A switch cabinet state evaluation method and device and computer equipment

Abstract

The application provides a switch cabinet state evaluation method and device and computer equipment, comprising: obtaining a partial discharge amplitude and a partial discharge amplitude change rate; comparing the partial discharge amplitude with a first attention value and a first warning value to obtain a first comparison result, the first attention value and the first warning value being calculated according to a first inverse cumulative distribution function and a defect rate and a failure rate of an actual operating switch cabinet on site; comparing the partial discharge amplitude change rate with a second attention value and a second warning value to obtain a second comparison result, the second attention value and the second warning value being calculated according to a second inverse cumulative distribution function and the defect rate and the failure rate of the actual operating switch cabinet on site; and obtaining a state evaluation result according to the first comparison result and the second comparison result. The application compares the partial discharge signal with the attention value and the warning value to obtain the evaluation result, thereby avoiding errors caused by expert experience on the switch cabinet state evaluation result.

Description

Technical Field

[0001] This invention relates to the field of switchgear technology, and more specifically to a switchgear status assessment method, apparatus, and computer equipment. Background Technology

[0002] High-voltage switchgear has the dual function of closing power lines and protecting system safety. It plays a very important role in the normal and reliable operation of power networks, especially distribution networks. Therefore, reducing the failure rate of high-voltage switchgear is of great significance for enhancing the reliability of power grid supply.

[0003] To reduce the failure rate of high-voltage switchgear, it is necessary to conduct accurate condition assessments of the switchgear and understand its actual operating status.

[0004] Currently, the condition assessment of switchgear requires subjective assignment of an evaluation level. Different expert experiences can affect the final evaluation results, and expert experience can bring great uncertainty to the condition assessment results of switchgear.

[0005] Therefore, how to address the uncertainty brought about by expert experience in the switchgear condition assessment has become a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides a method, apparatus, and computer device for evaluating the status of switchgear.

[0007] The first aspect of this invention provides a method for assessing the condition of a switchgear, comprising: acquiring a partial discharge amplitude and a partial discharge amplitude change rate; comparing the partial discharge amplitude with a first attention value and a first warning value to obtain a first comparison result, wherein the first attention value and the first warning value are calculated based on a first inverse cumulative distribution function of a Weibull distribution function and the defect rate and failure rate of the switchgear actually in operation on site, wherein the first inverse cumulative distribution function includes a first shape parameter and a first proportional parameter, wherein the first shape parameter and the first proportional parameter are calculated based on historical partial discharge amplitudes; comparing the partial discharge amplitude change rate with a second attention value and a second warning value to obtain a second comparison result, wherein the second attention value and the second warning value are calculated based on a second inverse cumulative distribution function of a Weibull distribution function and the defect rate and failure rate of the switchgear actually in operation on site, wherein the second inverse cumulative distribution function includes a second shape parameter and a second proportional parameter, wherein the second shape parameter and the second proportional parameter are calculated based on historical partial discharge amplitude change rates; and obtaining a condition assessment result based on the first comparison result and the second comparison result.

[0008] The beneficial effects are as follows: This invention compares the partial discharge amplitude with the first attention value and the first warning value to obtain a first comparison result, and compares the partial discharge amplitude change rate with the second attention value and the second warning value to obtain a second comparison result. Since the first attention value, the first warning value, the second attention value, and the second warning value are all calculated using the inverse cumulative distribution function of the Weibull distribution function and the defect rate and failure rate of the actual operating switchgear on site, it can be seen that the switchgear status assessment method provided by this invention utilizes a large amount of historical defect and failure data of switchgear, combined with mathematical statistical tools, to obtain the switchgear status assessment result. It does not require subjective evaluation of the evaluation level, thus avoiding the influence of expert experience on the switchgear status assessment result.

[0009] In conjunction with the first aspect, in the first embodiment of the first aspect, the step of constructing the first inverse cumulative distribution function of the Weibull distribution function includes: acquiring multiple historical partial discharge signals, the historical partial discharge signals including historical partial discharge amplitudes; calculating a first shape parameter and a first scaling parameter based on the partial discharge amplitudes using a maximum likelihood function; constructing a first Weibull distribution model based on the first shape parameter and the first scaling parameter; and determining the first inverse cumulative distribution function of the Weibull distribution function based on the first Weibull distribution model.

