Generating apparatus, generating system, processing system, generating method, and storage medium

Abstract

Provided are a generation device, a generation system, a processing system, a generation method, and a storage medium, which can generate a temperature profile in a conveyed object. The generation device of an embodiment acquires a plurality of images representing a temperature distribution of a conveyed object generated by a thermal camera. The generation device also sets a plurality of measurement regions for each of the images in a conveying direction of the conveyed object. The generation device also generates time series data representing a change in temperature with respect to time in each of the measurement regions. The generation device also generates a temperature profile representing a change in temperature of the conveyed object with respect to time using a temperature of a portion extracted from each of the time series data.

Description

Technical Field

[0001] The embodiments of the present invention generally relate to a generating apparatus, a generating system, a processing system, a generating method, and a storage medium. Background Technology

[0002] In production, workpieces may be heat-treated for purposes such as melting, bonding, and thermal activation. During this heat treatment, the workpiece is sometimes conveyed. For such conveying, the ability to obtain temperature profiles is also required. Summary of the Invention

[0003] Embodiments of the present invention provide a generating apparatus, a generating system, a processing system, a generating method, and a storage medium capable of generating a temperature profile of a transported object.

[0004] According to an embodiment of the present invention, the generating apparatus acquires multiple images generated by a thermal camera, representing the temperature distribution of a transported object. The generating apparatus also defines multiple measurement regions for each of the images along the transport direction of the transported object. The generating apparatus further generates time-series data representing the temperature change with time in each of the measurement regions. The generating apparatus also uses a portion of the temperature extracted from each of the time-series data to generate a temperature curve representing the temperature change of the transported object with time.

[0005] According to the implementation method, a temperature profile of the transported material can be generated. Attached Figure Description

[0006] Figure 1 This is a schematic diagram illustrating the generation system of the implementation method.

[0007] Figure 2 This is a flowchart illustrating the generation method of the implementation method.

[0008] Figure 3 This is an example of a thermal image obtained by a thermal camera.

[0009] Figure 4 This is an image representing a setting example of the measurement line.

[0010] Figure 5 (a)~ Figure 5 (c) is a graph showing an example of the temperature distribution on the measurement line.

[0011] Figure 6 This is an image representing a setting example of the measurement area.

[0012] Figure 7 It is a chart illustrating the temperature distribution in the measurement area.

[0013] Figure 8 (a)~ Figure 8 (c) is a graph representing an example of time series data of temperature in the measurement area.

[0014] Figure 9 This is a graph illustrating a temperature curve.

[0015] Figure 10 This is a diagram illustrating the correspondence between the parts assigned identifiers and the thermal images.

[0016] Figure 11 This is a flowchart illustrating a method for generating a modified example of the implementation method.

[0017] Figure 12 This is an example of the output of the generation device in the implementation method.

[0018] Figure 13 This is a schematic diagram illustrating the processing system of the implementation method.

[0019] Figure 14 This is a schematic diagram showing the hardware configuration. Detailed Implementation

[0020] Hereinafter, various embodiments of the present invention will be described with reference to the accompanying drawings. In the specification and drawings of this application, elements that are the same as those already described are labeled with the same reference numerals, and detailed descriptions are omitted where appropriate.

[0021] Figure 1 This is a schematic diagram illustrating the generation system of the implementation method.

[0022] The generation system of this implementation is used to generate a temperature profile for a conveyed material transported along a specific direction. For example... Figure 1 As shown, the generation system 10 includes a generation device 11, a thermal camera 12, a detector 13, a storage device 14, an input device 15, and an output device 16.

[0023] A thermal camera 12 detects the surface temperature of the transported object and its surroundings, acquiring an image representing the temperature distribution (thermal image). A generating device 11 uses the image to generate a temperature profile of the transported object. A detector 13 detects the approach of the transported object. A storage device 14 appropriately stores the image acquired by the thermal camera 12, data used in the processing of the generating device 11, and data obtained through the processing of the generating device 11. An input device 15 allows the user to input data into the generating device 11. An output device 16 outputs data to the user.

[0024] Figure 2 This is a flowchart illustrating the generation method of the implementation method.

[0025] Figure 2The method M1 for generating the temperature curve shown includes steps S1 to S13. First, detector 13 detects the approach of the transported object to a specific location (step S1). For example, detector 13 detects the approach of the transported object to the detection range of thermal camera 12. Detector 13 includes one or more selected from proximity sensors, range sensors, transmission sensors, and pressure sensors.

