Method and device for modifying halogen-free low-smoke flame-retardant cable heat release test data

Abstract

This application relates to the field of cable technology, and particularly to a method for correcting heat release test data of halogen-free, low-smoke, flame-retardant cables. The method includes: acquiring original heat release data and the diameter parameters of the binding wires of the halogen-free, low-smoke, flame-retardant cable; obtaining the binding strength index based on the diameter parameters of the binding wires; subsequently obtaining the equivalent porosity of the halogen-free, low-smoke, flame-retardant cable based on the binding strength index; obtaining the oxygen diffusion coefficient based on the equivalent porosity; substituting the oxygen diffusion coefficient into a combustion rate model to obtain a combustion correction factor; and finally adjusting the peak heat release rate, peak time, and total heat release amount according to the combustion correction factor to obtain accurate final corrected data. This method provides a unified physical benchmark for test data under different binding conditions, improving the scientific rigor and comparability of the data.

Description

Technical Field

[0001] This application belongs to the field of cable technology, and in particular relates to a method and equipment for correcting heat release test data of halogen-free low-smoke flame-retardant cables. Background Technology

[0002] In actual testing, even loosely bound cable bundles may exhibit problems such as excessive gaps, creating a noticeable chimney effect when exposed to fire. This leads to increased flame spread, a significantly higher heat release rate and total heat release, and increased smoke production, resulting in higher test data or even failing to meet standards. Conversely, tightly bound cable bundles effectively inhibit expansion and unraveling, reducing combustion intensity and stabilizing heat release and smoke production data. For the same cable product, differences in binding method and tightness can cause significant variations in key indicators such as heat release rate, total heat release, and flame spread height, severely impacting the accuracy, repeatability, and comparability of test results.

[0003] Currently, traditional heat release test data processing methods only directly use the raw data collected by the equipment, without considering the physical effects of binding and restraint, such as changes in porosity, differences in oxygen diffusion, and changes in combustion rate. This results in variations in test results introduced by binding tightness, which is not a characteristic of the material itself. Due to differences in binding tightness between different operators and different test batches, the heat release data of the same cable product lacks a unified binding state benchmark, resulting in poor comparability. This increases the R&D and testing costs for enterprises and makes it difficult to meet the requirements for high-precision and standardized combustion performance evaluation. Summary of the Invention

[0004] This application provides a method and equipment for correcting heat release test data of halogen-free low-smoke flame-retardant cables. It can solve the problem that test results are difficult to compare and unify due to different standards and different laboratories, which increases the R&D and testing costs of enterprises and makes it difficult to meet the requirements of high-precision and standardized combustion performance evaluation.

[0005] In a first aspect, embodiments of this application provide a method for correcting heat release test data of halogen-free, low-smoke, flame-retardant cables, including: Obtain the raw heat release data of the bundled combustion test of the halogen-free low-smoke flame-retardant cable, as well as the diameter parameters of the halogen-free low-smoke flame-retardant cable after binding with metal wires; wherein, the raw heat release data includes the peak heat release rate, the time to reach the peak, and the total heat release. The binding strength index is obtained based on the diameter parameter of the binding wire of the halogen-free low-smoke flame-retardant cable; wherein, the binding strength index is a quantitative parameter characterizing the tightness of the binding of the metal wire to the halogen-free low-smoke flame-retardant cable. The equivalent porosity of the halogen-free low-smoke flame-retardant cable is obtained based on the binding strength index. The oxygen diffusion coefficient is obtained based on the equivalent porosity of the halogen-free low-smoke flame-retardant cable. Substituting the oxygen diffusion coefficient into the combustion rate model yields the combustion correction factor; wherein, the combustion correction factor represents the quantitative influence coefficient of the binding strength on the cable combustion rate; The peak heat release rate, the time to reach the peak, and the total heat release are adjusted according to the combustion correction factor to obtain the final corrected data.

[0006] The technical solutions described in this application embodiment have at least the following technical effects: The method for correcting heat release test data of halogen-free low-smoke flame-retardant cables provided in this application embodiment obtains the original heat release data of the bundled combustion test of halogen-free low-smoke flame-retardant cables, as well as the diameter parameters of the halogen-free low-smoke flame-retardant cables after binding with metal wires. The original heat release data includes the peak heat release rate, time to peak, and total heat release. Based on the diameter parameters of the halogen-free low-smoke flame-retardant cables after binding with metal wires, a binding strength index is obtained. The binding strength index is a quantitative parameter characterizing the tightness of the binding of the metal wires on the halogen-free low-smoke flame-retardant cables. Based on the binding strength index, the equivalent porosity of the halogen-free low-smoke flame-retardant cables is obtained. Based on the equivalent porosity of the halogen-free low-smoke flame-retardant cables, the oxygen diffusion coefficient is obtained. The oxygen diffusion coefficient is substituted into the combustion rate model to obtain a combustion correction factor. The combustion correction factor represents the quantitative influence coefficient of the binding strength on the cable combustion rate. The peak heat release rate, time to peak, and total heat release are adjusted according to the combustion correction factor to obtain the final corrected data. This application ensures the comprehensiveness and accuracy of the basic data required for correction by obtaining the original heat release data of the bundled combustion test of halogen-free low-smoke flame-retardant cable and the diameter parameters of the binding wires of the halogen-free low-smoke flame-retardant cable. Then, based on the diameter parameters of the binding wires, the binding strength index is obtained to quantitatively characterize the tightness of the binding of the metal wires on the halogen-free low-smoke flame-retardant cable. Subsequently, the equivalent porosity of the halogen-free low-smoke flame-retardant cable is obtained based on the binding strength index, clarifying the relationship between the binding strength index and the internal pore structure of the cable, and solving the problem that porosity cannot be accurately calculated in conjunction with the actual binding strength index. Based on the equivalent porosity, the oxygen diffusion coefficient is obtained to establish a quantitative relationship between the pore structure and the oxygen supply required for combustion. The oxygen diffusion coefficient is substituted into the combustion rate model to obtain the combustion correction factor, quantifying the influence of binding strength on the cable combustion rate. Finally, the peak heat release rate, peak time, and total heat release are adjusted according to the combustion correction factor to obtain accurate final correction data. The above method transforms the originally difficult-to-quantify operational variable of wire binding tightness into a calculable binding strength index. Based on this index, the heat release data is systematically corrected, so that the corrected data can reflect the actual combustion behavior of the cable under specific binding conditions. This provides a unified physical benchmark for test data under different binding conditions, improving the scientific nature and comparability of the data.

