KR20200113315A - Method for checking and preventing real time detection of structure - Google Patents

Abstract

The present invention relates to a method for real-time diagnosis and prevention of defects of a structure. The method for real-time diagnosis and prevention of defects of a structure comprises: a step of measuring stop state deformation of a structure to construct stop state reference data; a step of measuring operating state deformation of the structure to construct operating state reference data; a step of using the stop state reference data and the operating state reference data to construct normal state reference data; a step of measuring operational state deformation of the structure to compare the operational state deformation with the normal state reference data, and then determining whether the structure is defective; and a step of carrying out detailed measurement of the structure after stopping the operation of the structure if a defect of the structure is determined to have occurred. A property change caused by a defect of a structure is sensed to diagnose whether a defect has occurred, a defect size, and a defect position in a stop state and an operating state in real time. If a defect is diagnosed to have occurred, optimized repair and fault prevention measures can be provided in accordance with diagnosis prevention information stored in a database.

Description

Real-time defect diagnosis prevention method of structure {METHOD FOR CHECKING AND PREVENTING REAL TIME DETECTION OF STRUCTURE}

The present invention detects the change in characteristics due to the occurrence of defects in the structure, diagnoses the occurrence of defects, the size of the defects, and the location of the defects in real time in a stationary state and in an operating state, and when it is diagnosed that a defect has occurred, according to the databaseized prevention information It relates to a real-time defect diagnosis prevention method of a structure that can provide optimized repair and failure prevention measures.

As is well known, life due to the collapse and damage of structures (or machinery) such as the collapse of the hot water pipes in Goyang, Mokdong, and Ansan, the collapse of the Gyeongju resort gymnasium, the collapse of Seongsu Bridge, the collapse of Sampoong Department Store, and the crash of a military helicopter, Property damage continues to occur, and as of 2017, about 36.5% (2.6 million dong) of buildings nationwide are deteriorated buildings more than 30 years after completion, and the number of cases of collapse is expected to increase.

In order to detect such defects in structures, such as grasping through leaks in cracks, finding defects with the naked eye and measuring their size, or measuring the depth of defects by measuring the time until ultrasonic waves are received through an ultrasonic generator. Various methods are being used. In the case of visual inspection, it is possible to measure defects that have already progressed significantly, so there is a problem that it is impossible to measure whether defects occur in real time. There is a problem in that the inspection deviation greatly differs in the process of selecting a measurement point and analyzing data according to capabilities.

In order to solve the above-described problem, the prior art 1 (Korean Patent Laid-Open Patent No. 10-2015-0104459) to identify a defect by extracting a feature vector by searching for a natural frequency of a mechanical structure and detecting a change in a feature vector due to the occurrence of a defect. ), and each vibration according to the operating conditions of the machine, calculating the average value and standard deviation of the measured vibration signal, setting the vibration standard in each operating condition, and setting the vibration standard and the current vibration value. Prior art 2 (Korean Patent Registration No. 10-1409986) for recognizing defects through comparison is presented.

However, prior art 1 and prior art 2 have a problem that an expensive frequency analyzer is required to convert the time domain signal measured by the sensor.In particular, in the prior art 1, the moment coincides with the searched natural frequency to remove noise. An additional moment is applied by expanding a specific vector peak by applying, and this increases the vibration, and because it supplies a moment consistent with the natural frequency, it inevitably generates resonance, which is highly likely to cause defects. have. In other words, it can theoretically make the noise look small, but in practice it can cause a very fatal problem.

In addition, in the prior art 1 and the prior art 2, the fault is diagnosed by recognizing the frequency generated during operation in each part and detecting the change. If a signal of the same frequency is generated during normal operation in the tool and spindle, the fault is detected. Accordingly, even if the characteristic pattern or the vibration criterion is changed, it is difficult to distinguish the fault location.

1. Korean Patent Publication No. 10-2015-0104459 (published on September 15, 2015) 2. Korean Patent Registration No. 10-1409986 (registered on June 13, 2014)

The present invention detects the change in characteristics due to the occurrence of a defect in a structure, diagnoses whether a defect occurs, the size of the defect, and the location of the defect in real time in a stationary state and an operating state, and when it is diagnosed that a defect has occurred, the diagnosis prevention information in the database Accordingly, it is intended to provide a real-time defect diagnosis prevention method for structures that can provide optimized repair and failure prevention measures.

In addition, the present invention determines whether the structure is defective after measuring the static state deformation and the operating state deformation of the structure to establish the steady state reference data, and after measuring the operating state deformation of the structure and comparing it with the steady state reference data, It is intended to provide a method for preventing real-time defect diagnosis of structures that can effectively diagnose real-time defects of structures.

