High-strength steel wire torsion performance automatic detection method and system

Abstract

The application discloses a high-strength steel wire torsion performance automatic detection method and system, and the method comprises the following steps: acquiring steel wire information of the high-strength steel wire, wherein the steel wire information comprises a torsion angle, a standard torsion angle, an angle of the high-strength steel wire from an initial state to a maximum torsion stress state and a loading rate; setting a torsion performance detection model, and calculating a torsion stress index of the high-strength steel wire according to the steel wire information, wherein the torsion performance detection model comprises a shear modulus dependent on the torsion angle and temperature, a temperature-dependent yield strength and a material strength index dependent on the temperature and the loading rate; and comparing the torsion stress index of the high-strength steel wire with a preset threshold value, and issuing an alarm information when the torsion stress index of the high-strength steel wire exceeds the preset threshold value.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of steel wire performance detection, more specifically, relates to a high-strength steel wire torsional performance automatic detection method and system. BACKGROUND

[0002] High-strength steel wire is a kind of steel material with high tensile strength, widely used in construction, bridges, vehicles, mechanical equipment and other structures that require high strength and durability. The following is a brief overview of some key characteristics and applications of high-strength steel wire:

[0003] Key characteristics

[0004] High tensile strength: High-strength steel wire has extremely high tensile strength, usually above 1500 MPa, which enables it to withstand tremendous tensile force without breaking.

[0005] High hardness and wear resistance: Due to its high carbon content and special heat treatment process, high-strength steel wire has high hardness and wear resistance.

[0006] Good toughness: Although high-strength steel wire has high hardness, it still has certain toughness and can withstand large stress without brittle fracture.

[0007] However, there is no technical solution in the prior art that can efficiently and intelligently detect the torsional performance of high-strength steel wire. SUMMARY

[0008] To solve the above technical problems, the present application proposes a high-strength steel wire torsional performance automatic detection method, comprising:

[0009] Obtaining steel wire information of high-strength steel wire, wherein the steel wire information includes: torsion angle, standard torsion angle, angle and loading rate of high-strength steel wire from initial state to maximum torsional stress state;

[0010] Setting a torsional performance detection model, and calculating the torsional stress index of high-strength steel wire according to the steel wire information, wherein the torsional performance detection model includes: shear modulus dependent on torsion angle and temperature, temperature-dependent yield strength, and material strength index dependent on temperature and loading rate;

[0011] Comparing the torsional stress index of the high-strength steel wire with a preset threshold value, and issuing an alarm information when the torsional stress index of the high-strength steel wire exceeds the preset threshold value.

[0012] Further, the torsional performance detection model includes:

[0013]

[0014] where τ is a torsional stress index of the high strength steel wire, G is a shear modulus dependent on the torsion angle and temperature, γ is the torsion angle, n is a first adjustment factor for the torsion performance, θ Y (T) is a temperature dependent yield strength for considering the material yield strength change at temperature T, K is a temperature and loading rate dependent material strength index, θ0 is a standard torsion angle, β is a second adjustment factor for the torsion performance, α(T) is a temperature dependent attenuation factor, γ fatigue is a fourth adjustment factor for the torsion performance, θ F is an angle of the high strength steel wire from an initial state to a maximum torsional stress state, δ is a third adjustment factor for the torsion performance, γ rate is a fifth adjustment factor for the torsion performance, is a loading rate.

[0015] Further, the shear modulus G dependent on the torsion angle and temperature includes:

[0016]

[0017] where G0 is a base shear modulus, γ' is a first adjustment factor for temperature, β' is a second adjustment factor for temperature, is a temperature gradient, δ' is a first adjustment factor for the torsion angle, ζ is a second adjustment factor for the torsion angle.

[0018] Further, the temperature dependent yield strength θ Y (T) includes:

[0019]

[0020] where θ Y0 is a base yield strength, η is a third adjustment factor for temperature, ξ is an adjustment factor for aging time, age is a material aging time, is a fourth adjustment factor for temperature.

