Cold rolling processing line-based digital steel coil real-time data tracking method and system

Abstract

A cold rolling processing line-based digital steel coil real-time data tracking method and system. The method comprises: defining and configuring devices and positions on a cold rolling processing line, the configurations comprising position names and tracking modes, wherein the tracking modes include a first-stage tracking mode and a second-stage tracking mode; circularly traversing first-stage tracking message data and second-stage tracking message data, and matching each tracking position with material information; recording a material information change moment on each tracking position in real time to obtain the time of arrival and time of departure of a material at each tracking position; and meanwhile, on the basis of real-time production data of the material, in combination with the length by which and the moment at which the lead head of a steel coil passes the position, performing parameter calculation of the production data, including: length calculation, maximum / minimum average value calculation, multi-process standard hit rate calculation and alarm calculation. The method can accurately reflect actual production conditions, reduce the shutdown failure rate of the processing line, and greatly improve the product quality and the production efficiency.

Description

A method and system for real-time data tracking of digital steel coils based on cold rolling processing lines Technical Field

[0001] The present invention relates to the fields of steel production technology and information technology, and in particular to a method and system for tracking real-time data of digital steel coils based on a cold rolling processing line. Background Art

[0002] Cold rolling is the process of producing thin sheet products from hot-rolled coils. Cold-rolled products offer excellent surface quality, high finish, and high dimensional accuracy, making them widely used in automotive manufacturing, household appliances, and other fields.

[0003] Digital Coil uses the steel coil as a carrier to track production data from each steel strip process in real time, matching this data to each length of the coil. This helps strip producers and users understand the production process and provides data support for subsequent quality analysis and assessment in subsequent processes and for customers. Digital Coil achieves full visualization and digitization of cold-rolled products, providing a comprehensive, accurate, and reliable data foundation for subsequent big data analysis and mining, a critical step in realizing the smart factory.

[0004] Real-time data tracking of steel coils, including weld tracking and material tracking, is a crucial component of automated continuous cold-rolling processing lines. Weld tracking tracks the welds of all steel strips moving through the mill, while material tracking detects the material number (coil number) of the strips at the equipment and location within the mill. This helps control the setting of strip parameters, collect actual production data, and coordinate the entire production process. Therefore, strip weld tracking and material tracking are crucial for ensuring stable production line operation and strip quality. Real-time and effective data tracking provides accurate feedback on actual production conditions, ensuring the normal and stable operation of the processing line and steadily improving production efficiency. Calculations of process parameters can be used to trace the causes of defective product degradation, enabling process personnel to promptly adjust process models and set parameters, significantly improving product quality. Real-time data tracking methods for cold-rolling processing lines are an essential and key component of digital steel coils, laying a solid foundation for the development of smart factories. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide a method and system for real-time data tracking of digital steel coils based on a cold rolling processing line in response to the defects in the prior art.

[0006] The technical solution adopted by the present invention to solve its technical problem is:

[0007] The present invention provides a method for real-time data tracking of digital steel coils based on a cold rolling processing line, the method comprising the following steps:

[0008] Step 1: Define and configure the online tracking position according to the actual situation of the cold rolling processing line;

[0009] Step 2: traverse all tracking position configurations and execute corresponding tracking judgment logic according to the tracking mode at the tracking position. The tracking mode includes the primary tracking mode and the secondary tracking mode.

[0010] Step 3: If the location is in Level 1 tracking mode, subscribe to Level 1 tracking message data in real time and initialize the data structure to obtain the reel numbers of all raw materials online and the length of the raw material reel head passing through each weld detector. Match the reel number corresponding to the weld detector with the smallest length difference between the raw material reel head and the weld detector to the location; and update the data in a loop.

[0011] Step 4: If the location is in the secondary tracking mode, subscribe to the secondary tracking message data in real time and initialize the data structure to obtain all the raw material roll number data at the location defined by the secondary level; and update it cyclically;

[0012] Step 5: The difference between the distance to the nearest weld detector in the position configuration and the length of the raw material roll head passing on the corresponding weld detector is used as the length of the raw material roll head passing the position;

[0013] Step 6: When the steel coil leaves the position, obtain all process parameter values ​​corresponding to the raw material coil number and calculate the maximum / minimum / average values;

[0014] Step 7: Based on the steel type / width / thickness of the raw material coil, filter the upper and lower limits of the process quality standard that match, combine all cached process quality parameter values, and count the number of qualified parameters that meet the upper and lower limits. Divide this by the total number of parameters to calculate the process quality hit rate.

