阅读说明：本技术 激励频率的确定方法、装置和系统 (Excitation frequency determination method, device and system ) 是由 阚伟 梁术清 郝晓辉 于 2020-12-31 设计创作，主要内容包括：本发明公开了一种激励频率的确定方法、装置和系统。其中,该方法包括：获取待测管道的管道信息以及待测管道所处环境的环境信息；基于预设模型对管道信息和环境信息进行处理,得到待测管道的激励频率,其中,预设模型为基于历史管道信息、历史环境信息以及历史激励频率之间的关系构建的模型。本发明解决了现有技术无法准确确定激励频率的技术问题。(The invention discloses a method, a device and a system for determining excitation frequency. Wherein, the method comprises the following steps: acquiring pipeline information of a pipeline to be detected and environment information of the environment where the pipeline to be detected is located; and processing the pipeline information and the environmental information based on a preset model to obtain the excitation frequency of the pipeline to be tested, wherein the preset model is a model constructed based on the historical pipeline information, the historical environmental information and the relation among the historical excitation frequencies. The invention solves the technical problem that the excitation frequency cannot be accurately determined in the prior art.)

1. A method for determining an excitation frequency, comprising:

acquiring pipeline information of a pipeline to be detected and environment information of the environment where the pipeline to be detected is located;

and processing the pipeline information and the environment information based on a preset model to obtain the excitation frequency of the pipeline to be tested, wherein the preset model is a model constructed based on the relation among the historical pipeline information, the historical environment information and the historical excitation frequency.

2. The method of claim 1, wherein the pipe information comprises at least one of: the physical parameters and the working condition information of the pipeline to be tested, and the environment information at least comprises one of the following information: topographic and geomorphic information, meteorological information, hydrological information.

3. The method of claim 1, wherein after the processing the pipe information and the environment information based on a preset model to obtain an excitation frequency of the pipe to be tested, the method further comprises:

and sending the excitation frequency to a strain gauge acquisition device so that the strain gauge acquisition device outputs the excitation frequency and acquires a frequency signal of the to-be-detected pipeline when the to-be-detected pipeline resonates under the excitation frequency, wherein the frequency signal is used for determining the tension of the to-be-detected pipeline.

4. The method of claim 3, wherein after transmitting the excitation frequency to a strain gauge acquisition device, the method further comprises:

acquiring the frequency signal, the pipeline information and the environment information which are acquired by the strain gauge acquisition device;

and correcting the preset model based on the frequency signal, the pipeline information and the environment information to obtain a corrected preset model.

5. The method of claim 3, wherein after acquiring the frequency signal at which the pipe under test resonates at the excitation frequency, the method further comprises:

detecting whether the frequency signal is abnormal or not;

and under the condition that the frequency signal is abnormal, controlling the strain gauge acquisition device to widen a scanning frequency range by taking the excitation frequency as a center, and determining the frequency for enabling the pipeline to be detected to resonate according to the scanning frequency range.

6. A system for determining an excitation frequency, comprising:

the central server is used for acquiring pipeline information of a pipeline to be tested and environment information of the environment where the pipeline to be tested is located, processing the pipeline information and the environment information based on a preset model to obtain excitation frequency of the pipeline to be tested, and sending the excitation frequency to the strain gauge acquisition device, wherein the preset model is a model constructed based on the relation among historical pipeline information, historical environment information and historical excitation rate;

the strain gauge acquisition device is used for acquiring a frequency signal of the to-be-measured pipeline when the to-be-measured pipeline resonates under the excitation frequency and determining the tension of the to-be-measured pipeline according to the frequency signal.

7. The system of claim 6, wherein the strain gauge acquisition device is further configured to widen a scanning frequency range centered on the excitation frequency in the case of an abnormality in the frequency signal, and acquire a frequency for resonating the pipe to be measured according to the scanning frequency range.

8. An apparatus for determining an excitation frequency, comprising:

the acquisition module is used for acquiring the pipeline information of the pipeline to be detected and the environment information of the environment where the pipeline to be detected is located;

and the determining module is used for processing the pipeline information and the environment information based on a preset model to obtain the excitation frequency of the pipeline to be detected, wherein the preset model is a model constructed based on the relation among the historical pipeline information, the historical environment information and the historical excitation rate.

