JP7503283B2 - Vibration evaluation device and vibration evaluation system - Google Patents

Description

The present invention relates to a vibration evaluation device and a vibration evaluation system.

Conventionally, evaluation devices such as those disclosed in Patent Documents 1 and 2 have been proposed as a means of evaluating the condition of structures such as reinforced concrete.

Patent Document 1 discloses a crack depth measuring device that is composed of a heating laser device that irradiates and heats the surface of a structure, a first detection laser device that detects elastic waves generated in the structure due to the irradiation and heating at a detection position a predetermined distance away from the position of the irradiation and heating, a second detection laser device that measures the signal intensity of a reference signal when the elastic waves propagate through a crack-free portion from the position of the irradiation and heating to the position a predetermined distance away, and a calculation device that derives the crack depth from the detection results of both detection laser devices. In this calculation device, the crack depth is derived from the time difference or signal attenuation between the measurement signal and the reference signal detected by both detection laser devices.

Patent Document 2 discloses a discrimination program that causes a computer to execute a first correlation acquisition step of acquiring in advance three or more levels of first correlation between past inspection data for reinforced concrete members and the discrimination result of the deterioration state of the reinforced concrete members for the inspection data, a first input step of inputting inspection data obtained by inspecting the reinforced concrete members for which a deterioration state is to be newly discriminated, and a first discrimination step of discriminating the deterioration state of the reinforced concrete members based on the inspection data input in the first input step by referring to the first correlation acquired in the first correlation acquisition step.

JP 2012-230053 A Patent No. 6371027

Laser remote sensing is attracting attention as a method for evaluating the condition inside a structure, such as the shape of cracks that have developed inside the structure. Compared to other evaluation methods, laser remote sensing can perform measurements without contacting the structure. This has the advantage that it can easily measure places that are difficult for measurers to reach, such as high places, and that it can prevent variation in measurement data due to contact.

Vibration data measured using laser remote sensing methods can contain complex signal patterns resulting from the shape of cracks that have occurred inside a structure, such as their depth, angle relative to the thickness direction, width, and number of branches. However, at present, there is no highly accurate evaluation method that can evaluate the condition of a structure based on complex signal patterns. For this reason, evaluating the condition of a structure with high accuracy has been identified as a challenge.

In this regard, Patent Document 1 discloses an evaluation based on the timing at which vibration data is generated and signal strength. For this reason, the technology disclosed in Patent Document 1 does not evaluate the complex signal patterns contained in the vibration data. This makes it difficult to obtain highly accurate evaluation results for the state of the structure. Furthermore, with the technology disclosed in Patent Document 1, the evaluation results are highly dependent on the measurement position. For this reason, the measurement position needs to be measured precisely, and there is concern that accuracy may decrease due to measurement variability between measurers.

Furthermore, Patent Document 2 merely discloses a technology for determining the deterioration state of reinforced concrete based on the results of evaluating the condition of the reinforced concrete. As a result, the technology disclosed in Patent Document 2 cannot evaluate the condition of structures such as reinforced concrete based on vibration data, and cannot be used to solve the above-mentioned problems.

The present invention was devised in consideration of the above-mentioned problems, and its purpose is to provide a vibration evaluation device and a vibration evaluation system that can obtain highly accurate evaluation results.

The vibration evaluation device according to the first invention comprises a vibration generating device that generates vibrations in a structure, a measuring device that detects the vibrations generated in the structure using a laser, an evaluation device that evaluates the state of the structure based on vibration data measured using the measuring device, and a mounting unit that mounts the measuring device. The evaluation device is characterized by having an acquisition unit that acquires evaluation target information based on a signal pattern included in the vibration data, a reference database that stores associations between multiple pieces of previously acquired past evaluation target information and multiple pieces of reference information linked to the multiple pieces of past evaluation target information, a generation unit that references the reference database and generates evaluation data for the evaluation target information, and an output unit that outputs an evaluation result based on the evaluation data.

The vibration evaluation device according to the second invention is the first invention, further comprising a sensor for detecting external environment information that affects the measurement of the measuring device, and the acquisition unit acquires the evaluation target information by including the external environment information.

The vibration evaluation device according to the third invention is the first invention, further comprising an angle control unit that controls the angle of the laser emitted from the measurement device, and the acquisition unit acquires the evaluation target information by including angle information related to the angle.

The vibration evaluation device according to the fourth invention is the first invention, further comprising an imaging unit that images the structure including the irradiation position of the laser emitted from the measuring device, and the acquisition unit acquires the evaluation target information by including the captured image information.

The vibration evaluation device according to the fifth invention is characterized in that, in the first to fourth inventions, it further includes a moving body having the mounting portion.

The vibration evaluation device according to the sixth invention is any one of the first to fifth inventions, characterized in that the acquisition unit acquires the evaluation target information from data obtained by performing a Fourier transform on the signal pattern.

The vibration evaluation device according to the seventh invention is any one of the first to sixth inventions, characterized in that the reference information includes shape information relating to the shape of a crack occurring inside the structure, and the evaluation result includes, from the shape information, first shape information linked to the evaluation target information.

The vibration evaluation device according to the eighth invention is any one of the first to seventh inventions, characterized in that the reference database stores in advance standard evaluation data acquired as a standard for evaluating the evaluation data, and the output unit outputs the evaluation result including a result of comparing the evaluation data with the standard evaluation data.

The vibration evaluation system according to the ninth aspect of the present invention comprises a vibration generating device that generates vibrations in a structure, a measuring device that detects the vibrations generated in the structure using a laser, an evaluation means that evaluates the state of the structure based on the vibration data measured using the measuring device, and a mounting unit that mounts the measuring device. The evaluation means is characterized by having an acquisition means that acquires evaluation target information based on a signal pattern included in the vibration data, a reference database that stores associations between multiple pieces of previously acquired past evaluation target information and multiple pieces of reference information linked to the multiple pieces of past evaluation target information, a generation means that references the reference database and generates evaluation data for the evaluation target information, and an output means that outputs an evaluation result based on the evaluation data.

According to the first to eighth aspects of the invention, the generation unit references the reference database and generates evaluation data for the evaluation target information. This makes it possible to generate evaluation data based on past results, and to generate optimal evaluation data even when the vibration data contains complex signal patterns. This makes it possible to obtain highly accurate evaluation results.

In addition, according to the first to eighth aspects of the invention, the acquisition unit acquires evaluation target information based on a signal pattern included in the vibration data. Therefore, it is not necessary to include the measurement position, etc., as a minimum parameter required for evaluation. This makes it possible to prevent a decrease in accuracy due to measurement variability between people who measure.

In addition, according to the first to eighth aspects of the invention, the mounting section is equipped with a measuring device. This makes it possible to stabilize the measurement environment using the measuring device.