[0007] Secondly, embodiments of this application provide a device for correcting heat release test data of halogen-free, low-smoke, flame-retardant cables, applied to electronic devices, for implementing the heat release test data correction method for halogen-free, low-smoke, flame-retardant cables as described in any one of the first aspects above. The device for correcting heat release test data of halogen-free, low-smoke, flame-retardant cables includes: The acquisition unit is used to acquire the raw heat release data of the bundled combustion test of the halogen-free low-smoke flame-retardant cable, as well as the diameter parameters of the halogen-free low-smoke flame-retardant cable after binding with metal wires; wherein, the raw heat release data includes the peak heat release rate, the time to reach the peak, and the total heat release amount. The binding unit is used to obtain the binding strength index based on the diameter parameter of the metal wire after binding the halogen-free low-smoke flame-retardant cable; wherein the binding strength index is a quantitative parameter characterizing the tightness of the binding of the metal wire to the halogen-free low-smoke flame-retardant cable. Pore ​​unit, used to obtain the equivalent porosity of the halogen-free low-smoke flame-retardant cable based on the binding strength index; A diffusion unit is used to obtain the oxygen diffusion coefficient based on the equivalent porosity of the halogen-free low-smoke flame-retardant cable. A coefficient unit is used to substitute the oxygen diffusion coefficient into the combustion rate model to obtain a combustion correction factor; wherein, the combustion correction factor represents the quantitative influence coefficient of the binding strength on the cable combustion rate; The correction unit is used to adjust the peak heat release rate, the time to reach the peak, and the total heat release according to the combustion correction factor to obtain the final corrected data.

[0008] Thirdly, embodiments of this application provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method as described in any of the first aspects above.

[0009] Fourthly, embodiments of this application provide a computer program product that, when run on an electronic device, causes the electronic device to perform the method described in any one of the first aspects above.

[0010] It is understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 This is a flowchart illustrating a method for correcting heat release test data of halogen-free, low-smoke, flame-retardant cables according to an embodiment of this application. Figure 2This is a schematic diagram of the operation of a method for correcting heat release test data of halogen-free low-smoke flame-retardant cables provided in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of the halogen-free low-smoke flame-retardant cable heat release test data correction device provided in the embodiments of this application; Figure 4 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0013] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0014] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0015] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0016] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0017] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0018] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0019] In related technologies, during actual testing, even loosely bound cable bundles may exhibit problems such as excessive gaps. When exposed to fire, this can create a significant chimney effect, leading to intensified flame spread, a significant increase in heat release rate and total heat release, and increased smoke production, resulting in inflated or even unacceptable test data. Conversely, tightly bound cable bundles with metal wire can effectively suppress bundle expansion and reduce combustion intensity, resulting in more stable heat release and smoke production data. For the same cable product, differences in binding method and tightness can cause significant variations in key indicators such as heat release rate, total heat release, and flame spread height, severely impacting the authenticity, repeatability, and comparability of test results. Traditional heat release test data processing methods directly utilize raw data collected by the equipment, failing to consider physical effects such as porosity changes, oxygen diffusion differences, and alterations in combustion rate caused by binding constraints. This results in variations introduced by binding tightness—a characteristic not inherent to the material itself—influencing the test results. The difference in binding tightness between different operators and different test batches makes it difficult to have a unified binding state benchmark for the heat release data of the same cable product, resulting in poor comparability. This increases the R&D and testing costs for enterprises and makes it difficult to meet the requirements of high-precision and standardized combustion performance evaluation.

[0020] To address the aforementioned issues, this application provides a method for correcting heat release test data of halogen-free, low-smoke, flame-retardant cables. This method includes: acquiring the original heat release data of a bundled combustion test of the halogen-free, low-smoke, flame-retardant cable, and the diameter parameters of the cable after binding with metal wires; wherein the original heat release data includes the peak heat release rate, time to peak, and total heat release; obtaining a binding strength index based on the diameter parameters of the binding metal wires; wherein the binding strength index is a quantitative parameter characterizing the tightness of the binding of the metal wires to the halogen-free, low-smoke, flame-retardant cable; obtaining the equivalent porosity of the halogen-free, low-smoke, flame-retardant cable based on the binding strength index; obtaining the oxygen diffusion coefficient based on the equivalent porosity of the halogen-free, low-smoke, flame-retardant cable; substituting the oxygen diffusion coefficient into a combustion rate model to obtain a combustion correction factor; wherein the combustion correction factor represents the quantitative influence coefficient of binding strength on the cable's combustion rate; and adjusting the peak heat release rate, time to peak, and total heat release based on the combustion correction factor to obtain the final corrected data. This application ensures the comprehensiveness and accuracy of the basic data required for correction by obtaining the original heat release data of the bundled combustion test of halogen-free low-smoke flame-retardant cable and the diameter parameters of the binding wires of the halogen-free low-smoke flame-retardant cable. Then, based on the diameter parameters of the binding wires, the binding strength index is obtained to quantitatively characterize the tightness of the binding of the metal wires on the halogen-free low-smoke flame-retardant cable. Subsequently, the equivalent porosity of the halogen-free low-smoke flame-retardant cable is obtained based on the binding strength index, clarifying the relationship between the binding strength index and the internal pore structure of the cable, and solving the problem that porosity cannot be accurately calculated in conjunction with the actual binding strength index. Based on the equivalent porosity, the oxygen diffusion coefficient is obtained to establish a quantitative relationship between the pore structure and the oxygen supply required for combustion. The oxygen diffusion coefficient is substituted into the combustion rate model to obtain the combustion correction factor, quantifying the influence of binding strength on the cable combustion rate. Finally, the peak heat release rate, peak time, and total heat release are adjusted according to the combustion correction factor to obtain accurate final correction data. The above method transforms the originally difficult-to-quantify operational variable of wire binding tightness into a calculable binding strength index. Based on this index, the heat release data is systematically corrected, so that the corrected data can reflect the actual combustion behavior of the cable under specific binding conditions. This provides a unified physical benchmark for test data under different binding conditions, improving the scientific nature and comparability of the data.

[0021] The method for correcting heat release test data of halogen-free, low-smoke, flame-retardant cables provided in this application embodiment can be applied to electronic devices. In this case, the electronic device is the executing subject of the method for correcting heat release test data of halogen-free, low-smoke, flame-retardant cables provided in this application embodiment. This application embodiment does not impose any restrictions on the specific type of electronic device.

[0022] For example, electronic devices can be cloud servers, cloud hosts, commercial desktop computers, laptops, e-commerce-specific smart terminals, tablet computers, etc. Electronic devices include memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements a method as described above.

[0023] To better understand the method for correcting heat release test data of halogen-free, low-smoke, flame-retardant cables provided in this application, the specific implementation process of the method for correcting heat release test data of halogen-free, low-smoke, flame-retardant cables provided in this application will be described below by way of example.

[0024] Figure 1 A flowchart illustrating the method for correcting heat release test data of halogen-free low-smoke flame-retardant cables provided in an embodiment of this application is shown. Figure 2 This illustration shows a schematic diagram of the operation of the heat release test data correction method for halogen-free, low-smoke, flame-retardant cables provided in an embodiment of this application. The heat release test data correction method for halogen-free, low-smoke, flame-retardant cables includes: S100: Obtain the raw heat release data of the bundled combustion test of halogen-free low-smoke flame-retardant cables, as well as the diameter parameters of the binding wires of the halogen-free low-smoke flame-retardant cables. The raw heat release data includes the peak heat release rate, the time to reach the peak, and the total heat release.

