CN115047065A - Method, device and equipment for correcting impact of knocking force in beating method - Google Patents
Method, device and equipment for correcting impact of knocking force in beating method Download PDFInfo
- Publication number
- CN115047065A CN115047065A CN202210095282.2A CN202210095282A CN115047065A CN 115047065 A CN115047065 A CN 115047065A CN 202210095282 A CN202210095282 A CN 202210095282A CN 115047065 A CN115047065 A CN 115047065A
- Authority
- CN
- China
- Prior art keywords
- period
- calculating
- duration
- index
- gravity center
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
- G01N29/045—Analysing solids by imparting shocks to the workpiece and detecting the vibrations or the acoustic waves caused by the shocks
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
- G01N29/4409—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by comparison
- G01N29/4418—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by comparison with a model, e.g. best-fit, regression analysis
Landscapes
- Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Pathology (AREA)
- Biochemistry (AREA)
- Immunology (AREA)
- General Physics & Mathematics (AREA)
- Signal Processing (AREA)
- Engineering & Computer Science (AREA)
- Acoustics & Sound (AREA)
- Combined Controls Of Internal Combustion Engines (AREA)
- Electrical Control Of Ignition Timing (AREA)
Abstract
The invention discloses a method, a device and equipment for correcting the impact of knocking force in a beating method, which comprises the following steps: fitting by using calibration data to obtain a reference curve, and calculating to obtain a correction index; correcting the characteristic parameter value of the measured data through the reference curve; and detecting defects according to the corrected actually measured data characteristic parameter values and the corrected indexes. The invention realizes the correction of characteristic parameters such as the excellent period, the gravity center period value and the like by analyzing the duration of the signal, thereby realizing the optimization of the test signal and improving the accuracy and the reliability of subsequent detection judgment.
Description
Technical Field
The invention belongs to the technical field of engineering nondestructive testing, and particularly relates to a method, a device and equipment for correcting the impact of knocking force in a knocking method.
Background
In the technical field of engineering detection, a tapping method (tapping method) is a simple and effective method. The surface of the test structure is knocked by using a vibration hammer to generate a vibration signal, and the existence of the void defect of the structure is analyzed and distinguished through sound listening of a person or after the signal is picked up by using a sound pickup device. Particularly in the field of railway tunnel lining detection, the application is wider, and in the specification TB 104172018 of 'railway tunnel engineering construction quality acceptance standard' issued by the State railway administration, the detection technology of knocking (sounding method) is adopted for detecting and accepting the railway large lining quality.
The existing sound making method test signal analysis is greatly influenced by the knocking force, and even if the same measuring point and the knocking force are different, the characteristic parameters (such as duration, excellence, gravity center period and the like) of sound of the existing sound making method test signal analysis also change, so that the analysis result is inaccurate, and reliable and effective data support cannot be provided.
Disclosure of Invention
The invention provides a method for correcting the impact of knocking strength in a sound making method, which aims to solve the problem that the analysis result is inaccurate due to the impact of the knocking strength on the analysis of a test signal by the existing sound making method. The invention realizes the correction of characteristic parameters such as the excellent period, the gravity center period value and the like by analyzing the duration of the signal, thereby realizing the optimization of the test signal and improving the accuracy and the reliability of subsequent detection judgment.
The invention is realized by the following technical scheme:
a method of correcting the impact of tapping force in a voicing method comprising:
fitting by using the calibration data to obtain a reference curve, and calculating to obtain a correction index;
correcting the characteristic parameter value of the measured data through the reference curve;
and detecting defects according to the corrected actually measured data characteristic parameter values and the corrected indexes.
Preferably, the step of obtaining the reference curve by fitting the calibration data includes:
obtaining calibration data;
obtaining a regression datum line by utilizing least square regression fitting according to calibration data;
calculating standard deviations of a prominent period and a gravity center period corresponding to the duration of the calibration data according to the regression datum line;
calculating the reference values of the excellent period and the gravity center period corresponding to the duration time of the calibration data according to the regression reference line;
and calculating the comprehensive correction coefficient of the knocking force according to the standard deviation and the reference value of the excellent period and the gravity center period.
Preferably, the regression baseline obtained by the least squares regression fitting of the present invention is represented as:
y i ＝aln(T e，i )+b
wherein the coefficient a and the coefficient b are the regression baseline coefficient, y i Indicating a period of superiority or period of center of gravity.
