Method, system, device and equipment for detecting temperature distribution based on infrared imaging

Abstract

The invention discloses a method, a system, a device and equipment for detecting temperature distribution based on infrared imaging. The method for detecting temperature distribution based on infrared imaging comprises the following steps: acquiring a surface image of a photovoltaic glass calender acquired by an infrared camera; acquiring image gray scale information according to the surface image, and generating a temperature distribution image according to the image gray scale information; whether a temperature abnormal area exists in the temperature distribution image or not is judged, and the temperature abnormal area is the area with the temperature not within the preset range; if the temperature abnormal area does not exist, the output work is normal; and if the temperature abnormal region exists, outputting an abnormal alarm. The temperature of any position on the surface of the photovoltaic glass calender can be simultaneously detected through the infrared camera, a detection blind area is avoided, temperature abnormity can be found in time, product defects caused by the temperature problem are reduced, and therefore the product quality and the production efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic glass production, and in particular to a method, system, device and equipment for detecting temperature distribution based on infrared imaging. Background Art

[0002] Solar energy is a clean and pollution-free renewable energy. The advantage of solar photovoltaic glass is that it uses the endless solar energy to convert into controllable electrical energy. It has the advantages of not emitting gases harmful to the human body and the environment, no greenhouse effect, no noise, reliable, and long life. Therefore, the quality of photovoltaic glass will directly affect the efficiency of converting solar energy into controllable electrical energy. In the production process of photovoltaic glass, the calender is one of the key equipment, and its temperature control is crucial to product quality.

[0003] In the prior art, a temperature sensor is used to detect the temperature of the calender, but the temperature sensor can only detect the temperature of a local area of ​​the calender and cannot cover the entire glass production area of ​​the calender. This leads to the existence of a detection blind area, which may make it impossible to detect temperature anomalies in certain areas in time. Temperature anomalies may cause uneven stress distribution in the glass, affecting product quality.

[0004] Therefore, there is still an urgent need for a method that can comprehensively detect the temperature distribution of the glass production area of ​​the entire calender. Summary of the invention

[0005] The main purpose of the present invention is to propose a method, system, device and equipment for detecting temperature distribution based on infrared imaging, so as to solve the problem that the existing defect cannot detect the temperature distribution of the glass production area of ​​the entire calender.

[0006] To achieve the above object, the present invention proposes a method for detecting temperature distribution based on infrared imaging, the method for detecting temperature distribution based on infrared imaging comprising:

[0007] Obtaining a surface image of a photovoltaic glass calender collected by an infrared camera;

[0008] Acquiring image grayscale information according to the surface image, and generating a temperature distribution image according to the image grayscale information;

[0009] Determine whether there is an abnormal temperature area in the temperature distribution image, wherein the abnormal temperature area is an area where the temperature is not within a preset range;

[0010] If the temperature abnormality area does not exist, the output works normally;

[0011] If the abnormal temperature area exists, an abnormal alarm is output.

[0012] In some embodiments, before acquiring the surface image of the photovoltaic glass calender collected by the infrared camera, the method further includes:

[0013] Acquire the area to be detected of the photovoltaic glass calender;

[0014] The shooting field of view of the infrared camera is adjusted according to the area to be detected, and the focal length of the infrared camera is adjusted.

[0015] In some embodiments, the step of acquiring a surface image of a photovoltaic glass calender collected by an infrared camera includes:

[0016] Notifying the infrared camera to collect the surface image of the area to be detected;

[0017] The surface image captured by the infrared camera is acquired.

[0018] In some embodiments, generating a temperature distribution image according to the image grayscale information includes:

[0019] Converting the image grayscale information into temperature data;

[0020] The temperature distribution image is generated according to the temperature data.

[0021] In some embodiments, after generating the temperature distribution image according to the image grayscale information, the method further includes:

[0022] Analyze the temperature distribution image to generate an analysis report, and display it;

[0023] The temperature distribution image and the analysis report are stored.

