Belt speed optimization method in belt changing process of horizontal continuous annealing furnace

Abstract

A belt speed optimization method in a belt changing process of a horizontal continuous annealing furnace comprises the following steps: S1, constructing a belt speed prediction model, and correcting the constructed belt speed prediction model by using historical belt changing data; s2, monitoring in-furnace data and strip steel data in real time, and processing the in-furnace data and the strip steel data to obtain processed data; s3, inputting the processed data into the corrected strip speed prediction model, and predicting to obtain the optimal strip speed of the current horizontal continuous annealing furnace in the strip changing process; s4, before belt changing of the horizontal continuous annealing furnace, according to the optimal belt speed in the belt changing process of the current horizontal continuous annealing furnace obtained through prediction and the in-furnace state of the current horizontal continuous annealing furnace, the optimal belt speed set value is determined, and the belt speed is adjusted so that the current belt speed can be adjusted to the optimal initial belt speed; s5, in the belt changing process, the belt speed is dynamically adjusted according to the optimal belt speed set value; and S6, after belt replacement is completed, the belt speed is recovered to the normal production speed. The method obviously improves the stability and safety of the production line.

Description

Technical Field

[0001] The invention relates to the technical field of annealing of a horizontal continuous annealing furnace, and in particular to a belt speed optimization method in a belt changing process of a horizontal continuous annealing furnace. Background Art

[0002] In the metal processing and heat treatment industries, horizontal continuous annealing furnaces are widely used as key equipment in the production processes of strip annealing, heat treatment and galvanizing. The strip changing process is an important link in the continuous production operation of the horizontal continuous annealing furnace, and its efficiency and stability directly affect the production capacity and product quality of the entire production line.

[0003] However, in the traditional belt changing process, the setting of belt speed often depends on the operator's experience and judgment, and lacks scientific optimization methods, which leads to fluctuations in strip temperature, high energy consumption, increased equipment wear, and even production accidents such as strip deviation and breakage. Therefore, further improvements are needed to the existing technology. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a belt speed optimization method in the belt changing process of a horizontal continuous annealing furnace which can ensure production safety in view of the above-mentioned prior art.

[0005] The technical solution adopted by the present invention to solve the above technical problems is: a method for optimizing the belt speed during the belt changing process of a horizontal continuous annealing furnace, characterized by comprising the following steps:

[0006] S1. Constructing a belt speed prediction model, obtaining historical belt changing data during the belt changing process of the horizontal continuous annealing furnace, and using the historical belt changing data to correct the constructed belt speed prediction model to obtain a corrected belt speed prediction model. The corrected belt speed prediction model can predict the optimal belt speed during the belt changing process of the horizontal continuous annealing furnace;

[0007] S2. Real-time monitoring of furnace data and strip data of the current horizontal continuous annealing furnace, and processing of the furnace data and strip data of the current horizontal continuous annealing furnace to obtain processed data;

[0008] S3, inputting the processed data into the revised belt speed prediction model, and combining with the historical belt changing data, predicting the optimal belt speed in the current horizontal continuous annealing furnace belt changing process;

[0009] S4, before changing the belt of the horizontal continuous annealing furnace, determine the optimal belt speed setting value according to the predicted optimal belt speed in the current belt changing process of the horizontal continuous annealing furnace and the current furnace state of the horizontal continuous annealing furnace, and adjust the belt speed according to the determined optimal belt speed setting value so that the current belt speed is adjusted to the optimal initial belt speed;

[0010] S5. During the belt changing process of the horizontal continuous annealing furnace, the belt speed is dynamically adjusted according to the optimal belt speed setting value to ensure smooth belt changing of the horizontal continuous annealing furnace;

[0011] S6. After the belt is replaced in the horizontal continuous annealing furnace, the belt speed is restored to the normal production speed.

[0012] Preferably, the historical strip changing data in S1 includes the furnace temperature, strip tension and position signal of the horizontal continuous annealing furnace.

