Belt pelletizing parameter dynamic tracking method, device and related equipment

Abstract

The application provides a belt type pellet roasting parameter dynamic tracking method and device and related equipment, relates to the metallurgical industry manufacturing and informatization technical field, and first collects the operation parameters of the belt type roaster at detection points, wherein the operation parameters include roasting parameters and machine speeds at each detection time; then, based on the positions of the detection points and the machine speeds at each detection time, the target detection time when the pellets arrive at the detection points is determined; further, the roasting parameters and the machine speeds at the target detection time are extracted and recorded. The application can realize dynamic tracking of the pellets after entering the belt type roaster, has very important significance for optimizing and stabilizing process parameters and improving production management and control ability.

Description

Technical Field

[0001] This invention relates to the field of manufacturing and information technology in the metallurgical industry, and more specifically, to a method, apparatus and related equipment for dynamic tracking of parameters in belt pellet roasting. Background Technology

[0002] Many domestic pelleting and processing enterprises have gradually begun to adopt group processing technology, shifting from large-scale, mass production to refined, modular production. The main characteristic of group processing is that different processing methods and techniques are used to process different pellet raw materials separately, achieving stable dynamic production, improving product quality, and reducing emissions and losses. Belt roasting pelletizing is currently one of the fastest-growing and most mature advanced pelleting production technologies in China. Compared to other pelleting production processes, the roasting process integrates drying, preheating, roasting, and cooling into one unit, completed on a single machine. This increases the correlation of control parameters and the difficulty of control.

[0003] In order to overcome the variability of manual control and stabilize the production process, how to accurately and dynamically track the parameters of belt pellet roasting during production has become an urgent problem to be solved. Summary of the Invention

[0004] In view of this, to solve the above problems, the present invention provides a method, apparatus, and related equipment for dynamic tracking of roasting parameters of belt pellets, the technical solution of which is as follows:

[0005] A method for dynamically tracking the roasting parameters of belt pellets, the method comprising:

[0006] The operating parameters of the belt roaster at the detection points are collected, including the roasting parameters and machine speed at each detection time.

[0007] Based on the location of the detection point and the machine speed at each detection time, the target detection time when the pellet arrives at the detection point is determined;

[0008] Extract and record the calcination parameters and machine speed at the target detection time.

[0009] Preferably, the detection point is located in a designated process section of the belt roaster, and the collection of operating parameters of the belt roaster at the detection point includes:

[0010] The operating parameters of the specified process section returned by the detection point are collected. The specified process section includes one or more of the following: forced air drying section, exhaust drying section, preheating section, calcination section, homogenization section, first cooling section and second cooling section.

[0011] Preferably, the calcination parameters of the blower drying section include the wind box pressure, wind box temperature, left and right furnace hood pressure, left and right furnace hood temperature, and blower frequency.

[0012] The calcination parameters of the exhaust drying section include the air box pressure, air box temperature, left and right furnace hood pressure, left and right furnace hood temperature, main exhaust fan frequency, and air box valve opening.

[0013] The calcination parameters of the preheating section include wind box pressure, wind box temperature, left and right furnace hood pressure, left and right furnace hood temperature, main exhaust fan frequency, and wind box valve opening.

[0014] The roasting parameters of the roasting section include wind box pressure, wind box temperature, left and right furnace hood pressure, left and right furnace hood temperature, main exhaust fan frequency, regenerating fan frequency, and wind box valve opening.

[0015] The calcination parameters of the homogenizing section include the wind box pressure, wind box temperature, left and right furnace hood temperatures, and regenerating fan frequency.

[0016] The calcination parameters of the first cold section include the wind box pressure, the pressure of the left and right furnace hoods, the temperature of the left and right furnace hoods, the frequency of the cooling fan, and the opening degree of the wind box valve.

[0017] The roasting parameters of the second cooling section include the wind box pressure, the pressure of the left and right furnace hoods, the temperature of the left and right furnace hoods, the frequency of the cooling fan, and the opening degree of the wind box valve.

