CN114662324A - Auxiliary design method for insulating tubular bus structure based on industrial information and data - Google Patents

Auxiliary design method for insulating tubular bus structure based on industrial information and data Download PDF

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CN114662324A
CN114662324A CN202210318111.1A CN202210318111A CN114662324A CN 114662324 A CN114662324 A CN 114662324A CN 202210318111 A CN202210318111 A CN 202210318111A CN 114662324 A CN114662324 A CN 114662324A
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张鑫
汤卫明
邵锦明
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Yangzhou Hongshun Electric Apparatus Co ltd
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Abstract

The invention relates to the technical field of electric digital data processing, in particular to an auxiliary design method of an insulating tubular bus structure based on industrial information and data; the method is a digital computing device or a data processing method which is particularly suitable for specific functions and assisted by a computer; the method can realize internet data services such as big data resource service, database service, cloud database service and the like, and can also be used for cloud computing software, new-generation intelligent massive information search software, data mining software and cloud fusion application operation support platform software. The stability of each support on the insulating tubular busbar line is analyzed to obtain normal points and characteristic points in all the supports, a plurality of matching point pairs are obtained by matching the characteristic information of each characteristic point with the normal points, each group of matching point pairs are correspondingly adjusted, and the safety and the stability of the line are guaranteed while the wiring cost is controlled.

Description

Auxiliary design method for insulating tubular bus structure based on industrial information and data
Technical Field
The invention relates to the technical field of electric digital data processing, in particular to an auxiliary design method of an insulating tubular bus structure based on industrial information and data.
Background
With the rapid development of economy in China, the demand of the whole society on electric power is increasing day by day. The flexible connection occurs because the tubular bus tube is slightly deformed and mechanically displaced by the heat of use. The flexible connection may be used for connection between the tubular bus bar and electrical equipment, such as transformer equipment and high and low voltage cabinets. In a transmission line, because flexible connection is fragile and does not have the wind and frost resistance of tubular buses, the tubular buses are connected through embedded conductive tubes, and in this case, if assembly errors occur or other external vibration influences occur, a series of problems of heat generation, discharge, short circuit and the like easily occur in the conductive process, so that power transmission is blocked.
The placing mode of most cast generating lines on present circuit is the support formula, compares in the suspension type, and the support formula is placed the generating line support more singly, and the construction degree of difficulty is little and the degree of difficulty of operation and maintenance is also little, but the shock resistance and the wind resistance performance of the generating line of support formula are relatively poor, when meetting the condition of strong wind, probably cause the destruction to the support to influence the transmission of generating line. Although the suspended bus bar can solve the problem well, the suspended bus bar is too high in cost compared with the supporting bus bar, and is not beneficial to large-scale use, so that two bus bar placing modes need to be balanced under the condition that the circuit is stable.
Disclosure of Invention
In order to solve the technical problems, the invention aims to provide an auxiliary design of an insulated tubular bus structure based on industrial information and data, and the method comprises the following steps:
obtaining the vibration acceleration corresponding to each support on the insulated pipe type bus line in a period of time to form an acceleration sequence; obtaining instability corresponding to each bracket according to the acceleration sequence;
acquiring a voltage value corresponding to each bracket, acquiring a voltage change characteristic corresponding to each bracket according to the voltage values of all the brackets, and acquiring the interference degree of each bracket according to the voltage change characteristic and the instability of each bracket; the bracket with the zero interference degree is a normal point, and the bracket with the non-zero interference degree is a characteristic point;
acquiring characteristic information of each characteristic point, wherein the characteristic information comprises the sum of the distances between the characteristic point and two adjacent brackets, the voltage difference between the two adjacent brackets of the characteristic point and the damping ratio corresponding to the characteristic point; acquiring the clustering degree of the feature points according to the feature information of each feature point;
dividing all the feature points into two categories based on the grouping degree corresponding to each feature point; calculating the average value of the damping ratio of all the feature points in each category, wherein the category with the smaller average value of the damping ratio is the category to be strengthened;
and matching the characteristic points in the category to be strengthened with the normal points, wherein the characteristic points which are successfully matched with the corresponding normal points form a group of matched point pairs, and correspondingly adjusting all the matched point pairs.
