Modularized supporting configuration device of coil steel support

Abstract

The invention relates to the technical field of steel coil supporting, in particular to a modular supporting configuration device of a coil steel support, which comprises a supporting module, a plurality of supporting units, a plurality of placing frames and a plurality of supporting modules, a data acquisition module; comprising a first data processing unit, a second data processing unit, a third data processing unit and a fourth data processing unit; the loading detection module is used for judging whether loading of the coil steel meets a preset standard or not according to the axis posture deviation degree of the coil steel; the transportation detection module is used for judging whether the support of the support module meets a preset standard or not according to the stability characterization value of the coil steel; the reason determining module is used for determining the reason that the support of the support module does not meet the preset standard according to the impact strength peak value of the container; and the early warning module is used for executing the corresponding early warning response strategy. The supporting efficiency of the coil steel support is improved.

Description

Technical Field

[0001] This invention relates to the field of steel coil support technology, and in particular to a modular support configuration device for a steel coil support. Background Technology

[0002] As an important industrial raw material, coiled steel (such as steel coils and aluminum coils) is usually transported using containers or specialized vehicles. Because coiled steel is cylindrical, heavy (up to tens of tons), and has a high center of gravity, it is highly susceptible to damage during transport due to rolling, sliding, or tilting, which can lead to damage to the goods, the transport vehicle, or even major safety accidents. Therefore, reliable securing and supporting of coiled steel is crucial for safe transport.

[0003] Currently, the transportation of coiled steel within containers commonly employs a pre-configured number of fixed supports or brackets. These supports are typically welded or bolted to the container floor, forming fixed support positions. During loading, operators, based on experience, hoist the coiled steel onto the support positions and manually reinforce it with straps, wedges, etc. This static and rigid support configuration cannot be dynamically adjusted according to the specifications of the coiled steel, resulting in both safety redundancy and wasted transport capacity, and making it impossible to perceive changes in support status and risks in real time. Therefore, how to achieve dynamic adaptation of supports, quantitative assessment of loading, and real-time visibility of the process has become a key technical problem that urgently needs to be solved to improve the safety of coiled steel transportation.

[0004] Chinese Patent Application Publication No. CN106347849A discloses a vehicle steel coil transport bracket, including two symmetrically arranged bracket bases. Each bracket base has a hanging plate vertically connected to its middle. The two hanging plates are respectively fixed to both ends of a connecting seat. The lower end of the connecting seat has a groove that mates with the hanging plate. The bracket base has multiple support frames symmetrically arranged on both sides of the hanging plate. The support frame is a triangular prism structure with an arc-shaped support part and has three through holes running horizontally. Connecting columns are inserted into the through holes to connect the support frames to each other. One of the connecting columns is fixed to a limiting plate located at both ends of the bracket base.

[0005] It can be seen that the above technical solutions do not consider the impact of the loading posture of the coiled steel on the loading accuracy; they do not consider the impact of vibration and impact or structural loosening during transportation on the coiled steel support, thus resulting in poor support efficiency of the coiled steel support. Summary of the Invention

[0006] To address this, the present invention provides a modular support configuration device for coiled steel supports, which overcomes the problems of poor support efficiency of existing technologies due to the failure to consider the influence of the coiled steel loading space posture on loading accuracy and the failure to consider the influence of vibration and impact or structural loosening during transportation on the coiled steel support.

[0007] To achieve the above objectives, the present invention provides a modular support configuration device for a coiled steel support, comprising: The support module, which consists of several support units and a placement structure, is installed inside the container to support and secure the coiled steel. The data acquisition module, which is connected to the support module, includes a pressure acquisition unit installed on the support unit to collect the contact pressure between the coiled steel and the support module, and an impact intensity acquisition unit installed on the container to detect the external mechanical impact during the transportation of the coiled steel. The pressure acquisition unit collects data at a preset monitoring frequency. The data processing module, which is connected to the data acquisition module, includes a first data processing unit for determining the axial attitude deviation of the coil, a second data processing unit for determining the stable characterization value of the coil, a third data processing unit for determining the peak impact strength of the container, and a fourth data processing unit for determining the proportion of time the deviation exceeds the standard. The loading detection module, which is connected to the data processing module, is used to determine whether the loading of the coil meets the preset standard based on the axial posture deviation of the coil. The transportation detection module, which is connected to the data processing module, is used to determine whether the support of the support module meets the preset standard based on the stability characterization value of the coiled steel. The cause determination module is connected to the data processing module and the transportation detection module respectively, and is used to determine the reason why the support module does not meet the preset standard based on the peak impact strength of the container. The early warning module is connected to both the transportation detection module and the cause determination module to execute the corresponding early warning response strategy.

