Cultural relic acoustic emission multi-source information disease monitoring method and device

Abstract

The invention discloses a cultural relic acoustic emission multi-source information disease monitoring method and device, and the method comprises the steps: building a three-dimensional model through sound signals received by acoustic emission receivers erected around a cultural relic, and carrying out the intelligent correction of the model through combining with the data of an environment sensor, thereby generating a cultural relic model. And then comparing the correction model with a standard model to locate a difference region, extracting a cultural relic disease section based on a difference position and converting the cultural relic disease section into a high-contrast binary image, specifically representing that the model part is black and the disease part is white, and identifying the disease type and degree through image processing. And finally outputting disease position, type and degree information. According to the method and device provided by the invention, acoustic emission modeling, environment dynamic correction and image recognition technologies are fused, non-contact monitoring is realized, the light damage risk of traditional optical shooting to cultural relics is thoroughly avoided, the problems of low manual monitoring efficiency and difficulty in small disease recognition are solved, and the disease detection precision and protection efficiency of the cultural relics are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of cultural relics protection, and in particular to a method and device for monitoring cultural relics damage with multi-source information through acoustic emission. Background Art

[0002] Cultural relics are a vital part of humanity's cultural heritage, carrying rich historical and cultural value. However, due to long-term impacts from natural erosion, environmental changes, and human factors, cultural relics face threats such as weathering, corrosion, cracks, fading, and biological invasion, seriously endangering their preservation and value. Therefore, effective monitoring of cultural relics for damage is crucial for timely detection, assessment of damage, and the development of protective measures.

[0003] Currently, there are two main methods for monitoring cultural relics for damage: regular manual observation and recording; and image processing and analysis after photography. Manual methods require significant manpower for observation, recording, and research, which is time-consuming and labor-intensive, hindering research efficiency. Image processing methods, while more efficient and labor-saving than manual methods, require regular, fixed-point photography. Lighting conditions can damage cultural relics, hindering their conservation. Furthermore, the color variations in actual cultural relic images are subtle, making image processing difficult to detect subtle or inconspicuous defects. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to address the deficiencies in the above-mentioned prior art and provide a method and device for monitoring damage to cultural relics using multi-source information using acoustic emission. A three-dimensional model of the cultural relics is established through acoustic emission information, and the model is corrected in combination with environmental information. At the same time, damage to the cultural relics is identified by superimposing image processing, thereby monitoring the damage to the cultural relics without damaging them, thereby completing the protection of the cultural relics.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is: a method and device for monitoring the damage of cultural relics using multi-source information of acoustic emissions.

[0006] Among them, a method for monitoring damage of cultural relics using acoustic emission multi-source information includes: Step 1: An acoustic transmitter receiver installed in a cultural relic protection room and located around the cultural relic emits an acoustic signal and receives a returned acoustic signal, and a three-dimensional model of the cultural relic is determined based on the emitted and received acoustic signals; Step 2: Collecting environmental information of the cultural relic protection room through environmental sensors, and modifying the three-dimensional model according to the environmental information to obtain a cultural relic model; Step 3: Compare the cultural relic model with the standard model to obtain the difference part, and obtain the cross section of the cultural relic model according to the location of the difference part to obtain the cultural relic damage cross section; Step 4: converting the damaged cross section of the cultural relic into a cultural relic damage image, and determining the type and degree of damage to the cultural relic by image processing; Step 5: The location of the difference portion is used as the location of the cultural relic damage, and is output in combination with the type of cultural relic damage and the degree of the cultural relic damage.

[0007] Furthermore, in step 1, determining the three-dimensional model of the cultural relic based on the emitted sound signal and the received sound signal includes: The distance between the acoustic emission receiver and the current detection point of the cultural relic is obtained based on the time difference between the time when the acoustic signal is emitted and the time when the acoustic signal is received; Obtain the position of the acoustic emission receiver, and determine the position of the current detection point based on the position of the acoustic emission receiver, the angle of the acoustic signal, and the distance between the acoustic emission receiver and the current detection point of the cultural relic; Traverse all detection points of the cultural relic to obtain a three-dimensional model of the cultural relic.

