Bypass cable adapter connector electric field optimization insulation method, system, equipment and medium
By constructing a pre-fabricated stress cone with intermediate gradient, an intelligent sealing layer, and an electrostatic neutralization coating within the bypass cable conversion joint, combined with distributed sensors and adaptive control, the problem of insufficient real-time monitoring and dynamic adjustment capabilities of existing joints is solved, thereby improving the reliability and safety of the insulation system.
Patent Information
- Application Number
- CN202511756629.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-27
- Publication Date
- 2026-02-06
AI Technical Summary
Existing bypass cable conversion joints lack embedded sensing capabilities, making it impossible to monitor the internal electric field distribution, interface contact status, and temperature changes in real time. The insulation degradation process is invisible and uncontrollable, and the overall structure has a single function, lacking the adaptive ability to dynamically adjust its own performance according to the operating status.
Inside the bypass cable conversion joint, a prefabricated stress cone is formed by constructing a composite insulation material with continuously varying dielectric properties along the axial direction. An intelligent composite sealing layer with thermal response expansion characteristics and an electrostatic neutralization functional coating of a conductive network layer and a porous polymer layer are set. A distributed sensing unit is embedded to collect electric field, temperature and interface pressure signals. Based on the signals, insulation health assessment results are generated and adaptive regulation is performed.
By stabilizing the insulation region through a medium-elliptical structure, dynamically maintaining the interface compaction state, suppressing electrostatic disturbances, and assessing the insulation health status in real time, the system achieves multi-physical quantity monitoring of electric field, temperature, and pressure, thereby improving the long-term operational reliability and safety of the insulation system.
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Figure CN121477060A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of insulation optimization technology, and in particular to a method, system, device and medium for optimizing the electric field insulation of a bypass cable conversion joint. Background Technology
[0002] Bypass cable conversion joint electric field optimization insulation technology refers to a complete set of technologies for pluggable conversion joints used in bypass cable systems for temporary parallel connection to main lines in uninterrupted power supply operation scenarios. Through collaborative innovation of materials, structure and intelligent control, it actively regulates the electric field distribution in the internal and interface areas of the pluggable conversion joint, suppresses electric field concentration, and simultaneously improves mechanical sealing, anti-static capability and status awareness level, thereby achieving a high-reliability, long-life and intelligent insulation protection.
[0003] Existing bypass cable conversion joints generally use uniform dielectric materials or segmented stress control structures. In the conductor shielding cut-off area, the electric field is highly concentrated due to abrupt changes in dielectric properties, which can easily lead to partial discharge. At the same time, their sealing structure is mostly a static rubber ring, which undergoes permanent deformation after repeated insertion and removal. The interface clamping force continues to decay, forming micro gaps, which not only reduce the reliability of the seal but also become a new source of electric field distortion. In addition, static charges are generated on the insulation surface due to friction or separation during insertion and removal. Traditional coatings cannot effectively neutralize or dissipate these charges, resulting in instantaneous high potentials that may induce flashover. More importantly, existing joints lack embedded sensing capabilities and cannot monitor the internal electric field distribution, interface contact state, and temperature changes in real time. The insulation degradation process is invisible and uncontrollable, and can only be addressed through post-incident maintenance. The overall structure has a single function and lacks the adaptive ability to dynamically adjust its performance according to the operating status. Summary of the Invention
[0004] In view of the above-mentioned problems, the present invention provides a method, system, device and medium for optimizing the electric field insulation of bypass cable conversion joints.
[0005] Therefore, the problem to be solved by the present invention is that: existing connectors lack embedded sensing capabilities, cannot monitor the internal electric field distribution, interface contact state and temperature changes in real time, the insulation degradation process is invisible and uncontrollable, and can only rely on post-event maintenance; the overall structure has a single function and does not have the adaptive ability to dynamically adjust its own performance according to the operating status.
[0006] To address the aforementioned technical problems, this invention provides the following technical solution: a method for optimizing the electric field insulation of a bypass cable conversion joint, comprising: constructing a pre-formed stress cone inside the bypass cable conversion joint, formed by a composite insulating material whose dielectric properties continuously change along the axial direction, to form a stable insulation region; setting an intelligent composite sealing layer with thermally responsive expansion characteristics at the insertion / extraction interface to maintain the interface compression state; setting an electrostatic neutralization functional coating composed of a conductive network layer and a porous polymer layer on the insertion / extraction mating surface to suppress transient electrostatic disturbances; embedding distributed sensing units in the pre-formed stress cone, the intelligent composite sealing layer, and the electrostatic neutralization functional coating to collect physical field signals of electric field, temperature, and interface pressure; generating an insulation health assessment result based on the physical field signals, and triggering an excitation signal according to the assessment result to regulate the active components of the intelligent composite sealing layer or the electrostatic neutralization functional coating for adaptive synergistic regulation.
