Steel wire damage diagnosis method and system

Abstract

The invention relates to the technical field of steel wire damage diagnosis, in particular to a steel wire damage diagnosis method and system.The method comprises the steps that a surface image of a to-be-diagnosed steel wire is obtained and preprocessed to obtain a first steel wire diagnosis image, a steel wire abrasion diagnosis model is constructed to recognize the first steel wire diagnosis image, and steel wire abrasion characteristics are obtained; obtaining a steel wire wear coefficient according to the steel wire wear characteristics; constructing a steel wire deformation diagnosis model to identify the first steel wire diagnosis image to obtain steel wire deformation characteristics, and obtaining a steel wire deformation coefficient according to the steel wire deformation characteristics; and according to the steel wire wear coefficient and the steel wire deformation coefficient, a steel wire damage coefficient is obtained, and according to the steel wire damage coefficient and a preset steel wire damage coefficient threshold value set, steel wire damage categories are obtained, and the steel wire damage categories comprise intact damage, slight damage, moderate damage and serious damage. By comprehensively analyzing the abrasion and deformation of the steel wire, the accuracy of steel wire damage diagnosis is remarkably improved.

Description

Technical Field

[0001] The invention relates to the technical field of steel wire damage diagnosis, and in particular to a steel wire damage diagnosis method and a system thereof. Background Art

[0002] Steel wire refers to a thin, single metal wire made of steel. Due to its high strength, high toughness, small diameter and good flexibility, steel wire is widely used in various fields, including construction, mining, power communication, industrial manufacturing and military aviation.

[0003] Steel wire damage diagnosis is a process of detecting, identifying and evaluating the damage, wear, cracks or fatigue of steel wires during use through various technical means. This diagnostic process is of great significance to ensure the safety, reliability and service life of steel wire applications.

[0004] Steel wire damage diagnosis involves important areas such as safety, economic benefits, technological development, environmental protection, social trust and regulatory compliance. Its importance cannot be ignored, and it is a key means to ensure the safe and reliable operation of various steel wire application scenarios. Therefore, achieving accurate steel wire damage diagnosis has important research value.

[0005] Traditional methods for diagnosing wire damage include visual inspection, magnetic particle testing, ultrasonic testing, eddy current testing and acoustic emission testing. The above methods are generally based on a single factor of the steel wire, including the wear or deformation of the steel wire, but cannot comprehensively analyze the damage of the steel wire, which easily leads to low accuracy in diagnosing wire damage.

[0006] Therefore, a wire damage diagnosis method and system are proposed. Summary of the invention

[0007] The purpose of the present invention is to provide a wire damage diagnosis method and system thereof, the present invention relates to the field of wire damage diagnosis technology, specifically a wire damage diagnosis method and system thereof, comprising: obtaining a surface image of a wire to be diagnosed, and pre-processing to obtain a first wire diagnosis image, constructing a wire wear diagnosis model to identify the first wire diagnosis image, obtaining wire wear characteristics, and obtaining a wire wear coefficient according to the wire wear characteristics; constructing a wire deformation diagnosis model to identify the first wire diagnosis image, obtaining wire deformation characteristics, and obtaining a wire deformation coefficient according to the wire deformation characteristics; obtaining a wire damage coefficient according to the wire wear coefficient and the wire deformation coefficient, and obtaining a wire damage category according to the wire damage coefficient and a preset wire damage coefficient threshold set, the wire damage category including four types of damage categories: intact, slightly damaged, moderately damaged, and severely damaged. The present invention significantly improves the accuracy of wire damage diagnosis by comprehensively analyzing the wear and deformation of the wire.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] A wire damage diagnosis method, comprising:

[0010] S10. Acquire a surface image of the steel wire to be diagnosed as a first steel wire image; preprocess the first steel wire image to obtain a first steel wire diagnostic image;

[0011] S20. Construct a steel wire wear diagnosis model, input the first steel wire diagnosis image into the steel wire wear diagnosis model, and sequentially pass through the first input layer, wear feature recognition layer, wear coefficient analysis layer and first output layer of the steel wire wear diagnosis model; the wear feature recognition layer is used to recognize the steel wire wear feature of the first steel wire diagnosis image, and the wear coefficient analysis layer is used to obtain the steel wire wear coefficient according to the steel wire wear feature;

[0012] S30. Constructing a steel wire deformation diagnosis model, inputting the first steel wire diagnosis image into the steel wire deformation diagnosis model, and sequentially passing through the second input layer, deformation feature recognition layer, deformation coefficient analysis layer and second output layer of the steel wire deformation diagnosis model; the deformation feature recognition layer is used to recognize the steel wire deformation feature of the first steel wire diagnosis image, and the deformation coefficient analysis layer is used to obtain the steel wire deformation coefficient according to the steel wire deformation feature;

[0013] S40. A steel wire damage coefficient is obtained based on the steel wire wear coefficient and the steel wire deformation coefficient, and a steel wire damage category is obtained based on the steel wire damage coefficient and a preset steel wire damage coefficient threshold set. The steel wire damage category includes four damage categories: intact, slightly damaged, moderately damaged and severely damaged.