[0018] Preferably, determining the target detection time when the pellet arrives at the detection point based on the location of the detection point and the machine speed at each detection time includes:

[0019] The first distance between the detection point and the inlet of the belt roaster is determined based on the location of the detection point;

[0020] The detection frequency of the detection point is obtained, and the second distance between the pellet and the inlet of the belt roaster is calculated at each detection time using the detection frequency and the machine speed at each detection time.

[0021] By comparing the first distance with the second distance at each detection time, the detection time at which the second distance is closest to the first distance is taken as the target detection time.

[0022] A belt pellet roasting parameter dynamic tracking device, the belt pellet roasting parameter dynamic tracking device comprising:

[0023] The parameter acquisition module is used to acquire the operating parameters of the belt roaster at the detection point. The operating parameters include the roasting parameters and machine speed at each detection time.

[0024] The parameter tracking module is used to determine the target detection time when the pellets arrive at the detection point based on the location of the detection point and the machine speed at each detection time; extract the roasting parameters and machine speed at the target detection time, and record them.

[0025] Preferably, the detection point is located in a designated process section of the belt roaster, and the parameter acquisition module is specifically used for:

[0026] The operating parameters of the specified process section returned by the detection point are collected. The specified process section includes one or more of the following: forced air drying section, exhaust drying section, preheating section, calcination section, homogenization section, first cooling section and second cooling section.

[0027] Preferably, the calcination parameters of the blower drying section include the wind box pressure, wind box temperature, left and right furnace hood pressure, left and right furnace hood temperature, and blower frequency.

[0028] The calcination parameters of the exhaust drying section include the air box pressure, air box temperature, left and right furnace hood pressure, left and right furnace hood temperature, main exhaust fan frequency, and air box valve opening.

[0029] The calcination parameters of the preheating section include wind box pressure, wind box temperature, left and right furnace hood pressure, left and right furnace hood temperature, main exhaust fan frequency, and wind box valve opening.

[0030] The roasting parameters of the roasting section include wind box pressure, wind box temperature, left and right furnace hood pressure, left and right furnace hood temperature, main exhaust fan frequency, regenerating fan frequency, and wind box valve opening.

[0031] The calcination parameters of the homogenizing section include the wind box pressure, wind box temperature, left and right furnace hood temperatures, and regenerating fan frequency.

[0032] The calcination parameters of the first cold section include the wind box pressure, the pressure of the left and right furnace hoods, the temperature of the left and right furnace hoods, the frequency of the cooling fan, and the opening degree of the wind box valve.

[0033] The roasting parameters of the second cooling section include the wind box pressure, the pressure of the left and right furnace hoods, the temperature of the left and right furnace hoods, the frequency of the cooling fan, and the opening degree of the wind box valve.

[0034] Preferably, the parameter tracking module for determining the target detection time when the pellet arrives at the detection point based on the location of the detection point and the machine speed at each detection time is specifically used for:

[0035] The first distance between the detection point and the inlet of the belt roaster is determined based on the location of the detection point; the detection frequency of the detection point is obtained, and the second distance between the pellet and the inlet of the belt roaster at each detection time is calculated using the detection frequency and the machine speed at each detection time; by comparing the first distance with the second distance at each detection time, the detection time with the second distance closest to the first distance is taken as the target detection time.

[0036] An electronic device includes: at least one memory and at least one processor; the memory stores an application program, and the processor calls the application program stored in the memory, the application program being used to implement the dynamic tracking method for belt pellet roasting parameters.

[0037] A storage medium storing computer program code, which, when executed, implements the dynamic tracking method for roasting parameters of belt pellets.

