Method and device for dynamically adjusting the detection period of a buffer gas in a high-voltage cable

Abstract

The application relates to the technical field of high-voltage cable buffer layer defect detection, and is a high-voltage cable buffer layer gas detection period dynamic adjustment method and device. T k‑1 A set or multiple sets of gas concentration groups of the kth buffer layer gas detection are collected; the average growth rate of the gas concentration between the (k-1)th buffer layer gas detection and the kth buffer layer gas detection is determined, and is substituted into a period adjustment rule to obtain the gas detection period T k The application breaks the limitation of the fixed detection period in the existing high-voltage cable buffer layer gas detection, adjusts the gas detection period adaptively through the average growth rate of the gas concentration between adjacent two buffer layer gas detections and in combination with the period adjustment rule, realizes dynamic management and control of the whole life cycle of the high-voltage cable buffer layer, and makes the operation and maintenance management more systematic and continuous.

Description

Technical Field

[0001] This invention relates to the field of high-voltage cable buffer layer defect detection technology, and is a method and device for dynamically adjusting the gas detection cycle of high-voltage cable buffer layers. Background Technology

[0002] With the rapid development of power systems, high-voltage cables are a core component in medium- and long-distance power transmission and urban power grid backbone construction. Their safe and stable operation directly affects the reliability and continuity of power supply of the power grid system, and plays a crucial role in ensuring the reliability of the power grid. The structure of a high-voltage cable typically includes a conductor, insulation layer, buffer layer, metal sheath, and outer sheath. The buffer layer usually uses composite materials to buffer mechanical stress and absorb moisture that penetrates into the cable, preventing damage to the main insulation of the high-voltage cable. Inside the high-voltage cable, it plays a role in mitigating mechanical stress, protecting the insulation layer, and improving the overall mechanical performance of the cable.

[0003] During the long-term service of high-voltage cables, the composite material of the buffer layer is susceptible to moisture damage and electrochemical corrosion. As a result, the high-voltage cable buffer layer defect caused by moisture damage is a new type of cable defect that has emerged in my country in recent years. The buffer layer is a key transition layer connecting the metal sheath (grounding) and the insulating semi-conductive shield (high voltage). Buffer layer defects can lead to poor contact with the main insulation of the high-voltage cable, resulting in partial discharge phenomena such as floating discharge, or even thermal ablation, and eventually developing into a breakdown fault, which endangers the safe operation of the cable.

[0004] Existing methods for detecting defects in high-voltage cable buffer layers mainly include partial discharge, X-ray, infrared thermography, and gas detection. Among these, since the fault process is accompanied by the generation of characteristic gases such as hydrogen (H2), acetylene (C2H2), carbon monoxide (CO), and methane (CH4), effective detection of these characteristic gases is the core means to achieve early warning and fault diagnosis of the buffer layer condition. Therefore, gas detection is an important method for assessing the defect status of the buffer layer. This involves collecting gas samples from the buffer layer and detecting the gas composition and concentration, which correspond to the defect status of the buffer layer, thereby detecting the current defect status of the buffer layer.

[0005] For example, existing patent document 1, publication number CN121298845A, discloses a gas detection device and method for a high-voltage cable buffer layer. The device features an interface-embedded micro gas pipeline made of polyimide corrugated tubing. This pipeline is spirally wound around the interface between the buffer layer and the aluminum sheath during the cable manufacturing stage. The end detection unit is installed outside the terminal tail tubes at both ends of the cable and is connected to the micro gas pipeline through a sealed joint. The detection unit integrates a sensor array for gas detection, a micro gas pump, and a data transmission module.

[0006] Current gas detection methods for high-voltage cable buffer layers usually adopt single gas detection with a unified gas detection cycle. However, defects in the cable buffer layer are a continuously developing process. Performing gas detection on the defect state of the cable buffer layer at a fixed cycle makes it difficult to assess the development status of buffer layer defects; and for different defect states of the cable buffer layer, the existing gas detection methods have not established a corresponding setting method for gas detection cycles. Contents of the Invention

[0007] The present invention provides a dynamic adjustment method and apparatus for the gas detection cycle of a high-voltage cable buffer layer, which overcomes the deficiencies of the prior art described above, and can effectively solve the problems in the existing detection methods for the defect state of the cable buffer layer that the gas detection cycle is single and cannot be dynamically adjusted according to the actual defect state of the buffer layer.

