CN104391086A - Method and system for measuring humidity parameter of external environment of transformer - Google Patents
Method and system for measuring humidity parameter of external environment of transformer Download PDFInfo
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Abstract
The invention discloses a method and a system for measuring a humidity parameter of an external environment of a transformer. The method comprises the following steps: acquiring meteorological data measured by meteorological equipment in a meteorological station in a preset range around the transformer; establishing a corresponding relation adopting geographical parameters of the position of the meteorological station as a definition domain and adopting the humidity parameter as a value domain; within effective time, acquiring geographical parameters of the position of the transformer inputted by a user, and solving by utilizing a discrete-point interpolation method according to the geographical parameters of the position of the transformer and the corresponding relation to obtain a humidity parameter of the position of the transformer within the effective time; and when the humidity parameter of the position of the transformer is higher than a preset humidity threshold, controlling a warning module to generate humidity warning information. The method and the system disclosed by the invention have the advantages that the meteorological data of the meteorological station near the transformer is adopted as references, and the humidity parameter of the external environment of the transformer is accurately calculated by utilizing the discrete-point interpolation method, so that the problem that the accurate humidity parameter of the external environment of the transformer can not be obtained currently can be solved and reliable reference can be provided for evaluating the state of the transformer.
Description
[technical field]
The present invention relates to Transformer State Assessment technology, particularly relates to transformer external environment condition humidity parameter measuring method and system.
[background technology]
In recent years, the impact of weather condition on Operation of Electric Systems more and more receives publicity.Such as, at the beginning of 2008, south China has met with rare ice disaster not seen once in a hundred years, result in large area mains breakdown, causes serious social loss and economic loss, cause great impact to the production of the people and life.The operational reliability of transmission facility and the weather environment residing for transmission facility closely related, under different meteorological conditions, the probability of device fails is different.
Transformer is the visual plant of generating plant and transformer station, easily various faults occurs in operation, and wherein humidified insulation is the one of the main reasons causing insulation fault.Cause transformer insulated most immediate cause of making moist to be moisture, the humidity of transformer surrounding environment has very strong correlativity with definitely making moist, and therefore when carrying out state estimation to transformer, needs the humidity parameter considering transformer external environment condition.
But current transformer substation lacks humidity detection device, transformer external environment condition humidity parameter can only obtain from neighbouring weather station, therefore cannot obtain the accurate humidity parameter of transformer station's external environment condition.
[summary of the invention]
Based on this, be necessary the problem for the accurate humidity parameter of transformer station's external environment condition cannot be obtained at present, a kind of transformer external environment condition humidity parameter measuring method is provided, accurately can estimates the humidity parameter of transformer external environment condition according to the weather data of weather station.
A kind of transformer external environment condition humidity parameter measuring method, comprises step:
Obtain the weather data in preset range measured by weather station meteorological equipment around transformer, wherein said weather data comprises effective time corresponding to the geographic factor of position, weather station and humidity parameter and this humidity parameter;
Set up the corresponding relation being codomain for humidity parameter described in field of definition with the geographic factor of position, weather station;
Within described effective time, obtain the geographic factor of transformer position of user's input, utilize discrete points interpolation method to solve to obtain the humidity parameter in transformer position effective time according to the geographic factor of transformer position and described corresponding relation;
When the humidity parameter of transformer position is greater than default humidity threshold, controls alarm module and generate humidity warning information.
Correspondingly, the present invention also provides a kind of transformer external environment condition humidity parameter measurement system, comprising:
Acquisition module, for obtaining the weather data around transformer in preset range measured by weather station meteorological equipment, wherein said weather data comprises effective time corresponding to the geographic factor of position, weather station and humidity parameter and this humidity parameter;
Model building module, for the corresponding relation that to set up with the geographic factor of position, weather station be codomain for humidity parameter described in field of definition;
Humidity parameter solves module, for within described effective time, obtain the geographic factor of transformer position of user's input, utilize discrete points interpolation method to solve to obtain the humidity parameter in transformer position effective time according to the geographic factor of transformer position and described corresponding relation;
Humidity alarm module, for when the humidity parameter of transformer position is greater than default humidity threshold, controls alarm module and generates humidity warning information.