[0025] It is understandable that the original heat release data refers to the core data related to heat release directly collected by the combustion test instrument when the halogen-free low-smoke flame-retardant cable is bundled without any restraint correction: the peak heat release rate refers to the maximum amount of heat released by the cable bundle per unit time during the test, usually in kW. For example, in the combustion test of a bundled YJV-3×10+1×6 halogen-free low-smoke flame-retardant cable of a certain specification, the original peak heat release rate is 85kW; the time to reach the peak refers to the time taken from the start of the test ignition to the heat release rate reaching the above peak, usually in seconds. For example, in the above cable test, the time to reach the peak is 280s; the total heat release amount refers to the total heat released by the cable bundle during the entire test, usually in MJ. For example, in the above cable test, the total heat release amount is 42MJ. The diameter parameter after binding with metal wire refers to the maximum outer diameter of the cable bundle cross-section after the cable is bundled and bound with metal wire of specified specifications (such as stainless steel wire with a diameter of 1.2mm) according to the test requirements (such as binding once every 500mm). The unit is usually mm. For example, the diameter parameter of the above-mentioned cable bundle after binding is 82mm.

[0026] S200 is the binding strength index, obtained based on the diameter parameters of the binding wires of the halogen-free low-smoke flame-retardant cable. The binding strength index is a quantitative parameter characterizing the tightness of the binding of the metal wires to the halogen-free low-smoke flame-retardant cable.

[0027] The binding strength index is a dimensionless parameter, typically ranging from 0 to 1. A value closer to 1 indicates a tighter binding of the cable bundle by the wires, while a value closer to 0 indicates a looser binding. For example, a binding strength index of 0.64 indicates a relatively tight binding of the cable bundle, with significant compression, while an index of 0.2 indicates a looser binding and minimal compression. The binding strength index quantifies the difference in wire tightness, avoiding experimental errors caused by inconsistent manual binding tightness, and providing a consistent quantitative basis for subsequent combustion data correction.

[0028] As an optional embodiment of this application, in step S200, the binding strength index is obtained based on the diameter parameters of the metal wires used to bind the halogen-free low-smoke flame-retardant cable, including: S210, Obtain the reference diameter of the halogen-free, low-smoke, flame-retardant cable in its unconstrained state. The reference diameter represents the cable's original structural outer diameter under no binding, compression, or external force.

[0029] It is understandable that the reference diameter is the maximum outer diameter of the cross-section formed by the cable bundle in a natural, loose state, without being bound by metal wires or subjected to any external compression, relying solely on its own structural stacking. The unit is mm. The core of the reference diameter is to reflect the original structural dimensions of the cable bundle, without including any compression deformation caused by external constraints. For example, the reference diameter of the YJV-3×10+1×6 halogen-free low-smoke flame-retardant cable mentioned above, when the 5 cables are bundled together and naturally and loosely stacked, is 95 mm. The reference diameter is determined only by the outer diameter of the cable itself and the way it is bundled and stacked, without any external force interference.

[0030] It should be noted that when the reference diameter in an unconstrained state cannot be obtained, the theoretical outer diameter or historical average value of the cable of this specification can be used as an approximation of the reference diameter, and this application does not limit this.

[0031] S220, calculate the diameter difference between the reference diameter and the diameter parameter after binding the metal wire.

[0032] It is understandable that the diameter difference is a value obtained by subtracting the diameter parameter after binding from the reference diameter, and the unit is mm. The size of the diameter difference directly reflects the degree of compression of the cable bundle by the metal wire binding - the larger the difference, the more obvious the compression and the tighter the binding; the smaller the difference, the less the compression and the looser the binding. For example, if the reference diameter of the cable is 95mm and the diameter parameter after binding is 82mm, then the diameter difference = 95mm - 82mm = 13mm. The diameter difference directly reflects the compression effect of the metal wire binding on the cable bundle.

[0033] S230, the diameter difference is normalized to obtain the binding strength index of the metal wire used to bind the halogen-free low-smoke flame-retardant cable.

[0034] It is understandable that normalization is the process of converting the diameter difference into a dimensionless parameter (i.e., the binding strength index) between 0 and 1. The purpose is to eliminate the dimensional differences between cables of different specifications (different reference diameters, different diameter differences), so that the binding strength index has universality and facilitates the comparison of the binding degree of different cable samples. For example, the diameter difference of the above cables is 13mm. After normalization, the binding strength index is 0.64. The binding strength index can be directly used for subsequent calculation of equivalent porosity and can be compared laterally with the binding strength index of cables of other specifications.

[0035] In one possible implementation, S230, the diameter difference is normalized to obtain the binding strength index of the halogen-free low-smoke flame-retardant cable binding wires, including: S231, based on multiple sets of historical test data, uses an adaptive dynamic threshold algorithm to determine the maximum reference diameter difference of the current sample.

[0036] It can be understood that multiple sets of historical test data refer to multiple sets of "reference diameter - diameter after binding" data collected during tests conducted with the same cable specifications (same model, same cross-section, same number of bundles) and using the same specification of metal wire for binding, under different binding tightness. The adaptive dynamic threshold algorithm is an algorithm that can automatically adjust the calculation threshold according to the distribution characteristics of historical data, which can avoid the error caused by a fixed threshold. The maximum reference diameter difference refers to the difference between the reference diameter and the diameter after binding (i.e., the diameter difference when the cable bundle is compressed to the limit) of the current specification cable under the maximum compression degree that can be achieved by metal wire binding, and the unit is mm. For example, for the YJV-3×10+1×6 cable mentioned above, 10 sets of historical test data were collected, among which the largest diameter difference was 20mm. After correction by the adaptive dynamic threshold algorithm, the maximum reference diameter difference of the current sample was determined to be 19.8mm. The maximum reference diameter difference provides a unified reference benchmark for subsequent normalization.

[0037] S232, calculate the ratio of the diameter difference to the maximum reference diameter difference to determine the dimensionless normalized value.

[0038] It can be understood that the dimensionless normalized value is the ratio of the diameter difference to the maximum reference diameter difference. It has no unit and ranges from 0 to 1. The dimensionless normalized value directly reflects the proportion of the current degree of compression to the maximum degree of compression under the current binding condition. For example, if the diameter difference of the above cable is 13mm and the maximum reference diameter difference is 19.8mm, then the dimensionless normalized value = 13mm ÷ 19.8mm ≈ 0.657. The dimensionless normalized value initially quantifies the current degree of binding, but does not consider the numerical fluctuation under extreme conditions.

[0039] S233, by using a constraint function to smooth and limit the dimensionless normalized value, a stable binding strength index is obtained.

[0040] As can be understood, constraint functions are used to limit fluctuations in dimensionless normalized values ​​and avoid extreme values ​​(such as normalized values ​​greater than 1 or less than 0 due to measurement errors). Common constraint functions include the Sigmoid function and linear limiting functions. The role of constraint functions is to smooth the normalized value, ensuring that the output restraint strength exponent remains stable within a reasonable range of 0 to 1. For example, using the Sigmoid constraint function to process the aforementioned dimensionless normalized value of 0.657, the constraint function expression is: Where: I is the restraint strength index; x is the input dimensionless normalized value; k1 is the preset smoothing constraint coefficient. Example verification: The original dimensionless normalized value x = 0.657 is taken, and the calibrated preset smoothing constraint coefficient k1 = 0.8757 is substituted. The binding strength index was 0.64. The binding strength index eliminates the fluctuations caused by measurement errors, making it more stable and accurate.

[0041] By employing the steps S231 to S233 described above, it is helpful to: solve the error problem caused by single fixed threshold normalization; the adaptive dynamic threshold algorithm can dynamically adjust the maximum reference diameter difference based on historical data, adapt to cable samples under different test conditions, and improve the accuracy of normalization processing; at the same time, the smoothing and limiting effect of the constraint function can eliminate numerical fluctuations caused by factors such as measurement errors and uneven binding, and improve the stability and reliability of the binding strength index.

