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

Abstract

This invention discloses a method and system for real-time data tracking of digital steel coils on a cold rolling processing line. The method defines and configures the equipment and locations on the cold rolling processing line, including location names and tracking modes, which are divided into primary tracking mode and secondary tracking mode. It iterates through the primary and secondary tracking message data, matching each tracking location with material information. It records the material information changes at each tracking location in real time, obtaining the arrival and departure times of the material at each tracking location. Simultaneously, based on the real-time production data of the material, combined with the length and time of the steel coil head crossing that location, it calculates production data parameters, including: length calculation, maximum, minimum, and average value calculation, multiple process standard hit rate calculation, and alarm calculation. This invention can accurately reflect the actual production status, reduce the downtime failure rate of the processing line, and significantly improve product quality and production efficiency.

Description

Technical Field

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

[0002] Cold rolling is the process of cold-working hot-rolled coils into thin sheet products. Cold-rolled products have advantages such as good surface quality, high smoothness, and high dimensional accuracy, and are therefore widely used in automobile manufacturing, home appliances, and other fields.

[0003] Digital steel coils use steel coils as a carrier to track production data for each process of strip steel in real time. They match production process data to each length of strip steel within the coil, helping strip steel producers and users understand the production process and providing data support for subsequent processes and customer quality analysis and assessment. Digital steel coils achieve "full-process visualization" and "digitalization" of cold-rolled products, providing a complete, accurate, and reliable data foundation for subsequent big data analysis and mining, representing a crucial step towards realizing a smart factory.

[0004] Real-time data tracking of steel coils, including weld seam tracking and material tracking, is a crucial component of automated continuous strip cold rolling lines. Weld seam tracking tracks the weld seams of all strip steel moving within the unit; material tracking detects the material number (coil number) of the strip steel at its location and equipment position within the unit. This information is used to control strip steel parameter settings, collect actual production data, and coordinate the entire unit's production process. Therefore, weld seam tracking and material tracking are of paramount importance for ensuring the stable operation of the production line and the quality of the strip steel. Real-time and effective data tracking accurately reflects the actual production status, ensuring the normal and stable operation of the processing line and steadily improving production efficiency. Calculations related to process parameters can be used to trace the causes of defective product downgrades, facilitating timely adjustments to process models and parameter settings by process engineers, significantly improving product quality. Real-time data tracking methods based on cold rolling lines are an indispensable key component of digital steel coils, laying a solid foundation for the construction 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 cold rolling processing lines, addressing the deficiencies in the prior art.

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

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

[0008] Step 1: Define and configure the tracking positions on the cold rolling line according to the actual conditions.

[0009] Step 2: Traverse all tracking position configurations and execute the corresponding tracking judgment logic according to the tracking mode at the tracking position. The tracking modes include first-level tracking mode and second-level tracking mode.

[0010] Step 3: If the position is in Level 1 tracking mode, subscribe to Level 1 tracking message data in real time and initialize the data structure to obtain all raw material roll numbers online and the length data of the raw material roll head crossing each weld seam detector. Match the raw material roll number corresponding to the weld seam detector with the smallest difference in the length of the raw material roll head crossing the weld seam detector to this position; and update it cyclically.

[0011] Step 4: If the location is in Level 2 tracking mode, subscribe to Level 2 tracking message data in real time and initialize the data structure to obtain all raw material roll number data at the location defined by Level 2; and update it cyclically.

[0012] Step 5: The difference between the length of the nearest weld inspection instrument in the position configuration and the length that the raw material coil head crosses on the corresponding weld inspection instrument is taken as the length that the raw material coil head crosses over that position.

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

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

[0015] Step 8: Subscribe to process quality messages to obtain real-time values ​​of all process parameters. If the real-time value does not meet the upper or lower limits of the process quality standard, issue the corresponding alarm information.

[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 location: Divide the entire cold rolling production line into segments: entrance segment, process segment, and exit segment; define the key equipment and locations in each segment, including: saddle, uncoiler, welding machine, alkaline washing zone, heating section, plate thermometer, flying shear, and coiler;

[0018] Online tracking location configuration: location code, location name, tracking mode; tracking modes include: level 1 tracking mode and level 2 tracking mode; if it is level 1 tracking mode, configure the distance length of the location from the nearest weld inspection instrument, level 1 start location code, level 1 end location code; if it is level 2 tracking mode, configure the level 2 tracking sequence number.

