Method, apparatus, computer equipment, and medium for early fault detection of power distribution switches

Abstract

This invention provides a method, apparatus, computer equipment, and medium for early fault detection of power distribution switches. [Solution] The method utilizing artificial intelligence technology includes: step S1 of constructing an initial air-water simulation model; step S2 of obtaining crack parameters, potential difference, and rainwater parameters of a power distribution switch to be detected, and setting the parameters of the initial two-phase simulation model to obtain a target simulation model; step S3 of analyzing the predicted arc parameters of the crack parameters and potential difference based on the target simulation model; step S4 of detecting the actual arc parameters of the power distribution switch; step S5 of comparing the predicted arc parameters with the actual arc parameters; and step S6 of determining whether or not an early failure has occurred in the power distribution switch based on the comparison results.

Description

Technical Field

[0001] The present invention relates to the technical field of artificial intelligence, and particularly to the early fault detection of distribution switches.

Background Art

[0002] Distribution switches have high mechanical strength, chemical stability, excellent insulation performance and strong corrosion resistance, and are widely applied to the distribution network. When firing a distribution switch, the quartz in the material changes from α - quartz to β - quartz during cooling, and the volume decreases by 2%. As a result, distortion occurs, and many fine cracks are formed in the ceramic body. These fine cracks grow over time under the action of electrical stress and mechanical stress, eventually causing complete radial cracks. In the 10kV distribution network, commonly used distribution switches include pin - type distribution switches, suspension - type distribution switches, post - type distribution switches, arm - type distribution switches, etc. The pin - type distribution switch has no iron cap, and the ceramic between the electrodes (between the conductor and the pin) is relatively thin. Therefore, on rainy days, rainwater easily flows into the cracks, reducing the insulation strength, thereby causing drainage in the cracks. Due to the narrow internal space of the cracks, the discharge disappears by itself due to the evaporation of moisture by heat, showing self - clearing characteristics. This type of fault is called the early fault (PIIF) of the distribution switch in the present invention.

[0003] Currently, the early fault detection of distribution switches is mainly carried out manually, which is time - consuming and laborious, and there are safety problems for the detection workers.

Summary of the Invention

Problems to be Solved by the Invention

[0004] Based on this, it is necessary to propose an early fault detection method for distribution switches to solve the problem of early fault detection of conventional distribution switches.

Means for Solving the Problems

[0005] An early fault detection method for a distribution switch, Steps to construct an air-water initial simulation model, Obtain the crack parameters, potential difference, and rainwater parameters of the distribution switch to be detected, and based on the crack parameters, set the parameters in the crack of the initial simulation model. Based on the potential difference, set the potentials at the top and bottom of the initial simulation model, and based on the rainwater parameters, set the phase field variables of the initial two-phase simulation model to obtain a target simulation model; Analyze the predicted arc parameters of the crack parameters and the potential difference based on the target simulation model; Detect the actual arc parameters of the distribution switch; Compare the predicted arc parameters with the actual arc parameters; Based on the comparison result, determine whether an early fault has occurred in the distribution switch.

[0006] Furthermore, the step of analyzing the predicted arc parameters of the crack parameters and the potential difference based on the target simulation model includes: Analyze the first relationship between the arc voltage and the current during arc combustion in the crack and the second relationship between its arc conductance and arc resistance based on the target simulation model; Obtain the predicted arc parameters based on the arc energy dissipation data calculated according to the first relationship and the second relationship.

[0007] Furthermore, the step of setting the phase field variables of the initial two-phase simulation model based on the rainwater parameters includes: Simulate the two-phase flow of water vapor inside the crack by using the Cahn-Hilliard equation and the Navier-Stokes equation.

[0008] Furthermore, the step of simulating the two-phase water flow inside the crack by using the Cahn-Hilliard equation and the Navier-Stokes equation is as follows: A step of identifying different phase regions and transition regions between different phases by introducing a phase field variable φ, and the equation is as follows:

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[0009] Furthermore, prior to the step of analyzing the crack parameters and the predicted arc parameters of the potential difference based on the target simulation model, The steps include setting a failure threshold based on the aforementioned potential difference and the material parameters of the power distribution switch, The steps include obtaining the maximum electric field strength in the crack region of the target simulation model, The steps include determining whether the maximum electric field strength is greater than the breakdown threshold, If the maximum electric field strength is greater than the fracture threshold, the further step includes performing the step of analyzing the crack parameters, the predicted arc parameters of the potential difference, and the predicted air characteristics after discharge self-clearance based on the target simulation model.