[0024] In some embodiments, after adjusting the shooting field of view of the infrared camera according to the area to be detected and adjusting the focal length of the infrared camera, the method further includes:

[0025] Allowing the temperature in the area to be detected to gradually change within a preset range, and acquiring surface images corresponding to each temperature;

[0026] The grayscale information of each image is obtained according to each surface image, and a corresponding relationship between each temperature and the grayscale information of each image is established.

[0027] The present invention further proposes a temperature distribution detection system based on infrared imaging, wherein the temperature distribution detection system based on infrared imaging comprises a data processing module, wherein the data processing module is used for:

[0028] Obtaining a surface image of a photovoltaic glass calender collected by an infrared camera;

[0029] Acquiring image grayscale information according to the surface image, and generating a temperature distribution image according to the image grayscale information;

[0030] Determine whether there is an abnormal temperature area in the temperature distribution image, wherein the abnormal temperature area is an area where the temperature is not within a preset range;

[0031] If the temperature abnormality area does not exist, the output works normally;

[0032] If the abnormal temperature area exists, an abnormal alarm is output.

[0033] In some embodiments, the data processing module is further used to:

[0034] Acquire the area to be detected of the photovoltaic glass calender;

[0035] The shooting field of view of the infrared camera is adjusted according to the area to be detected, and the focal length of the infrared camera is adjusted.

[0036] The present invention also proposes a device for detecting temperature distribution based on infrared imaging, comprising:

[0037] at least one processor; and,

[0038] a memory communicatively connected to the at least one processor; wherein,

[0039] The memory stores instructions executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute any one of the above-mentioned methods for detecting temperature distribution based on infrared imaging.

[0040] The present invention further provides a production equipment, comprising a cooling device and a temperature distribution detection system based on infrared imaging as described in any one of the above.

[0041] The present invention can simultaneously detect the temperature of any point on the surface of the photovoltaic glass calender through an infrared camera, avoiding detection blind spots, enabling temperature anomalies to be discovered in a timely manner, reducing product defects caused by temperature problems, and thus improving product quality and production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic diagram of the process of the method for detecting temperature distribution based on infrared imaging of the present invention;

[0043] Figure 2 It is another schematic diagram of the process of the method for detecting temperature distribution based on infrared imaging of the present invention;

[0044] Figure 3 It is another schematic diagram of the process of the method for detecting temperature distribution based on infrared imaging of the present invention;

[0045] Figure 4It is another schematic diagram of the process of the method for detecting temperature distribution based on infrared imaging of the present invention;

[0046] Figure 5 It is another schematic diagram of the process of the method for detecting temperature distribution based on infrared imaging of the present invention;

[0047] Figure 6 It is another schematic diagram of the process of the method for detecting temperature distribution based on infrared imaging of the present invention;

[0048] Figure 7 This is a schematic diagram of a use scenario of the method for detecting temperature distribution based on infrared imaging of the present invention;

[0049] Figure 8 This is a schematic diagram of another use scenario of the method for detecting temperature distribution based on infrared imaging of the present invention;

[0050] Fig. 9 It is a schematic diagram of the structure of a device for detecting temperature distribution based on infrared imaging according to an embodiment of the present invention.

[0051] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0052] The scheme in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only a part of the embodiment of the present invention, not all of the embodiments. Based on the embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] It should be noted that all directional indications in the embodiments of the present invention (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0054] It should also be noted that when an element is referred to as being "fixed on" or "disposed on" another element, it may be directly on the other element or there may be an intermediate element at the same time. When an element is referred to as being "connected to" another element, it may be directly connected to the other element or there may be an intermediate element at the same time.

