CN112504591A - Method for analyzing breeze vibration data of power transmission line - Google Patents
Method for analyzing breeze vibration data of power transmission line Download PDFInfo
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- CN112504591A CN112504591A CN202011283888.6A CN202011283888A CN112504591A CN 112504591 A CN112504591 A CN 112504591A CN 202011283888 A CN202011283888 A CN 202011283888A CN 112504591 A CN112504591 A CN 112504591A
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Abstract
The invention discloses a method and a device for analyzing breeze vibration data of a power transmission line, which are used for counting and analyzing monitoring data and abnormal fluctuation data of up-and-down alternating force caused by up-and-down alternative karman vortexes on the leeward side of the power transmission line, inquiring real-time monitoring data and historical monitoring data and calculating various frequency f0 vibration values and normal vibration ranges through a breeze vibration monitoring database connected with the end of the power transmission line, calculating the vibration frequency and the vortex frequency of a lead by matching different early warning analysis functions, judging whether regular wavy reciprocating motion or non-benign sequential motion is performed by combining with related breeze vibration early warning common standards, and guiding electricians to work and process in time so as to reduce the probability of accidents.
Description
Technical Field
The invention relates to an electric power monitoring technology, in particular to a monitoring system for monitoring the breeze vibration frequency distribution of a power transmission line.
Background
Breeze vibration is wire vibration due to excitation by wind. The wind speed at which the vibration phenomenon occurs is generally in the range of 0.5 to 10m/s, but it has been found in recent years that strong vibration is observed even when the wind speed is 10m/s or more in the case where the terrain is flat and the external disturbance is small. Under the condition that the vibration isolator is not installed on the lead, the maximum double amplitude of the breeze vibration is not more than 2 times of the diameter of the lead, the vibration frequency range is 3-120 Hz, and the half wavelength of the vibration is 1.5-20 m. The duration of vibration is relatively long, typically several hours, sometimes up to several days.
The hydrodynamic cause of the breeze vibration is caused by the karman vortex formed after the breeze blows over the wire. This phenomenon can be observed by means of wind tunnel tests. A cylinder is horizontally placed in a wind tunnel test section, two ends of the cylinder are rigidly fixed, and when wind blows through the cylinder from a right-angle direction, vortex is generated behind the cylinder. Such vortices are known as "karman vortices". Vortex at the leeward part of the cylinder is alternately generated up and down, continuously leaves the cylinder and extends backwards, and gradually disappears. The vortex generated by the up-down alternation generates an up-down alternating acting force on the cylinder, thereby forming breeze vibration.
In a power transmission line, breeze vibration is a main cause of damage to the line. The characteristic of high frequency and small amplitude is not obvious like the damage of line galloping, has certain concealment, is difficult to find from the appearance of a transmission conductor sometimes, but starts from the inner layer of the conductor, brings certain difficulty to line patrol work, is usually found after an anti-vibration device is damaged and falls off or a strand is broken due to fatigue, and the damage caused at the moment is very serious.
The intensive study on the breeze vibration finds that when the magnitude of the abrupt stress of the overhead line exceeds a certain limit and the abrupt stress is acted alternately for many times, a very thin crack is generated at the position where the line strand is damaged or has stress concentration, and the stress concentration is severe at the tip of the crack, so that the crack is continuously expanded under the repeated action of the abrupt stress; after a long time of sudden stress action, the effective cross section of the strand is continuously reduced along with the continuous expansion of the crack, and when the cross section is reduced to a certain limit, the strand is suddenly broken along the weakened cross section under an accidental vibration or impact. When the hardware used by the lead is high in rigidity, the loose supporting point, particularly the insulator binding wire part, is easy to wear and damage, and the crimping pipe, the suspension clamp and the crimping strain clamp are also easy to fatigue and damage.
At present, various monitoring systems are mainly put in storage through data integration, and because normal values of monitoring data of each sensor are different, setting is relatively extensive, risk identification is lagged, normal risk and abnormal fluctuation cannot be analyzed and judged, and the success rate of identifying risks is low.