[0010] Furthermore, the step of comparing the predicted arc parameters with the actual arc parameters is, The steps include obtaining a minimum threshold for arc duration based on the predicted arc parameters, The steps include determining the actual arc duration in the actual arc parameters, The method includes the steps of determining that no premature failure has occurred in the power distribution switch if the actual duration is less than or equal to the minimum threshold for duration, and determining that a premature failure has occurred in the power distribution switch if the actual duration is greater than the minimum threshold for duration.

[0011] Furthermore, after the step of comparing the predicted arc parameters with the actual arc parameters, A step of detecting whether or not the re-ignition phenomenon occurred again in the power distribution switch within a set time after the arc discharge has subsided, The method further includes the step of determining that an early failure has occurred in the power distribution switch if a re-ignition phenomenon occurs.

[0012] Furthermore, a power distribution switch early fault detection system, A construction module for building an initial air-water simulation model, An acquisition module for obtaining a target simulation model by acquiring crack parameters, potential difference, and rainwater parameters of a power distribution switch to be detected, setting parameters in the crack of the initial simulation model based on the crack parameters, setting the potentials of the top and bottom of the initial simulation model based on the potential difference, and setting the phase field variables of the initial two-phase simulation model based on the rainwater parameters, An analysis module for analyzing the crack parameters and the predicted arc parameters of the potential difference based on the target simulation model, A detection module for detecting the actual arc parameters of the aforementioned power distribution switch, A comparison module for comparing the predicted arc parameters with the actual arc parameters, The system includes a determination module for determining whether or not an early failure has occurred in the power distribution switch based on the comparison results.

[0013] A computer device comprising memory and a processor, wherein a computer program is stored in the memory and the computer program is executed by the processor, Steps to construct an initial air-water simulation model, The steps include: obtaining crack parameters, potential difference, and rainwater parameters of the power distribution switch to be detected; setting parameters in the crack of the initial simulation model based on the crack parameters; setting the potentials of the top and bottom of the initial simulation model based on the potential difference; and setting the phase field variables of the initial two-phase simulation model based on the rainwater parameters to obtain a target simulation model; The steps include analyzing the crack parameters and the predicted arc parameters of the potential difference based on the target simulation model, The steps include detecting the actual arc parameters of the power distribution switch, The steps include comparing the predicted arc parameters with the actual arc parameters, The processor is instructed to perform the step of determining whether or not an early failure has occurred in the power distribution switch based on the comparison results.

[0014] A computer-readable storage medium in which a computer program is stored, wherein when the computer program is executed by a processor, Steps to construct an initial air-water simulation model, The steps include: obtaining crack parameters, potential difference, and rainwater parameters of the power distribution switch to be detected; setting parameters in the crack of the initial simulation model based on the crack parameters; setting the potentials of the top and bottom of the initial simulation model based on the potential difference; and setting the phase field variables of the initial two-phase simulation model based on the rainwater parameters to obtain a target simulation model; The steps include analyzing the crack parameters and the predicted arc parameters of the potential difference based on the target simulation model, The steps include detecting the actual arc parameters of the power distribution switch, The steps include comparing the predicted arc parameters with the actual arc parameters, The processor is instructed to perform the step of determining whether or not an early failure has occurred in the power distribution switch based on the comparison results. [Effects of the Invention]

[0015] The beneficial effects of this invention are as follows: Through continuous monitoring and accurate analysis of power distribution switches, this invention enables the timely identification and treatment of problems that could cause serious power failures, and enables more appropriate maintenance measures through detailed analysis of crack expansion and discharge behavior, thereby extending the service life of power distribution switches and associated power equipment. The predictive maintenance model of the system reduces unnecessary comprehensive inspection and maintenance costs, and allows resources to be concentrated on critical parts where failures are likely to occur. This resource optimization not only reduces direct maintenance costs but also contributes to reducing the costs of shutdowns due to sudden failures.

[0016] To more clearly illustrate the embodiments of the present invention or the technical concepts in the prior art, the drawings that may be used in the description of the embodiments or the prior art are briefly described below. Obviously, the drawings in the following description are only a few embodiments of the present invention, and those skilled in the art can obtain other drawings based on these without any creative effort. [Brief explanation of the drawing]

[0017] [Figure 1] This figure shows the application environment for an early fault detection method for a power distribution switch according to one embodiment. [Figure 2] This is a flowchart for early fault detection of a power distribution switch in one embodiment. [Figure 3] This is a simulation result diagram of a method for early fault detection of a power distribution switch according to one embodiment. [Figure 4] This is a schematic diagram of voltage-electric field changes in an early fault detection method for a power distribution switch according to one embodiment. [Figure 5] This is a schematic diagram of the Parc-Rarc change in an early fault detection method for a power distribution switch according to one embodiment. [Figure 6] This is a structural block diagram of an early fault detection system for a power distribution switch according to one embodiment. [Figure 7] This is a structural block diagram of a computer device in one embodiment. [Modes for carrying out the invention]

[0018] The technical concepts in the embodiments of the present invention will be described clearly and completely below, together with the drawings of the embodiments. Clearly, the embodiments described are only some, and not all, embodiments of the present invention. All other embodiments that can be obtained by those skilled in the art without creative work based on the embodiments of the present invention are within the scope of the protection of the present invention.

