Signal triggering sequence generation method and device based on transformer substation monitoring system

Abstract

The invention belongs to the technical field of transformer substation monitoring system detection, and particularly relates to a signal triggering sequence generation method and device based on a transformer substation monitoring system. The method comprises the following steps: taking position coordinates of signal points and primitive areas of the signal points as characteristic values in a monitoring picture of a substation monitoring system; dividing each signal point in the monitoring picture into each aggregation set by taking the shortest distance between the characteristic values as a division principle through an aggregation algorithm; and for each aggregation set, solving a corresponding shortest path when traversing each signal point in the aggregation set, and obtaining a signal triggering sequence in the aggregation set according to a traversing sequence of the shortest path. The signal points are triggered through the method, the situation that point missing is caused by random triggering of the signal points can be avoided, the situation that point alignment is wrong due to the fact that capturing cannot be conducted in time due to the fact that the signal change position leaps too much can be avoided, the requirement for attention of point alignment personnel is lowered, and fatigue of the point alignment personnel is not likely to be caused.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of detection of substation monitoring system, and particularly relates to a signal trigger sequence generation method and device based on a substation monitoring system. BACKGROUND

[0002] With the rapid development of the related technologies of the intelligent level of primary and secondary equipment and intelligent substations, the number of signals collected by the substation monitoring system increases sharply, and according to statistics, about ten thousand signals need to be collected in a 110kV substation, and the signals will increase exponentially with the increase of voltage level. Usually, the correctness of these signals is verified based on the sequence trigger of the database, but the signals that the field operation and maintenance personnel need to focus on are selected from these signals and displayed in the monitoring screen as shown in the figure. Figure 1

[0003] There are two kinds of automatic trigger modes based on the screen at present: the first kind is to obtain all the signals of the screen and trigger them in turn according to the obtained sequence; and the second kind is to trigger them in turn according to the coordinates of the positions where the signals are obtained. The first kind of trigger verification mode is random in signal change position, which is difficult for the human eye to capture, causing the checking personnel to miss the signal change and failing to achieve the purpose of checking the points; and the second kind of trigger mode is based on the change of single-dimensional coordinates, and the signal change position may jump greatly, which requires the attention of the checking personnel to be very concentrated, and is easy to cause the checking personnel to be tired, and the checking effect is very poor.

[0004] Based on the above reasons, the signal trigger by the automatic trigger mode has low accuracy and reliability, and the applicability is not high in the actual application scene. Therefore, the signals of these screens still rely on a large number of manual trigger modes, which not only causes a huge workload to the field personnel, but also has low checking efficiency and low checking accuracy. SUMMARY

[0005] The present application aims to provide a signal trigger sequence generation method and device based on a substation monitoring system, which solves the problem that in the prior art, when the signal points in the substation monitoring system are triggered, not only a huge workload is caused to the field personnel, but also the checking efficiency is low, and the checking accuracy is difficult to guarantee.

[0006] In order to achieve the above-mentioned purpose, the present application provides a signal trigger sequence generation method based on a substation monitoring system, which comprises: The position coordinates of each signal point and the graphic element area of the signal point in the monitoring screen of the substation monitoring system are taken as characteristic values; and by using an aggregation algorithm, each signal point in the monitoring screen is divided into each aggregation set according to the principle that the distance between the characteristic values is the nearest; ​For each aggregated set, a shortest path corresponding to traversing each signal point in the aggregated set is calculated, and a signal triggering sequence in the aggregated set is obtained according to the traversal order of the shortest path.

[0007] Beneficial effects: The application provides a novel signal triggering sequence generation method based on a substation monitoring system, which considers the aggregation principle of smaller coordinate gap and smaller figure area gap, which is more in line with the human eye tracking habit, that is, the human eye will pay more attention to other signal points that are closer to the current triggered signal point and have smaller figure area gap when tracking, so the method aggregates the signal points according to the principle of smaller coordinate gap and smaller figure area gap to aggregate each signal point in the monitoring picture into different regions, and then determines the triggering sequence by using the shortest path algorithm in each region.