Preferably, the step of obtaining the instability corresponding to each of the supports according to the acceleration sequence includes:
acquiring the range and the mean value of elements in the acceleration sequence corresponding to each support, and acquiring the mean square error corresponding to the acceleration sequence according to the mean value; and acquiring the instability corresponding to the support based on the range and the mean square error.
Preferably, the step of obtaining the voltage variation characteristic corresponding to each of the stents according to the voltage values of all the stents includes:
and obtaining the voltage values corresponding to all the supports to form a voltage change sequence, and filtering the voltage change sequence to obtain the voltage change characteristics corresponding to each support.
Preferably, the interference level is positively correlated with the voltage variation characteristic and positively correlated with the instability.
Preferably, the step of obtaining the clustering degree of the feature points according to the feature information of each feature point includes:
obtaining the feature difference of any two feature points based on the difference between the feature information of the two feature points; and acquiring the sum of the feature differences between any feature point and all other feature points, wherein the sum of the feature differences is the clustering degree of the feature points.
Preferably, the step of obtaining the feature difference of two feature points based on the difference between the feature information of any two feature points includes:
the method for acquiring the characteristic difference comprises the following steps:
Figure BDA0003566843090000021
wherein r (a, B) represents a feature difference between the a-th feature point and the B-th feature point; Δ uARepresenting the voltage difference between two adjacent brackets of the A-th characteristic point; Δ uBRepresenting the voltage difference between two adjacent brackets of the B-th characteristic point; drARepresenting the sum of the distances between the A characteristic point and two adjacent brackets; drBRepresenting the sum of the distances between the B-th characteristic point and two adjacent brackets; a is aARepresenting the acceleration sequence corresponding to the A-th characteristic point; a isBRepresenting the acceleration sequence corresponding to the B-th characteristic point; zetaARepresenting the damping ratio corresponding to the A-th characteristic point; zetaBRepresenting the damping ratio corresponding to the B-th characteristic point; e represents a natural constant; α represents a correction coefficient; MSD is used to calculate the difference distance between the two sequences; tanh is used to normalize the damping ratio difference.
Preferably, the step of matching the feature points in the category to be enhanced with the normal points includes:
obtaining the edge weight value between the feature point and each normal point as follows:
Figure BDA0003566843090000031
g (A, Z) represents an edge weight value between the A-th characteristic point and the Z-th normal point; zetaARepresenting the damping ratio of the A-th characteristic point; zetaZRepresents the damping ratio of the Z-th normal point; dA，ZRepresenting the distance between the A-th characteristic point and the Z-th normal point; e represents a natural constant; t isZIs shown asInstability of Z normal points; tanh is used for normalization calculation;
and when the edge weight value is maximum, the feature point is successfully matched with the normal point.
The invention has the following beneficial effects: the embodiment of the invention is a digital computing device or a data processing method which is particularly suitable for specific functions and assisted by a computer; the method can realize internet data services such as big data resource service, database service, cloud database service and the like, and can also be used for cloud computing software, new-generation intelligent massive information search software, data mining software and cloud fusion application operation support platform software. The method comprises the steps of obtaining the interference degree of each support through the instability and voltage change characteristics of each support in an insulated tubular bus line, obtaining normal points and feature points based on the interference degree of each support, classifying through the difference of feature information among the feature points to obtain a category to be reinforced, matching all the feature points and the normal points in the category to be reinforced to obtain a plurality of matching pairs for corresponding adjustment, finding abnormal supports in time based on the feature information of each support, increasing the accuracy and the real-time performance of data analysis, processing the abnormal supports in time, reducing the probability of accidents, and ensuring the safety and the stability of the line while controlling the wiring cost of the line.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions and advantages of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for auxiliary design of an insulated tubular bus structure based on industrial information and data according to an embodiment of the present invention.
Detailed Description
In order to further explain the technical means and effects of the present invention adopted to achieve the predetermined purpose, the following detailed description, the structure, the features and the effects of the method for designing an insulating tubular busbar structure based on industrial information and data according to the present invention are provided with the accompanying drawings and the preferred embodiments. In the following description, the different references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
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 invention belongs.
