CN116817192A - Corrosion monitoring and alarming method and system for pipeline conveying equipment - Google Patents
Corrosion monitoring and alarming method and system for pipeline conveying equipment Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
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- G01N17/00—Investigating resistance of materials to the weather, to corrosion, or to light
- G01N17/006—Investigating resistance of materials to the weather, to corrosion, or to light of metals
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
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- 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
- G01N29/14—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 using acoustic emission techniques
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Abstract
The application discloses a corrosion monitoring and alarming method and a system for pipeline conveying equipment, which are applied to the technical field of pipeline conveying, and the method comprises the following steps: and analyzing the real-time characteristic data of the pipeline conveying equipment obtained by the dynamic acquisition of the monitoring acquisition module through the data arrangement center to obtain a first corrosion monitoring result of the pipeline conveying equipment. And the nondestructive testing module performs dynamic nondestructive corrosion monitoring on the pipeline conveying equipment based on an acoustic emission nondestructive testing principle to obtain a second corrosion monitoring result of the pipeline conveying equipment. And analyzing the first corrosion monitoring result and the second corrosion monitoring result based on the corrosion warning module, so as to generate corrosion warning information for the pipeline conveying equipment. The technical problems that the pipeline corrosion condition cannot be timely and accurately acquired due to the lack of a pipeline conveying equipment corrosion monitoring method in the prior art, and the pipeline conveying safety is affected are solved.
Description
Technical Field
The application relates to the field of pipeline conveying, in particular to a corrosion monitoring and alarming method and system for pipeline conveying equipment.
Background
Most pipeline conveying equipment is steel pipeline, when carrying partly corrosive article, pipeline can appear corroding defects such as perforation along with the lapse of time, and then lead to the pipeline to leak, causes the potential safety hazard. In the prior art, due to the lack of a corrosion monitoring method of pipeline conveying equipment, the corrosion condition of the pipeline cannot be timely and accurately acquired, and the pipeline conveying safety is further affected.
Therefore, the technical problem that the pipeline transportation safety is affected due to the fact that the pipeline corrosion condition cannot be timely and accurately acquired due to the fact that a pipeline transportation equipment corrosion monitoring method is lacked in the prior art.
Disclosure of Invention
The application provides a corrosion monitoring and alarming method and system for pipeline conveying equipment, which solve the technical problems that the pipeline corrosion condition cannot be timely and accurately acquired due to the lack of the corrosion monitoring method for the pipeline conveying equipment in the prior art, and the pipeline conveying safety is further affected.
The application provides a corrosion monitoring and alarming method of pipeline conveying equipment, which is applied to a corrosion monitoring and alarming system of the pipeline conveying equipment, wherein the system comprises a monitoring and collecting module, a data arrangement center, a nondestructive testing module and a corrosion alarming module, and the method comprises the following steps: analyzing the real-time characteristic data of the pipeline conveying equipment obtained by the dynamic acquisition of the monitoring acquisition module through the data arrangement center to obtain a first corrosion monitoring result of the pipeline conveying equipment; the nondestructive testing module performs dynamic nondestructive corrosion monitoring on the pipeline conveying equipment based on an acoustic emission nondestructive testing principle to obtain a second corrosion monitoring result of the pipeline conveying equipment; and analyzing the first corrosion monitoring result and the second corrosion monitoring result based on the corrosion warning module and generating corrosion warning information.
The application also provides a corrosion monitoring and alarming system of the pipeline conveying equipment, the system comprises a monitoring and collecting module, a data arrangement center, a nondestructive testing module and a corrosion alarming module, and the system comprises: the first corrosion monitoring result acquisition module is used for analyzing the real-time characteristic data of the pipeline conveying equipment obtained by the dynamic acquisition of the monitoring acquisition module through the data arrangement center to obtain a first corrosion monitoring result of the pipeline conveying equipment; the second corrosion monitoring result acquisition module is used for carrying out dynamic nondestructive corrosion monitoring on the pipeline conveying equipment based on an acoustic emission nondestructive detection principle by the nondestructive detection module to obtain a second corrosion monitoring result of the pipeline conveying equipment; and the corrosion alarm module is used for analyzing the first corrosion monitoring result and the second corrosion monitoring result based on the corrosion alarm module and generating corrosion alarm information.