The present invention is after the weather data obtaining weather station near transformer, with the corresponding relation that the geographic factor of position, weather station is codomain for humidity parameter described in field of definition, the geographic factor of transformer position, not in the field of definition of described corresponding relation, directly cannot obtain the humidity parameter of transformer position from described corresponding relation.Utilize discrete points interpolation method to solve described corresponding relation according to the geographic factor of transformer position, the humidity parameter in transformer position effective time can be obtained.When the humidity parameter of transformer position is greater than default humidity threshold, controls alarm module and generate humidity warning information.The present invention with the weather data of weather station near transformer for benchmark, and utilize discrete points interpolation method, accurately can calculate the humidity parameter in transformer position effective time, can solve for the current problem that cannot obtain the accurate humidity parameter of transformer station's external environment condition, and when the humidity parameter of transformer position is greater than default humidity threshold, control alarm module and generate humidity warning information, the state estimation for transformer provides reliable reference.
[accompanying drawing explanation]
Fig. 1 is the process flow diagram of a kind of embodiment of a kind of transformer of the present invention external environment condition humidity parameter measuring method;
Fig. 2 is a kind of transformer external environment condition of the present invention humidity parameter measuring method first Thiessen polygon schematic diagram;
Fig. 3 is a kind of transformer external environment condition of the present invention humidity parameter measuring method second Thiessen polygon schematic diagram;
Fig. 4 is the structured flowchart of a kind of embodiment of a kind of transformer of the present invention external environment condition humidity parameter measurement system.
[embodiment]
In order to make the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, the present invention is described in further detail.
Refer to Fig. 1, it is the process flow diagram of a kind of embodiment of a kind of transformer of the present invention external environment condition humidity parameter measuring method.
A kind of transformer external environment condition humidity parameter measuring method, comprises step:
S101: obtain the weather data in preset range measured by weather station meteorological equipment around transformer;
Wherein, described weather data comprises effective time corresponding to the geographic factor of position, weather station and humidity parameter and this humidity parameter; Described geographic factor comprises longitude, latitude and height above sea level; Described humidity parameter can be absolute humidity, also can be relative humidity.
Connect by storing the server of weather data measured by meteorological equipment in Ethernet and described weather station, and by server described in ethernet access to obtain the effective described weather data of current time.Also connect by other modes such as wireless network or mobile network and described server.
S102: the corresponding relation that to set up with the geographic factor of position, weather station be codomain for humidity parameter described in field of definition;
After obtaining described weather data, extract the geographic factor of position, weather station in described weather data, using the geographic factor of each weather station as field of definition, extract the humidity parameter of position, weather station in described weather data, with this humidity parameter for codomain, then set up the corresponding relation between described field of definition and codomain.
S103: within described effective time, obtain the geographic factor of transformer position of user's input, utilize discrete points interpolation method to solve to obtain the humidity parameter in transformer position effective time according to the geographic factor of transformer position and described corresponding relation;
If described weather data exceeds effective time, then give up this weather data and again obtain the weather data around transformer in preset range measured by weather station meteorological equipment.
If described weather data is within effective time, then obtain the geographic factor of the transformer position of user's input.Because the geographic factor of transformer position is not in the field of definition of described corresponding relation, so directly cannot be obtained the humidity parameter of transformer position from described corresponding relation by the geographic factor of transformer position.With the geographic factor of transformer position for being inserted into a little, obtaining this by discrete points interpolation method and being inserted into interpolation a little, then this interpolation being judged to be the humidity parameter of transformer position.
S104: when the humidity parameter of transformer position is greater than default humidity threshold, controls alarm module and generates humidity warning information.
Judge whether described humidity parameter is greater than default humidity threshold, the humidity parameter of transformer position and the damp degree of transformer have direct relation, when the humidity parameter of transformer position is greater than default humidity threshold, illustrate that transformer easily occurs definitely to make moist, need to make moist analysis to the running status of transformer, now control alarm module and generate humidity warning information, note to point out user or staff the risk that transformer definitely makes moist.
