Pellet rotary kiln prefabricated brick quality control system and method

By designing the quality control system for prefabricated bricks in the pellet rotary kiln, the surface status parameters of the prefabricated bricks are collected, cleaned and analyzed, and whether their quality is qualified, the problem of errors in the detection results in the existing technology is solved, and higher quality control and detection accuracy are achieved.

CN119617866APending Publication Date: 2025-03-14JIANGSU JIANAI HIGH TEMPERATURE MATERIAL +1
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Patent Information

Application Number
CN202411803188.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-10
Publication Date
2025-03-14

AI Technical Summary

Technical Problem

In the prior art, the quality detection technology of prefabricated silicon carbide bricks in pellet rotary kilns is relatively simple and has not been innovative for a long time, resulting in errors in the detection results and reducing the accuracy of quality detection.

Method used

A quality control system for prefabricated bricks of pellet rotary kiln is designed, including a collection layer, an analysis layer and an identification layer. The surface status parameters of the prefabricated bricks are collected through the perception module, and the cleaning module cleans the parameters. The analysis layer analyzes the standard achievement rate of the prefabricated bricks, and the identification layer identifies whether the brick quality is qualified.

Benefits of technology

It effectively improves the quality control of prefabricated silicon carbide bricks produced in the kiln during output, improves the accuracy of quality qualification judgment, avoids image analysis technology and brick mechanical performance detection process, and is faster to detect.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of prefabricated bricks, in particular to a pellet rotary kiln prefabricated brick quality control system and method, and the system comprises an acquisition layer, an analysis layer and an identification layer. In the output stage of the prefabricated bricks in the high-temperature kiln, surface state parameters of the prefabricated bricks are collected on the basis of the collection layer, the collected surface state parameters of the prefabricated bricks are synchronously cleaned, effective surface state parameters of the prefabricated bricks are obtained, and the analysis layer synchronously receives the effective surface state parameters of the prefabricated bricks obtained on the basis of data cleaning in the collection layer. The method comprises the following steps: acquiring state parameters of a silicon carbide prefabricated brick used by a pellet rotary kiln produced by a kiln in a specified sensing module, sniffing an effective prefabricated brick surface state parameter source, and further analyzing a prefabricated brick surface standard achievement rate based on the effective prefabricated brick surface state parameters. And the quality of the silicon carbide prefabricated bricks is identified, so that the quality control of the silicon carbide prefabricated bricks produced by the kiln during production is effectively improved.
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Description

Technical Field

[0001] The invention relates to the technical field of prefabricated bricks, and in particular to a quality control system and method for prefabricated bricks in a pelletizing rotary kiln. Background Art

[0002] Silicon carbide precast bricks are widely used in pelletizing rotary kilns. With its advantages of high hardness, good thermal conductivity and thermal stability, it is mostly used in places where materials are easily worn when entering and exiting and where efficient heat transfer is required. It can not only resist material friction loss, but also help to quickly transfer heat, optimize the thermal conditions of pellet roasting, and ensure efficient and stable operation of the rotary kiln.

[0003] A high-aluminum thermal insulation brick quality inspection device in the invention patent with application number 202310156445.8 includes a support seat, the top of the support seat is fixedly connected to a support frame, the top of the support frame is equipped with a first drive motor, the output end of the first drive motor is connected to a one-way threaded screw, and the one-way threaded screw is rotatably connected to the support frame, the top of the support frame is slidably connected to a slider, and the slider is sleeved on the outer wall of the one-way threaded screw, a first hydraulic cylinder is installed on the inner side of the slider, the output end of the first hydraulic cylinder is fixedly connected to a fixed block, the bottom end of the fixed block is equipped with a second hydraulic cylinder, and the second hydraulic cylinder A pressure block is installed at the bottom end, and the top end of the support seat is located below the pressure block and is fixedly connected to a rectangular frame, and a support plate is slidably connected to the inside of the rectangular frame. A third hydraulic cylinder is installed on the outer wall of one side of the rectangular frame, and the output end of the third hydraulic cylinder is fixedly connected to the support plate. A high-aluminum thermal insulation brick body is placed on the top of the support plate, and an auxiliary press extending to the outside of the rectangular frame is arranged inside the rectangular frame. Clamps are arranged on both sides of the high-aluminum thermal insulation brick body inside the rectangular frame, and a cover plate is arranged on the outer wall of one of the clamps, a shielding protection mechanism is arranged at the bottom end of the cover plate, and a cleaning auxiliary part is arranged on the inner side of the cover plate.

[0004] The application aims to solve the problem that "the prior art with announcement number CN215065901U can only perform one-time inspection on bricks, but because the external forces exerted on bricks during use are at different positions, the bricks are inspected at different positions, which leads to errors in the detection results, thereby reducing the accuracy of brick quality inspection; and when the bricks are undergoing quality inspection, there is no mechanism to limit the bricks, which causes the bricks to move when under pressure, thereby affecting the results of the brick quality inspection."

[0005] However, during the use of the pelletizing rotary kiln, the silicon carbide precast bricks, as a part of the pelletizing rotary kiln, need to have better thermodynamic properties. At present, in the production process of silicon carbide precast bricks, the quality inspection technology of the silicon carbide precast bricks produced by the production kiln is relatively simple and has not been innovated for a long time.

