System and method for analyzing the aging degree of control cables based on environmentally friendly anti-interference performance

By building a cable distribution model in the cable aging detection system, collecting and analyzing the cable segment surface images and rebound animations, the problem of inefficient existing cable aging detection technology is solved, and efficient and accurate cable aging detection and evaluation is achieved.

CN119047184BActive Publication Date: 2025-04-29JIANGSU LONG E CABLE
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Patent Information

Application Number
CN202411163916.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-08-23
Publication Date
2025-04-29
Estimated Expiration
2044-08-23

AI Technical Summary

Technical Problem

The existing cable aging detection technology is inefficient, requires a lot of manpower and has a long inspection time, making it difficult to achieve large-scale cable aging detection.

Method used

An environmentally friendly anti-interference control cable aging degree analysis system is adopted. This system realizes automated analysis and evaluation of cable aging degree by constructing a cable distribution model, collecting cable segment surface images and rebound animations, and combining image analysis and sample test animations.

Benefits of technology

It improves the efficiency and accuracy of cable aging detection, reduces manpower investment and inspection time, and realizes reliable monitoring of the degree of cable aging, ensuring the safety and stability of cable operation.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The present invention relates to the field of cable technology, and in particular to a system and method for analyzing the aging degree of a cable based on environmentally friendly anti-interference control, comprising: an acquisition layer, an analysis layer and an evaluation layer; a cable distribution model is constructed in the acquisition layer, the acquisition layer synchronously acquires parameters for analyzing the aging degree of the cable based on the cable distribution model, the analysis layer synchronously receives the parameters for analyzing the aging degree of the cable acquired in the acquisition layer, analyzes the aging degree of the cable based on the parameters for analyzing the aging degree of the cable, and further corrects the analysis result of the aging degree of the cable. The present invention selects a cable segment on which an aging degree analysis needs to be performed in the cable distribution model by constructing a cable distribution model, further acquires an image on the selected cable segment, samples reserved cables at both ends of the cable segment, performs a pressure test, obtains a rebound animation of the sampled cable, and finally realizes the cable aging degree analysis and evaluation combining the cable segment image with the cable rebound animation.
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Description

Technical Field

[0001] The present invention relates to the field of cable technology, and in particular to a system and method for analyzing the aging degree of cables based on environmentally friendly anti-interference control. Background Art

[0002] Environmentally friendly anti-interference control cable is a high-performance cable product. It is made of environmentally friendly materials, which is in line with the concept of sustainable development and environmentally friendly. It has excellent anti-interference performance, can effectively resist external electromagnetic interference, ensure stable signal transmission, is suitable for a variety of complex industrial environments, and ensures efficient and reliable operation of the control system. It is an ideal choice in the modern industrial field.

[0003] The invention patent with application number 202311379155.6 discloses a method for evaluating the degree of cable aging, which is characterized by comprising: obtaining measured usage data, cable attribute information and environmental information of the cable to be evaluated, and determining similar cables in the detected cable data set based on the cable attribute information and the environmental information; obtaining the aging degree data and reference usage data of the similar cables; and generating the aging degree information of the cable to be evaluated based on the aging degree data of the similar cables, the reference usage data and the measured usage data.

[0004] The application aims to solve the problem that "the aging of wires will increase power consumption. After the line ages, if the outer insulating sheath is damaged, it will not only increase line loss and power consumption, but also cause circuit fires, and needs to be replaced in time. In the existing cable aging detection technology, most of the staff carry detection equipment to the site to conduct cable aging detection. For large-scale cable aging detection, manpower is wasted and the detection time is too long, resulting in low work efficiency."

[0005] However, there is currently no technology that analyzes cable aging based on image analysis combined with sampling sample test animation;

[0006] To this end, we proposed a system and method for analyzing the aging degree of control cables based on environmentally friendly and anti-interference properties. Summary of the invention

[0007] In view of the above-mentioned shortcomings of the prior art, the present invention provides an environmentally friendly and anti-interference control cable aging degree analysis system and method, which solves the technical problems raised in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] Firstly, the environmentally friendly and anti-interference control cable aging degree analysis system includes: acquisition layer, analysis layer and evaluation layer;

[0010] The cable distribution model is constructed in the collection layer. The collection layer synchronously collects the cable aging degree analysis parameters based on the cable distribution model. The analysis layer synchronously receives the cable aging degree analysis parameters collected in the collection layer, analyzes the cable aging degree based on the cable aging degree analysis parameters, and further corrects the cable aging degree analysis results. The evaluation layer further receives the corrected cable aging degree analysis results in the analysis layer, evaluates the current operation safety of the cable based on the cable aging degree analysis results, and performs a picking operation on the unsafe cables in the cable distribution model, and further feeds back to the system end user together with the evaluation results.

[0011] The analysis layer includes a receiving module, an analyzing module and a correcting module. The receiving module is used to receive the cable aging degree analysis parameters collected in the collection layer. The analyzing module is used to traverse the cable aging degree analysis parameters received by the receiving module, and analyze the cable aging degree based on the cable aging degree analysis parameters. The correcting module is used to receive the cable aging degree analysis result in the analyzing module, and further correct the analysis result in combination with the cable aging degree analysis parameters.