Preferably, the step of calculating the standard deviation of the dominant period and the barycentric period corresponding to the duration of the calibration data specifically includes:
calculating to obtain a prominent period and a gravity center period corresponding to the duration of the calibration data according to the regression datum line;
and calculating standard deviation of the excellent period and the gravity center period according to the calculated excellent period and gravity center period and the actually measured excellent period and gravity center period by using the following formula.
Preferably, the step of calculating the reference value of the excellent period or the center of gravity period corresponding to the duration of the calibration data includes:
if the signal duration is equal to or greater than the maximum value, a reference value of the excellent period or the barycentric period is calculated by equation (1):
T C ＝aln(T e_max )+b+1.645σ (1)
in the formula, T e_max Is the maximum of the duration; σ is the standard deviation; the coefficient a and the coefficient b are regression baseline coefficients;
if the signal duration is equal to or less than the minimum value, a reference value of the excellent period or the barycentric period is calculated by equation (2):
T C ＝aln(T e_min )+b+1.645σ (2)
in the formula, T e_min Minimum value of duration;
if the signal duration is greater than the minimum value and less than the maximum value, a reference value of the excellent period or the barycentric period is calculated by equation (3):
T C ＝aln(T e )+b+1.645σ (3)。
preferably, the step of calculating the comprehensive correction coefficient of the knocking force specifically comprises the following steps:
calculating to obtain a comprehensive reference value of the excellent period and the gravity center period;
and calculating to obtain a comprehensive correction coefficient of the knocking force according to the comprehensive reference value and the standard deviation of the excellent period and the gravity center period.
Preferably, the step of correcting the measured data characteristic parameter value through the reference curve of the present invention specifically includes:
acquiring measured data;
calculating to obtain an excellent period reference value and a gravity center period reference value corresponding to the duration of the measured data according to the reference curve;
calculating out the subentry index of the void index according to the excellent period reference value and the gravity center period reference value respectively;
and calculating to obtain a comprehensive void fraction index according to the subentry index.
Preferably, the step of detecting the defect according to the corrected actually measured data characteristic parameter value and the corrected index specifically comprises:
and judging whether the detected object has defects or not according to the comprehensive void index and the comprehensive knocking strength correction index.
In a second aspect, the invention provides a device for correcting the impact of the knocking force in the knocking method, which comprises a calibration module, a correction module and a detection module;
the calibration module utilizes calibration data to fit to obtain a reference curve and calculates to obtain a correction index;
the correction module corrects the characteristic parameter value of the measured data through the reference curve;
and the detection module detects the defects according to the corrected actually measured data characteristic parameter values and the corrected indexes.
In a third aspect, the invention proposes a computer device comprising a memory storing a computer program and a processor implementing the steps of the method of the invention when executing the computer program.
The invention has the following advantages and beneficial effects:
according to the method, the data measured by the sounding method are corrected and optimized, so that the stability and reliability of the data are guaranteed, the accuracy of the analysis result of the sounding method test signal is improved, and more effective and reliable data support is provided for subsequent detection and judgment.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a schematic flow chart of the method of the present invention.
FIG. 2 is a flow chart of the fitting process of the present invention.
FIG. 3 is a regression plot of calibration data in accordance with the present invention.
FIG. 4 is a flow chart illustrating a modification process according to the present invention.
FIG. 5 is a functional block diagram of the computer apparatus of the present invention.
Fig. 6 is a schematic block diagram of the apparatus of the present invention.
Fig. 7 is a time domain diagram of measured (raw) data for an application scenario.
Fig. 8 is a graph of the original data spectrum shown in fig. 7.
Fig. 9 is a statistical view of the void fraction obtained by performing spectrum analysis on the measured data shown in fig. 7.
FIG. 10 is a statistical plot of the void fraction after correction using the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and the accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not used as limiting the present invention.
Example 1
The embodiment provides a method for correcting the impact of the knocking strength in the sounding method, and analysis and research on a large amount of field measured data show that the larger the hitting strength is, the longer and more excellent the duration of the signal is and the gravity center period is shortened in the normal situation, so that the method of the embodiment realizes correction of characteristic parameters such as the excellent period and the gravity center period value by analyzing the duration of the signal.