[0008] Furthermore, a track is set up in the cultural relic protection room, and the track is spirally arranged around the cultural relic, and the sound emission receiver slides on the track through a slider.

[0009] Furthermore, obtaining the position of the acoustic emission receiver includes: Obtaining distances detected by distance sensors installed on six front faces of the acoustic emission receiver; The position of the acoustic emission receiver is determined based on the distances detected by the six distance sensors.

[0010] Furthermore, in step 2, the three-dimensional model is modified according to the environmental information to obtain a cultural relic model, including: The environmental information is fed into a pre-trained neural network model to obtain repair information corresponding to the environmental information; Correcting the three-dimensional model according to the restoration information to obtain a cultural relic model; The neural network model is used to output corresponding repair information based on the input environmental information; The repair information includes: no repair, enlarging the discontinuous portion, and shrinking the discontinuous portion.

[0011] Furthermore, in step 3, obtaining a cross section of the cultural relic model according to the location of the difference portion to obtain a cross section of the cultural relic damage includes: According to the shape of the different part, determine the positive direction of the different part, and determine the angle to be adjusted according to the positive direction of the different part; adjusting the artifact model according to the angle; The cultural relic model is intercepted at the difference portion using three vertical cross sections to obtain three cultural relic damage cross sections.

[0012] Furthermore, the intersection of the three vertical cross sections is located at the center point of the difference portion.

[0013] Furthermore, in step 4, converting the cultural relic damage cross section into a cultural relic damage image includes: Assigning grayscale values ​​to each point of the damaged cross section of the cultural relic; When the point on the cross section of the cultural relic damage comes from the part of the cultural relic model, the gray value is 0; When the point on the cross section of the cultural relic damage does not come from the part of the cultural relic model, the grayscale value is 255; Traverse all points on the cross section of the cultural relic damage, and the output grayscale image is the cultural relic damage image.

[0014] Furthermore, in step 4, determining the type and degree of damage to the cultural relic by image processing includes: According to the gray value of each point in the cultural relic disease image, the contours in each cultural relic disease image are extracted, and the contours in each cultural relic disease image are represented by a function; The function corresponding to the contour in each cultural relic disease image is searched in a pre-built disease database to obtain the corresponding cultural relic disease type and degree of cultural relic disease; The damage database is used to store functions and the types and degrees of cultural relics damage corresponding to the functions.

[0015] In addition, a cultural relic acoustic emission multi-source information disease monitoring device includes: A three-dimensional model building module is used to send out sound signals through an acoustic transmitter receiver set up around the cultural relic in the cultural relic protection room, and receive the returned sound signals, and determine the three-dimensional model of the cultural relic based on the sent and received sound signals; A three-dimensional model correction module is used to collect environmental information of the cultural relic protection room through environmental sensors, and to correct the three-dimensional model according to the environmental information to obtain a cultural relic model; A damage cross-section acquisition module is used to compare the cultural relic model with the standard model to obtain the difference part, and obtain the cross section of the cultural relic model according to the location of the difference part to obtain the cultural relic damage cross-section; A damage condition judgment module is used to convert the damaged cross section of the cultural relic into a damaged cultural relic image, and determine the type and degree of damage to the cultural relic through image processing; The cultural relic disease output module is used to take the location of the difference part as the location of the cultural relic disease, and output it in combination with the cultural relic disease type and the cultural relic disease degree.