[0021] Further, the temperature and loading rate dependent material strength index K includes:

[0022]

[0023] where K0 is a base material strength, k' is a fifth adjustment factor for temperature, η history is an adjustment factor for the historical average material strength, history is a historical average material strength, λ is a first adjustment factor for the loading rate, μ is a second adjustment factor for the loading rate, ρ is a third adjustment factor for the loading rate, ψ is a fourth adjustment factor for the loading rate.

[0024] The present application also provides a high strength steel wire torsion performance automatic detection system, comprising:

[0025] an acquisition module configured to acquire wire information of the high-strength steel wire, wherein the wire information comprises a twist angle, a standard twist angle, an angle of the high-strength steel wire from an initial state to a maximum torsional stress state, and a loading rate;

[0026] a model setting module configured to set a torsional performance detection model, and calculate a torsional stress index of the high-strength steel wire according to the wire information, wherein the torsional performance detection model comprises a shear modulus dependent on the twist angle and temperature, a temperature-dependent yield strength, and a material strength index dependent on temperature and loading rate;

[0027] an alarm module configured to compare the torsional stress index of the high-strength steel wire with a preset threshold, and issue an alarm information when the torsional stress index of the high-strength steel wire exceeds the preset threshold.

[0028] Further, the torsional performance detection model comprises:

[0029]

[0030] wherein τ is the torsional stress index of the high-strength steel wire, G is the shear modulus dependent on the twist angle and temperature, θ is the twist angle, n is a first adjustment factor of the torsional performance, θ Y (T) is the temperature-dependent yield strength, K is the material strength index dependent on temperature and loading rate, θ0 is the standard twist angle, β is a second adjustment factor of the torsional performance, α(T) is a temperature-dependent attenuation factor, γ fatigue is a fourth adjustment factor of the torsional performance, θ F is the angle of the high-strength steel wire from the initial state to the maximum torsional stress state, δ is a third adjustment factor of the torsional performance, γ rate is a fifth adjustment factor of the torsional performance, is the loading rate.

[0031] Further, the shear modulus dependent on the twist angle and temperature G comprises:

[0032]

[0033] wherein G0 is a basic shear modulus, γ' is a first adjustment factor of temperature, β' is a second adjustment factor of temperature, is a temperature gradient, δ' is a first adjustment factor of the twist angle, ζ is a second adjustment factor of the twist angle.

[0034] Further, the temperature-dependent yield strength θ Y (T) comprises:

[0035]

[0036] wherein θ Y0 is a base yield strength, η is a third adjustment factor for temperature, ξ is an adjustment factor for aging time, age is a material aging time, is a fourth adjustment factor for temperature.

[0037] Further, the temperature and loading rate dependent material strength index K comprises:

[0038]

[0039] wherein K0 is a base material strength, k' is a fifth adjustment factor for temperature, η history is an adjustment factor for historical average material strength, history is a historical average material strength, λ is a first adjustment factor for loading rate, μ is a second adjustment factor for loading rate, ρ is a third adjustment factor for loading rate, ψ is a fourth adjustment factor for loading rate.

[0040] Overall, the above technical solutions conceived by the present application have the following beneficial effects compared to the prior art:

[0041] The present application obtains steel wire information of high-strength steel wire, wherein the steel wire information includes: a twist angle, a standard twist angle, an angle and a loading rate of the high-strength steel wire from an initial state to a maximum torsional stress state; a torsional performance detection model is set, and a torsional stress index of the high-strength steel wire is calculated according to the steel wire information, wherein the torsional performance detection model includes: a shear modulus dependent on the twist angle and temperature, a temperature-dependent yield strength, and a temperature and loading rate-dependent material strength index; the torsional stress index of the high-strength steel wire is compared with a preset threshold value, and when the torsional stress index of the high-strength steel wire exceeds the preset threshold value, an alarm information is issued. Through the above technical solutions, the present application can detect the torsional performance of the high-strength steel wire in real time, play an intelligent detection role, and thus provide data support for the research and use of the steel wire. BRIEF DESCRIPTION OF DRAWINGS

[0042] Figure 1 is a flowchart of the method of embodiment 1 of the present application;

[0043] Figure 2 is a structural diagram of the system of embodiment 2 of the present application. DETAILED DESCRIPTION

[0044] In order to better understand the above technical solutions, the above technical solutions will be described in detail below in combination with the drawings in the specification and specific embodiments.