[0010] The beneficial effects are as follows: the first shape parameter and the first proportional parameter are calculated by the maximum likelihood function, which are the unknowns in the first Weibull distribution model. The first Weibull distribution model is constructed based on the first shape parameter and the first proportional parameter. The first inverse cumulative distribution function of the Weibull distribution function is determined based on the first Weibull distribution model. After obtaining the first inverse cumulative distribution function, it can be associated with the historical defects and fault data of the switchgear.

[0011] In conjunction with the first aspect, in the second embodiment of the first aspect, the step of constructing the second inverse cumulative distribution function of the Weibull distribution function includes: acquiring multiple historical partial discharge signals, the historical partial discharge signals including historical partial discharge amplitude change rates; calculating a second shape parameter and a second proportional parameter based on the partial discharge amplitude change rate using a maximum likelihood function; constructing a second Weibull distribution model based on the second shape parameter and the second proportional parameter; and determining the second inverse cumulative distribution function of the Weibull distribution function based on the second Weibull distribution model.

[0012] The beneficial effects are as follows: the second shape parameter and the second proportional parameter are calculated by the maximum likelihood function, which are the unknowns in the second Weibull distribution model. The second Weibull distribution model is constructed based on the second shape parameter and the second proportional parameter. The second inverse cumulative distribution function of the Weibull distribution function is determined based on the second Weibull distribution model. After obtaining the second inverse cumulative distribution function, it can be associated with the historical defects and fault data of the switchgear.

[0013] In conjunction with the first aspect, in the third embodiment of the first aspect, the first attention value and the first warning value are calculated based on the first inverse cumulative distribution function of the Weibull distribution function and the defect rate and failure rate of the actual operating switchgear on site, including:

[0014]

[0015] Where p represents the cumulative probability, q represents the value corresponding to the cumulative probability p, β1 is the first shape parameter, and η1 is the first proportional parameter;

[0016] When p = 1 - defect rate, the first attention value related to the defect rate is obtained;

[0017] When p = 1 - failure rate is set, the first warning value related to the failure rate is obtained.

[0018] The beneficial effects are as follows: the first inverse cumulative distribution function is obtained based on the Weibull distribution function, and then the value corresponding to the set value is obtained based on the set cumulative probability value. Thus, the Weibull distribution function is correlated with the defect rate and failure rate data of the actual operating switchgear on site, and attention values ​​and warning values ​​are obtained for evaluating the operating status of the switchgear.

[0019] In conjunction with the first aspect, in the fourth embodiment of the first aspect, obtaining a state assessment result based on a first comparison result and a second comparison result includes: if the first comparison result is that the partial discharge amplitude is less than a first attention value, and the second comparison result is that the partial discharge amplitude change rate is less than a second attention value, then the state assessment result is determined to be a first state.

[0020] In conjunction with the first aspect, in the fifth embodiment of the first aspect, obtaining a state assessment result based on a first comparison result and a second comparison result includes: if the first comparison result is that the partial discharge amplitude is less than a first attention value, and the second comparison result is that the rate of change of the partial discharge amplitude is greater than a second attention value, then the state assessment result is determined to be a second state; if the first comparison result is that the partial discharge amplitude is greater than the first attention value, and the second comparison result is that the rate of change of the partial discharge amplitude is less than the second attention value, then the state assessment result is determined to be a second state.

[0021] In conjunction with the first aspect, in the sixth embodiment of the first aspect, obtaining a state assessment result based on a first comparison result and a second comparison result includes: if the first comparison result is that the partial discharge amplitude is greater than a first warning value, and the second comparison result is that the rate of change of the partial discharge amplitude is less than a second attention value, then the state assessment result is determined to be a third state; if the first comparison result is that the partial discharge amplitude is less than the first attention value, and the second comparison result is that the rate of change of the partial discharge amplitude is greater than the second warning value, then the state assessment result is determined to be a third state; if the first comparison result is that the partial discharge amplitude is greater than the first attention value and less than the first warning value, and the second comparison result is that the rate of change of the partial discharge amplitude is greater than the second attention value and less than the second warning value, then the state assessment result is determined to be a third state.