9. A non-volatile storage medium, in which a computer program is stored, wherein the computer program is arranged to execute the method of determining an excitation frequency as claimed in any one of claims 1 to 5 when running.

10. A processor, characterized in that the processor is configured to run a program, wherein the program is configured to perform the method of determining an excitation frequency as claimed in any one of claims 1 to 5 when running.

Technical Field

The invention relates to the field of automatic control, in particular to a method, a device and a system for determining excitation frequency.

Background

In the prior art, a worker can enable a steel string to resonate through the excitation of an electromagnetic coil of a strain gauge, and then the tension borne by the steel string is calculated according to a frequency signal when the steel string resonates.

In the prior art, the following method is generally adopted to make the steel string resonate:

(1) and (3) sweep frequency excitation method. In the sweep frequency excitation method, a series of continuously changing frequency signals are output by a strain gauge to excite a steel string, and when the frequency of the frequency signals is close to the natural frequency of the steel string, the steel string can quickly reach a resonance state, so that reliable vibration starting is realized. After the steel wire is vibrated, the frequency of the induced electromotive force generated by the steel wire in the coil is the natural frequency of the steel wire. However, in this method, the natural frequency of the steel string is not known in advance, and it is usually necessary to continuously output a frequency signal from the lower limit to the upper limit of the low frequency of the sensor, which takes a long time, and the signal generated by the sensor has a very short time, and there is a possibility that the steel string is excited, the frequency sweep is not completed, and when the frequency sweep is completed and the signal is measured, the steel string may have stopped vibrating, and the measurement time is difficult to determine.

(2) The current method. In the current method, when the steel string is excited, the steel string of the vibrating string strain gauge passes through current, the steel string with the current is acted by Lorentz force in a magnetic field, the Lorentz force enables the steel string to vibrate at the natural frequency of the steel string, and meanwhile, signals generated by vibration can be fed back to the steel string again through a feedback circuit, so that the steel string can continuously vibrate. However, in this method, the wire of the vibrating wire strain gauge needs to pass through a current, and the wire is heated by long-time energization, so that the wire is easily degraded, and the material characteristics are changed to affect the measurement accuracy.

(3) Intermittent excitation method. In the intermittent excitation method, the relay is controlled to be attracted through a series of square wave signals. When the relay is closed, the coil of the sensor is connected with the power supply, the electromagnet in the coil generates magnetic force, and the magnetic force pulls the steel string to the coil and attracts the steel string; when the relay is powered off, the current disappears, and the coil releases the steel string. Through the pulling and releasing, the vibration of the steel string is realized. However, the circuit design corresponding to the method is complex, and an electromagnetic relay with a large volume is used, and meanwhile, the relay also has the defects of large power consumption, poor working reliability of mechanical contacts and short service life.

In view of the above problems, no effective solution has been proposed.

Disclosure of Invention

The embodiment of the invention provides a method, a device and a system for determining an excitation frequency, which are used for at least solving the technical problem that the excitation frequency cannot be determined accurately in the prior art.

According to an aspect of an embodiment of the present invention, there is provided a method for determining an excitation frequency, including: acquiring pipeline information of a pipeline to be detected and environment information of the environment where the pipeline to be detected is located; and processing the pipeline information and the environmental information based on a preset model to obtain the excitation frequency of the pipeline to be tested, wherein the preset model is a model constructed based on the historical pipeline information, the historical environmental information and the relation among the historical excitation frequencies.

Further, the pipe information includes at least one of: the physical parameters and the working condition information of the pipeline to be measured, and the environmental information at least comprises one of the following information: topographic and geomorphic information, meteorological information, hydrological information.

Further, the method for determining the excitation frequency further comprises: after the pipeline information and the environment information are processed based on the preset model to obtain the excitation frequency of the pipeline to be tested, the excitation frequency is sent to the strain gauge acquisition device so that the strain gauge acquisition device outputs the excitation frequency, and a frequency signal of the pipeline to be tested is acquired when the pipeline to be tested resonates under the excitation frequency, wherein the frequency signal is used for determining the tension of the pipeline to be tested.

