CN112072791B - GIS equipment gas leakage judgment method and device, electronic equipment and storage medium - Google Patents
GIS equipment gas leakage judgment method and device, electronic equipment and storage medium Download PDFInfo
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- CN112072791B CN112072791B CN202010928590.XA CN202010928590A CN112072791B CN 112072791 B CN112072791 B CN 112072791B CN 202010928590 A CN202010928590 A CN 202010928590A CN 112072791 B CN112072791 B CN 112072791B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02B—BOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
- H02B13/00—Arrangement of switchgear in which switches are enclosed in, or structurally associated with, a casing, e.g. cubicle
- H02B13/02—Arrangement of switchgear in which switches are enclosed in, or structurally associated with, a casing, e.g. cubicle with metal casing
- H02B13/035—Gas-insulated switchgear
- H02B13/065—Means for detecting or reacting to mechanical or electrical defects
Abstract
The application belongs to the technical field of power equipment, and relates to a GIS equipment gas leakage judgment method, which comprises the following steps: acquiring a daily surface weighted average temperature value of each GIS sleeve and a pressure value of SF6 gas corresponding to the surface weighted average temperature value in a first preset time period to form basic curve data of the surface weighted average temperature value and the pressure value of each GIS sleeve; acquiring actual data of each GIS casing at a plurality of special time points every day; calculating a pressure change rate parameter, a plurality of GIS sleeve average change rate parameters and a deviation rate of each GIS sleeve in each GIS sleeve every day according to actual data and basic curve data of each GIS sleeve; and when the deviation rate of each GIS sleeve is greater than the preset parameter value in the second preset time period, judging the SF6 gas leakage in the corresponding GIS sleeve. The GIS sleeve surface average temperature and histogram statistics are adopted, and the average temperature of the equipment surface is truly reflected.
Description
Technical Field
The invention relates to the technical field of power equipment, in particular to a method and a device for judging gas leakage of GIS equipment.
Background
An SF6 totally-enclosed Switchgear (GIS for short) is widely used due to small floor space, safe and reliable operation, long maintenance period and convenient installation. The GIS equipment achieves the insulation effect by relying on SF6 gas in a tank body, SF6 has high insulation strength which is 3 times of air under atmospheric pressure due to excellent arc extinguishing performance, particularly, when SF6 gas is dissociated due to discharge or electric arc action, the heat conduction performance is good and the gas is easy to compound, so the insulation performance of the GIS equipment is directly influenced by the pressure of the SF6 gas, generally, the pressure of the SF6 gas in an arc extinguishing gas chamber is rated as 0.5 +/-0.02 MPa, and the alarm value is 0.45 MPa.
The conventional method for monitoring the pressure of SF6 gas in the SF6 totally-enclosed combined electrical apparatus and judging whether leakage exists at present comprises the following steps:
and (3) manual inspection mode: the method comprises the following steps that an operator on duty regularly copies data of each pressure gauge, records environmental temperature, generates a curve of the environmental temperature and the data of the pressure gauge, manually judges the relation between the pressure and the environmental temperature, and further judges whether SF6 leaks, however, the method has the following problems: 1) scale measurement problem: the operation experience is a technical capability for ensuring the safe operation of the equipment, but the accumulation process of the operation experience has singleness, and once personnel change, the experience loss can be caused, so that the problems cause difficulty in grasping the state of the operation equipment and indirectly cause higher management cost; 2) problem of raw data accumulation: because the accumulation of the original data and information of the equipment running state is insufficient, useful auxiliary data cannot be provided for the prevention and elimination of accidents; 3) labor intensity, labor cost: for example, a certain operation and maintenance shift manager needs to arrange the manual routine patrol 92 times per month according to the regulations, and arranges 276 workers in total, which requires great labor cost.
Automatic mode of patrolling and examining of robot: the robot regularly identifies the data of each pressure gauge, judges whether the numerical value of each pressure gauge exceeds the upper limit or is lower than the lower limit, and then carries out alarm processing according to a preset threshold, and the method has the following problems: and the robot intelligently judges whether the pressure is normal according to the recognized reading machine. And whether leakage exists or not is judged accurately.
In addition, the two methods cannot find out the leakage phenomenon of the SF6 gas in the GIS casing in time, and particularly cannot help the leakage of the gas is small.
Disclosure of Invention
The embodiment of the application aims to provide a method and a device for judging gas leakage of GIS equipment, electronic equipment and a storage medium, wherein the method and the device can realize automatic monitoring and can effectively judge whether SF6 gas leaks in a GIS sleeve.
In order to solve the above technical problem, an embodiment of the present application provides a method for determining gas leakage of a GIS device, which adopts the following technical scheme:
the judging method comprises the following steps:
acquiring a daily surface weighted average temperature value of each GIS sleeve and a pressure value of SF6 gas corresponding to the surface weighted average temperature value within a first preset time period to form basic curve data of the surface weighted average temperature value and the pressure value of each GIS sleeve;
acquiring actual data of each GIS casing at a plurality of special time points every day;
calculating a pressure change rate parameter, an average change rate parameter of a plurality of GIS sleeves and a deviation rate of each GIS sleeve every day in each GIS sleeve according to the actual data of each GIS sleeve and the basic curve data; and
and when the deviation rate of the GIS sleeves in a second preset time period every day is greater than a preset parameter value, judging that the corresponding SF6 gas in the GIS sleeves leaks, wherein the second preset time period is less than the first preset time period.
