Infrared thermal imaging-based automatic feeding method and system for annular charge level of industrial kiln

Abstract

The invention provides an automatic feeding method and system for an annular charge level of an industrial kiln based on infrared thermal imaging, and belongs to the technical field of automatic feeding of industrial kilns. Through an infrared thermal imaging detection technology, the temperature of the annular charge level in the rotation period of the shaft furnace is accurately detected, a high-temperature charging area is divided through data analysis, an annular charge level temperature distribution diagram in the rotation period of the shaft furnace is generated and fed back to a centralized control system, and a charging execution mechanism is guided to accurately complete charging operation in time. According to the invention, the problems of overburning and feeding delay frequently occurring in shaft furnace production are reduced and improved; the production of the industrial kiln is stable, and the yield is improved; and meanwhile, the automation rate and the operation rate of the shaft furnace are effectively improved, the labor cost and potential safety hazards are reduced, and application of the automatic and intelligent technology is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic feeding of industrial kilns, and in particular to an automatic feeding method and system for annular material surfaces of industrial kilns based on infrared thermal imaging. Background Art

[0002] With the continuous development of the industrial kiln industry and the continuous optimization of the industrial structure, the industry has an increasing demand for advanced equipment, automation and intelligent technology. Under the current conditions of capacity replacement, environmental protection upgrade and other project creation, drying kilns, sleeve kilns, rotary kilns and other industrial kiln equipment with high monomer capacity and advanced process equipment are generally equipped. Among them, the vertical furnace has a very high share in the ferrochrome market due to its advantages of energy saving and environmental protection, good oxidation of the generated pellets and high pelletization rate, and is the top priority in the oxidation pelletization process. The vertical furnace consists of three parts: a roasting chamber, a storage hopper and a combustion chamber. The roasting chamber of the vertical furnace consists of two cylinder bodies of an inner cylindrical cylinder and an outer cylindrical cylinder and a bottom storage platform. The raw pellets are put into the annular area between the inner cylindrical cylinder and the outer cylindrical cylinder through an impeller feeder to form an annular material layer. The furnace bed rotates at a low speed through a variable speed reducer, and the inner cylindrical cylinder body and the furnace bed slide and rotate. The rotating shafts of the furnace bed and the inner cylindrical cylinder and the outer cylindrical cylinder are eccentrically set, and the pellets are quantitatively discharged through eccentric movement. At present, in vertical furnace production, the temperature of the annular material surface is often detected manually, and the material surface charging operation is guided by visual observation and production experience. Overburning and delayed charging often occur, which not only wastes manpower and poses safety hazards, but also seriously affects the output of the vertical furnace.

[0003] Since the annular material surface in the vertical furnace production has only two colors, red and black, and the temperature of the red material surface is also very different. The temperature of the annular material surface is only detected on-site manually, relying on naked eye observation and temperature measurement guns. The temperature measurement is limited and discontinuous, and the pellets are often overburned. At the same time, relying on manual production experience to judge when to add material to the material surface often causes delays in adding material, and cannot ensure the continuous production of the vertical furnace, which in turn affects the output of the vertical furnace. With the continuous development of science and technology, the detection methods are becoming more and more abundant, and gradually developed from mechanized manual operation to automated and intelligent centralized control. The manual detection and operation mode that relies too much on experience has been unable to cope with increasingly complex working conditions. The development concept of "less manpower, unmanned, and intelligent" has become more and more popular. Therefore, it is urgent to develop an automatic feeding technology for the annular material surface of industrial kilns based on infrared thermal imaging. During the rotation cycle of the vertical furnace, the temperature distribution map of the annular material surface of the vertical furnace can be detected and drawn with the help of infrared thermal imaging detection technology. Through centralized management of the detection data and generation of algorithm models, after big data processing and analysis, the addresses of high-temperature areas that need to be fed in production are marked, and timely feedback is given to the vertical furnace control system to reasonably and accurately guide the distributor to perform feeding operations. This move can not only improve the automation rate of the vertical furnace and reduce labor costs, but also effectively improve the continuous operation rate of the vertical furnace, thereby greatly increasing the output of the vertical furnace. Summary of the invention

[0004] According to the technical problems mentioned in the above background technology, a method and system for automatically feeding the annular material surface of an industrial kiln based on infrared thermal imaging is provided.

