CN112488337A - Intelligent auxiliary maintenance flow analysis method and system - Google Patents
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Abstract
The invention discloses an intelligent auxiliary maintenance flow analysis method and system, comprising the following steps: analyzing the influence factors of the maintenance, taking the analysis service communication channel as a main line, completing multiple analysis, and analyzing each link one by one to obtain the influence range in the maintenance; analyzing the current running state of the maintenance influence service one by one according to the fault influence service analyzed before maintenance and by combining the real-time alarm of the current network manager, and determining whether the maintenance is started or ended; and analyzing the collected warning information generated by maintenance based on the completed maintenance project, comparing the project plan to judge the execution condition of the project, automatically producing a warning comparison report to obtain a work operation quality report, and completing maintenance flow analysis. The invention assists the maintenance decision-making personnel to quickly and comprehensively determine the influence range of maintenance, and provides data support for maintenance decision-making; the maintenance implementing personnel are assisted to know the real-time situation, and unplanned service interruption is avoided; and carrying out post analysis on the quality of the maintenance engineering.
Description
Technical Field
The invention relates to the technical field of power communication transmission networks, in particular to an intelligent auxiliary maintenance flow analysis method and system.
Background
At present, a relatively complex network structure of an electric power communication transmission network in an SDH self-healing ring does not necessarily influence service operation when each device in the ring network is overhauled, but service interruption with a large scale may be caused when a plurality of devices are overhauled, so that corresponding measures need to be taken to analyze the influence caused by overhaul in order to predict and early warn the service interruption caused by overhaul.
According to the scheme, real-time communication alarm data are acquired, analysis before maintenance, monitoring during maintenance and summary after maintenance are achieved in the equipment maintenance process by combining with a network topology structure of a power communication transmission network, and the maintenance process is assisted for a worker to carry out scheme decision, problem positioning, compliance analysis, engineering summary and other work.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above-mentioned conventional problems.
Therefore, the technical problem solved by the invention is as follows: resources and alarm information related to the process cannot be checked quickly, conveniently and simply, and the workload of maintenance processing is increased; the process is separated from the actual application scene, only as a simple working process, and engineering influence and quality analysis cannot be carried out according to application scene fusion alarm and resources; the circuit routing data analysis of the text cannot achieve the purpose of realizing efficient and accurate influence analysis.
In order to solve the technical problems, the invention provides the following technical scheme: analyzing the influence factors of the maintenance, taking the analysis service communication channel as a main line, completing multiple analysis, and analyzing each link one by one to obtain the influence range in the maintenance; analyzing the current running state of the maintenance influence service one by one according to the fault influence service analyzed before maintenance and by combining the real-time alarm of the current network manager, and determining whether the maintenance is started or ended; and collecting alarm information generated by maintenance based on the completed maintenance project, analyzing, comparing the project plan to judge the execution condition of the project, automatically producing an alarm comparison report to obtain a preliminary work operation quality report, and completing maintenance flow analysis.
As a preferred scheme of the intelligent auxiliary overhaul flow analysis method of the present invention, wherein: the service communication channel comprises a dispatching telephone, relay protection, a safety automatic device and dispatching automation.
As a preferred scheme of the intelligent auxiliary overhaul flow analysis method of the present invention, wherein: and analyzing each link comprises analyzing a maintenance object, analyzing data work and analyzing business influence.
As a preferred scheme of the intelligent auxiliary overhaul flow analysis method of the present invention, wherein: the overhaul objects comprise board card overhaul, network element overhaul, optical cable core overhaul and cable filling section overhaul; and determining an affected equipment port according to the overhaul object, and determining an affected circuit in a circuit routing relation according to the affected equipment port.
As a preferred scheme of the intelligent auxiliary overhaul flow analysis method of the present invention, wherein: the data comprises service bearing relation data, optical path routing data, board protection relation data, multiplexing section protection relation data time slot cross data and service channel data.
As a preferred scheme of the intelligent auxiliary overhaul flow analysis method of the present invention, wherein: the analyzing the service influence comprises judging whether the influence circuit interrupts the service, and specifically comprises the steps of firstly establishing a circuit node sequence model when the circuit scheduling is completed; and when the influence is judged, judging the service influence condition by combining the node sequence model of the circuit according to the port and the circuit condition which are overhauled at this time.
