Temperature sensor system

Abstract

To increase detection precision of a high-temperature object flowing on a conveyor.SOLUTION: A temperature sensor system includes a temperature sensor that monitors an area on a conveyor and outputs an abnormal temperature detection signal when a measured temperature exceeds a temperature threshold, and further includes a threshold control section for controlling the temperature threshold according to the size, number, or position height of objects flowing on the conveyor, or a movement control section for performing control so as to move one or more objects on the conveyor when the size, number, or position height of the objects exceeds a threshold.SELECTED DRAWING: Figure 14

Description

[Technical field]

[0001] The present invention relates to a temperature sensor system. [Background technology]

[0002] Conventionally, devices for detecting fires on conveyors are known. For example, in the detection device described in Patent Document 1, an optical fiber for detecting temperature is laid on the conveyor, and the temperature distribution on the optical fiber is measured by a temperature measuring instrument. In addition, a temperature sensor for fixed-point measurement is installed on the conveyor, and the detected temperature is measured by the temperature measuring instrument. Then, a fire determination device determines whether the conveyor is stopped, and while the conveyor is stopped, it determines whether a fire has occurred and identifies the location of the fire source from the measurement result of the temperature measuring instrument. On the other hand, while the conveyor is in operation, it determines whether a fire has occurred from the measurement result of the temperature measuring instrument, and if a fire has occurred, it stops the conveyor and identifies the location of the fire source from the measurement result of the temperature measuring instrument. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2004-99264 A Summary of the Invention [Problem to be solved by the invention]

[0004] When detecting a high-temperature object traveling on a conveyor, there is a problem in that it is difficult to detect the high-temperature object if the object is buried under other objects. The present invention has been made in consideration of the above circumstances, and has an object to improve the accuracy of detecting high-temperature objects traveling on a conveyor. [Means for solving the problem]

[0005] In order to solve the above problems, the temperature sensor system of the present invention comprises a temperature sensor that monitors a conveyor and outputs an abnormal temperature detection signal when the measured temperature exceeds a temperature threshold, and further comprises a threshold control unit that controls the temperature threshold in accordance with the size, number or height of objects moving on the conveyor, or a movement control unit that controls one or more of the objects to move on the conveyor when the size, number or height of the objects exceeds a threshold. Effect of the Invention

[0006] According to the present invention, it is possible to improve the accuracy of detecting a high-temperature object traveling on a conveyor. [Brief description of the drawings]

[0007] [Figure 1] FIG. 1 shows an example of a temperature sensor system. [Diagram 2] FIG. 2 shows an example of the installation of the temperature sensor system 100. [Diagram 3] FIG. 3 shows an example of the configuration of the temperature sensor 105. [Figure 4] FIG. 4 shows an example of the configuration of the control PC 104. [Diagram 5] FIG. 5 shows an example of a camera image. [Figure 6] FIG. 6 shows an example of the temperature calculation process. [Figure 7] FIG. 7 shows an example of the abnormal temperature detection process. [Figure 8] FIG. 8 shows an example of the camera head control. [Figure 9] FIG. 9 shows an example of a temperature sensor system. [Figure 10] FIG. 10 shows an example of an installation of the temperature sensor system 900. [Figure 11] FIG. 11 shows an example of the configuration of the control PC 901. [Figure 12] FIG. 12 shows an example of conveyor control. [Figure 13] FIG. 13 shows an example of a temperature sensor system. [Figure 14]FIG. 14 shows an example of an installation of the temperature sensor system 1300. [Figure 15] FIG. 15 shows an example of the configuration of the control PC 1301. [Figure 16] FIG. 16 shows an example of threshold control. [Figure 17] FIG. 17 shows an example of a temperature sensor system. [Figure 18] FIG. 18 shows an example of an installation of a temperature sensor system 1700. [Figure 19] FIG. 19 shows an example of the configuration of the control PC 1701. [Figure 20] FIG. 20 shows an example of movement control. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0008] 1. First Example A first embodiment of the present invention will be described with reference to the drawings.

[0009] 1-1.Configuration FIG. 1 shows an example of a temperature sensor system according to a first embodiment. The temperature sensor system 100 shown in the figure is a system for detecting high-temperature objects flowing on a conveyor. This system is intended for use in, for example, recycling facilities. A high-temperature object to be detected in a recycling facility may be, for example, a lithium-ion battery that has been crushed in a crusher and caught fire.

[0010] The temperature sensor system 100 includes four temperature sensor units 101, an alarm panel 102, four cameras 103, and a control PC 104. Of these, each of the four temperature sensor units 101 includes a temperature sensor 105 and an electric pan head 106 attached to the temperature sensor 105.

[0011] Each temperature sensor unit 101 is communicably connected, by wire or wirelessly, to the alarm panel 102 and the control PC 104. Each camera 103 is communicably connected, by wire or wirelessly, to the control PC 104.

[0012] Next, an example of the installation of this system will be described. 2 shows an example of installation of the temperature sensor system 100. In particular, the figure shows an example of installing a pair of temperature sensor unit 101 and camera 103 on a conveyor 201 in a recycling facility. Here, the conveyor 201 on which the temperature sensor unit 101 and the like are installed is composed of a pulley 202 connected to a drive motor (not shown), and a conveyor belt 203 stretched across the pulley 202.

[0013] The temperature sensor unit 101 is installed so as to be able to monitor the conveyor belt 203. In this embodiment, it is assumed that the temperature sensor unit 101 is installed on the ceiling surface inside a conveyor duct that covers the conveyor belt 203. The height of this conveyor duct (not shown) is such that the temperature sensor unit 101 cannot ensure a sufficient viewing angle. Therefore, in a stationary state, the temperature sensor unit 101 cannot monitor the entire left-right direction of the conveyor belt 203 (in other words, the direction perpendicular to the conveying direction). Therefore, the temperature sensor unit 101 is provided with an electric pan head 106, and monitors the entire left-right direction of the conveyor belt 203 by swinging.

[0014] Next, the camera 103 is installed so as to be able to monitor the top of the conveyor belt 203. The camera 103 is assumed to be installed at a position where it can monitor the entire conveyor belt 203 in the left-right direction. In addition, the camera 103 is installed upstream of the temperature sensor unit 101 . Next, each component of the temperature sensor system 100 will be described.

[0015] 1-1-1.Temperature sensor unit 101 The temperature sensor unit 101 is composed of a temperature sensor 105 and an electric pan head 106. Of these, the temperature sensor 105 is attached to the rotation axis of the electric pan head 106 and can swing in the left-right direction of the conveyor belt 203. The temperature sensor 105 will be particularly described below.