[0055] In addition, the descriptions of "first", "second", etc. in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0056] To achieve the above object, the present invention proposes a method for detecting temperature distribution based on infrared imaging, which includes:

[0057] Step S110, acquiring a surface image of a photovoltaic glass calender collected by an infrared camera;

[0058] Step S120, acquiring image grayscale information according to the surface image, and generating a temperature distribution image according to the image grayscale information;

[0059] Step S130, determining whether there is an abnormal temperature area in the temperature distribution image, wherein the abnormal temperature area is an area where the temperature is not within a preset range;

[0060] Step S140, if there is no abnormal temperature area, the output is working normally;

[0061] Step S150: If there is an abnormal temperature area, an abnormal alarm is output.

[0062] In some embodiments, reference Figure 1 , the method for detecting temperature distribution based on infrared imaging is applied to a system for detecting temperature distribution based on infrared imaging; the system for detecting temperature distribution based on infrared imaging may include a data processing module, an infrared camera, an alarm and a photovoltaic glass calender. First, the data processing module controls the infrared camera to collect the surface image of the photovoltaic glass calender, and then the data processing module obtains the surface image collected by the infrared camera. The data processing module analyzes and processes the surface image to obtain the image grayscale information; and generates a temperature distribution image based on the image grayscale information. Then the data processing module can determine whether there is an abnormal temperature area in the temperature distribution image; wherein the abnormal temperature area is an area where the temperature is not within a preset range. The system for detecting temperature distribution based on infrared imaging may also include a display screen; if the data processing module determines that there is no abnormal temperature area in the temperature distribution image, it can output normal operation through the display screen. If the data processing module determines that there is an abnormal temperature area in the temperature distribution image, it can output an abnormal alarm through the alarm.

[0063] It is understood that in the embodiment of the present invention, the temperature distribution image may be an isotherm diagram, that is, points with the same temperature are connected into a smooth curve in the diagram, and the smooth curve is the isotherm. The preset range of temperature may be 600°C ± 30°C.

[0064] Among them, refer to Figure 7 The temperature distribution detection system based on infrared imaging can be used for a photovoltaic glass production equipment, and the photovoltaic glass production equipment can also include a kiln and a cooling device. The kiln can generate fluid photovoltaic glass from the raw materials of photovoltaic glass. The photovoltaic glass calender can extrude and mold the fluid photovoltaic glass. The infrared camera is used to collect the surface image of the working area of ​​the photovoltaic glass calender where the fluid photovoltaic glass is squeezed and molded. The data processing module can process these surface images to determine whether there is an abnormal temperature area in the working area of ​​the photovoltaic glass calender. If not, it outputs that the work is normal. If it exists, an abnormal alarm is output through the alarm; at this time, the working area of ​​the photovoltaic glass calender can also be cooled by the cooling device.

[0065] In some embodiments, before obtaining the surface image of the photovoltaic glass calender collected by the infrared camera, the method further includes:

[0066] Step S100, obtaining a region to be inspected of a photovoltaic glass calender;

[0067] Step S101, adjusting the shooting field of view of the infrared camera according to the area to be detected, and adjusting the focal length of the infrared camera.

[0068] In this embodiment, refer to Figure 2 and Figure 7 Before executing the aforementioned step S110, if the production equipment has not been installed, the production equipment needs to be installed before it can be put into use. Among them, the infrared camera can be installed diagonally above the photovoltaic glass calender, and the distance between the infrared camera and the photovoltaic glass calender can be 3 meters. The infrared camera can be an uncooled infrared focal plane detector with a resolution of 640×480 pixels. The spectral response range of the infrared camera is 3-5μm, and the temperature resolution is better than 0.05℃. After the infrared camera is installed, the shooting field of view and focal length of the infrared camera need to be adjusted.

[0069] First, the inspection area of ​​the photovoltaic glass calender must be obtained, that is, the working area of ​​the photovoltaic glass calender where the photovoltaic glass calender extrude and mold the photovoltaic glass. Then adjust the infrared camera's shooting field of view to the working area, that is, the infrared camera's shooting field of view can cover the working area of ​​the photovoltaic glass calender; then adjust the infrared camera's focal length so that the infrared camera focuses on the working area of ​​the photovoltaic glass calender. This allows the infrared camera to clearly capture the surface image of the entire photovoltaic glass calender's working area. In addition, after the infrared camera has worked continuously for a period of time (wherein, the period of time can be one month), the infrared camera can be cleaned and maintained to remove dust and impurities that may affect the clarity of the shooting.