[0022] In conjunction with the first aspect, in the seventh embodiment of the first aspect, obtaining a state assessment result based on a first comparison result and a second comparison result includes: if the first comparison result is that the partial discharge amplitude is greater than a first warning value, and the second comparison result is that the rate of change of the partial discharge amplitude is greater than a second attention value and less than the second warning value, then the state assessment result is determined to be a fourth state; if the first comparison result is that the partial discharge amplitude is greater than the first attention value and less than the first warning value, and the second comparison result is that the rate of change of the partial discharge amplitude is greater than the second warning value, then the state assessment result is determined to be a fourth state; if the first comparison result is that the partial discharge amplitude is greater than the first warning value, and the second comparison result is that the rate of change of the partial discharge amplitude is greater than the second warning value, then the state assessment result is determined to be a fourth state.

[0023] A second aspect of the present invention provides a switchgear condition assessment device, comprising: an acquisition module for acquiring partial discharge amplitude and partial discharge amplitude change rate; a first comparison module for comparing the partial discharge amplitude with a first attention value and a first warning value respectively to obtain a first comparison result, wherein the first attention value and the first warning value are calculated based on a first inverse cumulative distribution function of a Weibull distribution function and the defect rate and failure rate of the actual operating switchgear; the first inverse cumulative distribution function includes a first shape parameter and a first proportional parameter, wherein the first shape parameter and the first proportional parameter are calculated based on historical partial discharge amplitudes; a second comparison module for comparing the partial discharge amplitude change rate with a second attention value and a second warning value respectively to obtain a second comparison result; the second attention value and the second warning value are calculated based on a second inverse cumulative distribution function of a Weibull distribution function and the defect rate and failure rate of the actual operating switchgear; the second inverse cumulative distribution function includes a second shape parameter and a second proportional parameter, wherein the second shape parameter and the second proportional parameter are calculated based on historical partial discharge amplitude change rates; and a condition assessment result determination module for obtaining a condition assessment result based on the first comparison result and the second comparison result.

[0024] The beneficial effects are as follows: This invention compares the partial discharge amplitude with the first attention value and the first warning value to obtain a first comparison result, and compares the partial discharge amplitude change rate with the second attention value and the second warning value to obtain a second comparison result. Since the first attention value, the first warning value, the second attention value, and the second warning value are all calculated using the inverse cumulative distribution function of the Weibull distribution function and the defect rate and failure rate of the actual operating switchgear on site, it can be seen that the switchgear status assessment method provided by this invention utilizes a large amount of historical defect and failure data of switchgear, combined with mathematical statistical tools, to obtain the switchgear status assessment result. It does not require subjective evaluation of the evaluation level, thus avoiding the influence of expert experience on the switchgear status assessment result.

[0025] A third aspect of the present invention provides a computer device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to perform the switch cabinet status assessment method of any one of the first aspects and its optional embodiments. Attached Figure Description

[0026] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the accompanying drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention.

[0027] Figure 1 A flowchart of the switchgear status assessment method provided in an embodiment of the present invention is shown;

[0028] Figure 2 A schematic diagram of the switchgear status assessment strategy provided in an embodiment of the present invention is shown;

[0029] Figure 3 A schematic diagram of the switchgear status assessment device provided in an embodiment of the present invention is shown;

[0030] Figure 4 A schematic diagram of the hardware structure of a computer device provided in an embodiment of the present invention is shown. Detailed Implementation

[0031] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0032] In the description of this invention, it should be noted that the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0033] This invention provides a method for evaluating the status of switchgear, such as... Figure 1 As shown, it includes the following steps:

[0034] Step S001: Obtain the partial discharge amplitude and the rate of change of the partial discharge amplitude.

[0035] In one optional embodiment, for switch cabinets under laboratory or actual operating conditions, multiple partial discharge signals are acquired by ultra-high frequency sensors and high frequency current sensors. The partial discharge signals include the partial discharge amplitude and the rate of change of the partial discharge amplitude.