The application also provides an electronic device, comprising:
a memory for storing executable instructions;
and the processor is used for realizing the corrosion monitoring and alarming method of the pipeline conveying equipment when executing the executable instructions stored in the memory.
The application provides a computer readable storage medium storing a computer program which, when executed by a processor, implements the corrosion monitoring and alarming method of the pipeline conveying equipment.
According to the corrosion monitoring and alarming method and system for the pipeline conveying equipment, the data arrangement center is used for analyzing the real-time characteristic data of the pipeline conveying equipment, which are dynamically acquired by the monitoring and acquisition module, so as to obtain a first corrosion monitoring result of the pipeline conveying equipment. And the nondestructive testing module performs dynamic nondestructive corrosion monitoring on the pipeline conveying equipment based on an acoustic emission nondestructive testing principle to obtain a second corrosion monitoring result of the pipeline conveying equipment. And analyzing the first corrosion monitoring result and the second corrosion monitoring result based on the corrosion warning module, so as to generate corrosion warning information for the pipeline conveying equipment. The method realizes timely and accurate acquisition of the corrosion condition of the pipeline and improves the safety of pipeline transportation. The technical problems that the pipeline corrosion condition cannot be timely and accurately acquired due to the lack of a pipeline conveying equipment corrosion monitoring method in the prior art, and the pipeline conveying safety is affected are solved.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings of the embodiments of the present disclosure will be briefly described below. It is apparent that the figures in the following description relate only to some embodiments of the present disclosure and are not limiting of the present disclosure.
FIG. 1 is a schematic flow chart of a corrosion monitoring and alarming method for a pipeline transportation device according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a method for monitoring and alarming corrosion of a pipeline transportation device to obtain a first corrosion monitoring result according to an embodiment of the present application;
FIG. 3 is a schematic flow chart of a method for monitoring and alarming corrosion of a pipeline transportation device to obtain a second corrosion monitoring result according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a system for a corrosion monitoring and alarming method for a pipeline transportation device according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a system electronic device of a corrosion monitoring and alarming method for a pipeline transportation device according to an embodiment of the present application.
Reference numerals illustrate: the corrosion monitoring system comprises a first corrosion monitoring result acquisition module 11, a second corrosion monitoring result acquisition module 12, a corrosion warning module 13, a processor 31, a memory 32, an input device 33 and an output device 34.
Detailed Description
Example 1
The present application will be further described in detail with reference to the accompanying drawings, for the purpose of making the objects, technical solutions and advantages of the present application more apparent, and the described embodiments should not be construed as limiting the present application, and all other embodiments obtained by those skilled in the art without making any inventive effort are within the scope of the present application.
In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is to be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments and can be combined with one another without conflict.
In the following description, the terms "first", "second", "third" and the like are merely used to distinguish similar objects and do not represent a particular ordering of the objects, it being understood that the "first", "second", "third" may be interchanged with a particular order or sequence, as permitted, to enable embodiments of the application described herein to be practiced otherwise than as illustrated or described herein.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the application only.
While the present application makes various references to certain modules in a system according to embodiments of the present application, any number of different modules may be used and run on a user terminal and/or server, the modules are merely illustrative, and different aspects of the system and method may use different modules.
A flowchart is used in the present application to describe the operations performed by a system according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in order precisely. Rather, the various steps may be processed in reverse order or simultaneously, as desired. Also, other operations may be added to or removed from these processes.
As shown in fig. 1, an embodiment of the present application provides a corrosion monitoring and alarming method for a pipeline transportation device, where the method is applied to a corrosion monitoring and alarming system for a pipeline transportation device, the system includes a monitoring and collecting module, a data sorting center, a nondestructive testing module, and a corrosion alarming module, and the method includes:
analyzing the real-time characteristic data of the pipeline conveying equipment obtained by the dynamic acquisition of the monitoring acquisition module through the data arrangement center to obtain a first corrosion monitoring result of the pipeline conveying equipment;
the nondestructive testing module performs dynamic nondestructive corrosion monitoring on the pipeline conveying equipment based on an acoustic emission nondestructive testing principle to obtain a second corrosion monitoring result of the pipeline conveying equipment;
and analyzing the first corrosion monitoring result and the second corrosion monitoring result based on the corrosion warning module and generating corrosion warning information.