The present invention is after the weather data obtaining weather station near transformer, with the corresponding relation that the geographic factor of position, weather station is codomain for humidity parameter described in field of definition, the geographic factor of transformer position, not in the field of definition of described corresponding relation, directly cannot obtain the humidity parameter of transformer position from described corresponding relation.Utilize discrete points interpolation method to solve described corresponding relation according to the geographic factor of transformer position, the humidity parameter in transformer position effective time can be obtained.When the humidity parameter of transformer position is greater than default humidity threshold, controls alarm module and generate humidity warning information.The present invention with the weather data of weather station near transformer for benchmark, and utilize discrete points interpolation method, accurately can calculate the humidity parameter in transformer position effective time, can solve for the current problem that cannot obtain the accurate humidity parameter of transformer station's external environment condition, and when the humidity parameter of transformer position is greater than default humidity threshold, control alarm module and generate humidity warning information, the state estimation for transformer provides reliable reference.
In one embodiment, above-mentioned steps S103 can specifically comprise the following steps:
S201: with described weather data for sample point, creates the first Thiessen polygon of described sample point;
Using described weather data as sample point, wherein, the coordinate of described sample point is the element of field of definition in described corresponding relation, i.e. the geographic factor of position, weather station; Humidity parameter in value codomain corresponding to this element of described sample point, then creates the first Thiessen polygon of described sample point, and records the borderline region of described first Thiessen polygon.As shown in Figure 2, sample point comprises P1 to P6, region, P1 position is first Thiessen polygon of sample point P1, region, P2 position is first Thiessen polygon of sample point P2, region, P3 position is first Thiessen polygon of sample point P3, region, P4 position is first Thiessen polygon of sample point P4, and region, P5 position is first Thiessen polygon of sample point P5, and region, P5 position is first Thiessen polygon of sample point P6.
S202: with the coordinate of the geographic factor of transformer position for interpolation point, creates the second Thiessen polygon of described interpolation point according to described coordinate;
Extract the geographic factor of transformer position, using the coordinate of the geographic factor of transformer position as interpolation point, interpolation point is inserted and inserts in sample point according to its coordinate, then create the second Thiessen polygon comprising described interpolation point.After interpolation point is inserted sample point, only include interpolation point in the second constructed Thiessen polygon, and described second Thiessen polygon must be the polygon of a closed region.And now described second Thiessen polygon and the first Thiessen polygon have certain overlapping region, the interpolation of interpolation point is then obtained by the computation model preset according to the area of overlapping region and the value of sample point.As shown in Figure 3, insert after sample point according to its coordinate when being inserted into an X, the region that the second Thiessen polygon of establishment surrounds for α 1 ~ α 6.As can be seen from Figure 3, second Thiessen polygon and the first Thiessen polygon have certain overlapping region, namely α 1 is first Thiessen polygon of the sample point P1 region overlapping with the second Thiessen polygon, α 2 is first Thiessen polygon of the sample point P2 region overlapping with the second Thiessen polygon, and the rest may be inferred.
S203: the area calculating the second Thiessen polygon, and the overlapping area of adding up described first Thiessen polygon and the second Thiessen polygon;
Calculated the area of the second Thiessen polygon by the areal calculation model preset, and calculate by the areal calculation model preset and add up the overlapping area of each Thiessen polygon and described second Thiessen polygon overlapping region.
S204: calculate the interpolation of interpolation point according to the area of described second Thiessen polygon and described overlapping area by the computation model preset, and described interpolation is judged to be the humidity parameter of transformer position.
Calculate the weight that each overlapping area accounts for the second Thiessen polygon area, the area of described second Thiessen polygon and described weight are substituted into the computation model preset, this computation model is solved to the interpolation obtaining interpolation point.Wherein, the interpolation result that described computation model calculates can be the value of the great sample point in preset ratio of weighting, such as, a certain overlapping area accounts for the weight of the second Thiessen polygon area more than 90% (or other preset ratio), then can get the interpolation of value as the second Thiessen polygon of sample point corresponding to this overlapping area; The interpolation result that described computation model calculates can also be other mode.