[0019] Figure 1 shows the application environment of an early fault detection method for a power distribution switch according to one embodiment. Referring to Figure 1, this early fault detection method for a power distribution switch is used in an early fault detection system for a power distribution switch. This early fault detection system for a power distribution switch includes a terminal 110 and a server 120. The terminal 110 and the server 120 are connected via a network, and the terminal 110 may be a desktop terminal or a mobile terminal, and the mobility terminal may be at least one of the following: a mobile phone, a tablet computer, a laptop computer, etc. The server 120 can be implemented as an independent server or a server cluster consisting of multiple servers. The terminal 110 is used to obtain actual arc parameters, and the server 120 is used to build a simulation model.

[0020] As shown in Figure 2, one embodiment provides a method for early fault detection of a power distribution switch. This method can be used in terminals and also in servers. In this embodiment, its use in a server will be described as an example. Specifically, this method for early fault detection of a power distribution switch includes the following steps.

[0021] S1: Construct an initial air-water simulation model.

[0022] S2: The crack parameters, potential difference, and rainwater parameters of the power distribution switch to be detected are acquired, and based on the crack parameters, the parameters in the crack of the initial simulation model are set, based on the potential difference, the potentials of the top and bottom of the initial simulation model are set, and based on the rainwater parameters, the phase field variables of the initial two-phase simulation model are set to obtain the target simulation model.

[0023] S3: Based on the target simulation model, the crack parameters and the predicted arc parameters of the potential difference are analyzed.

[0024] S4: Detect the actual arc parameters of the power distribution switch.

[0025] S5: Compare the predicted arc parameters with the actual arc parameters.

[0026] S6: Based on the comparison results, determine whether or not an early failure has occurred in the power distribution switch.

[0027] As described in step S1 above, cracks can develop in needle-type power distribution switches due to unfavorable conditions such as voltage, mechanical stress, and surface contamination. These cracks are highly concealed, difficult to observe with the naked eye, and are generally 0.1-0.2 mm in size. Under dry weather conditions, a cracked power distribution switch can maintain sufficient insulation capacity and will not discharge at the normal commercial power frequency voltage of the system. However, under rainy conditions, rainwater flows into the crack from top to bottom, gradually shortening the air gap. At a certain point, the electric field strength reaches the breakdown threshold, causing a discharge. The water that enters the crack evaporates due to the thermal effect of the fault current and is expelled from the crack, extending the arc and extinguishing when the current falls below zero. A two-phase water displacement simulation model is constructed at the slit interface.

[0028] As described in step S2, crack parameters, potential difference, and rainwater parameters of the power distribution switch to be detected are obtained, and based on the crack parameters, parameters in the crack of the initial simulation model are set, based on the potential difference, the potentials of the top and bottom of the initial simulation model are set, and based on the rainwater parameters, the phase field variables of the initial two-phase simulation model are set to obtain the target simulation model. That is, a scale model of the power distribution switch is constructed based on the corresponding power distribution switch, including the geometry, location, width, depth, and electrical properties of the crack, to ensure that the model reflects the physical and electrical properties of the power distribution switch in which the actual crack occurred.

[0029] As described in step S3 above, based on the target simulation model, the crack parameters and the predicted arc parameters of the potential difference are analyzed, and the specific calculation method is not limited, but mainly the minimum time threshold for the corresponding arc duration is obtained.

[0030] As described in steps S4 to S6 above, the actual arc parameters of the distribution switch are detected, the predicted arc parameters are compared with the actual arc parameters, and based on the comparison results, it is determined whether or not an early failure has occurred in the distribution switch. Through continuous monitoring and accurate analysis of the distribution switch, problems that could cause serious power failures can be identified and addressed in a timely manner, and through detailed analysis of crack expansion and discharge behavior, more appropriate maintenance measures can be implemented, thereby extending the service life of the distribution switch and associated power equipment. The predictive maintenance model of the system reduces unnecessary comprehensive inspection and maintenance costs and allows resources to be concentrated on critical parts where failures are likely to occur. This resource optimization not only reduces direct maintenance costs but also contributes to reducing the costs of shutdowns due to sudden failures.

