A method, apparatus, electronic device, and medium for analyzing strip tension.

Abstract

This invention discloses a method, apparatus, electronic device, and medium for analyzing strip tension. The method includes: collecting tension information of strip steel on a target production line within each preset scanning cycle; calculating the tension fluctuation rate based on the collected tension information; determining whether the tension fluctuation rate is within a target range, where the target range is one of multiple preset fluctuation rate ranges; if so, incrementing the tension fluctuation count in the target range by 1; and determining the strip tension fluctuation status based on the tension fluctuation counts for each of the multiple fluctuation rate ranges. This method enables online analysis of strip tension fluctuation, automatically analyzing strip tension fluctuation data according to a unified standard, which helps improve the accuracy of the tension fluctuation analysis results.

Description

Technical Field

[0001] This invention relates to the field of cold rolling processing technology, and in particular to a method, apparatus, electronic device and medium for analyzing strip tension. Background Technology

[0002] Cold-rolled strip steel galvanizing and continuous annealing production lines are long and include multiple zones for segmented tension control, making tension control a crucial guarantee for production line operation. However, tension control is subject to many constraints from on-site conditions, including the installation accuracy of rollers, the accuracy of tension gauges, equipment deterioration, strip steel grade, strip thickness, tension control parameters, and dynamic compensation of variable frequency motors. As production line operating time increases, equipment deteriorates, maintenance is inadequate, and equipment changes occur, leading to poorer tension control, increased tension fluctuations, more equipment failures, and unstable production. Therefore, tension analysis and evaluation by technical personnel are necessary. However, this analysis and evaluation is usually only conducted after a specific fault or product quality problem occurs, resulting in a certain lag.

[0003] Currently, tension fluctuation analysis typically involves analyzing offline data acquired at high speeds. Since analysis is limited to open data, the large volume of data makes the data opening process extremely slow. A corresponding solution is to reduce the amount of data opened at once, for example, opening only a few hours of data for analysis, followed by opening several more hours. By reducing the amount of data opened at once, the data opening speed is increased before analysis. When analyzing data over a longer period, such as monthly data, excessive manual operation is required, resulting in significant time consumption and manpower costs. Furthermore, data analysis is a human activity, subject to subjective judgment; different personnel's analyses can lead to inconsistent results. While there are methods to automatically retrieve data from offline datasets, the retrieval cycle is long (15-30 seconds) to prevent network load increases, rendering it meaningless for analyzing instantaneous tension fluctuations. Summary of the Invention

[0004] This application provides a method, apparatus, electronic device, and medium for analyzing strip tension. This method enables online analysis of strip tension fluctuations and automatically analyzes strip tension fluctuation data according to a unified standard, which helps improve the accuracy of tension fluctuation analysis results.

[0005] In a first aspect, the present invention provides the following technical solution through an embodiment of the present invention:

[0006] A method for analyzing strip tension, comprising:

[0007] Within each preset scanning cycle, tension information of strip steel on the target production line is collected; for the collected tension information, the tension fluctuation rate is calculated; it is determined whether the tension fluctuation rate is within the target range, which is one of a preset range of multiple fluctuation rate ranges. If so, the tension fluctuation number of the target range is incremented by 1; based on the tension fluctuation number of each of the multiple fluctuation rate ranges, the tension fluctuation of the strip steel is determined.

[0008] Preferably, determining the tension fluctuation of the strip steel based on the tension fluctuation counts of each of the plurality of fluctuation range intervals includes: collecting the tension fluctuation counts in the plurality of fluctuation range intervals at each preset collection time; obtaining a corresponding fluctuation curve for each fluctuation range interval based on the collected tension fluctuation counts; and determining the tension fluctuation of the strip steel based on the fluctuation curves.

[0009] Preferably, the method further includes: if the target production line meets the preset reset conditions, then the tension fluctuation count value in the plurality of fluctuation range intervals is cleared to zero.

[0010] Preferably, before collecting the tension information of the strip steel on the target production line, the method further includes: determining whether the target production line meets the preset collection conditions; if it does, then performing the step of collecting the tension information of the strip steel on the target production line.

[0011] Preferably, determining whether the target production line meets the preset collection conditions includes: determining whether the region where the strip steel is located on the target production line meets the preset collection conditions.

[0012] Preferably, determining whether the region where the strip is located on the target production line meets the preset collection conditions includes: if the strip is in the process section region, determining whether the speed of the process section region is within a preset first stable speed range; if the strip is in the inlet looper or outlet looper region,

[0013] Then determine whether the speed of the inlet looper and outlet looper areas is within the preset second stable speed range; if the strip is in the uncoiler or coiler area, then determine whether the uncoiler or coiler has been tensioned.