[0070] Among them, refer to Figure 7 and Figure 8 , the infrared camera needs to collect the surface image of the working area of ​​the photovoltaic glass calender at a close distance, and the photovoltaic glass calender is connected to the kiln, so the ambient temperature of the infrared camera is higher than the working temperature of the infrared camera itself. Therefore, the infrared camera needs to be heat-insulated. For example: place the infrared camera in a protective cover, and use a germanium sheet in the shooting field of the infrared camera; among them, germanium is a relatively hard and high-density infrared transmission material that can transmit an infrared spectrum greater than 2μm; the infrared camera in the protective cover can shoot outside the protective cover through the germanium sheet. At the same time, the protective cover can also be cooled by a cooling device to control the temperature inside the protective cover within the working temperature range of the infrared camera.

[0071] In some embodiments, after adjusting the shooting field of view of the infrared camera according to the area to be detected and adjusting the focal length of the infrared camera, the method further includes:

[0072] Step S190, allowing the temperature in the area to be detected to gradually change within a preset range, and obtaining surface images corresponding to each temperature;

[0073] Step S191, obtaining grayscale information of each image according to each surface image, and establishing a corresponding relationship between each temperature and each image grayscale information.

[0074] In this embodiment, refer to Figure 6, after the equipment is installed and the shooting field of view and focal length of the infrared camera are adjusted; it is also necessary to collect surface images at various temperatures and establish a corresponding relationship. Several standard black bodies that can be electrically heated can be evenly placed in the working area of ​​the photovoltaic glass calender, so that the standard black bodies are powered on and the temperature of the standard black bodies is adjusted. The temperature adjustment range can be from 200℃ to 800℃. Then the infrared camera collects surface images at various temperatures; the data processing module obtains these surface images, and performs preprocessing such as denoising and geometric correction on these surface images to obtain the corresponding image grayscale information of each surface image, and then establishes a corresponding relationship between each image grayscale information and each temperature to obtain a temperature-image grayscale information relationship diagram. In this way, the image grayscale information can be obtained based on the surface image in the future, and the image grayscale information can be compared with the temperature-image grayscale information relationship diagram to obtain the corresponding temperature, and the temperature distribution image can be generated at this time. In addition, the infrared camera can be calibrated according to the temperature-image grayscale information relationship diagram to ensure the detection accuracy.

[0075] In some embodiments, the above step of acquiring the surface image of the photovoltaic glass calender collected by the infrared camera includes:

[0076] Step S160, notifying the infrared camera to collect a surface image of the area to be detected;

[0077] Step S161, obtaining a surface image captured by an infrared camera.

[0078] In this embodiment, refer to Figure 3 The surface image that the infrared camera needs to collect can be the surface image of the area to be detected, and the area to be detected can be the working area of ​​the photovoltaic glass calender for extruding and molding the photovoltaic glass. Because the collected surface image is the working area for extruding and molding the photovoltaic glass, the surface image can also include the image of the photovoltaic glass; at this time, the temperature distribution system based on infrared imaging detection can detect the temperature change of the photovoltaic glass during the extrusion molding process; in this way, the temperature control accuracy of the photovoltaic glass extrusion molding process can be significantly improved, and product defects caused by temperature problems can be reduced, thereby improving product quality and production efficiency. At the same time, since temperature anomalies can be discovered and handled in a timely manner, energy consumption can be reduced, scrap rate can be reduced, and significant economic benefits can be brought to the enterprise.

[0079] In some embodiments, the above-mentioned step of generating a temperature distribution image according to image grayscale information includes:

[0080] Step S170, converting the image grayscale information into temperature data;

[0081] Step S171, generating a temperature distribution image according to the temperature data.