[0005] The technical means adopted by the present invention are as follows:

[0006] An automatic feeding method for annular material surface of an industrial kiln based on infrared thermal imaging comprises the following steps:

[0007] The infrared thermal imaging unit detects relevant information of the annular material surface during the rotation period of the vertical furnace, performs logical processing on the relevant information, and then transmits the processed real-time information to the central control operation unit for viewing by process operators; the centralized control unit receives control instructions sent by the central control operation unit to complete two-way data communication with the central control operation unit; the centralized control unit sends control instructions and setting parameters to the infrared thermal imaging unit for parameter comparison and data analysis; the infrared thermal imaging unit processes and analyzes the detected data, splices it into an annular material surface temperature distribution flattened diagram, and feeds back the annular material surface temperature distribution flattened diagram to the centralized control unit, the centralized control unit screens the received information, and at the same time compares the displacement signal detected by the displacement detection unit and processed by the data acquisition unit, adjusts the production process control, and transmits the control signal to the feeding execution unit through the instruction output unit to complete the feeding action.

[0008] Furthermore, the relevant information includes: temperature alarm value setting, required charging temperature value setting, vertical furnace rotation speed and annular material surface height.

[0009] Furthermore, the process of stitching together an annular material surface temperature distribution flattened map includes the following steps: a material surface image processing process and a material surface temperature image stitching process.

[0010] Furthermore, the material surface image processing process includes the following steps:

[0011] The infrared digital image detail enhancement technology is used. The original target information is analyzed with a high-speed processor, and the background layer (low-frequency part) and detail layer (high-frequency part) of the image are separated with a special filter to extract the distribution of useful grayscale information and useless grayscale information. The useful grayscale information distribution and useless grayscale information are compressed to enhance the details of the image while retaining the dynamic range.

[0012] The on-site temperature measurement area is divided according to the actual installation points of the on-site probes, and multiple real-time full-radiation thermal images are displayed within a rotation cycle. The temperature rise trend of the entire thermal image or a specific area is automatically analyzed to detect high-temperature areas that need to be added in advance.

[0013] Furthermore, the material surface temperature image stitching process includes the following steps:

[0014] Find the feature points of the images to be stitched by Fourier's phase correlation method or feature-based methods in the spatial domain, use the Harris corner points, and then use grayscale correlation plus relaxed matching to find the corresponding points;

[0015] Through the gradient direction of the feature points, a set of optimal feature matches is determined. This set of data is used to give the estimated initial value of the transformation matrix between the two images. Then a recursive algorithm is used to find the final precise transformation relationship. Through pixel layer fusion technology, the stitching of multiple thermal images is completed.

[0016] The present invention also includes an annular material surface automatic feeding system for an industrial kiln based on infrared thermal imaging, comprising:

[0017] Infrared thermal imaging unit, centralized control unit, central control operation unit, displacement detection unit, data acquisition unit, instruction output unit and feeding execution unit;

[0018] The infrared thermal imaging unit detects relevant information of the annular material surface during the rotation period of the vertical furnace, performs logical processing on the relevant information, and then transmits the processed real-time information to the central control operation unit for viewing by process operators; the centralized control unit receives control instructions sent by the central control operation unit to complete two-way data communication with the central control operation unit; the centralized control unit sends control instructions and setting parameters to the infrared thermal imaging unit for parameter comparison and data analysis; the infrared thermal imaging unit processes and analyzes the detected data, splices it into an annular material surface temperature distribution flattened diagram, and feeds back the annular material surface temperature distribution flattened diagram to the centralized control unit, the centralized control unit screens the received information, and at the same time compares the displacement signal detected by the displacement detection unit and processed by the data acquisition unit, adjusts the production process control, and transmits the control signal to the feeding execution unit through the instruction output unit to complete the feeding action.

[0019] Furthermore, the infrared thermal imaging unit includes: an image detection and analysis unit, an algorithm model unit and a data output unit.

[0020] Furthermore, the displacement detection unit senses and detects the displacement data parameters within the rotation period of the vertical furnace during the production process, and converts the detected signals into electrical signals according to a certain rule for output.

[0021] Furthermore, the central control operation unit displays, alarms and controls the information received from the centralized control unit in real time, and sends the control instructions of the process operator to the centralized control unit.