[0008] Furthermore, the cylindrical outer surface of the coiled steel used to contact and support it includes a plurality of right-angled triangular prism blocks symmetrically arranged on the long side of the rectangular placement frame. The right-angled surfaces of the blocks are mounted on the placement frame, and the inclined surfaces of the blocks face upward and are arranged opposite each other. The oppositely arranged inclined surfaces and the placement frame together form a trapezoidal support area.

[0009] Furthermore, the loading detection module determines whether the loading of the coiled steel meets a preset standard based on the axial posture deviation of the coiled steel. If the axis attitude deviation is less than the first preset axis attitude deviation, it is determined that the loading of the coiled steel meets the preset standard. If the axis attitude deviation is greater than or equal to the first preset axis attitude deviation and less than the second preset axis attitude deviation, it is determined that the loading of the coiled steel does not meet the preset standard, and the reason is determined to be the overall positional offset of the support unit. If the axis attitude deviation is greater than or equal to the second preset axis attitude deviation, it is determined that the loading of the coiled steel does not meet the preset standard, and the reason is determined to be the self-inclination of the coiled steel on the support unit.

[0010] Further, the first data processing unit is used to determine the axial attitude deviation of the coiled steel. The first data processing unit is used to inversely calculate the actual spatial axis of the coiled steel based on the pressure distribution on the symmetrically arranged inclined surface of the support unit, and to determine the axial attitude deviation of the coiled steel by comparing the actual spatial axis with the standard axis. The axial attitude deviation of the coiled steel is determined by the lateral offset of the actual axis in the horizontal plane and the tilt angle in the vertical plane relative to the standard axis.

[0011] Furthermore, the transport detection module determines whether the support of the support module meets a preset standard based on the stability characteristic value of the coiled steel. If the stable characterization value is less than the first preset stable characterization value, then the support of the support module is determined to meet the preset standard. If the stable characterization value is greater than or equal to the first preset stable characterization value and less than the second preset stable characterization value, it is determined that the support of the support module is at risk of not meeting the preset standard, and the support of the support module is further determined based on the proportion of the offset of the coil steel exceeding the standard. If the stable characterization value is greater than or equal to the second preset stable characterization value, it is determined that the support of the support module does not meet the preset standard. The cause determination module determines the reason why the support of the support module does not meet the preset standard based on the peak impact strength of the container.

[0012] Further, the second data processing unit is used to determine the stationary characterization value, wherein the second data processing unit is used to obtain the lateral offset of the actual spatial axis of the coil relative to the standard axis in the horizontal plane within a preset time period of transporting the coil, and determine the standard deviation of all lateral offsets as the stationary characterization value.

[0013] Furthermore, the transportation detection module makes a secondary determination of whether the support of the support module meets the preset standard based on the percentage of time the coiled steel deflects beyond the standard. If the percentage of time the offset exceeds the standard is less than the preset percentage of time the offset exceeds the standard, then the support module is determined to meet the preset standard. If the percentage of time the offset exceeds the standard is greater than or equal to the preset percentage of time the offset exceeds the standard, it is determined that the support module does not meet the preset standard, and a level one warning is initiated. The percentage of time the offset exceeds the limit is the ratio of the time during which the lateral offset is greater than the preset lateral offset within the preset time period to the preset time period.

[0014] Furthermore, the cause determination module determines the reason why the support module's support does not meet the preset standard based on the peak impact strength of the container, wherein... If the peak impact intensity is less than the preset peak impact intensity, the cause of instability is determined to be the instability of the support structure itself, and a secondary warning is initiated. If the peak impact intensity is greater than or equal to the preset peak impact intensity, the cause of instability is determined to be an external impact and a level three warning is activated. The peak impact intensity is the peak vibration intensity within a preset backtracking time window before the instability triggering moment, and the instability triggering moment is the moment when the lateral offset first exceeds the preset lateral offset.

[0015] Furthermore, the early warning module is used to execute the corresponding early warning response strategy, wherein, The first-level warning is a low-risk warning, and the warning module increases the preset monitoring frequency based on the difference between the percentage of time the deviation exceeds the standard and the preset percentage of time the deviation exceeds the standard. The Level 2 warning is a medium-risk warning. The warning module issues an alert and prompts the user to stop and inspect at a safe point ahead of the current transport. The Level 3 warning is a high-risk warning. The warning module issues an emergency alarm and immediately stops the vehicle at a safe location that complies with traffic rules for inspection.

[0016] Furthermore, the early warning module has several frequency adjustment methods for increasing the preset monitoring frequency, and each frequency adjustment method increases the preset monitoring frequency by a different amount.