As shown in fig. 1, the method of this embodiment specifically includes the following steps:
and step 101, fitting by using calibration data to obtain a reference curve, and calculating to obtain a correction index.
As shown in fig. 2, step 101 of this embodiment specifically includes the following sub-steps:
In the embodiment, under the condition of no noise, the calibration data [ T ] is collected on site e，i ，T s，i ]，T e，i For the duration of the data, T s，i Is the period of the center of gravity (excellent), and extracts the maximum value T of the signal duration from the calibration data e_max And minimum value T e_min . Wherein the subscript i is the measurement point number.
And step 202, obtaining a regression datum line by using least square regression fitting according to the calibration data.
This embodiment gives i ＝T s，i ，x i ＝lnT e，i If a regression reference line (i.e., a curve with In duration as abscissa and excellent (center of gravity) period as ordinate) is obtained by fitting the regression reference line with least squares regression (y ═ ax + b), as shown In fig. 3, so that a coefficient a and a coefficient b of the regression reference line can be obtained, the regression reference line can be represented as:
y i ＝aln(T e，i )+b。
in step 203, the standard deviation of the (excellent) period of the center of gravity is calculated.
Specifically, the obtained regression reference line is combined with the duration of the calibration data to calculate the corresponding gravity center (excellent) period, and a specific calculation formula is shown as the following formula (1):
y i ＝aln(T e，i )+b (1)
calculating a standard deviation sigma of the gravity center (excellent) period according to the gravity center (excellent) period corresponding to the calculated duration and the gravity center (excellent) period corresponding to the actually measured duration, wherein the specific calculation formula is shown as the following formula (2):
in the formula, T s，i For the measured centre of gravity (excellent) period, y, corresponding to this duration i For the calculated duration corresponding to the (excellent) period of the center of gravity, N is the number of measured points.
In step 204, a reference value of the period of the center of gravity (excellent) is calculated.
In the present embodiment, the reference value T of the period of the center of gravity (excellent) is calculated by equations (3) to (5) C ：
T e ≥T e_max ：T C ＝aln(T e_max )+b+1.645σ； (3)
T e ≤T e_min ：T C ＝aln(T e_min )+b+1.645σ； (4)
T e_max ＞T e ＞T e_min ：T C ＝aln(T e )+b+1.645σ； (5)
And step 205, calculating a comprehensive correction coefficient of the knocking strength.
The present embodiment calculates the integrated reference value C of the cycle of the center of gravity (excellent) by equation (6):
calculating a comprehensive correction coefficient eta by the formula (7):
in the formula, C 1 Comprehensive reference value, C, representing excellent cycle 2 A comprehensive reference value, σ, representing the period of the center of gravity 1 Standard deviation, σ, representing excellent period 2 Indicating the standard deviation of the period of the center of gravity.
And 102, correcting the characteristic parameter value of the measured data through the reference curve.
As shown in fig. 4, step 102 of this embodiment specifically includes the following sub-steps:
301, testing data to obtain parameter x k ( k 1, 2 correspond to the excellent period and the center of gravity period, respectively) and duration T e 。
In the formula, k is 1 and 2, respectively, corresponding to the excellent period and the barycentric period.
D＝(S 1 ·S 2 ) 1/2 (9)
in the formula, S 1 Representing the excellent cycle fractional index, S 2 Representing the barycentric period itemized index.
And 103, detecting defects according to the corrected actually measured data characteristic parameter values and the corrected indexes.
In the embodiment, whether the detected object has defects is judged according to the comprehensive void index and the comprehensive knocking strength correction index.
The specific determination process in this embodiment is as follows:
if D is more than or equal to 1+0.682 eta, judging that the defect exists;
if the 1+0.682 eta is larger than D and is larger than or equal to 1, judging that suspected defects exist; by further confirming whether a defect exists;
if 1 > D, it is judged to be sound.
The present embodiment further proposes a computer device for executing the above method of the present embodiment.
As shown in fig. 5 in particular, the computer device includes a processor, an internal memory, and a system bus; various device components including internal memory and processors are connected to the system bus. A processor is hardware used to execute computer program instructions through basic arithmetic and logical operations in a computer system. An internal memory is a physical device used to temporarily or permanently store computing programs or data (e.g., program state information). The system bus may be any of several types of bus structures including a memory bus or memory controller, a peripheral bus, and a local bus. The processor and the internal memory may be in data communication via a system bus. Including read-only memory (ROM) or flash memory (not shown), and Random Access Memory (RAM), which typically refers to main memory loaded with an operating system and computer programs.
