Cable corrosion degree detection method and system based on spectral characteristics

Abstract

The embodiment of the invention discloses a cable corrosion degree detection method and system based on spectral characteristics, and the method comprises the steps: obtaining the currently collected spectral characteristic data of a cable sheath and the pre-stored inherent spectral characteristic data of the cable sheath, comparing the spectral characteristic data with the inherent spectral characteristic data to obtain spectral position movement data and spectral intensity change data, and determining whether the spectral position movement data and the spectral intensity change data meet preset corrosion conditions or not; and under the condition that the spectral position movement data and the spectral intensity change data meet preset corrosion conditions, determining the corrosion degree of the cable sheath based on the spectral position movement data and the spectral intensity change data. According to the scheme, the corrosion condition of the cable is judged by analyzing the spectral characteristic change of the cable surface material, and the cable corrosion detection efficiency can be improved.

Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of cable detection, and in particular, to a method and system for detecting the corrosion degree of a cable based on spectral characteristics. Background Art

[0002] A cable is a device composed of one or more wires, with the characteristics of internal power conduction and external insulation. As an important part of the power system, it undertakes the tasks of power transmission and distribution. The stable operation of the cable is crucial for the safety, efficiency, and reliability of the power system. For a cable, factors such as corrosive chemical substances, moisture, humidity, and temperature in its external environment may cause corrosion of the cable. Cable corrosion will bring a series of negative impacts, such as a decrease in electrical performance, an increase in the risk of fire, and cable failures, thereby affecting the stable operation of the cable and unable to ensure the safety of the power system. Therefore, it is very necessary to detect the corrosion situation of the cable.

[0003] In the related art, most detections of the corrosion degree of a cable are achieved by monitoring the numerical changes of the operating parameters of the cable. However, this method has a low detection accuracy for the corrosion degree of the cable, resulting in the inability to repair the cable in time and affecting the safe operation of the power system. Summary of the Invention

[0004] The embodiments of the present application provide a method and system for detecting the corrosion degree of a cable based on spectral characteristics, which solve the problem in the prior art that the detection accuracy of the corrosion degree of a cable is low, resulting in the inability to repair the cable in time and affecting the safe operation of the power system. It can judge the corrosion situation of the cable by analyzing the changes in the spectral characteristics of the cable surface material, and improve the efficiency of cable corrosion detection.

[0005] In a first aspect, the embodiments of the present application provide a method for detecting the corrosion degree of a cable based on spectral characteristics, including:

[0006] Obtain the spectral characteristic data of the current cable outer sheath collected and the inherent spectral characteristic data of the cable outer sheath stored in advance;

[0007] Compare the spectral characteristic data with the inherent spectral characteristic data to obtain spectral position shift data and spectral intensity change data;

[0008] Determine whether the spectral position shift data and the spectral intensity change data meet the preset corrosion conditions;

[0009] When the spectral position shift data and the spectral intensity change data meet the preset corrosion conditions, determine the corrosion degree of the cable outer sheath based on the spectral position shift data and the spectral intensity change data.

[0010] Optionally, the spectral characteristic data includes visible light absorption peak wavenumber, visible light reflectivity, infrared light absorption peak wavenumber, and infrared light reflectivity. The inherent spectral characteristic data includes inherent visible light absorption peak wavenumber, inherent visible light reflectivity, inherent infrared light absorption peak wavenumber, and inherent infrared light reflectivity. The comparing the spectral characteristic data with the inherent spectral characteristic data to obtain spectral position shift data and spectral intensity change data includes:

[0011] Calculating a first wavenumber difference between the visible light absorption peak wavenumber and the inherent visible light absorption peak wavenumber, and a second wavenumber difference between the infrared light absorption peak wavenumber and the inherent infrared light absorption peak wavenumber respectively, and determining the first wavenumber difference and the second wavenumber difference as the spectral position shift data;

[0012] Calculating a first reflectivity difference between the visible light reflectivity and the inherent visible light reflectivity, and a second reflectivity difference between the infrared light reflectivity and the inherent infrared light reflectivity respectively, and determining a first change direction of the visible light reflectivity and a second change direction of the infrared light reflectivity;

[0013] Determining the first reflectivity difference, the first change direction, the second reflectivity difference, and the second change direction as the spectral intensity change data.

[0014] Optionally, the spectral position shift data includes a visible light absorption peak wavenumber change value and an infrared light absorption peak wavenumber change value. The spectral intensity change data includes a visible light reflectivity change value, a visible light reflectivity change direction, an infrared light reflectivity change value, and an infrared light reflectivity change direction. Determining whether the spectral position shift data and the spectral intensity change data meet a preset corrosion condition includes:

[0015] Comparing the visible light absorption peak wavenumber change value and the infrared light absorption peak wavenumber change value with corresponding standard wavenumber change values respectively to obtain a first comparison result, and comparing the visible light reflectivity change value and the infrared light reflectivity change value with corresponding standard reflectivity change values respectively to obtain a second comparison result;

[0016] Determining whether the preset corrosion condition is met according to the first comparison result, the second comparison result, the visible light reflectivity change direction, and the infrared light reflectivity change direction.

[0017] Optionally, the determining whether the preset corrosion condition is met according to the first comparison result, the second comparison result, the visible light reflectivity change direction, and the infrared light reflectivity change direction includes:

[0018] When both the change value of the visible light absorption peak wavenumber and the change value of the infrared light absorption peak wavenumber are greater than the corresponding standard wavenumber change values, and both the change value of the visible light reflectivity and the change value of the infrared light reflectivity are greater than the corresponding standard reflectivity change values, if both the change direction of the visible light reflectivity and the change direction of the infrared light reflectivity are decreasing directions, it is determined that the preset corrosion condition is satisfied; otherwise, it is determined that the preset corrosion condition is not satisfied.