Preferably, the obtaining of the daily surface weighted average temperature value of each GIS bushing and the pressure value of the SF6 gas corresponding to the surface weighted average temperature value within the first preset time period, and forming basic curve data of the surface weighted average temperature value and the pressure value of each GIS bushing specifically includes the following steps:
acquiring a surface temperature matrix of each GIS sleeve at a plurality of preset time points every day in a first preset time period and corresponding pressure values of SF6 gas;
calculating a surface temperature value according to the surface temperature matrix to obtain a surface maximum temperature value t in the surface temperature matrixmaxAnd a surface minimum temperature value tmin；
Calculating the sum of all surface temperature values of a plurality of preset time points of each GIS sleeve every day within the first preset time period, wherein the surface temperature value is less than or equal to a first preset temperature value and is greater than or equal to a second preset temperature value, and the sum is TallAnd simultaneously recording the number of the surface temperature values which are greater than or equal to the preset temperature value as N, wherein the first preset temperature value is as follows: (t)min+(tmax-tmin) X 0.8, the second preset temperature value is: (t)min+(tmax-tmin)×0.2；
Calculating the daily surface weighted average temperature value T of each GIS sleeveave，Tave＝TallN; and
and forming corresponding basic curve data of the surface weighted average temperature value and the pressure value of the GIS sleeve according to the daily surface weighted average temperature value of each GIS sleeve and the pressure value of the SF6 gas.
Preferably, the acquiring actual data of each GIS casing at a plurality of specific time points of each day specifically comprises the following steps:
acquiring the surface maximum temperature value T of each GIS sleeve at the first specific time point of each dayx1And corresponding pressure value P of SF6 gasy3Surface maximum temperature value T at a second specific point in time of dayx2And corresponding pressure value P of SF6 gasy4The first ad hoc time point and the second ad hoc time point are not repeated; and
reading the surface maximum temperature value T of the first special time point according to the basic curve datax1Corresponding pressure value Py1And the maximum surface temperature T at the second specific time pointx2Corresponding pressure value Py2。
Preferably, the step of calculating the pressure change rate parameter of each GIS casing, the average change rate parameter of a plurality of GIS casings and the deviation rate of each GIS casing according to the actual data of each GIS casing and the basic curve data specifically comprises the following steps:
calculating the pressure change rate parameter W of each GIS sleeven，
Wn＝(Py2-Py4)/Py2*500+(Py1-Py3)/Py1*500；
Calculating the average change rate W of the plurality of GIS sleevesave＝∑Wn/n；
Calculating the deviation rate of each GIS sleeve as follows: (W)n-Wave)/Wave。
A GIS equipment gas leakage judgment device comprises:
the first acquisition module is used for acquiring the daily surface weighted average temperature value of each GIS sleeve and the pressure value of SF6 gas corresponding to the surface weighted average temperature value in a first preset time period to form basic curve data of the surface weighted average temperature value and the pressure value of each GIS sleeve;
the second acquisition module is used for acquiring actual data of each GIS sleeve at a plurality of special time points every day;
the calculation module is used for calculating a pressure change rate parameter of each GIS sleeve, an average change rate parameter of a plurality of GIS sleeves and a deviation rate of each GIS sleeve according to the actual data of each GIS sleeve and the basic curve data; and
and the judging module is used for judging the SF6 gas leakage in the corresponding GIS sleeve when the deviation rate of the GIS sleeve every day in a second preset time period is greater than a preset parameter value, wherein the second preset time period is less than the first preset time period.
Preferably, the first obtaining module includes:
the first acquisition unit is used for acquiring a surface temperature matrix of each GIS sleeve at a plurality of preset time points every day in a first preset time period and corresponding pressure values of SF6 gas;
a first calculating unit for calculating a surface temperature value according to the surface temperature matrix to obtain a surface maximum temperature value t in the surface temperature matrixmaxAnd a surface minimum temperature value tmin；
A second calculating unit, configured to calculate, as T, a sum of all surface temperature values at a plurality of preset time points of each GIS bushing per day in the first preset time period, where the sum of all surface temperature values is less than or equal to the first preset temperature value and is greater than or equal to the second preset temperature valueallAnd simultaneously recording the number of the surface temperature values which are greater than or equal to the preset temperature value as N, wherein the first preset temperature value is as follows: (t)min+(tmax-tmin) X 0.8, the second preset temperature value is: (t)min+(tmax-tmin)×0.2；
A third calculating unit for calculating the daily surface weighted average temperature T of each GIS sleeveave，Tave＝TallN; and
and the forming unit is used for forming corresponding basic curve data of the surface weighted average temperature value and the pressure value of the GIS sleeve according to the daily surface weighted average temperature value of each GIS sleeve and the pressure value of the SF6 gas.