[0012] The cable aging degree analysis logic in the analysis module is expressed as:

[0013]

[0014] Where: k is the cable aging degree performance value; m is the pixel set of the cable segment surface image; h j is the gray value of the jth group of pixels; h RT is the total gray value of each pixel in the control cable segment image; G goal To analyze the surface glossiness of the target cable segment; G RT is the surface glossiness of the control cable segment; G is the glossiness; I reflected is the reflected light intensity; I incident is the incident light intensity; R roughness is the roughness factor; γ is the refractive index; C factor is the color influencing factor;

[0015] Among them, the reference cable segment image comes from the newly manufactured cable segment cut by the system end user with the same specifications and length as the target cable segment for analysis. The cable segment surface image and the reference cable segment image are preferentially converted into grayscale images when processed based on the cable aging degree analysis logic. The higher the cable aging degree expression value k, the lower the cable aging degree, and vice versa, the higher the cable aging degree. The refractive index γ obeys: Where: α is the molecular polarizability of the cable material; ρ is the density of the cable material. Based on formula (2), G in formula (1) RT and G goal Perform calculations.

[0016] Furthermore, the acquisition layer includes a construction module, a selection module and an acquisition module, the construction module is used to construct a cable distribution model, the selection module is used to receive the cable distribution model, select a cable segment as an acquisition target on the cable distribution model, and the acquisition module is used to obtain the acquisition target cable segment selected in the selection module, and perform the acquisition of parameters for cable aging degree analysis on the acquisition target cable;

[0017] Among them, during the operation stage of the construction module, the system-side user synchronously uploads the terminal position information of each cable segment to the construction module. The construction modules are interconnected based on the terminal position information of each cable segment and the upload sequence to build a cable distribution model. When the selection module selects the cable as the acquisition target on the cable distribution model, the selected acquisition target is no less than two groups of cable segments in the cable distribution model. The acquisition module is integrated with a camera and a storage device. The parameters for cable aging degree analysis collected by the acquisition module include cable segment image data and cable segment samples.

[0018] Furthermore, during the operation phase of the selection module, when selecting a cable as a collection target in the cable distribution model, the aging condition compliance of each cable segment in the cable distribution model is calculated, and based on the calculation results of the aging condition compliance of each cable segment, the cable segments in the cable distribution model are numbered and sorted, so that the aging condition compliance calculation result of the cable segment with the first position in the number sorting is the largest, and the aging condition compliance calculation result of the cable segment with the last position in the number sorting is the smallest. When the selection module selects a cable segment as a collection target, the cable segment with the largest aging condition compliance calculation result is preferentially selected;

[0019] The calculation logic of the cable segment aging condition compliance is expressed as:

[0020]

[0021] Where: C is the cable segment aging condition compliance; I MAX I is the maximum current of the cable in history; MIN is the minimum current of the cable in history; t is the time the cable has been in use; n is the total number of times the cable partial discharge is collected; Q i is the cable partial discharge amount collected for the i-th time; ω1, ω2, (1-ω1-ω2) are weights;

[0022] in, Table pair The average of the total number of cable partial discharge collection times n comes from the cable partial discharge history collection operation within the cable usage time t. When the cable partial discharge is not collected in the corresponding cable history, Iterate with the current cable partial discharge amount, the sum of weights ω1, ω2, and (1-ω1-ω2) is 1, and ω1>(1-ω1-ω2)>ω2. The greater the cable segment aging condition compliance degree C, the easier the cable segment is to age, and vice versa.

[0023] Furthermore, when the acquisition module is running to collect parameters for cable aging analysis, the acquisition module is used to collect cable segment surface images, and the collected cable segment surface images are not less than three groups. The system end user synchronously intercepts cables with a length of not less than 0.5 cm at both ends of the cable segment, removes the conductor wrapped inside the cable, and uses a compression device to compress the cable with the conductor removed to half of its original length, and then releases it instantly, and collects the rebound animation of the cable with the conductor removed;

[0024] When the compression device releases the compressed cable without the conductor, the release distance is greater than the compressed length of the cable without the conductor, and the release speed is greater than the limit rebound speed of the cable without the conductor. The limit rebound speed is determined based on the cable manufacturing output stage. The rebound animation of the cable without the conductor and the surface image of the cable segment are stored in a storage device integrated in the acquisition module.

[0025] Furthermore, the receiving module receives the cable aging degree analysis parameters collected in the collection layer, that is, receives the rebound animation of the cable with the conductor removed and the cable segment surface image in the storage in the collection module;

[0026] When the analysis module is analyzing the cable aging degree, the cable aging degree analysis parameter used is the cable segment surface image. When the correction module is correcting the cable aging degree analysis result, the cable aging degree analysis parameter used is the rebound animation of the cable with the conductor removed.