Computer devices typically include an external storage device. The external storage device may be selected from a variety of computer-readable media, which refers to any available media that can be accessed by the computing device, including both mobile and fixed media. For example, computer-readable media includes, but is not limited to, flash memory (micro SD cards), CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer device.
A computer device may be logically connected in a network environment to one or more network terminals. The network terminal may be a personal computer, a server, a router, a smart phone, a tablet, or other common network node. The computer apparatus is connected to the network terminal through a network interface (local area network LAN interface). A Local Area Network (LAN) refers to a computer network formed by interconnecting within a limited area, such as a home, a school, a computer lab, or an office building using a network medium. WiFi and twisted pair wiring ethernet are the two most commonly used technologies to build local area networks.
It should be noted that other computer systems including more or less subsystems than computer devices can also be suitable for use with the invention.
As described above in detail, the computer device adapted to the present embodiment can execute the specified operation of the method of correcting the influence of the tapping force in the tapping method. The computer device performs these operations in the form of software instructions executed by a processor in a computer-readable medium. These software instructions may be read into memory from a storage device or from another device via a local area network interface. The software instructions stored in the memory cause the processor to perform the method of processing group membership information described above. Furthermore, the present invention can be implemented by hardware circuits or by a combination of hardware circuits and software instructions. Thus, implementation of the present embodiments is not limited to any specific combination of hardware circuitry and software.
Example 2
The embodiment provides a device for correcting the influence of the knocking force in the beating method, and particularly, as shown in fig. 6, the device of the embodiment includes a calibration module, a correction module and a detection module.
The calibration module utilizes calibration data to fit to obtain a reference curve and calculates to obtain a correction index;
the correction module corrects the characteristic parameter value of the measured data through the reference curve;
and the detection module detects the defects according to the corrected actually measured data characteristic parameter values and the corrected indexes.
The calibration module of the embodiment comprises a calibration data acquisition unit, a fitting unit, a standard deviation calculation unit, a reference value calculation unit and a coefficient calculation unit.
The calibration data acquisition unit is used for acquiring calibration data including data duration T e，i And central (excellent) period T s，i Wherein, i is 1, 2 corresponds to excellent period, barycentric period respectively; and extracting the maximum value T of the signal duration from the calibration data e_max And minimum value T e_min 。
The fitting unit obtains a regression reference line by adopting least square regression fitting according to the calibration data.
The standard deviation calculation unit calculates the standard deviation of the barycentric (excellent) period.
The reference value calculation unit calculates a reference value for obtaining a cycle of the center of gravity (excellent).
The coefficient calculation unit calculates a comprehensive correction index of the knocking force according to the standard deviation and the reference value of the period of the center of gravity (excellence).
The correction module of the embodiment comprises a test data acquisition unit, an actual measurement reference value calculation unit, a subentry index calculation unit and a void index calculation unit.
The test data acquisition unit is used for acquiring a test parameter x k ( k 1, 2 correspond to the excellent period and the center of gravity period, respectively) and duration T e 。
The actual measurement reference value calculation unit calculates a center of gravity (excellent) cycle reference value corresponding to the duration of the actual measurement data.
The fractional index calculation unit calculates a fractional index of the void index.
And the void index calculating unit calculates the comprehensive void index according to the subentry index.
The detection module of the embodiment judges whether the detected object has defects according to the comprehensive void index and the comprehensive knocking force correction coefficient.
Example 3
In the embodiment, the technology provided by the embodiment is applied to the lining detection of a railway tunnel, a knocking acoustic frequency detection method is adopted to obtain relevant data, the tunnel is a tunnel under construction, the actually measured data is shown in figures 7-8, the excellent period of the actually measured data is 8.52ms, the gravity center period is 0.17ms, the degreasing index is 1.95 (defect), and the excellent period of a signal is greatly changed due to the change of knocking force, so that the judgment of the result of the actually measured data is influenced.