Preferably, the second obtaining module includes:
a second obtaining unit for obtaining the surface maximum temperature value T of each GIS sleeve at the first specific time point of each dayx1And corresponding pressure value P of SF6 gasy3Surface maximum temperature value T at a second specific point in time of dayx2And corresponding pressure value P of SF6 gasy4The first ad hoc time point and the second ad hoc time point are not repeated;
a reading unit for reading the surface maximum temperature value T of the first specific time point according to the basic curve datax1Corresponding pressure value Py1And the maximum surface temperature T at the second specific time pointx2Corresponding pressure value Py2。
The calculation module comprises:
a fourth calculation unit for calculating a pressure change rate parameter W for each day,
W＝(Py2-Py4)/Py2*700+(Py1-Py3)/Py1*300；
a fifth calculating unit for calculating the average change rate W of the plurality of GIS sleevesave＝∑WnN; and
a sixth calculating unit, configured to calculate a deviation ratio of each GIS bushing as follows: (W)n-Wave)/Wave。
An electronic device, characterized in that the electronic device comprises:
a memory storing at least one instruction; and
and the processor executes the instructions stored in the memory to realize the GIS equipment gas leakage judging method.
A computer readable storage medium having at least one instruction stored therein, the at least one instruction being executed by a processor in an electronic device to implement the method for determining a gas leakage of a GIS device.
Compared with the prior art, the embodiment of the application mainly has the following beneficial effects: the invention provides a method for judging gas leakage of GIS equipment, which comprises the steps of obtaining a daily surface weighted average temperature value and a corresponding pressure value of each GIS sleeve in a first preset time period to form basic curve data, then obtaining daily actual data of each GIS sleeve, calculating a pressure change rate parameter of each GIS sleeve, an average change rate parameter of a plurality of GIS sleeves and a deviation rate of each GIS sleeve according to the actual data and the basic curve, and then judging whether SF6 gas in the corresponding GIS sleeve leaks or not according to the deviation rate of each GIS sleeve; the GIS sleeve surface average temperature is adopted, temperature numerical values of all points in a temperature matrix are not adopted, in histogram statistics, 20% of high-temperature section points and 20% of low-temperature section points are removed, the average value of temperature data in the middle 60% of temperature sections is used as the surface average numerical value, and the average temperature of the surface of equipment is really reflected; the numerical value change of the pressure under different temperature conditions is formed and taken down, and the standard temperature-pressure curve is formed by adopting the advantages of electronic equipment such as automatic inspection of a robot, so that the pressure state of the equipment to be tested is effectively reflected, and the accuracy is high.
Drawings
In order to more clearly illustrate the solution of the present application, the drawings needed for describing the embodiments of the present application will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained by those skilled in the art without inventive effort.
Fig. 1 is a flowchart of an embodiment of a method of determining gas leakage of a GIS device according to the present application;
FIG. 2 is a flowchart of one embodiment of step S100 of FIG. 1;
FIG. 3 is a flowchart of one embodiment of step S110 of FIG. 1;
fig. 4 is a schematic structural diagram of an embodiment of a gas leakage judging device of a GIS apparatus according to the present application;
FIG. 5 is a schematic diagram of one embodiment of a first acquisition module shown in FIG. 4;
FIG. 6 is a schematic diagram of one embodiment of a second acquisition module shown in FIG. 4;
fig. 7 is a schematic structural diagram of an electronic device according to a preferred embodiment of the method for determining gas leakage of a GIS device of the present invention.
Detailed Description
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "including" and "having," and any variations thereof, in the description and claims of this application and the description of the above figures are intended to cover non-exclusive inclusions. The terms "first," "second," and the like in the description and claims of this application or in the above-described drawings are used for distinguishing between different objects and not for describing a particular order.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.
Fig. 1 is a flow chart of a method for determining gas leakage of a GIS device according to a preferred embodiment of the present invention. According to different requirements, the sequence of the steps in the flow chart can be changed, certain steps can be omitted, and in addition, the GIS equipment comprises a plurality of GIS casings, and SF6 gas is stored in each casing.
The method for judging gas leakage of the GIS device is applied to one or more electronic devices, wherein the electronic devices are devices capable of automatically performing numerical calculation and/or information processing according to preset or stored instructions, and the hardware thereof includes, but is not limited to, a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), an embedded device, and the like.
The electronic device may be any electronic product capable of performing human-computer interaction with a user, for example, a Personal computer, a tablet computer, a smart phone, a Personal Digital Assistant (PDA), a game machine, an interactive Internet Protocol Television (IPTV), an intelligent wearable device, and the like.
The electronic device may also include a network device and/or a user device. The network device includes, but is not limited to, a single network server, a server group consisting of a plurality of network servers, or a cloud computing (cloud computing) based cloud consisting of a large number of hosts or network servers.
S100, acquiring a daily surface weighted average temperature value of each GIS sleeve and a pressure value of SF6 gas corresponding to the surface weighted average temperature value within a first preset time period, and forming basic curve data of the surface weighted average temperature value and the pressure value of each GIS sleeve;
in the embodiment of the present invention, the first preset time period may be set according to experience, for example, the time period may be 360 days, 270 days, and the like, but is not limited to the number of days for example, the longer the time selection is, the higher the accuracy is, the surface temperature of the GIS bushing is in a temperature matrix collected by a thermal infrared imager, and a surface weighted average temperature value is calculated by the temperature matrix, where the collection may be obtained by a pre-calibrated range of the surface of the GIS bushing, and the pre-calibration may also be obtained according to experience or after several experiments, and in addition, the pressure value of the composite apparatus SF6 may be collected by a high definition camera.
