CN111900985A - Detection signal continuous acquisition method and system based on signal identification - Google Patents
Detection signal continuous acquisition method and system based on signal identification Download PDFInfo
- Publication number
- CN111900985A CN111900985A CN202010775793.XA CN202010775793A CN111900985A CN 111900985 A CN111900985 A CN 111900985A CN 202010775793 A CN202010775793 A CN 202010775793A CN 111900985 A CN111900985 A CN 111900985A
- Authority
- CN
- China
- Prior art keywords
- signal
- detection
- detection signal
- judging whether
- valid
- 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
-
- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M1/00—Analogue/digital conversion; Digital/analogue conversion
- H03M1/12—Analogue/digital converters
- H03M1/124—Sampling or signal conditioning arrangements specially adapted for A/D converters
- H03M1/1245—Details of sampling arrangements or methods
-
- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M1/00—Analogue/digital conversion; Digital/analogue conversion
- H03M1/12—Analogue/digital converters
- H03M1/34—Analogue value compared with reference values
Abstract
The invention discloses a method and a system for continuously acquiring detection signals based on signal identification, wherein the method comprises the steps of acquiring the detection signals uploaded by a detection device, carrying out parameter identification on the detection signals, calculating signal parameters corresponding to the detection signals, judging whether the detection signals are effective signals or not, executing corresponding operation of the effective signals when the detection signals are effective signals, and executing corresponding operation of the ineffective signals when the detection signals are ineffective signals; and judging whether the sampling stopping condition is reached or not, and finishing data acquisition when the sampling stopping condition is reached. The invention realizes the starting and stopping of the AD conversion card without manual point-by-point control in the whole detection process, reduces the interaction process between the operating personnel of the instrument and the personnel controlling the movement of the sensor, and thus achieves the purposes of continuous acquisition and improvement of the detection efficiency.
Description
Technical Field
The invention relates to the technical field of signal acquisition and identification, in particular to a detection signal continuous acquisition method and system based on signal identification.
Background
An AD conversion card (analog-to-digital conversion card) refers to an integrated circuit device that converts an analog quantity (such as voltage) into a digital quantity. Typically, one end is connected to a sensor (including an amplifier circuit, the same applies hereinafter) and the other end is connected to a computer. When the power is supplied to the sensor, the sensor can continuously output an electric signal to the AD conversion card, and when a certain condition is met, the AD conversion card intercepts and sends the acquired signal to a computer, wherein the condition is called as a trigger mode. Generally, there are two main ways to trigger sampling: 1. internal triggering; 2. and (4) external triggering.
The internal trigger may be triggered by a time controller built in the AD conversion card (time control) or by the magnitude of an electric signal input to the sensor (level control). The external trigger is triggered by a certain change of an electric signal of an external circuit connected with the external trigger.
Generally, the internal trigger adopting level control is that after an AD conversion card starts sampling, whether a signal input to the AD conversion card reaches a trigger condition is judged by the AD conversion card or a computer, and when the trigger condition is met, the AD conversion card sends the signal meeting the condition to the computer; external triggering requires special external circuitry, which of course increases hardware costs and, in some high shock situations, the externally triggered circuitry is susceptible to damage. Therefore, most of the time, people prefer to choose the internal triggering mode.
In the field of civil engineering inspection, an inspection apparatus generally comprises the following parts: 1. sensor (including amplifier circuit and signal conditioning circuit) 2, AD conversion card 3, portable computer or other control terminal. Of these, 1 and 2 may be referred to as detection means, and 3 may be referred to as control means. In the actual detection process, the position of the sensor needs to be moved to perform the point-by-point test at most. For example, when an acceleration sensor is used to obtain the acceleration change of a structure, it is usually necessary to perform a point-by-point test in a plurality of test points. In the process, the condition for triggering sampling by the AD card is generally the magnitude of the acceleration sensed by the acceleration sensor, and when the acceleration is greater than a set threshold, the AD conversion card is triggered to start to collect data and send the data to the computer. The acceleration sensor has a large acceleration when impacting the concrete surface, and the AD card can trigger sampling (the signal can be regarded as an invalid signal). Therefore, when the internal trigger is used, when the AD converter card is always in the detection state, if the signal sent by the AD converter card is not filtered, the signal triggered by the AD converter card to be sampled and sent to the computer contains both a valid signal and an invalid signal similar to the situation that the sensor impacts the surface of the structure, which is obviously not beneficial to the detection work.