[0015] Step 8: Subscribe to the process quality message to obtain the real-time value of all process parameters. If the real-time value does not meet the upper and lower limits of the process quality standard, a corresponding alarm message will be issued.

[0016] Furthermore, the method for defining and configuring the online tracking position in step 1 of the present invention includes:

[0017] Definition of online tracking positions: The entire cold rolling production line is divided into sections: entry section, process section, and exit section; key equipment and locations in each section are defined, including: saddle, uncoiler, welder, alkali cleaning area, heating section, plate temperature gauge, flying shear, and coiler;

[0018] Configuration of online tracking position: position code, position name, tracking mode; tracking mode includes: primary tracking mode and secondary tracking mode; if it is primary tracking mode, configure the distance between the position and the nearest weld detector, primary start position code, and primary end position code; if it is secondary tracking mode, configure the secondary tracking sequence number.

[0019] Furthermore, the cyclic updating method in step 3 of the present invention is:

[0020] The raw material roll number data list at each position is updated cyclically. If the raw material roll number at the current position changes in this cycle, the current time is recorded as the time when the raw material roll number arrives at this position in this cycle. If there is a first-level starting position at this position, the current time is recorded as the time when the raw material roll number leaves the first-level starting position of this position in this cycle; otherwise, the current time is recorded as the time when the raw material roll number leaves this position in the previous cycle.

[0021] Furthermore, the cyclic updating method in step 4 of the present invention is:

[0022] The raw material roll number data list at each position is updated cyclically. If the raw material roll number at the current position changes in this cycle, the current time is recorded as the time when the raw material roll number arrives at this position in this cycle, and the time when the raw material roll number leaves this position in the previous cycle.

[0023] Furthermore, the method in step 5 of the present invention also includes: subscribing to process parameter messages at the same time, obtaining real-time values ​​of process parameters, storing the raw material roll number, head length, and real-time values ​​of process parameters together in a time series database to complete length calculation.

[0024] Furthermore, the method in step 6 of the present invention also includes: obtaining the raw material roll numbers at all positions, subscribing to process parameter messages, obtaining real-time values ​​of process parameters, and caching all the raw material roll numbers and real-time values ​​of process parameters.

[0025] A digital steel coil real-time data tracking system based on a cold rolling processing line includes the following modules:

[0026] The location configuration module is used to define and configure key locations on the cold rolling processing line and obtain location configuration information. The definition of key locations includes: segmenting the cold rolling production line and defining key equipment and locations in each segment. The configuration of key locations includes: location code, location name, and tracking mode. The tracking mode includes primary tracking mode and secondary tracking mode.

[0027] The duration calculation module is used to calculate the arrival and departure time of the raw material roll at each location based on the location configuration information and the tracking result messages obtained in the first-level tracking mode and the second-level tracking mode, thereby obtaining the duration time interval of each location;

[0028] Parameter calculation module, used to realize length calculation, maximum, minimum and average value calculation, multiple process standard hit rate calculation, and alarm calculation.

[0029] Furthermore, the duration calculation module of the present invention includes:

[0030] The first-level tracking mode unit is used to obtain the raw material roll number currently running at the position based on the distance length from the weld detector in the position configuration information and the first-level tracking message data;

[0031] The secondary tracking mode unit is used to obtain the raw material roll number and finished product roll number currently running at the location based on the secondary tracking sequence number and secondary tracking message data in the location configuration information. The finished product roll number is obtained when a finished product is available;

[0032] The duration calculation unit is used to obtain the raw material coil number currently running at the position. When the raw material coil number at the position changes, the moment of change is the departure time of the previous steel coil and the arrival time of the next steel coil; the arrival time and departure time of all configured positions are calculated, where the departure time minus the arrival time is the duration time interval of each position.

[0033] Furthermore, the parameter calculation module of the present invention includes:

[0034] For the first-level tracking mode, the length calculation unit obtains the current raw material coil number running at the location and the length of the steel coil head from the location, referred to as the head length, based on the distance length from the weld detector in the location configuration information and the first-level tracking result message. At the same time, it obtains the process parameter values ​​running at the location to complete the length calculation.

[0035] The maximum, minimum and average value calculation unit is used to cache the raw material coil number, head length and process parameter value results of the length calculation. When the steel coil leaves this position, all process parameter values ​​are obtained in real time to calculate the maximum / minimum / average values.