In this embodiment, the original data is directly subjected to spectrum analysis and calculated to obtain the void index, as shown in fig. 9 (where x represents the void index, and y represents the measurement point), as can be seen from fig. 9, particularly the void index of the data at the void is unstable, therefore, the data is corrected by using the method provided by the above embodiment, and the result is shown in fig. 10, as can be seen from comparing fig. 9 and 10, after the correction by the tapping force, the stability of the data by the tapping method is improved remarkably, which is beneficial to the determination of the actually measured data result.
The above-mentioned embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only examples of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method for correcting the impact of knocking strength in a beating method is characterized by comprising the following steps:
fitting by using the calibration data to obtain a reference curve, and calculating to obtain a correction index;
correcting the characteristic parameter value of the measured data through the reference curve;
and detecting defects according to the corrected actually measured data characteristic parameter values and the corrected indexes.
2. The method for modifying the impact of percussive force in a voicing method as in claim 1, wherein the step of fitting calibration data to obtain a reference curve specifically comprises:
obtaining calibration data;
obtaining a regression datum line by utilizing least square regression fitting according to calibration data;
calculating standard deviations of a prominent period and a gravity center period corresponding to the duration of the calibration data according to the regression datum line;
calculating the reference values of the excellent period and the gravity center period corresponding to the duration time of the calibration data according to the regression reference line;
and calculating a comprehensive correction coefficient of the knocking strength according to the standard deviation and the reference value of the excellent period and the gravity center period.
3. The method of modifying the impact of percussive force in a voicing method of claim 2 wherein the regression datum obtained using least squares regression fitting is represented as:
y i ＝a ln(T e，i )+b
wherein the coefficient a and the coefficient b are the regression baseline coefficient, y i Indicating a period of excellence or a period of center of gravity.
4. The method for modifying the impact of percussive force in a phonation method as set forth in claim 2, wherein the step of calculating the standard deviation of the dominant period and the center of gravity period corresponding to the duration of the calibration data specifically includes:
calculating to obtain a prominent period and a gravity center period corresponding to the duration of the calibration data according to a regression datum line;
and calculating the standard deviation of the excellent period and the gravity center period according to the calculated excellent period and gravity center period and the actually measured excellent period and gravity center period by using the following formula.
5. The method for modifying the impact of percussive force in a vocalizing method of claim 2, wherein the step of calculating a reference value for a dominant period or a center of gravity period corresponding to a duration of calibration data specifically comprises:
if the signal duration is equal to or greater than the maximum value, a reference value of the excellent period or the barycentric period is calculated by equation (1):
T C ＝a ln(T e_max )+b+1.645σ (1)
in the formula, T e_min Is the maximum of the duration; σ is the standard deviation; the coefficient a and the coefficient b are regression baseline coefficients;
if the signal duration is equal to or less than the minimum value, a reference value of the excellent period or the barycentric period is calculated by equation (2):
T C ＝a ln(T e_min )+b+1.645σ (2)
in the formula, T e_min Minimum value of duration;
if the signal duration is greater than the minimum value and less than the maximum value, a reference value of the excellent period or the barycentric period is calculated by equation (3):
T C ＝a ln(T e )+b+1.645σ (3)。
6. the method for correcting the impact of the tapping force in the phonation method according to claim 2, wherein the step of calculating the comprehensive correction coefficient of the tapping force comprises the following steps:
calculating to obtain a comprehensive reference value of the excellent period and the gravity center period;
and calculating to obtain a comprehensive correction coefficient of the knocking force according to the comprehensive reference value and the standard deviation of the excellent period and the gravity center period.
7. The method for correcting the impact of the tapping force in the phonation method according to claim 2, wherein the step of correcting the measured data characteristic parameter values through the reference curve specifically comprises:
acquiring measured data;
calculating to obtain an excellent period reference value and a gravity center period reference value corresponding to the duration of the measured data according to the reference curve;
calculating out the subentry index of the void index according to the excellent period reference value and the gravity center period reference value respectively;
and calculating to obtain a comprehensive void fraction index according to the subentry index.
8. The method for correcting the impact of the tapping force in the tapping method according to claim 7, wherein the step of detecting the defects according to the corrected characteristic parameter values and the corrected indexes of the measured data specifically comprises the steps of:
and judging whether the detected object has defects or not according to the comprehensive void index and the comprehensive knocking strength correction index.