[0007] As a preferred embodiment of the bypass cable conversion joint electric field optimization insulation method of the present invention, the formation of the steady-state insulation region includes: injecting composite adhesives with different dielectric properties into a mold in sequence from the conductor end to the outer shield end to form an integral pre-formed stress cone with dielectric properties increasing along the axial direction; placing the pre-formed stress cone at the conductor shield cut-off position of the cable terminal, so that the outer surface of the pre-formed stress cone forms a bonding interface with the joint insulation structure; and establishing a continuously distributed electric field control state in the dielectric gradient structure of the pre-formed stress cone to form a steady-state insulation region.
[0008] The beneficial effects of this preferred technical solution are as follows: by constructing a continuously distributed dielectric environment through an integrated prefabricated stress cone with dielectric gradient, dielectric abrupt changes at the conductor shield cut-off point are eliminated, and the local electric field peak is reduced; the prefabricated stress cone is closely attached to the insulation structure to form a continuous and complete insulation path, thereby improving the structural stability and electric field stability under long-term operation.
[0009] As a preferred embodiment of the bypass cable conversion joint electric field optimization insulation method of the present invention, the method of maintaining the interface compression state includes: mixing thermally expanded microcapsules with an elastomer base rubber to obtain a rubber mold, and pressing the obtained rubber mold into an annular sealing structure with an initial interference fit; setting the annular sealing structure in the annular groove on the outer periphery of the pre-formed stress cone to establish interface contact pressure in the cold state; and using the volume change of the thermally expanded microcapsules to compensate for the attenuation of the interface compression force under operating temperature rise conditions to maintain a stable compression state.
[0010] As a preferred embodiment of the bypass cable conversion joint electric field optimization insulation method of the present invention, the method for suppressing transient electrostatic disturbances includes: forming a conductive bottom layer composed of an interconnected conductive network on the mating surface to provide an electrostatic discharge path; setting a porous polymer layer containing ionic liquid on the outside of the conductive bottom layer to release opposite polarity ions and neutralize the surface potential; and constructing an electrostatic dissipation path by utilizing the interconnected structure of the conductive bottom layer and the ion release process of the porous layer during the mating process to suppress transient electrostatic disturbances.
[0011] As a preferred embodiment of the bypass cable conversion joint electric field optimization insulation method described in this invention, the method for acquiring physical field signals of electric field, temperature, and interface pressure includes: embedding a flexible capacitive electric field sensor at different axial positions during the prefabricated stress cone forming process to acquire electric field intensity signals distributed along the axial direction; embedding a micro-fiber temperature sensor within the intelligent composite sealing layer structure to acquire interface temperature change signals; and integrating strain-sensitive conductive fabric on the substrate surface below the electrostatic neutralization functional coating to acquire interface pressure change signals.
[0012] As a preferred embodiment of the bypass cable conversion joint electric field optimization insulation method of the present invention, the generation of insulation health assessment results includes: preprocessing the collected signals; calculating degradation indices including electric field non-uniformity, interface strain attenuation rate and temperature rise rate based on the preprocessed signals; inputting the degradation indices into the insulation health assessment model and outputting the insulation health assessment results.
[0013] The beneficial effects of this preferred technical solution are as follows: by integrating multiple physical quantities such as electric field, temperature, and interface pressure, a more reliable insulation condition characterization is obtained than that obtained by monitoring a single physical quantity, thereby improving the accuracy of deterioration trend identification; by introducing key indicators such as electric field non-uniformity, interface strain attenuation rate, and temperature rise rate, a quantifiable comprehensive evaluation system is formed, thereby enhancing the stability of insulation condition assessment.
[0014] As a preferred embodiment of the bypass cable conversion joint electric field optimization insulation method described in this invention, the adaptive collaborative regulation includes: determining the main cause of degradation based on the insulation health assessment results; selecting the corresponding regulation path according to the main cause of degradation; applying a regulation signal that triggers the response of the active component to the intelligent composite sealing layer or electrostatic neutralization functional coating to drive the structural state to undergo adjustment changes; continuously acquiring physical field signals during the regulation process, updating the insulation state, and terminating the excitation after recovering to the target range, thus completing the collaborative regulation process.
[0015] To solve the above-mentioned technical problems, the present invention provides the following technical solution: an electric field optimization insulation system for bypass cable conversion joints, comprising: a pre-fabricated stress cone construction module, an intelligent composite sealing layer setting module, an electrostatic neutralization functional coating setting module, a data acquisition module, and a control module; the pre-fabricated stress cone construction module constructs a pre-fabricated stress cone formed by a composite insulating material with continuously varying dielectric properties along the axial direction inside the bypass cable conversion joint, forming a stable insulation region; the intelligent composite sealing layer setting module sets an intelligent composite sealing layer with thermally responsive expansion characteristics at the insertion and extraction connection interface to maintain the interface compression state; The electrostatic neutralization functional coating module sets an electrostatic neutralization functional coating composed of a conductive network layer and a porous polymer layer on the mating surface to suppress transient electrostatic disturbances; the acquisition module embeds distributed sensing units in the pre-fabricated stress cone, the intelligent composite sealing layer, and the electrostatic neutralization functional coating to acquire physical field signals of electric field, temperature, and interface pressure; the control module generates insulation health assessment results based on the physical field signals, and triggers excitation signals according to the assessment results to control the active components of the intelligent composite sealing layer or the electrostatic neutralization functional coating for adaptive and coordinated control.
