Image acquisition period determination method, system and equipment of long-distance cable and medium

Abstract

The invention relates to the technical field of cable image acquisition, and discloses a method, a system and equipment for determining an image acquisition period of a long-distance cable, and a medium, and the method comprises the steps: dividing a target long-distance cable into a plurality of cable sub-sections according to the obtained environment data of the target long-distance cable; determining the theoretical remaining service life of each cable sub-section based on the acquired cable attribute information and the actual use duration; according to the environment data, service life influence correction values, including a temperature influence correction value, a humidity influence correction value, a wind speed influence correction value and an illumination influence correction value, of each cable sub-section are calculated; and carrying out primary correction on the theoretical residual service life according to the service life influence correction value, carrying out secondary correction on the theoretical residual service life according to the obtained fault data, and determining an image acquisition period of each cable sub-section according to the actual residual service life obtained after the secondary correction and a preset threshold value. According to the method, the timeliness and high efficiency of long-distance cable image acquisition can be ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of cable image acquisition, and in particular to a method, system, device and medium for determining an image acquisition period of a long-distance cable. Background Art

[0002] Cables, as common electrical transmission equipment, play a critical role in power transmission systems. During actual operation, cables face a variety of complex operating conditions and environmental factors. Localized defects may develop within cables due to material defects, vandalism, aging, and corrosion. If these localized defects are not promptly detected and addressed, they can cause leakage and, in severe cases, even cable fires, posing a significant threat to the stability and security of power supply. Therefore, accurately and promptly locating and identifying localized cable defects is crucial.

[0003] Image recognition methods are currently widely used in the field of locating and identifying local defects in cables. The basic principle is to capture cable images and then apply image processing and analysis techniques to conduct in-depth analysis of the images to identify local defects. Given that cables are often used outdoors, periodic image recognition is necessary to locate and identify local defects to ensure long-term stable operation.

[0004] However, existing fixed-cycle image acquisition methods have significant limitations for long-haul cables. Due to the extreme length of long-haul cables, a short acquisition cycle can provide timely images for local defect identification, but this results in a significant image acquisition workload, and the subsequent processing and analysis of massive amounts of image data is time-consuming and laborious. A long acquisition cycle, while reducing workload, can easily lead to delayed image acquisition and an inability to identify local cable defects.

[0005] Therefore, how to determine a suitable image acquisition period for long-distance cables has become a technical problem that needs to be solved urgently by those skilled in the art. Summary of the Invention

[0006] The present invention provides a method, system, device and medium for determining the image acquisition period of long-distance cables to solve the technical problem of how to determine a suitable image acquisition period for long-distance cables, thereby achieving the effect of providing a suitable image acquisition period for long-distance cables to perform efficient and timely local defect detection thereon.

[0007] In a first aspect, the present invention provides a method for determining an image acquisition period of a long-distance cable, the method comprising: Dividing the target long-distance cable into a plurality of cable subsections according to the acquired environmental data of the target long-distance cable; Based on the cable attribute information and the actual service life corresponding to each of the cable sub - sections obtained, determine the theoretical remaining service life of each of the cable sub - sections; According to the environmental data corresponding to each of the cable sub - sections, calculate the life - impact correction value for each of the cable sub - sections. The life - impact correction value includes: temperature - impact correction value, humidity - impact correction value, wind - speed - impact correction value, and light - impact correction value. The temperature - impact correction value and the humidity - impact correction value are calculated based on the first preset rule respectively, and the wind - speed - impact correction value and the light - impact correction value are calculated based on the second preset rule respectively. The first preset rule is calculated based on the deviation between the environmental data and the corresponding optimal usage value, and the second preset rule is calculated based on the impact relationship between the environmental data and the theoretical remaining service life; Perform a first - level correction on the theoretical remaining service life of each of the cable sub - sections according to the life - impact correction value of each of the cable sub - sections, and perform a second - level correction on the theoretically remaining service life after the first - level correction according to the obtained fault data of the target long - distance cable to obtain the actual remaining service life of each of the cable sub - sections; Determine the image acquisition period of each of the cable sub - sections according to the relationship between the actual remaining service life of each of the cable sub - sections and the preset threshold.

[0008] Preferably, the dividing the target long - distance cable into multiple cable sub - sections according to the obtained environmental data of the target long - distance cable includes: Perform a first - stage segmentation process on the target long - distance cable according to the laying time of the obtained target long - distance cable to obtain a number of first cable segments; Perform a second - stage segmentation process on each of the first cable segments according to the preset basic length unit to obtain a number of second cable segments; According to the environmental data of the obtained target long - distance cable, calculate the environmental deviation value between adjacent two of the cable segments, and determine whether the environmental deviation value is less than a preset threshold. If so, incorporate the adjacent two second cable segments into the same cable sub - section. If not, incorporate the adjacent two second cable segments into different cable sub - sections to divide the target long - distance cable into multiple cable sub - sections.

[0009] Preferably, the calculation formula for the environmental deviation value is: Where: is the environmental deviation value between the second cable segment and the second cable segment, is the The average temperature of the quarter, is the average temperature of the quarter within the second cable segment, is the temperature influence coefficient, is the average humidity of the quarter within the second cable segment, is the average humidity of the quarter within the second cable segment, is the humidity influence coefficient, is the average wind speed of the quarter within the second cable segment, is the average wind speed of the quarter within the second cable segment, is the mechanical fatigue coefficient, is the average light intensity of the quarter within the second cable segment, is the average light intensity of the quarter within the second cable segment, is the light intensity influence coefficient.