[0013] Preferably, the calculation formula satisfied by each furnace section in the horizontal continuous annealing furnace during the belt changing process is:

[0014] B j (Q dw +L n C a T a +C f T f )+Q up =Q sr +Q ch +Q rc +Q down +W s H s V s (C s t sj -C s t s(j-1) )

[0015] Among them, B j is the current furnace section fuel consumption, Q dw is the low calorific value of the fuel, L n is the actual air requirement, C a is the average specific heat of the preheated air, T a is the preheat temperature of the air, C f is the average specific heat of the preheated fuel, T f is the preheating temperature of the fuel, Q up is the heat brought into the upstream flue gas of the jth furnace section, Q sr is the heat dissipation of the lining of the jth furnace section, Q ch is the heat of incomplete chemical combustion, Q rc is other heat loss, Q down is the heat carried away by the flue gas downstream of the jth furnace section, W s is the strip thickness, H s is the strip width, V s is the strip speed, C s is the specific heat capacity of the strip, t sj is the strip temperature of the jth furnace section, t s(j-1) is the strip temperature of the j-1 furnace section;

[0016] The above calculation formula corresponds to the belt speed prediction model.

[0017] Preferably, before dynamically adjusting the belt speed according to the optimal belt speed setting value in S5, the following judgment is also included:

[0018] The following calculation formula is used to determine whether the current strip steel needs to be decelerated. The basis for the determination is:

[0019]

[0020] Among them, σ act is the actual tension value of the current strip steel, σ max1 is the current maximum allowable tension value of the strip steel, σ max2 It is the maximum allowable tension value of the strip after strip change.

[0021] Preferably, the specific process of dynamically adjusting the belt speed according to the optimal belt speed setting value in S5 is:

[0022]

[0023] Among them, ΔV is the speed increase or decrease rate of the belt after the belt is changed, ΔV max is the speed increase or decrease rate allowed by the equipment, H1 and H2 are the thickness of the current strip and the thickness of the strip after strip change, is the furnace-out temperature corresponding to the minimum thickness of the current strip and the strip after strip change, It is the furnace-out temperature corresponding to the strip with the maximum thickness between the current strip and the strip after strip change.

[0024] Compared with the prior art, the advantages of the present invention are: by constructing a belt speed prediction model and real-time monitoring of the furnace data and strip data of the current horizontal continuous annealing furnace, the belt speed optimization in the belt changing process of the horizontal continuous annealing furnace is realized, the belt changing time is significantly shortened, and the continuous operation capacity of the production line is improved; by optimizing the belt speed, unnecessary energy consumption losses can be reduced and energy utilization efficiency can be improved; and a smooth belt changing process helps to reduce wear and damage of equipment components, extend the service life of the equipment, and significantly improve the stability and safety of the production line. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 The present invention is a flow chart of a belt speed optimization method in a belt changing process of a horizontal continuous annealing furnace according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] The present invention is further described in detail below with reference to the accompanying drawings.

[0027] like Figure 1 As shown, the belt speed optimization method in the belt changing process of the horizontal continuous annealing furnace in this embodiment includes the following steps:

[0028] S1. Constructing a belt speed prediction model, obtaining historical belt changing data during the belt changing process of the horizontal continuous annealing furnace, and using the historical belt changing data to correct the constructed belt speed prediction model to obtain a corrected belt speed prediction model. The corrected belt speed prediction model can predict the optimal belt speed during the belt changing process of the horizontal continuous annealing furnace;

[0029] In this embodiment, the historical belt-changing data include the furnace temperature, strip tension and position signal of the horizontal continuous annealing furnace, etc. The belt speed prediction model comprehensively considers the heat distribution in the furnace, the strip tension limit and the influence of the belt-changing mechanical action on the belt speed, ensuring that the model can accurately reflect the dynamic changes in the belt-changing process;

[0030] In this embodiment, a temperature sensor for monitoring the temperature in the furnace, a tension sensor for detecting the tension of the strip, and a position sensor for detecting the position signal can be installed at key positions of the horizontal continuous annealing furnace;