[0019] Optionally, the spectral position shift data includes the change value of the visible light absorption peak wavenumber and the change value of the infrared light absorption peak wavenumber, and the spectral intensity change data includes the change value of the visible light reflectivity and the change value of the infrared light reflectivity. Determining the corrosion degree of the cable outer sheath based on the spectral position shift data and the spectral intensity change data includes:

[0020] Performing calculation processing based on the change value of the visible light absorption peak wavenumber and the change value of the visible light reflectivity to obtain the visible light evaluation corrosion degree, and performing calculation processing based on the change value of the infrared light absorption peak wavenumber and the change value of the infrared light reflectivity to obtain the infrared light evaluation corrosion degree;

[0021] Determining the corrosion degree of the cable outer sheath based on the visible light evaluation corrosion degree and the infrared light evaluation corrosion degree.

[0022] Optionally, determining the corrosion degree of the cable outer sheath based on the visible light evaluation corrosion degree and the infrared light evaluation corrosion degree includes:

[0023] Multiplying the visible light evaluation corrosion degree and the infrared light evaluation corrosion degree by the corresponding preset weights respectively and adding them up to obtain the corrosion degree of the cable outer sheath.

[0024] Optionally, the spectral position shift data includes the change value of the visible light absorption peak wavenumber and the change value of the infrared light absorption peak wavenumber, and the spectral intensity change data includes the change value of the visible light reflectivity and the change value of the infrared light reflectivity. Determining the corrosion degree of the cable outer sheath based on the spectral position shift data and the spectral intensity change data includes:

[0025] Respectively querying the corrosion degree to be calculated corresponding to the change value of the visible light absorption peak wavenumber, the change value of the infrared light absorption peak wavenumber, the change value of the visible light reflectivity, and the change value of the infrared light reflectivity;

[0026] Substituting each corrosion degree to be calculated into a preset comprehensive corrosion degree calculation formula to obtain the corrosion degree of the cable outer sheath.

[0027] In a second aspect, an embodiment of the present application further provides a cable corrosion degree detection device based on spectral characteristics, including:

[0028] An acquisition module, configured to acquire the spectral feature data of the currently collected cable outer sheath and the inherent spectral feature data of the cable outer sheath stored in advance;

[0029] A comparison processing module, configured to perform comparison processing on the spectral feature data and the inherent spectral feature data to obtain spectral position shift data and spectral intensity change data;

[0030] A judgment module, configured to determine whether the spectral position shift data and the spectral intensity change data meet a preset corrosion condition;

[0031] A corrosion degree determination module, configured to determine the corrosion degree of the cable outer sheath based on the spectral position shift data and the spectral intensity change data when the spectral position shift data and the spectral intensity change data meet the preset corrosion condition.

[0032] In a third aspect, an embodiment of the present application further provides a cable corrosion degree detection device based on spectral features, and the device includes:

[0033] One or more processors;

[0034] A storage device, configured to store one or more programs,

[0035] When the one or more programs are executed by the one or more processors, the one or more processors implement the cable corrosion degree detection method based on spectral features according to the embodiment of the present application.

[0036] In a fourth aspect, an embodiment of the present application further provides a storage medium storing computer-executable instructions, and the computer-executable instructions are used to execute the cable corrosion degree detection method based on spectral features according to the embodiment of the present application when executed by a computer processor.

[0037] In the embodiment of the present application, the spectral feature data of the currently collected cable outer sheath and the inherent spectral feature data of the cable outer sheath stored in advance are acquired, the spectral feature data and the inherent spectral feature data are compared and processed to obtain spectral position shift data and spectral intensity change data, it is determined whether the spectral position shift data and the spectral intensity change data meet the preset corrosion condition, and when the spectral position shift data and the spectral intensity change data meet the preset corrosion condition, the corrosion degree of the cable outer sheath is determined based on the spectral position shift data and the spectral intensity change data. This solution determines the corrosion condition of the cable by analyzing the change in the spectral characteristics of the cable surface material, solves the problem in the prior art that the detection accuracy of the cable corrosion degree is low, resulting in the inability to repair the cable in time and affecting the safe operation of the power system, and can improve the efficiency of cable corrosion detection. Description of the Drawings

[0038] Figure 1 It is a flowchart of a method for detecting the corrosion degree of a cable based on spectral features provided by an embodiment of the present application;

[0039] Figure 2 It is a flowchart of another method for detecting the corrosion degree of a cable based on spectral features provided by an embodiment of the present application;

[0040] Figure 3 It is a flowchart of another method for detecting the corrosion degree of a cable based on spectral features provided by an embodiment of the present application;

[0041] Figure 4 It is a flowchart of another method for detecting the corrosion degree of a cable based on spectral features provided by an embodiment of the present application;

[0042] Figure 5 It is a block diagram of the module structure of a device for detecting the corrosion degree of a cable based on spectral features provided by an embodiment of the present application;

[0043] Figure 6 It is a schematic diagram of the structure of a device for detecting the corrosion degree of a cable based on spectral features provided by an embodiment of the present application. Detailed Embodiments

[0044] The following further describes the embodiments of the present application in detail with reference to the drawings and embodiments. It can be understood that the specific embodiments described herein are only used to explain the embodiments of the present application, rather than limiting the embodiments of the present application. Additionally, it should be noted that for the sake of description, only parts related to the embodiments of the present application are shown in the drawings, rather than all the structures.

[0045] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. are usually of the same type, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "and / or" in the specification and claims means at least one of the connected objects, and the character "or" generally represents an "or" relationship between the associated objects before and after.

[0046] The cable corrosion degree detection method based on spectral features provided by the embodiments of the present application can be applied to corrosion detection scenarios of cables of various types, such as tinned copper mesh shielded cables, polyether-type PUR corrosion-resistant cables, silicone rubber cables, etc. In the cable corrosion degree detection method based on spectral features provided by the embodiments of the present application, the execution subject of each step can be a computer device, which refers to any electronic device with data calculation, processing, and storage capabilities, such as terminal devices like mobile phones, PCs (Personal Computers), and tablet computers, or devices such as servers. The embodiments of the present application do not limit this.

[0047] Figure 1 It is a flowchart of a cable corrosion degree detection method based on spectral features provided by the embodiments of the present application, as Figure 1 shown, and specifically includes:

[0048] Step S101: Obtain the spectral feature data of the current cable outer sheath collected and the inherent spectral feature data of the cable outer sheath stored in advance, and perform comparison processing on the spectral feature data and the inherent spectral feature data to obtain spectral position shift data and spectral intensity change data.