[0014] Preferably, the wire wear diagnosis model comprises a first input layer, a wear feature recognition layer, a wear coefficient analysis layer and a first output layer;

[0015] The first input layer is used to input the first steel wire diagnostic image into the steel wire wear diagnostic model;

[0016] The wear feature recognition layer is used to identify the scratch area, the concave area and the abrasion area of ​​the first steel wire diagnostic image through CNN to obtain the steel wire wear feature; the steel wire wear feature includes the area of ​​the steel wire scratch area, the area of ​​the steel wire concave area and the area of ​​the steel wire abrasion area;

[0017] The wear coefficient analysis layer is used to obtain the steel wire wear coefficient according to the steel wire wear characteristics;

[0018] The first output layer is used to output the steel wire wear coefficient.

[0019] Preferably, the steel wire wear coefficient is:

[0020]

[0021] Where, WCOSW represents the wire wear coefficient; ω aosa represents the wire scratch influence coefficient; AOSA represents the wire scratch area; ω aodr represents the influence coefficient of steel wire depression; AODR represents the area of ​​steel wire depression; ω aoez It represents the influence coefficient of steel wire abrasion; AOEZ represents the area of ​​steel wire abrasion zone; TS represents the total area of ​​the zone.

[0022] Preferably, the wire deformation diagnosis model includes a second input layer, a deformation feature recognition layer, a deformation coefficient analysis layer and a second output layer;

[0023] The second input layer is used to input the first steel wire diagnostic image into the steel wire deformation diagnostic model;

[0024] The deformation feature recognition layer is used to obtain the steel wire deformation features of the first steel wire diagnostic image through CNN; the steel wire deformation features include steel wire bending angle, steel wire length change rate, steel wire width change rate and steel wire diameter change rate;

[0025] The deformation coefficient analysis layer is used to obtain the steel wire deformation coefficient according to the steel wire deformation characteristics;

[0026] The second output layer is used to output the steel wire deformation coefficient.

[0027] Preferably, the steel wire deformation coefficient is:

[0028] DCOSW=η1*BA+η2*|CROL|+η3*|CROW|+η4*|CROD|;

[0029] Among them, DCOSW represents the deformation coefficient of the steel wire; η1 represents the influence coefficient of the steel wire bending angle; BA represents the bending angle of the steel wire; η2 represents the influence coefficient of the steel wire length; CROL represents the change rate of the steel wire length; η3 represents the influence coefficient of the steel wire width; CROW represents the change rate of the steel wire width; η4 represents the influence coefficient of the steel wire diameter; CROD represents the change rate of the steel wire diameter.

[0030] Preferably, the steel wire damage coefficient is:

[0031] SWHC=ICW*WCOSW+ICD*DCOSW;

[0032] Among them, SWHC represents the steel wire damage coefficient; ICW represents the steel wire wear influence coefficient; WCOSW represents the steel wire wear coefficient; ICD represents the steel wire deformation influence coefficient; DCOSW represents the steel wire deformation coefficient.

[0033] A wire damage diagnosis system, comprising:

[0034] A steel wire image acquisition module, used to acquire a surface image of the steel wire to be diagnosed as a first steel wire image; preprocess the first steel wire image to obtain a first steel wire diagnostic image;

[0035] A wire wear diagnosis module, used to construct a wire wear diagnosis model, input the first wire diagnosis image into the wire wear diagnosis model, and sequentially pass through the first input layer, wear feature recognition layer, wear coefficient analysis layer and first output layer of the wire wear diagnosis model; the wear feature recognition layer is used to recognize the wire wear feature of the first wire diagnosis image, and the wear coefficient analysis layer is used to obtain the wire wear coefficient according to the wire wear feature;

[0036] A steel wire deformation diagnosis module, used to construct a steel wire deformation diagnosis model, input the first steel wire diagnosis image into the steel wire deformation diagnosis model, and sequentially pass through the second input layer, deformation feature recognition layer, deformation coefficient analysis layer and second output layer of the steel wire deformation diagnosis model; the deformation feature recognition layer is used to recognize the steel wire deformation feature of the first steel wire diagnosis image, and the deformation coefficient analysis layer is used to obtain the steel wire deformation coefficient according to the steel wire deformation feature;

[0037] The steel wire comprehensive damage diagnosis module is used to obtain the steel wire damage coefficient according to the steel wire wear coefficient and the steel wire deformation coefficient, and to obtain the steel wire damage category according to the steel wire damage coefficient and a preset steel wire damage coefficient threshold set. The steel wire damage category includes four damage categories: intact, slightly damaged, moderately damaged and severely damaged.

