CN115829543B - Method for determining validity of preventive test of power equipment based on fault detection interval - Google Patents
Method for determining validity of preventive test of power equipment based on fault detection interval Download PDFInfo
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- CN115829543B CN115829543B CN202211480777.3A CN202211480777A CN115829543B CN 115829543 B CN115829543 B CN 115829543B CN 202211480777 A CN202211480777 A CN 202211480777A CN 115829543 B CN115829543 B CN 115829543B
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The application relates to a method for determining validity of a preventive test of power equipment based on a fault detection zone. The method comprises the following steps: acquiring power equipment operation parameters corresponding to all power equipment of the same type in a power system; obtaining a power equipment loss distribution function corresponding to any one power equipment according to the operation time of the power equipment and the retirement time of the power equipment; determining a fault detection time interval corresponding to the power equipment according to the power equipment description information; obtaining a preventive test period corresponding to the power equipment according to the operation characteristic data and the preventive test standard data of the power equipment; inputting the time interval for fault detection and the preventive test period into a loss distribution function of the power equipment to obtain preventive test fault information corresponding to the power equipment; the probability of failure in the preventive test characterizes the probability of failure in a preset time period. By adopting the method, the accuracy of the result obtained by the preventive test of the power equipment can be improved.
Description
Technical Field
The application relates to the technical field of power safety, in particular to a method, a device, computer equipment, a storage medium and a computer program product for determining validity of a preventive test of power equipment based on a fault detection zone.
Background
With the development of electric power safety technology, an electric power equipment operation and maintenance technology appears, and the core of application of the technology is a preventive test, so as to find hidden danger of equipment in operation, prevent accidents or equipment damage, and inspect, test or monitor the equipment. As an important component of the management work of the electric power equipment, it is aimed to check whether the electric power equipment is kept in a good state during the long-term operation, grasp the condition of the electric power equipment, and find out the latent fault of the electric power equipment. At present, a periodic preventive test is an important means for finding fault hidden dangers in advance and improving the reliability of power supply.
The period of the preventive test has a great influence on whether the hidden trouble of the fault can be found or not, and the hidden trouble of the fault can be found in advance to determine the effectiveness of the preventive test. However, the conventional method for processing the validity of the preventive test of the electric power equipment collects the intrinsic parameters of each equipment in the electric power system, and calculates the intrinsic parameters and the corresponding mathematical model, however, each parameter in the electric power equipment is a fixed value of the departure time, for example: the resistance, however, changes during operation due to aging of the equipment, resulting in low accuracy of the results obtained from the preventive test.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method, an apparatus, a computer device, a computer-readable storage medium, and a computer program product for determining the validity of a preventive test of an electrical device based on a fault interval, which can improve the accuracy of the results obtained in the preventive test.
In a first aspect, the application provides a method for determining validity of a preventive test of an electrical device based on a fault detection zone. The method comprises the following steps: acquiring power equipment operation parameters corresponding to all power equipment of the same type in a power system; the power equipment operation parameters comprise power equipment operation time, power equipment retirement time, power equipment description information, power equipment operation characteristic data and preventive test standard data; obtaining a power equipment loss distribution function corresponding to any one of the power equipment according to the operation time of the power equipment and the retirement time of the power equipment; determining a fault detection time interval corresponding to the power equipment according to the power equipment description information; the power equipment description information is obtained by integrating power equipment manufacturing description information and power equipment operation description information which correspond to the power equipment respectively; obtaining a preventive test period corresponding to the power equipment according to the power equipment operation characteristic data and the preventive test standard data; inputting the fault detection time interval and the preventive test period into the power equipment loss distribution function to obtain preventive test fault information corresponding to the power equipment; the preventive test fault probability represents the probability of fault occurrence of the power equipment in a preset time period after the current moment under the condition of normal operation.
In a second aspect, the application further provides a device for determining the validity of the preventive test of the power equipment based on the fault detection zone. The device comprises: the electric equipment operation parameter acquisition module is used for acquiring the operation parameters of the electric equipment corresponding to the electric equipment of the same type in the electric power system; the power equipment operation parameters comprise power equipment operation time, power equipment retirement time, power equipment description information, power equipment operation characteristic data and preventive test standard data; the power equipment loss distribution function obtaining module is used for obtaining any power equipment loss distribution function corresponding to the power equipment according to the operation time of the power equipment and the retirement time of the power equipment; the fault detection time interval determining module is used for determining a fault detection time interval corresponding to the power equipment according to the power equipment description information; the power equipment description information is obtained by integrating power equipment manufacturing description information and power equipment operation description information which correspond to the power equipment respectively; the preventive test period obtaining module is used for obtaining a preventive test period corresponding to the power equipment according to the power equipment operation characteristic data and the preventive test standard data; the preventive test fault information obtaining module is used for inputting the time interval for fault detection and the preventive test period into the power equipment loss distribution function to obtain preventive test fault information corresponding to the power equipment; the preventive test fault probability represents the probability of fault occurrence of the power equipment in a preset time period after the current moment under the condition of normal operation.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of: acquiring power equipment operation parameters corresponding to all power equipment of the same type in a power system; the power equipment operation parameters comprise power equipment operation time, power equipment retirement time, power equipment description information, power equipment operation characteristic data and preventive test standard data; obtaining a power equipment loss distribution function corresponding to any one of the power equipment according to the operation time of the power equipment and the retirement time of the power equipment; determining a fault detection time interval corresponding to the power equipment according to the power equipment description information; the power equipment description information is obtained by integrating power equipment manufacturing description information and power equipment operation description information which correspond to the power equipment respectively; obtaining a preventive test period corresponding to the power equipment according to the power equipment operation characteristic data and the preventive test standard data; inputting the fault detection time interval and the preventive test period into the power equipment loss distribution function to obtain preventive test fault information corresponding to the power equipment; the preventive test fault probability represents the probability of fault occurrence of the power equipment in a preset time period after the current moment under the condition of normal operation.