CN115293484A - Point method-based emergency repair track similarity analysis method and system - Google Patents
Point method-based emergency repair track similarity analysis method and system Download PDFInfo
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Abstract
The invention belongs to the technical field of power emergency repair, and discloses an emergency repair track similarity analysis method based on a point method, which is applied to a background service system and a south network intelligent aerial view platform.
Description
Technical Field
The invention belongs to the technical field of power line repair, and particularly relates to a method and a system for analyzing similarity of repair tracks based on a point method.
Background
The electric power failure emergency repair refers to that after an electric failure occurs, a client feeds back the electric power failure to a background service system, the system formulates a failure power failure work order according to the position of the client, and after the failure power failure work order is determined by an accessory emergency repair responsible person, the emergency repair time is reserved according to an address and a user main contact mode. The electric power trouble is salvageed and is reported to salvage the responsible person and arrive and salvage the place according to the customer, salvagees business and service management and control requirement according to current trouble, and shortcoming appears in current mode:
1. the arrival overtime rate is higher;
2. the service scheduling cannot master the position information of the first-aid repair workers;
3. the failure power failure emergency repair efficiency is low, and the failure power failure event is long.
Disclosure of Invention
The invention aims to provide a method and a system for analyzing the similarity of emergency repair tracks based on a point method, which are based on a background service system, combine with the south web intelligent aerial view platform basic service, realize the analysis and comparison of the similarity of actual emergency repair paths and planned paths of emergency repair workers according to the requirements of fault emergency repair service and service management and control, and realize an exception handling function after problems are found, thereby effectively improving the emergency repair efficiency of fault power failure, shortening the time of fault power failure and improving the power supply service capability in the field of power emergency repair.
In order to achieve the above object, on the one hand, the invention provides a method for analyzing similarity of emergency repair tracks based on a point method, which is applied to a background service system and a south web intelligent aerial view platform, and comprises the following steps:
s1, acquiring coordinates: after the emergency repair responsible person successfully logs in and signs and confirms the fault power failure work order, automatically acquiring the coordinate information of the current position at intervals;
s2, coordinate uploading: and uploading the coordinate information to a service system in batches at regular intervals according to the latest refreshed position coordinates.
S3, track monitoring: forming an emergency repair track route according to the recorded position coordinates, storing the emergency repair track route in the real-time monitoring of a service system, and calling and playing back by a manager;
s4, acquiring recommended path coordinates: through API service provided by the south web intelligent aerial view platform, according to the initial coordinates and the position coordinates of the fault point of the introduced emergency repair responsible person, the coordinate set of the recommended path can be returned in a speed priority mode;
s5, analyzing track similarity: acquiring an uploading coordinate set at regular time through a failure emergency repair APP, calculating the length of a maximum public subsequence by searching the maximum public subsequence of the two coordinate sequences by using a similarity analysis algorithm and an LCSS algorithm, and performing normalization processing to obtain the percentage of similarity between an actual emergency repair path and a recommended path;
s6, pushing an early warning notice: when the similarity percentage is lower than a preset threshold value, an early warning short message notification can be automatically sent to an emergency repair responsible person;
s7, message communication: and performing communication feedback on the abnormal reason through the message communication group.
As a further technical improvement, the similarity analysis algorithm described in step S5 includes the following steps: setting input sequences as X [0.. M-1] and Y [0.. N-1], with lengths of m and n; and assuming that the sequence L (X [0.. M-1], Y [0.. N-1 ]) is the length of the LCS of these two sequences, the following is a recursive definition of L (X [0.. M-1], Y [0.. N-1 ]):
1) If the last element of the two sequences matches (i.e., X [ M-1] = = Y [ N-1 ]): l (X [0.. M-1], Y [0.. N-1 ]) =1+ L (X [0.. M-2], Y [0.. N-1 ]);
2) If the last character of the two sequences do not match (i.e., X [ M-1]! = Y [ N-1 ]), then: l (X [0.. M-1], Y [0.. N-1 ]) = MAX (L (X [0.. M-2], Y [0.. N-1 ]), L (X [0.. M-1], Y [0.. N-2 ])))))); according to the conclusion of the two basic characteristics of the dynamic programming problem, the LCSS algorithm has the optimal substructure property, the maximum public subsequence of the two coordinate sequences is searched, the length of the maximum public subsequence is calculated, normalization processing is carried out, and the percentage of similarity between the actual emergency repair path and the recommended path can be obtained.