[0006] Therefore, we proposed a quality control system and method for precast bricks in a pelletizing rotary kiln. Summary of the invention

[0007] In view of the above-mentioned shortcomings of the prior art, the present invention provides a quality control system and method for prefabricated bricks in a pelletizing rotary kiln, which solves the technical problems raised in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] In a first aspect, a quality control system for prefabricated bricks in a pelletizing rotary kiln includes: a collection layer, an analysis layer, and an identification layer;

[0010] In the production stage of precast bricks in high-temperature kilns, the surface state parameters of precast bricks are collected based on the collection layer, and the collected surface state parameters of precast bricks are cleaned synchronously to obtain effective surface state parameters of precast bricks. The analysis layer synchronously receives the effective surface state parameters of precast bricks obtained based on data cleaning in the collection layer, sniffs the source of the effective surface state parameters of precast bricks, and further analyzes the surface standard achievement rate of precast bricks based on the effective surface state parameters of precast bricks. The recognition layer synchronously receives the surface standard achievement rate of precast bricks analyzed in the analysis layer, and identifies whether the quality of precast bricks is qualified through the surface standard achievement rate of precast bricks;

[0011] The analysis layer includes a sniffing module, an analysis module and a correction module. The sniffing module is used to receive the effective precast brick surface state parameters after cleaning in the collection layer, traverse and sniff the source perception timestamps of each effective precast brick state parameter, the analysis module is used to obtain the effective precast brick surface state parameters received in the sniffing module, analyze the precast brick surface standard achievement rate based on the effective precast brick surface state parameters, and the correction module is used to receive the precast brick surface standard achievement rate analysis result in the analysis module, and correct the precast brick surface standard achievement rate analysis result;

[0012] The analysis logic of the precast brick surface standard achievement rate in the analysis module is expressed as follows:

[0013]

[0014] Where: K is the reference value of the prefabricated brick surface standard achievement rate; n is the total number of wind speed sensors in the sensing module; m is the total number of wind speed sensors in the sensing module; P orig To sense the wind pressure at the output end of the high-pressure hot air gun in the module; P i The wind pressure sensed by the i-th group of wind speed sensors; P j is the wind pressure sensed by the wind speed sensor for the jth operation; ω1 and ω2 are weights;

[0015] The surface state parameters of the precast bricks include wind pressure, wind speed, wind direction, and turbulence intensity. The wind speed, wind direction, and turbulence intensity are all calculated based on the above calculation logic to obtain the reference values ​​of the precast brick surface standard achievement rate, which are denoted as K1, K2, K3, and K4. The average of K1, K2, K3, and K4 is the analysis result of the precast brick surface standard achievement rate in the analysis module, which is denoted as K norr .

[0016] Furthermore, the acquisition layer includes a sensing module, a cleaning module and a storage module. The sensing module is used to sense the surface state parameters of the precast bricks. The cleaning module is used to receive the surface state parameters of the precast bricks sensed by the sensing module, set the parameter cleaning logic, and clean the surface state parameters of the precast bricks based on the cleaning logic. The storage module is used to receive the surface state parameters of the precast bricks that have completed the cleaning process in the cleaning module and store the surface state parameters of the precast bricks.

[0017] Among them, the sensing module is integrated by several groups of high-pressure hot air guns, electric slides, guide pipes, distance measuring sensors and wind speed sensors. Several groups of guide pipes are arranged equidistantly in a V shape above the conveyor belt for producing precast bricks in the high-temperature kiln. High-pressure hot air guns are installed on the top of the guide pipes near the initial end of the conveyor belt, and wind speed sensors are installed on the top of the backflow pipes near the end of the conveyor belt. A ranging module is deployed at the center of the opening of the backflow pipe distributed in a V shape. The high-pressure hot air gun and wind speed sensor are installed in the electric slide. The ranging module runs in real time. When it senses that the ranging result has changed, it triggers the high-pressure hot air gun, wind speed sensor and electric slide to run synchronously. The electric slide carries the high-pressure hot air gun and wind speed sensor and moves synchronously in the opposite direction of the conveyor belt. The high-pressure hot air blower outputs airflow vertically to the surface of the precast bricks, and the wind speed sensor senses the gas flow rate entering the guide pipe in real time.

[0018] Furthermore, the operating frequency of the wind speed sensor in the sensing module is customized by the system end user and is subject to: the smaller the allowable error of precast brick production, the higher the operating frequency of the wind speed sensor, and vice versa, the lower the operating frequency of the wind speed sensor. The running path length of the electric slide rail in the sensing module is the longest side length of the precast pile, and one round trip movement of the electric slide rail on the running path is recorded as one operation;

[0019] The gas velocity information sensed by the wind velocity sensor is the surface state parameter of the precast brick;

[0020] The cleaning logic for the surface state parameters of precast bricks in the cleaning module is expressed as follows:

[0021] Set the effective airflow area of ​​the high-pressure hot air gun, obtain the moving speed of the electric slide rail, determine the cleaning time of the surface state parameters of the precast bricks based on the effective airflow area and the moving speed, and clean the surface state parameters of the precast bricks based on the determined cleaning time of the surface state of the precast bricks;

[0022]

[0023] Where: T1 and T2 are the cleaning time; L is the running path length of the electric slide; W is the effective airflow area width of the high-pressure hot air gun; V is the moving speed of the electric slide;

[0024] Among them, based on the above formula, the cleaning time T1 and T2 are calculated, and the surface state parameters of all precast bricks perceived by the perception module are set to correspond to the perception time domain (x, y). Then the surface state parameters of the precast bricks after cleaning by the cleaning module correspond to the time domain (x+T1, y-T2).