[0016] FIG. 3 shows an example of the configuration of the temperature sensor 105. The temperature sensor 105 is an infrared temperature sensor. This temperature sensor 105 divides the monitoring area into a number of pixels and periodically measures the temperature of each of the divided pixels. If the measured temperature exceeds a threshold value, the sensor outputs an abnormal temperature detection signal.

[0017] The temperature sensor 105 includes a main memory device 301 such as a RAM, an auxiliary memory device 302 such as a flash memory, a processor 303 such as a CPU, an infrared array sensor 304 , and a communication module 305 .

[0018] Among these, main memory device 301 stores various programs, and various functions are realized by processor 303 executing these programs. The realized functions include a temperature calculation unit 311 and an abnormal temperature detection unit 312. Each function will be described below.

[0019] The temperature calculation unit 311 calculates the temperature of each pixel based on the voltage value output from the infrared array sensor 304. Then, the temperature calculation unit 311 stores information on the calculated temperature in the auxiliary storage device 302. The stored temperature information constitutes a temperature log 321.

[0020] The abnormal temperature detection unit 312 detects an abnormal temperature based on the temperature log 321 stored in the auxiliary storage device 302. When the abnormal temperature detection unit 312 detects an abnormal temperature, it outputs an abnormal temperature detection signal to the alarm panel 102.

[0021] Next, the auxiliary storage device 302 will be described. The auxiliary storage device 302 stores a temperature log 321, emissivity information 322, and threshold information 323. Of these, the temperature log 321 is a log of the temperature measured for each pixel of the infrared array sensor 304. The emissivity information 322 is information indicating the emissivity set for each pixel of the infrared array sensor 304 .

[0022] The threshold information 323 includes a temperature threshold, a pixel count threshold, and a frame count threshold. These thresholds are referenced when the temperature sensor 105 detects an abnormal temperature.

[0023] Next, the infrared array sensor 304 will be described. The infrared array sensor 304 is a sensor for measuring the temperature of a two-dimensional area of, for example, 8×8 pixels. This infrared array sensor 304 outputs a voltage value corresponding to the amount of infrared light detected for each of the 8×8 pixels. The output voltage value is periodically acquired by the above-mentioned temperature calculation unit 311, and the temperature of each pixel is calculated based on the acquired voltage value.

[0024] The communication module 305 is a component for communicating with the alarm panel 102 .

[0025] 1-1-2.Alarm board 102 The alarm panel 102 is a device that receives an abnormality detection signal from the temperature sensor 105 and outputs an alarm. The output alarm includes an alarm sound output from a speaker and the illumination of an indicator light that warns of the detection of an abnormal temperature. The alarm panel 102 notifies users of the occurrence of a fire by performing this alarm operation.

[0026] 1-1-3. Camera 103 The camera 103 is a visible light camera. The camera 103 transmits the captured camera image to the control PC 104.

[0027] 1-1-4. Control PC104 The control PC 104 is an information processing device for controlling the orientation of the temperature sensor 105 based on a camera image captured by the camera 103. The control PC 104 is, for example, a notebook PC or a tablet terminal.

[0028] FIG. 4 shows an example of the configuration of the control PC 104. The control PC 104 includes a main memory device 401 such as a RAM, an auxiliary memory device 402 such as a flash memory, a processor 403 such as a CPU, an input device 404 such as a mouse or keyboard, an output device 405 such as a display or speaker, and a communication control unit 406 such as a network card.

[0029] Among these, the main memory device 401 stores various programs. These programs are programs that can be distributed via a non-transitory storage medium or a network such as the Internet. Various functions are realized by the processor 403 executing these programs. The realized functions include an image recording unit 411, an image analysis unit 412, and a camera platform control unit 413. Each function will be described below.

[0030] The image recording unit 411 periodically acquires camera images from each camera 103. Then, the image recording unit 411 records the acquired camera images in the auxiliary storage device 402 in association with the identification information of the output source and the current time.

[0031] The image analysis unit 412 identifies the position of the transported object by sequentially reading and analyzing the camera images recorded by the image recording unit 411. Specifically, the image analysis unit 412 identifies the area where the density of the transported object is the highest. 5 shows an example of a camera image. The image analysis unit 412 identifies the area with the highest density of transported objects among four areas A to D set in the camera image 500 shown in the figure. The four areas A to D correspond to the leftmost, second from the left, third from the left, and rightmost areas of the conveyor belt 203, respectively, when viewed from the downstream side. The number of areas may be changed as appropriate.

[0032] As one example, the image analysis unit 412 identifies the high-density region in the following procedure. (1) The camera image is binarized (in other words, converted into a black and white image). (2) Extract the contours of objects in black and white images. (3) The contours of objects are counted for each of the four regions A to D. (4) Identify the region with the largest number of contours.

[0033] Next, the pan head control unit 413 controls the electric pan head 106 based on the position identified by the image analysis unit 412 so that the transported object is included in the monitoring range of the temperature sensor 105. At that time, the pan head control unit 413 controls the electric pan head 106 so that the temperature sensor 105 faces the area corresponding to the high-density area identified by the image analysis unit 412. For example, when the identified high-density area is area "A", the pan head control unit 413 rotates the temperature sensor 105 leftward as viewed from the downstream side. As another example, when the identified high-density area is area "D", the pan head control unit 413 rotates the temperature sensor 105 rightward as viewed from the downstream side. As a result, the center of the monitoring range of the temperature sensor 105 overlaps with the center of the area on the conveyor 201 corresponding to the high-density area.

[0034] Next, the auxiliary storage device 402 will be described. The auxiliary storage device 402 stores camera image data 421 .

[0035] 1-2.Operation 1-2-1. Temperature calculation process A description will now be given of the temperature calculation process executed by the temperature sensor 105. Fig. 6 shows an example of this temperature calculation process.

[0036] In the temperature calculation process 600 shown in the figure, the temperature calculation unit 311 acquires a voltage value corresponding to the amount of infrared light detected for each pixel from the infrared array sensor 304 (step 601). Next, the temperature calculation unit 311 calculates the temperature for each pixel by substituting the voltage value and emissivity of the pixel and a predetermined correction coefficient into a predetermined formula (step 602). At that time, the temperature calculation unit 311 refers to the emissivity information 322 to specify the emissivity for each pixel.

[0037] Next, the temperature calculation unit 311 stores the calculated temperature of each pixel in association with the measurement date and time in the auxiliary storage device 302 (step 603). The above is a description of the temperature calculation process 600.