[0049] Among them, the spectral feature data can be relevant data on the absorption, reflection, etc. of the cable outer sheath at different wavelengths. The inherent spectral feature data can be the original spectral feature data of the cable outer sheath collected in advance when it is not in use. By performing comparison processing between the spectral feature data and the inherent spectral feature data, spectral position shift data and spectral intensity change data can be obtained. The spectral position shift data is used to characterize the relevant data on the position shift of the spectrum of the currently collected cable outer sheath relative to the inherent spectrum of the cable outer sheath stored in advance. The spectral intensity change data is used to characterize the relevant data on the intensity change of the spectrum of the currently collected cable outer sheath relative to the inherent spectrum of the cable outer sheath stored in advance.

[0050] Optionally, the spectral characteristic data includes visible light absorption peak frequency, visible light reflectivity, infrared light absorption peak frequency, and infrared light reflectivity. The inherent spectral characteristic data includes inherent visible light absorption peak frequency, inherent visible light reflectivity, inherent infrared light absorption peak frequency, and inherent infrared light reflectivity. A method for determining a spectral position shift data and a spectral intensity change data may be to calculate a first frequency difference between the visible light absorption peak frequency and the inherent visible light absorption peak frequency and a second frequency difference between the infrared light absorption peak frequency and the inherent infrared light absorption peak frequency respectively, and determine the first frequency difference and the second frequency difference as the spectral position shift data. Calculate a first reflectivity difference between the visible light reflectivity and the inherent visible light reflectivity and a second reflectivity difference between the infrared light reflectivity and the inherent infrared light reflectivity respectively, and determine a first change direction of the visible light reflectivity and a second change direction of the infrared light reflectivity, and determine the first reflectivity difference, the first change direction, the second reflectivity difference, and the second change direction as the spectral intensity change data.

[0051] Step S102, determine whether the spectral position shift data and the spectral intensity change data meet a preset corrosion condition.

[0052] Among them, the preset corrosion condition is a condition preset for judging whether the spectral position shift data and the spectral intensity change data meet the condition that the cable outer skin has corrosion. Optionally, the spectral position shift data includes a visible light absorption peak frequency change value and an infrared light absorption peak frequency change value, and the spectral intensity change data includes a visible light reflectivity change value and an infrared light reflectivity change value. Among them, the visible light reflectivity change value and the infrared light reflectivity change value include positive and negative values. A determination method may be to compare the visible light absorption peak frequency change value and the infrared light absorption peak frequency change value with the corresponding standard frequency change values respectively, and compare the visible light reflectivity change value and the infrared light reflectivity change value with the corresponding standard reflectivity change values respectively. When both the visible light absorption peak frequency change value and the infrared light absorption peak frequency change value are greater than the corresponding standard frequency change values and both the visible light absorption peak frequency change value and the infrared light absorption peak frequency change value are greater than the corresponding standard frequency change values, it is determined that the preset corrosion condition is met; otherwise, it is determined that the preset corrosion condition is not met.

[0053] Step S103, when the spectral position shift data and the spectral intensity change data meet the preset corrosion condition, determine the corrosion degree of the cable outer skin based on the spectral position shift data and the spectral intensity change data.

[0054] Among them, after determining that the preset corrosion conditions are met, the corrosion degree of the cable outer sheath can be determined by using the spectral position shift data and the spectral intensity change data. The corrosion degree can be the degree of damage exhibited by the cable outer sheath material after being corroded. Optionally, the spectral position shift data includes the change value of the visible light absorption peak wavenumber and the change value of the infrared light absorption peak wavenumber, and the spectral intensity change data includes the change value of the visible light reflectivity and the change value of the infrared light reflectivity. A method for determining the corrosion degree of a cable outer sheath can be to respectively query the corrosion degree to be calculated corresponding to the change value of the visible light absorption peak wavenumber, the change value of the infrared light absorption peak wavenumber, the change value of the visible light reflectivity, and the change value of the infrared light reflectivity, and substitute each corrosion degree to be calculated into the preset comprehensive corrosion degree calculation formula to obtain the corrosion degree of the cable outer sheath. An exemplary example can be that the corrosion degree to be calculated 1 corresponding to the change value of the visible light absorption peak wavenumber is queried as 40%, the corrosion degree to be calculated 2 corresponding to the change value of the infrared light absorption peak wavenumber is 20%, the corrosion degree to be calculated 3 corresponding to the change value of the visible light reflectivity is 30%, and the corrosion degree to be calculated 4 corresponding to the change value of the infrared light reflectivity is 25%. The preset comprehensive corrosion degree calculation formula is 0.3 * corrosion degree to be calculated 1 + 0.1 * corrosion degree to be calculated 2 + 0.4 * corrosion degree to be calculated 3 + 0.2 * corrosion degree to be calculated 4, where 0.3, 0.1, 0.4, and 0.2 are weight values respectively. Substituting each corrosion degree to be calculated into the preset comprehensive corrosion degree calculation formula, the corrosion degree of the cable outer sheath is obtained as 31%.

[0055] In another embodiment, a method for determining the corrosion degree of a cable outer sheath can be to input the spectral position shift data and the spectral intensity change data into a trained corrosion degree evaluation model to obtain the corrosion degree of the cable outer sheath. The corrosion degree evaluation model can be trained by using the sample spectral position shift data and the sample spectral intensity change data as input data and the corresponding sample corrosion degree as output data. Determining the corrosion degree of the cable outer sheath through the spectral position shift data and the spectral intensity change data can achieve high-efficiency cable corrosion monitoring and improve the accuracy of the corrosion degree.

[0056] As described above, obtain the spectral characteristic data of the cable outer sheath collected currently and the inherent spectral characteristic data of the cable outer sheath stored in advance, compare and process the spectral characteristic data with the inherent spectral characteristic data to obtain spectral position shift data and spectral intensity change data, determine whether the spectral position shift data and the spectral intensity change data meet the preset corrosion conditions, and based on the spectral position shift data and the spectral intensity change data, determine the corrosion degree of the cable outer sheath when the spectral position shift data and the spectral intensity change data meet the preset corrosion conditions. This solution determines the corrosion condition of the cable by analyzing the change in the spectral characteristics of the cable surface material, solves the problem in the prior art that the detection accuracy of the corrosion degree of the cable is relatively low, resulting in the inability to repair the cable in time and affecting the safe operation of the power system, and can improve the efficiency of cable corrosion detection.

