CN115290798B - Stability performance monitoring method and terminal of transformer oil chromatographic online monitoring device - Google Patents
Stability performance monitoring method and terminal of transformer oil chromatographic online monitoring device Download PDFInfo
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- 238000012806 monitoring device Methods 0.000 title claims abstract description 74
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000012544 monitoring process Methods 0.000 title claims abstract description 21
- 239000004215 Carbon black (E152) Substances 0.000 claims abstract description 110
- 229930195733 hydrocarbon Natural products 0.000 claims abstract description 110
- 150000002430 hydrocarbons Chemical class 0.000 claims abstract description 110
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 claims abstract description 109
- 229910052739 hydrogen Inorganic materials 0.000 claims abstract description 109
- 239000001257 hydrogen Substances 0.000 claims abstract description 109
- 238000004587 chromatography analysis Methods 0.000 claims abstract description 39
- 238000004364 calculation method Methods 0.000 claims description 44
- 238000004590 computer program Methods 0.000 claims description 22
- 238000012797 qualification Methods 0.000 claims description 22
- 230000000694 effects Effects 0.000 abstract description 4
- 230000006870 function Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 230000032683 aging Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000005672 electromagnetic field Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- 230000003287 optical effect Effects 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
- G01N30/88—Integrated analysis systems specially adapted therefor, not covered by a single one of the groups G01N30/04 - G01N30/86
Abstract
The application provides a stability performance monitoring method and a terminal of a transformer oil chromatographic online monitoring device. The method comprises the following steps: acquiring a plurality of data samples of the transformer oil chromatographic online monitoring device in a preset time; calculating hydrogen repeatability RSD and total hydrocarbon repeatability RSD for all data samples; and determining the stability performance of the transformer oil chromatographic online monitoring device according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD. The device can monitor the stability of the transformer oil chromatography on-line monitoring device in real time, improves the application effect of the transformer oil chromatography on-line monitoring device, and is convenient to apply and popularize in actual engineering.
Description
Technical Field
The application relates to the technical field of online monitoring of transformer equipment, in particular to a stability performance monitoring method and a terminal of an online monitoring device for transformer oil chromatography.
Background
The transformer is used as one of core equipment of the power grid, the operation reliability of the transformer directly influences the safe and stable operation level of the power grid, and the significance of guaranteeing the safe and stable operation of the core equipment such as the transformer is great. The transformer oil chromatographic online monitoring device can monitor the running state of a transformer in real time, discover and track latent faults, and is widely applied to transformer substations with voltage levels of 110kV and above at present.
The stability of the data of the transformer oil chromatographic on-line monitoring device is deteriorated due to the influence of various factors such as severe field environment, electromagnetic fields existing around operating equipment, aging of the monitoring device and the like. If the transformer oil chromatographic online monitoring device with poor stability performance is not diagnosed in time, accidents such as false alarm, false judgment on the running state of the transformer, missed judgment and the like can be caused, and the application value and the data reliability of the transformer oil chromatographic online monitoring device are lost.
However, no technical solution for monitoring the stability of the transformer oil chromatography online monitoring device in real time exists in the prior art.
Disclosure of Invention
The embodiment of the application provides a stability performance monitoring method and a terminal of an online transformer oil chromatography monitoring device, which are used for solving the problem that the stability performance of the online transformer oil chromatography monitoring device cannot be monitored in real time.
In a first aspect, an embodiment of the present application provides a method for monitoring stability of an online monitoring device for transformer oil chromatography, including:
acquiring a plurality of data samples monitored by an online monitoring device for transformer oil chromatography within a preset time; each data sample contains a hydrogen content value and a total hydrocarbon content value;
calculating hydrogen repeatability RSD and total hydrocarbon repeatability RSD for all data samples;
and determining the stability of the transformer oil chromatographic online monitoring device according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD.
In one possible implementation, before the calculating the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD of all the data samples, further comprises:
dividing all the data samples into N groups, wherein each group comprises M data samples; n is an integer greater than or equal to 1, M is an integer greater than or equal to 5;
the calculating hydrogen repeatability RSD and total hydrocarbon repeatability RSD for all data samples comprises:
the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD were calculated separately in each set of data samples.
In one possible implementation manner, the determining the stability performance of the transformer oil chromatography online monitoring device according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD includes:
determining the reliability of each set of data samples according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD of each set of data samples;
according to the reliability of all the group data samples, calculating the qualification rate of all the group data samples;
and when the qualification rate is greater than or equal to a first preset value, determining that the stability performance of the transformer oil chromatographic online monitoring device is qualified.
