Electric heating glass annealing process based on intelligent temperature control

Abstract

The invention relates to the technical field of electric heating glass, and discloses an electric heating glass annealing process based on intelligent temperature control, which comprises the following steps: feeding glass through a feeding mechanism so as to convey the glass; the exhaust mechanism is used for filtering waste gas, so that particulate matters are filtered; exhaust of waste gas is achieved through the exhaust mechanism, so that the waste gas is conveyed conveniently; the waste gas is cooled through the cooling mechanism; by reducing shaking generated when a traditional conveying belt moves, the moving stability is improved, and glass loss caused by jolting generated in the conveying process is reduced; particulate matters in waste gas can be captured and blocked through the two filter screens, and diffusion of the particulate matters is reduced; the rotating exhaust fan can cool the waste gas, so that heat accumulation caused by poor flowability during waste gas emission is reduced, and the waste gas emission effect and efficiency are improved; and by cooling the waste gas, the influence of high-temperature waste gas emission on the surrounding environment is reduced, and the safety of waste gas emission is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of electrically heated glass, and in particular to an annealing process of electrically heated glass based on intelligent temperature control. Background Art

[0002] The glass is annealed by electric heating, and the intelligent temperature control system is used to accurately control the temperature during the heating and cooling process in order to eliminate internal stress, stabilize the glass structure, and improve product quality. The advantages of electric heating technology and intelligent temperature control system are used to achieve precise control and management of the glass annealing process, thereby improving product quality and production efficiency.

[0003] In the prior art, the authorization publication number "CN116813187A" discloses "a dynamic monitoring control system and method for the glass temperature of an annealing furnace"; it includes a controller, the annealing furnace is provided with n temperature monitoring positions from the near melting end to the near finished product end, n≥3, the dynamic monitoring control system includes n temperature monitoring units corresponding to the n temperature monitoring positions respectively, the temperature monitoring unit includes a temperature measuring device, a cooling device, an electric heating device and a power supply device, the temperature measuring device is arranged at the temperature monitoring position and measures the glass temperature, the temperature measuring device is communicatively connected to the controller, the electric heating device can heat the glass in the area before and after the temperature monitoring position, and the cooling device can cool the glass in the area before and after the temperature monitoring position; the temperature measuring device is signal-connected to the controller, the power supply device is connected to the electric heating device for power supply, the controller is connected to the power supply device, and the controller is control-connected to the electric heating device and the temperature measuring device of the temperature monitoring unit.

[0004] The above-mentioned "dynamic monitoring control system and method for glass temperature in an annealing furnace" still has some disadvantages. For example, during the use of the existing electrically heated glass annealing furnace, the stability of the glass will decrease during the annealing process, and the vibration during the movement will cause the glass to deform. At the same time, during the use of the annealing furnace, high-temperature exhaust gas will be generated, and the exhaust gas will contain high-temperature particles, which will affect the surrounding environment;

[0005] For this reason, an electrically heated glass annealing process based on intelligent temperature control is proposed here to solve the above-mentioned problems. Summary of the invention

[0006] In view of the above situation, in order to overcome the defects of the prior art, the present invention provides an electric heating glass annealing process based on intelligent temperature control, which effectively solves the problem that the vibration during the movement of glass annealing in the current market may cause the glass to deform. At the same time, during the use of the annealing furnace, high-temperature exhaust gas will be generated, and the exhaust gas will contain high-temperature particulate matter, which will affect the surrounding environment.

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an electrically heated glass annealing process based on intelligent temperature control, the electrically heated glass annealing process based on intelligent temperature control is characterized in that it comprises the following steps;

[0008] S1. Loading the glass through a feeding mechanism so as to transport the glass;

[0009] S2. Filtering the exhaust gas through the exhaust mechanism to filter the particulate matter;

[0010] S3. The exhaust gas is discharged through the exhaust mechanism so as to transport the exhaust gas;

[0011] S4. Cooling the exhaust gas by means of a cooling mechanism so as to discharge the exhaust gas;

[0012] As a preferred solution of the present invention, in step S1, the feeding mechanism includes a bottom connecting groove, a side sliding platform and a bottom fixed plate, the side sliding platform is opened at the top of the bottom connecting groove, a base is arranged on the outer side of the bottom fixed plate, the bottom connecting groove is opened on the inner side of the base, the top of the base is fixedly connected with an annealing furnace, one side of the annealing furnace is movably connected with a side cabinet door, one side of the base is fixedly connected with a support platform, one side of the annealing furnace is fixedly connected with an intelligent temperature controller, the top of the bottom fixed plate is fixedly connected with a motor body, the output shaft of the motor body is fixedly connected with a threaded rod, the surface of the threaded rod is threadedly connected with an internal threaded ring, the top of the internal threaded ring is fixedly connected with an inner connecting frame, the top of the inner connecting frame is fixedly connected with a bottom storage table, and the top of the bottom storage table is fixedly connected with a top storage table.

[0013] As a preferred solution of the present invention, in step S1, a sensor is embedded in the feeding mechanism, and the transportation process is detected in real time through an intelligent algorithm, and the feeding speed is dynamically adjusted; the algorithm can learn the optimal conveying parameters under different annealing processes and environments, thereby reducing the impact of vibration on glass deformation; the specific process is:

[0014] 1. Sensor Data Collection and Monitoring

[0015] 1. The acceleration sensor should be installed on the bottom fixing plate to monitor the overall vibration acceleration A(t) of the feeding system;

[0016] 2. The feed speed sensor is installed near the output shaft on the motor body or directly on the rotation position of the threaded rod to monitor the feed speed v(t);

[0017] 3. The displacement sensor should be installed on the bottom or top platform, close to the glass bearing part, to monitor the displacement change Δd(t) of the glass;

[0018] 2. Data Preprocessing

[0019] In order to train the model, the collected data needs to be cleaned and preprocessed; this step includes low-pass filtering and minimum-maximum normalization; the following takes acceleration data as an example, and other data are the same;

[0020] (1) Filter denoising

[0021] The original acceleration data is A(t), and the acceleration data after low-pass filtering is A′(t);

[0022]

[0023] Where A(t) is the original acceleration data at time t; N is the size of the sliding window, which is usually selected according to the specific signal; i is the current data sequence number;

[0024] (2) Min-Max Normalization

[0025]

[0026] Among them, the maximum value of the acceleration data A(t) is A max , the minimum value is A min , then the normalized acceleration data is A′(t);

[0027] 3. Model selection: Fusion control of fuzzy sets optimized by differential evolution and Dempster-Shafer evidence theory;

[0028] The differential evolution algorithm DE is used to optimize the membership function parameters in the fuzzy logic system and combined with the Dempster-Shafer evidence theory to form an efficient vibration control system.