[0045] The method provided by the application can be implemented in a terminal environment, which can include one or more of the following components: a processor, a storage medium, and a display screen. The storage medium stores at least one instruction, which is loaded and executed by the processor to implement the method described in the following embodiments.

[0046] The processor can include one or more processing cores. The processor connects various parts in the entire terminal through various interfaces and lines, and performs various functions of the terminal and processes data by running or executing instructions, programs, code sets or instruction sets stored in the storage medium, and calling data stored in the storage medium.

[0047] The storage medium can include random access memory (RAM) and read-only memory (ROM). The storage medium can be used to store instructions, programs, codes, code sets or instructions.

[0048] The display screen is used to display the user interface of various application programs.

[0049] In addition, those skilled in the art can understand that the structure of the terminal described above does not constitute a limitation on the terminal, and the terminal can include more or fewer components, or combine certain components, or different component arrangements. For example, the terminal also includes radio frequency circuitry, an input unit, a sensor, audio circuitry, a power supply, and the like, which are not described here.

[0050] Embodiment 1

[0051] As shown in Figure 1 The application embodiment provides a high-strength steel wire torsion performance automatic detection method, which comprises the following steps:

[0052] In step 101, the steel wire information of the high-strength steel wire is obtained, wherein the steel wire information includes: a torsion angle, a standard torsion angle, an angle of the high-strength steel wire from an initial state to a maximum torsion stress state, and a loading rate;

[0053] In step 102, a torsion performance detection model is set, and the torsion stress index of the high-strength steel wire is calculated according to the steel wire information, wherein the torsion performance detection model includes: a shear modulus dependent on the torsion angle and the temperature, a temperature-dependent yield strength, and a material strength index dependent on the temperature and the loading rate;

[0054] Specifically, the torsion performance detection model includes:

[0055]

[0056] where τ is a torsional stress exponent of the high-strength steel wire, G is a shear modulus dependent on the torsion angle and temperature, θ is the torsion angle, n is a first adjustment factor of the torsional property, θ Y (T) is a temperature-dependent yield strength for considering the change of the material yield strength at temperature T, K is a temperature and loading rate dependent material strength exponent, θ0 is a standard torsion angle (an important reference angle of the steel wire during the torsion process. It can be the angle of the material reaching a certain strain or stress state under some standard conditions (e.g. room temperature, no stress history influence, etc.)), β is a second adjustment factor of the torsional property, α(T) is a temperature-dependent attenuation factor, γ fatigue is a fourth adjustment factor of the torsional property, θ F is an angle of the high-strength steel wire from the initial state to the maximum torsional stress state, δ is a third adjustment factor of the torsional property, γ rate is a fifth adjustment factor of the torsional property, is a loading rate.

[0057] Specifically, the shear modulus G dependent on the torsion angle and temperature includes:

[0058]

[0059] where G0 is a base shear modulus, γ' is a first adjustment factor of temperature, β' is a second adjustment factor of temperature, is a temperature gradient, δ' is a first adjustment factor of the torsion angle, ζ is a second adjustment factor of the torsion angle.

[0060] Specifically, the temperature-dependent yield strength θ Y (T) includes:

[0061]

[0062] where θ Y0 is a base yield strength, η is a third adjustment factor of temperature, ξ is an adjustment factor of aging time, age is the material aging time, is a fourth adjustment factor of temperature.

[0063] Specifically, the temperature and loading rate dependent material strength exponent K includes:

[0064]

[0065] where K0 is a base material strength, k' is a fifth adjustment factor of temperature, η history is an adjustment factor of the historical average material strength, history is the historical average material strength, λ is a first adjustment factor of the loading rate, μ is a second adjustment factor of the loading rate, ρ is a third adjustment factor of the loading rate, ψ is a fourth adjustment factor of the loading rate.

[0066] Step 103, comparing the torsion stress index of the high-strength steel wire with a preset threshold value, and issuing an alarm information when the torsion stress index of the high-strength steel wire exceeds the preset threshold value.