In one possible implementation, the determining the reliability of each set of data samples according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD of each set of data samples includes:
respectively calculating the average value of the hydrogen content and the average value of the total hydrocarbon content in the current group of data samples;
when the average value of the hydrogen content is smaller than or equal to a second preset value, and the hydrogen repeatability RSD of the current group of data samples is larger than 0 and smaller than or equal to a third preset value, determining that the calculation result of the hydrogen repeatability RSD in the current group of data samples is reliable;
when the average value of the hydrogen content is larger than the second preset value and the hydrogen repeatability RSD of the current group of data samples is larger than 0 and smaller than or equal to a fourth preset value, determining that the calculation result of the hydrogen repeatability RSD in the current group of data samples is reliable; the third preset value is larger than the fourth preset value;
when the average value of the total hydrocarbon content is smaller than or equal to the second preset value, and the total hydrocarbon repeatability RSD of the current group of data samples is larger than 0 and smaller than or equal to the third preset value, determining that the calculation result of the total hydrocarbon repeatability RSD in the current group of data samples is reliable;
when the average value of the total hydrocarbon content is larger than the second preset value and the total hydrocarbon repeatability RSD of the current group of data samples is larger than 0 and smaller than or equal to a fourth preset value, determining that the calculation result of the total hydrocarbon repeatability RSD in the current group of data samples is reliable;
if the calculation result of the hydrogen repeatability RSD in the current group of data samples is reliable and the calculation result of the total hydrocarbon repeatability RSD is reliable, determining that the current group of data samples is reliable;
otherwise, it is determined that the current set of data samples is unreliable.
In one possible implementation, the calculating hydrogen repeatability RSD and total hydrocarbon repeatability RSD in each set of data samples, respectively, includes:
according toCalculating hydrogen repeatability RSD or total hydrocarbon repeatability RSD in the current set of data samples;
wherein RSD represents the current set of hydrogen repeatability RSD, C i Representing the hydrogen content value in the ith data sample in the current group,representing the average value of hydrogen content values in all data samples in the current group, and M represents the number of data samples in the current group;
alternatively, RSD represents the total hydrocarbon repeatability RSD, C of the current group i Representing the total hydrocarbon content value in the ith data sample in the current group,representing an average value of total hydrocarbon content values in all data samples in the current group, M representing the number of data samples in the current group;
and calculating the qualification rate of all the group data samples according to the reliability of all the group data samples, wherein the qualification rate comprises the following steps:
according toCalculating the qualification rate of all groups of data samples;
wherein ,RSDYield of percent of pass Representing the qualification rate of all sets of data samples, r representing the number of sets of data samples that are reliable, and q representing the number of all sets.
In one possible implementation manner, after the dividing all the data samples into N groups, each group includes M data samples, the method further includes:
checking whether missing items exist in each group of data samples;
if the missing items exist in the data samples of the current group, determining that the data samples of the current group are unreliable;
if no missing items exist in the data samples of the current group, calculating the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD of the data samples of the current group, and determining the reliability of each data sample according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD of each data sample.
In a second aspect, an embodiment of the present application provides a stability performance monitoring device of an online transformer oil chromatographic monitoring device, including:
the acquisition module is used for acquiring a plurality of data samples monitored by the transformer oil chromatography on-line monitoring device within a preset time;
a calculation module for calculating hydrogen repeatability RSD and total hydrocarbon repeatability RSD for all data samples;
and the judging module is used for determining the stability performance of the transformer oil chromatographic online monitoring device according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD.
In a possible implementation manner, the computing module is further configured to divide all the data samples equally into N groups, each group containing M data samples; n is an integer greater than or equal to 1, M is an integer greater than or equal to 5;
the calculation module is further used for calculating the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD in each group of data samples respectively.
In a third aspect, embodiments of the present application provide a terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method according to the first aspect or any one of the possible implementations of the first aspect, when the computer program is executed.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method as described above in the first aspect or any one of the possible implementations of the first aspect.