9. A device for correcting the impact of knocking force in a knocking method is characterized by comprising a calibration module, a correction module and a detection module;
the calibration module utilizes calibration data to fit to obtain a reference curve and calculates to obtain a correction index;
the correction module corrects the characteristic parameter value of the measured data through the reference curve;
and the detection module performs defect detection according to the corrected measured data characteristic parameter value and the corrected index.
10. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method according to any of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210095282.2A CN115047065A (en) | 2022-01-26 | 2022-01-26 | Method, device and equipment for correcting impact of knocking force in beating method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210095282.2A CN115047065A (en) | 2022-01-26 | 2022-01-26 | Method, device and equipment for correcting impact of knocking force in beating method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115047065A true CN115047065A (en) | 2022-09-13 |
Family
ID=83157879
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210095282.2A Pending CN115047065A (en) | 2022-01-26 | 2022-01-26 | Method, device and equipment for correcting impact of knocking force in beating method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115047065A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115993401A (en) * | 2023-03-23 | 2023-04-21 | 四川省公路规划勘察设计研究院有限公司 | Calibration system for grouting saturation measuring equipment |
| CN116203131A (en) * | 2023-04-28 | 2023-06-02 | 中国铁建高新装备股份有限公司 | Method and device for detecting tunnel void, electronic equipment and storage medium |
-
2022
- 2022-01-26 CN CN202210095282.2A patent/CN115047065A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115993401A (en) * | 2023-03-23 | 2023-04-21 | 四川省公路规划勘察设计研究院有限公司 | Calibration system for grouting saturation measuring equipment |
| CN115993401B (en) * | 2023-03-23 | 2023-05-30 | 四川省公路规划勘察设计研究院有限公司 | Calibration system for grouting saturation measuring equipment |
| CN116203131A (en) * | 2023-04-28 | 2023-06-02 | 中国铁建高新装备股份有限公司 | Method and device for detecting tunnel void, electronic equipment and storage medium |
| CN116203131B (en) * | 2023-04-28 | 2023-09-15 | 中国铁建高新装备股份有限公司 | Method and device for detecting tunnel void, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115047065A (en) | Method, device and equipment for correcting impact of knocking force in beating method | |
| WO2017202292A1 (en) | Method and device for tracking echo delay | |
| US6366108B2 (en) | System and method for detecting defects within an electrical circuit by analyzing quiescent current | |
| CN108875178B (en) | Sensor arrangement method for reducing structural modal identification uncertainty | |
| CN110265064A (en) | Audio sonic boom detection method, device and storage medium | |
| US20120281846A1 (en) | Audio testing system and method | |
| CN108571997A (en) | A kind of method and apparatus that measured point is steadily contacted in detection probe | |
| WO2022156274A1 (en) | Open-circuit fault detection method and apparatus, and computer device | |
| CN113259832A (en) | Microphone array detection method and device, electronic equipment and storage medium | |
| JP2024524666A (en) | How to pick up shock and vibration sensor signals | |
| CN112927720A (en) | Audio anomaly detection method and device | |
| CN115901943A (en) | Method and system for detecting internal cavity | |
| CN111881800A (en) | Concrete filled steel tube void defect detection method based on AR model and self-service inspection | |
| CN116796669A (en) | Reliability verification method and system for electric power edge computing chip | |
| CN105656453B (en) | A kind of optical fiber current mutual inductor random noise Real-Time Filtering method based on time series | |
| CN115047400A (en) | Method and system for checking accuracy of three-phase electric energy meter, terminal equipment and medium | |
| CN110737922A (en) | hardware Trojan horse detection method based on independent component analysis | |
| CN112834774B (en) | Threshold value self-adaptive rotating speed signal processing system and method thereof | |
| CN118102201B (en) | Bluetooth headset automatic test method and system | |
| CN113674758B (en) | Wind noise judging method and device based on smart phone and electronic equipment | |
| CN117968971B (en) | Gas leakage amount detection method and device and electronic equipment | |
| CN110455922B (en) | K-nearest neighbor method-based anchor rod anchoring quality grade evaluation method | |
| CN112730634A (en) | Concrete defect detection method and system | |
| CN116361142A (en) | Quality detection method, quality detection device, quality detection equipment and storage medium | |
| CN114543975A (en) | Sensitivity calibration circuit, calibration method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |