JP6955908B2 - Refractory abnormality judgment system and refractory abnormality judgment method - Google Patents

Description

The present invention relates to a refractory abnormality determination system and a refractory abnormality determination method.
More specifically, the present invention relates to a system for photographing the surface temperature of a moving refractory with an infrared camera and monitoring an abnormal temperature state of the refractory, and a method thereof.

The storage container used in a metal refining facility such as a steel mill for storing molten metal such as molten iron is composed of iron skin on the outside and refractory bricks on the inside. The storage container includes a ladle suspended from a rail and a torpedo car (torpedo car, also called TPC for short) having the form of a railroad vehicle. In addition to the storage containers, there are many facilities in metal refining facilities that are exposed to extremely high temperatures. From now on, it will be generically referred to as refractory as a superordinate concept that refers to these facilities. Further, in order to simplify the explanation, a steel mill will be described as an example of a metal refining facility, and molten iron will be described as an example of a molten metal.

The ladle suspended from the rail is responsible for accommodating the molten iron from the blast furnace and transporting it to another refining process.
The refractory bricks inside the ladle are gradually scraped and deteriorated by the molten iron with repeated use. Then, the thickness of the inner pot made of refractory bricks gradually decreases.
As the refractory bricks that make up the inner pot progress, the refractory bricks partially disappear, the molten iron touches the iron skin, and the iron skin, which is iron, also melts and punctures.
In order to prevent such accidents, the applicant has delivered a system for monitoring the surface temperature of the ladle to a metal smelting facility such as a steel mill.
The surface temperature of the ladle is photographed with an infrared camera from a remote location, and the surface temperature of the ladle is compared with a predetermined threshold value. Then, when a dangerous part is found, the use of the ladle is stopped and the refractory bricks are repaired.

Patent Document 1 discloses a technique of a thermal imaging system corresponding to the prior art of the present invention.

Patent No. 5226337

In the refractory brick restoration work, the refractory bricks are manually replaced after waiting for the ladle to cool to room temperature. For this reason, the time required for the work process is long, and the labor becomes complicated. Refractory brick repair work is a task that steelworks operators do not want to do as often as possible, and therefore refractory brick repair work will be carried out at the last minute until the repair work is required.
The ladle monitoring system that the applicant has delivered to steelworks and is in operation is designed to detect the dangerous temperature state of the ladle at an early stage in anticipation of safety. However, in response to the above-mentioned request from a business operator such as a steel mill, it is necessary to more precisely monitor the state of the surface temperature of the ladle. In other words, it is required to realize a ladle monitoring system that achieves both safety and availability of the ladle from another viewpoint, rather than simply setting the threshold value to the limit temperature.
The temperature state of the ladle changes depending on the conditions before the time of measurement. For example, the temperature varies depending on the time during which the high-temperature substance is filled before the measurement. If the judgment is made without considering the difference in conditions, an undesired problem such as erroneously issuing an alarm or not issuing an alarm in the event of an abnormality occurs.

The present invention has been made in view of the above points, and an object of the present invention is to provide a refractory abnormality determination system and a refractory abnormality determination method for realizing a precise temperature abnormality determination of a refractory.

In order to solve the above problems, the fireproof abnormality determination system of the present invention is obtained from the reference thermal image data consisting of the temperature data obtained by photographing the temperature of the fireproof object in the reference state, and from the temperature data obtained by photographing the current temperature of the fireproof object. By subtracting the temperature data of the corresponding coordinates of the current thermal image data, the first subtraction part that calculates the ΔT data, which is an aggregate of the temperature difference data, and the most frequent value of the ΔT data are calculated. Offset-corrected temperature data determination by subtracting the offset value from the value calculation unit, the offset calculation unit that calculates the offset value of the preset temperature data determination threshold based on the most frequent value, and the temperature data determination threshold. It includes a second subtraction unit that outputs a threshold value and a first comparison unit that compares the current thermal image data with the offset-corrected temperature data determination threshold value .

According to the refractory abnormality determination system and the refractory abnormality determination method of the present invention, it is not necessary to set dynamic conditions from the outside, and it is possible to realize a precise temperature abnormality determination of the refractory regardless of the usage condition of the refractory. It becomes possible.
Issues, configurations and effects other than those described above will be clarified by the following description of the embodiments.