S110, acquiring actual data of each GIS sleeve at a plurality of special time points every day;
s120, calculating a pressure change rate parameter, an average change rate parameter of a plurality of GIS sleeves and a deviation rate of each GIS sleeve every day in each GIS sleeve according to the actual data of each GIS sleeve and the basic curve data;
and S130, judging the SF6 gas leakage in the corresponding GIS sleeve when the deviation rate of the GIS sleeve every day in a second preset time period is greater than a preset parameter value, wherein the second preset time period is less than the first preset time period.
In the embodiment of the present invention, the second preset time period is also empirically or preset, and the second preset time period may be 3 days, 5 days, etc., but is not limited to the exemplified number of days; in addition, the preset parameters are set in advance according to empirical values, such as 0.5, but not limited thereto, and are defined according to specific equipment conditions.
The method realizes automatic monitoring, after basic curve data are formed by acquiring the daily surface weighted average temperature value and the corresponding pressure value of each GIS sleeve in a first preset time period, the daily actual data of each GIS sleeve are acquired, the pressure change rate parameter of each GIS sleeve, the average change rate parameter of a plurality of GIS sleeves and the deviation rate of each GIS sleeve can be calculated according to the actual data and the basic curve, and whether the SF6 gas in the corresponding GIS sleeve leaks or not is judged according to the deviation rate of each GIS sleeve.
Fig. 2 is a flowchart of an embodiment of step S100, in this embodiment, step S100 specifically includes the following steps:
s101, acquiring a surface temperature matrix of each GIS sleeve at a plurality of preset time points every day in a first preset time period and a corresponding pressure value of SF6 gas;
in this embodiment, the first preset time period may be set empirically, for example, 360 days, 270 days, and the like, but is not limited to the number of days for example, the longer the time selection is, the higher the accuracy is, the GIS casing surface temperature is in a temperature matrix collected by a thermal infrared imager, and a surface weighted average temperature value is calculated by the temperature matrix, where the collection may be obtained by a pre-calibrated range of the GIS casing surface, and the pre-calibration may also be obtained empirically or after several experiments, and in addition, the combined electrical appliance SF6 pressure value may be collected by a high definition camera.
S102, calculating a surface temperature value according to the surface temperature matrix to obtain a surface maximum temperature value t in the surface temperature matrixmaxAnd a surface minimum temperature value tmin；
In this embodiment, the infrared thermal imager acquires a surface image of the GIS bushing, for example, 320 × 240 resolution, and obtains 320 × 240 different temperature values according to different colors on the image, that is, a maximum surface temperature value tmaxAnd a surface minimum temperature value tmin。
S103, calculating all surface temperature values of a plurality of preset time points of each GIS sleeve every day within the first preset time period, wherein the surface temperature values are less than or equal to a first preset temperature value and more than or equal to a second preset temperature valueThe sum of the surface temperature values of the preset temperature values is TallAnd simultaneously recording the number of the surface temperature values which are greater than or equal to the preset temperature value as N, wherein the first preset temperature value is as follows: (t)min+(tmax-tmin) X 0.8, the second preset temperature value is: (t)min+(tmax-tmin)×0.2；
S104, calculating the daily surface weighted average temperature value T of each GIS sleeveave，Tave＝TallN; and
and S105, forming basic curve data of the surface weighted average temperature value and the pressure value of the corresponding GIS sleeve according to the daily surface weighted average temperature value of each GIS sleeve and the pressure value of the SF6 gas.
Fig. 3 is a flowchart of an embodiment of step S110, in this embodiment, step S110 specifically includes the following steps:
s111, acquiring the surface maximum temperature value T of each GIS sleeve at the first special time point of each dayx1And corresponding pressure value P of SF6 gasy3Surface maximum temperature value T at a second specific point in time of dayx2And corresponding pressure value P of SF6 gasy4The first ad hoc time point and the second ad hoc time point are not repeated; and
in an embodiment of the present invention, the first ad hoc time point may be 2 am and the second ad hoc time point may be 2 pm, but is not limited to this time point.
S112, reading the surface highest temperature value T of the first special time point according to the basic curve datax1Corresponding pressure value Py1And the maximum surface temperature T at the second specific time pointx2Corresponding pressure value Py2。
In the embodiment of the invention, the calculation of the daily pressure change rate parameter in each GIS sleeve, the average change rate parameter of a plurality of GIS sleeves and the deviation rate of each GIS sleeve according to the actual data and the basic curve data of each GIS sleeve specifically comprises the following steps:
calculating the pressure change rate of each GIS sleeveParameter Wn，
Wn＝(Py2-Py4)/Py2*500+(Py1-Py3)/Py1*500；
Calculating the average change rate W of the plurality of GIS sleevesave＝∑Wn/n；
Calculating the deviation rate of each GIS sleeve as follows: (W)n-Wave)/Wave。
As an implementation of the method shown in fig. 1, the present application provides a schematic structural diagram of an embodiment of a device for determining gas leakage of a GIS device, where the embodiment of the device corresponds to the embodiment of the method shown in fig. 1, and the device is particularly applicable to various electronic devices.