[0038] Preferably, the wire wear diagnosis model comprises a first input layer, a wear feature recognition layer, a wear coefficient analysis layer and a first output layer;

[0039] The first input layer is used to input the first steel wire diagnostic image into the steel wire wear diagnostic model;

[0040] The wear feature recognition layer is used to identify the scratch area, the concave area and the abrasion area of ​​the first steel wire diagnostic image through CNN to obtain the steel wire wear feature; the steel wire wear feature includes the area of ​​the steel wire scratch area, the area of ​​the steel wire concave area and the area of ​​the steel wire abrasion area;

[0041] The wear coefficient analysis layer is used to obtain the steel wire wear coefficient according to the steel wire wear characteristics;

[0042] The first output layer is used to output the steel wire wear coefficient.

[0043] Preferably, the wire deformation diagnosis model includes a second input layer, a deformation feature recognition layer, a deformation coefficient analysis layer and a second output layer;

[0044] The second input layer is used to input the first steel wire diagnostic image into the steel wire deformation diagnostic model;

[0045] The deformation feature recognition layer is used to obtain the steel wire deformation features of the first steel wire diagnostic image through CNN; the steel wire deformation features include steel wire bending angle, steel wire length change rate, steel wire width change rate and steel wire diameter change rate;

[0046] The deformation coefficient analysis layer is used to obtain the steel wire deformation coefficient according to the steel wire deformation characteristics;

[0047] The second output layer is used to output the steel wire deformation coefficient.

[0048] Preferably, the steel wire damage coefficient is:

[0049] SWHC=ICW*WCOSW+ICD*DCOSW;

[0050] Among them, SWHC represents the steel wire damage coefficient; ICW represents the steel wire wear influence coefficient; WCOSW represents the steel wire wear coefficient; ICD represents the steel wire deformation influence coefficient; DCOSW represents the steel wire deformation coefficient.

[0051] Compared with the prior art, the present invention has the following beneficial effects:

[0052] 1. The present invention identifies the surface image of the steel wire by constructing a steel wire wear diagnosis model to obtain the steel wire wear characteristics, including the area of ​​the steel wire scratch area, the area of ​​the steel wire depression area and the area of ​​the steel wire abrasion area; and obtains the steel wire wear coefficient according to the steel wire wear characteristics. The steel wire wear coefficient reflects the wear condition of the steel wire and lays a good data foundation for the diagnosis of steel wire damage, thereby effectively improving the accuracy of the diagnosis of steel wire damage.

[0053] 2. The present invention identifies the surface image of the steel wire by constructing a steel wire deformation diagnosis model to obtain steel wire deformation characteristics including the steel wire bending angle, the steel wire length change rate, the steel wire width change rate and the steel wire diameter change rate, and obtains the steel wire deformation coefficient according to the steel wire deformation characteristics. The steel wire deformation coefficient effectively explains the deformation of the steel wire surface, provides effective data support for steel wire damage diagnosis, and thus effectively improves the accuracy of steel wire damage diagnosis.

[0054] 3. The present invention analyzes the wear and deformation of the steel wire by comprehensively considering the wear and deformation of the steel wire, obtains the wear characteristics and deformation characteristics of the steel wire, and obtains the steel wire damage coefficient. The steel wire damage condition is comprehensively analyzed through the steel wire damage coefficient, and the steel wire damage category is obtained according to the preset steel wire damage coefficient threshold set, including four damage categories: intact, slightly damaged, moderately damaged and severely damaged. The above method effectively improves the accuracy of steel wire damage diagnosis. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 A flow chart of a wire damage diagnosis method proposed in an embodiment of the present invention;

[0056] Figure 2 A schematic diagram of a wire damage diagnosis system proposed in an embodiment of the present invention;

[0057] Figure 3 A schematic diagram of a wire wear diagnosis model proposed in an embodiment of the present invention;

[0058] Figure 4 A schematic diagram of a steel wire deformation diagnosis model proposed in an embodiment of the present invention. DETAILED DESCRIPTION