[0038] The temperature calculation process 600 described above is executed periodically, and temperature information is accumulated in chronological order in the auxiliary storage device 302. The accumulated temperature information constitutes the temperature log 321.

[0039] 1-2-2. Abnormal temperature detection process We will now explain the abnormal temperature detection process executed by the temperature sensor 105. In the abnormal temperature detection process described here, when a predetermined number or more of pixels exceeding the temperature threshold are detected and this is detected a predetermined number of times or more consecutively, an abnormal temperature detection signal is output.

[0040] FIG. 7 shows an example of the abnormal temperature detection process. In the abnormal temperature detection process 700 shown in the figure, the abnormal temperature detection unit 312 acquires one set of temperature information as a processing target (step 701). At this time, the abnormal temperature detection unit 312 acquires one set of temperature information that has not been acquired and has the oldest measurement date and time from the auxiliary storage device 302. Note that one set of temperature information here refers to one record's worth of temperature information associated with the same measurement date and time.

[0041] Next, the abnormal temperature detection unit 312 identifies one pixel to be processed from the acquired set of temperature information (step 702). At that time, the abnormal temperature detection unit 312 identifies a pixel that has not yet been processed.

[0042] Next, the abnormal temperature detection unit 312 compares the temperature of the identified pixel to be processed with the temperature threshold (step 703). If the comparison shows that the temperature exceeds the temperature threshold (YES in step 703), the abnormal temperature detection unit 312 increments the count value of the pixel number counter (step 704). On the other hand, if the temperature does not exceed the temperature threshold (NO in step 703), the abnormal temperature detection unit 312 proceeds to step 709 without incrementing the count value of the pixel number counter.

[0043] When the count value of the pixel number counter has been incremented, the abnormal temperature detection unit 312 then compares the incremented count value with a pixel number threshold (step 705). If the comparison shows that the count value exceeds the pixel number threshold (YES in step 705), the abnormal temperature detection unit 312 increments the count value of the frame number counter (step 706). On the other hand, if the count value does not exceed the pixel number threshold (NO in step 705), the abnormal temperature detection unit 312 proceeds to step 709 without incrementing the count value of the frame number counter.

[0044] When the count value of the frame number counter is incremented, the abnormal temperature detection unit 312 next compares the incremented count value with the frame number threshold (step 707). If the result of this comparison shows that the count value exceeds the frame number threshold (YES in step 707), the abnormal temperature detection unit 312 outputs an alarm (step 708). At that time, the abnormal temperature detection unit 312 outputs an abnormal temperature detection signal to the alarm panel 102. On the other hand, if the count value does not exceed the frame number threshold (NO in step 707), the abnormal temperature detection unit 312 proceeds to step 711 without outputting an alarm.

[0045] In step 709, the abnormal temperature detection unit 312 determines whether or not all pixels in one set of temperature information to be processed have been processed. If the result of this determination is that all pixels have not been processed (NO in step 709), the abnormal temperature detection unit 312 returns to step 702 and identifies another pixel to be processed. On the other hand, if the result of this determination is that all pixels have been processed (YES in step 709), the abnormal temperature detection unit 312 resets the count value of the frame number counter (step 710) and proceeds to step 711.

[0046] In step 711, the abnormal temperature detection unit 312 determines whether or not all sets of temperature information have been processed. If the result of this determination is that all sets of temperature information have not been processed (NO in step 711), the abnormal temperature detection unit 312 resets the count value of the pixel number counter (step 712), returns to step 701, and identifies another set of temperature information as the processing target. On the other hand, if the result of this determination is that all sets of temperature information have been processed (YES in step 711), the abnormal temperature detection unit 312 ends this process. The abnormal temperature detection process 700 has been described above.

[0047] 1-2-3. Head control A description will now be given of the tripod head control executed by the control PC 104. An example of this tripod head control is shown in Fig. 8. The tripod head control 800 shown in the figure is executed for each temperature sensor unit 101.

[0048] First, the image analysis unit 412 of the control PC 104 identifies the camera 103 corresponding to the temperature sensor unit 101 to be processed, and acquires a camera image of the identified camera 103 from the auxiliary storage device 402 (step 801). At that time, the image analysis unit 412 acquires an unacquired camera image with the oldest image capture date and time.

[0049] Next, the image analysis unit 412 analyzes the acquired camera image and identifies the area with the highest density of the transported goods (step 802). An example of the method of identification at this time is as described above.

[0050] The camera-head control unit 413 controls the motorized camera-head 106 so that the temperature sensor 105 faces the area corresponding to the identified high-density area. This causes the center of the monitoring range of the temperature sensor 105 to overlap with the center of the area corresponding to the high-density area identified by the image analysis unit 412. In other words, the area corresponding to the identified high-density area is included in the monitoring range of the temperature sensor 105. This concludes the explanation of the tripod head control 800.

[0051] In the first embodiment described above, the temperature sensor 105 is equipped with an electric pan head 106, which allows it to swivel. In addition, the orientation of the temperature sensor 105 is changed according to the position of an object traveling on the conveyor 201. Therefore, according to this embodiment, even in an installation environment in which the viewing angle of the temperature sensor 105 cannot be sufficiently secured, the entire conveyor belt 203 in the left-right direction can be monitored with one temperature sensor 105.

[0052] 2. Second Example A second embodiment of the present invention will be described with reference to the drawings.

[0053] 2-1.Configuration FIG. 9 illustrates an example of a temperature sensor system according to the second embodiment. The temperature sensor system 900 shown in the figure is a system for detecting high-temperature objects flowing on a conveyor. This system is intended for use in, for example, recycling facilities. A high-temperature object to be detected in a recycling facility may be, for example, a lithium-ion battery that has been crushed in a crusher and caught fire.

[0054] The temperature sensor system 900 includes four temperature sensors 105, an alarm panel 102, four cameras 103, and a control PC 901. Of these, the devices other than the control PC 901 are the same as those in the first embodiment.

[0055] Each temperature sensor 105 is communicably connected to the alarm panel 102 by wire or wirelessly. Each camera 103 is communicably connected to the control PC 901 by wire or wirelessly.

[0056] Next, an example of installation of this system will be described. 10 shows an example of installation of the temperature sensor system 900. In particular, the figure shows an example of installing a pair of a temperature sensor 105 and a camera 103 on a conveyor 1001 in a recycling facility. Here, the conveyor 1001 on which the temperature sensor 105 and the like are installed comprises a drive motor 1003 communicatively connected to a motor controller 1002, a pulley 1004 connected to the drive motor 1003, and a conveyor belt 1005 stretched across the pulley 1004. Of these, the motor controller 1002 is communicatively connected to a control PC 901 by wire or wirelessly.