[0014] Preferably, the method further includes: recording the current time; if the current time is greater than a preset zeroing time value, then the number of tension fluctuations in the plurality of volatility range intervals and the current time are zeroed.

[0015] Secondly, through an embodiment of the present invention, the present invention provides the following technical solution:

[0016] A strip tension analysis method device includes: a data acquisition module for acquiring strip tension information on a target production line within each preset scanning cycle;

[0017] The calculation module is used to calculate the tension fluctuation rate based on the collected tension information;

[0018] The judgment module is used to determine whether the tension volatility is within a target range, wherein the target range is one of a preset plurality of volatility ranges. If so, the target range is set to...

[0019] Increment the tension fluctuation count by 1;

[0020] 5. Determination module, used to determine based on the tension fluctuation count values ​​of each of the multiple volatility range intervals.

[0021] The tension fluctuation of the strip steel is described.

[0022] Thirdly, through one embodiment of the present invention, the following technical solution is provided:

[0023] An electronic device includes: a memory, a processor, and components stored in the memory and operable on the processor.

[0024] A computer program that the processor executes to implement the steps of any of the methods described in the first aspect above.

[0025] Fourthly, through one embodiment of the present invention, the following technical solution is provided:

[0026] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described in any of the first aspects above.

[0027] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0028] The strip tension analysis method provided in this invention collects strip tension information in each preset scanning cycle, calculates the corresponding tension fluctuation rate, and divides the tension fluctuation rate into ranges, ensuring that the obtained tension fluctuation rates belong to corresponding fluctuation range intervals. The number of tension fluctuations contained in each fluctuation range interval is the result accumulated in each preset collection cycle. Based on the number of tension fluctuations in each of the multiple fluctuation range intervals, the number of tension fluctuations contained in different range intervals can be clearly obtained, thus providing a more intuitive understanding of the tension fluctuation situation, i.e., the proportion of tension fluctuation ranges. This method can capture instantaneous tension, enabling online analysis of strip tension fluctuations, resulting in better timeliness of data analysis. Furthermore, the use of automatic collection, partitioning, and accumulation ensures that the analyzed strip tension fluctuation data is generated under a unified standard, which helps improve the accuracy of the tension fluctuation analysis results. This method eliminates the need for manual data export, significantly reducing labor costs and required operation time. Attached Figure Description

[0029] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0030] Figure 1 A flowchart illustrating the strip tension analysis method provided in this embodiment of the invention;

[0031] Figure 2 A schematic diagram of the structure of the strip tension analysis device provided in an embodiment of the present invention;

[0032] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0033] This application provides a method, apparatus, electronic device, and medium for analyzing strip tension. This method enables online analysis of strip tension fluctuations and automatically analyzes strip tension fluctuation data according to a unified standard, which helps improve the accuracy of tension fluctuation analysis results.

[0034] The overall technical solution of this application embodiment is as follows:

[0035] A method for analyzing strip tension includes: collecting strip tension information on a target production line within each preset collection cycle; calculating the tension fluctuation rate based on the collected tension information; determining whether the tension fluctuation rate is within a target range, where the target range is one of a set of preset fluctuation rate ranges; if so, incrementing the tension fluctuation count of the target range by 1; and determining the tension fluctuation status of the strip based on the tension fluctuation counts of each of the multiple fluctuation rate ranges.

[0036] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0037] It should be noted that the strip tension analysis method provided in this application can be applied to cold rolling lines (galvanizing, continuous annealing, tin plating, etc.) in steel plants to statistically analyze the tension fluctuations of strips. Of course, this analysis method can also be applied to other processing positions in the field of cold rolling technology, and this application does not limit it.

[0038] Firstly, the embodiments of the present invention provide a method for analyzing strip tension, specifically, as follows: Figure 1 As shown, the method includes the following steps S101 to S104.

[0039] Step S101: Collect the tension information of the strip steel on the target production line within each preset scanning cycle.

[0040] In practical implementation, the tension information scanning device can be the central processing unit (CPU) of the PLC on the target production line. The preset scanning cycle can be determined by setting the CPU's scanning cycle. For example, setting the CPU's scanning cycle to 50ms means that the tension information of the strip steel is collected with a scanning cycle of 50ms. By collecting the tension information of the strip steel in real time and calculating the tension information, the real-time performance and accuracy of tension fluctuation analysis are ensured.