[0036] Step S002: Compare the partial discharge amplitude with the first attention value and the first warning value respectively to obtain the first comparison result. The first attention value and the first warning value are calculated based on the first inverse cumulative distribution function of the Weibull distribution function and the defect rate and failure rate of the actual operating switchgear on site. The first inverse cumulative distribution function includes a first shape parameter and a first proportional parameter. The first shape parameter and the first proportional parameter are calculated based on the historical partial discharge amplitude.

[0037] Step S003: Compare the partial discharge amplitude change rate with the second attention value and the second warning value respectively to obtain the second comparison result. The second attention value and the second warning value are calculated based on the second inverse cumulative distribution function of the Weibull distribution function and the defect rate and failure rate of the actual operating switchgear on site. The second inverse cumulative distribution function includes a second shape parameter and a second proportional parameter. The second shape parameter and the second proportional parameter are calculated based on the historical partial discharge amplitude change rate.

[0038] Step S004: Obtain the state assessment result based on the first comparison result and the second comparison result.

[0039] In this embodiment of the invention, the partial discharge amplitude is compared with a first attention value and a first warning value to obtain a first comparison result. The rate of change of the partial discharge amplitude is compared with a second attention value and a second warning value to obtain a second comparison result. Since the first attention value, the first warning value, the second attention value, and the second warning value are all calculated using the inverse cumulative distribution function of the Weibull distribution function and the defect rate and failure rate of the actual operating switchgear, it can be seen that the switchgear status assessment method provided by this embodiment of the invention utilizes a large amount of historical defect and failure data of switchgear, combined with mathematical statistical tools, to obtain the switchgear status assessment result. It does not require subjective assignment of evaluation level, thus avoiding the influence of expert experience on the switchgear status assessment result.

[0040] In an optional embodiment, the switchgear status assessment method provided by this invention includes the following step in constructing the first inverse cumulative distribution function of the Weibull distribution function:

[0041] First, acquire multiple historical partial discharge signals, including historical partial discharge amplitudes.

[0042] Secondly, based on the partial discharge amplitude, the first shape parameter and the first proportional parameter are calculated using the maximum likelihood function.

[0043] Next, a first Weibull distribution model is constructed based on the first shape parameter and the first scale parameter.

[0044] Finally, the first inverse cumulative distribution function of the Weibull distribution function is determined based on the first Weibull distribution model.

[0045] In an optional embodiment, the steps of calculating the first shape parameter and the first scale parameter include:

[0046] First, the partial discharge amplitude data are denoted as X = (x1, x2, ..., xn). Let θ be the model parameters to be estimated (β1, η1). According to the basic principle of maximum likelihood estimation, the first log-likelihood function is:

[0047]

[0048] Where θ is the model parameter (β1,η1) to be estimated, X is the partial discharge amplitude data, β1 is the first shape parameter, and η1 is the first scaling parameter.

[0049] Next, by differentiating the first log-likelihood function with respect to β1 and η1 respectively, and then setting it equal to 0, we obtain the first set of likelihood equations:

[0050]

[0051] Where θ is the model parameter (β1,η1) to be estimated, X is the partial discharge amplitude data, β1 is the first shape parameter, and η1 is the first scaling parameter.

[0052] Finally, the first log-likelihood function is substituted into the first likelihood equation system to obtain the first shape parameter and the first proportional parameter.

[0053] In an optional embodiment, the switchgear status assessment method provided by this invention includes the following step in constructing the second inverse cumulative distribution function of the Weibull distribution function:

[0054] First, acquire multiple historical partial discharge signals, including the rate of change of historical partial discharge amplitude.

[0055] Secondly, based on the rate of change of partial discharge amplitude, the second shape parameter and the second proportional parameter are calculated using the maximum likelihood function.

[0056] Next, a second Weibull distribution model is constructed based on the second shape parameter and the second scale parameter.

[0057] Finally, the second inverse cumulative distribution function of the Weibull distribution function is determined based on the second Weibull distribution model.

[0058] In an optional embodiment, the step of calculating the second shape parameter and the second scale parameter includes:

[0059] First, the partial discharge amplitude change rate data are listed as Y = (y1, y2, ..., yn). Let θ be the model parameters to be estimated (β2, η2). According to the basic principle of maximum likelihood function estimation, the second log-likelihood function is:

[0060]

[0061] Where θ is the model parameter to be estimated (β2,η2), Y is the partial discharge amplitude data, β2 is the second shape parameter, and η2 is the second scaling parameter.