[0082] In this embodiment, refer to Figure 4When executing the aforementioned step S120, the image grayscale information can be converted into temperature data according to the temperature-image grayscale information relationship diagram; then a temperature distribution image is generated according to the temperature data; that is, points with the same temperature are connected to form an isotherm diagram.

[0083] In some embodiments, after generating the temperature distribution image according to the image grayscale information, the method further includes:

[0084] Step S180, analyzing the temperature distribution image to generate an analysis report and displaying it;

[0085] Step S181, storing the temperature distribution image and analysis report.

[0086] In this embodiment, refer to Figure 5 , an analysis report can be generated by analyzing the temperature distribution image and displayed on the display screen; the analysis report may include the highest temperature, lowest temperature, average temperature, temperature uniformity index (defined as the ratio of standard deviation to average temperature), and the location, area and temperature deviation of abnormal areas, etc. The temperature distribution image and analysis report can also be stored in the local server for a period of 3 months. Through big data analysis technology, historical data can be mined to identify temperature change trends and potential temperature anomaly patterns, providing a basis for production optimization.

[0087] The present invention can simultaneously detect the temperature of any point on the surface of the photovoltaic glass calender through an infrared camera, avoiding detection blind spots, enabling temperature anomalies to be discovered in a timely manner, reducing product defects caused by temperature problems, and thus improving product quality and production efficiency.

[0088] The present invention also proposes a temperature distribution detection system based on infrared imaging. The temperature distribution detection system based on infrared imaging includes a data processing module, and the data processing module is used to:

[0089] Obtaining a surface image of a photovoltaic glass calender collected by an infrared camera;

[0090] Obtaining image grayscale information according to the surface image, and generating a temperature distribution image according to the image grayscale information;

[0091] Determine whether there is an abnormal temperature area in the temperature distribution image, wherein the abnormal temperature area is an area where the temperature is not within a preset range;

[0092] If there is no abnormal temperature area, the output works normally;

[0093] If there is an abnormal temperature area, an abnormal alarm will be output.

[0094] In some embodiments, the data processing module is further configured to:

[0095] Obtain the area to be inspected of the photovoltaic glass calender;

[0096] Adjust the infrared camera's field of view and focal length according to the area to be detected.

[0097] The present invention also proposes a device for detecting temperature distribution based on infrared imaging, see Fig. 9 , Fig. 9 It is a structural schematic diagram of a device for detecting temperature distribution based on infrared imaging in a hardware operating environment involved in an embodiment of the present invention.

[0098] The device for detecting temperature distribution based on infrared imaging according to the embodiment of the present invention may be a production device capable of running a system for detecting temperature distribution based on infrared imaging. Fig. 9 As shown, the device for detecting temperature distribution based on infrared imaging may include: a processor 1001 (e.g., a CPU), a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit, such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory, or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may optionally be a storage device independent of the aforementioned processor 1001.

[0099] Those skilled in the art will understand that Fig. 9 The structure of the device for detecting temperature distribution based on infrared imaging shown in the figure does not constitute a limitation on the device for detecting temperature distribution based on infrared imaging, and may include more or less components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0100] like Fig. 9 As shown, the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module and a computer program.

[0101] exist Fig. 9 In the device for detecting temperature distribution based on infrared imaging shown, the network interface 1004 is mainly used to connect to the background server and communicate data with the background server; the user interface 1003 is mainly used to connect to the client (user end) and communicate data with the client; and the processor 1001 can be used to call the computer program stored in the memory 1005. When the computer program is called and executed by the processor 1001, the steps of the above-mentioned method for detecting temperature distribution based on infrared imaging are implemented.

[0102] The present invention further provides a production equipment, comprising a cooling device and a temperature distribution detection system based on infrared imaging as described in any one of the above.

[0103] Based on the computer program proposed in the aforementioned embodiment, the present invention further proposes a storage medium, which stores the computer program. When the computer program is executed by a controller, the method for detecting temperature distribution based on infrared imaging recorded in the aforementioned embodiment is implemented.