[0057] The temperature sensor 105 is installed so as to be able to monitor the conveyor belt 1005. The temperature sensor 105 in this embodiment is installed at a position so as to be able to monitor the entire conveyor belt 1005 in the left-right direction (in other words, the direction perpendicular to the conveying direction).

[0058] Next, camera 103 is installed so as to be able to monitor the top of conveyor belt 1005. Camera 103 is assumed to be installed at a position where it can monitor the entire conveyor belt 1005 in the left-right direction. In addition, the camera 103 is installed upstream of the temperature sensor 105 .

[0059] Next, a description will be given of the control PC 901 among the components of the temperature sensor system 900. The other components are the same as those in the first embodiment, and therefore the description will be omitted.

[0060] 2-1-1. Control PC901 The control PC 901 is an information processing device for controlling the transport speed of the conveyor 1001 based on camera images captured by the camera 103. The control PC 901 is, for example, a notebook PC or a tablet terminal.

[0061] FIG. 11 shows an example of the configuration of the control PC 901. The control PC 901 comprises a main memory device 1101 such as a RAM, an auxiliary memory device 1102 such as a flash memory, a processor 1103 such as a CPU, an input device 1104 such as a mouse or keyboard, an output device 1105 such as a display or speaker, and a communication control unit 1106 such as a network card.

[0062] Among these, the main memory device 1101 stores various programs. These programs are programs that can be distributed via a non-transitory storage medium or a network such as the Internet. Various functions are realized by the processor 1103 executing these programs. The realized functions include an image recording unit 1111, an image analysis unit 1112, and a conveyor control unit 1113. Each function will be described below.

[0063] The image recording unit 1111 periodically acquires camera images from each camera 103. Then, the image recording unit 1111 records the acquired camera images in the auxiliary storage device 1102 in association with the identification information of the output source and the current time.

[0064] The image analysis unit 1112 detects whether the size of the transported object exceeds a threshold value by sequentially reading and analyzing the camera images recorded by the image recording unit 1111. Specifically, the image analysis unit 1112 determines whether there is an object exceeding a predetermined size. As an example, the image analysis unit 1112 determines whether there is a large transported object by the following procedure.

[0065] (1) The camera image is binarized (in other words, converted into a black and white image). (2) Extract the contours of objects in black and white images. (3) Draw a bounding rectangle for each contour. (4) Determine the length of the diagonal for each circumscribing rectangle. (5) Identify the longest diagonal. (6) It is determined whether the length of the longest diagonal line exceeds a predetermined value. If the result of this determination is positive, there is a large-sized item, and if the result of this determination is negative, there is no large-sized item.

[0066] Next, the conveyor control unit 1113 controls the moving speed of the conveyor 1001 according to the size of the transported object. Specifically, when the image analysis unit 1112 determines that a large transported object is present (in other words, when the size of the transported object is detected to exceed the threshold value), the conveyor control unit 1113 controls the motor controller 1002 to reduce the moving speed of the conveyor 1001 for a predetermined time. This is because when a large transported object is present, a high-temperature object may be buried under the large transported object. In such a case, the conveyor control unit 1113 reduces the moving speed of the conveyor 1001 to lengthen the time that the large transported object remains in the monitoring range of the temperature sensor 105, thereby preventing the high-temperature object from being overlooked.

[0067] The predetermined time for slowing down the transport speed of the conveyor 1001 is the time assumed to be required for a large object to pass through the monitoring range of the temperature sensor 105.

[0068] If the image analysis unit 1112 determines that there is no large object, the conveyor control unit 1113 does not control the motor controller 1002 .

[0069] Next, the auxiliary storage device 1102 will be described. The auxiliary storage device 1102 stores camera image data 1121 .

[0070] 2-2.Operation Among the processes executed by the temperature sensor system 900, the temperature calculation process and the abnormal temperature detection process executed by the temperature sensor 105 are the same as those in the first embodiment, and therefore will not be described. In the following, only the conveyor control executed by the control PC 901 will be described.

[0071] 2-2-1.Conveyor control An example of conveyor control is shown in Fig. 12. The conveyor control 1200 shown in the figure is executed for each temperature sensor 105.

[0072] First, the image analysis unit 1112 of the control PC 901 identifies the camera 103 corresponding to the temperature sensor 105 to be processed, and acquires the camera image of the identified camera 103 from the auxiliary storage device 1102 (step 1201). At that time, the image analysis unit 1112 acquires the camera image with the oldest image capture date and time among the unacquired camera images.

[0073] Next, the image analysis unit 1112 analyzes the acquired camera image and judges whether or not there is an object exceeding a predetermined size (step 1202). An example of the judgment method at that time is as described above.

[0074] If it is determined in step 1202 that a large object is present (YES in step 1203), the conveyor control unit 1113 controls the motor controller 1002 to reduce the transport speed of the conveyor 1001 for a predetermined time (step 1204). This prevents high-temperature objects from going undetected. On the other hand, if it is determined in step 1202 that a large object is not present (NO in step 1203), the conveyor control unit 1113 does not control the motor controller 1002. The above is the description of the conveyor control 1200.

[0075] In the second embodiment described above, the transport speed of the conveyor 1001 is changed according to the size of the object flowing on the conveyor 1001. Specifically, when a large object is detected, the transport speed of the conveyor 1001 is reduced. This lengthens the time that the large object remains within the monitoring range of the temperature sensor 105, preventing high-temperature objects from being overlooked.

[0076] 3. Third Example A third embodiment of the present invention will be described with reference to the drawings.

[0077] 3-1.Configuration FIG. 13 illustrates an example of a temperature sensor system according to the third embodiment. The temperature sensor system 1300 shown in the figure is a system for detecting high-temperature objects flowing on a conveyor. This system is intended for use in, for example, recycling facilities. A high-temperature object to be detected in a recycling facility may be, for example, a lithium-ion battery that has been crushed in a crusher and caught fire.

[0078] The temperature sensor system 1300 includes four temperature sensors 105, an alarm panel 102, four cameras 103, and a control PC 1301. Of these, the devices other than the control PC 1301 are the same as those in the first embodiment.

[0079] Each temperature sensor 105 is communicably connected, by wire or wirelessly, to the alarm panel 102 and the control PC 1301. Each camera 103 is communicably connected, by wire or wirelessly, to the control PC 1301.