Further, the method for determining the excitation frequency further comprises: after the excitation frequency is sent to the strain gauge acquisition device, acquiring a frequency signal, pipeline information and environmental information acquired by the strain gauge acquisition device; and correcting the preset model based on the frequency signal, the pipeline information and the environment information to obtain the corrected preset model.

Further, the method for determining the excitation frequency further comprises: after collecting a frequency signal of a pipeline to be detected when the pipeline resonates under an excitation frequency, detecting whether the frequency signal is abnormal or not; and under the condition that the frequency signal is abnormal, controlling the strain gauge acquisition device to widen the scanning frequency range by taking the excitation frequency as a center, and determining the frequency for enabling the pipeline to be detected to resonate according to the scanning frequency range.

According to another aspect of the embodiments of the present invention, there is also provided an excitation frequency determination system, including: the central server is used for acquiring the pipeline information of the pipeline to be tested and the environment information of the environment where the pipeline to be tested is located, processing the pipeline information and the environment information based on a preset model to obtain the excitation frequency of the pipeline to be tested, and sending the excitation frequency to the strain gauge acquisition device, wherein the preset model is a model constructed based on the relation among historical pipeline information, historical environment information and historical excitation rate; and the strain gauge acquisition device is used for acquiring a frequency signal of the to-be-detected pipeline when the to-be-detected pipeline resonates under the excitation frequency and determining the tension of the to-be-detected pipeline according to the frequency signal.

Furthermore, the strain gauge acquisition device is also used for widening the scanning frequency range by taking the excitation frequency as the center under the condition that the frequency signal is abnormal, and acquiring the frequency for enabling the pipeline to be detected to resonate according to the scanning frequency range.

According to another aspect of the embodiments of the present invention, there is also provided an apparatus for determining an excitation frequency, including: the acquisition module is used for acquiring the pipeline information of the pipeline to be detected and the environment information of the environment where the pipeline to be detected is located; and the determining module is used for processing the pipeline information and the environment information based on a preset model to obtain the excitation frequency of the pipeline to be detected, wherein the preset model is a model constructed based on the relation among the historical pipeline information, the historical environment information and the historical excitation rate.

According to another aspect of the embodiments of the present invention, there is also provided a non-volatile storage medium having a computer program stored therein, wherein the computer program is configured to execute the above-mentioned determination method of excitation frequency when running.

According to another aspect of embodiments of the present invention, there is also provided a processor for executing a program, wherein the program is arranged to execute the method for determining an excitation frequency as described above when executed.

In the embodiment of the invention, a big data analysis strategy is adopted to determine the excitation frequency of the pipeline to be tested, after the pipeline information of the pipeline to be tested and the environment information of the environment where the pipeline to be tested is located are obtained, the pipeline information and the environment information are processed based on a preset model, and the excitation frequency of the pipeline to be tested is obtained, wherein the preset model is a model constructed based on the relation among historical pipeline information, historical environment information and historical excitation frequency.

In the process, based on a big data analysis strategy, the influence of the pipeline information and the environmental information of the pipeline to be measured on the excitation frequency is considered, so that the determined excitation frequency is more accurate and reliable, the pipeline to be measured is easier to generate resonance under the excitation of the excitation frequency, and the efficiency of measuring the tension of the pipeline to be measured is improved.

Therefore, the scheme provided by the application achieves the purpose of rapidly determining the excitation frequency of the pipeline to be measured, the technical effect of improving the tension measurement efficiency of the pipeline to be measured is achieved, and the technical problem that the excitation frequency cannot be accurately determined in the prior art is solved.

Drawings

The accompanying drawings, which are included to provide a further understanding 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 invention without limiting the invention. In the drawings:

FIG. 1 is a flow chart of a method for determining an excitation frequency according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of an alternative excitation frequency determination method according to an embodiment of the invention;

FIG. 3 is a schematic illustration of an alternative single coil vibrating wire strain gauge for measuring tension in accordance with an embodiment of the present invention;

FIG. 4 is a side view of an alternative solenoid in accordance with an embodiment of the present invention;

FIG. 5 is a top view of an alternative solenoid in accordance with an embodiment of the present invention;

FIG. 6 is a schematic diagram of an excitation frequency determination system according to an embodiment of the present invention;

fig. 7 is a schematic diagram of an excitation frequency determination apparatus according to an embodiment of the present invention.