[0062] Next, by differentiating the second log-likelihood function with respect to β² and η² respectively, and then setting it equal to 0, we obtain the second likelihood equation system:

[0063]

[0064] Where θ is the model parameter to be estimated (β2,η2), Y is the partial discharge amplitude change rate data, β2 is the second shape parameter, and η2 is the second proportional parameter.

[0065] Finally, the second log-likelihood function is substituted into the second likelihood equation system to obtain the second shape parameter and the second proportional parameter.

[0066] In an optional embodiment, the switchgear status assessment method provided by this invention calculates a first attention value and a first warning value based on the first inverse cumulative distribution function of the Weibull distribution function and the defect rate and failure rate of the actual operating switchgear on site, including:

[0067] q = F -1 (p|β1,η1)=-η1[ln(1-p)] 1 / β1 p∈[0,1]

[0068] Where p represents the cumulative probability, q represents the value corresponding to the cumulative probability p, β1 is the first shape parameter, and η1 is the first proportional parameter;

[0069] When p = 1 - defect rate, the first attention value related to the defect rate is obtained;

[0070] When p = 1 - failure rate is set, the first warning value related to the failure rate is obtained.

[0071] In one optional embodiment, the failure rate and defect rate are obtained by statistically analyzing the faults and defects existing in a large number of switchgear during actual operation.

[0072] In an optional embodiment, the Weibull distribution function can be expressed as:

[0073]

[0074] Where β is the shape parameter and η is the scaling parameter.

[0075] In an alternative embodiment, the cumulative distribution function is obtained by integrating the Weibull distribution function:

[0076]

[0077] Where β is the shape parameter and η is the scaling parameter.

[0078] In an optional embodiment, the inverse cumulative distribution function is obtained by inverting the cumulative distribution function:

[0079] q = F -1 (p|β,η)=-η[ln(1-p)] 1 / β p∈[0,1]

[0080] Where p represents the cumulative probability, q represents the value corresponding to the cumulative probability p, β is the shape parameter, and η is the scaling parameter.

[0081] In an optional embodiment, the switchgear status assessment method provided by this invention obtains a status assessment result based on a first comparison result and a second comparison result, including:

[0082] If the first comparison result is that the partial discharge amplitude is less than the first attention value, and the second comparison result is that the rate of change of the partial discharge amplitude is less than the second attention value, then the state assessment result is determined to be the first state.

[0083] If the first comparison result is that the partial discharge amplitude is less than the first attention value, and the second comparison result is that the rate of change of the partial discharge amplitude is greater than the second attention value, then the state assessment result is determined to be the second state.

[0084] If the first comparison result is that the partial discharge amplitude is greater than the first attention value, and the second comparison result is that the rate of change of the partial discharge amplitude is less than the second attention value, then the state assessment result is determined to be the second state.

[0085] If the first comparison result is that the partial discharge amplitude is greater than the first warning value, and the second comparison result is that the rate of change of the partial discharge amplitude is less than the second attention value, then the state assessment result is determined to be the third state.

[0086] If the first comparison result is that the partial discharge amplitude is less than the first attention value, and the second comparison result is that the rate of change of the partial discharge amplitude is greater than the second warning value, then the state assessment result is determined to be the third state.

[0087] If the first comparison result is that the partial discharge amplitude is greater than the first attention value and less than the first warning value, and the second comparison result is that the partial discharge amplitude change rate is greater than the second attention value and less than the second warning value, then the state assessment result is determined to be the third state.

[0088] If the first comparison result is that the partial discharge amplitude is greater than the first warning value, and the second comparison result is that the rate of change of the partial discharge amplitude is greater than the second attention value and less than the second warning value, then the state assessment result is determined to be the fourth state.

[0089] If the first comparison result is that the partial discharge amplitude is greater than the first attention value and less than the first warning value, and the second comparison result is that the rate of change of the partial discharge amplitude is greater than the second warning value, then the state assessment result is determined to be the fourth state.