[0026] Figure 3 This is an example of a thermal image obtained by a thermal camera.

[0027] exist Figure 3 In this example, a workpiece 50 with multiple pipes 52 attached to a component 51 is photographed as a transport object. The component 51 is, for example, rectangular and can be used as a frame. The thermal camera 12 begins temperature detection based on the detection of the transport object by the detector 13 (step S2). For example, the thermal camera 12 includes multiple infrared sensors. The thermal camera 12, as... Figure 3 As shown, an image IM representing the temperature detection result is generated. The thermal camera 12 is fixed at a specific position and repeatedly performs temperature detection and image generation. In the continuously generated images, the conveyed object moves in the conveying direction. The thermal camera 12 saves the generated images to the storage device 14. Alternatively, the thermal camera 12 can also send the images directly to the generation device 11.

[0028] The generating device 11 acquires multiple images generated by the thermal camera 12. The generating device 11 calculates the transport direction of the transported object based on the multiple images (step S3). For example, the generating device 11 extracts feature points from each image. The generating device 11 establishes correspondences between the feature points extracted from each image. The movement directions of the corresponding feature points correspond to the transport direction. Alternatively, the transport direction can be input by the user.

[0029] Furthermore, the generating device 11 can also calculate the amount of movement of the conveyed object based on multiple images that are consecutive in time. The generating device 11 calculates the distance between the extracted feature points as the amount of movement of the conveyed object during the temperature detection interval. The calculated amount of movement is used for setting the measurement area as described later.

[0030] Figure 4 This is an image representing a setting example of the measurement line.

[0031] The generating device 11 selects any image. The generating device 11 sets measurement lines for the selected image (step S4). For example... Figure 4As shown, multiple measurement lines L1 to L3 are set in an orthogonal direction D2, which is orthogonal to the conveying direction D1. Measurement lines L1 to L3 are set along the conveying direction D1. The number of measurement lines, the spacing between the measurement lines, and the length of each measurement line are preset by the user. The number and length of the measurement lines can also be automatically set by the generating device 11 based on the detection range of the thermal camera 12, the size of the conveyed object, etc.

[0032] Figure 5 (a)~ Figure 5 (c) is a graph showing an example of the temperature distribution on the measurement line.

[0033] The generating device 11 obtains the temperature distribution on each measuring line (step S5). Figure 5 (a)~ Figure 5 (c) shows the temperature distribution along measurement lines L1 to L3. Figure 5 (a)~ Figure 5 In (c), the horizontal axis represents the position P on the measurement line, and the vertical axis represents the temperature T. The generating device 11 selects a measurement line from multiple measurement lines that satisfies the pre-set conditions for a temperature distribution (step S6).

[0034] The conditions are set based on the relationship between the temperature of the point to be monitored and its surrounding temperature. For example, if the temperature of the point to be monitored is higher than its surrounding temperature, the conditions are set to the occurrence of a temperature exceeding a threshold, the occurrence of a positive temperature peak, or the occurrence of a positive temperature gradient above the threshold. If the temperature of the point to be monitored is lower than its surrounding temperature, the conditions are set to the occurrence of a temperature below a threshold, the occurrence of a negative temperature peak, or the occurrence of a negative temperature gradient above the threshold.

[0035] In this example, the recurrence of a positive peak value is set as a condition. The generating device 11 selects measurement line L3 from measurement lines L1 to L3 where a positive peak value p recurrs in the temperature distribution.

[0036] The conditions may also include comparisons between temperature distributions. For example, if the temperature at the point to be monitored is higher than its surroundings, the temperature distribution with the highest highest temperature among multiple temperature distributions that have exceeded a threshold or have a positive temperature peak is selected. If the temperature at the point to be monitored is lower than its surroundings, the temperature distribution with the lowest lowest temperature among multiple temperature distributions that have exceeded a threshold or have a negative temperature peak is selected.

[0037] Figure 6 This is an image illustrating a setting example of the measurement area.

[0038] like Figure 6As shown, the generating device 11 sets multiple measurement regions A1 to A8 along the selected measurement line (step S7). The multiple measurement regions A1 to A8 are set separately from each other. Preferably, each measurement region contains multiple pixels in both the transport direction D1 and the orthogonal direction D2. This prevents the points where the desired temperature curve is to be generated from deviating from the measurement region. The number of measurement regions, the size of the measurement regions, and the spacing between the measurement regions can be preset by the user or automatically set by the generating device 11.