[0025] Furthermore, in the operation stage of the storage module, after receiving the surface state parameters of the precast bricks after cleaning, differentiated storage is performed based on the wind speed sensor from which the surface state parameters of the precast bricks are derived, and after the surface state parameters of the precast bricks are differentiated and stored, the surface state parameters of the precast bricks stored in each differentiated storage interval are sorted and stored based on the sensed timestamp. After the storage module completes the storage of the surface state parameters of the precast bricks, the analysis layer and the recognition layer operate synchronously, and the operation is terminated before the next operation of the cleaning module in the collection layer is terminated. The storage module is synchronously reset after the next operation of the cleaning module is terminated, and the operation of receiving and storing the surface state parameters of the precast piles is performed again.

[0026] The surface state parameters of the precast piles stored in the storage module are the surface state parameters of the effective precast bricks.

[0027] Furthermore, the source of the valid precast brick surface state parameters received by the sniffing module is all the precast brick surface state parameters stored in the storage module in the collection layer;

[0028] Express The average, Express The weights ω1 and ω2 are both positive numbers, and the weight ω1+ω2=0.99, and ω1≠ω2;

[0029] The wind pressure P at the output end of the high-pressure hot air gun in the sensing module orig It is defined by the system end user or set with reference to the operating rated parameters of the high-pressure hot air gun.

[0030] Furthermore, the correction module is used to calculate the surface standard achievement rate K of precast bricks. norr The correction logic is expressed as:

[0031]

[0032] Where: K norr′ is the corrected precast brick surface standard achievement rate; u is the total number of precast brick surface state parameter types; t v (max(v), max(v+1)) is the time interval between the two maximum values ​​of the surface state parameters of the v-th type of precast bricks; t(x, y) is the time in the perception time domain corresponding to the surface state parameters of the precast bricks;

[0033] in, Express The average value, K norr With K norr The smaller ′ is, the higher the surface standard achievement rate of precast bricks is.

[0034] Furthermore, the recognition layer includes a receiving module, a recognition module and a sorting module. The receiving module is used to receive the K norr With K norr ′, the recognition module is used to set the recognition threshold of whether the prefabricated brick quality is qualified, and the recognition threshold is related to K norr With K norr 'Compare and identify whether the quality of the precast bricks is qualified. The sorting module is used to receive the recognition result in the recognition module and sort the precast bricks currently produced by the kiln based on the recognition result;

[0035] Among them, there are two groups of recognition thresholds set in the recognition module, and the two groups of recognition thresholds are applied to K norr With K norr ',Right now:

[0036]

[0037] Where: K1 and K2 are two sets of recognition thresholds;

[0038] When both equation (1) and equation (2) are true, it means that the quality of precast bricks currently produced by the kiln is qualified. Otherwise, it means that the quality of precast bricks currently produced by the kiln is unqualified.

[0039] Furthermore, the sorting module is integrated with a robotic arm. When the recognition module recognizes that the quality of the precast bricks currently produced by the kiln is unqualified, the robotic arm grabs the precast bricks currently produced by the kiln and makes the grabbed precast bricks leave the kiln and go to the conveyor belt for transporting precast bricks.

[0040] Furthermore, the sniffing module is interactively connected to the storage module via a wireless network, the storage module is interactively connected to the cleaning module and the perception module via a wireless network, the sniffing module is interactively connected to the analysis module and the correction module via a wireless network, the correction module is interactively connected to the receiving module via a wireless network, and the receiving module is interactively connected to the identification module and the sorting module via a wireless network.

[0041] In a second aspect, a quality control method for prefabricated bricks in a pelletizing rotary kiln is provided, comprising:

[0042] The surface state parameters of precast bricks produced by the high-temperature kiln are sensed by the sensing module, and the parameter cleaning logic is set. Based on the parameter cleaning logic, the sensed surface state parameters of the precast bricks are cleaned and stored;

[0043] Obtaining the surface state parameters of the precast bricks that have been cleaned and stored, and identifying the source timestamp of the surface state parameters of the precast bricks;

[0044] Acquire the surface state parameters of the precast bricks that have been cleaned and stored, and identify the surface standard achievement rate of the precast bricks according to the surface state parameters of the precast bricks;

[0045] Correct the recognition result of the precast brick surface standard achievement rate according to the source timestamp of the precast brick surface state parameter;

[0046] Obtain the precast brick surface standard achievement rate and the revised precast brick surface standard achievement rate, set two groups of recognition thresholds, and compare the two groups of recognition thresholds with the precast brick surface standard achievement rate and the revised precast brick surface standard achievement rate;

[0047] When both sets of comparison results meet the recognition threshold, it means that the quality of the current precast bricks is qualified; otherwise, it means that the quality of the current precast bricks is unqualified.

