Density prediction method and device for wood component damaged by decay, medium and product

Abstract

The embodiment of the invention relates to the technical field of computers, and discloses a density prediction method and device for a wood component damaged by decay, a medium and a product. The method comprises the following steps: acquiring sound data of a wood component by adopting a knocking method, and determining a decay range according to the sound data; the method comprises the following steps: carrying out Pilodyn test on test wood, and constructing a prediction formula of the average density and the average penetration depth of the Pilodyn test; and carrying out Pilodyn test on the wood member, and determining a density prediction result of the wood member according to the average penetration depth of the wood member and the constructed prediction formula. By adopting the scheme, the test wood can be adopted, the prediction formula matched with the current wood component can be constructed, and the density prediction result of the wood component is determined in combination with the actual test data of the wood component, so that the decay condition of the wood component can be accurately obtained, and accurate data support is provided for replacing the wood component or not; and the scientificity of protection measures for historical buildings is improved.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a density prediction method, equipment, medium and product for wood components damaged by wood decay. Background Art

[0002] Due to their age, wooden components in historical buildings often have problems such as decay and decay. These problems will weaken the overall performance of wooden components to a certain extent, such as density, strength, elastic modulus, etc. Since it is difficult to use a simple model to fit the degree of weakening of wooden component performance due to these problems, the results obtained by traditional estimation methods often deviate from the actual situation. In engineering, for conservative considerations, wooden components with sufficient performance are often replaced, thereby destroying the historical value of ancient buildings. Therefore, how to accurately evaluate the decay of wooden components is a technical problem that needs to be solved urgently by people in this field. Summary of the invention

[0003] One purpose of the present application is to provide a density prediction method, equipment, medium and product for wood components damaged by decay, at least to solve the problem that the decay of wood components cannot be accurately judged, resulting in the need to replace a large number of wood components in historical buildings, resulting in the loss of raw materials and the impact on the historical value of historical buildings. The present application obtains the sound data of wood components by percussion method, and determines the decay range according to the sound data; uses test wood to perform Pilodyn test, and constructs the prediction formula of the average density and average penetration depth of Pilodyn test; performs Pilodyn test on the wood components, and determines the density prediction result of the wood components according to the average penetration depth of the wood components and the constructed prediction formula. The Pilodyn detector used in the present technical solution is a new type of non-destructive testing instrument. By using test wood, a prediction formula matching the current wood components can be constructed, and the density prediction result can be determined in combination with the actual test data of the wood components, so that the decay of the wood components can be accurately obtained, providing accurate data support for whether the wood components need to be replaced, and improving the scientific nature of the protection measures for historical buildings.

[0004] To achieve the above objectives, some embodiments of the present application provide the following aspects:

[0005] In a first aspect, some embodiments of the present application provide a method for predicting the density of a wood component damaged by woodworms, the method comprising:

[0006] Acquiring sound data of the wood component by a knocking method, and determining the scope of decay according to the sound data;

[0007] The Pilodyn test was carried out on the test wood, and a prediction formula for the average density and average penetration depth of the Pilodyn test was constructed;

[0008] A Pilodyn test is performed on the wood component, and a density prediction result of the wood component is determined according to an average penetration depth of the wood component and the constructed prediction formula.

[0009] In a second aspect, some embodiments of the present application further provide an electronic device, comprising: one or more processors; and a memory storing computer program instructions, wherein the computer program instructions, when executed, cause the processor to perform the steps of the method described above.

[0010] In a third aspect, some embodiments of the present application further provide a computer-readable medium having computer program instructions stored thereon, wherein the computer program instructions can be executed by a processor to implement the method as described above.

[0011] In a fourth aspect, some embodiments of the present application further provide a computer program product, comprising a computer program / instruction, which implements the steps of the method described above when executed by a processor.