[0039] The size of the measurement area can also be set based on the amount of movement of the conveyed object. If the size of the measurement area is smaller than the amount of movement, the points where a temperature curve is desired to be generated may pass through the measurement area during the temperature detection interval of the thermal camera 12. Therefore, it is preferable to set the length of the measurement area in the conveying direction to be larger than the amount of movement of the conveyed object.

[0040] For example, the generating device 11 extracts the portion of the temperature distribution on the selected measurement line that satisfies set conditions related to the measurement area. These set conditions include conditions such as the temperature exceeding or falling below a threshold, the presence of a positive or negative temperature peak, and a positive or negative temperature gradient above a threshold. The generating device 11 defines the measurement area for the portion that satisfies these set conditions. Figure 5 (c) and Figure 6 In the example, a positive peak value is a set condition, and measurement areas A1 to A8 are set in the parts where a positive peak value p appears.

[0041] The generating device 11 saves the position of each measurement area to the storage device 14. Then, when obtaining temperature profiles for the same type of transport material, the data related to the saved measurement areas is used.

[0042] Figure 7 It is a chart illustrating the temperature distribution in the measurement area.

[0043] The generating device 11 acquires the temperature of the set measurement area in each image (step S8). The temperature is determined based on the temperature of each point within the measurement area. The generating device 11 acquires... Figure 7 The temperature distribution shown is as depicted. Figure 7 In the diagram, the horizontal axis represents temperature T, and the vertical axis represents the number of times each temperature is measured, C. The number of times C is measured corresponds to the number of points (pixels) that measure that temperature. For example, the generating device 11 determines the temperature of the measurement area as the temperature that is measured the most times. The generating device 11 may also determine the temperature of the measurement area as the average, maximum, minimum, or median value of the temperature distribution.

[0044] Figure 8 (a)~ Figure 8(c) is a graph representing an example of time series data of temperature in the measurement area.

[0045] The generating device 11 arranges the acquired temperatures in chronological order according to each measurement area to generate time series data of temperature (step S9). Figure 8 (a)~ Figure 8 (c) shows Figure 6 The image shows time-series temperature data for a portion of the measurement areas A1–A3. Figure 8 (a)~ Figure 8 In (c), the horizontal axis represents time t, and the vertical axis represents temperature T.

[0046] The generating device 11 extracts portions that meet preset conditions from each time series data as features (step S10). The generating device 11 assigns an identifier to each feature (step S11). The identifier is determined based on the order in which the features appear in a time series data. Therefore, features with the same order of appearance are assigned the same identifier to each other in the time series data.

[0047] As a concrete example, in time series data, positive peak values ​​are extracted as feature units. For example... Figure 8 As shown in (a), the generating device 11 extracts multiple feature parts F and assigns identifiers ID1 to ID8 to each feature part F. Figure 8 (b) and Figure 8 The time series data shown in (c) is also generated by the generator 11 assigning identifiers to each feature F.

[0048] Figure 9 This is a graph illustrating a temperature curve.

[0049] The generating device 11 arranges the temperatures of features assigned the same identifier in chronological order. The temperature of the feature is, for example, the temperature of the peak. Figure 9 As shown, a temperature curve is generated (step S12). In Figure 9 In the diagram, the horizontal axis represents time t, and the vertical axis represents temperature T. The temperature curve represents the temperature change relative to time at a specific point on the conveyed material. The generating device 11 outputs the generated temperature curve (step S13). Furthermore, the generating device 11 saves the temperature curve to the storage device 14.

[0050] Figure 10 This is a diagram illustrating the correspondence between identifiers and thermal images.

[0051] In the example above, the time series data obtained from multiple measurement areas A1 to A8 on measurement line L3 were assigned identifiers ID1 to ID8. The portions assigned identifiers correspond to the points where the temperature curve is desired. If the portions assigned identifiers ID1 to ID8 are represented on a thermal image, then as follows... Figure 10 As shown. In this example, identifiers ID1 to ID8 are assigned to each joint between component 51 and each pipe 52. This generates temperature profiles for each joint.

[0052] The advantages of the implementation method will be explained.