[0059] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0060] Embodiment 1

[0061] A steel wire factory is diagnosing the damage of processed steel wires. In order to improve the accuracy of steel wire damage diagnosis, a steel wire damage diagnosis method is applied;

[0062] Reference Figure 1 , is a flow chart of a wire damage diagnosis method, comprising:

[0063] S10. Acquire a surface image of the steel wire to be diagnosed as a first steel wire image; preprocess the first steel wire image to obtain a first steel wire diagnostic image;

[0064] S20. Construct a wire wear diagnostic model, input the first wire diagnostic image into the wire wear diagnostic model, and sequentially pass through the first input layer, wear feature recognition layer, wear coefficient analysis layer and first output layer of the wire wear diagnostic model; the wear feature recognition layer is used to recognize the wire wear features of the first wire diagnostic image, and the wear coefficient analysis layer is used to obtain the wire wear coefficient according to the wire wear features; the schematic diagram of the wire wear diagnostic model is as shown in Figure 3 As shown;

[0065] Further, the wire wear diagnosis model includes a first input layer, a wear feature recognition layer, a wear coefficient analysis layer and a first output layer;

[0066] The first input layer is used to input the first steel wire diagnostic image into the steel wire wear diagnostic model;

[0067] The wear feature recognition layer is used to identify the scratch area, the concave area and the abrasion area of ​​the first steel wire diagnostic image through CNN to obtain the steel wire wear feature; the steel wire wear feature includes the area of ​​the steel wire scratch area, the area of ​​the steel wire concave area and the area of ​​the steel wire abrasion area;

[0068] The wear coefficient analysis layer is used to obtain the steel wire wear coefficient according to the steel wire wear characteristics;

[0069] The first output layer is used to output the steel wire wear coefficient.

[0070] Furthermore, the steel wire wear coefficient is:

[0071]

[0072] Where, WCOSW represents the wire wear coefficient; ω aosa represents the wire scratch influence coefficient; AOSA represents the wire scratch area; ω aodr represents the influence coefficient of steel wire depression; AODR represents the area of ​​steel wire depression; ω aoez It represents the influence coefficient of steel wire abrasion; AOEZ represents the area of ​​steel wire abrasion zone; TS represents the total area of ​​the zone.

[0073] In this embodiment, a wire wear diagnosis model is constructed to identify the surface image of the wire to obtain the wire wear characteristics, including the area of ​​the wire scratch region, the area of ​​the wire depression region and the area of ​​the wire abrasion region; and the wire wear coefficient is obtained according to the wire wear characteristics. The wire wear coefficient reflects the wear condition of the wire and lays a good data foundation for wire damage diagnosis, thereby effectively improving the accuracy of wire damage diagnosis.

[0074] S30. Construct a steel wire deformation diagnosis model, input the first steel wire diagnosis image into the steel wire deformation diagnosis model, and sequentially pass through the second input layer, deformation feature recognition layer, deformation coefficient analysis layer and second output layer of the steel wire deformation diagnosis model; the deformation feature recognition layer is used to recognize the steel wire deformation feature of the first steel wire diagnosis image, and the deformation coefficient analysis layer is used to obtain the steel wire deformation coefficient according to the steel wire deformation feature; the schematic diagram of the steel wire deformation diagnosis model is as shown in Figure 4 As shown;

[0075] Furthermore, the wire deformation diagnosis model includes a second input layer, a deformation feature recognition layer, a deformation coefficient analysis layer and a second output layer;

[0076] The second input layer is used to input the first steel wire diagnostic image into the steel wire deformation diagnostic model;

[0077] The deformation feature recognition layer is used to obtain the steel wire deformation features of the first steel wire diagnostic image through CNN; the steel wire deformation features include steel wire bending angle, steel wire length change rate, steel wire width change rate and steel wire diameter change rate;

[0078] The deformation coefficient analysis layer is used to obtain the steel wire deformation coefficient according to the steel wire deformation characteristics;

[0079] The second output layer is used to output the steel wire deformation coefficient.

[0080] Furthermore, the steel wire deformation coefficient is:

[0081] DCOSW=η1*BA+η2*|CROL|+η3*|CROW|+η4*|CROD|;

[0082] Among them, DCOSW represents the deformation coefficient of the steel wire; η1 represents the influence coefficient of the steel wire bending angle; BA represents the bending angle of the steel wire; η2 represents the influence coefficient of the steel wire length; CROL represents the change rate of the steel wire length; η3 represents the influence coefficient of the steel wire width; CROW represents the change rate of the steel wire width; η4 represents the influence coefficient of the steel wire diameter; CROD represents the change rate of the steel wire diameter.

