Method and system for predicting thickness of hot galvanizing coating

Abstract

The invention discloses a method for predicting the thickness of a hot galvanizing coating. The method comprises the following steps: S1, data detection; s2, data processing; s3, data acquisition; s4, data analysis; s5, calculating data; and S6, displaying the data. The invention further discloses a hot galvanizing coating thickness prediction system. According to the invention, the problem that a large error is generated between a predicted value of an existing machine and a measured value measured by a thickness gauge is solved.

Description

Technical Field

[0001] The invention relates to a continuous hot-dip galvanizing technology for strip steel, and more specifically to a method and system for predicting the thickness of a hot-dip galvanizing coating. Background Art

[0002] Hot-dip galvanizing is a common anti-corrosion protection measure, usually used for the surface treatment of metal products. It is a layer of zinc coating formed by immersing the metal product in a heated zinc solution to cause a chemical reaction between zinc and the metal surface. Hot-dip galvanizing has good corrosion resistance and can effectively prevent metal products from oxidation, corrosion and wear. Zinc has a high electronegativity, so the zinc coating formed on the metal surface can be used as a cathodic protection layer to prevent the metal from being corroded by oxidants. Hot-dip galvanizing is widely used in steel products, pipelines, building materials, automotive parts and other fields. It not only provides excellent corrosion resistance, but also extends the service life of metal products.

[0003] The zinc layer thickness is a multivariable nonlinear model. It is difficult to accurately predict the zinc layer thickness. In the hot-dip galvanizing production lines in major steel mills, most of them use machines to predict the zinc layer thickness. After the prediction, it is compared with the zinc layer thickness value measured by the thickness gauge, and the error is input into the controller. The position of the air knife is adjusted by the controller. However, the parameters for predicting the zinc layer thickness currently only include the actual distance between the air knife and the strip, the gas pressure on the strip, the actual distance between the air knife and the zinc pot, and the strip speed. When the inclination of the strip surface is not considered, the predicted value will produce a large error with the actual value measured by the thickness gauge, affecting the quality of the product. Summary of the invention

[0004] In view of the defects existing in the prior art, the purpose of the present invention is to provide a method and system for predicting the thickness of a hot-dip galvanized coating, which solves the problem of large errors between the predicted values ​​of the existing machines and the actual values ​​measured by the thickness gauge.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] A first aspect of the present invention provides a method for predicting the thickness of a hot-dip galvanized coating, comprising the following steps:

[0007] S1, data detection;

[0008] S2, data processing;

[0009] S3, data collection;

[0010] S4, data analysis;

[0011] S5, data calculation;

[0012] S6. Data display.

[0013] Preferably, the data detection in step S1 specifically includes:

[0014] The position information and surface information of the strip are acquired in real time through the measuring sensor, and the acquired data is transmitted to the processing host.

[0015] Preferably, the data processing in step S2 specifically includes:

[0016] The processing host receives the data transmitted by the measuring sensor and substitutes the position information of the strip and the position information of the air knife into the three-dimensional model established in the processing host, constructs a two-dimensional point by taking out the values ​​of the X, Y coordinates from the three-dimensional point, and then transforms the projection of the constructed two-dimensional point into the projection coordinate system, and then constructs two point objects with the converted point coordinates, substitutes the two point objects into the formula to calculate the distance between the two point objects, and transmits the calculated data and the received surface information of the strip to the processing center.

[0017] Preferably, the data collection in step S3 specifically includes:

[0018] The position information of the left and right ends of the strip is acquired in real time by a data sensor, and the acquired data is transmitted to an analysis host.

[0019] Preferably, the data analysis in step S4 specifically includes:

[0020] The analysis host receives the data transmitted by the data sensor and establishes a three-dimensional model. The analysis host analyzes the position information of the left and right ends of the strip transmitted by the data sensor and substitutes it into the three-dimensional model to obtain the coordinate values ​​Q(x1, y1)P(x2, y2) of the left and right ends of the strip. The two coordinate values ​​are substituted into the formula to calculate the slope between the two coordinate values, and the calculated data is transmitted to the processing center.

