CN109634699B - Spacecraft abnormal information clustering visualization and interaction method based on mulberry-based map - Google Patents
Spacecraft abnormal information clustering visualization and interaction method based on mulberry-based map Download PDFInfo
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Abstract
The invention provides a clustering visualization and interaction method for spacecraft abnormal information based on a mulberry-based graph. The method reflects the characteristic rule among abnormal information by an intuitive expression means, so that an analyst can rapidly and geographically classify the analysis result, visually observe the on-satellite event and the state change of important components of the satellite, and rapidly and accurately find out the required information.
Description
Technical Field
The invention relates to a spacecraft abnormal information visualization method, and belongs to the field of spacecraft fault diagnosis and analysis.
Background
The aerospace system is a very complex system engineering with numerous variable parameters, and subsystems and devices are interdependent, wherein one or more anomalies frequently affect other systems directly or indirectly. Distinguishing and extracting valuable data in a large amount of abnormal alarm information also becomes a very troublesome problem. The visualization technology makes full use of visual expression capability, so that personnel can observe and analyze spacecraft information more conveniently and deeply.
At present, most of spacecraft information visualization and interaction aspects are focused on space 3D display interaction, while the visualization of spacecraft abnormal alarm information still adopts a character list arrangement mode, and the visualization technology based on tables and two-dimensional matrixes does not fully utilize the expression capacity of graphs and images and can not visually present the spacecraft abnormal information in an easy-to-read mode.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a clustering visualization and interaction method for spacecraft abnormal information based on a morgan diagram. The method reflects the characteristic rule among abnormal information by an intuitive expression means, so that an analyst can rapidly and geographically classify the analysis result, visually observe the on-satellite event and the state change of important components of the satellite, and rapidly and accurately find out the required information.
The technical scheme adopted by the invention for solving the technical problem comprises the following steps:
step 1, defining the abnormal information of a single spacecraft as [ subStr, elementStr, typeStr]The subsystem description information is the subsystem description information to which the abnormality belongs, the elementStr is the abnormal component description information, and the typeStr is the detection type description information; all spacecraft anomaly information composition set abnormalSet [ [ subStr [ ]1,elementStr1,typeStr1],…,[subStrn,elementStrn,typeStrn]]N pieces of abnormal information; subStr, elementStr and typeStr as horizontal axis column values, i.e. subStr as the first column, elementStr as the second column, typeStr as the third column, the corresponding column values are plotted in sang baseOnly the location of the column appears in the figure;
for each piece of exception information [ subStri,elementStri,typeStri]I is more than or equal to 1 and less than or equal to n, and three node nodes are respectively added into the node set3*(i-1)+1＝subStri，node3*(i-1)+2＝elementStri，node3*(i-1)+3＝typeStri(ii) a Finally, all node sets of abnormal information are formed, wherein the node sets are { node ═ node }1,…,node3n}；
For each piece of exception information [ subStri,elementStri,typeStri]I is more than or equal to 1 and less than or equal to n, and two edge links are respectively added into the edge set linkSet2*(i-1)+1＝(subStri,elementStri)，link2*(i-1)+2＝(elementStri,typeStri) (ii) a Finally, all edge sets linkSet ═ link of abnormal information are formed1,…,link2n}；
Step 2, defining each node of the morgan graph as snode ═ name, value, xAxis]Wherein name is a node name, value is the number of times of occurrence of the node, and xAxis is a node arrangement position; the set of nodes in the morgan graph is defined as sNodes, and the set for marking whether nodes are added to the sNodes is defined as adddnodes ═ name1,…,namepP is less than or equal to 3 n; for each piece of exception information [ subStr ] in the exception information set abnormalSeti,elementStri,typeStri]I is more than or equal to 1 and less than or equal to n if subStriIf the node is not in adddnodes, adding node snode to sNodesjWhere namej＝subStri，valuej＝count(nodeSet(subStri) Namely subStr.)iNumber of occurrences in nodeSet, xAxisj1, then place subStriAdding into addednucleotides set; if subStriIf the adddDNAs exist, skipping and not processing; similarly, judge elementStriAnd typeStriWhether in adddnodes; and finally generating a morqui graph node set sNodes { [ name { ] { [ name) ]1,value1,xAxis1],…,[namep,valuep,xAxisp]}，p≤3n；
