Method, device and medium for separating and extracting overlapping sound signals of metal particles

Abstract

A method for separating and extracting the overlapping sound signals of multi-metal particles flying and colliding in GIS is disclosed. In the method, the voltage signal of the externally applied voltage of the GIS device and the sound signal generated by the collision of the particles with the GIS housing are collected. Based on the voltage signal and the sound signal, the first collision signal at the zero-crossing point of the voltage phase of the metal particles and the second collision signal at the non-zero-crossing point of the voltage phase are extracted. According to the first numerical relationship, the next adjacent first collision signal of the metal particles is extracted based on the first collision signal. According to the second numerical relationship, the next adjacent second collision signal of the metal particles is extracted based on the second collision signal. The mass of the metal particles is obtained based on the amplitudes and time intervals of at least one set of two adjacent first collision signals. The charge of the metal particles is obtained based on the amplitudes and time intervals of at least one set of two adjacent second collision signals. The density and geometric size are obtained based on the charge and the geometric shape of the metal particles.

Description

Technical Field

[0001] The present invention relates to the technical fields of high-voltage electrical appliances and defect detection technology in GIS / GIL, and particularly to a method, device and medium for separating and extracting the overlapping sound signals of multiple metal particles flying and colliding in GIS. Background Art

[0002] In the technical fields of high-voltage electrical appliances and defect detection in GIS / GIL, metal particles are one of the most common defects in GIS. Due to the existence of metal particles, it will pose a huge potential threat to the insulation performance of GIS. Therefore, the detection of metal particles in GIS is an urgent problem to be solved.

[0003] At present, the detection of metal particles in GIS mainly realizes the qualitative identification of metal particles by drawing the single-particle ultrasonic flight time spectrogram, and ignores the action of the electric field force on the particles during the estimation of the particle mass. Therefore, there is a large error in the estimation result, and it is impossible to estimate the particle material and size.

[0004] The above information disclosed in the background art is only used to enhance the understanding of the background of the present invention, and thus may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0005] The object of the present invention is to provide a method, device and medium for separating and extracting the overlapping sound signals of multiple metal particles flying and colliding in GIS. By combining the particle collision sound signal and the externally applied power frequency voltage signal, by extracting the particle collision signal when the voltage phase passes through or approaches zero at the moment of particle collision, and according to the restitution coefficient of particle collision and shell collision, the amplitude range of the collision sound signal when the particle collides with the shell again is obtained. Among the adjacent several collision signals after this collision signal, the signal amplitude when the particle collides with the shell again and the corresponding time interval between two adjacent collisions are found, and then the corresponding metal particle mass is deduced. Similarly, by establishing the connection between two adjacent collision signals in the process of multi-particle charged flight, two adjacent collision signals in the process of multi-particle charged flight are extracted, and the extraction and separation of the corresponding collision signals in the process of multi-particle charged flight are realized.

[0006] In order to achieve the above object, the present invention provides the following technical solutions:

[0007] A method for separating and extracting the overlapping sound signals of multiple metal particles flying and colliding in GIS of the present invention includes:

[0008] Apply a voltage outside the GIS device, and collect the voltage signal of the externally applied voltage of the GIS device and the sound signals generated by multiple metal particles colliding with the GIS shell.

[0009] Establish a first physical model for the non-charged movement process of metal particles and a second physical model for the charged movement process of metal particles, and obtain a first numerical relationship between adjacent two collision signals in the non-charged movement process and a second numerical relationship between adjacent two collision signals in the charged movement process;

[0010] Extract a first collision signal when the voltage phase of the metal particle passes through zero and a second collision signal when the voltage phase does not pass through zero based on the voltage signal and the acoustic signal;

[0011] According to the first numerical relationship, extract the next adjacent first collision signal of the metal particle based on the first collision signal, and according to the second numerical relationship, extract the next adjacent second collision signal of the metal particle based on the second collision signal;

[0012] Obtain the mass of the metal particle based on the amplitude and time interval of at least one set of two adjacent first collision signals, obtain the charge amount of the metal particle based on the amplitude and time interval of at least one set of two adjacent second collision signals, and obtain the density and geometric size of the metal particle based on the charge amount and the geometric shape of the metal particle.

[0013] In the method for separating and extracting the overlapping acoustic signals of multiple metal particles flying and colliding in GIS, extract multiple sets of first collision signals and second collision signals, obtain the mass, density and geometric size of multiple sets of metal particles, and take the average value of the mass, density and geometric size within a predetermined ratio of the error as the final result.

[0014] In the method for separating and extracting the overlapping acoustic signals of multiple metal particles flying and colliding in GIS, the predetermined ratio is 20%.

