ensure the quality of the channel lining, it is necessary to accurately detect hollowing of the channel after concrete lining.

[0003] The existing method uses ultrasonic detection technology to identify whether there are hollows inside the channel lining. However, in actual situations, due to the uneven distribution of aggregate size in the concrete lining, when ultrasonic detection technology is used to identify hollows in the channel after concrete lining, the uneven distribution of aggregates may produce interference similar to the hollowing performance, resulting in the inability to accurately determine the hollow area in the channel lining, affecting the accurate treatment of the hollows. Summary of the invention

[0004] In order to solve the technical problem that the uneven distribution of aggregates in concrete lining may produce similar performance to hollowing, resulting in the inability to accurately determine the hollowing area in the channel lining, the purpose of the present invention is to provide a channel lining device and method for water conservancy projects, and the technical solutions adopted are as follows:

[0005] In a first aspect, an embodiment of the present invention provides a channel lining method for a water conservancy project, the method comprising the following steps:

[0006] Obtain signal data of the channel lining area and the receiving time of each signal data;

[0007] Obtaining an abnormal reference degree of each signal data according to the difference between adjacent signal data within a preset neighborhood of each signal data and the degree of change of the signal data, as well as the distribution of reception duration within the preset neighborhood and the difference between reception durations of adjacent signal data;

[0008] The suspected abnormal signal data are screened out based on the abnormal reference degree, and the hollow reference degree of each suspected abnormal signal data is obtained according to the distribution and fluctuation of the suspected abnormal signal data in a preset neighborhood of each suspected abnormal signal data and the fluctuation of the time interval of adjacent suspected abnormal signal data;

[0009] According to the hollowing reference degree and the abnormal reference degree of each suspected abnormal signal data, the real abnormal signal data is obtained to determine the hollowing area in the channel lining area.

[0010] Furthermore, the method for obtaining the abnormal reference degree is:

[0011] Obtaining the magnitude abnormality of each signal data according to the difference between adjacent signal data within a preset neighborhood of each signal data and the degree of change of the signal data;

[0012] According to the distribution of the reception time of each signal data in a preset neighborhood and the difference in the reception time of adjacent signal data, the abnormal degree of the time of each signal data is obtained;

[0013] According to the abnormal degree of size and the abnormal degree of duration of each signal data, the abnormal reference degree of each signal data is obtained; wherein the abnormal degree of size and the abnormal degree of duration are both positively correlated with the abnormal reference degree.

[0014] Furthermore, the method for obtaining the degree of size abnormality is:

[0015] For any two adjacent signal data within a preset neighborhood of any signal data, obtaining a difference between a previous signal data and a subsequent signal data of the two adjacent signal data as a first value;

[0016] When the first value is greater than or equal to the preset first value threshold, the first difference adjustment factor of the two adjacent signal data is set to 1;

[0017] When the first value is less than the preset first value threshold, the first difference adjustment factor of the two adjacent signal data is set to 0.1;

[0018] taking the product of the first difference adjustment factor of the two adjacent signal data and the absolute value of the first value as the difference reference value of the two adjacent signal data;

[0019] Taking the average of the difference reference values ​​of all two adjacent signal data in a preset neighborhood of the signal data as the overall difference value of the signal data;

[0020] The magnitude anomaly degree of the signal data is obtained according to the overall difference value of the signal data and the degree of change of the signal data within a preset neighborhood of the signal data; wherein the overall difference value and the degree of change of the signal data within the preset neighborhood are both positively correlated with the magnitude anomaly degree.

[0021] Furthermore, the method for obtaining the abnormal degree of duration is:

[0022] For any two adjacent signal data within a preset neighborhood of any signal data, obtaining a difference between the reception time lengths of the previous signal data and the next signal data in the two adjacent signal data as the second value;

[0023] When the second value is greater than or equal to the preset second value threshold, the second difference adjustment factor of the two adjacent signal data is set to 1;

[0024] When the second value is less than the preset second value threshold, the second difference adjustment factor of the two adjacent signal data is set to 0.1;

[0025] The product of the second difference adjustment factor of the two adjacent signal data and the absolute value of the second value is used as a reference value of the time difference between the two adjacent signal data;

[0026] The average of the duration difference reference values ​​of all two adjacent signal data in a preset neighborhood of the signal data is used as the overall duration difference value of the signal data;

[0027] The receiving time that appears most frequently among all the receiving time of the signal data is used as the reference receiving time;

[0028] Acquire the number of reception durations greater than the reference reception duration in a preset neighborhood of the signal data as a second number;

[0029] The duration anomaly degree of the signal data is obtained according to the overall duration difference value and the second quantity; wherein the overall duration difference value and the second quantity are both positively correlated with the duration anomaly degree.

[0030] Furthermore, the method for acquiring the suspected abnormal signal data is:

[0031] When the abnormal reference degree meets the preset abnormal reference degree range, the corresponding signal data is suspected abnormal signal data.

[0032] Furthermore, the method for obtaining the hollowing reference degree is:

[0033] For any suspected abnormal signal data, obtaining the number of suspected abnormal signal data within a preset neighborhood of the suspected abnormal signal data as a first number;

[0034] Obtain the duration between any two adjacent suspected abnormal signal data corresponding to the instants in the preset neighborhood of the suspected abnormal signal data, and use them as the first duration;

[0035] According to the fluctuation of the first quantity, the first time length, and the variance of all suspected abnormal signal data within a preset neighborhood of the suspected abnormal signal data, the hollowing reference degree of the suspected abnormal signal data is obtained; wherein the first quantity is positively correlated with the hollowing reference degree, and the fluctuation of the first time length and the variance of all suspected abnormal signal data within the preset neighborhood are negatively correlated with the hollowing reference degree.

[0036] Furthermore, the method for acquiring the real abnormal signal data is:

[0037] According to the hollowing reference degree and the abnormal reference degree of each suspected abnormal signal data, the hollowing true degree of each suspected abnormal signal data is obtained; wherein the hollowing reference degree and the abnormal reference degree are both positively correlated with the hollowing true degree;

[0038] When the true degree of hollowing meets the preset true degree range of hollowing, the corresponding suspected abnormal signal data is the true abnormal signal data.

[0039] Furthermore, the method for obtaining the hollow area is:

[0040] The area corresponding to the real abnormal signal data is regarded as the hollow area in the channel lining area.

[0041] Furthermore, the method for obtaining the signal data of the channel lining area and the reception duration of each signal data is:

[0042] Move the ultrasonic detection device on the surface of the channel lining area in the direction of the channel lining to obtain signal data of each preset area in the channel lining area; wherein the ultrasonic detection device obtains signal data of one preset area each time it moves, and one preset area corresponds to one signal data;

[0043] For any signal data, the duration from the time when the ultrasonic signal corresponding to the signal data is emitted to the time when the signal data is received is obtained as the reception duration of the signal data.