Detailed Description

In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example 1

In accordance with an embodiment of the present invention, there is provided an excitation frequency determination method embodiment, it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.

Fig. 1 is a flow chart of a method for determining an excitation frequency according to an embodiment of the present invention, as shown in fig. 1, the method including the steps of:

step S102, acquiring the pipeline information of the pipeline to be detected and the environment information of the environment where the pipeline to be detected is located.

Optionally, the pipeline to be tested is a long-distance natural gas pipeline. The pipeline information and the environment information of the pipeline to be detected can be obtained by detecting corresponding detection equipment, and are input into a preset model of the central server by a user, and the preset model of the central server analyzes the pipeline information of the pipeline to be detected and the environment information of the environment where the pipeline to be detected is located, so that the excitation frequency corresponding to the pipeline to be detected is determined.

In step S102, the pipe information includes at least one of: physical parameters and working condition information of the pipeline to be tested, wherein the physical parameters of the pipeline to be tested include but are not limited to material, wall thickness, length, Poisson's ratio, elastic modulus and the like of the pipeline to be tested; the working condition information of the pipeline to be tested comprises real-time working conditions and historical working conditions, for example, peak time periods of gas consumption in one day or gas consumption flow trend of each quarter, and the like, and the working condition information of the pipeline to be tested is related to the flow and the internal pressure of a medium in the pipeline, so that the resonant frequency value of the steel wire of the vibrating wire strain gauge is influenced. The environmental information of the environment where the pipeline to be tested is located at least comprises one of the following information: topographic and geomorphic information, meteorological information, hydrological information. For example, the change of the riverbed, the soil loss and other conditions possibly caused by the annual flood season can cause the change of the external stress strain of the pipeline to be tested, thereby influencing the resonant frequency value of the steel string of the vibrating string strain gauge.

And step S104, processing the pipeline information and the environment information based on a preset model to obtain the excitation frequency of the pipeline to be detected, wherein the preset model is a model constructed based on the relation among the historical pipeline information, the historical environment information and the historical excitation frequency.

Optionally, fig. 2 shows a schematic diagram of a method for determining an optional excitation frequency, and as can be seen from fig. 2, when physical parameters, environmental information, real-time conditions, historical conditions, and historical acquisition values of a strain gauge acquisition device of a pipeline to be measured are input into a preset model, the preset model can output an optimal excitation frequency for exciting the pipeline to be measured, and the excitation frequency can rapidly enable the pipeline to be measured to resonate. Moreover, the influence of environmental factors and the working condition of the pipeline to be measured on the excitation frequency is considered by the preset model, so that the obtained excitation frequency can quickly enable the pipeline to be measured to resonate, and further the tension measurement efficiency of the pipeline to be measured is improved.

Based on the schemes defined in steps S102 to S104, it can be known that, in the embodiment of the present invention, a manner of determining the excitation frequency of the pipeline to be tested is adopted, and after the pipeline information of the pipeline to be tested and the environmental information of the environment where the pipeline to be tested is located are obtained, the pipeline information and the environmental information are processed based on a preset model, so as to obtain the excitation frequency of the pipeline to be tested, where the preset model is a model constructed based on the relationship among the historical pipeline information, the historical environmental information, and the historical excitation frequency.

It is easy to notice that, in the above process, based on the big data analysis strategy, the influence of the pipeline information and the environmental information of the pipeline to be measured on the excitation frequency is considered, so that the determined excitation frequency is more accurate and reliable, the pipeline to be measured is excited by the excitation frequency to generate resonance more easily, and the efficiency of measuring the tension of the pipeline to be measured is improved.

Therefore, the scheme provided by the application achieves the purpose of rapidly determining the excitation frequency of the pipeline to be measured, the technical effect of improving the tension measurement efficiency of the pipeline to be measured is achieved, and the technical problem that the excitation frequency cannot be accurately determined in the prior art is solved.