[0036] The multiple process standard hit rate calculation unit is used to filter and match the corresponding upper and lower limits of multiple process parameters according to the steel type / width / thickness of the steel coil, and then calculate the process parameter hit rate based on all process parameter values, that is, the number of qualified parameters that meet the upper and lower limits divided by the total number of parameters;

[0037] The alarm calculation unit is used to obtain the corresponding process parameter alarm upper and lower limits according to the steel type / width / thickness of the steel coil, and to determine in real time whether the process parameter value exceeds the alarm upper and lower limits. If so, an alarm is issued.

[0038] Furthermore, the system of the present invention is applicable to a plurality of different types of processing lines, including: continuous annealing lines, pickling lines, and galvanizing lines.

[0039] The beneficial effects produced by the present invention are as follows: a real-time data tracking method for digital steel coils based on a cold rolling processing line according to the present invention solves a tracking and calculation method for matching the real-time production data of digital steel coils of a cold rolling processing line with material information. Not only can all the strips and their welds moving in the unit be tracked extremely accurately, but also the setting of the strip parameters and the updating of the actual production data can be controlled, thereby accurately feeding back the actual production situation, reducing the downtime failure rate of the processing line, and greatly improving product quality and production efficiency. The present invention is easy to implement on-site, has a low learning cost, and is not complex. Only relevant configurations need to be made, which greatly shortens the implementation cycle and improves debugging efficiency. Position configuration information can be flexibly added or modified, and relevant tracking calculations can be completed without modifying any code, effectively reducing maintenance and operation costs, and responding to user needs quickly and conveniently. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The present invention will be further described below with reference to the accompanying drawings and embodiments, in which:

[0041] FIG1 is a functional module diagram of an implementation system according to an embodiment of the present invention.

[0042] FIG2 is a flow chart of the configuration of the first-level tracking mode according to an embodiment of the present invention.

[0043] FIG3 is a flow chart of secondary tracking mode configuration according to an embodiment of the present invention. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Example 1

[0045] As shown in Figure 1, an embodiment of the present invention provides a real-time data tracking method for digital steel coils in a cold rolling mill. This method addresses the tracking and calculation of matching real-time production data of digital steel coils in a cold rolling mill with material information. Equipment and locations on the cold rolling mill are defined and configured, including location names and tracking modes. Tracking modes are categorized as primary tracking mode (the distance from the location to the nearest weld inspection instrument) and secondary tracking mode (secondary tracking sequence number). The primary and secondary tracking message data are looped through, matching each tracking location with material information. The moment material information changes at each tracking location are recorded in real time to determine the arrival and departure times of the material at each tracking location. The real-time production data of the material is cached and persisted. Combined with the length and time when the coil head passes through the location, production data parameter calculations are performed, including length calculation, maximum, minimum, and average value calculations, multiple process standard hit rates calculations, and alarm calculations.

[0046] This embodiment of the present invention uses location configuration information to loop through tracking result message data, achieving tracking calculations that match real-time production data and material information for digital steel coils in a cold rolling mill. This system not only allows for extremely precise tracking of all steel strips and their welds moving through the mill, but also controls the setting of strip parameters and the updating of actual production data. This provides accurate feedback on actual production conditions, reduces line downtime, and significantly improves product quality and production efficiency.

[0047] In a preferred embodiment of the present invention, the method of the present invention can be used as a basic module of digital steel coil, and its implementation system (see Figure 1) includes a position configuration module, a duration calculation module, and a parameter calculation module (length calculation, maximum, minimum and average value calculation, multiple process standard hit rate calculation, and alarm calculation).

[0048] 1. Position configuration module. It is mainly responsible for defining and configuring key positions on the cold rolling processing line:

[0049] a. Divide the entire cold rolling production line into sections: entry section, process section, and exit section. Define key equipment and locations, such as saddle, uncoiler, welder, alkali cleaning area, heating section, plate temperature gauge, flying shear, coiler, etc.

[0050] b. Position configuration mainly includes: position code, position name, tracking mode (whether the position is primary or secondary tracking). If it is primary tracking mode, configure the distance from the position to the nearest weld detector, the primary start position code, and the primary end position code. If it is secondary tracking mode, configure the secondary tracking sequence number.

[0051] 2. Duration calculation module: Based on location configuration information and combined with primary and secondary tracking result message data, the arrival and departure times of the raw material roll at each location are calculated, thereby deriving the duration interval for each location. This provides a strong basis for determining whether the production line is operating normally and identifying the location of faults.