[0010] Preferably, the determining of the theoretical remaining service life of each cable sub-segment based on the obtained cable attribute information and actual service duration corresponding to each cable sub-segment includes: Obtain the cable attribute information and actual service duration corresponding to all cable models. Based on the cable attribute information, conduct a service life simulation test on all cable models. According to the results of the service life simulation test, obtain the relationship between the cable attribute information and the cable reference service life. The cable attribute information includes: rated voltage, rated current, insulation material, conductor cross-sectional area, cable structure information, laying method, and erection height; Based on the relationship, construct a cable reference service life prediction model, and input the cable attribute information corresponding to each cable sub-segment into the cable reference service life prediction model to obtain the cable reference service life of each cable sub-segment; According to the cable reference service life of each cable sub-segment and the actual service duration of the corresponding cable sub-segment, obtain the remaining service life of each cable sub-segment.

[0011] Preferably, the calculation formula for the temperature influence correction value is: Among them, is the temperature influence correction value, and are preset constants, is the optimal operating temperature; The calculation formula for the humidity influence correction value is: Among them, is the humidity influence correction value, and are preset constants, is the optimal operating humidity; The calculation formula for the wind speed influence correction value is: Among them, is the wind speed influence correction value, , and are preset constants; The calculation formula for the light influence correction value is: Among them, is the light influence correction value, , and are preset constants.

[0012] Preferably, the first-level correction of the theoretical remaining service life of each cable sub-section according to the life influence correction value of each cable sub-section includes: Calculating the weighted sum of the temperature influence correction value, the humidity influence correction value, the wind speed influence correction value, and the light influence correction value corresponding to each cable sub-section to obtain the comprehensive correction value of each cable sub-section; Obtaining the first-level corrected theoretical remaining service life corresponding to each cable sub-section according to the difference between the theoretical remaining service life of each cable sub-section and the comprehensive correction value of the corresponding cable sub-section.

[0013] Preferably, the method further includes: Based on the image acquisition period of each cable sub-section, respectively collecting the cable image data of each cable sub-section; Using a preset cable local defect recognition method to perform local defect recognition on the cable image data to obtain the local defect recognition result of each cable sub-section.

[0014] Second aspect, the present invention also provides a system for determining the image acquisition period of a long-distance cable, which is used to implement the method for determining the image acquisition period of the long-distance cable described above. The system includes: a cable sub-section division unit, a theoretical remaining service life determination unit, an influence correction value calculation unit, a remaining service life correction unit, and an image acquisition period determination unit; The cable sub-section division unit is configured to divide the target long-distance cable into multiple cable sub-sections according to the acquired environmental data of the target long-distance cable; The theoretical remaining service life determination unit is configured to determine the theoretical remaining service life of each cable sub-section based on the acquired cable attribute information and actual usage duration corresponding to each cable sub-section; The influence correction value calculation unit is configured to calculate the life influence correction value of each cable sub-section according to the environmental data corresponding to each cable sub-section. The life influence correction value includes: a temperature influence correction value, a humidity influence correction value, a wind speed influence correction value, and a light influence correction value. The temperature influence correction value and the humidity influence correction value are calculated based on the first preset rule respectively, and the wind speed influence correction value and the light influence correction value are calculated based on the second preset rule respectively; the first preset rule is calculated based on the deviation between the environmental data and the corresponding optimal usage value, and the second preset rule is calculated based on the influence relationship between the environmental data and the theoretical remaining service life; The remaining service life correction unit: is configured to perform a primary correction on the theoretical remaining service life of the corresponding cable sub-section according to the life influence correction value of each cable sub-section, and perform a secondary correction on the theoretically remaining service life after the primary correction according to the acquired fault data of the target long-distance cable to obtain the actual remaining service life of each cable sub-section; The image acquisition period determination unit is configured to determine the image acquisition period of each cable sub-section according to the relationship between the actual remaining service life of each cable sub-section and a preset threshold.

[0015] Third aspect, the present invention also provides a computer device, which includes a memory, a processor, and a transceiver, which are connected through a bus; the memory is used to store a set of computer program instructions and data, and transmit the stored data to the processor, and the processor executes the program instructions stored in the memory to execute the method for determining the image acquisition period of the long-distance cable described above.

[0016] Fourth aspect, the present invention also provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is run, the method for determining the image acquisition period of the long-distance cable described above is implemented.

[0017] The present application provides a method, system, device and medium for determining the image acquisition period of a long-distance cable. Compared with the prior art, the beneficial effects of the embodiments of the present application are as follows: The method for determining the image acquisition period of the long-distance cable disclosed in the present application can accurately divide the long-distance cable into sections and calculate the actual remaining service life, and based on the remaining service life, different image acquisition periods are divided for each cable sub-section, ensuring the efficiency and timeliness of the long-distance cable image acquisition, and further ensuring the efficiency and timeliness of the local defect identification of the long-distance cable. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a schematic diagram of the steps of a method for determining the image acquisition period of a long-distance cable provided by a preferred embodiment of the present invention; Figure 2 is a schematic structural diagram of a system for determining the image acquisition period of a long-distance cable provided by a preferred embodiment of the present invention; Figure 3 is an internal structural diagram of a computer device in an embodiment of the present invention; Reference numerals: 1 - Cable sub-section division unit, 2 - Theoretical remaining service life determination unit, 3 - Influence correction value calculation unit, 4 - Remaining service life correction unit, 5 - Image acquisition period determination unit. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] The embodiments of the present invention will be specifically described below in conjunction with the drawings. The given embodiments are only for illustrative purposes and should not be construed as limiting the present invention. The drawings are only for reference and explanation and do not constitute a limitation on the scope of protection of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention. In the description of the present invention, the terms "first", "second", "third", etc. are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, the features defined with "first", "second", "third", etc. may explicitly or implicitly include one or more of such features. In the description of the present invention, unless otherwise specified, the meaning of the "plurality" is two or more.