[0008] One of the technical solutions of the present invention is implemented by the following measures: A dynamic adjustment method for the gas detection cycle of a high-voltage cable buffer layer, comprising: Based on the gas detection cycle determined by the (k-1)-th buffer layer gas detection T k-1 , collecting one or more sets of gas concentration sets for the k-th buffer layer gas detection; determining the average growth rate of gas concentration between the (k-1)-th buffer layer gas detection and the k-th buffer layer gas detection, and substituting it into a cycle adjustment rule to obtain the gas detection cycle T k , wherein the cycle adjustment rule is set based on the cycle adjustment rate and different average gas concentration growth rate intervals.

[0009] The following is a further optimization or / and improvement of the above technical solution of the invention: The above cycle adjustment rule includes: If λ<a%, then T k = T k-1 (1+ a ); If a%≤λ<b%, then T k = T k-1 (1- a ); If b%≤λ≤c%, then T k = T k-1 (1-2 a ); If c%<λ, then T k = T k-1 (1-3α ).

[0010] The above also includes performing the first gas detection under initial conditions to determine the initial gas detection cycle, including: Obtain one or more sets of gas concentrations from the first buffer layer gas detection, and substitute them into the defect state quantification model to obtain the defect state quantification score corresponding to each set of gas concentrations. The defect state quantification model is shown below: in, For the first i Defect state quantification score corresponding to the set of gas concentrations; For the reason and The assigned coefficients are obtained from the linear correlation. For the first i The first set of gas concentrations j gas concentration; Based on the defect state quantification score corresponding to each set of gas concentrations, the buffer layer defect state corresponding to each set of gas concentrations is determined, and then the corresponding initial gas detection cycle is determined.

[0011] The construction of the above defect state quantification model includes: Obtain n sets of gas concentrations in the buffer layer of the high-voltage cable, where each set of gas concentrations is obtained through gas detection in the buffer layer. Correlation analysis was performed on the n sets of gas concentrations and their corresponding quantitative scores of buffer layer defect states to obtain the correlation coefficient for each gas concentration. The correlation analysis formula was established using the Pearson correlation coefficient method, as shown below: in, n The number of sets of gas concentrations; For the first j Correlation coefficient of gas concentration; For the first i The first set of gas concentrations j gas concentration; For the first j The average concentration of each gas; For the first i Quantitative score of the buffer layer defect state corresponding to the set of gas concentrations; The mean quantitative score of the buffer layer defect state corresponding to all gas concentration sets; The weight of each gas concentration is determined by using the correlation coefficient of each gas concentration; in, For the firstj The weight corresponding to each gas concentration; For the first j The absolute value of the correlation coefficient of each gas concentration; A defect state quantification model is established based on the weight of each gas concentration; in, For the first i Defect state quantification score corresponding to the set of gas concentrations; For the reason and The assigned coefficients are obtained from the linear correlation. For the first i The first set of gas concentrations j Gas concentration.

[0012] The above determines the corresponding initial gas detection cycle based on the buffer layer defect status corresponding to each set of gas concentrations. Specifically: the initial gas detection cycle is set to 1 year under normal conditions, 6 months under minor defects, 3 months under severe defects, and 1 month under emergency defects.

[0013] The second technical solution of the present invention is achieved through the following measures: a dynamic adjustment device for the gas detection cycle of a high-voltage cable buffer layer, comprising: The gas concentration acquisition unit determines the gas detection cycle based on the (k-1)th buffer layer gas detection. T k-1 Collect one or more sets of gas concentrations for the k-th buffer layer gas detection; The periodic dynamic adjustment unit determines the average gas concentration growth rate between the (k-1)th buffer layer gas detection and the kth buffer layer gas detection, and substitutes this rate into the periodic adjustment rule to obtain the gas detection period. T k The periodic adjustment rules are set based on the periodic adjustment rate and different gas concentration average growth rate ranges.

[0014] The following are further optimizations and / or improvements to the above-mentioned technical solution: The above also includes an initial gas detection cycle determination unit, including: The quantification score determination module obtains one or more sets of gas concentrations from the first buffer layer gas detection and substitutes them into the defect state quantification model to obtain the defect state quantification score corresponding to each set of gas concentrations. The defect state quantification model is shown below: in, For the firsti Defect state quantification score corresponding to the set of gas concentrations; For the reason and The assigned coefficients are obtained from the linear correlation. For the first i The first set of gas concentrations j gas concentration; The cycle determination module determines the buffer layer defect status corresponding to each gas concentration set based on the defect status quantification score, and then determines the corresponding initial gas detection cycle.