[0090] If the first comparison result is that the partial discharge amplitude is greater than the first warning value, and the second comparison result is that the rate of change of the partial discharge amplitude is greater than the second warning value, then the state assessment result is determined to be the fourth state.

[0091] In an alternative embodiment, such as Figure 2 As shown, the X-axis represents the partial discharge amplitude, and the Y-axis represents the partial discharge amplitude change rate. The partial discharge amplitude and the partial discharge amplitude change rate of the switchgear are detected in real time. The detected partial discharge amplitude is compared with the first attention value and the first warning value, and the detected partial discharge amplitude change rate is compared with the second attention value and the second warning value to obtain the corresponding status assessment result.

[0092] In an alternative embodiment, such as Figure 2 As shown, the first state is "normal", the second state is "attention", the third state is "abnormal", and the fourth state is "serious".

[0093] In one optional embodiment, when the amplitude and rate of change of the partial discharge data monitored in real time by the switchgear are both lower than their respective warning values, the switchgear operation status is classified as "normal"; when only one of the amplitude and rate of change of the partial discharge data monitored in real time by the switchgear exceeds its warning value and the other is lower than its warning value, the switchgear operation status is classified as "warning"; when only one of the amplitude and rate of change of the partial discharge data monitored in real time by the switchgear is higher than its warning value and the other is lower than its warning value, or when both are higher than its warning value and lower than its warning value, the switchgear operation status is classified as "abnormal"; when only one of the amplitude and rate of change of the partial discharge data monitored in real time by the switchgear is higher than its warning value and the other is higher than its warning value, or when both are higher than its warning value, the switchgear operation status is classified as "serious".

[0094] This invention provides a switchgear status assessment device, such as... Figure 3 As shown, it includes the following modules:

[0095] The acquisition module 301 is used to acquire the partial discharge amplitude and the partial discharge amplitude change rate. For details, please refer to the description of step S001 in the above embodiment, which will not be repeated here.

[0096] The first comparison module 302 is used to compare the partial discharge amplitude with the first attention value and the first warning value respectively to obtain the first comparison result. The first attention value and the first warning value are calculated based on the first inverse cumulative distribution function of the Weibull distribution function and the defect rate and failure rate of the actual operating switchgear on site. The first inverse cumulative distribution function includes a first shape parameter and a first proportional parameter. The first shape parameter and the first proportional parameter are calculated based on the historical partial discharge amplitude. For details, please refer to the description of step S002 in the above embodiment, which will not be repeated here.

[0097] The second comparison module 303 is used to compare the partial discharge amplitude change rate with the second attention value and the second warning value respectively to obtain a second comparison result. The second attention value and the second warning value are calculated based on the second inverse cumulative distribution function of the Weibull distribution function and the defect rate and failure rate of the actual operating switchgear on site. The second inverse cumulative distribution function includes a second shape parameter and a second proportional parameter. The second shape parameter and the second proportional parameter are calculated based on the historical partial discharge amplitude change rate. For details, please refer to the description of step S003 in the above embodiment, which will not be repeated here.

[0098] The state assessment result determination module 304 is used to obtain the state assessment result based on the first comparison result and the second comparison result. For details, please refer to the description of step S004 in the above embodiment, which will not be repeated here.

[0099] In this embodiment of the invention, the partial discharge amplitude is compared with a first attention value and a first warning value to obtain a first comparison result. The rate of change of the partial discharge amplitude is compared with a second attention value and a second warning value to obtain a second comparison result. Since the first attention value, the first warning value, the second attention value, and the second warning value are all calculated using the inverse cumulative distribution function of the Weibull distribution function and the defect rate and failure rate of the actual operating switchgear, it can be seen that the switchgear status assessment method provided by this embodiment of the invention utilizes a large amount of historical defect and failure data of switchgear, combined with mathematical statistical tools, to obtain the switchgear status assessment result. It does not require subjective assignment of evaluation level, thus avoiding the influence of expert experience on the switchgear status assessment result.

[0100] This invention also provides a computer device, such as... Figure 4 This is a schematic diagram of the hardware structure of a computer device according to an exemplary embodiment.