[0053] In production, heat treatment is performed for tasks such as melting, bonding, and thermal activation of workpieces. Regarding this heat treatment, there are instances where the temperature profile during the heat treatment affects the quality of the workpiece. Conventionally, for quality management, temperature profiles at specific points during heat treatment are obtained. Furthermore, the thermal camera 12 can measure the surface temperature of the workpiece with high precision in a non-contact manner. Therefore, it is suitable for obtaining temperature profiles. For example, by setting a fixed measurement area in the image acquired by the thermal camera 12 and arranging the temperatures within that measurement area in chronological order, temperature profiles can be obtained.

[0054] On the other hand, when the workpiece moves relative to the thermal camera 12, it is difficult to obtain the temperature profile at a specific point on the workpiece. It is desirable to obtain the temperature profile at a specific point even under these conditions for quality management.

[0055] Regarding this issue, the generation apparatus 11 in this embodiment sets multiple measurement areas along the transport direction of the conveyor based on the image acquired by the thermal camera 12. Then, the generation apparatus 11 generates time-series data representing the temperature change with time in each measurement area. The generation apparatus 11 uses a portion of the temperature extracted from each time-series data to generate a temperature profile of the conveyor. According to this embodiment, even when conveying a workpiece, it is possible to generate the temperature profile of the conveyor.

[0056] To reduce the computational load on the generation device 11, it is preferable to include a detector 13, but the detector 13 can also be omitted. In this case, step S1 is omitted. Regardless of whether the transported object is close to the detection range of the thermal camera 12, the thermal camera 12 repeatedly acquires images. In this case, time-series data is also generated based on the temperature of each measurement area in each image. Temperature curves are generated by extracting the temperature of the feature regions contained in these time-series data.

[0057] <Variation Example>

[0058] Figure 11 This is a flowchart illustrating a method for generating a modified example of the implementation method.

[0059] The generating device 11 can also use the generated temperature curve to determine the quality of the conveyed material. Figure 11 In the generation method M2 shown, with Figure 2 The same as step S2 is shown, detecting the temperature of the conveyed object (step S21). By executing steps S3 to S11, the temperature of the feature portion is extracted from the time series temperature data (step S22). By executing steps S12 and S13, a temperature curve is generated (step S23).

[0060] If a temperature curve is generated, the generating device 11 refers to a predetermined curve (step S24). The predetermined curve is a temperature curve related to the conveyed object prepared in advance by the user and stored in the storage device 14. For example, the temperature curve at a specific point of the conveyed object obtained when the quality is good is stored as a predetermined curve. The generating device 11 compares the generated temperature curve with the predetermined curve and determines the quality of the conveyed object from which the temperature curve is obtained (step S25). The generating device 11 outputs the temperature curve and the determination result (step S26).

[0061] For example, the generating device 11 calculates the temperature difference in each measurement region between the generated temperature curve and a predetermined curve. A threshold is preset for the sum, mean square error, or average value of the calculated multiple temperature differences. The quality of the transported material is determined by comparing the sum, mean square error, or average value of the multiple temperature differences with the threshold.

[0062] The generating device 11 can also compare image data representing the generated temperature curve with image data representing a predetermined curve. For example, the generating device 11 calculates the distance between the two image data. A threshold is preset for the distance. Based on the comparison result between the distance and the threshold, the quality of the transported item is determined.

[0063] In the methods described above, multiple thresholds can also be set. The generating device 11 sorts the quality of the conveyed items based on comparisons with multiple thresholds.

[0064] Alternatively, the generation device 11 can determine the quality of the transported goods by inputting the generated temperature curve into a pre-prepared model or classifier. The model, for example, includes a neural network. Supervised or unsupervised learning is performed beforehand on the model. The classifier, for example, uses a classifier learned through a random forest or a Bayesian classifier. The model and classifier output a quality judgment based on the input temperature curve. When using a model or classifier, the reference to a predetermined curve by the generation device 11 is omitted.

[0065] Figure 12 This is an example of the output of the generation device in the implementation method.

[0066] For example, output device 16 is a monitor. Figure 12 As shown, the generating device 11 displays a user interface (UI) 100. The UI 100 displays the generated temperature curve 101 and the judgment result 102. To improve user convenience, the UI 100 can also further display the image 110 generated by the thermal camera 12, the temperature distributions 111-113 on each measurement line, the time series data 121-123 in each measurement area, and the predetermined curve 130.

[0067] Figure 13 This is a schematic diagram illustrating the processing system of the implementation method.