As shown in fig. 4, the gas leakage determination device 200 for the GIS apparatus according to the present embodiment includes:
the first obtaining module 210 is configured to obtain a daily surface weighted average temperature value of each GIS bushing and a pressure value of SF6 gas corresponding to the surface weighted average temperature value within a first preset time period, and form basic curve data of the surface weighted average temperature value and the pressure value of each GIS bushing;
in the embodiment of the present invention, the first preset time period may be set according to experience, for example, the time period may be 360 days, 270 days, and the like, but is not limited to the number of days for example, the longer the time selection is, the higher the accuracy is, the surface temperature of the GIS bushing is in a temperature matrix collected by a thermal infrared imager, and a surface weighted average temperature value is calculated by the temperature matrix, where the collection may be obtained by a pre-calibrated range of the surface of the GIS bushing, and the pre-calibration may also be obtained according to experience or after several experiments, and in addition, the pressure value of the composite apparatus SF6 may be collected by a high definition camera.
The second obtaining module 220 is configured to obtain actual data of each GIS casing at a plurality of specific time points each day;
the calculation module 230 is configured to calculate a pressure change rate parameter of each GIS casing, an average change rate parameter of a plurality of GIS casings, and a deviation rate of each GIS casing according to the actual data of each GIS casing and the basic curve data; and
and the judging module 240 is configured to judge that SF6 gas leaks from the corresponding GIS casing when the deviation rate of the GIS casing per day in a second preset time period is greater than a preset parameter value, where the second preset time period is less than the first preset time period.
In the embodiment of the present invention, the second preset time period is also empirically or preset, and the second preset time period may be 3 days, 5 days, etc., but is not limited to the exemplified number of days; in addition, the preset parameters are set in advance according to empirical values, such as 0.5, but not limited thereto, and are defined according to specific equipment conditions.
In an embodiment of the present invention, please refer to fig. 5, which is a schematic structural diagram of a specific implementation manner of a first obtaining module 210, where the first obtaining module 210 includes:
the first obtaining unit 211 is configured to obtain a surface temperature matrix of each GIS bushing at a plurality of preset time points of each day in a first preset time period and a corresponding pressure value of SF6 gas;
in this embodiment, the first preset time period may be set empirically, for example, 360 days, 270 days, and the like, but is not limited to the number of days for example, the longer the time selection is, the higher the accuracy is, the GIS casing surface temperature is in a temperature matrix collected by a thermal infrared imager, and a surface weighted average temperature value is calculated by the temperature matrix, where the collection may be obtained by a pre-calibrated range of the GIS casing surface, and the pre-calibration may also be obtained empirically or after several experiments, and in addition, the combined electrical appliance SF6 pressure value may be collected by a high definition camera.
A first calculating unit 212, configured to calculate a surface temperature value according to the surface temperature matrix, so as to obtain a surface maximum temperature value t in the surface temperature matrixmaxAnd a surface minimum temperature value tmin；
In this embodiment, the thermal infrared imager acquires a surface image of the GIS bushing, for example, a resolution of 320 × 240, and obtains 320 × 240 different temperature values according to different colors on the image, that is, the maximum temperature of the surface can be obtainedValue tmaxAnd a surface minimum temperature value tmin。
A second calculating unit 213, configured to calculate a sum of all surface temperature values at a plurality of preset time points of each GIS bushing per day in the first preset time period, where the sum of all surface temperature values is equal to or less than the first preset temperature value and is equal to or greater than the second preset temperature value, as TallAnd simultaneously recording the number of the surface temperature values which are greater than or equal to the preset temperature value as N, wherein the first preset temperature value is as follows: (t)min+(tmax-tmin) X 0.8, the second preset temperature value is: (t)min+(tmax-tmin)×0.2；
A third calculating unit 214 for calculating a daily surface weighted average temperature value T for each GIS bushingave，Tave＝TallN; and
and the forming unit 215 is configured to form basic curve data of the surface weighted average temperature value and the pressure value of the corresponding GIS bushing according to the daily surface weighted average temperature value of each GIS bushing and the pressure value of the SF6 gas.
In an embodiment of the present invention, please refer to fig. 6, which is a schematic structural diagram illustrating a specific implementation manner of a second obtaining module 220, where the second obtaining module 220 includes:
a second obtaining unit 221, configured to obtain a maximum surface temperature value T of each GIS casing at a first specific time point of each dayx1And corresponding pressure value P of SF6 gasy3Surface maximum temperature value T at a second specific point in time of dayx2And corresponding pressure value P of SF6 gasy4The first ad hoc time point and the second ad hoc time point are not repeated;
in an embodiment of the present invention, the first ad hoc time point may be 2 am and the second ad hoc time point may be 2 pm, but is not limited to this time point.