[0027] The corrected cable aging degree analysis results are synchronously stored in the correction module. When the corrected cable aging degree analysis results are stored in the correction module, the source cables of the corrected cable aging degree analysis results are marked with corresponding numbers in the cable distribution model. The corrected cable aging degree analysis results stored in the correction module are differentiated and stored based on the marks, so that the marks of the corrected cable aging degree analysis results stored in the same differentiated storage interval are the same.

[0028] Furthermore, the correction logic for the cable aging degree analysis result in the correction module is expressed as:

[0029]

[0030] Where: K is the corrected cable aging analysis result; L beforeThe target cable length before compression is analyzed in the rebound animation of the cable with the conductor removed; L after The length of the target cable after it is compressed and released in the rebound animation of the cable without the conductor, and after it rebounds to a stationary state; s is the time it takes for the cable to rebound to a stationary state after it is compressed and released; s RT It is the time taken by a newly manufactured cable of equal length to rebound to a static state after being compressed and released; ε1 and ε2 are correction factors;

[0031] Among them, s RT It is known that the values ​​of correction factors ε1 and ε2 are both in the range of (0.9, 1.1), and ε1>1>ε2.

[0032] Furthermore, the evaluation layer includes a determination module, an evaluation module and a picking module. The determination module is used to set a safety determination threshold, receive the cable aging degree analysis result corrected in the correction module, and compare it with the safety determination threshold to determine whether the cable operation is safe. The evaluation module is used to continuously obtain the cable aging degree analysis result corrected received in the determination module to evaluate whether there is a safety risk in the cable operation. The picking module is used to obtain cables that are determined to be unsafe and cables that are evaluated to have safety risks, obtain corresponding marks of the cables, and apply the obtained marks to the cable distribution model constructed by the construction module to pick up the cable segment location information of the corresponding marks.

[0033] Among them, the safety judgment threshold set in the judgment module is customized by the system end user.

[0034] Furthermore, the evaluation logic of whether there is a safety risk in the cable operation in the evaluation module is expressed as:

[0035] K1-K2<K2-K3;

[0036] Where: K1, K2, K3 are the three sets of corrected cable aging degree analysis results stored in the correction module;

[0037] Among them, K1, K2, and K3 are arranged based on time series, K3 is a set of corrected cable aging degree analysis results newly stored in the correction module, and the above formula is established, indicating that there are safety risks in cable operation. K1, K2, and K3 are formula relationships other than the above formula, indicating that there are no safety risks in cable operation.

[0038] Furthermore, the receiving module is interactively connected to the collection module via a wireless network, the collection module is interactively connected to the selection module and the construction module via a wireless network, the receiving module is interactively connected to the analysis module and the correction module via a wireless network, the correction module is interactively connected to the determination module via a wireless network, and the determination module is interactively connected to the evaluation module and the picking module via a wireless network.

[0039] Secondly, the aging degree analysis method of the control cable based on environmentally friendly anti-interference performance includes the following steps:

[0040] Step 1: Upload the location information of each cable segment end, build a cable distribution model based on the location information of each cable segment end, and select the cable segment as the parameter collection target for cable aging degree analysis on the cable distribution model;

[0041] Step 2: Obtain a parameter collection target for cable aging degree analysis, collect a cable segment surface image and a cable sample on the collection target, further use a compression device to process the cable sample to obtain a cable rebound animation, and record the cable rebound animation and the cable segment surface image as parameters for cable aging degree analysis;

[0042] Step 3: Analyze the cable aging degree according to the cable segment surface image in the cable aging degree analysis parameters, and correct the cable aging degree analysis result according to the cable rebound animation in the cable aging degree analysis parameters;

[0043] Step 4: Correct the storage stage of the cable aging analysis results;

[0044] Step 5: Set a cable safety determination threshold, compare the corrected cable aging degree analysis result with the safety determination threshold, determine whether the cable is safe, continuously obtain the stored corrected cable aging degree analysis result, and evaluate whether the cable has a safety risk based on the corrected cable aging degree analysis result;

[0045] Step 6: When the judgment result is unsafe or the assessment result is that there is a safety risk, the corresponding cable segment is picked up in the cable distribution model and fed back to the user end.

[0046] Compared with the known public technology, the technical solution provided by the present invention has the following advantages:

[0047] Beneficial effects:

[0048] The present invention provides an aging degree analysis system for cable based on environmentally friendly and anti-interference control. During operation, the system selects cable segments that need to perform aging degree analysis in the cable distribution model by constructing a cable distribution model, further collects images on the selected cable segments, samples reserved cables at both ends of the cable segments, and performs pressure tests to obtain rebound animations of the sampled cables, thereby finally realizing cable aging degree analysis and evaluation combining cable segment images with cable rebound animations. In the specific implementation stage, the two types of analysis and evaluation data can also be used independently, thereby bringing more reliable monitoring effects to the safe management of cable operation and ensuring stable cable operation and power transportation. At the same time, a method for analyzing the aging degree of cable based on environmentally friendly and anti-interference control is provided to provide further operation logic support for the above-mentioned system, thereby ensuring that the technical solution composed of the system and method is more stably and reliably applied to cable aging degree analysis and cable safety management. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0050] Figure 1 It is a structural diagram of the cable aging degree analysis system based on environmentally friendly anti-interference control;

