Structural management method, structural management device, and program

Abstract

To provide a structure management method, a structure management device and a program, capable of accurately estimating a deterioration rate of a painted surface of a structure.SOLUTION: A structure management method comprises: creating a test piece with a test painted surface that has a higher deterioration rate than the painted surface applied to a structure; installing the test piece at a plurality of measurement points with different environmental conditions; measuring the deterioration rate of the test painted surface at the measurement point based on a deterioration state of the test piece; performing multiple regression analysis using an actual value obtained from the measurement; calculating a relational expression for calculating the deterioration rate of the painted surface based on parameters related to deterioration factors of the painted surface; based on the relational expression, calculating the deterioration rate of the painted surface of the structure arranged at a position different from the measurement point based on the parameter according to the position; and creating a map for managing a state of the painted surface that associates the position with the structure.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a structure management method, a structure management device, and a program for predicting deterioration of a painted surface.

Background Art

[0002] Metal structures such as iron towers are coated on the surface for corrosion prevention. The coating film applied to the surface of the metal member deteriorates over time, and there is a risk that the metal member will corrode. Therefore, the painted surface of the metal structure is regularly inspected, and repairs such as repainting are performed according to the state of deterioration. Generally, the lifespan of the coating applied to the structure is evaluated based on a decrease in glossiness or disappearance / deterioration of the coating film according to the purpose of the coating.

[0003] In the inspection of the coating, an operator compares the coating surface with a limit sample or the like and determines whether corrosion has occurred under the coating film based on experience and knowledge, and determines the repainting time. At this time, if the painted surface has not reached the repainting time, continuous inspection is performed. In the case of actual coating for rust prevention, it is determined whether or not to perform repainting by judging the degree of expansion of the area of corrosion occurring under the coating film. Therefore, it is desirable that the lifespan of the coating be evaluated based on the presence or absence of corrosion occurring under the coating film.

[0004] It is empirically known that the occurrence time and deterioration rate of corrosion occurring under the coating film vary depending on the surrounding environment of the structure. If the deterioration rate of corrosion under the coating film according to the environment is known, it is possible to quantitatively determine the repainting time. However, at present, the deterioration rate of the surface of the member under the coating film according to the environment has not been quantitatively evaluated.

[0005] In Patent Document 1, the applicant proposes a corrosion rate evaluation method for estimating the zinc corrosion rate according to the surrounding environment. According to the method described in Patent Document 1, the zinc corrosion rate is analyzed by performing multiple regression analysis with the dependent variable set to the zinc corrosion rate and the independent variables set to environmental factors that affect corrosion, such as weather, and topographic factors that affect corrosion, such as terrain. [Prior art documents] [Patent Documents]

[0006] [Patent Document 1] Japanese Patent Publication No. 2008-224405 [Overview of the project] [Problems that the invention aims to solve]

[0007] Since paints are polymer materials, accurately and quantitatively evaluating the rate of deterioration of painted surfaces requires considering not only environmental and topographic factors but also factors related to the deterioration of the polymers that make up the painted surface. The method described in Patent Document 1 had not yet proposed any factors related to the deterioration of painted surfaces.

[0008] The present invention aims to provide a structural management method, a structural management device, and a program that can accurately estimate the rate of deterioration of the painted surface of a structure. [Means for solving the problem]

[0009] One aspect of the present invention is a structural management method comprising: creating a test specimen having a test painted surface with a higher deterioration rate than the painted surface applied to a structure; placing the test specimen at multiple measurement points with different environmental conditions; measuring the deterioration rate of the test painted surface at the measurement points based on the deterioration state of the test specimen; performing multiple regression analysis using the measured values ​​obtained from the measurements; calculating a relational expression for calculating the deterioration rate of the painted surface based on parameters related to the deterioration factors of the painted surface; calculating the deterioration rate of the painted surface of the structure located at a different position from the measurement points based on the relational expression, based on the parameters corresponding to the position; and creating a map for managing the state of the painted surface corresponding to the position and the structure.