[0104] The present invention also proposes a storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the method for detecting temperature distribution based on infrared imaging as described in any one of the above technical solutions are implemented.

[0105] The above description is only a partial or preferred embodiment of the present invention. Neither the text nor the drawings can limit the scope of protection of the present invention. All equivalent structural changes made by using the contents of the present invention specification and drawings under the overall concept of the present invention, or direct / indirect application in other related technical fields are included in the scope of protection of the present invention.

Claims

1. A method for detecting temperature distribution based on infrared imaging, characterized in that: The method for detecting temperature distribution based on infrared imaging comprises: Obtaining a surface image of a photovoltaic glass calender collected by an infrared camera; Acquiring image grayscale information according to the surface image, and generating a temperature distribution image according to the image grayscale information; Determine whether there is an abnormal temperature area in the temperature distribution image, wherein the abnormal temperature area is an area where the temperature is not within a preset range; If the temperature abnormality area does not exist, the output works normally; If the abnormal temperature area exists, an abnormal alarm is output.

2. The method for detecting temperature distribution based on infrared imaging according to claim 1, characterized in that: Before acquiring the surface image of the photovoltaic glass calender collected by the infrared camera, the method further includes: Acquire the area to be detected of the photovoltaic glass calender; The shooting field of view of the infrared camera is adjusted according to the area to be detected, and the focal length of the infrared camera is adjusted.

3. The method for detecting temperature distribution based on infrared imaging according to claim 2, characterized in that: The step of obtaining a surface image of a photovoltaic glass calender collected by an infrared camera comprises: Notifying the infrared camera to collect the surface image of the area to be detected; The surface image captured by the infrared camera is acquired.

4. The method for detecting temperature distribution based on infrared imaging according to claim 1, characterized in that: The step of generating a temperature distribution image according to the image grayscale information comprises: Converting the image grayscale information into temperature data; The temperature distribution image is generated according to the temperature data.

5. The method for detecting temperature distribution based on infrared imaging according to claim 1, characterized in that: After generating the temperature distribution image according to the image grayscale information, the method further includes: Analyze the temperature distribution image to generate an analysis report, and display it; The temperature distribution image and the analysis report are stored.

6. The method for detecting temperature distribution based on infrared imaging according to claim 2, characterized in that: After adjusting the shooting field of view of the infrared camera according to the area to be detected and adjusting the focal length of the infrared camera, the method further includes: Allowing the temperature in the area to be detected to gradually change within a preset range, and acquiring surface images corresponding to each temperature; The grayscale information of each image is obtained according to each surface image, and a corresponding relationship between each temperature and the grayscale information of each image is established.

7. A temperature distribution detection system based on infrared imaging, characterized in that: The temperature distribution detection system based on infrared imaging includes a data processing module, and the data processing module is used for: Obtaining a surface image of a photovoltaic glass calender collected by an infrared camera; Acquiring image grayscale information according to the surface image, and generating a temperature distribution image according to the image grayscale information; Determine whether there is an abnormal temperature area in the temperature distribution image, wherein the abnormal temperature area is an area where the temperature is not within a preset range; If the temperature abnormality area does not exist, the output works normally; If the abnormal temperature area exists, an abnormal alarm is output.

8. The temperature distribution detection system based on infrared imaging according to claim 7 is characterized in that: The data processing module is also used for: Acquire the area to be detected of the photovoltaic glass calender; The shooting field of view of the infrared camera is adjusted according to the area to be detected, and the focal length of the infrared camera is adjusted.

9. A device for detecting temperature distribution based on infrared imaging, characterized in that: include: at least one processor; as well as, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method for detecting temperature distribution based on infrared imaging according to any one of claims 1 to 6.

10. A production equipment, characterized in that: It comprises a cooling device and a temperature distribution detection system based on infrared imaging as described in any one of claims 7 to 8.

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