[0016] A computer device includes a memory and a processor, the memory storing a computer program, the processor executing the computer program to implement the steps of the bypass cable transition joint electric field optimization insulation method as described above.
[0017] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the bypass cable transition joint electric field optimization insulation method as described above.
[0018] The beneficial effects of this invention are as follows: the pre-formed stress cone with axial gradient dielectric effectively suppresses electric field concentration, and the thermal expansion sealing layer dynamically maintains the interface clamping force. Furthermore, the functional coating that can release anti-polarity ions suppresses the accumulation of static electricity during the insertion and removal process. The embedded distributed sensors acquire electric field, temperature and pressure signals in real time, and the insulation health status is evaluated based on multi-source data fusion. Targeted excitation measures are automatically triggered in the early stage of performance degradation, so that the sealing layer or coating actively responds. This solves the problem of electric field distortion and interface failure caused by the fixed structure and static materials of traditional bypass connectors, and improves the long-term operational reliability and safety margin of the connector under complex working conditions. Attached Figure Description
[0019] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0020] Figure 1 This is a flowchart of an electric field optimization insulation method for a bypass cable conversion joint in Example 1. Detailed Implementation
[0021] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
[0022] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.
[0023] Example 1, referring to Figure 1 This is the first embodiment of the present invention, which provides a method for optimizing the insulation of a bypass cable transition joint electric field, comprising: S1: A pre-formed stress cone made of composite insulation material with continuously varying dielectric properties along the axial direction is constructed inside the bypass cable conversion joint to form a steady-state insulation region.
[0024] S2: An intelligent composite sealing layer with thermally responsive expansion characteristics is set at the plug-in connection interface to maintain the interface compression state.
[0025] S3: An electrostatic neutralizing coating consisting of a conductive network layer and a porous polymer layer is provided on the mating surface to suppress transient electrostatic disturbances.
[0026] S4: Distributed sensing units are embedded in the precast stress cone, intelligent composite sealing layer and electrostatic neutralization functional coating to collect physical field signals of electric field, temperature and interface pressure.
[0027] S5: Generates insulation health assessment results based on physical field signals, and triggers excitation signals according to the assessment results to regulate the active components of the intelligent composite sealing layer or electrostatic neutralization functional coating for adaptive synergistic regulation.
[0028] It should be noted that traditional conversion joints lack built-in monitoring capabilities, and changes in electric field, temperature and pressure during operation cannot be obtained in real time; there is no health assessment model, the insulation aging process cannot be quantified, and can only be dealt with through post-event maintenance; existing joints are all passive structures and do not have the ability to automatically adjust the sealing state or electrostatic characteristics according to the operating status, making it difficult to adapt to long-term operation and complex working conditions.
[0029] Therefore, in response to the above problems, such as Figure 1As shown, through steps S1-S5, a dielectric gradient structure is established inside the bypass conversion connector to stabilize the insulation region as the core foundation. A thermally responsive sealing structure is then deployed at the insertion / removal interface to ensure long-term interface compression. Simultaneously, a double-layer functional coating is constructed on the surface to neutralize static electricity, providing anti-static interference capability for the overall insulation system. Subsequently, multiple distributed sensing units are deployed between the three structural layers to synchronously incorporate changes in electric field, temperature, and interface pressure into the same data system. A data fusion algorithm is then used to generate a comprehensive assessment result of the insulation health status. Upon detecting a trend of insulation degradation, this invention further retrieves the corresponding excitation path and drives the active components of the sealing layer or coating to respond through heating or electrical excitation. This constructs an adaptive and collaborative control mechanism that spans the material layer, structural layer, and control layer, completing the overall dynamic adjustment of the bypass connector insulation system.
[0030] Example 2, a second embodiment of the present invention, differs from the first embodiment in that: a bypass cable conversion joint electric field optimization insulation method further includes, in step S1, forming a steady-state insulation region comprising the following steps A1-A3: A1: Composite adhesives with different dielectric properties are injected into the mold in sequence from the conductor end to the outer shield end to form an integral precast stress cone with dielectric properties that increase along the axial direction.
[0031] A2: Place the pre-stressed cone at the conductor shield cut-off position of the cable terminal so that the outer surface of the pre-stressed cone forms a bonding interface with the joint insulation structure.
[0032] A3: Establish a continuously distributed electric field control state in the intermediate gradient structure of the precast stress cone to form a steady-state insulation region.
[0033] In this embodiment of the application, in step A1, the pre-formed stress cone is generated using a multi-dielectric composite material injection + gradient vulcanization process, including the following steps A111-A113: A111: At least three composite adhesives with different dielectric properties are injected into a special mold in sequence from the conductor end to the outer shield end, and the difference in dielectric constant of each adhesive is controlled by adjusting the ratio.