As further preferred, the formula of described computation model can be:
Wherein, f (x) is the interpolation of interpolation point, w
i(x) for sample point i (i=1 ..., n) about the weight of interpolation point, f
ifor the value of sample point i;
The formula of described weight is:
Wherein, a
ithe overlapping area of the first Thiessen polygon that ∩ a (x) is sample point i and described second Thiessen polygon, a (x) is the area of described second Thiessen polygon.
As can be seen from above-mentioned formula, all sample points all take part in the interpolation calculation of interpolation point, and the overlapping area that sample point treats the weighing factor of interpolation point corresponding with them is directly proportional.That is, the humidity parameter of transformer position combines the weather data of weather station in periphery preset range, can the humidity parameter of calculating transformer position exactly, i.e. the humidity parameter of transformer external environment condition.
By creating the first Thiessen polygon to sample point, and using the coordinate of the geographic factor of transformer position as interpolation point, when the overlapping area of the area of acquisition second Thiessen polygon and the first Thiessen polygon and the second Thiessen polygon, the interpolation of interpolation point accurately can be obtained by the computation model preset, namely the humidity parameter of transformer position, can improve the precision of transformer position humidity parameter.
In one embodiment, step can also be comprised:
S301: the transformer actual measurement humidity obtaining user's input, and calculate the relative error of described actual measurement humidity and described humidity parameter;
Obtain the transformer observed temperature of user's input, then transformer observed temperature by measurement devices such as hygrometers, can calculate described actual measurement humidity and the relative error calculating gained transformer position humidity parameter.Described relative error can be obtained by following formulae discovery:
Wherein, E is relative error, and Ti ' is for surveying humidity, and Ti is the humidity parameter calculating gained.
S302: when described relative error is greater than default error threshold, controls alarm module and generates error warning information.
Judge whether described relative error is greater than default error threshold, preferably, described error threshold is 0.3, if described relative error is greater than default error threshold, then illustrate that transformer is likely in the violent location of the topographic relief such as mountain region or hills, the change of transformer position humidity parameter is obvious, now control alarm module and generate error warning information, calculate with reminding user the transformer humidity parametric error obtained comparatively large, need the humidity parameter for transformer to carry out field-checking.
By obtaining the transformer actual measurement humidity of user's input, and calculate the relative error of described actual measurement humidity and described humidity parameter, just can verify calculation gained humidity parameter and actual measurement humidity between extent of deviation, default error threshold is greater than in relative error, generate error warning information, effectively reminding user or work of transformer substation personnel can carry out field-checking for the humidity parameter of transformer in time, thus accurately understand the humidity parameter of transformer external environment condition, improve the accuracy of running state of transformer.
Refer to Fig. 4, it is the structured flowchart of a kind of embodiment of a kind of transformer of the present invention external environment condition humidity parameter measurement system.
A kind of transformer external environment condition humidity parameter measurement system, comprising:
Acquisition module 401, for obtaining the weather data around transformer in preset range measured by weather station meteorological equipment;
Wherein said weather data comprises effective time corresponding to the geographic factor of position, weather station and humidity parameter and this humidity parameter;
Acquisition module 401 connects by storing the server of weather data measured by meteorological equipment in Ethernet and described weather station, and by server described in ethernet access to obtain the effective described weather data of current time.Acquisition module 401 also connects by other modes such as wireless network or mobile network and described server.
Model building module 402, for the corresponding relation that to set up with the geographic factor of position, weather station be codomain for humidity parameter described in field of definition;
After acquisition module 401 obtains described weather data, model building module 402 extracts the geographic factor of position, weather station in described weather data, using the geographic factor of each weather station as field of definition, then described model building module 402 extracts the humidity parameter of position, weather station in described weather data, with this humidity parameter for codomain, then set up the corresponding relation between described field of definition and codomain.