[0015] In the method for separating and extracting the overlapping acoustic signals of multiple metal particles flying and colliding in GIS, use an ultrasonic signal sensor to collect the acoustic signal and use an oscilloscope to record the voltage signal.

[0016] In the method for separating and extracting the overlapping acoustic signals of multiple metal particles flying and colliding in GIS, the first physical model includes metal particles in a projectile motion with a predetermined initial velocity. Based on free projectile motion, establish a first numerical relationship between adjacent two collision signals in the non-charged movement process, which includes the numerical relationship between the amplitudes of the collision signals.

[0017] In the method for separating and extracting the overlapping acoustic signals of multiple metal particles flying and colliding in GIS, in the first physical model, the mass of the metal particle is wherein,

[0018] A i+1 is the next adjacent first collision signal, Δt is the time interval between adjacent two first collision signals in the non-charged movement process of the particle, k s$k$ is the sensitivity coefficient of the calibrated acoustic signal sensor, and $g$ is the acceleration due to gravity.

[0019] In the method for separating and extracting the multi-metal particle flying collision aliasing acoustic signal in GIS, the second physical model includes the electric field force and the gravity.

[0020] In the method for separating and extracting the multi-metal particle flying collision aliasing acoustic signal in GIS, in the second physical model, the charge $q$ of the metal particle during the $i$-th charged motion process is i as follows:

[0021] where $m$ is the mass of the metal particle, $\Delta v$ i is the velocity difference between two adjacent collisions during the charged motion of the particle, and $\Delta t$ i is the corresponding time interval $\Delta t$ i , $E$ is the electric field in the GIS housing space, and $g$ is the acceleration due to gravity.

[0022] In the method for separating and extracting the multi-metal particle flying collision aliasing acoustic signal in GIS, the electric field $E$ in the GIS is obtained from the voltage signal.

[0023] In the method for separating and extracting the multi-metal particle flying collision aliasing acoustic signal in GIS, the GIS housing is a coaxial cylindrical structure, the metal particle is spherical, and the radius of the metal particle is $r$ is the radius of the metal particle, and $q$ i is the charge of the metal particle after the $i$-th collision with the GIS housing, $\varepsilon_0$ is the vacuum permittivity, and $\varepsilon$ r is the relative permittivity of the SF6 gas, and $E$ i is the field strength at the bottom of the GIS housing at the moment of collision between the metal particle and the GIS housing.

[0024] A separation and extraction device for implementing the method for separating and extracting the multi-metal particle flying collision aliasing acoustic signal in GIS includes

[0025] a voltage measurement device, which is connected to the GIS device to collect the voltage signal of the externally applied voltage;

[0026] an acoustic signal collection device, which is connected to the GIS housing to collect the acoustic signal generated by the collision;

[0027] a processor, which is connected to the voltage measurement device and the acoustic signal collection device. The processor obtains the mass of the metal particle based on the amplitude and time interval of at least one group of two adjacent first collision signals, and also obtains the amplitude and time interval of at least one group of two adjacent second collision signals based on the voltage signal and the acoustic signal to obtain the charge of the metal particle, and obtains the density and geometric size of the metal particle based on the charge and the geometric shape of the metal particle.

[0028] In the separation and extraction device, the acoustic signal acquisition device includes an ultrasonic signal sensor.

[0029] In the separation and extraction device, the processor is connected to an oscilloscope.

[0030] A computer-readable storage medium stores or executes the method for separating and extracting the multi-metal particle flying collision aliasing acoustic signal in the GIS.

[0031] In the above technical solution, a method, device and medium for separating and extracting the multi-metal particle flying collision aliasing acoustic signal in the GIS provided by the present invention have the following beneficial effects: The method for separating and extracting the multi-metal particle flying collision aliasing acoustic signal in the GIS of the present invention collects the external applied voltage signal of the GIS and the acoustic signal generated by the collision of the particle with the GIS housing. By extracting the collision signal when the voltage phase at the time of particle collision is at the zero crossing point, at this time the charge of the particle is zero, and the particle makes an upward throw motion with a certain initial velocity in the next motion cycle. The adjacent next collision signal is the next collision signal in the non-charged motion process of the particle. Based on this, the amplitude and time interval of two adjacent collision signals in the non-charged motion process of the same particle can be obtained, and then the mass of the corresponding metal particle can be calculated. For the charged flight process of the particle, that is, the moment when the particle collides with the GIS housing is at a non-zero crossing point of the voltage phase, the particle has a certain amount of induced charge after the collision. In the next flight process of the particle, it is mainly affected by the electric field force and the gravity. The electric field force is mainly affected by the charge of the particle and the spatial electric field at the position where it is located. Based on this, a physical model of the charged flight process of the particle can be established. According to the amplitude, time interval of two adjacent collision acoustic signals in the charged flight process of the particle and the corresponding external applied electric field magnitude, the charge of the particle in the charged flight process can be roughly estimated. Combining the particle charge calculation formula and the geometric shape of the particle, the material and size of the particle can be estimated. Description of the Drawings