[0044] In a second aspect, another embodiment of the present invention provides a channel lining device for a water conservancy project, the device comprising:

[0045] An acquisition module is used to acquire signal data of the channel lining area and the receiving time of each signal data;

[0046] An abnormal reference degree acquisition module, used to acquire the abnormal reference degree of each signal data according to the difference between adjacent signal data in a preset neighborhood of each signal data and the degree of change of the signal data, as well as the distribution of reception time in the preset neighborhood and the difference between reception time of adjacent signal data;

[0047] A hollowing reference degree acquisition module is used to screen out suspected abnormal signal data based on the abnormal reference degree, and acquire the hollowing reference degree of each suspected abnormal signal data according to the distribution and fluctuation of the suspected abnormal signal data in a preset neighborhood of each suspected abnormal signal data, and the fluctuation of the time interval of adjacent suspected abnormal signal data;

[0048] The hollow area acquisition module is used to obtain the real abnormal signal data according to the hollow reference degree and abnormal reference degree of each suspected abnormal signal data, and determine the hollow area in the channel lining area.

[0049] The present invention has the following beneficial effects:

[0050] The present invention first obtains the abnormal reference degree of each signal data according to the difference of adjacent signal data in a preset neighborhood of each signal data and the degree of change of the signal data, as well as the distribution of the reception time in the preset neighborhood and the difference of the reception time of adjacent signal data, so as to accurately reflect the possibility of abnormality of each signal data; then, based on the abnormal reference degree, the suspected abnormal signal data is screened out, and the signal data that may correspond to the hollow area is determined; in order to avoid the interference effect caused by the uneven distribution of aggregates in the concrete lining that is similar to the performance of the hollow area, which leads to the situation that the hollow area cannot be accurately detected according to the suspected abnormal signal data, then according to each suspected abnormal signal data, the abnormal reference degree is screened out, and the signal data that may correspond to the hollow area is determined. The distribution and fluctuation of suspected abnormal signal data in a preset neighborhood of the signal data, as well as the fluctuation of the time interval of adjacent suspected abnormal signal data, are used to obtain the hollowing reference degree of each suspected abnormal signal data, accurately reflecting the possibility that the area corresponding to each suspected abnormal signal data is a hollowing area; in order to accurately determine the hollowing area, the real abnormal signal data is obtained according to the hollowing reference degree and abnormal reference degree of each suspected abnormal signal data, and the signal data corresponding to the hollowing area is accurately determined; the hollowing area in the channel lining area is accurately determined based on the real abnormal signal data, and the hollowing area is processed to ensure that the quality of the channel lining meets the standards. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0052] Figure 1 A structural diagram of a channel lining device for a water conservancy project provided by one embodiment of the present invention;

[0053] Figure 2A schematic flow chart of a channel lining method for a water conservancy project provided by one embodiment of the present invention;

[0054] Figure 3 A flow chart of a method for obtaining an abnormal reference degree provided by an embodiment of the present invention;

[0055] Figure 4 A flow chart of a method for obtaining a hollow area provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0056] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of a channel lining device and method for a water conservancy project proposed by the present invention, its specific implementation, structure, features and effects, in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0057] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0058] Embodiment 1:

[0059] It is known that concrete is used to line channels in water conservancy projects. In order to ensure that the channel lining is qualified, it is necessary to perform hollow detection on the channels after concrete lining to avoid the adverse effects of hollowing on the channels. In order to perform hollow detection on the channel lining area, this embodiment proposes a channel lining device for water conservancy projects, in which an ultrasonic detection device is set, wherein the ultrasonic detection device is fixed on the surface of the channel lining area, and the ultrasonic detection device includes an ultrasonic sensor and a receiver. The ultrasonic detection device is moved on the surface of the channel lining area, and the movement of the ultrasonic detection device can be controlled by manual operation or a professional detection vehicle. Among them, the moving direction of the ultrasonic detection device is consistent with the direction of the channel lining. If the channel lining direction is from top to bottom and from left to right, the moving direction of the ultrasonic detection device on the surface of the channel lining area is from top to bottom and from left to right. Among them, the purpose of the movement is to ensure that the ultrasonic detection device scans the entire channel lining area to avoid missing detection of hollow areas in the channel lining area.

[0060] See also Figure 1 , which shows a structural diagram of a channel lining device for a water conservancy project provided in this embodiment, the device includes: an acquisition module 10, an abnormal reference degree acquisition module 20, a hollowing reference degree acquisition module 30 and a hollowing area acquisition module 40.

[0061] The acquisition module 10 is used to acquire the signal data of the channel lining area and the receiving time of each signal data.

[0062] The abnormal reference degree acquisition module 20 is used to obtain the abnormal reference degree of each signal data according to the difference between adjacent signal data in a preset neighborhood of each signal data and the degree of change of the signal data, as well as the distribution of the reception time in the preset neighborhood and the difference in the reception time of adjacent signal data.

[0063] The hollowing reference degree acquisition module 30 is used to screen out suspected abnormal signal data based on the abnormal reference degree, and obtain the hollowing reference degree of each suspected abnormal signal data according to the distribution and fluctuation of the suspected abnormal signal data in a preset neighborhood of each suspected abnormal signal data, and the fluctuation of the time interval between adjacent suspected abnormal signal data.

[0064] The hollow area acquisition module 40 is used to acquire the real abnormal signal data according to the hollow reference degree and the abnormal reference degree of each suspected abnormal signal data, and determine the hollow area in the channel lining area.

[0065] It should be noted that: the device provided in the above embodiment is only illustrated by the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the computer device is divided into different functional modules to complete all or part of the functions described above. In addition, the channel lining device for water conservancy projects provided in the above embodiment and the channel lining method for water conservancy projects belong to the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0066] Embodiment 2:

[0067] This embodiment proposes a channel lining method for water conservancy projects. Figure 2 , which shows a schematic flow chart of a channel lining method for a water conservancy project provided by an embodiment of the present invention, the method comprising the following steps:

[0068] Step S1: Acquire signal data of the channel lining area and the reception duration of each signal data.