[0031] In one embodiment, step S3, which analyzes the crack parameters and the predicted arc parameters of the potential difference based on the target simulation model, includes the following steps.

[0032] S301: Based on the target simulation model, the first relationship between the arc voltage during arc combustion in the crack and the current, and the second relationship between the arc conductance and arc resistance are analyzed.

[0033] S302: Based on the arc energy dissipation data calculated according to the first and second relationships, the predicted arc parameters are obtained.

[0034] As described in steps S301 to S302 above, the simulation constructs a water two-phase substitution simulation model at the slit interface by combining the phase-field method and the Navier-Stokes equations.

[0035] The phase-field method identifies different phase regions and transition regions between different phases by introducing a phase-field variable φ. The Cahn-Hilliard equation (a nonlinear differential equation for describing multiphase systems and used to simulate phase change processes in multiphase systems) is a convection-diffusion equation for controlling changes in the interface contour, and this equation shows that the change in the phase-field variable φ over time and the change under the influence of convection and diffusion are in equilibrium.

[0036]

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[0037] At the gas-liquid interface, the following equation is used to determine the density ρ that smoothly changes across the two-phase interface. BD (kg / m 3 ) and viscosity μ BD Define (Pa·s).

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[0038] The Navier-Stokes equations are used to describe the mass and momentum transport properties of incompressible fluids. Considering the effects of interfacial tension, the two-phase Navier-Stokes equations and continuity equations can be expressed as follows:

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[0039] ρ is the density (kg / m³). 3 ) represents, μ represents dynamic viscosity (Pa·s), u represents velocity (m / s), p represents inlet pressure (Pa), I represents unit vector, F st represents the interfacial tension (N / m) of the two-phase fluid, and g represents the gravity vector.

[0040] In the phase-field method, convection and diffusion in the interface region cause a change in the interface free energy, thereby affecting the interface tension F. st This can be defined as follows:

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[0041] Furthermore, the size of the power distribution switch is much smaller than the wavelength of the 50Hz electromagnetic wave of the commercial power supply, and the electric field inside the crack of the power distribution switch can be analyzed using electrostatic field theory, and the electric field E and displacement field D can be obtained by the electric potential.

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[0042] ε0 represents the permittivity of free space, and ε r ρ represents the relative permittivity, Q This represents the space charge density.

[0043] In the simulation, assuming the bottom plane of the model is grounded and the potential of the top plane is 8165 × sin(100πt), the results are shown in Figure 4. Over time, water gradually flows into the crack from top to bottom under the influence of gravity and surface tension. Different water flow paths have different lengths due to the roughness of different regions of the crack surface. As a result, the water-gas interface does not move horizontally downward, as shown at time points such as 25ms and 45ms. However, overall, the water-gas interface moves steadily downward, and the length of the air gap also gradually decreases. Note that under the influence of the commercial power frequency voltage, the distribution of the electric field within the crack changes over time.

[0044] In Figure 4, the high-electric-field-strength region is mainly located near the water-air interface. As water flows into the crack, the maximum electric-field strength inside the crack was recorded at intervals of 0.1 ms from 0 ms, and the resulting curve is shown in Figure 4.

[0045] Furthermore, under the influence of the commercial power frequency voltage, if the positions of the two electrodes and the dielectric properties between them remain unchanged, the maximum electric field strength between the electrodes will change with the voltage every half-cycle, initially increasing and then decreasing. Therefore, if the maximum electric field strength exceeds the dielectric breakdown strength, discharge will occur before the voltage reaches its peak. Otherwise, the electric field strength will decrease with the decrease in voltage, and no discharge will occur.

[0046] However, in a cracked power distribution switch operating on a rainy day, the length of the air gap is shortened by water flowing into the crack. As shown in Figure 4, this means that the dielectric properties between the two electrodes also change over time, and the peak of the maximum electric field strength may occur when the voltage rises or falls within half a cycle of the commercial power frequency. Therefore, as water flows into the crack, discharge can occur not only when the voltage rises, but also when it falls after reaching its peak.

[0047] Based on the initial arc conditions obtained from electric field simulations and discharge initiation analysis, we will analyze the relationship between the arc voltage and current during arc combustion, and their effects on arc conductance and arc resistance.

[0048] During arc combustion, the arc voltage and current supply energy to the arc. Some of this energy is dissipated into the surrounding environment through convection, conduction, and radiation, while the remaining energy is used to maintain the plasma state of the arc. This process can be described by the following thermal equilibrium equation.