[0042] By adopting the above steps S210 to S230, it is helpful to: transform the vague qualitative description of the "tightness" of the metal wire binding into a quantifiable and comparable binding strength index, solving the problem that the influence of binding tightness on combustion performance cannot be quantified in traditional tests; by calculating the difference between the reference diameter and the diameter after binding, combined with normalization processing, the size difference of cables of different specifications is eliminated, making the binding strength index universal and applicable to bundled tests of halogen-free low-smoke flame-retardant cables of different models and cross-sections, improving the scientificity and comparability of test data.

[0043] S300, based on the binding strength index, yields the equivalent porosity of the halogen-free low-smoke flame-retardant cable.

[0044] As can be understood, equivalent porosity refers to the ratio of the volume of voids inside the halogen-free, low-smoke, flame-retardant cable bundle to the total volume of the cable bundle, considering the binding effect of the metal wires. It has no unit and its value is usually between 0 and 1. Equivalent porosity is used to reflect the looseness inside the cable bundle. The larger the equivalent porosity, the more voids inside the cable bundle, and the easier it is for oxygen to diffuse; the smaller the equivalent porosity, the fewer voids inside, and the more difficult it is for oxygen to diffuse. For example, when the binding strength index of the cable bundle is 0.64, the calculated equivalent porosity is 0.3873, indicating that the volume of voids inside the cable bundle accounts for 38.73% of the total volume. Equivalent porosity directly affects the ability of oxygen to diffuse inside the cable bundle, and thus affects the combustion rate of the cable.

[0045] As an optional embodiment of this application, S300, based on the binding strength index, obtains the equivalent porosity of the halogen-free low-smoke flame-retardant cable, including: S310, determine the reference porosity in the unconstrained state based on the cable bundling and stacking method.

[0046] It can be understood that the cable bundling stacking method refers to the natural stacking method of the cable bundle in an unrestrained state. Common methods include loose stacking and tight stacking (without external force). The internal void volume of the cable bundle is different under different stacking methods. Unrestrained reference porosity refers to the ratio of the internal void volume to the total volume of the cable bundle in a naturally stacked state without any binding or restraint. It has no unit and is the basic reference for calculating the equivalent porosity. For example, for the YJV-3×10+1×6 cable mentioned above, when 5 cables are bundled together and naturally loosely stacked, the unrestrained reference porosity is 0.48. The unrestrained reference porosity is determined by the outer diameter of the cable itself, the number of bundles, and the stacking method, reflecting the original looseness of the cable bundle.

[0047] S320, based on the binding strength index and the pre-calibrated binding strength coefficient, yields the porosity correction. The binding strength coefficient represents the change in porosity caused by a unit change in the binding strength index. The porosity correction represents the reduction in cable bundle porosity due to wire binding.

[0048] It is understandable that the pre-calibrated binding strength coefficient is a constant determined through multiple sets of calibration tests, with a unit of 1 (dimensionless). The value of the binding strength coefficient is determined by factors such as cable material, bundling method, and wire specifications. For example, for the aforementioned cable and the 1.2mm stainless steel wire used, through 10 sets of calibration tests, the binding strength coefficient was determined to be 0.25, meaning that for every 0.1 increase in the binding strength index, the porosity of the cable bundle will decrease by 0.025. The porosity correction amount refers to the reduction in the porosity of the cable bundle compared to the unbound state due to the squeezing effect of the wire binding. It has no unit, and the magnitude of the porosity correction amount is positively correlated with the binding strength index. The larger the binding strength index, the larger the porosity correction amount, and the more significant the reduction in porosity. For example, if the binding strength index of the aforementioned cable is 0.64 and the binding strength coefficient is 0.25, then the porosity correction amount = 0.64 × 0.25 = 0.16, indicating that the wire binding causes a reduction of 0.16 in the porosity of the cable bundle.

[0049] The calibration of the binding strength coefficient (k_b) and the pore convergence coefficient (λ) can be performed as follows: Take at least 30 cables from the same batch, first measure the reference porosity (ε_0) in the unbound state, then bind them with different torques (e.g., 0.5 N·m, 0.8 N·m, 1.1 N·m, 1.4 N·m, 1.7 N·m, 2.0 N·m, six levels) and measure the binding strength index (I_s) and actual equivalent porosity (ε_actual) of each sample. Substitute multiple sets of (I_s, ε_actual) data into the nonlinear pore decay model ε_actual=ε_0-(k_b·I_s·λ) / (1+I_s), and use least squares regression to fit and obtain k_b and λ. Taking a YJV-3×10+1×6 cable of a certain specification as an example, the calibration obtained by the above method is k_b=0.25, λ=0.95, and the reference porosity ε_0=0.48.

[0050] In one possible implementation, S320, based on the binding strength index and a pre-calibrated binding strength coefficient, obtains the porosity correction amount, including: S321, the binding strength exponent, binding strength coefficient, and pore convergence coefficient are input into the nonlinear pore decay model to obtain the porosity correction. The pore convergence coefficient characterizes the convergence property that porosity no longer decreases linearly under high binding strength.

[0051] It is understandable that the nonlinear porosity decay model is a mathematical model used to describe the nonlinear relationship between the binding strength exponent and the porosity correction. This model addresses the problem that, under high binding strength (e.g., when the binding strength exponent is close to 1), the porosity of the cable bundle cannot decrease indefinitely and tends to stabilize. The porosity convergence coefficient is a constant determined in advance through calibration experiments, with a unit of 1 (dimensionless), and a value typically ranging from 0.8 to 1.2. It characterizes the characteristic that porosity tends to converge with increasing binding strength. For example, for the aforementioned cable, the porosity convergence coefficient is determined... The value is 0.95. For example, if the binding strength index of 0.64, the binding strength coefficient of 0.25, and the porosity convergence coefficient of 0.95 are input into the nonlinear porosity decay model (such as the nonlinear porosity decay model: porosity correction = binding strength coefficient × binding strength index × porosity convergence coefficient / (1 + binding strength index)), the calculated porosity correction is 0.0927. The porosity correction is closer to the actual experimental situation than the linear calculation result because when the binding strength reaches a certain level, the internal void of the cable bundle is difficult to continue to decrease, and the porosity correction will tend to level off.

[0052] The calibration of the binding strength coefficient and the porosity convergence coefficient can be achieved through... By adopting the above step S321, it is helpful to: solve the problem that traditional linear calculation of porosity correction cannot take into account the porosity convergence characteristics under high binding strength, and avoid the deviation of correction caused by linear assumptions; the nonlinear porosity decay model combined with the porosity convergence coefficient can accurately simulate the porosity variation law under different binding strengths, especially the convergence characteristics under high binding strength, so that the calculation of porosity correction is more in line with the actual experimental scenario, and further improve the accuracy of equivalent porosity.

[0053] S330, by subtracting the porosity correction from the baseline porosity, yields the equivalent porosity of the halogen-free, low-smoke, flame-retardant cable.