The embodiment of the application provides a stability performance monitoring method and a terminal of an online monitoring device for transformer oil chromatography, which are used for acquiring a plurality of data samples of the online monitoring device for transformer oil chromatography within preset time; calculating hydrogen repeatability RSD and total hydrocarbon repeatability RSD for all data samples; according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD, the stability of the transformer oil chromatography on-line monitoring device is determined, the stability of the transformer oil chromatography on-line monitoring device can be monitored in real time, the application effect of the transformer oil chromatography on-line monitoring device is improved, and the transformer oil chromatography on-line monitoring device is convenient to apply and popularize in actual engineering.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for monitoring the stability of an online monitoring device for transformer oil chromatography according to an embodiment of the present application;
FIG. 2 is a flow chart illustrating a method for monitoring the stability of an online monitoring device for transformer oil chromatography according to another embodiment of the present application;
FIG. 3 is a schematic structural diagram of a stability monitoring device of an online monitoring device for transformer oil chromatography according to an embodiment of the present application;
fig. 4 is a schematic diagram of a terminal according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the following description will be made by way of specific embodiments with reference to the accompanying drawings.
Fig. 1 is a flowchart of an implementation method of a stability performance monitoring method of an online transformer oil chromatographic monitoring device according to an embodiment of the present application, which is described in detail below:
step 101, acquiring a plurality of data samples of the transformer oil chromatographic online monitoring device in a preset time. Each data sample contained a hydrogen content value and a total hydrocarbon content value.
The online monitoring device for the transformer oil chromatography is fixedly connected with an online transformer, and periodically detects the transformer oil in the transformer to obtain corresponding online data and store the online data. The preset time may be 1 month, 3 months or 6 months, and is set by the user. The embodiment of the present application is not particularly limited thereto.
Step 102, calculate hydrogen repeatability RSD and total hydrocarbon repeatability RSD for all data samples.
Optionally, referring to fig. 2, before step 102, the method further includes:
104, equally dividing all the data samples into N groups, wherein each group comprises M data samples; n is an integer greater than or equal to 1, and M is an integer greater than or equal to 5. Preferably, M may be 6.
Further, after step 104, the method further includes:
step 105, checking whether missing items exist in each group of data samples;
if the missing items exist in the data samples of the current group, determining that the data samples of the current group are unreliable;
if the missing items do not exist in the data samples of the current group, calculating the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD of the data samples of the current group, and determining the reliability of the data samples of each group according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD of the data samples of each group.
In practical applications, the data sample obtained in step 101 may have a missing term, for example, if only the hydrogen value is included in one data sample, and the total hydrocarbon value is not included in one data sample, this indicates that the total hydrocarbon value is missing, and vice versa. If there is a missing term for the data samples in the current group, the data samples of the current group are directly determined to be unreliable without calculating the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD.
Accordingly, step 102 may include:
the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD were calculated separately in each set of data samples. It is to be understood that "groups of data samples" herein refers to groups of data samples in which there are no missing items of data samples within the group.
Alternatively, it may be based onCalculating hydrogen repeatability RSD or total hydrocarbon repeatability RSD in the current set of data samples;
wherein RSD represents the current set of hydrogen repeatability RSD, C i Representing the hydrogen content value in the ith data sample in the current group,representing the average value of hydrogen content values in all data samples in the current group, and M represents the number of data samples in the current group;
alternatively, RSD represents the total hydrocarbon repeatability RSD, C of the current group i Representing the total hydrocarbon content value in the ith data sample in the current group,represents the average of the total hydrocarbon content values in all the data samples in the current group, and M represents the number of data samples in the current group.
By grouping the data samples in advance and then calculating the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD in each group, the calculation accuracy of the repeatability RSD can be effectively improved.
And step 103, determining the stability of the transformer oil chromatographic online monitoring device according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD.
Optionally, step 103 may include:
step 1301, determining the reliability of each set of data samples according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD of each set of data samples;
more specifically, step 1301 may include:
respectively calculating the average value of the hydrogen content and the average value of the total hydrocarbon content in the current group of data samples;
when the average value of the hydrogen content is smaller than or equal to a second preset value, and the hydrogen repeatability RSD of the current group of data samples is larger than 0 and smaller than or equal to a third preset value, determining that the calculation result of the hydrogen repeatability RSD in the current group of data samples is reliable;
when the average value of the hydrogen content is larger than the second preset value, and the hydrogen repeatability RSD of the current group of data samples is larger than 0 and smaller than or equal to a fourth preset value, determining that the calculation result of the hydrogen repeatability RSD in the current group of data samples is reliable; the third preset value is larger than the fourth preset value;
when the average value of the total hydrocarbon content is smaller than or equal to a second preset value, and the total hydrocarbon repeatability RSD of the current group of data samples is larger than 0 and smaller than or equal to a third preset value, determining that the calculation result of the total hydrocarbon repeatability RSD in the current group of data samples is reliable;
when the average value of the total hydrocarbon content is larger than a second preset value and the total hydrocarbon repeatability RSD of the current group of data samples is larger than 0 and smaller than or equal to a fourth preset value, determining that the calculation result of the total hydrocarbon repeatability RSD in the current group of data samples is reliable;
if the calculation result of the hydrogen repeatability RSD in the current group of data samples is reliable and the calculation result of the total hydrocarbon repeatability RSD is reliable, determining that the current group of data samples is reliable;
otherwise, it is determined that the current set of data samples is unreliable.