[0021] Preferably, the data calculation in step S5 specifically includes:

[0022] The processing center receives the slope between the left and right ends of the strip transmitted by the analysis host, the actual distance value between the air knife and the strip, and the surface information of the strip transmitted by the processing host, and analyzes and processes the surface information of the strip through the processing center to obtain the current gas pressure to which the strip is subjected and the speed of the strip, and substitutes the actual distance value between the air knife and the strip, the slope between the left and right ends of the strip, the gas pressure to which the strip is subjected, the actual distance between the air knife and the zinc pot, and the speed of the strip into a formula to predict the current surface zinc layer thickness of the strip in real time.

[0023] Preferably, the data display in step S6 specifically includes:

[0024] The zinc layer thickness of the strip is measured by a thickness gauge, and the measured value is transmitted to the processing center; the processing center receives the measured value of the zinc layer thickness of the strip transmitted by the thickness gauge, and compares the predicted value of the zinc layer thickness of the strip with the measured value of the zinc layer thickness of the strip, calculates the error of the predicted value of the zinc layer thickness of the strip, and transmits the predicted value of the zinc layer thickness of the strip, the measured value of the zinc layer thickness of the strip and the error of the predicted value of the zinc layer thickness of the strip to a display for display.

[0025] A second aspect of the present invention provides a hot dip galvanizing coating thickness prediction system, comprising:

[0026] A measuring sensor is used to obtain the position information of the strip, the surface information of the strip and the position information of the air knife in real time;

[0027] A processing host, for receiving data from the measuring sensor and calculating the distance between two point objects through a three-dimensional model;

[0028] A data sensor, used to obtain the position information of the left and right ends of the strip in real time;

[0029] An analysis host, for receiving data from the data sensor, and calculating the slope between the coordinate values ​​of the left and right ends of the strip through a three-dimensional model;

[0030] A thickness gauge, used to measure the thickness of the zinc layer of the strip;

[0031] A processing center is used to receive the calculation result of the processing host, the calculation result of the analysis host and the data of the thickness gauge, and calculate the error of the predicted zinc layer thickness value of the strip;

[0032] A display, used for displaying the predicted value of the zinc layer thickness of the strip, the measured value of the zinc layer thickness of the strip and the error of the predicted value of the zinc layer thickness of the strip;

[0033] The hot-dip galvanizing coating thickness prediction system realizes the hot-dip galvanizing coating thickness prediction method.

[0034] Preferably, the processing host includes:

[0035] An analysis module, used for receiving and processing the data transmitted by the measurement sensor;

[0036] The transmission module is used to transmit the data analyzed and processed by the analysis module to the processing center.

[0037] Preferably, the processing center includes:

[0038] A receiving module, used for receiving data transmitted by the processing host, the analysis host and the thickness gauge;

[0039] The computing module is used for analyzing and processing the surface information of the strip.

[0040] The present invention provides a method and system for predicting the thickness of hot-dip galvanized coating, which has the following beneficial effects:

[0041] 1) The present invention receives data transmitted by a data sensor through an analysis host and establishes a three-dimensional model. The analysis host analyzes and processes the position information of the left and right ends of the strip transmitted by the data sensor and substitutes it into the three-dimensional model to obtain the coordinate values ​​of the left and right ends of the strip, substitutes it into a formula, calculates the slope between the two coordinate values, and transmits the calculated data to a processing center. The actual distance value between the air knife and the strip, the slope between the left and right ends of the strip, the gas pressure on the strip, the actual distance between the air knife and the zinc pot, and the strip speed are substituted into the formula by the processing center to predict the current zinc layer thickness on the surface of the strip in real time. Through the above steps, the slope between the left and right ends of the strip is substituted into the calculation formula when calculating the zinc layer thickness, so that the zinc layer thickness is more accurate when making a budget, reducing the error of the predicted value of the zinc layer thickness, and improving the quality of the product.

[0042] 2) The present invention receives the data transmitted by the measuring sensor through the analysis module, and substitutes the received position information of the strip and the position information of the air knife into the three-dimensional model established in the analysis module, reads the values ​​of the X and Y coordinates from the three-dimensional model to construct a two-dimensional point, and then transforms the projection of the constructed two-dimensional point into the projection coordinate system, and constructs two point objects using the converted point coordinates, and substitutes the two point objects into the formula to calculate the actual distance between the air knife and the strip. Through continuous calculation of the analysis module, the actual distance between the air knife and the strip is measured in real time, thereby reducing the actual measurement delay.