[0069] Specifically, in order to obtain the hollow area in the channel lining area, this embodiment sets the preset area for each scan of the ultrasonic detection device to , the implementer can set the size of the preset area according to the actual situation, and it is not limited here. It should be noted that the area of ​​the preset area must not exceed 5 square centimeters. During the movement of the ultrasonic detection device, the signal data of each preset area is continuously collected in sequence according to the moving direction, wherein the ultrasonic detection device obtains the signal data of a preset area each time it moves, and one preset area corresponds to one signal data. At the same time, for any signal data, the time from the moment when the ultrasonic signal corresponding to the signal data is emitted to the moment when the ultrasonic detection device receives the signal data is obtained as the reception time of the signal data. Among them, the moment when the ultrasonic detection device receives the signal data is the moment corresponding to the signal data.

[0070] It is known that the hollow area is usually filled with air or gas, and the propagation speed of ultrasonic signals in gas is lower than that in concrete solids. Therefore, the reception time of the signal data corresponding to the hollow area is relatively long. At the same time, the air or gas in the hollow area has a strong absorption capacity for ultrasonic signals. Therefore, the signal data corresponding to the hollow area will be significantly attenuated. Therefore, this embodiment obtains the signal data of the channel lining area and the reception time of each signal data to detect the hollow area in the channel lining area.

[0071] Step S2: Obtain the abnormal reference degree of each signal data according to the difference between adjacent signal data within a preset neighborhood of each signal data and the degree of change of the signal data, as well as the distribution of reception duration within the preset neighborhood and the difference in reception duration of adjacent signal data.

[0072] Specifically, in order to accurately analyze the hollow area in the channel lining area, this embodiment analyzes the local signal data of each signal data. When the degree of change of the local signal data of a certain signal data is greater and the degree of change of the receiving time of the local signal data is also greater, the possibility of abnormality in the signal data is greater, and then this embodiment first constructs a preset neighborhood for each signal data. Among them, the method for obtaining the preset neighborhood is: for any signal data, taking the signal data as the center, the 10 signal data before and after it are all used as the neighborhood signal data of the signal data, and the area formed by the signal data and the neighborhood signal data of the signal data is used as the preset neighborhood of the signal data. For example, taking the i-th signal data as an example, the area formed by the i-10th signal data to the i+10th signal data is used as the preset neighborhood of the i-th signal data. The implementer can set the size of the preset neighborhood according to the actual situation, which is not limited here. It should be noted that for any boundary signal data, the number of neighboring signal data before or after it may be less than 10. In this case, only the neighboring signal data where the boundary signal data exists and the boundary signal data are constructed as the preset neighborhood of the boundary signal data.

[0073] During the channel lining process, hollowing may occur inside the channel lining, wherein the distribution of hollowing in the channel lining area is random and occupies a small part, wherein the hollowing area must be larger than the preset area. In order to accurately analyze the hollowing area, the present embodiment analyzes each signal data. For the signal data corresponding to the normal area in the channel lining area, the signal data in its preset neighborhood is relatively stable, and the receiving time of the signal data is relatively similar. When the ultrasonic signal emitted by the ultrasonic detection device passes through the hollowing area, the corresponding signal data will be significantly attenuated, and at the same time, the receiving time of the corresponding signal data will be significantly increased. The signal data in the preset neighborhood of the signal data corresponding to the hollowing area will change greatly, and the receiving time of the signal data in the preset neighborhood will also change greatly, because the propagation speed of ultrasonic waves in dense concrete is relatively fast and almost not absorbed, and the propagation speed of ultrasonic waves in the air of hollowing is relatively slow and absorbed in large quantities, therefore, the signal data corresponding to the hollowing area will be significantly attenuated, and the receiving time of the signal data corresponding to the hollowing area will be significantly increased. Furthermore, this embodiment obtains the abnormal reference degree of each signal data according to the difference between adjacent signal data in the preset neighborhood of each signal data and the degree of change of the signal data, as well as the distribution of the reception duration in the preset neighborhood and the difference in the reception duration of adjacent signal data. The greater the abnormal reference degree, the more likely the preset area corresponding to the corresponding signal data is a hollow drum area.

[0074] Preferably, in one possible implementation of this embodiment, the method for obtaining the abnormal reference degree is as follows: Figure 3 , which shows a flow chart of a method for obtaining an abnormal reference degree provided by this embodiment, the method comprising the following steps:

[0075] Step S301: Obtain the magnitude abnormality degree of each signal data according to the difference between adjacent signal data within a preset neighborhood of each signal data and the degree of change of the signal data.

[0076] When the change of signal data in the preset neighborhood of a certain signal data is more obvious, the degree of abnormality of the signal data is greater. In this embodiment, in order to accurately represent the change of signal data in the preset neighborhood of each signal data, and then accurately analyze the abnormality of each signal data, this embodiment obtains the magnitude abnormality of each signal data according to the difference of adjacent signal data in the preset neighborhood of each signal data and the degree of change of the signal data. The greater the magnitude abnormality, the more likely the corresponding information data is abnormal.

[0077] Preferably, in a manner that can be implemented in this embodiment, the method for obtaining the degree of size abnormality is: for any two adjacent signal data within a preset neighborhood of any signal data, obtain the difference between the previous signal data and the next signal data in the two adjacent signal data as the first value; when the first value is greater than or equal to the preset first value threshold, set the first difference adjustment factor of the two adjacent signal data to 1; when the first value is less than the preset first value threshold, set the first difference adjustment factor of the two adjacent signal data to 0.1; this embodiment sets the preset first value threshold to 5, and the implementer can set the size of the preset first value threshold according to actual conditions, which is not limited here. The purpose of setting the first difference adjustment factor in this embodiment is to amplify the degree of attenuation of the information data, and then use the product of the first difference adjustment factor of the two adjacent signal data and the absolute value of the first value as the difference reference value of the two adjacent signal data; the larger the difference reference value, the larger the difference between the two adjacent signal data, which indirectly indicates that the signal data is more likely to be abnormal. In order to comprehensively show the difference between the adjacent information data within the preset neighborhood of the signal data, the average of the difference reference values ​​of all two adjacent signal data within the preset neighborhood of the signal data is used as the overall difference value of the signal data; the larger the overall difference value, the more unstable the signal data within the preset neighborhood of the signal data, and the greater the possibility of abnormality in the signal data; in order to further analyze the change of the signal data within the preset neighborhood of the signal data, the absolute value of the difference between the maximum information data and the minimum signal data within the preset neighborhood of the signal data is obtained to represent the degree of change of the signal data within the preset neighborhood of the signal data. When the degree of change of the signal data within the preset neighborhood of the signal data is greater, the possibility of abnormality in the signal data is greater. Therefore, this embodiment obtains the degree of size abnormality of the signal data based on the overall difference value of the signal data and the degree of change of the signal data within a preset neighborhood of the signal data; wherein the overall difference value and the degree of change of the signal data within the preset neighborhood are both positively correlated with the degree of size abnormality.