In order to avoid this situation, the conventional method is to fix the sensor at a certain measuring point on the surface of the structure, then start sampling by clicking in the computer (control the AD converter card to start sampling), then use a vibration source such as a vibration hammer to click on the surface of the structure to make the structure generate vibration with a certain intensity (the signal at this time can be regarded as an effective signal), and when the electrical signal input to the AD converter card by the sensor reaches the trigger condition, the AD converter card will send the signal meeting the condition to the computer. After the vibration data of the current measuring point is collected, the AD conversion card stops detecting signals, then the detecting personnel moves the sensor to the next measuring point, and the operation is repeated. Such a data acquisition process of artificially controlling the AD conversion card point by point may be referred to as "single point acquisition". This, of course, results in interaction between the operator of the instrument and the person controlling the movement of the sensor during the test, resulting in inefficient testing.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a detection signal continuous acquisition method and system based on signal identification.
In order to achieve the purpose of the invention, the invention adopts the technical scheme that:
a detection signal continuous acquisition method based on signal identification comprises the following steps:
s1, acquiring detection data uploaded by the detection device;
s2, carrying out parameter identification on the detection signal, and calculating a signal parameter corresponding to the detection signal;
s3, comparing the signal parameters with preset parameter thresholds, and judging whether the detection signal is an effective signal; if the detection signal is a valid signal, executing the operation corresponding to the valid signal; if the detection signal is an invalid signal, executing the operation corresponding to the invalid signal;
s4, judging whether the sampling stop condition is met; if yes, ending data acquisition; otherwise, the process returns to step S1.
Preferably, the signal parameters for performing parameter identification on the detection signal in step S2 include, but are not limited to, one or more of the following parameters:
the maximum value of the waveform amplitude of the detection signal, the absolute value of the ratio of the minimum value to the maximum value in the waveform data of the detection signal, the signal-to-noise ratio of the detection signal, the maximum value of the frequency of the detection signal, the head wave direction of the detection signal and the attenuation of the detection signal.
Preferably, the method for determining whether the detection signal is a valid signal in step S3 includes, but is not limited to, one or more combinations of the following steps:
judging whether the maximum value of the waveform amplitude of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the absolute value of the ratio of the minimum value to the maximum value in the waveform data of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the signal-to-noise ratio of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the maximum frequency value of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the head wave direction of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the attenuation of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise the detection signal is an invalid signal.
Based on the method, the invention also provides a detection signal continuous acquisition system based on signal identification, which comprises a detection device and a control device;
the detection device is used for receiving a starting instruction sent by the control device and starting to detect an externally input signal according to the starting instruction; meanwhile, whether the detection signal reaches the trigger condition is judged, when the trigger condition is reached, the detection signal is transmitted to the control device, and when the trigger condition is not reached, the signal is continuously detected; receiving a stop instruction sent by the receiving control device, and stopping collecting the detection signal according to the stop instruction;
the control device is used for sending a starting instruction to the detection device, performing parameter identification on the detection signal and calculating a signal parameter corresponding to the detection signal; comparing the signal parameters with preset parameter thresholds, and judging whether the detection signal is an effective signal; performing a valid signal corresponding operation when the detection signal is a valid signal, and performing an invalid signal corresponding operation when the detection signal is an invalid signal; and judging whether the sampling stopping condition is reached or not, sending a stopping instruction to the detection device when the sampling stopping condition is reached, and sending a starting instruction to the detection device when the sampling stopping condition is not reached.
Preferably, the signal parameters for the parameter identification of the detection signal by the control device include, but are not limited to, one or more of the following parameters:
the maximum value of the waveform amplitude of the detection signal, the absolute value of the ratio of the minimum value to the maximum value in the waveform data of the detection signal, the signal-to-noise ratio of the detection signal, the maximum value of the frequency of the detection signal, the head wave direction of the detection signal and the attenuation of the detection signal.