[0043] 3) The present invention displays the predicted zinc layer thickness value and the error between the zinc layer thickness value actually measured by the thickness gauge and the predicted zinc layer thickness value through a display, so that the operator can better observe the data of the predicted zinc layer thickness value and the zinc layer thickness value actually measured by the thickness gauge, and adjust the position of the air knife more quickly according to the calculated error value. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a schematic flow chart of a method for predicting the thickness of a hot-dip galvanized coating according to the present invention;

[0045] Figure 2 It is a schematic diagram of the flow of data calculation in the method for predicting the thickness of hot-dip galvanized coating of the present invention;

[0046] Figure 3It is a schematic diagram of the framework structure of the hot-dip galvanizing coating thickness prediction system of the present invention. DETAILED DESCRIPTION

[0047] In order to better understand the above technical solution of the present invention, the technical solution of the present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0048] Combination Figures 1 to 3 As shown, a method for predicting the thickness of a hot-dip galvanized coating provided by the present invention comprises the following steps:

[0049] S1, data detection, obtaining the position information and surface information of the strip 2 in real time through the measuring sensor 1, and transmitting the obtained data to the processing host 3.

[0050] S2, data processing, receiving the data transmitted by the measuring sensor 1 through the processing host 3 and substituting the position information of the strip 2 and the position information of the air knife into the three-dimensional model established in the processing host 3, constructing a two-dimensional point by taking out the values ​​of the X, Y coordinates from the three-dimensional point, and then converting the projection of the constructed two-dimensional point to the projection coordinate system, and then constructing two point objects with the converted point coordinates, substituting the two point objects into the formula to calculate the distance between the two point objects, and transmitting the calculated data and the received surface information of the strip 2 to the processing center 4.

[0051] S3, data acquisition, obtaining the position information of the left and right ends of the strip 2 in real time through the data sensor 5, and transmitting the obtained data to the analysis host 6.

[0052] S4, data analysis, by analyzing the host 6 receiving the data transmitted by the data sensor 5 and establishing a three-dimensional model, the host 6 analyzes the position information of the left and right ends of the strip transmitted by the data sensor 5 and substitutes it into the three-dimensional model, and obtains the coordinate values ​​Q(x1, y1)P(x2, y2) of the left and right ends of the strip 2, substitutes the two obtained coordinate values ​​into the formula, calculates the slope between the two coordinate values, and transmits the calculated data to the processing center 4.

[0053] S5, data calculation, receiving the slope between the left and right ends of the strip 2 transmitted by the analysis host 6 and the actual distance value between the air knife and the strip 2, and the surface information of the strip 2 transmitted by the processing host 3 through the processing center 4, analyzing and processing the surface information of the strip 2 through the processing center 4, obtaining the current gas pressure on the strip 2 and the speed of the strip 2, and substituting the actual distance value between the air knife and the strip 2, the slope between the left and right ends of the strip 2, the gas pressure on the strip 2, the actual distance between the air knife and the zinc pot, and the speed of the strip 2 into the formula, real-time predicting the current surface zinc layer thickness of the strip 2, and realizing the measurement of the surface zinc layer thickness of the strip 2, such as Figure 2 shown.

[0054] S6. Data shows that the zinc layer thickness of the strip 2 is measured by the thickness gauge 7, and the measured value is transmitted to the processing center 4. The processing center 4 receives the measured value of the zinc layer thickness of the strip 2 transmitted by the thickness gauge 7, and compares the predicted zinc layer thickness value of the strip 2 with the measured zinc layer thickness value of the strip 2, calculates the error of the predicted zinc layer thickness value of the strip 2, and transmits the predicted zinc layer thickness value of the strip 2, the measured zinc layer thickness value of the strip 2 and the error of the predicted zinc layer thickness value of the strip 2 to the display 8, and displays the predicted zinc layer thickness value of the strip 2, the measured zinc layer thickness value of the strip 2 and the error of the predicted zinc layer thickness value of the strip 2 on the display.