[0052] a. Level 1 tracking mode: Based on the distance length from the weld detector in the location information configuration and the level 1 tracking message data, the current raw material roll number running at the location can be obtained.

[0053] b. Secondary tracking mode: Based on the secondary tracking sequence number and secondary tracking message data in the location information configuration, the raw material roll number and finished product roll number currently running at the location can be obtained (if there are finished products at this time).

[0054] c. Based on the current raw material coil number at the location, when the raw material coil number at the location changes, the moment of change is the departure time of the previous steel coil and the arrival time of the next steel coil.

[0055] In a preferred embodiment of the present invention, for example, at time t, the coil number of the raw material running at position P changes from A to B. Then, coil A leaves position P at time t, and coil B arrives at position P at time t. Similarly, the arrival and departure times at all configured positions are successfully calculated. The departure time minus the arrival time is the elapsed time interval for each position.

[0056] 3. Parameter calculation module. This module primarily includes length calculation, maximum, minimum, and average calculations, multiple process standard hit rate calculations, and alarm calculations. Focusing on process quality analysis, it lays a solid foundation for digital coil data analysis. It provides real-time feedback on the effectiveness of process settings, assisting on-site process personnel in constantly adjusting and optimizing process models, significantly improving production capacity and product quality.

[0057] a. For the first-level tracking mode, based on the distance to the weld detector in the location information configuration and the first-level tracking result message, the current raw material coil number running at that location and the length of the steel coil head from that location (abbreviated as: head length) can be obtained. At the same time, the process parameter values ​​running at that location are obtained, and the length calculation is successfully completed.

[0058] b. The raw material coil number, lead length, and process parameter values ​​from the length calculation are cached. When the coil leaves this location, all process parameter values ​​are retrieved in real time and the maximum, minimum, and average values ​​are calculated. Based on the coil's steel grade, width, and thickness, multiple process parameter upper and lower limits are filtered and matched. Based on all process parameter values, the process parameter hit rate is calculated as the number of coils meeting the upper and lower limits / total number of coils.

[0059] c. According to the steel type / width / thickness of the steel coil, obtain the corresponding process parameter alarm upper and lower limits, and judge in real time whether the process parameter value exceeds the alarm upper and lower limits. If it exceeds, an alarm result will be issued: raw material coil number, position code, head length, parameter real-time value, alarm upper and lower limits.

[0060] Because this invention dynamically reads location configuration information on cold-rolling processing lines and standardizes tracking result message data, it can be flexibly applied to multiple different types of processing lines, including continuous annealing lines, pickling lines, and galvanizing lines. On-site implementation is easy, with a low learning curve and minimal complexity. Only the relevant configuration is required, significantly shortening the implementation cycle and improving debugging efficiency. Location configuration information can be flexibly added or modified without modifying any code to complete the relevant tracking calculations, effectively reducing maintenance and operation costs and enabling quick and convenient response to user needs. Example 2

[0061] The method for real-time data tracking of a digital steel coil based on a cold rolling processing line according to an embodiment of the present invention comprises the following steps:

[0062] (1) Define and configure the online tracking position according to the actual situation of the cold rolling processing line.

[0063] (2) Traverse all tracking position configurations and execute the corresponding tracking judgment logic according to the tracking mode (primary / secondary) at the tracking position.

[0064] (3) If the position is in the first-level tracking mode (see Figure 2), subscribe to the first-level tracking message data in real time and initialize the data structure to obtain the length data of all raw material roll numbers and the length of the raw material roll head passing through each weld detector on the line, and match the raw material roll number corresponding to the weld detector with the smallest length difference to the position. Loop and update the raw material roll number data list at each position. If the raw material roll number at the current position changes in this cycle, record the current time as the time when the raw material roll number arrives at this position in this cycle. If there is a first-level starting position at this position, record the current time as the time when the raw material roll number leaves the first-level starting position of this position in this cycle. Otherwise, record the current time as the time when the raw material roll number left this position in the previous cycle.

[0065] (4) If the location is in the secondary tracking mode (see Figure 3), subscribe to the secondary tracking message data in real time and initialize the data structure to obtain the data of all raw material reel numbers at the location defined by the secondary level. Loop and update the raw material reel number data list at each location. If the raw material reel number at the current location changes during this cycle, record the current time as the time when the raw material reel number arrives at this location during this cycle, and the time when the raw material reel number leaves this location during the previous cycle.