[0051] Figure 2 It is a flow chart of the method for analyzing the aging degree of control cables based on environmentally friendly anti-interference performance;

[0052] Figure 3 A schematic diagram illustrating the cable compression process in the present invention;

[0053] Figure 4 This is a schematic diagram of the structure after the conductor is removed from the cable in the present invention;

[0054] The numbers in the figure represent: 1. Compression equipment; 2. Cutting cable; 3. Compression direction; 4. Release direction. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] The present invention will be further described below in conjunction with the embodiments.

[0057] Embodiment 1:

[0058] The environmentally friendly anti-interference control cable aging degree analysis system of this embodiment is as follows: Figure 1 As shown, it includes: collection layer, analysis layer and evaluation layer;

[0059] The cable distribution model is constructed in the collection layer. The collection layer synchronously collects the cable aging degree analysis parameters based on the cable distribution model. The analysis layer synchronously receives the cable aging degree analysis parameters collected in the collection layer, analyzes the cable aging degree based on the cable aging degree analysis parameters, and further corrects the cable aging degree analysis results. The evaluation layer further receives the corrected cable aging degree analysis results in the analysis layer, evaluates the current operation safety of the cable based on the cable aging degree analysis results, and performs a picking operation on the unsafe cables in the cable distribution model, and further feeds back to the system end user together with the evaluation results.

[0060] The collection layer includes a construction module, a selection module and a collection module. The construction module is used to construct a cable distribution model. The selection module is used to receive the cable distribution model and select a cable segment as a collection target on the cable distribution model. The collection module is used to obtain the collection target cable segment selected in the selection module and perform the collection of parameters for cable aging degree analysis on the collection target cable.

[0061] Among them, during the operation phase of the construction module, the system end user synchronously uploads the location information of the ends of each cable segment to the construction module. The construction modules are interconnected based on the location information of the ends of each cable segment and the upload sequence to build a cable distribution model. When the selection module selects the cable as the acquisition target on the cable distribution model, the selected acquisition target is no less than two groups of cable segments in the cable distribution model. The acquisition module is integrated with a camera and a storage device. The parameters for cable aging degree analysis collected by the acquisition module include cable segment image data and cable segment samples.

[0062] The analysis layer includes a receiving module, an analysis module and a correction module. The receiving module is used to receive the cable aging degree analysis parameters collected in the collection layer. The analysis module is used to traverse the cable aging degree analysis parameters received by the receiving module, and analyze the cable aging degree based on the cable aging degree analysis parameters. The correction module is used to receive the cable aging degree analysis result in the analysis module, and further correct the analysis result in combination with the cable aging degree analysis parameters.

[0063] The cable aging degree analysis logic in the analysis module is expressed as:

[0064]

[0065] Where: k is the cable aging degree performance value; m is the pixel set of the cable segment surface image; h j is the gray value of the jth group of pixels; h RT is the total gray value of each pixel in the control cable segment image; G goal To analyze the surface glossiness of the target cable segment; G RT is the surface glossiness of the control cable segment; G is the glossiness; I reflected is the reflected light intensity; I incident is the incident light intensity; R roughness is the roughness factor; γ is the refractive index; C factor is the color influencing factor;

[0066] Among them, the reference cable segment image comes from the newly manufactured cable segment cut by the system end user with the same specifications and length as the target cable segment for analysis. The cable segment surface image and the reference cable segment image are preferentially converted into grayscale images when processed based on the cable aging degree analysis logic. The higher the cable aging degree expression value k, the lower the cable aging degree, and vice versa, the higher the cable aging degree. The refractive index γ obeys: Where: α is the molecular polarizability of the cable material; ρ is the density of the cable material. Based on formula (2), G in formula (1) RT and G goal Perform calculations;

[0067] The evaluation layer includes a determination module, an evaluation module and a picking module. The determination module is used to set a safety determination threshold, receive the cable aging degree analysis results corrected in the correction module, and compare them with the safety determination threshold to determine whether the cable operation is safe. The evaluation module is used to continuously obtain the cable aging degree analysis results corrected received in the determination module, and evaluate whether there is a safety risk in the cable operation. The picking module is used to obtain cables that are determined to be unsafe and cables that are evaluated to have safety risks, obtain the corresponding marks of the cables, and apply the obtained marks to the cable distribution model constructed by the construction module to pick up the cable segment location information of the corresponding marks;

[0068] Among them, the safety judgment threshold set in the judgment module is customized by the system end user;

[0069] The evaluation logic of whether there is a safety risk in the cable operation in the evaluation module is expressed as:

[0070] K1-K2<K2-K3;

[0071] Where: K1, K2, K3 are the three sets of corrected cable aging degree analysis results stored in the correction module;

[0072] Among them, K1, K2, and K3 are arranged based on time sequence, K3 is a set of corrected cable aging degree analysis results stored in the correction module, and the above formula is established, indicating that there is a safety risk in cable operation, and K1, K2, and K3 are formula relationships other than the above formula, indicating that there is no safety risk in cable operation;

[0073] The receiving module is interactively connected to the acquisition module through a wireless network, the acquisition module is interactively connected to the selection module and the construction module through a wireless network, the receiving module is interactively connected to the analysis module and the correction module through a wireless network, the correction module is interactively connected to the determination module through a wireless network, and the determination module is interactively connected to the evaluation module and the picking module through a wireless network.