[0020] In the description of the present invention, it should be noted that, unless otherwise clearly defined and limited, the terms "installation", "connection", and "coupling" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two components. The terms "vertical", "horizontal", "left", "right", "up", "down" and similar expressions used herein are only for the purpose of illustration, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus cannot be understood as a limitation to the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0021] In the description of the present invention, it should be noted that, unless otherwise defined, all technical and scientific terms used in the present invention have the same meanings as those commonly understood by those skilled in the technical field to which the present invention belongs. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0022] Please refer to Figure 1 , in an embodiment of the present invention, a method for determining an image acquisition period of a long-distance cable is provided, and the method includes: S1. Divide the target long-distance cable into multiple cable sub-sections according to the obtained environmental data of the target long-distance cable. The long-distance cable generally refers to inter-provincial cables and inter-city cables, which are characterized by long distances and changing surrounding environments. The environmental data at least includes: quarterly average temperature data, quarterly average humidity data, quarterly average wind speed data, and quarterly average light intensity data. Generally, by collecting the historical daily temperature data, historical daily humidity data, historical daily wind speed data, and historical daily light intensity data of the previous year, and respectively calculating the quarterly averages of the historical daily temperature data, historical daily humidity data, historical daily wind speed data, and historical daily light intensity data, the corresponding quarterly average temperature data, quarterly average humidity data, quarterly average wind speed data, and quarterly average light intensity data are obtained. Specifically, obtain the meteorological data of each part along the target long-distance cable in the previous year from meteorological units, meteorological websites, or meteorological APPs, and obtain the historical daily temperature data, historical daily humidity data, historical daily wind speed data, and historical daily light intensity data from them, and then calculate the quarterly average temperature data, quarterly average humidity data, quarterly average wind speed data, and quarterly average light intensity data. This application fully considers the characteristic that the environmental data of the same location in the same quarter is similar and the environmental data in different quarters varies greatly. Selecting the quarterly average temperature data, quarterly average humidity data, quarterly average wind speed data, and quarterly average light intensity data as environmental data will neither cause low calculation efficiency due to large amounts of data nor avoid the situation where the annual average data cannot truly reflect the changes in the surrounding environment, resulting in inaccurate cable sub-section division results. In this application, when dividing the target long-distance cable into multiple cable sub-sections, for the division of cable sub-sections, not only the length and laying time of the cable need to be considered, but also the surrounding environment of the target long-distance cable needs to be fully considered. Specifically, first perform a first segmentation process on the target long-distance cable according to the obtained laying time of the target long-distance cable, and divide the cables laid at the same time into the same segment to eliminate the influence of the laying time on the service life of the target long-distance cable, obtaining several first cable segments. Further, set a basic length unit, and perform a second segmentation process on each first cable segment according to the basic length unit to obtain several second cable segments. The basic length unit should be less than a preset threshold, which can be preset to a certain value, such as 1000m, or can also be set to a preset ratio of the total length, such as 2.5% of the total length. The segmentation process is equivalent to performing a grid processing on the target long-distance cable, which is convenient for the refined management of the target long-distance cable.

[0023] Because long-haul cables are extremely long, each cable segment often faces different surrounding environments. Therefore, after segmenting the target long-haul cable, the environmental data corresponding to each second cable segment is obtained from the target long-haul cable's environmental data. For each second cable segment, adjacent second cable segments may have similar temperatures, humidity, wind speed, and light intensity, yet still be divided into different second cable segments. This results in a large number of second cable segments and inefficient computation. In one embodiment of the present application, for two adjacent second cable segments, based on the obtained environmental data corresponding to each cable segment, an environmental deviation value between the two adjacent second cable segments is calculated, and it is determined whether the environmental deviation value is less than a preset environmental deviation threshold value. If so, it means that the seasonal average temperature, seasonal average humidity, seasonal average wind speed, and seasonal average light intensity of the two adjacent second cable segments have similar effects on the cable life of their own second cable segments, and the two adjacent second cable segments are classified into the same cable sub-segment; if not, it means that the seasonal average temperature, seasonal average humidity, seasonal average wind speed, and seasonal average light intensity of the two adjacent second cable segments have significantly different effects on the cable life of their own second cable segments and cannot be classified into the same cable sub-segment, and the two adjacent second cable segments are classified into different cable sub-segments, and finally the target long-distance cable is divided into multiple cable sub-segments, wherein the calculation formula of the environmental deviation value is: in: for The second cable segment The environmental deviation value between the second cable segments, for The second cable segment Average temperature for the quarter, for The second cable segment Average temperature for the quarter, is the temperature influence coefficient, for The second cable segment Average humidity for the season, for The second cable segment Average humidity for the quarter, is the humidity influence coefficient, for The second cable segment Average wind speed for the quarter, for The second cable segment Average wind speed for the quarter, is the mechanical fatigue coefficient, is the average light intensity in the second cable segment during the quarter, is the average light intensity in the second cable segment during the quarter, is the light intensity influence coefficient.

[0024] In another embodiment of the present application, after obtaining a number of second cable segments, the second cable segments are further processed using the cable comprehensive influence value, and the cable comprehensive influence value is set to reflect the comprehensive influence of temperature, humidity, wind speed, and light on the target long-distance cable. Calculate the cable comprehensive influence value of each second cable segment, and the calculation formula of the cable comprehensive influence value is: wherein, is the cable comprehensive influence value of the second cable segment, is the fitted temperature influence factor, is the Boltzmann constant, is the activation energy of the cable material, is the fitted humidity influence factor, is the fitted wind speed influence factor, is the fitted light intensity influence factor.