[0068] like Figure 13 As shown, the processing system 1 of this embodiment includes a generation system 10 and a processing device 20. The processing device 20 includes a heating unit 21 and a conveying unit 22. In this example, a thermal camera 12 and a detector 13 are integrated into the processing device 20.

[0069] The heating unit 21 heats the workpiece. The specific structure of the heating unit 21 is arbitrary, as long as it can heat the workpiece. For example, the heating unit 21 includes a burner that heats the workpiece using a flame, a lamp or laser source that heats the workpiece using light, or electrodes that heat the workpiece using an electric current.

[0070] The conveying unit 22 transports the workpieces to be heated. For example, the conveying unit 22 transports multiple workpieces sequentially in a specific direction at a certain speed. The conveying unit 22 includes a belt conveyor or a roller conveyor, etc. The heating unit 21 heats the workpieces being transported by the conveying unit 22.

[0071] Detector 13 detects the approach of the conveyed object (workpiece) to the detection range of thermal camera 12. Thermal camera 12 detects the temperature of the workpiece conveyed by conveyor 22.

[0072] According to the processing system 1, a temperature profile of the workpiece that is heated while being conveyed by the processing device 20 can be generated.

[0073] Figure 14 This is a schematic diagram showing the hardware configuration.

[0074] The generating device 11 includes, for example, a Figure 14 The computer 90 shown is configured as follows. The computer 90 includes a CPU 91, ROM 92, RAM 93, storage device 94, input interface 95, output interface 96, and communication interface 97.

[0075] ROM 92 stores programs that control the operation of computer 90. ROM 92 contains the programs necessary for computer 90 to perform the aforementioned processes. RAM 93 functions as a storage area for expanding the programs stored in ROM 92.

[0076] CPU 91 includes processing circuitry. CPU 91 uses RAM 93 as its working memory and executes programs stored in either ROM 92 or storage device 94. During program execution, CPU 91 controls various components via system bus 98 to perform various processes.

[0077] Storage device 94 stores the data required for executing the program and the data obtained by executing the program.

[0078] The input interface (I / F) 95 connects the computer 90 to the input device 95a. The input I / F 95 is, for example, a serial bus interface such as USB. The CPU 91 can read various data from the input device 95a via the input I / F 95.

[0079] Output interface (I / F) 96 connects computer 90 to output device 96a. Output I / F 96 is, for example, a video output interface such as Digital Video Interface (DVI) or High Definition Multimedia Interface (HDMI). CPU 91 can send data to output device 96a via output I / F 96 and cause output device 96a to display images.

[0080] The communication interface (I / F) 97 connects the external server 97a to the computer 90. The communication I / F 97 is, for example, a network card such as a LAN card. The CPU 91 can read various data from the server 97a via the communication I / F 97.

[0081] Storage device 94 includes one or more selected from hard disk drives (HDDs) and solid-state drives (SSDs). Input device 95a includes one or more selected from a mouse, keyboard, microphone (voice input), and touchpad. Output device 96a includes one or more selected from a monitor, projector, speaker, and printer. Devices such as touchpads that combine the functions of both input device 95a and output device 96a can also be used. Storage device 94, input device 95a, and output device 96a can be used as storage device 14, input device 15, and output device 16, respectively.

[0082] The functions of the generating device 11 can also be achieved through the cooperation of multiple computers. The processing of the various data described above can also be recorded as a program that can be executed by a computer on a disk (floppy disk and hard disk, etc.), optical disk (CD-ROM, CD-R, CD-RW, DVD-ROM, DVD±R, DVD±RW, etc.), semiconductor memory, or other non-transitory computer-readable storage medium.

[0083] For example, information recorded on a recording medium can be read by a computer (or embedded system). The recording format (storage format) on the recording medium is arbitrary. For example, a computer reads a program from the recording medium and executes the instructions described in the program using the CPU. In a computer, program retrieval (or reading) can also be performed via a network.

[0084] The generating apparatus, generating method, or processing system described above can generate a temperature profile of the conveyed material. The same effect can be obtained by using a program that executes the generating method on a computer.

[0085] The above examples illustrate several embodiments of the present invention, but these embodiments are provided as examples and are not intended to limit the scope of the invention. These new embodiments can be implemented in various other ways, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their variations are included within the scope and spirit of the invention, and are also included within the scope of the invention as described in the claims and its equivalents. Furthermore, the foregoing embodiments can be combined with each other for implementation.