[0012] Compared with the related art, in the solution provided by the embodiment of the present application, the sound data of the wood component is obtained by the knocking method, and the range of decay is determined according to the sound data; the Pilodyn test is performed on the test wood to construct a prediction formula for the average density and average penetration depth of the Pilodyn test; the Pilodyn test is performed on the wood component, and the density prediction result of the wood component is determined according to the average penetration depth of the wood component and the constructed prediction formula. The Pilodyn detector used in the present technical solution is a new type of non-destructive testing instrument. By using test wood, a prediction formula matching the current wood component can be constructed, and the density prediction result can be determined in combination with the actual test data of the wood component, so that the decay condition of the wood component can be accurately obtained, providing accurate data support for whether the wood component needs to be replaced, and improving the scientific nature of the protection measures for historical buildings. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] One or more embodiments are exemplarily described by pictures in the corresponding drawings, and these exemplified descriptions do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings represent similar elements, and unless otherwise stated, the figures in the drawings do not constitute proportional limitations.

[0014] Figure 1 An exemplary flow chart of a density prediction method of a wood member damaged by wood decay according to some embodiments of the present application;

[0015] Figure 2 A schematic diagram of a Pilodyn test process provided according to some embodiments of the present application;

[0016] Figure 3 An exemplary flow chart of a density prediction method of a wood member damaged by wood decay according to some embodiments of the present application;

[0017] Figure 4 An exemplary structural diagram of the electronic device is disclosed. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0019] First embodiment

[0020] The first embodiment of the present application relates to a method for predicting the density of wood components damaged by wood decay. Figure 1 As shown, the method may include the following steps:

[0021] Step S101, obtaining sound data of the wood component by a knocking method, and determining the range of decay according to the sound data;

[0022] Among them, the percussion method is used to determine the scope of wood decay. Specifically, a small hammer or mallet is usually used as a percussion tool to avoid damaging the wood component. In a noisy environment, a stethoscope can be used as an auxiliary tool. The percussion points are selected to percuss multiple points of the wood component, including corners, joints, surfaces and other different areas.

[0023] To do this, hold the hammer or mallet firmly in one hand and tap the wood gently, without applying excessive force. Move the tapping position along the length and width of the wood to ensure that all areas are covered.

[0024] It should be noted that repeated tapping on the same point should be avoided to prevent damage. For suspected decayed areas, tools such as endoscopes should be used for further judgment.

[0025] During the knocking process, you need to carefully identify the knocking sound. Healthy, solid wood usually makes a crisp, loud sound, while wood that is decayed or rotten will make a dull, hollow sound. Compare the sounds of each knocking point. If you find that the sound of some areas is obviously different from other areas, it indicates that these areas may be decayed or rotten.

[0026] In one embodiment, optionally, the method further comprises:

[0027] The knocking method is used to obtain the knocking mark data and / or the amount of surface debris of the wooden component to determine the decay range of the wooden component.

[0028] In addition to the sound, observe how the wood responds. If dust or debris appears on the surface when you tap it, or if there is a dent in the surface when you tap it, this could be a sign of woodworm.

[0029] Therefore, this solution can also determine whether the wooden component is corroded and the specific scope of the corrosion by collecting the trace data after knocking or judging the number of surface debris.

[0030] In one embodiment, optionally, the sound data of the wood component is obtained by a knocking method, and the decay range is determined according to the sound data, including:

[0031] Draw a knock point distribution map and a knock sound record table, and use cloud lines to mark abnormal sound areas to obtain the scope of decay.

[0032] When drawing the measurement point distribution map, the first thing to do is to determine the measurement area. That is, to clearly define the scope of the structure or object that needs to be inspected for decay, such as a wall of a building, a wooden beam, etc.

[0033] Then establish a coordinate system and select a suitable coordinate system according to the shape and size of the measurement area. It can be a rectangular coordinate system (X, Y axis) or a polar coordinate system.

[0034] Then determine the direction of the coordinate origin and coordinate axis.