[0074] In this embodiment, the construction module runs to build the cable distribution model, the selection module synchronously receives the cable distribution model, selects the cable segment as the acquisition target on the cable distribution model, the acquisition module further obtains the acquisition target cable segment selected in the selection module, and performs the acquisition of the cable aging degree analysis parameters for the acquisition target cable, the receiving module receives the cable aging degree analysis parameters collected in the acquisition layer in real time, the analysis module post-operates to traverse the cable aging degree analysis parameters received by the receiving module, analyzes the cable aging degree based on the cable aging degree analysis parameters, and then the correction module receives the cable aging degree analysis result in the analysis module, and further corrects the analysis result in combination with the cable aging degree analysis parameters, the determination module synchronously sets the safety determination threshold, receives the cable aging degree analysis result corrected in the correction module, and compares it with the safety determination threshold to determine whether the cable operation is safe, and then the evaluation module continuously obtains the cable aging degree analysis result corrected received in the determination module to evaluate whether there is a safety risk in the cable operation, and finally obtains the cable determined to be unsafe and the cable evaluated to be at a safety risk through the picking module, obtains the corresponding mark of the cable, and applies the acquired mark to pick up the corresponding marked cable segment position information in the cable distribution model constructed by the construction module.

[0075] Through the operation of the system in the above embodiment, the aging degree analysis and evaluation effect is brought to the cable, and when the environmentally friendly and anti-interference control cable safety management is applied, the safe operation of the environmentally friendly and anti-interference control cable is effectively guaranteed.

[0076] See also Figure 3 As shown, combined with the corresponding structures and arrow indications in the figure, the compression processing process of the cut cable is further demonstrated, thereby limiting the source of the cable rebound animation.

[0077] Embodiment 2:

[0078] In terms of specific implementation, based on Example 1, this example refers to Figure 1The environmentally friendly anti-interference control cable aging degree analysis system in Example 1 is further specifically described as follows:

[0079] In the operation stage of the selection module, when the cable is selected as the acquisition target in the cable distribution model, the aging condition compliance of each cable segment in the cable distribution model is calculated, and based on the calculation results of the aging condition compliance of each cable segment, the cable segments in the cable distribution model are sorted by number, so that the aging condition compliance calculation result of the cable segment with the first position in the number sorting is the largest, and the aging condition compliance calculation result of the cable segment with the last position in the number sorting is the smallest. When the selection module selects a cable segment as the acquisition target, the cable segment with the largest aging condition compliance calculation result is preferentially selected;

[0080] The calculation logic of cable segment aging condition compliance is expressed as:

[0081]

[0082] Where: C is the cable segment aging condition compliance; I MAX I is the maximum current of the cable in history; MIN is the minimum current of the cable in history; t is the time the cable has been in use; n is the total number of times the cable partial discharge is collected; Q i is the cable partial discharge amount collected for the i-th time; ω1, ω2, (1-ω1-ω2) are weights;

[0083] in, Table pair The average of the total number of cable partial discharge collection times n comes from the cable partial discharge history collection operation within the cable usage time t. When the cable partial discharge is not collected in the corresponding cable history, Iterate with the current cable partial discharge, the sum of weights ω1, ω2, (1-ω1-ω2) is 1, and ω1>(1-ω1-ω2)>ω2. The greater the cable segment aging condition compliance degree C, the easier the cable segment is to age, and vice versa, the less likely the cable segment is to age.

[0084] When the acquisition module is running to collect parameters for cable aging analysis, the acquisition module is used to collect cable segment surface images, and the collected cable segment surface images are not less than three groups. The system end user synchronously cuts cables with a length of not less than 0.5 cm at both ends of the cable segment, removes the conductor wrapped inside the cable, and uses a compression device to compress the cable with the conductor removed to half of its original length, and then releases it instantly, and collects the rebound animation of the cable with the conductor removed;

[0085] When the compression device releases the compressed cable without the conductor, the release distance is greater than the compressed length of the cable without the conductor, and the release speed is greater than the limit rebound speed of the cable without the conductor. The limit rebound speed is determined based on the cable manufacturing output stage. The rebound animation of the cable without the conductor and the surface image of the cable segment are stored in a storage device integrated in the acquisition module.

[0086] Through the above settings, the calculation logic of the cable segment aging condition compliance is further limited to ensure that when the system is in autonomous operation, it can adaptively select cable segments as analysis and evaluation targets in the cable distribution model, thereby improving the operation intelligence of the system.