In particular, according to the second invention, the acquisition unit acquires the evaluation target information including external environment information. Therefore, it is possible to perform an evaluation that takes into account the influence of the external environment, such as external vibration acting on the measuring device. This makes it possible to suppress a decrease in evaluation accuracy due to the influence of the external environment.

In particular, according to the third invention, the acquisition unit acquires the evaluation target information including angle information. Therefore, a quantitative evaluation can be performed even when the measured vibration data changes depending on the angle at which the laser reaches the structure. This makes it possible to further improve the accuracy of the evaluation results.

In particular, according to the fourth aspect of the invention, the acquisition unit acquires the evaluation target information including image information. This allows the evaluation to be performed taking into account the surface condition of the structure. This makes it possible to further improve the accuracy of the evaluation results.

In particular, according to the fifth aspect of the invention, the moving body has a mounting section. This makes it possible to expand the range of structures that can be evaluated.

In particular, according to the sixth aspect of the invention, the acquisition unit acquires the evaluation target information from data obtained by performing a Fourier transform on the signal pattern. Therefore, it is possible to output an evaluation result even for slight differences in the signal pattern that accompany differences in the state of the structure. This makes it possible to easily generate optimal evaluation data even for evaluation target information that indicates a complex state of the structure.

In particular, according to the seventh invention, the evaluation result includes the first shape information for the evaluation target information. Therefore, the internal state of the structure can be quantitatively evaluated. This makes it possible to obtain evaluation results that eliminate the subjectivity of each measurer.

In particular, according to the eighth aspect of the invention, the output unit outputs an evaluation result including a result of comparing the evaluation data with the reference evaluation data. Therefore, it is possible to output an evaluation result that takes into account various conditions such as the installation environment of the structure and the measurement environment. This makes it possible to suppress the variation in the signal pattern that accompanies various conditions.

According to the ninth aspect of the invention, the generating means refers to the reference database and generates evaluation data for the evaluation target information. Therefore, it is possible to generate evaluation data based on past results, and it is possible to generate optimal evaluation data even when the vibration data contains complex signal patterns. This makes it possible to obtain highly accurate evaluation results.

According to the ninth aspect of the present invention, the acquisition means acquires evaluation target information based on a signal pattern included in the vibration data. Therefore, it is not necessary to include the measurement position, etc., as a minimum parameter required for evaluation. This makes it possible to prevent a decrease in accuracy due to measurement variation between individuals.

According to the ninth aspect of the invention, the mounting unit is equipped with a measuring device. This makes it possible to stabilize the measurement environment using the measuring device.

FIG. 1 is a schematic diagram showing an example of an outline of a vibration evaluation system and a vibration evaluation device according to the present embodiment. FIG. 2 is a schematic diagram showing an example of the operation of the vibration evaluation system and the vibration evaluation device in this embodiment. FIG. 3A is a graph showing an example of vibration data, and FIG. 3B is a graph showing an example of data obtained by Fourier transforming a signal pattern. FIG. 4 is a schematic diagram showing an example of the reference database. FIG. 5 is a schematic diagram showing another example of the reference database. FIG. 6 is a schematic diagram showing yet another example of the reference database. FIG. 7A is a schematic diagram showing an example of the configuration of an evaluation device in this embodiment, and FIG. 7B is a schematic diagram showing an example of the function of the evaluation device in this embodiment. FIG. 8A is a schematic diagram showing an example of a result of comparing the evaluation data with the reference evaluation data, and FIG. 8B is a schematic diagram showing an example of image information. FIG. 9 is a schematic diagram showing an example of a moving body in this embodiment. FIG. 10 is a schematic diagram showing a first modified example of the moving body in this embodiment. FIG. 11 is a flowchart showing an example of the operation of the vibration evaluation system in this embodiment.

Below, an example of a vibration evaluation device and a vibration evaluation system according to an embodiment of the present invention will be described with reference to the drawings.

An example of a vibration evaluation system 100s and a vibration evaluation device 100 in this embodiment will be described with reference to Figures 1 and 2. Figure 1 is a schematic diagram showing an example of an overview of the vibration evaluation system 100s and the vibration evaluation device 100 in this embodiment. Figure 2 is a schematic diagram showing an example of the operation of the vibration evaluation system 100s and the vibration evaluation device 100 in this embodiment.

(Vibration evaluation system 100s)
The vibration evaluation system 100s is used to evaluate the state of the structure 9 based on vibration data measured by a laser remote sensing method targeting the structure 9. By using the vibration evaluation system 100s, the internal state of the structure 9, such as the depth and shape of cracks 91, can be evaluated.

The structure 9 refers to a structure in which vibrations are generated by hammering sounds, such as tunnels and bridges made of concrete, as well as metal pipes and buildings. In particular, the vibration evaluation system 100s is preferably used in places that are difficult for the measurer to reach, such as tunnels.

In the laser remote sensing method, a vibration generating device 3 such as a pulsed laser generator generates vibrations in the structure 9. Then, a measuring device 2 such as a laser interferometer detects the vibrations generated in the structure 9 using a laser emitted by the measuring device 2 itself, and measures them as vibration data. That is, vibration data can be measured while maintaining non-contact with the structure 9. Therefore, compared to a method of measuring vibration data by contacting the structure 9, for example, it is possible to suppress the variation in vibration data due to contact. In addition to a non-contact method, a contact method may be used as a method of generating vibrations in the structure 9. For example, the above-mentioned pulsed laser generator may be used as the vibration generating device 3 that generates vibrations in the structure 9, or a known vibration generating device such as a hammering device, a speaker, a gas generator, a water jet device, etc. may be used.

The vibration evaluation system 100s uses information from previous evaluations. Therefore, the inventors discovered that a highly accurate evaluation can be achieved by using the laser remote sensing method, which has less variation due to measurement conditions compared to methods such as ultrasonic methods that measure by contacting the structure 9.

The vibration evaluation system 100s includes a vibration evaluation device 100, as shown in FIG. 1, for example. The vibration evaluation device 100 includes an evaluation device 1, a measurement device 2, a vibration generating device 3, and a mounting unit 41, and may include at least one of a sensor 5, an angle control unit 6, and an imaging unit 7 shown in FIG. 9, for example. The vibration evaluation device 100 may be connected to a terminal 500, a server 600, etc., via a communication network 400, for example.