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[0049] d is the differential symbol, Q s This represents arc energy, P loss represents the dissipated power, and i represents the arc voltage and current, respectively. If we represent g as the arc conductance, the equation can be transformed as follows:

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[0050] ln is the logarithmic function, time constant τ, and dissipative power, P loss This can be expressed in different forms depending on different assumptions. Models such as Mayr, Schwarz, and Cybernetic yield good results in arc simulations. Using the Cybernic arc model as an example, P arc and R arc A schematic diagram showing the trend of change is shown in Figure 5.

[0051] As the power that Parc supplies to the arc decreases, the energy Q required to maintain arc combustion decreases. s This also decreases. This results in a decrease in arc temperature and diameter, and arc resistance Rarc This leads to a rapid increase in P. arc When R decreases to near its minimum value, arc It reaches its maximum value at an even faster rate. This is the main reason why, as the arc current waveform approaches zero, a phenomenon occurs where, instead of a sharp rise or fall, a waveform section with a temporarily gradual change appears.

[0052] When the air gap within the crack is breached, the current flows through the water and arc regions. Because the arc length is less than 2 cm, the resistance is low during intense combustion. The conductivity of rainwater is in the range of tens to hundreds of ohms. Resistance calculation formula

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[0053] Based on the analysis described above, when the power applied to the crack decreases, R arc This increases accordingly. However, the thermal effect of the electric current causes the rainwater in the cracks to heat up and evaporate, thereby increasing the length of the water body L. W This shortens the cross-sectional area S of the water body due to the limitations of the crack wall surface. W It is kept almost constant. As a result, R water It decreases continuously. Therefore, before the power decreases to a certain extent, the change in resistance between the conductor and the iron leg is mainly R water This depends on the decrease of R water +R arc P arc As it decreases, it means that it first decreases and then increases.

[0054] Based on arc energy dissipation data calculated during the arc process, we analyze the characteristics of high-temperature air after arc energy dissipation and discharge self-clearing.

[0055] In an open-space environment, the energy dissipated by convection and radiation from an arc thermally ionizes the air surrounding the arc. This ionized air becomes part of the arc plasma, which manifests as a visual phenomenon of increased arc column diameter. This phenomenon makes the arc more likely to reignite after the current has died down due to the remaining high-temperature air. However, the size of the air region within a crack is limited, and most of the energy dissipated by the arc is absorbed by the crack surface. Compared to an arc in an open space, an arc within a crack has less remaining high-temperature air after the current has died down and is less likely to reignite.

[0056] As described above, water that flows into a crack evaporates due to the thermal effect of the electric current. The energy W required for this evaporation process. lat This can be calculated using the following equation.

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[0058] In one embodiment, step S2, which sets the phase field variables of the initial two-phase simulation model based on rainwater parameters, includes the following steps.

[0059] S201: Simulates two-phase water flow inside a crack using the Cahn-Hilliard equation and the Navier-Stokes equation.

[0060] In one embodiment, step S201, which simulates two-phase water flow inside a crack using the Cahn-Hilliard equation and the Navier-Stokes equation, The step involves identifying different phase regions and transition regions between different phases by introducing a phase field variable φ, the equation of which is as follows:

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[0061] In one embodiment, the following steps are further included prior to step S3, which involves analyzing the crack parameters and the predicted arc parameters of the potential difference based on the target simulation model.

[0062] S301: A failure threshold is set based on the potential difference and the material parameters of the power distribution switch.

[0063] S302: Obtain the maximum electric field strength in the crack region of the target simulation model.

[0064] S303: Determine whether the maximum electric field strength is greater than the breakdown threshold.

[0065] S304: If the maximum electric field strength is greater than the fracture threshold, the step of analyzing the crack parameters, the predicted arc parameters of the potential difference, and the predicted air characteristics after discharge self-clearance is performed based on the target simulation model.

[0066] As described in steps S301 to S304 above, the dielectric breakdown threshold E x Set the maximum electric field strength E in the crack region. max The threshold is abnormal. x Compare whether it exceeds or exceeds E max That's abnormal x If it exceeds this, we predict that discharge will occur before the voltage reaches its peak. max That's abnormal x If the electric field strength cannot be exceeded, the electric field strength decreases with the decrease in voltage, and no discharge occurs. Therefore, if the maximum electric field strength is greater than the failure threshold, the step of analyzing the crack parameters, the predicted arc parameters of the potential difference, and the predicted air characteristics after discharge self-clearing is performed based on the target simulation model; otherwise, no arc phenomenon occurs, and no subsequent detection is necessary.

[0067] In one embodiment, step S5, which compares the predicted arc parameter with the actual arc parameter, includes the following steps.

[0068] S501: Based on the predicted arc parameters, obtain the minimum threshold for arc duration.