[0019] Furthermore, the cyclical update method in step 3 of the present invention is as follows:

[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 at 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 cyclical update method in step 4 of the present invention is as follows:

[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 during the current cycle, the current time is recorded as the time when the raw material roll number arrives at that position during the current cycle, and also as the time when the raw material roll number leaves that position during the previous cycle.

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

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

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

[0026] The location configuration module is used to define and configure key locations on the cold rolling processing line to obtain location configuration information. The definition of key locations includes: dividing the cold rolling production line into segments, defining the key equipment and locations in each segment; the configuration of key locations includes: location code, location name, and tracking mode; the tracking mode includes first-level tracking mode and second-level tracking mode.

[0027] The duration calculation module is used to calculate the arrival and departure times 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 interval of each location.

[0028] The parameter calculation module is used to calculate length, maximum, minimum and average values, multiple process standard hit rate, and alarm calculation.

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

[0030] The first-level tracking mode unit is used to determine the current raw material roll number at the current location based on the distance to the weld inspection instrument and the first-level tracking message data in the location configuration information.

[0031] The secondary tracking mode unit is used to determine 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 there are already finished products.

[0032] The duration calculation unit is used to calculate the departure time of the previous coil and the arrival time of the next coil when a change is detected in the raw material coil number at the current location, based on the current raw material coil number at the current location; and to calculate the arrival time and departure time at all configured locations, where the departure time minus the arrival time is the duration interval for each location.

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

[0034] The length calculation unit, for the first-level tracking mode, calculates the current raw material coil number at the location based on the distance from the weld inspection instrument in the location configuration information and the first-level tracking result message, as well as the length of the steel coil head from the location, referred to as the head length. At the same time, it obtains the process parameter values ​​that are currently running at the location and completes the length calculation.

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

[0036] The multi-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 grade / 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 alarm upper and lower limits of the process parameters based on the steel type, width, and thickness of the steel coil, and to determine in real time whether the process parameter values ​​exceed the alarm upper and lower limits. If they do, an alarm is issued.

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

[0039] The beneficial effects of this invention are as follows: This invention provides a real-time data tracking method for digital steel coils based on a cold-rolling processing line, solving the problem of matching real-time production data with material information in a cold-rolling processing line. It can not only track all moving strip steel and its welds within the unit with extremely high precision, but also control the setting of strip steel parameters and the updating of actual production data. This allows for accurate feedback of the actual production status, reducing the downtime failure rate of the processing line and significantly improving product quality and production efficiency. This invention is easy to implement on-site, has low learning costs, and is relatively simple, requiring only relevant configuration, greatly 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 costs and providing a quick and convenient response to user needs. Attached Figure Description

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

[0041] Figure 1 This is a functional block diagram of the implementation system of this invention.

[0042] Figure 2 This is a flowchart of the first-level tracking mode configuration according to an embodiment of the present invention.

[0043] Figure 3 This is a flowchart of the configuration process for the secondary tracking mode according to an embodiment of the present invention. Detailed Implementation

[0044] To make the objectives, technical solutions, and advantages of this invention clearer, the 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 merely illustrative and not intended to limit the invention.

[0045] Example 1

[0046] like Figure 1As shown, this embodiment of the invention provides a real-time data tracking method for digital steel coils based on a cold rolling processing line. It addresses the tracking calculation method for matching real-time production data of digital steel coils on a cold rolling processing line with material information. The equipment and locations on the cold rolling processing line are defined and configured, including location names and tracking modes. The tracking modes are divided into a primary tracking mode (distance from the nearest weld inspection instrument) and a secondary tracking mode (secondary tracking sequence number). The primary and secondary tracking message data are iterated repeatedly, matching each tracking location with material information. The material information changes at each tracking location are recorded in real time, obtaining the arrival and departure times of the material at each tracking location. Simultaneously, real-time production data of the material is cached and persisted. Combined with the length and time of the steel coil head crossing the location, production data parameter calculations are performed, including: length calculation, maximum and minimum average value calculation, multiple process standard hit rate calculation, and alarm calculation.