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of: acquiring power equipment operation parameters corresponding to all power equipment of the same type in a power system; the power equipment operation parameters comprise power equipment operation time, power equipment retirement time, power equipment description information, power equipment operation characteristic data and preventive test standard data; obtaining a power equipment loss distribution function corresponding to any one of the power equipment according to the operation time of the power equipment and the retirement time of the power equipment; determining a fault detection time interval corresponding to the power equipment according to the power equipment description information; the power equipment description information is obtained by integrating power equipment manufacturing description information and power equipment operation description information which correspond to the power equipment respectively; obtaining a preventive test period corresponding to the power equipment according to the power equipment operation characteristic data and the preventive test standard data; inputting the fault detection time interval and the preventive test period into the power equipment loss distribution function to obtain preventive test fault information corresponding to the power equipment; the preventive test fault probability represents the probability of fault occurrence of the power equipment in a preset time period after the current moment under the condition of normal operation.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of: acquiring power equipment operation parameters corresponding to all power equipment of the same type in a power system; the power equipment operation parameters comprise power equipment operation time, power equipment retirement time, power equipment description information, power equipment operation characteristic data and preventive test standard data; obtaining a power equipment loss distribution function corresponding to any one of the power equipment according to the operation time of the power equipment and the retirement time of the power equipment; determining a fault detection time interval corresponding to the power equipment according to the power equipment description information; the power equipment description information is obtained by integrating power equipment manufacturing description information and power equipment operation description information which correspond to the power equipment respectively; obtaining a preventive test period corresponding to the power equipment according to the power equipment operation characteristic data and the preventive test standard data; inputting the fault detection time interval and the preventive test period into the power equipment loss distribution function to obtain preventive test fault information corresponding to the power equipment; the preventive test fault probability represents the probability of fault occurrence of the power equipment in a preset time period after the current moment under the condition of normal operation.
The method, the device, the computer equipment, the storage medium and the computer program product for determining the validity of the preventive test of the power equipment based on the fault detection interval are realized by acquiring the operation parameters of the power equipment corresponding to each power equipment of the same type in the power system; the power equipment operation parameters comprise power equipment operation time, power equipment retirement time, power equipment description information, power equipment operation characteristic data and preventive test standard data; obtaining a power equipment loss distribution function corresponding to any one power equipment according to the operation time of the power equipment and the retirement time of the power equipment; determining a fault detection time interval corresponding to the power equipment according to the power equipment description information; the power equipment description information is obtained by integrating power equipment manufacturing description information and power equipment operation description information which are respectively corresponding to the power equipment; obtaining a preventive test period corresponding to the power equipment according to the operation characteristic data and the preventive test standard data of the power equipment; inputting the time interval for fault detection and the preventive test period into a loss distribution function of the power equipment to obtain preventive test fault information corresponding to the power equipment; the probability of the preventive test fault represents the probability of the fault of the power equipment in a preset time period after the current moment under the condition of normal operation.
The probability of finding the hidden trouble of the preventive test in advance is determined by constructing a power equipment loss distribution function corresponding to the service life of the power equipment and the period of the preventive test, the probability of the hidden trouble of the preventive test is used for analyzing the effectiveness of the preventive test, the operation, maintenance and overhaul work arrangement of the power equipment is further guided, the detection work arrangement of the preventive test is adjusted, and the accuracy of the result obtained by the preventive test of the power equipment is improved.
Drawings
FIG. 1 is an application environment diagram of a method for determining validity of a preventive test of an electrical device based on a fault interval in one embodiment;
FIG. 2 is a flow chart of a method for determining validity of a preventive test of an electrical device based on a fault interval in one embodiment;
FIG. 3 is a flow chart of a method for determining a time interval for failure detection in one embodiment;
FIG. 4 is a flow chart of a method for obtaining preventive test fault information in one embodiment;
FIG. 5 is a flow chart of a first sub-preventive test failure probability obtaining method in one embodiment;
FIG. 6 is a flow chart of a method of deriving a probability of failure for a second sub-preventive test in one embodiment;
FIG. 7 is a flow chart of a method of constructing a power device loss distribution function in one embodiment;
FIG. 8 is a schematic diagram of parameter settings in a method for determining validity of a preventive test of an electrical device based on a fault interval in one embodiment;
FIG. 9 is a block diagram of an apparatus for determining validity of a preventive test of an electrical device based on a section to be inspected for faults in one embodiment;
fig. 10 is an internal structural view of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The method for determining the validity of the preventive test of the power equipment based on the fault detection zone provided by the embodiment of the application can be applied to an application environment shown in figure 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The server 104 obtains power equipment operation parameters corresponding to the power equipment of the same type in the power system from the terminal 102; the power equipment operation parameters comprise power equipment operation time, power equipment retirement time, power equipment description information, power equipment operation characteristic data and preventive test standard data; obtaining a power equipment loss distribution function corresponding to any one power equipment according to the operation time of the power equipment and the retirement time of the power equipment; determining a fault detection time interval corresponding to the power equipment according to the power equipment description information; the power equipment description information is obtained by integrating power equipment manufacturing description information and power equipment operation description information which are respectively corresponding to the power equipment; obtaining a preventive test period corresponding to the power equipment according to the operation characteristic data and the preventive test standard data of the power equipment; inputting the time interval for fault detection and the preventive test period into a loss distribution function of the power equipment to obtain preventive test fault information corresponding to the power equipment; the probability of the preventive test fault represents the probability of the fault of the power equipment in a preset time period after the current moment under the condition of normal operation. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.