The vibration evaluation system 100s targets a structure 9 with a crack 91 confirmed on its surface, as shown in FIG. 2, for example. For example, a vibration generator 3 is used to generate vibrations in the structure 9. Then, a measuring device 2 is used to measure vibrations (vibration data) in the vicinity of the crack 91. The vibration evaluation device 100 acquires evaluation target information based on a signal pattern included in the measured vibration data. The vibration evaluation device 100 then refers to a reference database, generates evaluation data for the evaluation target information, and outputs an evaluation result based on the evaluation data. This makes it possible to output the state of the structure 9, such as the depth of the crack 91, as an evaluation result. Note that the evaluation result may display one item related to the state of the structure 9, or may display multiple candidates, such as "Depth 30 mm: 50%, 20 mm: 20%".

The following describes the vibration data, evaluation target information, and reference database used in the vibration evaluation system 100s.

<Vibration data>
The vibration data includes a signal pattern of a time waveform expressed by velocity (Velocity (m/s)) against time (Time (s)), as shown in FIG. 3(a), for example. The vibration data may be a known vibration measurement result. The vibration data includes a signal pattern from about 10 to 50 msec after the timing of vibration occurrence, for example, and may be arbitrarily set according to the situation.

The signal pattern shows a complex shape due to the superposition of surface waves that mainly pass through the surface of the structure 9 and internal elastic waves that pass through the inside of the structure 9. Therefore, the signal pattern obtained differs depending on the hammering method that generates vibrations, the measurement position, and the state of the structure 9 (for example, the shape of the crack 91). In this regard, the vibration evaluation system 100s can perform evaluation based on the signal pattern. Therefore, it is not necessary to make the exact measurement position a required parameter. In addition, since the measurement position is not a required parameter, it is not necessary to calculate the distance between the measurement position and the position of the crack 91 in the structure 9. Therefore, even if the crack 91 or cavity in the structure 9 occurs only inside and does not reach the surface of the structure 9, it is possible to obtain a highly accurate evaluation result.

<Information to be evaluated>
The evaluation target information is obtained, for example, from data obtained by Fourier transforming a time waveform signal pattern (e.g., FIG. 3(b)). The Fourier transformed data can be represented, for example, by magnitude versus frequency (Hz). In this case, for example, multiple characteristic values are extracted from the Fourier transformed data and obtained as the evaluation target information. Therefore, compared to directly evaluating the time waveform signal pattern, the characteristics of the entire superimposed vibrations can be the evaluation target. This makes it possible to output evaluation results even for slight differences in vibration data due to differences in the state of the structure 9.

In addition to the above, multiple characteristic values may be extracted from the signal pattern of the time waveform, for example, and acquired as the evaluation target information. In this case, there is no need to perform processing such as Fourier transform, and an increase in the number of data processing steps can be suppressed. Note that a publicly known technique such as principal component analysis can be used as a method for extracting the above-mentioned "characteristic values." This makes it possible to reduce the amount of data required for evaluation without including the subjectivity of the person making the measurement. Furthermore, accuracy can be improved by deleting unnecessary data (noise).

The evaluation target information may be obtained, for example, from data converted from a signal pattern into a Mel frequency spectrum, or from Mel Frequency Cepstrum Coefficients (MFCC). As the evaluation target information, data in a matrix (e.g., vector) format may be obtained, or data in an image format such as a spectrogram may be obtained.

The evaluation target information includes, for example, hammering information. The hammering information indicates information on the method of generating vibrations in the structure 9 (i.e., the hammering method) in order to measure vibration data, and indicates, for example, information on the type of vibration generating device 3. The hammering information includes, for example, identification information that differs for each hammering method that applies vibration to the structure 9, such as a pulsed laser, a hammer, a speaker, gas, or a water jet, and may also include information on hammering conditions, such as the oscillation conditions and irradiation angle of the pulsed laser, the type of hammer, and the time for which vibration is applied. By including the hammering information in the evaluation target information, it is possible to evaluate slight differences in signal patterns due to differences in the hammering methods, and it is also possible to perform different evaluations for different hammering methods, for example.

<Reference database>
The reference database stores associations between a plurality of pieces of past evaluation target information acquired in advance and a plurality of pieces of reference information each associated with a plurality of pieces of past evaluation target information. The associations are constructed by known machine learning using a plurality of pieces of learning data, for example, with the past evaluation target information and the reference information as a set of learning data. As the machine learning, deep learning such as a convolutional neural network may be used, or known techniques such as a random forest or an SVM (Support Vector Machine) may be used.

In this case, for example, the correlation is constructed by the degree of connection between many-to-many information (multiple past evaluation target information vs. multiple reference information). The correlation is appropriately updated during the machine learning process, and indicates, for example, a function (classifier) optimized based on past evaluation target information and reference information. Therefore, evaluation data for the evaluation target information is generated using the correlation based on multiple past evaluation results of the state of the structure 9. This makes it possible to generate optimal evaluation data even when complex signal patterns are included in the vibration data. In addition, optimal evaluation data can be quantitatively generated not only when the evaluation target information is the same as or similar to the past evaluation target information, but also when it is dissimilar. In addition, by improving the generalization ability when performing machine learning, it is possible to improve the evaluation accuracy for unknown signal patterns.

The reference database may store, for example, past evaluation target information and reference information used in machine learning learning data. The association may have, for example, multiple association degrees indicating the degree of connection between each piece of information. For example, when the reference database is constructed using a neural network, the association degrees can correspond to weight variables.

The past evaluation target information indicates information of the same type as the evaluation target information described above. When the past evaluation target information includes hammering sound information, the data based on the signal pattern and the hammering sound information can be used as a set of input data for machine learning. In addition to the above, machine learning may be performed using evaluation target information separated for each hammering sound information as input data, and ensemble learning may be performed for each hammering sound information.

The reference information is linked to past evaluation target information and indicates information on the state of the structure 9. The reference information includes, for example, shape information on the shape of cracks 91 occurring in the structure 9. The shape information includes at least one of the depth of the cracks 91 in the structure 9, the angle in the thickness direction of the structure 9, the width, the taper angle, the porosity, the water content, and the number of branches, and indicates a state that cannot be determined from the surface image of the structure 9 alone. The shape information includes values indicating constant values such as "depth 15 mm" and "width 13 mm," as well as values indicating ranges such as "depth 10-20 mm" and "width 5-10 mm," and the method of displaying the values is arbitrary.

The reference information may include, for example, classification information that classifies the state of the structure 9. The classification information may include, for example, definitive classifications such as "sound (normal)" and "defective (abnormal)", as well as classifications of the characteristics and judgment indicators of the cracks 91, such as "crack depth is xx mm or more" and "possible wide range of impact". The reference information may include, for example, specific examples of past evaluation results, such as "similar to the evaluation of xx tunnel on March 3, 2015", "cracks in xx tunnel expanded to xx mm on September 5, 2015", and "repaired on December 1, 2015", and the combination of contents may be set arbitrarily.