The method is suitable for line analysis of the insulated tubular bus, the interference degree corresponding to each support on the insulated tubular bus line is obtained, so that the characteristic points are obtained according to the interference degree, the grouping degree of the characteristic points is obtained based on the characteristic information of each characteristic point, all the characteristic points are divided into two categories according to the grouping degree, the characteristic points in the category to be strengthened are matched with the normal points to obtain a plurality of matching pairs, and corresponding adjustment is carried out based on the matching pairs which are successfully matched; the wiring cost of the circuit is controlled, and meanwhile, the safety and the stability of the circuit are guaranteed.
The specific scheme of the auxiliary design method of the insulated tubular bus structure based on the industrial information and data is specifically described below with reference to the accompanying drawings.
Referring to fig. 1, a flowchart of a method for auxiliary design of an insulated tubular bus structure based on industrial information and data according to an embodiment of the present invention is shown, where the method includes the following steps:
s100, acquiring vibration acceleration corresponding to each support on an insulated tubular bus line within a period of time to form an acceleration sequence; and obtaining the corresponding instability of each bracket according to the acceleration sequence.
Specifically, when weather is severe, for example, wind force is strong, etc., the insulated tubular bus line may vibrate, and when the vibration is strong, the safety of the insulated tubular bus may be affected to some extent; and because the continuity of tubular busbar, vibrations can produce the transmission to cause the influence to two supports near insulating tubular busbar, consequently carry out the analysis to every support on the insulating tubular busbar that the wiring is accomplished.
In the embodiment of the invention, a vibration sensor is arranged on each bracket and used for collecting the acceleration of each bracket caused by vibration, and because the acceleration has directionality, each bracket corresponds to an acceleration vector at a certain moment and is represented as follows: a is at＝(ax，ay，az) (ii) a Wherein, atRepresenting the acceleration vector corresponding to the bracket at the t-th moment; a isxRepresenting the acceleration of the bracket in the x-axis direction; a is ayRepresenting the acceleration of the support in the y-axis direction; a iszIndicating the corresponding acceleration of the stent in the z-axis direction.
In order to improve the accuracy of the analysis, the acceleration sequence corresponding to a plurality of moments in time of each support is obtained and is expressed as a ═ a1，a2，a3，…，at}; wherein, a1Representing the acceleration vector corresponding to the 1 st moment of the support; a istRepresenting the acceleration vector corresponding to the stent at the t-th moment.
Preferably, in the embodiment of the present invention, the acceleration acquisition time of each support is set to be 10 seconds, and the acquisition frequency is set to be 5Hz, that is, acceleration information is acquired every 0.2 seconds.
Further, acquiring the range and the mean value of elements in the acceleration sequence corresponding to each support, and acquiring the mean square error corresponding to the acceleration sequence according to the mean value; and acquiring the corresponding instability of the support based on the range difference and the mean square error.
Determining whether the state of each support is stable or not according to the acquired acceleration information, calculating the range and the mean value of elements in the acceleration sequence corresponding to each support, further acquiring the mean square error corresponding to each acceleration sequence according to the mean value, and acquiring the instability of each support based on the range and the mean square error:
Figure BDA0003566843090000051
wherein T represents the instability of the scaffold; a is atRepresenting the acceleration vector corresponding to the support at the t-th moment; a ist-1Representing the acceleration vector corresponding to the bracket at the t-1 st moment; std (a) represents the mean square error of the acceleration sequence corresponding to the stent; range (a) represents the range of the acceleration sequence corresponding to the stent; SIM denotes cosine similarity.
It should be noted that, in the embodiment of the present invention, the acceleration information corresponding to the stent at each time is an acceleration vector, so when calculating the instability of each stent, the mean square error of the acceleration sequence is the sum of the mean square errors calculated for each element in the acceleration vector, that is, the mean square errors corresponding to the acceleration sequence in the directions of the x axis, the y axis, and the z axis are calculated, and then the sum is performed to obtain the mean square error of the acceleration sequence corresponding to the stent. Accordingly, the range of the acceleration sequence calculates a sum of the ranges for each element in the acceleration vector. When the value of the instability T obtained through calculation is larger, the vibration condition of the insulating tubular bus is more serious. And by analogy, acquiring the instability corresponding to each support in the complete routing.
Step S200, collecting a voltage value corresponding to each support, obtaining a voltage change characteristic corresponding to each support according to the voltage values of all the supports, and obtaining the interference degree of the supports according to the voltage change characteristic and instability of each support; the support with zero interference degree is a normal point, and the support with non-zero interference degree is a characteristic point.