[0017] Compared with the prior art, the beneficial effect of the present invention is that by converting the difficult-to-measure spatial axis posture of the coiled steel into a lateral offset and tilt angle that can be accurately calculated, the present invention achieves an objective quantitative assessment of whether the loading is stable, and determines the specific defect mode of the overall offset of the support or the tilt of the coiled steel itself, thereby guiding precise correction and eliminating the initial risk caused by improper loading from the source. Secondly, during transportation, by quantitatively characterizing the intensity of instantaneous fluctuations and analyzing the continuous deterioration trend by combining the proportion of time exceeding the deviation limit, a monitoring model for the performance of the supporting structure was constructed. This model can identify everything from slight shaking to continuous instability, enabling dynamic and continuous perception and early warning of the transportation safety status. Furthermore, when severe instability is detected, by correlating the instability moment with the peak impact of the container within the retrospective time window, it can quickly and automatically distinguish whether the root cause of the failure is due to an occasional strong external impact or a gradual failure of the internal structure, and execute a graded response: for trend risks, the monitoring frequency is increased for close tracking; for cases confirmed as internal instability, planned inspections are prompted at the next safety node; for emergency situations confirmed as being caused by external impacts, immediate safe shutdown is mandated. Through the synergistic effect of accurately sensing loading posture, continuously assessing transportation stability, intelligently diagnosing the root cause of failure, and precisely executing graded responses, the traditional fuzzy operation mode relying on static hardware and human experience is transformed into a full-process, proactive safety management system based on real-time data and clear rules, thereby improving the support efficiency of the coiled steel support.

[0018] Furthermore, this invention solves the defects of poor fit and insufficient support stability of traditional simple pads and coiled steel by designing a support unit structure with a trapezoidal support area. The symmetrical arrangement of the right-angled triangular prism blocks and the relative layout of the inclined surfaces allow the trapezoidal support area formed by the rectangular surface corresponding to the inclined side and the placement frame to perfectly fit the cylindrical outer surface of the coiled steel, greatly increasing the contact area and fit, making the contact pressure distribution more uniform, and effectively suppressing the rolling and displacement tendency of the coiled steel. At the same time, the stable installation method of the right-angled surface and the rectangular placement frame improves the load-bearing strength of the support unit itself, can adapt to coiled steel of different weights, further enhances the support stability, and avoids scratches or structural deformation of the coiled steel surface caused by poor fit of traditional pads.

[0019] Furthermore, this invention sets the axis attitude deviation degree against first and second preset axis attitude deviation degree thresholds respectively, and establishes a correspondence with different technical reasons to achieve the assessment of loading quality. This transforms the subjective and vague judgment that relies entirely on human experience into an objective and accurate judgment based on quantitative data. It can not only identify loading that does not meet the standards, but also intelligently diagnose the specific root cause of the non-compliance, whether it is the overall positional offset of the support unit or the tilt of the coil itself on the support unit. This judgment result directly provides differentiated and precise adjustment guidance for subsequent operations, which may require correction of the support unit installation benchmark or adjustment of the coil placement posture, thereby improving the efficiency of coil loading operations.

[0020] Furthermore, this invention divides risk ranges by setting a first preset stable characterization value and a second preset stable characterization value. When the stable characterization value falls into the critical state of the risk range, a second judgment is made based on the proportion of time the deviation exceeds the standard. This not only focuses on the fluctuation amplitude but also further analyzes the time accumulation effect of abnormal fluctuations, effectively filtering out occasional and short-term interferences, ensuring accurate capture of real and continuous risks, and thus avoiding misjudgment.

[0021] Furthermore, this invention utilizes the characteristic that external impacts in transportation scenarios are usually discrete and instantaneous events by defining the instability trigger moment and backtracking to analyze the peak impact intensity within a preset time window. If a high-intensity impact peak is detected immediately before instability, a strong causal relationship is established and it is determined to be caused by an external impact; otherwise, it is attributed to the gradual instability of the internal structure, thereby achieving rapid judgment under engineering site conditions. Attached Figure Description

[0022] Figure 1 This is a schematic diagram of the modular support configuration device for the coiled steel bracket according to an embodiment of the present invention; Figure 2 This is a flowchart illustrating how to determine whether the loading of the coiled steel conforms to a preset standard, as described in an embodiment of the present invention. Figure 3 This is a flowchart illustrating how an embodiment of the present invention determines whether the support of the support module meets a preset standard based on the stability characteristic value of the coiled steel. Figure 4 This is a front view of the support module in an embodiment of the present invention; Figure 5 This is a perspective view of the support module in an embodiment of the present invention; Figure 6 This is an assembly diagram of the coiled steel and the support module according to an embodiment of the present invention; Figure 7 This is a schematic diagram of the support module in the flat position of the stop block according to an embodiment of the present invention; In the diagram, 1 is the placement rack; 2 is the stop block; and 3 is the coiled steel. Detailed Implementation