As shown in FIG. 4, for example, correlation may indicate the degree of connection between multiple pieces of past evaluation target information and multiple pieces of reference information. In this case, correlation can be used to link and store the degree of relationship between multiple pieces of reference information ("Reference A" to "Reference C" in FIG. 4) and each piece of past evaluation target information ("Target A" to "Target C" in FIG. 4). Therefore, for example, correlation can be used to link multiple pieces of reference information to one piece of past evaluation target information, enabling the generation of multifaceted evaluation data.

The association has multiple associations that link each piece of past evaluation target information with each piece of reference information. The association is shown in three or more levels, such as a percentage, a 10-level scale, or a 5-level scale, and is shown, for example, by the characteristics of the line (for example, thickness, etc.). For example, "Subject A" included in the past evaluation target information shows an association AA of "62%" with "Reference A" included in the reference information, and an association AB of "26%" with "Reference B" included in the reference information. In other words, the "association" indicates the degree of connection between each piece of data, and for example, the higher the association, the stronger the connection between each piece of data. Note that when constructing associations by the above-mentioned machine learning, the association may be set to have three or more levels of association.

As shown in FIG. 5, for example, the degree of association may be linked to multiple reference information by treating two or more combinations of past evaluation target information (dashed lines in FIG. 5) as one target data. For example, the combination of "Target A" and "Target D" included in the past evaluation target information shows a degree of association ADA with "Reference A" of "25%" and a degree of association ADB with "Reference B" of "17%." In this case, a quantitative evaluation can be performed even when the evaluation target information evaluated with reference to the reference database is similar to both "Target A" and "Target D."

For example, as shown in FIG. 6, reference information may be linked to data that combines information based on signal patterns included in past evaluation target information ("Feature A" to "Feature C" in FIG. 6) and tapping sound information ("Tap A" to "Tap C" in FIG. 6). Note that at least one of external environment information, angle information, and image information, which will be described later, may be used instead of the tapping sound information. The associations shown in FIG. 4 to FIG. 6 may be constructed, for example, by the machine learning described above.

By using the above-mentioned correlation, it is possible to express with high accuracy the complex relationship between the past evaluation target information, each of which has multiple data, and the reference information. Therefore, even when the vibration data contains a complex signal pattern, it is possible to generate optimal evaluation data. It is also possible to realize a highly accurate evaluation of unknown signal patterns contained in the vibration data.

The reference database may store, for example, reference evaluation data. The reference evaluation data is acquired in advance as a standard for evaluating the evaluation data, and is stored in the reference database. As the reference evaluation data, for example, data corresponding to a healthy state of the structure 9 is used.

The reference database may store, for example, image information. The image information indicates an image of the surface of the structure 9, and may plot, for example, measurement positions and vibration positions. The image information is captured in advance, for example, by the imaging unit 7, and stored in the reference database.

Note that multiple reference databases may be constructed for each of at least any of the following content: striking sound information, external environment information, angle information, and image information.

(Evaluation Device 1)
Next, an example of the evaluation device 1 in this embodiment will be described with reference to Fig. 7. Fig. 7(a) is a schematic diagram showing an example of the configuration of the evaluation device 1 in this embodiment, and Fig. 7(b) is a schematic diagram showing an example of the function of the evaluation device 1 in this embodiment.

As the evaluation device 1, an electronic device such as a laptop (notebook) PC or a desktop PC is used. As shown in FIG. 7(a), for example, the evaluation device 1 includes a housing 10, a CPU (Central Processing Unit) 101, a ROM (Read Only Memory) 102, a RAM (Random Access Memory) 103, a storage unit 104, and I/Fs 105 to 107. Each of the components 101 to 107 is connected by an internal bus 110.

The CPU 101 controls the entire evaluation device 1. The ROM 102 stores the operation code of the CPU 101. The RAM 103 is a working area used when the CPU 101 is operating. The storage unit 104 stores various information such as a reference database and evaluation target information. As the storage unit 104, for example, a data storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive) is used. For example, the evaluation device 1 may have a GPU (Graphics Processing Unit) not shown.

The I/F 105 is an interface for transmitting and receiving various information to and from the measuring device 2, the vibration generating device 3, etc., as necessary, via a data communication means, and may be used, for example, to transmit and receive various information to and from the terminal 500, etc., via the communication network 400. The I/F 106 is an interface for transmitting and receiving information to and from the input section 108. For example, a keyboard is used as the input section 108, and the person measuring the evaluation device 1 inputs various information or control commands for the evaluation device 1 or the measurement device 2, etc., via the input section 108. The I/F 107 is an interface for transmitting and receiving various information to and from the output section 109. The output section 109 outputs various information stored in the storage section 104, or the processing status of the evaluation device 1 or the measurement device 2, etc. A display is used as the output section 109, and may be, for example, a touch panel type.

FIG. 7(b) is a schematic diagram showing an example of the functions of the evaluation device 1. The evaluation device 1 includes an acquisition unit 11, a generation unit 12, an output unit 13, and a storage unit 14, and may also include at least one of an update unit 15 and a control unit 16. Each function shown in FIG. 7(b) is realized by the CPU 101 using the RAM 103 as a working area to execute a program stored in the storage unit 104 or the like, and may be controlled by artificial intelligence, for example.

<Acquisition Unit 11>
The acquiring unit 11 acquires evaluation target information based on a signal pattern included in the vibration data. The acquiring unit 11 acquires vibration data measured using, for example, the measuring device 2, and performs processing such as Fourier transform on the signal pattern included in the vibration data to acquire evaluation target information. The acquiring unit 11 may acquire, for example, tapping information input in advance by a measurer or the like as part of the evaluation target information. In addition, the acquiring unit 11 may acquire, for example, tapping information including tapping conditions transmitted from the vibration generating device 3 by including it in the evaluation target information.

The acquisition unit 11 may acquire image information, for example, of the surface of the structure 9. The image information includes, for example, an image of the surface of the structure 9 including the irradiation position of the laser emitted from the measurement device 2, as well as an image of the surface of the structure 9 including the position where vibration is generated on the structure 9 using the vibration generating device 3 (for example, the laser irradiation position, the hammering position, etc.).

The image information may be input in advance by, for example, a measurer, or may be received from a terminal 500, etc. The acquisition unit 11 may also acquire image information captured by, for example, an imaging unit 7 having an imaging function.

The acquisition unit 11 may acquire, as numerical data, at least one of, for example, the measurement position of the vibration data in the image information and the vibration position where the structure 9 is vibrated to measure the vibration data in the image information.

The measurement position can be identified by the laser spot output from the measurement device 2 to acquire vibration data. Therefore, in addition to being acquired from the measurement device 2, the measurement position may also be acquired, for example, by the imaging unit 7, or may be directly input, for example, by the person making the measurement.