[0047] This invention, through location configuration information and cyclically traversing tracking result message data, achieves real-time matching and calculation of production data and material information for digital steel coils on a cold-rolling processing line. It can not only track all moving strip steel and its welds within the unit with extreme precision, but also control the setting of strip steel parameters and the updating of actual production data. This allows for accurate feedback of actual production conditions, reduces line downtime failure rates, and significantly improves product quality and production efficiency.

[0048] In a preferred embodiment of the present invention, the method can serve as a basic module for digital steel coils, the implementation system of which (see...) Figure 1 It includes a location 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).

[0049] 1. Location Configuration Module. This module is primarily responsible for defining and configuring key locations on the cold rolling processing line.

[0050] a. Divide the entire cold rolling production line into sections: entrance section, process section, and exit section. Define the key equipment and locations within each section, such as: saddle, uncoiler, welding machine, alkaline washing zone, heating section, plate thermometer, flying shear, coiler, etc.

[0051] b. Location configuration mainly includes: location code, location name, and tracking mode (whether the location belongs to level one or level two tracking). If it is level one tracking mode, configure the distance between the location and the nearest weld inspection instrument, the level one start location code, and the level one end location code. If it is level two tracking mode, configure the level two tracking sequence number.

[0052] 2. Duration Calculation Module. Based on location configuration information and combined with primary and secondary tracking result message data, the module calculates the arrival and departure times of raw material rolls at each location, thereby determining the duration interval for each location. This provides strong evidence for determining whether the production line is operating normally and for identifying the location of faults.

[0053] a. Level 1 Tracking Mode: Based on the distance to the weld inspection instrument and the Level 1 tracking message data in the location information configuration, the current raw material roll number at that location can be determined.

[0054] 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 this location can be obtained (if there is already a finished product at this time).

[0055] c. Based on the current operating coil number at that location, when a change is detected in the coil number at that location, the moment of change is the departure time of the previous coil and the arrival time of the next coil.

[0056] In a preferred embodiment of the present invention, for example: at time t, the number of the raw material coil running at position P changes from A to B. Then, steel coil A leaves position P at time t, and steel coil B arrives at position P at time t. This process is repeated to calculate the arrival and departure times at all configured positions. The difference between the departure and arrival times gives the duration for each position.

[0057] 3. Parameter Calculation Module. This module mainly includes length calculation, maximum, minimum, and average value calculation, multiple process standard hit rate calculation, and alarm calculation. It focuses on process quality analysis, laying a solid foundation for digital steel coil data analysis. It can provide real-time feedback on the validity of process setpoints, assisting on-site process personnel in constantly adjusting and optimizing process models, significantly improving production capacity and product quality.

[0058] a. For the first-level tracking mode, based on the distance length from the weld seam detector in the location information configuration and the first-level tracking result message, the current raw material coil number at that location and the length of the steel coil head from that location (hereinafter referred to as: head length) can be obtained. At the same time, the process parameter values ​​currently running at that location can be obtained, thus successfully completing the length calculation.

[0059] b. Cache the raw material coil number, end length, and process parameter values ​​for length calculation. When the steel coil leaves this position, acquire all process parameter values ​​in real time and calculate the maximum / minimum / average values. Based on the steel type / width / thickness of the steel coil, filter and match the corresponding upper and lower limits of multiple process parameters. Then, based on all process parameter values, calculate the process parameter hit rate: number of values ​​matching the upper and lower limits / total number.

[0060] c. Based on the steel type / width / thickness of the steel coil, obtain the corresponding alarm upper and lower limits of the process parameters, and determine in real time whether the process parameter values ​​exceed the alarm upper and lower limits. If they do, issue an alarm result: raw material coil number, location code, lead length, real-time parameter value, alarm upper and lower limits.

[0061] This invention, capable of dynamically reading position configuration information on cold rolling lines and standardizing tracking result message data, is flexibly applicable to multiple different types of processing lines, including continuous annealing lines, pickling lines, and galvanizing lines. On-site implementation is easy to learn, with low complexity; only relevant configuration is required, significantly shortening the implementation cycle and improving debugging efficiency. Position configuration information can be flexibly added or modified without modifying any code, completing relevant tracking calculations, effectively reducing maintenance costs and providing a quick and convenient response to user needs.