Because the length of the insulating tubular bus is limited, bus connection is often required in the process of carrying out long-distance power transmission, and the connection mode is generally carried out through an embedded conductive tube. However, the insulating tubular busbar operates outdoors for a long time, which may lead to loosening of the intermediate joint, heating, discharge, etc., and the vibration of the insulating tubular busbar may accelerate the occurrence of these conditions, so that different levels of power loss may occur.
And obtaining voltage values corresponding to all the supports to form a voltage change sequence, and filtering the voltage change sequence to obtain voltage change characteristics corresponding to each support.
Specifically, a voltage value is measured at each support on the complete wiring, in the embodiment of the invention, a non-contact voltage detector is used for obtaining the voltage value at each support, and the voltage values corresponding to all the supports form a voltage change sequence; the voltage variation characteristics at each stent are determined by analyzing the voltage values in the sequence of voltage variations.
Further, filtering is carried out on the voltage change sequence, and a convolution kernel of the filtering is set to be {1, -2, 1 }; carrying out convolution processing according to the convolution kernel and the voltage change sequence, and carrying out absolute value processing on the obtained convolution result, thereby obtaining a voltage change characteristic sequence corresponding to the voltage change sequence:
Up＝{up1，up2，up3，…，upi}
therein, up1Showing the voltage change characteristics corresponding to the 1 st bracket; up2Representing the voltage change characteristic corresponding to the 2 nd bracket; upiShowing the voltage change characteristics corresponding to the ith stent.
It should be noted that each element value in the voltage change characteristic sequence after the filtering processing is used to represent the stability of the change, when the voltage change sequence remains unchanged or the variation amount is substantially the same, the element in the voltage change characteristic sequence is zero, when the element in the voltage change sequence is unstable, the result of the element in the corresponding voltage change characteristic sequence is nonzero, and each element corresponds to one stent, so as to obtain the voltage change characteristic corresponding to each stent.
Further, the more violent the vibration is, the more the influence on the insulated tubular bus on the line is, so that an accident situation on the line can be caused, and the interference degree and the voltage change characteristic are in a positive correlation relationship and an instability is in a positive correlation relationship; calculating the interference degree of each bracket influenced as follows:
H＝T*up
wherein H represents the interference degree of the bracket; t represents the corresponding instability of the stent; up represents the corresponding voltage variation characteristic of the stent.
Based on the method for calculating the same interference degree, acquiring the interference degrees corresponding to all the supports on the line, and when the interference degree is zero, indicating that the stable state of the support is good and the voltage is stable, and recording the position of the support with the interference degree of zero as a normal point; when the interference degree is nonzero, the stable state of the support is poor and the voltage change is large, so that the position of the support with the non-zero interference degree is a fault easy-to-occur point and is marked as a characteristic point.
Step S300, acquiring characteristic information of each characteristic point, wherein the characteristic information comprises the sum of the distances between the characteristic point and two adjacent brackets, the voltage difference between the two adjacent brackets of the characteristic point and the damping ratio corresponding to the characteristic point; and acquiring the clustering degree of the characteristic points according to the characteristic information of each characteristic point.
The positions of all the racks on the line where the fault is likely to occur, that is, all the feature points, are obtained in step S200. Acquiring characteristic information of each characteristic point, wherein the characteristic information comprises the sum of the distances between the characteristic point and two adjacent brackets, the voltage difference between the two adjacent brackets of the characteristic point and the damping ratio corresponding to each characteristic point; the sum of the distances between the characteristic point and two adjacent brackets and the voltage difference between the two adjacent brackets of the characteristic point are calculated as follows:
Δu＝|ui+1-ui-1|
Dr＝Di+Di+1
wherein, Δ u represents the voltage difference between two adjacent brackets of the characteristic point; u. ofi+1Representing the voltage value corresponding to the next adjacent bracket of the characteristic point; u. ofi-1Representing the voltage value corresponding to the previous adjacent bracket of the characteristic point; dr represents the sum of the distances between the characteristic point and two adjacent brackets; diRepresenting the distance between the characteristic point and the adjacent bracket before the characteristic point; di+1Indicating the distance between the feature point and the next adjacent stent.