[0054] It is understandable that the calculation logic of equivalent porosity is "porosity in the unbound state minus the reduction in porosity caused by binding and compression". The result of equivalent porosity directly reflects the actual looseness inside the cable bundle after binding and restraint. For example, if the unbound baseline porosity of the above cable is 0.48 and the porosity correction is 0.0927, then the equivalent porosity = 0.48 - 0.0927 = 0.3873. The equivalent porosity accurately reflects the void ratio inside the cable bundle after the metal wire is bound, providing a core parameter for the subsequent calculation of the oxygen diffusion coefficient.

[0055] By adopting the above steps S310 to S330, it is helpful to: correlate the binding strength index with the equivalent porosity of the cable bundle, realize the quantitative correction of porosity, and solve the problem of ignoring the influence of metal wire binding on the porosity of the cable bundle in traditional tests; through the determination of the unbound reference porosity and the accurate calculation of the porosity correction amount, the final equivalent porosity can truly reflect the internal structure of the cable bundle under the binding state, and improve the authenticity and accuracy of the test data.

[0056] S400 is the oxygen diffusion coefficient obtained based on the equivalent porosity of halogen-free low-smoke flame-retardant cables.

[0057] As can be understood, the oxygen diffusion coefficient refers to the rate at which oxygen diffuses within the voids of a cable bundle, typically measured in m² / s. The oxygen diffusion coefficient is positively correlated with the equivalent porosity; that is, the higher the equivalent porosity, the smoother the oxygen diffusion, and the larger the diffusion coefficient. Conversely, the lower the equivalent porosity, the more hindered the oxygen diffusion, and the smaller the diffusion coefficient. The oxygen diffusion coefficient is a key parameter affecting the cable's combustion rate because combustion requires oxygen, and the oxygen diffusion rate directly determines the intensity of the cable's combustion. For example, the equivalent porosity of the cable mentioned above is 0.3873, and the calculated oxygen diffusion coefficient is 9.4 × 10⁻⁻⁻⁶. 6 m² / s, the oxygen diffusion coefficient reflects the ability of oxygen to diffuse within the cable bundle under its current binding condition.

[0058] As an optional embodiment of this application, S400, based on the equivalent porosity of the halogen-free low-smoke flame-retardant cable, obtains the oxygen diffusion coefficient, including: S410 is the free-space oxygen diffusion coefficient of air. The free-space oxygen diffusion coefficient represents the natural diffusion capacity of oxygen in the air under unobstructed conditions.

[0059] It is understandable that the free-space oxygen diffusion coefficient is a known physical constant. The value of the free-space oxygen diffusion coefficient is related to ambient temperature and air pressure. Under standard experimental conditions (temperature 25℃, air pressure 101.3 kPa), the free-space oxygen diffusion coefficient of air is approximately 2.1 × 10⁻⁻⁻⁶. 5 m² / s; the free-space oxygen diffusion coefficient characterizes the natural diffusion rate of oxygen in the air when there are no obstacles. It is a benchmark reference value for calculating the oxygen diffusion coefficient inside the cable bundle. For example, under the standard environment of this test, the free-space oxygen diffusion coefficient obtained is 2.1 × 10⁻ 5 m² / s.

[0060] S420, obtain the empirical index determined in advance through calibration tests. The empirical index represents the nonlinear relationship between equivalent porosity and oxygen diffusion coefficient.

[0061] It is understandable that the empirical index is a constant obtained by fitting multiple sets of calibration tests (measuring the oxygen diffusion coefficient under different equivalent porosities). It is dimensionless and its value ranges from 0.5 to 1.5. The magnitude of the empirical index is determined by factors such as the stacking characteristics of the cable bundle and the surface roughness of the cable. It is used to characterize the nonlinear relationship between the equivalent porosity and the oxygen diffusion coefficient. The larger the empirical index, the more sensitive the oxygen diffusion coefficient is to changes in the equivalent porosity. For example, for the YJV-3×10+1×6 cable bundle test mentioned above, the empirical index was determined to be 0.85 by fitting 8 sets of calibration tests. The empirical index reflects the degree of influence of the equivalent porosity of this type of cable bundle on the oxygen diffusion coefficient.

[0062] The empirical index can be determined as follows: Prepare at least five specimens with different binding strengths, measure their equivalent porosity (ε) and oxygen diffusion coefficient (D_O2), and obtain m using the double logarithmic linear fitting formula lnD_O2=lnD_air+m×lnε, where D_air is the free space oxygen diffusion coefficient (2.1×10⁻⁻¹). 5 m² / s), resulting in m=0.85.

[0063] S430, the oxygen diffusion coefficient is calculated based on the equivalent porosity, the free space oxygen diffusion coefficient, and the empirical index.

[0064] The core logic for calculating the oxygen diffusion coefficient is as follows: using the free-space oxygen diffusion coefficient as a benchmark, combined with the equivalent porosity and empirical exponent, the actual oxygen diffusion coefficient inside the cable bundle is obtained. The formula for calculating the oxygen diffusion coefficient is: Oxygen diffusion coefficient = Free-space oxygen diffusion coefficient × (Equivalent porosity) ^ Empirical exponent; for example, the free-space oxygen diffusion coefficient is 2.1 × 10⁻ 5 Substituting the values ​​of m² / s, equivalent porosity of 0.3873, and empirical index of 0.85 into the formula, the oxygen diffusion coefficient is calculated to be 2.1 × 10⁻⁻⁻⁶. 5 ×(0.3873)^0.85≈2.1×10⁻ 5 ×0.3877≈9.4×10⁻ 6 m² / s, the oxygen diffusion coefficient accurately reflects the actual diffusion rate of oxygen inside the cable bundle under the current binding condition.

[0065] By adopting the above steps S410 to S430, it is helpful to: achieve accurate calculation of the oxygen diffusion coefficient, solve the error problem caused by directly using the free space oxygen diffusion coefficient and ignoring the influence of cable bundle porosity in traditional tests; the introduction of empirical index can accurately fit the nonlinear relationship between equivalent porosity and oxygen diffusion coefficient, making the calculated oxygen diffusion coefficient more in line with the actual test scenario, accurately reflecting the hindering effect of binding on oxygen diffusion, and improving the accuracy of combustion data correction.

[0066] S500, by substituting the oxygen diffusion coefficient into the combustion rate model, yields the combustion correction factor. The combustion correction factor represents the quantitative influence coefficient of the binding strength on the cable combustion rate.

[0067] The combustion rate model is a mathematical model used to describe the relationship between the oxygen diffusion coefficient and the combustion rate of a cable. It quantifies the impact of oxygen diffusion rate on the combustion rate based on the mechanism of oxygen participation in combustion. The combustion correction factor is a dimensionless parameter, typically ranging from 0 to 2. When the combustion correction factor is greater than 1, it indicates that the binding effect accelerates the combustion rate (higher porosity, sufficient oxygen); when the combustion correction factor is less than 1, it indicates that the binding effect slows down the combustion rate (lower porosity, insufficient oxygen). For example, the oxygen diffusion coefficient of the aforementioned cable is 9.4 × 10⁻⁻⁻⁶. 6 Substituting m² / s into the combustion rate model, the combustion correction factor is 0.5343, indicating that the metal wire binding slows down the cable combustion rate, and the original heat release data needs to be corrected accordingly.

[0068] As an optional embodiment of this application, in S500, the oxygen diffusion coefficient is substituted into the combustion rate model to obtain a combustion correction factor, including: S510, by substituting the free space oxygen diffusion coefficient into the combustion rate model, obtains the reference combustion rate.