[0087] like Figure 1 As shown, the receiving module receives the cable aging degree analysis parameters collected in the collection layer, that is, receives the rebound animation of the cable with the conductor removed and the cable segment surface image in the storage in the collection module;

[0088] When the analysis module is analyzing the cable aging degree, the cable aging degree analysis parameter used is the cable segment surface image. When the correction module is correcting the cable aging degree analysis result, the cable aging degree analysis parameter used is the rebound animation of the cable with the conductor removed.

[0089] The corrected cable aging degree analysis results are synchronously stored in the correction module. When the corrected cable aging degree analysis results are stored in the correction module, the source cables of the corrected cable aging degree analysis results are marked with corresponding numbers in the cable distribution model. The corrected cable aging degree analysis results stored in the correction module are differentiated and stored based on the marks, so that the marks of the corrected cable aging degree analysis results stored in the same differentiated storage interval are the same.

[0090] Through the above settings, further operation data support is provided for the operation of the system in Example 1, ensuring that the system in Example 1 operates stably and the operation process is more logical.

[0091] like Figure 1 As shown, the further correction logic of the cable aging degree analysis result in the correction module is expressed as:

[0092]

[0093] Where: K is the corrected cable aging analysis result; L before The target cable length before compression is analyzed in the rebound animation of the cable with the conductor removed; L after The length of the target cable after it is compressed and released in the rebound animation of the cable without the conductor, and after it rebounds to a stationary state; s is the time it takes for the cable to rebound to a stationary state after it is compressed and released; sRT It is the time taken by a newly manufactured cable of equal length to rebound to a static state after being compressed and released; ε1 and ε2 are correction factors;

[0094] Among them, s RT It is known that the values ​​of correction factors ε1 and ε2 are both in the range of (0.9, 1.1), and ε1>1>ε2.

[0095] Through the above logic formula, the further correction logic of the cable aging degree analysis results in the correction module is limited, ensuring that the correction module can stably correct the cable aging degree analysis results and feed back to the system evaluation layer, thereby providing further operation data support for the operation of the evaluation layer in the system.

[0096] Embodiment 3:

[0097] In terms of specific implementation, based on Example 1, this example refers to Figure 2 The environmentally friendly anti-interference control cable aging degree analysis system in Example 1 is further specifically described as follows:

[0098] The method for analyzing the aging degree of control cables based on environmentally friendly anti-interference performance includes the following steps:

[0099] Step 1: Upload the location information of each cable segment end, build a cable distribution model based on the location information of each cable segment end, and select the cable segment as the parameter collection target for cable aging degree analysis on the cable distribution model;

[0100] Step 2: Obtain a parameter collection target for cable aging degree analysis, collect a cable segment surface image and a cable sample on the collection target, further use a compression device to process the cable sample to obtain a cable rebound animation, and record the cable rebound animation and the cable segment surface image as parameters for cable aging degree analysis;

[0101] Step 3: Analyze the cable aging degree according to the cable segment surface image in the cable aging degree analysis parameters, and correct the cable aging degree analysis result according to the cable rebound animation in the cable aging degree analysis parameters;

[0102] Step 4: Correct the storage stage of the cable aging analysis results;

[0103] Step 5: Set a cable safety determination threshold, compare the corrected cable aging degree analysis result with the safety determination threshold, determine whether the cable is safe, continuously obtain the stored corrected cable aging degree analysis result, and evaluate whether the cable has a safety risk based on the corrected cable aging degree analysis result;

[0104] Step 6: When the judgment result is unsafe or the assessment result is that there is a safety risk, the corresponding cable segment is picked up in the cable distribution model and fed back to the user end.

[0105] In summary, during the operation of the system in the above embodiment, by constructing a cable distribution model, a cable segment that needs to perform aging analysis is selected in the cable distribution model, and images are further collected on the selected cable segment. Reserved cables are sampled at both ends of the cable segment, and pressure tests are performed to obtain the rebound animation of the sampled cable. Finally, the cable aging degree analysis and evaluation of the cable segment image combined with the cable rebound animation is realized. In the specific implementation stage, the two types of analysis and evaluation data can also be used independently, thereby bringing more reliable monitoring effects to the safe management of cable operation, ensuring the stability of cable operation and power transportation, and at the same time providing a cable aging degree analysis method based on environmentally friendly anti-interference control to provide further operation logic support for the above system, ensuring that the technical solution composed of the system and method is more stably and reliably applied to cable aging degree analysis and cable safety management.