[0029] 1. Fuzzy logic control system design

[0030] (1) Fuzzy set definition

[0031] First, fuzzy sets are defined for each input variable in the feeding system; these variables include feeding speed v(t) and vibration acceleration A(t). Each variable has several fuzzy sets, and the membership function of each fuzzy set is optimized by differential evolution algorithm (DE).

[0032] Input variables:

[0033] Feeding speed v(t);

[0034] Vibration acceleration A(t);

[0035] Fuzzy Sets:

[0036] X is a variable, and three fuzzy sets are defined:

[0037] Low L;

[0038] Middle M;

[0039] High H;

[0040] Membership function: The shape and parameters of the membership function of each fuzzy set can be optimized, using triangular membership function:

[0041]

[0042] Among them, μ L is the membership function, a, b, c are the membership function parameters to be optimized;

[0043] (2) Fuzzy rule setting

[0044] Establish fuzzy control rules and define the relationship between the input variables feed speed v(t), vibration acceleration A(t) and output vibration displacement Δd(t);

[0045] Rule 1:

[0046] Condition: If the feed speed v(t) is high, and the vibration acceleration A(t) is high;

[0047] Result: The vibration displacement △d(t) is high

[0048] Rule 2:

[0049] Condition: If the feed speed v(t) is medium speed and the vibration acceleration A(t) is high

[0050] Result: Then the vibration displacement △d(t) is medium;

[0051] Rule 3:

[0052] Condition: If the feed speed v(t) is medium speed and the vibration acceleration A(t) is medium

[0053] Result: Then the vibration displacement △d(t) is medium;

[0054] Rule 4:

[0055] Condition: If the feed speed v(t) is medium and the vibration acceleration A(t) is low

[0056] Result: The vibration displacement △d(t) is low;

[0057] Rule 5:

[0058] Condition: If the feed speed v(t) is low and the vibration acceleration A(t) is medium

[0059] Result: Then the vibration displacement △d(t) is medium;

[0060] Rule 6:

[0061] Condition: If the feed speed v(t) is low and the vibration acceleration A(t) is low

[0062] Result: The vibration displacement △d(t) is low;

[0063] 2. Differential evolution algorithm optimizes membership function

[0064] In order to further improve the accuracy of the fuzzy system, the differential evolution algorithm DE is used to optimize the membership function parameters so that the fuzzy control system can better adapt to the input of feeding speed and vibration acceleration;

[0065] (1) Population initialization

[0066] Objective: Optimize the membership function parameters of each input variable in the fuzzy system;

[0067] Population initialization: randomly generate multiple individuals, each of which contains the parameters a, b, c of the membership function. These individuals constitute the initial population;

[0068] (2) Core steps of differential evolution algorithm

[0069] Mutation: Generate mutant individuals v by randomly selecting three different individuals i , the formula is as follows:

[0070] v i =x r 1+F·(x r 2-x r 3)

[0071] Among them, v i is a mutant individual, x r 1,x r 2,x r 3 is three individuals randomly selected from the population, and F is the scaling factor;

[0072] Crossover: The mutant individual v i With the current individual x i Perform crossover to generate new candidate solutions u i , the crossover formula is:

[0073]

[0074] Among them, v i,j is the value of variant individual i in the jth dimension, x i,j is the value of the current individual i in the jth dimension, u i,j is the value of candidate solution i in the jth dimension, rand j(0,1) is a random number in the interval [0,1], CR is the crossover probability;

[0075] Selection: Compare candidate solutions u i With the current individual x i The mean square error of selects better individuals to enter the next generation:

[0076]

[0077] Where MSE is the mean square error, is the solution of the new generation individual i for the next generation;

[0078] (3) Optimization goal of differential evolution

[0079] The optimization goal is to minimize the error of the fuzzy system output vibration displacement Δd(t); that is, to minimize the following objective function:

[0080]

[0081] in, is the predicted vibration displacement, Δd i is the actual measured vibration displacement, n represents the number of samples, and i represents the current sample number;

[0082] 3. Dempster-Shafer Evidence Theory Integration

[0083] In the optimized fuzzy system, different sensor data are integrated through Dempster-Shafer evidence theory to enhance the robustness of the system;

[0084] (1) Basic Probability Allocation (BPA)

[0085] Assign basic probabilities to the feed speed v(t) and vibration acceleration A(t); these probabilities represent the credibility of each sensor data;

[0086] For the feeding speed v(t), the basic probabilities of its fuzzy set low speed, medium speed and high speed are m respectively. L (v),m M (v),m H (v);

[0087] (2) Rules for Combining Evidence

[0088] Dempster combination rules are used to integrate the evidence from different sensors to generate the final system decision; the combination rules are:

[0089]

[0090] Among them, m1(B) and m2(C) are the basic probabilities of the two sets of evidence, m12 (A) is the combined evidence, K is the conflict coefficient, and B∩C=A means that the intersection of evidence B and evidence C is A;

[0091] (3) Final decision

[0092] After integrating the inputs of different sensors through the Dempster-Shafer theory, the system can obtain a comprehensive vibration prediction result, and then output the optimal control instruction of the feeding speed v(t) to adjust the system operation to reduce vibration;

[0093] 4. Control Execution

[0094] The final decision is to send a control signal to the feed speed control actuator through the intelligent feed and vibration controller;

[0095] Feeding speed control actuator: The motor body and threaded rod in the feeding system are the actuators for adjusting the feeding speed; the control unit controls the motor speed to adjust the feeding speed v(t) according to the fuzzy system decision after differential evolution optimization.