[0038] Compared with the prior art, the beneficial effects achieved by the present invention are as follows:

[0039] This invention provides a method, apparatus, and related equipment for dynamic tracking of belt pellet roasting parameters. First, the operating parameters of the belt roaster at detection points are collected, including roasting parameters and machine speed at each detection time. Then, based on the location of the detection points and the machine speed at each detection time, the target detection time for the pellets to reach the detection points is determined. Further, the roasting parameters and machine speed at the target detection time are extracted and recorded. This invention enables dynamic tracking of pellets after they enter the belt roaster, which is of great significance for optimizing and stabilizing process parameters and improving production management and control capabilities. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0041] Figure 1 This is a flowchart of the method for dynamically tracking the roasting parameters of belt pellets provided in an embodiment of the present invention;

[0042] Figure 2 This is an example diagram of the deployment of detection points in a belt roaster provided in an embodiment of the present invention;

[0043] Figure 3 This is a partial flowchart of the method for dynamically tracking the roasting parameters of belt pellets provided in an embodiment of the present invention;

[0044] Figure 4 This is a schematic diagram of the structure of the belt pellet roasting parameter dynamic tracking device provided in an embodiment of the present invention. Detailed Implementation

[0045] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0046] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0047] This invention discloses a method, device, and related equipment for dynamic tracking of belt pellet roasting parameters. It belongs to the field of automation and intelligentization of belt roasting pellet manufacturing in the metallurgical industry and is applicable to the technical transformation and related applications of automatic tracking, data analysis, process simulation, and intelligent control of the production process of belt roasting pellets.

[0048] See Figure 1 , Figure 1 This is a flowchart illustrating the method for dynamically tracking the roasting parameters of belt pellets provided in an embodiment of the present invention. Figure 1 As shown, the method for dynamically tracking the roasting parameters of belt pellets includes the following steps:

[0049] S10 collects the operating parameters of the belt roaster at the detection point. The operating parameters include the roasting parameters and machine speed at each detection time.

[0050] In this embodiment of the invention, after the green pellets enter the belt roaster, the operating parameters of the belt roaster at the corresponding detection points can be detected by the detection points pre-deployed on the belt roaster. The operating parameters detected at each detection point include the roasting parameters at different detection times and the speed of the belt roaster. The speed detected at different detection points at the same detection time is the same.

[0051] In practical applications, the belt calciner process flow includes a forced-air drying section (air is blown from bottom to top of the material layer), a forced-air drying section (air is drawn from top to bottom of the material layer), a preheating section (FeO oxidation reaction), a calcination section (remaining FeO oxidation reaction), a homogenization section (recrystallization / stress and strength), a first cooling section (cooling and oxidation reaction), and a second cooling section (cooling down). Therefore, testing points can be deployed in designated process sections of the belt calciner according to actual needs; the number of testing points can also be set according to actual requirements.

[0052] Therefore, step S10, "collecting the operating parameters of the belt roaster at the detection point," can be performed as follows:

[0053] The system collects and detects the operating parameters of a specified process section returned by the detection points. The specified process section includes one or more of the following: forced-air drying section, exhaust drying section, preheating section, calcination section, homogenization section, first cooling section, and second cooling section.

[0054] See Figure 2 , Figure 2 This is an example diagram illustrating the deployment of detection points in a belt roaster provided in an embodiment of the present invention. Figure 2 As shown, in some application scenarios, different numbers of detection points can be deployed in each of the following process sections: forced-air drying section, exhaust drying section, preheating section, calcination section, homogenization section, first cooling section, and second cooling section. Specifically, the forced-air drying section has detection points labeled 1# and 2#; the exhaust drying section has detection points labeled 3# and 4#; the preheating section has detection points labeled 5#, 6#, and 7#; the calcination section has detection points labeled 8#, 9#, 10#, 11#, and 12#; the homogenization section has detection points labeled 13# and 14#; the first cooling section has detection points labeled 15#, 16#, 17#, 18#, 19#, and 20#; and the second cooling section has detection points labeled 21# and 22#. These detection points in each process section can be used to monitor the calcination parameters and machine speed of that section.

[0055] It should be noted that, Figure 2 The number and location of the detection points deployed in each process segment are for illustrative purposes only. In practical applications, the process segment where detection points are deployed, as well as the location and number of detection points, can be selected according to actual needs. This embodiment of the invention does not limit this.