[0031] In this embodiment, the calculation formula satisfied by each furnace section in the horizontal continuous annealing furnace during the belt changing process is:

[0032] B j (Q dw +L n C a T a +C f T f )+Q up =Q sr +Q ch +Q rc +Q down +W s H s V s (C s t sj -C s t s(j-1) )

[0033] Among them, B j is the current furnace section fuel consumption, Q dw is the low calorific value of the fuel, L n is the actual air requirement, C a is the average specific heat of the preheated air, T a is the preheat temperature of the air, C f is the average specific heat of the preheated fuel, T f is the preheating temperature of the fuel, Q up is the heat brought into the upstream flue gas of the jth furnace section, Q sr is the heat dissipation of the lining of the jth furnace section, Q ch is the heat of incomplete chemical combustion, Q rcis other heat loss (including heat dissipation from furnace rollers, air leakage, etc.), Q down is the heat carried away by the flue gas downstream of the jth furnace section, W s is the strip thickness, H s is the strip width, V s is the strip speed, C s is the specific heat capacity of the strip, t sj is the strip temperature of the jth furnace section, t s(j-1) is the strip temperature of the j-1 furnace section;

[0034] The above calculation formula corresponds to the belt speed prediction model;

[0035] S2. Real-time monitoring of furnace data and strip data of the current horizontal continuous annealing furnace, and processing of the furnace data and strip data of the current horizontal continuous annealing furnace to obtain processed data;

[0036] In this embodiment, the temperature sensor, tension sensor and position sensor are used to collect data in real time, and the tape change data is cleaned, screened, and noise and abnormal value are removed to ensure the accuracy and reliability of the data.

[0037] S3, inputting the processed data into the revised belt speed prediction model, and combining with the historical belt changing data, predicting the optimal belt speed in the current horizontal continuous annealing furnace belt changing process;

[0038] S4, before changing the belt of the horizontal continuous annealing furnace, determine the optimal belt speed setting value according to the predicted optimal belt speed in the current belt changing process of the horizontal continuous annealing furnace and the current furnace state of the horizontal continuous annealing furnace, and adjust the belt speed according to the determined optimal belt speed setting value so that the current belt speed is adjusted to the optimal initial belt speed;

[0039] S5. During the belt changing process of the horizontal continuous annealing furnace, the belt speed is dynamically adjusted according to the optimal belt speed setting value to ensure smooth belt changing of the horizontal continuous annealing furnace;

[0040] Before dynamically adjusting the belt speed according to the optimal belt speed setting value, the following judgments are also included:

[0041] The following calculation formula is used to determine whether the current strip steel needs to be decelerated. The basis for the determination is:

[0042]

[0043] Among them, σ act is the actual tension value of the current strip steel, σ max1 is the current maximum allowable tension value of the strip steel, σ max2 It is the maximum allowable tension value of the strip after strip replacement;

[0044] The calculation process of the belt speed increase or decrease rate fully considers the thickness change of the strip before and after the belt change and the target temperature of the strip before and after the belt change. The specific process of dynamically adjusting the belt speed according to the optimal belt speed setting value is as follows:

[0045]

[0046] Among them, ΔV is the speed increase or decrease rate of the belt after the belt is changed, ΔV max is the speed increase or decrease rate allowed by the equipment, H1 and H2 are the thickness of the current strip and the thickness of the strip after strip change, is the furnace-out temperature corresponding to the minimum thickness of the current strip and the strip after strip change, The temperature of the steel strip out of the furnace corresponding to the maximum thickness of the current steel strip and the steel strip after the steel strip change;

[0047] By dynamically adjusting the belt speed, it ensures that the belt can smoothly transition to the new belt during the belt change process, while reducing problems such as vibration and deviation caused by sudden speed changes;

[0048] S6. After the belt is replaced in the horizontal continuous annealing furnace, the belt speed is restored to the normal production speed.