[0041] Specifically, the tension information here can include set tension, actual tension, and maximum tension, etc. It should be noted that if the area where the strip is located (e.g., coiler, exit looper area) is different, the set tension and maximum tension collected may also be different. The set tension and maximum tension are fixed values ​​in the corresponding area. The set tension is the tension value required for the strip in the corresponding area, and the maximum tension represents the maximum tension value that can be achieved in that area.

[0042] In a specific embodiment, before collecting the tension information of the strip steel, it is necessary to determine whether the target production line meets the collection requirements. Otherwise, when the production line stops and the tension is released, it only means that the tension is no longer controlled and generated, but the strip steel itself still has tension. At this time, there is still a tension difference, and it is meaningless to collect the value at this time.

[0043] Therefore, in order to obtain more accurate tension information, before collecting the tension information of the strip steel on the target production line, the following steps may be included: determining whether the target production line meets the preset collection conditions; if so, then executing the step of collecting the tension information of the strip steel on the target production line.

[0044] Specifically, determining whether the target production line meets the preset collection conditions can include: judging whether the area where the strip steel is located on the target production line meets the preset collection conditions.

[0045] Specifically, the judgment conditions vary slightly depending on the area of ​​the target production line. If the strip is in the process section area, it is judged whether the speed of the process section area is within the preset first stable speed range. If the strip is in the inlet looper or outlet looper area, it is judged whether the speed of the inlet looper or outlet looper area is within the preset second stable speed range. If the strip is in the uncoiler or coiler area, it is judged whether the uncoiler or coiler has been tensioned.

[0046] Specifically, this includes: 1. In the process section area with stable speed (e.g., the belt threading process): determine whether the speed in the process section area is greater than the preset first stable speed (e.g., the first stable speed is 30m / min), so as to ensure the belt threading process during production and from stopping to starting.

[0047] 2. In the inlet and outlet looper areas: Determine whether the speed in the inlet and outlet looper areas is greater than the preset second stable speed (e.g., the second stable speed is 30m / min).

[0048] 3. In the uncoiler or coiler area: Determine whether the uncoiler or coiler has established tension. If the uncoiler (coiling machine) is connected and tension has been established, it indicates that the uncoiler (coiling machine) welding is complete and tension has been established. Since the uncoiler (coiling machine) needs to establish tension and release tension, this stage is also the main tension control point.

[0049] Step S102: Calculate the tension fluctuation rate based on the collected tension information.

[0050] In an optional embodiment, if the tension information includes the set tension, the actual tension, and the maximum tension, the tension fluctuation rate can be calculated based on the collected tension information. This can include: calculating the tension fluctuation rate according to the formula (1): tension fluctuation rate = absolute value function ABS((set tension - actual tension) / maximum tension).

[0051] As another optional embodiment, if the tension information includes the set tension and the actual tension, the tension fluctuation rate can be calculated based on the collected tension information. This can include: calculating the tension fluctuation rate according to the formula: Tension Fluctuation Rate = Absolute Value Function ABS((Set Tension - Actual Tension) / Set Tension).

[0052] The above two calculation formulas are two modes for calculating tension fluctuation rate. You can choose to perform data statistics based on mode 1 (formula 1) and mode 2 (formula 2).

[0053] Step S103: Determine whether the tension fluctuation rate is within the target range. The target range is one of a preset range of multiple fluctuation rates. If so, increment the tension fluctuation number of the target range by 1.

[0054] In specific embodiments, multiple volatility ranges are preset. In practical applications, the appropriate number and range of ranges can be designed as needed.

[0055] As an optional embodiment, the multiple volatility ranges of this application may include four volatility ranges, namely a first volatility range, a second volatility range, a third volatility range, and a fourth volatility range. For example, the first volatility range is (15%, 30%), the second volatility range is (30%, 50%), the third volatility range is (50%, 80%), and the fourth volatility range is greater than 80%.

[0056] When the tension fluctuation rate falls within one of the intervals, the tension fluctuation count within that interval is incremented by 1. Specifically, by defining four double-integer data points (e.g., a range of -2147483648 to 2147483648), tension fluctuations are counted using four intervals. When the tension fluctuation rate falls within one of these intervals, the double-integer data point for that interval is automatically incremented by 1, ensuring that within each scan cycle, when the tension fluctuation rate falls within one of these intervals, a tension fluctuation is recorded once within that interval.