Furthermore, in the embodiment of the present invention, a sinusoidal scanning method is used to obtain the damping ratio corresponding to each support on the line, the sinusoidal scanning method is a prior art, and in other embodiments, other commonly used means may be used to obtain the damping ratio.
Obtaining the feature difference of two feature points based on the difference between the feature information of any two feature points; and acquiring the sum of the feature differences between any feature point and all other feature points, wherein the sum of the feature differences is the clustering degree of the feature points.
Specifically, the feature difference between every two feature points is calculated based on the feature information between every two feature points as follows:
Figure BDA0003566843090000071
wherein r (a, B) represents a feature difference between the a-th feature point and the B-th feature point; Δ uARepresenting the voltage difference between two adjacent brackets of the A-th characteristic point; Δ uBRepresenting the voltage difference between two adjacent brackets of the B-th characteristic point; drARepresenting the sum of the distances between the A-th characteristic point and two adjacent brackets; drBRepresenting the sum of the distances between the B-th characteristic point and two adjacent brackets; a isARepresenting the acceleration sequence corresponding to the A-th characteristic point; a isBRepresenting the acceleration sequence corresponding to the B-th characteristic point; zetaARepresenting the damping ratio corresponding to the A-th characteristic point; ζ represents a unitBRepresenting the damping ratio corresponding to the B-th characteristic point; e represents a natural constant; alpha represents a correction coefficient, and a specific numerical value is set by an implementer; MSD is used to calculate the difference distance between the two sequences; tanh is used to normalize the damping ratio difference.
Preferably, α ═ 2 is set in the embodiment of the present invention.
It should be noted that, when calculating the feature difference, the difference of the distances is introduced to reduce the difference between the power losses caused by the different distances, so that the feature difference is more accurate.
Based on the same method for calculating the feature difference between any two feature points, the feature difference between any feature point and all other feature points is obtained to obtain the clustering degree of the feature points as follows:
Figure BDA0003566843090000072
wherein R isARepresenting the grouping degree corresponding to the A-th characteristic point; r (a, X) represents a feature difference between the a-th feature point and an arbitrary X-th feature point.
Similarly, the same method is used to obtain the clustering degree corresponding to all feature points.
Step S400, dividing all feature points into two categories based on the grouping degree corresponding to each feature point; and calculating the average value of the damping ratio of all the characteristic points in each category, wherein the category with the smaller damping ratio is the category to be enhanced.
Specifically, the grouping degree corresponding to each feature point is obtained in step S300, a difference value between the grouping degrees corresponding to each two feature points is used as a difference distance between the two feature points, and all the feature points are clustered based on the obtained difference distances.
In the embodiment of the invention, all the feature points are clustered by adopting a k-means clustering algorithm, and the clustering class is set to be 2, so that the feature points of two classes are obtained.
Further, the state of the characteristic points is judged according to the damping ratio corresponding to the characteristic points in each category, the damping ratio mean value corresponding to all the characteristic points in each category is calculated, vibration can be adjusted by increasing the damping ratio when the damping ratio is small, vibration cannot be resisted by adjusting the damping ratio when the damping ratio is large, and the connection mode of the support is changed from a support mode to a suspension mode. Thus one class with a larger damping than the mean is labeled as the alternate class and one class with a smaller damping than the mean is labeled as the to-be-enhanced class.
And step S500, matching the characteristic points and the normal points in the category to be strengthened, wherein the characteristic points and the corresponding normal points which are successfully matched form a group of matched point pairs, and correspondingly adjusting all the matched point pairs.
Further analyzing all the feature points in the category to be enhanced, matching the feature points in the category to be enhanced with all the normal points by using a KM matching algorithm in the embodiment of the invention; acquiring damping ratios corresponding to all the normal points, wherein the side weight value is acquired based on the damping ratio of the normal points and the damping ratio of the characteristic points:
Figure BDA0003566843090000081
g (A, Z) represents an edge weight value between the A-th characteristic point and the Z-th normal point; zetaARepresenting the damping ratio of the A-th characteristic point; zetaZRepresents the damping ratio of the Z-th normal point; dA，ZRepresenting the distance between the A-th characteristic point and the Z-th normal point; e represents a natural constant; t isZIndicating instability of the Z normal point; tanh is used for normalization calculations.