[0067] Embodiment 2

[0068] As shown in Figure 2 The embodiment of the application also provides a high-strength steel wire torsion performance automatic detection system, which comprises:

[0069] An information acquisition module is configured to acquire steel wire information of the high-strength steel wire, wherein the steel wire information comprises a torsion angle, a standard torsion angle, an angle of the high-strength steel wire from an initial state to a maximum torsion stress state, and a loading rate.

[0070] A model setting module is configured to set a torsion performance detection model, and calculate a torsion stress index of the high-strength steel wire according to the steel wire information, wherein the torsion performance detection model comprises a shear modulus dependent on the torsion angle and temperature, a temperature-dependent yield strength, and a material strength index dependent on temperature and loading rate.

[0071] Specifically, the torsion performance detection model comprises:

[0072]

[0073] wherein τ is the torsion stress index of the high-strength steel wire, G is the shear modulus dependent on the torsion angle and temperature, θ is the torsion angle, n is a first adjustment factor of the torsion performance, θ Y (T) is the temperature-dependent yield strength, which is used to consider the change of the material yield strength under the temperature T, K is the material strength index dependent on temperature and loading rate, θ0 is the standard torsion angle, β is a second adjustment factor of the torsion performance, α(T) is the temperature-dependent attenuation factor, γ fatigue is a fourth adjustment factor of the torsion performance, θ F is the angle of the high-strength steel wire from the initial state to the maximum torsion stress state, δ is a third adjustment factor of the torsion performance, γ rate is a fifth adjustment factor of the torsion performance, is the loading rate.

[0074] Specifically, the shear modulus dependent on the torsion angle and temperature G comprises:

[0075]

[0076] wherein G0 is a basic shear modulus, γ' is a first adjustment factor of temperature, β' is a second adjustment factor of temperature, for a temperature gradient, δ' is a first adjustment factor for the twist angle, and ζ is a second adjustment factor for the twist angle.

[0077] In particular, the temperature-dependent yield strength θ Y (T) includes:

[0078]

[0079] where θ Y0 is a base yield strength, η is a third adjustment factor for temperature, ξ is an adjustment factor for aging time, age is a material aging time, is a fourth adjustment factor for temperature.

[0080] In particular, the temperature- and loading rate-dependent material strength index K includes:

[0081]

[0082] where K0 is a base material strength, κ' is a fifth adjustment factor for temperature, η history is an adjustment factor for the historical average material strength, history is the historical average material strength, λ is a first adjustment factor for the loading rate, μ is a second adjustment factor for the loading rate, ρ is a third adjustment factor for the loading rate, and ψ is a fourth adjustment factor for the loading rate.

[0083] The alarm module is configured to compare the twist stress index of the high-strength steel wire with a preset threshold value, and issue an alarm information when the twist stress index of the high-strength steel wire exceeds the preset threshold value.

[0084] Embodiment 3

[0085] The embodiment of the present application also provides a storage medium storing a plurality of instructions for implementing the automatic detection method for the twist performance of the high-strength steel wire.

[0086] Optionally, in the embodiment, the storage medium can be located in any one of computer terminals in a computer terminal group in a computer network, or in any one of mobile terminals in a mobile terminal group.

[0087] Optionally, in the embodiment, the storage medium is configured to store program codes for performing the following steps: step 101, obtaining steel wire information of the high-strength steel wire, wherein the steel wire information includes a twist angle, a standard twist angle, an angle of the high-strength steel wire from an initial state to a maximum twist stress state, and a loading rate;

[0088] In step 102, a torsion performance detection model is set, and a torsion stress index of the high-strength steel wire is calculated according to the steel wire information, wherein the torsion performance detection model includes a shear modulus dependent on a torsion angle and a temperature, a yield strength dependent on a temperature, and a material strength index dependent on a temperature and a loading rate.