It is the schematic of the refractory abnormality determination system which is an example of embodiment of this invention. It is a block diagram which shows the hardware configuration of a control computer. It is a block diagram which shows the software function of the control computer which concerns on 1st Embodiment of this invention. It is a bar graph which explains the internal processing of the mode calculation part, and shows the state which classified the temperature difference data which constitutes ΔT data by a predetermined temperature width. It is a schematic diagram for explaining the calculation process of the first down calculation unit. It is a block diagram which shows the software function of the control computer in the 2nd Embodiment of this invention. It is a schematic diagram explaining the arithmetic processing of the 3rd addition part. It is a block diagram which shows the software function of the control computer in the 3rd Embodiment of this invention. It is a block diagram which shows the software function of the control computer in 4th Embodiment of this invention. It is a schematic diagram for explaining the calculation process of the fifth decrease calculation unit.

[Refractory abnormality judgment system: overall configuration]
FIG. 1 is a schematic view of a refractory abnormality determination system, which is an example of an embodiment of the present invention.
The refractory abnormality determination system 101 is a system realized by using a thermal imaging system. A thermal image is taken and the abnormal temperature state is detected from the obtained temperature data.
At the A Steel Works, which operates the steel industry, the ladle 103 hung on the rail 102 is filled with molten iron and carried.
A first camera 104, a second camera 105, a third camera 106, and a fourth camera 107 for photographing the ladle 103 are installed at slightly distant positions on the transportation path of the ladle 103.
The first camera 104, the second camera 105, the third camera 106, and the fourth camera 107 are infrared cameras (thermal image capturing devices). For an infrared camera, the ladle 103 is a subject and a refractory that emits infrared rays.
The first camera 104, the second camera 105, the third camera 106, and the fourth camera 107 are connected to the control computer 109 at a remote location by LAN 108.

As is well known, the melting point of iron is extremely high at 1535 ° C. For this reason, the ladle 103 has refractory bricks having a heat insulating effect arranged inside, and the outside is made of steel. However, the heat of the molten iron gradually melts and scrapes the inner pot of refractory bricks. Then, the molten iron comes into contact with the steel outer pot. In this case, the outer pot made of the same material as the molten iron is melted in a short time, and in the worst case, the molten iron leaks from the ladle 103.

The degree of scraping of the inner pot of refractory bricks can be estimated from the surface temperature of the ladle 103.
As the inner pot is gradually melted by the molten iron, the wall thickness of the inner pot becomes thinner. Then, the heat of the molten iron is easily transferred to the outer pot. Therefore, monitoring the surface temperature of the ladle 103 contributes to the early detection of an abnormal state of the ladle 103.

By the way, the ladle 103 that moves on the rail 102 reciprocates on the rail 102. The ladle 103 filled with molten iron is transported to a predetermined place in that state, and the molten iron is poured from the ladle 103 into a predetermined container. Then, the empty ladle 103 moves in the opposite direction in order to return to picking up the molten iron again. Therefore, the surface temperature of the ladle 103 must be measured in a state where it is filled with molten iron.
In FIG. 1, the traveling direction from the left side to the right side (indicated by a solid arrow) corresponds to the moving direction in a state where the molten iron is filled.

When the control computer 109 detects that the first camera 104 on the LAN 108 has captured the pan 103 and then the second camera 105 has captured the pan 103, the first camera 104, the second camera 105, and the third camera Thermal image data, which is a collection of temperature data, is downloaded from the 106 and the fourth camera 107. This control computer 109 is a computer prepared for industrial use, and is substantially the same as a personal computer.

[Control computer 109: Hardware configuration]
FIG. 2 is a block diagram showing a hardware configuration of the control computer 109.
In the control computer 109, the CPU 201, ROM 202, RAM 203, non-volatile storage 204, display unit 205, and operation unit 206 are connected to the bus 207.
The control computer 109 downloads thermal image data from the first camera 104, the second camera 105, the third camera 106, and the fourth camera 107 on the LAN 108 through the NIC (Network Interface Card) 208 connected to the bus 207. ..

The non-volatile storage 204 stores an OS for operating the personal computer as the control computer 109, an application program, and various data files described later.