In an optional embodiment, after the pipeline information and the environment information are processed based on a preset model to obtain the excitation frequency of the pipeline to be tested, the central server sends the excitation frequency to the strain gauge acquisition device, so that the strain gauge acquisition device outputs the excitation frequency and acquires a frequency signal when the pipeline to be tested resonates under the excitation frequency, wherein the frequency signal is used for determining the tension of the pipeline to be tested.

Optionally, the strain gauge acquisition device may be, but is not limited to, a single-coil vibrating wire strain gauge. Fig. 3 shows a schematic diagram of an alternative single-coil vibrating wire strain gauge for measuring tension, specifically, a pipe to be measured is firstly stretched between two end blocks, and the end blocks are welded on the surface of the pipe to be measured. Deformation (e.g., strain change) of the pipe under test will cause the two end blocks to move relative to each other, causing the string tension of the pipe under test to change. The change of the tension of the steel string causes the change of the resonance frequency of the pipeline to be measured, so that the steel string is excited by the electromagnetic coil close to the steel string to resonate, and the magnitude of the tension borne by the pipeline to be measured can be determined by measuring the frequency signal of the resonance of the steel string. In addition, fig. 4 shows a side view of the electromagnetic coil, and fig. 5 shows a top view of the electromagnetic coil.

It should be noted that, the central server performs stress calculation on the pipeline to be measured by acquiring the frequency signal of the vibrating wire strain gauge in real time, so as to realize automatic disaster early warning and monitoring on the pipeline.

In an optional embodiment, after the excitation frequency is sent to the strain gauge acquisition device, the central server further acquires the frequency signal, the pipeline information and the environmental information acquired by the strain gauge acquisition device, and corrects the preset model based on the frequency signal, the pipeline information and the environmental information to obtain the corrected preset model.

Optionally, as shown in fig. 2, the frequency signal acquired by the strain gauge acquisition device in real time is also input into a preset model in the central server, and the central server continuously performs adaptive learning through the input external parameters and the historical feedback value of the strain gauge acquisition device, and corrects the preset model to form a closed-loop feedback system, so that the preset model outputs the optimal excitation frequency.

In an alternative embodiment, after acquiring the frequency signal when the pipe to be measured resonates at the excitation frequency, the central server further detects whether the frequency signal is abnormal, and controls the strain gauge acquisition device to widen the scanning frequency range by taking the excitation frequency as the center and determine the frequency for resonating the pipe to be measured according to the scanning frequency range when the frequency signal is abnormal.

It should be noted that, under normal conditions, the strain change of the pipeline to be measured is a continuous and slowly changing analog quantity, and the strain gauge acquisition device is rigidly connected with the pipeline to be measured. Therefore, the steel string resonance frequency is also the excitation frequency issued by the central server directly output by the continuous and slowly-changing analog quantity strain gauge acquisition device, the excitation frequency is close to the resonance frequency of the steel string, so that the steel string can quickly generate resonance, and then the strain gauge acquisition device acquires the frequency signal of the to-be-measured pipeline when the to-be-measured pipeline resonates under the excitation frequency.

Under abnormal conditions, the strain of the pipeline to be measured changes suddenly, so that the resonance frequency of the steel string changes suddenly. The strain gauge acquisition device still directly outputs the excitation frequency issued by the central server, but the excitation frequency cannot enable the steel string to generate resonance or the generated vibration signal is weak; at the moment, the strain gauge acquisition device outputs a gradually-widened frequency-sweeping band signal by taking the excitation frequency as a central point, so that the steel string can quickly generate resonance, and then the strain gauge acquisition device acquires a frequency signal of the pipeline to be measured when the pipeline to be measured resonates under the excitation frequency.

According to the scheme, a large amount of historical acquisition data, real-time working conditions of the pipeline to be measured, a large amount of historical working condition data and other large amount of external environment parameters are used, self-adaptive learning and software model correction are continuously carried out through a preset model, the optimal excitation frequency is finally output to all strain gauge acquisition devices at the field end, and then the steel wire of the vibrating wire type strain gauge is quickly and accurately made to resonate.