[0035] Before the tapping test, the measuring points need to be arranged evenly in the measuring area. The measuring points can be arranged in a grid or in a targeted manner according to the structural characteristics. Each measuring point should be numbered so that it can be matched in the record table.

[0036] Use drawing software such as AutoCAD, Photoshop, etc., or manual drawing tools to draw the outline of the measurement area according to the coordinate system and measurement point layout. Mark the location and number of each measurement point on the drawing.

[0037] When making a percussion sound record sheet, the header design should be given priority. The header design should include basic information such as project name, measurement area description, measurement date, and measurement personnel. Columns such as measurement point number, percussion sound feature description (such as crisp, dull, hollow, etc.), and remarks should be listed.

[0038] After the record sheet is established, record the data in the tapping method. Perform a tapping test on each measuring point and fill in the corresponding description in the record sheet according to the sound characteristics heard. You can record some special circumstances in the remarks column, such as difficulty in tapping, interference from the surrounding environment, etc.

[0039] Mark the area with abnormal sound, analyze the knocking sound record, compare the knocking sound characteristics of each measurement point, and find the measurement point with abnormal sound. Usually, hollow, dull sound may indicate that there is decay in the area.

[0040] This solution can use the cloud line tool in the drawing software to draw a cloud line around the measurement point with abnormal sound to circle the possible corrosion range. The size and shape of the cloud line can be adjusted according to the degree of abnormality to make the marking more accurate.

[0041] After drawing the distribution map of measuring points and marking the range of decay, this scheme can further analyze the decay situation as needed and formulate corresponding repair or prevention measures. At the same time, in order to improve the accuracy of measurement, multiple measurements and verifications can be carried out and combined with other detection methods, such as ultrasonic testing, endoscopic inspection, etc.

[0042] Step S102, using the test wood to perform a Pilodyn test, and constructing a prediction formula for average density and average penetration depth of the Pilodyn test;

[0043] The working principle of the Pilodyn test is to use a preset energy to shoot an iron probe into the wood. The density of the wood directly affects the depth of the probe penetration. The greater the density of the wood, the shallower the probe penetration depth; the smaller the density of the wood, the deeper the probe penetration depth. The test process is: ① Install the push rod on the Pilodyn device, ② Aim at the test point and press the test surface, ③ Press the trigger cover to shoot the impact needle into the wood, ④ Immediately read the penetration depth on the scale of the detector.

[0044] Figure 2 Schematic diagram of the Pilodyn test process provided according to some embodiments of the present application. Figure 2 As shown, preferably, the Pilodyn test method is: 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 penetration depths measured at all the measurement points are averaged, that is, the average value of each 75cm unit.

[0045] There is a linear function relationship between the penetration depth measured by Pilodyn and the wood density, which can be obtained through regression analysis. In general, the result of regression analysis is a linear function. Based on the above principles and methods, Pilodyn can indirectly measure the basic density and other material properties of wood.

[0046] In this embodiment, optionally, the test wood and the wood component have the same wood species and structure.

[0047] First, when selecting test wood, you can choose wood that is consistent with the type of wood component. This is because different woods have different sound performances, and even if there is the same decay, the sound changes will be different. In addition, the size and structure of the test wood should be consistent with the wood component.

[0048] Through such a setting, this scheme can ensure that the prediction formula used for the test wood components is effective and accurate for the wood components.

[0049] To ensure the accuracy of the test results, the depth of the wood to be tested must be predicted to ensure that the depth of the wood is less than or equal to the penetration depth limit of the Pilodyn detector. Among them, the following two methods can be used to predict the depth of the wood: Empirical method: By judging the type of woodworms and based on experience with their habits, the approximate range of the depth of the woodworms can be obtained. Knocking method: Use a wooden hammer to knock on the surface of the wood and judge the depth range of the woodworms by the changes in the knocking sound.