Disclosure of Invention
Aiming at the problem that various monitoring systems cannot accurately analyze and judge normal state risks and abnormal fluctuation at present, the invention provides a method and a device for analyzing breeze vibration data of a power transmission line, which are based on the statistics and analysis of monitoring data and abnormal fluctuation data of up-down alternating force caused by karman vortex on the leeward side of the power transmission line in an up-down alternating manner, the method comprises the steps of inquiring real-time monitoring data and historical monitoring data and calculating various frequency f0 vibration values and normal vibration ranges by connecting a breeze vibration monitoring database at the end of a power transmission line, calculating the vibration frequency and vortex frequency of a lead by matching different early warning analysis functions, judging whether regular wavy reciprocating motion or non-benign sequential motion is achieved by combining with related breeze vibration early warning common standards, and guiding electricians to work and process in time so as to reduce the probability of accidents.
The method comprises the following specific steps:
in order to solve the above problems, the present invention provides a method for analyzing power transmission line breeze vibration data, preferably, the method is based on statistics and analysis of monitoring data and abnormal fluctuation data of alternating force up and down caused by karman vortex of the power transmission line on the leeward side and up and down, and the specific implementation method comprises the following steps: s1: the method comprises the following steps of connecting a breeze vibration monitoring database of a transmission line end, and inquiring real-time monitoring data and historical monitoring data of the transmission line end connected with a network; the real-time monitoring data and the historical monitoring data of the grid-connected power transmission line end are vibration frequency and vortex frequency of a lead;
s2: dividing the sum of the percentage of the real-time abnormal fluctuation data in the breeze vibration monitoring database to the base value of the vortex good sequence frequency f0 and the percentage of the historical monitoring abnormal fluctuation data in the base value of the vortex good sequence frequency f0 by 2 to obtain the reference number of the current real-time abnormal fluctuation data value;
s3: carrying out mean value calculation on the reference number according to the vibration frequency and vortex frequency of the lead to obtain a reference base number group, and calculating a linear fitting function and a nonlinear fitting function according to the reference base number group and an early warning analysis function;
s4: calculating real-time deviation values of the vibration frequency and the vortex frequency of the real-time monitoring data according to a linear fitting function, comparing the real-time abnormal fluctuation reference data value with the real-time deviation values, and calculating a comparison value of the real-time abnormal fluctuation reference data value and the real-time deviation values, wherein if the comparison value is lower than the minimum standard value of the breeze vibration early warning by 10%, the risk coefficient is light; if the contrast value is 10-30% higher than the minimum warning standard value, the anti-fatigue coefficient of the breeze vibration is low and needs to be improved; if the height is 30-50%, maintenance treatment is needed in the near term; if the content is higher than 50%, the related accessories need to be replaced;
s5: and a comparison value obtained by comparing a real-time abnormal fluctuation reference data value of a power transmission line end connected with the network with a real-time deviation value is input into a group designated by a user for group comparison, and is marked through a three-dimensional simulation display sand table of a database, so that the breeze vibration condition of each network point can be visually seen.
Preferably, the wind speed of the breeze vibration in the analysis method of the breeze vibration data of the power transmission line is between 0.4 and 12 m/s.
Preferably, the real-time abnormal fluctuation data is real-time abnormal vibration frequency and real-time abnormal vortex frequency of the wire.
Preferably, the linear model of the linear fitting function calculated by the reference basis group and the forewarning analysis function is a generalized polynomial with a parameter b as a coefficient, i.e., y ═ f (X; b) ═ b1g1(X) + b2g2(X) +. bngn (X), where g1(X), g2(X),. gn (X) are N linear independent continuous functions.
Preferably, the historical monitoring data is vibration frequency data and vortex frequency data of a lead passing by more than one week at the transmission line end; if the time is less than one week, the data is real-time data.