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required to be used in the embodiments. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0033] Figure 1 It is a schematic flow chart of the method for separating and extracting the multi-metal particle flying collision aliasing acoustic signal in the GIS of the present invention;

[0034] Figure 2 It is a schematic diagram of the non-charged motion process of the particle in the method for separating and extracting the multi-metal particle flying collision aliasing acoustic signal in the GIS of the present invention;

[0035] Figure 3 Adjacent collision signal A of the non-charged movement process of microparticles for the method of separating and extracting multi-metal microparticle flying collision aliasing sound signals in GIS in the present invention i+1 Discrimination flowchart. Specific implementation manners

[0036] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0037] Therefore, the following detailed description of the embodiments of the present invention provided in the appendices Figures 1 to 3 is not intended to limit the scope of the claimed present invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0038] It should be noted that like reference numerals and letters denote like items in the following figures, and thus, once an item is defined in one figure, it does not require further definition and explanation in subsequent figures.

[0039] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation of the present invention.

[0040] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present invention, "a plurality" means two or more, unless otherwise specifically defined.

[0041] In the present invention, unless otherwise clearly specified or limited, terms such as "installation", "connection", "linkage", "fixation" and the like shall be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral body; it may be a direct connection, or an indirect connection through an intermediate medium, and may be the internal communication of two components or the interaction relationship between two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0042] In the present invention, unless otherwise clearly specified or limited, the first feature being "above" or "below" the second feature may include the direct contact between the first and second features, or may include the situation where the first and second features are not in direct contact but in contact through other features therebetween. Moreover, the first feature being "above", "over" and "on top of" the second feature includes that the first feature is directly above and obliquely above the second feature, or merely means that the horizontal height of the first feature is higher than that of the second feature. The first feature being "below", "beneath" and "underneath" the second feature includes that the first feature is directly below and obliquely below the second feature, or merely means that the horizontal height of the first feature is lower than that of the second feature.

[0043] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings. As Figures 1 to 3 shown, a method for separating and extracting multi-metal particle flying collision aliasing sound signals in a GIS includes

[0044] applying a voltage externally to the GIS device, collecting the voltage signal of the externally applied voltage of the GIS device and the sound signals generated by the collision of a plurality of metal particles with the GIS housing,

[0045] establishing a first physical model of the non-charged movement process of the metal particles and a second physical model of the charged movement process of the metal particles, obtaining a first numerical relationship between adjacent two collision signals in the non-charged movement process and a second numerical relationship between adjacent two collision signals in the charged movement process,

[0046] extracting a first collision signal when the voltage phase of the metal particles passes through zero and a second collision signal when the voltage phase does not pass through zero based on the voltage signal and the sound signal,

[0047] extracting the next adjacent first collision signal of the metal particles based on the first collision signal according to the first numerical relationship, and extracting the next adjacent second collision signal of the metal particles based on the second collision signal according to the second numerical relationship,

[0048] Obtain the mass of the metal particles based on the amplitudes and time intervals of two adjacent first collision signals of at least one group, obtain the charge of the metal particles based on the amplitudes and time intervals of two adjacent second collision signals of at least one group, and obtain the density and geometric size of the metal particles based on the charge and the geometric shape of the metal particles.

[0049] In a preferred embodiment of the method for separating and extracting the multi-metal particle flight collision aliased sound signals in GIS, extract multiple groups of first collision signals and second collision signals, obtain the masses, densities and geometric sizes of multiple groups of metal particles, and calculate the average value of the masses, densities and geometric sizes within a predetermined ratio of error as the final result.

[0050] In a preferred embodiment of the method for separating and extracting the multi-metal particle flight collision aliased sound signals in GIS, the predetermined ratio is 20%.

[0051] In a preferred embodiment of the method for separating and extracting the multi-metal particle flight collision aliased sound signals in GIS, use an ultrasonic signal sensor to collect the sound signals and an oscilloscope to record the voltage signals.

[0052] In a preferred embodiment of the method for separating and extracting the multi-metal particle flight collision aliased sound signals in GIS, the first physical model includes metal particles in a vertical upward motion with a predetermined initial velocity. Based on the vertical upward motion, establish a first numerical relationship between two adjacent collision signals during the non-charged motion process, which includes the numerical relationship between the amplitudes of the collision signals.