Preferably, the second preset value may be any value between 40. Mu.L/L and 60. Mu.L/L, for example, 50. Mu.L/L. The third preset value may be any value between 6% -15%, for example 10%. The fourth preset value is less than the third preset value, which may be 5%.
Step 1302, calculating the qualification rate of all the group data samples according to the reliability of all the group data samples.
In particular, it can be based onCalculating the qualification rate of all groups of data samples;
wherein ,RSDYield of percent of pass Representing the qualification rate of all sets of data samples, r representing the number of sets of data samples that are reliable, and q representing the number of all sets.
And step 1303, when the qualification rate is greater than or equal to a first preset value, determining that the stability performance of the transformer oil chromatographic online monitoring device is qualified.
The first preset value may be set by the user according to the requirement of the user for stability, which is not particularly limited in the embodiment of the present application.
According to the embodiment of the application, a plurality of data samples of the transformer oil chromatographic online monitoring device in a preset time are obtained; calculating hydrogen repeatability RSD and total hydrocarbon repeatability RSD for all data samples; according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD, the stability of the transformer oil chromatography on-line monitoring device is determined, the stability of the transformer oil chromatography on-line monitoring device can be monitored in real time, the application effect of the transformer oil chromatography on-line monitoring device is improved, and the transformer oil chromatography on-line monitoring device is convenient to apply and popularize in actual engineering. The hydrogen repeatability RSD and the total hydrocarbon repeatability RSD of the data samples are calculated in groups, and the stability performance of the transformer oil chromatographic online monitoring device is determined according to the corresponding judging rules, so that the monitoring accuracy of the stability performance is greatly improved. Meanwhile, the method can be used for directly monitoring the transformer oil chromatography on-line monitoring device in the running state so as to obtain a data sample, so that the analysis frequency of the stability performance of the transformer oil chromatography on-line monitoring device in the running state can be enhanced, and the monitoring efficiency of the stability performance can be improved.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present application.
The following are device embodiments of the application, for details not described in detail therein, reference may be made to the corresponding method embodiments described above.
Fig. 3 is a schematic structural diagram of a performance monitoring device of an online monitoring device for transformer oil chromatography according to an embodiment of the present application, and for convenience of explanation, only a portion relevant to the embodiment of the present application is shown, which is described in detail below:
as shown in fig. 3, the performance monitoring device 3 of the transformer oil chromatography on-line monitoring device includes: an acquisition module 31, a calculation module 32 and a decision module 33.
The acquisition module 31 is used for acquiring a plurality of data samples of the transformer oil chromatography on-line monitoring device within a preset time;
a calculation module 32 for calculating a hydrogen repeatability RSD and a total hydrocarbon repeatability RSD for all data samples;
a decision module 33, configured to determine the stability performance of the transformer oil chromatographic online monitoring device according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD.
In one possible implementation, the calculating module 32 is configured to divide all the data samples equally into N groups, each group containing M data samples; n is an integer greater than or equal to 1, and M is an integer greater than or equal to 5.
The calculation module 32 is further configured to calculate the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD in each set of data samples, respectively.
In one possible implementation, the determining module 33 is configured to determine the reliability of each set of data samples according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD of each set of data samples.
The determining module 33 is further configured to calculate a qualification rate of all the group data samples according to the reliability of all the group data samples.
The determining module 33 is further configured to determine that the stability performance of the transformer oil chromatographic online monitoring device is acceptable when the qualification rate is greater than or equal to a first preset value.
In one possible implementation, the determination module 33 is configured to calculate an average value of the hydrogen content and an average value of the total hydrocarbon content in the current set of data samples, respectively. .