A transmission line breeze vibration data analysis device, preferably, the device is based on the karman swirl that alternates from top to bottom on the leeward side to the transmission line, arouses the monitoring data and the unusual fluctuation data of upper and lower alternating force, the device includes:
breeze vibration monitoring module: the first link for the analysis method: the method comprises the following steps of connecting a breeze vibration monitoring database of a transmission line end, and inquiring real-time monitoring data and historical monitoring data of the transmission line end connected with a network; the real-time monitoring data and the historical monitoring data of the grid-connected power transmission line end are vibration frequency and vortex frequency of a lead;
a reference number calculation module: the second link for the analysis method: dividing the sum of the percentage of the real-time abnormal fluctuation data in the breeze vibration monitoring database to the base value of the vortex good sequence frequency f0 and the percentage of the historical monitoring abnormal fluctuation data in the base value of the vortex good sequence frequency f0 by 2 to obtain the reference number of the current real-time abnormal fluctuation data value;
a fitting function calculation module: a third link for the analysis method: carrying out mean value calculation on the reference number according to the vibration frequency and vortex frequency of the lead to obtain a reference base number group, and calculating a linear fitting function and a nonlinear fitting function according to the reference base number group and an early warning analysis function;
a contrast value standard matching module: a fourth link for the analysis method: calculating real-time deviation values of the vibration frequency and the vortex frequency of the real-time monitoring data according to a linear fitting function, comparing the real-time abnormal fluctuation reference data value with the real-time deviation values, and calculating a comparison value of the real-time abnormal fluctuation reference data value and the real-time deviation values, wherein if the comparison value is lower than the minimum standard value of the breeze vibration early warning by 10%, the risk coefficient is light; if the contrast value is 10-30% higher than the minimum warning standard value, the anti-fatigue coefficient of the breeze vibration is low and needs to be improved; if the height is 30-50%, maintenance treatment is needed in the near term; if the content is higher than 50%, the related accessories need to be replaced;
a three-dimensional simulation module: and a comparison value obtained by comparing a real-time abnormal fluctuation reference data value of a power transmission line end connected with the network with a real-time deviation value is input into a group designated by a user for group comparison, and is marked through a three-dimensional simulation display sand table of a database, so that the breeze vibration condition of each network point can be visually seen.
Drawings
Fig. 1 is a flowchart of a method for analyzing aeolian vibration data of a power transmission line according to an embodiment of the present invention;
fig. 2 is a structural diagram of a breeze vibration data analysis device for a power transmission line according to an embodiment of the present invention;
Detailed Description
In order to make the invention point of the embodiment of the present invention clearer, the following clearly and completely describes the early warning method in the embodiment of the present invention with reference to the flowchart of the embodiment of the present invention. The invention provides a method for analyzing breeze vibration data of a power transmission line, and the embodiment selects any one-time monitoring data flow to carry out process description.
Referring to fig. 1: fig. 1 is a flowchart of a method for analyzing aeolian vibration data of a power transmission line according to an embodiment of the present invention. As shown in fig. 1, the method comprises the steps of:
the specific implementation method comprises the following steps:
s1: the method comprises the following steps of connecting a breeze vibration monitoring database of a transmission line end, and inquiring real-time monitoring data and historical monitoring data of the transmission line end connected with a network; the real-time monitoring data and the historical monitoring data of the grid-connected power transmission line end are vibration frequency and vortex frequency of a lead;
s2: dividing the sum of the percentage of the real-time abnormal fluctuation data in the breeze vibration monitoring database to the base value of the vortex good sequence frequency f0 and the percentage of the historical monitoring abnormal data to the base value of the vortex good sequence frequency f0 by 2 to obtain the reference number of the current real-time abnormal fluctuation data value;
s3: carrying out mean value calculation on the reference number according to the vibration frequency and vortex frequency of the lead to obtain a reference base number group, and calculating a linear fitting function and a nonlinear fitting function according to the reference base number group and an early warning analysis function;
s4: calculating real-time deviation values of the vibration frequency and the vortex frequency of the real-time monitoring data according to a linear fitting function, comparing the real-time abnormal fluctuation reference data value with the real-time deviation values, and calculating a comparison value of the real-time abnormal fluctuation reference data value and the real-time deviation values, wherein if the comparison value is lower than the minimum standard value of the breeze vibration early warning by 10%, the risk coefficient is light; if the contrast value is 10-30% higher than the minimum warning standard value, the anti-fatigue coefficient of the breeze vibration is low and needs to be improved; if the height is 30-50%, maintenance treatment is needed in the near term; if the content is higher than 50%, the related accessories need to be replaced;
s5: and a comparison value obtained by comparing a real-time abnormal fluctuation reference data value of a power transmission line end connected with the network with a real-time deviation value is input into a group designated by a user for group comparison, and is marked through a three-dimensional simulation display sand table of a database, so that the breeze vibration condition of each network point can be visually seen.
Preferably, the wind speed of the breeze vibration in the analysis method of the breeze vibration data of the power transmission line is between 0.4 and 12 m/s.