[0056] The roasting parameters for the forced-air drying section include wind box pressure, wind box temperature, left and right furnace hood pressure, left and right furnace hood temperature, and forced-air blower frequency; the roasting parameters for the exhaust drying section include wind box pressure, wind box temperature, left and right furnace hood pressure, left and right furnace hood temperature, main exhaust fan frequency, and wind box valve opening; the roasting parameters for the preheating section include wind box pressure, wind box temperature, left and right furnace hood pressure, left and right furnace hood temperature, main exhaust fan frequency, and wind box valve opening; the roasting parameters for the calcination section include wind box pressure, The parameters for roasting in the soaking section include: wind box temperature, left and right furnace hood pressure, left and right furnace hood temperature, main exhaust fan frequency, regenerating fan frequency, and wind box valve opening. The parameters for roasting in the first cooling section include: wind box pressure, left and right furnace hood pressure, left and right furnace hood temperature, cooling fan frequency, and wind box valve opening. The parameters for roasting in the second cooling section include: wind box pressure, left and right furnace hood pressure, left and right furnace hood temperature, cooling fan frequency, and wind box valve opening.

[0057] See Table 1 below, which records the parameter information of the detection points. Specifically, the field name is the name of the stored field, the description is the description information of the field, and the type is the storage type of the field value. Taking the detection point identified as 1# as an example, its field name is "Posil1", the description "1# detection point location (3)" indicates that the distance between the location of the detection point identified as 1# and the inlet of the belt roaster is 3 (unit customizable), and the type "Number (3,2)" indicates that the storage type is character type and the value is 3 decimal places before the decimal point and 2 decimal places after the decimal point.

[0058] Table 1

[0059] Posi1 Location of detection point #1 (3) Number(3,2) Posi2 Location of detection point #2 (9) Number(3,2) Posi3 Location of detection point #3 (15) Number(3,2) Posi4 Location of detection point #4 (21) Number(3,2) Posi5 Location of detection point #5 (27) Number(3,2) Posi6 Location of detection point #6 (33) Number(3,2) Posi7 Location of testing point #7 (39) Number(3,2) Posi8 Location of detection point #8 (45) Number(3,2) Posi9 Location of testing point #9 (51) Number(3,2) Posi10 Location of testing point #10 (57) Number(3,2) Posi11 Location of testing point #11 (63) Number(3,2) Posi12 Location of testing point #12 (69) Number(3,2) Posi13 Location of testing point #13 (75) Number(3,2) Posi14 Location of testing point #14 (79.5) Number(3,2) Posi15 Location of testing point #15 (82.5) Number(3,2) Posi16 Location of testing point #16 (87) Number(3,2) Posi17 Location of testing point #17 (93) Number(3,2) Posi18 Location of testing point #18 (99) Number(3,2) Posi19 Location of testing point #19 (105) Number(3,2) Posi20 Location of testing point #20 (111) Number(3,2) Posi21 Location of testing point #21 (117) Number(3,2) Posi22 Location of testing point #22 (123) Number(3,2)