[0016] Compared with the prior art, the present invention has the following advantages: This invention provides a method and device for monitoring cultural relics for defects using multi-source acoustic emission information. By integrating acoustic emission modeling, environmental information correction, and image processing and recognition technologies, it significantly improves the efficiency and safety of cultural relic defect monitoring. First, acoustic emission receivers installed around the cultural relic (preferably using a spiral track to achieve multi-angle coverage) actively transmit and receive acoustic signals, accurately calculate acoustic path differences and angle information, and efficiently construct a three-dimensional model of the cultural relic. This completely non-contact process completely avoids the potential damage to the cultural relic caused by the light from the camera in traditional image monitoring methods, while also addressing the inefficiency and subjectivity of manual monitoring. Second, environmental sensors collect real-time environmental parameters (such as temperature and humidity) in the cultural relic conservation room. A trained neural network model is used to analyze the impact of these environmental factors on acoustic wave propagation and model accuracy. Repair information (such as no repair, enlargement or reduction of model discontinuities) is intelligently output. Based on this information, the initially constructed three-dimensional model is dynamically modified to generate a "cultural relic model" that more closely reflects the actual condition of the cultural relic, significantly improving the model's accuracy and robustness in complex environments. Next, the modified cultural relic model is intelligently compared with the standard model to precisely locate discrepancies (potential damage areas). The model angle is intelligently adjusted based on the discrepant shapes, and three mutually perpendicular damage cross-sections are acquired at the center of this area. This innovative method converts these spatial cross-sectional data into high-contrast binary grayscale images (model components are black, discrepancies / damage components are white), significantly enhancing the visual recognition of damage features. This overcomes the bottleneck in traditional image processing, which often hinders the identification of subtle or inconspicuous damage due to subtle color variations on cultural relic surfaces. Finally, these damage images are subjected to contour extraction and functional representation, and intelligently matched against a pre-built damage database to accurately determine damage type (e.g., cracks, corrosion) and quantify damage severity. Finally, comprehensive and objective monitoring results are generated by combining information on damage location, type, and severity. In summary, this invention achieves high-precision, non-destructive, and automated monitoring of cultural relic damage (especially minor, early-stage damage), providing a reliable basis for timely damage assessment and the development of scientific conservation strategies, effectively safeguarding the long-term preservation and heritage value of cultural relics.

[0017] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a schematic diagram of the overall process of a cultural relic acoustic emission multi-source information disease monitoring method provided by the present invention.

[0019] Figure 2 This is a schematic diagram of the overall structure of a cultural relic acoustic emission multi-source information disease monitoring device provided by the present invention. DETAILED DESCRIPTION

[0020] like Figure 1-2 As shown, the present invention provides a method and device for monitoring damage to cultural relics using multi-source information using acoustic emission, wherein the method comprises five steps from step 1 to step 5: Step 1: An acoustic transmitter receiver installed in a cultural relic protection room and located around the cultural relic emits an acoustic signal and receives a returned acoustic signal, and a three-dimensional model of the cultural relic is determined based on the emitted and received acoustic signals; Step 2: Collecting environmental information of the cultural relic protection room through environmental sensors, and modifying the three-dimensional model according to the environmental information to obtain a cultural relic model; Step 3: Compare the cultural relic model with the standard model to obtain the difference part, and obtain the cross section of the cultural relic model according to the location of the difference part to obtain the cultural relic damage cross section; Step 4: converting the damaged cross section of the cultural relic into a cultural relic damage image, and determining the type and degree of damage to the cultural relic by image processing; Step 5: The location of the difference portion is used as the location of the cultural relic damage, and is output in combination with the type of cultural relic damage and the degree of the cultural relic damage.

[0021] The core of this invention lies in the integration of acoustic emission modeling, dynamic environmental correction, and intelligent image recognition technology to achieve non-destructive and accurate monitoring of cultural relics damage. The principles and effects of each step are described in detail below.

[0022] In step 1, the primary goal is to construct a 3D model. A spiral track is set up inside the conservation room, and an acoustic transmitter and receiver, using a slider, moves along the track, achieving multi-angle coverage. The receiver actively transmits acoustic signals toward the artifact and receives reflected signals, ultimately determining the artifact's 3D model.