[0015] The above also includes a model building unit for constructing a defect state quantification model, including: Obtain n sets of gas concentrations in the buffer layer of the high-voltage cable, where each set of gas concentrations is obtained through gas detection in the buffer layer. Correlation analysis was performed on the n sets of gas concentrations and their corresponding quantitative scores of buffer layer defect states to obtain the correlation coefficient for each gas concentration. The correlation analysis formula was established using the Pearson correlation coefficient method, as shown below: in, n The number of sets of gas concentrations; For the first j Correlation coefficient of gas concentration; For the first i The first set of gas concentrations j gas concentration; For the first j The average concentration of each gas; For the first i Quantitative score of the buffer layer defect state corresponding to the set of gas concentrations; The mean quantitative score of the buffer layer defect state corresponding to all gas concentration sets; The weight of each gas concentration is determined by using the correlation coefficient of each gas concentration; in, For the first j The weight corresponding to each gas concentration; For the first j The absolute value of the correlation coefficient of each gas concentration; A defect state quantification model is established based on the weight of each gas concentration; in, For the first i Defect state quantification score corresponding to the set of gas concentrations; For the reason and The assigned coefficients are obtained from the linear correlation. For the first i The first set of gas concentrations j Gas concentration.

[0016] The third technical solution of the present invention is achieved through the following measures: an electronic device, characterized in that it includes a processor and a memory, wherein the memory stores a computer program, and the computer program is loaded and executed by the processor to realize the steps in the method for dynamic adjustment of the gas detection cycle of the high-voltage cable buffer layer.

[0017] The fourth technical solution of the present invention is achieved through the following measures: a storage medium, characterized in that the storage medium stores a computer program that can be read by a computer, the computer program being configured to execute the steps in the dynamic adjustment method for gas detection cycle of high-voltage cable buffer layer when running.

[0018] This invention breaks through the limitations of fixed detection cycles in existing high-voltage cable buffer layer gas detection. By combining the average growth rate of gas concentration between two adjacent buffer layer gas detections with cycle adjustment rules, the gas detection cycle is adaptively adjusted. In other words, by matching the average growth rate of gas concentration with the cycle adjustment rules, the development trend of buffer layer defects is continuously tracked, and the gas detection cycle is dynamically adjusted accordingly. This achieves dynamic management and control of the entire life cycle of the high-voltage cable buffer layer, making operation and maintenance management more systematic and continuous. Specifically, the gas detection cycle is extended for normal conditions, a longer gas detection cycle is used for minor defects to avoid resource waste, and a shorter gas detection cycle is used for serious and urgent defects to achieve real-time defect tracking. This effectively balances operation and maintenance costs and equipment safety, and reduces the risk of failure. Attached Figure Description

[0019] Appendix Figure 1 This is a schematic diagram of a method for dynamically adjusting the gas detection cycle of a high-voltage cable buffer layer, provided in an embodiment of the present invention.

[0020] Appendix Figure 2 This is a schematic diagram of the initial gas detection cycle determination method provided in an embodiment of the present invention.

[0021] Appendix Figure 3 A schematic diagram of a method for dynamically adjusting the gas detection cycle of a high-voltage cable buffer layer, provided in an embodiment of the present invention.

[0022] Appendix Figure 4 This is a schematic diagram of a dynamic adjustment device for gas detection cycle of a high-voltage cable buffer layer, provided in an embodiment of the present invention.

[0023] Appendix Figure 5A schematic diagram of another dynamic adjustment device for gas detection cycle of high-voltage cable buffer layer provided in an embodiment of the present invention. Detailed Implementation

[0024] The present invention is not limited to the following embodiments, and the specific implementation can be determined according to the technical solution of the present invention and the actual situation.

[0025] Those skilled in the art will understand that, unless specifically stated otherwise, in the embodiments of the present invention, a "module" or "unit" refers to a computer program or part of a computer program that has a predetermined function and works together with other related parts to achieve a predetermined goal, and can be implemented wholly or partially using software, hardware (such as processing circuitry or memory), or a combination thereof. Similarly, a processor (or multiple processors or memory) can be used to implement one or more modules or units. Furthermore, each module or unit can be part of an overall module or unit that includes the functionality of that module or unit.

[0026] In addition, in the embodiments of the present invention, "multiple" refers to two or more, and "first" and "second" are used to distinguish descriptions and should not be construed as implying relative importance.

[0027] This invention provides a method and apparatus for dynamically adjusting the gas detection cycle of a high-voltage cable buffer layer. This apparatus can be integrated into a computer device, which may be a server, a terminal, or other similar device; alternatively, it can be executed jointly by a terminal and a server. These examples should not be construed as limiting the invention.