[0060] See Table 2 below. Table 2 records the operating parameters of the process section returned by the detection point. Specifically, the field name is the name of the stored field, the description is the field description information, and the type is the storage type of the field value. As shown in Table 2, the field name "timestamp" is described as "detection time" and the type is "...". Datetime" indicates that the storage type is time-based; field names "Pt10101" to "Pt10122" represent the bellows pressure at 22 detection points. Taking field name "Pt10101" as an example, its description "1# bellows pressure" represents the bellows pressure at detection point 1#, and its type "Number(4)" indicates that the storage type is character-based and the value is the first 4 decimal places; field names "Te10101" to "Te10114" represent the bellows temperature at 14 detection points. Taking field name "Te10101" as an example, its description "1# bellows temperature" represents the bellows temperature at detection point 1#, and its type "Number(4)" indicates that the storage type is character-based and the value is the first 4 decimal places. The type is character and the value is the first 4 decimal places; the field names "Pt10123" to "Pt10133" represent the left and right furnace hood pressures at 11 detection points. Taking the field names "Pt10123a" and "Pt10123b" as examples, the description of "Pt10123a" "furnace hood pressure a(2#) in the blast drying section" represents the pressure of the left furnace hood at the detection point marked 2# in the blast drying section, and its type "Number(4)" indicates that the storage type is character and the value is the first 4 decimal places. The description of "Pt10123b" "furnace hood pressure b(2#) in the blast drying section" represents the pressure of the right furnace hood at the detection point marked 2# in the blast drying section, and its type " "Number(4)" indicates that the storage type is character and the value is the first 4 decimal places; the field names "Te101115" to "Te1011133" represent the left and right furnace hood temperatures at 18 detection points. Taking the field names "Te101115a" and "Te101115b" as examples, the description of "Te101115a" "furnace hood temperature a(1#)" represents the temperature of the left furnace hood at the detection point marked 1# in the blast drying section. Its type "Number(4)" indicates that the storage type is character and the value is the first 4 decimal places. The description of "Te101115b" "furnace hood temperature b(1#)" represents the temperature of the left furnace hood at the detection point marked 1# in the blast drying section. The temperature of the right furnace hood at the detection point marked 1#; the field name "Updry_fan" is described as "drying fan frequency (1~2#)" which means the frequency of the drying fan at the detection points marked 1# and 2#, and its type "Number(2,2)" means that the storage type is character and the value is two decimal places before the point and two decimal places after the point; the field name "downdry_fan" is described as "main exhaust fan frequency (3~9#)" which means the frequency of the main exhaust fan at the detection points marked 3#, 4#, 5#, 6#, 7#, 8# and 9#, and its type "Number(2,2)" means that the storage type is character and the value is two decimal places before the point and two decimal places after the point;The field name "Rechot_fan" is described as "Regenerative Fan Frequency (10~14#)", representing the frequency of the drying fans at detection points identified as 10#, 11#, 12#, 13#, and 14#. Its type "Number(2,2)" indicates that the storage type is character, and the value is taken as two decimal places. The field name "Cold_fan" is described as "Cooling Fan Frequency (15~22#)", representing the frequency of the drying fans at detection points identified as 15#, 16#, 17#, 18#, 19#, 20#, 21#, and 22#. Its type "Number(2,2)" indicates that the storage type is character, and the value is taken as two decimal places. The field names "box_valve1" to "box_valve8" represent the opening degree of the bellows valves at the eight detection points. Taking "box_valve1" as an example, its description "3# bellows valve opening degree" indicates the opening degree of the bellows valve at detection point 3. Its type "Number(3,1)" indicates that the storage type is character, and the value is taken as 3 decimal places and 1 decimal place. The field name "speed_calcin" is described as "machine speed," indicating the machine speed of the belt roaster detected at each detection point. Its type "Number(3,1)" indicates that the storage type is character, and the value is taken as 3 decimal places and 1 decimal place.

[0061] Table 2

[0062]

[0063]

[0064]

[0065]

[0066] S20, based on the location of the detection point and the machine speed at each detection time, determines the target detection time when the pellet arrives at the detection point.

[0067] In this embodiment of the invention, based on the location of the detection point and the machine speed at each detection time, the time required for the pellet to travel from entering the belt roaster to the detection point can be calculated, thereby determining the time when the pellet arrives at the detection point. This time can be one of the detection times, namely the target detection time.

[0068] In the specific implementation process, step S20, "determining the target detection time when the pellet arrives at the detection point based on the location of the detection point and the machine speed at each detection time," can be implemented using the following steps, as shown in the flowchart below. Figure 3 As shown, it includes:

[0069] S201, determine the first distance between the detection point and the inlet of the belt roaster based on the location of the detection point.

[0070] S202, obtain the detection frequency of the detection point, and use the detection frequency and the machine speed at each detection time to calculate the second distance between the pellet and the inlet of the belt roaster at each detection time.

[0071] S203, by comparing the first distance with the second distance at each detection time, the detection time with the closest second distance to the first distance is taken as the target detection time.

