Density prediction method for decay-damaged wood member, and device, medium and product
By combining the tapping method and the Pildyn test, the accuracy of the assessment of wood erosion in historical buildings was solved, enabling precise prediction of wood density, reducing unnecessary replacements, and protecting the integrity of historical buildings.
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- SHANGHAI JIANWEI CULTURAL HERITAGE CONSERVATION TECH CO LTD
- Filing Date
- 2025-04-25
- Publication Date
- 2026-06-18
AI Technical Summary
Existing technologies cannot accurately assess the extent of wood decay in historic buildings, leading to the replacement of numerous wooden components and damaging the value of these historic structures.
Sound data of wooden components were obtained by tapping, and a predictive formula for average density and penetration depth was constructed by combining it with the Pilodyn test. Non-destructive testing was performed using a Pilodyn detector to determine the density prediction results of the wooden components.
Accurately assessing the extent of insect damage to wooden components reduces unnecessary replacements and improves the scientific rigor and effectiveness of historical building preservation.
Smart Images
Figure CN2025091126_18062026_PF_FP_ABST
Abstract
Description
A method, equipment, medium, and product for predicting the density of wood-boring damaged components. Technical Field
[0001] This application relates to the field of computer technology, and in particular to a method, device, medium and product for predicting the density of wood components damaged by insect infestation. Background Technology
[0002] Due to their age, wooden components in historical buildings often suffer from problems such as insect infestation and decay. These problems weaken the overall performance of the wooden components, including density, strength, and modulus of elasticity. Because the extent of this weakening is difficult to model using simple models, traditional estimation methods often yield results that deviate from reality. In engineering practice, for conservative reasons, sufficient wooden components are often replaced, thus compromising the historical value of the ancient building. Therefore, accurately assessing the extent of insect infestation in wooden components is a pressing technical challenge that needs to be addressed by researchers in this field. Summary of the Invention
[0003] One objective of this application is to provide a method, device, medium, and product for predicting the density of wood-bored structures damaged by insect infestation. This aims to address the problem of inaccurate assessment of wood infestation, leading to material waste and the need for extensive replacement of wooden components in historical buildings, thus affecting their historical value. This application obtains sound data from the wooden components using a tapping method, determines the extent of infestation based on this data, conducts a Piloyn test on test wood, and constructs a predictive formula for the average density and average penetration depth of the Piloyn test. The Piloyn test is then performed on the wooden components, and the density prediction result is determined based on the average penetration depth and the constructed predictive formula. The Piloyn detector used in this technical solution is a novel non-destructive testing instrument. By using test wood, a predictive formula matching the current wooden components can be constructed, and the density prediction result can be determined by combining the actual test data of the wooden components. This allows for accurate determination of the wood infestation status, providing accurate data support for determining whether replacement of wooden components is necessary, and improving the scientific rigor of protection measures for historical buildings.
[0004] To achieve the above objectives, some embodiments of this application provide the following aspects:
[0005] In a first aspect, some embodiments of this application provide a method for predicting the density of wood components damaged by insect infestation, the method comprising:
[0006] Sound data of wooden components were obtained by tapping, and the extent of insect infestation was determined based on the sound data.
[0007] Using test timber, Pilodyn tests were conducted to construct predictive formulas for the average density and average penetration depth of the Pilodyn test.
[0008] The wood component is subjected to a Pildyn test, and the density prediction result of the wood component is determined based on the average penetration depth of the wood component and the constructed prediction formula.
[0009] Secondly, some embodiments of this application also provide an electronic device, the electronic device comprising: one or more processors; and a memory storing computer program instructions, which, when executed, cause the processor to perform the steps of the method described above.
[0010] Thirdly, some embodiments of this application also provide a computer-readable medium having computer program instructions stored thereon, which can be executed by a processor to implement the method described above.
[0011] Fourthly, some embodiments of this application also provide a computer program product, including a computer program / instructions that, when executed by a processor, implement the steps of the method described above.