Humidity parameter solves module 403, for within described effective time, obtain the geographic factor of transformer position of user's input, utilize discrete points interpolation method to solve to obtain the humidity parameter in transformer position effective time according to the geographic factor of transformer position and described corresponding relation;
Exceeding effective time in described weather data is that humidity parameter solves module 403 and gives up this weather data and again obtain the weather data around transformer in preset range measured by weather station meteorological equipment.
In described weather data within effective time, described humidity parameter solves the geographic factor that module 403 obtains the transformer position of user's input.Because the geographic factor of transformer position is not in the field of definition of described corresponding relation, so directly cannot be obtained the humidity parameter of transformer position from described corresponding relation by the geographic factor of transformer position.Humidity parameter solves module 403 with the geographic factor of transformer position for being inserted into a little, obtains this and is inserted into interpolation a little, then this interpolation is judged to be the humidity parameter of transformer position by discrete points interpolation method.
Humidity alarm module 404, for when the humidity parameter of transformer position is greater than default humidity threshold, controls alarm module and generates humidity warning information.
Humidity alarm module 404 judges whether described humidity parameter is greater than default humidity threshold.Because the humidity parameter of transformer position and the damp degree of transformer have direct relation.When the humidity parameter of transformer position is greater than default humidity threshold, illustrate that transformer easily occurs definitely to make moist, need to make moist analysis to the running status of transformer, now humidity alarm module 404 controls alarm module and generates humidity warning information, notes to point out user or staff the risk that transformer definitely makes moist.
The present invention after acquisition module 401 obtains the weather data of weather station near transformer, the corresponding relation that model building module 402 is codomain with the geographic factor of position, weather station for humidity parameter described in field of definition.Then humidity parameter solves module 403 and utilizes discrete points interpolation method to solve described corresponding relation according to the geographic factor of transformer position, can obtain the humidity parameter in transformer position effective time.When the humidity parameter of transformer position is greater than default humidity threshold, humidity alarm module 404 controls alarm module and generates humidity warning information.The present invention with the weather data of weather station near transformer for benchmark, and utilize discrete points interpolation method, accurately can calculate the humidity parameter in transformer position effective time, can solve for the current problem that cannot obtain the accurate humidity parameter of transformer station's external environment condition, and when the humidity parameter of transformer position is greater than default humidity threshold, control alarm module and generate humidity warning information, the state estimation for transformer provides reliable reference.
In one embodiment, above-mentioned humidity parameter solves module 403 and can comprise following submodule.
First creation module, for described weather data for sample point, create the first Thiessen polygon of described sample point;
First creation module is using described weather data as sample point, and wherein, the coordinate of described sample point is the element of field of definition in described corresponding relation, i.e. the geographic factor of position, weather station; Humidity parameter in value codomain corresponding to this element of described sample point, then the first creation module creates the first Thiessen polygon of described sample point, and records the borderline region of described first Thiessen polygon.As shown in Figure 2, sample point comprises P1 to P6, region, P1 position is first Thiessen polygon of sample point P1, region, P2 position is first Thiessen polygon of sample point P2, region, P3 position is first Thiessen polygon of sample point P3, region, P4 position is first Thiessen polygon of sample point P4, and region, P5 position is first Thiessen polygon of sample point P5, and region, P5 position is first Thiessen polygon of sample point P6.
Second creation module, for the coordinate of the geographic factor of transformer position for interpolation point, creates the second Thiessen polygon of described interpolation point according to described coordinate;
Second creation module extracts the geographic factor of transformer position, then the second creation module is using the coordinate of the geographic factor of transformer position as interpolation point, being inserted by interpolation point inserts in sample point according to its coordinate, and then the second creation module creates the second Thiessen polygon comprising described interpolation point.Second creation module only include interpolation point in the second constructed Thiessen polygon, and described second Thiessen polygon must be the polygon of a closed region after interpolation point is inserted sample point.And now described second Thiessen polygon and the first Thiessen polygon have certain overlapping region, the interpolation of interpolation point is then obtained by the computation model preset according to the area of overlapping region and the value of sample point.As shown in Figure 3, insert after sample point according to its coordinate when being inserted into an X, the region that the second Thiessen polygon of establishment surrounds for α 1 ~ α 6.As can be seen from Figure 3, second Thiessen polygon and the first Thiessen polygon have certain overlapping region, namely α 1 is first Thiessen polygon of the sample point P1 region overlapping with the second Thiessen polygon, α 2 is first Thiessen polygon of the sample point P2 region overlapping with the second Thiessen polygon, and the rest may be inferred.