Most pipeline conveying equipment is steel pipeline, when carrying partly corrosive article, pipeline can appear corroding defects such as perforation along with the lapse of time, and then lead to the pipeline to leak, causes the potential safety hazard. In the prior art, due to the lack of a corrosion monitoring method of pipeline conveying equipment, the pipeline corrosion condition cannot be accurately acquired, and the pipeline conveying safety is further affected. In order to solve the problems, the data arrangement center is used for analyzing the real-time characteristic data of the pipeline conveying equipment, which are dynamically acquired by the monitoring acquisition module, so as to obtain a first corrosion monitoring result of the pipeline conveying equipment. And then, carrying out dynamic nondestructive corrosion monitoring on the pipeline conveying equipment based on an acoustic emission nondestructive detection principle according to the nondestructive detection module to obtain a second corrosion monitoring result of the pipeline conveying equipment. And finally, analyzing the first corrosion monitoring result and the second corrosion monitoring result based on the corrosion warning module, acquiring abnormal data and an area generated by the abnormal data in the corrosion monitoring result, acquiring the actual corrosion condition of the pipeline, and further generating corrosion warning information. The method realizes timely and accurate acquisition of the corrosion condition of the pipeline and improves the safety of pipeline transportation.
As shown in fig. 2, the method provided by the embodiment of the present application further includes:
analyzing valve monitoring information acquired by a first monitoring group in the internal factor monitoring unit to determine real-time conveying flow of the pipeline conveying equipment;
analyzing the conveying material information acquired by the second monitoring group in the internal factor monitoring unit to determine the real-time material characteristics of the pipeline conveying equipment;
analyzing the conveying working condition information acquired by a third monitoring group in the internal factor monitoring unit to determine the real-time operation characteristics of the pipeline conveying equipment;
analyzing the application environment information acquired by the external factor monitoring unit to determine the real-time environment characteristics of the pipeline conveying equipment;
and taking the real-time conveying flow, the real-time material characteristics, the real-time operation characteristics and the real-time environment characteristics as output information of the data arrangement center to obtain the first corrosion monitoring result.
Obtaining a first corrosion monitoring result of the pipeline transportation device, comprising: and acquiring opening monitoring information of a specific valve by analyzing valve monitoring information acquired by a first monitoring group in the internal factor monitoring unit, and determining the real-time conveying flow of the pipeline conveying equipment. And then, analyzing the conveying material information acquired by the second monitoring group in the internal factor monitoring unit to determine the real-time material characteristics of the pipeline conveying equipment. And analyzing the conveying working condition information acquired by the third monitoring group in the internal factor monitoring unit to determine the real-time operation characteristics of the pipeline conveying equipment. And analyzing the application environment information acquired by the external factor monitoring unit to determine the real-time environment characteristics of the pipeline conveying equipment, wherein the application environment information comprises the real-time environment characteristics of the pipeline conveying equipment such as environment temperature, humidity, pressure and the like. And finally, taking the real-time conveying flow, the real-time material characteristics, the real-time operation characteristics and the real-time environment characteristics as input information of the data arrangement center, acquiring abnormal data in the real-time conveying flow, the real-time material characteristics and the real-time environment characteristics, and obtaining abnormal signals and corresponding abnormal positions in the real-time operation characteristics to obtain the first corrosion monitoring result.
The method provided by the embodiment of the application further comprises the following steps:
matching a flow characteristic curve of a pressure regulating valve of the pipeline conveying equipment;
and obtaining the real-time conveying flow based on the flow characteristic curve and the valve monitoring information, wherein the valve monitoring information refers to the real-time opening of the pressure regulating valve acquired by the first monitoring group.
The analyzing valve monitoring information collected by a first monitoring group in the internal factor monitoring unit to determine the real-time conveying flow of the pipeline conveying equipment comprises the following steps: and matching a flow characteristic curve of the pressure regulating valve of the pipeline conveying equipment, wherein the flow characteristic curve of the pressure regulating valve is a curve representing the relation between the opening degree of the valve and the corresponding maximum flow. And then, obtaining the real-time conveying flow based on the flow characteristic curve and the valve monitoring information, wherein the valve monitoring information refers to the real-time opening of the pressure regulating valve acquired by the first monitoring group.