[0025] The cable comprehensive influence value reflects the influence degree of the average temperature, average humidity, average wind speed, and average light intensity of each quarter of the second cable segment on the cable service life of the second cable segment. For example, the larger the cable comprehensive influence value of the second cable segment, the greater the influence of the average temperature, average humidity, average wind speed, and average light intensity of each quarter of the second cable segment on the second cable segment; conversely, the smaller the cable comprehensive influence value of the second cable segment, the smaller the influence of the average temperature, average humidity, average wind speed, and average light intensity of each quarter of the second cable segment on the second cable segment.

[0026] After obtaining the cable comprehensive influence values corresponding to each cable segment, calculate the influence deviation value of the comprehensive influence value between two adjacent second cable segments respectively, and determine whether the influence deviation value is less than the pre-set comprehensive influence deviation value threshold. If so, the two adjacent second cable segments are classified into the same cable sub-segment. If not, the two adjacent second cable segments are classified into different cable sub-segments, and finally the target long-distance cable is divided into multiple cable sub-segments.

[0027] For example, the comprehensive influence value of a certain second cable segment is , the comprehensive influence value of the adjacent second cable segment is , and the influence deviation value between the two second cable segments at this time is , if the influence deviation value is less than the comprehensive influence deviation value threshold, it indicates that the average temperature, average humidity, average wind speed, and average light intensity of each quarter of the two adjacent second cable segments have a comparable impact on the service life of the two adjacent second cable segments, and they can be classified into the same cable sub-segment; conversely, if the influence deviation value is less than the comprehensive influence deviation value threshold, it indicates that the average temperature, average humidity, average wind speed, and average light intensity of each quarter of the two adjacent second cable segments have a relatively large difference in the impact on the service life of the two adjacent second cable segments and cannot be classified into the same cable sub-segment. Through this method, the long-distance cable can ultimately be more reasonably divided into multiple cable sub-segments.

[0028] S2. Based on the obtained cable attribute information and actual service duration corresponding to each cable sub-segment, determine the theoretical remaining service life of each cable sub-segment; for the theoretical remaining service life of the cable, it is related to the reference service life and actual service duration of the cable. The reference service life of the cable reflects the service life of the cable under ideal use conditions and is generally obtained through a service life simulation test. Among them, there are two types of service life simulation tests. One is under laboratory conditions, by setting certain test parameters, to conduct a service life simulation test on the cable sample, thereby determining the reference service life of the cable sample; the other is in a computing device, by simulating real test parameters through a simulation environment to conduct a service life simulation test on the cable sample, thereby determining the reference service life of the cable sample.

[0029] The reference service life of the cable is not only related to the rated voltage, rated current, insulating material, conductor cross-sectional area, and cable structure information, but also related to the laying method and erection height. In an embodiment of the present application, a cable reference service life prediction model is constructed based on the results of the service life simulation test, and then the cable reference service life prediction model is used to predict the reference service life of cables of different models and laying methods. Specifically, based on the obtained cable attribute information corresponding to all models of cables, the cable attribute information at least includes: rated voltage, rated current, insulating material, conductor cross-sectional area, cable structure information, laying method, and erection height. Conduct a service life simulation test on all models of cables. According to the results of the service life simulation test, obtain the relationship between the cable attribute information and the cable reference service life. Based on the relationship, construct a cable reference service life prediction model. For each cable sub-segment of the target long-distance cable, input its corresponding cable attribute information into the cable reference service life prediction model to obtain the cable reference service life of each cable sub-segment.

[0030] Further, calculate the difference between the reference service life of each cable sub-section and the actual service duration, and this difference is the theoretical remaining service life of this cable sub-section.

[0031] S3. Calculate the life impact correction value for each cable sub-section according to the environmental data corresponding to each cable sub-section. The life impact correction value includes: temperature impact correction value, humidity impact correction value, wind speed impact correction value, and light intensity impact correction value. The temperature impact correction value and the humidity impact correction value are calculated based on the first preset rule respectively, and the wind speed impact correction value and the light intensity impact correction value are calculated based on the second preset rule respectively. The first preset rule is calculated based on the deviation between the environmental data and the corresponding optimal usage value, and the second preset rule is calculated based on the impact relationship between the environmental data and the theoretical remaining service life. Since the reference service life of the cable obtained through the service life simulation test is obtained under ideal usage conditions, while the actual usage of the cable is usually in the outdoor environment, and the outdoor environment is relatively more complex and changeable. Especially for the long-distance cable in this application, it may involve scenarios across provinces and cities, and the outdoor environments of each cable sub-section are not the same. Obviously, the different outdoor environments will affect the service life of the cable. In this application, the impact of environmental data on the theoretical remaining service life of the target long-distance cable is converted into temperature impact correction value, humidity impact correction value, wind speed impact correction value, and light intensity impact correction value to correct the theoretical remaining service life.

[0032] Among them, temperature, humidity, and light intensity can affect the oxidation rate of cable materials. Usually, the higher the temperature, the greater the humidity, and the greater the light intensity, the faster the oxidation rate of cable materials, thereby leading to a reduction in its life. And the wind speed mainly affects the service life of the cable based on the principle of mechanical fatigue. For example, the greater the wind speed, the greater the pulling force on the target long-distance cable, resulting in greater fatigue and a greater impact on its service life. In this application, the quarterly average values of temperature, humidity, wind speed, and light intensity are used to calculate each impact correction value. The quarterly average value can greatly reduce the calculation amount compared with the monthly average value or daily value, and there will be no situation where it cannot truly reflect the impact of temperature, humidity, wind speed, and light intensity on the service life of the cable. While improving the accuracy of determining the image acquisition period of the target long-distance cable, the calculation efficiency is improved.