[0022] Furthermore, the data acquisition unit acquires the electrical signal output by the displacement detection unit according to a certain scanning period and then outputs the acquired data to the centralized control unit.

[0023] Compared with the prior art, the present invention has the following advantages:

[0024] The present invention reduces and improves the problems of overburning and delayed charging that often occur in vertical furnace production; enables stable operation of industrial kiln production and improves output; and at the same time effectively improves the automation rate and operation rate of the vertical furnace, reduces labor costs and safety hazards, and realizes the application of automation and intelligent technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0026] Figure 1 Schematic diagram of the system structure of the present invention.

[0027] Figure 2 It is a schematic diagram of the working principle of the infrared digital image detail enhancement (DDE) algorithm of the present invention.

[0028] Figure 3 Schematic diagram of the pixel layer image fusion technology of the present invention. DETAILED DESCRIPTION

[0029] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0030] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0031] like Figure 1-Figure 3 As shown, the present invention provides an automatic feeding method for annular material surface of an industrial kiln based on infrared thermal imaging, comprising the following steps:

[0032] The infrared thermal imaging unit 101 detects relevant information of the annular material surface during the rotation period of the vertical furnace, performs logical processing on the relevant information, and then transmits the processed real-time information to the central control operation unit 103 for viewing by the process operator; the centralized control unit 102 receives the control instructions sent by the central control operation unit 103, and completes the two-way data communication with the central control operation unit 103; the centralized control unit 102 sends the control instructions and setting parameters to the infrared thermal imaging unit 101 for parameter comparison and data analysis; the infrared thermal imaging unit 101 processes and analyzes the detected data and splices them into an annular material surface temperature distribution flattened diagram, and the annular material surface temperature is flattened. The degree distribution flattening diagram is fed back (transmitted via a data cable or a communication cable) to the centralized control unit 102, which screens and processes the received information, and at the same time compares the displacement signal detected by the displacement detection unit 104 and processed by the data acquisition unit 105 (according to a certain scanning cycle, the signal detected by the angular displacement encoder or the rotation angle sensor in the displacement detection unit 104 is collected), adjusts the production process control, and transmits the control signal to the feeding execution unit 107 (the control signal is transmitted to the feeding execution unit 107 composed of the impeller feeder, the vertical furnace distributor, etc.) through the instruction output unit 106 to complete the feeding action.

[0033] In the present application, the relevant information includes: temperature alarm value setting, required charging temperature value setting, vertical furnace rotation speed and annular material surface height.

[0034] In the present application, preferably, the process of stitching the annular material surface temperature distribution flattened map includes the following steps: material surface image processing process and material surface temperature image stitching process. Specifically, the material surface image processing process includes the following steps:

[0035] The infrared digital image detail enhancement technology is used. The original target information is analyzed with a high-speed processor, and the background layer (low-frequency part) and detail layer (high-frequency part) of the image are separated with a special filter to extract the distribution of useful grayscale information and useless grayscale information. The useful grayscale information distribution and useless grayscale information are compressed to enhance the details of the image while retaining the dynamic range.

[0036] The on-site temperature measurement area is divided according to the actual installation points of the on-site probes (in this application, the entire annular material surface of the vertical furnace is divided into six parts, and the material surface is fully covered by six cameras), and multiple real-time full-radiation thermal images are obtained within a rotation cycle, and the temperature rise trend of the entire screen or specific area of ​​the thermal image is automatically analyzed (the annular material surface temperature is the surface temperature, and the material surface temperature is measured. The longitudinal temperature measurement and longitudinal analysis method are used to compare the data of the same indicator at different time points and analyze its changing trend over time), so as to discover high-temperature areas requiring feeding in advance.

[0037] Furthermore, the material surface temperature image stitching process includes the following steps:

[0038] Find the feature points of the images to be stitched by Fourier's phase correlation method or feature-based methods in the spatial domain, use the Harris corner points, and then use grayscale correlation plus relaxed matching to find the corresponding points;

[0039] Through the gradient direction of the feature points, a set of optimal feature matches is determined. This set of data is used to give the estimated initial value of the transformation matrix between the two images. Then a recursive algorithm is used to find the final precise transformation relationship. Through pixel layer fusion technology, the stitching of multiple thermal images is completed.