The method provided by the embodiment of the application further comprises the following steps:
acquiring a conveying material of the pipeline conveying equipment;
collecting the conveying material information of the conveying materials through the second monitoring group, wherein the conveying material information comprises a plurality of material components with proportioning marks;
screening material components which meet the preset component characteristics in the material components with the proportioning marks to obtain target component sets, wherein the target component sets comprise the target material components with the proportioning marks;
and taking the target composition set as the real-time material characteristic.
Determining real-time material characteristics of the pipe conveying device, comprising: and acquiring the conveying material of the pipeline conveying equipment, wherein the conveying material is the actual conveying material of the pipeline conveying equipment. And then, acquiring the conveying material information of the conveying material through the second monitoring group, namely acquiring specific information of the conveying material, wherein the conveying material information comprises a plurality of material components with proportion marks, namely, the conveying material information comprises specific material component types and corresponding component proportions. And screening the material components meeting the preset component characteristics in the material components with the proportioning marks, wherein the material components with the preset component characteristics such as corrosive material components, material components incapable of being conveyed by a pipeline and the like can damage the pipeline, so as to obtain target component groups, and the target component groups comprise the target material components with the proportioning marks, namely the specific component proportions of the target material components. And finally, taking the target composition set as the real-time material characteristic.
The method provided by the embodiment of the application further comprises the following steps:
analyzing a plurality of groups of vibration signals acquired by the plurality of vibration sensors and a plurality of groups of sound signals acquired by the plurality of sound sensors through an equipment corrosion support vector machine to obtain the real-time operation characteristics;
the equipment corrosion support vector machine is an intelligent classification model obtained by learning historical operation data of similar equipment of the pipeline conveying equipment through machine supervision.
The third monitoring group comprises a plurality of vibration sensors and a plurality of sound sensors, and the analysis of the conveying working condition information collected by the third monitoring group in the internal factor monitoring unit determines the real-time operation characteristics of the pipeline conveying equipment, and the analysis comprises the following steps: and analyzing a plurality of groups of vibration signals acquired by the plurality of vibration sensors and a plurality of groups of sound signals acquired by the plurality of sound sensors through an equipment corrosion support vector machine to obtain the real-time operation characteristic. The equipment corrosion support vector machine is an intelligent classification model obtained by learning historical operation data of similar equipment of the pipeline conveying equipment through machine supervision.
The method provided by the embodiment of the application further comprises the following steps:
the equipment corrosion support vector machine is embedded with an abnormal signal support degree research and judgment model;
the abnormal signal support degree research model is combined with a first adjacent signal of a first abnormal signal in the real-time signal group to carry out support degree analysis on the first abnormal signal, so as to obtain a first abnormal support degree index;
the real-time signal group is formed by combining the plurality of groups of vibration signals and the plurality of groups of sound signals, and the first adjacent signals are signals acquired by sensors with adjacent relation between the corresponding sensor deployment positions and the first deployment positions of the first abnormal signals;
and when the first abnormal support degree index reaches a preset index threshold value, taking the first abnormal signal as output information of the equipment corrosion support vector machine.
Before the analysis of the plurality of sets of vibration signals collected by the plurality of vibration sensors and the plurality of sets of sound signals collected by the plurality of sound sensors by the equipment corrosion support vector machine, the method comprises: and an abnormal signal support degree research and judgment model is embedded in the equipment corrosion support vector machine. And the abnormal signal support degree research model is combined with a first adjacent signal of a first abnormal signal in the real-time signal group to carry out support degree analysis on the first abnormal signal, so as to obtain a first abnormal support degree index. The real-time signal group is formed by combining the plurality of groups of vibration signals and the plurality of groups of sound signals, and the first adjacent signals are signals acquired by sensors with the corresponding sensor deployment positions and the first deployment positions of the first abnormal signals in an adjacent relation. When the first abnormal signal is acquired, the real-time signal is input into an abnormal signal identification model to acquire the abnormal signal, so that the first abnormal signal subjected to primary screening is obtained. The abnormal signal identification model is used for monitoring and training by acquiring a historical signal operation data signal group, wherein the historical signal operation data group comprises a plurality of groups of historical acquired real-time signals and abnormal or normal signal identification data corresponding to the real-time signals, the historical signal operation data group is input into the neural network model, and training is completed until the accuracy of the abnormal or normal signal identification output by the model meets the preset accuracy, and the abnormal signal identification model is acquired.