[First Embodiment: Control computer 109: Software function]
Hereinafter, the software function of the control computer 109 according to the first embodiment of the present invention will be described. The software function of the control computer 109 is the main body of the present invention, and the hardware configuration is common in the plurality of embodiments described below. The first, second, third, and fourth embodiments are described herein as variations of software functionality.
FIG. 3 is a block diagram showing a software function of the control computer 109 according to the first embodiment of the present invention. In FIG. 3, for convenience of explanation, the first camera 104, the second camera 105, the third camera 106, and the fourth camera 107 are collectively referred to as an infrared camera 301.
The thermal image data of a refractory object such as a ladle 103, which is a subject, output from the infrared camera 301 is once subjected to a well-known trimming process by the coordinate fine adjustment processing unit 302, and then once the first frame buffer 303. Is remembered in. In this trimming process, the background portion other than the refractory is deleted from the thermal image data.

On the other hand, the non-volatile storage 204 stores the reference thermal image data 304, which is a photograph of the refractory immediately after the refractory is maintained, or after the refractory is maintained and then run-in, as a data file. There is. The first decrease calculation unit 305, the reference thermal image data 304, subtracts the current thermal image data read from the first frame buffer 303. The first decrease calculation unit 305, by subtracting the current thermal image data from the reference thermal image data 304, the difference data for each of the temperature data (hereinafter, referred to as "ΔT data") to the.
The ΔT data is temporarily stored in the second frame buffer 306.

The ΔT data stored in the second frame buffer 306 is read into the mode calculation unit 307.
The mode calculation unit 307 classifies the temperature difference data constituting the ΔT data by a predetermined temperature range. Then, the number of temperature difference data belonging to each temperature range is counted, and ΔTm, which is a scalar value and is the mode of ΔT data, is calculated.
Here, a supplementary explanation will be added regarding the operation of the mode calculation unit 307.
FIG. 4 is a bar graph showing a state in which the temperature difference data constituting the ΔT data is classified by a predetermined temperature range, which explains the internal processing of the mode calculation unit 307. The vertical axis is the number of elements (number of dots) of the temperature difference data, and the horizontal axis is the temperature.

The temperature difference data constituting the ΔT data varies depending on the position of the ΔT data, that is, the position of the refractory. In addition, the refractory material deteriorates with repeated use, and the overall temperature tends to gradually rise immediately after the refractory material is maintained. Therefore, the temperature range is determined by subtracting the minimum value from the maximum value of the temperature difference data constituting the ΔT data and dividing by a predetermined number of divisions. The formula is as follows.
Maximum frequency temperature width Tw = (Temperature difference data maximum value TX-Temperature difference data minimum value TN) / Number of divisions n
Then, the temperature difference data is classified according to the most frequent temperature width Tw. FIG. 4 is an example of classifying the temperature difference data according to the most frequent temperature width Tw. In this bar graph, the temperature V401 of the group having the largest number of elements is defined as the mode value ΔTm of the ΔT data.

Returning to FIG. 3, the explanation of the block diagram will be continued.
The mode ΔTm output by the mode calculation unit 307 is input to the offset calculation unit 308.
The offset calculation unit 308 reads the offset calculation coefficient 309 and calculates the offset value To, which is a scalar value.
The mode value ΔTm indicates the most element among the temperature difference data constituting the ΔT data. Therefore, for example, when the refractory material is the ladle 103, the mode value ΔTm gradually shifts from 0 to a negative value when the overall temperature of the ladle 103 rises from the reference state by continuous use. That is, a temperature offset occurs.

Even if the mode value ΔTm is adopted as the offset value as it is and subtracted from the ΔT data stored in the second frame buffer 306, the correspondingly corrected ΔT data can be obtained. However, if the mode value ΔTm is used as it is, various errors are included, and an accurate offset value correction calculation of the ΔT data cannot be realized. Therefore, the offset value is calculated based on the mode value ΔTm. The offset calculation unit 308 calculates an approximate expression for calculating the offset value To from the mode value ΔTm. At that time, the coefficient of each term is referred to from the offset calculation coefficient 309 stored in the non-volatile storage 204. For example, the following approximate expression.
Offset value To ≒ aΔTm ³ + bΔTm ² + cΔTm + d

In the above equation, the coefficients a, b, c and d are determined based on, for example, the following factors.
<1> Environmental temperature (day and night, weather, season)
The ambient temperature causes a change in the amount of infrared energy propagated from the refractory to the infrared camera.
<2> Number of times refractory used (number of times molten metal is charged)
The number of times the refractory is used affects the heat transfer rate at which the high-temperature heat energy generated from the molten metal stored in the inner pot inside the refractory propagates to the iron skin of the outer shell of the refractory.