[0034] A112: A gradient vulcanization process is performed on the injected multilayer composite rubber to achieve molecular-level fusion between the layers in a high-temperature cross-linking reaction, forming an integral structure with continuously increasing dielectric properties along the axial direction.
[0035] A113: After demolding, an integral precast stress cone is obtained, whose intermediate gradient generates a continuously distributed electric field control state and forms a steady-state insulating region.
[0036] Specifically, a highly elastic insulating matrix material is selected as the main body, and at least three composite adhesives with different dielectric properties are formulated. The dielectric constant of each adhesive is varied by adjusting the doping ratio of high dielectric constant nanofillers.
[0037] The rubber compound is injected into a special mold in sequence from the inside out. The inner layer of rubber compound is close to the conductor end, and the outer layer of rubber compound is close to the inner wall of the connector box. The layers are fused at the molecular level through a gradient vulcanization process to avoid interface delamination.
[0038] After demolding, an integral precast stress cone is obtained, whose dielectric constant increases monotonically from the conductor end to the outer shield end.
[0039] The pre-formed stress cone is placed at the conductor shield cut-off position of the cable terminal, and its outer surface forms a seamless fit with the joint insulation box.
[0040] Finite element electric field simulations verified that the maximum electric field strength of this structure under rated voltage is lower than that of a traditional uniform dielectric structure.
[0041] Here, the axial coordinate is defined. The dielectric constant distribution function is denoted as the distance measured from the end of the conductor. It satisfies the following relationship: in, It is the minimum dielectric constant at the end of the conductor. The maximum dielectric constant is the dielectric constant furthest from the conductor end. It is the dielectric constant attenuation coefficient, used to control the spatial rate of change of dielectric properties.
[0042] In an optional implementation, the prestressed stress cone can also be generated using a multi-segment solid material laminate forming process, including the following steps A121-A123: A121: Select solid insulating sheets with different dielectric constants and stack them in order of increasing dielectric properties.
[0043] A122: Hot pressing technology is used to apply directional pressure and heat to the laminated structure, so that the sheets are uniformly melted and bonded together to form a solid-phase gradient structure in which the dielectric properties increase along the axial direction.
[0044] A123: Obtain a solid integral preformed stress cone, and establish a stable electric field control state in its continuous dielectric distribution to form a steady-state insulating region.
[0045] In another alternative embodiment, the prestressed stress cone can also be generated using a casting process with continuously adjustable nanofiller concentration, including the following steps A131-A133: A131: Prepare insulating matrix sols with adjustable dielectric constants by controlling the concentration of nanofillers (such as high dielectric constant ceramic particles) to make the sol form a continuous gradient in the formulation.
[0046] A132: Gradient formulation sol is formed sequentially along the axial direction using casting equipment. After curing, a gradient film with a continuously changing dielectric constant is formed. The precast stress cone body is then constructed by winding.
[0047] A133: A continuously varying electric field control distribution is formed in the cured gradient film tape winding structure to construct a steady-state insulating region.
[0048] It should be noted that by using at least three composite materials with increasing dielectric properties and combining them with a gradient vulcanization process, not only is a continuous and smooth transition of the dielectric constant along the axial direction achieved, but the risk of electric field distortion and partial discharge caused by abrupt changes in the material interface in traditional multilayer structures is also effectively eliminated. At the same time, the integral molding avoids the problems of interlayer delamination or debonding, and improves the structural integrity and electric field regulation stability of the precast stress cone during long-term operation.
[0049] Furthermore, in step S2, maintaining the interface clamping state includes the following steps B1-B3: B1: The thermally expanded microcapsules are mixed with the elastomer base rubber to obtain a rubber mold, and the resulting rubber mold is pressed into an annular sealing structure with initial interference.
[0050] B2: The annular sealing structure is set in the annular groove on the outer periphery of the precast stress cone to establish interfacial contact pressure in the cold state.
[0051] B3: Under operating temperature rise conditions, the volume change of thermal expansion microcapsules is used to compensate for the attenuation of interfacial clamping force and maintain a stable clamping state.
[0052] Specifically, thermally expandable microcapsules are mixed with elastomer-based rubber. When heated, the microcapsules can undergo controllable volume expansion, and the expansion process is irreversible or partially reversible. The mixed rubber compound is molded into an annular sealing ring, with its initial inner diameter slightly smaller than the outer diameter of the insert-pull-out mating part, in order to form the basic interference fit in the cold state.
[0053] The sealing ring is installed in the annular groove around the precast stress cone, so that it applies an initial clamping force to the insertion and extraction interface even when there is no flow.
[0054] After the joint is put into operation, when the conductor flows through and causes a local temperature rise, the microcapsule expands due to heat, pushing the sealing ring to expand radially, thereby compensating for the loss of clamping force caused by the permanent deformation of the rubber due to repeated insertion and removal.
