JP7000169B2 - Deterioration estimation device, deterioration estimation system, deterioration estimation method and computer program - Google Patents

Description

Embodiments of the present invention relate to a deterioration estimation device, a deterioration estimation system, a deterioration estimation method, and a computer program.

When unsaturated polyester, which is an insulating material used in equipment such as power receiving and transforming equipment, deteriorates, its insulation resistance value decreases. As a result, insulation trouble may occur. The insulation resistance value itself is difficult to measure. Therefore, conventionally, it has been practiced to estimate the insulation resistance value from other measured values. For example, a method of estimating the insulation resistance value by using measurement results such as glossiness, color difference and other characteristic values of the material surface, stain degree, stain factor such as ion adhesion amount, temperature and humidity for multivariate analysis is known. There is.

However, in the estimation using the characteristic values of the material surface such as glossiness and color difference, it is difficult to evaluate along the deterioration mechanism of unsaturated polyester. Therefore, the estimation accuracy of the insulation resistance value may decrease.

Japanese Unexamined Patent Publication No. 09-75918

The problem to be solved by the present invention is to provide a deterioration estimation device, a deterioration estimation system, a deterioration estimation method, and a computer program capable of estimating the deterioration of an insulating material containing an inorganic substance as an additive with higher accuracy. That is.

The deterioration estimation device of the embodiment includes an image acquisition unit and a deterioration estimation unit. The image acquisition unit acquires image data for the subject of an insulating material containing an inorganic substance as an additive from an image pickup unit that photoelectrically converts light from the subject into each of a plurality of wavelength bands. The deterioration estimation unit estimates the deterioration of the insulating material based on the spectral reflection intensities of the plurality of wavelength bands in the image data acquired by the image acquisition unit.

It is a figure which shows the configuration example of the deterioration estimation system 1 in this embodiment. It is a figure which shows the specific example of the average spectrum of the observation surface obtained by taking an image with a hyperspectral camera using unsaturated polyester used as an insulating material as a sample. It is a figure which shows the example of the result of having performed FT-IR analysis using unsaturated polyester used as an insulating material as sample 8. It is a figure which shows the structural example of the deterioration estimation apparatus 2. It is a flow diagram explaining the operation of the deterioration estimation apparatus 2. It is a figure which shows the specific example of the deterioration estimation system 1. It is a figure which shows the modification of the deterioration estimation system 1.

Hereinafter, the deterioration estimation device, the deterioration estimation system, the deterioration estimation method, and the computer program of the embodiment will be described with reference to the drawings.

FIG. 1 is a diagram showing a configuration example of the deterioration estimation system 1 in the present embodiment. As shown in FIG. 1, the deterioration estimation system 1 includes a deterioration estimation device 2, a display device 3, an input device 4, an image pickup device 5, and a cable 6.

The image pickup apparatus 5 includes an image pickup tray 51, a light-shielding wall 52, an image pickup unit 53, and a light source 54. The image pickup tray 51 is a tray on which the sample 8 to be imaged by the image pickup unit 53 is placed. Sample 8 is an insulating material for which deterioration is estimated. The insulating material used as the sample 8 contains an inorganic substance as an additive. For example, unsaturated polyester may be used as sample 8.

The light-shielding wall 52 is, for example, a box-shaped one having an upper surface on which the image pickup unit 53 and the light source 54 are installed, a side surface supporting the upper surface, and a lower surface on which the image pickup tray 51 is installed. The light-shielding wall 52 has a function of shielding the sample 8 on the image pickup tray 51 imaged by the image pickup unit 53 from light other than the light emitted from the light source 54 (external light or the like). For example, the inner wall surface of the light-shielding wall 52 is coated with an antireflection film in order to suppress the influence of flare, stray light, and the like during imaging.

The image pickup unit 53 includes an image pickup element in which pixels having sensitivity capable of discriminating peaks of signal intensities in a plurality of specific wavelength bands are arranged. The image pickup element included in the image pickup unit 53 has a configuration in which pixels for photoelectrically converting light from a subject are arranged, and may be a single plate or a plurality of plates. A particular wavelength is a plurality of wavelength bands useful for estimating the deterioration of the insulating material. The specific wavelengths are, for example, 650 nm to 750 nm (first wavelength band) and 800 nm to 900 nm (second wavelength band). The image pickup unit 53 processes signals from pixels having sensitivities in these plurality of wavelength bands and outputs them as sample image data. The sample image data may be, for example, data having values of light receiving intensity in a plurality of wavelength bands in each pixel. For example, for each pixel, the value of the light receiving intensity of the light in the first wavelength band, the value of the light receiving intensity of the light in the second wavelength band, and the value of the light receiving intensity of the light in the wavelength band close to these wavelength bands. , May be given. As a result, the deterioration estimation device 2 can analyze the spectra of 650 nm to 750 nm (first wavelength band) and 800 nm to 900 nm (second wavelength band) based on the sample image data from the image pickup unit 53. It will be possible.