In one embodiment, as shown in fig. 2, there is provided a method for determining validity of a preventive test of an electrical device based on a section to be inspected for a fault, which is described by taking an example that the method is applied to a server in fig. 1, and includes the following steps:
step 202, acquiring operation parameters of the electric power equipment corresponding to the electric power equipment of the same type in the electric power system.
The power device may be various elements that maintain the normal operation of the power system, for example: generators, transmission towers, transformers, transmission lines, etc.
The operation parameters of the electric equipment can be messages generated in the operation process of the electric equipment and inherent parameters of the electric equipment.
Specifically, the server responds to an instruction of the terminal, acquires power equipment operation parameters corresponding to each power equipment from the terminal, and stores the acquired power equipment operation parameters in the storage unit, wherein the power equipment operation parameters comprise power equipment operation time, power equipment retirement time, power equipment description information, power equipment operation characteristic data and preventive test standard data. When the server needs to process any data record in the operation parameters of the power equipment, the data record is called from the storage unit to the volatile storage resource for the CPU to calculate. Any data record may be a single data input to the central processing unit, or may be a plurality of data input to the central processing unit at the same time.
For example, the server 104 responds to the instruction of the terminal 102, acquires the operation parameters of the power devices corresponding to the power devices from the terminal 102, and stores the operation parameters in the storage unit of the server 104, wherein 10 pieces of data acquired by the server 104 are recorded, and a plurality of pieces of data can be simultaneously input to the central processing unit.
And 204, obtaining a power equipment loss distribution function corresponding to any one power equipment according to the operation time of the power equipment and the retirement time of the power equipment.
The operation time of the power equipment may be time corresponding to that each power equipment in the power system is respectively put into normal operation.
The retirement time of the power equipment may be a time corresponding to the transition of each power equipment in the power system from normal operation to scrapping.
The power equipment loss distribution function may be a distribution function obtained by adding parameters related to power to two-parameter weibull distribution according to service requirements.
Specifically, the operation time of each power equipment and the retirement time of each power equipment in any type in a power grid system are counted, and the operation time of the power equipment is subtracted from the retirement time of the power equipment aiming at any one power equipment to obtain each power equipment The service lives of the corresponding power equipment are arranged to obtain a service life sequence t of the power equipment of the equipment corresponding to each power equipment i Sequence the life of power equipment t i Sequencing from small to large, and calculating the bit rank sequence F (t) i ) The expression is:
where i represents what number of data and n represents how much data is together, for example: 43 failure time points, i.e. n=43. Calculating intermediate variable x from median rank sequence i And y i The expression is:
x i ＝ln(t i )，
according to the intermediate variable x i And y i Sequence calculation x of (2) i And y i Average value of (2)And->Second order center moment l xx 、l yy 、l xy And calculate +.>And->The expressions are respectively:
according toAnd->Parameter estimation is carried out on parameters m and eta in the Weibull distribution expression, wherein the equation sets are respectively as follows:
according toAnd->And after parameter estimation is carried out on the parameters m and eta, substituting the parameters into the Weibull distribution expression, and obtaining a power equipment loss distribution function corresponding to any one power equipment.
And 206, determining a fault detection time interval corresponding to the power equipment according to the power equipment description information.
The power equipment description information may be an evaluation result obtained after the power equipment is evaluated.
The fault detection time interval may be a time interval during which a fault of the power device may be detected.
Specifically, a plurality of experts are respectively extracted from a manufacturing plant and a power system of the power equipment to form an expert group, each expert in the expert group is respectively and independently evaluated to obtain power equipment description information (namely an evaluation result of the power equipment), the service life of the power equipment is taken as the maximum value of a fault detection time interval, a fault detection threshold constant is determined according to the power equipment description information, an arithmetic average p of the fault detection threshold time is calculated according to the fault detection threshold constant, the minimum value of the fault detection time interval is determined based on the arithmetic average of the fault detection threshold time, and the fault detection time interval [ pt, t ] corresponding to the power equipment can be obtained. The power equipment description information is obtained through integration of power equipment manufacturing description information and power equipment operation description information which correspond to the power equipment respectively.
And step 208, obtaining a preventive test period corresponding to the power equipment according to the power equipment operation characteristic data and the preventive test standard data.
The power equipment operation characteristic data may be data which is specific to the power equipment of the same type and can represent the characteristics of the power equipment of the type during the operation of the power equipment of the same type.
The preventive test standard data may be test standard data set according to different types of power equipment for performing a preventive test.
The preventive test period may be a period corresponding to a test in which the electric power equipment is inspected, tested, or monitored to prevent accidents or equipment damage.
Specifically, according to different types of power equipment, acquiring power equipment operation characteristic data corresponding to the type of power equipment from a message generated in the operation process of the power equipment, wherein the acquired power equipment operation characteristic data can be subjected to characteristic extraction by adopting an artificial intelligent model and then classified by using a classification function; the preventive test period corresponding to the power equipment can be obtained by combining the preventive test procedure of the national standard DL/T596-2021, namely the preventive test standard data, wherein the value of the preventive test period cannot be larger than the maximum value in the time interval required to be detected by faults.