[0055] Continuously monitor the interface status to ensure that the clamping force is always maintained within a safe range to prevent the interface from detaching.
[0056] The current operating temperature is defined as follows: The initial ambient temperature was The increase in interface pressure is recorded as Its relationship with temperature change is described by the following formula: in, Indicates temperature The expansion rate per unit temperature rise of the microcapsules The elastic constraint coefficient of the sealing structure is determined by the stiffness of the joint box and the rubber compression modulus.
[0057] It should be noted that by mixing thermally expanding microcapsules with elastomer-based rubber and molding them into annular sealing rings with initial interference, reliable contact pressure is established in the cold state. During operation and heating, the microcapsules actively compensate for the loss of clamping force through controlled expansion. This design overcomes the defect of conventional rubber sealing rings that fail due to permanent deformation, ensuring that the insertion and extraction interface can maintain the sealing and electrical continuity required to prevent gas penetration and electric field disturbances even after multiple operations.
[0058] Furthermore, in step S3, suppressing transient electrostatic disturbances includes the following steps C1-C3: C1: A conductive underlayer consisting of an interconnected conductive network is formed on the mating surface to provide a path for electrostatic discharge.
[0059] C2: A porous polymer layer containing ionic liquid is set on the outside of the conductive bottom layer to release antipolar ions and neutralize the surface potential.
[0060] C3: During the insertion and extraction process, the electrostatic dissipation path is constructed by utilizing the interconnected structure of the conductive bottom layer and the ion release process of the porous layer to suppress instantaneous electrostatic disturbances.
[0061] Specifically, a conductive network substrate is deposited on the inner wall surface of the plug-in sleeve by spraying or spin coating. The conductive network substrate is composed of interconnected conductive fibers or carbon-based nanomaterials and has low surface resistivity.
[0062] A porous polymer precursor solution containing ionic liquid is coated on the bottom layer of the conductive network, and after drying and curing, a surface layer with an open pore structure is formed.
[0063] The coated components are then plugged into and assembled with the cable terminals.
[0064] During insertion and removal operations, friction or separation will generate static charge on the surface. At this time, the ionic liquid in the porous surface layer releases antipolar ions to neutralize it, while the bottom layer of the conductive network provides a charge discharge path to guide the residual charge into the grounding system.
[0065] Wherein, the instantaneous surface potential is defined as The equilibrium potential of an ionic liquid is The rate of change of surface potential with time satisfies the following differential relationship, expressed as: in, Surface potential as a function of time rate of change, This is the charge neutralization rate coefficient, the magnitude of which depends on the concentration of the ionic liquid, the pore connectivity of the coating, and the ambient humidity.
[0066] It should be noted that the dual-layer functional coating structure, consisting of a conductive network bottom layer and a porous polymer surface layer containing ionic liquid, not only ensures the low-resistance connectivity of the charge discharge path but also provides a sufficient reverse polarity ion source, enabling the electrostatic neutralization process to have both rapid response and continuous capability. This effectively solves the problem that a single coating cannot simultaneously achieve conductivity and ion release efficiency, and suppresses the impact of instantaneous high potential on the insulation system during insertion and removal.
[0067] Furthermore, in step S4, acquiring the physical field signals of electric field, temperature, and interface pressure includes the following steps D1-D3: D1: During the pre-formed stress cone molding process, a flexible capacitive electric field sensor is embedded at different axial positions to obtain the electric field intensity signal distributed along the axial direction.
[0068] D2: Embed a miniature fiber optic temperature sensor within the intelligent composite sealing layer structure to acquire interface temperature change signals.
[0069] D3: Integrate strain-sensitive conductive fabric on the substrate surface beneath the electrostatic neutralization functional coating to acquire interfacial pressure change signals.
[0070] All sensor lead wires are brought together to the standard signal interface outside the connector housing.
[0071] During operation, the electric field intensity sequence, temperature sequence and strain sequence output by each sensor are collected simultaneously to form a multi-source heterogeneous dataset.
[0072] It should be noted that by pre-embedding the flexible capacitive electric field sensor, the miniature fiber optic temperature sensor, and the strain-sensitive conductive fabric under the prefabricated stress cone, the intelligent sealing layer, and the functional coating, and then leading them out to a standard interface, in-situ, synchronous, and interference-free acquisition of multi-physics field signals is achieved. This avoids damage to the insulation structure caused by external sensors, while ensuring the spatial correspondence and temporal consistency of the data, providing high-quality input for subsequent accurate evaluation.
[0073] Further, in step S5, generating the insulation health assessment results includes the following steps E1-E3: E1: Preprocess the acquired signals.
[0074] E2: Based on the preprocessed signal, the degradation indices are calculated, including electric field non-uniformity, interfacial strain attenuation rate, and temperature rise rate.
[0075] E3: Input the degradation index into the insulation health assessment model and output the insulation health assessment result.
[0076] In this embodiment of the application, step E1 employs a preprocessing method based on simultaneous calibration of multiple physical quantities, including the following steps E111-E113: E111: Align the collected electric field strength, temperature, and interface pressure data with a time reference to establish a unified time axis sequence.