[0023] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0024] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0025] It should be noted that the data in this embodiment are all derived from a comprehensive analysis and evaluation of historical test data and corresponding historical test results from the three months prior to this test. Those skilled in the art will understand that the method described in this invention can determine the above-mentioned parameters in the following ways: selecting the value with the highest proportion based on the data distribution as the preset standard parameter; using weighted summation to obtain the value as the preset standard parameter; substituting each historical data point into a specific formula and using the value obtained by that formula as the preset standard parameter; or other selection methods, as long as the method described in this invention can clearly define different specific situations in the single-item judgment process through the obtained values.

[0026] Please see Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 , Figure 6 as well as Figure 7 The figures shown are: a schematic diagram of the modular support configuration device for the coiled steel bracket according to an embodiment of the present invention; a flowchart of determining whether the loading of the coiled steel meets a preset standard according to an embodiment of the present invention; a flowchart of determining whether the support of the support module meets a preset standard based on the stability characteristic value of the coiled steel according to an embodiment of the present invention; a front view of the support module according to an embodiment of the present invention; a perspective view of the support module according to an embodiment of the present invention; an assembly diagram of the coiled steel and the support module according to an embodiment of the present invention; and a structural schematic diagram of the support module in the flat position of the stop block according to an embodiment of the present invention.

[0027] The modular support configuration device for the coiled steel bracket according to an embodiment of the present invention includes: The support module, which consists of several support units and a placement frame 1, is installed inside the container to support and fix the coiled steel 3; The data acquisition module, which is connected to the support module, includes a pressure acquisition unit installed on the support unit to collect the contact pressure between the coiled steel 3 and the support module, and an impact intensity acquisition unit installed on the container to detect the external mechanical impact during the transportation of the coiled steel 3. The pressure acquisition unit collects data at a preset monitoring frequency of 100Hz. The data processing module, which is connected to the data acquisition module, includes a first data processing unit for determining the axial attitude deviation of the coil 3, a second data processing unit for determining the stable characterization value of the coil 3, a third data processing unit for determining the peak impact strength of the container, and a fourth data processing unit for determining the proportion of time the deviation exceeds the standard. The loading detection module is connected to the data processing module and is used to determine whether the loading of the coil 3 meets the preset standard based on the axial attitude deviation of the coil 3. The transportation detection module is connected to the data processing module and is used to determine whether the support of the support module meets the preset standard based on the stability characterization value of the coil steel 3. The cause determination module is connected to the data processing module and the transportation detection module respectively, and is used to determine the reason why the support module does not meet the preset standard based on the peak impact strength of the container. The early warning module is connected to both the transportation detection module and the cause determination module to execute the corresponding early warning response strategy.

[0028] It should be noted that the data in this embodiment are all results obtained through preliminary experiments before this test using the method described in this invention. Each preset value can be adjusted according to the specific application, as long as the method described in this invention can clearly define different specific situations in the single-item judgment process through the acquired values. The preset values ​​set in this embodiment are all obtained from preliminary experiments, including the correction coefficients, which were also selected through experimental verification.

[0029] Specifically, there are no restrictions on the specific structure of the data processing module, loading detection module, transportation detection module, cause determination module, and early warning module. Each module and its units can be composed of logic components, including field-programmable components, computers, or microprocessors in computers.

[0030] Specifically, the pressure acquisition unit is a pressure sensor array laid on the inclined surface of each of the right-angled triangular prism blocks 2; the impact strength acquisition unit is a triaxial acceleration sensor installed on the chassis frame of the vehicle transporting the coiled steel 3.

[0031] Specifically, please refer to Figure 4 and Figure 5 As shown, the support unit, which is used to contact and support the cylindrical outer surface of the coiled steel 3, includes a plurality of blocks 2 symmetrically arranged on the long side of the rectangular placement frame 1. The right-angled surfaces of the blocks 2 are mounted on the placement frame 1, and the inclined surfaces of the blocks 2 face upward and are arranged opposite each other. The oppositely arranged inclined surfaces and the placement frame 1 together form a trapezoidal support area.