And 210, inputting the time interval for fault detection and the preventive test period into a loss distribution function of the power equipment to obtain preventive test fault information corresponding to the power equipment.
The preventive test fault information may be a probability of a fault occurring in a preset time period after a current time under a normal operation condition of the power equipment.
Specifically, the first step: calculating an arithmetic mean p of the fault detection threshold time through a fault detection threshold constant, and establishing a preventive test frequency standard value corresponding to the power equipment by using the arithmetic mean p of the fault detection threshold time, wherein the established preventive test frequency standard value has the expression: p/(1-p).
And a second step of: if the number of preventive tests k that the power equipment has completed is smaller than the preventive test number standard value P/(1-P), that is, if only 1 time of the preventive tests is in the fault-requiring time zone, one of the combined parts P of the preventive-test fault information (probability of the preventive tests finding the fault in advance) is obtained by inputting the fault-requiring time zone and the preventive-test period into the power-equipment loss distribution function 1 The expression is:
P 1 ＝W(kT/p)-W(kT)
and a third step of: if the number of preventive tests k that the power equipment has completed is greater than the preventive test number standard value P/(1-P), that is, if there are 2 or more preventive tests for a time period of time between failure needs to be checked, the maximum integer value (preventive test number maximum value) smaller than P/(1-P) is represented as M, and the preventive test number maximum integer value and the preventive test period are input to the power equipment loss distribution function, one of the combined parts P of the preventive test failure information (probability of preventive test finding failure in advance) is obtained 2 The expression is:
P 2 ＝1-W[(M+1)T]
fourth step: and adding the first sub-preventive test fault probability and the second sub-preventive test fault probability to obtain preventive test fault information P corresponding to the power equipment, namely the probability of faults of the power equipment in a preset time period after the current moment under the condition of normal operation.
In the method for determining the validity of the preventive test of the electric equipment based on the fault detection interval, the operation parameters of the electric equipment corresponding to the electric equipment of the same type in the electric power system are obtained; the power equipment operation parameters comprise power equipment operation time, power equipment retirement time, power equipment description information, power equipment operation characteristic data and preventive test standard data; obtaining a power equipment loss distribution function corresponding to any one power equipment according to the operation time of the power equipment and the retirement time of the power equipment; determining a fault detection time interval corresponding to the power equipment according to the power equipment description information; the power equipment description information is obtained by integrating power equipment manufacturing description information and power equipment operation description information which are respectively corresponding to the power equipment; obtaining a preventive test period corresponding to the power equipment according to the operation characteristic data and the preventive test standard data of the power equipment; inputting the time interval for fault detection and the preventive test period into a loss distribution function of the power equipment to obtain preventive test fault information corresponding to the power equipment; the probability of the preventive test fault represents the probability of the fault of the power equipment in a preset time period after the current moment under the condition of normal operation.
The probability of finding the hidden trouble of the preventive test in advance is determined by constructing a power equipment loss distribution function corresponding to the service life of the power equipment and the period of the preventive test, the probability of the hidden trouble of the preventive test is used for analyzing the effectiveness of the preventive test, the operation, maintenance and overhaul work arrangement of the power equipment is further guided, the detection work arrangement of the preventive test is adjusted, and the accuracy of the result obtained by the preventive test of the power equipment is improved.
In one embodiment, as shown in fig. 3, determining, according to at least one power device description information, a fault detection time interval corresponding to the power device includes:
step 302, determining a fault detection threshold constant corresponding to the power equipment according to the power equipment manufacturing description information and the power equipment operation description information corresponding to the power equipment respectively.
The power equipment manufacturing description information may be an evaluation result obtained after an expert dispatched by a manufacturer of the power equipment evaluates the power equipment.
The power equipment operation description information may be an evaluation result obtained after an expert dispatched by a power equipment use enterprise evaluates the power equipment.
The failure detection threshold constant may be a threshold value corresponding to failure detection, and is generally expressed as a constant, and the failure detection threshold constant can be obtained by integrating different evaluation results.
Specifically, a plurality of experts are respectively extracted from a power plant and a power system of the power equipment to become an expert group, and each expert in the expert group is respectively and independently evaluated. The method comprises the steps of obtaining an evaluation result obtained by evaluating an expert from a manufacturing plant of the power equipment, obtaining power equipment manufacturing description information, obtaining an evaluation result obtained by evaluating an expert from a power system, obtaining power equipment operation description information by using the evaluation result obtained by evaluating the expert from the manufacturing plant of the power equipment, and inputting the power equipment manufacturing description information and the power equipment operation description information into a power equipment fault detection threshold generation model, so as to obtain a power equipment corresponding fault detection threshold constant, wherein the power equipment fault detection threshold generation model is a mathematical statistical model designed according to the same type of power equipment.
And step 304, subtracting the operation time of the power equipment from the retired time of the power equipment to obtain the service life time of the power equipment corresponding to the power equipment.
The service life time of the power equipment can be a period corresponding to normal operation of the power equipment.
Specifically, for any one power device, subtracting the power device retirement time corresponding to the device from the power device operation time to obtain a time difference, namely the service life time of the power device corresponding to the power device. For example: the retirement time of the power equipment is 2025, 12, 31, and the commissioning time of the power equipment is 2000, 11, 1, and the service life of the power equipment is 15, 2.
And step 306, determining a fault detection time interval corresponding to the power equipment according to the fault detection threshold constant and the life time of the power equipment.