[0010] According to the present invention, by measuring the deterioration rate of the test painted surface of a test specimen, a relational formula can be calculated to quantitatively estimate the deterioration state of the painted surface of a structure. According to the present invention, based on the relational formula, the future deterioration state of the painted surface of a structure other than the measurement point can be quantitatively estimated. According to the present invention, a map for managing the painted surface of a structure can be created based on the deterioration state of the painted surface of the structure calculated using the relational formula.

[0011] Furthermore, the parameters of the present invention include the zinc corrosion rate, which indicates the degree of corrosion of the plating layer beneath the painted surface, and the amount of ultraviolet light at the location of the structure that affects the deterioration of the painted surface, and the deterioration rate may include the rust area ratio, which indicates the degree of rust occurrence on the painted surface.

[0012] According to the present invention, by calculating a relational expression that uses factors related to the deterioration of polymers such as painted surfaces of structures as parameters, it is possible to quantitatively estimate the future deterioration state of a painted surface.

[0013] Furthermore, one aspect of the present invention is a structural management device comprising: an acquisition unit that acquires measured values ​​of the deterioration rate of the test painted surface of a test piece, which has a test painted surface with a higher deterioration rate than the painted surface applied to a structure, by placing the test piece at a plurality of measurement points with different environmental conditions; and a calculation unit that performs multiple regression analysis using the measured values ​​to calculate a relational expression for calculating the deterioration rate of the painted surface based on parameters related to the deterioration factors of the painted surface, calculates the deterioration rate of the painted surface of the structure located at a different position from the measurement points based on the relational expression, and creates a map for managing the state of the painted surface corresponding to the position and the structure.

[0014] According to the present invention, a structural management device can be configured to calculate a relational expression for quantitatively estimating the deterioration state of the painted surface of a structure based on the measurement results of the deterioration rate of the test painted surface of a test piece.

[0015] Furthermore, one aspect of the present invention is a program installed in a structural management device for managing the deterioration state of painted surfaces of structures, which causes a computer to acquire measured values ​​obtained by measuring the deterioration rate of the test painted surface at a plurality of measurement points with different environmental conditions, based on the deterioration state of test pieces having a test painted surface with a higher deterioration rate than the painted surface applied to the structure, to perform multiple regression analysis using the measured values, to calculate a relational expression for calculating the deterioration rate of the painted surface based on parameters related to the deterioration factors of the painted surface, to calculate the deterioration rate of the painted surface of the structure located at a different position from the measurement points based on the parameters corresponding to that position, and to create a map for managing the state of the painted surface corresponding to the position and the structure.

[0016] According to the present invention, a program can be configured to calculate a relational expression for quantitatively estimating the deterioration state of the painted surface of a structure based on the measurement results of the deterioration rate of the test painted surface of a test piece. [Effects of the Invention]

[0017] According to the present invention, the deterioration rate of the painted surface of a structure can be accurately estimated.

Brief Description of the Drawings

[0018] [Figure 1] It is a cross-sectional view showing the configuration of a test piece. [Figure 2] It is a view showing the deteriorated state after exposing the test piece at an observation point for a predetermined period. [Figure 3] It is a view showing the reproducibility of a relational expression calculated based on the observation results of the test piece. [Figure 4] It is a view showing the relationship between factors related to corrosion and factors related to the deterioration of polymers and the deterioration rate of the painted surface. [Figure 5] It is a view showing an example of a map for managing a structure. [Figure 6] It is a view showing an example of management information for managing a structure. [Figure 7] It is a block diagram showing the configuration of a structure management system. [Figure 8] It is a flowchart showing each step of a structure management method.

Modes for Carrying Out the Invention

[0019] Hereinafter, a structure management method, a structure management apparatus, and a program according to an embodiment of the present invention will be described with reference to the drawings.

[0020] In FIG. 1, a test piece S used in the structure management method is shown. The test piece S is formed in a rectangular plate shape. The test piece S is formed of a metal plate S1 and a painted surface S2 (test painted surface) that covers the metal plate S1. The metal plate S is formed of the same material as the metal member constituting a metal structure such as a steel tower. Zinc plating is applied to the surface of the metal plate S according to the type of the metal member. A painted surface S2 that becomes a coating film is formed on the surface or upper layer of the metal plate S1.