[0048] Compared with the known public technology, the technical solution provided by the present invention has the following advantages:

[0049] Beneficial effects:

[0050] The present invention provides a quality control system and method for precast bricks in a pelletizing rotary kiln. During operation, the system collects state parameters of silicon carbide precast bricks used in a pelletizing rotary kiln produced by a kiln through a designated sensing module, thereby identifying the quality of the silicon carbide precast bricks based on the analysis of the state parameters, thereby effectively improving the quality control of the silicon carbide precast bricks produced by the kiln during output;

[0051] At the same time, in the stage of collecting the state parameters of silicon carbide precast bricks, the collected state parameters of silicon carbide precast bricks are cleaned to ensure the accuracy of the parameters used in the process of identifying whether the quality of silicon carbide precast bricks is qualified, thereby improving the accuracy of the quality judgment of silicon carbide precast bricks. Compared with the existing technology, this system completely avoids the detection process of image analysis technology and the mechanical properties of the brick body itself, and is faster than the existing quality detection technology;

[0052] In addition, a method for quality control of precast bricks in a pelletizing rotary kiln is provided. By executing the steps in the method, the operation of the above-mentioned system is effectively assisted, and logical support is provided for the operation of the above-mentioned system, ensuring that the above-mentioned system can operate stably to detect the quality of precast bricks, so as to achieve the quality of the produced precast bricks. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] 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 prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0054] Figure 1 It is a structural schematic diagram of a quality control system for precast bricks in a pelletizing rotary kiln;

[0055] Figure 2 It is a flow chart of a quality control method for prefabricated bricks in a pelletizing rotary kiln;

[0056] Figure 3 This is a schematic diagram of the sensing module structure in the present invention;

[0057] Figure 4 Schematic diagram of the internal structure of the sensing module in the present invention;

[0058] The accompanying figures indicate: 1. conveyor belt; 2. precast bricks; 3. electric slide rail; 4. distance measuring sensor; 5. high-pressure hot air gun; 6. wind speed sensor; 7. guide pipe. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution 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 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 are within the scope of protection of the present invention.

[0060] The present invention will be further described below in conjunction with the embodiments.

[0061] Embodiment 1:

[0062] A quality control system for prefabricated bricks in a pelletizing rotary kiln according to this embodiment, such as Figure 1 As shown, it includes: a collection layer, an analysis layer and a recognition layer;

[0063] In the production stage of precast bricks in high-temperature kilns, the surface state parameters of precast bricks are collected based on the collection layer, and the collected surface state parameters of precast bricks are cleaned synchronously to obtain effective surface state parameters of precast bricks. The analysis layer synchronously receives the effective surface state parameters of precast bricks obtained based on data cleaning in the collection layer, sniffs the source of the effective surface state parameters of precast bricks, and further analyzes the surface standard achievement rate of precast bricks based on the effective surface state parameters of precast bricks. The recognition layer synchronously receives the surface standard achievement rate of precast bricks analyzed in the analysis layer, and identifies whether the quality of precast bricks is qualified through the surface standard achievement rate of precast bricks;

[0064] The acquisition layer includes a sensing module, a cleaning module and a storage module. The sensing module is used to sense the surface state parameters of the precast bricks. The cleaning module is used to receive the surface state parameters of the precast bricks sensed by the sensing module, set the parameter cleaning logic, and clean the surface state parameters of the precast bricks based on the cleaning logic. The storage module is used to receive the surface state parameters of the precast bricks that have completed the cleaning process in the cleaning module and store the surface state parameters of the precast bricks.

[0065] Among them, the sensing module is integrated by several groups of high-pressure hot air guns, electric slide rails, guide pipes, distance measuring sensors and wind speed sensors. Several groups of guide pipes are arranged equidistantly in a V shape above the conveyor belt for producing precast bricks in the high-temperature kiln. The top of the guide pipes near the initial end of the conveyor belt is installed with a high-pressure hot air gun, and the top of the backflow pipes near the end of the conveyor belt is installed with a wind speed sensor. The distance measuring module is deployed at the center of the opening of the backflow pipe distributed in a V shape. The high-pressure hot air gun and the wind speed sensor are installed in the electric slide rail. The distance measuring module runs in real time. When it senses that the distance measuring result has changed, it triggers the high-pressure hot air gun, the wind speed sensor and the electric slide rail to run synchronously. The electric slide rail carries the high-pressure hot air gun and the wind speed sensor to move synchronously in the opposite direction of the conveyor belt. The high-pressure hot air blower outputs the airflow vertically to the surface of the precast bricks, and the wind speed sensor senses the gas flow rate entering the guide pipe in real time.