[0050] For the prediction formula, firstly, the test wood should be the same type of wood as the wood to be tested, and the surface should be moderately to deeply infested, and the length of the test wood should not be less than 3m. Among them, wood specimens from the same building, the same origin, and the same age are preferred. Secondly, the same type of wood can also be used after being infested by artificial tests.

[0051] In this embodiment, optionally, a Pilodyn test is performed using test wood to construct a prediction formula for the average density and average penetration depth of the Pilodyn test, including:

[0052] By linear regression method, a regression equation between dp and ρ is established as the prediction formula of this type of wood, and the prediction formula is as follows:

[0053] ρ = β0 + β1 × dp;

[0054] Among them, ρ is the predicted density, dp is the penetration depth, β0 is the intercept term, and β1 is the independent variable coefficient.

[0055] The Pilodyn test was carried out on the test wood. The test wood was divided into units of 25 cm and tested according to the above Pilodyn test method. The average penetration depth (dp) of each unit was obtained by dividing the test wood into units of 75 cm.

[0056] For the wood density test, the test wood was cut into units of 25 cm in length and the penetration depth was tested. The density of each unit was then measured. The average penetration depth (dp) and average density (ρ) of the unit were then obtained by taking 75 cm in length as a unit.

[0057] It should be noted that the holes caused by wood being eaten by insects are large and small and unevenly distributed. The value obtained at a certain measuring point is not representative, and multiple points of measurement are required to ensure the authenticity and reliability of the test results. Generally speaking, Pilodyn tests each unit at least 3 times. When there is a large deviation, an additional detection is required.

[0058] After that, the linear regression method can be used to establish a regression equation between dp and ρ as the prediction formula for this type of wood.

[0059] ρ = β0 + β1 × dp;

[0060] Among them, ρ is the predicted value of density (dependent variable); dp is the penetration depth (independent variable); β0 is the intercept term, and β1 is the coefficient of the independent variable.

[0061] Among them, the linear multiple regression analysis method can be used, which is 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 briefly introduces the basic methods and processes of linear multiple regression analysis:

[0062] Identify the research question:

[0063] First, it is necessary to determine the research object, such as understanding which factors (independent variables) affect wood density (dependent variable).

[0064] Collect data:

[0065] Collect relevant data based on the research object. For example, you need to collect data on wood species, decay rate, penetration, etc.

[0066] Select Model:

[0067] In multiple regression, the model chosen is usually of the form:

[0068] Dependent variable = β0+β1X1+β2X2+…+βnXn

[0069] Among them, X1, X2,…, Xn are the respective variables; β0 is the intercept term, and β1, β2,…, βn are the coefficients of the respective variables.

[0070] To perform regression analysis:

[0071] The coefficient β of each independent variable was calculated using the multiple regression analysis module of the statistical software SPSS.

[0072] Among them, the following two points should be noted:

[0073] For the regression equation, R 2 If R 2If it is lower than 0.6, the prediction formula is unreliable and the test sample should be increased or the test sample should be reselected. 2 The value is calculated as follows:

[0074]

[0075] Among them, R 2 : It indicates the proportion of the dependent variable variation explained by the independent variable in the model. R 2 The closer the value is to 1, the stronger the explanatory power of the model.

[0076] In regression analysis, R 2 It is an important indicator to measure the model fit, which indicates how much of the variation in the dependent variable can be explained by the independent variable. The calculation formula of R square is as follows:

[0077]

[0078] Where: SSres is the residual sum of squares, that is, the sum of squares of the differences between the actual observations and the model predictions. SStot is the total sum of squares, that is, the sum of squares of the differences between the actual observations and the mean of the observations.

[0079]

[0080] If the number of test samples is large, the test samples can be divided into two categories: moderately damaged and deeply damaged, and regression equations can be established for each category to improve accuracy.

[0081] Step S103: Perform a Pilodyn test on the wood component, and determine a density prediction result of the wood component according to the average penetration depth of the wood component and the constructed prediction formula.