[0062] Example 2

[0063] The real-time data tracking method for digital steel coils based on a cold rolling line according to an embodiment of the present invention includes the following steps:

[0064] (1) Define and configure the tracking positions on the line according to the actual situation of the cold rolling line.

[0065] (2) Traverse all tracking position configurations and execute the corresponding tracking judgment logic according to the tracking mode (level 1 / level 2) at the tracking position.

[0066] (3) If the position is in Level 1 tracking mode (see...) Figure 2 The system subscribes to first-level tracking message data in real time and initializes the data structure to obtain all online raw material roll numbers and the length of the raw material roll head beyond each weld inspection instrument. It then matches the raw material roll number corresponding to the weld inspection instrument with the smallest length difference to that position. The system iteratively updates the raw material roll number data list at each position. If the raw material roll number at the current position changes during the current loop, it records the current time as the time the raw material roll number arrives at that position during the current loop. If a first-level start position exists at that position, it records the current time as the time the raw material roll number leaves that first-level start position during the current loop. Conversely, if no first-level start position exists, it records the current time as the time the raw material roll number left that position in the previous loop.

[0067] (4) If the position is in secondary tracking mode (see Figure 3 The system subscribes to secondary tracking message data in real time and initializes the data structure to obtain all raw material roll number data at the positions defined by the secondary level. It iteratively updates the raw material roll number data list at each position. If the raw material roll number at the current position changes during the current loop, it records the current time as the time the raw material roll number arrived at that position in the current loop, and also records the time the raw material roll number left that position in the previous loop.

[0068] (5) Length Calculation: The difference between the length of the nearest weld inspection instrument in the position configuration and the length that the raw material roll head crosses on the corresponding weld inspection instrument is taken as the length that the raw material roll head crosses at that position. At the same time, subscribe to process parameter messages, obtain the real-time values ​​of process parameters, and store the raw material roll number, the head length, and the real-time values ​​of process parameters together in the time series database to complete the length calculation.

[0069] (6) When the raw material coil numbers at all locations are obtained, subscribe to the process parameter messages simultaneously, obtain the real-time values ​​of the process parameters, and cache all raw material coil numbers and real-time process parameter values. When the steel coil leaves the location, obtain all process parameter values ​​for the corresponding raw material coil number, and calculate the maximum / minimum / average value.

[0070] (7) Based on the steel type / width / thickness of the raw material coil, filter and match the upper and lower limits of the process quality standard. Combine all the cached process quality parameter values, count the number of qualified parameters that meet the upper and lower limits, divide by the total number of parameters, and calculate the process quality hit rate.

[0071] (8) Simultaneously subscribe to process quality messages to obtain real-time values ​​of all process parameters. If the real-time value does not meet the upper and lower limits of the process quality standard, issue the corresponding alarm information: raw material roll number, real-time process value, upper and lower limits of process quality standard, and length of the lead.

[0072] Experiments have demonstrated that the digital steel coil real-time data tracking method of this invention can achieve real-time tracking and calculation that matches production data with material information. It can analyze the process parameters experienced by each steel coil on the cold rolling line at each meter of the online equipment and location, effectively provide feedback on the real-time production operation of the steel coil, assist on-site production personnel in optimizing the process model, greatly improve product quality and production efficiency, and lay a solid foundation for the subsequent construction of a smart factory.

[0073] It should be understood that those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.