[0078] In order to accurately indicate the possibility of abnormality in each signal data, this embodiment specifically quantifies the degree of abnormality as a value of abnormality. The larger the value of abnormality, the more likely the corresponding signal data is abnormal. The calculation formula of the abnormality value is: ; In the formula, is the abnormality value of the size of the i-th signal data; is the number of signal data within the preset neighborhood of the i-th signal data; is a first difference adjustment factor between the cth signal data and the c+1th signal data within a preset neighborhood of the ith signal data; is the cth signal data within the preset neighborhood of the ith signal data; is the c+1th signal data within the preset neighborhood of the ith signal data; is the minimum signal data within the preset neighborhood of the i-th signal data; is the maximum signal data within the preset neighborhood of the i-th signal data; is the absolute value function; is the first value; is a reference value of the difference between the cth signal data and the c+1th signal data within a preset neighborhood of the ith signal data; is the overall difference value of the i-th signal data.

[0079] At this point, the magnitude abnormality value of each signal data is obtained.

[0080] Step S302: Obtain the abnormality degree of the duration of each signal data according to the distribution of the reception duration within a preset neighborhood of each signal data and the difference in the reception duration of adjacent signal data.

[0081] When the reception duration of signal data in a preset neighborhood of a certain signal data is unstable, and the larger the reception duration, the more likely it is that the signal data is abnormal, and then this embodiment obtains the abnormal degree of the duration of each signal data according to the distribution of the reception duration in the preset neighborhood of each signal data and the difference in the reception duration of adjacent signal data. The greater the abnormal degree of the duration, the more likely the corresponding signal data is abnormal.

[0082] Preferably, in a method that can be implemented in this embodiment, the method for obtaining the degree of duration abnormality is: for any two adjacent signal data within a preset neighborhood of any signal data, obtain the difference in receiving duration between the previous signal data and the next signal data of the two adjacent signal data as the second value; when the second value is greater than or equal to the preset second value threshold, set the second difference adjustment factor of the two adjacent signal data to 1; when the second value is less than the preset second value threshold, set the second difference adjustment factor of the two adjacent signal data to 0.1; this embodiment sets the preset second value threshold to 3 seconds, and the implementer can set the size of the preset second value threshold according to actual conditions, which is not limited here. The purpose of setting the second difference adjustment factor in this embodiment is to amplify the degree of attenuation of the reception duration, and then use the product of the second difference adjustment factor of the two adjacent signal data and the absolute value of the second value as the duration difference reference value of the two adjacent signal data; the larger the duration difference reference value, the larger the difference in the reception duration of the two adjacent signal data, which indirectly reflects that the signal data is more likely to be abnormal. In order to overall represent the instability of the reception duration within the preset neighborhood of the signal data, the average of the duration difference reference values ​​of all two adjacent signal data within the preset neighborhood of the signal data is obtained as the overall duration difference value of the signal data; the larger the overall duration difference value, the more unstable the reception duration of the signal data within the preset neighborhood of the signal data, and the greater the possibility of abnormality of the signal data;

[0083] In order to further analyze whether the signal data is abnormal, the reception time that appears most frequently among all the reception time of the signal data is used as the reference reception time; wherein, the reference reception time must be the reception time of the signal data corresponding to the normal area in the channel lining area, because the preset area corresponding to the normal area in the channel lining area accounts for the majority. Then, the number of reception time in the preset neighborhood of the signal data that is greater than the reference reception time is obtained as the second number; the larger the second number, the more abnormal reception time in the preset neighborhood of the signal data, which indirectly reflects that the signal data is more likely to be abnormal;

[0084] Then, according to the overall duration difference value and the second quantity of the signal data, the duration abnormality degree of the signal data is obtained; wherein, the overall duration difference value and the second quantity are both positively correlated with the duration abnormality degree.

[0085] In order to accurately indicate the degree of abnormality of the reception duration of the signal data, and further accurately infer the degree of abnormality of the signal data, this embodiment specifically quantifies the duration abnormality as a duration abnormality value. The larger the duration abnormality value, the more unstable the reception duration of the signal data in the preset neighborhood of the corresponding signal data, which indirectly indicates that the corresponding signal data is more likely to be abnormal. The calculation formula of the duration abnormality value is: ; In the formula, is the abnormal degree value of the duration of the i-th signal data; is the number of signal data within the preset neighborhood of the i-th signal data; is a second difference adjustment factor between the cth signal data and the c+1th signal data within a preset neighborhood of the ith signal data; is the reception time of the cth signal data in the preset neighborhood of the ith signal data; is the reception time of the c+1th signal data in the preset neighborhood of the ith signal data; is a second quantity within a preset neighborhood of the i-th signal data; is the second value; is a reference value of the time difference between the cth signal data and the c+1th signal data within the preset neighborhood of the ith signal data; is the overall duration difference value of the i-th signal data.

[0086] At this point, the duration abnormality value of each signal data is obtained.

[0087] Step S303: Obtain an abnormal reference degree for each signal data according to the abnormal degree of size and the abnormal degree of duration of each signal data; wherein both the abnormal degree of size and the abnormal degree of duration are positively correlated with the abnormal reference degree.

[0088] It is known that the greater the size abnormality, the greater the abnormality of the corresponding signal data; the greater the duration abnormality, the greater the abnormality of the corresponding signal data, and thus this embodiment obtains the abnormal reference degree of each signal data according to the size abnormality and duration abnormality of each signal data; wherein the size abnormality and duration abnormality are both positively correlated with the abnormal reference degree. The greater the abnormal reference degree, the more abnormal the corresponding signal data, and the more likely the preset area corresponding to the corresponding signal data is a hollow drum area.

[0089] In order to accurately indicate the abnormality of each signal data, this embodiment specifically quantifies the abnormal reference degree into an abnormal reference degree value. The larger the abnormal reference degree value, the more likely the preset area corresponding to the corresponding signal data is a hollow area. The calculation formula of the abnormal reference degree value is: ; In the formula, is the abnormal reference value of the i-th signal data; is the abnormality value of the size of the i-th signal data; is the abnormality value of the duration of the i-th signal data; norm is the normalization function. In other embodiments, Get , which is not limited here.

[0090] At this point, the abnormality reference level value of each signal data is obtained.

[0091] Step S3: Filter out suspected abnormal signal data based on the abnormal reference degree, and obtain the hollow reference degree of each suspected abnormal signal data according to the distribution and fluctuation of the suspected abnormal signal data in a preset neighborhood of each suspected abnormal signal data, and the fluctuation of the time interval between adjacent suspected abnormal signal data.