Each edge of the morsyl map is defined as "source, target, value]Wherein, source is the name of a source node, target is the name of a destination node, and value is the connection weight between the source node and the destination node; the set of edges of the morsyl graph is defined as sLinks, and the set that marks whether an edge has been added to sLinks is defined as addLinks ═ link1,…,linkqQ is less than or equal to 2 n; for each piece of exception information [ subStr ] in the exception information set abnormalSeti,elementStri,typeStri]I is not less than 1 but not more than n, if (subStr)i,elementStri) If not, adding edge slink to sLinkskWherein sourcek＝subStri，targetk＝elementStri，valuek＝count(linkSet(subStri,elementStri) Both (subStr)i,elementStri) Number of occurrences in linkSet, then (subStr)i,elementStri) Adding the addLinks into an addLinks set; if (subStr)i,elementStri) If the addLinks exist, skipping and not processing; likewise, judge (elementStr)i,typeStri) Whether in adddls; finally, generating a mulberry graph edge set sLinks { [ source { [ Source { ]1,target1,value1],…,[sourceq,targetq,valueq]}，q≤2n；
And 3, drawing the mulberry base graph and setting interactive operation by using the generated node set and the edge set of the mulberry base graph.
The step 3 is specifically as follows:
step 3.1, defining an x axis as a node type and a y axis as a node size, and selecting all nodes snodeSets with xAxis ═ 1 from a node set sNodes of the mulberry base graph1＝{snode1,…,snoderAnd arranging the values of the nodes in descending order, and drawing the value of the length on the y axis in sequence at the position of 1 on the x axisniEach node snode ofniNi is more than or equal to 1 and less than or equal to r; then continuing to select all nodes with different values of xAxis, and repeating the operation;
step 3.2, sequentially drawing the edges of the mulberry base mapSelecting edge slink from set sLinksli＝[sourceli,targetli,valueli]Li is more than or equal to 1 and less than or equal to q; finding source in a drawn sang-based graph nodeliAnd assign value thereinliFinding target in the node of the drawn morsyl graphliAnd assign value thereinliLength of (1), will sourceliAnd targetliThe upper end and the lower end of the length distribution interval in the node are respectively connected, the drawing of the edge is completed, and the drawing of the next edge is continuously returned until the end;
step 3.3, setting the node selected by the mouse hovering of the user as the nodeselIf nodeselBelong to { subStr1,…,subStrnSelecting all substrs in the abnormalSet to be equal to the nodeselDisplaying the abnormal information; if nodeselBelong to { elementStr1,…,elementStrnSelecting all elementStr in abnormalSet to be equal to nodeselDisplaying the abnormal information; if nodeselBelong to { typeStr1,…,typeStrnSelecting all typeStr equal to node in abnormalSetselThe abnormal information of (2) is displayed.
The invention has the beneficial effects that: according to the requirement characteristics of spacecraft abnormal information clustering visualization, the concept of a horizontal axis column is introduced in the construction process of the traditional Sangji diagram, and the return content of interactive operation is expanded. The spacecraft abnormal information is visualized by the mulberry-based map, so that the representation capability of the graph and the image is fully utilized, a user can visually observe abnormal results, and the clustering relation among multiple abnormal results can be clearly described. The spacecraft abnormal clustering information interaction method based on the mulberry-based graph can also be used for enabling a user to quickly obtain all abnormal information related to key focus nodes, so that the user can deeply analyze abnormal results.
Drawings
FIG. 1 is a flow chart of the present invention;
fig. 2 is a schematic diagram of an application case of the present invention.
Detailed Description
The present invention will be further described with reference to the following drawings and examples, which include, but are not limited to, the following examples.
The invention provides a spacecraft abnormal information clustering visualization and interaction method based on a mulberry base map, which specifically comprises the following steps:
the first step is as follows: preprocessing spacecraft abnormal information;
the second step is that: generating a node set and an edge set of the mulberry-based graph;
the third step: drawing a mulberry-based graph and setting interactive operation.