[0096] As a preferred solution of the present invention, the exhaust mechanism includes:

[0097] A bottom connecting box, which is arranged on the top of the annealing furnace;

[0098] A top connecting box, which is fixedly connected to the top of the bottom connecting box;

[0099] The top exhaust pipe is fixedly connected to the top of the top connecting box.

[0100] As a preferred solution of the present invention, the discharge mechanism includes connecting side plates, bolts and a top protection box, the inner side of the top protection box is fixedly connected to a bottom protection box, the output shaft of the bottom protection box is fixedly connected to a transmission rod, and the bottom of the transmission rod is fixedly connected to an exhaust fan.

[0101] As a preferred solution of the present invention, the cooling mechanism includes a liquid storage tank, a liquid inlet and a liquid inlet pipe, the top of the top connecting box is fixedly connected to the liquid storage tank, the top of the liquid storage tank is fixedly connected to the liquid inlet, one side of the liquid storage tank is fixedly connected to a liquid outlet pump, one side of the liquid outlet pump is fixedly connected to a liquid outlet pipe, and one end of the liquid outlet pipe is fixedly connected to a heat exchange sleeve.

[0102] As a preferred solution of the present invention, a bottom connecting frame is fixedly connected to the inner side of the bottom connecting box, a top connecting frame is arranged on the top of the bottom connecting frame, and a filter is fixedly connected to the inner side of the bottom connecting frame and the inner side of the top connecting frame.

[0103] As a preferred solution of the present invention, a connecting side plate is fixedly connected to the inner side of the bottom connecting box, a bolt is threadedly connected to the surface of the connecting side plate, and one side of the bolt is threadedly connected to the surface of the bottom connecting box.

[0104] As a preferred solution of the present invention, one end of the threaded rod is movably connected to a bearing disk, and one side of the bearing disk is movably connected to a side fixing plate.

[0105] As a preferred solution of the present invention, two heat exchange sleeves are provided, and heat sinks are fixedly connected to the surfaces of the two heat exchange sleeves, and the number of the heat sinks is multiple.

[0106] As a preferred solution of the present invention, a liquid inlet pipe is fixedly connected to the bottom of the heat exchange sleeve, one end of the liquid inlet pipe is fixedly connected to a liquid inlet pump, and one side of the liquid inlet pump is fixedly connected to one side of the liquid storage tank.

[0107] Compared with the prior art, the present invention has the following beneficial effects:

[0108] 1) In the process of electrically heated glass annealing based on intelligent temperature control, the threaded rod is connected with the internal threaded ring by a threaded connection. When the threaded rod rotates, the internal threaded ring is driven to move horizontally. The internal connecting frame is fixed to synchronously drive the bottom table to slide along the surface of the side sliding table. The sliding of the two sides of the bottom table and the side sliding table improves the stability of the movement of the bottom table. By driving the bottom table to move horizontally and stably along the top of the base, the shaking generated by the traditional conveyor belt during movement is reduced, the stability of movement is improved, and the loss of glass caused by the bumps generated during transportation is reduced;

[0109] 2) In the electric heating glass annealing process based on intelligent temperature control, two filters can be used to capture and block particulate matter in the exhaust gas, reducing the diffusion of particulate matter. After the exhaust gas is filtered, it will be discharged upward along the top connecting box to the top exhaust pipe. The exhaust gas can be discharged through the two top exhaust pipes. Through filtering, the exhaust gas emission effect is improved, and the damage to the surrounding environment caused by high-temperature particulate matter contained in the exhaust gas is reduced;

[0110] 3) During the electric heating glass annealing process based on intelligent temperature control, the rotating exhaust fan will generate suction to draw the gas in the annealing furnace upward along the bottom connecting box, thereby increasing the gas discharge rate. At the same time, the rotating exhaust fan will cool the exhaust gas, reducing the heat accumulation caused by poor fluidity during exhaust gas discharge, thereby improving the effect and efficiency of exhaust gas discharge;

[0111] 4) In the process of electrically heated glass annealing based on intelligent temperature control, the cooling liquid is returned to the liquid storage tank along the liquid inlet pipe to form a cycle, thereby improving the cooling effect of the cooling liquid on the top exhaust pipe, and the outer surface of the heat exchange sleeve is provided with a plurality of heat sinks, which increase the heat dissipation area of ​​the heat exchange sleeve and improve the cooling efficiency of the coolant. By cooling the exhaust gas, the impact of high-temperature exhaust gas discharge on the surrounding environment is reduced, thereby improving the safety of exhaust gas discharge;

[0112] 5) In the electric heating glass annealing process based on intelligent temperature control, the vibration during transportation will cause the glass to deform, affecting the quality of the final product. By introducing fuzzy logic control, the system can dynamically adjust the control strategy according to parameters such as feeding speed and vibration acceleration, reduce the deformation problem caused by vibration, and ensure that the glass remains stable during the entire transportation process;

[0113] 6) In the electric heating glass annealing process based on intelligent temperature control, the data such as feeding speed and vibration acceleration collected by the sensor have uncertainty and noise problems in practical applications. By introducing the Dempster-Shafer evidence theory, the system can integrate data from multiple sources of uncertainty, improve the robustness and reliability of decision-making, and ensure that the system can still make accurate judgments under uncertain and noisy conditions;

[0114] 7) In the electric heating glass annealing process based on intelligent temperature control, in the traditional fuzzy control system, the design of membership function and parameter adjustment usually rely on experience, and it is difficult to dynamically optimize according to the actual situation. By introducing the differential evolution algorithm (DE), the endpoint parameters of the triangular membership function can be automatically optimized, so that the fuzzy control system can better adapt to the actual input data, and improve the system control accuracy and adaptability. BRIEF DESCRIPTION OF THE DRAWINGS

[0115] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0116] Figure 1 It is a schematic diagram of the structure of the annealing furnace of the present invention;

[0117] Figure 2 It is a schematic diagram of the bottom connecting groove structure of the present invention;

[0118] Figure 3 It is a schematic diagram of the structure of the bottom storage platform of the present invention;

[0119] Figure 4 It is a schematic diagram of the structure of the liquid storage tank of the present invention;

[0120] Figure 5It is a schematic diagram of the top connection box structure of the present invention;

[0121] Figure 6 It is a schematic diagram of the structure of the bottom connecting box of the present invention;

[0122] Figure 7 It is a schematic diagram of the structure of the liquid inlet pump of the present invention;

[0123] Figure 8 Flowchart of the control algorithm integrating fuzzy sets and Dempster-Shafer evidence theory for differential evolution optimization.