[0028] The aforementioned terminals may include mobile phones, wearable smart devices, tablet computers, laptops, personal computers (PCs), and in-vehicle computers, etc., and this invention does not limit them. This invention also does not limit the number of terminal devices.

[0029] The aforementioned server can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. This invention does not limit these features.

[0030] For example, the gas detection cycle determined by the computer equipment based on the (k-1)th buffer layer gas detection. T k-1, collecting one or more sets of gas concentrations obtained from the k-th buffer layer gas detection; determining the average growth rate of gas concentration between the (k-1)-th buffer layer gas detection and the k-th buffer layer gas detection, and substituting it into a period adjustment rule to obtain the gas detection period T k , wherein the period adjustment rule is set based on a period adjustment rate and different intervals of the average growth rate of gas concentration.

[0031] On this basis, the technical solution of the present invention will be introduced and described below with reference to several examples.

[0032] Embodiment 1: As shown in the attached Figure 1 , an embodiment of the present invention discloses a dynamic adjustment method for a gas detection period of a high-voltage cable buffer layer, comprising: Step S110, based on the gas detection period determined by the (k-1)-th buffer layer gas detection T k-1 , collecting one or more sets of gas concentrations obtained from the k-th buffer layer gas detection; Step S120, determining the average growth rate of gas concentration between the (k-1)-th buffer layer gas detection and the k-th buffer layer gas detection, and substituting it into a period adjustment rule to obtain the gas detection period T k , wherein the period adjustment rule is set based on a period adjustment rate and different intervals of the average growth rate of gas concentration.

[0033] In this embodiment, the period adjustment rule is set based on the period adjustment rate and different intervals of the average growth rate of gas concentration. Specifically, the period adjustment rule includes: If λ<a%, then T k = T k-1 (1+ a ); If a%≤λ<b%, then T k = T k-1 (1- a ); If b%≤λ≤c%, then T k = T k-1 (1-2 a ); If c%<λ, then T k = T k-1 (1-3 α ); wherein λ is the average growth rate of gas concentration; a The periodic adjustment rate can be set based on the analysis of historical engineering data and engineering experience, and its reference value can be 0.1 to 0.3; a%, b% and c% are the average growth rate thresholds of gas concentration, which can be set based on the analysis of historical buffer layer defect data and engineering experience, and their reference values ​​can be 5%, 15% and 25% respectively.

[0034] This invention discloses a method for dynamically adjusting the gas detection cycle of a high-voltage cable buffer layer. This method breaks the limitation of fixed detection cycles in existing high-voltage cable buffer layer gas detection. By combining the average growth rate of gas concentration between two adjacent buffer layer gas detections with cycle adjustment rules, the gas detection cycle is adaptively adjusted. Specifically, by matching the average growth rate of gas concentration with the cycle adjustment rules, the development trend of buffer layer defects is continuously tracked, and the gas detection cycle is dynamically adjusted accordingly. This achieves dynamic management and control of the entire lifecycle of the high-voltage cable buffer layer, making operation and maintenance management more systematic and continuous. Specifically, the gas detection cycle is extended for normal conditions, a longer gas detection cycle is used for minor defects to avoid resource waste, and a shorter gas detection cycle is used for serious and urgent defects to achieve real-time defect tracking. This effectively balances operation and maintenance costs with equipment safety and reduces the risk of failure.

[0035] Example 2: As shown in the attached document Figure 2 As shown, the embodiments of the present invention are further optimizations of the above embodiments, and also include performing the first gas detection in the initial state to determine the initial gas detection cycle, including: Step S210: Obtain n sets of gas concentration sets for the high-voltage cable buffer layer, wherein each set of gas concentration sets is obtained through buffer layer gas detection. In this step, each gas concentration set is collected by a gas sampling device fixed to the buffer layer on the high-voltage cable, and each gas concentration set includes m gas concentration data points, with the sum of all gas concentration data points being 100%. Based on the high-voltage cable buffer layer gas detection method, the buffer layer defect status corresponding to each gas concentration set is determined, and the corresponding defect status quantification score is determined according to a preset buffer layer defect status quantification score comparison table.