[0057] Figure 2 FIG. is a flowchart of another method for detecting the corrosion degree of a cable based on spectral characteristics provided by an embodiment of the present application, which gives an optional specific method for determining the spectral position shift data and the spectral intensity change data, as Figure 2 shown, and specifically includes:

[0058] Step S201, obtain the spectral characteristic data of the cable outer sheath collected currently and the inherent spectral characteristic data of the cable outer sheath stored in advance.

[0059] Step S202, respectively calculate a first wave number difference between the wave number of the visible light absorption peak and the wave number of the inherent visible light absorption peak and a second wave number difference between the wave number of the infrared light absorption peak and the wave number of the inherent infrared light absorption peak, and determine the first wave number difference and the second wave number difference as the spectral position shift data.

[0060] Among them, the spectral feature data includes the visible light absorption peak wavenumber, visible light reflectivity, infrared light absorption peak wavenumber, and infrared light reflectivity. The inherent spectral feature data includes the inherent visible light absorption peak wavenumber, inherent visible light reflectivity, inherent infrared light absorption peak wavenumber, and inherent infrared light reflectivity. The visible light absorption peak wavenumber refers to the wavenumber value corresponding to the energy transition when the current cable outer sheath absorbs electromagnetic radiation in the visible light region. The infrared light absorption peak wavenumber refers to the wavenumber value corresponding to the energy transition when the current cable outer sheath absorbs electromagnetic radiation in the infrared light region. The visible light reflectivity refers to the percentage of the visible light intensity reflected by the cable surface to the incident light intensity within the visible light spectrum range (380 nanometers to 780 nanometers). The infrared light reflectivity refers to the reflection ability of the cable outer sheath to the incident light in the infrared band, that is, the ratio of the intensity of the reflected light to the intensity of the incident light. An exemplary example can be that the visible light absorption peak wavenumber is 14000 cm^-1, the inherent visible light absorption peak wavenumber is 12500 cm^-1, the infrared light absorption peak wavenumber is 3000 cm^-1, the inherent infrared light absorption peak wavenumber is 2400 cm^-1. The first wavenumber difference between the visible light absorption peak wavenumber and the inherent visible light absorption peak wavenumber is calculated to be 1500 cm^-1, and the second wavenumber difference between the infrared light absorption peak wavenumber and the inherent infrared light absorption peak wavenumber is 600 cm^-1. Then, the first wavenumber difference of 1500 cm^-1 and the second wavenumber difference of 600 cm^-1 are determined as the spectral position shift data.

[0061] Step S203: Calculate the first reflectivity difference between the visible light reflectivity and the inherent visible light reflectivity and the second reflectivity difference between the infrared light reflectivity and the inherent infrared light reflectivity respectively, and determine the first change direction of the visible light reflectivity and the second change direction of the infrared light reflectivity. Determine the first reflectivity difference, the first change direction, the second reflectivity difference, and the second change direction as the spectral intensity change data.

[0062] Among them, when the first reflectivity difference between the visible light reflectivity and the inherent visible light reflectivity and the second reflectivity difference between the infrared light reflectivity and the inherent infrared light reflectivity are calculated, the first change direction of the visible light reflectivity and the second change direction of the infrared light reflectivity can be determined. The first change direction is used to characterize the change direction of the visible light reflectivity relative to the inherent visible light reflectivity. The second change direction is used to characterize the change direction of the infrared light reflectivity relative to the inherent infrared light reflectivity. The spectral intensity change data can be determined by using the first reflectivity difference, the first change direction, the second reflectivity difference, and the second change direction. An exemplary example can be that the visible light reflectivity is 60%, the inherent visible light reflectivity is 80%, the infrared light reflectivity is 40%, the inherent infrared light reflectivity is 50%, the calculated first reflectivity difference between the visible light reflectivity and the inherent visible light reflectivity is 20%, and the second reflectivity difference between the infrared light reflectivity and the inherent infrared light reflectivity is 10%. Then, both the first change direction of the visible light reflectivity and the second change direction of the infrared light reflectivity are the decreasing directions. The first reflectivity difference of 20%, the first change direction of the decreasing direction, the second reflectivity difference of 10%, and the second change direction of the decreasing direction are determined as the spectral intensity change data.

[0063] Step S204, determine whether the spectral position shift data and the spectral intensity change data meet a preset corrosion condition.

[0064] Step S205, when the spectral position shift data and the spectral intensity change data meet the preset corrosion condition, determine the corrosion degree of the cable outer sheath based on the spectral position shift data and the spectral intensity change data.

[0065] As can be seen from the above, after obtaining the spectral characteristic data of the currently collected cable outer sheath and the inherent spectral characteristic data of the cable outer sheath stored in advance, calculate the first wave number difference between the visible light absorption peak wave number and the inherent visible light absorption peak wave number and the second wave number difference between the infrared light absorption peak wave number and the inherent infrared light absorption peak wave number respectively, and determine the first wave number difference and the second wave number difference as the spectral position shift data. Calculate the first reflectivity difference between the visible light reflectivity and the inherent visible light reflectivity and the second reflectivity difference between the infrared light reflectivity and the inherent infrared light reflectivity respectively, and determine the first change direction of the visible light reflectivity and the second change direction of the infrared light reflectivity. Determine the first reflectivity difference, the first change direction, the second reflectivity difference, and the second change direction as the spectral intensity change data. This solution can determine the spectral position shift data and the spectral intensity change data by using the obtained spectral characteristic data and the inherent spectral characteristic data, and can judge the change situation of the spectrum of the cable outer sheath to determine the corrosion situation of the cable outer sheath, improving the efficiency of cable corrosion detection.

[0066] Figure 3 This is a flowchart of another method for detecting the corrosion degree of a cable based on spectral characteristics provided by an embodiment of the present application, which gives an optional specific way to determine whether a preset corrosion condition is met. For example Figure 3 As shown, it specifically includes:

[0067] Step S301: Obtain the spectral characteristic data of the cable outer sheath collected currently and the inherent spectral characteristic data of the cable outer sheath stored in advance, and perform a comparison process on the spectral characteristic data and the inherent spectral characteristic data to obtain spectral position shift data and spectral intensity change data.