As a further technical improvement, the first-aid repair track route is used for checking the initial position and the fault point position information of each fault power-off work order receipt confirmation on a map, automatically updating the current position information of a first-aid repair responsible person at regular intervals, clicking the first-aid repair responsible person, and checking the details of the currently processed fault power-off work order, including information such as fault occurrence time, fault address and influence range.
As a further technical improvement, in the step S1, the coordinate information acquisition comprises the account number of the current login person, the name of the login person, the longitude and latitude coordinates, the acquisition time and the unique identifier of the mobile terminal.
As a further technical improvement, the fault power failure work order after the first-aid repair is finished is replayed and rechecked through the first-aid repair track.
As a further technical improvement, the collection of the current position coordinate can be automatically stopped after the first-aid repair is finished.
On the other hand, the invention also provides a first-aid repair track similarity analysis system based on the point method, which is applied to a background service system and a south web intelligent aerial view platform and is characterized in that: the system comprises a coordinate acquisition module, a track monitoring module, a similarity analysis module and an exception handling module; the coordinate acquisition module, the track monitoring module, the similarity analysis module and the exception handling module are electrically connected in sequence, and the coordinate acquisition module is electrically connected with the background service system; the coordinate acquisition module is used for regularly refreshing the coordinates of the position of the emergency repair responsible person after the emergency repair responsible person successfully logs in and signs and confirms the fault power failure work order, and uploading the refreshed position coordinates to the service system; after the first-aid repair is finished, the system stops collecting the current position coordinates; the track monitoring module is used for providing a real-time monitoring function and a historical track playback function for the fault power failure work order first-aid repair track for the background service system; the similarity analysis module is used for obtaining the percentage of the similarity between the actual emergency repair path and the recommended path; and the abnormity processing module is used for automatically pushing an early warning short message notice to the emergency repair responsible person when the track similarity percentage is lower than a preset threshold value, and pushing abnormal information in the message communication group, and the emergency repair responsible person can communicate and feed back the abnormal reason in the message communication group.
Compared with the prior art, the invention has the following beneficial technical effects:
the invention discloses a method and a system for analyzing similarity of emergency repair tracks based on a point method, wherein the method is integrated with a service system, is combined with a south-network intelligent aerial view platform basic service, and comprises the steps of updating the position coordinates of emergency repair responsible persons in real time, tracking the position dynamic state of the persons, forming the updated position coordinates to form an emergency repair track route, recommending path coordinates, analyzing the similarity of the tracks, obtaining the percentage of the similarity of an actual emergency repair path and a recommended path, analyzing and comparing the similarity of the actual emergency repair path and a planned path of emergency repair operation persons, and performing an abnormal handling function after problems are found, so that the efficiency of emergency repair in fault power failure is effectively improved, the time of fault power failure is shortened, and the power supply service capability in the field of electric power emergency repair is improved.
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In order to illustrate the embodiments of the invention more clearly, reference will now be made to the appended drawings, which are needed for an embodiment of the invention and from which it will be apparent that only some embodiments of the invention are shown and that other drawings may be derived by those skilled in the art without the inventive faculty.
FIG. 1 is a flow chart of a first-aid repair trajectory similarity analysis method based on a point method;
fig. 2 is a schematic structural diagram of a first-aid repair trajectory similarity analysis system based on a point method.
Reference numerals: 21-background service system, 22-emergency repair track similarity analysis system based on point method, 221-coordinate acquisition module, 222-track monitoring module, 223-similarity analysis module, 224-exception handling module.