When a pulsed laser is used to vibrate the structure 9, the vibration position can be identified by the laser spot output from the vibration generator 3. For this reason, the vibration position may be acquired from the vibration generator 3, or may be acquired by, for example, the imaging unit 7. Note that the vibration position may be directly input based on image information captured by, for example, a measurer using the imaging unit 7. Note that the acquisition unit 11 may acquire, for example, at least one of the measurement position and the vibration position as part of the evaluation target information. In this case, an evaluation can be performed using the information of each position as an auxiliary parameter, making it possible to further improve accuracy.

<Generation Unit 12>
The generating unit 12 refers to the reference database and generates evaluation data for the evaluation target information. The generating unit 12 selects one or more pieces of reference information linked to the evaluation target information, for example, via association (classifier), and generates evaluation data reflecting the selected reference information.

The generation unit 12 extracts, for example, from among the multiple selected reference information, the reference information with the highest degree of association linked to the evaluation target information, and generates it as evaluation data. Note that multiple pieces of reference information may be extracted. In this case, for example, in addition to extracting reference information linked to a degree of association equal to or greater than a preset threshold, multiple pieces of reference information with relatively high degrees of association may be extracted.

When the generation unit 12 refers to a reference database such as that shown in FIG. 4, for example, it selects past evaluation target information that is identical or similar to the evaluation target information (for example, "target A": first target data). As the past evaluation target information, target data that partially or completely matches the evaluation target information is selected, as well as similar target data, for example. The degree of similarity to be selected can be set arbitrarily. Furthermore, multiple target data may be selected as the first target data.

The generating unit 12 selects reference information (first reference data) linked to the selected first target data, and the degree of association between the first target data and the first reference data (e.g., degree of association AA: first degree of association). For example, the generating unit 12 selects the first reference data "Reference A" linked to the first target data "Target A", and the first degree of association "62%" between "Target A" and "Reference A", and generates evaluation data including each selected data.

Furthermore, when multiple reference data and correlations are selected, in addition to the above-mentioned "Reference A" and "62%", the first reference data "Reference B" linked to the first target data "Target A" and the first correlation "26%" between "Target A" and "Reference B" may be selected as the first reference data and first correlation. In this way, the generation unit 12 generates evaluation data including the selected first reference data and first correlation.

<Output Unit 13>
The output unit 13 outputs an evaluation result based on the evaluation data. The output unit 13 generates and outputs an evaluation result by converting the evaluation data into a character string or the like that can be understood by a person performing measurement, for example, using a display format previously stored in the storage unit 104. The output unit 13 transmits the evaluation result to the output section 109 via the I/F 107, and also transmits the evaluation result to a terminal 500 or the like, for example, via the I/F 105.

For example, when the reference information includes shape information, the output unit 13 generates an evaluation result that includes shape information (e.g., first shape information) that is linked to the evaluation target information from among the shape information. This makes it possible to quantitatively evaluate the internal state of the structure 9.

The output unit 13 outputs an evaluation result including, for example, a result of comparing the evaluation data with the reference evaluation data. For example, as shown in FIG. 8(a), the output unit 13 uses Pearson's product-moment correlation coefficient to calculate the comparison result of each target evaluation data (the first evaluation data to the fifth evaluation data in FIG. 8(a)) against the reference evaluation data, and outputs the result by including it in the evaluation result. The output unit 13 may output, for example, a classification result such as color coding, "sound", or "high possibility of defect" based on the comparison result.

The output unit 13 outputs an evaluation result linked to at least one of the measurement positions of the vibration data in the image information and the vibration positions where the structure 9 was vibrated to measure the vibration data in the image information. The output unit 13 outputs the evaluation result including image information in which the measurement positions (e.g., positions ref, positions s1 to s5) and the vibration positions (e.g., position int) are plotted, as shown in FIG. 8(b), for example. The output unit 13 may output the evaluation result including numerical values such as X-Y coordinates corresponding to each position (positions ref, positions s1 to s5, position int) in the image, for example.

<Storage unit 14>
The storage unit 14 retrieves various data such as the reference database stored in the storage unit 104 as necessary. The storage unit 14 stores various data acquired or generated by each of the components 11 to 13 and 15 in the storage unit 104 as necessary.

<Update unit 15>
The update unit 15 updates, for example, the reference database. When the update unit 15 acquires a new relationship between past evaluation target information and reference information, the update unit 15 reflects the relationship in the correlation. For example, when a measurer or the like considers the accuracy of the evaluation result based on the evaluation result output by the output unit 13 and the evaluation device 1 acquires the consideration result, the update unit 15 updates the correlation included in the reference database based on the consideration result. The correlation is updated using, for example, machine learning.

<Control Unit 16>
The control unit 16 controls various conditions, such as laser emission conditions and detection conditions, in the measurement device 2. The control unit 16 may control various conditions in at least one of the vibration generating device 3, the sensor 5, the angle control unit 6, and the imaging unit 7, for example.

<Measurement device 2>
The measuring device 2 is used to measure vibrations generated in the structure 9. The measuring device 2, for example, emits a laser toward the structure 9. The measuring device 2 detects vibrations generated in the structure 9 by receiving the laser reflected from the structure 9, and generates vibration data. The measuring device 2 transmits the generated vibration data to the evaluation device 1. The measuring device 2 may have a function of, for example, performing a Fourier transform on a signal pattern included in the generated vibration data.

The measuring device 2 is mounted on the mounting portion 41. This allows the measuring device 2 to be fixed, making it possible to improve the measurement accuracy. The measuring device 2 may be directly connected to the evaluation device 1, or may be connected, for example, via a communication network 400. The measuring device 2 is controlled, for example, by the evaluation device 1. For example, a known laser interferometer or the like is used as the measuring device 2.

<Vibration Generator 3>
The vibration generating device 3 generates vibrations in the structure 9. The vibration generating device 3 generates vibrations in the structure 9 by, for example, emitting a pulsed laser beam to impact the surface of the structure 9, or by, for example, driving a hammer or the like to impact the surface of the structure 9. The vibration generating device 3 is directly connected to the evaluation device 1, or may be connected via, for example, a communication network 400. The vibration generating device 3 is controlled by, for example, the evaluation device 1. As the vibration generating device 3, a known device such as a pulsed laser generator, a hammering device, a speaker, a gas generator, or a water jet device is used.

<Mounting portion 41>
The mounting unit 41 mounts the measuring device 2, and may mount, for example, at least one of the vibration generating device 3 and the evaluation device 1. The mounting unit 41 fixes the measuring device 2 and the like, and suppresses the influence of the surrounding environment during measurement. As the mounting unit 41, a case-like structure may be used, or, for example, a planar structure may be used, and any structure is possible as long as it can fix the measuring device 2 and the like.