[0092] Specifically, it is known that the greater the abnormal reference degree, the more abnormal the corresponding signal data is, and the more likely the preset area corresponding to the corresponding signal data is a hollow area. In order to improve the efficiency of detecting the hollow area, this embodiment first screens out the suspected abnormal signal data based on the abnormal reference degree, and then analyzes the suspected abnormal signal data to determine the possibility that the preset area corresponding to each suspected abnormal signal data is a hollow area. In actual situations, the uneven distribution of aggregate size in the channel concrete lining will cause different refractions or scatterings during ultrasonic propagation, affecting the intensity of the signal data and causing the signal data to attenuate. In particular, larger aggregates or irregular aggregates will interfere with the propagation path of ultrasonic waves, resulting in the generation of suspected abnormal signal data similar to the signal data corresponding to the hollow area. Therefore, it can be inferred that not all preset areas corresponding to the suspected abnormal signal data are hollow areas.

[0093] It is known that the impact of aggregates in the concrete lining is very small in the channel lining area, and the abnormal change in the ultrasonic signal lasts for a short time and presents intermittent abnormal mutations; the truly abnormal hollowing area is a larger area, and the abnormal change in the ultrasonic signal lasts for a long time and is concentrated; furthermore, this embodiment analyzes the distribution of suspected abnormal signal data in a preset neighborhood of each suspected abnormal signal data;

[0094] When there are more suspected abnormal signal data in the preset neighborhood of a suspected abnormal signal data, it means that the suspected abnormal signal data is less likely to be caused by uneven distribution of aggregates, because the impact area caused by uneven distribution of aggregates is very small, and the corresponding suspected abnormal signal data is less, which indirectly indicates that the preset area corresponding to the suspected abnormal signal data is more likely to be a hollow area;

[0095] When the fluctuation of the suspected abnormal signal data in the preset neighborhood of a certain suspected abnormal signal data is smaller, it means that the preset area corresponding to the suspected abnormal signal data is more likely to be a hollow area, because the suspected abnormal signal data corresponding to the hollow area are similar, and the suspected abnormal signal data generated by uneven aggregates are random and have a large degree of fluctuation;

[0096] When the fluctuation degree of the time intervals of adjacent suspected abnormal signal data in the preset neighborhood of a certain suspected abnormal signal data is smaller, the area corresponding to the suspected abnormal signal data is more likely to be a hollow area, because the abnormal changes in the hollow area in the ultrasonic signal last for a long time and are concentrated, and the impact of the uneven distribution of aggregates in the ultrasonic signal lasts for a short time and presents intermittent abnormal mutations. Therefore, the time intervals of adjacent suspected abnormal signal data in the preset neighborhood of the suspected abnormal signal data corresponding to the hollow area are more similar;

[0097] Furthermore, this embodiment obtains the hollowing reference degree of each suspected abnormal signal data according to the distribution and fluctuation of the suspected abnormal signal data in the preset neighborhood of each suspected abnormal signal data, and the fluctuation of the time interval of adjacent suspected abnormal signal data. The greater the hollowing reference degree, the more likely the corresponding suspected abnormal signal data is the real abnormal signal data corresponding to the hollowing area.

[0098] Preferably, in a manner that can be implemented in this embodiment, the method for obtaining suspected abnormal signal data is: when the abnormal reference degree value is greater than the preset abnormal reference degree threshold, the corresponding signal data is suspected abnormal signal data. In this embodiment, the preset abnormal reference degree threshold is set to 0.7, and the implementer can set the value of the preset abnormal reference degree threshold according to the actual situation, which is not limited here.

[0099] Preferably, in a manner that can be implemented in this embodiment, the method for obtaining the hollowing reference degree is: for any suspected abnormal signal data, the number of suspected abnormal signal data in a preset neighborhood of the suspected abnormal signal data is obtained as a first number; the larger the first number is, the more likely the suspected abnormal signal data is the signal data corresponding to the hollowing area; in order to further analyze the possibility that the suspected abnormal signal data is the signal data corresponding to the hollowing area, the present embodiment obtains the time length between the corresponding moments of any two adjacent suspected abnormal signal data in the preset neighborhood of the suspected abnormal signal data as the first time length; when all the first time lengths in the preset neighborhood of the suspected abnormal signal data are more equal, it means that the preset area corresponding to the suspected abnormal signal data is more likely to be a hollowing area; at the same time, when all the suspected abnormal signal data in the preset neighborhood of the suspected abnormal signal data are more similar, the preset area corresponding to the suspected abnormal signal data is more likely to be a hollowing area;

[0100] Furthermore, this embodiment obtains the hollowing reference degree of the suspected abnormal signal data based on the first quantity, the fluctuation of the first time length, and the variance of all suspected abnormal signal data within a preset neighborhood of the suspected abnormal signal data; wherein the first quantity is positively correlated with the hollowing reference degree, and the fluctuation of the first time length and the variance of all suspected abnormal signal data within the preset neighborhood are negatively correlated with the hollowing reference degree.

[0101] In order to accurately indicate the possibility that the area corresponding to each suspected abnormal signal data is a hollow area, this embodiment specifically quantifies the hollow reference degree as a hollow reference degree value. The larger the hollow reference degree value, the more likely the corresponding suspected abnormal signal data is the real abnormal signal data corresponding to the hollow area. The calculation formula of the hollow reference degree value is: ; In the formula, is the hollowing reference degree value of the u-th suspected abnormal signal data; is the first number in the preset neighborhood of the u-th suspected abnormal signal data; is the total number of the first duration in the preset neighborhood of the u-th suspected abnormal signal data; is the nth first duration in the preset neighborhood of the uth suspected abnormal signal data; is the mean of all first durations in the preset neighborhood of the u-th suspected abnormal signal data; is the variance of all suspected abnormal signal data within the preset neighborhood of the u-th suspected abnormal signal data; is the first preset constant, greater than 0; is the absolute value function.

[0102] This embodiment will Set to 1 to avoid the denominator being 0. Implementers can set it according to actual conditions. The size of is not limited here.

[0103] At this point, the hollowing reference degree value of each suspected abnormal signal data is obtained.

[0104] Step S4: According to the hollowing reference degree and the abnormal reference degree of each suspected abnormal signal data, the real abnormal signal data is obtained to determine the hollowing area in the channel lining area.

[0105] Specifically, it is known that the greater the hollowing reference degree and the greater the abnormal reference degree, the more likely the corresponding suspected abnormal signal data is the real abnormal signal data corresponding to the hollowing area. Therefore, this embodiment obtains the real abnormal signal data according to the hollowing reference degree and the abnormal reference degree of each suspected abnormal signal data, and determines the hollowing area in the channel lining area.