[0032] Specifically, the loading detection module determines whether the loading of the coiled steel 3 meets a preset standard based on the axial posture deviation of the coiled steel 3. If the axis attitude deviation is less than the first preset axis attitude deviation of 0.7, then the loading of the coiled steel 3 is determined to meet the preset standard. If the axis attitude deviation is greater than or equal to the first preset axis attitude deviation and less than the second preset axis attitude deviation of 1.2, it is determined that the loading of the coil steel 3 does not meet the preset standard, and the reason is determined to be the overall positional offset of the support unit. If the axis attitude deviation is greater than or equal to the second preset axis attitude deviation, it is determined that the loading of the coiled steel 3 does not meet the preset standard, and the reason is determined to be the self-inclination of the coiled steel 3 on the support unit.

[0033] Specifically, the first preset axis attitude deviation ranges from [0.4, 0.9], and the second preset axis attitude deviation ranges from [1.0, 1.5]. Preferably, the first preset axis attitude deviation is 0.7 and the second preset axis attitude deviation is 1.2.

[0034] Specifically, please refer to Figure 6 As shown, the primary condition for stable support of coil 3 is that coil 3 maintains a horizontal axis and is symmetrically aligned with the support base within the trapezoidal support area formed by the support unit. The axis attitude deviation, which combines the horizontal lateral offset and the vertical tilt angle, is the most direct and complete composite parameter for quantifying whether the spatial attitude of coil 3 is aligned correctly. A first preset axis attitude deviation is set to define an excellent loading tolerance range; a larger second preset axis attitude deviation is set to distinguish the main contributing sources of deviation. When the deviation is between the two, it usually means that the coil axis is basically parallel but offset overall, mainly due to inaccurate installation and positioning of the support unit; when the deviation exceeds the second threshold, it indicates a significant tilt angle, mainly due to the incorrect attitude of coil 3 on the support surface, providing a clear direction for adjustment operations.

[0035] Specifically, please refer to Figure 7 As shown, when the coiled steel 3 is not supported, the stop block 2 is placed flat inside the frame of the placement rack 1.

[0036] Specifically, the first data processing unit is used to determine the axial orientation deviation of the coiled steel 3, wherein, The precise position of each pressure sensor in the pressure acquisition unit, based on the rectangular mounting bracket 1 of its supporting unit, has been determined and stored in a three-dimensional coordinate system. When the pressure acquisition unit is working, it directly reads the pre-stored three-dimensional coordinates of each sensor unit according to its identifier, and binds the real-time acquired pressure value to these coordinates, thereby automatically generating a set of three-dimensional contact points corresponding to the left and right inclined planes. Each point contains spatial coordinates and pressure value information. Since coil 3 is a cylinder, its ideal contact shape with the inclined plane is a straight line. The three-dimensional contact point sets of the left and right inclined planes are analyzed separately. Using the least squares method, the spatial straight line that best represents the distribution trend of each inclined plane's discrete contact point is extracted. These lines are denoted as the left actual contact line and the right actual contact line, respectively, and their spatial equations are obtained. The coiled steel cylinder is simultaneously tangent to both the left and right inclined planes. The radius of the coiled steel 3 (in this embodiment, the coiled steel diameter is 1200mm and the radius is 600mm), the actual left contact line, the actual right contact line, and the equations of the fixed planes of the left and right inclined planes determined by the structural dimensions of the support unit are known input conditions. By establishing and solving a set of equations describing the geometric constraint relationship of the cylinder being tangent to the two given planes, with the tangency points passing through two given straight lines, the spatial position and direction parameters of the current coiled steel axis can be inversely solved and output. The parameters of the ideal steel coil axis are pre-stored (the ideal axis represents the theoretical state when the support unit is perfectly aligned and the steel coil 3 is placed horizontally, and its parameters are determined by the reference dimensions of the placement frame 1 and the support unit). The actual axis and the ideal axis are projected onto the horizontal plane respectively. In the horizontal plane, the vertical distance between these two projection lines is calculated. This vertical distance is the lateral offset of the actual axis relative to the ideal axis in the horizontal plane. In the vertical plane along the length of the placement frame 1, measure the angle between the projection line of the actual axis and the horizontal line, which is the tilt angle of the actual axis in the vertical plane. The axial attitude deviation of the coil 3 is calculated using the following formula: ; In the formula, D represents the horizontal offset of the actual axis relative to the ideal axis in the horizontal plane; X0 represents the preset horizontal offset, set to X0=10mm; α represents the first weighting coefficient, set to α=0.4; Δθ represents the tilt angle of the actual axis in the vertical plane; θ0 represents the preset tilt angle, set to θ0=8°; β represents the second weighting coefficient, set to β=0.6.