[0083] This embodiment identifies the steel wire surface image by constructing a steel wire deformation diagnosis model to obtain steel wire deformation characteristics including the steel wire bending angle, the steel wire length change rate, the steel wire width change rate and the steel wire diameter change rate, and obtains the steel wire deformation coefficient based on the steel wire deformation characteristics. The steel wire deformation coefficient effectively explains the deformation of the steel wire surface, provides effective data support for steel wire damage diagnosis, and thus effectively improves the accuracy of steel wire damage diagnosis.

[0084] S40. A steel wire damage coefficient is obtained based on the steel wire wear coefficient and the steel wire deformation coefficient, and a steel wire damage category is obtained based on the steel wire damage coefficient and a preset steel wire damage coefficient threshold set. The steel wire damage category includes four damage categories: intact, slightly damaged, moderately damaged and severely damaged.

[0085] Furthermore, the steel wire damage coefficient is:

[0086] SWHC=ICW*WCOSW+ICD*DCOSW;

[0087] Among them, SWHC represents the steel wire damage coefficient; ICW represents the steel wire wear influence coefficient; WCOSW represents the steel wire wear coefficient; ICD represents the steel wire deformation influence coefficient; DCOSW represents the steel wire deformation coefficient.

[0088] The preset wire damage coefficient threshold set is {A1, A2, A3}; A1 represents the first damage coefficient threshold, A2 represents the second damage coefficient threshold, and A3 represents the third damage coefficient threshold; the specific judgment process of the damage category is:

[0089]

[0090] Among them, DC represents the injury category; FAP represents intact; MD represents mild injury; ML represents moderate injury; SI represents severe injury;

[0091] This embodiment analyzes the wear and deformation of the steel wire by comprehensively considering the wear and deformation of the steel wire, obtains the wear characteristics and deformation characteristics of the steel wire, and obtains the steel wire damage coefficient. The steel wire damage coefficient comprehensively analyzes the damage of the steel wire, and according to the preset steel wire damage coefficient threshold set, obtains the steel wire damage category, including four damage categories: intact, slightly damaged, moderately damaged and severely damaged. The above method effectively improves the accuracy of steel wire damage diagnosis.

[0092] This embodiment obtains the surface image of the steel wire to be diagnosed, and pre-processes to obtain the first steel wire diagnostic image, constructs a steel wire wear diagnostic model to identify the first steel wire diagnostic image, obtains the steel wire wear characteristics, and obtains the steel wire wear coefficient according to the steel wire wear characteristics; constructs a steel wire deformation diagnostic model to identify the first steel wire diagnostic image, obtains the steel wire deformation characteristics, and obtains the steel wire deformation coefficient according to the steel wire deformation characteristics; obtains the steel wire damage coefficient according to the steel wire wear coefficient and the steel wire deformation coefficient, and obtains the steel wire damage category according to the steel wire damage coefficient and the preset steel wire damage coefficient threshold set, and the steel wire damage category includes four damage categories: intact, slightly damaged, moderately damaged and severely damaged. The present invention significantly improves the accuracy of steel wire damage diagnosis by comprehensively analyzing the wear and deformation of the steel wire.

[0093] Embodiment 2

[0094] B Steel Wire Quality Inspection Company is diagnosing steel wire damage. In order to improve the accuracy of steel wire damage diagnosis, a steel wire damage diagnosis system is applied;

[0095] Reference Figure 2 , is a schematic diagram of a wire damage diagnosis system, comprising:

[0096] A steel wire image acquisition module, used to acquire a surface image of the steel wire to be diagnosed as a first steel wire image; preprocess the first steel wire image to obtain a first steel wire diagnostic image;

[0097] The wire wear diagnosis module is used to construct a wire wear diagnosis model. The first wire diagnosis image is input into the wire wear diagnosis model, and the first input layer, wear feature recognition layer, wear coefficient analysis layer and first output layer of the wire wear diagnosis model are sequentially passed through; the wear feature recognition layer is used to recognize the wire wear feature of the first wire diagnosis image, and the wear coefficient analysis layer is used to obtain the wire wear coefficient according to the wire wear feature; the schematic diagram of the wire wear diagnosis model is as shown in Figure 3 As shown;

[0098] Further, the wire wear diagnosis model includes a first input layer, a wear feature recognition layer, a wear coefficient analysis layer and a first output layer;

[0099] The first input layer is used to input the first steel wire diagnostic image into the steel wire wear diagnostic model;

[0100] The wear feature recognition layer is used to identify the scratch area, the concave area and the abrasion area of ​​the first steel wire diagnostic image through CNN to obtain the steel wire wear feature; the steel wire wear feature includes the area of ​​the steel wire scratch area, the area of ​​the steel wire concave area and the area of ​​the steel wire abrasion area;

[0101] The wear coefficient analysis layer is used to obtain the steel wire wear coefficient according to the steel wire wear characteristics;

[0102] The first output layer is used to output the steel wire wear coefficient.