As a preferred scheme of the intelligent auxiliary overhaul flow analysis method of the present invention, wherein: judging whether the circuit influences the standard comprises the steps of marking all fault nodes on the circuit sequence model, and judging whether the circuit influences according to the circuit node sequence: if the identified fault node sequence only has a column number, the single-point fault of the circuit is represented, and the circuit service is interrupted; if the fault node sequence has a row number or a chain number, judging whether the branch fault of the row number and all branches of the column number have nodes with fault identifications, and if so, judging the circuit fault;
as a preferred scheme of the intelligent auxiliary overhaul flow analysis method of the present invention, wherein: the process of comparing the project plan and judging the execution condition of the project comprises the following steps of plan generation and actual generation: the alarm generated by the plan and the actual project are generated, and the alarm type accords with the project specification and belongs to the normal necessary alarm information; plan generated + actual not generated: the alarm generated by the plan, but the actual project is generated, the completion degree of the plan project needs to be confirmed, and whether the plan operation is not executed exists; plan not generated + actual generated: an unplanned alarm is generated, and the reason for generating additional alarm information needs to be judged, wherein the reason comprises misoperation in engineering and unreported operation in engineering operation.
As a preferred scheme of the intelligent auxiliary overhaul flow analysis method of the present invention, wherein: judging whether the maintenance is started or ended specifically comprises starting a maintenance project, analyzing the current running state of the maintenance influence service one by one according to the fault influence service analyzed before the maintenance is started and combining the real-time alarm of the current network manager before the maintenance is allowed, if the influence service is abnormal due to faults or other reasons, outputting a report of the influence range and the influence reason, and giving an alarm to a maintenance decision-making person to determine whether the maintenance is continued to be started; and finishing the maintenance engineering, extracting the real-time alarms of the current network manager before the maintenance is finished and allowed, judging whether all the services influenced by the maintenance are recovered one by one, if the services influenced by the maintenance are not recovered, outputting the alarms and the information of the influenced services, and giving an alarm to a maintenance decision maker to determine whether the maintenance is continuously finished.
In order to solve the technical problems, the invention also provides an intelligent auxiliary maintenance flow analysis system, which adopts the following technical scheme: the before-overhaul influence analysis module comprises an overhaul object analysis unit, a data work analysis unit and a service influence analysis unit and is used for analyzing influence factors before overhaul and acquiring an influence range in the overhaul; the influence confirming module during maintenance is connected with the influence analyzing module before maintenance and is used for giving a warning to maintenance decision-making personnel and confirming whether the maintenance is continued to start or end; and the influence summarizing module after the maintenance is connected with the influence confirming module during the maintenance and used for collecting warning information generated by the maintenance to obtain a preliminary work operation quality report.
The invention has the beneficial effects that: the method has the advantages that maintenance decision makers are assisted to quickly and comprehensively determine the influence range of maintenance, and data support is provided for maintenance decisions; the maintenance implementing personnel are assisted to know the real-time situation, and unplanned service interruption is avoided; and carrying out post analysis on the quality of the maintenance engineering.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:
fig. 1 is a basic flow diagram of an intelligent auxiliary inspection flow analysis method and system according to an embodiment of the present invention;
FIG. 2 is a transmission network diagram of an intelligent auxiliary inspection process analysis method and system according to an embodiment of the present invention
FIG. 3 is a schematic diagram of a circuit topology model of an intelligent-assisted inspection flow analysis method and system according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a circuit generation sequence of an intelligent-assisted inspection flow analysis method and system according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a sequence generating algorithm logic of the intelligent auxiliary inspection flow analysis method and system provided by an embodiment of the present invention;
FIG. 6 is a schematic diagram of a circuit sequence model of an intelligently assisted inspection flow analysis method and system according to an embodiment of the present invention;
fig. 7 is a schematic diagram illustrating a result of an alarm information analysis comparison project plan of the intelligent auxiliary maintenance flow analysis method and system according to an embodiment of the present invention;
fig. 8 is a schematic diagram of the speed and resource consumption of the intelligent auxiliary inspection flow analysis method and system according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, specific embodiments accompanied with figures are described in detail below, and it is apparent that the described embodiments are a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present invention, shall fall within the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not enlarged partially in general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Meanwhile, in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and operate, and thus, cannot be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected and connected" in the present invention are to be understood broadly, unless otherwise explicitly specified or limited, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1
In the current application, data and applications of alarms, resources, services and processes are separated from each other, and a unified and integrated application service cannot be realized according to a specific service scene. When the overhaul influence analysis is carried out, the corresponding influence range needs to be checked on a resource management system according to the resource name; in the maintenance process, the corresponding equipment alarm needs to be checked, and the correspondingly generated alarm needs to be checked on the comprehensive monitoring system; lack of data and application service integration and unified analysis, the scope of maintenance and influence can not be mastered accurately, and the quality of maintenance project completion can not be evaluated accurately.