The image pickup unit 53 transfers the sample image data, which is the image data including the spectrum data of a specific wavelength in each pixel obtained by imaging the sample 8 on the image pickup tray 51, to the deterioration estimation device 2 via the cable 6. Output.

The deterioration estimation device 2 is a computer that is connected to the image pickup unit 53 of the image pickup device 5 via a cable 6 and has a function of acquiring sample image data from the image pickup unit 53. The deterioration estimation device 2 has a function of outputting deterioration information, which is information that estimates the degree of deterioration of the insulating material, based on the acquired sample image data. Further, the deterioration estimation device 2 has a function of classifying the sample image data into pixels having similar spectral data. The deterioration estimation device 2 may have a function of performing color-coding processing on the classified pixels.

The display device 3 is a display device connected to the deterioration estimation device 2 and displays deterioration information. The display device 3 may display the sample image data or the analysis result of the sample image data, if necessary.

The input device 4 is an input device such as a keyboard and a mouse connected to the deterioration estimation device 2. The input device 4 may be a device capable of reading data from the recording medium mounted on the deterioration estimation device 2. As a result, the input device 4 can input the data recorded on the recording medium. A touch panel terminal may be used to integrate the deterioration estimation device 2, the display device 3, and the input device 4.

FIG. 2 is a diagram showing a specific example of an average spectrum of an observation surface obtained by taking an image with a hyperspectral camera (imaging unit 53) using unsaturated polyester used as an insulating material as a sample 8. In FIG. 2, the average spectrum obtained from the observation surface of each sample of a new product, a deteriorated product equivalent to 10 years, a deteriorated product equivalent to 30 years, a deteriorated product equivalent to 40 years, a deteriorated product equivalent to 60 years, and a forced heat deteriorated product. It is shown. As shown in FIG. 2, the spectrum of the sample that has been forcibly thermally deteriorated has an increased spectral reflection intensity after 800 nm. On the other hand, at 650 nm to 750 nm, there is no significant difference in the spectrum between the new product and the deteriorated product. FIG. 2 shows a frame 31 showing a wavelength band of 650 nm to 750 nm and a frame 32 showing a wavelength band of 800 nm to 900 nm. The first wavelength band includes the wavelength band of the frame 31, and the second wavelength band includes the wavelength band of the frame 32.

FIG. 3 is a diagram showing an example of the result of FT-IR analysis using unsaturated polyester used as an insulating material as sample 8. From FIG. 3, it can be seen that when the unsaturated polyester deteriorates, the unsaturated polyester on the surface decreases and the amount of inorganic substances (calcium carbonate, aluminum hydroxide, etc.) added as a filler increases relatively. It was speculated that this relative increase in inorganic substances was the cause of the increase in spectral reflection intensity after 800 nm. Based on such an estimation, the deterioration estimation device 2 of the embodiment deteriorates based on the values of the wavelength band of 650 nm to 750 nm (first wavelength band) and the wavelength band of 800 nm to 900 nm (second wavelength band). To estimate.

Next, the flow of the estimation process in the deterioration estimation system 1 will be described.
For example, the user places the unsaturated polyester to be estimated as the sample 8 on the imaging tray 51. The image pickup unit 53 takes an image of the sample 8 placed on the image pickup tray 51 and generates sample image data. The image pickup unit 53 outputs the generated sample image data to the deterioration estimation device 2 via the cable 6. The deterioration estimation device 2 acquires deterioration information based on the received sample image data, and displays the deterioration information on the display device 3.

Next, a configuration example of the deterioration estimation device 2 will be described.
FIG. 4 is a diagram showing a configuration example of the deterioration estimation device 2. As shown in FIG. 4, the deterioration estimation device 2 includes an image acquisition unit 21, a wavelength band processing unit 22, a reference information storage unit 23, an input processing unit 24, a deterioration estimation unit 25, and a display control unit 26. Be prepared.