[0012] Compared with related technologies, the solution provided in this application obtains sound data of wooden components by tapping, and determines the extent of insect infestation based on the sound data; it conducts a Pilodyn test on test wood, and constructs a prediction formula for the average density and average penetration depth of the Pilodyn test; it then conducts a Pilodyn test on the wooden components, and determines the predicted density of the wooden components based on the average penetration depth and the constructed prediction formula. The Pilodyn detector used in this technical solution is a novel non-destructive testing instrument. By using test wood, a prediction formula matching the current wooden components can be constructed, and the density prediction result can be determined by combining the actual test data of the wooden components. This allows for accurate determination of the insect infestation status of the wooden components, providing accurate data support for whether to replace the wooden components, and improving the scientific nature of protection measures for historical buildings. Attached Figure Description
[0013] One or more embodiments are illustrated by way of example with reference numerals in the accompanying drawings. These illustrations do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are denoted as similar elements. Unless otherwise stated, the figures in the drawings are not to be limited by scale.
[0014] Figure 1 is an exemplary flowchart of a method for predicting the density of wood-boring damaged components according to some embodiments of this application;
[0015] Figure 2 is a schematic diagram of the Pildyn test process provided according to some embodiments of this application;
[0016] Figure 3 is an exemplary flowchart of a method for predicting the density of wood-boring damaged components according to some embodiments of this application;
[0017] Figure 4 shows an exemplary structural diagram of the electronic device. Detailed Implementation
[0018] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0019] First Embodiment
[0020] The first embodiment of this application relates to a method for predicting the density of wood components damaged by insect infestation. As shown in Figure 1, the method may include the following steps:
[0021] Step S101: Acquire sound data of wooden components by tapping, and determine the extent of insect infestation based on the sound data;
[0022] One method for determining the extent of insect infestation in wooden components is by tapping. Specifically, a small hammer or mallet is typically used to tap the components to avoid damage. In noisy environments, a stethoscope can be used as an auxiliary tool. Multiple points on the wooden component should be tapped, including corners, seams, and surfaces.
[0023] In practice, firmly hold the small hammer or mallet with one hand and gently tap the wooden component, avoiding excessive force. Move the tapping position along the length and width of the wooden component to ensure all areas are covered.
[0024] It is important to avoid repeatedly tapping the same spot to prevent damage. For areas suspected of being infested, further assessment using tools such as endoscopes should be conducted.
[0025] During the tapping process, it's essential to carefully distinguish the sounds. Healthy, solid wood typically produces a crisp, resonant sound, while rotten or decayed wood will produce a duller, hollow sound. Compare the sounds from different tapping points; if certain areas sound significantly different from others, it indicates potential rot or decay in those areas.
[0026] In one embodiment, optionally, the method further includes:
[0027] The impact mark data and / or the amount of surface debris of the wooden component are obtained by using the impact method to determine the extent of the insect infestation of the wooden component.
[0028] In addition to sound, you can also observe the reaction of the wooden components. If dust or debris appears on the surface of the wooden component after being tapped, or if the surface is dented after being tapped, this may be a sign of insect infestation.
[0029] Therefore, this solution can determine whether wooden components are infested with insects and the specific extent of the infestation by collecting data on the marks left after knocking or by judging the amount of surface debris.
[0030] In one embodiment, optionally, sound data of the wooden component is obtained by tapping, and the extent of insect infestation is determined based on the sound data, including:
[0031] Draw a distribution map of the tapping points and a record table of tapping sounds, and use cloud lines to mark areas of abnormal sound in order to determine the extent of the wormholes.
[0032] In the process of drawing a distribution map of measurement points, the measurement area must first be determined. That is, the scope of the structure or object whose infestation needs to be detected must be clearly defined, such as a wall of a building or a wooden beam.
[0033] Then establish a coordinate system, choosing an appropriate one based on the shape and size of the measurement area. This can be a rectangular coordinate system (X, Y axes) or a polar coordinate system.
[0034] This allows us to determine the origin of the coordinate system and the direction of the coordinate axes.