In addition, in the present invention, when it is determined that a defect in the structure has occurred, after stopping the operation of the structure, detailed measurement of the structure is performed to derive the defect diagnosis information, and then, by providing preventive action information corresponding to the defect diagnosis information, It is intended to provide a method for real-time defect diagnosis and prevention of structures that can perform rapid preventive measures in response to defects occurring in structures.

The objects of the embodiments of the present invention are not limited to the above-mentioned objects, and other objects not mentioned will be clearly understood by those of ordinary skill in the technical field to which the present invention belongs from the following description. .

According to an embodiment of the present invention, the steps of constructing stationary state reference data by measuring the stationary state deformation of the structure, the steps of constructing operation state reference data by measuring the operation state transformation of the structure, and the stationary state reference data And establishing steady state reference data using the operating state reference data, determining whether or not the structure is defective after measuring the operational state deformation of the structure and comparing it with the steady state reference data, and When it is determined that a defect has occurred, a method for preventing real-time defect diagnosis of a structure including the step of performing detailed measurement of the structure after stopping the operation of the structure may be provided.

Further, according to an embodiment of the present invention, the method for preventing real-time defect diagnosis of the structure further includes the step of deriving defect diagnosis information through the detailed measurement, and then providing preventive action information corresponding to the defect diagnosis information. A method for preventing real-time defect diagnosis of a structure may be provided.

In addition, according to an embodiment of the present invention, the stationary state reference data includes a stationary strain size and a stationary strain mode measured by inputting a rated load in a stationary state of the structure. I can.

In addition, according to an embodiment of the present invention, the operation state reference data is a real-time defect of a structure including an operation deformation magnitude and operation deformation mode measured in response to a speed, a rotational speed, and an operation on/off in the operation state of the structure. Diagnosis prevention methods can be provided.

In addition, according to an embodiment of the present invention, the defect diagnosis information may provide a method for preventing real-time defect diagnosis of a structure including whether a defect occurs, a defect size, and a defect location.

In addition, according to an embodiment of the present invention, the preventive measure information may be provided with a method for preventing real-time defect diagnosis of a structure including operation stoppage, maintenance status, location, and shape.

The present invention detects the change in characteristics due to the occurrence of a defect in a structure, diagnoses whether a defect occurs, the size of the defect, and the location of the defect in real time in a stationary state and an operating state, and when it is diagnosed that a defect has occurred, the diagnosis prevention information in the database Accordingly, it can provide optimized maintenance and failure prevention measures.

In addition, the present invention determines whether the structure is defective after measuring the static state deformation and the operating state deformation of the structure to establish the steady state reference data, and after measuring the operating state deformation of the structure and comparing it with the steady state reference data, Real-time defects of structures can be effectively diagnosed.

In addition, in the present invention, when it is determined that a defect in the structure has occurred, after stopping the operation of the structure, detailed measurement of the structure is performed to derive the defect diagnosis information, and then by providing preventive action information corresponding to the defect diagnosis information, Rapid preventive measures can be taken in response to defects in the structure.

1 is a block diagram illustrating an apparatus for preventing real-time defect diagnosis of a structure according to an embodiment of the present invention,
2 is a flow chart showing a process of diagnosing and preventing defects in a structure in real time according to another embodiment of the present invention.
3 to 7 are flowcharts showing in detail a process of diagnosing and preventing defects in a structure in real time according to another embodiment of the present invention,
8 to 14 are diagrams for explaining prevention after diagnosing a defect in a structure in real time according to an embodiment of the present invention.

Advantages and features of the embodiments of the present invention, and a method of achieving them will become apparent with reference to the embodiments described later in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in a variety of different forms, and only these embodiments make the disclosure of the present invention complete, and are common knowledge in the art It is provided to completely inform the scope of the invention to those who have, and the invention is only defined by the scope of the claims. The same reference numerals refer to the same components throughout the specification.

In describing the embodiments of the present invention, if it is determined that a detailed description of a known function or configuration may unnecessarily obscure the subject matter of the present invention, a detailed description thereof will be omitted. In addition, terms to be described later are terms defined in consideration of functions in an embodiment of the present invention, which may vary according to the intention or custom of users or operators. Therefore, the definition should be made based on the contents throughout this specification.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram illustrating an apparatus for preventing real-time defect diagnosis of a structure according to an embodiment of the present invention, and FIG. 2 is a block diagram illustrating a process of diagnosing and preventing defects in a structure in real time according to another embodiment of the present invention. 3 to 7 are flowcharts showing in detail a process of diagnosing and preventing a defect in a structure in real time according to another embodiment of the present invention, and FIGS. 8 to 14 are exemplary embodiments of the present invention. It is a diagram for explaining how to diagnose a defect in a structure in real time and prevent it. Here, the structure includes a structure such as a bridge, and a mechanical device that operates such as a helicopter, and hereinafter, it will be collectively referred to as a structure.