[0069] S502: Determine the actual duration of the arc with the actual arc parameters described above.

[0070] S503: If the actual duration is less than or equal to the minimum threshold for duration, it is determined that no premature failure has occurred in the power distribution switch. If the actual duration is greater than the minimum threshold for duration, it is determined that a premature failure has occurred in the power distribution switch.

[0071] As described in steps S501 to S503 above, there is an arc within the crack of the power distribution switch and the duration is less than the minimum time threshold t min If a value lower than the specified level is detected, it is determined that the local electric field strength is high, triggering and then extinguishing an arc, indicating the existence of a self-processing process. Since this level of failure is acceptable, it is recognized that no premature failure has occurred.

[0072] In one embodiment, after step S5, which involves comparing the predicted arc parameters with the actual arc parameters, the following steps are further included.

[0073] S601: Detect whether or not the re-ignition phenomenon has occurred again in the power distribution switch within a set time after the arc discharge has subsided.

[0074] S602: If a re-ignition phenomenon occurs, it is determined that an early failure has occurred in the power distribution switch.

[0075] As described in steps S601 to S602 above, if air remains after arc combustion and reignition is possible within a short time after arc discharge, it indicates that there is a persistent high electric field strength and unstable dielectric conditions inside the crack, i.e., that the power distribution switch is aging, and therefore it is recognized that an early failure has occurred. The water in the crack is evaporated by the thermal effect of the current, and the water evaporation energy calculated from this is the threshold W min-lat If the value exceeds a certain threshold, it is determined that the moisture content within the crack has decreased, and based on the inverse relationship between dielectric resistance and residual moisture content, it is determined that the dielectric resistance within the crack has increased.

[0076] The beneficial effects of this invention are as follows: Through continuous monitoring and accurate analysis of power distribution switches, this invention enables the timely identification and treatment of problems that could cause serious power failures, and enables more appropriate maintenance measures through detailed analysis of crack expansion and discharge behavior, thereby extending the service life of power distribution switches and associated power equipment. The predictive maintenance model of the system reduces unnecessary comprehensive inspection and maintenance costs, and allows resources to be concentrated on critical parts where failures are likely to occur. This resource optimization not only reduces direct maintenance costs but also contributes to reducing the costs of shutdowns due to sudden failures.

[0077] Referring to Figure 6, the present invention further provides an early fault detection system for power distribution switches. The system is Construction module 902 for building an initial air-water simulation model, An acquisition module 904 for obtaining a target simulation model by acquiring crack parameters, potential difference, and rainwater parameters of a power distribution switch to be detected, setting parameters in the crack of the initial simulation model based on the crack parameters, setting the potentials of the top and bottom of the initial simulation model based on the potential difference, and setting the phase field variables of the initial two-phase simulation model based on the rainwater parameters, An analysis module 906 for analyzing the crack parameters and the predicted arc parameters of the potential difference based on the target simulation model, A detection module 908 for detecting the actual arc parameters of the distribution switch, A comparison module 910 for comparing the predicted arc parameters with the actual arc parameters, The system includes a determination module 912 for determining whether or not an early failure has occurred in the power distribution switch based on the comparison results.

[0078] Furthermore, the other modules of the power distribution switch early fault detection system of the present invention, and the functions of each module, correspond one-to-one with the power distribution switch early fault detection method, and will not be described further here.

[0079] Figure 7 shows an internal structure diagram of a computer device according to one embodiment. This computer device may be a terminal or a server. As shown in Figure 7, this computer device includes a processor, memory, and a network interface connected via a system bus. The memory includes a non-volatile storage medium and internal memory. An operating system may be stored in the non-volatile storage medium of this computer device, and a computer program may also be stored therein. When this computer program is executed by the processor, the processor can implement an early fault detection method for a power distribution switch. A computer program may also be stored in the internal memory, and when this computer program is executed by the processor, the processor can implement an early fault detection method for a power distribution switch. As those skilled in the art will understand, the structure shown in Figure 7 is merely a block diagram of a partial configuration relating to the solution of this application and does not constitute a limitation of the computer device to which the solution of this application applies. Specifically, the computer device may include more or fewer components, or combinations of some components, or different component arrangements than those shown in the figure.

[0080] In one embodiment, a computer device is proposed, the computer device including memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, Steps to construct an initial air-water simulation model, The steps include: obtaining crack parameters, potential difference, and rainwater parameters of the power distribution switch to be detected; setting parameters in the crack of the initial simulation model based on the crack parameters; setting the potentials of the top and bottom of the initial simulation model based on the potential difference; and setting the phase field variables of the initial two-phase simulation model based on the rainwater parameters to obtain a target simulation model; The steps include analyzing the crack parameters and the predicted arc parameters of the potential difference based on the target simulation model, The steps include detecting the actual arc parameters of the power distribution switch, The steps include comparing the predicted arc parameters with the actual arc parameters, The processor is instructed to perform the step of determining whether or not an early failure has occurred in the power distribution switch based on the comparison results.