[0066] The operating frequency of the wind speed sensor in the sensing module is customized by the system end user and is subject to: the smaller the allowable error of precast brick production, the higher the operating frequency of the wind speed sensor, and vice versa, the lower the operating frequency of the wind speed sensor. The running path length of the electric slide rail in the sensing module is the longest side length of the precast pile, and one round trip movement of the electric slide rail on the running path is recorded as one operation;

[0067] The gas velocity information sensed by the wind velocity sensor is the surface state parameter of the precast brick;

[0068] The cleaning logic for the surface state parameters of precast bricks in the cleaning module is expressed as follows:

[0069] Set the effective airflow area of ​​the high-pressure hot air gun, obtain the moving speed of the electric slide rail, determine the cleaning time of the surface state parameters of the precast bricks based on the effective airflow area and the moving speed, and clean the surface state parameters of the precast bricks based on the determined cleaning time of the surface state of the precast bricks;

[0070]

[0071] Where: T1 and T2 are the cleaning time; L is the running path length of the electric slide; W is the effective airflow area width of the high-pressure hot air gun; V is the moving speed of the electric slide;

[0072] Among them, based on the above formula, the cleaning time T1 and T2 are obtained, and the corresponding sensing time domain of all precast brick surface state parameters sensed by the sensing module is set to (x, y), then the corresponding time domain of the surface state parameters of the precast bricks after cleaning by the cleaning module is (x+T1, y-T2);

[0073] The analysis layer includes a sniffing module, an analysis module and a correction module. The sniffing module is used to receive the effective precast brick surface state parameters after cleaning in the collection layer, traverse and sniff the source perception timestamps of each effective precast brick state parameter, the analysis module is used to obtain the effective precast brick surface state parameters received in the sniffing module, analyze the precast brick surface standard achievement rate based on the effective precast brick surface state parameters, and the correction module is used to receive the precast brick surface standard achievement rate analysis result in the analysis module, and correct the precast brick surface standard achievement rate analysis result;

[0074] The analysis logic of the precast brick surface standard achievement rate in the analysis module is expressed as follows:

[0075]

[0076] Where: K is the reference value of the prefabricated brick surface standard achievement rate; n is the total number of wind speed sensors in the sensing module; m is the total number of wind speed sensors in the sensing module; P orig To sense the wind pressure at the output end of the high-pressure hot air gun in the module; P i The wind pressure sensed by the i-th group of wind speed sensors; P j is the wind pressure sensed by the wind speed sensor for the jth operation; ω1 and ω2 are weights;

[0077] The surface state parameters of the precast bricks include wind pressure, wind speed, wind direction, and turbulence intensity. The wind speed, wind direction, and turbulence intensity are all calculated based on the above calculation logic to obtain the reference values ​​of the precast brick surface standard achievement rate, which are denoted as K1, K2, K3, and K4. The average of K1, K2, K3, and K4 is the analysis result of the precast brick surface standard achievement rate in the analysis module, which is denoted as K norr ;

[0078] The source of the valid precast brick surface state parameters received by the sniffing module is all the precast brick surface state parameters stored in the storage module in the collection layer;

[0079] Express The average, Express The weights ω1 and ω2 are both positive numbers, and the weight ω1+ω2=0.99, and ω1≠ω2;

[0080] The wind pressure P at the output end of the high-pressure hot air gun in the sensing module orig It is defined by the system end user or set with reference to the rated operating parameters of the high-pressure hot air gun;

[0081] The correction module is used to calculate the surface standard achievement rate K of prefabricated bricks. norr The correction logic is expressed as:

[0082]

[0083] Where: K norr ′ is the corrected precast brick surface standard achievement rate; u is the total number of precast brick surface state parameter types; t v (max(v), max(v+1)) is the time interval between the two maximum values ​​of the surface state parameters of the v-th type of precast bricks; t(x, y) is the time in the perception time domain corresponding to the surface state parameters of the precast bricks;

[0084] in, Express The average value, K norr With K norr The smaller ′ is, the higher the surface standard achievement rate of precast bricks is;

[0085] The recognition layer includes a receiving module, a recognition module and a sorting module. The receiving module is used to receive the K norr With K norr ′, the recognition module is used to set the recognition threshold of whether the prefabricated brick quality is qualified, and the recognition threshold is related to K norr With K norr 'Compare and identify whether the quality of the precast bricks is qualified. The sorting module is used to receive the recognition result in the recognition module and sort the precast bricks currently produced by the kiln based on the recognition result;

[0086] Among them, there are two groups of recognition thresholds set in the recognition module, and the two groups of recognition thresholds are applied to K norr With K norr ',Right now:

[0087]

[0088] Where: K1 and K2 are two sets of recognition thresholds;

[0089] When both equation (1) and equation (2) are true, it means that the quality of precast bricks currently produced by the kiln is qualified. Otherwise, it means that the quality of precast bricks currently produced by the kiln is unqualified.

[0090] The sniffing module is interactively connected to the storage module via a wireless network, the storage module is interactively connected to the cleaning module and the sensing module via a wireless network, the sniffing module is interactively connected to the analysis module and the correction module via a wireless network, the correction module is interactively connected to the receiving module via a wireless network, and the receiving module is interactively connected to the identification module and the sorting module via a wireless network.

[0091] In this embodiment, the perception module operates to perceive the surface state parameters of the precast bricks, the cleaning module operates to receive the surface state parameters of the precast bricks perceived by the perception module, sets the parameter cleaning logic, and cleans the surface state parameters of the precast bricks based on the cleaning logic. The storage module synchronously receives the surface state parameters of the precast bricks that have completed the cleaning process in the cleaning module, and stores the surface state parameters of the precast bricks. The sniffing module further receives the effective surface state parameters of the precast bricks that have been cleaned in the collection layer, traverses and sniffs the perception timestamps of the sources of each effective precast brick state parameter, and then the analysis module obtains the effective precast brick surface state parameters received in the sniffing module, analyzes the precast brick surface standard achievement rate based on the effective precast brick surface state parameters, and the correction module synchronously receives the precast brick surface standard achievement rate analysis result in the analysis module, corrects the precast brick surface standard achievement rate analysis result, and then the receiving module receives the K analyzed in the analysis layer. norr With K norr ′, the recognition module runs to set the recognition threshold of whether the prefabricated brick quality is qualified, and the recognition threshold is related to K norr With K norr 'Compare and identify whether the quality of the precast bricks is qualified. The sorting module finally receives the recognition result from the recognition module and decides on the sorting of the precast bricks currently output by the kiln based on the recognition result.