Further, since the similarity of the vibration signal and the sound signal detected by the adjacent sensor is high, when the difference of the signals acquired by the adjacent sensors is large, one of the adjacent sensors may have a sensor abnormality. Therefore, the first abnormal signal and the first adjacent signal are input into an abnormal signal support degree research model to obtain a first abnormal support degree index, wherein the abnormal signal support degree research model is used for obtaining a first normal signal of the sensor before the abnormal signal occurs at the first abnormal signal. And acquiring first adjacent normal signal data of the sensor before the abnormal signal occurs at the first adjacent signal according to the first adjacent signal. Acquiring a first absolute value of a difference value between first adjacent normal signal data and a first normal signal, acquiring a second absolute value of a difference value between the first adjacent signal and a first abnormal signal, acquiring a ratio of the first absolute value to the second absolute value, further acquiring a first abnormal support index, judging the authenticity of the first abnormal signal according to the acquired first abnormal support index, wherein the reliability of the first abnormal signal is higher when the first abnormal support index is closer to 1, and the reliability of the first abnormal signal is lower when the first abnormal support index is closer to 0. And finally, when the first abnormal support degree index reaches a preset index threshold, wherein the preset index threshold is a preset support degree index threshold, when the first abnormal support degree index is smaller than or equal to the preset support degree index threshold, the authenticity of the abnormal signal is lower, the reliability of the first abnormal signal is lower, and the sensor may be damaged. And when the first abnormal signal is larger than the threshold value, the authenticity of the abnormal signal is higher, and the first abnormal signal is used as the output information of the equipment corrosion support vector machine.
As shown in fig. 3, the method provided by the embodiment of the present application further includes:
the nondestructive testing module is internally embedded with a preset acoustic emission signal time sequence, wherein the preset acoustic emission signal time sequence is an acoustic emission signal test and detection result under a complete corrosion period of equipment obtained by testing in a preset environment;
and acquiring an acoustic emission signal time sequence obtained by a signal sent by an acoustic emission source after the signal passes through the pipeline conveying equipment, and comparing the acoustic emission signal time sequence with the preset acoustic emission signal time sequence to obtain the second corrosion monitoring result.
And obtaining a second corrosion monitoring result of the pipeline conveying equipment, wherein the second corrosion monitoring result comprises the following steps: the nondestructive detection module is embedded with a preset acoustic emission signal time sequence, wherein the nondestructive detection module can be ultrasonic detection and the like, and the preset acoustic emission signal time sequence is an acoustic emission signal test detection result under the complete corrosion period of equipment obtained by test under a preset environment. The predetermined acoustic emission signal time sequence is obtained by testing the pipeline conveying equipment under the predetermined environment based on the same use environment of the pipeline conveying equipment, and the acoustic emission signal test detection result under the complete corrosion period of the equipment comprises acoustic wave characteristics, namely the acoustic emission signal time sequence and the corresponding corrosion degree. And then, acquiring an acoustic emission signal time sequence obtained by a signal sent by an acoustic emission source after the signal passes through the pipeline conveying equipment, and comparing the acoustic emission signal time sequence with the preset acoustic emission signal time sequence to obtain the corrosion degree, so as to obtain the second corrosion monitoring result.
According to the technical scheme provided by the embodiment of the application, the real-time characteristic data of the pipeline conveying equipment, which is obtained by the dynamic acquisition of the monitoring acquisition module, is analyzed through the data arrangement center, so that a first corrosion monitoring result of the pipeline conveying equipment is obtained. And then, carrying out dynamic nondestructive corrosion monitoring on the pipeline conveying equipment based on an acoustic emission nondestructive detection principle according to the nondestructive detection module to obtain a second corrosion monitoring result of the pipeline conveying equipment. And finally, analyzing the first corrosion monitoring result and the second corrosion monitoring result based on the corrosion warning module, acquiring abnormal data and an area generated by the abnormal data in the corrosion monitoring result, acquiring the actual corrosion condition of the pipeline, and further generating corrosion warning information. The method realizes timely and accurate acquisition of the corrosion condition of the pipeline and improves the safety of pipeline transportation. The technical problems that the pipeline corrosion condition cannot be timely and accurately acquired due to the lack of a pipeline conveying equipment corrosion monitoring method in the prior art, and the pipeline conveying safety is affected are solved.