[0035] Before the impact test, test points need to be arranged. These points should be evenly distributed within the measurement area, either using a grid or a targeted arrangement based on the structural characteristics. Each test point should be numbered for easy reference in the record sheet.
[0036] Using drawing software such as AutoCAD or Photoshop, or by hand drawing tools, draw the outline of the measurement area according to the coordinate system and the arrangement of measurement points. Mark the location and number of each measurement point on the drawing.
[0037] When creating a tapping sound record sheet, prioritize designing the table header. The header should include basic information such as the project name, measurement area description, measurement date, and measurement personnel. List columns for measurement point number, tapping sound characteristics (e.g., crisp, dull, hollow), and remarks.
[0038] After establishing the recording table, record the data using the tapping method. Perform a tapping test on each measurement point and fill in the corresponding description in the recording table based on the characteristics of the sound heard. Special cases, such as difficulty in tapping or interference from the surrounding environment, can be recorded in the remarks column.
[0039] Mark areas of abnormal sound, analyze the tapping sound records, compare the tapping sound characteristics of each measuring point, and identify the measuring points with abnormal sound. Generally, a hollow, dull sound may indicate the presence of worms in that area.
[0040] This method uses the cloud line tool in drawing software to draw cloud lines around the measurement points of abnormal sound, thus outlining the possible area of worm damage. The size and shape of the cloud lines can be adjusted according to the severity of the anomaly, making the annotation more accurate.
[0041] After drawing the measurement point distribution map and marking the extent of insect infestation, this plan allows for further analysis of the infestation situation and the development of corresponding repair or preventative measures. Furthermore, to improve measurement accuracy, multiple measurements and verifications can be performed, combined with other detection methods such as ultrasonic testing and endoscopic examination.
[0042] Step S102: Conduct Pilodyn tests using test timber and construct prediction formulas for the average density and average penetration depth of the Pilodyn test.
[0043] The Pilodyn test works by using a preset energy source to propel an iron probe into the wood. The density of the wood directly affects the depth of penetration. Higher wood density results in shallower penetration, while lower density leads to deeper penetration. The testing procedure is as follows: ① Install the push rod onto the Pilodyn device; ② Align the test point and press firmly against the test surface; ③ Press down the trigger cap to propel the impact pin into the wood; ④ Immediately read the penetration depth on the scale of the testing instrument.
[0044] Figure 2 is a schematic diagram of the Pildyn test process according to some embodiments of this application. As shown in Figure 2, preferably, the Pildyn test method is as follows: each 75cm unit is divided into three 25cm small measurement units (segments), and four measurement points a, b, c, and d are taken on each of the four sides of each unit. The average value of the penetration depth measured at all measurement points is the average value for each 75cm unit.
[0045] The Pilodyn probe shows a linear functional relationship between penetration depth and wood density, which can be obtained through regression analysis. Typically, the regression analysis result is a linear function. Based on this principle and method, Pilodyn can indirectly determine the basic density and other wood properties of wood.
[0046] In this embodiment, optionally, the test wood and the wooden component are of the same wood species and structure.
[0047] First, when selecting test wood, choose wood that matches the type of the wooden component. Different types of wood have different sound characteristics, and even if both are affected by insect infestation, the sound changes will differ. Additionally, the dimensions and structure of the test wood should be consistent with the wooden component.
[0048] This scheme, through its setup, ensures that the predictive formulas used for the tested timber components are effective and accurate for the timber components.
[0049] To ensure the accuracy of test results, the depth of borer infestation in the wood to be tested must be predicted to ensure that the depth is less than or equal to the penetration depth limit of the Pilodyn detector. Two methods can be used to predict the depth of borer infestation: 1. Empirical method: By identifying the species of borer and based on experience with their habits, the approximate range of infestation depth can be obtained. 2. Tapping method: By tapping the surface of the wood with a mallet and observing the changes in the sound, the range of infestation depth can be determined.