Referring to fig. 1 to 7, an embodiment of the present invention provides an intelligent auxiliary overhaul flow analysis method, including:
s1: analyzing the influence factors of the maintenance, taking the analysis service communication channel as a main line, completing multiple analysis, and analyzing each link one by one to obtain the influence range in the maintenance;
it should be noted that the service communication channel includes dispatch telephone, relay protection, safety automation device, and dispatch automation.
Wherein, analyzing each link comprises analyzing the maintenance object, analyzing the data work and analyzing the service influence.
Further, the overhaul objects comprise board overhaul, network element overhaul, optical cable core overhaul and cable filling section overhaul;
and determining the affected equipment port according to the overhaul object, and confirming the affected circuit in the circuit routing relation according to the affected equipment port.
The data comprises service bearing relation data, optical path routing data, board protection relation data, multiplexing section protection relation data time slot cross data and service channel data.
Specifically, before the maintenance is started, the influence of the maintenance is analyzed, service communication channels such as a dispatching telephone, relay protection, a safety automatic device and dispatching automation are analyzed as a main line, multiple analysis is completed in the system, each link is analyzed one by one, and finally the influence range in the maintenance is obtained, wherein the method comprises the following steps:
analyzing overhaul objects, wherein the main overhaul objects comprise board card overhaul, network element overhaul, optical cable core overhaul and cable filling section overhaul;
the data analysis work, and the influence analysis of the overhaul on the service needs a large amount of data information as support, and the required data mainly includes service bearing relation data, optical path routing data, board protection relation data, multiplexing section protection relation data time slot cross data, service channel data and the like. Determining the port affected this time according to the maintenance object, and confirming the affected circuit this time in the circuit routing relation according to the affected equipment port;
analyzing the service influence, judging whether the influence circuit interrupts the service, firstly establishing a circuit node sequence model when finishing the circuit scheduling, and judging the service influence condition according to the port and the circuit condition of the current maintenance and combining the node sequence model of the circuit when judging the influence, wherein the processing algorithm is as follows:
as shown in fig. 2, it is assumed that 1 optical path exists in the AB network element in fig. 1, and a circuit topology model is established according to the circuit route; producing a node sequence according to a circuit topology model, as shown in fig. 3 and table 1;
table 1: the circuit generates a sequence table.
| Node point | Column number | Line number | Chain number | Serial number |
| a | 01 | 01 | 01 | 01_01_01 |
| |
02 | 01 | 01 | 02_01_01 |
| |
03 | 01 | 01 | 03_01_01 |
| |
03 | 01 | 02 | 03_01_02 |
| e | 03 | 02 | 01 | 03_02_01 |
| |
04 | 01 | 01 | 04_01_01 |
Sequence number setting rules:
column number: if the nodes are not multiple, the nodes are 1 single column number, and the whole multiple-transmitting selective-receiving node belongs to 1 column number;
the row number: the nodes transmit more, and each transmitting point has 1 line number;
chain number: if a plurality of nodes exist in one row number, the nodes are arranged in sequence to produce a chain number;
sequence number generation algorithm: the sequence numbers are generated recursively, and the processing logic is shown in fig. 5.
Judging according to a sequence model: to sum up, a circuit sequence model for judging influence is generated, and the model is shown in fig. 6;
marking all fault nodes on the circuit fault model, and judging whether the circuit is influenced according to the circuit node sequence;
the identified fault node sequence only has a column number, which indicates that the circuit has single-point fault and the circuit service is interrupted;
if the fault node sequence has a row number or a chain number, judging the branch fault of the row number, judging all branches of the row number to be nodes with fault identifications, and if so, judging the circuit fault;
traversing all the influence circuits according to the steps to finally obtain the interruption circuit and the influence circuit, and presenting the maintained influence circuit and the interruption circuit to maintenance decision personnel in a maintenance and examination link so as to facilitate the understanding of influence service during maintenance and examination;
after the overhaul approval is passed, the interrupted circuit of the overhaul and the affected circuit are put in a warehouse and locked, if other overhaul work orders relate to the same circuit, a warning can be provided for subsequent overhaul approval personnel, the current overhaul project arrangement is searched, and overhaul suggested time is intelligently acquired so as to be referred to for overhaul time change.