[0053] In a preferred embodiment of the method for separating and extracting the multi-metal particle flight collision aliased sound signals in GIS, in the first physical model, the mass of the metal particle is Where

[0054] A i+1 is the next adjacent first collision signal, Δt is the time interval between two adjacent first collision signals during the non-charged motion process of the particle, k s is the calibrated sensitivity coefficient of the sound signal sensor, and g is the acceleration due to gravity.

[0055] In a preferred embodiment of the method for separating and extracting the multi-metal particle flight collision aliased sound signals in GIS, the second physical model includes the action of electric field force and gravity.

[0056] In a preferred embodiment of the method for separating and extracting the multi-metal particle flight collision aliased sound signals in GIS, in the second physical model, the charge q of the metal particle during the i-th charged motion process is i as follows: Where m is the mass of the metal particle, Δv iis the velocity difference between two adjacent collisions during the charged movement of the microparticle, and Δt i is the corresponding time interval Δt i , E is the spatial electric field inside the GIS housing, and g is the acceleration due to gravity.

[0057] In the preferred embodiment of the method for separating and extracting the multi-metal microparticle flight collision aliased sound signals in a GIS, the spatial electric field E inside the GIS is obtained from the voltage signal.

[0058] In the preferred embodiment of the method for separating and extracting the multi-metal microparticle flight collision aliased sound signals in a GIS, the GIS housing is a coaxial cylindrical structure, the metal microparticle is spherical, and the radius of the metal microparticle is r is the radius of the metal microparticle, q i is the charge carried by the metal microparticle after the i-th collision with the GIS housing, ε0 is the vacuum permittivity, and ε r is the relative permittivity of the SF6 gas, and E i is the field strength at the bottom of the GIS housing at the moment when the metal microparticle collides with the GIS housing.

[0059] In one embodiment, as Figure 1 shown, the method includes,

[0060] Synchronously collect the microparticle collision sound signal and the applied voltage signal by using a sound signal sensor and an oscilloscope.

[0061] Extract the collision signal when the microparticle collision signal is at the zero crossing of the voltage phase, denoted as A i .

[0062] Establish a physical model of the non-charged movement process of the microparticle, obtain the relationship between the amplitudes of two adjacent collision signals in the non-charged movement process of the microparticle, and combine the amplitude A of the collision signal at the zero crossing of the extracted voltage phase i and the amplitude of the next adjacent collision signal A i+1 in the interval where the amplitude is located.

[0063] According to the estimated amplitude interval of A i+1 and the discrimination method of the next adjacent collision signal, extract the amplitudes of two adjacent collision signals in the non-charged movement process of the microparticle and the corresponding time interval.

[0064] Combine the vertical upward throwing theory of an object and the corresponding microparticle mass calculation formula to calculate the mass of the microparticle. According to the multiple sets of sound signals that meet the signal extraction conditions, multiple sets of microparticle masses can be calculated. Further, eliminate the results with large mutual errors, retain the estimated results with mutual errors within 20%, and calculate the average value to obtain the corresponding microparticle mass.

[0065] Similarly, a physical model of the charged particle motion process is established. The particle motion process is mainly affected by the electric field force and gravity. The connection between the amplitudes of two adjacent collision signals in the charged particle motion process is obtained, and the next collision signal A of the charged particle is calculated. i+1 The range in which the amplitude lies.

[0066] According to the estimation, the A of charged particles i+1 The amplitude range of , after the previous collision signal, find the collision signal in the above collision signal range, which is the next collision signal of the charged particle. Based on this, the two adjacent collision signals of the charged motion process corresponding to multiple particles can be extracted.

[0067] Furthermore, a physical model of the charged particle motion process is established. The particle motion process is mainly affected by the electric field force and gravity. The electric field variation law in the GIS shell space is obtained by combining the external voltage signal, and the relationship between the amplitudes of two adjacent collision signals in the charged particle motion process is obtained. The particle charge during the flight of the charged particle is calculated.

[0068] Based on the estimated charge amount of the charged particles during their flight and the particle geometry, the particle geometry size and particle density can be further estimated.

[0069] In one embodiment, the method includes collecting GIS external voltage signals and acoustic signals generated by the collision between particles and GIS shells, establishing a physical model of the particle non-charged motion process, obtaining the numerical connection between two adjacent collision signals of the particle non-charged motion process, extracting the particle voltage phase zero-crossing collision signal, extracting the next adjacent collision signal of the particle non-charged motion process, extracting the particle voltage phase non-zero-crossing collision signal and the next adjacent collision signal, establishing a physical model of the particle charged motion process, obtaining the numerical connection between two adjacent collision signals of the particle charged motion process, estimating the particle charge according to the physical model of the particle charged motion process, and then estimating the material and size of the spherical particles, extracting multiple groups of collision signals that meet the conditions, estimating multiple groups of particle mass, material, size and other information, eliminating estimation results with large errors, averaging the remaining results with small errors, and reducing the estimation error.