[0036] Step S220: Perform correlation analysis between the n sets of gas concentrations and the corresponding quantitative scores of the buffer layer defect states to obtain the correlation coefficient for each gas concentration. The correlation analysis formula is established using the Pearson correlation coefficient method, as shown below: in, n The number of sets of gas concentrations; For the first j Correlation coefficient of gas concentration; For the firsti The first set of gas concentrations j gas concentration; For the first j The average concentration of each gas; For the first i Quantitative score of the buffer layer defect state corresponding to the set of gas concentrations; This represents the average quantitative score of the buffer layer defect state corresponding to all gas concentration sets.

[0037] Step S230: Determine the weight of each gas concentration using the correlation coefficient of each gas concentration; in, For the first j The weight corresponding to each gas concentration; For the first j The absolute value of the correlation coefficient of each gas concentration.

[0038] Step S240: Based on the weight of each gas concentration, establish a defect state quantification model; in, For the first i Defect state quantification score corresponding to the set of gas concentrations; For the reason and The assigned coefficients obtained from the linear correlation are calculated using the following formula: , For the first i The true score of the defect state corresponding to the set of gas concentrations. For the first i The first set of gas concentrations j For a gas concentration, if corresponding If it is negative, then ,right Rounding is performed to obtain an integer value and the corresponding defect status.

[0039] Step S250: Obtain one or more sets of gas concentrations from the first buffer layer gas detection, and substitute them into the defect state quantification model to obtain the defect state quantification score corresponding to each set of gas concentrations.

[0040] Step S260: Based on the defect state quantification score corresponding to each set of gas concentrations, determine the buffer layer defect state corresponding to each set of gas concentrations, and then determine the corresponding initial gas detection cycle.

[0041] In this step, the defect status of the buffer layer corresponding to each gas concentration set is determined based on the defect status quantification score. This involves substituting the defect status quantification score of each gas concentration set into a preset buffer layer defect status quantification score lookup table for matching, thus determining the buffer layer defect status for each gas concentration set. Then, the corresponding initial gas detection cycle is set according to a preset reference mapping relationship between the initial gas detection cycle and the buffer layer defect status. For example, for the normal state, the gas detection cycle is... T n For minor defects, the gas detection cycle is... T m For severe defects, the gas detection cycle is... T s For urgent defects, the gas detection cycle is... T c Based on engineering experience, the reference value for the initial gas detection cycle is: T n For 1 year, T m For 6 months, T s For 3 months, T c For 1 month.

[0042] In this embodiment, a defect state quantification model is constructed using the measured n sets of gas concentrations to quantify the defect state corresponding to the first buffer layer gas detection. Then, the corresponding initial gas detection cycle is determined instead of using a uniform and fixed gas detection cycle. This prevents the second buffer layer gas detection from being affected by the fixed initial gas detection cycle, thus laying a stable and effective foundation for the dynamic and accurate adjustment of the overall gas detection cycle.

[0043] Example 3: As shown in the attached document Figure 3 As shown in the figure, an embodiment of the present invention discloses a method for dynamically adjusting the gas detection cycle of a high-voltage cable buffer layer, comprising: Step S310: Obtain one or more sets of gas concentrations from the first buffer layer gas detection, and substitute them into the defect state quantification model to obtain the defect state quantification score corresponding to each set of gas concentrations. The defect state quantification model is as follows: in, For the first i Defect state quantification score corresponding to the set of gas concentrations; , For the first i The quantitative score of the buffer layer defect state corresponding to the set of gas concentrations. For the first ithe j th gas concentration of the gas concentration set.

[0044] Step S320: Based on the defect state quantization score corresponding to each gas concentration set, the buffer layer defect state corresponding to each gas concentration set is determined, and then the corresponding initial gas detection period T1 is determined, that is, T1=[T 11 , T 12 , ...... , T 1i .

[0045] Step S330: Using the gas detection period T1 determined by the first buffer layer gas detection, one or more sets of gas concentration sets for the second buffer layer gas detection are collected.

[0046] Step S340: Determine the average growth rate of gas concentration between the first buffer layer gas detection and the second buffer layer gas detection, and substitute it into the period adjustment rule to obtain the gas detection period T2, where the period adjustment rule includes: If λ<a%, then T k = T k-1 (1+ a ); If a%≤λ<b%, then T k = T k-1 (1- a ); If b%≤λ≤c%, then T k = T k-1 (1-2 a ); If c%<λ, then T k = T k-1 (1-3 a ).

[0047] Step S350: Based on the gas detection period T2 determined by the second buffer layer gas detection, repeat steps S330 to S340 to dynamically adjust the gas detection period.