S2: analyzing the current running state of the maintenance influence service one by one according to the fault influence service analyzed before maintenance and by combining the real-time alarm of the current network manager, and determining whether the maintenance is started or ended;
it should be noted that, the determining whether to start or end the maintenance specifically includes,
starting a maintenance project, analyzing the current running state of the maintenance influence service one by one according to the fault influence service analyzed before maintenance and by combining the real-time alarm of the current network manager before the maintenance is allowed, if the influence service is abnormal due to faults or other reasons, outputting a report of the influence range and the influence reason, and giving an alarm to a maintenance decision-making person to determine whether the maintenance is continued to be started;
and finishing the maintenance engineering, extracting the real-time alarms of the current network manager before the maintenance is finished and allowed, judging whether all the services influenced by the maintenance are recovered one by one, if the services influenced by the maintenance are not recovered, outputting the alarms and the information of the influenced services, and giving an alarm to a maintenance decision maker to determine whether the maintenance is continuously finished.
S3: and collecting alarm information generated by maintenance based on the completed maintenance project, analyzing, comparing the project plan to judge the execution condition of the project, automatically producing an alarm comparison report to obtain a preliminary work operation quality report, and completing maintenance flow analysis.
The process of comparing the project plan to judge the execution condition of the project comprises,
plan generation + actual generation: the plan can generate the alarm, the actual project also generates the alarm, the alarm type accords with the project specification, and the alarm belongs to the normal necessary alarm information;
plan generated + actual not generated: the alarm generated by the plan, but the actual project is generated, the completion degree of the plan project needs to be confirmed, and whether the plan operation is not executed exists;
plan not generated + actual generated: an unplanned alarm is generated, and the reason for generating additional alarm information needs to be judged, wherein the reason comprises misoperation in engineering and unreported operation in engineering operation.
As shown in fig. 7, for these three cases, an alarm comparison report is automatically generated, the plan is compared with the actually generated alarm information, and a preliminary work operation quality report is given.
In order to verify the technical effects adopted in the method, the embodiment adopts the traditional technical scheme and the method of the invention to carry out comparison test, and compares the test results by means of scientific demonstration to verify the real effect of the method.
The invention realizes the pre-analysis of the circuit application by establishing the sequence model of the circuit, and compared with the traditional analysis method, the method has the advantages of high analysis speed and high accuracy in the aspect of overhauling the circuit to influence the analysis application;
the traditional technical scheme is as follows: the influence range of equipment maintenance is determined by analyzing the circuit text routing, and the problems of high analysis time consumption and low accuracy rate exist under the conditions of multiple maintenance equipment and complex influence circuit.
The test environment is shown in table 1:
table 1: and testing an environment table.
1. Model generation speed experiment
Simulating actual production data, establishing sequence models for different types of circuit data, and testing the establishment speed and resource consumption condition of the models by gradually increasing concurrent tasks, as shown in fig. 8 and table 2:
table 2: and (4) testing a result table.
From the test results in the table, it can be seen that the circuit sequence model is established, and when the concurrent tasks are less than 90, each task can be completed within 1 second on average, and the response rate can meet the application requirements.
2. Model accuracy validation
In order to check the circuit sequence model in the scheme, whether the influence of circuit interruption is accurate is judged, and the method introduces a mode of an undirected graph and an adjacent matrix thereof for verification;
taking the circuit topology exemplified herein as an example, as shown in fig. 3, let G ═ V, E be a graph in which aij is a boolean value of whether a node is adjacent to another node, and let (aij) n × m be an adjacency matrix of G, denoted as a (G).