In the control computer 109 according to the first embodiment of the present invention, the abnormality determination is performed by comparing the temperature data constituting the thermal image data with the offset-corrected temperature data determination threshold value.
Second down calculation unit 311, the temperature data determination threshold 310 stored in the nonvolatile storage 204, subtracts the offset value To, and outputs the offset-corrected temperature data determination threshold Tto.
The first comparison unit 312 compares the temperature data constituting the thermal image data T502 stored in the first frame buffer 303 with the offset-corrected temperature data determination threshold value Tto. The temperature data that exceeds the offset-corrected temperature data determination threshold Tto is the abnormal temperature data, and the coordinates where the abnormal temperature data exists represent the abnormal location.

The refractory ladle 103 and torpedo wagon are in a cold state at the initial stage of use. When molten metal is added to a refractory in a cold state, the temperature of the refractory rises. Since the refractory is carried from the first point of filling the molten metal to the second point of supplying the molten metal, the temperature of the refractory continues to rise during that time. The refractory from which the molten metal is discharged at the second point is cooled during the transportation process when returning to the first point, but the temperature remains uncooled until the state before the molten metal is supplied. The molten metal is refilled at one point. That is, the temperature of the refractory increases with repeated use.

Prior to the inventor's idea of the present invention, the fireproof abnormality determination system was to compare the temperature data constituting the thermal image data T502 stored in the first frame buffer 303 with the static temperature data determination threshold 310. Anomaly was judged.
However, as mentioned above, the overall temperature of refractories fluctuates depending on the usage conditions. This appears as a temperature offset value and is superimposed on the thermal image data. The offset calculation unit 308 calculates this offset value.
By applying offset correction to the temperature data determination threshold 310, it is possible to obtain a dynamically adjusted offset-corrected temperature data determination threshold Tto, and it is possible to perform abnormality determination that offsets the overall temperature fluctuation of the refractory. Become.

The mode value in the mode calculation unit 307 is used as the basis for calculating the offset value in the offset calculation unit 308. This value is significant to exclude the temperature difference data of the abnormal part. Therefore, it is not preferable to use the average value instead of the mode calculation because the temperature difference data of the abnormal part is included.

Figure 5 is a schematic diagram for explaining the calculation process of the first down calculation unit 305. The elliptical image drawn in the schematic diagram indicates a torpedo wagon.
The ΔT data D503 is obtained by subtracting the current thermal image data T502 stored in the first frame buffer 303 from the reference thermal image data T501 previously stored in the non-volatile storage 204. This calculation calculates the ΔT data D503, which is an aggregate of temperature difference data, by subtracting the temperature data of the corresponding coordinates from each of the temperature data constituting the thermal image data.

The function of the control computer 109 described with reference to FIG. 3 also represents a data processing procedure. That is, the control computer 109
Subtracting the temperature data of the corresponding coordinates of the current thermal image data consisting of the current temperature data of the fireproof object from the reference thermal image data consisting of the temperature data obtained by photographing the temperature in the initial state of the fireproof object. in, and calculates the ΔT data is a set of temperature difference data, the first decrease calculation step (first decrease calculation unit 305),
The mode calculation step (mode calculation unit 307) for calculating the mode of the ΔT data, and
An offset calculation step (offset calculation unit 308) for calculating an offset value based on the mode, and
And, in addition
From preset temperature data determination threshold, the by subtracting the offset value, the offset corrected temperature data second down calculation step of outputting the determination threshold (second decrease calculation unit 311) and the current thermal image data and the offset A method for determining a fireproof abnormality is realized, which includes a first comparison step (first comparison unit 312) for comparing with the corrected temperature data determination threshold.