[0089] Specifically, the torsion performance detection model includes:

[0090]

[0091] wherein τ is the torsion stress index of the high-strength steel wire, G is the shear modulus dependent on the torsion angle and the temperature, θ is the torsion angle, n is a first adjustment factor of the torsion performance, θ Y (T) is the yield strength dependent on the temperature, which is used to consider the change of the material yield strength at the temperature T, K is the material strength index dependent on the temperature and the loading rate, θ0 is a standard torsion angle, β is a second adjustment factor of the torsion performance, α(T) is a temperature-dependent attenuation factor, γ fatigue is a fourth adjustment factor of the torsion performance, θ F is an angle of the high-strength steel wire from an initial state to a maximum torsion stress state, δ is a third adjustment factor of the torsion performance, γ rate is a fifth adjustment factor of the torsion performance, is the loading rate.

[0092] Specifically, the shear modulus dependent on the torsion angle and the temperature G includes:

[0093]

[0094] wherein G0 is a basic shear modulus, γ' is a first adjustment factor of the temperature, β' is a second adjustment factor of the temperature, is a temperature gradient, δ' is a first adjustment factor of the torsion angle, ζ is a second adjustment factor of the torsion angle.

[0095] Specifically, the yield strength dependent on the temperature θ Y (T) includes:

[0096]

[0097] wherein θ Y0 is a basic yield strength, η is a third adjustment factor of the temperature, ξ is an adjustment factor of an aging time, age is a material aging time, is a fourth adjustment factor of the temperature.

[0098] Specifically, the material strength index dependent on the temperature and the loading rate K includes:

[0099]

[0100] wherein K0 is a base material strength, K' is a fifth adjustment factor for temperature, η history is an adjustment factor for historical average material strength, history is a historical average material strength, l is a first adjustment factor for loading rate, m is a second adjustment factor for loading rate, p is a third adjustment factor for loading rate, and y is a fourth adjustment factor for loading rate.

[0101] Step 103, comparing the torsion stress index of the high-strength steel wire with a preset threshold value, and issuing an alarm information when the torsion stress index of the high-strength steel wire exceeds the preset threshold value.

[0102] Embodiment 4

[0103] The embodiment of the present application also provides an electronic device, which comprises a processor and a storage medium connected with the processor, and the storage medium stores a plurality of instructions which can be loaded and executed by the processor so that the processor can execute the high-strength steel wire torsion performance automatic detection method.

[0104] Specifically, the electronic device of the embodiment can be a computer terminal, which can comprise one or more processors and a storage medium.

[0105] The storage medium can be used to store software programs and modules, such as the high-strength steel wire torsion performance automatic detection method of the embodiment of the present application and corresponding program instructions / modules. The processor executes various functional applications and data processing by running the software programs and modules stored in the storage medium, that is, implements the high-strength steel wire torsion performance automatic detection method. The storage medium can comprise a high-speed random storage medium and can also comprise a non-volatile storage medium, such as one or more magnetic storage systems, flash memories or other non-volatile solid-state storage media. In some examples, the storage medium can further comprise storage media remotely arranged relative to the processor, which can be connected to the terminal through a network. Examples of the network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network and a combination thereof.

[0106] The processor can call the information and application programs stored in the storage medium through a transmission system to execute the following steps: Step 101, obtaining steel wire information of a high-strength steel wire, wherein the steel wire information comprises a torsion angle, a standard torsion angle, an angle of the high-strength steel wire from an initial state to a maximum torsion stress state and a loading rate;

[0107] In step 102, a torsion performance detection model is set, and a torsion stress index of the high-strength steel wire is calculated according to the steel wire information, wherein the torsion performance detection model includes a shear modulus dependent on a torsion angle and a temperature, a yield strength dependent on a temperature, and a material strength index dependent on a temperature and a loading rate.

[0108] Specifically, the torsion performance detection model includes:

[0109]

[0110] wherein τ is the torsion stress index of the high-strength steel wire, G is the shear modulus dependent on the torsion angle and the temperature, θ is the torsion angle, n is a first adjustment factor of the torsion performance, θ Y (T) is the yield strength dependent on the temperature, used to consider the change of the material yield strength at the temperature T, K is the material strength index dependent on the temperature and the loading rate, θ0 is a standard torsion angle, β is a second adjustment factor of the torsion performance, α(T) is a temperature-dependent attenuation factor, γ fatigue is a fourth adjustment factor of the torsion performance, θ F is an angle of the high-strength steel wire from an initial state to a maximum torsion stress state, δ is a third adjustment factor of the torsion performance, γ rate is a fifth adjustment factor of the torsion performance, is the loading rate.