[0092] In this embodiment, the surface state parameters of precast bricks are collected by the sensing module integrated by the designated component, and the precast bricks are judged to be qualified, so as to realize the quality control of precast brick production. In specific application scenarios, the data of the sensing module can also be added, so that the sensing module is distributed on the opposite sides of each surface of the precast brick to be evaluated, so as to realize higher-precision precast brick quality identification and evaluation;

[0093] See also Figure 3-4 As shown, the relative positions and distribution states of the electric slide rail 3, the distance measuring sensor 4, the high-pressure hot air gun 5, the wind speed sensor 6, and the guide pipe 7 are mainly shown through the numbers in the figure.

[0094] Embodiment 2;

[0095] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The following is a further detailed description of a quality control system for prefabricated bricks in a pelletizing rotary kiln in Example 1:

[0096] In the operation stage of the storage module, after receiving the surface state parameters of the precast bricks after cleaning, differentiated storage is performed based on the wind speed sensor from which the surface state parameters of the precast bricks are derived, and after the surface state parameters of the precast bricks are differentiated and stored, the surface state parameters of the precast bricks stored in each differentiated storage interval are sorted and stored based on the sensed timestamp. After the storage module completes the storage of the surface state parameters of the precast bricks, the analysis layer and the recognition layer operate synchronously, and the operation is terminated before the next operation of the cleaning module in the collection layer is terminated. The storage module is synchronously reset after the next operation of the cleaning module is terminated, and the operation of receiving and storing the surface state parameters of the precast piles is performed again.

[0097] The surface state parameters of the precast piles stored in the storage module are the surface state parameters of the effective precast bricks;

[0098] The sorting module is integrated with a robotic arm. When the recognition module recognizes that the quality of the precast bricks currently produced by the kiln is unqualified, the robotic arm grabs the precast bricks currently produced by the kiln, so that the grabbed precast bricks leave the kiln and the conveyor belt for transporting precast bricks.

[0099] In this embodiment, through the above-mentioned settings, further system operation logic support is provided for the system in Example 1, ensuring that the system in Example 1 can operate more stably, and further limiting the operation logic of the storage module, ensuring that the perception parameters of the perception module operation of the system acquisition layer can stably perform storage operations.

[0100] Embodiment 3:

[0101] In terms of specific implementation, based on Example 1, this example refers to Figure 2 The following is a further detailed description of a quality control system for prefabricated bricks in a pelletizing rotary kiln in Example 1:

[0102] A quality control method for pelletizing rotary kiln prefabricated bricks, comprising:

[0103] The surface state parameters of precast bricks produced by the high-temperature kiln are sensed by the sensing module, and the parameter cleaning logic is set. Based on the parameter cleaning logic, the sensed surface state parameters of the precast bricks are cleaned and stored;

[0104] Obtaining the surface state parameters of the precast bricks that have been cleaned and stored, and identifying the source timestamp of the surface state parameters of the precast bricks;

[0105] Acquire the surface state parameters of the precast bricks that have been cleaned and stored, and identify the surface standard achievement rate of the precast bricks according to the surface state parameters of the precast bricks;

[0106] Correct the recognition result of the precast brick surface standard achievement rate according to the source timestamp of the precast brick surface state parameter;

[0107] Obtain the precast brick surface standard achievement rate and the revised precast brick surface standard achievement rate, set two groups of recognition thresholds, and compare the two groups of recognition thresholds with the precast brick surface standard achievement rate and the revised precast brick surface standard achievement rate;

[0108] When both sets of comparison results meet the recognition threshold, it means that the quality of the current precast bricks is qualified; otherwise, it means that the quality of the current precast bricks is unqualified.

[0109] In summary, during the operation of the system in the above embodiment, the state parameters of the silicon carbide precast bricks used in the pelletizing rotary kiln produced by the kiln are collected through the designated perception module, so as to identify the quality of the silicon carbide precast bricks based on the analysis of the state parameters, effectively improving the quality control of the silicon carbide precast bricks produced by the kiln at the time of output; at the same time, in the stage of collecting the state parameters of the silicon carbide precast bricks, the collected state parameters of the silicon carbide precast bricks are cleaned to ensure the accuracy of the parameters used in the process of identifying whether the quality of the silicon carbide precast bricks is qualified, thereby improving the accuracy of the quality judgment of the silicon carbide precast bricks. Compared with the prior art, this system completely avoids the image analysis technology and the detection process of the mechanical properties of the brick body itself, and is faster than the existing quality detection technology; in addition, a quality control method for precast bricks in a pelletizing rotary kiln is provided, and the execution of the steps in the method effectively assists the operation of the above system, provides logical support for the operation of the above system, and ensures that the above system can stably operate to detect the quality of the precast bricks, so as to achieve the quality of the precast bricks produced.