[0124] In the figure: 1, base; 2, annealing furnace; 3, side cabinet door; 4, support platform; 5, intelligent temperature controller; 601, bottom connecting groove; 602, side sliding platform; 603, bottom fixing plate; 604, motor body; 605, threaded rod; 606, bearing plate; 607, side fixing plate; 608, internal threaded collar; 609, internal connecting frame; 6010, bottom storage platform; 6011, top storage platform; 701, bottom connecting box; 702, top connecting box ; 703, top exhaust pipe; 704, bottom connecting frame; 705, top connecting frame; 706, filter screen; 801, connecting side panel; 802, bolts; 803, top protection box; 804, bottom protection box; 805, transmission rod; 806, exhaust fan; 901, liquid storage tank; 902, liquid inlet; 903, liquid inlet pipe; 904, liquid inlet pump; 905, heat exchange sleeve; 906, heat sink; 907, liquid outlet pipe; 908, liquid outlet pump. DETAILED DESCRIPTION

[0125] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0126] In this embodiment, Figure 1-Figure 7 Given, the present invention provides the following technical solutions:

[0127] The electrically heated glass annealing process based on intelligent temperature control is characterized in that it includes the following steps:

[0128] S1. Loading the glass through a feeding mechanism so as to transport the glass;

[0129] S2. Filtering the exhaust gas through the exhaust mechanism to filter the particulate matter;

[0130] S3. The exhaust gas is discharged through the exhaust mechanism so as to transport the exhaust gas;

[0131] S4. Cooling the exhaust gas by means of a cooling mechanism so as to discharge the exhaust gas;

[0132] In a specific embodiment of the present invention, by driving the bottom platform 6010 to move horizontally and stably along the top of the base 1, the shaking caused by the movement of the traditional conveyor belt is reduced, the stability of the movement is improved, and the damage to the glass caused by the bumps generated during transportation is reduced.

[0133] Specifically, in step S1, the feeding mechanism includes a bottom connecting groove 601, a side sliding platform 602 and a bottom fixed plate 603, the side sliding platform 602 is opened at the top of the bottom connecting groove 601, the outer side of the bottom fixed plate 603 is provided with a base 1, the bottom connecting groove 601 is opened on the inner side of the base 1, the top of the base 1 is fixedly connected with an annealing furnace 2, one side of the annealing furnace 2 is movably connected with a side cabinet door 3, one side of the base 1 is fixedly connected with a support platform 4, one side of the annealing furnace 2 is fixedly connected with an intelligent temperature controller 5, the top of the bottom fixed plate 603 is fixedly connected with a motor body 604, the output shaft of the motor body 604 is fixedly connected with a threaded rod 605, the surface of the threaded rod 605 is threadedly connected with an internal threaded collar 608, the top of the internal threaded collar 608 is fixedly connected with an inner connecting frame 609, the top of the inner connecting frame 609 is fixedly connected with a bottom storage table 6010, and the top of the bottom storage table 6010 is fixedly connected with a top storage table 6011.

[0134] In a specific embodiment of the present invention, it is assumed that in the glass annealing process, the system collects the following data in real time:

[0135] Feeding speed v(t): actual measurement is 1.8m / s.

[0136] Vibration acceleration A(t): Actual measurement is 3.5m / s 2 .

[0137] 1. Definition of fuzzy sets and input fuzzification

[0138] 1. Feeding speed v(t):

[0139] Low speed (L): 0.5 ≤ v (t) ≤ 1.2

[0140] Medium speed (M): 1.2≤v(t)≤2.0

[0141] High speed (H): 2.0≤v(t)≤3.0

[0142] Input v(t)=1.8m / s. According to the membership function calculation, the fuzzy value belonging to medium speed (M) is 0.75, and the fuzzy value belonging to high speed (H) is 0.25.

[0143] 2. Vibration acceleration A(t):

[0144] Low (L): 0 ≤ A (t) ≤ 2.0

[0145] Medium(M):2.0≤A(t)≤4.0

[0146] High (H): 4.0 ≤ A (t) ≤ 6.0

[0147] Input A(t) = 3.5 m / s 2 ,According to the membership function calculation, the fuzzy value belonging to medium acceleration (M) is 0.75, and the fuzzy value of high acceleration (H) is 0.25.

[0148] 2. Application of Fuzzy Rules

[0149] According to the above fuzzification results, select the appropriate fuzzy control rules. Take two of the rules as examples:

[0150] Rule 1: If the feed speed v(t) is medium and the vibration acceleration A(t) is medium, then the vibration displacement Δd(t) is medium.

[0151] Corresponding fuzzy values: feeding speed (0.75), vibration acceleration (0.75).

[0152] The comprehensive fuzzy output is min(0.75,0.75)=0.75

[0153] Rule 2: If the feed speed v(t) is high, and the vibration acceleration A(t) is high, then the vibration displacement Δd(t) is medium.

[0154] Corresponding fuzzy values: feeding speed (0.25), vibration acceleration (0.25).

[0155] The comprehensive fuzzy output is min(0.25,0.25)=0.25

[0156] 3. Dempster-Shafer Evidence Theory Integration

[0157] We integrate the above rule results and fuse the information from different sources through the Dempster-Shafer theory to obtain the final vibration displacement prediction.