[0082] In this embodiment, specifically, the Pilodyn test is performed on the wood component, and the density prediction result of the wood component is determined according to the average penetration depth of the wood component and the constructed prediction formula, including:

[0083] Performing a Pilodyn test on the wood member to obtain an average penetration depth of the wood member;

[0084] The average penetration depth of the wood component is substituted into the prediction formula to obtain the density prediction result of the wood component.

[0085] The Pilodyn test was also carried out on the wooden components. The wooden components were divided into units of 25 cm and tested according to the above Pilodyn test method. The average penetration depth (dp) of each unit was obtained by taking 75 cm as a unit.

[0086] Substitute the average penetration depth (dp) of the wood component into the prediction formula obtained through the test wood to obtain the density value of the wood to be tested.

[0087] The technical solution provided in this embodiment obtains the sound data of the wood component by the knocking method, and determines the scope of decay according to the sound data; uses the test wood to perform the Pilodyn test, and constructs a prediction formula for the average density and average penetration depth of the Pilodyn test; performs the Pilodyn test on the wood component, and determines the density prediction result of the wood component according to the average penetration depth of the wood component and the constructed prediction formula. The Pilodyn detector used in this technical solution is a new type of non-destructive testing instrument. By using the test wood, a prediction formula matching the current wood component can be constructed, and the density prediction result can be determined in combination with the actual test data of the wood component, so that the decay condition of the wood component can be accurately obtained, providing accurate data support for whether the wood component needs to be replaced, and improving the scientific nature of the protection measures for historical buildings.

[0088] Second embodiment

[0089] This embodiment is a further optimization of the previous embodiment, and the specific optimization is: based on the sound data of the wooden component obtained by the knocking method, the corrosion depth of the wooden component is predicted; if the corrosion depth prediction result is less than or equal to the penetration depth threshold value of the Pilodyn test, it is determined to execute the density prediction process of the wooden component; if the corrosion depth prediction result is greater than the penetration depth threshold value of the Pilodyn test, it is determined to terminate the density prediction process of the wooden component.

[0090] Figure 3 The following is an exemplary flow chart of a density prediction method of a wood member damaged by wood decay according to some embodiments of the present application. Figure 3 As shown:

[0091] Step S301, predicting the corrosion depth of the wooden component according to the sound data of the wooden component obtained by the knocking method; and executing S302 or S303;

[0092] In this scheme, since the Pilodyn test and the prediction formula are needed in the prediction process, it is necessary to first determine the prediction of the decay depth of the wooden components before predicting the wooden components.

[0093] For example, the penetration depth of the Pilodyn test is 10cm, while the depth of wood decay is between 12-16cm. Therefore, in the subsequent test process, the penetration depth is the same as that of normal wood components, but it cannot reflect the internal decay of the wood components. Therefore, it is necessary to predict the depth of wood decay.

[0094] Step S302, if the decay depth prediction result is greater than the penetration depth threshold value of the Pilodyn test, then determining to terminate the density prediction process of the wood component;

[0095] After the prediction, if it is found that the predicted result of the decay depth is greater than the penetration depth threshold of the Pilodyn test, it can be determined that the Pilodyn test cannot accurately reflect the current decay condition of the wood component, and other methods can be used to detect the density of the wood component.

[0096] It can be understood that the density prediction process of the wood component here is the process from step S101 to step S103 in the above embodiment, which will not be described in detail here.

[0097] Step S303: If the decay depth prediction result is less than or equal to the penetration depth threshold value of the Pilodyn test, it is determined to execute the density prediction process of the wooden component.

[0098] The technical solution provided in this embodiment can ensure the accuracy of subsequent test and density prediction results by predicting the decay depth of wooden components, and ensure the scientific nature of protection or replacement measures for wooden components.