[Second embodiment: control computer 109: software function]
As an embodiment different from the first embodiment, it is also possible to take a form in which the offset-corrected temperature data constituting the offset-corrected thermal image data and the temperature data determination threshold value are compared.
FIG. 6 is a block diagram showing a software function of the control computer 109 according to the second embodiment of the present invention. In the following description of the embodiments including FIG. 6, the same functional blocks are designated by the same reference numerals.
It is the same as the first embodiment shown in FIG. 3 until the offset value To is calculated from the thermal image data output from the infrared camera 301.

The third addition unit 601 adds the offset value To to the temperature data constituting the thermal image data T502 stored in the first frame buffer 303, and outputs the offset-corrected temperature data. The offset-corrected temperature data constitutes the offset-corrected thermal image data T701 (see FIG. 7).
The second comparison unit 602 compares the offset-corrected temperature data constituting the offset-corrected thermal image data T701 with the temperature data determination threshold 310 stored in the non-volatile storage 204. The temperature data exceeding the temperature data determination threshold 310 is the abnormal temperature data, and the coordinates where the abnormal temperature data exists represent the abnormal location.
By applying offset correction to the temperature data, it is possible to obtain dynamically adjusted offset-corrected temperature data, and it is possible to perform anomaly determination that offsets the overall temperature fluctuation of the refractory.

FIG. 7 is a schematic diagram illustrating the arithmetic processing of the third addition unit 601.
When the offset value To, which is a single scalar value, is added to each temperature data constituting the thermal image data T502 stored in the first frame buffer 303, the offset-corrected heat composed of the offset-corrected temperature data is added. Image data T701 is obtained.

The function of the control computer 109 described with reference to FIG. 6 also represents a data processing procedure. That is, the control computer 109
By subtracting the temperature data of the corresponding coordinates of the current thermal image data consisting of the temperature data of the current temperature of the fireproof object from the reference thermal image data consisting of the temperature data of the temperature in the reference state of the fireproof object. calculates the ΔT data is a set of temperature difference data, the first decrease calculation step (first decrease calculation unit 305),
The mode calculation step (mode calculation unit 307) for calculating the mode of ΔT data, and
An offset calculation step (offset calculation unit 308) that calculates an offset value based on the mode,
And, in addition
The third addition step (third addition unit 601) for outputting the offset-corrected current thermal image data by adding the offset value to the temperature data constituting the current thermal image data and the offset-corrected current thermal image data. A method for determining a fire-resistant abnormality is realized, which includes a second comparison step (second comparison unit 602) for comparing image data with a preset temperature data determination threshold.

In the control computer 109 according to the second embodiment of the present invention, the abnormality determination is performed by comparing the corrected temperature data constituting the offset-corrected thermal image data with the temperature data determination threshold value.
The third addition unit 601 adds the offset value To to the thermal image data T502 stored in the first frame buffer 303, and outputs the offset-corrected thermal image data T701.
The second comparison unit 602 compares the offset-corrected temperature data constituting the offset-corrected thermal image data T701 with the temperature data determination threshold value 310. The temperature data exceeding the temperature data determination threshold 310 is the abnormal temperature data, and the coordinates where the abnormal temperature data exists represent the abnormal location.

[Third embodiment: control computer 109: software function]
Further, as an embodiment different from the first and second embodiments, it is possible to take a form in which the temperature difference data constituting the ΔT data and the offset-corrected temperature difference data determination threshold value are compared.
FIG. 8 is a block diagram showing a software function of the control computer 109 according to the third embodiment of the present invention.
It is the same as the first embodiment shown in FIG. 3 until the offset value To is calculated from the thermal image data output from the infrared camera 301.

The fourth addition unit 801 adds the offset value To to the temperature difference data determination threshold value 802 stored in the non-volatile storage 204, and outputs the offset-corrected temperature difference data determination threshold value Tdo.
The third comparison unit 803 compares the temperature difference data constituting the ΔT data D503 stored in the second frame buffer with the offset-corrected temperature difference data determination threshold value Tdo. Offset-corrected temperature difference data The temperature difference data that exceeds the judgment threshold Tdo is the abnormal temperature difference data, and the coordinates where the abnormal temperature difference data exists represent the abnormal location.
By applying offset correction to the temperature difference data judgment threshold value 802, it is possible to obtain a dynamically adjusted offset-corrected temperature difference data judgment threshold value Tdo, and it is possible to perform an abnormality judgment that offsets the overall temperature fluctuation of the refractory. It will be possible.