[0158] Basic Probability Allocation (BPA):

[0159] Credibility of rule 1: m5 = 0.75

[0160] Credibility of rule 2: m2 = 0.25

[0161] Evidence combination: Using the Dempster combination rule, the evidence of the two rules is combined, and the final vibration displacement credibility is:

[0162]

[0163] Where K is the conflict coefficient. Here, it can be assumed that the two rules have no conflict, that is, K = 0. Therefore, the credibility of the combined evidence is:

[0164] m combined =m5+m2=0.75+0.25=1.0

[0165] The comprehensive credibility of the final predicted vibration displacement is 1.0, indicating that the system determines that the current predicted vibration displacement is "medium".

[0166] 4. Control command output

[0167] Based on the above evidence fusion results, the system determines that the vibration displacement Δd(t) is at a medium level, so the feed speed needs to be adjusted to reduce vibration.

[0168] Feeding speed adjustment:

[0169] The system detects that the feed speed is medium and predicts medium vibration displacement, so the system will slightly reduce the feed speed to further reduce vibration.

[0170] Output new feeding speed: v ′ (t) = v (t) - 0.2 = 1.6 m / s

[0171] 5. Final Execution

[0172] The control unit adjusts the feeding system through feedback and controls the feeding motor to execute the following instructions:

[0173] New feeding speed: 1.6m / s.

[0174] In a specific embodiment of the present invention, through the threaded connection between the threaded rod 605 and the internal threaded ring 608, the internal threaded ring 608 can be driven to move horizontally when the threaded rod 605 rotates. During the horizontal movement of the internal threaded ring 608 along the surface of the threaded rod 605, the bottom platform 6010 can be synchronously driven to slide along the surface of the side sliding platform 602 through the fixation of the internal connecting frame 609. The sliding of the two sides of the bottom platform 6010 and the side sliding platform 602 improves the stability of the movement of the bottom platform 6010.

[0175] Specifically, the exhaust mechanism includes:

[0176] A bottom connecting box 701, which is arranged on the top of the annealing furnace 2;

[0177] A top connecting box 702, which is fixedly connected to the top of the bottom connecting box 701;

[0178] The top exhaust pipe 703 is fixedly connected to the top of the top connecting box 702.

[0179] In a specific embodiment of the present invention, after being filtered, the exhaust gas will be discharged upward along the top connecting box 702 into the top exhaust pipe 703 , and the exhaust gas can be discharged through the two top exhaust pipes 703 .

[0180] Specifically, the discharge mechanism includes a connecting side plate 801, bolts 802 and a top protective box 803, the inner side of the top protective box 803 is fixedly connected to a bottom protective box 804, the output shaft of the bottom protective box 804 is fixedly connected to a transmission rod 805, and the bottom of the transmission rod 805 is fixedly connected to an exhaust fan 806.

[0181] In a specific embodiment of the present invention, the rotating transmission rod 805 will drive the exhaust fan 806 to rotate along the bottom connecting box 701. The rotating exhaust fan 806 will generate suction to draw the gas in the annealing furnace 2 upward along the bottom connecting box 701, thereby increasing the gas exhaust rate. At the same time, the rotating exhaust fan 806 will cool the exhaust gas, reduce the heat accumulation caused by poor fluidity during exhaust gas discharge, and improve the effect and efficiency of exhaust gas discharge.

[0182] Specifically, the cooling mechanism includes a liquid storage tank 901, a liquid inlet 902 and a liquid inlet pipe 903. The top of the top connecting box 702 is fixedly connected to the liquid storage tank 901, the top of the liquid storage tank 901 is fixedly connected to the liquid inlet 902, one side of the liquid storage tank 901 is fixedly connected to a liquid outlet pump 908, one side of the liquid outlet pump 908 is fixedly connected to a liquid outlet pipe 907, and one end of the liquid outlet pipe 907 is fixedly connected to a heat exchange sleeve 905.

[0183] In a specific embodiment of the present invention, after adding coolant into the liquid storage tank 901, the liquid outlet pump 908 is started, and the liquid in the liquid storage tank 901 is pumped into the liquid outlet pipe 907 by the liquid outlet pump 908, and the coolant is pumped into the heat exchange sleeve 905 through the liquid outlet pipe 907. The heat exchange sleeve 905 is hollow, and the inner wall of the heat exchange sleeve 905 is in contact with the surface of the top exhaust pipe 703. After the coolant enters the heat exchange sleeve 905, the temperature of the heat exchange sleeve 905 will be reduced.

[0184] Specifically, a bottom connecting frame 704 is fixedly connected to the inner side of the bottom connecting box 701 , a top connecting frame 705 is provided on the top of the bottom connecting frame 704 , and a filter screen 706 is fixedly connected to the inner side of the bottom connecting frame 704 and the inner side of the top connecting frame 705 .

[0185] In a specific embodiment of the present invention, a bottom connecting frame 704 and a top connecting frame 705 are provided in the bottom connecting box 701. The bottom connecting frame 704 and the top connecting frame 705 are arranged in parallel along the inner side of the bottom connecting box 701, and filter nets 706 are provided on the inner sides of the bottom connecting frame 704 and the top connecting frame 705. The two filter nets 706 can capture and block particulate matter in the exhaust gas to reduce the diffusion of particulate matter.

[0186] Specifically, a connecting side plate 801 is fixedly connected to the inner side of the bottom connecting box 701 , a bolt 802 is threadedly connected to the surface of the connecting side plate 801 , and one side of the bolt 802 is threadedly connected to the surface of the bottom connecting box 701 .

[0187] In a specific embodiment of the present invention, the bottom protection box 804 is fixed to the top of the connecting side plate 801 through the top protection box 803, and the connecting side plate 801 is fixed to the inner side of the bottom connecting box 701 by two bolts 802. The bottom protection box 804 is limited and fixed by the top protection box 803 to reduce the displacement and vibration generated by the bottom protection box 804 during operation.

[0188] Specifically, one end of the threaded rod 605 is movably connected to a bearing plate 606 , and one side of the bearing plate 606 is movably connected to a side fixing plate 607 .