Preferably, the control device determines whether the detection signal is a valid signal, including but not limited to one or more of the following steps:
judging whether the maximum value of the waveform amplitude of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the absolute value of the ratio of the minimum value to the maximum value in the waveform data of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the signal-to-noise ratio of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the maximum frequency value of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the head wave direction of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the attenuation of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise the detection signal is an invalid signal.
The invention has the following beneficial effects:
the invention eliminates the collected invalid signals by carrying out parameter identification on the detection signals and only retains the required valid signals, so that the starting and stopping of the AD conversion card do not need to be controlled point by point manually in the whole detection process, the interaction process between an operator of the instrument and a person controlling the movement of the sensor is reduced, and the aims of continuous collection and improvement of the detection efficiency are fulfilled.
Drawings
FIG. 1 is a schematic flow chart of a method for continuously collecting detection signals based on signal identification according to the present invention;
FIG. 2 is a schematic diagram of a signal identification process according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an invalid signal triggered during movement of a sensor according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of effective signals of the vibration hammer striking the concrete surface according to the embodiment of the invention;
fig. 5 is a schematic diagram of a signal identification process in grouting location detection according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate the understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and it will be apparent to those skilled in the art that various changes may be made without departing from the spirit and scope of the invention as defined and defined in the appended claims, and all matters produced by the invention using the inventive concept are protected.
In order to solve the problem that the detection efficiency is low due to the fact that interaction is needed between an operator of an instrument and a person controlling the movement of a sensor in the traditional detection method in the field of civil engineering detection, the invention discovers that the effective signal and the invalid signal have certain difference in parameters such as the maximum value of the waveform amplitude of the signal, the signal-to-noise ratio of the signal, the frequency distribution and the like by analyzing and comparing the effective signal and the invalid signal collected by the sensor from the angle of signal identification. Therefore, the invention creatively provides a method for eliminating invalid signals by carrying out signal identification in a computer, so that the starting and stopping of the AD conversion card are not required to be controlled point by point manually during detection, the interaction process between an operator of an instrument and a person controlling the movement of a sensor is reduced, and the aims of 'continuous acquisition' and improving the detection efficiency are fulfilled.
As shown in fig. 1, an embodiment of the present invention provides a method for continuously acquiring a detection signal based on signal identification, including the following steps S1 to S4:
s1, acquiring detection data uploaded by the detection device;
in this embodiment, the present invention is described by taking a detection system composed of an AD conversion card and a computer as an example. When the detection signals are continuously collected, a computer is used for sending a starting instruction to the AD conversion card, the AD conversion card is started to start to detect signals input from the outside, and the sensor acquires the relevant physical quantity signals to be detected and inputs the signals into the AD conversion card to finish detection signal detection.
The invention judges whether the detected signal reaches the preset trigger condition by using the AD conversion card, wherein the trigger condition can be set to be triggered by the size of the electric signal of the physical quantity acquired by the sensor.
When the detected signal reaches the trigger condition, converting the detected signal into a detection signal by using an AD conversion card and uploading the detection signal to a computer;
when the detected signal does not reach the trigger condition, the AD conversion card does not transmit the detection signal and continues to detect.
The AD conversion card judges whether the signal reaches a trigger condition, converts the signal into detection data and uploads the detection data to the control device when the trigger condition is reached, and continues to detect the signal when the trigger condition is not reached.
S2, carrying out parameter identification on the detection signal, and calculating a signal parameter corresponding to the detection signal;
in this embodiment, the present invention performs parameter identification on the acquired detection signal by using a computer, and calculates a signal parameter corresponding to the detection signal.
The signal parameters include, but are not limited to, one or more combinations of the following parameters:
the maximum value of the waveform amplitude of the detection signal, the absolute value of the ratio of the minimum value to the maximum value in the waveform data of the detection signal, the signal-to-noise ratio of the detection signal, the maximum value of the frequency of the detection signal, the head wave direction of the detection signal and the attenuation of the detection signal.