The determining module 33 is further configured to determine that the calculation result of the hydrogen repeatability RSD in the current set of data samples is reliable when the average value of the hydrogen content is less than or equal to the second preset value, and the hydrogen repeatability RSD of the current set of data samples is greater than 0 and less than or equal to the third preset value;
when the average value of the hydrogen content is larger than a second preset value, and the hydrogen repeatability RSD of the current group of data samples is larger than 0 and smaller than or equal to a fourth preset value, determining that the calculation result of the hydrogen repeatability RSD in the current group of data samples is reliable; the third preset value is larger than the fourth preset value;
when the average value of the total hydrocarbon content is smaller than or equal to a second preset value, and the total hydrocarbon repeatability RSD of the current group of data samples is larger than 0 and smaller than or equal to a third preset value, determining that the calculation result of the total hydrocarbon repeatability RSD in the current group of data samples is reliable;
when the average value of the total hydrocarbon content is larger than the second preset value and the total hydrocarbon repeatability RSD of the current group of data samples is larger than 0 and smaller than or equal to a fourth preset value, determining that the calculation result of the total hydrocarbon repeatability RSD in the current group of data samples is reliable;
if the calculation result of the hydrogen repeatability RSD in the current group of data samples is reliable and the calculation result of the total hydrocarbon repeatability RSD is reliable, determining that the current group of data samples is reliable;
otherwise, the decision module 34 is further configured to determine that the current set of data samples is unreliable.
In one possible implementation, the calculation module 32 is configured to calculate, based onThe hydrogen repeatability RSD or total hydrocarbon repeatability RSD in the current set of data samples is calculated.
Wherein RSD represents the current set of hydrogen repeatability RSD, C i Representing the hydrogen content value in the ith data sample in the current group,represents the average of the hydrogen content values in all the data samples in the current group, and M represents the number of data samples in the current group.
Alternatively, RSD represents the total hydrocarbon repeatability RSD, C of the current group i Representing the total hydrocarbon content value in the ith data sample in the current group,represents the average of the total hydrocarbon content values in all the data samples in the current group, and M represents the number of data samples in the current group.
The calculation module 32 is also used for calculating according toCalculating the qualification rate of all groups of data samples;
wherein ,RSDYield of percent of pass Representing the qualification rate of all sets of data samples, r representing the number of sets of data samples that are reliable, and q representing the number of all sets.
In one possible implementation, the calculation module 32 is further configured to check whether missing items exist in each set of data samples.
The calculation module 32 is further configured to determine that the data samples of the current group are unreliable if there is a missing item in the data samples of the current group;
the calculation module 32 is further configured to calculate a hydrogen repeatability RSD and a total hydrocarbon repeatability RSD of the current set of data samples if there is no missing term in the current set of data samples, and determine the reliability of each set of data samples according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD of each set of data samples.
The embodiment of the application is used for acquiring a plurality of data samples of the transformer oil chromatographic online monitoring device in a preset time through the acquisition module 31; a calculation module 32 for calculating a hydrogen repeatability RSD and a total hydrocarbon repeatability RSD for all data samples; the judging module 33 is configured to determine the stability of the transformer oil chromatography online monitoring device according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD, so that the stability of the transformer oil chromatography online monitoring device can be monitored in real time, the application effect of the transformer oil chromatography online monitoring device is improved, and the transformer oil chromatography online monitoring device is convenient to apply and popularize in practical engineering. The calculation module 32 is used for grouping and calculating the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD of the data samples, and the judging module 33 is used for determining the stability performance of the transformer oil chromatograph online monitoring device according to the corresponding judging rules, so that the monitoring accuracy of the stability performance is greatly improved.
Fig. 4 is a schematic diagram of a terminal according to an embodiment of the present application. As shown in fig. 4, the terminal 4 of this embodiment includes: a processor 40, a memory 41 and a computer program 42 stored in the memory 41 and executable on the processor 40. The processor 40, when executing the computer program 42, implements the steps of the above-described embodiments of the method for monitoring the stability performance of the online monitoring device for transformer oil chromatography, for example, steps 101 to 103 shown in fig. 1. Alternatively, the processor 40, when executing the computer program 42, performs the functions of the modules/units of the apparatus embodiments described above, such as the functions of the modules 31 to 33 shown in fig. 3.
Illustratively, the computer program 42 may be partitioned into one or more modules/units that are stored in the memory 41 and executed by the processor 40 to complete the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing the specified functions, which instruction segments are used for describing the execution of the computer program 42 in the terminal 4. For example, the computer program 42 may be divided into modules 31 to 33 shown in fig. 3.