[0189] In a specific embodiment of the present invention, the threaded rod 605 is driven to rotate by the motor body 604 . When rotating, the threaded rod 605 is movably connected and supported with the side fixing plate 607 through the bearing disk 606 , and the stable rotation of the threaded rod 605 is maintained by the side fixing plate 607 .

[0190] Specifically, two heat exchange sleeves 905 are provided, and the surfaces of the two heat exchange sleeves 905 are fixedly connected with heat sinks 906 , and the number of heat sinks 906 is plural.

[0191] In a specific embodiment of the present invention, a plurality of heat sinks 906 are provided on the outer surface of the heat exchange sleeve 905. The plurality of heat sinks 906 are used to increase the heat dissipation area of ​​the heat exchange sleeve 905, improve the cooling efficiency of the coolant, and reduce the impact of high-temperature exhaust gas discharge on the surrounding environment by cooling the exhaust gas, thereby improving the safety of exhaust gas discharge.

[0192] Specifically, a liquid inlet pipe 903 is fixedly connected to the bottom of the heat exchange sleeve 905 , one end of the liquid inlet pipe 903 is fixedly connected to a liquid inlet pump 904 , and one side of the liquid inlet pump 904 is fixedly connected to one side of the liquid storage tank 901 .

[0193] In a specific embodiment of the present invention, the coolant is driven by the liquid inlet pump 904 and discharged into the liquid storage tank 901 along the liquid inlet pipe 903 in the heat exchange sleeve 905. By forming a circulation by flowing the coolant back into the liquid storage tank 901 along the liquid inlet pipe 903, the cooling effect of the coolant on the top exhaust pipe 703 is improved.

[0194] The working principle of the blade automatic discharge process provided by the present invention is:

[0195] S1, the initial positions of the bottom platform 6010 and the top platform 6011 are placed on the top of the support platform 4, and the glass to be annealed is placed on the surface of the bottom platform 6010 and the top platform 6011, and the motor body 604 is started, and the threaded rod 605 is driven to rotate by the motor body 604, and the threaded rod 605 is supported by the bearing plate 606 and the side fixing plate 607 during rotation, and the stable rotation of the threaded rod 605 is maintained by the side fixing plate 607, and the threaded connection between the threaded rod 605 and the internal threaded ring 608 can drive the internal threaded ring 608 to move horizontally when the threaded rod 605 rotates, and the internal threaded ring 608 moves horizontally along the surface of the threaded rod 605 during the horizontal movement of the internal threaded ring 608, and the bottom platform 6010 is synchronously driven to slide along the surface of the side sliding platform 602 through the fixing of the inner connecting frame 609, and the stability of the movement of the bottom platform 6010 is improved through the sliding of the two sides of the bottom platform 6010 and the side sliding platform 602;

[0196] S2, by driving the bottom storage platform 6010 to move horizontally and stably along the top of the base 1, the shaking caused by the movement of the traditional conveyor belt is reduced, the stability of the movement is improved, and the damage to the glass caused by the bumps during transportation is reduced;

[0197] S3. When the annealing furnace 2 is working, the temperature in the annealing furnace 2 is intelligently and electrically controlled by the intelligent temperature controller 5. At the same time, more exhaust gas will be generated in the annealing furnace 2, and the high-temperature exhaust gas will enter the bottom connecting box 701. The bottom connecting box 701 is provided with a bottom connecting frame 704 and a top connecting frame 705. The bottom connecting frame 704 and the top connecting frame 705 are arranged in parallel along the inner side of the bottom connecting box 701, and the inner sides of the bottom connecting frame 704 and the top connecting frame 705 are both provided with a filter screen 706. The two filter screens 706 can capture and block particulate matter in the exhaust gas to reduce the diffusion of particulate matter. After filtering, the exhaust gas will be discharged upward along the top connecting box 702 to the top exhaust pipe 703. The exhaust gas can be discharged through the two top exhaust pipes 703. The exhaust gas is filtered to improve the exhaust gas emission effect and reduce the damage to the surrounding environment caused by the high-temperature particulate matter contained in the exhaust gas.

[0198] S4. During the exhaust gas discharge process, the bottom protection box 804 is started, and the bottom protection box 804 is fixed to the top of the connecting side plate 801 through the top protection box 803, and the connecting side plate 801 is fixed to the inner side of the bottom connecting box 701 through two bolts 802. The top protection box 803 limits and fixes the bottom protection box 804, thereby reducing the displacement and vibration generated by the bottom protection box 804 during operation;

[0199] S5. After the bottom protection box 804 is started, the driving rod 805 is driven to rotate. The rotating driving rod 805 drives the exhaust fan 806 to rotate along the bottom connecting box 701. The rotating exhaust fan 806 generates suction to draw the gas in the annealing furnace 2 upward along the bottom connecting box 701, thereby increasing the gas discharge rate. At the same time, the rotating exhaust fan 806 cools down the exhaust gas, reduces the heat accumulation caused by the poor fluidity of the exhaust gas during discharge, and improves the effect and efficiency of the exhaust gas discharge.

[0200] S6. During the process of gas being discharged along the two top exhaust pipes 703, first, coolant is added to the liquid storage tank 901 through the liquid inlet 902. After the coolant is added to the liquid storage tank 901, the liquid outlet pump 908 is started, and the liquid in the liquid storage tank 901 is pumped into the liquid outlet pipe 907 through the liquid outlet pump 908, and the coolant is pumped into the heat exchange sleeve 905 through the liquid outlet pipe 907. The heat exchange sleeve 905 is in a hollow state, and the inner wall of the heat exchange sleeve 905 is in contact with the surface of the top exhaust pipe 703. After the coolant enters the heat exchange sleeve 905, the temperature of the heat exchange sleeve 905 is reduced, and the contact between the heat exchange sleeve 905 and the top exhaust pipe 703 can continuously reduce the temperature of the top exhaust pipe 703, and reduce the temperature of the exhaust gas in the top exhaust pipe 703;

[0201] S7. The coolant is driven by the liquid inlet pump 904 and discharged into the liquid storage tank 901 along the liquid inlet pipe 903 in the heat exchange sleeve 905. By flowing the coolant back to the liquid storage tank 901 along the liquid inlet pipe 903 to form a cycle, the cooling effect of the coolant on the top exhaust pipe 703 is improved. The outer surface of the heat exchange sleeve 905 is provided with a plurality of heat sinks 906. The heat dissipation area of ​​the heat exchange sleeve 905 is increased by using the plurality of heat sinks 906, and the cooling efficiency of the coolant is improved. By cooling the exhaust gas, the impact of the high-temperature exhaust gas discharge on the surrounding environment is reduced, and the safety of the exhaust gas discharge is improved.