[0050] For the prediction formula, firstly, the test timber should be of the same species as the timber to be tested, and should have a moderate to deep insect-infested surface. The length of the test timber should not be less than 3m. Among them, timber specimens from the same building, the same place of origin, and the same era are preferred. Secondly, the same species of timber can also be artificially infested with insects before use.
[0051] In this embodiment, optionally, Pilodyn testing is performed using test timber, and a prediction formula for the average density and average penetration depth of the Pilodyn test is constructed, including:
[0052] A regression equation between dp and ρ is established using linear regression, which serves as a prediction formula for this type of wood. The prediction formula is as follows:
[0053] ρ = β0 + β1 × dp;
[0054] Where ρ is the density prediction value, dp is the penetration depth, β0 is the intercept term, and β1 is the coefficient of the independent variable.
[0055] The test wood was divided into 25cm units and tested according to the above-mentioned Pilodyn test method. The average penetration depth (dp) of each unit was obtained by dividing the test wood into 75cm units.
[0056] The test wood density was conducted by cutting the test wood into 25cm units and measuring the penetration depth. The density of each unit was then measured. The average penetration depth (dp) and average density (ρ) of each unit were obtained by dividing the wood into 75cm units.
[0057] It is important to note that the holes caused by insect infestation in wood vary in size and are unevenly distributed. Therefore, measurements taken at a single point are not representative, and multiple measurements are necessary to ensure accurate and reliable results. Generally, Pilodyn tests perform at least three probes per unit; if significant deviations are observed, an additional probe is required.
[0058] Then, a regression equation between dp and ρ can be established using linear regression, which can then be used as a prediction formula for this type of timber. ρ=β0+β1×dp;
[0059] Where ρ is the density prediction (dependent variable); dp is the penetration depth (independent variable); β0 is the intercept term; and β1 is the coefficient of the independent variable.
[0060] One method is linear multiple regression analysis, a statistical method used to study the linear relationship between two or more independent variables (explanatory variables) and one dependent variable (response variable). The following is a brief introduction to the basic methods and process of linear multiple regression analysis:
[0061] Define the research question:
[0062] First, it is necessary to determine the research subject, such as which factors (independent variables) affect wood density (dependent variable).
[0063] Data collection:
[0064] Collect relevant data based on the research subject. For example, data on wood species, infestation rate, and penetration depth need to be collected.
[0065] Select model:
[0066] In multiple regression, the chosen model is typically of the following form: Dependent variable = β0 + β1X1 + β2X2 + ... + βnXn
[0067] Where X1, X2, ..., Xn are independent variables; β0 is the intercept term, and β1, β2, ..., βn are the coefficients of the independent variables.
[0068] Perform regression analysis:
[0069] The coefficients β of each independent variable were calculated using the multivariate regression analysis module of the statistical software SPSS.
[0070] The following two points should be noted:
[0071] For the regression equation, the R² value should be checked. If R... 2 If the value is below 0.6, the prediction formula is unreliable, and the sample size should be increased or a new sample size should be selected. 2 The formula for calculating the value is as follows:
[0072] Among them, R 2 R² represents the proportion of the variance in the dependent variable explained by the independent variable in the model. The closer the R² value is to 1, the stronger the explanatory power of the model.
[0073] In regression analysis, R² is an important indicator of model fit; it represents the proportion of variation in the dependent variable that can be explained by the independent variables. The formula for calculating R² is as follows:
[0074] Where: SSres is the residual sum of squares, which is the sum of squares of the differences between the actual observed values and the model predicted values. SStot is the total sum of squares, which is the sum of squares of the differences between the actual observed values and the mean of the observed values.
[0075] If the number of test samples is large, the test samples can be divided into two categories: moderately infested and deeply infested, and regression equations can be established for each category to improve accuracy.
[0076] Step S103: Perform a Pilodyn test on the wooden component, and determine the density prediction result of the wooden component based on the average penetration depth of the wooden component and the constructed prediction formula.