[0072] In this embodiment of the invention, for each detection point deployed in the belt roaster, the distance between the detection point and the inlet of the belt roaster, i.e., the first distance, can be determined based on the location of the detection point.

[0073] Furthermore, based on the detection frequency of the detection points, the interval t between two consecutive detections can be determined, and the distance traveled by the pellets from entering the belt roaster at different detection times, i.e., the second distance, can be calculated according to the following formula (1):

[0074]

[0075] In other words, the second distance s(t) at detection time t is equal to the sum of the machine speed v and the interval time Δt at n detection times (including n-1 detection times earlier than detection time t and detection time t).

[0076] Furthermore, by comparing the first distance with the second distance at each detection time, the detection time that is closest to the second distance and the first distance is taken as the detection time when the ball arrives at the detection point, i.e., the target detection time.

[0077] S30: Extract and record the calcination parameters and machine speed under the target detection time.

[0078] In this embodiment of the invention, for each detection point deployed in the belt calciner, after determining the target detection time for the pellets to reach that detection point, the calcination parameters and machine speed at that detection point during the target detection time can be extracted and recorded in a table in the calcination tracking parameter library. This allows for dynamic tracking of the process parameters when the pellets reach different detection points.

[0079] Based on the above description, the dynamic tracking method for belt pellet roasting parameters provided by this invention can be applied to the production of high-end products in a process-oriented manufacturing model. This invention is based on process flow relationship analysis and pattern exploration → characteristic acquisition → parameter configuration → model calculation → result application. It combines actual production data and model methods to form a rule library for marking and classifying detection points, a roasting tracking parameter library, and a standard roasting tracking process. By calling the rule library for marking and classifying detection points, characteristic markers representing the pellet roasting process can be obtained, and the corresponding dynamic tracking result data can be matched with the roasting detection point location parameter library. The dynamic tracking result data mainly includes the location of the detection point, machine speed, detection time, bellows pressure, bellows temperature, furnace hood pressure, furnace hood temperature, bellows valve opening, etc. This invention introduces more detailed marking and time / position calculations to achieve dynamic tracking that meets process analysis requirements, improving the enterprise's digital lean manufacturing and production level.

[0080] Based on the dynamic tracking method for belt pellet roasting parameters provided in the above embodiments, this invention provides a corresponding apparatus for executing the above dynamic tracking method for belt pellet roasting parameters. A schematic diagram of the structure of this dynamic tracking apparatus for belt pellet roasting parameters is shown below. Figure 4 As shown, it includes:

[0081] Parameter acquisition module 10 is used to acquire the operating parameters of the belt roaster at the detection point. The operating parameters include the roasting parameters and machine speed at each detection time.

[0082] The parameter tracking module 20 is used to determine the target detection time when the pellets arrive at the detection point based on the location of the detection point and the machine speed at each detection time; extract the roasting parameters and machine speed at the target detection time, and record them.

[0083] Optionally, the detection point is located in a designated process section of the belt roaster, and the parameter acquisition module 10 is specifically used for:

[0084] The system collects and detects the operating parameters of a specified process section returned by the detection points. The specified process section includes one or more of the following: forced-air drying section, exhaust drying section, preheating section, calcination section, homogenization section, first cooling section, and second cooling section.

[0085] Optional, the calcination parameters of the blower drying section include the wind box pressure, wind box temperature, left and right furnace hood pressure, left and right furnace hood temperature and blower frequency.

[0086] The calcination parameters of the exhaust drying section include the air box pressure, air box temperature, left and right furnace hood pressure, left and right furnace hood temperature, main exhaust fan frequency, and air box valve opening.

[0087] The calcination parameters of the preheating section include wind box pressure, wind box temperature, left and right furnace hood pressure, left and right furnace hood temperature, main exhaust fan frequency, and wind box valve opening.

[0088] The roasting parameters of the roasting section include wind box pressure, wind box temperature, left and right furnace hood pressure, left and right furnace hood temperature, main exhaust fan frequency, regenerating fan frequency, and wind box valve opening.