[0049] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for optimizing belt speed during belt changing in a horizontal continuous annealing furnace, characterized in that The steps include: S1. Constructing a belt speed prediction model, obtaining historical belt changing data during the belt changing process of the horizontal continuous annealing furnace, and using the historical belt changing data to correct the constructed belt speed prediction model to obtain a corrected belt speed prediction model. The corrected belt speed prediction model can predict the optimal belt speed during the belt changing process of the horizontal continuous annealing furnace; S2. Real-time monitoring of furnace data and strip data of the current horizontal continuous annealing furnace, and processing of the furnace data and strip data of the current horizontal continuous annealing furnace to obtain processed data; S3, inputting the processed data into the revised belt speed prediction model, and combining with the historical belt changing data, predicting the optimal belt speed in the current horizontal continuous annealing furnace belt changing process; S4, before changing the belt of the horizontal continuous annealing furnace, determine the optimal belt speed setting value according to the predicted optimal belt speed in the current belt changing process of the horizontal continuous annealing furnace and the current furnace state of the horizontal continuous annealing furnace, and adjust the belt speed according to the determined optimal belt speed setting value so that the current belt speed is adjusted to the optimal initial belt speed; S5. During the belt changing process of the horizontal continuous annealing furnace, the belt speed is dynamically adjusted according to the optimal belt speed setting value to ensure smooth belt changing of the horizontal continuous annealing furnace; S6. After the belt is replaced in the horizontal continuous annealing furnace, the belt speed is restored to the normal production speed.

2. The belt speed optimization method in the belt changing process of the horizontal continuous annealing furnace according to claim 1, characterized in that: The historical strip changing data in S1 include the furnace temperature, strip tension and position signal of the horizontal continuous annealing furnace.

3. The belt speed optimization method in the belt changing process of the horizontal continuous annealing furnace according to claim 2, characterized in that: The calculation formula satisfied by each furnace section in the horizontal continuous annealing furnace during the belt changing process is: B j (Q dw +L n C a T a +C f T f )+Q up =Q sr +Q ch +Q rc +Q down +W s H s V s (C s t sj -C s t s(j-1) ) wherein, B j is the current furnace section fuel consumption, Q dw is the low calorific value of the fuel, L n is the actual air requirement, C a is the average specific heat of the preheated air, T a is the preheat temperature of the air, C f is the average specific heat of the preheated fuel, T f is the preheating temperature of the fuel, Q up is the heat brought into the upstream flue gas of the jth furnace section, Q sr is the heat dissipation of the lining of the jth furnace section, Q ch is the heat of incomplete chemical combustion, Q rc is other heat loss, Q down is the heat removed by the flue gas downstream of the jth furnace section, W is the strip thickness, H s is the strip width, V s is the strip speed, C s is the specific heat capacity of the strip, t sj is the strip temperature of the jth furnace section, t s(j-1) is the strip temperature of the j-1 furnace section; The above calculation formula corresponds to the belt speed prediction model.

4. The belt speed optimization method in the belt changing process of the horizontal continuous annealing furnace according to claim 3, characterized in that: Before dynamically adjusting the belt speed according to the optimal belt speed setting value in S5, the following determination is also included: The following calculation formula is used to determine whether the current strip steel needs to be decelerated. The basis for the determination is: Among them, σ act is the actual tension value of the current strip steel, σ max1 is the current maximum allowable tension value of the strip steel, σ max2 It is the maximum allowable tension value of the strip after strip change.

5. The belt speed optimization method in the belt changing process of the horizontal continuous annealing furnace according to claim 4, characterized in that: The specific process of dynamically adjusting the belt speed according to the optimal belt speed setting value in S5 is as follows: Among them, ΔV is the speed increase or decrease rate of the belt after the belt is changed, ΔV max is the speed increase or decrease rate allowed by the equipment, H1 and H2 are the thickness of the current strip and the thickness of the strip after strip change, is the furnace-out temperature corresponding to the minimum thickness of the current strip and the strip after strip change, It is the furnace-out temperature corresponding to the strip with the maximum thickness between the current strip and the strip after strip change.

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