[0021] The painted surface S2 is formed using the same paint as the paint used on the painted surface applied to the metal structure. For example, the painted surface S2 is formed to a thickness T1 that is about half the actual paint film thickness T0 of the painted surface of the metal structure. As a result, the painted surface S2 is formed to deteriorate faster and earlier than the painted surface applied to the actual metal structure. The thickness of the painted surface S2 may be adjusted as appropriate. The condition of the substrate of the painted surface S2 may be changed as appropriate to rust-preventive paint or primer paint, etc., depending on the actual painted surface.

[0022] The test specimen S is placed in an exposed state in the air at multiple measurement points with different environmental conditions. The measurement points are, for example, the locations of actual metal structures. Each measurement point has different environmental factors such as temperature, humidity, rainfall, and airborne sea salt and corrosive gases (SOx). Each measurement point also has different meteorological factors such as average temperature and wave conditions. Furthermore, each measurement point has different topographic factors such as latitude, longitude, elevation, curvature (topographic irregularities), sea distance, sea degree (proportion of sea area), forward obstruction degree, intermediate obstruction elevation, midpoint distance, and midpoint sea distance. At each measurement point, after a predetermined observation period has elapsed, the deterioration state of the test specimen S is determined. At each measurement point, the deterioration rate of the painted surface S2 of the test specimen S is measured based on the deterioration state of the painted surface S2.

[0023] Figure 2 shows the degradation state of test specimen S placed at six measurement points under different environmental conditions over a predetermined period. The degradation rate of test specimen S is calculated using the rust area ratio (% / year), which is the ratio of the area where rust occurred to the total area of ​​test specimen S during the measurement period (e.g., one year). In addition to the rust area ratio, other parameters such as electrical characteristic values ​​may be used to determine the degradation rate of test specimen S, if the corrosion state of test specimen S can be determined. As shown in the figure, the degradation state of test specimen S differs depending on the differences in environmental conditions at the measurement points. An indicator of the environmental conditions at the measurement points is, for example, the amount of ultraviolet radiation (MJ / m²). 2The zinc corrosion rate (μm / year) and the zinc corrosion rate ( / day) are used. These indicators are data measured in advance at the measurement points and stored in a database. Observing the deterioration state of test piece S reveals a tendency for the degree of deterioration of the painted surface S2 to increase as the deterioration factors of the painted surface at the measurement point increase. Based on the measurements obtained from test piece S, the deterioration rate of the painted surface S2 is quantified.

[0024] Using the deterioration rate of the painted surface S2 measured with test specimen S, and index data of the environmental conditions at the measurement point, a formula for estimating the deterioration rate of the painted surface of a structure is calculated. The deterioration rate estimation formula is a relational expression that calculates the deterioration rate of the painted surface based on parameters related to the deterioration factors of the painted surface, and can be used to estimate the deterioration rate of the painted surface of structures installed at locations other than the measurement point.

[0025] In the embodiment of the present invention, the deterioration rate of the painted surface of a structure is calculated, for example, using multiple regression analysis. The dependent variable of the deterioration rate estimation formula is set to the deterioration rate of the painted surface of the structure. The independent variables of the deterioration rate estimation formula are set to parameters related to the deterioration factors of the painted surface. The parameters of the independent variables are, for example, the zinc corrosion rate and the amount of ultraviolet light. Multiple regression analysis is a relational expression that determines the dependent variable Y based on arbitrary independent variables X1 to Xn (n: natural number). The multiple regression equation is a1 to a n When b is the coefficient and b is a constant, it is expressed by equation (1) below. Y = a1X1 + a2X2 + ...a n X n +b (1)

[0026] The dependent variable Y, the deterioration rate of the painted surface, is measured at multiple measurement points. The numerical values ​​of the explanatory variables X1 to Xn at the measurement points are obtained from a database corresponding to the measurement points. Multiple regression analysis is performed using the measured values ​​of the deterioration rate and the recorded values ​​of the explanatory variables, and the coefficients a1 to a of the relational equation are determined. n The constant b is calculated. As an example, if the degradation rate of the painted surface is the dependent variable and the zinc corrosion rate and the amount of ultraviolet light are the independent variables, the relationship is shown by the following equation (2) based on multiple regression analysis. Rust area rate (% / year) = 31.35 x zinc corrosion rate (μm / year) + 177.87 x UV dose (MJ / m2 / day) - 161.75 (2)