[0077] E112: A noise reduction filtering algorithm is used to suppress noise in various signals to obtain a stable data sequence.
[0078] E113: Performs normalization on the denoised data to form a standardized input dataset that can be used to calculate the electric field non-uniformity index.
[0079] In an optional implementation, the preprocessing may also employ an adaptive threshold filtering-based preprocessing method, including the following steps E121-E123: E121: Set dynamic threshold ranges for electric field, temperature and pressure signals according to their variation characteristics, and project each signal onto a unified time coordinate.
[0080] E122: Performs adaptive filtering on transient noise points that exceed the threshold range, preserving the true trend of change and suppressing random disturbances.
[0081] E123: Normalizes the filtered signal according to the category of physical quantity, so that the electric field, temperature and pressure data have a unified dimension and scale.
[0082] In another alternative implementation, the preprocessing may also employ a principal component reduction-based preprocessing method, including the following steps E131-E133: E131: Combine electric field, temperature and pressure signals into a multi-dimensional data matrix after time alignment.
[0083] E132: Perform principal component analysis on a multidimensional data matrix to weaken or remove noisy principal components while retaining the main variation patterns.
[0084] E133: The processed principal component signal is standardized to construct a normalized feature sequence suitable for calculating electric field inhomogeneity.
[0085] To further explain, in step E2, the method for calculating the electric field non-uniformity includes defining the arithmetic mean of all electric field sensor readings as... The maximum reading is The minimum reading is Then the electric field non-uniformity Represented as: Interfacial strain attenuation rate The calculation formula is expressed as follows: in, The initial strain value, This represents the current strain value.
[0086] Temperature rise rate The calculation formula is expressed as follows: in, For the current moment temperature, The temperature of the previous sampling period. This represents the temperature sampling interval.
[0087] In this embodiment of the application, in step E3, the insulation health assessment model adopts a weighted classification assessment model, including the following steps E311-E312: E311: Based on the three indicators obtained—electric field non-uniformity, interfacial strain attenuation rate, and temperature rise rate—they are normalized to form an evaluation vector.
[0088] E312: A weighted classification model is used to integrate electric field non-uniformity, interfacial strain attenuation rate and temperature rise rate according to preset weights to generate an insulation health status score.
[0089] Specifically, a weighted classification model is trained and constructed based on historical operating data. The electric field non-uniformity, interfacial strain attenuation rate, and temperature rise rate are input into the lightweight classification model, and the output is an insulation health status score. The expression is: in, , , , which is a weighting coefficient used to reflect the relative contribution of each physical quantity to insulation failure.
[0090] To further explain, the training process of the weighted classification model includes: Collect historical operating data of the connector under different working conditions, including stable state, slightly deteriorated state and severely deteriorated state.
[0091] Label all historical data to construct a training set for normal / sub-healthy / deteriorating classification.
[0092] Cross-validation is used to determine the weights of the three metrics to maximize classification accuracy.
[0093] The optimized weights are written into the weighted classification model for real-time output of health status scores.
[0094] In an optional implementation, the insulation health assessment model may also employ a fuzzy rule-based insulation health inference model, including the following steps E321-E323: E321: Obtain the normalized values of electric field non-uniformity, interface strain attenuation rate, and temperature rise rate, and input them into the fuzzification module to convert them into three fuzzy levels: "low / medium / high".
[0095] E322: Construct a joint fuzzy rule base for electric field, strain and temperature rise, and infer the fuzzy output of insulation health status based on the combination relationship of each fuzzy level.
[0096] E323: Use a defuzzification strategy to generate an insulation health score, and classify the insulation status into three categories: normal, warning, and deterioration based on the score range.
[0097] In another alternative implementation, the insulation health assessment model may also employ an anomaly detection model based on time series prediction residuals, including the following steps E331-E333: E331: The continuously collected electric field inhomogeneity, interface strain decay rate and temperature rise rate are constructed as time series inputs, and a lightweight prediction model is used to obtain the predicted values of the indicators for the next period.
[0098] E332: Calculate the residual sequence between the actual measured values and the predicted values, and construct the residual magnitude index.
[0099] E333: An insulation health assessment value is generated based on the comparison between the residual magnitude and the historical statistical threshold. When the residual continuously exceeds the limit, it is determined that the insulation performance is in a deteriorated state.
[0100] Furthermore, in step S5, adaptive coordinated regulation includes the following steps E4-E6: E4: Identify the main cause of degradation based on the insulation health assessment results.
[0101] E5: Select the corresponding regulation path according to the main cause of degradation, apply the regulation signal that triggers the response of the active component to the intelligent composite sealing layer or electrostatic neutralization functional coating, and drive the structural state to change.
[0102] E6: During the control process, it continuously acquires physical field signals, updates the insulation state, and terminates the excitation after returning to the target range, thus completing the coordinated control process.