Referring to FIG. 1, the apparatus for preventing real-time defect diagnosis of a structure according to an embodiment of the present invention includes a stationary state reference data construction unit 110, an operation state reference data construction unit 120, and a steady state reference data construction unit 130. ), an operational state defect determination unit 140, a detailed measurement unit 150, a prevention action unit 160, and the like.

The stationary state reference data construction unit 110 builds stationary state reference data by measuring the stationary state deformation of the structure, and the stationary state reference data is, for example, the magnitude of the stationary deformation measured by inputting the rated load in the stationary state of the structure. And a static deformation mode.

The operating state reference data construction unit 120 builds operating state reference data by measuring the operating state deformation of the structure, and the operating state reference data corresponds to, for example, speed, rotational speed, and operation on-off in the operating state of the structure. Thus, the measured operating strain size and operating strain mode may be included.

The steady state reference data construction unit 130 builds the steady state reference data using the stationary state reference data and the operating state reference data, and the steady state reference data is measured by inputting a rated load, for example, in a stationary state of the structure. It may include an operating deformation size and an operation deformation mode measured in response to a speed, a rotational speed, and an operation on-off in the operating state of the structure while including the static deformation size and the static deformation mode.

The operation state defect determination unit 140 may determine whether the structure is defective after measuring the operation state deformation of the structure and comparing it with the normal state reference data.

The detailed measurement unit 150 may perform detailed measurement of the structure after stopping the operation of the structure when it is determined that a defect of the structure has occurred, which is the stationary reference data from the stationary reference data construction unit 110. It can be performed similarly to the way of measuring. Of course, in this case, the number of sensors and the attachment position can be variously adjusted.

The preventive action unit 160 derives defect diagnosis information through detailed measurement, and then provides preventive action information corresponding to the defect diagnosis information. The defect diagnosis information includes, for example, whether a defect occurs, the size of the defect, and the location of the defect. May include, and preventive action information may include, for example, shutdown, maintenance availability, location and type.

Referring to Figs. 2 to 7, the process of performing preventive measures after diagnosing defects in a structure in real time using the apparatus for preventing real-time defect diagnosis of a structure as described above is described in detail with reference to Figs. In, the stationary state reference data may be constructed by measuring the transformation of the stationary state of the structure (step 210).

Here, the stationary state reference data may include, for example, a stationary strain size and a stationary strain mode measured by inputting a rated load in a stationary state of the structure.

As described above, in the step 210 of constructing the stationary state reference data, as shown in FIG. 3, a plurality of diagnostic positions with a high probability of occurrence of a defect in the stationary state of the structure to be diagnosed (that is, all Position) after attaching the plurality of first measurement sensors, input the rated load (step 211), and measure the stop deformation size and the stop deformation mode at a plurality of diagnostic positions through the plurality of first measurement sensors (step 213) , By storing the measured data on the stationary strain size and stationary strain mode as stationary reference data through a data construction program (step 215), the stationary state reference data construction unit 110 provides the stationary state reference data of the structure. Can build.

Here, the rated load in the stop state may be input in a manner of applying a static load, an impact, a harmonic force, etc. to a plurality of diagnostic positions.

The operating state reference data construction unit 120 may measure the operating state deformation of the structure to construct the operating state reference data (step 220).

Here, the operating state reference data may include, for example, an operating strain size and an operating strain mode measured in response to a speed, a rotational speed, and an operating on-off in an operating state of the structure.

As described above, in the step 220 of constructing the operating state reference data, as shown in FIG. 4, after attaching a plurality of second measurement sensors to a plurality of diagnostic locations where sensors can be attached during operation of the structure, the rated load is input. And (Step 221), operation according to the main operating state corresponding to speed, rotational speed, operation on/off, etc. at a plurality of diagnostic positions through a plurality of second measurement sensors in the operation state (idle, operation, etc.) of the structure to be diagnosed The strain size and the operating strain mode are measured (step 223), and the data on the measured operating strain size and the operating strain mode is converted into a database as operating state reference data through a data construction program and stored (step 225). The data construction unit 120 may build reference data for the operation state of the structure.