S3, comparing the signal parameters with preset parameter thresholds, and judging whether the detection signal is an effective signal; if the detection signal is a valid signal, executing the operation corresponding to the valid signal; if the detection signal is an invalid signal, executing the operation corresponding to the invalid signal;
in the present embodiment, the valid signal and the invalid signal referred to in the present invention are terms for distinguishing the signal required for the detection operation from other signals; the valid signal means a signal advantageous to the detection work in practical use, and the invalid signal means a signal disadvantageous to the detection work. According to the invention, one or more of the detection parameters can be selected to be compared with each preset parameter threshold value according to actual needs, and whether the detection signal is an effective signal or not is judged; when one or more parameters in the parameters do not meet the set threshold value, judging that the signal belongs to an invalid signal; otherwise, it is a valid signal.
The method for determining whether the detection signal is a valid signal includes, but is not limited to, one or more combinations of the following steps:
judging whether the maximum value of the waveform amplitude of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
the invention judges the data of N points in the detection signal, wherein the preset condition can be set that the maximum value of the waveform amplitude of the detection signal is smaller than the set waveform amplitude threshold.
Judging whether the absolute value of the ratio of the minimum value to the maximum value in the waveform data of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
wherein the preset condition may be set such that an absolute value of a ratio of a minimum value to a maximum value in the waveform data of the detection signal is within a set ratio threshold range.
Judging whether the signal-to-noise ratio of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
wherein the preset condition may be that the signal-to-noise ratio of the detection signal is greater than a set signal-to-noise ratio threshold.
Judging whether the maximum frequency value of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
wherein the preset condition may be that the maximum value of the frequency of the detection signal is smaller than a set frequency threshold.
Judging whether the head wave direction of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
the preset condition may be set to detect whether the head wave direction of the signal is a set direction, that is, the head wave direction is positive or negative.
Judging whether the attenuation of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
wherein the preset condition may be that the attenuation of the detection signal is greater than a set attenuation threshold.
As shown in fig. 2, the present invention uses the combination of the above detection parameters as an example to determine whether the detection signal is a valid signal; if the detection signal is a valid signal, executing the operation corresponding to the valid signal; if the detection signal is an invalid signal, the operation corresponding to the invalid signal is executed.
The operation corresponding to the valid signal and the operation corresponding to the invalid signal are processing operations which are set for a computer by people and aim at different signal types; for example, when the detection signal is judged to be a valid signal, the detection signal is displayed and stored by a computer; and when the detection signal is judged to be an invalid signal, deleting corresponding data and the like from the computer memory by using the computer.
S4, judging whether the sampling stop condition is met; if yes, ending data acquisition; otherwise, the process returns to step S1.
In this embodiment, the present invention determines whether the sampling process reaches a preset sampling stop condition by using a computer, where the sampling stop condition may be set to a maximum sampling number or a maximum sampling period.
When the sampling process reaches the condition of stopping sampling, the computer is used for sending a stopping instruction to the AD conversion card and controlling the AD conversion card to stop detecting signals;
and when the sampling process does not reach the condition of stopping sampling, sending a starting instruction to the AD conversion card by using the computer, and controlling the AD conversion card to continue detecting signals.
The method of the present invention will be described below by taking the quality inspection of the prestressed structural bridge as an example.
In the prestressed structure bridge, the grouting compactness of the prestressed duct directly influences the safety and the service life of the bridge. At present, impact elastic waves are mainly used for detecting the grouting compactness of the prestressed duct. During detection, the acceleration sensor is required to be used for exciting and receiving the projection position of the prestressed duct on the surface of the concrete point by point.