Example two
Based on the same inventive concept as the corrosion monitoring and alarming method of the pipeline transportation equipment in the foregoing embodiment, the present application further provides a system of the corrosion monitoring and alarming method of the pipeline transportation equipment, where the system may be implemented by hardware and/or software, and may generally be integrated in an electronic device, for executing the method provided by any embodiment of the present application. As shown in fig. 4, the system includes a monitoring acquisition module, a data arrangement center, a nondestructive testing module, and a corrosion alarming module, and the system includes:
the first corrosion monitoring result acquisition module 11 is used for analyzing the real-time characteristic data of the pipeline conveying equipment dynamically acquired by the monitoring acquisition module through the data arrangement center to obtain a first corrosion monitoring result of the pipeline conveying equipment;
a second corrosion monitoring result obtaining module 12, configured to perform dynamic nondestructive corrosion monitoring on the pipeline transportation device by using the nondestructive detection module based on an acoustic emission nondestructive detection principle, so as to obtain a second corrosion monitoring result of the pipeline transportation device;
and the corrosion alarm module 13 is used for analyzing the first corrosion monitoring result and the second corrosion monitoring result based on the corrosion alarm module and generating corrosion alarm information.
Further, the first corrosion monitoring result obtaining module 11 is further configured to:
analyzing valve monitoring information acquired by a first monitoring group in the internal factor monitoring unit to determine real-time conveying flow of the pipeline conveying equipment;
analyzing the conveying material information acquired by the second monitoring group in the internal factor monitoring unit to determine the real-time material characteristics of the pipeline conveying equipment;
analyzing the conveying working condition information acquired by a third monitoring group in the internal factor monitoring unit to determine the real-time operation characteristics of the pipeline conveying equipment;
analyzing the application environment information acquired by the external factor monitoring unit to determine the real-time environment characteristics of the pipeline conveying equipment;
and taking the real-time conveying flow, the real-time material characteristics, the real-time operation characteristics and the real-time environment characteristics as input information of the data arrangement center to obtain the first corrosion monitoring result.
Further, the first corrosion monitoring result obtaining module 11 is further configured to:
matching a flow characteristic curve of a pressure regulating valve of the pipeline conveying equipment;
and obtaining the real-time conveying flow based on the flow characteristic curve and the valve monitoring information, wherein the valve monitoring information refers to the real-time opening of the pressure regulating valve acquired by the first monitoring group.
Further, the first corrosion monitoring result obtaining module 11 is further configured to:
acquiring a conveying material of the pipeline conveying equipment;
collecting the conveying material information of the conveying materials through the second monitoring group, wherein the conveying material information comprises a plurality of material components with proportioning marks;
screening material components which meet the preset component characteristics in the material components with the proportioning marks to obtain target component sets, wherein the target component sets comprise the target material components with the proportioning marks;
and taking the target composition set as the real-time material characteristic.
Further, the first corrosion monitoring result obtaining module 11 is further configured to:
analyzing a plurality of groups of vibration signals acquired by the plurality of vibration sensors and a plurality of groups of sound signals acquired by the plurality of sound sensors through an equipment corrosion support vector machine to obtain the real-time operation characteristics;
the equipment corrosion support vector machine is an intelligent classification model obtained by learning historical operation data of similar equipment of the pipeline conveying equipment through machine supervision.
Further, the first corrosion monitoring result obtaining module 11 is further configured to:
the equipment is corroded, and an abnormal signal support degree research and judgment model is embedded in the equipment;
the abnormal signal support degree research model is combined with a first adjacent signal of a first abnormal signal in the real-time signal group to carry out support degree analysis on the first abnormal signal, so as to obtain a first abnormal support degree index;
the real-time signal group is formed by combining the plurality of groups of vibration signals and the plurality of groups of sound signals, and the first adjacent signals are signals acquired by sensors with adjacent relation between the corresponding sensor deployment positions and the first deployment positions of the first abnormal signals;
and when the first abnormal support degree index reaches a preset index threshold value, taking the first abnormal signal as output information of the equipment corrosion support vector machine.