Preferably, the real-time abnormal fluctuation data is real-time abnormal vibration frequency and real-time abnormal vortex frequency of the wire.
Preferably, the linear model of the linear fitting function calculated by the reference basis group and the forewarning analysis function is a generalized polynomial with a parameter b as a coefficient, i.e., y ═ f (X; b) ═ b1g1(X) + b2g2(X) +. bngn (X), where g1(X), g2(X),. gn (X) are N linear independent continuous functions.
Preferably, the historical monitoring data is vibration frequency data and vortex frequency data of a lead passing by more than one week at the transmission line end; if the time is less than one week, the data is real-time data.
In another embodiment, referring to fig. 2, a structural diagram of a power transmission line breeze vibration data analysis apparatus is provided, which may specifically include the following modules:
breeze vibration monitoring module: the first link for the analysis method: the method comprises the following steps of connecting a breeze vibration monitoring database of a transmission line end, and inquiring real-time monitoring data and historical monitoring data of the transmission line end connected with a network; the real-time monitoring data and the historical monitoring data of the grid-connected power transmission line end are vibration frequency and vortex frequency of a lead;
a reference number calculation module: the second link for the analysis method: dividing the sum of the percentage of the real-time abnormal fluctuation data in the breeze vibration monitoring database to the base value of the vortex good sequence frequency f0 and the percentage of the historical monitoring abnormal data to the base value of the vortex good sequence frequency f0 by 2 to obtain the reference number of the current real-time abnormal fluctuation data value;
a fitting function calculation module: a third link for the analysis method: carrying out mean value calculation on the reference number according to the vibration frequency and vortex frequency of the lead to obtain a reference base number group, and calculating a linear fitting function and a nonlinear fitting function according to the reference base number group and an early warning analysis function;
a contrast value standard matching module: a fourth link for the analysis method: calculating real-time deviation values of the vibration frequency and the vortex frequency of the real-time monitoring data according to a linear fitting function, comparing the real-time abnormal fluctuation reference data value with the real-time deviation values, and calculating a comparison value of the real-time abnormal fluctuation reference data value and the real-time deviation values, wherein if the comparison value is lower than the minimum standard value of the breeze vibration early warning by 10%, the risk coefficient is light; if the contrast value is 10-30% higher than the minimum warning standard value, the anti-fatigue coefficient of the breeze vibration is low and needs to be improved; if the height is 30-50%, maintenance treatment is needed in the near term; if the content is higher than 50%, the related accessories need to be replaced;
a three-dimensional simulation module: and a comparison value obtained by comparing a real-time abnormal fluctuation reference data value of a power transmission line end connected with the network with a real-time deviation value is input into a group designated by a user for group comparison, and is marked through a three-dimensional simulation display sand table of a database, so that the breeze vibration condition of each network point can be visually seen.
Claims (6)
1. A method for analyzing aeolian vibration data of a power transmission line is characterized in that the method is based on statistics and analysis of monitoring data and abnormal fluctuation data of up-down alternating force caused by karman vortexes of the power transmission line on the leeward side in an up-down alternating mode, and the specific implementation method comprises the following steps:
s1: the method comprises the following steps of connecting a breeze vibration monitoring database of a transmission line end, and inquiring real-time monitoring data and historical monitoring data of the transmission line end connected with a network; the real-time monitoring data and the historical monitoring data of the grid-connected power transmission line end are vibration frequency and vortex frequency of a lead;
s2: dividing the sum of the percentage of the real-time abnormal fluctuation data in the breeze vibration monitoring database to the base value of the vortex good sequence frequency f0 and the percentage of the historical abnormal monitoring data to the base value of the vortex good sequence frequency f0 by 2 to obtain the reference number of the current real-time abnormal fluctuation data value;
s3: carrying out mean value calculation on the reference number according to the vibration frequency and vortex frequency of the lead to obtain a reference base number group, and calculating a linear fitting function and a nonlinear fitting function according to the reference base number group and an early warning analysis function;
s4: calculating real-time deviation values of the vibration frequency and the vortex frequency of the real-time monitoring data according to a linear fitting function, comparing the real-time abnormal fluctuation reference data value with the real-time deviation values, and calculating a comparison value of the real-time abnormal fluctuation reference data value and the real-time deviation values, wherein if the comparison value is lower than the minimum standard value of the breeze vibration early warning by 10%, the risk coefficient is light; if the contrast value is 10-30% higher than the minimum warning standard value, the anti-fatigue coefficient of the breeze vibration is low and needs to be improved; if the height is 30-50%, maintenance treatment is needed in the near term; if the content is higher than 50%, the related accessories need to be replaced;
s5: and a comparison value obtained by comparing a real-time abnormal fluctuation reference data value of a power transmission line end connected with the network with a real-time deviation value is input into a group designated by a user for group comparison, and is marked through a three-dimensional simulation display sand table of a database, so that the breeze vibration condition of each network point can be visually seen.