[0202] It should be noted that the parts not described in detail in the present invention are all prior art, and the corresponding models can be selected according to actual needs. The internal structure and operating principle of the above parts are also common knowledge of those skilled in the art, and no further elaboration will be given on this.

[0203] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. The electrically heated glass annealing process based on intelligent temperature control is characterized by: The method comprises the following steps: S1. Loading the glass through a feeding mechanism so as to transport the glass; S2. Filtering the exhaust gas through the exhaust mechanism to filter the particulate matter; S3. The exhaust gas is discharged through the exhaust mechanism so as to transport the exhaust gas; S4. Cooling the exhaust gas by means of a cooling mechanism so as to discharge the exhaust gas.

2. The electrically heated glass annealing process based on intelligent temperature control according to claim 1 is characterized in that: In step S1, the feeding mechanism comprises a bottom connecting groove (601), a side sliding platform (602) and a bottom fixing plate (603), wherein the side sliding platform (602) is arranged at the top of the bottom connecting groove (601), a base (1) is arranged on the outer side of the bottom fixing plate (603), the bottom connecting groove (601) is arranged on the inner side of the base (1), an annealing furnace (2) is fixedly connected to the top of the base (1), a side cabinet door (3) is movably connected to one side of the annealing furnace (2), a support platform (4) is fixedly connected to one side of the base (1), and the annealing furnace (2) is fixedly connected to the support platform (4). One side of the bottom fixing plate (603) is fixedly connected to an intelligent temperature controller (5); the top of the bottom fixing plate (603) is fixedly connected to a motor body (604); the output shaft of the motor body (604) is fixedly connected to a threaded rod (605); the surface of the threaded rod (605) is threadedly connected to an internal threaded collar (608); the top of the internal threaded collar (608) is fixedly connected to an inner connecting frame (609); the top of the inner connecting frame (609) is fixedly connected to a bottom storage platform (6010); and the top of the bottom storage platform (6010) is fixedly connected to a top storage platform (6011).

3. The electrically heated glass annealing process based on intelligent temperature control according to claim 2 is characterized in that: In step S1, sensors are embedded in the feeding mechanism to detect the transportation process in real time through an intelligent algorithm and dynamically adjust the feeding speed. The algorithm can learn the optimal conveying parameters under different annealing processes and environments, thereby reducing the impact of vibration on glass deformation. The specific process is as follows:

1. Sensor Data Collection and Monitoring 1. The acceleration sensor should be installed on the bottom fixing plate to monitor the overall vibration acceleration A(t) of the feeding system; 2. The feed speed sensor is installed near the output shaft on the motor body or directly on the rotation position of the threaded rod to monitor the feed speed v(t); 3. The displacement sensor should be installed on the bottom or top platform, close to the glass bearing part, to monitor the displacement change Δd(t) of the glass; 2. Data Preprocessing In order to train the model, the collected data needs to be cleaned and preprocessed; this step includes low-pass filtering and minimum-maximum normalization; The following takes acceleration data as an example, and the same is true for other data; (1) Filter denoising The original acceleration data is A(t), and the acceleration data after low-pass filtering is A′(t); Where A(t) is the original acceleration data at time t; N is the size of the sliding window, which is usually selected according to the specific signal; i is the current data sequence number; (2) Min-Max Normalization Among them, the maximum value of the acceleration data A(t) is A max , the minimum value is A min , then the normalized acceleration data is A′(t); 3. Model selection: Fusion control of fuzzy sets and Dempster-Shafer evidence theory based on differential evolution optimization; The differential evolution algorithm DE is used to optimize the membership function parameters in the fuzzy logic system and combined with the Dempster-Shafer evidence theory to form an efficient vibration control system.