[0023] Wherein, determining the three-dimensional model of the cultural relic based on the emitted sound signal and the received sound signal in step 1 includes: The distance between the acoustic emission receiver and the current detection point of the cultural relic is obtained based on the time difference between the time when the acoustic signal is emitted and the time when the acoustic signal is received; Obtain the position of the acoustic emission receiver, and determine the position of the current detection point based on the position of the acoustic emission receiver, the angle of the acoustic signal, and the distance between the acoustic emission receiver and the current detection point of the cultural relic; Traverse all detection points of the cultural relic to obtain a three-dimensional model of the cultural relic.

[0024] This process involves the acoustic emission receiver actively transmitting acoustic signals to the cultural relic and receiving reflected signals, thereby establishing a three-dimensional model of the cultural relic. To reduce the number of acoustic emission receivers, a track is installed within the cultural relic preservation room. The track is spirally arranged around the cultural relic, and the acoustic emission receivers slide on the track via a slider. The following methods are used to determine the location of the acoustic emission receivers: Obtaining distances detected by distance sensors installed on six front faces of the acoustic emission receiver; The position of the acoustic emission receiver is determined based on the distances detected by the six distance sensors.

[0025] The principle of this step is: By calculating the time difference Δt between the transmission and reception of the acoustic signal and combining it with the speed of sound v, we can calculate the distance d = v × Δt / 2 from the acoustic signal to the detection point on the surface of the cultural relic. Use distance sensors installed on the six positive faces of the receiver to locate the spatial coordinates (x_s, y_s, z_s) of the receiver in real time; Combining the acoustic signal incident angle θ and distance d, the detection point position coordinates (x_p, y_p, z_p) are determined through spherical coordinate conversion. After traversing all detection points, the legal position coordinates (x_p, y_p, z_p) of all detection points are obtained, and then the initial 3D model is generated.

[0026] The technical effects produced by this step are: the spiral track design realizes fully automatic multi-angle scanning, avoiding the subjective errors of manual observation; the acoustic emission technology is completely non-contact, eliminating the risk of damage to cultural relics caused by light in traditional shooting.

[0027] In step 2, the main purpose is to generate an environmental correction model. Parameters such as temperature and humidity are collected in real time through environmental sensors, and input into a pre-trained neural network model. The neural network model is then used to assist in correcting the three-dimensional model.

[0028] That is, in step 2, the three-dimensional model is corrected according to the environmental information to obtain a cultural relic model, including: The environmental information is fed into a pre-trained neural network model to obtain repair information corresponding to the environmental information; Correcting the three-dimensional model according to the restoration information to obtain a cultural relic model; The neural network model is used to output corresponding repair information based on the input environmental information; The repair information includes: no repair, enlarging the discontinuous portion, and shrinking the discontinuous portion.

[0029] The technical principle of this step is: The neural network uses historical data to learn the mapping relationship between environmental factors (such as humidity affecting the speed of sound) and model distortion, and outputs three types of repair instructions: No repair: Environmental parameters are within ideal thresholds; Enlarge discontinuities: High humidity reduces the speed of sound, so areas such as cracks need to be enlarged. Reduce discontinuous parts: Low temperature causes the material to shrink, and the gap in the model needs to be compressed.

[0030] The initial model is dynamically adjusted according to the instructions, and the corrected "artifact model" is output.

[0031] Its technical effects are: Solving the problem of model distortion caused by environmental interference and improving the robustness of the model in complex environments are also the core advantages of the technical effects of the present invention, providing an accurate basis for subsequent disease identification.

[0032] In step 3, the main purpose is to locate the diseased area and extract the cross section, compare the corrected cultural relic model with the standard model (cultural relic health status model), and locate the difference area (potential disease).

[0033] The step 3 of obtaining the cross section of the cultural relic model according to the location of the difference portion to obtain the damaged cross section of the cultural relic includes: According to the shape of the different part, determine the positive direction of the different part, and determine the angle to be adjusted according to the positive direction of the different part; adjusting the artifact model according to the angle; The cultural relic model is intercepted at the difference portion using three vertical cross sections to obtain three cultural relic damage cross sections.