[0081] This invention enables the timely identification and treatment of problems that could cause serious power failures through continuous monitoring and accurate analysis of power distribution switches, and allows for more appropriate maintenance measures to be implemented through detailed analysis of crack expansion and discharge behavior, thereby extending the service life of power distribution switches and related power equipment.

[0082] In one embodiment, a computer-readable storage medium is proposed, in which a computer program is stored, and when the computer program is executed by a processor, Steps to construct an initial air-water simulation model, The steps include: obtaining crack parameters, potential difference, and rainwater parameters of the power distribution switch to be detected; setting parameters in the crack of the initial simulation model based on the crack parameters; setting the potentials of the top and bottom of the initial simulation model based on the potential difference; and setting the phase field variables of the initial two-phase simulation model based on the rainwater parameters to obtain a target simulation model; The steps include analyzing the crack parameters and the predicted arc parameters of the potential difference based on the target simulation model, The steps include detecting the actual arc parameters of the power distribution switch, The steps include comparing the predicted arc parameters with the actual arc parameters, The processor is instructed to perform the step of determining whether or not an early failure has occurred in the power distribution switch based on the comparison results.

[0083] This invention enables the timely identification and treatment of problems that could cause serious power failures through continuous monitoring and accurate analysis of power distribution switches, and allows for more appropriate maintenance measures to be implemented through detailed analysis of crack expansion and discharge behavior, thereby extending the service life of power distribution switches and related power equipment.

[0084] As those skilled in the art will understand, all or part of the flows in the methods of the above embodiments can be implemented by instructing the relevant hardware with a computer program, which may be stored in a computer-readable non-volatile storage medium and, when executed, may include the flows of the embodiments of each of the above embodiments. Any reference to memory, storage medium, database or other medium used in each embodiment of this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random-access memory (RAM) or external high-speed buffer memory. Rather than being an limitation, RAM can be obtained in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), extended SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), direct memory bus RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0085] Each of the technical features of the above embodiments can be implemented in any combination, and for the sake of brevity, not all possible combinations of each technical feature in the above embodiments are described. However, as long as these combinations of technical features are inconsistent, they are considered to be included within the scope of this specification.

[0086] The embodiments described above are merely some of the embodiments of this application, and while the description is more specific and detailed, it should not be understood as limiting the scope of the patent of this application. Those skilled in the art should note that several modifications and improvements can be made without departing from the spirit of this application, and these fall within the scope of protection. Therefore, the scope of protection of the patent of this application must be in accordance with the attached claims.

Claims

1. A method for early fault detection of a power distribution switch, Steps to construct an initial air-water simulation model, The steps include: obtaining crack parameters, potential difference, and rainwater parameters of the power distribution switch to be detected; setting parameters in the crack of the initial simulation model based on the crack parameters; setting the potentials of the top and bottom of the initial simulation model based on the potential difference; and setting the phase field variables of the initial two-phase simulation model based on the rainwater parameters to obtain a target simulation model; The steps include analyzing the crack parameters and the predicted arc parameters of the potential difference based on the target simulation model, The steps include detecting the actual arc parameters of the power distribution switch, The steps include comparing the predicted arc parameters with the actual arc parameters, A method for detecting an early failure of a power distribution switch, characterized by including the step of determining whether or not an early failure has occurred in the power distribution switch based on the comparison results.

2. The step of analyzing the crack parameters and the predicted arc parameters of the potential difference based on the target simulation model is: Based on the target simulation model, the steps include analyzing the first relationship between the arc voltage during arc combustion in the crack and the current, and the second relationship between the arc conductance and arc resistance, The method for detecting an early fault in a power distribution switch according to claim 1, further comprising the step of obtaining the predicted arc parameters based on the arc energy dissipation data calculated according to the first and second relationships.

3. The step of setting the phase field variables of the initial two-phase simulation model based on rainwater parameters is: The method for detecting an early failure of a power distribution switch according to claim 1, further comprising the step of simulating two-phase water flow inside a crack using the Cahn-Hilliard equation and the Navier-Stokes equation.