[0037] Specifically, the transport detection module determines whether the support of the support module meets the preset standard based on the stability characteristic value of the coiled steel 3. If the stable characterization value is less than the first preset stable characterization value by 2mm, then the support of the support module is determined to meet the preset standard. If the stable characterization value is greater than or equal to the first preset stable characterization value and less than the second preset stable characterization value by 8mm, it is determined that the support of the support module is at risk of not meeting the preset standard, and the support of the support module is further determined based on the proportion of the offset of the coil 3 exceeding the standard. If the stable characterization value is greater than or equal to the second preset stable characterization value, it is determined that the support of the support module does not meet the preset standard. The cause determination module determines the reason why the support of the support module does not meet the preset standard based on the peak impact strength of the container.

[0038] Specifically, the range of the first preset stable characterization value is [1mm, 5mm], and the range of the second preset stable characterization value is [7mm, 11mm]. Preferably, the first preset stable characterization value is 2mm and the second preset stable characterization value is 8mm.

[0039] Specifically, the stability characterization value represents the degree of stability of the support of the coiled steel during transportation. The smaller the stability characterization value, the smaller the lateral offset fluctuation and the more stable the support; the larger the stability characterization value, the more violent the fluctuation and the less stable the support.

[0040] Specifically, when the stable characteristic value is less than the first preset stable characteristic value, it indicates that the lateral offset fluctuation is minimal and the support device is in a controlled and stable state, which can be directly judged as meeting the standard. When the stable characteristic value is between the first preset stable characteristic value and the second preset stable characteristic value, it indicates that the fluctuation has exceeded the ideal baseline and entered the warning range. At this time, a secondary judgment based on the proportion of the offset exceeding the standard is initiated, which can effectively distinguish whether it is a continuous deterioration trend or a short-term occasional disturbance, thereby avoiding misjudgment and achieving accurate early warning. When the stable characteristic value is greater than or equal to the second preset stable characteristic value, it indicates that the fluctuation has exceeded the safe allowable range and the support has clearly become unstable. Root cause diagnosis will be initiated immediately. By correlating the impact intensity peak value, it can quickly distinguish whether the failure is caused by external impact or internal structural failure, thereby providing a precise decision-making basis for subsequent differentiated emergency responses (planned inspection or immediate shutdown).

[0041] Specifically, the second data processing unit is used to determine the stationary characterization value, wherein the second data processing unit is used to acquire the lateral offset of the actual spatial axis of the coil 3 relative to the standard axis in the horizontal plane at 10Hz within a preset time of 2 minutes for transporting the coil 3, and to determine the standard deviation of all lateral offsets as the stationary characterization value.

[0042] Specifically, the transportation detection module makes a secondary determination of whether the support of the support module meets the preset standard based on the percentage of time the offset of the coiled steel 3 exceeds the standard. If the percentage of time the offset exceeds the standard is less than 0.35% of the preset percentage of time the offset exceeds the standard, then the support module is determined to meet the preset standard. If the percentage of time the offset exceeds the standard is greater than or equal to the preset percentage of time the offset exceeds the standard, it is determined that the support module does not meet the preset standard, and a level one warning is initiated. The percentage of time the offset exceeds the limit is the ratio of the time during which the lateral offset is greater than the preset lateral offset by 10 mm within a preset duration of 2 minutes to the preset duration.

[0043] Specifically, the percentage of time the deviation exceeds the limit characterizes the duration of time during which the lateral deviation of coil 3 is in a clearly abnormal state (i.e., greater than a preset threshold, such as 10mm). It is a key indicator for assessing the support's ability to maintain a steady state from a time perspective. Even if the fluctuation amplitude (stable characterization value) does not reach a severe level, if the deviation exceeds the limit continuously, it indicates that the support performance is deteriorating or has already deteriorated significantly. The preset percentage of time the deviation exceeds the limit needs to strike a balance between avoiding false alarms and ensuring timely warnings. Its specific value can be adjusted by those skilled in the art based on the sensitivity requirements for detecting the risk of support instability during transportation. The higher the sensitivity requirement for early risk warning, the smaller the value of this preset percentage should be. In this embodiment, the preset percentage of time the deviation exceeds the limit is set to 0.35.

[0044] Specifically, the cause determination module determines the reason why the support module's support does not meet the preset standard based on the peak impact strength of the container, wherein... If the peak impact intensity is less than the preset peak impact intensity of 4g, the cause of instability is determined to be the instability of the support structure itself, and a secondary warning is initiated. If the peak impact intensity is greater than or equal to the preset peak impact intensity, the cause of instability is determined to be an external impact and a level three warning is activated. The peak impact intensity is the peak vibration intensity within a preset backtracking time window of 3 seconds before the instability trigger moment, and the instability trigger moment is the moment when the lateral offset first exceeds the preset lateral offset of 10mm.