The first step described above specifically includes the steps of:
the abnormal information of the single spacecraft is [ subStr, elementStr, typeStr]The substring is subsystem description information to which the abnormality belongs, the elementStr is abnormal component description information, and the typeStr is detection type description information. All spacecraft anomaly information composition set abnormalSet [ [ subStr [ ]1,elementStr1,typeStr1],…,[subStrn,elementStrn,typeStrn]]N pieces of abnormality information. subStr, elementStr and typeStr are used as horizontal axis column values, namely subStr is used as a first column, elementStr is used as a second column, typeStr is used as a third column, and the corresponding column value is only present at the position of the column in the drawing of the sang-based diagram, even if some abnormal information [ subStr ] is includedi,elementStri,typeStri]Middle, elementStriValue is null, but typeStriThe value of (d) is still placed in the third column and does not move forward.
Step 1.1: and generating a set of all nodes of the abnormal information. For each piece of exception information [ subStri,elementStri,typeStri]I is more than or equal to 1 and less than or equal to n, and three node nodes are respectively added into the node set3*(i-1)+1＝subStri，node3*(i-1)+2＝elementStri，node3*(i-1)+3＝typeStri. Finally, a node set { node } is formed1,…,node3nAnd the number of the nodes is 3 times of the number of the abnormal information, and repeated nodes are allowed.
Step 1.2: generation of isoThe set of all edges of the frequent message. For each piece of exception information [ subStri,elementStri,typeStri]I is more than or equal to 1 and less than or equal to n, and two edge links are respectively added into the edge set linkSet2*(i-1)+1＝(subStri,elementStri)，link2*(i-1)+2＝(elementStri,typeStri). Finally, forming an edge set linkSet ═ link1,…,link2nAnd the number of edges is 2 times of the number of abnormal information, and repeated edges are allowed.
The second step as described above comprises the steps of:
step 2.1: and generating a node set of the mulberry base graph. Each node of the morgan graph is defined as snode ═ name, value, xAxis]The name is a node name, the value is the number of times of occurrence of the node, and the xAxis is a node arrangement position, and if the arrangement position value of the description subsystem is 1, the arrangement position value of the description component is 2, and the arrangement position value of the description type is 3, different types of nodes are sequentially arranged. The set of nodes in the morgan graph is defined as sNodes, and the set for marking whether nodes are added to the sNodes is defined as adddnodes ═ name1,…,namepP is less than or equal to 3 n. For each piece of exception information [ subStr ] in the exception information set abnormalSeti,elementStri,typeStri]And i is more than or equal to 1 and less than or equal to n, and the following treatment is carried out: if subStriIf the node is not in adddnodes, adding node snode to sNodesjWhere namej＝subStri，valuej＝count(nodeSet(subStri) Namely subStr.)iNumber of occurrences in nodeSet, xAxisj1, then place subStriAdding into addednucleotides set; if subStriIf already present in the adddnodes, skip no processing. Then sequentially aligning elementStriAnd typeStriIt is determined whether the same processing is performed in adddnodes. And finally generating a morqui graph node set sNodes { [ name { ] { [ name) ]1,value1,xAxis1],…,[namep,valuep,xAxisp]}，p≤3n。
Step 2.2: and generating an edge set of the mulberry graph. Each edge of the morsyl graph is defined as slink ═ source,target,value]Wherein, source is the name of the source node, target is the name of the destination node, and value is the connection weight between the source node and the destination node. The set of edges of the morsyl graph is defined as sLinks, and the set that marks whether an edge has been added to sLinks is defined as addLinks ═ link1,…,linkqQ is less than or equal to 2 n. For each piece of exception information [ subStr ] in the exception information set abnormalSeti,elementStri,typeStri]And i is more than or equal to 1 and less than or equal to n, and the following treatment is carried out: if (subStr)i,elementStri) If not, adding edge slink to sLinkskWherein sourcek＝subStri，targetk＝elementStri，valuek＝count(linkSet(subStri,elementStri) Both (subStr)i,elementStri) Number of occurrences in linkSet, then (subStr)i,elementStri) Adding the addLinks into an addLinks set; if (subStr)i,elementStri) Already in addlinks, skip no processing. Then pair (elementStr)i,typeStri) It is determined whether the same processing is performed in the adddls. Finally, generating a mulberry graph edge set sLinks { [ source { [ Source { ]1,target1,value1],…,[sourceq,targetq,valueq]}，q≤2n。
The third step as described above comprises the steps of:
drawing the mulberry base graph and setting interactive operation by using the generated node set and the edge set of the mulberry base graph, and specifically comprising the following steps:
step 3.1: and drawing nodes in the mulberry-based graph. The x-axis is node type and the y-axis is node size. All nodes snodeSet with xAxis ═ 1 are selected from node set sNodes of the mulberry base graph1＝{snode1,…,snoderAnd arranging the values of the nodes in descending order, and drawing the value of the length on the y axis in sequence at the position of 1 on the x axisniEach node snode ofniAnd ni is more than or equal to 1 and less than or equal to r. And then continuing to select all nodes with xAxis being 2 and 3, and repeating the operation.