The terminal 4 may be a computing device such as a desktop computer, a notebook computer, a palm computer, a cloud server, etc. The terminal 4 may include, but is not limited to, a processor 40, a memory 41. It will be appreciated by those skilled in the art that fig. 4 is merely an example of the terminal 4 and is not limiting of the terminal 4, and may include more or fewer components than shown, or may combine some components, or different components, e.g., the terminal may further include input and output devices, network access devices, buses, etc.
The processor 40 may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 41 may be an internal storage unit of the terminal 4, such as a hard disk or a memory of the terminal 4. The memory 41 may also be an external storage device of the terminal 4, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the terminal 4. Further, the memory 41 may also include both an internal storage unit and an external storage device of the terminal 4. The memory 41 is used for storing the computer program as well as other programs and data required by the terminal. The memory 41 may also be used for temporarily storing data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal and method may be implemented in other manners. For example, the apparatus/terminal embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present application may implement all or part of the procedures in the methods of the above embodiments, or may be implemented by instructing related hardware by a computer program, where the computer program may be stored in a computer readable storage medium, and the computer program may implement the steps of the embodiments of the method for monitoring stability performance of the online monitoring device for transformer oil chromatography of each transformer oil when the computer program is executed by a processor. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium may include content that is subject to appropriate increases and decreases as required by jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is not included as electrical carrier signals and telecommunication signals.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (6)
1. The method for monitoring the stability performance of the transformer oil chromatographic online monitoring device is characterized by comprising the following steps of:
acquiring a plurality of data samples of the transformer oil chromatographic online monitoring device in a preset time; each data sample contains a hydrogen content value and a total hydrocarbon content value;
dividing all data samples into N groups, wherein each group comprises M data samples; n is an integer greater than or equal to 1, M is an integer greater than or equal to 5;
respectively calculating hydrogen repeatability RSD and total hydrocarbon repeatability RSD in each group of data samples;
determining the stability performance of the transformer oil chromatographic online monitoring device according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD, wherein the method comprises the following steps of: determining the reliability of each set of data samples according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD of each set of data samples; according to the reliability of all the group data samples, calculating the qualification rate of all the group data samples; when the qualification rate is greater than or equal to a first preset value, determining that the stability performance of the transformer oil chromatographic online monitoring device is qualified;
the determining the reliability of each set of data samples according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD of each set of data samples comprises:
respectively calculating the average value of the hydrogen content and the average value of the total hydrocarbon content in the current group of data samples;
when the average value of the hydrogen content is smaller than or equal to a second preset value, and the hydrogen repeatability RSD of the current group of data samples is larger than 0 and smaller than or equal to a third preset value, determining that the calculation result of the hydrogen repeatability RSD in the current group of data samples is reliable;
when the average value of the hydrogen content is larger than the second preset value and the hydrogen repeatability RSD of the current group of data samples is larger than 0 and smaller than or equal to a fourth preset value, determining that the calculation result of the hydrogen repeatability RSD in the current group of data samples is reliable; the third preset value is larger than the fourth preset value;
when the average value of the total hydrocarbon content is smaller than or equal to the second preset value, and the total hydrocarbon repeatability RSD of the current group of data samples is larger than 0 and smaller than or equal to the third preset value, determining that the calculation result of the total hydrocarbon repeatability RSD in the current group of data samples is reliable;
when the average value of the total hydrocarbon content is larger than the second preset value and the total hydrocarbon repeatability RSD of the current group of data samples is larger than 0 and smaller than or equal to a fourth preset value, determining that the calculation result of the total hydrocarbon repeatability RSD in the current group of data samples is reliable;
if the calculation result of the hydrogen repeatability RSD in the current group of data samples is reliable and the calculation result of the total hydrocarbon repeatability RSD is reliable, determining that the current group of data samples is reliable;
otherwise, it is determined that the current set of data samples is unreliable.
2. The method for monitoring the stability performance of the transformer oil chromatography on-line monitoring device according to claim 1, wherein the calculating the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD in each group of data samples respectively comprises:
according toCalculating hydrogen repeatability RSD or total hydrocarbon repeatability RSD in the current set of data samples;
wherein ,hydrogen repeatability RSD, indicative of current group, +.>Indicating +.>Hydrogen content value in bar data samples, +.>Representing the average value of hydrogen content values in all data samples in the current group, and M represents the number of data samples in the current group;
or ,total hydrocarbon repeatability RSD, indicative of current group,/->Indicating +.>Number of stripsBased on the total hydrocarbon content value in the sample +.>Representing an average value of total hydrocarbon content values in all data samples in the current group, M representing the number of data samples in the current group;
and calculating the qualification rate of all the group data samples according to the reliability of all the group data samples, wherein the qualification rate comprises the following steps:
according toCalculating the qualification rate of all groups of data samples;
wherein ,representing the qualification rate of all sets of data samples, +.>Representing the number of reliable groups of data samples, +.>Indicating the number of all groups.