Detailed Description
The embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.
The embodiments of the present disclosure are described below with specific examples, and other advantages and effects of the present disclosure will be readily apparent to those skilled in the art from the disclosure of the present disclosure. It is to be understood that the described embodiments are merely illustrative of some, and not restrictive, of the embodiments of the disclosure. The disclosure may be embodied or carried out in various other specific embodiments, and various modifications and changes may be made in the details within the description without departing from the spirit of the disclosure. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
Examples
As shown in fig. 1-2, on the one hand, the embodiment provides an emergency repair trajectory similarity analysis method based on a point method, which is applied to a background business system and a south web intelligent aerial view platform, and includes the following steps:
s1, acquiring coordinates: after the emergency repair responsible person successfully logs in and signs and confirms the fault power failure work order, automatically acquiring coordinate information of the current position at an interval of 15S;
s2, coordinate uploading: and uploading the coordinate information to a service system in batch every 1 minute according to the latest refreshed position coordinate.
S3, track monitoring: forming an emergency repair track route according to the recorded position coordinates, storing the emergency repair track route in the real-time monitoring of a service system, and calling and playing back by a manager;
s4, acquiring recommended path coordinates: through API service provided by the south web intelligent aerial view platform, according to the initial coordinates and the position coordinates of the fault point of the incoming emergency repair responsible person, the coordinate set of the recommended path can be returned in a speed-first mode;
s5, analyzing track similarity: acquiring an uploading coordinate set at regular time through a failure emergency repair APP, calculating the length of a maximum public subsequence by searching the maximum public subsequence of the two coordinate sequences by using a similarity analysis algorithm and an LCSS algorithm, and performing normalization processing to obtain the percentage of similarity between an actual emergency repair path and a recommended path;
s6, pushing an early warning notice: when the similarity percentage is lower than a preset threshold value, an early warning short message notification can be automatically sent to an emergency repair responsible person;
s7, message communication: and performing communication feedback on the abnormal reasons through the message communication group.
The method is integrated with a background business system, an emergency repair responsible person checks a current to-be-processed fault power failure work order through a fault emergency repair APP installed on a mobile terminal, when the fault emergency repair APP is logged in, the system prompts that position information of the mobile terminal can be acquired during emergency repair operation, and the emergency repair responsible person needs to check and confirm the state to be opened. After the emergency repair responsible person signs and confirms the fault power failure work order, the system automatically records the coordinates of the current position once every 15 seconds and uploads the coordinates to the service system at regular time. And after the emergency repair is finished, the emergency repair responsible person uploads the emergency repair result, and the system stops collecting the current position coordinate.
The similarity analysis algorithm in the step S5 comprises the following steps: setting input sequences as X [0.. M-1] and Y [0.. N-1], with lengths of m and n; and assuming that the sequence L (X [0.. M-1], Y [0.. N-1 ]) is the length of LCS of these two sequences, the following is a recursive definition of L (X [0.. M-1], Y [0.. N-1 ]):
1) If the last element of the two sequences matches (i.e., X [ M-1] = = Y [ N-1 ]): l (X [0.. M-1], Y [0.. N-1 ]) =1+ L (X [0.. M-2], Y [0.. N-1 ]);
2) If the last character of the two sequences do not match (i.e., X [ M-1]! = Y [ N-1 ]), then: l (X [0.. M-1], Y [0.. N-1 ]) = MAX (L (X [0.. M-2], Y [0.. N-1 ]), L (X [0.. M-1], Y [0.. N-2 ])))))); according to the conclusion of the two basic characteristics of the dynamic planning problem, the LCSS algorithm has the optimal substructure property, the maximum public subsequence of the two coordinate sequences is searched, the length of the maximum public subsequence is calculated, then normalization processing is carried out, and the percentage of similarity between the actual emergency repair path and the recommended path can be obtained.