It should be noted that the strain gauge acquisition device on site has simple and reliable hardware structure, low software complexity and strong stability. In addition, the strain gauge acquisition device does not need to sweep frequency from a lower frequency limit to an upper frequency limit every time for acquiring frequency signals, so that the acquisition time is reduced, the stability of signal acquisition is improved, the strain gauge steel wire can be quickly and accurately resonated by the method, and the acquired signal amplitude is stronger and more stable. Finally, the closed-loop feedback is adopted, the strain gauge acquisition device is continuously corrected, the strain gauge acquisition device is continuously optimized, and finally output excitation frequency is closer to the resonant frequency value of the steel string.

Example 2

According to an embodiment of the present invention, there is further provided an embodiment of a system for determining an excitation frequency, where fig. 6 is a schematic diagram of a system for determining an excitation frequency according to an embodiment of the present invention, as shown in fig. 6, the system includes: the system comprises a central server and a strain gauge acquisition device.

The central server is used for acquiring the pipeline information of the pipeline to be tested and the environment information of the environment where the pipeline to be tested is located, processing the pipeline information and the environment information based on a preset model to obtain the excitation frequency of the pipeline to be tested, and issuing the excitation frequency to the strain gauge acquisition device, wherein the preset model is a model constructed based on the relation among historical pipeline information, historical environment information and historical excitation rate; and the strain gauge acquisition device is used for acquiring a frequency signal of the to-be-detected pipeline when the to-be-detected pipeline resonates under the excitation frequency and determining the tension of the to-be-detected pipeline according to the frequency signal.

Optionally, the strain gauge acquisition device is installed on the site and establishes communication with the central server through a 4G link. And a preset model based on big data statistical analysis decision is operated on the central server. The strain gauge acquisition device uploads the strain gauge frequency acquired in real time to the central server, and the longer the system operation time is, the more historical data are accumulated on the central server.

In addition, the central server also acquires the frequency signal, the pipeline information and the environmental information acquired by the strain gauge acquisition device, and corrects the preset model based on the frequency signal, the pipeline information and the environmental information to obtain the corrected preset model. Specifically, the frequency signals acquired by the strain gauge acquisition devices in real time can be input into a preset model in the central server, the central server continuously performs self-adaptive learning through the input external parameters and historical feedback values of the strain gauge acquisition devices, and corrects the preset model to form a closed-loop feedback system, so that the preset model outputs the optimal excitation frequency.

In an alternative embodiment, the strain gauge acquisition device is further configured to widen the scanning frequency range centered on the excitation frequency in the case of an abnormality in the frequency signal, and acquire the frequency for resonating the pipe to be measured according to the scanning frequency range.

It should be noted that, under normal conditions, the strain change of the pipeline to be measured is a continuous and slowly changing analog quantity, and the strain gauge acquisition device is rigidly connected with the pipeline to be measured. Therefore, the steel string resonance frequency is also the excitation frequency issued by the central server directly output by the continuous and slowly-changing analog quantity strain gauge acquisition device, the excitation frequency is close to the resonance frequency of the steel string, so that the steel string can quickly generate resonance, and then the strain gauge acquisition device acquires the frequency signal of the to-be-measured pipeline when the to-be-measured pipeline resonates under the excitation frequency.

Under abnormal conditions, the strain of the pipeline to be measured changes suddenly, so that the resonance frequency of the steel string changes suddenly. The strain gauge acquisition device still directly outputs the excitation frequency issued by the central server, but the excitation frequency cannot enable the steel string to generate resonance or the generated vibration signal is weak; at the moment, the strain gauge acquisition device outputs a gradually-widened frequency-sweeping band signal by taking the excitation frequency as a central point, so that the steel string can quickly generate resonance, and then the strain gauge acquisition device acquires a frequency signal of the pipeline to be measured when the pipeline to be measured resonates under the excitation frequency.

Finally, all on-site strain gauge acquisition devices transmit acquired frequency signals back to the central server through the 4G link, and the whole system forms a closed-loop feedback system. And the preset model on the central server continuously performs self-adaptive learning and software model correction through the field feedback value, so that the preset model outputs the optimal excitation frequency. The more accurate the excitation frequency is, the closer the excitation frequency is to the resonance frequency of the on-site steel string, and then the strain gauge acquisition device can rapidly and accurately output a corresponding frequency signal, directly enable the steel string to generate resonance, and acquire the frequency signal.