[0055] Refer to Figure 3 As shown, the present invention also provides a hot-dip galvanizing coating thickness prediction system, comprising:

[0056] A measuring sensor 1 is used to obtain the position information of the strip 2, the surface information of the strip 2 and the position information of the air knife in real time;

[0057] A processing host 3 is used to receive data from the measuring sensor 1 and calculate the distance between two point objects through a three-dimensional model;

[0058] A data sensor 5 is used to obtain the position information of the left and right ends of the strip 2 in real time;

[0059] An analysis host 6 is used to receive data from the data sensor 5 and calculate the slope between the coordinate values ​​of the left and right ends of the strip 2 through a three-dimensional model;

[0060] A thickness gauge 7, used to measure the thickness of the zinc layer of the strip 2;

[0061] The processing center 4 is used to receive the calculation results of the processing host 3, analyze the calculation results of the host 6 and the data of the thickness gauge 7, and calculate the error of the predicted zinc layer thickness value of the strip 2;

[0062] A display 8, for displaying the predicted value of the zinc layer thickness of the strip 2, the measured value of the zinc layer thickness of the strip 2 and the error of the predicted value of the zinc layer thickness of the strip 2;

[0063] The hot-dip galvanizing coating thickness prediction method of the present invention is realized by the hot-dip galvanizing coating thickness prediction system of the present invention.

[0064] The processing host 3 includes:

[0065] An analysis module 301 is used to receive and process data transmitted by the measurement sensor 1;

[0066] The transmission module 302 is used to transmit the data analyzed and processed by the analysis module 301 and the surface information of the received strip to the processing center 4 .

[0067] The data transmitted by the measuring sensor 1 is received by the analysis module 301, and the position information of the strip 2 and the position information of the air knife are substituted into the three-dimensional model established in the analysis module 301. The values ​​of the X and Y coordinates are read from the three-dimensional model to construct a two-dimensional point. The projection of the constructed two-dimensional point is then converted to the projection coordinate system, and two point objects are constructed using the converted point coordinates. The two point objects are substituted into the formula to calculate the distance between the two point objects.

[0068] The processing center 4 includes:

[0069] The receiving module 401 is used to receive data transmitted by the processing host 3, the analysis host 6 and the thickness gauge 7;

[0070] The calculation module 402 is used to analyze and process the surface information of the strip 2 .

[0071] The receiving module 401 receives the slope between the left and right ends of the strip 2 transmitted by the analysis host 6, the measured value of the zinc layer thickness of the strip 2 transmitted by the thickness gauge 7, and the actual distance value between the air knife and the strip 2 and the surface information of the strip 2 transmitted by the processing host 3.

[0072] The surface information of the strip 2 is analyzed and processed by the calculation module 402 to obtain the gas pressure and speed of the strip 2 currently applied to the strip 2, and the actual distance between the air knife and the strip 2, the slope between the left and right ends of the strip 2, the gas pressure applied to the strip 2, the actual distance between the air knife and the zinc pot, and the speed of the strip 2 are substituted into the formula to predict the current zinc layer thickness on the surface of the strip 2 in real time, and measure the zinc layer thickness on the surface of the strip 2. The predicted zinc layer thickness value of the strip 2 is compared with the zinc layer thickness value of the strip 2 actually measured by the thickness gauge 7 by the calculation module 402 to calculate the error of the predicted zinc layer thickness value of the strip 2, and the predicted zinc layer thickness value of the strip 2 and the error between the zinc layer thickness value of the strip 2 actually measured by the thickness gauge 7 and the predicted zinc layer thickness value of the strip 2 are transmitted to the display 8.

[0073] Example

[0074] refer to Figures 1 to 3 As shown, the measuring sensor 1 is installed near the air knife so that the position of the measuring sensor 1 corresponds to the position of the air knife. The measuring sensor 1 is started so that the measuring sensor 1 can obtain the position information of the strip 2 and the surface information of the strip 2 in real time, and transmit the acquired data to the processing host 3. The processing host 3 substitutes the position information of the strip 2 and the position information of the air knife into the three-dimensional model established in the processing host 3, and takes out the values ​​of the X and Y coordinates from the three-dimensional points to construct the two-dimensional points, and calculates the actual distance between the air knife and the strip 2.