[0080] Next, an example of the installation of this system will be described. 14 shows an example of installation of the temperature sensor system 1300. In particular, the figure shows an example of installing a pair of temperature sensor 105 and camera 103 on a conveyor 1401 in a recycling facility. Here, the conveyor 1401 on which the temperature sensor 105 and the like are installed is composed of a pulley 1402 connected to a drive motor (not shown), and a conveyor belt 1403 stretched around the pulley 1402.

[0081] The temperature sensor 105 is installed so as to be able to monitor the conveyor belt 1403. The temperature sensor 105 in this embodiment is installed at a position so as to be able to monitor the entire left-right direction of the conveyor belt 1403 (in other words, the direction perpendicular to the conveying direction).

[0082] Next, the camera 103 is installed so as to be able to monitor the top of the conveyor belt 1403. The camera 103 is assumed to be installed at a position where it can monitor the entire conveyor belt 1403 in the left-right direction. In addition, the camera 103 is installed upstream of the temperature sensor 105 .

[0083] Next, a description will be given of the control PC 1301 among the components of the temperature sensor system 1300. The other components are the same as those in the first embodiment, and therefore the description will be omitted.

[0084] 3-1-1. Control PC1301 The control PC 1301 is an information processing device for controlling the temperature threshold of the temperature sensor 105 based on a camera image captured by the camera 103. The control PC 1301 is, for example, a notebook PC or a tablet terminal.

[0085] FIG. 15 shows an example of the configuration of the control PC 1301. The control PC 1301 includes a main memory device 1501 such as a RAM, an auxiliary memory device 1502 such as a flash memory, a processor 1503 such as a CPU, an input device 1504 such as a mouse or keyboard, an output device 1505 such as a display or speaker, and a communication control unit 1506 such as a network card.

[0086] Among these, the main memory device 1501 stores various programs. These programs are programs that can be distributed via a non-transitory storage medium or a network such as the Internet. Various functions are realized by the processor 1503 executing these programs. The realized functions include an image recording unit 1511, an image analysis unit 1512, and a threshold control unit 1513. Each function will be described below.

[0087] The image recording unit 1511 periodically acquires camera images from each camera 103. Then, the image recording unit 1511 records the acquired camera images in the auxiliary storage device 1502 in association with the identification information of the output source and the current time.

[0088] The image analysis unit 1512 detects whether the number of transported objects exceeds a threshold by sequentially reading and analyzing the camera images recorded by the image recording unit 1511. Specifically, the image analysis unit 1512 determines whether the density of the transported objects is high or not. As an example, the image analysis unit 1512 performs the high density determination in the following procedure.

[0089] (1) The camera image is binarized (in other words, converted into a black and white image). (2) Extract the contours of objects in black and white images. (3) Count the contours of objects. (4) Determine whether the number of contours exceeds a predetermined value. If the result of this determination is positive, the density is high, and if the result of this determination is negative, the density is not high.

[0090] Next, the threshold control unit 1513 controls the temperature threshold of the temperature sensor 105 according to the number of transported objects. Specifically, when the image analysis unit 1512 determines that the density is high (in other words, when it is detected that the number of transported objects exceeds the threshold), the threshold control unit 1513 controls the temperature sensor 105 to lower the temperature threshold by a predetermined value for a predetermined time. This is because when the density of transported objects is high, there is a possibility that a high-temperature object is buried under other transported objects. In such a case, the threshold control unit 1513 lowers the temperature threshold of the temperature sensor 105, making it easier to detect abnormal temperatures and preventing high-temperature objects from being overlooked.

[0091] The predetermined time for lowering the temperature threshold value is the time assumed to be required for a high-density object group to pass through the monitoring range of the temperature sensor 105.

[0092] If the image analysis unit 1512 does not determine that the density is high, the threshold control unit 1513 does not control the temperature threshold.

[0093] Next, the auxiliary storage device 1502 will be described. The auxiliary storage device 1502 stores camera image data 1521 .

[0094] 3-2.Operation Among the processes executed by the temperature sensor system 1300, the temperature calculation process and the abnormal temperature detection process executed by the temperature sensor 105 are common to the first embodiment described above, and therefore will not be described. In the following, only the threshold control executed by the control PC 1301 will be described.

[0095] 3-2-1.Threshold control An example of the threshold control is shown in Fig. 16. The threshold control 1600 shown in the figure is executed for each temperature sensor 105.

[0096] First, the image analysis unit 1512 of the control PC 1301 identifies the camera 103 corresponding to the temperature sensor 105 to be processed, and acquires the camera image of the identified camera 103 from the auxiliary storage device 1502 (step 1601). At that time, the image analysis unit 1512 acquires the camera image with the oldest image capture date and time among the unacquired camera images.

[0097] Next, the image analysis unit 1512 analyzes the acquired camera image to determine whether or not the density of the transported goods is high (step 1602). An example of the method of determination at this time is as described above.

[0098] If the result of the determination in step 1602 indicates high density (YES in step 1603), the threshold control unit 1513 controls the temperature sensor 105 to lower the temperature threshold by a predetermined value for a predetermined time (step 1604). This prevents high-temperature objects from being overlooked in detection. On the other hand, if the result of the determination in step 1602 indicates that high density is not present (NO in step 1603), the threshold control unit 1513 does not control the temperature threshold. The above is the explanation of the threshold control 1600.

[0099] In the third embodiment described above, the temperature threshold of the temperature sensor 105 is changed according to the density of the objects flowing on the conveyor 1401. Specifically, when the density is determined to be high, the temperature threshold is lowered. This makes it easier for the temperature sensor 105 to detect abnormal temperatures, and prevents high-temperature objects from being overlooked.

[0100] 4. Fourth Example A fourth embodiment of the present invention will be described with reference to the drawings.

[0101] 4-1.Configuration FIG. 17 illustrates an example of a temperature sensor system according to the fourth embodiment. The temperature sensor system 1700 shown in the figure is a system for detecting high-temperature objects flowing on a conveyor. This system is intended for use in, for example, recycling facilities. A high-temperature object to be detected in a recycling facility may be, for example, a lithium-ion battery that has been crushed in a crusher and caught fire.

[0102] The temperature sensor system 1700 includes four temperature sensors 105, an alarm panel 102, four cameras 103, and a control PC 1701. Of these, the devices other than the control PC 1701 are the same as those in the first embodiment.

[0103] Each temperature sensor 105 is communicably connected to the alarm panel 102 by wire or wirelessly. Each camera 103 is communicably connected to the control PC 1701 by wire or wirelessly.