Areal calculation module, for calculating the area of the second Thiessen polygon, and adds up the overlapping area of described first Thiessen polygon and the second Thiessen polygon;
Areal calculation module calculates the area of the second Thiessen polygon by the areal calculation model preset, and is calculated by the areal calculation model preset and added up the overlapping area of each Thiessen polygon and described second Thiessen polygon overlapping region.
Interpolation calculation module, the computation model for passing through to preset according to area and the described overlapping area of described second Thiessen polygon calculates the interpolation of interpolation point, and described interpolation is judged to be the humidity parameter of transformer position.
Interpolation calculation module calculates the weight that each overlapping area accounts for the second Thiessen polygon area, then the area of described second Thiessen polygon and described weight are substituted into the computation model preset by interpolation calculation module, this computation model are solved to the interpolation obtaining interpolation point.Wherein, the interpolation result that described computation model calculates can be the value of the great sample point in preset ratio of weighting, such as, a certain overlapping area accounts for the weight of the second Thiessen polygon area more than 90% (or other preset ratio), then can get the interpolation of value as the second Thiessen polygon of sample point corresponding to this overlapping area; The interpolation result that described computation model calculates can also be other mode.
As further preferred, the formula of described computation model can be:
Wherein, f (x) is the interpolation of interpolation point, w
i(x) for sample point i (i=1 ..., n) about the weight of interpolation point, f
ifor the value of sample point i;
The formula of described weight is:
Wherein, a
ithe overlapping area of the first Thiessen polygon that ∩ a (x) is sample point i and described second Thiessen polygon, a (x) is the area of described second Thiessen polygon.
As can be seen from above-mentioned formula, all sample points all take part in the interpolation calculation of interpolation point, and the overlapping area that sample point treats the weighing factor of interpolation point corresponding with them is directly proportional.That is, the humidity parameter of transformer position combines the weather data of weather station in periphery preset range, can the humidity parameter of calculating transformer position exactly, i.e. the humidity parameter of transformer external environment condition.
By the first creation module, the first Thiessen polygon is created to sample point, and using the coordinate of the geographic factor of transformer position as interpolation point, and create the second Thiessen polygon by the second creation module.When areal calculation module calculates the overlapping area of the area of acquisition second Thiessen polygon and the first Thiessen polygon and the second Thiessen polygon, interpolation calculation module accurately can obtain the interpolation of interpolation point by the computation model preset, namely the humidity parameter of transformer position, can improve the precision of transformer position humidity parameter.
In one embodiment, described transformer external environment condition humidity parameter measurement system can also comprise with lower module.
Error calculating module, for obtaining the transformer actual measurement humidity of user's input, and calculates the relative error of described actual measurement humidity and described humidity parameter;
Error calculating module obtains the transformer observed temperature of user's input, and transformer observed temperature can by measurement devices such as hygrometers, and then error calculating module calculates described actual measurement humidity and the relative error calculating gained transformer position humidity parameter.Described relative error can be obtained by following formulae discovery:
Wherein, E is relative error, and Ti ' is for surveying humidity, and Ti is the humidity parameter calculating gained.
Error alarm module, for when described relative error is greater than default error threshold, controls alarm module and generates error warning information.
Error alarm module judges whether described relative error is greater than default error threshold, preferably, described error threshold is 0.3, when described relative error is greater than default error threshold, illustrate that transformer is likely in the violent location of the topographic relief such as mountain region or hills, the change of transformer position humidity parameter is obvious, this time error alarm module controls alarm module and generates error warning information, calculate with reminding user the transformer humidity parametric error obtained comparatively large, need the humidity parameter for transformer to carry out field-checking.