The sensor also causes the AD conversion card to trigger sampling when impacting the concrete surface during moving. Therefore, conventionally, after a sensor is placed on a concrete surface, an AD converter card is controlled by a computer to start detecting signals, when a vibration hammer strikes the concrete surface with a certain force, the concrete surface vibrates and drives an acceleration sensor to vibrate simultaneously, the acceleration sensor transmits a changed electrical signal caused by the vibration to the AD converter card, and when a signal input to the AD converter card reaches a trigger level preset by the AD converter card, the AD converter card transmits a signal meeting a trigger condition to the computer and stops detecting. After receiving the signal, the computer displays and stores the signal. When the process is finished, the computer operator informs a person moving the sensor that the detection data acquisition of the current measuring point is finished, and the sensor needs to be moved to the next measuring point; after receiving the instruction again, the personnel moving the sensor move the sensor to the next test point and fix the sensor, and after the sensor is fixed, the personnel operating the computer is informed of starting to collect data. The above operation is then repeated. This means that the "tap-change-good, and-dialogue sounds" are often heard during the test.
The invention is characterized in that a person operating a computer controls an AD conversion card to start detecting signals through the computer, the person moving the sensor fixes the sensor on the surface of the concrete, then determines when to knock, automatically determines when to move the sensor to the next position after knocking is finished, and then repeats the above processes. In the whole detection process, the computer automatically judges the signals input into the computer by the AD card, and does not need to manually control the AD card to stop detecting data when the sensor is moved, as shown in figure 5, effective signals generated by excitation are distinguished, and other signals triggered by mistake are removed, so that the test flow is greatly simplified. As shown in fig. 3 and 4, the waveform parameters of the effective signal and the ineffective signal have a significant difference, and thus, the efficiency of checking the grouting compactness of the prestressed duct can be greatly improved. Through actual measurement, the detection speed can be doubled by adopting the mode.
Based on the continuous acquisition method of the detection signals, the embodiment of the invention also provides a continuous acquisition system of the detection signals based on signal identification, which comprises a detection device and a control device;
the detection device is used for receiving a starting instruction sent by the control device and acquiring a detection signal according to the starting instruction; meanwhile, whether the detection signal reaches a trigger condition is judged, when the detection signal reaches the trigger condition, the detection signal is transmitted to the control device, and when the detection signal does not reach the trigger condition, the detection signal is continuously acquired; receiving a stop instruction sent by the receiving control device, and stopping collecting the detection signal according to the stop instruction;
the control device is used for sending a starting instruction to the detection device, carrying out parameter identification on the detection signal, judging whether the detection signal is an effective signal or not, displaying and storing the detection signal when the detection signal is the effective signal, judging whether a sampling stopping condition is reached or not, sending the stopping instruction to the detection device when the sampling stopping condition is reached, and sending the starting instruction to the detection device when the sampling stopping condition is not reached.
In particular, in order to facilitate the successful development of the detection work, the invention can optionally combine one or any parts of the detection device and the control device in the system into a whole, and the division of the physical or spatial position does not influence the division of the system.
The control device is realized by a computer, and particularly relates to a device with an operation function, which comprises a notebook computer, an ultrathin computer, a smart phone and the like; the detection device mainly comprises a sensor, a conditioning circuit, an AD conversion card and the like.
The signal parameters for the control device to perform parameter identification on the detection signal include, but are not limited to, one or more of the following parameters:
the maximum value of the waveform amplitude of the detection signal, the absolute value of the ratio of the minimum value to the maximum value in the waveform data of the detection signal, the signal-to-noise ratio of the detection signal, the maximum value of the frequency of the detection signal, the head wave direction of the detection signal and the attenuation of the detection signal.
The control device determines whether the detection signal is a valid signal, including but not limited to one or more of the following steps:
judging whether the maximum value of the waveform amplitude of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the absolute value of the ratio of the minimum value to the maximum value in the waveform data of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the signal-to-noise ratio of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the maximum frequency value of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the head wave direction of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the attenuation of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise the detection signal is an invalid signal.
The invention uses the control device to distinguish the data sent by the detection device and identify the validity of the data, thereby achieving the automatic storage of valid signals and the elimination of invalid signals and improving the detection efficiency.
It will be appreciated by those of ordinary skill in the art that the embodiments described herein are intended to assist the reader in understanding the principles of the invention and are to be construed as being without limitation to such specifically recited embodiments and examples. Those skilled in the art can make various other specific changes and combinations based on the teachings of the present invention without departing from the spirit of the invention, and these changes and combinations are within the scope of the invention.