The emergency repair track route is used for checking the initial position and the fault point position information of the receipt confirmation of each fault power failure work order on a map, automatically updating the current position information of an emergency repair responsible person every 5 minutes, clicking the emergency repair responsible person, and checking the details of the currently processed fault power failure work order, including information such as fault occurrence time, fault address and influence range.
In the step S1, the coordinate information acquisition comprises the current login person account number, the login person name, the longitude and latitude coordinates, the acquisition time and the unique identification of the mobile terminal.
And (4) carrying out playback and rechecking through the emergency repair track on the fault power failure work order after emergency repair is finished.
And after the first-aid repair is finished, the collection of the current position coordinates can be automatically stopped.
On the other hand, the embodiment also provides an emergency repair track similarity analysis system based on a point method, which is applied to a background service system and a south network intelligent aerial view platform, and is characterized in that: the system comprises a coordinate acquisition module, a track monitoring module, a similarity analysis module and an exception handling module; the coordinate acquisition module, the track monitoring module, the similarity analysis module and the exception handling module are electrically connected in sequence, and the coordinate acquisition module is electrically connected with the background service system; the coordinate acquisition module is used for regularly refreshing the coordinates of the position of the emergency repair responsible person and uploading the refreshed position coordinates to the service system after the emergency repair responsible person successfully logs in and signs and confirms the fault power failure work order by the background service system; after the first-aid repair is finished, the system stops collecting the current position coordinates; the track monitoring module is used for providing a real-time monitoring function and a historical track playback function for fault power failure work order first-aid repair tracks for the background service system; the similarity analysis module is used for obtaining the percentage of the similarity between the actual emergency repair path and the recommended path; and the abnormity processing module is used for automatically pushing an early warning short message notice to the emergency repair responsible person when the track similarity percentage is lower than a preset threshold value, and pushing abnormal information in the message communication group, so that the emergency repair responsible person can communicate and feed back abnormal reasons in the message communication group.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. The above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (7)
1. A rush-repair trajectory similarity analysis method based on a point method is applied to a background service system and a south network intelligent aerial view platform, and is characterized by comprising the following steps:
s1, acquiring coordinates: after the emergency repair responsible person successfully logs in and signs and confirms the fault power failure work order, automatically acquiring coordinate information of the current position at intervals;
s2, coordinate uploading: and uploading the coordinate information to a service system in batches at regular intervals according to the latest refreshed position coordinates.
S3, track monitoring: forming an emergency repair track route according to the recorded position coordinates, storing the emergency repair track route in the real-time monitoring of a service system, and calling and playing back by a manager;
s4, acquiring recommended path coordinates: through API service provided by the south web intelligent aerial view platform, according to the initial coordinates and the position coordinates of the fault point of the incoming emergency repair responsible person, the coordinate set of the recommended path can be returned in a speed-first mode;
s5, analyzing track similarity: regularly acquiring an uploaded coordinate set through a fault emergency repair APP, calculating the length of a maximum public subsequence by searching the maximum public subsequence of two coordinate sequences by using a similarity analysis algorithm and an LCSS algorithm, and performing normalization processing to obtain the percentage of similarity between an actual emergency repair path and a recommended path;
s6, pushing an early warning notice: when the similarity percentage is lower than a preset threshold value, an early warning short message notification can be automatically sent to an emergency repair responsible person;
s7, message communication: and performing communication feedback on the abnormal reasons through the message communication group.
2. The first-aid repair trajectory similarity analysis method based on the point method according to claim 1, wherein the similarity analysis algorithm in the step S5 comprises the following steps: setting input sequences as X [0.. M-1] and Y [0.. N-1], with lengths of m and n; and assuming that the sequence L (X [0.. M-1], Y [0.. N-1 ]) is the length of the LCS of these two sequences, the following is a recursive definition of L (X [0.. M-1], Y [0.. N-1 ]):
1) If the last element of the two sequences matches (i.e., X [ M-1] = = Y [ N-1 ]): l (X [0.. M-1], Y [0.. N-1 ]) =1+ L (X [0.. M-2], Y [0.. N-1 ]);
2) If the last character of the two sequences do not match (i.e., X [ M-1]! = Y [ N-1 ]), then: l (X [0.. M-1], Y [0.. N-1 ]) = MAX (L (X [0.. M-2], Y [0.. N-1 ]), L (X [0.. M-1], Y [0.. N-2 ]))))); according to the conclusion of the two basic characteristics of the dynamic planning problem, the LCSS algorithm has the optimal substructure property, the maximum public subsequence of the two coordinate sequences is searched, the length of the maximum public subsequence is calculated, then normalization processing is carried out, and the percentage of similarity between the actual emergency repair path and the recommended path can be obtained.