Step 3.2: in drawing a mulberry base pictureThe edge of (2). Selecting edge slink from edge set sLinks of the Soumk graph in sequenceli＝[sourceli,targetli,valueli]And li is more than or equal to 1 and less than or equal to q. Finding source in a drawn sang-based graph nodeliAnd assign value thereinliFinding target in the node of the drawn morsyl graphliAnd assign value thereinliLength of (1), will sourceliAnd targetliAnd (4) respectively connecting the upper end and the lower end of the length distribution interval in the node, finishing the drawing of the edge, and continuously returning to draw the next edge until the end.
Step 3.3: and setting user interaction operation. Setting the node selected by mouse hovering as the nodeselIf nodeselBelong to { subStr1,…,subStrnSelecting all substrs in the abnormalSet to be equal to the nodeselThe abnormal information of (2) is displayed. If nodeselBelong to { elementStr1,…,elementStrnSelecting all elementStr in abnormalSet to be equal to nodeselThe abnormal information of (2) is displayed. If nodeselBelong to { typeStr1,…,typeStrnSelecting all typeStr equal to node in abnormalSetselThe abnormal information of (2) is displayed. In this way, all the abnormal information of the nodes of which the important attention is focused can be fed back to the user.
Referring to fig. 2, the application case of the present invention is divided into three main steps:
1) and preprocessing spacecraft abnormal information. In the first step of fig. 2, 7 items of spacecraft anomaly information are listed, and in practical application, the alarm number is far greater than the number, and this example is only illustrated as a method flow. Generating a set node set of all nodes of the abnormal information { node ═ node }1Communication subsystem, node2UHF power amplifier, node3"output Power" node4Posture and orbit control subsystem, node5"Top Assembly" node6"Shell temperature" node7Communication subsystem, node8UHF power amplifier, node9Voltage node10Communication subsystem, node11C receiver, node12"Shell temperature",node13Communication subsystem, node14UHF power amplifier, node15"Shell temperature" node16Posture and orbit control subsystem, node17"momentum wheel", node18"Shell temperature" node19Communication subsystem, node20UHF power amplifier, node21"Current". Set linkSet ═ link for generating all edges of exception information1Communication subsystem → UHF power amplifier, link2UHF power amplifier → output power, link3Attitude and orbit control subsystem → gyro assembly link4Link between gyro assembly → shell temperature5Communication subsystem → UHF power amplifier, link6UHF power amplifier → voltage link7Communication subsystem → C receiver, link8Link between C receiver → case temperature9Communication subsystem → UHF power amplifier, link10Link between UHF power amplifier → shell temperature11Attitude and orbit control subsystem → momentum wheel link12Link for "momentum wheel → shell temperature13Communication subsystem → UHF power amplifier, link14UHF power amplifier → current.