[0089] The roasting parameters of the homogenizing section include the wind box pressure, wind box temperature, left and right furnace hood temperatures, and regenerating fan frequency.

[0090] The roasting parameters of the first cold section include the wind box pressure, the pressure of the left and right furnace hoods, the temperature of the left and right furnace hoods, the frequency of the cooling fan, and the opening degree of the wind box valves;

[0091] The roasting parameters of the second cooling section include the wind box pressure, the pressure of the left and right furnace hoods, the temperature of the left and right furnace hoods, the frequency of the cooling fan, and the opening degree of the wind box valve.

[0092] Optionally, a parameter tracking module 20 is used to determine the target detection time when the pellet arrives at the detection point based on the location of the detection point and the machine speed at each detection time. Specifically, it is used for:

[0093] The first distance between the detection point and the inlet of the belt roaster is determined based on the location of the detection point; the detection frequency of the detection point is obtained, and the second distance between the pellet and the inlet of the belt roaster at each detection time is calculated using the detection frequency and the machine speed at each detection time; by comparing the first distance with the second distance at each detection time, the detection time with the second distance closest to the first distance is taken as the target detection time.

[0094] It should be noted that the detailed functions of each module in the embodiments of the present invention can be found in the corresponding disclosure of the above-mentioned embodiment of the dynamic tracking method for belt pellet roasting parameters, and will not be repeated here.

[0095] Based on the dynamic tracking method for roasting parameters of belt pellets provided in the above embodiments, this invention also provides an electronic device, which includes: at least one memory and at least one processor; the memory stores an application program, and the processor calls the application program stored in the memory, the application program being used to implement the dynamic tracking method for roasting parameters of belt pellets.

[0096] Based on the dynamic tracking method for belt pellet roasting parameters provided in the above embodiments, this invention also provides a storage medium storing computer program code, which implements the dynamic tracking method for belt pellet roasting parameters when executed.

[0097] The present invention provides a detailed description of a method, apparatus, and related equipment for dynamic tracking of roasting parameters of belt pellets. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

[0098] It should be noted that the various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0099] It should also be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that elements inherent to a process, method, article, or apparatus that comprises a list of elements, or elements inherent to such processes, methods, articles, or apparatus, are also included. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0100] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for dynamically tracking parameters in belt pellet roasting, characterized in that, The method for dynamically tracking the roasting parameters of belt pellets includes: The operating parameters of the belt roaster at the detection points are collected, including the roasting parameters and machine speed at each detection time. Based on the location of the detection point and the machine speed at each detection time, the target detection time when the pellet arrives at the detection point is determined; Extract and record the calcination parameters and machine speed at the target detection time; The step of determining the target detection time when the pellet arrives at the detection point based on the location of the detection point and the machine speed at each detection time includes: The first distance between the detection point and the inlet of the belt roaster is determined based on the location of the detection point; The detection frequency of the detection point is obtained, and the second distance between the pellet and the inlet of the belt roaster is calculated at each detection time using the detection frequency and the machine speed at each detection time. By comparing the first distance with the second distance at each detection time, the detection time at which the second distance is closest to the first distance is taken as the target detection time.

2. The method for dynamic tracking of roasting parameters of belt pellets according to claim 1, characterized in that, The detection point is located in a designated process section of the belt roaster, and the collection of operating parameters of the belt roaster at the detection point includes: The operating parameters of the specified process section returned by the detection point are collected. The specified process section includes one or more of the following: forced air drying section, exhaust drying section, preheating section, calcination section, homogenization section, first cooling section and second cooling section.