[0027] As shown in Figure 3, there is a correlation between the calculated relational equation and the measured values. Using the calculated relational equation, it is possible to quantitatively estimate the deterioration rate of the painted surface of structures located at points other than the measurement points. As shown in Figure 4, the deterioration rate of the painted surface is related to the fact that it is faster when the corrosion-related factors and the polymer degradation-related factors are large, and slower when the corrosion-related factors and the degradation-related factors are small. Based on the relational equation, the deterioration rate of the painted surface of structures located at positions different from the measurement points is calculated based on parameters such as zinc corrosion rate and ultraviolet radiation amount, depending on the location. Based on the calculated values, a map can be created that serves as management information for managing the future state of painted surfaces, corresponding to the location and the structure.

[0028] Figure 5 shows an example of a map display image M1. In display image M1, the map is meshed, and metal structures such as transmission towers T are placed in multiple mesh elements Ms. Each transmission tower T is assigned an ID, and the ID is associated with management information for management purposes.

[0029] Figure 6 shows an example of management information K for transmission tower T. Management information K is created, for example, based on calculation results calculated using a relational formula. Management information K is displayed, for example, based on the operation of selecting transmission tower T on a map. Management information K is displayed on the display unit of the management device described later. Management information K allows for the quantitative estimation of the future state of the painted surface of the structure based on the calculated value, and the timing of the next painting of the painted surface of the structure can be calculated by comparing the calculated value with a preset threshold.

[0030] In the management information K, for the iron tower T calculated to be close to the painting time based on the deterioration level of the painted surface, information such as an alert may be shown on the display image M1. The alert may display, for example, character information or information based on an image. The information based on an image may be, for example, displayed with a color that differentiates the mesh element Ms including the iron tower T calculated to be at the painting time from other mesh elements Ms on the display image M1.

[0031] As shown in FIG. 7, the management information K may be automatically generated and managed based on the structure management system 1 for managing the iron tower T. The structure management system 1 includes, for example, a predetermined number of detection units 2-n provided on a plurality of selected iron towers Tn (n < m, m and n are natural numbers) among a predetermined number of iron towers Tm to be managed, and a structure management device 10 that manages the deterioration state of the painted surface of the iron tower T based on the detection results of the detection units 2-n.

[0032] The iron tower Tn is selected from a plurality of measurement points with different environmental conditions among the predetermined number of iron towers Tm. A test piece S is arranged on the iron tower Tn in a state of being exposed to the air. The iron tower Tn is provided with a detection unit 2-n for measuring the deterioration rate of the painted surface S2 of the test piece S. The detection unit 2-n, for example, uses a camera to image the painted surface S2 of the test piece S and generates imaging data that is the measured value of the deterioration rate. In addition to the imaging data, the detection unit 2-n may detect the current value or voltage flowing through the electrodes provided on the test piece S. The detection unit 2-n is communicably connected to the structure management device 10 via a network NW based on, for example, wired or wireless communication. The detection unit 2-n periodically transmits detection values such as imaging data to the structure management device 10 at a predetermined timing, such as monthly.

[0033] The structure management device 10 is an information processing terminal device that generates management information K for managing the status and painting schedule of the transmission tower Tm to be managed. The structure management device 10 can be implemented using, for example, a personal computer, a tablet terminal, or a smartphone. The structure management device 10 is connected to the detection unit 2-n via a network NW for communication. The structure management device 10 includes, for example, an acquisition unit 12 that acquires detection value data from the detection unit 2, a calculation unit 14 that generates management information K based on the detection value, a storage unit 16 that stores data related to the calculation, and a display unit 18 that displays the calculation results.

[0034] The acquisition unit 12 acquires measured values ​​of the deterioration rate of the test painted surface of a test piece S having a painted surface S2 with a higher deterioration rate than the painted surface applied to the transmission tower Tn. The acquisition unit 12 is a communication interface connected to a local network or a public network. The storage unit 16 has a storage medium such as a hard disk drive (HDD) or flash memory. The storage unit 16 is not necessarily built into the structure management device 10 or connected externally, and may be provided on a server (not shown) that provides data via the network. The display unit 18 is a display device such as a liquid crystal display. The display unit 18 displays a display image M1 and management information K.