Therefore, in the embodiment of the invention, a big data analysis strategy is adopted to determine the excitation frequency of the pipeline to be tested, after the pipeline information of the pipeline to be tested and the environment information of the environment where the pipeline to be tested is located are obtained, the pipeline information and the environment information are processed based on the preset model, and the excitation frequency of the pipeline to be tested is obtained, wherein the preset model is a model constructed based on the relation among the historical pipeline information, the historical environment information and the historical excitation frequency.

It is easy to notice that, in the above process, based on the big data analysis strategy, the influence of the pipeline information and the environmental information of the pipeline to be measured on the excitation frequency is considered, so that the determined excitation frequency is more accurate and reliable, the pipeline to be measured is excited by the excitation frequency to generate resonance more easily, and the efficiency of measuring the tension of the pipeline to be measured is improved.

Therefore, the scheme provided by the application achieves the purpose of rapidly determining the excitation frequency of the pipeline to be measured, the technical effect of improving the tension measurement efficiency of the pipeline to be measured is achieved, and the technical problem that the excitation frequency cannot be accurately determined in the prior art is solved.

It should be noted that the central server in this embodiment may execute the method for determining the excitation frequency in embodiment 1, and related contents are already described in embodiment 1, and are not described herein again.

Example 3

According to an embodiment of the present invention, there is further provided an embodiment of an excitation frequency determining apparatus, where fig. 7 is a schematic diagram of an excitation frequency determining apparatus according to an embodiment of the present invention, and as shown in fig. 7, the apparatus includes: an obtaining module 701 and a determining module 703.

The acquiring module 701 is used for acquiring the pipeline information of the pipeline to be detected and the environment information of the environment where the pipeline to be detected is located; the determining module 703 is configured to process the pipeline information and the environment information based on a preset model to obtain an excitation frequency of the pipeline to be measured, where the preset model is a model constructed based on a relationship among historical pipeline information, historical environment information, and a historical excitation rate.

It should be noted that the acquiring module 701 and the determining module 703 correspond to steps S102 to S104 in the above embodiment 1, and the two modules are the same as the examples and application scenarios realized by the corresponding steps, but are not limited to the disclosure in the above embodiment 1.

Optionally, the pipe information at least includes one of the following: the physical parameters and the working condition information of the pipeline to be measured, and the environmental information at least comprises one of the following information: topographic and geomorphic information, meteorological information, hydrological information.

Optionally, the excitation frequency determining device further includes: and the sending module is used for sending the excitation frequency to the strainometer acquisition device after processing the pipeline information and the environment information based on the preset model to obtain the excitation frequency of the pipeline to be tested, so that the strainometer acquisition device outputs the excitation frequency and acquires a frequency signal when the pipeline to be tested resonates under the excitation frequency, wherein the frequency signal is used for determining the tension of the pipeline to be tested.

Optionally, the excitation frequency determining device further includes: the device comprises a first acquisition module and a correction module. The first acquisition module is used for acquiring frequency signals, pipeline information and environmental information acquired by the strain gauge acquisition device after transmitting the excitation frequency to the strain gauge acquisition device; and the correction module is used for correcting the preset model based on the frequency signal, the pipeline information and the environment information to obtain the corrected preset model.

Optionally, the excitation frequency determining device further includes: the device comprises a detection module and a control module. The device comprises a detection module, a frequency acquisition module and a frequency acquisition module, wherein the detection module is used for detecting whether a frequency signal is abnormal or not after acquiring the frequency signal when the pipeline to be detected resonates under an excitation frequency; and the control module is used for controlling the strain gauge acquisition device to widen the scanning frequency range by taking the excitation frequency as the center under the condition that the frequency signal is abnormal, and determining the frequency for enabling the pipeline to be detected to resonate according to the scanning frequency range.

Example 4

According to another aspect of the embodiments of the present invention, there is also provided a non-volatile storage medium having a computer program stored therein, wherein the computer program is configured to execute the determination method of excitation frequency in the above embodiment 1 when running.

Example 5

According to another aspect of the embodiments of the present invention, there is also provided a processor for running a program, wherein the program is configured to execute the method for determining the excitation frequency in embodiment 1 described above when running.

The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.

In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.