[0101] like Figure 4 As shown, the device includes one or more processors 401 and a memory 402, the memory 402 including persistent memory, volatile memory, and a hard disk. Figure 4 Taking a processor 401 as an example, the device may also include an input device 403 and an output device 404.

[0102] The processor 401, memory 402, input device 403, and output device 404 can be connected via a bus or other means. Figure 4 Taking the example of a connection between China and Israel via a bus.

[0103] Processor 401 can be a Central Processing Unit (CPU). Processor 401 can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations thereof. The general-purpose processor can be a microprocessor or any conventional processor.

[0104] The memory 402, as a non-transitory computer-readable storage medium, includes persistent memory, volatile memory, and a hard disk. It can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instruction module corresponding to the business management method in this embodiment. The processor 401 executes various server functions and data processing by running the non-transitory software programs, instructions, and modules stored in the memory 402, thereby implementing any of the above-mentioned switch cabinet status assessment methods.

[0105] Memory 402 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data that is needed and required. Furthermore, memory 402 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory 402 may optionally include memory remotely located relative to processor 401, and these remote memories can be connected to the data processing device via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0106] Input device 403 can receive input numerical or character information, and generate key signal inputs related to user settings and function control. Output device 404 may include display devices such as a display screen.

[0107] One or more modules are stored in memory 402, and when executed by one or more processors 401, they perform actions such as... Figure 1 The method shown.

[0108] The above-described product can execute the method provided in the embodiments of the present invention, and has the corresponding functional modules and beneficial effects for executing the method. Technical details not described in detail in this embodiment can be found in [reference 1]. Figure 1 The relevant descriptions in the illustrated embodiments.

[0109] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A method for assessing the condition of a switchgear, characterized in that, include: Obtain the partial discharge amplitude and the rate of change of the partial discharge amplitude; The partial discharge amplitude is compared with the first attention value and the first warning value to obtain a first comparison result. The first attention value and the first warning value are calculated based on the first inverse cumulative distribution function of the Weibull distribution function and the defect rate and failure rate of the actual operating switchgear on site. The first inverse cumulative distribution function includes a first shape parameter and a first proportional parameter, which are calculated based on historical partial discharge amplitudes. The partial discharge amplitude change rate is compared with the second attention value and the second warning value to obtain a second comparison result; the second attention value and the second warning value are calculated based on the second inverse cumulative distribution function of the Weibull distribution function and the defect rate and failure rate of the actual operating switchgear on site; the second inverse cumulative distribution function includes a second shape parameter and a second proportional parameter, which are calculated based on the historical partial discharge amplitude change rate; The state assessment result is obtained based on the first comparison result and the second comparison result; The calculation of the first attention value and the first warning value based on the first inverse cumulative distribution function of the Weibull distribution function and the defect rate and failure rate of the actual operating switchgear on site includes: p Where p represents the cumulative probability, and q represents the value corresponding to the cumulative probability p. η1 is the first shape parameter, and η2 is the first proportional parameter; When p = 1 - defect rate, the first attention value related to the defect rate is obtained; When p = 1 - failure rate is set, the first warning value related to the failure rate is obtained.

2. The switchgear status assessment method according to claim 1, characterized in that, The steps to construct the first inverse cumulative distribution function of the Weibull distribution function include: Acquire multiple historical partial discharge signals, wherein the historical partial discharge signals include historical partial discharge amplitudes; Based on the partial discharge amplitude, the first shape parameter and the first scaling parameter are calculated using the maximum likelihood function; A first Weibull distribution model is constructed based on the first shape parameter and the first scale parameter. The first inverse cumulative distribution function of the Weibull distribution function is determined based on the first Weibull distribution model.

3. The switchgear status assessment method according to claim 1, characterized in that, The steps to construct the second inverse cumulative distribution function of the Weibull distribution function include: Acquire multiple historical partial discharge signals, wherein the historical partial discharge signals include the rate of change of historical partial discharge amplitude; Based on the rate of change of the partial discharge amplitude, the second shape parameter and the second proportional parameter are calculated using the maximum likelihood function; A second Weibull distribution model is constructed based on the second shape parameter and the second scaling parameter; The second inverse cumulative distribution function of the Weibull distribution function is determined based on the second Weibull distribution model.