[0111] Specifically, the shear modulus G dependent on the torsion angle and the temperature includes:

[0112]

[0113] wherein G0 is a basic shear modulus, γ' is a first adjustment factor of the temperature, β' is a second adjustment factor of the temperature, is a temperature gradient, δ' is a first adjustment factor of the torsion angle, ζ is a second adjustment factor of the torsion angle.

[0114] Specifically, the yield strength θ Y (T) dependent on the temperature includes:

[0115]

[0116] wherein θ Y0 is a basic yield strength, η is a third adjustment factor of the temperature, ξ is an adjustment factor of an aging time, age is a material aging time, is a fourth adjustment factor of the temperature.

[0117] Specifically, the material strength index K dependent on the temperature and the loading rate includes:

[0118]

[0119] wherein K0 is a base material strength, K' is a fifth adjustment factor for temperature, η history is an adjustment factor for historical average material strength, history is a historical average material strength, l is a first adjustment factor for loading rate, m is a second adjustment factor for loading rate, p is a third adjustment factor for loading rate, and y is a fourth adjustment factor for loading rate.

[0120] Step 103, comparing the torsional stress index of the high-strength steel wire with a preset threshold value, and issuing an alarm information when the torsional stress index of the high-strength steel wire exceeds the preset threshold value.

[0121] The above-mentioned embodiment numbers of the present application are only for description, and do not represent the advantages and disadvantages of the embodiments.

[0122] In the above-mentioned embodiments of the present application, the description of each embodiment has its own emphasis, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0123] In the several embodiments of the present application, it should be understood that the disclosed technology can be implemented in other ways. Of course, the embodiments described above are only illustrative, and the division of units is only a logical function division, and there can be another division manner in actual implementation, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units or modules shown or discussed can be indirect coupling or communication connection through some interfaces, units or modules, and can be electrical or other forms.

[0124] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or they can be distributed on multiple network units. According to actual needs, some or all of the units can be selected to achieve the purpose of the embodiment.

[0125] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0126] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such an understanding, the technical solutions of the present application, essentially or in other words, the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0127] Obviously, the above embodiments are only examples for clearly illustrating, but not limitation on the embodiments. For those skilled in the art, based on the above description, other different forms of changes or variations can also be made. Here, it is not necessary and also impossible to enumerate all the embodiments. The obvious changes or variations derived therefrom are still within the protection scope of the present application.

Claims

1. A method for automatically detecting torsional properties of high-strength steel wire, characterized by, The method comprises: obtaining steel wire information of the high-strength steel wire, wherein the steel wire information comprises a torsion angle, a standard torsion angle, an angle of the high-strength steel wire from an initial state to a maximum torsion stress state, and a loading rate; setting a torsion performance detection model, and calculating a torsion stress index of the high-strength steel wire according to the steel wire information, wherein the torsion performance detection model comprises a shear modulus dependent on the torsion angle and temperature, a temperature-dependent yield strength, and a material strength index dependent on temperature and the loading rate; the torsion performance detection model comprises: where τ is the torsional stress index of the high-strength steel wire, G is the shear modulus dependent on the torsion angle and temperature, θ is the torsion angle, n is a first adjustment factor for the torsional performance, θ Y (T) is a temperature-dependent yield strength for considering the change in material yield strength at temperature T, K is a temperature- and loading rate-dependent material strength index, θ0 is a standard torsion angle, β is a second adjustment factor for the torsional performance, α(T) is a temperature-dependent attenuation factor, γ fatigue is a fourth adjustment factor for the torsional performance, θ F is the angle of the high-strength steel wire from the initial state to the maximum torsional stress state, δ is a third adjustment factor for the torsional performance, γ rate is a fifth adjustment factor for the torsional performance, is the loading rate; comparing the torsion stress index of the high-strength steel wire with a preset threshold value, and issuing an alarm information when the torsion stress index of the high-strength steel wire exceeds the preset threshold value.