[0077] In this embodiment, specifically, a Pildyn test is performed on the wooden component, and the density prediction result of the wooden component is determined based on the average penetration depth of the wooden component and the constructed prediction formula, including:
[0078] The average penetration depth of the wooden component was obtained by performing a Pilodyn test on the wooden component.
[0079] Substituting the average penetration depth of the wooden component into the prediction formula yields the density prediction result of the wooden component.
[0080] The same Pilodyn test was performed on the wooden components. The wooden components were divided into units of 25 cm, and the test was carried out according to the above Pilodyn test method. Then, the average penetration depth (dp) of each unit was obtained by dividing the wooden components into units of 75 cm.
[0081] Substitute the average penetration depth (dp) of the wooden component into the prediction formula obtained from the test wood to obtain the density value of the wood to be tested.
[0082] The technical solution provided in this embodiment obtains sound data of wooden components using a tapping method, determines the extent of insect infestation based on the sound data, conducts a Pilodyn test on test wood, and constructs a predictive formula for the average density and average penetration depth of the Pilodyn test. The Pilodyn test is then performed on the wooden component, and the density prediction result is determined based on the average penetration depth and the constructed predictive formula. The Pilodyn detector used in this technical solution is a novel non-destructive testing instrument. By using test wood, a predictive formula matching the current wooden component can be constructed, and the density prediction result can be determined by combining the actual test data of the wooden component. This allows for accurate determination of the insect infestation status of the wooden component, providing accurate data support for whether the wooden component needs to be replaced, and improving the scientific nature of protection measures for historical buildings.
[0083] Second Embodiment
[0084] This embodiment is a further optimization of the previous embodiment. Specifically, the optimization is as follows: based on the sound data of the wooden component obtained by the tapping method, the depth of worm infestation of the wooden component is predicted; if the predicted depth of worm infestation is less than or equal to the penetration depth threshold value of the Pilodyn test, the density prediction process of the wooden component is determined to be executed; if the predicted depth of worm infestation is greater than the penetration depth threshold value of the Pilodyn test, the density prediction process of the wooden component is determined to be terminated.
[0085] Figure 3 is an exemplary flowchart of a method for predicting the density of wood-boring damaged components according to some embodiments of this application. As shown in Figure 3:
[0086] Step S301: Based on the sound data of the wooden component obtained by the tapping method, predict the depth of worm infestation of the wooden component; and execute S302 or S303.
[0087] In this approach, the Pildyn test and prediction formula are used in the prediction process. Therefore, before predicting the depth of insect infestation in wooden components, it is necessary to first determine the predicted depth of insect infestation.
[0088] For example, the Pilodyn test showed a penetration depth of 10 cm, while the depth of borer damage in wooden components ranges from 12 to 16 cm. Therefore, in subsequent experiments, the penetration depth was the same as that of normal wooden components, but this did not reflect the extent of internal borer damage. Thus, it is necessary to predict the depth of borer damage in wooden components.
[0089] Step S302: If the predicted depth of worm infestation is greater than the penetration depth threshold of the Pilodyn test, then the density prediction process of the wooden component is terminated.
[0090] If, after making a prediction, the predicted depth of worm infestation is found to be greater than the penetration depth threshold of the Pilodyn test, it can be determined that the Pilodyn test cannot accurately reflect the current worm infestation status of the wooden component, and other methods can be used to detect the density of the wooden component.
[0091] It is understandable that the density prediction process for wooden components here is the same as steps S101 to S103 in the above embodiment, and will not be repeated here.
[0092] Step S303: If the predicted depth of wormholes is less than or equal to the penetration depth threshold value of the Pilodyn test, then the density prediction process of the wooden component is executed.
[0093] The technical solution provided in this embodiment, by predicting the depth of worm infestation in wooden components, can ensure the accuracy of subsequent testing and density prediction results, and ensure the scientific nature of protection or replacement measures for wooden components.