[0069] As can be understood, the reference combustion rate refers to the combustion rate of a cable bundle under ideal conditions where there are no constraints and oxygen can diffuse freely (i.e., using the free-space oxygen diffusion coefficient). The unit is usually kg / (m²·s). The purpose of the reference combustion rate is to serve as a benchmark for subsequent calculations, comparing the actual combustion rate with that under ideal conditions. For example, the free-space oxygen diffusion coefficient is 2.1 × 10⁻⁻⁻⁶. 5 Substituting m² / s into the combustion rate model (e.g., combustion rate model: combustion rate = k² × oxygen diffusion coefficient, where k² is a proportionality constant, and k² can be equal to 5), we obtain a reference combustion rate of 1.05 × 10⁻⁻⁻⁶. 4 kg / (m²·s).

[0070] S520, by substituting the oxygen diffusion coefficient into the same combustion rate model, yields the actual combustion rate.

[0071] It can be understood that the actual combustion rate refers to the actual combustion rate of the cable bundle under the current wire binding condition (i.e., using the calculated oxygen diffusion coefficient), with units consistent with the reference combustion rate. The magnitude of the actual combustion rate directly reflects the influence of binding constraints on the combustion rate; for example, the calculated oxygen diffusion coefficient is 9.4 × 10⁻ 6Substituting m² / s into the same combustion rate model, we get the actual combustion rate = k² × 9.4 × 10⁻ 6 =0.47×10⁻ 4 kg / (m²·s), the difference between the actual combustion rate and the reference combustion rate, directly reflects the inhibitory effect of the binding force on the combustion rate.

[0072] S530 derives a combustion correction factor based on the actual combustion rate, reference combustion rate, and sensitivity index. The sensitivity index represents the degree to which changes in the oxygen diffusion coefficient affect the combustion rate.

[0073] It is understandable that the sensitivity index is a constant determined in advance through calibration tests. It is dimensionless and typically ranges from 0.8 to 1.2. The higher the sensitivity index value, the more significant the impact of changes in the oxygen diffusion coefficient on the combustion rate. For example, in the cable test mentioned above, the sensitivity index was determined to be 1.0. The sensitivity index reflects that for every 10% change in the oxygen diffusion coefficient, the combustion rate changes by approximately 10%. The core of the combustion correction factor is to quantify the difference between the actual combustion rate and the reference combustion rate, thereby characterizing the degree of influence of the binding strength on the combustion rate. For example, combined with the actual combustion rate of 0.47 × 10⁻ 4 kg / (m²·s), reference combustion rate 1.05×10⁻ 4 The combustion correction factor can be calculated using kg / (m²·s) and a sensitivity index of 1.0.

[0074] The sensitivity index can be determined by measuring the reference combustion rate (R_ref) in free space and the actual combustion rate (R_actual) and oxygen diffusion coefficient (D_O2) under multiple bound conditions. The data points (R_actual / R_ref, D_O2 / D_air) are then subjected to a double logarithmic linear fit: ln(R_actual / R_ref) = n·ln(D_O2 / D_air), and the slope is n. All measurements in the above calibration must be repeated at least three times and the average value taken. The goodness of fit (R²) should be no less than 0.95, resulting in n = 1.0.

[0075] In one possible implementation, S530 derives a combustion correction factor based on the actual combustion rate, the reference combustion rate, and the sensitivity index, including: S531, calculate the ratio of the actual combustion rate to the reference combustion rate.

[0076] As can be understood, the rate ratio is a dimensionless value obtained by dividing the actual combustion rate by the reference combustion rate. The rate ratio directly reflects the proportional relationship between the actual combustion rate and the combustion rate under ideal conditions. If the ratio is greater than 1, it indicates that the actual combustion rate is faster than the ideal rate; if the ratio is less than 1, it indicates that the actual combustion rate is slower than the ideal rate. For example, the actual combustion rate of the aforementioned cable is 0.47 × 10⁻⁻⁻⁶. 4 kg / (m²·s), with a reference combustion rate of 1.05×10⁻ 4 If the velocity is kg / (m²·s), then the rate ratio = 0.47 × 10⁻ 4 ÷1.05×10⁻ 4 ≈0.4476, the rate ratio directly reflects the degree to which the binding effect inhibits the combustion rate.

[0077] S532, the rate ratio is given by a nonlinear power operation with the sensitivity index as the power to obtain the basic coefficient of combustion rate.

[0078] It is understandable that the purpose of nonlinear exponentiation is to introduce a sensitivity index to correct the rate ratio, so that the calculation results are more consistent with the nonlinear relationship between oxygen diffusion and combustion rate in the actual combustion process. The basic combustion rate coefficient is a dimensionless value after exponentiation, and the magnitude of the basic combustion rate coefficient combines the influence of the rate ratio and the sensitivity index. For example, substituting the rate ratio of 0.4476 and the sensitivity index of 1.0 into the exponentiation (basic coefficient = rate ratio ^ sensitivity index), we get the basic combustion rate coefficient = 0.4^1.0 = 0.4476.

[0079] S533, based on the equivalent porosity, performs porosity compensation correction on the basic coefficient of combustion rate to obtain the combustion correction factor.

[0080] It is understandable that porosity compensation correction is to eliminate the additional influence of equivalent porosity on the combustion rate. In addition to the oxygen diffusion coefficient, equivalent porosity also affects the heat transfer of the cable bundle, thus affecting the combustion rate. Therefore, compensation correction is needed to make the combustion correction factor more accurate. The correction method usually involves introducing a compensation coefficient of equivalent porosity. For example, the compensation formula is: Combustion correction factor = Basic combustion rate coefficient × (1 + Equivalent porosity × Compensation coefficient), where the compensation coefficient is pre-calibrated to 0.5. The equivalent porosity of the above cable is 0.3873, and the basic combustion rate coefficient is 0.4476. Then the combustion correction factor = 0.4476 × (1 + 0.3873 × 0.5) = 0.4476 × 1.164 ≈ 0.5343. The combustion correction factor accurately quantifies the comprehensive influence of binding strength on the combustion rate.

[0081] By employing the steps S531 to S533 described above, it is possible to: achieve accurate calculation of the combustion correction factor, and solve the correction deviation caused by neglecting the additional influence of sensitivity index and equivalent porosity in traditional correction methods; the rate ratio intuitively reflects the difference between the actual and ideal combustion rate; the power operation introduces the sensitivity index; the compensation correction considers the additional influence of equivalent porosity; and the multi-step synergistic effect enables the combustion correction factor to comprehensively and accurately characterize the quantitative influence of binding strength on combustion rate.

[0082] By employing the steps S510 to S530 described above, it is possible to: correlate the oxygen diffusion coefficient with the combustion rate, quantify the influence of binding strength on the combustion rate, and solve the problem that the influence of binding on combustion performance cannot be quantified in traditional tests; by comparing the reference combustion rate with the actual combustion rate and combining the correction of the sensitivity index, the obtained combustion correction factor has a clear physical meaning and can be directly used to correct the original heat release data, making the corrected combustion data more consistent with the combustion state of cables in actual engineering scenarios, and improving the practicality and reliability of the test data.