[0035] Using the acquired imaging data, the structural management device 10 records the deterioration state of the painted surface S2 of the test piece S. At this time, the deterioration state of the painted surface S2 of the test piece S may be input based on the operator's experience, or it may be automatically determined based on processing by the calculation unit 14. The calculation unit 14 determines the deterioration state of the test piece S based on imaging data obtained by imaging the test piece S. The calculation unit 14 determines the deterioration state of the test piece S in the imaging data based on machine learning using deep learning, for example, using imaging data that shows the degree of corrosion of the test piece S in advance as training data.

[0036] Figure 8 shows the steps of the structure management method in a flowchart. The manager prepares a test specimen with a test painted surface (step S100). The manager places the test specimen at multiple measurement points with different environmental conditions (step S102). The calculation unit 14 measures the deterioration rate of the test painted surface at the measurement points based on the deterioration state of the test specimen (step S104). Step S104 may be a judgment process by the manager. The calculation unit 14 performs multiple regression analysis using the measured values ​​of the deterioration state of the test specimen S and calculates a relational expression for calculating the deterioration rate of the painted surface of the transmission tower T based on parameters related to the deterioration factors of the painted surface (step S106).

[0037] The calculation unit 14 calculates the deterioration rate of the painted surface of the transmission tower T, which is located at a different position from the measurement point, based on the relational expression and parameters corresponding to the position (step S108). The calculation unit 14 calculates a relational expression in which the deterioration rate is the rust area ratio, which indicates the degree of rust occurrence on the painted surface, and parameters such as the zinc corrosion rate, which indicates the degree of corrosion of the plating layer beneath the painted surface, and the amount of ultraviolet light and the zinc corrosion rate at the location of the structure that affects the deterioration of the painted surface. The calculation unit 14 estimates the painting timing of the transmission tower T. The calculation unit 14 generates management information K, which includes the calculated painting timing of the transmission tower T.

[0038] The calculation unit 14 uses the calculated relational expression to create a map that manages the state of the painted surface corresponding to the position and the transmission tower T (step S110). The calculation unit 14 creates a map that manages the state of the painted surface corresponding to the position and the structure. The calculation unit 14 controls the display unit 18 to display the management information K (step S112).

[0039] The arithmetic unit 14 is realized by a processor such as a CPU (Central Processing Unit) or GPU (Graphics Processing Unit) executing a program (software). Some or all of these functional units may be realized by hardware such as an LSI (Large Scale Integration), ASIC (Application Specific Integrated Circuit), or FPGA (Field-Programmable Gate Array), or by the cooperation of software and hardware. The program may be stored in a storage device such as an HDD (Hard Disk Drive) or flash memory provided in the storage unit 16 in advance, or it may be stored on a removable storage medium such as a DVD or CD-ROM and installed on the storage device when the storage medium is inserted into a drive device.

[0040] The program instructs the computer installed in the structural management device 10, which manages the deterioration state of the painted surface of the transmission tower T, to perform the following processes: The program obtains measured values ​​of the deterioration rate of the painted surface S2 of test pieces S installed at multiple measurement points with different environmental conditions. The program performs multiple regression analysis using the measured values. The program calculates a relational equation that calculates the deterioration rate of the painted surface based on parameters related to the deterioration factors of the painted surface. Based on the relational equation, the program calculates the deterioration rate of the painted surface of structures located at different locations from the measurement points, based on location-specific parameters. The program creates a map that manages the state of the painted surface corresponding to the location and the structure.

[0041] As described above, the structural management method allows for accurate and quantitative estimation of the future deterioration state of the painted surface of a metal structure. The structural management method allows for the calculation of a relational expression that quantitatively represents the deterioration rate of the painted surface of a metal structure by utilizing a test specimen S having a painted surface S2 with a higher deterioration rate than the actual painted surface of the structure. Using this relational expression, the structural management method allows for the prediction of the future deterioration state of the painted surfaces of other structures located at positions other than the structure at the observation point. The structural management method allows for the creation of a map that manages the condition of the painted surfaces of all structures under management using this relational expression. Based on this map, the repainting timing of the painted surfaces of all structures under management can be managed.