[0066] (5) Length calculation: The difference between the length of the closest weld detector in the position configuration and the length of the raw material roll head on the corresponding weld detector is used as the length of the raw material roll head passing through the position. At the same time, subscribe to the process parameter message to obtain the real-time value of the process parameter. The raw material roll number, head length, and real-time value of the process parameter are stored in the time series database to complete the length calculation.

[0067] (6) When the raw material coil numbers at all locations are obtained, the process parameter messages are subscribed to simultaneously, the real-time values ​​of the process parameters are obtained, and the raw material coil numbers and the real-time values ​​of the process parameters are cached. When the steel coil leaves the location, all the process parameter values ​​corresponding to the raw material coil numbers are obtained and the maximum / minimum / average values ​​are calculated.

[0068] (7) According to the steel type / width / thickness of the raw material coil, the upper and lower limits of the process quality standards are screened and filtered. Combined with all the cached process quality parameter values, the number of qualified parameters that meet the upper and lower limits is counted and divided by the total number of parameters to calculate the process quality hit rate.

[0069] (8) At the same time, subscribe to the process quality message to obtain the real-time value of all process parameters. If the real-time value does not meet the upper and lower limits of the process quality standard, the corresponding alarm information will be issued: raw material roll number, process real-time value, upper and lower limits of process quality standard, and head length.

[0070] Experiments have proved that the real-time data tracking method for digital steel coils of the present invention can realize tracking calculation that matches real-time production data with material information, and can analyze in real time the process parameter information experienced by each steel coil on the online equipment and position every meter on the cold rolling processing line, effectively feedback the real-time production operation status of the steel coils, assist on-site production personnel in optimizing process models, greatly improve product quality and production efficiency, and lay a solid foundation for the subsequent construction of smart factories.

[0071] It should be understood that those skilled in the art can make improvements or changes based on the above description, and all such improvements and changes should fall within the scope of protection of the appended claims of the present invention.

Claims

1. A method for real-time data tracking of digital steel coils based on a cold rolling processing line, characterized in that: The method comprises the following steps: Step 1: Define and configure the online tracking position according to the actual situation of the cold rolling processing line; Step 2: traverse all tracking position configurations, and execute corresponding tracking judgment logic according to the tracking mode at the tracking position. The tracking mode includes a primary tracking mode and a secondary tracking mode. Step 3: If the location is in the first-level tracking mode, subscribe to the first-level tracking message data in real time and initialize the data structure to obtain all the raw material roll numbers and the length data of the raw material roll head passing through each weld detector online, and match the raw material roll number corresponding to the weld detector with the smallest length difference between the raw material roll head and the weld detector to the location; and update in a loop; Step 4: If the location is in the secondary tracking mode, subscribe to the secondary tracking message data in real time and initialize the data structure to obtain all the raw material roll number data at the location defined by the secondary level; and update it cyclically; Step 5: The difference between the length of the nearest weld detector in the position configuration and the length of the raw material roll head on the corresponding weld detector is used as the length of the raw material roll head passing the position; Step 6: When the steel coil leaves the position, obtain all process parameter values ​​corresponding to the raw material coil number and calculate the maximum / minimum / average value; Step 7: According to the steel type / width / thickness of the raw material coil, filter the upper and lower limits of the matching process quality standard, combine all cached process quality parameter values, count the number of qualified parameters that meet the upper and lower limits, divide it by the total number of parameters, and calculate the process quality hit rate; Step 8: Subscribe to the process quality message to obtain the real-time value of all process parameters. If the real-time value does not meet the upper and lower limits of the process quality standard, a corresponding alarm message is issued.

2. The method for real-time data tracking of digital steel coils based on a cold rolling processing line according to claim 1, characterized in that: The method for defining and configuring the online tracking position in step 1 includes: Definition of online tracking position: Divide the entire cold rolling production line into sections: entrance section, process section, and exit section; define the key equipment and positions in the sections, including: saddle, uncoiler, welder, alkali washing area, heating section, plate temperature meter, flying shear, and coiler; Configuration of online tracking position: position code, position name, tracking mode; tracking modes include: primary tracking mode and secondary tracking mode; if it is primary tracking mode, configure the distance between the position and the nearest weld detector, primary start position code, and primary end position code; if it is secondary tracking mode, configure the secondary tracking sequence number.