[0106] Preferably, in one possible implementation of this embodiment, the method for obtaining the hollow area can be found in Figure 4 , which shows a flow chart of a method for obtaining a hollow drum area provided in this embodiment, the method comprising the following steps:

[0107] Step S401: Acquire real abnormal signal data.

[0108] In order to accurately determine the hollowing area, this embodiment obtains the true degree of hollowing of each suspected abnormal signal data based on the hollowing reference degree and the abnormal reference degree of each suspected abnormal signal data; wherein the hollowing reference degree and the abnormal reference degree are both positively correlated with the true degree of hollowing; the greater the true degree of hollowing, the more likely the corresponding suspected abnormal signal data is the signal data corresponding to the hollowing area.

[0109] In order to accurately indicate the possibility that each suspected abnormal signal data is the signal data corresponding to the hollow drum area, this embodiment specifically quantifies the hollow drum authenticity as a hollow drum authenticity value. The larger the hollow drum authenticity value, the more likely the corresponding suspected abnormal signal data is the signal data corresponding to the hollow drum area. The calculation formula of the hollow drum authenticity value is: ; In the formula, is the true value of hollowness of the u-th suspected abnormal signal data; is the hollowing reference degree value of the u-th suspected abnormal signal data; is the abnormal reference value of the u-th suspected abnormal signal data; norm is the normalization function.

[0110] At this point, the true hollowing degree value of each suspected abnormal signal data is obtained.

[0111] The larger the hollowing true degree value is, the more likely the corresponding suspected abnormal signal data is the real abnormal signal data corresponding to the hollowing area. Therefore, this embodiment sets the preset hollowing true degree threshold to 0.7. The implementer can set the preset hollowing true degree threshold according to the actual situation, which is not limited here. When the hollowing true degree value is greater than the preset hollowing true degree threshold, the corresponding suspected abnormal signal data is taken as the real abnormal signal data.

[0112] At this point, the real abnormal signal data is determined.

[0113] Step S402: Acquire the hollow drum area.

[0114] It is known that the real abnormal signal data is the signal data corresponding to the hollow area, and thus, in this embodiment, the preset area corresponding to the real abnormal signal data is used as the hollow area in the channel lining area. Thus, the hollow area in the channel lining area is accurately detected, and in order to ensure the quality of the channel, all the concrete in the hollow area is cleaned, and concrete with a high frost resistance rating is re-poured to eliminate the hollow area in the channel lining area.

[0115] In summary, the present embodiment obtains the signal data of the channel lining area and the reception time of the signal data; obtains the abnormal reference degree according to the difference between adjacent signal data in the preset neighborhood of the signal data, the degree of change of the signal data, the size of the reception time and the difference in the reception time of adjacent signal data, and then screens out the suspected abnormal signal data; obtains the hollow reference degree according to the distribution and fluctuation of the suspected abnormal signal data in the preset neighborhood of the suspected abnormal signal data, and the time interval of the adjacent suspected abnormal signal data; obtains the real abnormal signal data to determine the hollow area according to the hollow reference degree and the abnormal reference degree. The present invention obtains the real abnormal signal data, and then accurately detects the hollow area in the channel lining area, thereby avoiding the situation where the uneven distribution of aggregate leads to inaccurate detection of the hollow area.