A reading unit 222, configured to read a highest surface temperature value T at the first specific time point according to the basic curve datax1Corresponding pressure value Py1And the maximum surface temperature T at the second specific time pointx2Corresponding pressure value Py2。
In this embodiment, the calculation module includes:
a fourth calculation unit for calculating a pressure change rate parameter W for each dayn，
Wn＝(Py2-Py4)/Py2*500+(Py1-Py3)/Py1*500；
A fifth calculating unit for calculating the average change rate W of the plurality of GIS sleevesave＝∑WnN; and
a sixth calculating unit, configured to calculate a deviation ratio of each GIS bushing as follows: (W)n-Wave)/Wave。
Fig. 7 is a schematic structural diagram of an electronic device implementing a data determination method according to a preferred embodiment of the present invention. The electronic device 1 is a device capable of automatically performing numerical calculation and/or information processing according to a preset or stored instruction, and its hardware includes, but is not limited to, a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), an embedded device, and the like.
The electronic device 1 may also be, but not limited to, any electronic product that can perform human-computer interaction with a user through a keyboard, a mouse, a remote controller, a touch panel, or a voice control device, for example, a Personal computer, a tablet computer, a smart phone, a Personal Digital Assistant (PDA), a game machine, an Internet Protocol Television (IPTV), an intelligent wearable device, a robot, and the like.
The electronic device 1 may also be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices.
The Network where the electronic device 1 is located includes, but is not limited to, the internet, a wide area Network, a metropolitan area Network, a local area Network, a Virtual Private Network (VPN), and the like.
In one embodiment of the present invention, the electronic device 1 includes, but is not limited to, a memory 12, a processor 13, and a computer program, such as a data determination program, stored in the memory 12 and executable on the processor 13.
It will be appreciated by those skilled in the art that the schematic diagram is merely an example of the electronic device 1, and does not constitute a limitation of the electronic device 1, and may include more or less components than those shown, or combine some components, or different components, for example, the electronic device 1 may further include an input-output device, a network access device, a bus, etc.
The Processor 13 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The processor 13 is an operation core and a control center of the electronic device 1, and is connected to each part of the whole electronic device 1 by various interfaces and lines, and executes an operating system of the electronic device 1 and various installed application programs, program codes, and the like.
The processor 13 executes an operating system of the electronic device 1 and various installed application programs. The processor 13 executes the application program to implement the steps in the above-mentioned data determination method embodiments, such as steps S100, S110, S120, and S130 shown in fig. 1.
Alternatively, the processor 13, when executing the computer program, implements the functions of the modules/units in the above device embodiments, for example: acquiring a daily surface weighted average temperature value of each GIS sleeve and a pressure value of SF6 gas corresponding to the surface weighted average temperature value within a first preset time period to form basic curve data of the surface weighted average temperature value and the pressure value of each GIS sleeve; acquiring actual data of each GIS casing at a plurality of special time points every day; calculating a pressure change rate parameter, an average change rate parameter of a plurality of GIS sleeves and a deviation rate of each GIS sleeve every day in each GIS sleeve according to the actual data of each GIS sleeve and the basic curve data; and when the deviation rate of the GIS sleeves in each day in a second preset time period is greater than a preset parameter value, judging the SF6 gas leakage in the corresponding GIS sleeves, wherein the second preset time period is less than the first preset time period.
Illustratively, the computer program may be partitioned into one or more modules/units, which are stored in the memory 12 and executed by the processor 13 to implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program in the electronic device 1. For example, the computer program may be divided into a first acquisition module 210, a second acquisition module 220, a calculation module 230, and a determination module 240.
The memory 12 can be used for storing the computer programs and/or modules, and the processor 13 implements various functions of the electronic device 1 by running or executing the computer programs and/or modules stored in the memory 12 and calling data stored in the memory 12. The memory 12 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 12 may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The memory 12 may be an external memory and/or an internal memory of the electronic device 1. Further, the memory 12 may be a circuit having a memory function without any physical form In the integrated circuit, such as a RAM (Random-access memory), a FIFO (First In First Out), and the like. Alternatively, the memory 12 may be a memory in a physical form, such as a memory stick, a TF Card (Trans-flash Card), or the like.
The integrated modules/units of the electronic device 1 may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented.
Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, etc. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
In conjunction with fig. 1, the memory 12 in the electronic device 1 stores a plurality of instructions to implement a data determination method, and the processor 13 may execute the plurality of instructions to implement: acquiring a daily surface weighted average temperature value of each GIS sleeve and a pressure value of SF6 gas corresponding to the surface weighted average temperature value within a first preset time period to form basic curve data of the surface weighted average temperature value and the pressure value of each GIS sleeve; acquiring actual data of each GIS casing at a plurality of special time points every day; calculating a pressure change rate parameter, an average change rate parameter of a plurality of GIS sleeves and a deviation rate of each GIS sleeve every day in each GIS sleeve according to the actual data of each GIS sleeve and the basic curve data; and judging the SF6 gas leakage in the corresponding GIS sleeve when the deviation rate of the GIS sleeve every day in a second preset time period is greater than a preset parameter value, wherein the second preset time period is less than the first preset time period.