[0106] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. Based on the environmentally friendly anti-interference control cable aging degree analysis system, it is characterized by: include: Collection layer, analysis layer and evaluation layer; The cable distribution model is constructed in the collection layer. The collection layer synchronously collects the cable aging degree analysis parameters based on the cable distribution model. The analysis layer synchronously receives the cable aging degree analysis parameters collected in the collection layer, analyzes the cable aging degree based on the cable aging degree analysis parameters, and further corrects the cable aging degree analysis results. The evaluation layer further receives the corrected cable aging degree analysis results in the analysis layer, evaluates the current operation safety of the cable based on the cable aging degree analysis results, and performs a picking operation on the unsafe cables in the cable distribution model, and further feeds back to the system end user together with the evaluation results. The analysis layer includes a receiving module, an analyzing module and a correcting module. The receiving module is used to receive the cable aging degree analysis parameters collected in the collection layer. The analyzing module is used to traverse the cable aging degree analysis parameters received by the receiving module, and analyze the cable aging degree based on the cable aging degree analysis parameters. The correcting module is used to receive the cable aging degree analysis result in the analyzing module, and further correct the analysis result in combination with the cable aging degree analysis parameters. The cable aging degree analysis logic in the analysis module is expressed as: Where: k is the cable aging degree performance value; m is the pixel set of the cable segment surface image; h j is the gray value of the jth group of pixels; h RT is the total gray value of each pixel in the control cable segment image; G goal To analyze the surface glossiness of the target cable segment; G RT is the surface glossiness of the control cable segment; G is the glossiness; I reflected is the reflected light intensity; I incident is the incident light intensity; R roughness is the roughness factor; γ is the refractive index; C factor is the color influencing factor; Among them, the reference cable segment image comes from the newly manufactured cable segment cut by the system end user with the same specifications and length as the target cable segment for analysis. The cable segment surface image and the reference cable segment image are preferentially converted into grayscale images when processed based on the cable aging degree analysis logic. The higher the cable aging degree expression value k, the lower the cable aging degree, and vice versa, the higher the cable aging degree. The refractive index γ obeys: Where: α is the molecular polarizability of the cable material; ρ is the density of the cable material. Based on formula (2), G in formula (1) RT and G goal Perform calculations.

2. The environmentally friendly anti-interference control cable aging degree analysis system according to claim 1 is characterized in that: The acquisition layer includes a construction module, a selection module and an acquisition module. The construction module is used to construct a cable distribution model. The selection module is used to receive the cable distribution model and select a cable segment as an acquisition target on the cable distribution model. The acquisition module is used to obtain the acquisition target cable segment selected in the selection module and perform the acquisition of parameters for cable aging degree analysis on the acquisition target cable. Among them, during the operation stage of the construction module, the system-side user synchronously uploads the terminal position information of each cable segment to the construction module. The construction modules are interconnected based on the terminal position information of each cable segment and the upload sequence to build a cable distribution model. When the selection module selects the cable as the acquisition target on the cable distribution model, the selected acquisition target is no less than two groups of cable segments in the cable distribution model. The acquisition module is integrated with a camera and a storage device. The parameters for cable aging degree analysis collected by the acquisition module include cable segment image data and cable segment samples.

3. The environmentally friendly anti-interference control cable aging degree analysis system according to claim 2 is characterized in that: During the operation phase of the selection module, when selecting a cable as a collection target in the cable distribution model, the aging condition compliance of each cable segment in the cable distribution model is calculated, and based on the calculation results of the aging condition compliance of each cable segment, the cable segments in the cable distribution model are sorted by number, so that the aging condition compliance calculation result of the cable segment with the first position in the number sorting is the largest, and the aging condition compliance calculation result of the cable segment with the last position in the number sorting is the smallest. When the selection module selects a cable segment as a collection target, the cable segment with the largest aging condition compliance calculation result is preferentially selected; The calculation logic of the cable segment aging condition compliance is expressed as: Where: C is the cable segment aging condition compliance; I MAX I is the maximum current of the cable in history; MIN is the minimum current of the cable in history; t is the time the cable has been in use; n is the total number of times the cable partial discharge is collected; Q i is the cable partial discharge amount collected for the i-th time; ω1, ω2, (1-ω1-ω2) are weights; in, Table pair The average of the total number of cable partial discharge collection times n comes from the cable partial discharge history collection operation within the cable usage time t. When the cable partial discharge is not collected in the corresponding cable history, Iterate with the current cable partial discharge amount, the sum of weights ω1, ω2, and (1-ω1-ω2) is 1, and ω1>(1-ω1-ω2)>ω2. The greater the cable segment aging condition compliance degree C, the easier the cable segment is to age, and vice versa.

4. The environmentally friendly anti-interference control cable aging degree analysis system according to claim 2 is characterized in that: When the acquisition module is running to collect parameters for cable aging analysis, the acquisition module is used to collect cable segment surface images, and the collected cable segment surface images are not less than three groups. The system end user synchronously intercepts cables with a length of not less than 0.5 cm at both ends of the cable segment, removes the conductor wrapped inside the cable, and uses a compression device to compress the cable with the conductor removed to half of its original length, and then releases it instantly, and collects the rebound animation of the cable with the conductor removed; When the compression device releases the compressed cable without the conductor, the release distance is greater than the compressed length of the cable without the conductor, and the release speed is greater than the limit rebound speed of the cable without the conductor. The limit rebound speed is determined based on the cable manufacturing output stage. The rebound animation of the cable without the conductor and the surface image of the cable segment are stored in a storage device integrated in the acquisition module.