[0104] Next, an example of the installation of this system will be described. 18 shows an example of installation of the temperature sensor system 1700. In particular, the figure shows an example of installing one set of the temperature sensor 105 and the camera 103 on a conveyor 1801 in a recycling facility. Here, the conveyor 1801 on which the temperature sensor 105 and the like are installed is composed of a pulley 1802 connected to a drive motor (not shown), and a conveyor belt 1803 stretched around the pulley 1802.

[0105] The temperature sensor 105 is installed so as to be able to monitor the conveyor belt 1803. The temperature sensor 105 in this embodiment is installed at a position so as to be able to monitor the entire left-right direction of the conveyor belt 1803 (in other words, the direction perpendicular to the conveying direction).

[0106] Next, camera 103 is installed so as to be able to monitor the top of conveyor belt 1803. Camera 103 is assumed to be installed at a position where it can monitor the entire conveyor belt 1803 in the left-right direction. In addition, the camera 103 is installed upstream of the temperature sensor 105 .

[0107] An air blow unit 1804 is also installed on the conveyor 1801. The air blow unit 1804 includes an air blow nozzle 1805, an air supply source (not shown), an air pipe (not shown) connecting the air blow nozzle 1805 to the air supply source, and a control valve 1806 attached to the air pipe. Of these, the air blow nozzle 1805 is installed downstream of the camera 103 and upstream of the temperature sensor 105. The air blow nozzle 1805 is installed, for example, on the ceiling surface inside the conveyor duct so as to blow away objects flowing on the conveyor 1801 backward (for example, in the opposite direction to the transport direction).

[0108] The control valve 1806 is a valve for controlling the blowing of pressurized air from the air blow nozzle 1805. This control valve 1806 is connected to the control PC 1701 by wire or wirelessly so as to be able to communicate with it.

[0109] Next, a description will be given of the control PC 1701 among the components of the temperature sensor system 1700. The other components are the same as those in the first embodiment, and therefore the description will be omitted.

[0110] 4-1-1.Control PC1701 The control PC 1701 is an information processing device for controlling air blowing based on camera images captured by the camera 103. The control PC 1701 is, for example, a notebook PC or a tablet terminal.

[0111] FIG. 19 shows an example of the configuration of the control PC 1301. The control PC 1701 includes a main memory device 1901 such as a RAM, an auxiliary memory device 1902 such as a flash memory, a processor 1903 such as a CPU, an input device 1904 such as a mouse or keyboard, an output device 1905 such as a display or speaker, and a communication control unit 1906 such as a network card.

[0112] Among these, the main memory device 1901 stores various programs. These programs are programs that can be distributed via a non-transitory storage medium or a network such as the Internet. Various functions are realized by the processor 1903 executing these programs. The realized functions include an image recording unit 1911, an image analysis unit 1912, and a movement control unit 1913. Each function will be described below.

[0113] The image recording unit 1911 periodically acquires camera images from each camera 103. Then, the image recording unit 1911 records the acquired camera images in the auxiliary storage device 1902 in association with the identification information of the output source and the current time.

[0114] The image analysis unit 1912 judges whether the density of the transported objects is high or not by sequentially reading and analyzing the camera images recorded by the image recording unit 1911. As an example, the image analysis unit 1912 performs the high density judgment in the following procedure.

[0115] (1) The camera image is binarized (in other words, converted into a black and white image). (2) Extract the contours of objects in black and white images. (3) Count the contours of objects. (4) Determine whether the number of contours exceeds a predetermined value. If the result of this determination is positive, the density is high, and if the result of this determination is negative, the density is not high.

[0116] Next, when the number of transported objects exceeds a threshold value, the movement control unit 1913 moves one or more transported objects on the conveyor 1801. Specifically, when the image analysis unit 1912 determines that the density is high, the movement control unit 1913 controls the control valve 1806 to spray pressurized air from the air blow nozzle 1805 for a predetermined time. This is because when the density of the transported objects is high, there is a possibility that a high-temperature object is buried under other transported objects. In such a case, the movement control unit 1813 sprays pressurized air to disperse the accumulated transported objects. This exposes the high-temperature object, making it possible for the temperature sensor 105 to detect it.

[0117] If the image analysis unit 1912 does not determine that the density is high, the movement control unit 1913 does not control the air blow.

[0118] Next, the auxiliary storage device 1902 will be described. The auxiliary storage device 1902 stores camera image data 1921 .

[0119] 4-2.Operation Among the processes executed by the temperature sensor system 1700, the temperature calculation process and abnormal temperature detection process executed by the temperature sensor 105 are common to the first embodiment described above, and therefore will not be described. In the following, only the movement control executed by the control PC 1701 will be described.

[0120] 4-2-1. Movement control An example of the movement control is shown in Fig. 20. The movement control 2000 shown in the figure is executed for each temperature sensor 105.

[0121] First, the image analysis unit 1912 of the control PC 1701 identifies the camera 103 corresponding to the temperature sensor 105 to be processed, and acquires a camera image of the identified camera 103 from the auxiliary storage device 1502 (step 2001). At that time, the image analysis unit 1912 acquires an unacquired camera image with the oldest image capture date and time.

[0122] Next, the image analysis unit 1912 analyzes the acquired camera image to determine whether or not the density of the transported goods is high (step 2002). An example of the method of determination at this time is as described above.

[0123] If the result of the determination in step 2002 indicates that the density is high (YES in step 2003), the movement control unit 1913 controls the control valve 1806 to spray pressurized air from the air blow nozzle 1805 for a predetermined time (step 2004). This prevents high-temperature objects from going undetected. On the other hand, if the result of the determination in step 2002 indicates that the density is not high (NO in step 2003), the movement control unit 1913 does not control the air blow. This concludes the explanation of the mobility control 2000.

[0124] In the fourth embodiment described above, air blowing is controlled according to the density of objects flowing on the conveyor 1801. Specifically, air blowing is performed when the object is determined to be high density. This makes it easier for high-temperature objects to be exposed, preventing missed detection.

[0125] 2. Variations The above embodiment may be modified as follows. The following modifications may be combined with each other.

[0126] (1) Variation 1 In the second embodiment described above, the transport speed of the conveyor 1001 is controlled in accordance with the size of the objects to be transported. However, instead of this, the transport speed of the conveyor 1001 may be controlled in accordance with the number of objects to be transported.

[0127] In this case, the image analysis unit 1112 of the control PC 901 detects that the number of transported objects exceeds the threshold by sequentially reading and analyzing the camera images. Specifically, the image analysis unit 1112 judges whether the density of the transported objects is high or not. The method of judgment at this time is the same as the high density judgment executed by the image analysis unit 1512 in the third embodiment.