2. The method of claim 1, wherein the high-strength steel wire torsion property is automatically detected by the steps of: The shear modulus G dependent on the torsion angle and temperature comprises: ​ where G0is the base shear modulus, γ' is a first adjustment factor for temperature, β' is a second adjustment factor for temperature, is the temperature gradient, δ' is a first adjustment factor for the twist angle, ζ is a second adjustment factor for the twist angle.

3. The method of claim 1, wherein the high strength steel wire torsion property is automatically detected by the steps of: Temperature-dependent yield strength θ Y (T) comprises: ​ where θ Y0 is the base yield strength, η is a third adjustment factor for temperature, ξ is an adjustment factor for aging time, age is the material aging time, is a fourth adjustment factor for temperature, is the temperature gradient.

4. The method of claim 1, wherein the high strength steel wire torsion property automatic detection method is characterized by, The material strength index K dependent on temperature and the loading rate comprises: where K0 is a base material strength, K' is a fifth adjustment factor for temperature, η history is an adjustment factor for historical average material strength, history is a historical average material strength, λ is a first adjustment factor for loading rate, μ is a second adjustment factor for loading rate, ρ is a third adjustment factor for loading rate, ψ is a fourth adjustment factor for loading rate, is a temperature gradient.

5. A high-strength steel wire torsion performance automatic detection system, characterized in that, The method comprises: an information obtaining module configured to obtain steel wire information of the high-strength steel wire, wherein the steel wire information comprises a torsion angle, a standard torsion angle, an angle of the high-strength steel wire from an initial state to a maximum torsion stress state, and a loading rate; a model setting module configured to set a torsion performance detection model, and calculate a torsion stress index of the high-strength steel wire according to the steel wire information, wherein the torsion performance detection model comprises a shear modulus dependent on the torsion angle and temperature, a temperature-dependent yield strength, and a material strength index dependent on temperature and the loading rate; the torsion performance detection model comprises: where τ is the torsional stress index of the high-strength steel wire, G is the shear modulus dependent on the torsion angle and temperature, θ is the torsion angle, n is a first adjustment factor for the torsional performance, θ Y (T) is a temperature-dependent yield strength for considering the change in material yield strength at temperature T, K is a temperature- and loading rate-dependent material strength index, θ0 is a standard torsion angle, β is a second adjustment factor for the torsional performance, α(T) is a temperature-dependent attenuation factor, γ fatigue is a fourth adjustment factor for the torsional performance, θ F is the angle of the high-strength steel wire from the initial state to the maximum torsional stress state, δ is a third adjustment factor for the torsional performance, γ rate is a fifth adjustment factor for the torsional performance, is the loading rate; an alarm module configured to compare the torsion stress index of the high-strength steel wire with a preset threshold value, and issue an alarm information when the torsion stress index of the high-strength steel wire exceeds the preset threshold value.

6. The automatic detection system for torsion performance of high-strength steel wire according to claim 5, wherein The shear modulus G dependent on the torsion angle and temperature comprises: where G0is the base shear modulus, γ' is a first adjustment factor for temperature, β' is a second adjustment factor for temperature, is the temperature gradient, δ' is a first adjustment factor for the twist angle, ζ is a second adjustment factor for the twist angle.

7. The automatic high-strength steel wire torsion performance detection system according to claim 5, wherein Temperature dependent yield strength θ Y (T) comprises: where θ Y0 is the base yield strength, η is a third adjustment factor for temperature, ξ is an adjustment factor for aging time, age is the material aging time, is a fourth adjustment factor for temperature, is the temperature gradient.

8. The automatic high-strength steel wire torsion performance detection system according to claim 5, wherein The material strength index K dependent on temperature and the loading rate comprises: where K0 is a base material strength, K' is a fifth adjustment factor for temperature, η history is an adjustment factor for historical average material strength, history is a historical average material strength, λ is a first adjustment factor for loading rate, μ is a second adjustment factor for loading rate, ρ is a third adjustment factor for loading rate, ψ is a fourth adjustment factor for loading rate, is a temperature gradient.

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