[0045] Specifically, based on the moment when observable instability occurs in coil 3, a preset time window (e.g., 3 seconds) is traced back to capture instantaneous external impact events that may directly lead to instability; a key impact intensity threshold (e.g., 5g) is set. If no impact reaching this threshold is detected within the traceback window, it indicates that instability occurred in a relatively stable driving environment, and the root cause should be attributed to progressive failures such as loosening or fatigue of the supporting structure itself. Therefore, a level two warning for recommended planned inspection is initiated. Conversely, if a strong impact exceeding this threshold is detected, it indicates that instability is very likely directly caused by a high-energy external event (e.g., severe jolt) sufficient to cause structural overload or cargo bouncing. A level three warning requiring immediate shutdown and inspection must be initiated.

[0046] Specifically, the peak impact intensity is used to distinguish between instability caused by the supporting structure itself and instability caused by external impact. In this embodiment, the preset peak impact intensity value is 4g (g is the acceleration due to gravity). In practical applications, it can be adjusted according to the suspension stiffness of different vehicle models, historical road condition data of different transportation routes, and the special value or sensitivity of the transported coil steel 3. For example, for vehicles traveling on known poor road conditions, the threshold can be appropriately increased to avoid frequent over-warnings; for tasks transporting extremely high-value goods, the threshold can be appropriately decreased to adopt a more conservative safety strategy. Such adjustments are routine operations for those skilled in the art based on the principles of this invention.

[0047] Specifically, the early warning module is used to execute the corresponding early warning response strategy, wherein, The first-level warning is a low-risk warning, and the warning module increases the preset monitoring frequency based on the difference between the percentage of time the deviation exceeds the standard and the preset percentage of time the deviation exceeds the standard. The Level 2 warning is a medium-risk warning. The warning module issues an alert and prompts the user to stop and inspect at a safe point ahead of the current transport. The Level 3 warning is a high-risk warning. The warning module issues an emergency alarm and immediately stops the vehicle at a safe location that complies with traffic rules for inspection.

[0048] Specifically, the early warning module has several frequency adjustment methods for adjusting the preset monitoring frequency, among which, If the deviation exceeds the standard difference less than the first preset deviation exceeds the standard difference of 0.11, then the preset monitoring frequency is increased to the corresponding value using the first adjustment coefficient of 1.06; If the deviation exceeds the standard deviation value, which is greater than or equal to the first preset deviation exceeds the standard deviation value and less than the second preset deviation exceeds the standard deviation value of 0.26, then the preset monitoring frequency is increased to the corresponding value using the second adjustment coefficient of 1.09. If the deviation exceeds the standard difference value, it is greater than or equal to the second preset deviation exceeds the standard difference value. Then, the preset monitoring frequency is increased to the corresponding value using the third adjustment coefficient of 1.12. The deviation exceeding the standard is the difference between the percentage of deviation exceeding the standard duration and the preset percentage of deviation exceeding the standard duration.

[0049] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A modular support configuration device for a rolled steel bracket, characterized in that, include: The support module, which consists of several support units and a placement structure, is installed inside the container to support and secure the coiled steel. The data acquisition module, which is connected to the support module, includes a pressure acquisition unit installed on the support unit to collect the contact pressure between the coiled steel and the support module, and an impact intensity acquisition unit installed on the container to detect the external mechanical impact during the transportation of the coiled steel. The pressure acquisition unit collects data at a preset monitoring frequency. The data processing module, which is connected to the data acquisition module, includes a first data processing unit for determining the axial attitude deviation of the coil, a second data processing unit for determining the stable characterization value of the coil, a third data processing unit for determining the peak impact strength of the container, and a fourth data processing unit for determining the proportion of time the deviation exceeds the standard. The loading detection module, which is connected to the data processing module, is used to determine whether the loading of the coil meets the preset standard based on the axial posture deviation of the coil. The transportation detection module, which is connected to the data processing module, is used to determine whether the support of the support module meets the preset standard based on the stability characterization value of the coiled steel. The cause determination module is connected to the data processing module and the transportation detection module respectively, and is used to determine the reason why the support module does not meet the preset standard based on the peak impact strength of the container. The early warning module is connected to both the transportation detection module and the cause determination module to execute the corresponding early warning response strategy.

2. The modular support configuration device for the coiled steel bracket according to claim 1, characterized in that, The support unit, which is used to contact and support the cylindrical outer surface of the coiled steel, includes a plurality of right-angled triangular prism blocks symmetrically arranged on the long side of a rectangular placement frame. The right-angled surfaces of the blocks are mounted on the placement frame, and the inclined surfaces of the blocks face upward and are arranged opposite each other. The oppositely arranged inclined surfaces and the placement frame together form a trapezoidal support area.