[0103] Furthermore, the steel wire wear coefficient is:

[0104]

[0105] Where, WCOSW represents the wire wear coefficient; ω aosa represents the wire scratch influence coefficient; AOSA represents the wire scratch area; ω aodr represents the influence coefficient of steel wire depression; AODR represents the area of ​​steel wire depression; ω aoezIt represents the influence coefficient of steel wire abrasion; AOEZ represents the area of ​​steel wire abrasion zone; TS represents the total area of ​​the zone.

[0106] In this embodiment, a wire wear diagnosis model is constructed to identify the surface image of the wire to obtain the wire wear characteristics, including the area of ​​the wire scratch region, the area of ​​the wire depression region and the area of ​​the wire abrasion region; and the wire wear coefficient is obtained according to the wire wear characteristics. The wire wear coefficient reflects the wear condition of the wire and lays a good data foundation for wire damage diagnosis, thereby effectively improving the accuracy of wire damage diagnosis.

[0107] The steel wire deformation diagnosis module is used to construct a steel wire deformation diagnosis model. The first steel wire diagnosis image is input into the steel wire deformation diagnosis model, and sequentially passes through the second input layer, deformation feature recognition layer, deformation coefficient analysis layer and second output layer of the steel wire deformation diagnosis model; the deformation feature recognition layer is used to recognize the steel wire deformation feature of the first steel wire diagnosis image, and the deformation coefficient analysis layer is used to obtain the steel wire deformation coefficient according to the steel wire deformation feature; the schematic diagram of the steel wire deformation diagnosis model is shown in Figure 4 As shown;

[0108] Furthermore, the wire deformation diagnosis model includes a second input layer, a deformation feature recognition layer, a deformation coefficient analysis layer and a second output layer;

[0109] The second input layer is used to input the first steel wire diagnostic image into the steel wire deformation diagnostic model;

[0110] The deformation feature recognition layer is used to obtain the steel wire deformation features of the first steel wire diagnostic image through CNN; the steel wire deformation features include steel wire bending angle, steel wire length change rate, steel wire width change rate and steel wire diameter change rate;

[0111] The deformation coefficient analysis layer is used to obtain the steel wire deformation coefficient according to the steel wire deformation characteristics;

[0112] The second output layer is used to output the steel wire deformation coefficient.

[0113] Furthermore, the steel wire deformation coefficient is:

[0114] DCOSW=η1*BA+η2*|CROL|+η3*|CROW|+η4*|CROD|;

[0115] Among them, DCOSW represents the deformation coefficient of the steel wire; η1 represents the influence coefficient of the steel wire bending angle; BA represents the bending angle of the steel wire; η2 represents the influence coefficient of the steel wire length; CROL represents the change rate of the steel wire length; η3 represents the influence coefficient of the steel wire width; CROW represents the change rate of the steel wire width; η4 represents the influence coefficient of the steel wire diameter; CROD represents the change rate of the steel wire diameter.

[0116] This embodiment identifies the steel wire surface image by constructing a steel wire deformation diagnosis model to obtain steel wire deformation characteristics including the steel wire bending angle, the steel wire length change rate, the steel wire width change rate and the steel wire diameter change rate, and obtains the steel wire deformation coefficient based on the steel wire deformation characteristics. The steel wire deformation coefficient effectively explains the deformation of the steel wire surface, provides effective data support for steel wire damage diagnosis, and thus effectively improves the accuracy of steel wire damage diagnosis.

[0117] The steel wire comprehensive damage diagnosis module is used to obtain the steel wire damage coefficient according to the steel wire wear coefficient and the steel wire deformation coefficient, and to obtain the steel wire damage category according to the steel wire damage coefficient and a preset steel wire damage coefficient threshold set. The steel wire damage category includes four damage categories: intact, slightly damaged, moderately damaged and severely damaged.