3. The method for real-time data tracking of digital steel coils based on a cold rolling processing line according to claim 1, characterized in that: The method for cyclic update in step 3 is: The raw material roll number data list at each position is updated cyclically. If the raw material roll number at the current position changes in this cycle, the current time is recorded as the time when the raw material roll number arrives at this position in this cycle. If there is a first-level starting position at this position, the current time is recorded as the time when the raw material roll number leaves the first-level starting position of this position in this cycle; otherwise, the current time is recorded as the time when the raw material roll number left this position in the previous cycle.

4. The method for real-time data tracking of digital steel coils based on a cold rolling processing line according to claim 1, characterized in that: The method for cyclic update in step 4 is: The raw material roll number data list at each position is updated cyclically. If the raw material roll number at the current position changes in this cycle, the current time is recorded as the time when the raw material roll number arrives at this position in this cycle, and the time when the raw material roll number leaves this position in the previous cycle.

5. The method for real-time data tracking of digital steel coils based on a cold rolling processing line according to claim 1, characterized in that: The method in step 5 also includes: subscribing to process parameter messages at the same time, obtaining real-time values ​​of process parameters, storing the raw material roll number, lead length, and real-time values ​​of process parameters together in a time series database, and completing length calculation.

6. The method for real-time data tracking of digital steel coils based on a cold rolling processing line according to claim 1, characterized in that: The method in step 6 also includes: obtaining the raw material roll numbers at all positions, subscribing to the process parameter message, obtaining the real-time values ​​of the process parameters, and caching all the raw material roll numbers and the real-time values ​​of the process parameters.

7. A digital steel coil real-time data tracking system based on a cold rolling processing line, characterized in that: Includes the following modules: Position configuration module, used to define and configure key positions on the cold rolling processing line to obtain position configuration information; The definition of key positions includes: segmenting the cold rolling production line, defining key equipment and positions in each segment; the configuration of key positions includes: position code, position name, tracking mode; the tracking mode includes primary tracking mode and secondary tracking mode; The duration calculation module is used to calculate the arrival and departure time of the raw material roll at each location based on the location configuration information and the tracking result messages obtained in the primary tracking mode and the secondary tracking mode, so as to obtain the duration time interval of each location; The parameter calculation module is used to realize length calculation, maximum, minimum and average value calculation, multiple process standard hit rate calculation and alarm calculation.

8. The digital steel coil real-time data tracking system based on the cold rolling processing line according to claim 7 is characterized in that: The epoch calculation module includes: The first-level tracking mode unit is used to obtain the raw material roll number currently running at the position according to the distance length from the weld detector in the position configuration information and the first-level tracking message data; The secondary tracking mode unit is used to obtain the raw material roll number and the finished product roll number currently running at the position according to the secondary tracking sequence number and the secondary tracking message data in the position configuration information, and the finished product roll number is obtained when the finished product is available; The duration calculation unit is used to obtain the raw material coil number currently running at the position. When the raw material coil number at the position changes, the moment of change is the departure time of the previous steel coil and the arrival time of the next steel coil; the arrival time and departure time of all configured positions are calculated, wherein the departure time minus the arrival time is the duration time interval of each position.

9. The digital steel coil real-time data tracking system based on the cold rolling processing line according to claim 7 is characterized in that: The parameter calculation module includes: The length calculation unit, for the first-level tracking mode, obtains the current raw material coil number running at the position and the length of the steel coil head from the position, referred to as the head length, according to the distance length from the weld detector in the position configuration information and the first-level tracking result message. At the same time, it obtains the process parameter value running at the position to complete the length calculation; The maximum, minimum and average value calculation unit is used to cache the raw material coil number, head length and process parameter value results of the length calculation. When the steel coil leaves this position, all process parameter values ​​are obtained in real time to calculate the maximum / minimum / average value; The multiple process standard hit rate calculation unit is used to filter and match the corresponding multiple process parameter upper and lower limits according to the steel type / width / thickness of the steel coil, and then calculate the process parameter hit rate based on all process parameter values, that is, the number of qualified parameters that meet the upper and lower limits divided by the total number of parameters; The alarm calculation unit is used to obtain the corresponding upper and lower alarm limits of the process parameters according to the steel type / width / thickness of the steel coil, and to determine in real time whether the process parameter value exceeds the upper and lower alarm limits. If so, an alarm is issued.

10. The digital steel coil real-time data tracking system based on the cold rolling processing line according to claim 7, characterized in that: The system is suitable for many different types of processing lines, including: annealing line, pickling line, galvanizing line.

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