[0008] In fact, the method can first aggregate the dispersed signal points into a region that can be better captured by the human eye, and the change of the signal in the region can be immediately observed, and the triggering sequence determined by the shortest path algorithm can ensure that after the current signal point is triggered, the next triggered signal point is the one that is most in line with the human eye tracking habit and is more likely to be paid attention to by the point personnel, rather than random triggering or jump triggering. By triggering the signal points by the method, the situation of missing points caused by random triggering of signal points can be avoided, and the situation of missing points caused by too large jump of signal change position can also be avoided, which reduces the attention requirement of the point personnel and is not easy to cause fatigue of the point personnel.

[0009] Further, the way of calculating the shortest path corresponding to traversing each signal point in the aggregated set comprises: Taking a signal point in the aggregated set as an initial point, finding a signal point in the aggregated set that is closest to the initial point in feature value and has not been added to the path, adding the signal point to the path and taking the signal point as the latest point in the path; repeatedly finding a signal point in the aggregated set that is closest to the latest point in the current path in feature value and has not been added to the path, adding the signal point to the path and updating the latest point in the current path, until all signal points in the aggregated set are added to the path; taking the current path as the shortest path corresponding to traversing each signal point in the aggregated set.

[0010] Further, the way of dividing each signal point in the monitoring picture into each aggregated set by the aggregation algorithm according to the principle of the closest distance between feature values comprises: 1) Selecting a set number of signal points in the monitoring picture as aggregation centers; 2) Calculating the distance between the feature values of other signal points in the monitoring picture and each aggregation center, and dividing each signal point into the aggregated set corresponding to the aggregation center with the closest distance between the feature values. 3) reselect the aggregation center in each aggregation set according to the distance between the eigenvalues of each signal point in the aggregation set; 4) as long as the distance between the eigenvalues of the original aggregation center of a certain aggregation set and the new aggregation center is greater than a set threshold, re-perform steps 2)-3), until the distance between the eigenvalues of the original aggregation center of each aggregation set and the new aggregation center is less than or equal to the set threshold, then stop iteration; the division result of each signal point in the monitoring picture into each aggregation set is obtained according to the current aggregation set.

[0011] Further, the set threshold is determined according to the ratio of the size of the display used to present the monitoring picture to the set number.

[0012] Further, the set number is in the range of 4 to 6.

[0013] Further, the signal triggering sequence in the aggregation set is obtained in the manner that the traversal order of the shortest path is taken as the signal triggering sequence in the aggregation set from front to back or from back to front.

[0014] The application further provides a signal triggering sequence generation device based on a substation monitoring system, comprising a processor, which is used to execute a computer program to realize the steps of the signal triggering sequence generation method based on the substation monitoring system.

[0015] The signal triggering sequence generation device based on the substation monitoring system can realize the same beneficial effects as the signal triggering sequence generation method based on the substation monitoring system. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 It is a monitoring picture example of the substation monitoring system in the background art of the application; Figure 2 It is a flowchart of the signal triggering sequence generation method based on the substation monitoring system in the embodiment of the signal triggering sequence generation method based on the substation monitoring system of the application; Figure 3 It is a flowchart of the aggregation algorithm in the embodiment of the signal triggering sequence generation method based on the substation monitoring system of the application; Figure 4 It is a flowchart of the shortest path part algorithm based on the aggregation set in the embodiment of the signal triggering sequence generation method based on the substation monitoring system of the application; Figure 5 It is an example diagram of the implementation effect of the signal triggering sequence generation method based on the substation monitoring system in the embodiment of the signal triggering sequence generation method based on the substation monitoring system of the application. DETAILED DESCRIPTION

[0017] In order to make the purposes, technical solutions and advantages of the present application clearer and more apparent, the present application is further described in detail below with reference to the accompanying drawings and embodiments.

[0018] Method for generating signal triggering sequence based on substation monitoring system The embodiment provides a technical scheme of a method for generating a signal triggering sequence based on a substation monitoring system. The main idea of the scheme is as follows: signal points are aggregated according to the habit of human eye tracking, so as to aggregate a picture into multiple regions that are easy to capture by human eyes, and the signal points with the shortest path to the currently triggered signal point are found in the regions, and the sequence of the signal points is the triggering sequence.