Specifically, the life time of the power equipment is taken as the maximum value of the fault detection time interval, the arithmetic mean p of the fault detection threshold time is calculated through the fault detection threshold constant, the minimum value of the fault detection time interval is determined based on the arithmetic mean of the fault detection threshold time, and the fault detection time interval [ pt, t ] corresponding to the power equipment can be obtained.
In this embodiment, by further determining the fault detection threshold constant and the time interval for the fault to be detected corresponding to the power equipment after the life time of the power equipment, the time interval for the preventive test to be run can be limited, the unnecessary time for executing the preventive test is reduced, and the efficiency of searching the future fault probability corresponding to the power equipment is improved.
In one embodiment, as shown in fig. 4, the fault detection time interval and the preventive test period are input to a loss distribution function of the power equipment to obtain preventive test fault information corresponding to the power equipment, where the steps include:
and step 402, determining a preventive test frequency standard value corresponding to the power equipment according to the fault detection threshold constant.
The standard value of the number of preventive tests may be the number of times that the time for the preventive test is within the time interval for failure detection.
Specifically, calculating an arithmetic mean p of the fault detection threshold time through a fault detection threshold constant, and establishing a preventive test frequency standard value corresponding to the power equipment by using the arithmetic mean p of the fault detection threshold time, wherein the established preventive test frequency standard value has the expression: p/(1-p).
And step 404, when the preventive test times of the power equipment are smaller than the preventive test times standard value, inputting the time interval for fault detection and the preventive test period into the loss distribution function of the power equipment to obtain a first sub-preventive test fault probability corresponding to the power equipment.
The number of preventive tests may be a number corresponding to the number of preventive tests performed by the electric power equipment.
Wherein the first sub-preventive test failure probability may be one of the combined parts (k < p/(1-p)) constituting the preventive test failure information (probability that the preventive test finds a failure in advance).
Specifically, if the number of preventive tests k that the power equipment has completed is smaller than the preventive test number standard value P/(1-P), that is, only 1 preventive test time is in the fault-requiring time zone, one of the combined parts P of the preventive test fault information (probability of preventive test finding a fault in advance) is obtained by inputting the fault-requiring time zone and the preventive test period to the power equipment loss distribution function 1 The expression is:
P 1 ＝W(kT/p)-W(kT)
and step 406, inputting the preventive test period into the loss distribution function of the power equipment to obtain the fault probability of the second sub-preventive test corresponding to the power equipment when the preventive test times of the power equipment are larger than the standard value of the preventive test times.
Wherein the second sub-preventive test failure probability may be one of the combined parts (k > p/(1-p)) constituting the preventive test failure information (probability of the preventive test finding failure in advance).
Specifically, if the number of preventive tests k that the power equipment has completed is greater than the preventive test number standard value P/(1-P), that is, if there are 2 or more preventive tests for a time period of time between failure detection time intervals, the maximum integer less than P/(1-P) is expressed as M, and the preventive test period is input to the power equipment loss distribution function, one of the combined parts P of the preventive test failure information (probability of the preventive test finding a failure in advance) is obtained 2 The expression is:
P 2 ＝1-W[(M+1)T]
and step 408, adding the first sub-preventive test fault probability and the second sub-preventive test fault probability to obtain preventive test fault information corresponding to the power equipment.
Specifically, the first sub-preventive test fault probability and the second sub-preventive test fault probability are added to obtain preventive test fault information P corresponding to the power equipment, namely the probability of faults occurring in a preset time period after the current moment under the condition of normal operation of the power equipment.
In this embodiment, the situation corresponding to the number of preventative tests is distinguished by using the number of preventative tests standard value, and different condition amounts are respectively input to the power equipment loss distribution function for different situations to calculate, so that the calculation scheme can be implemented to different situations, and the accuracy of calculating the preventative test fault information can be improved.
In one embodiment, as shown in fig. 5, the fault detection time interval and the preventive test period are input to a loss distribution function of the power equipment, so as to obtain a first sub-preventive test fault probability corresponding to the power equipment, which includes:
step 502, a fault detection threshold constant, a preventive test period and preventive test times of a fault time interval are input to a first sub-power equipment loss distribution function corresponding to the power equipment, so as to obtain a first function value corresponding to the power equipment.
The first function value may be a value calculated by a loss distribution function of the first sub-power device.
Specifically, if the number of preventative tests k that the power equipment has completed is smaller than the preventative test number standard value p/(1-p), that is, only 1 time of the preventative test is in the failure detection time interval, the failure detection threshold constant of the failure detection time interval, the preventative test period, and the preventative test number are input to the first sub-power equipment loss distribution function corresponding to the power equipment, the first function value (one of the combined parts of the first sub-preventative test failure probabilities) corresponding to the power equipment is obtained, with the expression: w (kT/p).
And step 504, inputting the preventive test period and the preventive test times into a second sub-power equipment loss distribution function corresponding to the power equipment to obtain a second function value corresponding to the power equipment.
The second function value may be a value calculated by a loss distribution function of the second sub-power device.
Specifically, if the number of preventative tests k that the power equipment has completed is smaller than the preventative test number standard value p/(1-p), that is, only 1 time of preventative tests is in the time interval for failure detection, the preventative test period and the preventative test number are input to the corresponding second sub power equipment loss distribution function of the power equipment, and the corresponding second function value (one of the combination parts of the first sub preventative test failure probabilities) of the power equipment is obtained, where the expression is: w (kT).
Step 506, subtracting the second function value corresponding to the second sub-power equipment loss distribution function from the first function value corresponding to the first sub-power equipment loss distribution function to obtain a first sub-preventive test fault probability corresponding to the power equipment.