3. The point-method-based emergency repair track similarity analysis method according to claim 1, wherein the emergency repair track route is used for checking the initial position and the fault point position information of each fault power failure worksheet for receipt confirmation on a map, automatically updating the current position information of an emergency repair responsible person at regular intervals, and clicking the emergency repair responsible person to check the details of the currently processed fault power failure worksheet, including fault occurrence time, fault address and influence range information.
4. The method for analyzing the similarity of the emergency repair tracks based on the point method according to claim 1, wherein the coordinate information collection in the step S1 includes a current login person account number, a login person name, longitude and latitude coordinates, collection time, and a unique identifier of a mobile terminal.
5. The method for analyzing the similarity of emergency repair tracks based on the point method as claimed in claim 2, wherein a fault power failure worksheet after emergency repair is completed is replayed and rechecked through the emergency repair track.
6. The method for analyzing the similarity of emergency repair tracks based on the point method according to claim 1, wherein the collection of the current position coordinates can be automatically stopped after the emergency repair is finished.
7. A rush-repair trajectory similarity analysis system based on a point method is applied to a background business system and a south web intelligent aerial view platform, and is characterized in that: the system comprises a coordinate acquisition module, a track monitoring module, a similarity analysis module and an exception handling module; the coordinate acquisition module, the track monitoring module, the similarity analysis module and the exception handling module are electrically connected in sequence, and the coordinate acquisition module is electrically connected with the background service system; the coordinate acquisition module is used for regularly refreshing the coordinates of the position of the emergency repair responsible person and uploading the refreshed position coordinates to the service system after the emergency repair responsible person successfully logs in and signs and confirms the fault power failure work order by the background service system; after the first-aid repair is finished, the system stops collecting the current position coordinates; the track monitoring module is used for providing a real-time monitoring function and a historical track playback function for fault power failure work order first-aid repair tracks for the background service system; the similarity analysis module is used for obtaining the percentage of the similarity between the actual emergency repair path and the recommended path; and the abnormity processing module is used for automatically pushing an early warning short message notice to the emergency repair responsible person when the track similarity percentage is lower than a preset threshold value, and pushing abnormal information in the message communication group, so that the emergency repair responsible person can communicate and feed back abnormal reasons in the message communication group.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116631087A (en) * | 2023-07-20 | 2023-08-22 | 厦门闽投科技服务有限公司 | Unmanned aerial vehicle-based electric power inspection system |
| CN116834001A (en) * | 2023-06-12 | 2023-10-03 | 广州元丰自动化设备有限公司 | Robot control system and control method |
| CN117115757A (en) * | 2023-10-24 | 2023-11-24 | 中安创科（深圳）技术有限公司 | Gun real-time monitoring system and monitoring method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116834001A (en) * | 2023-06-12 | 2023-10-03 | 广州元丰自动化设备有限公司 | Robot control system and control method |
| CN116631087A (en) * | 2023-07-20 | 2023-08-22 | 厦门闽投科技服务有限公司 | Unmanned aerial vehicle-based electric power inspection system |
| CN117115757A (en) * | 2023-10-24 | 2023-11-24 | 中安创科（深圳）技术有限公司 | Gun real-time monitoring system and monitoring method |
| CN117115757B (en) * | 2023-10-24 | 2024-02-02 | 中安创科（深圳）技术有限公司 | Gun real-time monitoring system and monitoring method |
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