[0040] The present invention also includes an annular material surface automatic feeding system for an industrial kiln based on infrared thermal imaging, comprising:

[0041] Infrared thermal imaging unit 101, centralized control unit 102, central control operation unit 103, displacement detection unit 104, data acquisition unit 105, instruction output unit 106 and feeding execution unit 107;

[0042] The infrared thermal imaging unit 101 detects the relevant information of the annular material surface during the rotation period of the vertical furnace, performs logical processing on the relevant information, and then transmits the processed real-time information to the central control operation unit 103 for the process operator to view; the centralized control unit 102 receives the control instructions sent by the central control operation unit 103, and completes the two-way data communication with the central control operation unit 103; the centralized control unit 102 sends the control instructions and setting parameters to the infrared thermal imaging unit 101 for parameter comparison and data analysis; the infrared thermal imaging unit 101 detects After data processing and analysis, the data are spliced ​​into a flattened diagram of the temperature distribution of the annular material surface, and the flattened diagram of the temperature distribution of the annular material surface is fed back to the centralized control unit 102. The centralized control unit 102 screens and processes the received information, and at the same time compares the displacement signal detected by the displacement detection unit 104 and processed by the data acquisition unit 105, adjusts the production process control, and transmits the control signal to the feeding execution unit 107 (the control signal is transmitted to the feeding execution unit 107 composed of the impeller feeder, the vertical furnace distributor, etc.) through the instruction output unit 106 to complete the feeding action.

[0043] In the present application, the infrared thermal imaging unit 101 includes: an image detection and analysis unit 101-1, an algorithm model unit 101-2 and a data output unit 101-3. In this embodiment, the infrared thermal imaging unit is composed of a high-temperature pinhole infrared thermal imager, a high-temperature resistant probe cover, a field control cabinet, and data analysis software at the vertical furnace production site. The infrared thermal imaging unit 101 integrates optoelectronic technology, infrared detection technology, infrared image processing technology, and infrared system protection technology under harsh conditions, and has the characteristics of fast temperature measurement speed, high temperature resolution, wide measurement range, and intuitive image. It can generally be deployed as a local server, and the network is configured in the upper-level terminal bus of the central processing controller hardware, and is independent of the production process control factory network. The infrared thermal imaging unit 101 is used for the detection and analysis of the annular material surface image data, the algorithm and generation and storage of the high-temperature area distribution model, and the result information data interacts in real time with the centralized control unit 102 and the central control operation unit 103 on the terminal bus to achieve the purpose of real-time display and automatic control. This unit is an open system that combines hardware and software. Its intuitive integrated factory function is used for image information acquisition, processing and data exchange, while completing the reference data output of automatic control, and realizing the intelligent use of data on the basis of the factory. The server is based on open industrial Ethernet communication, compatible with a variety of Ethernet communication protocols, and supports TCP, I-Device, S7-Routing and other communication protocols. It can easily connect the data processing and splicing algorithm results of this unit to the industrial intelligent control system.

[0044] Taking the vertical furnace as an example, the annular material surface automatic feeding technology based on infrared thermal imaging detection is developed. The infrared thermal imaging unit 101 reads the data of the vertical furnace production process in the centralized control unit 102: temperature alarm value setting, required feeding temperature value setting, vertical furnace rotation speed, annular material surface height and other signals, and combines each infrared thermal imaging probe to collect the material surface image and temperature data in real time. After detecting that a vertical furnace rotation cycle is met, the annular material surface thermal imaging splicing flattening map is automatically generated, and further logical processing can be performed on this map, such as high temperature marking, alarm marking, etc. The high-temperature area to be fed is accurately fed back to the control system to provide a reference point for the automatic feeding operation. With full reference to the output results of the infrared thermal imaging unit, the material surface image processing and the material surface splicing algorithm are combined, and the data results and reference instructions are output by analyzing the data and generating an image model to guide the automatic control of the subsequent feeding mechanism.

[0045] The material surface image processing is realized by the image detection and analysis unit 101-1. The infrared digital image detail enhancement (DDE) technology is adopted, and the original target information is first analyzed by a high-speed processor, and the background layer (low-frequency part) and detail layer (high-frequency part) of the image are separated by a special filter, and the useful grayscale information distribution and the useless grayscale information distribution are extracted, and then the useless information grayscale is compressed at a large scale, and the useful information grayscale is compressed or even stretched at a small scale. Under the premise of retaining the dynamic range, the details of the image are greatly enhanced, and an image with rich layers close to the actual level is obtained. According to the reasonable division of the on-site temperature measurement area according to the actual installation point of the on-site probe, multiple real-time full-radiation thermal images can be obtained within a rotation cycle, and the temperature rise trend of the entire screen or specific area of ​​the thermal image can be automatically analyzed to find the high-temperature area where material needs to be added in advance.