[0068] Step S302: Compare the visible light absorption peak wavenumber change value and the infrared light absorption peak wavenumber change value with the corresponding standard wavenumber change values respectively to obtain a first comparison result, and compare the visible light reflectance change value and the infrared light reflectance change value with the corresponding standard reflectance change values respectively to obtain a second comparison result.

[0069] Among them, the spectral position shift data includes the visible light absorption peak wavenumber change value and the infrared light absorption peak wavenumber change value. The visible light absorption peak wavenumber change value is used to represent the change value of the visible light absorption peak wavenumber relative to the inherent visible light absorption peak wavenumber, and the infrared light absorption peak wavenumber change value is used to represent the change value of the infrared light absorption peak wavenumber relative to the inherent infrared light absorption peak wavenumber. The spectral intensity change data includes the visible light reflectance change value, the visible light reflectance change direction, the infrared light reflectance change value, and the infrared light reflectance change direction. The visible light reflectance change value is the change value of the visible light reflectance relative to the inherent visible light reflectance, and the infrared light reflectance change value is the change value of the infrared light reflectance relative to the inherent infrared light reflectance.

[0070] An exemplary example can be that the visible light absorption peak wavenumber change value is 1500 cm^-1, the corresponding standard wavenumber change value is 1000 cm^-1, the infrared light absorption peak wavenumber change value is 600 cm^-1, and the corresponding standard wavenumber change value is 500 cm^-1. After comparison, the first comparison result is that both the visible light absorption peak wavenumber change value and the infrared light absorption peak wavenumber change value are greater than the corresponding standard wavenumber change values. The visible light reflectance change value is 30%, the corresponding standard reflectance change value is 15%, the infrared light reflectance change value is 20%, and the corresponding standard reflectance change value is 10%. After comparison, the first comparison result is that both the visible light reflectance change value and the infrared light reflectance change value are greater than the corresponding standard reflectance change values.

[0071] Step S303: Determine whether the preset corrosion condition is met according to the first comparison result, the second comparison result, the visible light reflectance change direction, and the infrared light reflectance change direction.

[0072] Among them, the change direction of the visible light reflectivity is used to characterize the change direction of the visible light reflectivity relative to the inherent visible light reflectivity, and the change direction of the infrared light reflectivity is used to characterize the change direction of the infrared light reflectivity relative to the infrared light reflectivity. Optionally, a judgment method may be that when the change value of the visible light absorption peak wavenumber and the change value of the infrared light absorption peak wavenumber are both greater than the corresponding standard wavenumber change value, and the change value of the visible light reflectivity and the change value of the infrared light reflectivity are both greater than the corresponding standard reflectivity change value, if both the change direction of the visible light reflectivity and the change direction of the infrared light reflectivity are decreasing directions, it is determined that the preset corrosion condition is satisfied; otherwise, it is determined that the preset corrosion condition is not satisfied. In another embodiment, when the change value of the visible light absorption peak wavenumber is greater than the corresponding standard wavenumber change value, the change value of the visible light reflectivity is greater than the corresponding standard reflectivity change value, and the change direction of the visible light reflectivity is a decreasing direction, or when the change value of the infrared light absorption peak wavenumber is greater than the corresponding standard wavenumber change value, the change value of the infrared light reflectivity is greater than the corresponding standard reflectivity change value, and the change direction of the infrared light reflectivity is a decreasing direction, it is determined that the preset corrosion condition is satisfied; otherwise, it is determined that the preset corrosion condition is not satisfied.

[0073] Step S304: When the spectral position movement data and the spectral intensity change data satisfy the preset corrosion condition, determine the corrosion degree of the cable outer sheath based on the spectral position movement data and the spectral intensity change data.

[0074] As can be seen from the above, after determining the spectral position movement data and the spectral intensity change data, the change value of the visible light absorption peak wavenumber and the change value of the infrared light absorption peak wavenumber are respectively compared with the corresponding standard wavenumber change value to obtain a first comparison result, and the change value of the visible light reflectivity and the change value of the infrared light reflectivity are respectively compared with the corresponding standard reflectivity change value to obtain a second comparison result. Whether the preset corrosion condition is satisfied is determined according to the first comparison result, the second comparison result, the change direction of the visible light reflectivity, and the change direction of the infrared light reflectivity. By using the spectral position movement data and the spectral intensity change data to judge whether there is corrosion on the cable outer sheath in this solution, the accuracy and rationality of the judgment can be improved, and the efficiency of corrosion detection can be ensured.

[0075] Figure 4 The figure is a flowchart of another method for detecting the corrosion degree of a cable based on spectral characteristics provided by an embodiment of the present application, which gives an optional specific method for determining the corrosion degree of the cable outer sheath. As Figure 3 shown, it specifically includes:

[0076] Step S401: Obtain the spectral feature data of the cable outer sheath collected currently and the inherent spectral feature data of the cable outer sheath stored in advance, and perform a comparison process on the spectral feature data and the inherent spectral feature data to obtain spectral position shift data and spectral intensity change data.

[0077] Step S402: Determine whether the spectral position shift data and the spectral intensity change data meet the preset corrosion conditions.

[0078] Step S403: When the spectral position shift data and the spectral intensity change data meet the preset corrosion conditions, perform a calculation process based on the change value of the visible light absorption peak wave number and the change value of the visible light reflectivity to obtain the visible light evaluation corrosion degree, and perform a calculation process based on the change value of the infrared light absorption peak wave number and the change value of the infrared light reflectivity to obtain the infrared light evaluation corrosion degree.

[0079] Among them, the spectral position shift data includes the change value of the visible light absorption peak wave number and the change value of the infrared light absorption peak wave number. The visible light evaluation corrosion degree can be calculated using the change value of the visible light absorption peak wave number and the change value of the visible light reflectivity. The visible light evaluation corrosion degree can be the corrosion degree of the cable outer sheath evaluated through the change of the visible spectrum. The spectral intensity change data includes the change value of the visible light reflectivity and the change value of the infrared light reflectivity. The infrared light evaluation corrosion degree can be calculated using the change value of the infrared light absorption peak wave number and the change value of the infrared light reflectivity. The infrared light evaluation corrosion degree can be the corrosion degree of the cable outer sheath evaluated through the change of the infrared spectrum.