[0070] Furthermore, based on the collected external applied voltage signal and particle collision signal, and according to the voltage phase of the particle collision sound signal, the ultrasonic signal of the particle collision sound signal at the voltage zero point is extracted, that is, the sound signal that satisfies the ultrasonic signal at the moment when the voltage crosses zero.

[0071] Furthermore, extract the next adjacent collision signal when the particulate collision signal is at the zero crossing of the voltage phase. Since the charge carried by the particulate does not change during its flight and only changes when the particulate collides with the housing, according to the principle of induced charge on the particulate, when the particulate collides with the housing at the zero crossing of the voltage phase, the charge carried by the particulate is zero. Therefore, the next collision process of the particulate can be equivalent to a vertically upward motion with an initial velocity.

[0072] In one embodiment, based on the applied voltage signal, the variation law of the electric field in the GIS pipeline space can be calculated. By combining the amplitudes of the adjacent two collision sound signals during the charged motion process of the particulate and the corresponding time intervals, the amount of charge carried by the particulate during its charged flight can be calculated. For spherical metal particulates, knowing the amount of charge carried by the particulate and the charge calculation formula, the material and size of the particulate can be estimated.

[0073] In one embodiment, based on the applied voltage signal, the variation law of the electric field in the GIS pipeline space can be calculated. By combining the amplitudes of the adjacent two collision sound signals during the charged motion process of the particulate and the corresponding time intervals, the amount of charge carried by the particulate during its charged flight can be calculated. For spherical metal particulates, knowing the amount of charge carried by the particulate and the charge calculation formula, the material and size of the particulate can be estimated.

[0074] Furthermore, Figure 2 The equivalent schematic diagram of the non-charged motion process of the particulate is given. A i and A i+1 are respectively the amplitudes of the collision sound signals of the particulate with the housing at the i-th and (i + 1)-th times, v i and v i+1 are respectively the magnitudes of the collision velocities of the particulate with the housing at the i-th and (i + 1)-th times. The i-th collision is at the zero crossing of the voltage phase, so the charge carried by the particulate after the i-th collision is zero, and the particulate makes a vertically upward motion with an initial velocity. According to the principle of vertical upward motion, the mass of the particulate can be calculated based on the amplitudes and time intervals of the adjacent two collision signals during the non-charged motion process of the particulate. The calculation formula is as follows:

[0075]

[0076] A i is the collision signal when the particulate collides with the housing at the zero crossing of the voltage phase, A i+1 is the next adjacent collision signal, Δt is the time interval between the adjacent two collision sound signals during the non-charged motion process of the particulate, k s is the calibrated sensitivity coefficient of the sound signal sensor, and g is the acceleration due to gravity.

[0077] If the above particulate mass calculation formula is to be applied, a very crucial quantity A needs to be determined i+1, that is, the amplitude of the acoustic signal when the particle collides with the shell again after vertical upward throwing motion.

[0078] Furthermore, since the GIS / GIL shell is arc-shaped, due to the tangential frictional force on the contact surface when the particle collides with the shell, the particle collision process has a certain randomness. Therefore, the collision restitution coefficient is not a fixed constant. For common particle materials and the aluminum alloy material of GIS / GIL, its collision restitution coefficient is between 0.5 and 0.9. The numerical relationship between the amplitudes of the collision signals is A i+1 in the range of (0.5 - 0.9)A i interval.

[0079] Furthermore, according to the amplitude A of the acoustic signal of the i-th voltage phase zero-crossing collision of the particle i and the collision velocity restitution coefficient k (0.5 - 0.9) of the particle with the GIS / GIL shell, it is possible to estimate the amplitude A of the acoustic signal of the next adjacent collision of the particle with the shell i+1 in the range of (0.5 - 0.9)A i interval. Based on this, the two collision signals and the corresponding time intervals during the non-charged motion process of the particle can be extracted, and then the particle mass can be calculated according to the above particle mass calculation formula. However, in the actual signal extraction process, for the case where the masses of multiple particles are similar, it may occur that the adjacent collision signals after the collision signal at the voltage phase zero-crossing as shown in the following figure are all in the range of (0.5 - 0.9)A i interval.