[0046] The algorithm model unit 101-2 uses Fourier's phase correlation method or a feature-based method in the spatial domain to find the feature points of the image to be spliced, uses the HARRIS corner point, and then uses grayscale correlation plus relaxation matching to find the corresponding points. The effect is obvious when the overlapping area of ​​the two images is large and the perspective deformation is small. It is also possible to determine a set of optimal feature matches through information such as the gradient direction of the feature points, use this set of data to give an estimated initial value of the transformation matrix between the two images, and then use a recursive algorithm to find the final accurate transformation relationship, and use pixel layer fusion technology to complete the splicing of multiple thermal images.

[0047] Preferably, the centralized control unit 102: performs logic processing on the signals collected from the infrared thermal imaging unit 101, and then transmits the processed real-time information to the central control operation unit 103 for the process operator to view, and receives the control instructions sent by the central control operation unit 103 to enter the logic control of the centralized control unit 102, completes the two-way data communication with the central control operation unit 103, and achieves true human-machine friendly interaction; the centralized control unit 102 sends the control instructions and setting parameters to the infrared thermal imaging unit 101 for parameter comparison and data analysis. After the infrared thermal imaging unit 101 processes and analyzes the large amount of data detected, it splices it into complete periodic reference data through the algorithm and feeds it back to the centralized control unit 102. The centralized control unit 102 screens and processes the received reference data, alarm information, etc., and compares the displacement signal detected by the displacement detection unit 104 and processed by the data acquisition unit 105, adjusts the production process control, and transmits the control signal to the feeding execution unit 107 through the instruction output unit 106, completing the final real feeding action of the on-site equipment.

[0048] In the present application, the central control operation unit 103 displays, alarms and controls the information received from the centralized control unit 102 in real time, and sends the control instructions of the process operator to the centralized control unit 102 to complete human-computer interaction.

[0049] In the present application, the displacement detection unit 104 senses and detects the displacement data parameters within the rotation period of the vertical furnace during the production process, and converts the detected signal into an electrical signal according to a certain rule for output.

[0050] In the present application, the data acquisition unit 105 acquires the electrical signal output by the displacement detection unit 104 according to a certain scanning period and then outputs the acquired data to the centralized control unit 102 .

[0051] In the present application, the instruction output unit 106: receives the control instruction issued by the centralized control unit 102 in real time, and converts the information into a physical signal and transmits it to the feeding execution unit 107;

[0052] In the present application, the charging execution unit 107 receives the physical signal sent by the instruction output unit 106 to complete the charging operation in the vertical furnace production process.

[0053] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages and disadvantages of the embodiments. In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments. In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways.

[0054] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An automatic feeding method for the annular material surface of an industrial kiln based on infrared thermal imaging, It is characterized in that The following steps are involved: The infrared thermal imaging unit (101) detects relevant information of the annular material surface during the rotation period of the vertical furnace, performs logical processing on the relevant information, and then transmits the processed real-time information to the central control operation unit (103) for viewing by process operators; the centralized control unit (102) receives control instructions sent by the central control operation unit (103) to complete two-way data communication with the central control operation unit (103); the centralized control unit (102) sends control instructions and setting parameters to the infrared thermal imaging unit (101) for parameter comparison and data analysis; The infrared thermal imaging unit (101) processes and analyzes the detected data, splices them into a flattened diagram of the temperature distribution of the annular material surface, and feeds the flattened diagram of the temperature distribution of the annular material surface back to the centralized control unit (102). The centralized control unit (102) screens and processes the received information, and at the same time compares the displacement signal detected by the displacement detection unit (104) and processed by the data acquisition unit (105), adjusts the production process control, and transmits the control signal to the feeding execution unit (107) through the instruction output unit (106), thereby completing the feeding action.

2. According to claim 1, a method for automatically feeding the annular material surface of an industrial kiln based on infrared thermal imaging, It is characterized in that The related information includes: temperature alarm value setting, required charging temperature value setting, vertical furnace rotation speed and annular material surface height.