[0033] In a preferred embodiment of the present application, the temperature influence correction value and the humidity influence correction value are calculated based on the first preset rule respectively. The first preset rule is calculated based on the deviation between the environmental data and the corresponding optimal usage value. Through simulation research on the service life of the cable, it is found that the influence of temperature on the service life of the cable can be divided into a linear part and a non-linear part. The non-linear part can be fitted as a natural logarithm to a certain extent. Therefore, according to the deviation between the average temperature of each quarter and the optimal usage temperature, the temperature influence correction value of the theoretical remaining service life of the target long-distance cable is determined. The calculation formula of the temperature influence correction value is as follows: Wherein, is the temperature influence correction value, and are preset constants, which can be measured through experiments, is the optimal usage temperature.

[0034] Through simulation research on the service life of the cable, it is found that the influence of humidity on the service life of the cable is also composed of two parts, namely a linear part and a curve part. The curve part can be fitted by trigonometric functions to a certain extent. Therefore, according to the deviation between the average humidity of each quarter and the optimal usage humidity, the humidity influence correction value of the theoretical remaining service life of the target long-distance cable is determined. The calculation formula of the humidity influence correction value is as follows: Wherein, is the humidity influence correction value, and are preset constants, which can be measured through experiments, is the optimal usage humidity.

[0035] The wind speed influence correction value and the light influence correction value are calculated based on the second preset rule respectively. The second preset rule is set based on the influence relationship between the environmental data and the theoretical remaining service life. Since the influence of wind speed on the service life of the cable is usually negative, different from the influence of temperature and humidity on the service life of the cable, the closer the temperature is to the optimal usage temperature, the lower the influence of temperature, and the same is true for humidity and temperature. The lower the wind speed, the smaller the negative influence on the service life of the cable. Therefore, the wind speed and the wind speed influence correction value are in a positive correlation relationship, that is, the greater the average wind speed of each quarter, the greater the wind speed influence correction value required for correction. In practical applications, through simulation research, the relationship between the two is roughly a polynomial relationship. Therefore, according to the average wind speed of each quarter, the wind speed influence correction value of the theoretical remaining service life of the target long-distance cable is determined. The calculation formula of the wind speed influence correction value is as follows: Wherein, is the wind speed influence correction value, , and are preset constants and can be measured through experiments.

[0036] Since the influence of light on the service life of the cable is usually also negative, which is the same as the influence of wind speed on the service life of the cable, the lower the light intensity, the smaller the negative impact on the service life of the cable. Therefore, the light intensity and the light influence correction value are positively correlated, that is, the greater the quarterly average light intensity, the greater the light influence correction value required for correction. In practical applications, through simulation studies, the relationship between the two is also roughly a polynomial relationship. Therefore, according to the quarterly average light intensity, the light influence correction value for the theoretical remaining service life of the target long-distance cable is determined. The calculation formula for the light influence correction value is as follows: where, is the light influence correction value, , and are preset constants and can be measured through experiments.

[0037] S4. Perform a first-level correction on the theoretical remaining service life of each corresponding cable sub-section according to the life influence correction value of each cable sub-section, and perform a second-level correction on the first-level corrected theoretical remaining service life according to the obtained fault data of the target long-distance cable to obtain the actual remaining service life of each cable sub-section; after obtaining the temperature influence correction value, humidity influence correction value, wind speed influence correction value, and light influence correction value of each cable sub-section, for each cable sub-section respectively, perform a first-level correction on the theoretical remaining service life of the cable sub-section through the corresponding temperature influence correction value, humidity influence correction value, wind speed influence correction value, and light influence correction value of the cable sub-section to obtain the first-level corrected theoretical remaining service life corresponding to each cable sub-section. Specifically, calculate the weighted sum of the corresponding temperature influence correction value, humidity influence correction value, wind speed influence correction value, and light influence correction value of each cable sub-section to obtain the comprehensive correction value of each cable sub-section, and calculate the first difference between the theoretical remaining service life of each cable sub-section and the comprehensive correction value of the corresponding cable sub-section. This first difference is the first-level corrected theoretical remaining service life corresponding to the cable sub-section. For the weights of the temperature influence correction value, humidity influence correction value, wind speed influence correction value, and light influence correction value, the method of simulation experiments is used for fitting.

[0038] In an embodiment of the present application, after the first-level correction of the theoretical remaining service life by the temperature influence correction value, humidity influence correction value, wind speed influence correction value, and light influence correction value, it is necessary to perform a second-level correction by using the failure data of each cable sub-section obtained. The impact of cable fault repair on the theoretical remaining service life of the cable is direct. Different failure times can be fitted into specific years of influence on the cable service life. The theoretical remaining service life after the first-level correction is second-level corrected according to the years of influence on the cable service life to obtain the final actual remaining service life of each cable sub-section. Specifically, calculate the second difference between the theoretical remaining service life after the first-level correction and the years of influence on the cable service life, and this second difference is the actual remaining service life corresponding to this cable sub-section.