<Mobile object 4>
In the vibration evaluation system 100s, for example, the vibration evaluation device 100 may include a moving body 4, and the moving body 4 may have a mounting unit 41. This makes it possible to expand the range of evaluation that can be performed using the vibration evaluation device 100. Furthermore, by including the moving body 4, evaluation can be performed not only while the moving body 4 is stopped, but also while it is moving, which can lead to a significant reduction in evaluation time.

As the moving body 4, for example, a vehicle as shown in FIG. 9 is used. In this case, the moving body 4 has a housing-shaped mounting part 41, and also has, for example, a first support base 42, a second support base 43, an outrigger 44, an air suspension 45, and tires 46. As the moving body 4, for example, a known passenger car or truck is used.

The mounting unit 41 mounts, in addition to the measuring device 2, for example, the vibration generating device 3 and the evaluation device 1. The first support table 42 supports the measuring device 2. For example, a vibration isolation table is used as the first support table 42. The second support table 43 supports the vibration generating device 3. For example, an optical table is used as the second support table 43. Known components are used as the outriggers 44, air suspensions 45, and tires 46.

The vibration evaluation system 100s may have, for example, an alignment laser device 31, a first mirror 3m, a second mirror 31m, a first guide 2g, and a second guide 3g. The alignment laser device 31, the first mirror 3m, the second mirror 31m, the first guide 2g, and the second guide 3g are mounted on, for example, a mounting portion 41.

The alignment laser device 31 emits a laser used to adjust the emission position of the pulsed laser emitted from the vibration generator 3. The first mirror 3m controls the emission direction of each laser emitted from the vibration generator 3 and the alignment laser device 31. The second mirror 31m controls the emission direction of the laser emitted from the alignment laser device 31.

The first guide 2g controls the emission direction of the laser emitted from the measurement device 2. The second guide 3g controls the emission direction of each laser emitted from the vibration generating device 3 and the alignment laser device 31. Each guide 2g, 3g is supported, for example, by the first support base 42 and is connected to the angle control unit 6.

In addition to the above-mentioned vehicles, for example, trains, drones, etc. may be used as the moving body 4. In addition to the above, for example, as shown in FIG. 10, a guide mechanism with a bogie may be used as the moving body 4. In this case, the moving body 4 has a guide rail 41a and two or more bogies 47.

The guide rail 41a is supported by a dolly 47 and is formed along the shape of the structure 9. For example, if the structure 9 is a tunnel, the guide rail 41a is formed along the inner diameter of the tunnel. A mounting portion 41 is attached to the guide rail 41a, and the mounting portion 41 can slide on the guide rail 41a. The dolly 47 is provided, for example, at both ends of the guide rail 41a. This makes it possible to suppress the impact on vehicle traffic when evaluating a structure 9 formed along a road, such as in a tunnel. Also, for example, even if a jet fan 95 or lighting 96 is provided in the tunnel, the structure 9 near the jet fan 95 or lighting 96 can be easily evaluated.

<Sensor 5>
The sensor 5 detects external environment information that affects detection and measurement by the measurement device 2. The sensor 5 is mounted on, for example, a mounting portion 41. The sensor 5 is provided close to the measurement device 2 and supported by a first support base 42, as shown in Fig. 9 for example. The sensor 5 is directly connected to the evaluation device 1, and is also connected to the evaluation device 1 via, for example, a communication network 400. The sensor 5 is controlled by, for example, the evaluation device 1.

As external environment information, for example, information that may affect the measurement, such as vibration, acceleration, temperature, humidity, noise, etc., may be detected, and for example, multiple types may be detected. The evaluation device 1, for example, acquires the evaluation target information by including the external environment information. Therefore, it is possible to perform an evaluation of the vibration data measured using the measurement device 2, taking into account the influence of the external environment.

For example, when a vibration measuring instrument is used as the sensor 5, vibration acting on the measuring device 2 is detected as the external environment information. For example, when an accelerometer is used as the sensor 5, at least one of the magnitude of acceleration acting on the measuring device 2 and the direction of acceleration is detected as the external environment information.

For example, if a thermometer/hygrometer is used as the sensor 5, at least one of the temperature and humidity around the measuring device 2 is detected as the external environment information. For example, if a sound level meter is used as the sensor 5, noise around the measuring device 2 is detected as the external environment information.

<Angle control unit 6>
The angle control unit 6 controls the angle of the laser emitted from the measurement device 2. This allows the optical path of the laser to be set arbitrarily, and the laser can reach the structure 9 at an arbitrary angle. The angle control unit 6 is mounted on, for example, the mounting unit 41, and disposed at a position where the laser emitted from the measurement device 2 passes. The angle control unit 6 is connected to each guide 2g, 3g, for example, as shown in FIG. 9. The angle control unit 6 may be disposed at a position where the laser emitted from the vibration generating device 3 passes, and may control the angle of the laser. The angle control unit 6 is directly connected to the evaluation device 1, and is also connected to the evaluation device 1 via, for example, a communication network 400. The angle control unit 6 is controlled, for example, by the evaluation device 1.

The angle control unit 6 generates angle information related to the controlled angle. In addition to the above, for example, the evaluation device 1 may generate angle information based on the result of controlling the angle control unit 6. For example, the difference in the polar angle θ and azimuth angle φ of the laser before and after passing through the angle control unit 6 is detected as the angle information. For example, the evaluation device 1 acquires the evaluation target information by including the angle information. Therefore, it is possible to perform an evaluation based on the angle information for the vibration data measured using the measurement device 2.

<Communication Network 400>
The communication network 400 is, for example, an Internet network to which the evaluation device 1 is connected via a communication circuit. The communication network 400 may be configured as a so-called optical fiber communication network. The communication network 400 may be realized by a known communication network such as a wired communication network or a wireless communication network.

<Terminal 500>
The terminal 500 is provided, for example, at a location away from the measurement location, and is connected to the evaluation device 1 via the communication network 400. The terminal 500 is, for example, an electronic device such as a personal computer or a tablet terminal. The terminal 500 may have at least a part of the functions of the evaluation device 1, for example.

<Server 600>
The server 600 is provided, for example, at a location away from the measurement location, and is connected to the vibration evaluation device 100 via the communication network 400. The server 600 stores various types of data measured in the past, and various types of data are transmitted from the vibration evaluation device 100 as necessary.