3. According to claim 1, a method for automatically feeding the annular material surface of an industrial kiln based on infrared thermal imaging, It is characterized in that The process of splicing the material surface temperature distribution flattened image into an annular shape includes the following steps: a material surface image processing process and a material surface temperature image splicing process.

4. According to claim 3, a method for automatically feeding annular material surface of an industrial kiln based on infrared thermal imaging, It is characterized in that The material surface image processing process comprises the following steps: The infrared digital image detail enhancement technology is used. The original target information is analyzed with a high-speed processor, and the background layer (low-frequency part) and detail layer (high-frequency part) of the image are separated with a special filter to extract the distribution of useful grayscale information and useless grayscale information. The useful grayscale information distribution and useless grayscale information are compressed to enhance the details of the image while retaining the dynamic range. The on-site temperature measurement area is divided according to the actual installation points of the on-site probes, and multiple real-time full-radiation thermal images are displayed within a rotation cycle. The temperature rise trend of the entire thermal image or a specific area is automatically analyzed to detect high-temperature areas that need to be added in advance.

5. According to claim 3, a method for automatically feeding annular material surface of an industrial kiln based on infrared thermal imaging, It is characterized in that The material surface temperature image stitching process comprises the following steps: Find the feature points of the images to be stitched by Fourier's phase correlation method or feature-based methods in the spatial domain, use the Harris corner points, and then use grayscale correlation plus relaxed matching to find corresponding points; Through the gradient direction of the feature points, a set of optimal feature matches is determined. This set of data is used to give the estimated initial value of the transformation matrix between the two images. Then a recursive algorithm is used to find the final precise transformation relationship. Through pixel layer fusion technology, the stitching of multiple thermal images is completed.

6. An automatic feeding system for annular material surface of an industrial kiln based on infrared thermal imaging, using the method described in any one of claims 1 to 5, It is characterized in that include: Infrared thermal imaging unit (101), centralized control unit (102), central control operation unit (103), displacement detection unit (104), data acquisition unit (105), instruction output unit (106) and feeding execution unit (107); The infrared thermal imaging unit (101) detects relevant information of the annular material surface during the rotation period of the vertical furnace, performs logical processing on the relevant information, and then transmits the processed real-time information to the central control operation unit (103) for viewing by process operators; the centralized control unit (102) receives control instructions sent by the central control operation unit (103) to complete two-way data communication with the central control operation unit (103); the centralized control unit (102) sends control instructions and setting parameters to the infrared thermal imaging unit (101) for parameter comparison and data analysis; The infrared thermal imaging unit (101) processes and analyzes the detected data, splices them into a flattened diagram of the temperature distribution of the annular material surface, and feeds the flattened diagram of the temperature distribution of the annular material surface back to the centralized control unit (102). The centralized control unit (102) screens and processes the received information, and at the same time compares the displacement signal detected by the displacement detection unit (104) and processed by the data acquisition unit (105), adjusts the production process control, and transmits the control signal to the feeding execution unit (107) through the instruction output unit (106), thereby completing the feeding action.

7. The automatic feeding system for the annular material surface of an industrial kiln based on infrared thermal imaging according to claim 6, It is characterized in that The infrared thermal imaging unit (101) comprises: an image detection and analysis unit (101-1), an algorithm model unit (101-2) and a data output unit (101-3).

8. The automatic feeding system for the annular material surface of an industrial kiln based on infrared thermal imaging according to claim 6, It is characterized in that The displacement detection unit (104) senses and detects the displacement data parameters within the rotation period of the shaft furnace during the production process, and converts the detected signals into electrical signals according to a certain rule for output.

9. The automatic feeding system for the annular material surface of an industrial kiln based on infrared thermal imaging according to claim 6, It is characterized in that The central control operation unit (103) performs real-time display, alarm and control of the information received from the centralized control unit (102), and sends the control instructions of the process operator to the centralized control unit (102).

10. The automatic feeding system for the annular material surface of an industrial kiln based on infrared thermal imaging according to claim 6, It is characterized in that The data acquisition unit (105) acquires the electrical signal output by the displacement detection unit (104) according to a certain scanning cycle and then outputs the acquired data to the centralized control unit (102).

Images