According to a preferred embodiment of the present invention, the processor 13 further executes a plurality of instructions including:
acquiring a surface temperature matrix of each GIS sleeve at a plurality of preset time points every day in a first preset time period and corresponding pressure values of SF6 gas;
calculating a surface temperature value according to the surface temperature matrix to obtain a surface maximum temperature value t in the surface temperature matrixmaxAnd a surface minimum temperature value tmin；
Calculating the sum of all surface temperature values of a plurality of preset time points of each GIS sleeve every day within the first preset time period, wherein the surface temperature value is less than or equal to a first preset temperature value and is greater than or equal to a second preset temperature value, and the sum is TallAnd simultaneously recording the number of the surface temperature values which are greater than or equal to the preset temperature value as N, wherein the first preset temperature value is as follows: (t)min+(tmax-tmin) X 0.8, the second preset temperature value is: (t)min+(tmax-tmin)×0.2；
Calculating the daily surface weighted average temperature value T of each GIS sleeveave，Tave＝TallN; and
and forming corresponding basic curve data of the surface weighted average temperature value and the pressure value of the GIS sleeve according to the daily surface weighted average temperature value of each GIS sleeve and the pressure value of the SF6 gas.
According to a preferred embodiment of the present invention, the processor 13 further executes a plurality of instructions including:
acquiring the surface maximum temperature value T of each GIS sleeve at the first specific time point of each dayx1And corresponding pressure value P of SF6 gasy3Surface maximum temperature value T at a second specific point in time of dayx2And corresponding pressure value P of SF6 gasy4The first ad hoc time point and the second ad hoc time point are not repeated;
reading the surface maximum temperature value T of the first special time point according to the basic curve datax1Corresponding pressure value Py1And the maximum surface temperature T at the second specific time pointx2Corresponding pressure value Py2。
According to a preferred embodiment of the present invention, the processor 13 further executes a plurality of instructions including:
calculating the pressure change rate parameter W of each GIS sleeven，
Wn＝(Py2-Py4)/Py2*500+(Py1-Py3)/Py1*500；
Calculating the average change rate W of the GIS sleevesave＝∑Wn/n；
Calculating the deviation rate of each GIS sleeve as follows: (W)n-Wave)/Wave。
Specifically, the processor 13 may refer to the description of the relevant steps in the embodiment corresponding to fig. 1 for a specific implementation method of the instruction, which is not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules 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 modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It is to be understood that the above-described embodiments are merely illustrative of some, but not restrictive, of the broad invention, and that the appended drawings illustrate preferred embodiments of the invention and do not limit the scope of the invention. This application is capable of embodiments in many different forms and is provided for the purpose of enabling a thorough understanding of the disclosure of the application. Although the present application has been described in detail with reference to the foregoing embodiments, it will be apparent to one skilled in the art that the present application may be practiced without modification or with equivalents of some of the features described in the foregoing embodiments. All equivalent structures made by using the contents of the specification and the drawings of the present application are directly or indirectly applied to other related technical fields and are within the protection scope of the present application.
Claims (4)
1. A method for judging gas leakage of GIS equipment, wherein the GIS equipment comprises a plurality of GIS sleeves, SF6 gas is stored in each GIS sleeve, and the method for judging gas leakage of GIS equipment is characterized by comprising the following steps:
acquiring a daily surface weighted average temperature value of each GIS sleeve and a pressure value of SF6 gas corresponding to the surface weighted average temperature value within a first preset time period to form basic curve data of the surface weighted average temperature value and the pressure value of each GIS sleeve;
acquiring actual data of each GIS casing at a plurality of special time points every day;
calculating a pressure change rate parameter of each GIS sleeve, an average change rate parameter of a plurality of GIS sleeves and a deviation rate of each GIS sleeve every day according to the actual data of each GIS sleeve and the basic curve data;
judging that SF6 gas in the corresponding GIS sleeve leaks when the deviation rate of the GIS sleeve every day in a second preset time period is greater than a preset parameter value, wherein the second preset time period is less than the first preset time period; the method for obtaining the surface weighted average temperature value of each GIS sleeve every day in the first preset time period and the pressure value of SF6 gas corresponding to the surface weighted average temperature value to form basic curve data of the surface weighted average temperature value and the pressure value of each GIS sleeve specifically comprises the following steps:
acquiring a surface temperature matrix of each GIS sleeve at a plurality of preset time points every day in a first preset time period and corresponding pressure values of SF6 gas;
calculating a surface temperature value according to the surface temperature matrix to obtain a surface maximum temperature value t in the surface temperature matrixmaxAnd a surface minimum temperature value tmin；
Calculating the sum of all surface temperature values of a plurality of preset time points of each GIS sleeve every day within the first preset time period, wherein the surface temperature value is less than or equal to a first preset temperature value and is greater than or equal to a second preset temperature value, and the sum is TallAnd simultaneously recording the number of the surface temperature values which are greater than or equal to the preset temperature value as N, wherein the first preset temperature value is as follows: (t)min+(tmax-tmin) X 0.8), the second preset temperature value being: (t)min+(tmax-tmin)×0.2)；