[0048] Embodiment 4: In the embodiment of the present invention, the period adjustment rate is set a to 0.15, and the period adjustment rule is as follows: If λ<5%, then T k = T k-1 (1+0.15); If 5% ≤ λ < 15%, then T k = T k-1 (1-0.15); If 15%≤λ≤25%, then T k = T k-1 (1-2 × 0.15); If 25% < λ, then T k = T k-1 (1-3 × 0.15).

[0049] The table below shows the quantitative score comparison table for determining the four buffer layer defect states: Based on the above settings, the dynamic adjustment method for gas detection cycle of high-voltage cable buffer layer disclosed in this invention is implemented as follows: (1) Obtain the eight gas concentration sets of the high-voltage cable buffer layer, as shown in Table 2: (2) Correlation analysis was performed on the eight gas concentration sets and the corresponding quantitative scores of the buffer layer defect status to obtain the correlation coefficient of each gas concentration. .

[0050] (3) Using the correlation coefficient of each gas concentration, determine the weight of each gas concentration as follows: .

[0051] (4) Based on the weight of each gas concentration, establish a defect state quantification model; in, For the first i Defect state quantification score corresponding to the set of gas concentrations; , For the first i The quantitative score of the buffer layer defect state corresponding to the set of gas concentrations. For the first i The first set of gas concentrations j Gas concentration.

[0052] (5) Obtain the 8 sets of gas concentrations from the first buffer layer gas detection, and substitute them into the defect state quantification model to obtain the defect state quantification score corresponding to each set of gas concentrations, i.e. Table 3 shows the eight gas concentration sets corresponding to the first buffer layer gas detection. .

[0053] (6) Based on the defect state quantification score corresponding to each gas concentration set, determine the buffer layer defect state corresponding to each gas concentration set, and then determine the corresponding initial gas detection cycle, i.e. The unit is month.

[0054] (7) Based on the gas detection cycle determined by the first buffer layer gas detection, eight sets of gas concentrations from the second buffer layer gas detection were collected, as shown in Table 4: (8) Determine the average gas concentration growth rate λ between the first and second buffer layer gas detections, and substitute it into the periodic adjustment rule to obtain the gas detection period T2. Specifically: The unit is % The unit is month.

[0055] (9) Based on the gas detection cycle determined by the second buffer layer gas detection, collect 9 sets of gas concentrations for the third buffer layer gas detection, and repeat the subsequent steps.

[0056] Example 5: As shown in the attached document Figure 4 As shown, this embodiment of the invention discloses a dynamic adjustment device for the gas detection cycle of a high-voltage cable buffer layer, comprising: The gas concentration acquisition unit determines the gas detection cycle based on the (k-1)th buffer layer gas detection. T k-1 Collect one or more sets of gas concentrations for the k-th buffer layer gas detection; The periodic dynamic adjustment unit determines the average gas concentration growth rate between the (k-1)th buffer layer gas detection and the kth buffer layer gas detection, and substitutes this rate into the periodic adjustment rule to obtain the gas detection period. T k The periodic adjustment rules are set based on the periodic adjustment rate and different gas concentration average growth rate ranges.

[0057] Example 6: As attached Figure 5 As shown, this embodiment of the invention discloses a dynamic adjustment device for the gas detection cycle of a high-voltage cable buffer layer, comprising: The model building unit constructs a defect state quantification model, including: Obtain n sets of gas concentrations in the buffer layer of the high-voltage cable, where each set of gas concentrations is obtained through gas detection in the buffer layer. Correlation analysis was performed on the n sets of gas concentrations and their corresponding quantitative scores of buffer layer defect states to obtain the correlation coefficient for each gas concentration. The correlation analysis formula was established using the Pearson correlation coefficient method, as shown below: in, n The number of sets of gas concentrations; For the first j Correlation coefficient of gas concentration; For the first i The first set of gas concentrations j gas concentration; For the first j The average concentration of each gas; For the first i Quantitative score of the buffer layer defect state corresponding to the set of gas concentrations; The mean quantitative score of the buffer layer defect state corresponding to all gas concentration sets; The weight of each gas concentration is determined by using the correlation coefficient of each gas concentration; in, For the first j The weight corresponding to each gas concentration; For the first j The absolute value of the correlation coefficient of each gas concentration; A defect state quantification model is established based on the weight of each gas concentration; in, For the first i Defect state quantification score corresponding to the set of gas concentrations; For the reason and The assigned coefficients are obtained from the linear correlation. For the first i The first set of gas concentrations j Gas concentration.