[0019] As shown in Figure 2 In the embodiment, the position coordinates of the signal points and the graphic element areas of the signal points in the monitoring picture of the substation monitoring system are taken as characteristic values; the signal points in the monitoring picture are divided into the aggregation sets according to the principle that the distances between the characteristic values are the shortest by using an aggregation algorithm; For each aggregation set, the shortest path corresponding to the traversal of each signal point in the aggregation set is calculated, and the signal triggering sequence in the aggregation set is obtained according to the traversal sequence of the shortest path. The method can aggregate the scattered signal points into regions that are better captured by human eyes, and the changes of the signal in the regions can be immediately observed. The method is used to determine the triggering sequence by using the shortest path algorithm, and the use of the triggering sequence can ensure that, after the current signal point is triggered, the next triggered signal point is the signal point that is most consistent with the habit of human eye tracking and is more likely to be focused on by the point personnel, instead of being randomly triggered or triggered in a jumping manner. By triggering the signal points by using the method, the situation of missing points caused by random triggering of the signal points can be avoided, and the situation of point errors caused by too large jumping of the signal change position can also be avoided, so that the requirement for the attention of the point personnel is reduced, and fatigue of the point personnel is not easily caused. Specifically, by inputting the monitoring system picture information shown in Figure 1 The position coordinates of each signal point in the monitoring picture can be obtained. The position coordinates of each signal point can be represented as (x, y), and the graphic element area of each signal point can be represented as S. According to the position coordinates (x, y) and the graphic element area S of each signal point in the monitoring picture, a three-dimensional coordinate (x, y, S) can be established. After the three-dimensional coordinate is obtained, the signal points are classified and aggregated according to the principle that the distances between the three characteristic values (x, y) and S contained in the three-dimensional coordinate (the distance refers to the distance defined in the aggregation algorithm, and not the actual distance) are the shortest, that is, the aggregation basis, so as to divide the signal points in the monitoring picture into the aggregation sets.

[0020] The reasons for selecting the position coordinates of the signal points and the area of the figure as the basis for aggregation in this embodiment are as follows: ①The position coordinates (x, y) are taken as the characteristic values, considering that the parameters can reflect the actual distances between the signal points. Taking the position coordinates as the basis for aggregation can make the signal points aggregate according to the actual distances between them (i.e., the signal points with close actual distances are aggregated together); ②The area S of the figure is taken as the characteristic value, considering that the parameter can reflect the area size (i.e., the size) of the signal points. The signal points with the same figure area are generally the same type of equipment, which is usually more consistent with human observation habits. Taking the area of the figure as the basis for aggregation can make the signal points with small differences in the area of the figure (i.e., the signal points with the same type or high similarity) aggregate together, which is conducive to observing the changes of the signal points. One of the human eye tracking habits is to track the signal points with close sizes. If the differences in the area of the figure are large, it may occur that the changes of the signal points with one size are ignored due to the focus on the signal points with another size, which is not consistent with the human eye tracking habits.

[0021] In this embodiment, the aggregation operation is implemented by using the aggregation algorithm. Referring to Figure 3 , the way of dividing each signal point in the monitoring picture into each aggregation set by using the aggregation algorithm and taking the closest distance between the characteristic values as the division principle includes: 1) selecting a set number K of signal points from each signal point in the monitoring picture as the aggregation center; 2) calculating the distance between the characteristic values of each aggregation center and the other signal points in the monitoring picture, and dividing each signal point into the aggregation set corresponding to the aggregation center with the closest distance between the characteristic values; 3) reselecting the aggregation center in each aggregation set according to the distance between the characteristic values of each signal point in the aggregation set; 4) as long as the distance between the characteristic values of the original aggregation center and the new aggregation center of a certain aggregation set is greater than a set threshold, re-performing steps 2)-3), until the distance between the characteristic values of the original aggregation center and the new aggregation center of each aggregation set is less than or equal to the set threshold, and then stopping the iteration; obtaining the division result of dividing each signal point in the monitoring picture into each aggregation set according to the current aggregation set.