[0103] In this embodiment of the application, step E5 employs a dual-path directional excitation control mechanism, including the following steps E511-E513: E511: When When the insulation health status score is below a preset threshold for multiple consecutive sampling periods, the insulation performance is determined to be deteriorating, and an adaptive control mechanism needs to be activated. When the value remains below the threshold for more than a preset time window, the control system automatically generates an activation command, determines the output of the module based on the main cause of the degradation, and identifies the corresponding control path type.
[0104] E512: If the main cause is insufficient interfacial pressure, a brief pulse current is applied to the micro heating wire embedded in the smart composite sealing layer to raise the local temperature and accelerate the expansion of the microcapsule; if the main cause is abnormal surface potential, a brief bias voltage is applied to the conductive network bottom layer of the functional coating to promote the directional migration of ionic liquid and improve charge neutralization efficiency.
[0105] E513: Updates the physical field signal in real time and monitors changes in test layer parameters during excitation execution to observe the trend of clamping force changes or surface potential recovery.
[0106] In an optional implementation, the control path may also employ an adaptive control mechanism based on a multi-mode excitation matrix, including the following steps E521-E523: E521: The control methods are expanded to three categories: thermal excitation, electrical excitation and composite excitation, and a control matrix is constructed for different insulation degradation modes.
[0107] E522: Based on the combined characteristics of insulation health assessment indicators, select the matrix unit corresponding to the current degradation mode, and determine the composite excitation strategy of thermal excitation, electrical excitation, or a combination of both from it.
[0108] E523: During the control process, the excitation intensity, duration or superposition ratio are automatically adjusted according to real-time signal changes, so that the control path can adapt to the dynamic changes of various degradation modes.
[0109] In another alternative implementation, the control path may also employ a control scheme based on an adjustable excitation parameter library, including the following steps E531-E533: E531: Establish an excitation parameter library containing variables such as excitation amplitude, excitation pulse width, and excitation repetition period to form an adjustable set of control parameters.
[0110] E532: Select the corresponding excitation parameter set from the parameter library according to the identified degree of degradation. For example, use the low amplitude and short pulse width parameter set for mild degradation, and use the higher energy level parameter set for moderate or severe degradation.
[0111] E533: During the control execution period, the parameter group is dynamically adjusted by shortening the pulse width, increasing the repetition period, or increasing the excitation amplitude, so that the excitation energy transmitted to the sealing layer or functional coating is matched with the degree of degradation.
[0112] It should be noted that by constructing a weighted health scoring model based on electric field inhomogeneity, interfacial strain attenuation rate, and temperature rise rate, and combining it with the determination of the main causes of degradation and the directional incentive mechanism, the system can distinguish different failure modes and take targeted control measures, avoiding blind intervention. At the same time, the control effect is fed back in real time and used to update the model parameters, realizing the dynamic optimization and self-learning evolution of the insulation maintenance strategy, effectively improving the system's intelligence level and long-term adaptability.
[0113] Example 3, the third embodiment of the present invention, differs from the previous two embodiments in that it provides an electric field optimization insulation system for bypass cable conversion joints, comprising a pre-fabricated stress cone construction module, an intelligent composite sealing layer setting module, an electrostatic neutralization functional coating setting module, a data acquisition module, and a control module. The pre-fabricated stress cone construction module constructs a pre-fabricated stress cone formed by a composite insulating material with continuously varying dielectric properties along the axial direction within the bypass cable conversion joint, forming a stable insulation region. The intelligent composite sealing layer setting module sets an intelligent composite sealing layer with thermally responsive expansion characteristics at the insertion / extraction interface to maintain interface compression. The electrostatic neutralization functional coating setting module sets an electrostatic neutralization functional coating composed of a conductive network layer and a porous polymer layer on the insertion / extraction mating surface to suppress transient electrostatic disturbances. The data acquisition module embeds distributed sensing units in the pre-fabricated stress cone, intelligent composite sealing layer, and electrostatic neutralization functional coating to acquire physical field signals of electric field, temperature, and interface pressure. The control module generates insulation health assessment results based on the physical field signals and triggers excitation signals according to the assessment results to control the active components of the intelligent composite sealing layer or electrostatic neutralization functional coating for adaptive and coordinated control.
[0114] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0115] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.
[0116] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.
[0117] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented in combination with any of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.
[0118] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.
Claims
1. A method for optimizing the insulation of a bypass cable transition joint, characterized in that: include, A pre-formed stress cone, consisting of a composite insulation material with continuously varying dielectric properties along the axial direction, is constructed inside the bypass cable conversion joint to form a steady-state insulation region. A smart composite sealing layer with thermally responsive expansion characteristics is set at the plug-in connection interface to maintain the interface compression state. An electrostatic neutralizing coating consisting of a conductive network layer and a porous polymer layer is applied to the mating surface to suppress transient electrostatic disturbances. Distributed sensing units are embedded in the pre-formed stress cone, the intelligent composite sealing layer, and the electrostatic neutralization functional coating to collect physical field signals of electric field, temperature, and interface pressure. Based on the physical field signal, an insulation health assessment result is generated, and an excitation signal is triggered according to the assessment result to regulate the active components of the intelligent composite sealing layer or the electrostatic neutralization functional coating for adaptive synergistic regulation.