Claims

1. A method for tracking real-time data of a digital steel coil based on a cold rolling processing line, characterized in that, The method includes the following steps: Step 1: Define and configure the tracking positions on the cold rolling line according to the actual conditions of the line. Step 2: Traverse all tracking position configurations and execute the corresponding tracking judgment logic according to the tracking mode at the tracking position. The tracking modes include first-level tracking mode and second-level tracking mode. Step 3: If the position is in Level 1 tracking mode, subscribe to Level 1 tracking message data in real time and initialize the data structure to obtain all raw material roll numbers online and the length data of the raw material roll head crossing each weld seam detector. Match the raw material roll number corresponding to the weld seam detector with the smallest difference in the length of the raw material roll head crossing the weld seam detector to this position; and update it cyclically. Step 4: If the location is in Level 2 tracking mode, subscribe to Level 2 tracking message data in real time and initialize the data structure to obtain all raw material roll number data at the location defined by Level 2; and update it cyclically. Step 5: The difference between the length of the nearest weld inspection instrument in the position configuration and the length that the raw material coil head crosses on the corresponding weld inspection instrument is taken as the length that the raw material coil head crosses over that position. Step 6: When the steel coil leaves this position, obtain all the process parameter values ​​for the corresponding raw material coil number, and calculate the maximum / minimum / average value; Step 7: Based on the steel type / width / thickness of the raw material coil, filter and match the upper and lower limits of the process quality standards. Combine all the cached process quality parameter values, count the number of qualified parameters that meet the upper and lower limits, divide by the total number of parameters, and calculate the process quality hit rate. Step 8: Subscribe to process quality messages to obtain real-time values ​​of all process parameters. If the real-time value does not meet the upper or lower limits of the process quality standard, issue the corresponding alarm information.

2. The digital steel coil real-time data tracking method based on a cold rolling processing line according to claim 1, characterized in that, The methods for defining and configuring the online tracking location in step 1 include: Definition of online tracking location: Divide the entire cold rolling production line into segments: entrance segment, process segment, and exit segment; define the key equipment and locations in each segment, including: saddle, uncoiler, welding machine, alkaline washing zone, heating section, plate thermometer, flying shear, and coiler; Online tracking location configuration: location code, location name, tracking mode; tracking modes include: level 1 tracking mode and level 2 tracking mode; if it is level 1 tracking mode, configure the distance length of the location from the nearest weld inspection instrument, level 1 start location code, level 1 end location code; if it is level 2 tracking mode, configure the level 2 tracking sequence number.

3. The digital steel coil real-time data tracking method based on a cold rolling processing line according to claim 1, characterized in that, The method for cyclical updates in step 3 is as follows: 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 at 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.

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

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

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

7. A real-time data tracking system for digital steel coils based on a cold rolling line, characterized in that, Includes the following modules: The position configuration module is used to define and configure key positions on the cold rolling line to obtain position configuration information; The definition of critical locations includes: dividing the cold rolling production line into segments, defining the critical equipment and locations in each segment; the configuration of critical locations includes: location code, location name, and 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 times 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 interval of each location. The parameter calculation module is used to calculate length, maximum, minimum and average values, multiple process standard hit rate, and alarm calculation.

8. The real-time data tracking system for digital steel coils based on a cold rolling line according to claim 7, characterized in that, The duration calculation module includes: The first-level tracking mode unit is used to determine the current raw material roll number at the current location based on the distance to the weld inspection instrument and the first-level tracking message data in the location configuration information. The secondary tracking mode unit is used to determine 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 there are already finished products. The duration calculation unit is used to calculate the departure time of the previous coil and the arrival time of the next coil when a change is detected in the raw material coil number at the current location, based on the current raw material coil number at the current location; and to calculate the arrival time and departure time at all configured locations, where the departure time minus the arrival time is the duration interval for each location.

9. The real-time data tracking system for digital steel coils based on a cold rolling line according to claim 7, characterized in that, The parameter calculation module includes: The length calculation unit, for the first-level tracking mode, calculates the current raw material coil number at the location based on the distance from the weld inspection instrument in the location configuration information and the first-level tracking result message, as well as the length of the steel coil head from the location, referred to as the head length. At the same time, it obtains the process parameter values ​​that are currently running at the location and completes the length calculation. The maximum, minimum, and average value calculation unit is used to cache the raw material coil number, strip length, and process parameter values ​​for length calculation. When the steel coil leaves this position, all process parameter values ​​are acquired in real time to calculate the maximum / minimum / average value. The multi-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 grade / 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 alarm upper and lower limits of the process parameters based on the steel type, width, and thickness of the steel coil, and to determine in real time whether the process parameter values ​​exceed the alarm upper and lower limits. If they do, an alarm is issued.

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

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