[0058] The initial period determination unit includes: The quantification score determination module obtains one or more sets of gas concentrations from the first buffer layer gas detection and substitutes them into the defect state quantification model to obtain the defect state quantification score corresponding to each set of gas concentrations. The defect state quantification model is shown below: in, For the first i Defect state quantification score corresponding to the set of gas concentrations; For the reason and The assigned coefficients are obtained from the linear correlation. For the first i The first set of gas concentrations j gas concentration; The cycle determination module determines the buffer layer defect status corresponding to each gas concentration set based on the defect status quantification score, and then determines the corresponding initial gas detection cycle.

[0059] The gas concentration acquisition unit determines the gas detection cycle based on the (k-1)th buffer layer gas detection. T k-1 The set of one or more gas concentrations is obtained from the gas detection of the buffer layer in the kth time.

[0060] The periodic dynamic adjustment unit determines the average gas concentration growth rate between the (k-1)th buffer layer gas detection and the kth buffer layer gas detection, and substitutes this rate into the periodic adjustment rule to obtain the gas detection period. T k The periodic adjustment rules are set based on the periodic adjustment rate and different gas concentration average growth rate ranges.

[0061] Example 7: This embodiment of the invention discloses a storage medium storing a computer program that can be read by a computer. The computer program is configured to execute a dynamic adjustment method for the gas detection cycle of a high-voltage cable buffer layer when it runs.

[0062] The aforementioned storage media may include, but are not limited to, USB flash drives, read-only memory, portable hard drives, magnetic disks, optical disks, and other media capable of storing computer programs.

[0063] Example 8: This embodiment of the invention discloses an electronic device, including a processor and a memory. The memory stores a computer program, which is loaded and executed by the processor to realize a method for dynamically adjusting the gas detection cycle of a high-voltage cable buffer layer.

[0064] The processor described above can be a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), an ASIC, an FPGA, or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this invention. It can also be a combination that implements computational functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc. The memory can include, but is not limited to, various media capable of storing computer programs, such as USB flash drives, read-only memory, portable hard drives, magnetic disks, or optical disks.

[0065] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present invention can be implemented using various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0066] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0067] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0068] The above technical features constitute the preferred embodiment of the present invention, which has strong adaptability and optimal implementation effect. Unnecessary technical features can be added or removed according to actual needs to meet the requirements of different situations.

[0069] The above content is only a specific embodiment of the present invention, which has strong adaptability and implementation effect. However, the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be covered within the protection scope of the present invention. Therefore, equivalent changes made in accordance with the claims of the present invention are still within the scope of the present invention.

Claims

1. A method for dynamically adjusting the gas detection cycle of a high-voltage cable buffer layer, characterized in that, include: The gas detection cycle determined based on the (k-1)th buffer layer gas detection. T k-1 Collect one or more sets of gas concentrations for the k-th buffer layer gas detection; Determine the average gas concentration growth rate between the (k-1)th and kth buffer layer gas detections, and substitute it into the period adjustment rule to obtain the gas detection period. T k The periodic adjustment rules are set based on the periodic adjustment rate and different gas concentration average growth rate ranges.

2. The method for dynamically adjusting the gas detection cycle of the high-voltage cable buffer layer according to claim 1, characterized in that, The periodic adjustment rules include: If λ < a%, then T k = T k-1 (1+ a ); If a% ≤ λ < b%, then T k = T k-1 (1- a ); If b%≤λ≤c%, then T k = T k-1 (1-2 a ); If c% < λ, then T k = T k-1 (1-3 α ).

3. The method for dynamically adjusting the gas detection cycle of the high-voltage cable buffer layer according to claim 1 or 2, characterized in that, This also includes performing the first gas detection under initial conditions to determine the initial gas detection cycle, including: Obtain one or more sets of gas concentrations from the first buffer layer gas detection, and substitute them into the defect state quantification model to obtain the defect state quantification score corresponding to each set of gas concentrations. The defect state quantification model is shown below: in, For the first i Defect state quantification score corresponding to the set of gas concentrations; For the reason and The assigned coefficients are obtained from the linear correlation. For the first i The first set of gas concentrations j gas concentration; Based on the defect state quantification score corresponding to each set of gas concentrations, the buffer layer defect state corresponding to each set of gas concentrations is determined, and then the corresponding initial gas detection cycle is determined.