<Imaging unit 7>
The imaging unit 7 images the structure 9 including the irradiation position of the laser emitted from the measurement device 2. The imaging unit 7 may image the structure 9 including the position where the structure 9 is vibrated using, for example, the vibration generating device 3. The imaging unit 7 is provided near the angle control unit 6 and mounted on the mounting unit 41, as shown in FIG. 9, for example. The imaging unit 7 transmits the captured image to the evaluation device 1. The imaging unit 7 may be directly connected to the evaluation device 1, or may be connected to the evaluation device 1 via, for example, a communication network 400. As the imaging unit 7, a known imaging device such as a digital camera is used.

(Example of Operation of Vibration Evaluation System 100s)
Next, an example of the operation of the vibration evaluation system 100s in this embodiment will be described with reference to a flowchart shown in FIG.

The vibration evaluation system 100s includes an evaluation means. As shown in FIG. 11, the evaluation means includes an acquisition means S110, a generation means S120, and an output means S130, and may include an update means S140. The evaluation means of the vibration evaluation system 100s may be performed using, for example, the vibration evaluation device 100, or may be performed using, for example, a terminal 500 or a server 600 for some of the means.

<Acquisition Means S110>
The acquiring means S110 acquires evaluation target information based on the signal pattern. For example, the vibration generating device 3 generates vibrations in the structure 9 using a preset tapping method. The measuring device 2 then emits a laser to the structure 9 and acquires the laser reflected by the structure 9. This allows the measuring device 2 to detect the vibrations generated in the structure 9 using the laser.

The acquisition unit 11 then acquires vibration data measured by the measuring device 2 or the like, and acquires evaluation target information based on a signal pattern included in the vibration data. The acquisition unit 11 may acquire one piece of evaluation target information based on, for example, one signal pattern, or may acquire one piece of evaluation target information based on, for example, multiple signal patterns. The acquisition unit 11 stores the acquired evaluation target information, etc. in the storage unit 104, for example via the memory unit 14.

The acquisition unit 11 may acquire, for example, hammering information related to a hammering method in which the vibration generating device 3 generates vibrations in the structure 9 by including it in the evaluation target information. In this case, for example, the acquisition unit 11 may acquire hammering information via the vibration generating device 3 or the control unit 16, or may acquire hammering information input by a measurer or the like via the input unit 108.

The acquisition unit 11 may acquire, for example, external environment information detected by the sensor 5 by including it in the evaluation target information. In this case, for example, the acquisition unit 11 acquires the external environment information detected by the sensor 5 simultaneously with or before or after the timing at which the measurement device 2 detects vibration.

The acquisition unit 11 may acquire, for example, angle information related to the angle controlled by the angle control unit 6 by including it in the evaluation target information. In this case, for example, the acquisition unit 11 may acquire angle information via the angle control unit 6 or the control unit 16, or may acquire angle information input by the measurer via the input unit 108.

The acquisition unit 11 may acquire, for example, image information captured by the imaging unit 7 by including it in the evaluation target information. In this case, for example, the acquisition unit 11 acquires image information detected by the imaging unit 7 at the same time as or around the time when the measurement device 2 detects vibration.

<Generation Means S120>
The generating means S120 refers to the reference database and generates evaluation data for the evaluation target information. The generating unit 12 extracts reference information (first reference data) that has a high degree of relationship with the evaluation target information, for example, via the association stored in the reference database. The generating unit 12 generates evaluation data including the extracted first reference data. The generating unit 12 stores the generated evaluation data in the saving unit 104, for example, via the memory unit 14.

In addition to the above, for example, the generation unit 12 selects first target data that includes information identical or similar to the evaluation target information from among the past evaluation target information stored in the reference database. The generation unit 12 selects first reference data that is linked to the selected first target data from among the reference information stored in the reference database, and selects a first degree of association between the first target data and the first reference data.

When the evaluation target information includes at least one of external environment information, angle information, image information, and hammering sound information in addition to data based on a signal pattern, the generation unit 12 extracts first reference data for a combination of data based on a signal pattern and external environment information, etc. In this case, different first reference data can be extracted for data based on the same signal pattern, for example, depending on the content of the external environment information, etc. This makes it possible to suppress a decrease in evaluation accuracy due to the influence of the external environment. In addition, since it is possible to extract first reference data that takes into account slight differences in measurement data due to differences in hammering sound information, etc., it is possible to improve evaluation accuracy.

In addition to the above, the generating unit 12 may generate evaluation data based on at least one of external environment information, angle information, and image information after extracting first reference data for data based on a signal pattern, for example. In this case, the data capacity of the reference database can be reduced compared to the method of extracting the first reference data described above.

<Output Means S130>
The output unit S130 outputs an evaluation result based on the evaluation data. The output unit 13 generates and outputs an evaluation result by converting the evaluation data into a character string or the like that can be understood by a person performing measurement.

This ends the operation of the vibration evaluation system 100s in this embodiment.

<Update Means S140>
For example, when a relationship between past evaluation target information and reference information is newly acquired, the relationship may be reflected in the association (update means S140). The update unit 15 updates the association contained in the reference database based on the results of the evaluation results by the measurer, etc. The timing and frequency of the update unit 15 are arbitrary.

According to this embodiment, the generation unit 12 refers to the reference database and generates evaluation data for the evaluation target information. Therefore, it is possible to generate evaluation data based on past results, and it is possible to generate optimal evaluation data even when the vibration data contains complex signal patterns. This makes it possible to obtain highly accurate evaluation results.

Furthermore, according to this embodiment, the acquisition unit 11 acquires evaluation target information based on the signal pattern included in the vibration data. Therefore, it is not necessary to include the measurement position, etc., as a minimum parameter required for evaluation. This makes it possible to prevent a decrease in accuracy due to measurement variation between people who measure.

In addition, according to this embodiment, the mounting unit 41 is equipped with the measuring device 2. This makes it possible to stabilize the measurement environment using the measuring device 2.

In addition, according to this embodiment, the acquisition unit 11 acquires the evaluation target information including external environment information. Therefore, it is possible to perform an evaluation that takes into account the influence of the external environment, such as external vibration acting on the measurement device 2. This makes it possible to suppress a decrease in evaluation accuracy due to the influence of the external environment.

In addition, according to this embodiment, the acquisition unit 11 acquires the evaluation target information by including angle information. Therefore, a quantitative evaluation can be performed even when the measured vibration data changes depending on the angle at which the laser reaches the structure 9. This makes it possible to further improve the accuracy of the evaluation results.

In addition, according to this embodiment, the acquisition unit 11 acquires the evaluation target information including image information. Therefore, it is possible to perform an evaluation that takes into account the surface condition of the structure 9. This makes it possible to further improve the accuracy of the evaluation results.

In addition, according to this embodiment, the moving body 4 has a mounting portion 41. This makes it possible to expand the range in which the structure 9 can be evaluated.