The function of the control computer 109 described with reference to FIG. 8 also represents a data processing procedure. That is, the control computer 109
By subtracting the temperature data of the corresponding coordinates of the current thermal image data consisting of the temperature data of the current temperature of the fireproof object from the reference thermal image data consisting of the temperature data of the temperature in the reference state of the fireproof object. calculates the ΔT data is a set of temperature difference data, the first decrease calculation step (first decrease calculation unit 305),
The mode calculation step (mode calculation unit 307) for calculating the mode of ΔT data, and
An offset calculation step (offset calculation unit 308) that calculates an offset value based on the mode,
And, in addition
The fourth addition step (fourth addition unit 801) that outputs the offset-corrected temperature difference data determination threshold value by adding the offset value to the preset temperature difference data determination threshold value, the ΔT data, and the offset-corrected A method for determining a fireproof abnormality is realized, which includes a third comparison step (third comparison unit 803) for comparing with the temperature difference data determination threshold value.

In the control computer 109 according to the third embodiment of the present invention, the abnormality determination is performed by comparing the temperature difference data constituting the ΔT data with the offset-corrected temperature difference data determination threshold value.
The fourth addition unit 801 subtracts the offset value To from the temperature difference data determination threshold value 802, and outputs the offset-corrected temperature difference data determination threshold value Tdo.
The third comparison unit 803 compares the temperature difference data constituting the ΔT data with the offset-corrected temperature difference data determination threshold value Tdo. Offset-corrected temperature difference data The temperature difference data that exceeds the judgment threshold Tdo is the abnormal temperature difference data, and the coordinates where the abnormal temperature difference data exists represent the abnormal location.

[Fourth Embodiment: Control computer 109: Software function]
Further, as an embodiment different from the first, second and third embodiments, it is possible to take a form in which the offset-corrected temperature difference data constituting the offset-corrected ΔT data and the temperature difference data determination threshold value are compared. ..
FIG. 9 is a block diagram showing a software function of the control computer 109 according to the fourth embodiment of the present invention.
It is the same as FIG. 3 until the offset value To is calculated from the thermal image data output from the infrared camera 301.

Fifth decrease calculation unit 901 from the temperature difference data which constitutes the ΔT data D503 stored in the second frame buffer 306, by subtracting the offset value To, and outputs the offset-corrected temperature difference data. The offset-corrected temperature difference data constitutes the offset-corrected ΔT data D1001.
The fourth comparison unit 902 compares the offset-corrected temperature difference data constituting the offset-corrected ΔT data D1001 (see FIG. 10) with the temperature difference data determination threshold value Td stored in the non-volatile storage 204. The temperature difference data exceeding the temperature difference data determination threshold value 802 is the abnormal temperature difference data, and the coordinates where the abnormal temperature difference data exists represent the abnormal location.

Figure 10 is a schematic diagram for explaining the calculation process of the fifth decrease calculation unit 901.
When the offset value To, which is a single scalar value, is subtracted from each temperature data constituting the Δ data D503 stored in the second frame buffer 306, the offset corrected ΔT composed of the offset corrected temperature difference data is obtained. Data D1001 is obtained.

The function of the control computer 109 described with reference to FIG. 9 also represents a data processing procedure. That is, the control computer 109
Subtracting the temperature data of the corresponding coordinates of the current thermal image data consisting of the current temperature data of the fireproof object from the reference thermal image data consisting of the temperature data obtained by photographing the temperature in the initial state of the fireproof object. in, and calculates the ΔT data is a set of temperature difference data, the first decrease calculation step (first decrease calculation unit 305),
The mode calculation step (mode calculation unit 307) for calculating the mode of the ΔT data, and
An offset calculation step (offset calculation unit 308) for calculating an offset value based on the mode, and
And, in addition
To said temperature difference data constituting the ΔT data, by subtracting the offset value, and fifth down calculation step of outputting an offset-corrected ΔT data (fifth decrease calculation unit 901),
A refractory abnormality determination method including a fourth comparison step (fourth comparison unit 902) for comparing the offset-corrected ΔT data with a preset temperature difference data determination threshold value is realized.