Specifically, a first function value corresponding to the loss distribution function of the first sub-power equipment is taken as a subtracted number, and a second function value corresponding to the loss distribution function of the second sub-power equipment is taken as a subtracted number, and subtraction is performed to obtain one of the combined parts P of the preventive test fault information (probability of the preventive test finding a fault in advance) 1 The expression is:
P 1 ＝W(kT/p)-W(kT)
in this embodiment, the first sub-preventive test fault probability corresponding to the power equipment is split into two different function values to be expressed, and different condition amounts are respectively input to the corresponding power equipment loss distribution functions for the different function values to calculate, so that the situation that the preventive test times are smaller than the preventive test times standard value can be considered, and the accuracy of calculating the preventive test fault information is improved.
In one embodiment, as shown in fig. 6, inputting the preventive test period into the power equipment loss distribution function to obtain a second sub-preventive test fault probability corresponding to the power equipment, including:
Step 602, inputting the preventive test sub-maximum integer value and the preventive test period to a third sub-power equipment loss distribution function corresponding to the power equipment, and obtaining a third function value corresponding to the power equipment.
The maximum value of the preventive test number may be a maximum integer value smaller than the standard value of the preventive test number.
The third function value may be a value calculated by a third sub-power device loss distribution function.
Specifically, if the number of preventive tests k that the power equipment has completed is greater than the preventive test number standard value p/(1-p), that is, if there is a time for 2 or more preventive tests in the failure detection time interval, the maximum integer value (preventive test number maximum value) smaller than p/(1-p) is expressed as M, the preventive test number maximum integer value and the preventive test period are input to the third sub-power equipment loss distribution function corresponding to the power equipment, a third function value corresponding to the power equipment is obtained, and the expression is: w [ (M+1) T ].
And step 604, calculating a difference value between the third function value corresponding to the loss distribution function of the 1 and the third sub-power equipment to obtain a second sub-preventive test fault probability corresponding to the power equipment.
Specifically, because the third function value corresponding to the third sub-power device loss distribution function is W [ (M+1) T]Therefore, for the probability of failure of the second sub-preventive test corresponding to the power equipment, the calculation formula is: p (P) 2 ＝1-W[(M+1)T]。
In this embodiment, the second sub-preventive test fault probability is calculated by introducing the maximum integer value of the preventive test times, and the calculation accuracy of the preventive test fault probability can be improved by further combining the connection of the preventive test times being greater than the preventive test times standard value and the preventive test times being less than the preventive test times standard value.
In one embodiment, as shown in fig. 7, according to the commissioning time of each electrical device and the decommissioning time of each electrical device, obtaining an electrical device loss distribution function corresponding to the electrical device includes:
step 702, obtaining a service life sequence of each power device according to the operation time of each power device and the retirement time of each power device.
The power equipment lifetime sequence may be a sequence formed by arranging the service lives of the respective power equipment.
Specifically, the operation time of each power equipment and the operation time of each power equipment in any type in a power grid system are counted, the operation time of the power equipment is subtracted from the operation time of the power equipment aiming at any one power equipment to obtain the service life of the power equipment corresponding to each power equipment, the service lives of the power equipment are arranged to obtain a service life sequence t of the power equipment corresponding to each power equipment i 。
And step 704, arranging all elements in the life sequence of the power equipment from small to large, and calculating the bit rank sequence of the power equipment according to the arrangement result.
The bit rank sequence in the power equipment may be a sequence corresponding to a value that the power equipment should have on a confidence level of 50% when the power equipment fails j-th in the N unit samples, or a sequence corresponding to a best estimated value of unreliability.
Specifically, the power equipment life sequence t i Sequencing from small to large, and calculating the bit rank sequence F (t) i ) The expression is:
where i represents what number of data and n represents how much data is together, for example: 43 failure time points, i.e. n=43.
Step 706, constructing a power equipment loss distribution function corresponding to the power equipment according to the median rank sequence.
Specifically, the intermediate variable x is calculated from the median rank sequence i And y i Is the sequence of (2)Columns, expressions are:
x i ＝ln(t i )，
according to the intermediate variable x i And y i Sequence calculation x of (2) i And y i Average value of (2)And->Second order center moment l xx 、l yy 、l xy And calculate +.>And->The expressions are respectively:
according toAnd->Parameter estimation is carried out on parameters m and eta in the Weibull distribution expression, wherein the equation sets are respectively as follows:
According toAnd->After parameter m and eta are subjected to parameter estimation, the parameters are substituted into a Weibull distribution expression, and then a power equipment loss distribution function corresponding to any one power equipment is constructed.
The parameter settings in the method for determining the validity of the preventive test of the electric equipment based on the fault detection interval are shown in fig. 8.
In this embodiment, the weibull distribution is used to construct a corresponding power equipment loss distribution function for the power equipment of the same type, so that the adaptive capacity of the power equipment loss distribution function can be improved by utilizing the characteristics of weibull distribution, and the prediction accuracy of the probability of failure in a preset time period can be further improved.
It should be understood that, although the steps in the flowcharts related to the above embodiments are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a device for determining the validity of the power equipment preventive test based on the fault detection requirement zone, which is used for realizing the method for determining the validity of the power equipment preventive test based on the fault detection requirement zone. The implementation scheme of the device for solving the problem is similar to that described in the above method, so the specific limitation in the embodiment of the device for determining the preventive test effectiveness of the electric equipment based on the fault detection requirement zone provided below can be referred to the limitation in the above method for determining the preventive test effectiveness of the electric equipment based on the fault detection requirement zone, and is not repeated herein.