4. The switchgear status assessment method according to claim 1, characterized in that, The step of obtaining the state assessment result based on the first comparison result and the second comparison result includes: If the first comparison result is that the partial discharge amplitude is less than the first attention value, and the second comparison result is that the partial discharge amplitude change rate is less than the second attention value, then the state assessment result is determined to be the first state.

5. The switchgear status assessment method according to claim 1, characterized in that, The step of obtaining the state assessment result based on the first comparison result and the second comparison result includes: If the first comparison result is that the partial discharge amplitude is less than the first attention value, and the second comparison result is that the partial discharge amplitude change rate is greater than the second attention value, then the state assessment result is determined to be the second state; If the first comparison result is that the partial discharge amplitude is greater than the first attention value, and the second comparison result is that the partial discharge amplitude change rate is less than the second attention value, then the state assessment result is determined to be the second state.

6. The switchgear status assessment method according to claim 1, characterized in that, The step of obtaining the state assessment result based on the first comparison result and the second comparison result includes: If the first comparison result is that the partial discharge amplitude is greater than the first warning value, and the second comparison result is that the partial discharge amplitude change rate is less than the second attention value, then the state assessment result is determined to be the third state; If the first comparison result is that the partial discharge amplitude is less than the first attention value, and the second comparison result is that the partial discharge amplitude change rate is greater than the second warning value, then the state assessment result is determined to be the third state; If the first comparison result is that the partial discharge amplitude is greater than the first attention value and less than the first warning value, and the second comparison result is that the partial discharge amplitude change rate is greater than the second attention value and less than the second warning value, then the state assessment result is determined to be the third state.

7. The switchgear condition assessment method according to claim 1, characterized in that, The step of obtaining the state assessment result based on the first comparison result and the second comparison result includes: If the first comparison result is that the partial discharge amplitude is greater than the first warning value, and the second comparison result is that the partial discharge amplitude change rate is greater than the second attention value and less than the second warning value, then the state assessment result is determined to be the fourth state. If the first comparison result is that the partial discharge amplitude is greater than the first attention value and less than the first warning value, and the second comparison result is that the partial discharge amplitude change rate is greater than the second warning value, then the state assessment result is determined to be the fourth state; If the first comparison result is that the partial discharge amplitude is greater than the first warning value, and the second comparison result is that the partial discharge amplitude change rate is greater than the second warning value, then the state assessment result is determined to be the fourth state.

8. A switchgear condition assessment device, characterized in that, include: The acquisition module is used to acquire the partial discharge amplitude and the rate of change of the partial discharge amplitude; The first comparison module is used to compare the partial discharge amplitude with the first attention value and the first warning value to obtain a first comparison result. The first attention value and the first warning value are calculated based on the first inverse cumulative distribution function of the Weibull distribution function and the defect rate and failure rate of the actual operating switchgear on site. The first inverse cumulative distribution function includes a first shape parameter and a first proportional parameter, which are calculated based on historical partial discharge amplitudes. The second comparison module is used to compare the partial discharge amplitude change rate with the second attention value and the second warning value to obtain a second comparison result; the second attention value and the second warning value are calculated based on the second inverse cumulative distribution function of the Weibull distribution function and the defect rate and failure rate of the actual operating switchgear on site; the second inverse cumulative distribution function includes a second shape parameter and a second proportional parameter, and the second shape parameter and the second proportional parameter are calculated based on the historical partial discharge amplitude change rate; A state assessment result determination module is used to obtain a state assessment result based on the first comparison result and the second comparison result; The calculation of the first attention value and the first warning value based on the first inverse cumulative distribution function of the Weibull distribution function and the defect rate and failure rate of the actual operating switchgear on site includes: p Where p represents the cumulative probability, and q represents the value corresponding to the cumulative probability p. η1 is the first shape parameter, and η2 is the first proportional parameter; When p = 1 - defect rate, the first attention value related to the defect rate is obtained; When p = 1 - failure rate is set, the first warning value related to the failure rate is obtained.

9. A computer device, characterized in that, include: At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to perform the switch cabinet status assessment method as described in any one of claims 1-7.

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