[0057] It should be noted that since the duration of each tension fluctuation varies, a single tension fluctuation may last for several scan cycles. Since each recorded occurrence is based on a scan cycle, the accumulated number of tension fluctuations within a given interval does not represent the total number of tension fluctuations. Generally, the sum of several data points can be understood as representing one tension fluctuation. This method allows us to obtain a statistically significant number of tension fluctuations, expressing the tension fluctuation rate as a probability.

[0058] In specific embodiments, although the range of double-integer data is large, continuous accumulation can still lead to data overflow, so a function to re-accumulate data is also required. To achieve continuous accumulation of data, the analysis method provided in this application may further include: if the target production line meets the preset reset conditions, then the tension fluctuation count values ​​in multiple volatility range intervals are cleared to zero.

[0059] The preset reset condition can be a reset command that is automatically generated when the reset requirements of the design are met, or it can be a reset command sent by human operation.

[0060] Specifically, the conditions for meeting the preset reset conditions can include at least the following three situations: 1. Receiving an externally triggered reset command, i.e., the operator manually clears the data; 2. Automatically clearing the data when the preset clearing time is reached, i.e., setting a fixed date and automatically clearing the data after the fixed date is reached; 3. Automatically clearing the data when the calculation mode of tension fluctuation rate (mode 1 and mode 2) is switched.

[0061] In a specific embodiment, the method may further include: recording the current time; if the current time is greater than a preset zeroing time value, then resetting the tension fluctuation count in multiple fluctuation range intervals and the current time to zero. Here, recording the current time can be before collecting the tension information of the strip steel on the target production line or at other suitable times.

[0062] The current time is the accumulated time since the last reset. The preset reset time value can be several days, several hours, or several minutes, etc. For example, the preset reset time value is 3 days. When the accumulated time (current time) is greater than 3 days, the tension fluctuations in the multiple volatility ranges accumulated before and the current time are reset to zero.

[0063] Specifically, since the data is accumulated, the data value will increase as the number of days increases. Therefore, it is necessary to calculate the date statistics since the last time the data was cleared to determine how many days the data statistics are for.

[0064] The current time accumulation is achieved by converting second data to minute data, and minute data to day data. Therefore, a recording function based on minutes or hours can also be established, allowing staff to intuitively see how many days the data has been collected. This function can also calculate daily average data, which is based on the minute accumulation at the time of the last reset. Additionally, it can display the number of minutes based on the day. For example, if the reset time is 9:00 AM, the timer starts counting from that moment. After 60 × 24 = 1440 minutes, the date is incremented by 1, the minutes are reset to zero, and the accumulation begins again. The human-machine interface can display the number of minutes to monitor whether the function is running.

[0065] It should be noted that after the reset function is enabled, the second, minute, and day data are all cleared to zero, and the accumulated values ​​of each interval are also cleared to zero.

[0066] During the analysis of tension fluctuations, the number of tension fluctuations in each interval can only be accumulated when the target production line meets the preset collection conditions, and the number of seconds recorded can be accumulated (and then the number of minutes and the number of days can be accumulated). Otherwise, the accumulation of the number of tension fluctuations in each interval will be paused, and the accumulation of the number of seconds will also be paused.

[0067] If the target production line does not meet the preset data collection conditions, the tension information of the strip steel on the target production line will not be collected. At this time, the reset function and tension fluctuation mode can be switched.

[0068] Step S104: Determine the tension fluctuation of the strip steel based on the tension fluctuation number of each of the multiple fluctuation ranges.

[0069] As an optional embodiment, determining the tension fluctuation of the strip steel based on the tension fluctuation counts of each of the multiple fluctuation range intervals may include: collecting the tension fluctuation counts of the multiple fluctuation range intervals at each preset collection time; obtaining the corresponding fluctuation curve for each fluctuation range interval based on the collected tension fluctuation counts; and determining the tension fluctuation of the strip steel based on the fluctuation curves.

[0070] In a specific embodiment, the data for each interval is recorded as a curve. The recording frequency is once for each preset data collection time. This results in a small amount of data, facilitates the analysis of monthly data, and reduces the system load. Assuming the preset collection time is every hour, for each volatility range, the tension fluctuations within that volatility range are collected every hour to obtain the volatility curve.

[0071] For example, for the first volatility range, the number of tension fluctuations collected in the first hour is 50, the number of tension fluctuations collected in the second hour is 100, the number of tension fluctuations collected in the third hour is 260, and so on. Based on the obtained number of tension fluctuations, a fluctuation curve is obtained (the horizontal axis is the collection time, and the vertical axis is the number of tension fluctuations).