Claims (6)
1. A detection signal continuous acquisition method based on signal identification is characterized by comprising the following steps:
s1, acquiring a detection signal uploaded by the detection device;
s2, carrying out parameter identification on the detection signal, and calculating a signal parameter corresponding to the detection signal;
s3, comparing the signal parameters with preset parameter thresholds, and judging whether the detection signal is an effective signal; if the detection signal is a valid signal, executing the operation corresponding to the valid signal; if the detection signal is an invalid signal, executing the operation corresponding to the invalid signal;
s4, judging whether the sampling stop condition is met; if yes, ending data acquisition; otherwise, the process returns to step S1.
2. The method for continuously collecting detection signals based on signal identification as claimed in claim 1, wherein the signal parameters for performing parameter identification on the detection signals in step S2 include but are not limited to one or more of the following parameters:
the maximum value of the waveform amplitude of the detection signal, the absolute value of the ratio of the minimum value to the maximum value in the waveform data of the detection signal, the signal-to-noise ratio of the detection signal, the maximum value of the frequency of the detection signal, the head wave direction of the detection signal and the attenuation of the detection signal.
3. The method for continuously collecting detection signals based on signal identification as claimed in claim 1 or 2, wherein the method for determining whether the detection signals are valid signals in step S3 includes but is not limited to one or more of the following steps:
judging whether the maximum value of the waveform amplitude of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the absolute value of the ratio of the minimum value to the maximum value in the waveform data of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the signal-to-noise ratio of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the maximum frequency value of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the head wave direction of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the attenuation of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise the detection signal is an invalid signal.
4. A detection signal continuous acquisition system based on signal identification is characterized by comprising a detection device and a control device;
the detection device is used for receiving a starting instruction sent by the control device and starting to detect an externally input signal according to the starting instruction; meanwhile, judging whether the detected signal reaches a trigger condition, converting the detected signal into a detection signal and transmitting the detection signal to the control device when the trigger condition is reached, and continuing to detect the signal when the trigger condition is not reached; receiving a stop instruction sent by the control device, and stopping the detection signal according to the stop instruction;
the control device is used for sending a starting instruction to the detection device, performing parameter identification on the detection signal and calculating a signal parameter corresponding to the detection signal; comparing the signal parameters with preset parameter thresholds, and judging whether the detection signal is an effective signal; performing a valid signal corresponding operation when the detection signal is a valid signal, and performing an invalid signal corresponding operation when the detection signal is an invalid signal; and judging whether the sampling stopping condition is reached or not, sending a stopping instruction to the detection device when the sampling stopping condition is reached, and sending a starting instruction to the detection device when the sampling stopping condition is not reached.
5. The system for continuous acquisition of detection signals based on signal identification as claimed in claim 4, wherein the signal parameters for parameter identification of the detection signals by the control device include but are not limited to one or more of the following parameters:
the maximum value of the waveform amplitude of the detection signal, the absolute value of the ratio of the minimum value to the maximum value in the waveform data of the detection signal, the signal-to-noise ratio of the detection signal, the maximum value of the frequency of the detection signal, the head wave direction of the detection signal and the attenuation of the detection signal.