[0022] In this embodiment, the set threshold is determined according to the ratio of the size of the display for presenting the monitoring picture to the set number. However, in other embodiments, the threshold can also be set artificially. The appropriate threshold determination method can be selected flexibly according to the actual situation.

[0023] The value of the set number K is in the range of 4 to 6.

[0024] In the embodiment, after the aggregation of the signal points is realized by the aggregation algorithm, different aggregation sets (also referred to as aggregation areas) are formed in the monitoring picture. For each aggregation set, the shortest path part algorithm of the aggregation set is used to obtain the triggering sequence of the signal points in the aggregation set.

[0025] The way of obtaining the shortest path corresponding to each signal point in the aggregation set includes: Taking a signal point in the aggregation set as an initial point, a signal point in the aggregation set which is closest to the initial point in terms of the feature value and has not been added to the path is found, added to the path and taken as the latest point in the path; a signal point in the aggregation set which is closest to the latest point in the current path in terms of the feature value and has not been added to the path is found, added to the path and taken as the latest point in the current path, until all the signal points in the aggregation set are added to the path; the current path is taken as the shortest path corresponding to each signal point in the aggregation set. It should be noted that the distance between the feature values mentioned above is consistent with the distance between the feature values in the clustering algorithm, and the feature value includes the coordinate and the area S of the signal point. In short, the signal points of the same type or with high similarity are preferentially triggered.

[0026] Reference Figure 4 In a specific embodiment, the specific steps of obtaining the triggering sequence of the signal points in the aggregation area by the shortest path part algorithm of the aggregation set are as follows: I) All the signal points in an aggregation set can be represented as {P1, P2, P3, …, Pn}, and two sets, set A and set B, are established based on the aggregation set; set A is used to store all the points of the obtained shortest paths and the corresponding path lengths, and set B is used to store the signal points whose path lengths are not obtained. Taking the signal point P1 in set A as an initial point, only P1 is stored in the initial set A (i.e., the initial set A only contains {P1}), and the remaining signal points which are not added to the path are stored in set B, which can be represented as {P2, P3, …, Pn}.

[0027] II) The distances (i.e., path lengths) of the signal point P1 in set A to all the signal points in set B are calculated, the signal point in set B which is closest to P1 in terms of the feature value and has not been added to the path is found, added to the path and put into set A, and the signal point is the latest added signal point Pi in set A; III) The distances of the latest added signal point Pi in set A to all the signal points in set B are calculated, the signal point in set B which is closest to Pi in terms of the feature value and has not been added to the path is found, added to the path and put into set A, and Pi is updated to the signal point at this time; IV) repeat step II) - step III) until set B is empty. At this time, set A has contained all the signal points in the aggregate set, and all the signal points in the aggregate set have been added to the path; then the current path is taken as the corresponding shortest path when traversing each signal point in the aggregate set. Finally, the trigger order of the signal points in the aggregate set is determined according to the corresponding shortest path when traversing each signal point in the aggregate set.

[0028] It should be noted that in the embodiment, the cooperation of the two sets A and B is selected to realize the calculation of the shortest path when traversing the signal points in a single aggregate set, that is, set A is used to store all the signal points and the corresponding path lengths of the calculated shortest paths; set B is used to store the signal points whose path lengths are not calculated, and when B is empty, the algorithm is completed, thereby realizing the traversal of the shortest path. In other embodiments, other ways can also be used to realize the calculation of the shortest path when traversing the signal points.

[0029] In the embodiment, the way of obtaining the signal trigger order in the aggregate set according to the traversal order of the shortest path includes: taking the order from front to back or from back to front according to the traversal order of the shortest path as the signal trigger order in the aggregate set.

[0030] Figure 5 The effect of the final signal point triggering is shown in the figure, Figure 5 The black dots in the figure represent signal points, and the green circle region is a different aggregate set. The line connecting the signal points in the uppermost green circle region is the determined shortest path. Since the shortest path is always used as the condition for selecting the next signal point in the shortest path part of the algorithm of the aggregate set (that is, the next triggered signal point is always determined according to the shortest path from the current signal point), the signal points can be triggered according to the trigger order determined by the algorithm, which can ensure that after the current signal point is triggered, the next triggered signal point is the signal point closest to the current signal point.