The KM matching is carried out based on the edge weight value between each characteristic point and each normal point, and the larger the edge weight value is, the more easily the characteristic points are matched into a group of matching point pairs, so that a plurality of groups of matching point pairs are obtained, wherein each matching point pair comprises one characteristic point and one normal point.
Adjusting the matching point pair successfully matched, enhancing the damping ratio at the characteristic point to reduce the influence of vibration, and adjusting the damping ratio at the characteristic point as follows:
Figure BDA0003566843090000082
wherein ζ' represents the damping ratio corresponding to the feature point after adjustment; ζ represents the damping ratio corresponding to the feature point at this time; t represents the instability corresponding to the characteristic point; g represents the edge weight value between the characteristic point and the normal point; δ represents an empirical coefficient, and is set by the practitioner.
Preferably, δ is set to 3 in the embodiment of the present invention
Further, because the normal point is fixed comparatively firmly, probably not produce the resonance during vibrations thereby the destructiveness that leads to this normal point to receive is stronger to can influence the structure of this normal support, consequently weaken the damping ratio of the support of this normal point:
Figure BDA0003566843090000091
therein, ζd' represents the corresponding damping ratio of the normal point after adjustment; ζ represents a unitdRepresenting the damping ratio corresponding to the normal point at the moment; t represents the instability of the feature point corresponding to the successfully matched feature point; g represents the edge weight value between the characteristic point and the normal point;
Figure BDA0003566843090000092
the empirical coefficients are set by the practitioner.
Preferably, the device is arranged in the embodiment of the invention
Figure BDA0003566843090000093
Correspondingly adjusting all matching point pairs which are successfully matched by analogy; and performing vibration test on the whole adjusted line again, judging whether each support is vibrated due to wind power or has large electric energy loss, and performing the same treatment on the supports again to perform matching adjustment if the supports which are unstable and have large electric energy loss still exist until all the supports are adjusted.
It should be noted that, when the matching adjustment is performed subsequently, the previously matched bracket should be excluded; when the state of the support is still unstable after multiple adjustments, a worker needs to detect the conductive tube near the support to eliminate the influence caused by the damage of the conductive tube; if the conductive tube is not damaged, the connection mode of the support is changed from a support mode to a suspension mode, so that the support is stable in state.
In summary, in the embodiment of the present invention, the instability of each support is obtained by obtaining the acceleration sequence corresponding to each support on the insulated tubular busbar line; and acquiring a voltage value corresponding to each support, acquiring voltage change characteristics of each support based on the voltage values corresponding to all the supports, and further acquiring interference degree corresponding to each support, wherein when the interference degree is not zero, the support is a fault easy-to-occur point and is marked as a characteristic point for subsequent analysis. The method comprises the steps of obtaining feature information of each feature point, obtaining the grouping degree of the feature points based on the feature information of each feature point, classifying all the feature points according to the difference between the grouping degrees of the feature points to obtain two categories, obtaining a category to be strengthened according to the damping ratio corresponding to each feature point in each category, matching the feature points in the category to be strengthened with normal points to obtain a plurality of matching pairs, and accordingly carrying out corresponding adjustment based on the matching pairs which are successfully matched. When the wiring cost of the circuit is controlled, the safety and the stability of the circuit are guaranteed, the position with faults is obtained through the characteristic information of each support, the fault is timely processed, and the occurrence of accidents is reduced.
It should be noted that: the sequence of the above embodiments of the present invention is only for description, and does not represent the advantages or disadvantages of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (7)

1. An auxiliary design method for an insulating tubular bus structure based on industrial information and data is characterized by comprising the following steps:
obtaining the vibration acceleration corresponding to each support on the insulated pipe type bus line in a period of time to form an acceleration sequence; obtaining instability corresponding to each bracket according to the acceleration sequence;
collecting a voltage value corresponding to each bracket, obtaining a voltage change characteristic corresponding to each bracket according to the voltage values of all the brackets, and obtaining the interference degree of each bracket according to the voltage change characteristic and the instability of each bracket; the bracket with the zero interference degree is a normal point, and the bracket with the non-zero interference degree is a characteristic point;
acquiring characteristic information of each characteristic point, wherein the characteristic information comprises the sum of distances between the characteristic point and two adjacent brackets, the voltage difference between the two adjacent brackets of the characteristic point and the damping ratio corresponding to the characteristic point; acquiring the clustering degree of the feature points according to the feature information of each feature point;
dividing all the feature points into two categories based on the grouping degree corresponding to each feature point; calculating the average value of the damping ratio of all the feature points in each category, wherein the category with the smaller average value of the damping ratio is the category to be strengthened;
and matching the characteristic points in the category to be strengthened with the normal points, wherein the characteristic points which are successfully matched with the corresponding normal points form a group of matched point pairs, and correspondingly adjusting all the matched point pairs.