[0080] Furthermore, relying only on A i+1 being in the range of (0.5 - 0.9)A i interval is already difficult to meet the above situation. Add corresponding discriminant conditions as follows Figure 3 The following gives a more stringent flow chart for extracting adjacent collision signals A during the non-charged motion process of the particle i+1 of the particle.

[0081] As Figure 3 shown, based on the extracted collision signal A at the voltage phase zero-crossing of the particle collision, the discriminant process of the next adjacent collision signal A during the non-charged motion process is given i of the particle. i+1 of the particle.

[0082] Furthermore, according to the above discriminant block diagram, first, it is judged whether the amplitude A of the (i + 1)-th collision signal is in the range of (0.5 - 0.9)A i+1 interval. If the result is negative, then continue to judge whether the (i + 2)-th collision signal is in the range of (0.5 - 0.9)A i interval. If the result is negative, then continue to judge whether the (i + 2)-th collision signal is in the range of (0.5 - 0.9)A iInterval. If it is still negative, exit the loop and abandon the extraction of the adjacent two collision signals of this non-charged motion process. If it is positive, the (i + 2)-th collision signal is the next adjacent collision signal of the particle. If the amplitude A of the i + 1-th collision signal i+1 is in the range of (0.5 - 0.9)A i interval, it cannot be immediately determined that the (i + 1)-th collision signal is the next adjacent collision signal of the particle. It is also necessary to determine whether the (i + 1)-th signal is in the range of (0.5 - 1.7)A i-1 interval. This step is used to determine whether the (i + 1)-th signal is the next collision signal of another particle. If it is negative, it is determined that the (i + 1)-th signal is the next adjacent collision signal. If it is positive, it is necessary to further determine whether the (i + 2)-th signal is in the range of (0.5 - 0.9)A i interval. If so, the (i + 2)-th collision signal is the next adjacent collision signal. If negative, exit the discrimination.

[0083] Furthermore, according to the above discrimination conditions, the adjacent two collision signals of the non-charged motion process of the particle can be extracted. Then, according to the particle mass calculation formula, the particle mass can be estimated. Since the collected particle collision signals are for a continuous period of time, there may be multiple groups of signals that meet the above signal extraction conditions, and multiple particle masses will be calculated. Classify these particles, group those with similar masses into one category, and calculate the average value of the particles with similar masses to obtain the mass of each particle under the condition of the existence of multiple particles.

[0084] Furthermore, use the same method as extracting the adjacent two collision signals of the non-charged motion process of multiple particles above to establish the physical model and numerical relationship between the adjacent two collision signals of the charged motion process of multiple particles, and extract the adjacent two collision signals of the charged motion process of multiple particles.

[0085] Furthermore, according to the adjacent two collision signals of the charged motion process of multiple particles extracted and the applied interval, combined with the externally applied voltage signal, obtain the characteristic parameters such as the particle material and size.

[0086] In one embodiment, a method for separating and extracting the overlapping sound signals of multi-metal particles flying and colliding in GIS. According to the externally applied voltage signal in GIS and the sound signal generated by the collision of particles with the GIS housing, by extracting the collision signal when the voltage phase at the time of particle collision is at the zero crossing point, at this time the charge of the particle is zero, and the particle makes an upward throw motion with a certain initial velocity in the next motion cycle. According to the collision velocity recovery coefficient of the particle and the housing and the sensitivity of the ultrasonic detection device, the amplitude range of the ultrasonic signal of the next particle collision can be inferred, and then the next adjacent collision signal within this signal range can be found in the collision signals after this collision signal, so that the amplitude and time interval of two adjacent collision signals in the non-charged motion process of the same particle can be obtained. Based on this, the mass of the corresponding metal particle can be calculated. For the charged flight process of the particle, the particle is mainly affected by the electric field force and the gravity during the flight process. The electric field force is mainly affected by the charge of the particle and the spatial electric field at the location. Based on this, a physical model of the charged flight process of the particle can be established, and the relationship between the amplitudes of the collision signals between two adjacent collisions in the charged flight process of the particle can be obtained, so as to extract the two adjacent collision signals corresponding to the charged flight process of multiple particles.

[0087] According to the above equivalent model of the non-charged motion process of the particle and the numerical relationship between two adjacent collision sound signals in the non-charged motion process of the particle, the mass of the particle can be accurately estimated. Further, extract the collision signal B when the particle is at a non-zero crossing point of the voltage phase i and the next adjacent collision signal B i+1 . According to the amplitude of the particle collision sound signal and the mass of the particle calculated above, the magnitude of the particle collision velocity can be calculated, as shown in Equation (2).