[0083] S600 adjusts the peak heat release rate, peak time, and total heat release based on the combustion correction factor to obtain the final corrected data.

[0084] Understandably, the final corrected data is the core data that truly reflects the bundled combustion performance of halogen-free, low-smoke, flame-retardant cables under the binding and restraint state of metal wires. The final corrected data is obtained by specifically adjusting the original heat release data through a combustion correction factor, eliminating the test error caused by the binding effect. For example, the combustion correction factor of the above cable is 0.5343, the peak heat release rate is 85kW, the time to reach the peak is 280s, and the total heat release is 42MJ. The final corrected data obtained after adjustment can accurately reflect the actual combustion performance of the cable under the binding state, providing a precise basis for evaluating the flame-retardant performance of the cable.

[0085] As an optional embodiment of this application, in S600, the peak heat release rate, the time to reach the peak, and the total heat release are adjusted according to the combustion correction factor to obtain the final corrected data, including: S610, multiply the peak heat release rate by the combustion correction factor to obtain the corrected peak heat release rate in the final corrected data.

[0086] It is understandable that the peak heat release rate is experimental data under unrestrained conditions, without considering the influence of wire binding. Since the combustion correction factor quantifies the effect of binding on the combustion rate, and the peak heat release rate is positively correlated with the combustion rate (the faster the combustion rate, the more heat is released per unit time, and the greater the peak heat release rate), the corrected peak heat release rate that closely matches the actual binding condition can be obtained by "peak heat release rate × correction factor". For example, if the peak heat release rate of the above cable is 85kW and the combustion correction factor is 0.5343, then the corrected peak heat release rate = 85 × 0.5343 = 45.4155kW. The corrected peak heat release rate accurately reflects the maximum heat released per unit time when the cable bundle burns under the current binding condition.

[0087] S620 divides the time to peak by the combustion correction factor to obtain the corrected time to peak in the final corrected data.

[0088] It is understandable that the time to reach peak heat release rate is negatively correlated with the combustion rate (the faster the combustion rate, the shorter the time required to reach the peak heat release rate; the slower the combustion rate, the longer the time required). The time to reach peak heat release rate is a value under unconstrained conditions. Constraints will change the combustion rate, and thus change the time to reach peak heat release rate. Therefore, the corrected time to reach peak heat release rate under constrained conditions can be obtained by dividing the time to reach peak heat release rate by the correction factor. For example, if the peak heat release rate of the above cable is 280s and the combustion correction factor is 0.5343, then the corrected time to reach peak heat release rate is approximately 280 ÷ 0.5343 ≈ 524.05s. The corrected time to reach peak heat release rate indicates that the time required for the cable bundle to reach the peak heat release rate is significantly prolonged because the metal wire binding inhibits the combustion rate.

[0089] S630, multiply the total heat release by the combustion correction factor to obtain the corrected total heat release in the final corrected data.

[0090] It can be understood that the total heat release is the total heat released by the cable bundle throughout the entire test. The total heat release is positively correlated with the combustion rate (the slower the combustion rate, the less heat is released per unit time, and the less the total heat is throughout the entire process). The total heat release in the original heat release data does not take into account the influence of binding and restraint. Therefore, the corrected total heat release under the actual binding state can be obtained by multiplying the total heat release by the correction factor. For example, if the total heat release of the above cable is 42 MJ and the combustion correction factor is 0.5343, then the corrected total heat release = 42 × 0.5343 = 22.4406 MJ. The corrected total heat release accurately reflects the total heat released by the cable bundle during the entire combustion process under the current binding state.

[0091] By adopting the above steps S610 to S630, it is helpful to: achieve accurate correction of the original heat release data, solve the problem that the influence of metal wire binding is ignored in traditional combustion tests, resulting in test data that does not match the actual engineering scenario; and for the three core heat release parameters of peak heat release rate, time to peak, and total heat release, combined with their correlation with combustion rate, adopt targeted adjustment methods so that the corrected final data can truly and accurately reflect the combustion performance of the cable under the metal wire binding state, providing scientific and reliable data support for the flame retardant rating evaluation and engineering application selection of halogen-free low-smoke flame-retardant cables, while improving the repeatability and comparability of test data.

[0092] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0093] Corresponding to the method for correcting heat release test data of halogen-free low-smoke flame-retardant cables described in the above embodiments, this application also provides a device for correcting heat release test data of halogen-free low-smoke flame-retardant cables. Each unit of this device can realize each step of the method for correcting heat release test data of halogen-free low-smoke flame-retardant cables. Figure 3 A structural block diagram of the halogen-free low-smoke flame-retardant cable heat release test data correction device provided in an embodiment of this application is shown. For ease of explanation, only the parts related to the embodiment of this application are shown.

[0094] Reference Figure 3 The device includes: The acquisition unit is used to acquire the raw heat release data of the bundled combustion test of halogen-free low-smoke flame-retardant cables, as well as the diameter parameters of the binding wires of the halogen-free low-smoke flame-retardant cables. The raw heat release data includes the peak heat release rate, the time to reach the peak, and the total heat release.

[0095] The binding unit is used to obtain the binding strength index based on the diameter parameters of the binding wires of the halogen-free low-smoke flame-retardant cable. The binding strength index is a quantitative parameter characterizing the tightness of the binding of the metal wires to the halogen-free low-smoke flame-retardant cable.

[0096] Pore ​​element, used to obtain the equivalent porosity of halogen-free low-smoke flame-retardant cables based on the binding strength index.

[0097] A diffusion unit is used to obtain the oxygen diffusion coefficient based on the equivalent porosity of halogen-free, low-smoke, flame-retardant cables.

[0098] The coefficient unit is used to substitute the oxygen diffusion coefficient into the combustion rate model to obtain the combustion correction factor. The combustion correction factor represents the quantitative influence coefficient of the binding strength on the cable combustion rate.

[0099] The correction unit is used to adjust the peak heat release rate, peak time, and total heat release according to the combustion correction factor to obtain the final corrected data.

[0100] It should be noted that the information interaction and execution process between the above-mentioned units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, which will not be repeated here.

[0101] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units is used as an example. In practical applications, the above functions can be assigned to different functional units as needed, that is, the internal structure of the device can be divided into different functional units to complete all or part of the functions described above. The functional units in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units in the above device can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0102] This application also provides an electronic device. Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 4 As shown, the electronic device 6 of this embodiment includes: at least one processor 60 ( Figure 4 Only one is shown in the image), at least one memory 61 ( Figure 4 (Only one is shown in the image) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60, wherein when the processor 60 executes the computer program 62, it causes the electronic device 6 to perform the steps in any of the above embodiments of the method for correcting heat release test data of halogen-free low-smoke flame-retardant cables, or causes the electronic device 6 to perform the functions of the units in the above embodiments of the apparatus.

[0103] For example, the computer program 62 may be divided into one or more units, which are stored in the memory 61 and executed by the processor 60 to complete this application. The one or more units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program 62 in the electronic device 6.

[0104] The electronic device 6 may be a cloud server, cloud host, commercial desktop computer, laptop computer, e-commerce dedicated smart terminal, tablet computer, etc. The electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the method as described in any of the foregoing aspects. The electronic device 6 may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art will understand that... Figure 4 This is merely an example of electronic device 6 and does not constitute a limitation on electronic device 6. It may include more or fewer components than shown, or combine certain components, or different components, such as input / output devices, network access devices, buses, etc.