6. The system for continuously collecting detection signals based on signal identification as claimed in claim 5, wherein the control device determines whether the detection signal is a valid signal or not includes but is not limited to one or more of the following steps:
judging whether the maximum value of the waveform amplitude of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the absolute value of the ratio of the minimum value to the maximum value in the waveform data of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the signal-to-noise ratio of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the maximum frequency value of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the head wave direction of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise, the detection signal is an invalid signal;
judging whether the attenuation of the detection signal meets a preset condition or not; if yes, detecting the signal as a valid signal; otherwise the detection signal is an invalid signal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010775793.XA CN111900985A (en) | 2020-08-05 | 2020-08-05 | Detection signal continuous acquisition method and system based on signal identification |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010775793.XA CN111900985A (en) | 2020-08-05 | 2020-08-05 | Detection signal continuous acquisition method and system based on signal identification |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111900985A true CN111900985A (en) | 2020-11-06 |
Family
ID=73245642
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010775793.XA Pending CN111900985A (en) | 2020-08-05 | 2020-08-05 | Detection signal continuous acquisition method and system based on signal identification |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111900985A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022198549A1 (en) * | 2021-03-25 | 2022-09-29 | 海能达通信股份有限公司 | Channel scanning method and apparatus, device, and storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104777473A (en) * | 2015-03-19 | 2015-07-15 | 柳州市华航电器有限公司 | Detection method for ultrasonic sensor |
| CN108802459A (en) * | 2018-06-04 | 2018-11-13 | 北京交通大学 | A kind of oscillograph Auto-Test System and method |
| CN110244625A (en) * | 2019-06-21 | 2019-09-17 | 一汽解放汽车有限公司 | A kind of signal measurement method based on electronic control unit |
-
2020
- 2020-08-05 CN CN202010775793.XA patent/CN111900985A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104777473A (en) * | 2015-03-19 | 2015-07-15 | 柳州市华航电器有限公司 | Detection method for ultrasonic sensor |
| CN108802459A (en) * | 2018-06-04 | 2018-11-13 | 北京交通大学 | A kind of oscillograph Auto-Test System and method |
| CN110244625A (en) * | 2019-06-21 | 2019-09-17 | 一汽解放汽车有限公司 | A kind of signal measurement method based on electronic control unit |
Non-Patent Citations (1)
| Title |
|---|
| 广西电力工业局高级工培训教材编委会: "《结构混凝土现场检测新技术——混凝土非破损检测（第二版）》", 中国水利水电出版社 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022198549A1 (en) * | 2021-03-25 | 2022-09-29 | 海能达通信股份有限公司 | Channel scanning method and apparatus, device, and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CA1293559C (en) | Method and apparatus for testing timbers for disconformity or decay | |
| JP4377542B2 (en) | Internal partial discharge monitoring device for high voltage equipment | |
| US6880403B1 (en) | Structure inspection device | |
| CN108375413B (en) | Fault collection for detecting vibration data | |
| CN106813993B (en) | Fatigue test component state monitoring method based on sound-ultrasound and sound emission technology | |
| CN204154684U (en) | Bridge prestress pipeline compactness of grouting detector | |
| CN111487315A (en) | Audio frequency nondestructive testing method for tunnel lining thickness and void | |
| CN115773103B (en) | Ultrasonic real-time imaging acquisition control system for pressure-induced cracking | |
| CN111900985A (en) | Detection signal continuous acquisition method and system based on signal identification | |
| CN102004267A (en) | Precision measurement system and method of seismic detector | |
| CN104142176A (en) | Air conditioner vibration detecting device | |
| CN203396752U (en) | Magnetizer probe detection system for nondestructive bridge sling anchor cable body guided wave testing | |
| CN112998759A (en) | Tissue elasticity detection method, device and system | |
| KR102040492B1 (en) | Apparatus and Method for Defect Using Acoustic Emission Testing | |
| CN104977466B (en) | A kind of test method, system and its equipment of stepping motor pulses frequency | |
| CN107121657A (en) | A kind of integrated live testing apparatus for local discharge check system and method | |
| CN100478817C (en) | Method and device capable of remotely real-time monitoring vibratory stress relief process | |
| CN115219601A (en) | Tunnel secondary lining void detection system and method | |
| CN109342057A (en) | A kind of transmission parts test macro with high-speed data acquisition function | |
| JPH0980033A (en) | Judgment method for exfoliation of wall tile from building | |
| CN203241387U (en) | Magnetostriction guide wave detecting device for bridge cable rope | |
| CN111088976A (en) | System and method for monitoring efficiency of oil pumping unit | |
| CN115855754A (en) | System and method for online monitoring of latent metal particles in GIS (gas insulated switchgear) related to action state of circuit breaker | |
| JP2002014122A (en) | Signal analyzer, and method of displaying marker | |
| CN201056582Y (en) | Device for remote and real-time monitoring vibration aging process |
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 |