If the node which can be reached after the step l is sent from the point a is calculated, only the row vector of the first row of A1 needs to be calculated, for example, the path of the matrix in the graph on the graph is searched, starting from the 1 st row of A, and the value of the 1 st row is: (010000), the node reachable by point a through one connection is
The operation result is operated again to obtain the result
Thus, it can be seen that the topology point a can be connected to the point f through two connections;
then, a failure judgment is performed, and if the b-point repair generates disconnection, the adjacent matrix is
The calculation is carried out according to the method, and the point a can not reach the point f, and after the circulation execution, the comparison condition is as follows:
| serial number | Disconnection node | Sequence model judgment | Undirected graph and its neighbor matrix judgment | Judging whether the two are consistent |
| 1 | b | Point a can not reach point f | Point a can not reach point f | Is that |
| 2 | c | The point a can reach the point f | The point a can reach the point f | Is that |
| 3 | d | The point a can reach the point f | The point a can reach the point f | Is that |
| 4 | e | The point a can reach the point f | The point a can reach the point f | Is that |
| 5 | c、d | The point a can reach the point f | The point a can reach the point f | Is that |
| 6 | c、e | Point a can not reach point f | Point a can not reach point f | Is that |
| 7 | d、e | Point a can not reach point f | Point a can not reach point f | Is that |
The two algorithms have consistent operation conclusion, and the circuits adopting star, chain and ring mixed structures are analyzed according to the method, the conclusion is consistent, and the algorithm accuracy is determined.
The invention takes the maintenance flow as a main line, integrates relevant information such as resources, services, alarms and the like, provides an intelligent analysis scheme for maintenance flow processing personnel, quickly inquires various relevant data, fully masters the affected services, ensures that the analysis on the affected services is quickly and accurately completed, and achieves the purposes of controllable and quantifiable maintenance range, influence, duration and completed quality.
Example 2
This embodiment is a second embodiment of the present invention, which differs from the first embodiment in that: an intelligently assisted overhaul flow analysis system is provided, comprising:
the before-overhaul influence analysis module comprises an overhaul object analysis unit, a data work analysis unit and a service influence analysis unit and is used for analyzing influence factors before overhaul and acquiring an influence range in the overhaul;
the influence confirming module during maintenance is connected with the influence analyzing module before maintenance and is used for giving a warning to maintenance decision-making personnel and confirming whether the maintenance is continued to start or end;
and the influence summarizing module after the maintenance is connected with the influence confirming module during the maintenance to be used for collecting the alarm information generated by the maintenance to obtain a preliminary work operation quality report.
It should be recognized that embodiments of the present invention can be realized and implemented by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer-readable storage medium configured with the computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, according to the methods and figures described in the detailed description. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
Further, the operations of processes described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes described herein (or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions, and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) collectively executed on one or more processors, by hardware, or combinations thereof. The computer program includes a plurality of instructions executable by one or more processors.
Further, the method may be implemented in any type of computing platform operatively connected to a suitable interface, including but not limited to a personal computer, mini computer, mainframe, workstation, networked or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and the like. Aspects of the invention may be embodied in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optically read and/or write storage medium, RAM, ROM, or the like, such that it may be read by a programmable computer, which when read by the storage medium or device, is operative to configure and operate the computer to perform the procedures described herein. Further, the machine-readable code, or portions thereof, may be transmitted over a wired or wireless network. The invention described herein includes these and other different types of non-transitory computer-readable storage media when such media include instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor. The invention also includes the computer itself when programmed according to the methods and techniques described herein. A computer program can be applied to input data to perform the functions described herein to transform the input data to generate output data that is stored to non-volatile memory. The output information may also be applied to one or more output devices, such as a display. In a preferred embodiment of the invention, the transformed data represents physical and tangible objects, including particular visual depictions of physical and tangible objects produced on a display.
As used in this application, the terms "component," "module," "system," and the like are intended to refer to a computer-related entity, either hardware, firmware, a combination of hardware and software, or software in execution. For example, a component may be, but is not limited to being: a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of example, both an application running on a computing device and the computing device can be a component. One or more components can reside within a process and/or thread of execution and a component can be localized on one computer and/or distributed between two or more computers. In addition, these components can execute from various computer readable media having various data structures thereon. The components may communicate by way of local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the internet with other systems by way of the signal).