[0128] Next, the conveyor control unit 1113 controls the moving speed of the conveyor 1001 according to the number of transported objects. Specifically, when the image analysis unit 1112 judges that the density is high (in other words, when the number of transported objects is detected to exceed a threshold value), the conveyor control unit 1113 controls the motor controller 1002 to reduce the moving speed of the conveyor 1001 for a predetermined time. This is because when the density of the transported objects is high, there is a possibility that a high-temperature object is buried under other transported objects. In such a case, the conveyor control unit 1113 reduces the moving speed of the conveyor 1001 to lengthen the time that the transported objects remain in the monitoring range of the temperature sensor 105, thereby preventing the high-temperature object from being overlooked.

[0129] If the image analysis unit 1112 does not determine that the density is high, the conveyor control unit 1113 does not control the motor controller 1002 .

[0130] (2) Variation 2 In the above-mentioned second embodiment, the transport speed of the conveyor 1001 may be controlled according to the height of the position of the transported object. In this case, in order to identify the height of the position of the transported article, a camera 103 is installed so as to be able to photograph the transported article from the side.

[0131] The image analysis unit 1112 of the control PC 901 sequentially reads out and analyzes the camera images to detect whether the height of the position of the transported object exceeds the threshold. Specifically, the image analysis unit 1112 performs the accumulation determination in the following procedure, for example.

[0132] (1) The camera image is binarized (in other words, converted into a black and white image). (2) Extract the contours of objects in black and white images. (3) Determine whether the height of any of the contours exceeds a threshold. If the result of this determination is positive, there is buildup; if the result of this determination is negative, there is no buildup.

[0133] Next, the conveyor control unit 1113 controls the moving speed of the conveyor 1001 according to the height of the position of the transported object. Specifically, when the image analysis unit 1112 determines that there is an accumulation (in other words, when it is detected that the height of the position of the transported object exceeds the threshold value), the conveyor control unit 1113 controls the motor controller 1002 to reduce the moving speed of the conveyor 1001 for a predetermined time. This is because when the transported objects are accumulated, there is a possibility that the high-temperature object is buried under other transported objects. In such a case, the conveyor control unit 1113 reduces the moving speed of the conveyor 1001 and lengthens the time that the transported object remains in the monitoring range of the temperature sensor 105, thereby preventing the high-temperature object from being overlooked.

[0134] If the image analysis unit 1112 determines that no accumulation exists, the conveyor control unit 1113 does not control the motor controller 1002 .

[0135] (3) Variation 3 In the above third embodiment, the temperature threshold value of the temperature sensor 105 is controlled in accordance with the number of transported articles. However, instead of this, the temperature threshold value may be controlled in accordance with the size of the transported articles.

[0136] In this case, the image analysis unit 1512 of the control PC 1301 detects that the size of the transported object exceeds the threshold by sequentially reading and analyzing the camera images. Specifically, the image analysis unit 1512 judges whether or not there is a transported object that exceeds a predetermined size. The method of judgment at that time is the same as the size judgment executed by the image analysis unit 1112 of the second embodiment.

[0137] Next, the threshold control unit 1513 controls the temperature threshold of the temperature sensor 105 according to the size of the transported object. Specifically, when the image analysis unit 1512 determines that a large transported object is present (in other words, when it is detected that the size of the transported object exceeds the threshold), the threshold control unit 1513 controls the temperature sensor 105 to lower the temperature threshold by a predetermined value for a predetermined time. This is because when a large transported object is present, a high-temperature object may be buried under the large transported object. In such a case, the threshold control unit 1513 lowers the temperature threshold of the temperature sensor 105, making it easier to detect an abnormal temperature and preventing high-temperature objects from being overlooked.

[0138] If the image analysis unit 1512 determines that there is no large object, the threshold control unit 1513 does not control the temperature threshold.

[0139] (4) Variation 4 In the above third embodiment, the temperature threshold of the temperature sensor 105 may be controlled in accordance with the height of the position of the transported article. In this case, in order to identify the height of the position of the transported article, a camera 103 is installed so as to be able to photograph the transported article from the side.

[0140] The image analysis unit 1512 of the control PC 1301 sequentially reads out and analyzes the camera images to detect that the height of the position of the transported object exceeds the threshold value. The method of determination at that time is the same as the pile-up determination performed by the image analysis unit 1112 in the above-mentioned modified example 2.

[0141] Next, the threshold control unit 1513 controls the temperature threshold of the temperature sensor 105 according to the height of the position of the transported goods. Specifically, when the image analysis unit 1512 determines that there is accumulation (in other words, when it is detected that the height of the position of the transported goods exceeds the threshold), the threshold control unit 1513 controls the temperature sensor 105 to lower the temperature threshold by a predetermined value for a predetermined time. This is because when transported goods are accumulated, there is a possibility that a high-temperature object is buried under other transported goods. In such a case, the threshold control unit 1513 lowers the temperature threshold of the temperature sensor 105, making it easier to detect abnormal temperatures and preventing high-temperature objects from being overlooked.

[0142] If the image analysis unit 1512 determines that no deposition occurs, the threshold control unit 1513 does not control the temperature threshold.

[0143] (5) Variation 5 In the fourth embodiment described above, the air blow is controlled in accordance with the number of transported objects, but instead of this, the air blow may be controlled in accordance with the size of the transported objects.

[0144] In this case, the image analysis unit 1912 of the control PC 1701 sequentially reads out and analyzes the camera images to determine whether or not there is an object exceeding a predetermined size. The method of determination is the same as the size determination performed by the image analysis unit 1112 in the second embodiment.

[0145] Next, the movement control unit 1913 moves one or more transported objects on the conveyor 1801 when the size of the transported object exceeds a threshold value. Specifically, when the image analysis unit 1912 determines that there is a large transported object, the movement control unit 1913 controls the control valve 1806 to spray pressurized air from the air blow nozzle 1805 for a predetermined time. This is because when a large transported object is present, there is a possibility that a high-temperature object is buried under the large transported object. In such a case, the movement control unit 1813 moves the large transported object by spraying pressurized air. This exposes the high-temperature object, making it detectable by the temperature sensor 105.

[0146] If the image analysis unit 1912 determines that there is no large object, the movement control unit 1913 does not control the air blowing.

[0147] (6) Variation 6 In the above fourth embodiment, the air blow may be controlled in accordance with the height of the position of the transported object. In this case, in order to identify the height of the position of the transported article, a camera 103 is installed so as to be able to photograph the transported article from the side.