[0031] Signal trigger order generation device based on substation monitoring system The embodiment provides a technical scheme of a signal trigger order generation device based on a substation monitoring system. The device comprises a processor, and executable program instructions are stored in the processor. The executable program instructions are used to realize the signal trigger order generation method based on the substation monitoring system in the signal trigger order generation method embodiment based on the substation monitoring system.

[0032] Since the specific working mode and working principle of the signal trigger order generation device based on the substation monitoring system in the embodiment have been described in detail in the signal trigger order generation method embodiment based on the substation monitoring system, the description is omitted here.

[0033] It should be understood that the foregoing detailed description of the application, rather than limiting the application, is intended to explain and describe the principles of the application and its practical application.

Claims

1. A method for generating a signal-triggering sequence based on a substation monitoring system, characterized by, The method comprises the following steps: In a monitoring picture of a substation monitoring system, coordinates of positions of signal points and graphic element areas of the signal points are taken as characteristic values; Each signal point in the monitoring picture is divided into each aggregation set by an aggregation algorithm, and a distance between the characteristic values is taken as a division principle; For each aggregation set, a shortest path corresponding to each signal point in the aggregation set is calculated, and a signal triggering sequence in the aggregation set is obtained according to a traversal order of the shortest path.

2. The signal-triggered sequence generation method based on a substation monitoring system according to claim 1, characterized by, The way of calculating the shortest path corresponding to each signal point in the aggregation set comprises the following steps: A signal point in the aggregation set is taken as an initial point, a signal point in the aggregation set which is closest to the initial point in terms of the characteristic values and has not been added to a path is searched, the signal point is added to the path and taken as a latest point in the path, a signal point in the aggregation set which is closest to the latest point in the path in terms of the characteristic values and has not been added to the path is searched, the signal point is added to the path, and the latest point in the path is updated, until all the signal points in the aggregation set are added to the path, and the current path is taken as the shortest path corresponding to each signal point in the aggregation set.

3. The signal-triggered sequence generation method based on a substation monitoring system according to claim 1, characterized by, The way of dividing each signal point in the monitoring picture into each aggregation set by the aggregation algorithm and taking the distance between the characteristic values as the division principle comprises the following steps: 1) a set number of signal points in the monitoring picture are selected as aggregation centers; 2) distances between characteristic values of other signal points in the monitoring picture and each aggregation center are calculated, and each signal point is divided into an aggregation set corresponding to an aggregation center which is closest to the signal point in terms of the characteristic values; 3) according to distances between characteristic values of the signal points in each aggregation set, the aggregation centers are reselected in each aggregation set; 4) as long as a distance between characteristic values of an original aggregation center of a certain aggregation set and a new aggregation center is greater than a set threshold, steps 2) to 3) are reperformed, until the distance between the characteristic values of the original aggregation center of each aggregation set and the new aggregation center is less than or equal to the set threshold, and then the iteration is stopped, and a division result of dividing each signal point in the monitoring picture into each aggregation set is obtained according to the current aggregation set.

4. The signal-triggered sequence generation method based on a substation monitoring system according to claim 3, characterized by, The set threshold is determined according to a ratio of a size of a display used for presenting the monitoring picture to the set number.

5. The signal-triggered sequence generation method based on a substation monitoring system according to claim 3, characterized by, The set number is in a range of 4 to 6.

6. The method of generating a signal triggered sequence based on a substation monitoring system according to claim 1, wherein, The way of obtaining the signal triggering sequence in the aggregation set according to the traversal order of the shortest path comprises the following steps: an order from front to back or from back to front according to the traversal order of the shortest path is taken as the signal triggering sequence in the aggregation set.

7. A signal-triggered sequence generation device based on a substation monitoring system, comprising a processor, characterized in that The processor is configured to execute a computer program to implement steps of the signal triggering sequence generation method based on the substation monitoring system according to any one of claims 1 to 6.

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