[0039] S5. Determine the image acquisition period of each cable sub-section according to the relationship between the actual remaining service life of each cable sub-section and a preset threshold; in an embodiment of the present application, the preset threshold is used to judge the actual remaining service life of each cable sub-section. If the actual remaining service life of the cable sub-section is greater than the preset threshold, the image of this cable sub-section is acquired using a preset first image acquisition period; if the actual remaining service life of the cable sub-section is less than or equal to the preset threshold, the image of this cable sub-section is acquired using a preset second image acquisition period, where the first image acquisition period is greater than the second image acquisition period. Similarly, the image acquisition period can also be determined by means of interval mapping. A mapping relationship table between different actual remaining service life intervals and image acquisition periods is constructed in advance, and the actual remaining service life of a certain cable sub-section obtained is compared with the constructed mapping relationship table to check the actual remaining service life interval in which the actual remaining service life of this cable sub-section is located, and the image acquisition period corresponding to this actual remaining service life interval is the image acquisition period of this cable sub-section.

[0040] Each cable sub-section has its corresponding image acquisition period. Periodic image acquisition of the corresponding cable sub-section is performed according to this image acquisition period to obtain cable image data. Further, a preset cable local defect recognition method is used to perform local defect recognition on the cable image data to obtain the local defect recognition result of each cable sub-section. For the selection of the cable local defect recognition method, the cable image data can be analyzed by an image recognition model that has been pre-constructed and trained to identify whether there are local defects in this cable sub-section, or other methods can be used for local defect recognition. There is no specific limitation on which local defect recognition method is used to perform local defect recognition on this cable image data. Therefore, the present application can be combined with any local defect recognition method and has a wide range of applications.

[0041] In a preferred embodiment of the present invention, according to the acquired environmental data of the target long-distance cable, the target long-distance cable is divided into multiple cable sub-sections; based on the acquired cable attribute information and actual service life corresponding to each cable sub-section, the theoretical remaining service life of each cable sub-section is determined; according to the environmental data corresponding to each cable sub-section, the life impact correction value of each cable sub-section is calculated, and the life impact correction value includes: temperature impact correction value, humidity impact correction value, wind speed impact correction value and light impact correction value, the temperature impact correction value and humidity impact correction value are calculated based on the first preset rule respectively, and the wind speed impact correction value and light impact correction value are calculated based on the second preset rule respectively; the first preset rule is calculated based on the deviation between the environmental data and the corresponding optimal use value, and the second preset rule is calculated based on the influence relationship between the environmental data and the theoretical remaining service life; the theoretical remaining service life of the corresponding cable sub-section is corrected at the first level according to the life impact correction value of each cable sub-section, and the theoretical remaining service life after the first-level correction is corrected at the second level according to the acquired fault data of the target long-distance cable, so as to obtain the actual remaining service life of each cable sub-section; according to the relationship between the actual remaining service life of each cable sub-section and the preset threshold, the image acquisition period of each cable sub-section is determined. The method for determining the image acquisition period of the long-distance cable disclosed in the present application can accurately divide the long-distance cable into sections and calculate the actual remaining service life, and divide different image acquisition periods for each cable sub-section based on the remaining service life, ensuring the timeliness and efficiency of the image acquisition of the long-distance cable.

[0042] Correspondingly, as Figure 2 shown, based on a method for determining the image acquisition period of a long-distance cable, an embodiment of the present invention further provides a system for determining the image acquisition period of a long-distance cable to implement the method for determining the image acquisition period of the long-distance cable disclosed in the embodiment of the present invention. The system includes: a cable sub-section division unit 1, a theoretical remaining service life determination unit 2, an impact correction value calculation unit 3, a remaining service life correction unit 4 and an image acquisition period determination unit 5; The cable sub-section division unit 1: is used to divide the target long-distance cable into multiple cable sub-sections according to the acquired environmental data of the target long-distance cable; The theoretical remaining service life determination unit 2: is used to determine the theoretical remaining service life of each cable sub-section based on the acquired cable attribute information and actual service life corresponding to each cable sub-section; The influence correction value calculation unit 3: is configured to calculate the life influence correction value of each cable sub-section according to the environmental data corresponding to each cable sub-section. The life influence correction value includes: temperature influence correction value, humidity influence correction value, wind speed influence correction value, and light influence correction value. The temperature influence correction value and the humidity influence correction value are set as the deviation between the corresponding average value and the optimal usage value, and the wind speed influence correction value and the light influence correction value are set as the influence of the corresponding average value on the theoretical remaining service life; The remaining service life correction unit 4: is configured to perform a primary correction on the theoretical remaining service life of the corresponding cable sub-section according to the life influence correction value of each cable sub-section, and perform a secondary correction on the theoretically remaining service life after the primary correction according to the obtained fault data of the target long-distance cable, so as to obtain the actual remaining service life of each cable sub-section; The image acquisition period determination unit 5: is configured to determine the image acquisition period of each cable sub-section according to the relationship between the actual remaining service life of each cable sub-section and a preset threshold.

[0043] For the specific limitations of a system for determining the image acquisition period of a long-distance cable, reference can be made to the above limitations on the method for determining the image acquisition period of a long-distance cable, which will not be elaborated here. Those of ordinary skill in the art can realize that, in combination with the various modules and steps described in the embodiments disclosed in the present invention, they can be implemented by hardware, software, or a combination of both. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0044] As Figure 3 shown, an embodiment of the present invention provides a computer device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the steps in the embodiment of the method for determining the image acquisition period of a long-distance cable as described above, such as Figure 1 the steps S1 to S5 described therein.

[0045] Those skilled in the art can understand that the schematic Figure 3 is only an example of a computer device, and does not constitute a limitation on the computer device. It may include more or fewer components than shown in the figure, or combine some components, or different components. For example, the computer device may further include input / output devices, network access devices, buses, etc.