[0116] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0117] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A channel lining method for a water conservancy project, characterized in that: The method comprises the following steps: Obtain signal data of the channel lining area and the receiving time of each signal data; Obtaining an abnormal reference degree of each signal data according to the difference between adjacent signal data within a preset neighborhood of each signal data and the degree of change of the signal data, as well as the distribution of reception duration within the preset neighborhood and the difference between reception durations of adjacent signal data; The suspected abnormal signal data are screened out based on the abnormal reference degree, and the hollow reference degree of each suspected abnormal signal data is obtained according to the distribution and fluctuation of the suspected abnormal signal data in a preset neighborhood of each suspected abnormal signal data and the fluctuation of the time interval of adjacent suspected abnormal signal data; According to the hollowing reference degree and abnormal reference degree of each suspected abnormal signal data, the real abnormal signal data is obtained to determine the hollowing area in the channel lining area; The method for obtaining the signal data of the channel lining area and the receiving time of each signal data is as follows: Move the ultrasonic detection device on the surface of the channel lining area in the direction of the channel lining to obtain signal data of each preset area in the channel lining area; wherein the ultrasonic detection device obtains signal data of one preset area each time it moves, and one preset area corresponds to one signal data; For any signal data, the duration from the time when the ultrasonic signal corresponding to the signal data is emitted to the time when the signal data is received is obtained as the reception duration of the signal data; The method for obtaining the abnormal reference degree is: Obtaining the magnitude abnormality of each signal data according to the difference between adjacent signal data within a preset neighborhood of each signal data and the degree of change of the signal data; According to the distribution of the reception time of each signal data in a preset neighborhood and the difference in the reception time of adjacent signal data, the abnormal degree of the time of each signal data is obtained; According to the abnormality degree of size and duration of each signal data, the abnormality reference degree of each signal data is obtained; wherein the abnormality degree of size and the abnormality degree of duration are both positively correlated with the abnormality reference degree; The abnormal reference degree is specifically quantified as an abnormal reference degree value, wherein the calculation formula of the abnormal reference degree value is: ; In the formula, is the abnormal reference value of the i-th signal data; is the abnormality value of the size of the i-th signal data; is the abnormal degree value of the duration of the i-th signal data; norm is the normalization function; The method for obtaining the degree of size abnormality is: For any two adjacent signal data within a preset neighborhood of any signal data, obtaining a difference between a previous signal data and a subsequent signal data of the two adjacent signal data as a first value; When the first value is greater than or equal to the preset first value threshold, the first difference adjustment factor of the two adjacent signal data is set to 1; When the first value is less than the preset first value threshold, the first difference adjustment factor of the two adjacent signal data is set to 0.1; taking the product of the first difference adjustment factor of the two adjacent signal data and the absolute value of the first value as the difference reference value of the two adjacent signal data; Taking the average of the difference reference values ​​of all two adjacent signal data in a preset neighborhood of the signal data as the overall difference value of the signal data; Obtaining the magnitude anomaly degree of the signal data according to the overall difference value of the signal data and the degree of change of the signal data within a preset neighborhood of the signal data; wherein the overall difference value and the degree of change of the signal data within the preset neighborhood are both positively correlated with the magnitude anomaly degree; The size abnormality degree is specifically quantified as the size abnormality degree value, wherein the calculation formula of the size abnormality degree value is: ; In the formula, is the abnormality value of the size of the i-th signal data; is the number of signal data within the preset neighborhood of the i-th signal data; is a first difference adjustment factor between the cth signal data and the c+1th signal data within a preset neighborhood of the ith signal data; is the cth signal data within the preset neighborhood of the ith signal data; is the c+1th signal data within the preset neighborhood of the ith signal data; is the minimum signal data within the preset neighborhood of the i-th signal data; is the maximum signal data within the preset neighborhood of the i-th signal data; is the absolute value function; is the first value; is a reference value of the difference between the cth signal data and the c+1th signal data within a preset neighborhood of the ith signal data; is the overall difference value of the i-th signal data; The method for obtaining the abnormal degree of duration is as follows: For any two adjacent signal data within a preset neighborhood of any signal data, obtaining a difference between the reception time lengths of the previous signal data and the next signal data in the two adjacent signal data as the second value; When the second value is greater than or equal to the preset second value threshold, the second difference adjustment factor of the two adjacent signal data is set to 1; When the second value is less than the preset second value threshold, the second difference adjustment factor of the two adjacent signal data is set to 0.1; The product of the second difference adjustment factor of the two adjacent signal data and the absolute value of the second value is used as a reference value of the time difference between the two adjacent signal data; The average of the duration difference reference values ​​of all two adjacent signal data in a preset neighborhood of the signal data is used as the overall duration difference value of the signal data; The receiving time that appears most frequently among all the receiving time of the signal data is used as the reference receiving time; Acquire the number of reception durations greater than the reference reception duration in a preset neighborhood of the signal data as a second number; According to the overall duration difference value and the second quantity of the signal data, the duration anomaly degree of the signal data is obtained; wherein the overall duration difference value and the second quantity are both positively correlated with the duration anomaly degree; The duration abnormality is specifically quantified as a duration abnormality value, where the calculation formula for the duration abnormality value is: ; In the formula, is the abnormal degree value of the duration of the i-th signal data; is the number of signal data within the preset neighborhood of the i-th signal data; is a second difference adjustment factor between the cth signal data and the c+1th signal data within a preset neighborhood of the ith signal data; is the reception time of the cth signal data in the preset neighborhood of the ith signal data; is the reception time of the c+1th signal data in the preset neighborhood of the ith signal data; is a second quantity within a preset neighborhood of the i-th signal data; is the second value; is a reference value of the time difference between the cth signal data and the c+1th signal data within the preset neighborhood of the ith signal data; is the overall duration difference value of the i-th signal data; The method for obtaining the suspected abnormal signal data is: When the abnormal reference degree meets the preset abnormal reference degree range, the corresponding signal data is suspected abnormal signal data; The method for obtaining the hollowing reference degree is: For any suspected abnormal signal data, obtaining the number of suspected abnormal signal data within a preset neighborhood of the suspected abnormal signal data as a first number; Obtain the duration between any two adjacent suspected abnormal signal data corresponding to the instants in the preset neighborhood of the suspected abnormal signal data, and use them as the first duration; Obtaining a hollowing reference degree of the suspected abnormal signal data according to the first quantity, the fluctuation of the first time length, and the variance of all suspected abnormal signal data in a preset neighborhood of the suspected abnormal signal data; wherein the first quantity is positively correlated with the hollowing reference degree, and the fluctuation of the first time length and the variance of all suspected abnormal signal data in a preset neighborhood are negatively correlated with the hollowing reference degree; The hollowing reference degree is specifically quantified as a hollowing reference degree value, wherein the calculation formula of the hollowing reference degree value is: ; In the formula, is the hollowing reference degree value of the u-th suspected abnormal signal data; is the first number in the preset neighborhood of the u-th suspected abnormal signal data; is the total number of the first duration in the preset neighborhood of the u-th suspected abnormal signal data; is the nth first duration in the preset neighborhood of the uth suspected abnormal signal data; is the mean of all first durations in the preset neighborhood of the u-th suspected abnormal signal data; is the variance of all suspected abnormal signal data within the preset neighborhood of the u-th suspected abnormal signal data; is the first preset constant, greater than 0; is the absolute value function; The method for obtaining the real abnormal signal data is: According to the hollowing reference degree and the abnormal reference degree of each suspected abnormal signal data, the hollowing true degree of each suspected abnormal signal data is obtained; wherein the hollowing reference degree and the abnormal reference degree are both positively correlated with the hollowing true degree; The true degree of hollowing is specifically quantified as the true degree of hollowing value, wherein the calculation formula of the true degree of hollowing value is: ; In the formula, is the true value of hollowness of the u-th suspected abnormal signal data; is the hollowing reference degree value of the u-th suspected abnormal signal data; is the abnormal reference value of the u-th suspected abnormal signal data; norm is the normalization function; When the true degree of hollowing meets the preset true degree range of hollowing, the corresponding suspected abnormal signal data is the true abnormal signal data.

2. A method for lining a channel for a water conservancy project as claimed in claim 1, characterized in that: The method for obtaining the hollow area is: The area corresponding to the real abnormal signal data is regarded as the hollow area in the channel lining area.