2) And generating a node set and an edge set of the mulberry-based graph. In the second step of fig. 2, a morbigram node set sgees [ { 'name': the 'communication subsystem', 'value':5, 'xAxis':1}, { 'name': an 'attitude and orbit control subsystem', 'value':2, 'xAxis':1}, { 'name': 'UHF power amplifier', 'value':4, 'xAxis':2}, { 'name': 'C receiver', 'value':1, 'xAxis':2}, { 'name': the 'momentum wheel', 'value':1, 'xAxis':2}, { 'name': 'gyro component', 'value':1, 'xAxis':2}, { 'name': current ', ' value ':1, 'xAxis':2}, { 'name': output power ', ' value ':1, 'xAxis':3}, { 'name': voltage ', ' value ':1, 'xAxis':3}, { 'name': the 'shell temperature', 'value':4, 'xAxis': 3}]. Generating a mulberry-based graph edge set sLinks [ { 'source': communication subsystem ',' target ': UHF power amplifier', 'value':4}, { 'source': communication subsystem ',' target ': C receiver', 'value':1}, { 'source': attitude and orbit control subsystem ',' target ': momentum wheel', 'value':1}, { 'source': attitude and orbit control subsystem ',' gyro component ',' value ':1}, {' source ': UHF', 'current': value ':1}, {' source '{' UHF ', -' target ':1}, {' source ', -' UHF ': voltage', - 'source' { 'UHF', - 'source': 1}, { 'voltage', ' target ': shell temperature ', ' value ':1}, { ' source ': momentum wheel ', ' target ': shell temperature ', ' value ':1}, { ' source ': gyro component ', ' target ': shell temperature ', ' value ':1} ].
3) Drawing a mulberry-based graph and setting interactive operation. In the third step of fig. 2, the nodes are arranged according to the horizontal axis 'xAxis' equal to 1, 2 and 3, and the longitudinal length of each node is set according to the value of the node. Taking the edges { 'source': communication subsystem ',' target ': UHF power amplifier', 'value':4} as an example, the drawing process is to allocate length 4 from the 'communication subsystem' node with length 5 as a source node, use the 'UHF power amplifier' node with length 4 as a destination node, and connect the upper and lower ends of the source node and the destination node respectively. And simultaneously, when the mouse of the user is hovered to the 'shell temperature' node, displaying all abnormal information related to the 'shell temperature'.
In conclusion, the invention provides a spacecraft abnormal information clustering visualization and interaction method based on a mulberry-based map. The method solves the technical problems that the existing visualization technology based on the table and the two-dimensional matrix does not fully utilize the expression capability of graphs and images and can not visually present the abnormal information of the spacecraft in an easy-to-read mode.
Claims (2)
1. A spacecraft abnormal information clustering visualization and interaction method based on a mulberry-based map is characterized by comprising the following steps:
step 1, defining the abnormal information of a single spacecraft as [ subStr, elementStr, typeStr]The subsystem description information is the subsystem description information to which the abnormality belongs, the elementStr is the abnormal component description information, and the typeStr is the detection type description information; all spacecraft anomaly information composition set abnormalSet [ [ subStr [ ]1,elementStr1,typeStr1],…,[subStrn,elementStrn,typeStrn]]N pieces of abnormal information; subStr, elementStr and typeStr are taken as horizontal axis column values, namely subStr is taken as a first column, elementStr is taken as a second column, typeStr is taken as a third column, and the corresponding column value only appears at the position of the column in the drawing of the sang-based diagram;
for each piece of exception information [ subStri,elementStri,typeStri]I is more than or equal to 1 and less than or equal to n, and three node nodes are respectively added into the node set3*(i-1)+1＝subStri，node3*(i-1)+2＝elementStri，node3*(i-1)+3＝typeStri(ii) a Finally, all node sets of abnormal information are formed, wherein the node sets are { node ═ node }1,…,node3n}；
For each piece of exception information [ subStri,elementStri,typeStri]I is more than or equal to 1 and less than or equal to n, and two edge links are respectively added into the edge set linkSet2*(i-1)+1＝(subStri,elementStri)，link2*(i-1)+2＝(elementStri,typeStri) (ii) a Finally, all edge sets linkSet ═ link of abnormal information are formed1,…,link2n}；