[0099] It should be noted that the main damage to the wood components in this scheme is corrosion, and other damage such as fungal erosion, mold erosion, wood weathering, etc. can be ignored. The type of wood components is determined, and wood specimens of the same type with a length of not less than 3m can be obtained. The corrosion damage of wood components is surface corrosion, and the depth does not exceed the penetration depth of the Pilodyn detector. The wood components are natural wood of a single tree species with a rectangular cross-section.

[0100] This solution predicts the decay information, including the prediction of the decay depth and the classification of the decay degree. The prediction formula is obtained, and the regression equation between the penetration depth and density is established through the Pilodyn test and density test of the wood. And the wood component detection, the density value of the wood component is derived using the Pilodyn test and the prediction formula. This solution can accurately predict the density of wood components affected by decay, reduce unnecessary replacements, and protect the integrity of historical buildings. It provides a scientific and reliable method for evaluating the performance of wood components, providing a basis for the protection and restoration of historical buildings. In addition, by introducing the prediction of decay information, the prediction accuracy of the Pilodyn detector is improved.

[0101] In addition, some embodiments of the present application also provide an electronic device. The electronic device may be a digital computer in various forms, such as a laptop computer, a desktop computer, a workbench, a personal digital assistant, a server, a blade server, a mainframe computer, etc. The electronic device may also be a mobile device in various forms, such as a personal digital processing, a cellular phone, a smart phone, a wearable device, and other similar computing devices.

[0102] The electronic device includes: one or more processors; and a memory storing computer program instructions, wherein when the computer program instructions are executed, the processor executes the steps of the method provided in any one or more of the above embodiments. Figure 4 An exemplary structural diagram of the electronic device is disclosed. Figure 4 As shown, the electronic device includes: one or more processors 401, memory 402, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. The various components are connected to each other using different buses and can be installed on a common mainboard or installed in other ways as needed. The processor can process instructions executed in the electronic device, including instructions stored in or on the memory to display graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some other embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple electronic devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Among them, the components shown in this article, their connections and relationships, and their functions are only used as examples, and are not intended to limit the implementation of the present application described and / or required herein.

[0103] The electronic device may further include: an input device 403 and an output device 404. The processor 401, the memory 402, the input device 403 and the output device 404 may be connected via a bus or other means. Figure 4 The example of connecting through bus is taken in the following.

[0104] The input device 403 can receive input digital or character information, and generate key signal input related to the user settings and function control of the electronic device, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, an indicator bar, one or more mouse buttons, a trackball, a joystick and other input devices. The output device 404 may include a display device, an auxiliary lighting device (e.g., an LED) and a tactile feedback device (e.g., a vibration motor), etc. The display device may include, but is not limited to, a liquid crystal display (LCD), a light emitting diode (LED) display and a plasma display. In some embodiments, the display device may be a touch screen.

[0105] To provide interaction with a user, the electronic device may be a computer. The computer has: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball), through which the user can provide input to the computer. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0106] In the embodiments of the present application, a computer program / instruction is stored on a computer-readable medium, and when the computer program / instruction is executed by a processor, the steps of the method provided by any one or more of the above embodiments are implemented. The computer-readable medium may be included in the electronic device described in the above embodiments; or it may exist independently without being assembled into the device. The above computer-readable medium carries one or more computer-readable instructions.

[0107] The memory 402 can be used as a non-transient computer-readable storage medium, which can be used to store non-transient software programs, non-transient computer executable programs and modules. The processor 401 executes various functional applications and data processing of the server by running the non-transient software programs, instructions and modules stored in the memory 402, so as to implement the program instructions / modules corresponding to the method provided by any one or more of the above embodiments in the embodiments of the present application.

[0108] The memory 402 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 402 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage devices. In some embodiments, the memory 402 may include a memory remotely arranged relative to the processor 401, and these remote memories may be connected to the electronic device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0109] It should be noted that the computer-readable medium described in the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM, Random Access Memory), a read-only memory (ROM, Read-Only Memory), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device.