[0075] The data sensor 5 is installed on the top of the strip 2, and the data sensor 5 is started so that it can obtain the position information of the left and right ends of the strip 2 in real time, and transmit the acquired data to the analysis host 6. The position information of the left and right ends of the strip 2 is analyzed by the analysis host 6 and substituted into the three-dimensional model to obtain the coordinate values ​​of the left and right ends of the strip 2, which are substituted into the formula to calculate the slope between the two coordinate values.

[0076] The surface information of the strip 2 is analyzed and processed by the processing center 4 to obtain the current gas pressure and strip speed of the strip 2. The actual distance between the air knife and the strip 2, the slope between the left and right ends of the strip 2, the gas pressure of the strip 2, the actual distance between the air knife and the zinc pot, and the speed of the strip 2 are substituted into the formula to predict the current zinc layer thickness on the surface of the strip 2.

[0077] The method for predicting the thickness of hot-dip galvanized coating in this embodiment specifically comprises the following steps:

[0078] S1, data detection, obtaining the position information of the strip 2 and the surface information of the strip 2 in real time through the measuring sensor 1, and transmitting the obtained data to the processing host 3, installing the measuring sensor 1 near the air knife, so that the position information of the measuring sensor 1 corresponds to the position information of the air knife;

[0079] S2, data processing, receiving the data transmitted by the measuring sensor 1 through the processing host 3 and substituting the position information of the strip 2 and the position information of the air knife into the three-dimensional model established in the processing host 3, constructing a two-dimensional point by taking out the values ​​of the X and Y coordinates from the three-dimensional point, and then converting the projection of the constructed two-dimensional point into the projection coordinate system, and then constructing two point objects with the converted point coordinates, substituting the two point objects into the formula to calculate the distance between the two point objects, and transmitting the calculated data and the received surface information of the strip 2 to the processing center 4. The processing host 3 includes an analysis module 301, which is used to receive and process the data transmitted by the measuring sensor 1, receiving the data transmitted by the measuring sensor 1 through the analysis module 301, substituting the position information of the strip 2 and the position information of the air knife into the three-dimensional model established in the processing host 3, reading the values ​​of the X and Y coordinates from the three-dimensional model to construct a two-dimensional point, and then converting the projection of the constructed two-dimensional point into the projection coordinate system, and constructing two point objects with the converted point coordinates, and substituting the two point objects into the formula to calculate the distance between the two point objects, where X is the coordinate value of the strip (x 3 ,y 3 ), Y is the coordinate value of the air knife (x 4 ,y 4 ), substitute it into the formula Where p is the point (x 4 ,y 4 ) and point (x 3 ,y3 ) between the Euclidean distance, and after calculation, the analyzed data and the received surface information of the strip 2 are transmitted to the processing center 4 through the transmission module 302;

[0080] S3, data acquisition, obtaining the position information of the left and right ends of the strip 2 in real time through the data sensor 5, and transmitting the obtained data to the analysis host 6;

[0081] S4, data analysis, by analyzing the host 6 receiving the data transmitted by the data sensor 5 and establishing a three-dimensional model, the host 6 analyzes the position information of the left and right ends of the strip 2 transmitted by the data sensor 5 and substitutes it into the three-dimensional model to obtain the coordinate values ​​Q (x 1 ,y 1 )、P(x 2 ,y 2 ), substitute the two coordinate values ​​into the formula, calculate the slope between the two coordinate values, and transmit the calculated data to the processing center 4, where Q(x 1 ,y 1 ) is the coordinate value of the left end of strip 2, P(x 2 ,y 2 ) is the coordinate value of the right end of strip 2, substitute it into the formula Where K is the slope between the left and right ends of the strip 2, and the calculated data is transmitted to the processing center 4;