Further, the second corrosion monitoring result obtaining module 12 is further configured to:
the nondestructive testing module is internally embedded with a preset acoustic emission signal time sequence, wherein the preset acoustic emission signal time sequence is an acoustic emission signal test and detection result under a complete corrosion period of equipment obtained by testing in a preset environment;
and acquiring an acoustic emission signal time sequence obtained by a signal sent by an acoustic emission source after the signal passes through the pipeline conveying equipment, and comparing the acoustic emission signal time sequence with the preset acoustic emission signal time sequence to obtain the second corrosion monitoring result.
The included units and modules are only divided according to the functional logic, but are not limited to the above-mentioned division, so long as the corresponding functions can be realized; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present application.
Example III
Fig. 5 is a schematic structural diagram of an electronic device provided in a third embodiment of the present application, and shows a block diagram of an exemplary electronic device suitable for implementing an embodiment of the present application. The electronic device shown in fig. 5 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present application. As shown in fig. 5, the electronic device includes a processor 31, a memory 32, an input device 33, and an output device 34; the number of processors 31 in the electronic device may be one or more, in fig. 5, one processor 31 is taken as an example, and the processors 31, the memory 32, the input device 33 and the output device 34 in the electronic device may be connected by a bus or other means, in fig. 5, by bus connection is taken as an example.
The memory 32 is used as a computer readable storage medium for storing software programs, computer executable programs and modules, such as program instructions/modules corresponding to a method for monitoring and alerting of corrosion of a pipeline transportation device in accordance with an embodiment of the present application. The processor 31 executes various functional applications and data processing of the computer device by running software programs, instructions and modules stored in the memory 32, i.e. implements a corrosion monitoring and alerting method for a pipe conveying device as described above.
Note that the above is only a preferred embodiment of the present application and the technical principle applied. It will be understood by those skilled in the art that the present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the application. Therefore, while the application has been described in connection with the above embodiments, the application is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the application, which is set forth in the following claims.
Claims (10)
1. The corrosion monitoring and alarming method for the pipeline conveying equipment is characterized by being applied to a corrosion monitoring and alarming system of the pipeline conveying equipment, wherein the system comprises a monitoring and collecting module, a data arrangement center, a nondestructive testing module and a corrosion alarming module, and the method comprises the following steps:
analyzing the real-time characteristic data of the pipeline conveying equipment obtained by the dynamic acquisition of the monitoring acquisition module through the data arrangement center to obtain a first corrosion monitoring result of the pipeline conveying equipment;
the nondestructive testing module performs dynamic nondestructive corrosion monitoring on the pipeline conveying equipment based on an acoustic emission nondestructive testing principle to obtain a second corrosion monitoring result of the pipeline conveying equipment;
and analyzing the first corrosion monitoring result and the second corrosion monitoring result based on the corrosion warning module and generating corrosion warning information.
2. The method of claim 1, wherein the monitoring and acquisition module comprises an internal factor monitoring unit and an external factor monitoring unit, the obtaining the first corrosion monitoring result of the pipe conveying apparatus comprising:
analyzing valve monitoring information acquired by a first monitoring group in the internal factor monitoring unit to determine real-time conveying flow of the pipeline conveying equipment;
analyzing the conveying material information acquired by the second monitoring group in the internal factor monitoring unit to determine the real-time material characteristics of the pipeline conveying equipment;
analyzing the conveying working condition information acquired by a third monitoring group in the internal factor monitoring unit to determine the real-time operation characteristics of the pipeline conveying equipment;
analyzing the application environment information acquired by the external factor monitoring unit to determine the real-time environment characteristics of the pipeline conveying equipment;
and taking the real-time conveying flow, the real-time material characteristics, the real-time operation characteristics and the real-time environment characteristics as input information of the data arrangement center to obtain the first corrosion monitoring result.
3. The method of claim 2, wherein analyzing the valve monitoring information collected by the first monitoring group in the internal factor monitoring unit to determine the real-time delivery flow rate of the pipe delivery apparatus comprises:
matching a flow characteristic curve of a pressure regulating valve of the pipeline conveying equipment;
and obtaining the real-time conveying flow based on the flow characteristic curve and the valve monitoring information, wherein the valve monitoring information refers to the real-time opening of the pressure regulating valve acquired by the first monitoring group.