1. Fuzzy logic control system design (1) Fuzzy set definition First, fuzzy sets are defined for each input variable in the feeding system; these variables include feeding speed v(t) and vibration acceleration A(t). Each variable has several fuzzy sets, and the membership function of each fuzzy set is optimized by differential evolution algorithm (DE). Input variables: Feeding speed v(t); Vibration acceleration A(t); Fuzzy Sets: X is a variable, and three fuzzy sets are defined: Low L; Middle M; High H; Membership function: The shape and parameters of the membership function of each fuzzy set can be optimized, using triangular membership function: Among them, μ L is the membership function, a, b, c are the membership function parameters to be optimized; (2) Fuzzy rule setting Establish fuzzy control rules and define the relationship between the input variables feed speed v(t), vibration acceleration A(t) and output vibration displacement Δd(t); Rule 1: Condition: If the feed speed v(t) is high, and the vibration acceleration A(t) is high; Result: The vibration displacement △d(t) is high; Rule 2: Condition: If the feed speed v(t) is medium, and the vibration acceleration A(t) is high; Result: Then the vibration displacement △d(t) is medium; Rule 3: Condition: If the feed speed v(t) is medium, and the vibration acceleration A(t) is medium; Result: Then the vibration displacement △d(t) is medium; Rule 4: Condition: If the feed speed v(t) is medium and the vibration acceleration A(t) is low; Result: The vibration displacement △d(t) is low; Rule 5: Condition: If the feed speed v(t) is low and the vibration acceleration A(t) is medium; Result: Then the vibration displacement △d(t) is medium; Rule 6: Condition: If the feed speed v(t) is low, and the vibration acceleration A(t) is low; Result: The vibration displacement △d(t) is low; 2. Differential evolution algorithm optimizes membership function In order to further improve the accuracy of the fuzzy system, the differential evolution algorithm DE is used to optimize the membership function parameters so that the fuzzy control system can better adapt to the input of feeding speed and vibration acceleration; (1) Population initialization Objective: Optimize the membership function parameters of each input variable in the fuzzy system; Population initialization: randomly generate multiple individuals, each of which contains the parameters a, b, c of the membership function. These individuals constitute the initial population; (2) Core steps of differential evolution algorithm Mutation: Generate mutant individuals v by randomly selecting three different individuals i , the formula is as follows: v i =x r 1+F·(x r 2-x r 3) Among them, v i is a mutant individual, x r 1,x r 2, x r 3 is three individuals randomly selected from the population, and F is the scaling factor; Crossover: The mutant individual v i With the current individual x i Perform crossover to generate new candidate solutions u i , the crossover formula is: Among them, v i,j is the value of variant individual i in the jth dimension, x i,j is the value of the current individual i in the jth dimension, u i,j is the value of candidate solution i in the jth dimension, rand j (0,1) is a random number in the interval [0,1], CR is the crossover probability; Selection: Compare candidate solutions u i With the current individual x i The mean square error of selects better individuals to enter the next generation: Where MSE is the mean square error, is the solution of the new generation individual i for the next generation; (3) Optimization goals of differential evolution The optimization goal is to minimize the error of the fuzzy system output vibration displacement Δd(t); that is, to minimize the following objective function: in, is the predicted vibration displacement, Δd i is the actual measured vibration displacement, n represents the number of samples, and i represents the current sample number; 3. Dempster-Shafer Evidence Theory Integration In the optimized fuzzy system, different sensor data are integrated through Dempster-Shafer evidence theory to enhance the robustness of the system; (1) Basic Probability Allocation (BPA) Assign basic probabilities to the feed speed v(t) and vibration acceleration A(t); these probabilities represent the credibility of each sensor data; For the feeding speed v(t), the basic probabilities of its fuzzy set low speed, medium speed and high speed are m respectively. L (v),m M (v),m H (v); (2) Rules for Combining Evidence Dempster combination rules are used to integrate the evidence from different sensors to generate the final system decision; the combination rules are: Among them, m1(B) and m2(C) are the basic probabilities of the two sets of evidence, m 12 (A) is the combined evidence, K is the conflict coefficient, and B∩C=A means that the intersection of evidence B and evidence C is A; (3) Final decision After integrating the inputs of different sensors through the Dempster-Shafer theory, the system can obtain a comprehensive vibration prediction result, and then output the optimal control instruction of the feeding speed v(t) to adjust the system operation to reduce vibration; 4. Control Execution The final decision is to send a control signal to the feed speed control actuator through the intelligent feed and vibration controller; Feeding speed control actuator: The motor body and threaded rod in the feeding system are the actuators for adjusting the feeding speed; the control unit controls the motor speed to adjust the feeding speed v(t) according to the fuzzy system decision after differential evolution optimization.

4. The electrically heated glass annealing process based on intelligent temperature control according to claim 2 is characterized in that: The exhaust mechanism comprises: A bottom connecting box (701) is arranged on the top of the annealing furnace (2); A top connecting box (702) fixedly connected to the top of the bottom connecting box (701); The top exhaust pipe (703) is fixedly connected to the top of the top connecting box (702).

5. The electrically heated glass annealing process based on intelligent temperature control according to claim 4 is characterized in that: The discharge mechanism comprises a connecting side plate (801), bolts (802) and a top protection box (803); the inner side of the top protection box (803) is fixedly connected to a bottom protection box (804); the output shaft of the bottom protection box (804) is fixedly connected to a transmission rod (805); and the bottom of the transmission rod (805) is fixedly connected to an exhaust fan (806).

6. The electrically heated glass annealing process based on intelligent temperature control according to claim 5 is characterized in that: The cooling mechanism comprises a liquid storage tank (901), a liquid inlet (902) and a liquid inlet pipe (903); the top of the top connecting box (702) is fixedly connected to the liquid storage tank (901); the top of the liquid storage tank (901) is fixedly connected to the liquid inlet (902); one side of the liquid storage tank (901) is fixedly connected to a liquid outlet pump (908); one side of the liquid outlet pump (908) is fixedly connected to a liquid outlet pipe (907); one end of the liquid outlet pipe (907) is fixedly connected to a heat exchange sleeve (905).

7. The electrically heated glass annealing process based on intelligent temperature control according to claim 6 is characterized in that: A bottom connecting frame (704) is fixedly connected to the inner side of the bottom connecting box (701), a top connecting frame (705) is arranged on the top of the bottom connecting frame (704), and a filter screen (706) is fixedly connected to the inner side of the bottom connecting frame (704) and the inner side of the top connecting frame (705); A connecting side plate (801) is fixedly connected to the inner side of the bottom connecting box (701), a bolt (802) is threadedly connected to the surface of the connecting side plate (801), and one side of the bolt (802) is threadedly connected to the surface of the bottom connecting box (701).

8. The electrically heated glass annealing process based on intelligent temperature control according to claim 2 is characterized in that: One end of the threaded rod (605) is movably connected to a bearing disc (606), and one side of the bearing disc (606) is movably connected to a side fixing plate (607).

9. The electrically heated glass annealing process based on intelligent temperature control according to claim 6 is characterized in that: Two heat exchange sleeves (905) are provided, and heat sinks (906) are fixedly connected to the surfaces of the two heat exchange sleeves (905), and the number of the heat sinks (906) is plural.

10. The electrically heated glass annealing process based on intelligent temperature control according to claim 9 is characterized in that: The bottom of the heat exchange sleeve (905) is fixedly connected to a liquid inlet pipe (903), one end of the liquid inlet pipe (903) is fixedly connected to a liquid inlet pump (904), and one side of the liquid inlet pump (904) is fixedly connected to one side of the liquid storage tank (901).

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