Error calculating module is by obtaining the transformer actual measurement humidity of user's input, and calculate the relative error of described actual measurement humidity and described humidity parameter, just can verify calculation gained humidity parameter and actual measurement humidity between extent of deviation, default error threshold is greater than in relative error, error alarm module generates error warning information, effectively reminding user or work of transformer substation personnel can carry out field-checking for the humidity parameter of transformer in time, thus accurately understand the humidity parameter of transformer external environment condition, improve the accuracy of running state of transformer.
The above embodiment only have expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (8)
1. a transformer external environment condition humidity parameter measuring method, is characterized in that, comprise step:
Obtain the weather data in preset range measured by weather station meteorological equipment around transformer, wherein said weather data comprises effective time corresponding to the geographic factor of position, weather station and humidity parameter and this humidity parameter;
Set up the corresponding relation being codomain for humidity parameter described in field of definition with the geographic factor of position, weather station;
Within described effective time, obtain the geographic factor of transformer position of user's input, utilize discrete points interpolation method to solve to obtain the humidity parameter in transformer position effective time according to the geographic factor of transformer position and described corresponding relation;
When the humidity parameter of transformer position is greater than default humidity threshold, controls alarm module and generate humidity warning information.
2. transformer external environment condition humidity parameter measuring method according to claim 1, it is characterized in that, the described geographic factor according to transformer position and described corresponding relation utilize discrete points interpolation method to solve the step of the humidity parameter obtained in transformer position effective time, specifically comprise:
With described weather data for sample point, create the first Thiessen polygon of described sample point;
With the coordinate of the geographic factor of transformer position for interpolation point, create the second Thiessen polygon of described interpolation point according to described coordinate;
Calculate the area of the second Thiessen polygon, and add up the overlapping area of described first Thiessen polygon and the second Thiessen polygon;
Calculate the interpolation of interpolation point according to the area of described second Thiessen polygon and described overlapping area by the computation model preset, and described interpolation is judged to be the humidity parameter of transformer position.
3. transformer external environment condition humidity parameter measuring method according to claim 2, is characterized in that, comprises according to the step that area and the described overlapping area of described second Thiessen polygon calculate the value of interpolation point by the computation model preset:
The formula of described computation model is:
Wherein, f (x) is the interpolation of interpolation point, w
i(x) for sample point i (i=1 ..., n) about the weight of interpolation point, f
ifor the value of sample point i;
The formula of described weight is:
Wherein, a
ithe overlapping area of the first Thiessen polygon that ∩ a (x) is sample point i and described second Thiessen polygon, a (x) is the area of described second Thiessen polygon.
4. transformer external environment condition humidity parameter measuring method according to claim 1, is characterized in that, further comprising the steps of:
Obtain the transformer actual measurement humidity of user's input, and calculate the relative error of described actual measurement humidity and described humidity parameter;
When described relative error is greater than default error threshold, controls alarm module and generate error warning information.
5. a transformer external environment condition humidity parameter measurement system, is characterized in that, comprising:
Acquisition module, for obtaining the weather data around transformer in preset range measured by weather station meteorological equipment, wherein said weather data comprises effective time corresponding to the geographic factor of position, weather station and humidity parameter and this humidity parameter;
Model building module, for the corresponding relation that to set up with the geographic factor of position, weather station be codomain for humidity parameter described in field of definition;
Humidity parameter solves module, for within described effective time, obtain the geographic factor of transformer position of user's input, utilize discrete points interpolation method to solve to obtain the humidity parameter in transformer position effective time according to the geographic factor of transformer position and described corresponding relation;
Humidity alarm module, for when the humidity parameter of transformer position is greater than default humidity threshold, controls alarm module and generates humidity warning information.