[0118] Furthermore, the steel wire damage coefficient is:

[0119] SWHC=ICW*WCOSW+ICD*DCOSW;

[0120] Among them, SWHC represents the steel wire damage coefficient; ICW represents the steel wire wear influence coefficient; WCOSW represents the steel wire wear coefficient; ICD represents the steel wire deformation influence coefficient; DCOSW represents the steel wire deformation coefficient.

[0121] The preset wire damage coefficient threshold set is {A1, A2, A3}; A1 represents the first damage coefficient threshold, A2 represents the second damage coefficient threshold, and A3 represents the third damage coefficient threshold; the specific judgment process of the damage category is:

[0122]

[0123] Among them, DC represents the injury category; FAP represents intact; MD represents mild injury; ML represents moderate injury; SI represents severe injury;

[0124] This embodiment analyzes the wear and deformation of the steel wire by comprehensively considering the wear and deformation of the steel wire, obtains the wear characteristics and deformation characteristics of the steel wire, and obtains the steel wire damage coefficient. The steel wire damage coefficient comprehensively analyzes the damage of the steel wire, and according to the preset steel wire damage coefficient threshold set, obtains the steel wire damage category, including four damage categories: intact, slightly damaged, moderately damaged and severely damaged. The above method effectively improves the accuracy of steel wire damage diagnosis.

[0125] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for diagnosing steel wire damage, characterized in that: include: S10. Acquire a surface image of the steel wire to be diagnosed as a first steel wire image; preprocessing the first steel wire image to obtain a first steel wire diagnostic image; S20. Construct a steel wire wear diagnosis model, input the first steel wire diagnosis image into the steel wire wear diagnosis model, and sequentially pass through the first input layer, wear feature recognition layer, wear coefficient analysis layer and first output layer of the steel wire wear diagnosis model; the wear feature recognition layer is used to recognize the steel wire wear feature of the first steel wire diagnosis image, and the wear coefficient analysis layer is used to obtain the steel wire wear coefficient according to the steel wire wear feature; S30. Constructing a steel wire deformation diagnosis model, inputting the first steel wire diagnosis image into the steel wire deformation diagnosis model, and sequentially passing through the second input layer, deformation feature recognition layer, deformation coefficient analysis layer and second output layer of the steel wire deformation diagnosis model; the deformation feature recognition layer is used to recognize the steel wire deformation feature of the first steel wire diagnosis image, and the deformation coefficient analysis layer is used to obtain the steel wire deformation coefficient according to the steel wire deformation feature; S40. A steel wire damage coefficient is obtained based on the steel wire wear coefficient and the steel wire deformation coefficient, and a steel wire damage category is obtained based on the steel wire damage coefficient and a preset steel wire damage coefficient threshold set. The steel wire damage category includes four damage categories: intact, slightly damaged, moderately damaged and severely damaged.

2. A wire damage diagnosis method according to claim 1, characterized in that: The wire wear diagnosis model comprises a first input layer, a wear feature recognition layer, a wear coefficient analysis layer and a first output layer; The first input layer is used to input the first steel wire diagnostic image into the steel wire wear diagnostic model; The wear feature recognition layer is used to identify the scratch area, the concave area and the abrasion area of ​​the first steel wire diagnostic image through CNN to obtain the steel wire wear feature; the steel wire wear feature includes the area of ​​the steel wire scratch area, the area of ​​the steel wire concave area and the area of ​​the steel wire abrasion area; The wear coefficient analysis layer is used to obtain the steel wire wear coefficient according to the steel wire wear characteristics; The first output layer is used to output the steel wire wear coefficient.

3. A wire damage diagnosis method according to claim 1, characterized in that: The steel wire wear coefficient is: Where, WCOSW represents the wire wear coefficient; ω aosa represents the wire scratch influence coefficient; AOSA represents the wire scratch area; ω aodr represents the influence coefficient of steel wire depression; AODR represents the area of ​​steel wire depression; ω aoez It represents the influence coefficient of steel wire abrasion; AOEZ represents the area of ​​steel wire abrasion zone; TS represents the total area of ​​the zone.

4. A wire damage diagnosis method according to claim 1, characterized in that: The wire deformation diagnosis model includes a second input layer, a deformation feature recognition layer, a deformation coefficient analysis layer and a second output layer; The second input layer is used to input the first steel wire diagnostic image into the steel wire deformation diagnostic model; The deformation feature recognition layer is used to obtain the steel wire deformation features of the first steel wire diagnostic image through CNN; the steel wire deformation features include steel wire bending angle, steel wire length change rate, steel wire width change rate and steel wire diameter change rate; The deformation coefficient analysis layer is used to obtain the steel wire deformation coefficient according to the steel wire deformation characteristics; The second output layer is used to output the steel wire deformation coefficient.