Step 2, defining each node of the morgan graph as snode ═ name, valueNode, xAxis]The name is a node name, the valueNode is the frequency of occurrence of the node name in the node set nodeSet, and the xAxis is the node arrangement position; the set of nodes in the morgan graph is defined as sNodes, and the set for marking whether nodes are added to the sNodes is defined as adddnodes ═ name1,…,namepP is less than or equal to 3 n; for each piece of exception information [ subStr ] in the exception information set abnormalSeti,elementStri,typeStri]I is more than or equal to 1 and less than or equal to n if subStriIf the node is not in adddnodes, adding node snode to sNodesjWhere namej＝subStri，valuej＝count(nodeSet(subStri) Namely subStr.)iNumber of occurrences in nodeSet, xAxisj1, then place subStriAdding into addednucleotides set; if subStriIf the adddDNAs exist, skipping and not processing; similarly, judge elementStriAnd typeStriWhether in adddnodes; and finally generating a morqui graph node set sNodes { [ name { ] { [ name) ]1,valueNode1,xAxis1],…,[namep,valueNodep,xAxisp]}，p≤3n；
Each edge of the morsyl map is defined as "source, target, value]Wherein, source is the name of a source node, target is the name of a destination node, and value is the connection weight between the source node and the destination node; the set of edges of the morsyl graph is defined as sLinks, and the set that marks whether an edge has been added to sLinks is defined as addLinks ═ link1,…,linkqQ is less than or equal to 2 n; for each piece of exception information [ subStr ] in the exception information set abnormalSeti,elementStri,typeStri]I is not less than 1 but not more than n, if (subStr)i,elementStri) If not, adding edge slink to sLinkskWherein sourcek＝subStri，targetk＝elementStri，valuek＝count(linkSet(subStri,elementStri) Both (subStr)i,elementStri) Number of occurrences in linkSet, then (subStr)i,elementStri) Adding the addLinks into an addLinks set; if (subStr)i,elementStri) If the addLinks exist, skipping and not processing; likewise, judge (elementStr)i,typeStri) Whether in adddls; finally, generating a mulberry graph edge set sLinks { [ source { [ Source { ]1,target1,value1],…,[sourceq,targetq,valueq]}，q≤2n；
And 3, drawing the mulberry base graph and setting interactive operation by using the generated node set and the edge set of the mulberry base graph.
2. The mulberry-based spacecraft anomaly information clustering visualization and interaction method according to claim 1, wherein the step 3 is as follows:
step 3.1, defining an x axis as a node type and a y axis as a node size, and selecting all nodes snodeSets with xAxis ═ 1 from a node set sNodes of the mulberry base graph1＝{snode1,…,snoderAnd arranging the values of the nodes in descending order, and drawing the value of the length on the y axis in sequence at the position of 1 on the x axisniEach node snode ofniNi is more than or equal to 1 and less than or equal to r; then theContinuously selecting all nodes with different values of xAxis, and repeating the operation;
step 3.2, selecting edge sLinks from the edge sets sLinks of the moresyl graph in sequenceli＝[sourceli,targetli,valueli]Li is more than or equal to 1 and less than or equal to q; finding source in a drawn sang-based graph nodeliAnd assign value thereinliFinding target in the node of the drawn morsyl graphliAnd assign value thereinliLength of (1), will sourceliAnd targetliThe upper end and the lower end of the length distribution interval in the node are respectively connected, the drawing of the edge is completed, and the drawing of the next edge is continuously returned until the end;
step 3.3, setting the node selected by the mouse hovering of the user as the nodeselIf nodeselBelong to { subStr1,…,subStrnSelecting all substrs in the abnormalSet to be equal to the nodeselDisplaying the abnormal information; if nodeselBelong to { elementStr1,…,elementStrnSelecting all elementStr in abnormalSet to be equal to nodeselDisplaying the abnormal information; if nodeselBelong to { typeStr1,…,typeStrnSelecting all typeStr equal to node in abnormalSetselThe abnormal information of (2) is displayed.
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