[0110] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A quality control system for prefabricated bricks in a pelletizing rotary kiln, characterized in that: include: Collection layer, analysis layer and recognition layer; In the production stage of precast bricks in high-temperature kilns, the surface state parameters of precast bricks are collected based on the collection layer, and the collected surface state parameters of precast bricks are cleaned synchronously to obtain effective surface state parameters of precast bricks. The analysis layer synchronously receives the effective surface state parameters of precast bricks obtained based on data cleaning in the collection layer, sniffs the source of the effective surface state parameters of precast bricks, and further analyzes the surface standard achievement rate of precast bricks based on the effective surface state parameters of precast bricks. The recognition layer synchronously receives the surface standard achievement rate of precast bricks analyzed in the analysis layer, and identifies whether the quality of precast bricks is qualified through the surface standard achievement rate of precast bricks; The analysis layer includes a sniffing module, an analysis module and a correction module. The sniffing module is used to receive the effective precast brick surface state parameters after cleaning in the collection layer, traverse and sniff the source perception timestamps of each effective precast brick state parameter, the analysis module is used to obtain the effective precast brick surface state parameters received in the sniffing module, analyze the precast brick surface standard achievement rate based on the effective precast brick surface state parameters, and the correction module is used to receive the precast brick surface standard achievement rate analysis result in the analysis module, and correct the precast brick surface standard achievement rate analysis result; The analysis logic of the precast brick surface standard achievement rate in the analysis module is expressed as follows: Where: K is the reference value of the surface standard achievement rate of precast bricks; n is the total number of wind speed sensors in the sensing module; m is the total number of times the wind speed sensor in the sensing module operates; P orig To sense the wind pressure at the output end of the high-pressure hot air gun in the module; P i The wind pressure sensed by the i-th group of wind speed sensors; P j is the wind pressure sensed by the wind speed sensor for the jth operation; ω1 and ω2 are weights; The surface state parameters of the precast bricks include wind pressure, wind speed, wind direction, and turbulence intensity. The wind speed, wind direction, and turbulence intensity are all calculated based on the above calculation logic to obtain the reference values ​​of the precast brick surface standard achievement rate, which are denoted as K1, K2, K3, and K4. The average of K1, K2, K3, and K4 is the analysis result of the precast brick surface standard achievement rate in the analysis module, which is denoted as K norr .

2. A quality control system for prefabricated bricks in a pelletizing rotary kiln according to claim 1, characterized in that: The acquisition layer includes a sensing module, a cleaning module and a storage module. The sensing module is used to sense the surface state parameters of the precast bricks. The cleaning module is used to receive the surface state parameters of the precast bricks sensed by the sensing module, set the parameter cleaning logic, and clean the surface state parameters of the precast bricks based on the cleaning logic. The storage module is used to receive the surface state parameters of the precast bricks that have completed the cleaning process in the cleaning module and store the surface state parameters of the precast bricks. Among them, the sensing module is integrated by several groups of high-pressure hot air guns, electric slides, guide pipes, distance measuring sensors and wind speed sensors. Several groups of guide pipes are arranged equidistantly in a V shape above the conveyor belt for producing precast bricks in the high-temperature kiln. High-pressure hot air guns are installed on the top of the guide pipes near the initial end of the conveyor belt, and wind speed sensors are installed on the top of the backflow pipes near the end of the conveyor belt. A ranging module is deployed at the center of the opening of the backflow pipe distributed in a V shape. The high-pressure hot air gun and wind speed sensor are installed in the electric slide. The ranging module runs in real time. When it senses that the ranging result has changed, it triggers the high-pressure hot air gun, wind speed sensor and electric slide to run synchronously. The electric slide carries the high-pressure hot air gun and wind speed sensor and moves synchronously in the opposite direction of the conveyor belt. The high-pressure hot air blower outputs airflow vertically to the surface of the precast bricks, and the wind speed sensor senses the gas flow rate entering the guide pipe in real time.

3. A quality control system for prefabricated bricks in a pelletizing rotary kiln according to claim 2, characterized in that: The operating frequency of the wind speed sensor in the sensing module is customized by the system end user and is subject to: the smaller the allowable error of precast brick production, the higher the operating frequency of the wind speed sensor, and vice versa, the lower the operating frequency of the wind speed sensor. The running path length of the electric slide rail in the sensing module is the longest side length of the precast pile, and one round trip movement of the electric slide rail on the running path is recorded as one operation; The gas velocity information sensed by the wind velocity sensor is the surface state parameter of the precast brick; The cleaning logic for the surface state parameters of precast bricks in the cleaning module is expressed as follows: Set the effective airflow area of ​​the high-pressure hot air gun, obtain the moving speed of the electric slide rail, determine the cleaning time of the surface state parameters of the precast bricks based on the effective airflow area and the moving speed, and clean the surface state parameters of the precast bricks based on the determined cleaning time of the surface state of the precast bricks; Where: T1 and T2 are the cleaning time; L is the running path length of the electric slide; W is the effective airflow area width of the high-pressure hot air gun; V is the moving speed of the electric slide; Among them, based on the above formula, the cleaning time T1 and T2 are calculated, and the surface state parameters of all precast bricks perceived by the perception module are set to correspond to the perception time domain (x, y). Then the surface state parameters of the precast bricks after cleaning by the cleaning module correspond to the time domain (x+T1, y-T2).