6. transformer external environment condition humidity parameter measurement system according to claim 5, it is characterized in that, described humidity parameter solves module and comprises:
First creation module, for described weather data for sample point, create the first Thiessen polygon of described sample point;
Second creation module, for the coordinate of the geographic factor of transformer position for interpolation point, creates the second Thiessen polygon of described interpolation point according to described coordinate;
Areal calculation module, for calculating the area of the second Thiessen polygon, and adds up the overlapping area of described first Thiessen polygon and the second Thiessen polygon;
Interpolation calculation module, the computation model for passing through to preset according to area and the described overlapping area of described second Thiessen polygon calculates the interpolation of interpolation point, and described interpolation is judged to be the humidity parameter of transformer position.
7. transformer external environment condition humidity parameter measurement system according to claim 6, it is characterized in that, described interpolation calculation module comprises:
The formula of described computation model is:
Wherein, f (x) is the interpolation of interpolation point, w
i(x) for sample point i (i=1 ..., n) about the weight of interpolation point, f
ifor the value of sample point i;
The formula of described weight is:
Wherein, a
ithe overlapping area of the first Thiessen polygon that ∩ a (x) is sample point i and described second Thiessen polygon, a (x) is the area of described second Thiessen polygon.
8. transformer external environment condition humidity parameter measurement system according to claim 5, is characterized in that, also comprise:
Error calculating module, for obtaining the transformer actual measurement humidity of user's input, and calculates the relative error of described actual measurement humidity and described humidity parameter;
Error alarm module, for when described relative error is greater than default error threshold, controls alarm module and generates error warning information.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105352541A (en) * | 2015-10-14 | 2016-02-24 | 国网福建省电力有限公司 | Transformer operation auxiliary monitoring system and method based on disaster prevention and reduction system of power grid |
| CN108415105A (en) * | 2018-01-23 | 2018-08-17 | 南京信息工程大学 | A kind of method of inspection for observing ground weather station relative humidity numerical value |
| CN111044101A (en) * | 2019-12-28 | 2020-04-21 | 江苏中天伯乐达变压器有限公司 | Transformer monitoring system and monitoring method |
| CN111260529A (en) * | 2020-01-08 | 2020-06-09 | 上海船舶研究设计院（中国船舶工业集团公司第六0四研究院） | Ship environment data determination method and device and ship |
| CN112903758A (en) * | 2021-01-21 | 2021-06-04 | 电子科技大学 | Intelligent temperature and humidity self-calibration method for overlapped blocks of gas sensor |
| CN114252110A (en) * | 2022-03-02 | 2022-03-29 | 山东和兑智能科技有限公司 | Intelligent evaluation system and evaluation method for power transformation equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105352541A (en) * | 2015-10-14 | 2016-02-24 | 国网福建省电力有限公司 | Transformer operation auxiliary monitoring system and method based on disaster prevention and reduction system of power grid |
| CN105352541B (en) * | 2015-10-14 | 2017-12-08 | 国网福建省电力有限公司 | A kind of transformer station high-voltage side bus auxiliary monitoring system and its monitoring method based on power network disaster prevention disaster reduction system |
| CN108415105A (en) * | 2018-01-23 | 2018-08-17 | 南京信息工程大学 | A kind of method of inspection for observing ground weather station relative humidity numerical value |
| CN108415105B (en) * | 2018-01-23 | 2020-07-31 | 南京信息工程大学 | Method for inspecting relative humidity value observed by ground meteorological observation station |
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| CN111260529A (en) * | 2020-01-08 | 2020-06-09 | 上海船舶研究设计院（中国船舶工业集团公司第六0四研究院） | Ship environment data determination method and device and ship |
| CN111260529B (en) * | 2020-01-08 | 2024-03-08 | 上海船舶研究设计院（中国船舶工业集团公司第六0四研究院） | Ship environment data determining method and device and ship |
| CN112903758A (en) * | 2021-01-21 | 2021-06-04 | 电子科技大学 | Intelligent temperature and humidity self-calibration method for overlapped blocks of gas sensor |
| CN114252110A (en) * | 2022-03-02 | 2022-03-29 | 山东和兑智能科技有限公司 | Intelligent evaluation system and evaluation method for power transformation equipment |
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