[0080] In one embodiment, a calculation method for evaluating the corrosion degree by visible light and evaluating the corrosion degree by infrared light may be as follows: according to the change value of the visible light absorption peak wave number and the visible light reflectivity, query the preset mapping table of the comprehensive evaluation value of visible light change to obtain the corresponding comprehensive evaluation value of visible light change, multiply the comprehensive evaluation value of visible light change by the first preset corrosion degree coefficient to obtain the corrosion degree evaluated by visible light, according to the change value of the infrared light absorption peak wave number and the infrared light reflectivity, query the preset mapping table of the comprehensive evaluation value of infrared light change to obtain the corresponding comprehensive evaluation value of infrared light change, and multiply the comprehensive evaluation value of infrared light change by the second preset corrosion degree coefficient to obtain the corrosion degree evaluated by infrared light. An exemplary example may be that the first preset corrosion degree coefficient is 10%, the second preset corrosion degree coefficient is 5%, query the preset mapping table of the comprehensive evaluation value of visible light change according to the change value of the visible light absorption peak wave number and the visible light reflectivity to obtain the corresponding comprehensive evaluation value of visible light change as 6, multiply the comprehensive evaluation value of visible light change by the first preset corrosion degree coefficient to obtain the corrosion degree evaluated by visible light as 60%, query the preset mapping table of the comprehensive evaluation value of infrared light change according to the change value of the infrared light absorption peak wave number and the infrared light reflectivity to obtain the corresponding comprehensive evaluation value of infrared light change as 8, and multiply the comprehensive evaluation value of infrared light change by the second preset corrosion degree coefficient to obtain the corrosion degree evaluated by infrared light as 40%.

[0081] In another embodiment, substitute the change value of the visible light absorption peak wave number and the change value of the visible light reflectivity into the calculation formula for evaluating the corrosion degree by visible light to obtain the corresponding corrosion degree evaluated by visible light, substitute the change value of the infrared light absorption peak wave number and the change value of the infrared light reflectivity into the calculation formula for evaluating the corrosion degree by infrared light to obtain the corresponding corrosion degree evaluated by infrared light. The calculation formula for evaluating the corrosion degree by visible light is the change value of the visible light absorption peak wave number * the first coefficient * the first weight + the change value of the visible light reflectivity * the second coefficient * the second weight, and the calculation formula for evaluating the corrosion degree by infrared light is the change value of the infrared light absorption peak wave number * the third coefficient * the third weight + the change value of the infrared light reflectivity * the fourth coefficient * the fourth weight.

[0082] Step S404: Determine the corrosion degree of the cable outer sheath according to the corrosion degree evaluated by visible light and the corrosion degree evaluated by infrared light.

[0083] Optionally, one way to determine the corrosion degree of the cable outer sheath is to multiply the visible light corrosion degree evaluation and the infrared light corrosion degree evaluation by their corresponding preset weights respectively and then sum them up to obtain the corrosion degree of the cable outer sheath. An exemplary example can be that the visible light corrosion degree evaluation is 40%, the corresponding preset weight is 0.7, the infrared light corrosion degree evaluation is 30%, and the corresponding preset weight is 0.3. Multiplying the visible light corrosion degree evaluation and the infrared light corrosion degree evaluation by their corresponding preset weights respectively and then summing them up gives a corrosion degree of the cable outer sheath of 37%. In another embodiment, one way to determine the corrosion degree of the cable outer sheath is to calculate the average value of the visible light corrosion degree evaluation and the infrared light corrosion degree evaluation and determine this average value as the corrosion degree of the cable outer sheath.

[0084] As can be seen from the above, after determining that the preset corrosion conditions are met, the visible light corrosion degree evaluation is obtained through calculation and processing based on the change value of the visible light absorption peak wave number and the change value of the visible light reflectivity, and the infrared light corrosion degree evaluation is obtained through calculation and processing based on the change value of the infrared light absorption peak wave number and the change value of the infrared light reflectivity. The corrosion degree of the cable outer sheath is determined based on the visible light corrosion degree evaluation and the infrared light corrosion degree evaluation. This solution determines the corrosion degree of the cable outer sheath through spectral position shift data and spectral intensity change data, enabling highly efficient cable corrosion monitoring and improving the accuracy of the corrosion degree.

[0085] Figure 5 This is a module structure block diagram of a cable corrosion degree detection device based on spectral characteristics provided by an embodiment of the present application. This system is used to execute a cable corrosion degree detection method based on spectral characteristics provided by the above embodiment and has corresponding functional modules and beneficial effects for executing the method. As Figure 5 shown, this system specifically includes:

[0086] An acquisition module 101, configured to acquire the spectral characteristic data of the currently collected cable outer sheath and the inherent spectral characteristic data of the cable outer sheath stored in advance;

[0087] A comparison and processing module 102, configured to perform comparison and processing on the spectral characteristic data and the inherent spectral characteristic data to obtain spectral position shift data and spectral intensity change data;

[0088] A judgment module 103, configured to determine whether the spectral position shift data and the spectral intensity change data meet the preset corrosion conditions;

[0089] A corrosion degree determination module 104, configured to, when the spectral position shift data and the spectral intensity change data meet the preset corrosion conditions, determine the corrosion degree of the cable outer sheath based on the spectral position shift data and the spectral intensity change data.

[0090] As can be seen from the above solution, the spectral characteristic data of the currently collected cable outer sheath and the inherent spectral characteristic data of the cable outer sheath stored in advance are obtained. The spectral characteristic data is compared with the inherent spectral characteristic data to obtain spectral position shift data and spectral intensity change data. It is determined whether the spectral position shift data and the spectral intensity change data meet the preset corrosion conditions. When the spectral position shift data and the spectral intensity change data meet the preset corrosion conditions, the corrosion degree of the cable outer sheath is determined based on the spectral position shift data and the spectral intensity change data. This solution determines the corrosion condition of the cable by analyzing the change in the spectral characteristics of the cable surface material, solves the problem in the prior art that the detection accuracy of the cable corrosion degree is low, resulting in the inability to repair the cable in time and affecting the safe operation of the power system, and can improve the efficiency of cable corrosion detection.