[0034] The intersection of the three vertical cross sections is located at the center point of the difference portion.

[0035] In the present invention, the standard model is pre-constructed. It is a standard model established after the original form of the cultural relic is conceived based on its shape and state. Each cultural relic has a standard model, which is usually used for electronic display after the cultural relic is restored.

[0036] The principle of this step is: Based on the geometric features of the difference area (such as long strips indicating cracks), determine its main direction vector n, that is, the direction of the disease on the cultural relic; Rotate the artifact model so that n is parallel to the coordinate axis and ensure that the cross section is perpendicular to the main body of the disease; Taking the center of the difference area as the origin, the model is intercepted by three mutually perpendicular planes to obtain the diseased sections S_1, S_2, and S_3.

[0037] The technical effect of this step is: Intelligent angle adjustment ensures that the cross section passes through the core of the disease accurately, avoiding missed detection due to improper cross section direction in traditional methods, which is also one of the technical innovations of the present invention.

[0038] In step 4, the main purpose is the disease image conversion and intelligent identification, which includes two aspects: one is the generation of binary images, and the other is the determination of the disease type and degree.

[0039] Specifically, for the generation of the binary image, that is, in step 4, converting the cultural relic disease cross section into a cultural relic disease image includes: Assigning grayscale values ​​to each point of the damaged cross section of the cultural relic; When the point on the cross section of the cultural relic damage comes from the part of the cultural relic model, the gray value is 0; When the point on the cross section of the cultural relic damage does not come from the part of the cultural relic model, the grayscale value is 255; Traverse all points on the cross section of the cultural relic damage, and the output grayscale image is the cultural relic damage image.

[0040] The principle of this technology is: Convert the diseased section S_i into a grayscale image: Points belonging to the cultural relic model are assigned a grayscale value of 0 (pure black); Points in the different areas (the area around the damage and the artifacts, but the damage is better identified by smoothness) are assigned a grayscale value of 255 (pure white).

[0041] The principle is to artificially amplify the difference between the disease and the background through extreme grayscale contrast, which is the key point of the technical effect of the present invention.

[0042] The effects it produces are: Completely solve the bottleneck of "small color differences on the surface of cultural relics making it difficult to identify defects" in traditional image processing.

[0043] Regarding the determination of the type and degree of damage, that is, in step 4, the determination of the type and degree of damage to the cultural relics by image processing includes: According to the gray value of each point in the cultural relic disease image, the contours in each cultural relic disease image are extracted, and the contours in each cultural relic disease image are represented by a function; The function corresponding to the contour in each cultural relic disease image is searched in a pre-built disease database to obtain the corresponding cultural relic disease type and degree of cultural relic disease; The damage database is used to store functions and the types and degrees of cultural relics damage corresponding to the functions.

[0044] The principle is: Extract the binary image contour and quantify it using Fourier descriptor or spline function; Fit a spline function to a disease database: Damage type: For example, a linear function corresponds to cracks, and a circular function corresponds to holes; Damage extent: quantify depth / width based on function parameters (e.g. amplitude / wavelength).

[0045] Its effect: Through functional expression + database matching, accurate classification and quantification of minor defects (such as early cracks) can be achieved.

[0046] In step 5, the main purpose is to integrate and output disease information.

[0047] Output three elements: location (difference coordinates in step 3), type (matching result in step 4), and degree (quantified value in step 4).

[0048] The ultimate goal of the invention is to provide conservation personnel with an actionable basis for decision-making and support targeted repairs.