[0148] The image analysis unit 1912 of the control PC 1701 sequentially reads out and analyzes the camera images to detect that the height of the position of the transported object exceeds the threshold value. The method of determination at that time is the same as the pile-up determination performed by the image analysis unit 1112 in the above-mentioned modified example 2.

[0149] Next, the movement control unit 1913 moves one or more transported objects on the conveyor 1801 when the height of the position of the transported object exceeds a threshold value. Specifically, when the image analysis unit 1912 determines that there is accumulation, the movement control unit 1913 controls the control valve 1806 to spray pressurized air from the air blow nozzle 1805 for a predetermined time. This is because, when transported objects are accumulated, there is a possibility that a high-temperature object is buried under other transported objects. In such a case, the movement control unit 1813 sprays pressurized air to disperse the accumulated transported objects. This exposes the high-temperature object, making it possible for the temperature sensor 105 to detect it.

[0150] If the image analysis unit 1912 determines that no accumulation exists, the movement control unit 1913 does not control the air blow.

[0151] (7) Variation 7 The conveyor to which each of the above-mentioned temperature sensor systems is applied is not limited to a belt conveyor, and each system may be applied to other types of conveyors (for example, roller conveyors) other than belt conveyors.

[0152] (8) Variation 8 The first to fourth embodiments may be combined with each other. For example, all the embodiments may be combined to control the orientation of the temperature sensor 105, control the conveyor transfer speed, control the temperature threshold of the temperature sensor 105, and control the air blow according to the size, number, or height of the transported objects.

[0153] (9) Variation 9 In the above third embodiment, the piled up transported objects are dispersed by air blowing. However, this method is merely an example, and for example, a vibration device may be installed under the conveyor belt 1803, and the piled up transported objects may be dispersed by shaking the conveyor belt 1803 in the left-right direction. In this case, the movement control unit 1913 controls the vibration device.

[0154] (10) Variation 10 In the first embodiment described above, the temperature sensor 105 is swung left and right. In addition to this left and right swing, the temperature sensor 105 may be caused to swing along the transport direction. By causing this swing along the transport direction to occur at the timing when the transported object passes (i.e., by having the temperature sensor 105 track the transported object), the time that the transported object remains within the monitoring range of the temperature sensor 105 can be extended.

[0155] (11) Other modifications The present invention is not limited to the above-described embodiments, and includes various modified examples. For example, the above-described embodiments have been described in detail to clearly explain the present invention, and the present invention is not necessarily limited to those including all of the configurations described. It is also possible to replace a part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. It is also possible to add, delete, or replace a part of the configuration of each embodiment with another configuration.

[0156] In addition, the above-mentioned configurations, functions, processing units, processing means, etc. may be realized in part or in whole by hardware, for example, by designing them as integrated circuits. In addition, the above-mentioned configurations, functions, etc. may be realized in software by a processor interpreting and executing a program that realizes each function. Information such as the program, table, file, etc. that realizes each function can be stored in a memory, a recording device such as a hard disk or SSD (Solid State Drive), or a recording medium such as an IC card, SD card, or DVD.

[0157] In addition, the control lines and information lines shown are those that are considered necessary for the explanation, and not all control lines and information lines in the product are necessarily shown. In reality, it can be considered that almost all components are connected to each other. The above-described embodiments disclose at least the configurations described in the claims. [Explanation of symbols]

[0158] 100, 900, 1300, 1700...Temperature sensor system, 101...Temperature sensor unit, 102...Alarm panel, 103...Camera, 104, 901, 1301, 1701...Control PC, 105...Temperature sensor, 106...Electric platform, 201, 1001, 1401, 1801...Conveyor, 202, 1004, 1402, 1802...Pulley, 203, 1005, 1403, 1803...Conveyor belt, 311...Temperature calculation unit, 312...Abnormal temperature detection unit, 321...Temperature log , 322...emissivity information, 323...threshold information, 411, 1111, 1511, 1911...image recording section, 412, 1112, 1512, 1912...image analysis section, 413...platform control section, 421, 1121, 1521, 1921...camera image data, 1002...motor controller, 1003...driving motor, 1113...conveyor control section, 1513...threshold control section, 1804...air blow unit, 1805...air blow nozzle, 1806...control valve, 1913...movement control section

Claims

1. A temperature sensor is provided to monitor the conveyor and output an abnormal temperature detection signal when the measured temperature exceeds a temperature threshold. A temperature sensor system further comprising a threshold control unit that controls the temperature threshold value according to the size, number or height of objects moving on the conveyor, or a movement control unit that controls one or more of the objects to move on the conveyor when the size, number or height of the objects exceeds a threshold value.

2. The temperature sensor system according to claim 1 , wherein the threshold control unit lowers the temperature threshold when a size, a number, or a height of a position of the object exceeds a threshold.

3. a visible light camera that monitors the conveyor and is installed upstream of the temperature sensor; an image analysis unit that analyzes a camera image captured by the visible light camera and detects whether the size, number, or height of the object exceeds the threshold; Further equipped with The temperature sensor system according to claim 2 , wherein the threshold control unit lowers the temperature threshold when the image analysis unit detects that the size, number, or height of the object exceeds a threshold.

4. The temperature sensor system according to claim 1 , wherein the movement control unit controls an air blow unit installed on the conveyor to move one or more of the objects on the conveyor.

5. The temperature sensor system according to claim 1 , further comprising a conveyor control unit that changes a transport speed of the conveyor depending on a size, a number, or a height of an object traveling on the conveyor.

6. The temperature sensor system according to claim 5 , wherein the conveyor control unit reduces a transport speed of the conveyor when a size, a number, or a height of the object exceeds a threshold value.

7. a visible light camera that monitors the conveyor and is installed upstream of the temperature sensor; an image analysis unit that analyzes a camera image captured by the visible light camera and detects whether the size, number, or height of the object exceeds the threshold; Further equipped with The temperature sensor system according to claim 6, wherein the conveyor control unit reduces a transport speed of the conveyor when the image analysis unit detects that the size, number, or height of the object exceeds the threshold value.

8. The temperature sensor is attached to a motorized pan head, The temperature sensor system according to claim 1 , further comprising a camera head control unit that controls the motorized camera head so that the object is included in a monitoring range of the temperature sensor.

9. a visible light camera that monitors the conveyor and is installed upstream of the temperature sensor; an image analysis unit that analyzes a camera image captured by the visible light camera and identifies a position of the object; Further equipped with The temperature sensor system according to claim 8 , wherein the pan head control unit controls the motorized pan head so that the object is included in a monitoring range of the temperature sensor based on the position identified by the image analysis unit.

Images