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (10)
1. An intelligent auxiliary overhaul flow analysis method is characterized by comprising the following steps:
analyzing the influence factors of the maintenance, taking the analysis service communication channel as a main line, completing multiple analysis, and analyzing each link one by one to obtain the influence range in the maintenance;
analyzing the current running state of the maintenance influence service one by one according to the fault influence service analyzed before maintenance and by combining the real-time alarm of the current network manager, and determining whether the maintenance is started or ended;
and collecting alarm information generated by maintenance based on the completed maintenance project, analyzing, comparing the project plan to judge the execution condition of the project, automatically producing an alarm comparison report to obtain a preliminary work operation quality report, and completing maintenance flow analysis.
2. The intelligent assisted overhaul flow analysis method of claim 1, wherein: the service communication channel comprises a dispatching telephone, relay protection, a safety automatic device and dispatching automation.
3. The intelligent assisted overhaul flow analysis method of claim 1, wherein: and analyzing each link comprises analyzing a maintenance object, analyzing data work and analyzing business influence.
4. The intelligent assisted overhaul flow analysis method of claim 1, wherein: the overhaul objects comprise board card overhaul, network element overhaul, optical cable core overhaul and cable filling section overhaul;
and determining an affected equipment port according to the overhaul object, and determining an affected circuit in a circuit routing relation according to the affected equipment port.
5. The intelligent assisted overhaul flow analysis method of claim 1, wherein: the data comprises service bearing relation data, optical path routing data, board protection relation data, multiplexing section protection relation data time slot cross data and service channel data.
6. The intelligent assisted overhaul flow analysis method of claim 1, wherein: said analyzing the service impact comprises determining whether said impact circuit will interrupt the service, specifically comprising,
firstly, when the circuit scheduling is finished, a circuit node sequence model is established;
and when the influence is judged, judging the service influence condition by combining the node sequence model of the circuit according to the port and the circuit condition which are overhauled at this time.
7. The intelligent assisted overhaul flow analysis method of claim 1, wherein: determining whether the circuit affects a criterion includes,
identifying all fault nodes on the circuit sequence model, and judging whether the circuit is influenced or not according to the circuit node sequence:
if the identified fault node sequence only has a column number, the single-point fault of the circuit is represented, and the circuit service is interrupted;
and if the fault node sequence has a row number or a chain number, judging whether the branch fault of the row number and all branches of the column number have the nodes with fault identifications, and if so, judging the circuit fault.
8. The intelligent assisted overhaul flow analysis method of claim 1, wherein: the process of comparing the project plan and judging the execution condition of the project comprises,
plan generation + actual generation: the alarm generated by the plan and the actual project are generated, and the alarm type accords with the project specification and belongs to the normal necessary alarm information;
plan generated + actual not generated: the alarm generated by the plan, but the actual project is generated, the completion degree of the plan project needs to be confirmed, and whether the plan operation is not executed exists;
plan not generated + actual generated: an unplanned alarm is generated, and the reason for generating additional alarm information needs to be judged, wherein the reason comprises misoperation in engineering and unreported operation in engineering operation.
9. The intelligent assisted overhaul flow analysis method of claim 1, wherein: the step of judging whether the overhaul is started or ended specifically comprises the steps of,
starting a maintenance project, analyzing the current running state of the maintenance influence service one by one according to the fault influence service analyzed before maintenance and by combining the real-time alarm of the current network manager before the maintenance is allowed, if the influence service is abnormal due to faults or other reasons, outputting a report of the influence range and the influence reason, and giving an alarm to a maintenance decision-making person to determine whether the maintenance is continued to be started;
and finishing the maintenance engineering, extracting the real-time alarms of the current network manager before the maintenance is finished and allowed, judging whether all the services influenced by the maintenance are recovered one by one, if the services influenced by the maintenance are not recovered, outputting the alarms and the information of the influenced services, and giving an alarm to a maintenance decision maker to determine whether the maintenance is continuously finished.
10. An intelligent assisted overhaul flow analysis system characterized by comprising:
the before-overhaul influence analysis module comprises an overhaul object analysis unit, a data work analysis unit and a service influence analysis unit and is used for analyzing influence factors before overhaul and acquiring an influence range in the overhaul;
the influence confirming module during maintenance is connected with the influence analyzing module before maintenance and is used for giving a warning to maintenance decision-making personnel and confirming whether the maintenance is continued to start or end;
and the influence summarizing module after the maintenance is connected with the influence confirming module during the maintenance and used for collecting warning information generated by the maintenance to obtain a preliminary work operation quality report.
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