3. A channel lining device for a water conservancy project, characterized in that: The device includes: An acquisition module is used to acquire signal data of the channel lining area and the receiving time of each signal data; An abnormal reference degree acquisition module, used to acquire the abnormal reference degree of each signal data according to the difference between adjacent signal data in a preset neighborhood of each signal data and the degree of change of the signal data, as well as the distribution of reception time in the preset neighborhood and the difference between reception time of adjacent signal data; A hollowing reference degree acquisition module is used to screen out suspected abnormal signal data based on the abnormal reference degree, and acquire the hollowing reference degree of each suspected abnormal signal data according to the distribution and fluctuation of the suspected abnormal signal data in a preset neighborhood of each suspected abnormal signal data, and the fluctuation of the time interval of adjacent suspected abnormal signal data; A hollow area acquisition module, for acquiring real abnormal signal data according to the hollow reference degree and abnormal reference degree of each suspected abnormal signal data, and determining the hollow area in the channel lining area; The method for obtaining the signal data of the channel lining area and the receiving time of each signal data is as follows: Move the ultrasonic detection device on the surface of the channel lining area in the direction of the channel lining to obtain signal data of each preset area in the channel lining area; wherein the ultrasonic detection device obtains signal data of one preset area each time it moves, and one preset area corresponds to one signal data; For any signal data, the duration from the time when the ultrasonic signal corresponding to the signal data is emitted to the time when the signal data is received is obtained as the reception duration of the signal data; The method for obtaining the abnormal reference degree is: Obtaining the magnitude abnormality of each signal data according to the difference between adjacent signal data within a preset neighborhood of each signal data and the degree of change of the signal data; According to the distribution of the reception time of each signal data in a preset neighborhood and the difference in the reception time of adjacent signal data, the abnormal degree of the time of each signal data is obtained; According to the abnormality degree of size and duration of each signal data, the abnormality reference degree of each signal data is obtained; wherein the abnormality degree of size and the abnormality degree of duration are both positively correlated with the abnormality reference degree; The abnormal reference degree is specifically quantified as an abnormal reference degree value, wherein the calculation formula of the abnormal reference degree value is: ; In the formula, is the abnormal reference value of the i-th signal data; is the abnormality value of the size of the i-th signal data; is the abnormal degree value of the duration of the i-th signal data; norm is the normalization function; The method for obtaining the degree of size abnormality is: For any two adjacent signal data within a preset neighborhood of any signal data, obtaining a difference between a previous signal data and a subsequent signal data of the two adjacent signal data as a first value; When the first value is greater than or equal to the preset first value threshold, the first difference adjustment factor of the two adjacent signal data is set to 1; When the first value is less than the preset first value threshold, the first difference adjustment factor of the two adjacent signal data is set to 0.1; taking the product of the first difference adjustment factor of the two adjacent signal data and the absolute value of the first value as the difference reference value of the two adjacent signal data; Taking the average of the difference reference values ​​of all two adjacent signal data in a preset neighborhood of the signal data as the overall difference value of the signal data; Obtaining the magnitude anomaly degree of the signal data according to the overall difference value of the signal data and the degree of change of the signal data within a preset neighborhood of the signal data; wherein the overall difference value and the degree of change of the signal data within the preset neighborhood are both positively correlated with the magnitude anomaly degree; The size abnormality degree is specifically quantified as the size abnormality degree value, wherein the calculation formula of the size abnormality degree value is: ; In the formula, is the abnormality value of the size of the i-th signal data; is the number of signal data within the preset neighborhood of the i-th signal data; is a first difference adjustment factor between the cth signal data and the c+1th signal data within a preset neighborhood of the ith signal data; is the cth signal data within the preset neighborhood of the ith signal data; is the c+1th signal data within the preset neighborhood of the ith signal data; is the minimum signal data within the preset neighborhood of the i-th signal data; is the maximum signal data within the preset neighborhood of the i-th signal data; is the absolute value function; is the first value; is a reference value of the difference between the cth signal data and the c+1th signal data within a preset neighborhood of the ith signal data; is the overall difference value of the i-th signal data; The method for obtaining the abnormal degree of duration is as follows: For any two adjacent signal data within a preset neighborhood of any signal data, obtaining a difference between the reception time lengths of the previous signal data and the next signal data in the two adjacent signal data as the second value; When the second value is greater than or equal to the preset second value threshold, the second difference adjustment factor of the two adjacent signal data is set to 1; When the second value is less than the preset second value threshold, the second difference adjustment factor of the two adjacent signal data is set to 0.1; The product of the second difference adjustment factor of the two adjacent signal data and the absolute value of the second value is used as a reference value of the time difference between the two adjacent signal data; The average of the duration difference reference values ​​of all two adjacent signal data in a preset neighborhood of the signal data is used as the overall duration difference value of the signal data; The receiving time that appears most frequently among all the receiving time of the signal data is used as the reference receiving time; Acquire the number of reception durations greater than the reference reception duration in a preset neighborhood of the signal data as a second number; According to the overall duration difference value and the second quantity of the signal data, the duration anomaly degree of the signal data is obtained; wherein the overall duration difference value and the second quantity are both positively correlated with the duration anomaly degree; The duration abnormality is specifically quantified as a duration abnormality value, where the calculation formula for the duration abnormality value is: ; In the formula, is the abnormal degree value of the duration of the i-th signal data; is the number of signal data within the preset neighborhood of the i-th signal data; is a second difference adjustment factor between the cth signal data and the c+1th signal data within a preset neighborhood of the ith signal data; is the reception time of the cth signal data in the preset neighborhood of the ith signal data; is the reception time of the c+1th signal data in the preset neighborhood of the ith signal data; is a second quantity within a preset neighborhood of the i-th signal data; is the second value; is a reference value of the time difference between the cth signal data and the c+1th signal data within the preset neighborhood of the ith signal data; is the overall duration difference value of the i-th signal data; The method for obtaining the suspected abnormal signal data is: When the abnormal reference degree meets the preset abnormal reference degree range, the corresponding signal data is suspected abnormal signal data; The method for obtaining the hollowing reference degree is: For any suspected abnormal signal data, obtaining the number of suspected abnormal signal data within a preset neighborhood of the suspected abnormal signal data as a first number; Obtain the duration between any two adjacent suspected abnormal signal data corresponding to the instants in the preset neighborhood of the suspected abnormal signal data, and use them as the first duration; Obtaining a hollowing reference degree of the suspected abnormal signal data according to the first quantity, the fluctuation of the first time length, and the variance of all suspected abnormal signal data in a preset neighborhood of the suspected abnormal signal data; wherein the first quantity is positively correlated with the hollowing reference degree, and the fluctuation of the first time length and the variance of all suspected abnormal signal data in a preset neighborhood are negatively correlated with the hollowing reference degree; The hollowing reference degree is specifically quantified as a hollowing reference degree value, wherein the calculation formula of the hollowing reference degree value is: ; In the formula, is the hollowing reference degree value of the u-th suspected abnormal signal data; is the first number in the preset neighborhood of the u-th suspected abnormal signal data; is the total number of the first duration in the preset neighborhood of the u-th suspected abnormal signal data; is the nth first duration in the preset neighborhood of the uth suspected abnormal signal data; is the mean of all first durations in the preset neighborhood of the u-th suspected abnormal signal data; is the variance of all suspected abnormal signal data within the preset neighborhood of the u-th suspected abnormal signal data; is the first preset constant, greater than 0; is the absolute value function; The method for obtaining the real abnormal signal data is: According to the hollowing reference degree and the abnormal reference degree of each suspected abnormal signal data, the hollowing true degree of each suspected abnormal signal data is obtained; wherein the hollowing reference degree and the abnormal reference degree are both positively correlated with the hollowing true degree; The true degree of hollowing is specifically quantified as the true degree of hollowing value, wherein the calculation formula of the true degree of hollowing value is: ; In the formula, is the true value of hollowness of the u-th suspected abnormal signal data; is the hollowing reference degree value of the u-th suspected abnormal signal data; is the abnormal reference value of the u-th suspected abnormal signal data; norm is the normalization function; When the true degree of hollowing meets the preset true degree range of hollowing, the corresponding suspected abnormal signal data is the true abnormal signal data.

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