4. The method for dynamically adjusting the gas detection cycle of the high-voltage cable buffer layer according to claim 3, characterized in that, The construction of the defect state quantification model includes: Obtain n sets of gas concentrations in the buffer layer of the high-voltage cable, where each set of gas concentrations is obtained through gas detection in the buffer layer. Correlation analysis was performed on the n sets of gas concentrations and their corresponding quantitative scores of buffer layer defect states to obtain the correlation coefficient for each gas concentration. The correlation analysis formula was established using the Pearson correlation coefficient method, as shown below: in, n The number of sets of gas concentrations; For the first j Correlation coefficient of gas concentration; For the first i The first set of gas concentrations j gas concentration; For the first j The average concentration of each gas; For the first i Quantitative score of the buffer layer defect state corresponding to the set of gas concentrations; The mean quantitative score of the buffer layer defect state corresponding to all gas concentration sets; The weight of each gas concentration is determined by using the correlation coefficient of each gas concentration; in, For the first j The weight corresponding to each gas concentration; For the first j The absolute value of the correlation coefficient of each gas concentration; A defect state quantification model is established based on the weight of each gas concentration; in, For the first i Defect state quantification score corresponding to the set of gas concentrations; For the reason and The assigned coefficients are obtained from the linear correlation. For the first i The first set of gas concentrations j Gas concentration.

5. The method for dynamically adjusting the gas detection cycle of the high-voltage cable buffer layer according to claim 3, characterized in that, The initial gas detection cycle is determined based on the buffer layer defect status corresponding to each set of gas concentrations. Specifically, the initial gas detection cycle is set to 1 year under normal conditions, 6 months under minor defects, 3 months under severe defects, and 1 month under emergency defects.

6. A dynamic adjustment device for the gas detection cycle of a high-voltage cable buffer layer using the method described in any one of claims 1 to 5, characterized in that, include: The gas concentration acquisition unit determines the gas detection cycle based on the (k-1)th buffer layer gas detection. T k-1 Collect one or more sets of gas concentrations for the k-th buffer layer gas detection; The periodic dynamic adjustment unit determines the average gas concentration growth rate between the (k-1)th buffer layer gas detection and the kth buffer layer gas detection, and substitutes this rate into the periodic adjustment rule to obtain the gas detection period. T k The periodic adjustment rules are set based on the periodic adjustment rate and different gas concentration average growth rate ranges.

7. The dynamic adjustment device for gas detection cycle of high-voltage cable buffer layer according to claim 6, characterized in that, It also includes an initial period determination unit, including: The quantification score determination module obtains one or more sets of gas concentrations from the first buffer layer gas detection and substitutes them into the defect state quantification model to obtain the defect state quantification score corresponding to each set of gas concentrations. The defect state quantification model is shown below: in, For the first i Defect state quantification score corresponding to the set of gas concentrations; For the reason and The assigned coefficients are obtained from the linear correlation. For the first i The first set of gas concentrations j gas concentration; The cycle determination module determines the buffer layer defect status corresponding to each gas concentration set based on the defect status quantification score, and then determines the corresponding initial gas detection cycle.

8. The method for dynamically adjusting the gas detection cycle of a high-voltage cable buffer layer according to claim 6 or 7, characterized in that, It also includes a model building unit for constructing a defect state quantification model, including: Obtain n sets of gas concentrations in the buffer layer of the high-voltage cable, where each set of gas concentrations is obtained through gas detection in the buffer layer. Correlation analysis was performed on the n sets of gas concentrations and their corresponding quantitative scores of buffer layer defect states to obtain the correlation coefficient for each gas concentration. The correlation analysis formula was established using the Pearson correlation coefficient method, as shown below: in, n The number of sets of gas concentrations; For the first j Correlation coefficient of gas concentration; For the first i The first set of gas concentrations j gas concentration; For the first j The average concentration of each gas; For the first i Quantitative score of the buffer layer defect state corresponding to the set of gas concentrations; The mean quantitative score of the buffer layer defect state corresponding to all gas concentration sets; The weight of each gas concentration is determined by using the correlation coefficient of each gas concentration; in, For the first j The weight corresponding to each gas concentration; For the first j The absolute value of the correlation coefficient of each gas concentration; A defect state quantification model is established based on the weight of each gas concentration; in, For the first i Defect state quantification score corresponding to the set of gas concentrations; For the reason and The assigned coefficients are obtained from the linear correlation. For the first i The first set of gas concentrations j Gas concentration.

9. An electronic device, characterized in that, It includes a processor and a memory, wherein the memory stores a computer program, which is loaded and executed by the processor to implement the steps of the method as claimed in any one of claims 1 to 5.

10. A storage medium, characterized in that, The storage medium stores a computer program that can be read by a computer, the computer program being configured to execute the steps of the method as described in any one of claims 1 to 3 when it is run.

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