In one embodiment, as shown in fig. 9, there is provided an apparatus for determining validity of a preventive test of an electrical device based on a section to be inspected for a fault, comprising: an electrical device operation parameter obtaining module 902, an electrical device loss distribution function obtaining module 904, a fault detection time interval determining module 906, a preventive test period obtaining module 908, and a preventive test fault information obtaining module 910, wherein:
an electrical equipment operation parameter obtaining module 902, configured to obtain electrical equipment operation parameters corresponding to each electrical equipment of the same type in the electrical system; the power equipment operation parameters comprise power equipment operation time, power equipment retirement time, power equipment description information, power equipment operation characteristic data and preventive test standard data;
The power equipment loss distribution function obtaining module 904 is configured to obtain a power equipment loss distribution function corresponding to any one power equipment according to the operation time of the power equipment and the retirement time of the power equipment;
the fault detection time interval determining module 906 is configured to determine a fault detection time interval corresponding to the power device according to the power device description information; the power equipment description information is obtained by integrating power equipment manufacturing description information and power equipment operation description information which are respectively corresponding to the power equipment;
a preventive test period obtaining module 908, configured to obtain a preventive test period corresponding to the power device according to the operation characteristic data of the power device and the preventive test standard data;
the preventive test fault information obtaining module 910 is configured to input a time interval for fault detection and a preventive test period to a loss distribution function of the power equipment to obtain preventive test fault information corresponding to the power equipment; the probability of the preventive test fault represents the probability of the fault of the power equipment in a preset time period after the current moment under the condition of normal operation.
In one embodiment, the fault detection time interval determining module 906 is further configured to determine a fault detection threshold constant corresponding to the power device according to power device manufacturing description information and power device operation description information corresponding to the power device respectively; subtracting the operation time of the power equipment from the retired time of the power equipment to obtain the service life time of the power equipment corresponding to the power equipment; and determining a fault detection time interval corresponding to the power equipment according to the fault detection threshold constant and the service life time of the power equipment.
In one embodiment, the preventive test fault information obtaining module 910 is further configured to determine a preventive test frequency standard value corresponding to the power device according to the fault detection threshold constant; under the condition that the preventive test times of the power equipment are smaller than the standard value of the preventive test times, inputting a time interval for fault detection and a preventive test period into a loss distribution function of the power equipment to obtain a first sub-preventive test fault probability corresponding to the power equipment; under the condition that the preventive test times of the power equipment are larger than the preventive test times standard value, inputting the preventive test period into the power equipment loss distribution function to obtain a second sub-preventive test fault probability corresponding to the power equipment; and adding the first sub-preventive test fault probability and the second sub-preventive test fault probability to obtain preventive test fault information corresponding to the power equipment.
In one embodiment, the preventive test fault information obtaining module 910 is further configured to input a fault detection threshold constant, a preventive test period, and a preventive test number of times in a time interval for a fault to be detected to a first sub-power device loss distribution function corresponding to the power device, to obtain a first function value corresponding to the power device; inputting the preventive test period and the preventive test times into a second sub-power equipment loss distribution function corresponding to the power equipment to obtain a second function value corresponding to the power equipment; and subtracting a second function value corresponding to the loss distribution function of the second sub-power equipment from the first function value corresponding to the loss distribution function of the first sub-power equipment to obtain a first sub-preventive test fault probability corresponding to the power equipment.
In one embodiment, the preventive test fault information obtaining module 910 is further configured to input a preventive test sub-maximum integer value and a preventive test period to a third sub-power device loss distribution function corresponding to a power device to obtain a third function value corresponding to the power device, where the preventive test maximum integer value is a maximum integer value corresponding to a standard value less than the preventive test number; and calculating the difference value between the third function value corresponding to the loss distribution function of the 1 and the third sub-power equipment to obtain the fault probability of the second sub-preventive test corresponding to the power equipment.
In one embodiment, the power device loss distribution function obtaining module 904 is further configured to obtain a power device lifetime sequence corresponding to each power device according to the commissioning time of each power device and the retirement time of each power device; arranging all elements in the life sequence of the power equipment from small to large, and calculating the bit rank sequence of the power equipment according to an arrangement result; and constructing a power equipment loss distribution function corresponding to the power equipment according to the median rank sequence.
The above-mentioned each module in the power equipment preventive test effectiveness determining device based on the fault detection section may be implemented in whole or in part by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 10. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is for storing server data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by the processor, implements a method for determining the validity of a preventive test of an electrical device based on a fault interval.
It will be appreciated by those skilled in the art that the structure shown in FIG. 10 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, storing a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
In one embodiment, a computer program product or computer program is provided that includes computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the steps in the above-described method embodiments.