[0091] In a possible embodiment, the comparison processing module 102 is specifically configured to:

[0092] Calculate the first wavenumber difference between the visible light absorption peak wavenumber and the inherent visible light absorption peak wavenumber and the second wavenumber difference between the infrared light absorption peak wavenumber and the inherent infrared light absorption peak wavenumber respectively, and determine the first wavenumber difference and the second wavenumber difference as the spectral position shift data;

[0093] Calculate the first reflectivity difference between the visible light reflectivity and the inherent visible light reflectivity and the second reflectivity difference between the infrared light reflectivity and the inherent infrared light reflectivity respectively, and determine the first change direction of the visible light reflectivity and the second change direction of the infrared light reflectivity;

[0094] Determine the first reflectivity difference, the first change direction, the second reflectivity difference and the second change direction as the spectral intensity change data.

[0095] In a possible embodiment, the judgment module 103 is specifically configured to:

[0096] Compare the visible light absorption peak wavenumber change value and the infrared light absorption peak wavenumber change value with the corresponding standard wavenumber change values respectively to obtain a first comparison result, and compare the visible light reflectivity change value and the infrared light reflectivity change value with the corresponding standard reflectivity change values respectively to obtain a second comparison result;

[0097] Determine whether the preset corrosion conditions are met according to the first comparison result, the second comparison result, the visible light reflectivity change direction and the infrared light reflectivity change direction.

[0098] In a possible embodiment, the determination module 103 is further configured to:

[0099] When the visible light absorption peak wavenumber change value and the infrared light absorption peak wavenumber change value are both greater than the corresponding standard wavenumber change values, and the visible light reflectivity change value and the infrared light reflectivity change value are both greater than the corresponding standard reflectivity change values, if the visible light reflectivity change direction and the infrared light reflectivity change direction are both decreasing directions, it is determined that the preset corrosion condition is satisfied; otherwise, it is determined that the preset corrosion condition is not satisfied.

[0100] In a possible embodiment, the corrosion degree determination module 104 is specifically configured to:

[0101] Perform calculation processing based on the visible light absorption peak wavenumber change value and the visible light reflectivity change value to obtain the visible light evaluated corrosion degree, and perform calculation processing based on the infrared light absorption peak wavenumber change value and the infrared light reflectivity change value to obtain the infrared light evaluated corrosion degree;

[0102] Determine the corrosion degree of the cable outer sheath according to the visible light evaluated corrosion degree and the infrared light evaluated corrosion degree.

[0103] In a possible embodiment, the corrosion degree determination module 104 is further configured to:

[0104] Multiply the visible light evaluated corrosion degree and the infrared light evaluated corrosion degree by the corresponding preset weights respectively and superimpose them to obtain the corrosion degree of the cable outer sheath.

[0105] In a possible embodiment, the corrosion degree determination module 104 is further configured to:

[0106] Query the corrosion degrees to be calculated corresponding to the visible light absorption peak wavenumber change value, the infrared light absorption peak wavenumber change value, the visible light reflectivity change value, and the infrared light reflectivity change value respectively;

[0107] Substitute each of the corrosion degrees to be calculated into a preset comprehensive corrosion degree calculation formula to obtain the corrosion degree of the cable outer sheath.

[0108] Figure 6 The structural schematic diagram of a cable corrosion degree detection device provided by an embodiment of the present application is as Figure 6 shown. The device includes a processor 201, a memory 202, an input device 203, and an output device 204; the number of processors 201 in the device can be one or more, Figure 6Taking a processor 201 as an example; the processor 201, memory 202, input device 203, and output device 204 in the device can be connected through a bus or other means. Figure 6 Taking the connection through the bus as an example. The memory 202, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions or modules corresponding to the cable corrosion degree detection method based on spectral features in the embodiments of the present application. The processor 201 executes various functional applications and data processing of the device by running the software programs, instructions, and modules stored in the memory 202, that is, implementing the above-mentioned cable corrosion degree detection method based on spectral features. The input device 203 can be used to receive input digital or character information, as well as generate key signal inputs related to the user settings and function control of the device. The output device 204 can include display devices such as a display screen.

[0109] The embodiments of the present application also provide a storage medium containing computer-executable instructions, and the computer-executable instructions are used to execute a cable corrosion degree detection method based on spectral features when executed by a computer processor. The method includes:

[0110] Obtain the spectral feature data of the cable outer sheath collected currently and the inherent spectral feature data of the cable outer sheath stored in advance;

[0111] Compare the spectral feature data with the inherent spectral feature data to obtain spectral position shift data and spectral intensity change data;

[0112] Determine whether the spectral position shift data and the spectral intensity change data meet the preset corrosion conditions;

[0113] When the spectral position shift data and the spectral intensity change data meet the preset corrosion conditions, determine the corrosion degree of the cable outer sheath based on the spectral position shift data and the spectral intensity change data.

[0114] It should be noted that in the embodiments of the above-mentioned cable corrosion degree detection method system based on spectral features, the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, the specific names of the functional units are only for the convenience of mutual distinction and do not limit the protection scope of the embodiments of the present application.

[0115] Note that the above is only the preferred embodiment of the embodiments of the present application and the technical principles applied. Those skilled in the art will understand that the embodiments of the present application are not limited to the specific embodiments described herein. Various obvious changes, re-adjustments, and substitutions can be made by those skilled in the art without departing from the protection scope of the embodiments of the present application. Therefore, although the embodiments of the present application have been described in more detail through the above embodiments, the embodiments of the present application are not limited to the above embodiments. Without departing from the concept of the embodiments of the present application, more other equivalent embodiments can be included, and the scope of the embodiments of the present application is determined by the scope of the appended claims.