3. The method for dynamic tracking of roasting parameters of belt pellets according to claim 2, characterized in that, The calcination parameters of the blower drying section include the wind box pressure, wind box temperature, left and right furnace hood pressure, left and right furnace hood temperature, and blower frequency. The calcination parameters of the exhaust drying section include the air box pressure, air box temperature, left and right furnace hood pressure, left and right furnace hood temperature, main exhaust fan frequency, and air box valve opening. The calcination parameters of the preheating section include wind box pressure, wind box temperature, left and right furnace hood pressure, left and right furnace hood temperature, main exhaust fan frequency, and wind box valve opening. The roasting parameters of the roasting section include wind box pressure, wind box temperature, left and right furnace hood pressure, left and right furnace hood temperature, main exhaust fan frequency, regenerating fan frequency, and wind box valve opening. The calcination parameters of the homogenizing section include the wind box pressure, wind box temperature, left and right furnace hood temperatures, and regenerating fan frequency. The calcination parameters of the first cold section include the wind box pressure, the pressure of the left and right furnace hoods, the temperature of the left and right furnace hoods, the frequency of the cooling fan, and the opening degree of the wind box valve. The roasting parameters of the second cooling section include the wind box pressure, the pressure of the left and right furnace hoods, the temperature of the left and right furnace hoods, the frequency of the cooling fan, and the opening degree of the wind box valve.

4. A belt-type pellet roasting parameter dynamic tracking device, characterized in that, The belt pellet roasting parameter dynamic tracking device includes: The parameter acquisition module is used to acquire the operating parameters of the belt roaster at the detection point. The operating parameters include the roasting parameters and machine speed at each detection time. The parameter tracking module is used to determine the target detection time when the pellets arrive at the detection point based on the location of the detection point and the machine speed at each detection time; extract the roasting parameters and machine speed at the target detection time, and record them; The parameter tracking module, used to determine the target detection time when the pellet arrives at the detection point based on the location of the detection point and the machine speed at each detection time, is specifically used for: The first distance between the detection point and the inlet of the belt roaster is determined based on the location of the detection point; the detection frequency of the detection point is obtained, and the second distance between the pellet and the inlet of the belt roaster at each detection time is calculated using the detection frequency and the machine speed at each detection time; by comparing the first distance with the second distance at each detection time, the detection time with the second distance closest to the first distance is taken as the target detection time.

5. The belt pellet roasting parameter dynamic tracking device according to claim 4, characterized in that, The detection point is located in a designated process section of the belt roaster, and the parameter acquisition module is specifically used for: The operating parameters of the specified process section returned by the detection point are collected. The specified process section includes one or more of the following: forced air drying section, exhaust drying section, preheating section, calcination section, homogenization section, first cooling section and second cooling section.

6. The belt pellet roasting parameter dynamic tracking device according to claim 5, characterized in that, The calcination parameters of the blower drying section include the wind box pressure, wind box temperature, left and right furnace hood pressure, left and right furnace hood temperature, and blower frequency. The calcination parameters of the exhaust drying section include the air box pressure, air box temperature, left and right furnace hood pressure, left and right furnace hood temperature, main exhaust fan frequency, and air box valve opening. The calcination parameters of the preheating section include wind box pressure, wind box temperature, left and right furnace hood pressure, left and right furnace hood temperature, main exhaust fan frequency, and wind box valve opening. The roasting parameters of the roasting section include wind box pressure, wind box temperature, left and right furnace hood pressure, left and right furnace hood temperature, main exhaust fan frequency, regenerating fan frequency, and wind box valve opening. The calcination parameters of the homogenizing section include the wind box pressure, wind box temperature, left and right furnace hood temperatures, and regenerating fan frequency. The calcination parameters of the first cold section include the wind box pressure, the pressure of the left and right furnace hoods, the temperature of the left and right furnace hoods, the frequency of the cooling fan, and the opening degree of the wind box valve. The roasting parameters of the second cooling section include the wind box pressure, the pressure of the left and right furnace hoods, the temperature of the left and right furnace hoods, the frequency of the cooling fan, and the opening degree of the wind box valve.

7. An electronic device, characterized in that, The electronic device includes: at least one memory and at least one processor; the memory stores an application program, and the processor calls the application program stored in the memory, the application program being used to implement the dynamic tracking method for belt pellet roasting parameters as described in any one of claims 1-3.

8. A storage medium, characterized in that, The storage medium stores computer program code, which, when executed, implements the dynamic tracking method for roasting parameters of belt pellets as described in any one of claims 1-3.

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