[0046] The processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The processor is the control center of the computer device, connecting various parts of the entire computer device through various interfaces and lines.

[0047] The memory can be used to store the computer program and / or modules. The processor realizes various functions of the computer device by running or executing the computer program and / or modules stored in the memory, and by calling the data stored in the memory. The memory may mainly include a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function (such as a sound playback function, an image playback function, etc.); the data storage area can store data created according to the use of the mobile phone (such as audio data, phone book, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0048] Among them, if the modules integrated in the computer device are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above-mentioned embodiment methods of the present invention, it can also be completed by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0049] Those of ordinary skill in the art can understand that to implement all or part of the processes in the above-mentioned embodiment methods, it can be completed by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the above-mentioned method embodiments. Among them, the storage medium can be a magnetic disk, optical disk, read-only memory (ROM, Read-Only Memory), or random access memory (Random Access Memory, RAM), etc.

[0050] Correspondingly, an embodiment of the present invention provides a computer-readable storage medium, the computer-readable storage medium includes a stored computer program, wherein when the computer program runs, it controls the device where the computer-readable storage medium is located to execute the steps in the above-mentioned method embodiment for determining the image acquisition cycle of the long-distance cable, for example Figure 1 the steps S1 to S5 described above.

[0051] In summary, a method, a system, a device, a medium for determining the image acquisition period of a long-distance cable, and a corresponding method for identifying local defects of a long-distance cable provided by the embodiments of the present application solve the technical problem of how to improve the integrity and intelligent management level of data in the new energy industry. The method includes: dividing a target long-distance cable into multiple cable sub-sections according to the obtained environmental data of the target long-distance cable; determining the theoretical remaining service life of each cable sub-section based on the obtained cable attribute information and actual service duration corresponding to each cable sub-section; calculating a life impact correction value for each cable sub-section according to the environmental data corresponding to each cable sub-section, where the life impact correction value includes: a temperature impact correction value, a humidity impact correction value, a wind speed impact correction value, and a light impact correction value. The temperature impact correction value and the humidity impact correction value are calculated based on a first preset rule respectively, and the wind speed impact correction value and the light impact correction value are calculated based on a second preset rule respectively; the first preset rule is calculated based on the deviation between the environmental data and the corresponding optimal usage value, and the second preset rule is calculated based on the impact relationship between the environmental data and the theoretical remaining service life; performing a first-level correction on the theoretical remaining service life of the corresponding cable sub-section according to the life impact correction value of each cable sub-section, and performing a second-level correction on the theoretically remaining service life after the first-level correction according to the obtained fault data of the target long-distance cable to obtain the actual remaining service life of each cable sub-section; determining the image acquisition period of each cable sub-section according to the relationship between the actual remaining service life of each cable sub-section and a preset threshold. The method for determining the image acquisition period of the long-distance cable disclosed in the present application can accurately divide the long-distance cable into sections and calculate the actual remaining service life, and based on the remaining service life, divide different image acquisition periods for each cable sub-section, ensuring the timeliness and efficiency of the long-distance cable image acquisition.

[0052] Each embodiment in this specification is described in a progressive manner. For parts that are the same or similar in each embodiment, they can be referred to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, it is described relatively simply. For related parts, refer to the partial description of the method embodiment. It should be noted that the above technical features of the embodiments can be combined arbitrarily. For the sake of brevity, not all possible combinations of the above technical features in the embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0053] The above-described embodiments merely represent several preferred embodiments of the present application. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the patented application. It should be noted that for those of ordinary skill in the art, without departing from the technical principles of the present application, several improvements and substitutions can be made, and these improvements and substitutions should also be regarded as within the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the protection scope of the claims described above.

Claims

1. A method for determining the image acquisition period of a long-distance cable, characterized in that The method comprises: Dividing the target long-distance cable into a plurality of cable subsections according to the acquired environmental data of the target long-distance cable; Determining a theoretical remaining service life of each of the cable subsections based on the obtained cable attribute information and actual usage duration corresponding to each of the cable subsections; Calculating a life impact correction value for each cable subsection based on the environmental data corresponding to each cable subsection, the life impact correction values including: a temperature impact correction value, a humidity impact correction value, a wind speed impact correction value, and a light impact correction value, wherein the temperature impact correction value and the humidity impact correction value are respectively calculated based on a first preset rule, and the wind speed impact correction value and the light impact correction value are respectively calculated based on a second preset rule; the first preset rule is calculated based on a deviation between the environmental data and a corresponding optimal usage value, and the second preset rule is calculated based on an influence relationship between the environmental data and the theoretical remaining service life; Performing a primary correction on the theoretical remaining service life of the corresponding cable sub-section according to the life impact correction value of each cable sub-section, and performing a secondary correction on the theoretical remaining service life after the primary correction according to the acquired fault data of the target long-distance cable, to obtain the actual remaining service life of each cable sub-section; The image acquisition period of each cable sub-section is determined according to the relationship between the actual remaining service life of each cable sub-section and a preset threshold.

2. The method for determining the image acquisition period of a long-distance cable according to claim 1, characterized in that, The step of dividing the target long-distance cable into a plurality of cable sub-sections according to the acquired environmental data of the target long-distance cable comprises: performing first segmentation processing on the target long-distance cable according to the obtained laying time of the target long-distance cable to obtain a plurality of first cable segments; performing a second segmentation process on each of the first cable segments according to a preset basic length unit to obtain a plurality of second cable segments; Based on the environmental data of the target long-distance cable obtained, the environmental deviation value between two adjacent second cable segments is calculated, and it is determined whether the environmental deviation value is less than a preset environmental deviation threshold. If so, the two adjacent second cable segments are divided into the same cable sub-segment; if not, the two adjacent second cable segments are divided into different cable sub-segments to divide the target long-distance cable into multiple cable sub-segments.