Here, in the operating state, the rated load may be input through a centrifugal force of a rotating body provided in the structure, a force generated during mass movement, and the like.

The steady state reference data construction unit 130 may construct the steady state reference data by using the stationary state reference data and the operating state reference data (step 230).

Here, the steady state reference data is measured in response to the speed, rotational speed, and operation on-off in the operating state of the structure, including the static deformation magnitude and the static deformation mode measured by, for example, inputting the rated load at the stationary state of the structure. It can include the size of the operation deformation and the operation deformation mode.

As described above, in the step 230 of constructing the steady state reference data, the stationary state reference data constructed by the stationary reference data construction unit 110 and the operating state reference data constructed by the operation state reference data construction unit 120 are By creating an integrated database and storing it through a data construction program, it is possible to construct the steady state reference data of the structure.

The operational state defect determination unit 140 may determine whether the structure is defective after measuring the operational state deformation of the structure and comparing it with the normal state reference data (step 240).

As described above, the step 240 of determining whether the structure is defective, as shown in FIG. 5, is performed at a plurality of diagnostic positions (eg, frame, housing, non-operating part, etc.) where sensors can be attached during operation of the structure. After attaching a plurality of third measurement sensors (step 241), the operation deformation size and operation deformation mode are set at a plurality of diagnosis positions through the plurality of third measurement sensors in the operation state (idle, operation, etc.) of the structure to be diagnosed. After measurement (step 243), by comparing the established steady state reference data with the operating strain size and operating strain mode (step 245), and grasping whether or not a defect has occurred, the approximate defect size, and the defect location (step 247), You can determine whether the structure is defective

The detailed measurement unit 150 may perform detailed measurement of the structure after stopping the operation of the structure when it is determined that a defect in the structure has occurred (step 250). This may be performed similarly to the method of measuring the stationary state reference data in the stationary state reference data construction unit 110. Of course, in this case, the number of sensors and the attachment position can be variously adjusted.

As described above, in the step 250 of performing detailed measurement of the structure, as shown in FIG. 6, when it is determined that a defect has occurred in the structure, the defect is determined according to whether the structure has a defect, the approximate size of the defect, and the location of the defect. After determining the severity of the structure and stopping the operation of the structure (step 251), after attaching a plurality of fourth measurement sensors to a plurality of diagnostic locations that are predicted to have a defect in the state where the operation of the structure is stopped, the rating By inputting the load (step 253) and measuring the size of the defect deformation and the defect deformation mode at a plurality of diagnostic positions through a plurality of fourth measurement sensors (step 255), detailed measurement of the structure where the defect has occurred can be performed. .

The prevention action unit 160 may derive the defect diagnosis information through detailed measurement and then provide preventive action information corresponding to the defect diagnosis information (step 260).

Here, the defect diagnosis information may include, for example, whether a defect has occurred, the size of the defect, and the location of the defect, and the preventive action information may include, for example, whether an operation is stopped, whether or not maintenance is performed, a location and a shape.

As described above, in the step 260 of providing preventive action information, as shown in FIG. 7, the data on the defect deformation size and the defect deformation mode measured through detailed measurement are compared with the steady state reference data (step 261). , It is possible to grasp and derive defect diagnosis information including whether a defect occurs, defect size, and defect location (step 263), and search a preventive action database (not shown) according to the defect diagnosis information to respond to the defect diagnosis information. By extracting the preventive action information and providing it (step 265), it is possible to determine whether to stop the structure in consideration of the severity according to the defect diagnosis information, and to provide the corresponding preventive action when the operation stop is determined.

In the process of preventing real-time defect diagnosis of a structure according to an embodiment of the present invention as described above, the determination of the deformation mode of the structure will be described in detail with reference to FIGS. 8 to 14. As shown in FIG. In the simple form of a cantilever beam, it is possible to attach measurement sensors at regular intervals at fixed portions (Fig. 8 (2)) and input the rated load at the end of the cantilever (Fig. 8 (1)). When the deformation size ((3) of FIG. 8) is read and illustrated, the deformation mode as shown in (4) of FIG. 8 can be identified.

In (4) of FIG. 8, the black vertical line in the form of a dotted line is the deformation size measured by the measurement sensor, and the blue curve is the cantilever deformation mode by connecting the deformation size peak values in a state where the deformation size for each measurement sensor is arranged by sensor position. It shows a schematic diagram.

On the other hand, in the case of a helicopter structure (eg, including blades, tail blades, etc.) as shown in FIG. 9 which is a shape similar to a cantilever and a bridge structure as shown in FIG. 10, the same as the cantilever beam as described above. In this way, it is possible to perform a diagnosis on the deformation size and deformation mode.