4. A quality control system for prefabricated bricks in a pelletizing rotary kiln according to claim 1, characterized in that: In the operation stage of the storage module, after receiving the surface state parameters of the precast bricks after cleaning, differentiated storage is performed based on the wind speed sensor from which the surface state parameters of the precast bricks are derived, and after the surface state parameters of the precast bricks are differentiated and stored, the surface state parameters of the precast bricks stored in each differentiated storage interval are sorted and stored based on the sensed timestamp. After the storage module completes the storage of the surface state parameters of the precast bricks, the analysis layer and the recognition layer operate synchronously, and the operation is terminated before the next operation of the cleaning module in the collection layer is terminated. The storage module is synchronously reset after the next operation of the cleaning module is terminated, and the operation of receiving and storing the surface state parameters of the precast piles is performed again. The surface state parameters of the precast piles stored in the storage module are the surface state parameters of the effective precast bricks.

5. The quality control system for prefabricated bricks in a pelletizing rotary kiln according to claim 1 is characterized in that: The source of the valid precast brick surface state parameters received by the sniffing module is all the precast brick surface state parameters stored in the storage module in the collection layer; Express The average, Express The weights ω1 and ω2 are both positive numbers, and the weight ω1+ω2=0.99, and ω1≠ω2; The wind pressure P at the output end of the high-pressure hot air gun in the sensing module orig It is defined by the system end user or set with reference to the operating rated parameters of the high-pressure hot air gun.

6. A quality control system for prefabricated bricks in a pelletizing rotary kiln according to claim 1, characterized in that: The correction module is used to calculate the surface standard achievement rate K of prefabricated bricks. norr The correction logic is expressed as: Where: K norr ′ is the corrected precast brick surface standard achievement rate; u is the total number of precast brick surface state parameter types; t v (max(v), max(v+1)) is the time interval between the two maximum values ​​of the surface state parameters of the v-th type of precast bricks; t(x, y) is the time in the perception time domain corresponding to the surface state parameters of the precast bricks; in, Express The average value, K norr With K norr The smaller ′ is, the higher the surface standard achievement rate of precast bricks is.

7. A quality control system for prefabricated bricks in a pelletizing rotary kiln according to claim 1, characterized in that: The recognition layer includes a receiving module, a recognition module and a sorting module. The receiving module is used to receive the K norr With K norr ′, the recognition module is used to set the recognition threshold of whether the prefabricated brick quality is qualified, and the recognition threshold is related to K norr With K norr 'Compare and identify whether the quality of the precast bricks is qualified. The sorting module is used to receive the recognition result in the recognition module and sort the precast bricks currently produced by the kiln based on the recognition result; Among them, there are two groups of recognition thresholds set in the recognition module, and the two groups of recognition thresholds are applied to K norr With K norr ',Right now: Where: K1 and K2 are two sets of recognition thresholds; When both equation (1) and equation (2) are true, it means that the quality of precast bricks currently produced by the kiln is qualified. Otherwise, it means that the quality of precast bricks currently produced by the kiln is unqualified.

8. A quality control system for prefabricated bricks in a pelletizing rotary kiln according to claim 7, characterized in that: The sorting module is integrated with a robotic arm. When the recognition module recognizes that the quality of the precast bricks currently produced by the kiln is unqualified, the robotic arm grabs the precast bricks currently produced by the kiln, so that the grabbed precast bricks leave the kiln and the conveyor belt for transporting precast bricks.

9. A quality control system for prefabricated bricks in a pelletizing rotary kiln according to claim 1, characterized in that: The sniffing module is interactively connected to the storage module via a wireless network, the storage module is interactively connected to the cleaning module and the sensing module via a wireless network, the sniffing module is interactively connected to the analysis module and the correction module via a wireless network, the correction module is interactively connected to the receiving module via a wireless network, and the receiving module is interactively connected to the identification module and the sorting module via a wireless network.

10. A quality control method for precast bricks in a pelletizing rotary kiln, the method being an implementation method of a quality control system for precast bricks in a pelletizing rotary kiln as claimed in any one of claims 1 to 9, characterized in that: include: The surface state parameters of precast bricks produced by the high-temperature kiln are sensed by the sensing module, and the parameter cleaning logic is set. Based on the parameter cleaning logic, the sensed surface state parameters of the precast bricks are cleaned and stored; Obtaining the surface state parameters of the precast bricks that have been cleaned and stored, and identifying the source timestamp of the surface state parameters of the precast bricks; Acquire the surface state parameters of the precast bricks that have been cleaned and stored, and identify the surface standard achievement rate of the precast bricks according to the surface state parameters of the precast bricks; Correct the recognition result of the precast brick surface standard achievement rate according to the source timestamp of the precast brick surface state parameter; Obtain the precast brick surface standard achievement rate and the revised precast brick surface standard achievement rate, set two groups of recognition thresholds, and compare the two groups of recognition thresholds with the precast brick surface standard achievement rate and the revised precast brick surface standard achievement rate; When both sets of comparison results meet the recognition threshold, it means that the quality of the current precast bricks is qualified; otherwise, it means that the quality of the current precast bricks is unqualified.

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