A cable 6 is connected to the image acquisition unit 21. The image acquisition unit 21 acquires sample image data captured by the image pickup unit 53 in the image pickup device 5.

The wavelength band processing unit 22 acquires the values of the spectral reflection intensities of the first wavelength band and the second wavelength band in the sample image data acquired by the image acquisition unit 21. The wavelength band processing unit 22 generates index information based on the acquired value.
The wavelength band processing unit 22 has, for example, an average value M of the spectral reflection intensity values in the first wavelength band and an average value N of the spectral reflection intensity values in the second wavelength band in each pixel of the image of the sample 8. The index information may be calculated by calculating the following equation using.
Index information = (MN) / (M + N) ... (Equation 1)

The wavelength band processing unit 22 may calculate the index information by, for example, calculating the following equation using the coefficients m and n in addition to the above-mentioned values M and N.
Index information = (mM-nN) / (mM + nN) ... (Equation 2)
Note that m and n are arbitrary coefficients, and for the purpose of improving the accuracy of deterioration estimation based on the index information, for example, they are coefficients that take a value from -1 to 1 (-1 ≦ m ≦ 1, -1 ≦ n). ≦ 1). The coefficients m and n are unsaturated polyesters that have not deteriorated based on the results of changing the values of the coefficients m and n by inputting the actually measured values of M and N for a plurality of types of samples 8. Find the value that can be most accurately distinguished from the deteriorated unsaturated polyester.

The above two equations are examples of a method for obtaining index information, and the wavelength band processing unit 22 may generate index information by another method. For example, index information may be generated as information indicating whether the peak of the spectral reflection intensity value is located in the first wavelength band or the second wavelength band.

The reference information storage unit 23 is a storage device such as a magnetic hard disk device or a semiconductor storage device. The reference information storage unit 23 stores the reference information used for estimating deterioration in the deterioration estimation unit 25. For example, the reference information storage unit 23 may store information indicating in which of the first wavelength band and the second wavelength band the peak occurs in the deteriorated unsaturated polyester as reference information. For example, the reference information storage unit 23 may store the threshold value of the index information and the information indicating whether it is determined to be deteriorated when it is larger or smaller than the threshold value as the reference information. .. The reference information storage unit 23 may store a plurality of threshold values and information indicating the degree of deterioration according to each threshold value as reference information.

The input processing unit 24 receives input of data or the like from the input device 4. The input processing unit 24 acquires data indicating reference information input from the input device 4. The input processing unit 24 records the acquired reference information in the reference information storage unit 23.

The deterioration estimation unit 25 estimates the deterioration that occurs in the unsaturated polyester sample 8 based on the reference information stored in the reference information storage unit 23 and the index information acquired by the wavelength band processing unit 22. The deterioration estimation unit 25 may estimate whether or not a predetermined degree of deterioration has occurred in the sample 8. The deterioration estimation unit 25 may estimate the degree of deterioration occurring in the sample 8.

For example, when the reference information is "information indicating in which of the first wavelength band and the second wavelength band the peak occurs in the deteriorated unsaturated polyester", the deterioration estimation unit 25 uses the index information as index information. Based on this, it is determined whether the peak occurs in the first wavelength band or the second wavelength band in the sample image of the sample 8. Then, it is determined whether or not the determination result and the reference information match. If they match, the deterioration estimation unit 25 determines that the sample 8 has deteriorated. On the other hand, if they do not match, the deterioration estimation unit 25 determines that the sample 8 has not deteriorated.

For example, when the reference information is information related to the threshold value of the index information, the deterioration estimation unit 25 compares the threshold value with the index information based on the reference information, and whether or not the sample 8 is deteriorated according to the comparison result. judge.

For example, when the reference information is information relating to a plurality of threshold values of the index information, the deterioration estimation unit 25 compares each threshold value with the index information based on the reference information, and deteriorates the sample 8 according to the threshold value of the comparison result. Determine the degree.

Next, the operation of the deterioration estimation device 2 will be described. FIG. 5 is a flow chart illustrating the operation of the deterioration estimation device 2. The image acquisition unit 21 acquires sample image data from the image pickup unit 53 (step S101). The wavelength band processing unit 22 acquires index information regarding the first wavelength band and the second wavelength band based on the sample image data acquired by the image acquisition unit 21 (step S102). The deterioration estimation unit 25 estimates the deterioration occurring in the sample 8 (step S103). The display control unit 26 causes the display device 3 to display the result estimated by the deterioration estimation unit 25 (step S104).