3. The method for monitoring the stability performance of the transformer oil chromatography on-line monitoring device according to claim 1, further comprising, after said equally dividing all the data samples into N groups each containing M data samples:
checking whether missing items exist in each group of data samples;
if the missing items exist in the data samples of the current group, determining that the data samples of the current group are unreliable;
if the missing items do not exist in the data samples of the current group, calculating the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD of the data samples of the current group, and determining the reliability of the data samples of each group according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD of the data samples of each group.
4. The utility model provides a stability performance monitoring devices of transformer oil chromatography on-line monitoring device which characterized in that includes:
the acquisition module is used for acquiring a plurality of data samples monitored by the transformer oil chromatography on-line monitoring device within a preset time;
the computing module is used for equally dividing all the data samples into N groups, wherein each group comprises M data samples; n is an integer greater than or equal to 1, M is an integer greater than or equal to 5;
the calculation module is further used for calculating hydrogen repeatability RSD and total hydrocarbon repeatability RSD in each group of data samples respectively;
the judging module is used for determining the stability performance of the transformer oil chromatographic online monitoring device according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD, and comprises the following steps: determining the reliability of each set of data samples according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD of each set of data samples; according to the reliability of all the group data samples, calculating the qualification rate of all the group data samples; when the qualification rate is greater than or equal to a first preset value, determining that the stability performance of the transformer oil chromatographic online monitoring device is qualified;
the determining the reliability of each set of data samples according to the hydrogen repeatability RSD and the total hydrocarbon repeatability RSD of each set of data samples comprises:
respectively calculating the average value of the hydrogen content and the average value of the total hydrocarbon content in the current group of data samples;
when the average value of the hydrogen content is smaller than or equal to a second preset value, and the hydrogen repeatability RSD of the current group of data samples is larger than 0 and smaller than or equal to a third preset value, determining that the calculation result of the hydrogen repeatability RSD in the current group of data samples is reliable;
when the average value of the hydrogen content is larger than the second preset value and the hydrogen repeatability RSD of the current group of data samples is larger than 0 and smaller than or equal to a fourth preset value, determining that the calculation result of the hydrogen repeatability RSD in the current group of data samples is reliable; the third preset value is larger than the fourth preset value;
when the average value of the total hydrocarbon content is smaller than or equal to the second preset value, and the total hydrocarbon repeatability RSD of the current group of data samples is larger than 0 and smaller than or equal to the third preset value, determining that the calculation result of the total hydrocarbon repeatability RSD in the current group of data samples is reliable;
when the average value of the total hydrocarbon content is larger than the second preset value and the total hydrocarbon repeatability RSD of the current group of data samples is larger than 0 and smaller than or equal to a fourth preset value, determining that the calculation result of the total hydrocarbon repeatability RSD in the current group of data samples is reliable;
if the calculation result of the hydrogen repeatability RSD in the current group of data samples is reliable and the calculation result of the total hydrocarbon repeatability RSD is reliable, determining that the current group of data samples is reliable;
otherwise, it is determined that the current set of data samples is unreliable.
5. A terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of the preceding claims 1 to 3 when the computer program is executed.
6. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any of the preceding claims 1 to 3.