2. The method for analyzing the aeolian vibration data of the power transmission line according to claim 1, wherein the wind speed of aeolian vibration is between 0.4 and 12 m/s.
3. The method for analyzing the aeolian vibration data of the power transmission line according to claim 1, wherein said real-time abnormal fluctuation data is a real-time abnormal vibration frequency and a real-time abnormal vortex frequency of a wire.
4. The method as claimed in claim 1, wherein the linear model of the linear fitting function calculated by the reference basis group and the early warning analysis function is a generalized polynomial with parameter b as coefficient, i.e. y ═ f (X; b) ═ b1g1(X) + b2g2(X) +. bngn (X), where g1(X), g2(X),. gn (X) are N linear independent continuous functions.
5. The method for analyzing the aeolian vibration data of the power transmission line according to claim 1, wherein historical monitoring data are vibration frequency data and vortex frequency data of a lead passing by more than one week at the end of the power transmission line; if the time is less than one week, the data is real-time data.
6. The utility model provides a transmission line breeze vibration data analysis device, its characterized in that, the device is based on to transmission line karman swirl in the leeward side is alternative from top to bottom, arouses the monitoring data and the unusual fluctuation data of alternating force from top to bottom, the device includes:
breeze vibration monitoring module: the first link for the analysis method: the method comprises the following steps of connecting a breeze vibration monitoring database of a transmission line end, and inquiring real-time monitoring data and historical monitoring data of the transmission line end connected with a network; the real-time monitoring data and the historical monitoring data of the grid-connected power transmission line end are vibration frequency and vortex frequency of a lead;
a reference number calculation module: the second link for the analysis method: dividing the sum of the percentage of the real-time abnormal fluctuation data in the breeze vibration monitoring database to the base value of the vortex good sequence frequency f0 and the percentage of the historical monitoring abnormal fluctuation data in the base value of the vortex good sequence frequency f0 by 2 to obtain the reference number of the current real-time abnormal fluctuation data value;
a fitting function calculation module: a third link for the analysis method: carrying out mean value calculation on the reference number according to the vibration frequency and vortex frequency of the lead to obtain a reference base number group, and calculating a linear fitting function and a nonlinear fitting function according to the reference base number group and an early warning analysis function;
a contrast value standard matching module: a fourth link for the analysis method: calculating real-time deviation values of the vibration frequency and the vortex frequency of the real-time monitoring data according to a linear fitting function, comparing the real-time abnormal fluctuation reference data value with the real-time deviation values, and calculating a comparison value of the real-time abnormal fluctuation reference data value and the real-time deviation values, wherein if the comparison value is lower than the minimum standard value of the breeze vibration early warning by 10%, the risk coefficient is light; if the contrast value is 10-30% higher than the minimum warning standard value, the anti-fatigue coefficient of the breeze vibration is low and needs to be improved; if the height is 30-50%, maintenance treatment is needed in the near term; if the content is higher than 50%, the related accessories need to be replaced;
a three-dimensional simulation module: and a comparison value obtained by comparing a real-time abnormal fluctuation reference data value of a power transmission line end connected with the network with a real-time deviation value is input into a group designated by a user for group comparison, and is marked through a three-dimensional simulation display sand table of a database, so that the breeze vibration condition of each network point can be visually seen.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114048261A (en) * | 2021-09-22 | 2022-02-15 | 国家能源集团乐东发电有限公司 | Vibration vector early warning value determination method and system based on data description |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114048261A (en) * | 2021-09-22 | 2022-02-15 | 国家能源集团乐东发电有限公司 | Vibration vector early warning value determination method and system based on data description |
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