5. The environmentally friendly anti-interference control cable aging degree analysis system according to claim 1 is characterized in that: The receiving module receives the parameters for analyzing the cable aging degree collected in the collection layer, that is, receives the rebound animation of the cable with the conductor removed and the surface image of the cable segment in the storage in the collection module; When the analysis module is analyzing the cable aging degree, the cable aging degree analysis parameter used is the cable segment surface image. When the correction module is correcting the cable aging degree analysis result, the cable aging degree analysis parameter used is the rebound animation of the cable with the conductor removed. The corrected cable aging degree analysis results are synchronously stored in the correction module. When the corrected cable aging degree analysis results are stored in the correction module, the source cables of the corrected cable aging degree analysis results are marked with corresponding numbers in the cable distribution model. The corrected cable aging degree analysis results stored in the correction module are differentiated and stored based on the marks, so that the marks of the corrected cable aging degree analysis results stored in the same differentiated storage interval are the same.

6. The environmentally friendly anti-interference control cable aging degree analysis system according to claim 1 is characterized in that: The further correction logic of the cable aging degree analysis result in the correction module is expressed as: Where: K is the corrected cable aging analysis result; L before Analyze the target cable pre-compression length in the rebound animation of the cable with the conductor removed; L after The length of the target cable after it is compressed and released in the rebound animation of the cable without the conductor, and after it rebounds to a stationary state; s is the time it takes for the cable to rebound to a stationary state after it is compressed and released; s RT It is the time taken by a newly manufactured cable of equal length to rebound to a static state after being compressed and released; ε1 and ε2 are correction factors; Among them, s RT It is known that the values ​​of correction factors ε1 and ε2 are both in the range of (0.9, 1.1), and ε1>1>ε2.

7. The environmentally friendly anti-interference control cable aging degree analysis system according to claim 1 is characterized in that: The evaluation layer includes a determination module, an evaluation module and a picking module. The determination module is used to set a safety determination threshold, receive the cable aging degree analysis result corrected in the correction module, and compare it with the safety determination threshold to determine whether the cable operation is safe. The evaluation module is used to continuously obtain the cable aging degree analysis result corrected received in the determination module, and evaluate whether there is a safety risk in the cable operation. The picking module is used to obtain cables that are determined to be unsafe and cables that are evaluated to have safety risks, obtain the corresponding marks of the cables, and apply the obtained marks to the cable distribution model constructed by the construction module to pick up the cable segment position information of the corresponding marks; Among them, the safety judgment threshold set in the judgment module is customized by the system end user.

8. The environmentally friendly anti-interference control cable aging degree analysis system according to claim 7 is characterized in that: The evaluation logic of whether there is a safety risk in the cable operation in the evaluation module is expressed as follows: K1-K2<K2-K3; Where: K1, K2, K3 are the three groups of corrected cable aging degree analysis results stored in the correction module; Among them, K1, K2, and K3 are arranged based on time series, K3 is a set of corrected cable aging degree analysis results newly stored in the correction module, and the above formula is established, indicating that there are safety risks in cable operation. K1, K2, and K3 are formula relationships other than the above formula, indicating that there are no safety risks in cable operation.

9. The environmentally friendly anti-interference control cable aging degree analysis system according to claim 1 is characterized in that: The receiving module is interactively connected to the collection module via a wireless network, the collection module is interactively connected to the selection module and the construction module via a wireless network, the receiving module is interactively connected to the analysis module and the correction module via a wireless network, the correction module is interactively connected to the determination module via a wireless network, and the determination module is interactively connected to the evaluation module and the picking module via a wireless network.

10. A method for analyzing the aging degree of an environmentally friendly and anti-interference control cable, the method being an implementation method of a system for analyzing the aging degree of an environmentally friendly and anti-interference control cable as claimed in any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Upload the location information of each cable segment end, build a cable distribution model based on the location information of each cable segment end, and select the cable segment as the parameter collection target for cable aging degree analysis on the cable distribution model; Step 2: Obtain a parameter collection target for cable aging degree analysis, collect a cable segment surface image and a cable sample on the collection target, further use a compression device to process the cable sample to obtain a cable rebound animation, and record the cable rebound animation and the cable segment surface image as parameters for cable aging degree analysis; Step 3: Analyze the cable aging degree according to the cable segment surface image in the cable aging degree analysis parameters, and correct the cable aging degree analysis result according to the cable rebound animation in the cable aging degree analysis parameters; Step 4: Correct the storage stage of the cable aging analysis results; Step 5: Set a cable safety determination threshold, compare the corrected cable aging degree analysis result with the safety determination threshold, determine whether the cable is safe, continuously obtain the stored corrected cable aging degree analysis result, and evaluate whether the cable has a safety risk based on the corrected cable aging degree analysis result; Step 6: When the judgment result is unsafe or the assessment result is that there is a safety risk, the corresponding cable segment is picked up in the cable distribution model and fed back to the user end.

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