In the deterioration estimation system 1 described above, the deterioration occurring in the sample 8 is estimated based on the information regarding the wavelength band of the sample image data captured by the image pickup unit 53. As described with reference to FIG. 3, the estimation of deterioration based on the information on the wavelength band is an evaluation along the deterioration mechanism of the insulating material (for example, unsaturated polyester) containing an inorganic substance as an additive. Therefore, it is possible to estimate the deterioration of the insulating material containing the inorganic substance as an additive with higher accuracy.
Further, since the estimation result is displayed on the display device 3, the user can immediately visually recognize the estimation result regarding deterioration.

(Modification example)
The sample 8 may be a sample obtained from the insulating material itself to be estimated for deterioration, or is not the insulating material itself to be estimated for deterioration but is the same kind of material and is installed in the same kind of environment. It may be a material. For example, if it is difficult to obtain a sample from an insulating material (hereinafter referred to as "actual material") for which deterioration is actually estimated, the same type of material as the actual material is used in the environment where the actual material is installed. By installing it in the same environment as or in the same kind of environment, it can be deteriorated in the same way as the actual material. By using the sample so installed as the sample 8 of the deterioration estimation system 1, it is possible to indirectly obtain an estimation result regarding the deterioration of the actual material. For example, the same insulating material used for the vacuum breaker actually used may be installed around the vacuum breaker from the same period. In this case, deterioration of the insulating material of the vacuum circuit breaker can be estimated by using the insulating material installed around the vacuum circuit breaker as the sample 8. In such an operation, the image pickup apparatus 5a and the transmitter 9 may be installed around the operated vacuum circuit breaker (for example, in the same building).

FIG. 6 is a diagram showing a specific example of the deterioration estimation system 1 when operated in this way. The sample 8 and the vacuum breaker are installed in almost the same environment. The image pickup unit 53 takes an image of the sample 8 at a predetermined timing (for example, every 24 hours, every week, etc.), and outputs the sample image data to the transmitter 9. The transmitter 9 transmits the document image data to the deterioration estimation device 2 via the network. The deterioration estimation device 2 executes the estimation process based on the received material image data. With such a configuration, the user can acquire information on deterioration of the insulating material of a device such as a vacuum barrier without having to bother to set the sample 8 in the image pickup device 5. The vacuum breaker in FIG. 6 is only a specific example of a device to which an insulating material is applied. The insulating material to be estimated does not have to be limited to the vacuum circuit breaker.

FIG. 7 is a diagram showing a modification of the deterioration estimation system 1. In the example of FIG. 7, the image pickup apparatus 5b is configured as a device including an image pickup unit 53, a plurality of light sources 54, and a connection interface 6a. The image pickup device 5b is connected to the deterioration estimation device 2 via the connection interface 6a. The connection interface 6a is a connector capable of transmitting and receiving data. The connection interface 6a may be, for example, a USB terminal. The image pickup device 5b is configured as one portable device. The deterioration estimation device 2 may be configured by using a portable information device. The deterioration estimation device 2 may be, for example, a smartphone or a tablet terminal. The image pickup device 5b performs an image pickup in response to the operation of the deterioration estimation device 2 with respect to the input device. For example, when the user gives an image pickup instruction to the deterioration estimation device 2, the image pickup instruction is output to the image pickup device 5b. The image pickup apparatus 5b turns on the light source 54 in response to the image pickup instruction, and the image pickup unit 53 performs the image pickup process. By configuring the deterioration estimation system 1 using such a portable device, the user can directly obtain information on deterioration by imaging the insulating material itself used in a large device that is difficult to move. Can be obtained.

In FIG. 7, an information device to which the image pickup device 5b is connected may be configured to transmit sample image data to a server or a cloud. In this case, the server or cloud may function as the deterioration estimation device 2.

In the above description, the index information is calculated based on the average value of the values in each pixel of the image of the sample 8. On the other hand, the index information may be acquired for each pixel. With such a configuration, it is possible to accurately estimate the deterioration that occurs partially (locally) in the sample 8.

According to at least one embodiment described above, the deterioration occurring in the sample 8 is estimated based on the information regarding the wavelength band of the sample image data captured by the imaging unit 53. Therefore, it is possible to estimate the deterioration of the insulating material with higher accuracy.