[0094] It should be noted that the primary damage to wooden components in this study is insect infestation; other damage such as fungal infestation, mold infestation, and weathering can be disregarded. The type of wooden component is determined, and specimens of the same species with a length of at least 3m can be obtained. Insect infestation damage to the wooden components is surface infestation, with a depth not exceeding the penetration depth of the Pildyn tester. The wooden components are single-species natural timber with rectangular cross-sections.
[0095] This solution uses infestation information prediction, including infestation depth prediction and infestation degree classification. A prediction formula is obtained by establishing a regression equation between penetration depth and density through Pilodyn and density tests on the wood. Additionally, the density value of the wooden components is derived using the Pilodyn test and the prediction formula through component inspection. This solution can accurately predict the density of infested wooden components, reducing unnecessary replacements and protecting the integrity of historical buildings. It provides a scientific and reliable method for evaluating the performance of wooden components, offering a basis for the protection and restoration of historical buildings. Furthermore, by incorporating infestation information prediction, the predictive accuracy of the Pilodyn detector is improved.
[0096] Furthermore, some embodiments of this application also provide an electronic device. The electronic device can be various forms of digital computer, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, etc. The electronic device can also be various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices.
[0097] The electronic device includes: one or more processors; and a memory storing computer program instructions, which, when executed, cause the processor to perform the steps of the methods provided in any one or more of the above embodiments. Figure 4 discloses an exemplary structural diagram of the electronic device. As shown in Figure 4, the electronic device includes: one or more processors 401, a memory 402, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components are interconnected using different buses and can be mounted on a common motherboard or otherwise mounted as needed. The processor can process instructions executed within the electronic device, including instructions stored in or on memory to display graphical information of a GUI on an external input / output device (such as a display device coupled to the interface). In some other embodiments, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple electronic devices can be connected, each providing some of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system). The components, their connections and relationships, and their functions shown herein are merely examples and are not intended to limit the implementation of the present application described and / or claimed herein.
[0098] The electronic device may further include an input device 403 and an output device 404. The processor 401, memory 402, input device 403 and output device 404 may be connected by a bus or other means, as shown in Figure 4, which illustrates a connection via a bus.
[0099] Input device 403 can receive input numerical or character information, and generate key signal inputs related to user settings and function control of the electronic device, such as touch screen, keypad, mouse, trackpad, touchpad, pointer, one or more mouse buttons, trackball, joystick, etc. Output device 404 may include display device, auxiliary lighting device (e.g., LED), and haptic feedback device (e.g., vibration motor). The display device may include, but is not limited to, liquid crystal display (LCD), light-emitting diode (LED) display, and plasma display. In some embodiments, the display device may be a touch screen.
[0100] To provide interaction with the user, the electronic device can be a computer. The computer has: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).
[0101] In this embodiment, a computer-readable medium stores a computer program / instructions that, when executed by a processor, implement the steps of the methods provided in any one or more of the above embodiments. This computer-readable medium may be included in the electronic device described in the above embodiments; or it may exist independently and not assembled into that device. The aforementioned computer-readable medium carries one or more computer-readable instructions.
[0102] The memory 402 can serve as a non-transitory computer-readable storage medium, used to store non-transitory software programs, non-transitory computer-executable programs, and modules. The processor 401 executes various functional applications and data processing of the server by running the non-transitory software programs, instructions, and modules stored in the memory 402, thereby implementing the program instructions / modules corresponding to the methods provided in any one or more of the embodiments described above in this application.
[0103] Memory 402 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the electronic device. Furthermore, memory 402 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory 402 may include memory remotely located relative to processor 401, and these remote memories may be connected to the electronic device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.
[0104] It should be noted that the computer-readable medium described in this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.
[0105] Computer-readable media include both permanent and non-permanent, removable and non-removable media, which can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, read-only optical disc (CD-ROM), digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transfer medium that can be used to store information accessible by a computing device.
[0106] Computer program code for performing the operations of this application can be written in one or more programming languages or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, and C++, and conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).