[0110] Computer readable media include permanent and non-permanent, removable and non-removable media, and can be implemented by any method or technology to store information. 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 technology, read-only compact disk (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission medium that can be used to store information that can be accessed by a computing device.

[0111] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate 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 a remote computer, the remote computer may 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 may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0112] In the above-described embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. For example, it can be implemented by using an application specific integrated circuit (ASIC), a general-purpose computer or any other similar hardware device. In certain embodiments, the software program of the present application can be executed by a processor to implement the above steps or functions. Similarly, the software program of the present application (including relevant data structures) can be stored in a computer-readable recording medium, for example, a RAM memory, a magnetic or optical drive or a floppy disk and similar devices. In addition, some steps or functions of the present application can be implemented by hardware, for example, as a circuit that cooperates with a processor to perform each step or function.

[0113] The computer program product provided in the embodiment of the present application includes one or more computer programs / instructions, and when the computer program / instructions are executed by the processor, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium, or transmitted from a computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or a data center that includes one or more available media integrations. The available medium may be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state disk (SSD)), etc.

[0114] The flow chart or block diagram in the accompanying drawings shows the possible architecture, function and operation of the equipment, method and computer program product according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated system for hardware that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0115] The scope of the present application is defined by the appended claims rather than the above description, and it is intended that all changes that fall within the meaning and scope of the equivalent elements of the claims are included in the present application. Any figure mark in the claims should not be regarded as limiting the claims involved. In addition, 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 stated in the device claim may also be implemented by one unit or device through software or hardware. The words "first", "second", etc. are only used to distinguish the description, and do not indicate any particular order, nor can they be understood as indicating or implying relative importance.

[0116] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily mention changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims, and the above embodiments should be regarded as exemplary and non-restrictive.

Claims

1. A method for predicting the density of wood components damaged by wood decay, characterized in that: Acquiring sound data of the wood component by a knocking method, and determining the scope of decay according to the sound data; The Pilodyn test was carried out on the test wood, and a prediction formula for the average density and average penetration depth of the Pilodyn test was constructed; A Pilodyn test is performed on the wood component, and a density prediction result of the wood component is determined according to an 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 comprises: The knocking method is used to obtain the knocking mark data and / or the amount of surface debris of the wooden component to determine the decay range of the wooden component.

3. The method according to claim 1, characterized in that The sound data of the wood component is obtained by the knocking method, and the decay range is determined according to the sound data, including: Draw a knock point distribution map and a knock sound record table, and use cloud lines to mark abnormal sound areas to obtain the scope of decay.

4. The method according to claim 1, characterized in that: The test wood and the wood component have the same wood species and structure.

5. The method according to claim 1, characterized in that The method further comprises: Predicting the depth of decay of the wooden component based on the sound data of the wooden component obtained by the knocking method; If the decay depth prediction result is less than or equal to the penetration depth threshold value of the Pilodyn test, then determining to execute the density prediction process of the wood component; If the predicted result of the decay depth is greater than the penetration depth threshold of the Pilodyn test, it is determined to terminate the density prediction process of the wooden component.

6. The method according to claim 1, characterized in that The Pilodyn test was performed on the test wood, and a prediction formula for the average density and average penetration depth of the Pilodyn test was constructed, including: By linear regression method, a regression equation between dp and ρ is established as the prediction formula of this type of wood, and the prediction formula is as follows: ρ = β0 + β1 × dp; Among them, ρ is the predicted density, dp is the penetration depth, β0 is the intercept term, and β1 is the independent variable coefficient.

7. The method according to claim 6, characterized in that The Pilodyn test is performed on the wood component, and the density prediction result of the wood component is determined according to the average penetration depth of the wood component and the constructed prediction formula, including: Performing a Pilodyn test on the wood member to obtain an average penetration depth of the wood member; The average penetration depth of the wood component is substituted into the prediction formula to obtain the density prediction result of the wood component.

8. An electronic device, characterized in that: The electronic device comprises: 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 claimed 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 a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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