4. The method of claim 2, wherein analyzing the material conveyed information collected by the second monitoring group in the internal factor monitoring unit to determine the real-time material characteristics of the pipe conveying apparatus comprises:
acquiring a conveying material of the pipeline conveying equipment;
collecting the conveying material information of the conveying materials through the second monitoring group, wherein the conveying material information comprises a plurality of material components with proportioning marks;
screening material components which meet the preset component characteristics in the material components with the proportioning marks to obtain target component sets, wherein the target component sets comprise the target material components with the proportioning marks;
and taking the target composition set as the real-time material characteristic.
5. The method of claim 2, wherein the third monitoring group includes a plurality of vibration sensors and a plurality of sound sensors, and wherein analyzing the delivery profile information collected by the third monitoring group in the internal factor monitoring unit determines real-time operating characteristics of the pipe delivery apparatus, comprising:
analyzing a plurality of groups of vibration signals acquired by the plurality of vibration sensors and a plurality of groups of sound signals acquired by the plurality of sound sensors through an equipment corrosion support vector machine to obtain the real-time operation characteristics;
the equipment corrosion support vector machine is an intelligent classification model obtained by learning historical operation data of similar equipment of the pipeline conveying equipment through machine supervision.
6. The method of claim 5, comprising, prior to analyzing the plurality of sets of vibration signals acquired by the plurality of vibration sensors and the plurality of sets of sound signals acquired by the plurality of sound sensors by an equipment corrosion support vector machine:
the equipment corrosion support vector machine is embedded with an abnormal signal support degree research and judgment model;
the abnormal signal support degree research model is combined with a first adjacent signal of a first abnormal signal in the real-time signal group to carry out support degree analysis on the first abnormal signal, so as to obtain a first abnormal support degree index;
the real-time signal group is formed by combining the plurality of groups of vibration signals and the plurality of groups of sound signals, and the first adjacent signals are signals acquired by sensors with adjacent relation between the corresponding sensor deployment positions and the first deployment positions of the first abnormal signals;
and when the first abnormal support degree index reaches a preset index threshold value, taking the first abnormal signal as output information of the equipment corrosion support vector machine.
7. The method of claim 1, wherein the obtaining a second corrosion monitoring result of the pipe conveying apparatus comprises:
the nondestructive testing module is internally embedded with a preset acoustic emission signal time sequence, wherein the preset acoustic emission signal time sequence is an acoustic emission signal test and detection result under a complete corrosion period of equipment obtained by testing in a preset environment;
and acquiring an acoustic emission signal time sequence obtained by a signal sent by an acoustic emission source after the signal passes through the pipeline conveying equipment, and comparing the acoustic emission signal time sequence with the preset acoustic emission signal time sequence to obtain the second corrosion monitoring result.
8. A corrosion monitoring and warning system for a pipeline transportation apparatus, the system performing the method of any one of claims 1 to 7, the system comprising a monitoring acquisition module, a data sort center, a nondestructive testing module, a corrosion warning module, the system comprising:
the first corrosion monitoring result acquisition module is used for analyzing the real-time characteristic data of the pipeline conveying equipment obtained by the dynamic acquisition of the monitoring acquisition module through the data arrangement center to obtain a first corrosion monitoring result of the pipeline conveying equipment;
the second corrosion monitoring result acquisition module is used for carrying out dynamic nondestructive corrosion monitoring on the pipeline conveying equipment based on an acoustic emission nondestructive detection principle by the nondestructive detection module to obtain a second corrosion monitoring result of the pipeline conveying equipment;
and the corrosion alarm module is used for analyzing the first corrosion monitoring result and the second corrosion monitoring result based on the corrosion alarm module and generating corrosion alarm information.
9. An electronic device, the electronic device comprising:
a memory for storing executable instructions;
a processor for implementing a method of corrosion monitoring and alerting a pipe conveying apparatus according to any one of claims 1 to 7 when executing executable instructions stored in said memory.
10. A computer readable storage medium having stored thereon a computer program, which when executed by a processor implements a method of corrosion monitoring and alerting of a pipe conveying apparatus according to any one of claims 1-7.
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