3. The modular support configuration device for the coiled steel bracket according to claim 2, characterized in that, The loading detection module determines whether the loading of the coiled steel meets the preset standard based on the axial posture deviation of the coiled steel. If the axis attitude deviation is less than the first preset axis attitude deviation, it is determined that the loading of the coiled steel meets the preset standard. If the axis attitude deviation is greater than or equal to the first preset axis attitude deviation and less than the second preset axis attitude deviation, it is determined that the loading of the coiled steel does not meet the preset standard, and the reason is determined to be the overall positional offset of the support unit. If the axis attitude deviation is greater than or equal to the second preset axis attitude deviation, it is determined that the loading of the coiled steel does not meet the preset standard, and the reason is determined to be the self-inclination of the coiled steel on the support unit.

4. The modular support configuration device for the coiled steel bracket according to claim 3, characterized in that, The first data processing unit is used to determine the axial attitude deviation of the coiled steel. The first data processing unit is used to inversely calculate the actual spatial axis of the coiled steel based on the pressure distribution on the symmetrically arranged inclined surface of the support unit, and to determine the axial attitude deviation of the coiled steel by comparing the actual spatial axis with the standard axis. The axial attitude deviation of the coiled steel is determined by the lateral offset of the actual axis in the horizontal plane and the tilt angle in the vertical plane relative to the standard axis.

5. The modular support configuration device for the coiled steel bracket according to claim 4, characterized in that, The transport detection module determines whether the support of the support module meets the preset standard based on the stability characteristic value of the coiled steel. If the stable characterization value is less than the first preset stable characterization value, then the support of the support module is determined to meet the preset standard. If the stable characterization value is greater than or equal to the first preset stable characterization value and less than the second preset stable characterization value, it is determined that the support of the support module is at risk of not meeting the preset standard, and the support of the support module is further determined based on the proportion of the offset of the coil steel exceeding the standard. If the stable characterization value is greater than or equal to the second preset stable characterization value, it is determined that the support of the support module does not meet the preset standard. The cause determination module determines the reason why the support of the support module does not meet the preset standard based on the peak impact strength of the container.

6. The modular support configuration device for the coiled steel bracket according to claim 5, characterized in that, The second data processing unit is used to determine the stationary characterization value, wherein the second data processing unit is used to obtain the lateral offset of the actual spatial axis of the coil relative to the standard axis in the horizontal plane within a preset time period of transporting the coil, and to determine the standard deviation of all lateral offsets as the stationary characterization value.

7. The modular support configuration device for the coiled steel bracket according to claim 6, characterized in that, The transportation detection module makes a secondary determination of whether the support module meets the preset standard based on the percentage of time the coiled steel deflects beyond the standard. If the percentage of time the offset exceeds the standard is less than the preset percentage of time the offset exceeds the standard, then the support module is determined to meet the preset standard. If the percentage of time the offset exceeds the standard is greater than or equal to the preset percentage of time the offset exceeds the standard, it is determined that the support module does not meet the preset standard, and a level one warning is initiated. The percentage of time the offset exceeds the limit is the ratio of the time during which the lateral offset is greater than the preset lateral offset within the preset time period to the preset time period.

8. The modular support configuration device for the coiled steel bracket according to claim 7, characterized in that, The cause determination module determines the reason why the support module's support does not meet the preset standard based on the peak impact strength of the container. If the peak impact intensity is less than the preset peak impact intensity, the cause of instability is determined to be the instability of the support structure itself, and a secondary warning is initiated. If the peak impact intensity is greater than or equal to the preset peak impact intensity, the cause of instability is determined to be an external impact and a level three warning is activated. The peak impact intensity is the peak vibration intensity within a preset backtracking time window before the instability triggering moment, and the instability triggering moment is the moment when the lateral offset first exceeds the preset lateral offset.

9. The modular support configuration device for the coiled steel bracket according to claim 8, characterized in that, The early warning module is used to execute the corresponding early warning response strategy, wherein, The first-level warning is a low-risk warning, and the warning module increases the preset monitoring frequency based on the difference between the percentage of time the deviation exceeds the standard and the preset percentage of time the deviation exceeds the standard. The Level 2 warning is a medium-risk warning. The warning module issues an alert and prompts the user to stop and inspect at a safe point ahead of the current transport. The Level 3 warning is a high-risk warning. The warning module issues an emergency alarm and immediately stops the vehicle at a safe location that complies with traffic rules for inspection.

10. The modular support configuration device for the coiled steel bracket according to claim 9, characterized in that, The early warning module has several frequency adjustment methods for increasing the preset monitoring frequency, and each frequency adjustment method increases the preset monitoring frequency by a different amount.

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