[0105] The processor 60 can be a Central Processing Unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0106] In some embodiments, the memory 61 may be an internal storage unit of the electronic device 6, such as a hard disk or memory of the electronic device 6. In other embodiments, the memory 61 may be an external storage device of the electronic device 6, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the electronic device 6. Furthermore, the memory 61 may include both internal and external storage units of the electronic device 6. The memory 61 is used to store the operating system, applications, bootloader, data, and other programs, such as the program code of the computer program. The memory 61 can also be used to temporarily store data that has been output or will be output.

[0107] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in any of the above method embodiments.

[0108] This application provides a computer program product that, when run on an electronic device, causes the electronic device to perform the steps in any of the above method embodiments.

[0109] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or system capable of carrying computer program code to an electronic device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks.

[0110] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0111] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0112] In the embodiments provided in this application, it should be understood that the disclosed method, device, and electronic equipment for correcting heat release test data of halogen-free, low-smoke, and flame-retardant cables can be implemented in other ways. For example, the embodiments of the halogen-free, low-smoke, and flame-retardant cable heat release test data correction device and electronic equipment described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units may be electrical, mechanical, or other forms.

[0113] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0114] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for correcting heat release test data of halogen-free low-smoke flame-retardant cables, characterized in that, include: Obtain the raw heat release data of the bundled combustion test of the halogen-free low-smoke flame-retardant cable, as well as the diameter parameters of the halogen-free low-smoke flame-retardant cable after binding with metal wires; wherein, the raw heat release data includes the peak heat release rate, the time to reach the peak, and the total heat release. The binding strength index is obtained based on the diameter parameter of the binding wire of the halogen-free low-smoke flame-retardant cable; wherein, the binding strength index is a quantitative parameter characterizing the tightness of the binding of the metal wire to the halogen-free low-smoke flame-retardant cable. The equivalent porosity of the halogen-free low-smoke flame-retardant cable is obtained based on the binding strength index. The oxygen diffusion coefficient is obtained based on the equivalent porosity of the halogen-free low-smoke flame-retardant cable. Substituting the oxygen diffusion coefficient into the combustion rate model yields the combustion correction factor; wherein, the combustion correction factor represents the quantitative influence coefficient of the binding strength on the cable combustion rate; The peak heat release rate, the time to reach the peak, and the total heat release are adjusted according to the combustion correction factor to obtain the final corrected data.

2. The method for correcting heat release test data of halogen-free low-smoke flame-retardant cables according to claim 1, characterized in that, The process of obtaining the binding strength index based on the diameter parameters of the binding wires of the halogen-free low-smoke flame-retardant cable includes: Obtain the reference diameter of the halogen-free low-smoke flame-retardant cable in an unconstrained state; wherein, the reference diameter represents the outer diameter of the cable's original structure without any binding, squeezing, or external compression; Calculate the diameter difference between the reference diameter and the diameter parameter after binding the metal wire; The diameter difference is normalized to obtain the binding strength index of the halogen-free low-smoke flame-retardant cable after binding the metal wire.

3. The method for correcting heat release test data of halogen-free low-smoke flame-retardant cables according to claim 2, characterized in that, The process of normalizing the diameter difference to obtain the binding strength index of the halogen-free low-smoke flame-retardant cable after binding the metal wires includes: Based on multiple sets of historical test data, an adaptive dynamic threshold algorithm is used to determine the maximum reference diameter difference of the current sample. The dimensionless normalized value is determined by calculating the ratio between the diameter difference and the maximum reference diameter difference. By smoothing and limiting the dimensionless normalized value using a constraint function, a stable binding strength index is obtained.

4. The method for correcting heat release test data of halogen-free low-smoke flame-retardant cables according to claim 1, characterized in that, The process of obtaining the equivalent porosity of the halogen-free low-smoke flame-retardant cable based on the binding strength index includes: The reference porosity in the unconstrained state is determined based on the cable bundling and stacking method; Based on the binding strength index and the pre-calibrated binding strength coefficient, the porosity correction amount is obtained; wherein, the binding strength coefficient represents the porosity change caused by a unit change in the binding strength index; and the porosity correction amount represents the reduction in cable bundle porosity caused by wire binding. The equivalent porosity of the halogen-free low-smoke flame-retardant cable is obtained by subtracting the porosity correction amount from the reference porosity.

5. The method for correcting heat release test data of halogen-free low-smoke flame-retardant cables according to claim 4, characterized in that, The porosity correction amount is obtained based on the binding strength index and the pre-calibrated binding strength coefficient, including: The binding strength index, the binding strength coefficient, and the pore convergence coefficient are input into the nonlinear pore decay model to obtain the porosity correction; wherein, the pore convergence coefficient is used to characterize the convergence characteristic that the porosity no longer decreases linearly under high binding strength.

6. The method for correcting heat release test data of halogen-free low-smoke flame-retardant cables according to claim 1, characterized in that, The oxygen diffusion coefficient is obtained based on the equivalent porosity of the halogen-free low-smoke flame-retardant cable, including: Obtain the free space oxygen diffusion coefficient of air; wherein, the free space oxygen diffusion coefficient represents the natural diffusion capacity of oxygen in air under unobstructed conditions; Obtain an empirical index determined in advance through calibration experiments; wherein the empirical index represents the nonlinear relationship between equivalent porosity and oxygen diffusion coefficient; The oxygen diffusion coefficient is calculated based on the equivalent porosity, the free space oxygen diffusion coefficient, and the empirical index.

7. The method for correcting heat release test data of halogen-free low-smoke flame-retardant cables according to claim 6, characterized in that, The step of substituting the oxygen diffusion coefficient into the combustion rate model to obtain the combustion correction factor includes: Substituting the free space oxygen diffusion coefficient into the combustion rate model, a reference combustion rate is obtained; Substituting the oxygen diffusion coefficient into the same combustion rate model, the actual combustion rate is obtained; A combustion correction factor is obtained based on the actual combustion rate, the reference combustion rate, and the sensitivity index; wherein the sensitivity index represents the degree to which changes in the oxygen diffusion coefficient affect the combustion rate.

8. The method for correcting heat release test data of halogen-free low-smoke flame-retardant cables according to claim 7, characterized in that, The step of obtaining the combustion correction factor based on the actual combustion rate, the reference combustion rate, and the sensitivity index includes: Calculate the ratio of the actual combustion rate to the reference combustion rate; The combustion rate base coefficient is obtained by performing a nonlinear power operation on the rate ratio with the sensitivity index as the power. Based on the equivalent porosity, the basic coefficient of combustion rate is corrected by porosity compensation to obtain the combustion correction factor.

9. The method for correcting heat release test data of halogen-free low-smoke flame-retardant cables according to claim 1, characterized in that, The step of adjusting the peak heat release rate, the time to reach the peak, and the total heat release according to the combustion correction factor to obtain the final corrected data includes: Multiply the peak heat release rate by the combustion correction factor to obtain the corrected peak heat release rate in the final corrected data; Divide the time to peak by the combustion correction factor to obtain the corrected time to peak in the final corrected data; Multiply the total heat release by the combustion correction factor to obtain the corrected total heat release in the final corrected data.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method as described in any one of claims 1 to 9.

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