2. The method of claim 1, wherein said step of deriving the instability corresponding to each of said stents from said acceleration sequence comprises:
acquiring range and mean values of elements in the acceleration sequence corresponding to each support, and acquiring mean square error corresponding to the acceleration sequence according to the mean values; and acquiring the instability corresponding to the support based on the range and the mean square error.
3. The method of claim 1, wherein the step of deriving the voltage variation characteristic corresponding to each of the stents from the voltage values of all of the stents comprises:
and obtaining the voltage values corresponding to all the supports to form a voltage change sequence, and filtering the voltage change sequence to obtain the voltage change characteristic corresponding to each support.
4. The method of claim 1, wherein the degree of interference is positively correlated with the voltage change characteristic and positively correlated with the instability.
5. The method according to claim 1, wherein the step of obtaining the degree of clustering of the feature points according to the feature information of each feature point comprises:
obtaining the feature difference of any two feature points based on the difference between the feature information of the two feature points; and acquiring the sum of the feature differences between any feature point and all other feature points, wherein the sum of the feature differences is the clustering degree of the feature points.
6. The method according to claim 5, wherein the step of obtaining the feature difference of two feature points based on the difference between the feature information of any two feature points comprises:
the method for acquiring the characteristic difference comprises the following steps:
Figure FDA0003566843080000021
wherein r (a, B) represents a feature difference between the a-th feature point and the B-th feature point; Δ uARepresenting the voltage difference between two adjacent brackets of the A-th characteristic point; Δ uBRepresenting the voltage difference between two adjacent brackets of the B-th characteristic point; drAShowing the A-th feature point and its phaseThe sum of the distances between two adjacent brackets; drBRepresenting the sum of the distances between the B-th characteristic point and two adjacent brackets; a is aARepresenting the acceleration sequence corresponding to the A-th characteristic point; a is aBRepresenting the acceleration sequence corresponding to the B-th characteristic point; ζ represents a unitARepresenting the damping ratio corresponding to the A-th characteristic point; zetaBRepresenting the damping ratio corresponding to the B-th characteristic point; e represents a natural constant; α represents a correction coefficient; MSD is used to calculate the differential distance between two sequences; tanh is used to normalize the damping ratio difference.
7. The method according to claim 1, wherein the step of matching the feature points in the category to be enhanced with the normal points comprises:
obtaining the edge weight value between the feature point and each normal point as follows:
Figure FDA0003566843080000022
g (A, Z) represents an edge weight value between the A-th characteristic point and the Z-th normal point; zetaARepresenting the damping ratio of the A-th characteristic point; zetaZRepresents the damping ratio of the Z-th normal point; dA，ZRepresenting the distance between the A-th characteristic point and the Z-th normal point; e represents a natural constant; t is a unit ofZIndicating instability of the Z normal point; tanh is used for normalization calculation;
and when the edge weight value is maximum, the feature point is successfully matched with the normal point.
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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113110386A (en) * 2021-04-19 2021-07-13 重庆大学 GIS/GIL equipment mechanical vibration state on-line monitoring and mechanical fault cloud diagnosis system
CN114047410A (en) * 2021-08-25 2022-02-15 国网电力科学研究院武汉南瑞有限责任公司 Mechanical vibration simulation system and method for GIS/GIL equipment

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113110386A (en) * 2021-04-19 2021-07-13 重庆大学 GIS/GIL equipment mechanical vibration state on-line monitoring and mechanical fault cloud diagnosis system
CN114047410A (en) * 2021-08-25 2022-02-15 国网电力科学研究院武汉南瑞有限责任公司 Mechanical vibration simulation system and method for GIS/GIL equipment

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
卞超等: "基于有限元的GIS母线不对中机械振动特性研究", 《高压电器》 *
齐卫东等: "基于有限元的GIS水平母线外壳振动仿真研究", 《高压电器》 *

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