3. The method for determining the image acquisition period of a long-distance cable according to claim 2, wherein, The calculation formula of the environmental deviation value is: Wherein: is the environmental deviation value between the second cable section and the second cable section, is the average temperature in the quarter within the second cable section, is the average temperature in the quarter within the second cable section, is the temperature influence coefficient, is the average humidity in the quarter within the second cable section, is the average humidity in the quarter within the second cable section, is the humidity influence coefficient, is the average wind speed in the quarter within the second cable section, is the average wind speed in the quarter within the second cable section, is the mechanical fatigue coefficient, is the average light intensity in the quarter within the second cable section, is the average light intensity in the quarter within the second cable section, is the light intensity influence coefficient.

4. The method for determining the image acquisition period of a long-distance cable according to claim 1, characterized in that The determining of the theoretical remaining service life of each cable sub-segment based on the obtained cable attribute information and actual usage duration corresponding to each cable sub-segment includes: Obtain cable attribute information and actual usage time corresponding to all cable models, and conduct service life simulation tests on all cable models based on the cable attribute information. According to the service life simulation test results, obtain a relationship between the cable attribute information and the cable benchmark service life. The cable attribute information includes: rated voltage, rated current, insulation material, conductor cross-sectional area, cable structure information, laying method, and installation height; Based on the above relationship, a prediction model for the reference service life of the cable is constructed, and the cable attribute information corresponding to each cable sub-section is input into the prediction model for the reference service life of the cable to obtain the reference service life of each cable sub-section; Based on the reference service life of each cable sub-section and the actual service duration of the corresponding cable sub-section, the remaining service life of each cable sub-section is obtained.

5. The method for determining the image acquisition period of a long-distance cable according to claim 3, wherein The calculation formula for the temperature influence correction value is: Among them, is the temperature influence correction value, and are preset constants, is the optimal operating temperature; The calculation formula for the humidity influence correction value is: Among them, is the humidity influence correction value, and are preset constants, is the optimal operating humidity; The calculation formula for the wind speed influence correction value is: Among them, is the correction value affected by wind speed, , and are preset constants; The calculation formula for the light influence correction value is: Among them, is the light influence correction value, , and are preset constants.

6. The method for determining the image acquisition period of a long-distance cable according to claim 1, characterized in that The first-level correction of the theoretical remaining service life of each cable sub-section according to the life influence correction value of each cable sub-section includes: Calculating the weighted sum of the temperature influence correction value, the humidity influence correction value, the wind speed influence correction value, and the light influence correction value corresponding to each cable sub-section to obtain the comprehensive correction value of each cable sub-section; Based on the difference between the theoretical remaining service life of each cable sub-section and the comprehensive correction value of the corresponding cable sub-section, the first-level corrected theoretical remaining service life of each cable sub-section is obtained.

7. The method for determining the image acquisition period of a long-distance cable according to claim 1, characterized in that, The method further includes: Based on the image acquisition period of each cable sub-section, the cable image data of each cable sub-section is collected respectively; A preset method for identifying local defects of the cable is used to identify local defects in the cable image data to obtain the local defect identification result of each cable sub-section.

8. An image acquisition cycle determination system for a long-distance cable, which is used to implement the image acquisition cycle determination method for the long-distance cable according to any one of claims 1-7, and is characterized in that, The system includes: a cable sub-section division unit, a theoretical remaining service life determination unit, an influence correction value calculation unit, a remaining service life correction unit, and an image acquisition period determination unit; The cable sub-section division unit is used to divide the target long-distance cable into multiple cable sub-sections according to the obtained environmental data of the target long-distance cable; The theoretical remaining service life determination unit is used to determine the theoretical remaining service life of each cable sub-section based on the obtained cable attribute information and actual service duration corresponding to each cable sub-section; The influence correction value calculation unit is used to calculate the life influence correction value of each cable sub-section according to the obtained environmental data of each cable sub-section. The life influence correction value includes: temperature influence correction value, humidity influence correction value, wind speed influence correction value, and light influence correction value. The temperature influence correction value and the humidity influence correction value are calculated based on the first preset rule respectively, and the wind speed influence correction value and the light influence correction value are calculated based on the second preset rule respectively; the first preset rule is calculated based on the deviation between the environmental data and the corresponding optimal use value, and the second preset rule is calculated based on the influence relationship between the environmental data and the theoretical remaining service life; The remaining service life correction unit: configured to perform a primary correction on the theoretical remaining service life of the corresponding cable sub-section according to the life impact correction value of each cable sub-section, and perform a secondary correction on the theoretical remaining service life after the primary correction according to the obtained fault data of the target long-distance cable, so as to obtain the actual remaining service life of each cable sub-section; The image acquisition period determination unit is configured to determine the image acquisition period of each cable sub-section according to the relationship between the actual remaining service life of each cable sub-section and a preset threshold.

9. A computer device, characterized in that: The computer device includes a memory, a processor, and a transceiver, which are connected through a bus; the memory is used to store a set of computer program instructions and data, and transmit the stored data to the processor, and the processor executes the program instructions stored in the memory to execute the method for determining the image acquisition period of the long-distance cable according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: A computer program is stored in the computer-readable storage medium, and when the computer program is run, the method for determining the image acquisition period of the long-distance cable according to any one of claims 1 to 7 is implemented.

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