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5659126A (en) * | 1996-04-19 | 1997-08-19 | Farber; Milton | Gas chromatograph techniques for on-line testing of transformer faults |
| CN104677997A (en) * | 2015-02-02 | 2015-06-03 | 华北电力大学 | Transformer oil chromatography online monitoring differential early warning method |
| CN105241497A (en) * | 2015-09-23 | 2016-01-13 | 国网山东省电力公司日照供电公司 | Transformer monitoring system and fault diagnosis method |
| CN106680211A (en) * | 2016-12-15 | 2017-05-17 | 国网河北省电力公司电力科学研究院 | Method for evaluating online synchronous comparing on accuracy of online monitoring device for dissolved gas in transformer oil |
| CN107831298A (en) * | 2017-09-29 | 2018-03-23 | 中国电力科学研究院 | The method and system of field-checking Gases Dissolved in Transformer Oil monitoring device performance |
| CN111241471A (en) * | 2018-11-27 | 2020-06-05 | 国网电力科学研究院武汉南瑞有限责任公司 | Transformer on-line monitoring big data distribution model construction method |
| CN111307984A (en) * | 2020-03-19 | 2020-06-19 | 杭州意能电力技术有限公司 | On-site calibration system for dissolved gas on-line monitoring device in insulating oil |
| CN112083046A (en) * | 2020-07-30 | 2020-12-15 | 中国电力科学研究院有限公司 | Platform and method for detecting hydrogen monitoring device |
| CN113902181A (en) * | 2021-09-28 | 2022-01-07 | 国网河北省电力有限公司营销服务中心 | Short-term prediction method and equipment for common variable heavy overload |
| CN114354783A (en) * | 2021-12-17 | 2022-04-15 | 国网电力科学研究院武汉南瑞有限责任公司 | Health degree evaluation method of extra-high voltage oil chromatography monitoring device based on-operation data |
| WO2022151880A1 (en) * | 2021-01-14 | 2022-07-21 | 株洲国创轨道科技有限公司 | System and method for detecting gas in transformer oil, and system for detecting fault in transformer |
| CN115032323A (en) * | 2022-06-06 | 2022-09-09 | 云南电网有限责任公司电力科学研究院 | Method for determining oil chromatography data abnormity, electronic equipment and storage medium |
-
2022
- 2022-09-13 CN CN202211111631.1A patent/CN115290798B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5659126A (en) * | 1996-04-19 | 1997-08-19 | Farber; Milton | Gas chromatograph techniques for on-line testing of transformer faults |
| CN104677997A (en) * | 2015-02-02 | 2015-06-03 | 华北电力大学 | Transformer oil chromatography online monitoring differential early warning method |
| CN105241497A (en) * | 2015-09-23 | 2016-01-13 | 国网山东省电力公司日照供电公司 | Transformer monitoring system and fault diagnosis method |
| CN106680211A (en) * | 2016-12-15 | 2017-05-17 | 国网河北省电力公司电力科学研究院 | Method for evaluating online synchronous comparing on accuracy of online monitoring device for dissolved gas in transformer oil |
| CN107831298A (en) * | 2017-09-29 | 2018-03-23 | 中国电力科学研究院 | The method and system of field-checking Gases Dissolved in Transformer Oil monitoring device performance |
| CN111241471A (en) * | 2018-11-27 | 2020-06-05 | 国网电力科学研究院武汉南瑞有限责任公司 | Transformer on-line monitoring big data distribution model construction method |
| CN111307984A (en) * | 2020-03-19 | 2020-06-19 | 杭州意能电力技术有限公司 | On-site calibration system for dissolved gas on-line monitoring device in insulating oil |
| CN112083046A (en) * | 2020-07-30 | 2020-12-15 | 中国电力科学研究院有限公司 | Platform and method for detecting hydrogen monitoring device |
| WO2022151880A1 (en) * | 2021-01-14 | 2022-07-21 | 株洲国创轨道科技有限公司 | System and method for detecting gas in transformer oil, and system for detecting fault in transformer |
| CN113902181A (en) * | 2021-09-28 | 2022-01-07 | 国网河北省电力有限公司营销服务中心 | Short-term prediction method and equipment for common variable heavy overload |
| CN114354783A (en) * | 2021-12-17 | 2022-04-15 | 国网电力科学研究院武汉南瑞有限责任公司 | Health degree evaluation method of extra-high voltage oil chromatography monitoring device based on-operation data |
| CN115032323A (en) * | 2022-06-06 | 2022-09-09 | 云南电网有限责任公司电力科学研究院 | Method for determining oil chromatography data abnormity, electronic equipment and storage medium |
Non-Patent Citations (4)
| Title |
|---|
| Chemical Sensing Strategies for Real-Time Monitoring of Transformer Oil: A Review;C. Sun etc;IEEE Sensors Journal;第17卷(第18期);第5786-5806页 * |
| 变电设备数据质量评价模型研究;王峰;广东电力;第33卷(第3期);第17-25页 * |
| 空气发生器用于油色谱在线监测装置的应用研究;李学锋;高博;张庆平;闫振华;罗海荣;王一波;;宁夏电力(04);第58-62，68页 * |
| 绝缘油色谱在线监测装置性能的综合比较;何清;王瑞珍;;湖北电力(S1);第38-41页 * |
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