[0086] The implementation methods may also include the following schemes.

[0087] <Option 1>

[0088] A generating apparatus wherein multiple images representing the temperature distribution of a transported object, generated by a thermal camera, are acquired.

[0089] Multiple measurement areas are set for each of the images along the conveying direction of the conveyed material.

[0090] Time-series data representing temperature changes relative to time are generated in each of the measurement regions.

[0091] Using a portion of the temperature extracted from each of the time series data, a temperature curve representing the change in the temperature of the transported item over time is generated.

[0092] <Option 2>

[0093] According to the generation apparatus of Scheme 1, each of the time series data is compared with a preset condition, and the portion of each of the time series data that satisfies the condition is extracted.

[0094] <Option 3>

[0095] According to the generation apparatus of Scheme 1, positive peak values ​​are extracted from each of the time series data as part of the data.

[0096] <Option 4>

[0097] The generating apparatus according to any one of schemes 1 to 3, wherein, for the image, a plurality of measuring lines are set along the conveying direction.

[0098] Based on the temperature distribution on each of the measurement lines, one of the measurement lines is selected.

[0099] The plurality of measurement areas are set along the measurement line.

[0100] <Option 5>

[0101] According to any one of the embodiments 1 to 4, the generating apparatus compares the generated temperature curve with a pre-prepared curve to determine the quality of the conveyed material.

[0102] <Option 6>

[0103] A generating apparatus wherein multiple images representing the temperature distribution of a transported object, generated by a thermal camera, are acquired.

[0104] A temperature curve representing the temperature change of the transported object over time is generated based on the multiple images.

[0105] The quality of the transported material is determined using the generated temperature curve.

[0106] <Option 7>

[0107] A generation system, wherein:

[0108] The generating apparatus described in any one of claims 1 to 6;

[0109] The thermal camera; and

[0110] An output device that outputs the temperature curve.

[0111] <Option 8>

[0112] A processing system, wherein:

[0113] The generating apparatus as described in any one of claims 1 to 6; and

[0114] A processing device that heats the conveyed material while conveying it.

[0115] The above examples illustrate several embodiments of the present invention, but these embodiments are provided as examples and are not intended to limit the scope of the invention. These new embodiments can be implemented in various other ways, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their variations are included within the scope and spirit of the invention, and are also included within the scope of the invention as described in the claims and its equivalents. Furthermore, the foregoing embodiments can be combined with each other for implementation.

Claims

1. A generating apparatus, characterized in that, Multiple images representing the temperature distribution of the transported object, generated by a thermal camera, are obtained. Multiple measurement areas are set for each of the images along the conveying direction of the conveyed material. Time-series data representing temperature changes relative to time are generated in each of the measurement regions. Using a portion of the temperature extracted from each of the time series data, a temperature curve representing the change in the temperature of the transported item over time is generated.

2. The generating apparatus according to claim 1, characterized in that, Each of the time series data is compared with a pre-set condition, and the portion of the time series data that satisfies the condition is extracted from each of the time series data.

3. The generating apparatus according to claim 1, characterized in that, Positive peak values ​​are extracted from each of the aforementioned time series data as part of the data.

4. The generating apparatus according to any one of claims 1 to 3, characterized in that, For the image, multiple measurement lines are set along the conveying direction. Based on the temperature distribution on each of the measurement lines, one measurement line is selected from the plurality of measurement lines. The plurality of measurement areas are set along the measurement line.

5. The generating apparatus according to any one of claims 1 to 3, characterized in that, The generated temperature curve is compared with a pre-prepared curve to determine the quality of the transported material.

6. A generation system, characterized in that, have: The generating apparatus according to any one of claims 1 to 5; The thermal camera; and An output device that outputs the temperature curve.

7. A processing system, characterized in that, have: The generating apparatus according to any one of claims 1 to 5; and A processing device that heats the conveyed material while conveying it.

8. A generation method, characterized in that, Multiple images representing the temperature distribution of the transported object, generated by a thermal camera, are obtained. Multiple measurement areas are set for each of the images along the conveying direction of the conveyed material. Time-series data representing temperature changes relative to time are generated in each of the measurement regions. Using a portion of the temperature extracted from each of the time series data, a temperature curve representing the change in the temperature of the transported item over time is generated.

9. A storage medium, characterized in that, The system contains a program that causes a computer to execute the generation method of claim 8.

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