[0042] Although several embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their variations are included in the scope and spirit of the invention, as well as in the claims and their equivalents. For example, the structural management method may be applied not only to steel towers T but also to other metal structures, and to the estimation of the deterioration state of painted surfaces having a metal substrate, such as ships and vehicles. The structural management method may calculate a relational expression using the zinc corrosion rate and other parameters such as climatic and environmental conditions that affect the deterioration state of the painted surface, as well as the amount of ultraviolet light at the aforementioned location on the structure.

[0043] The test specimen S may be not only one painted on a metal substrate, but also one that reproduces a state where the old painted surface has been scraped without being removed and then painted, in order to determine the rate of deterioration from the previously applied painted state. In this case, the test specimen S may be formed by reproducing the old painted surface with various film thicknesses, and the rate of deterioration may be determined. In environments where the rate of deterioration of the painted surface is high, the timing of painting may be determined not only by the test specimen S, but also by observing the deterioration state of the actual painted surface of the structure. The estimated result of the future deterioration state of the painted surface calculated using the relational formula may be appropriately modified based on actual measurement data obtained by observing the deterioration state of the actual painted surface of the structure. [Explanation of Symbols]

[0044] 10 Structure management equipment 12 Acquisition Department 14 Arithmetic section S Test piece S2 Painted surface

Claims

1. A test specimen was prepared having a test coating surface that was thinner and had a higher rate of deterioration compared to the coating surface applied to the structure. The aforementioned test specimens are placed at multiple measurement points with different environmental conditions, Based on the deterioration state of the test specimen, the deterioration rate of the test painted surface at the measurement point is measured. Multiple regression analysis is performed using the measured values ​​obtained from the measurement to calculate a relational equation for determining the deterioration rate of the painted surface based on parameters related to the deterioration factors of the painted surface. Based on the above relational expression, the deterioration rate of the painted surface of the structure located at a position different from the measurement point is calculated based on the parameters corresponding to the position. A map is created to manage the state of the painted surface, corresponding the aforementioned location to the aforementioned structure. Structure management methods.

2. The parameters include the zinc corrosion rate, which indicates the degree of corrosion of the plating layer beneath the painted surface, and the amount of ultraviolet light at the location of the structure that affects the deterioration of the painted surface. The aforementioned deterioration rate includes the rust area ratio, which indicates the degree of rust formation on the painted surface. The structural management method according to claim 1.

3. An acquisition unit that acquires actual measured values ​​of the deterioration rate of the test painted surface of a test specimen, which has a test painted surface that is thinner and has a higher deterioration rate compared to the painted surface applied to a structure, by placing the test specimen at multiple measurement points with different environmental conditions, The system includes a calculation unit that performs multiple regression analysis using the measured values, calculates a relational expression for calculating the deterioration rate of the painted surface based on parameters related to the deterioration factors of the painted surface, calculates the deterioration rate of the painted surface of the structure located at a different position from the measurement point based on the parameters corresponding to the position, and creates a map for managing the state of the painted surface corresponding to the position and the structure. Structure management equipment.

4. A computer installed in a structural management device that manages the deterioration status of painted surfaces of structures, The system is installed at multiple measurement points with different environmental conditions, and based on the deterioration state of test specimens having a test painted surface that is thinner and has a higher deterioration rate compared to the painted surface applied to the structure, it obtains measured values ​​obtained by measuring the deterioration rate of the test painted surface at the measurement points. Using the aforementioned measured values, perform a multiple regression analysis. A relational expression is calculated to determine the rate of deterioration of the painted surface based on parameters related to the deterioration factors of the painted surface. Based on the aforementioned relational expression, the deterioration rate of the painted surface of the structure, which is located at a position different from the measurement point, is calculated based on the parameters corresponding to the position. To create a map that manages the state of the painted surface, corresponding the aforementioned position to the aforementioned structure. program.

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