[0088]

[0089] Further, the magnitudes of the collision velocities v i and v i+1 between two adjacent collisions in the charged motion process of the particle can be calculated respectively through the amplitudes of the two adjacent collision sound signals in the charged motion process of the particle and the mass of the particle, and a numerical relationship between the collision velocities between two adjacent collisions in the charged motion process is established, as shown in Equation (3)

[0090]

[0091] Further, the acceleration calculation formula of the charged flight process of the particle in the above Equation (3) is given. The particle is mainly affected by the electric field force and the gravity during the charged flight process. Therefore, the acceleration of the charged flight process of the particle is as shown in Equation (4)

[0092]

[0093] In the formula, E is the magnitude of the spatial electric field in GIS, which can be calculated according to the externally applied voltage, q iis the charge amount during the i-th charged flight of the particle.

[0094] Furthermore, based on the difference in collision velocities Δv between two adjacent times during the non-charged motion process of the particle i and the corresponding time interval Δt i , the charge amount q of the particle during the i-th charged motion process can be calculated i , as shown in Equation (5)

[0095]

[0096] Furthermore, the GIS housing is a coaxial cylindrical structure. Therefore, the calculation formula for the electric field in the electrode space is as shown in Equation (6)

[0097]

[0098] Furthermore, by calculating the charge amount of the particle during the charged flight process using the above Equation (4), and combining with the geometric shape of the particle, the size of the particle can be estimated. Taking a spherical metal particle as an example, the calculation formula for the charge amount of the spherical particle is as shown in Equation (7)

[0099]

[0100] Furthermore, based on the calculated charge amount of the spherical particle and the calculation formula for the charge amount of the particle, the radius of the particle is calculated, as shown in Equation (8)

[0101]

[0102] Furthermore, based on the estimated radius of the spherical particle and the estimated mass of the particle, the density of the particle can be calculated, as shown in Equation (9)

[0103]

[0104] Furthermore, by extracting multiple groups of collision signals that meet the conditions, multiple groups of information such as the mass, material, and size of the particles are estimated. The estimation results with larger errors are eliminated, and the average value of the remaining results with smaller errors is obtained to reduce the estimation error. According to the above discrimination conditions, the collision signals between two adjacent times during the non-charged motion process of the particle can be extracted, and then according to the calculation formula for the mass of the particle, the mass of the particle can be estimated. Since the collected particle collision signals are for a continuous period of time, there may be multiple groups of signals that meet the above signal extraction conditions, and multiple particle masses, geometric sizes, and densities and other parameters will be calculated. These particles are classified, and those with an error within 20% of each other are grouped together, and the average value of the above particle parameters of the particles is obtained, and the accurate estimation results of the particle mass, size, and density can be obtained.

[0105] In addition, the present invention also discloses a separation and extraction device for implementing the method for separating and extracting the multi-metal particle flying collision aliasing sound signal in the GIS, including

[0106] a voltage measurement device, which is connected to the GIS device to collect the voltage signal of the externally applied voltage;

[0107] a sound signal collection device, which is connected to the GIS housing to collect the sound signal generated by the collision,

[0108] a processor, which is connected to the voltage measurement device and the sound signal collection device. The processor obtains the mass of the metal particles based on the amplitude and time interval of at least one set of two adjacent first collision signals, and also obtains the amplitude and time interval of at least one set of two adjacent second collision signals based on the voltage signal and the sound signal to obtain the charge of the metal particles, and obtains the density and geometric size of the metal particles based on the charge and the geometric shape of the metal particles.

[0109] In a preferred embodiment of the separation and extraction device, the sound signal collection device includes an ultrasonic signal sensor.

[0110] In a preferred embodiment of the separation and extraction device, the processor is connected to an oscilloscope.

[0111] A computer-readable storage medium stores or executes the method for separating and extracting the multi-metal particle flying collision aliasing sound signal in the GIS.

[0112] Finally, it should be noted that: the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of protection of the present application.

[0113] Only some exemplary embodiments of the present invention have been described by way of illustration above. Undoubtedly, for those of ordinary skill in the art, the described embodiments can be modified in various different ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of the claims of the present invention.

Claims

1. A method for separating and extracting the overlapping sound signals of multi-metal particles flying and colliding in GIS, characterized in that, It includes the following steps: Apply a voltage externally to the GIS device, and collect the voltage signal of the externally applied voltage of the GIS device and the acoustic signals generated by the collisions of multiple metal particles with the GIS housing; Establish a first physical model of the non-charged motion process of the metal particles and a second physical model of the charged motion process of the metal particles, and obtain a first numerical relationship between adjacent two collision signals in the non-charged motion process and a second numerical relationship between adjacent two collision signals in the charged motion process; Extract a first collision signal when the voltage phase of the metal particles passes through zero and a second collision signal when the voltage phase does not pass through zero based on the voltage signal and the acoustic signal; According to the first numerical relationship, extract the next adjacent first collision signal of the metal particles based on the first collision signal, and according to the second numerical relationship, extract the next adjacent second collision signal of the metal particles based on the second collision signal; Obtain the mass of the metal particles based on the amplitudes and time intervals of at least one set of two adjacent first collision signals, obtain the charge amount of the metal particles based on the amplitudes and time intervals of at least one set of two adjacent second collision signals, and obtain the density and geometric size of the metal particles based on the charge amount and the geometric shape of the metal particles.