[0072] Because the data is counted cumulatively, what is ultimately displayed on the human-machine interface is merely the data itself, without revealing the time period during which significant tension fluctuations occurred. When a curve function is available, a rapid increase in the value within a certain range indicates that significant tension fluctuations have occurred.

[0073] If the fluctuation curve shows an increase in the values ​​of the third and fourth fluctuation ranges, it indicates that the strip steel has experienced significant tension fluctuations. The time range of these tension fluctuations can be determined using the time axis of the curve, and then offline data analysis can be performed.

[0074] By recording the tension fluctuations of the strip steel in different zones of the production line, and analyzing the recorded values ​​from each zone, the tension fluctuations and the periods of significant tension fluctuations can be identified. Applying this function to different production lines allows for a horizontal comparison of the quality of tension fluctuations, thus evaluating the effectiveness of tension control.

[0075] As an optional embodiment, when the tension volatility is within the third or fourth volatility range, an alarm command can be sent, causing the alarms in the target production line to sound an alarm based on the command. Alternatively, a stop command can be sent, causing the production line to automatically stop.

[0076] This application enables the determination of the range and frequency of tension fluctuations over a past period by observing several accumulated data points, eliminating the need to query numerous historical curves and effectively increasing efficiency and reducing time costs. When there are significant changes in tension fluctuation data, observing the curve can quickly pinpoint the time of the event without having to verify all time periods of the offline curve. Furthermore, this method establishes a unified standard, reducing subjective judgment and the need for precise measurement. It can be used for different time stages within the same production line, as well as for horizontal comparisons between different production lines.

[0077] Suppose the analytical method provided in this application is applied to a cold-rolled galvanizing production line to achieve tension statistics:

[0078] The galvanizing line involves nearly 10 tension zones, and the tension fluctuation analysis data acquisition frequency is 10ms. To access the tension data for the entire day, it would be equivalent to operating on 20 (points) * 100 (100 ms per second) * 86400 (seconds per day) = 172.8 million points. Accessing and analyzing this amount of data once takes 10 minutes. This saves 10 minutes of personnel time daily, and 10 (minutes) * 365 (days) = 60.8 hours annually.

[0079] This method can effectively count the number of tension fluctuations, improve accident prevention, and reduce shutdowns caused by tension. The production loss due to shutdown = shutdown time per time (hours) × number of similar accidents per year × number of strip steel produced per minute during normal production (tons) × profit per ton of steel (ten thousand yuan) = 3 (hours / time) × 72 (tons / hour) × 0.05 (ten thousand yuan / ton) = 108,000 yuan.

[0080] Based on an average of 2 times per year, the comprehensive annual benefit is approximately: 10.8 * 2 (times) = 216,000 yuan / year.

[0081] In summary, the strip tension analysis method provided by this invention enables online analysis of strip tension fluctuations, automatically analyzes strip tension fluctuation data according to a unified standard, improves the accuracy of tension fluctuation analysis results, and significantly reduces labor costs and required operation time.

[0082] Secondly, based on the same inventive concept, this embodiment provides a strip tension analysis device, such as... Figure 2 As shown, it includes:

[0083] The acquisition module 401 is used to acquire the tension information of the strip steel on the target production line in each preset scanning cycle;

[0084] The calculation module 402 is used to calculate the tension fluctuation rate based on the collected tension information;

[0085] The judgment module 403 is used to determine whether the tension fluctuation rate is within the target range, wherein the target range is one of the preset multiple fluctuation range ranges. If it is, the tension fluctuation count value of the target range is incremented by 1.

[0086] The determination module 404 is used to determine the tension fluctuation of the strip steel based on the tension fluctuation count values ​​of each of the multiple fluctuation ranges.

[0087] As an optional embodiment, the determining module 404 is specifically used to: collect the number of tension fluctuations in multiple fluctuation ranges at each preset collection time; obtain the corresponding fluctuation curve based on the collected number of tension fluctuations for each fluctuation range; and determine the tension fluctuation of the strip steel based on the fluctuation curve.

[0088] As an optional embodiment, the device further includes a reset module, used to clear the tension fluctuation count value in multiple fluctuation range intervals if the target production line meets the preset reset conditions.

[0089] As an optional embodiment, the device further includes: a data acquisition condition judgment module, used to determine whether the target production line meets the preset data acquisition conditions; if so, to execute the step of acquiring the tension information of the strip steel on the target production line.

[0090] As an optional embodiment, determining whether the target production line meets the preset collection conditions includes: determining whether the area where the strip is located on the target production line meets the preset collection conditions.