In addition, according to this embodiment, the acquisition unit 11 acquires the evaluation target information from data obtained by Fourier transforming the signal pattern. Therefore, it is possible to output an evaluation result even for slight differences in the signal pattern due to differences in the state of the structure 9. This makes it possible to easily generate optimal evaluation data even for evaluation target information that indicates a complex state of the structure 9.

In addition, according to this embodiment, the evaluation target information and the past evaluation target information may include hammering information on the method of applying vibration to the structure 9 in order to measure vibration data, for example. In this case, optimal evaluation data can be generated for each of the various hammering methods used in the vibration generating device 3. This makes it possible to further improve the accuracy of the evaluation results obtained.

Furthermore, according to this embodiment, the evaluation result includes the first shape information for the evaluation target information. Therefore, the internal state of the structure 9 can be quantitatively evaluated. This makes it possible to obtain an evaluation result that eliminates the subjectivity of each measurer.

Furthermore, according to this embodiment, the output unit 13 outputs an evaluation result including a result of comparing the evaluation data with the reference evaluation data. Therefore, it is possible to output an evaluation result that takes into account various conditions such as the installation environment of the structure 9 and the measurement environment. This makes it possible to suppress the variation in the signal pattern that accompanies various conditions.

In addition, according to this embodiment, the output unit 13 may output an evaluation result linked to at least one of the measurement position and the vibration position, for example. In this case, when evaluating changes over time, the previous measurement conditions, etc. can be easily understood. This makes it possible to easily perform measurements, analyses, etc. based on the evaluation results.

According to this embodiment, the generating means S120 refers to the reference database and generates evaluation data for the evaluation target information. Therefore, it is possible to generate evaluation data based on past results, and even when the vibration data contains complex signal patterns, it is possible to generate optimal evaluation data. This makes it possible to obtain highly accurate evaluation results.

Furthermore, according to this embodiment, the acquisition means S110 acquires evaluation target information based on the signal pattern contained in the vibration data. Therefore, it is not necessary to include the measurement position, etc. as a minimum parameter required for evaluation. This makes it possible to prevent a decrease in accuracy due to measurement variation between people who measure.

The vibration evaluation device 100 and vibration evaluation system 100s described above can evaluate the state of structures 9, such as buildings, embankments, instrumentation piping, gas tanks, airplanes, ships, fences, walls, water pipes, gas pipes, signs installed on buildings, railways, and products containing hard materials, ceramics, or dispersants. Therefore, it is possible to obtain highly accurate evaluation results for structures 9, even for structures 9 that have been difficult to evaluate or difficult to improve accuracy in the past.

Although an embodiment of the present invention has been described, this embodiment is presented as an example and is not intended to limit the scope of the invention. These novel embodiments can be embodied in various other forms, and various omissions, substitutions, and modifications can be made without departing from the gist of the invention. These embodiments and their modifications are included within the scope and gist of the invention, and are included in the scope of the invention and its equivalents described in the claims.

1: Evaluation device 10: Housing 11: Acquisition unit 12: Generation unit 13: Output unit 14: Storage unit 15: Update unit 16: Control unit 101: CPU
102: ROM
103: RAM
104: Storage unit 105: I/F
106: I/F
107: I/F
108: Input section 109: Output section 110: Internal bus 2: Measuring device 2g: First guide 3: Vibration generating device 3g: Second guide 3m: First mirror 31: Alignment laser device 31m: Second mirror 4: Moving body 41: Mounting section 41a: Guide rail 42: First support base 43: Second support base 44: Outrigger 45: Air suspension 46: Tire 47: Cart 5: Sensor 6: Angle control section 7: Imaging section 9: Structure 95: Jet fan 96: Lighting 100: Vibration evaluation device 100s: Vibration evaluation system 400: Communication network 500: Terminal 600: Server S110: Acquisition means S120: Generation means S130: Output means S140: Update means

Claims (8)

A vibration generator that generates vibrations in a structure;
A measuring device that detects vibrations generated in the structure using a laser;
an evaluation device for evaluating a state of the structure based on vibration data measured by the measuring device; and
A mounting unit for mounting the measuring device;
Equipped with
The evaluation device includes:
an acquisition unit that acquires evaluation target information based on a signal pattern included in the vibration data;
A reference database in which associations between a plurality of pieces of previously acquired past evaluation target information and a plurality of pieces of reference information each associated with the plurality of pieces of previously acquired evaluation target information are stored;
a generation unit that references the reference database and generates evaluation data for the evaluation target information;
an output unit that outputs an evaluation result based on the evaluation data;
Having
Furthermore, the reference information includes shape information regarding a shape of a crack occurring inside the structure,
The evaluation result includes first shape information associated with the evaluation target information among the shape information.
A vibration evaluation device comprising: A sensor for detecting external environment information that affects the measurement of the measuring device is further provided.
2. The vibration evaluation device according to claim 1, wherein the acquisition unit acquires the evaluation target information by including the external environment information therein. An angle control unit that controls an angle of the laser emitted from the measurement device,
2. The vibration evaluation device according to claim 1, wherein the acquisition unit acquires the evaluation target information by including angle information regarding the angle in the evaluation target information. An imaging unit that images the structure including the irradiation position of the laser emitted from the measurement device,
2. The vibration evaluation device according to claim 1, wherein the acquisition unit acquires the evaluation target information by including the captured image information in the evaluation target information. 5. The vibration evaluation device according to claim 1, further comprising a moving body having the mounting portion. 6. The vibration evaluation device according to claim 1, wherein the acquisition section acquires the evaluation object information from data obtained by performing a Fourier transform on the signal pattern. The reference database stores in advance reference evaluation data acquired as a standard for evaluating the evaluation data,
7. The vibration evaluation device according to claim 1, wherein the output unit outputs the evaluation result including a result of comparing the evaluation data with the reference evaluation data. A vibration generator that generates vibrations in a structure;
A measuring device that detects vibrations generated in the structure using a laser;
an evaluation means for evaluating a state of the structure based on vibration data measured by the measuring device; and
A mounting unit for mounting the measuring device;
Equipped with
The evaluation means includes:
an acquisition means for acquiring evaluation target information based on a signal pattern included in the vibration data;
A reference database in which associations between a plurality of pieces of past evaluation target information acquired in advance and a plurality of pieces of reference information each linked to the plurality of pieces of past evaluation target information are stored;
a generating means for generating evaluation data for the evaluation target information by referring to the reference database;
an output means for outputting an evaluation result based on the evaluation data;
Having
Furthermore, the reference information includes shape information regarding a shape of a crack occurring inside the structure,
The evaluation result includes first shape information associated with the evaluation target information among the shape information.
A vibration evaluation system characterized by:

Images