4. The step of simulating the two-phase water flow inside the crack using the Cahn-Hilliard equations and the Navier-Stokes equations is as follows: The step involves identifying different phase regions and transition regions between different phases by introducing a phase field variable φ, the equation of which is as follows: [Math 1] The function ∫ represents the partial derivative with respect to time t and is used to describe the rate of change of φ with respect to time. u・▽φ represents the convection term, u represents the fluid velocity (m / s), ▽φ represents the gradient of φ, and the dot product represents the rate of change of φ in the velocity direction. [Math 2] represents the diffusion term, ▽・ represents the divergence, and is used to describe the degree of divergence of ▽Ψ in space, and the coefficient [Math 3] γ represents the controlled diffusion rate, and γ represents the mobility (m). ３ Step and (s / kg) are represented, λ represents the mixing energy density (N), ε represents the interface thickness parameter (m), and Ψ represents the phase field auxiliary variable. At the gas-liquid interface, density ρ changes smoothly across the two-phase interface. ＢＤ and viscosity μ ＢＤ The step of defining as follows: [Math 4] ρ Ｗ represents the density of water (kg / m ３ ), ρ ａｉｒ represents the air density (kg / m ３ ), μ Ｗ represents the viscosity of water (Pa·s), μ ａｉｒ represents the air viscosity (Pa·s). The two-phase flow Navier-Stokes equations and continuity equations are expressed as follows: [Math 5] ρ is the fluid density (kg / m³). ３ ) represents, μ represents dynamic viscosity (Pa·s), u represents velocity (m / s), ▽u represents velocity gradient, (▽u) Ｔ represents the tensor transpose of the velocity gradient, p represents the inlet pressure (Pa), I represents the unit vector, and F ｓｔ This represents the interfacial tension (N / m) of a two-phase fluid, and g (m / s) represents the interfacial tension (N / m). ２ ) represents the gravity vector, and equation ▽・u=0 represents the incompressibility of the fluid, step and Convection and diffusion in the interface region cause changes in the interface free energy, resulting in interface tension F. ｓｔ This includes the step of defining as follows: [Math 6] The method for detecting an early failure of a power distribution switch according to claim 3, characterized in that it is the method for detecting an early failure of a power distribution switch.

5. Before the step of analyzing the crack parameters and the predicted arc parameters of the potential difference based on the target simulation model, The steps include setting a failure threshold based on the aforementioned potential difference and the material parameters of the power distribution switch, The steps include obtaining the maximum electric field strength in the crack region of the target simulation model, The steps include determining whether the maximum electric field strength is greater than the breakdown threshold, The method for detecting an early failure of a power distribution switch according to claim 1, further comprising the step of performing the step of analyzing the crack parameters, the predicted arc parameters of the potential difference, and the predicted air characteristics after discharge self-clearing, based on the target simulation model, if the maximum electric field strength is greater than the failure threshold.

6. The step of comparing the predicted arc parameters with the actual arc parameters is: The steps include obtaining a minimum threshold for arc duration based on the predicted arc parameters, The steps include determining the actual duration of the arc in the actual arc parameters, The method for detecting an early failure of a power distribution switch according to claim 1, comprising the steps of: determining that no early failure has occurred in the power distribution switch if the actual duration is less than or equal to the minimum threshold for duration; and determining that an early failure has occurred in the power distribution switch if the actual duration is greater than the minimum threshold for duration.

7. After the step of comparing the predicted arc parameters with the actual arc parameters, A step of detecting whether or not the re-ignition phenomenon occurred again in the power distribution switch within a set time after the arc discharge has subsided, The method for detecting an early failure of a power distribution switch according to claim 1, further comprising the step of determining that an early failure has occurred in the power distribution switch if a re-ignition phenomenon occurs.

8. An early fault detection system for power distribution switches, A construction module for building an initial air-water simulation model, An acquisition module for obtaining a target simulation model by acquiring crack parameters, potential difference, and rainwater parameters of a power distribution switch to be detected, setting parameters in the crack of the initial simulation model based on the crack parameters, setting the potentials of the top and bottom of the initial simulation model based on the potential difference, and setting the phase field variables of the initial two-phase simulation model based on the rainwater parameters, An analysis module for analyzing the crack parameters and the predicted arc parameters of the potential difference based on the target simulation model, A detection module for detecting the actual arc parameters of the aforementioned power distribution switch, A comparison module for comparing the predicted arc parameters with the actual arc parameters, A power distribution switch early failure detection system, characterized by including a determination module for determining whether or not an early failure has occurred in the power distribution switch based on the comparison results.

9. A computer-readable storage medium, wherein a computer program is stored therein, and when the computer program is executed by a processor, the processor is instructed to perform the steps of the method for detecting an early failure of a power distribution switch as described in any one of claims 1 to 7.

10. Computer equipment comprising memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor is instructed to perform the steps of the early fault detection method for a power distribution switch described in any one of claims 1 to 7.

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