[0082] S5, data calculation, receiving the slope between the left and right ends of the strip 2 transmitted by the analysis host 6 and the actual distance value between the air knife and the strip 2 and the surface information of the strip 2 transmitted by the processing host 3 through the processing center 4, analyzing and processing the surface information of the strip 2 through the processing center 4, obtaining the current gas pressure on the strip 2 and the speed of the strip 2, and substituting the actual distance value between the air knife and the strip 2, the slope between the left and right ends of the strip 2, the gas pressure on the strip 2, the actual distance between the air knife and the zinc pot and the speed of the strip 2 into the formula, real-time predicting the current zinc layer thickness on the surface of the strip 2, and realizing the measurement of the zinc layer thickness on the surface of the strip 2. The processing center 4 includes a receiving module 401, which is used to receive the slope between the left and right ends of the strip 2 transmitted by the analysis host 6 and the actual distance value between the air knife and the strip 2 and the surface information of the strip 2 transmitted by the processing host 3, and analyze and process the surface information of the strip 2 through the calculation module 402 to obtain the current gas pressure and speed of the strip 2, and substitute the actual distance value between the air knife and the strip 2, the slope between the left and right ends of the strip 2, the gas pressure, the actual distance between the air knife and the zinc pot, and the speed of the strip 2 into the formula lnZ=(k 0 +k 1 lnD+k 2 lnV+k 3lnH-k 4 lnP)K, where Z is the zinc layer thickness of strip 2, D is the actual distance between the air knife and strip 2, V is the speed of strip 2, H is the actual distance between the air knife and the zinc pot, P is the air knife jet pressure, K is the slope between the left and right ends of strip 2, k 0 to k 4 is the model coefficient, with a value range of 0 to positive infinity, which predicts the zinc layer thickness on the surface of the current strip 2 in real time and realizes the measurement of the zinc layer thickness on the surface of the strip 2;

[0083] S6. Data shows that the zinc layer thickness of the strip 2 is measured by the thickness gauge 7, and the measured value is transmitted to the processing center 4. The processing center 4 receives the measured value of the zinc layer thickness of the strip 2 transmitted by the thickness gauge 7, and compares the predicted zinc layer thickness value of the strip 2 with the zinc layer thickness value of the strip 2 measured by the thickness gauge 7, calculates the error of the predicted zinc layer thickness value of the strip 2, and transmits the predicted zinc layer thickness value of the strip 2 and the error between the zinc layer thickness value of the strip 2 measured by the thickness gauge 7 and the predicted zinc layer thickness value to the display 8. The predicted zinc layer thickness value of the strip 2 and the error between the zinc layer thickness value of the strip 2 measured by the thickness gauge 7 and the predicted zinc layer thickness value of the strip 2 are displayed on the display 8. The processing center 4 receives the measured value of the zinc layer thickness of the strip 2 transmitted by the thickness gauge 7 through the receiving module 401, compares the predicted zinc layer thickness value of the strip 2 with the zinc layer thickness value of the strip 2 measured by the thickness gauge 7 through the calculating module 402, calculates the error of the predicted zinc layer thickness value of the strip 2, and transmits the predicted zinc layer thickness value of the strip 2 and the zinc layer thickness value of the strip 2 measured by the thickness gauge 7 and the error between the predicted zinc layer thickness value of the strip 2 to the display 8, so as to facilitate the operator to better observe the data of the predicted zinc layer thickness value of the strip 2 and the zinc layer thickness value of the strip 2 measured by the thickness gauge 7, and adjust the position of the air knife more quickly according to the calculated error value.

[0084] Those skilled in the art should recognize that the above embodiments are only used to illustrate the present invention, and are not intended to limit the present invention. As long as they are within the spirit of the present invention, any changes or modifications to the above embodiments will fall within the scope of the claims of the present invention.

Claims

1. A method for predicting the thickness of a hot-dip galvanized coating, characterized in that: The following steps are involved: S1, data detection; S2, data processing; S3, data collection; S4, data analysis; S5, data calculation; S6. Data display.

2. The method for predicting the thickness of hot-dip galvanized coating according to claim 1, characterized in that: The data detection step S1 specifically includes: The position information and surface information of the strip are acquired in real time through the measuring sensor, and the acquired data is transmitted to the processing host.