5. A wire damage diagnosis method according to claim 1, characterized in that: The steel wire deformation coefficient: DCOSW=η1*BA+η2*|CROL|+η3*|CROW|+η4*|CROD|; Among them, DCOSW represents the deformation coefficient of the steel wire; η1 represents the influence coefficient of the steel wire bending angle; BA represents the bending angle of the steel wire; η2 represents the influence coefficient of the steel wire length; CROL represents the change rate of the steel wire length; η3 represents the influence coefficient of the steel wire width; CROW represents the change rate of the steel wire width; η4 represents the influence coefficient of the steel wire diameter; CROD represents the change rate of the steel wire diameter.

6. A wire damage diagnosis method according to claim 1, characterized in that: The steel wire damage coefficient is: SWHC=ICW*WCOSW+ICD*DCOSW; Among them, SWHC represents the steel wire damage coefficient; ICW represents the steel wire wear influence coefficient; WCOSW represents the steel wire wear coefficient; ICD represents the steel wire deformation influence coefficient; DCOSW represents the steel wire deformation coefficient.

7. A wire damage diagnosis system, characterized in that: include: A steel wire image acquisition module, used to acquire a surface image of the steel wire to be diagnosed as a first steel wire image; preprocess the first steel wire image to obtain a first steel wire diagnostic image; A wire wear diagnosis module, used to construct a wire wear diagnosis model, input the first wire diagnosis image into the wire wear diagnosis model, and sequentially pass through the first input layer, wear feature recognition layer, wear coefficient analysis layer and first output layer of the wire wear diagnosis model; the wear feature recognition layer is used to recognize the wire wear feature of the first wire diagnosis image, and the wear coefficient analysis layer is used to obtain the wire wear coefficient according to the wire wear feature; A steel wire deformation diagnosis module, used to construct a steel wire deformation diagnosis model, input the first steel wire diagnosis image into the steel wire deformation diagnosis model, and sequentially pass through the second input layer, deformation feature recognition layer, deformation coefficient analysis layer and second output layer of the steel wire deformation diagnosis model; the deformation feature recognition layer is used to recognize the steel wire deformation feature of the first steel wire diagnosis image, and the deformation coefficient analysis layer is used to obtain the steel wire deformation coefficient according to the steel wire deformation feature; The steel wire comprehensive damage diagnosis module is used to obtain the steel wire damage coefficient according to the steel wire wear coefficient and the steel wire deformation coefficient, and to obtain the steel wire damage category according to the steel wire damage coefficient and a preset steel wire damage coefficient threshold set. The steel wire damage category includes four damage categories: intact, slightly damaged, moderately damaged and severely damaged.

8. A wire damage diagnosis system according to claim 7, characterized in that: The wire wear diagnosis model comprises a first input layer, a wear feature recognition layer, a wear coefficient analysis layer and a first output layer; The first input layer is used to input the first steel wire diagnostic image into the steel wire wear diagnostic model; The wear feature recognition layer is used to identify the scratch area, the concave area and the abrasion area of ​​the first steel wire diagnostic image through CNN to obtain the steel wire wear feature; the steel wire wear feature includes the area of ​​the steel wire scratch area, the area of ​​the steel wire concave area and the area of ​​the steel wire abrasion area; The wear coefficient analysis layer is used to obtain the steel wire wear coefficient according to the steel wire wear characteristics; The first output layer is used to output the steel wire wear coefficient.

9. A wire damage diagnosis system according to claim 7, characterized in that: The wire deformation diagnosis model includes a second input layer, a deformation feature recognition layer, a deformation coefficient analysis layer and a second output layer; The second input layer is used to input the first steel wire diagnostic image into the steel wire deformation diagnostic model; The deformation feature recognition layer is used to obtain the steel wire deformation features of the first steel wire diagnostic image through CNN; the steel wire deformation features include steel wire bending angle, steel wire length change rate, steel wire width change rate and steel wire diameter change rate; The deformation coefficient analysis layer is used to obtain the steel wire deformation coefficient according to the steel wire deformation characteristics; The second output layer is used to output the steel wire deformation coefficient.

10. A wire damage diagnosis system according to claim 7, characterized in that: The steel wire damage coefficient is: SWHC=ICW*WCOSW+ICD*DCOSW; Among them, SWHC represents the steel wire damage coefficient; ICW represents the steel wire wear influence coefficient; WCOSW represents the steel wire wear coefficient; ICD represents the steel wire deformation influence coefficient; DCOSW represents the steel wire deformation coefficient.

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