Calculating the daily surface weighted average temperature value T of each GIS sleeveave，Tave＝TallN; and
forming basic curve data of the surface weighted average temperature value and the pressure value of the corresponding GIS sleeve according to the daily surface weighted average temperature value of each GIS sleeve and the pressure value of the SF6 gas;
the method for acquiring the actual data of each GIS casing at a plurality of special time points of each day specifically comprises the following steps:
acquiring the first special time point of each GIS sleeve in each daySurface maximum temperature value Tx1And corresponding pressure value P of SF6 gasv3Surface maximum temperature value T at a second specific point in time of dayx2And corresponding pressure value P of SF6 gasv4The first ad hoc time point and the second ad hoc time point are not repeated; and
reading the surface maximum temperature value T of the first special time point according to the basic curve datax1Corresponding pressure value Py1And the maximum surface temperature T at the second specific time pointx2Corresponding pressure value Py2；
The method for calculating the pressure change rate parameter of each GIS sleeve, the average change rate parameter of a plurality of GIS sleeves and the deviation rate of each GIS sleeve according to the actual data and the basic curve data of each GIS sleeve specifically comprises the following steps:
calculating the pressure change rate parameter W of each GIS sleeven，
Wn＝(Py2-Py4)/Py2*500+(Py1-Py3)/Py1*500；
Calculating the average change rate W of the plurality of GIS sleevesave＝∑Wn/n；
Calculating the deviation rate of each GIS sleeve as follows: (W)n-Wave)/Wave。
2. The utility model provides a GIS equipment gas leakage's judgement device, GIS equipment includes a plurality of GIS sleeves, and it is gaseous that each GIS sleeve endotheca has SF6, its characterized in that, the judgement device includes:
the first acquisition module is used for acquiring the daily surface weighted average temperature value of each GIS sleeve and the pressure value of SF6 gas corresponding to the surface weighted average temperature value in a first preset time period to form basic curve data of the surface weighted average temperature value and the pressure value of each GIS sleeve;
the second acquisition module is used for acquiring actual data of each GIS sleeve at a plurality of special time points every day;
the calculation module is used for calculating the pressure change rate parameter of each GIS sleeve, the average change rate parameter of a plurality of GIS sleeves and the deviation rate of each GIS sleeve according to the actual data of each GIS sleeve and the basic curve data; and
the judging module is used for judging SF6 gas leakage in the corresponding GIS sleeve when the deviation rate of the GIS sleeve in each day in a second preset time period is greater than a preset parameter value, wherein the second preset time period is less than the first preset time period;
the first obtaining module comprises:
the first acquisition unit is used for acquiring a surface temperature matrix of each GIS sleeve at a plurality of preset time points every day in a first preset time period and corresponding pressure values of SF6 gas;
a first calculating unit for calculating a surface temperature value according to the surface temperature matrix to obtain a surface maximum temperature value t in the surface temperature matrixmaxAnd a surface minimum temperature value tmin；
A second calculating unit, configured to calculate, as T, a sum of all surface temperature values at a plurality of preset time points of each GIS bushing per day in the first preset time period, where the sum of all surface temperature values is less than or equal to the first preset temperature value and is greater than or equal to the second preset temperature valueallAnd simultaneously recording the number of the surface temperature values which are greater than or equal to the preset temperature value as N, wherein the first preset temperature value is as follows: (t)min+(tmax-tmin) X 0.8), the second preset temperature value being: (t)min+(tmax-tmin)×0.2)；
A third calculating unit for calculating the daily surface weighted average temperature T of each GIS sleeveave，Tave＝TallN; and
the forming unit is used for forming corresponding basic curve data of the surface weighted average temperature value and the pressure value of the GIS sleeve according to the daily surface weighted average temperature value of each GIS sleeve and the pressure value of the SF6 gas;
the second acquisition module includes:
a second acquisition unit for acquiring the second time of each GIS sleeveA surface maximum temperature value T at a specific time pointx1And corresponding pressure value P of SF6 gasy3Surface maximum temperature value T at a second specific point in time of dayx2And corresponding pressure value P of SF6 gasy4The first ad hoc time point and the second ad hoc time point are not repeated;
a reading unit for reading the surface maximum temperature value T of the first specific time point according to the basic curve datax1Corresponding pressure value Py1And the maximum surface temperature T at the second specific time pointx2Corresponding pressure value Py2；
The calculation module comprises:
a fourth calculation unit for calculating a pressure change rate parameter W for each dayn，
Wn＝(Py2-Py4)/Py2*500+(Py1-Py3)/Py1*500；
A fifth calculating unit for calculating the average change rate W of the plurality of GIS sleevesave＝∑WnN; and
a sixth calculating unit, configured to calculate a deviation ratio of each GIS bushing as follows: (W)n-Wave)/Wave。
3. An electronic device, characterized in that the electronic device comprises:
a memory storing at least one instruction; and
a processor executing the instructions stored in the memory to implement the method of determining a gas leak in a GIS device of claim 1.
4. A computer-readable storage medium, characterized in that: the computer readable storage medium stores at least one instruction, and the at least one instruction is executed by a processor in an electronic device to implement the method for determining a gas leakage of a GIS device according to claim 1.
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