3. The method for predicting the thickness of hot-dip galvanized coating according to claim 2, characterized in that: The data processing in step S2 specifically includes: The processing host receives the data transmitted by the measuring sensor and substitutes the position information of the strip and the position information of the air knife into the three-dimensional model established in the processing host, constructs a two-dimensional point by taking out the values ​​of the X, Y coordinates from the three-dimensional point, and then transforms the projection of the constructed two-dimensional point into the projection coordinate system, and then constructs two point objects with the converted point coordinates, substitutes the two point objects into the formula to calculate the distance between the two point objects, and transmits the calculated data and the received surface information of the strip to the processing center.

4. The method for predicting the thickness of hot-dip galvanized coating according to claim 3, characterized in that: The step S3 data collection specifically includes: The position information of the left and right ends of the strip is acquired in real time by a data sensor, and the acquired data is transmitted to an analysis host.

5. The method for predicting the thickness of hot-dip galvanized coating according to claim 4, characterized in that: The data analysis in step S4 specifically includes: The analysis host receives the data transmitted by the data sensor and establishes a three-dimensional model. The analysis host analyzes the position information of the left and right ends of the strip transmitted by the data sensor and substitutes it into the three-dimensional model to obtain the coordinate values ​​Q(x1, y1)P(x2, y2) of the left and right ends of the strip. The two coordinate values ​​are substituted into the formula to calculate the slope between the two coordinate values, and the calculated data is transmitted to the processing center.

6. The method for predicting the thickness of hot-dip galvanized coating according to claim 5, characterized in that: The data calculation in step S5 specifically includes: The processing center receives the slope between the left and right ends of the strip transmitted by the analysis host, the actual distance value between the air knife and the strip, and the surface information of the strip transmitted by the processing host, and analyzes and processes the surface information of the strip through the processing center to obtain the current gas pressure to which the strip is subjected and the speed of the strip, and substitutes the actual distance value between the air knife and the strip, the slope between the left and right ends of the strip, the gas pressure to which the strip is subjected, the actual distance between the air knife and the zinc pot, and the speed of the strip into a formula to predict the current surface zinc layer thickness of the strip in real time.

7. The method for predicting the thickness of hot-dip galvanized coating according to claim 6, characterized in that: The step S6 of displaying data specifically includes: The zinc layer thickness of the strip is measured by a thickness gauge, and the measured value is transmitted to the processing center; the processing center receives the measured value of the zinc layer thickness of the strip transmitted by the thickness gauge, and compares the predicted value of the zinc layer thickness of the strip with the measured value of the zinc layer thickness of the strip, calculates the error of the predicted value of the zinc layer thickness of the strip, and transmits the predicted value of the zinc layer thickness of the strip, the measured value of the zinc layer thickness of the strip and the error of the predicted value of the zinc layer thickness of the strip to a display for display.

8. A hot dip galvanizing coating thickness prediction system, characterized in that: include: A measuring sensor is used to obtain the position information of the strip, the surface information of the strip and the position information of the air knife in real time; A processing host, for receiving data from the measuring sensor and calculating the distance between two point objects through a three-dimensional model; A data sensor, used to obtain the position information of the left and right ends of the strip in real time; An analysis host, for receiving data from the data sensor, and calculating the slope between the coordinate values ​​of the left and right ends of the strip through a three-dimensional model; A thickness gauge, used to measure the thickness of the zinc layer of the strip; A processing center is used to receive the calculation result of the processing host, the calculation result of the analysis host and the data of the thickness gauge, and calculate the error of the predicted zinc layer thickness value of the strip; A display, used for displaying the predicted value of the zinc layer thickness of the strip, the measured value of the zinc layer thickness of the strip and the error of the predicted value of the zinc layer thickness of the strip; The hot-dip galvanizing coating thickness prediction system implements the hot-dip galvanizing coating thickness prediction method as described in any one of claims 1-7.

9. The hot-dip galvanizing coating thickness prediction system according to claim 8, characterized in that: The processing host comprises: An analysis module, used for receiving and processing the data transmitted by the measurement sensor; The transmission module is used to transmit the data analyzed and processed by the analysis module to the processing center.

10. The hot-dip galvanizing coating thickness prediction system according to claim 8, characterized in that: The processing center includes: A receiving module, used for receiving data transmitted by the processing host, the analysis host and the thickness gauge; The computing module is used for analyzing and processing the surface information of the strip.

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