Claims

1. A cable corrosion degree detection method based on spectral characteristics, characterized in that: The method comprises: Acquire the currently collected spectral characteristic data of the cable sheath and the pre-stored inherent spectral characteristic data of the cable sheath; Comparing the spectral feature data with the inherent spectral feature data to obtain spectral position movement data and spectral intensity change data; Determining whether the spectral position movement data and the spectral intensity change data meet a preset corrosion condition; In a case where the spectral position movement data and the spectral intensity change data satisfy a preset corrosion condition, the corrosion degree of the cable sheath is determined based on the spectral position movement data and the spectral intensity change data.

2. The cable corrosion degree detection method based on spectral characteristics according to claim 1 is characterized in that: The spectral characteristic data includes visible light absorption peak wave number, visible light reflectivity, infrared light absorption peak wave number and infrared light reflectivity, the inherent spectral characteristic data includes inherent visible light absorption peak wave number, inherent visible light reflectivity, inherent infrared light absorption peak wave number and inherent infrared light reflectivity, and the spectral position movement data and spectral intensity change data are obtained by comparing the spectral characteristic data with the inherent spectral characteristic data, including: Respectively calculating a first wavenumber difference between the visible light absorption peak wavenumber and the intrinsic visible light absorption peak wavenumber and a second wavenumber difference between the infrared light absorption peak wavenumber and the intrinsic infrared light absorption peak wavenumber, and determining the first wavenumber difference and the second wavenumber difference as spectral position movement data; Respectively calculating a first reflectivity difference between the visible light reflectivity and the inherent visible light reflectivity and a second reflectivity difference between the infrared light reflectivity and the inherent infrared light reflectivity, and determining a first change direction of the visible light reflectivity and a second change direction of the infrared light reflectivity; The first reflectivity difference, the first change direction, the second reflectivity difference, and the second change direction are determined as spectral intensity change data.

3. The cable corrosion degree detection method based on spectral characteristics according to claim 1 is characterized in that: The spectral position movement data includes a visible light absorption peak wave number change value and an infrared light absorption peak wave number change value, the spectral intensity change data includes a visible light reflectance change value, a visible light reflectance change direction, an infrared light reflectance change value, and an infrared light reflectance change direction, and determining whether the spectral position movement data and the spectral intensity change data meet a preset corrosion condition includes: The visible light absorption peak wavenumber change value and the infrared light absorption peak wavenumber change value are respectively compared with the corresponding standard wavenumber change values ​​to obtain a first comparison result, and the visible light reflectivity change value and the infrared light reflectivity change value are respectively compared with the corresponding standard reflectivity change values ​​to obtain a second comparison result; Whether a preset corrosion condition is met is determined according to the first comparison result, the second comparison result, the change direction of the visible light reflectivity, and the change direction of the infrared light reflectivity.

4. The cable corrosion degree detection method based on spectral characteristics according to claim 3 is characterized in that: The determining whether a preset corrosion condition is met according to the first comparison result, the second comparison result, the change direction of the visible light reflectivity, and the change direction of the infrared light reflectivity includes: When the visible light absorption peak wavenumber change value and the infrared light absorption peak wavenumber change value are both greater than the corresponding standard wavenumber change value and the visible light reflectivity change value and the infrared light reflectivity change value are both greater than the corresponding standard reflectivity change value, if the visible light reflectivity change direction and the infrared light reflectivity change direction are both in a decreasing direction, it is determined that the preset corrosion condition is met; otherwise, it is determined that the preset corrosion condition is not met.

5. The cable corrosion degree detection method based on spectral characteristics according to any one of claims 1 to 3, characterized in that: The spectral position movement data includes a visible light absorption peak wave number change value and an infrared light absorption peak wave number change value, the spectral intensity change data includes a visible light reflectivity change value and an infrared light reflectivity change value, and the method of determining the degree of corrosion of the cable sheath based on the spectral position movement data and the spectral intensity change data includes: Calculating and processing the visible light absorption peak wave number change value and the visible light reflectivity change value to obtain the visible light evaluation corrosion degree, and calculating and processing the infrared light absorption peak wave number change value and the infrared light reflectivity change value to obtain the infrared light evaluation corrosion degree; The corrosion degree of the cable sheath is determined based on the visible light corrosion degree evaluation and the infrared light corrosion degree evaluation.

6. The cable corrosion degree detection method based on spectral characteristics according to claim 5 is characterized in that: Determining the degree of corrosion of the cable sheath according to the visible light corrosion assessment and the infrared light corrosion assessment includes: The corrosion degree assessed by visible light and the corrosion degree assessed by infrared light are respectively multiplied by corresponding preset weights and superimposed to obtain the corrosion degree of the cable sheath.

7. The cable corrosion degree detection method based on spectral characteristics according to any one of claims 1 to 3, characterized in that: The spectral position movement data includes a visible light absorption peak wave number change value and an infrared light absorption peak wave number change value, the spectral intensity change data includes a visible light reflectivity change value and an infrared light reflectivity change value, and the method of determining the degree of corrosion of the cable sheath based on the spectral position movement data and the spectral intensity change data includes: respectively querying the corrosion degree to be calculated corresponding to the visible light absorption peak wave number change value, the infrared light absorption peak wave number change value, the visible light reflectivity change value, and the infrared light reflectivity change value; Substitute each of the corrosion degrees to be calculated into a preset comprehensive corrosion degree calculation formula to obtain the corrosion degree of the cable sheath.

8. The cable corrosion degree detection system based on spectral characteristics is characterized by: include: An acquisition module, used to acquire the currently collected spectral characteristic data of the cable sheath and the pre-stored inherent spectral characteristic data of the cable sheath; A comparison processing module, used for comparing the spectral feature data with the inherent spectral feature data to obtain spectral position movement data and spectral intensity change data; A judgment module, used to determine whether the spectral position movement data and the spectral intensity change data meet a preset corrosion condition; The corrosion degree determination module is used to determine the corrosion degree of the cable sheath based on the spectral position movement data and the spectral intensity change data when the spectral position movement data and the spectral intensity change data meet the preset corrosion conditions.

9. A cable corrosion degree detection device based on spectral characteristics, the device comprising: one or more processors; A storage device for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the cable corrosion degree detection method based on spectral features as described in any one of claims 1-7.

10. A storage medium storing computer executable instructions, wherein the computer executable instructions are used to execute the cable corrosion degree detection method based on spectral characteristics as described in any one of claims 1 to 7 when executed by a computer processor.

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