2. The bypass cable conversion joint electric field optimization insulation method as described in claim 1, characterized in that: The formation of the stable-state insulation region includes, Composite adhesives with different dielectric properties are injected into the mold in sequence from the conductor end to the outer shield end to form an integral precast stress cone with dielectric properties that increase along the axial direction. The pre-formed stress cone is placed at the conductor shield cut-off position of the cable terminal, so that the outer surface of the pre-formed stress cone forms a bonding interface with the joint insulation structure; A continuously distributed electric field control state is established in the intermediate gradient structure of the precast stress cone, forming a steady-state insulation region.
3. The bypass cable conversion joint electric field optimization insulation method as described in claim 2, characterized in that: The maintenance of the interface compression state includes Thermal expansion microcapsules are mixed with elastomer-based rubber to obtain a rubber mold, and the resulting rubber mold is pressed into an annular sealing structure with initial interference. The annular sealing structure is set in the annular groove on the outer periphery of the pre-stressed cone to establish interfacial contact pressure in a cold state. Under operating temperature rise conditions, the volume change of thermally expanded microcapsules is used to compensate for the attenuation of interfacial clamping force and maintain a stable clamping state.
4. The bypass cable conversion joint electric field optimization insulation method as described in claim 3, characterized in that: The suppression of transient electrostatic disturbances includes, A conductive underlayer consisting of an interconnected conductive network is formed on the mating surface to provide a path for electrostatic discharge. A porous polymer layer containing ionic liquid is disposed on the outer side of the conductive bottom layer to release antipolar ions and neutralize the surface potential; During the insertion and extraction process, the electrostatic dissipation path is constructed by utilizing the interconnected structure of the conductive bottom layer and the ion release process of the porous layer to suppress instantaneous electrostatic disturbances.
5. The bypass cable conversion joint electric field optimization insulation method as described in claim 4, characterized in that: The physical field signals of the collected electric field, temperature, and interface pressure include, During the pre-formed stress cone molding process, a flexible capacitive electric field sensor is embedded at different axial positions to obtain the electric field intensity signal distributed along the axial direction. A miniature fiber optic temperature sensor is embedded in the intelligent composite sealing layer structure to acquire interface temperature change signals. Strain-sensitive conductive fabric is integrated into the substrate surface beneath the electrostatic neutralization functional coating to acquire signals of interfacial pressure changes.
6. The bypass cable conversion joint electric field optimization insulation method as described in claim 5, characterized in that: The generated insulation health assessment results include, The acquired signals are preprocessed; Based on the preprocessed signal, the degradation indices, including electric field non-uniformity, interfacial strain attenuation rate, and temperature rise rate, are calculated. The degradation index is input into the insulation health assessment model, and the insulation health assessment result is output.
7. The bypass cable conversion joint electric field optimization insulation method as described in claim 6, characterized in that: The adaptive coordinated regulation includes, The main causes of degradation were determined based on the insulation health assessment results; Based on the main cause of degradation, select the corresponding regulation path, apply the regulation signal that triggers the response of the active component to the intelligent composite sealing layer or the electrostatic neutralization functional coating, and drive the structural state to change. During the control process, physical field signals are continuously acquired, the insulation state is updated, and the excitation is terminated after the system returns to the target range, thus completing the coordinated control process.
8. A bypass cable transition joint electric field optimization insulation system, employing the bypass cable transition joint electric field optimization insulation method as described in any one of claims 1 to 7, characterized in that: It includes a precast stress cone construction module, an intelligent composite sealing layer setting module, an electrostatic neutralization functional coating setting module, a data acquisition module, and a control module; The prefabricated stress cone construction module constructs a prefabricated stress cone made of a composite insulating material with continuously varying dielectric properties along the axial direction inside the bypass cable conversion joint, forming a stable insulation region. The intelligent composite sealing layer setting module sets an intelligent composite sealing layer with thermal response expansion characteristics at the plug-in connection interface to maintain the interface compression state. The electrostatic neutralization functional coating module provides an electrostatic neutralization functional coating composed of a conductive network layer and a porous polymer layer on the mating surface to suppress instantaneous electrostatic disturbances. The acquisition module embeds distributed sensing units in the pre-formed stress cone, the intelligent composite sealing layer, and the electrostatic neutralization functional coating to acquire physical field signals of electric field, temperature, and interface pressure. The control module generates an insulation health assessment result based on the physical field signal, and triggers an excitation signal according to the assessment result to control the active components of the intelligent composite sealing layer or the electrostatic neutralization functional coating for adaptive and coordinated control.
9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the bypass cable conversion joint electric field optimization insulation method according to any one of claims 1 to 7.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the bypass cable conversion joint electric field optimization insulation method according to any one of claims 1 to 7.