[0107] In the above embodiments, all or part of the implementation can be achieved through software, hardware, firmware, or any combination thereof. For example, it can be implemented using an application-specific integrated circuit (ASIC), a general-purpose computer, or any other similar hardware device. In some embodiments, the software program of this application can be executed by a processor to implement the above steps or functions. Similarly, the software program of this application (including related data structures) can be stored in a computer-readable recording medium, such as RAM memory, magnetic or optical drives, floppy disks, and similar devices. In addition, some steps or functions of this application can be implemented in hardware, for example, as circuitry that cooperates with a processor to perform the various steps or functions.
[0108] The computer program product provided in this application includes one or more computer programs / instructions. When executed by a processor, these computer programs / instructions generate, in whole or in part, the processes or functions described in this application. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., a solid-state disk (SSD)).
[0109] The flowcharts or block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of devices, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented using a dedicated hardware-specific system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.
[0110] The scope of this application is defined by the appended claims rather than the foregoing description, and is therefore intended to encompass all variations falling within the meaning and scope of equivalents of the claims. No reference numerals in the claims should be construed as limiting the scope of the claims. Furthermore, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices recited in a device claim may also be implemented by a single unit or device in software or hardware. Terms such as "first," "second," etc., are used only for distinguishing descriptions and do not indicate any particular order, nor should they be construed as indicating or implying relative importance.
[0111] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily made by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims, and the above embodiments should be regarded as exemplary and non-limiting.
Claims
1. A method for predicting the density of wood components damaged by insect infestation, characterized in that, Sound data of wooden components were obtained by tapping, and the extent of insect infestation was determined based on the sound data. Using test timber, Pilodyn tests were conducted to construct predictive formulas for the average density and average penetration depth of the Pilodyn test. The wood component is subjected to a Pildyn test, and the density prediction result of the wood component is determined based on the average penetration depth of the wood component and the constructed prediction formula.
2. The method according to claim 1, characterized in that, The method further includes: The impact mark data and / or the amount of surface debris of the wooden component are obtained by using the impact method to determine the extent of the insect infestation of the wooden component.
3. The method according to claim 1, characterized in that, Sound data of wooden components is obtained by tapping, and the extent of insect infestation is determined based on the sound data, including: Draw a distribution map of the tapping points and a record table of tapping sounds, and use cloud lines to mark areas of abnormal sound in order to determine the extent of the wormholes.
4. The method according to claim 1, characterized in that, The tested timber and the wooden component are of the same timber species and structure.
5. The method according to claim 1, characterized in that, The method further includes: Based on the sound data of the wooden component obtained by the tapping method, the depth of worm infestation of the wooden component is predicted. If the predicted depth of borer is less than or equal to the penetration depth threshold of the Pilodyn test, then the density prediction process for the wooden component is executed. If the predicted depth of borer infestation is greater than the penetration depth threshold of the Pilodyn test, the density prediction process for the wooden component is terminated.
6. The method according to claim 1, characterized in that, Using sampled timber, Pilodyn tests were conducted to construct predictive formulas for the average density and average penetration depth of the Pilodyn test, including: A regression equation between dp and ρ is established using linear regression, which serves as a prediction formula for this type of wood. The prediction formula is as follows: ρ = β0 + β1 × dp; Where ρ is the density prediction value, dp is the penetration depth, β0 is the intercept term, and β1 is the coefficient of the independent variable.
7. The method according to claim 6, characterized in that, The wood component is subjected to a Pilodyn test. Based on the average penetration depth of the wood component and the constructed prediction formula, the density prediction result of the wood component is determined, including: The average penetration depth of the wooden component was obtained by performing a Pilodyn test on the wooden component. Substituting the average penetration depth of the wooden component into the prediction formula yields the density prediction result of the wooden component.
8. An electronic device, characterized in that, The electronic device includes: One or more processors; and A memory storing computer program instructions, which, when executed, cause the processor to perform the steps of the method as described in any one of claims 1 to 7.
9. A computer-readable medium having a computer program / instructions stored thereon, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method according to any one of claims 1 to 7.
10. A computer program product comprising a computer program / instructions, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method according to any one of claims 1 to 7.