2. The method for separating and extracting the overlapping sound signals of multi-metal particles flying and colliding in GIS according to claim 1, characterized in that, Extract multiple sets of first collision signals and second collision signals, obtain multiple sets of masses, densities and geometric sizes of the metal particles, and take the average value of the masses, densities and geometric sizes with errors within a predetermined ratio as the final result.

3. The method for separating and extracting the overlapping sound signals of multi-metal particles flying and colliding in GIS according to claim 2, characterized in that, The predetermined ratio is 20%.

4. The method for separating and extracting the overlapping sound signals of multi-metal particles flying and colliding in GIS according to claim 1, characterized in that, Use an ultrasonic signal sensor to collect the acoustic signal and an oscilloscope to record the voltage signal.

5. The method for separating and extracting the overlapping sound signals of multi-metal particles flying and colliding in GIS according to claim 1, characterized in that, The first physical model includes metal particles in a projectile motion with a predetermined initial velocity, and a first numerical relationship between adjacent two collision signals in the non-charged motion process is established based on free projectile motion, which includes the numerical relationship between the amplitudes of the collision signals.

6. The method for separating and extracting the overlapping sound signals of multi-metal particles flying and colliding in GIS according to claim 1, characterized in that, In the first physical model, the mass of the metal particles is Among them, A i+1 is the next adjacent first collision signal, Δt is the time interval between two adjacent first collision signals during the non-charged movement of the particle, k s is the calibrated sensitivity coefficient of the acoustic signal sensor, and g is the acceleration due to gravity.

7. The method for separating and extracting the overlapping sound signals of multi-metal particles flying and colliding in GIS according to claim 1, characterized in that, The second physical model includes the action of electric field force and gravity.

8. The method for separating and extracting the overlapping sound signals of multi-metal particles flying and colliding in GIS according to claim 1, characterized in that, In the second physical model, the charge quantity q of the metal particle during the i-th charged motion process i is as follows: where m is the mass of the metal particle, Δv i is the velocity difference between two adjacent collisions during the charged motion process of the particle, Δt i is the corresponding time interval, E is the spatial electric field inside the GIS shell, and g is the acceleration due to gravity.

9. The method for separating and extracting the overlapping sound signals of multi-metal particles flying and colliding in GIS according to claim 8, characterized in that, The spatial electric field E in the GIS is obtained from the voltage signal.

10. The method for separating and extracting the overlapping sound signals of multi-metal particles flying and colliding in GIS according to claim 8, characterized in that, The GIS housing is a coaxial cylindrical structure, and the metal particles are spherical. The radius of the metal particles is q i is the charge carried by the metal particles after the i-th collision with the GIS housing. ε0 is the vacuum permittivity, and ε r is the relative permittivity of the SF6 gas, and E i is the field strength at the bottom of the GIS housing at the moment when the metal particles collide with the GIS housing.

11. A separation and extraction device for implementing the method for separating and extracting the overlapping sound signals of multi-metal particles flying and colliding in GIS according to any one of claims 1-10, characterized in that, It includes, A voltage measuring device, which is connected to the GIS device to collect the voltage signal of the externally applied voltage; An acoustic signal collecting device, which is connected to the GIS housing to collect the acoustic signals generated by the collisions, A processor, which is connected to the voltage measuring device and the acoustic signal collecting device. The processor obtains the mass of the metal particles based on the amplitudes and time intervals of at least one set of two adjacent first collision signals, and also obtains the amplitudes and time intervals of at least one set of two adjacent second collision signals based on the voltage signal and the acoustic signal, obtains the charge amount of the metal particles, and obtains the density and geometric size of the metal particles based on the charge amount and the geometric shape of the metal particles.

12. The separation and extraction device according to claim 11, characterized in that, The acoustic signal collecting device includes an ultrasonic signal sensor.

13. The separation and extraction device according to claim 11, characterized in that, The processor is connected to an oscilloscope.

14. A computer-readable storage medium, characterized in that, It stores or executes the method for separating and extracting the overlapping acoustic signals of multiple metal particles flying and colliding in the GIS as described in any one of claims 1-10.

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