[0049] At the same time, based on the same inventive concept, the present invention also provides a cultural relic acoustic emission multi-source information disease monitoring device, comprising: A three-dimensional model building module is used to send out sound signals through an acoustic transmitter receiver set up around the cultural relic in the cultural relic protection room, and receive the returned sound signals, and determine the three-dimensional model of the cultural relic based on the sent and received sound signals; A three-dimensional model correction module is used to collect environmental information of the cultural relic protection room through environmental sensors, and to correct the three-dimensional model according to the environmental information to obtain a cultural relic model; A damage cross-section acquisition module is used to compare the cultural relic model with the standard model to obtain the difference part, and obtain the cross section of the cultural relic model according to the location of the difference part to obtain the cultural relic damage cross-section; A damage condition judgment module is used to convert the damaged cross section of the cultural relic into a damaged cultural relic image, and determine the type and degree of damage to the cultural relic through image processing; The cultural relic disease output module is used to take the location of the difference part as the location of the cultural relic disease, and output it in combination with the cultural relic disease type and the cultural relic disease degree.

[0050] The three-dimensional model construction module: integrated spiral track, acoustic emission receiver and distance sensor, executes step 1; the three-dimensional model correction module: calls environment sensor and neural network model, executes step 2; the disease section acquisition module: realizes model comparison and intelligent section extraction, executes step 3; the disease condition judgment module: contains image conversion unit and database matching unit, executes step 4; the cultural relic disease output module: integrates spatial coordinates and disease data to generate a monitoring report.

[0051] The device of the present application realizes full-process automation, significantly reduces labor cost, and does not need frequent manual intervention after deployment.

[0052] The present application has the following advantages: Non-destructive monitoring: acoustic emission replaces optical shooting, and eliminates light damage; Micro-disease identification: environmental correction model + binary enhancement, recognition accuracy improved by >40%; Efficiency improvement: spiral track scanning + intelligent matching, single monitoring time reduced to 1 / 5 of manual method.

[0053] In summary, the present application establishes a three-dimensional model of cultural relics through acoustic emission information, and simultaneously corrects the model in combination with environmental information, and simultaneously superimposes image processing to identify the diseases of cultural relics, so as to monitor the diseases of cultural relics without damaging the cultural relics, and thus complete the protection of cultural relics.

[0054] The above is only a preferred embodiment of the present application, and does not limit the present application, and any simple modification, change and equivalent structure change according to the technical essence of the present application to the above embodiment are still within the protection scope of the technical solution of the present application.

Claims

1. A method for monitoring damage of cultural relics using multi-source acoustic emission information, characterized in that: include: Step 1: An acoustic transmitter receiver installed in a cultural relic protection room and located around the cultural relic emits an acoustic signal and receives a returned acoustic signal, and a three-dimensional model of the cultural relic is determined based on the emitted and received acoustic signals; Step 2: Collecting environmental information of the cultural relic protection room through environmental sensors, and modifying the three-dimensional model according to the environmental information to obtain a cultural relic model; Step 3: Compare the cultural relic model with the standard model to obtain the difference part, and obtain the cross section of the cultural relic model according to the location of the difference part to obtain the cultural relic damage cross section; Step 4: converting the damaged cross section of the cultural relic into a cultural relic damage image, and determining the type and degree of damage to the cultural relic by image processing; Step 5: The location of the difference portion is used as the location of the cultural relic damage, and is output in combination with the type of cultural relic damage and the degree of the cultural relic damage.

2. A method for monitoring damage to cultural relics using acoustic emission multi-source information according to claim 1, characterized in that: In step 1, determining a three-dimensional model of the cultural relic based on the emitted sound signal and the received sound signal includes: The distance between the acoustic emission receiver and the current detection point of the cultural relic is obtained based on the time difference between the time when the acoustic signal is emitted and the time when the acoustic signal is received; Obtain the position of the acoustic emission receiver, and determine the position of the current detection point based on the position of the acoustic emission receiver, the angle of the acoustic signal, and the distance between the acoustic emission receiver and the current detection point of the cultural relic; Traverse all detection points of the cultural relic to obtain a three-dimensional model of the cultural relic.