In the control computer 109 according to the fourth embodiment of the present invention, the abnormality determination is performed by comparing the offset-corrected temperature difference data constituting the offset-corrected ΔT data with the temperature difference data determination threshold value.
Fifth decrease calculation unit 901 subtracts the offset value To from ΔT data, and outputs the offset-corrected ΔT data.
The fourth comparison unit 902 compares the offset-corrected temperature difference data constituting the offset-corrected ΔT data with the temperature difference data determination threshold value 802. The offset-corrected temperature difference data exceeding the temperature difference data determination threshold value 802 is the abnormal offset-corrected temperature difference data, and the coordinates where the abnormal offset-corrected temperature difference data exists represent the abnormal location.

In the embodiment of the present invention, the refractory abnormality determination system 101 is disclosed.
Subtracting the current thermal image data from the reference thermal image data gives ΔT data. The mode value ΔTm of the temperature difference data constituting the ΔT data is calculated, and the offset value To is calculated based on the mode value ΔTm.
By performing the correction using the offset value To, it is possible to determine the abnormal temperature in consideration of the temperature fluctuation of the entire refractory that occurs depending on the usage status of the refractory. That is, it is not necessary to set dynamic conditions from the outside, and it is possible to determine the deterioration of the refractory regardless of the usage status of the refractory.

Although the embodiments of the present invention have been described above, the present invention is not limited to the above embodiments, and other modifications and applications are provided as long as they do not deviate from the gist of the present invention described in the claims. including.

101 ... Fireproof abnormality judgment system, 102 ... Rail, 103 ... Pot, 104 ... First camera, 105 ... Second camera, 106 ... Third camera, 107 ... Fourth camera, 108 ... LAN, 109 ... Control computer, 201 ... CPU, 202 ... ROM, 203 ... RAM, 204 ... Non-volatile storage, 205 ... Display unit, 206 ... Operation unit, 207 ... Bus, 208 ... NIC, 301 ... Infrared camera, 302 ... Coordinate fine adjustment processing unit, 303 ... first frame buffer, 304 ... reference thermal image data, 305 ... first down calculation unit, 306 ... second frame buffer, 307 ... mode value calculation unit, 308 ... offset calculation section, 309 ... offset calculation coefficient, 310 ... temperature data determination threshold, 311 ... second decrease calculation unit, 312 ... first comparison unit, 601 ... third addition unit, 602 ... second comparison unit, 801 ... fourth addition unit, 802 ... temperature difference data determination threshold, 803 ... third comparator unit, 901 ... fifth decrease calculation unit, 902 ... fourth comparator unit

Claims (2)

Subtracting the temperature data of the corresponding coordinates of the current thermal image data consisting of the current temperature data of the fireproof object from the reference thermal image data consisting of the temperature data obtained by photographing the temperature in the reference state of the fireproof object. in, and calculates the ΔT data is a set of temperature difference data, and the first down calculation unit,
The mode calculation unit that calculates the mode of the ΔT data, and
An offset calculation unit that calculates an offset value of a preset temperature data determination threshold value based on the mode value, and an offset calculation unit.
A second subtraction unit that outputs an offset-corrected temperature data determination threshold value by subtracting the offset value from the temperature data determination threshold value.
A refractory abnormality determination system including a first comparison unit that compares the current thermal image data with the offset-corrected temperature data determination threshold value. Subtracting the temperature data of the corresponding coordinates of the current thermal image data consisting of the current temperature data of the fireproof object from the reference thermal image data consisting of the temperature data obtained by photographing the temperature in the initial state of the fireproof object. in, and calculates the ΔT data is a set of temperature difference data, and the first down calculation step,
The mode calculation step for calculating the mode of the ΔT data and
An offset calculation step for calculating an offset value of a preset temperature data determination threshold value based on the mode value, and
A second subtraction step that outputs an offset-corrected temperature data determination threshold value by subtracting the offset value from the temperature data determination threshold value.
A refractory abnormality determination method comprising a first comparison step of comparing the current thermal image data with the offset-corrected temperature data determination threshold value.

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