Further, when the functions in the deterioration estimation device 2 described above are realized by software, a program for realizing those functions is recorded on a computer-readable recording medium, and the program is read into the computer system. You may try to execute it. The term "computer system" as used herein includes hardware such as an OS (Operating System) and peripheral devices. The "computer-readable recording medium" refers to a portable medium such as a flexible disk, a magneto-optical disk, a ROM, a CD (Compact Disk) -ROM, or a storage device such as a hard disk built in a computer system. .. Furthermore, a "computer-readable recording medium" is a volatile memory (RAM) inside a computer system that serves as a server or client when a program is transmitted via a network such as the Internet or a communication line such as a telephone line. In addition, it shall include those that hold the program for a certain period of time.

Further, the above program may be transmitted from a computer system in which this program is stored in a storage device or the like to another computer system via a transmission medium or by a transmission wave in the transmission medium. Here, the "transmission medium" for transmitting a program refers to a medium having a function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line.

Further, the above program may be for realizing a part of the above-mentioned functions. Further, the above program may be a so-called difference file (difference program) that can realize the above-mentioned functions in combination with a program already recorded in the computer system.

Although some 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 embodiments, and various omissions, replacements, and changes can be made without departing from the gist of the invention. These embodiments and variations thereof are included in the scope of the invention described in the claims and the equivalent scope thereof, as are included in the scope and gist of the invention.

1 ... Deterioration estimation system, 2 ... Deterioration estimation device, 3 ... Display device, 4 ... Input device, 5 ... Imaging device, 6 ... Cable, 51 ... Imaging tray, 52 ... Shading wall, 53 ... Imaging unit, 54 ... Light source , 8 ... sample, 21 ... image acquisition unit, 22 ... wavelength band processing unit, 23 ... reference information storage unit, 24 ... input processing unit, 25 ... deterioration estimation unit, 26 ... display control unit

Claims (4)

An image acquisition unit that acquires image data of an insulating material containing an inorganic substance as an additive from an image pickup unit that photoelectrically converts light from a subject into multiple wavelength bands.
A deterioration estimation unit that estimates deterioration of the insulating material based on the spectral reflection intensities of the plurality of wavelength bands in the image data acquired by the image acquisition unit.
Equipped with
The imaging unit photoelectrically converts light in the first wavelength band and the second wavelength band.
The first wavelength band is a wavelength band of 650 nm to 750 nm.
The second wavelength band is a wavelength band of 800 nm to 900 nm.
The deterioration estimation unit is a deterioration estimation device that estimates deterioration of the insulating material based on the spectral reflection intensity of the first wavelength band and the spectral reflection intensity of the second wavelength band . An imaging unit that photoelectrically converts light from a sample as a subject into each of a plurality of wavelength bands and photoelectrically converts light in the first wavelength band and the second wavelength band .
The deterioration estimation device according to claim 1 and
Equipped with
The deterioration estimation system in which the sample as the subject is an insulating material of the same type as the actual material which is the insulating material for which deterioration is estimated, and is an insulating material installed in the same environment as the actual material . An image acquisition step of acquiring image data of an insulating material containing an inorganic substance as an additive from an image pickup unit that photoelectrically converts light from a subject into a plurality of wavelength bands.
A deterioration estimation step for estimating deterioration of the insulating material based on the spectral reflection intensities of the plurality of wavelength bands in the image data acquired in the image acquisition step, and a deterioration estimation step.
Have,
The imaging unit photoelectrically converts light in the first wavelength band and the second wavelength band.
The first wavelength band is a wavelength band of 650 nm to 750 nm.
The second wavelength band is a wavelength band of 800 nm to 900 nm.
A deterioration estimation method for estimating deterioration of the insulating material based on the spectral reflection intensity of the first wavelength band and the spectral reflection intensity of the second wavelength band in the deterioration estimation step . An image acquisition unit that acquires image data of an insulating material containing an inorganic substance as an additive from an image pickup unit that photoelectrically converts light from a subject into multiple wavelength bands.
A deterioration estimation unit that estimates deterioration of the insulating material based on the spectral reflection intensities of the plurality of wavelength bands in the image data acquired by the image acquisition unit.
Equipped with
The imaging unit photoelectrically converts light in the first wavelength band and the second wavelength band.
The first wavelength band is a wavelength band of 650 nm to 750 nm.
The second wavelength band is a wavelength band of 800 nm to 900 nm.
The deterioration estimation unit functions as a deterioration estimation device for estimating deterioration of the insulating material based on the spectral reflection intensity of the first wavelength band and the spectral reflection intensity of the second wavelength band. Computer program.

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