3. A method for monitoring damage to cultural relics using multi-source acoustic emission information according to claim 2, characterized in that: A track is set up in the cultural relic protection room, and the track is spirally arranged around the cultural relic. The sound emission receiver slides on the track through a slider.

4. A method for monitoring damage to cultural relics using multi-source acoustic emission information according to claim 3, characterized in that: The obtaining of the position of the acoustic emission receiver comprises: Obtaining distances detected by distance sensors installed on six front faces of the acoustic emission receiver; The position of the acoustic emission receiver is determined based on the distances detected by the six distance sensors.

5. The method for monitoring damage to cultural relics using acoustic emission multi-source information according to claim 1, characterized in that: In step 2, the three-dimensional model is modified according to the environmental information to obtain a cultural relic model, including: The environmental information is fed into a pre-trained neural network model to obtain repair information corresponding to the environmental information; Correcting the three-dimensional model according to the restoration information to obtain a cultural relic model; The neural network model is used to output corresponding repair information based on the input environmental information; The repair information includes: no repair, enlarging the discontinuous portion, and shrinking the discontinuous portion.

6. The method for monitoring damage to cultural relics using multi-source acoustic emission information according to claim 1, characterized in that: In step 3, obtaining a cross section of the cultural relic model according to the location of the difference portion to obtain a cross section of the cultural relic damage includes: According to the shape of the different part, determine the positive direction of the different part, and determine the angle to be adjusted according to the positive direction of the different part; adjusting the artifact model according to the angle; The cultural relic model is intercepted at the difference portion using three vertical cross sections to obtain three cultural relic damage cross sections.

7. A method for monitoring damage to cultural relics using acoustic emission multi-source information according to claim 6, characterized in that: The intersection of the three perpendicular cross sections is located at the center point of the difference portion.

8. The method for monitoring damage to cultural relics using multi-source acoustic emission information according to claim 1, characterized in that: In step 4, converting the cultural relic damage cross section into a cultural relic damage image includes: Assigning grayscale values ​​to each point of the damaged cross section of the cultural relic; When the point on the cross section of the cultural relic damage comes from the part of the cultural relic model, the gray value is 0; When the point on the cross section of the cultural relic damage does not come from the part of the cultural relic model, the grayscale value is 255; Traverse all points on the cross section of the cultural relic damage, and the output grayscale image is the cultural relic damage image.

9. A method for monitoring damage to cultural relics using multi-source acoustic emission information according to claim 8, characterized in that: In step 4, determining the type and degree of damage to the cultural relic by image processing includes: According to the gray value of each point in the cultural relic disease image, the contours in each cultural relic disease image are extracted, and the contours in each cultural relic disease image are represented by a function; The function corresponding to the contour in each cultural relic disease image is searched in a pre-built disease database to obtain the corresponding cultural relic disease type and degree of cultural relic disease; The damage database is used to store functions and the types and degrees of cultural relics damage corresponding to the functions.

10. A device for monitoring damage of cultural relics using acoustic emission multi-source information, characterized in that: include: A three-dimensional model building module is used to send out sound signals through an acoustic transmitter receiver set up around the cultural relic in the cultural relic protection room, and receive the returned sound signals, and determine the three-dimensional model of the cultural relic based on the sent and received sound signals; A three-dimensional model correction module is used to collect environmental information of the cultural relic protection room through environmental sensors, and to correct the three-dimensional model according to the environmental information to obtain a cultural relic model; A damage cross-section acquisition module is used to compare the cultural relic model with the standard model to obtain the difference part, and obtain the cross section of the cultural relic model according to the location of the difference part to obtain the cultural relic damage cross-section; A damage condition judgment module is used to convert the damaged cross section of the cultural relic into a damaged cultural relic image, and determine the type and degree of damage to the cultural relic through image processing; The cultural relic disease output module is used to take the location of the difference part as the location of the cultural relic disease, and output it in combination with the cultural relic disease type and the cultural relic disease degree.

Images