The user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (9)
1. A method for determining the validity of a preventive test of an electrical device based on a fault interval, the method comprising:
acquiring power equipment operation parameters corresponding to all power equipment of the same type in a power system; the power equipment operation parameters comprise power equipment operation time, power equipment retirement time, power equipment description information, power equipment operation characteristic data and preventive test standard data;
Obtaining a power equipment loss distribution function corresponding to any one of the power equipment according to the operation time of the power equipment and the retirement time of the power equipment;
determining a fault detection time interval corresponding to the power equipment according to the power equipment description information; the power equipment description information is obtained by integrating power equipment manufacturing description information and power equipment operation description information which correspond to the power equipment respectively;
obtaining a preventive test period corresponding to the power equipment according to the power equipment operation characteristic data and the preventive test standard data;
inputting the fault detection time interval and the preventive test period into the power equipment loss distribution function to obtain preventive test fault information corresponding to the power equipment; the preventive test fault information characterizes the probability of fault occurrence of the power equipment in a preset time period after the current moment under the condition of normal operation; determining a preventive test frequency standard value corresponding to the power equipment according to a fault detection threshold constant; when the preventive test times of the power equipment are smaller than the standard value of the preventive test times, inputting the time interval required for fault detection and the preventive test period into the power equipment loss distribution function to obtain a first sub-preventive test fault probability corresponding to the power equipment; under the condition that the preventive test times of the power equipment are larger than the preventive test times standard value, inputting the preventive test period into the power equipment loss distribution function to obtain a second sub-preventive test fault probability corresponding to the power equipment; and adding the first sub-preventive test fault probability and the second sub-preventive test fault probability to obtain preventive test fault information corresponding to the power equipment.
2. The method of claim 1, wherein the determining the fault-required time interval corresponding to the electrical device according to at least one of the electrical device description information comprises:
determining a fault detection threshold constant corresponding to the power equipment according to the power equipment manufacturing description information and the power equipment operation description information respectively corresponding to the power equipment;
subtracting the operation time of the power equipment from the retired time of the power equipment to obtain the service life time of the power equipment corresponding to the power equipment;
and determining a fault detection time interval corresponding to the power equipment according to the fault detection threshold constant and the service life time of the power equipment.
3. The method according to claim 1, wherein the power equipment loss distribution function includes a first sub power equipment loss distribution function, a second sub power equipment loss distribution function, and a third sub power equipment loss distribution function, and the inputting the fault detection time interval and the preventive test period into the power equipment loss distribution function, to obtain a first sub preventive test fault probability corresponding to the power equipment includes:
Inputting the fault detection threshold constant, the preventive test period and the preventive test times of the fault detection time interval into a first sub-power equipment loss distribution function corresponding to the power equipment to obtain a first function value corresponding to the power equipment;
inputting the preventive test period and the preventive test times into a second sub-power equipment loss distribution function corresponding to the power equipment to obtain a second function value corresponding to the power equipment;
and subtracting a second function value corresponding to the second sub-power equipment loss distribution function from the first function value corresponding to the first sub-power equipment loss distribution function to obtain a first sub-preventive test fault probability corresponding to the power equipment.
4. A method according to claim 3, wherein said inputting the preventive test period into the power equipment loss distribution function to obtain a second sub-preventive test fault probability for the power equipment comprises:
inputting a preventive test time maximum integer value and the preventive test period into a third sub-power equipment loss distribution function corresponding to the power equipment to obtain a third function value corresponding to the power equipment, wherein the preventive test maximum integer value is smaller than a maximum integer value corresponding to the preventive test time standard value;
And calculating a difference value between the first function value 1 and a third function value corresponding to the third sub-power equipment loss distribution function to obtain a second sub-preventive test fault probability corresponding to the power equipment.
5. The method according to claim 1, wherein the obtaining the power equipment loss distribution function corresponding to the power equipment according to the operation time of each power equipment and the retirement time of each power equipment includes:
obtaining a service life sequence of the power equipment corresponding to each power equipment according to the operation time of the power equipment and the retirement time of the power equipment;
arranging all elements in the life sequence of the power equipment from small to large, and calculating a bit rank sequence of the power equipment according to an arrangement result;
and constructing a power equipment loss distribution function corresponding to the power equipment according to the median rank sequence.
6. An apparatus for determining validity of preventive tests of electrical equipment based on a section to be inspected for faults, the apparatus comprising:
the electric equipment operation parameter acquisition module is used for acquiring the operation parameters of the electric equipment corresponding to the electric equipment of the same type in the electric power system; the power equipment operation parameters comprise power equipment operation time, power equipment retirement time, power equipment description information, power equipment operation characteristic data and preventive test standard data;
The power equipment loss distribution function obtaining module is used for obtaining any power equipment loss distribution function corresponding to the power equipment according to the operation time of the power equipment and the retirement time of the power equipment;
the fault detection time interval determining module is used for determining a fault detection time interval corresponding to the power equipment according to the power equipment description information; the power equipment description information is obtained by integrating power equipment manufacturing description information and power equipment operation description information which correspond to the power equipment respectively;
the preventive test period obtaining module is used for obtaining a preventive test period corresponding to the power equipment according to the power equipment operation characteristic data and the preventive test standard data;
the preventive test fault information obtaining module is used for inputting the time interval for fault detection and the preventive test period into the power equipment loss distribution function to obtain preventive test fault information corresponding to the power equipment; the preventive test fault information characterizes the probability of fault occurrence of the power equipment in a preset time period after the current moment under the condition of normal operation; determining a preventive test frequency standard value corresponding to the power equipment according to a fault detection threshold constant; when the preventive test times of the power equipment are smaller than the standard value of the preventive test times, inputting the time interval required for fault detection and the preventive test period into the power equipment loss distribution function to obtain a first sub-preventive test fault probability corresponding to the power equipment; under the condition that the preventive test times of the power equipment are larger than the preventive test times standard value, inputting the preventive test period into the power equipment loss distribution function to obtain a second sub-preventive test fault probability corresponding to the power equipment; and adding the first sub-preventive test fault probability and the second sub-preventive test fault probability to obtain preventive test fault information corresponding to the power equipment.
7. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 5 when the computer program is executed.
8. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 5.
9. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 5.
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