[0091] As an optional embodiment, determining whether the area where the strip is located on the target production line meets the preset collection conditions specifically includes: if the strip is in the process section area, determining whether the speed of the process section area is within a preset first stable speed range; if the strip is in the inlet looper or outlet looper area, determining whether the speed of the inlet looper or outlet looper area is within a preset second stable speed range; if the strip is in the uncoiler or coiler area, determining whether the uncoiler or coiler has been tensioned.

[0092] As an optional embodiment, the device further includes a zeroing module, used to record the current time; if the current time is greater than a preset zeroing time value, the tension fluctuation count in multiple volatility ranges and the current time are reset to zero. Each of these modules can be implemented by software code, in which case they can be stored in the memory of the control device. Alternatively, each of these modules can be implemented by hardware, such as an integrated circuit chip.

[0093] The strip tension analysis device provided in this embodiment of the invention has the same implementation principle and technical effect as the aforementioned method embodiment. For the sake of brevity, any parts not mentioned in the device embodiment can be referred to the corresponding content in the aforementioned method embodiment.

[0094] Thirdly, based on the same inventive concept, this embodiment provides an electronic device 500, such as... Figure 3 As shown, it includes: a memory 501, a processor 502, and a computer program 503 stored in the memory and executable on the processor. When the processor 501 executes the program, it implements the steps of the strip tension analysis method described in the first aspect above.

[0095] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0096] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for analyzing strip tension, characterized in that, include: Within each preset scanning cycle, the tension information of the strip steel on the target production line is collected; Calculate the tension fluctuation rate based on the collected tension information; Determine whether the tension fluctuation rate is within the target range, where the target range is one of a set of preset fluctuation ranges. If so, increment the tension fluctuation number of the target range by 1. Based on the tension fluctuation number of each of the multiple fluctuation ranges, the tension fluctuation of the strip is determined; The step of determining the tension fluctuation of the strip steel based on the tension fluctuation count of each of the multiple fluctuation range intervals includes: collecting the tension fluctuation count in each of the multiple fluctuation range intervals at each preset collection time. For each fluctuation range, a corresponding fluctuation curve is obtained based on the number of collected tension fluctuations; based on the fluctuation curve, the tension fluctuation of the strip is determined.

2. The method as described in claim 1, characterized in that, Also includes: If the target production line meets the preset reset conditions, the tension fluctuation count value in the multiple volatility ranges is cleared to zero.

3. The method as described in claim 1, characterized in that, Before collecting the tension information of the strip steel on the target production line, the following steps are also included: Determine whether the target production line meets the preset acquisition conditions. If it does, then execute the step of acquiring the tension information of the strip steel on the target production line.

4. The method as described in claim 3, characterized in that, The step of determining whether the target production line meets the preset data collection conditions includes: Based on the area where the strip is located on the target production line, determine whether the area meets the preset collection conditions.

5. The method as described in claim 4, characterized in that, The step of determining whether the region where the strip is located on the target production line meets the preset collection conditions includes: If the strip is in the process section area, then determine whether the speed of the process section area is within the preset first stable speed range; If the strip is in the inlet looper and outlet looper regions, then determine whether the speed in the inlet looper and outlet looper regions is within the preset second stable speed range; If the strip is in the uncoiler or coiler area, then determine whether the uncoiler or coiler has been set up.

6. The method as described in claim 1, characterized in that, Also includes: Record the current time. If the current time is greater than the preset zeroing time value, then reset the tension fluctuation number in the multiple volatility range intervals and the current time to zero.

7. A device for analyzing strip tension, characterized in that, include: The acquisition module is used to acquire the tension information of the strip steel on the target production line within each preset scanning cycle; The calculation module is used to calculate the tension fluctuation rate based on the collected tension information; The judgment module is used to determine whether the tension fluctuation rate is within the target range, wherein the target range is one of a preset multiple fluctuation range ranges. If so, the tension fluctuation count value of the target range is incremented by 1. The determination module is used to determine the tension fluctuation of the strip steel based on the tension fluctuation count values ​​of each of the multiple fluctuation ranges. The determining module is specifically used for: collecting the number of tension fluctuations in the multiple fluctuation ranges at each preset collection time; obtaining the corresponding fluctuation curve based on the collected number of tension fluctuations for each fluctuation range; and determining the tension fluctuation of the strip steel based on the fluctuation curve.

8. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the program, implements the steps of the method according to any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the program implements the steps of the method described in any one of claims 1-6.

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