That is, in the case of the helicopter structure as shown in FIG. 9, a measurement sensor can be attached to the blades, tail wings, etc. to measure and grasp the deformation size and deformation mode in the same manner as a cantilever, and the bridge structure as shown in FIG. In this case, it is possible to measure and grasp the deformation size and deformation mode respectively occurring in the upper, lower, left, and right sides in the same way.

In addition, as shown in FIG. 11, reference data for a higher-order deformation mode, such as a second-order deformation mode and a third-order deformation mode, can be grasped. As in the second-order deformation mode, a negative value is obtained while the deformation size has a positive value. A deformation mode corresponding to a shape having a shape can be identified, and a deformation mode corresponding to a deformation size having a positive value after changing from a positive value to a negative value like the third deformation mode can be effectively recognized.

On the other hand, it is described in detail to determine whether a defect has occurred, the size of the defect, and the location of the defect through detailed measurement. In the normal state, the deformation increases constantly as the distance from the fixed part increases, whereas when a defect occurs, the defect location is determined. As a reference, it can be seen that the deformation increases rapidly. As shown in FIG. 12, the deformation increases the slope as the defect size increases, and the slope of the graph based on the occurrence location increases, as described above. In this way, it is possible to accurately determine whether a defect has occurred, the size of the defect, and the location of the defect.

To this end, as shown in FIG. 13, after processing a hole in a cantilever and storing the change in characteristics according to the hole size and hole position as a database, a preventive measure corresponding to the generated defect may be implemented.

For example, FIG. 14 shows changes in characteristics such as natural frequency and deformation according to the shape of the cantilever, and it can be seen that rigidity and deformation can be adjusted by changing only the shape without changing the mass. That is, the preventive measures according to the embodiment of the present invention may be determined in consideration of a change in form according to the defect diagnosis information.

Therefore, the present invention detects the change in characteristics due to the occurrence of defects in the structure, diagnoses the occurrence of defects, the size of the defects, and the location of the defects in real time in a stationary state and an operating state, and prevents database-based diagnosis when a defect is diagnosed. According to the information, optimized maintenance and failure prevention measures can be provided.

In addition, the present invention determines whether the structure is defective after measuring the static state deformation and the operating state deformation of the structure to establish the steady state reference data, and after measuring the operating state deformation of the structure and comparing it with the steady state reference data, Real-time defects of structures can be effectively diagnosed.

In addition, in the present invention, when it is determined that a defect in the structure has occurred, after stopping the operation of the structure, detailed measurement of the structure is performed to derive the defect diagnosis information, and then, by providing preventive action information corresponding to the defect diagnosis information, Rapid preventive measures can be taken in response to defects in the structure.

In the above description, various embodiments of the present invention have been presented and described, but the present invention is not necessarily limited thereto, and those of ordinary skill in the art to which the present invention pertains, within the scope of the technical spirit of the present invention. It will be easy to see that branch substitutions, modifications and changes are possible.

110: stop state reference data construction unit
120: operation state reference data construction unit
130: steady state reference data construction unit
140: operation status defect determination unit
150: detailed measurement unit
160: Prevention of action department

Claims (6)

Measuring the deformation of the stationary state of the structure to establish stationary state reference data, and
Measuring the deformation of the operating state of the structure to establish operating state reference data,
Establishing steady state reference data using the stationary state reference data and operating state reference data,
Determining whether or not the structure is defective after measuring the operating state deformation of the structure and comparing it with the steady state reference data,
When it is determined that a defect in the structure has occurred, performing detailed measurement of the structure after stopping the operation of the structure
Real-time defect diagnosis prevention method of the structure comprising a.
The method of claim 1,
The method for preventing real-time defect diagnosis of the structure,
After deriving defect diagnosis information through the detailed measurement, providing preventive action information corresponding to the defect diagnosis information
Real-time defect diagnosis prevention method of the structure further comprising.
The method of claim 1,
The stationary state reference data includes a stationary strain size and a stationary strain mode measured by inputting a rated load in the stationary state of the structure.
The method of claim 1,
The operation state reference data, a real-time defect diagnosis prevention method of a structure including an operation deformation size and operation deformation mode measured in response to the speed, rotational speed and operation on-off in the operation state of the structure.
The method of claim 2,
The defect diagnosis information includes whether a defect has occurred, a defect size, and a defect location.
The method of claim 5,
The preventive action information is a method for preventing real-time defect diagnosis of a structure including operation stoppage, maintenance status, location and shape.

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