CN112488337B - Intelligent auxiliary overhaul flow analysis method and system - Google Patents
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Abstract
The invention discloses an intelligent auxiliary overhaul flow analysis method and system, comprising the following steps: analyzing the influence factors of the overhaul, taking an analysis service communication channel as a main line, completing multiple analyses, and analyzing each link one by one to obtain the influence range in the overhaul; according to the fault influence service analyzed before overhaul, the current running state of the overhaul influence service is analyzed one by combining with the real-time alarm of the current network manager, and whether overhaul starts or ends is determined; based on the completed overhaul project, analyzing the collected alarm information generated by overhaul, comparing the project plan to judge the execution condition of the project, automatically producing an alarm comparison report, obtaining a working operation quality report, and completing the overhaul flow analysis. According to the invention, an overhaul decision maker is assisted to quickly and comprehensively determine the overhaul influence range, and data support is provided for overhaul decision making; the maintenance implementation 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 overhaul engineering.
Description
Technical Field
The invention relates to the technical field of power communication transmission networks, in particular to an intelligent auxiliary overhaul flow analysis method and system.
Background
At present, the power communication transmission network has a complex network structure in the SDH self-healing ring, and service is not necessarily affected when each device in the ring network is overhauled, but larger-scale service interruption is possibly caused when a plurality of devices are overhauled, so that corresponding measures are needed to be taken for predicting and early warning the service interruption caused by overhauling, and the influence caused by overhauling is analyzed.
The scheme obtains real-time communication alarm data, combines the network topology structure of the power communication transmission network, realizes analysis before overhaul, monitoring in overhaul and summarization after overhaul in the equipment overhaul process, and assists an overhaul process processor in carrying out scheme decision-making, problem positioning, compliance analysis, engineering summarization and other works.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description summary and in the title of the application, to avoid obscuring the purpose of this section, the description summary and the title of the invention, which should not be used to limit the scope of the invention.
The present invention has been made in view of the above-described problems occurring in the prior art.
Therefore, the technical problems solved by the invention are as follows: resources and alarm information related to the process cannot be checked quickly and simply, and the workload of overhaul processing is increased; the process and the actual application scene are split, only serve as a simple working process, and engineering influence and quality analysis cannot be carried out according to the application scene fusion alarm and the resources; the circuit route data analysis of the text cannot achieve 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 overhaul, taking an analysis service communication channel as a main line, completing multiple analyses, and analyzing each link one by one to obtain the influence range in the overhaul; according to the fault influence service analyzed before overhaul, the current running state of the overhaul influence service is analyzed one by combining with the real-time alarm of the current network manager, and whether overhaul starts or ends is determined; based on the completed overhaul project, collecting alarm information generated by overhaul, analyzing, comparing the project plan to judge the execution condition of the project, automatically producing an alarm comparison report, obtaining a preliminary working operation quality report, and completing overhaul flow analysis.
As a preferable scheme of the intelligent auxiliary overhaul flow analysis method, the invention comprises the following steps: the service communication channel comprises a dispatching telephone, relay protection, a safety automatic device and dispatching automation.
As a preferable scheme of the intelligent auxiliary overhaul flow analysis method, the invention comprises the following steps: and each link of analysis comprises analysis of maintenance objects, analysis of data work and analysis of business influence.
As a preferable scheme of the intelligent auxiliary overhaul flow analysis method, the invention comprises the following steps: the overhaul object comprises board overhaul, network element overhaul, optical cable fiber core overhaul and cable filling section overhaul; and determining an affected equipment port according to the overhaul object, and confirming an affected circuit in a circuit routing relation according to the affected equipment port.
As a preferable scheme of the intelligent auxiliary overhaul flow analysis method, the invention comprises the following steps: the data comprises service bearing relation data, optical path routing data, board card protection relation data, multiplexing section protection relation data time slot crossing data and service channel data.
As a preferable scheme of the intelligent auxiliary overhaul flow analysis method, the invention comprises the following steps: the analysis of 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 circuit scheduling is completed; and when the influence judgment is carried out, judging the business influence condition according to the port and the circuit condition of the current overhaul and combining the node sequence model of the circuit.
As a preferable scheme of the intelligent auxiliary overhaul flow analysis method, the invention comprises the following steps: judging whether the circuit affects the standard comprises the steps of marking all fault nodes on the circuit sequence model, and judging whether the circuit affects according to the circuit node sequence: the identified fault node sequence only has a column number, and then the fault node sequence represents a single point fault of a circuit and circuit service interruption; judging whether all branches of the line number and all branches of the column number have nodes with fault marks or not if the fault node sequence has the line number or the chain number, and judging that a circuit has faults if the fault node sequence has the line number or the chain number;
as a preferable scheme of the intelligent auxiliary overhaul flow analysis method, the invention comprises the following steps: the process for comparing the execution condition of the project plan judging project comprises the steps of plan generation and actual generation: the warning generated by planning is generated in actual engineering, the warning type accords with engineering specifications, and the warning type belongs to normal and necessary warning information; planned production + actual not: an alarm generated by planning, but the actual engineering is generated, the completion degree of the planning engineering needs to be confirmed, and whether the planning operation is not executed or not is judged; planned not produced + actual produced: an unplanned alarm is generated, and the reason for generating the additional alarm information needs to be judged, wherein the reasons comprise misoperation in engineering and unreported operation in engineering operation.
As a preferable scheme of the intelligent auxiliary overhaul flow analysis method, the invention comprises the following steps: judging whether the overhaul starts or ends specifically comprises starting overhaul engineering, analyzing the current running state of the overhaul-influencing business one by one according to the fault-influencing business analyzed before overhaul and the real-time alarm of the current network manager before overhaul starts permission, outputting a report of the influence range and the influence reason if the influence business is abnormal due to the fault or other reasons, and giving a warning to an overhaul decision maker to determine whether overhaul continues to start; and (3) finishing the overhaul engineering, extracting real-time alarms of the current network manager before overhaul finishing permission, judging whether all the services affected by the overhaul are recovered one by one, outputting the alarms and the influence service information if the alarms are not recovered, and giving a warning to an overhaul decision maker to determine whether the overhaul is continuously finished.
In order to solve the technical problems, the invention also provides an intelligent auxiliary overhaul flow analysis system, which has the following technical scheme: the pre-overhaul influence analysis module comprises an overhaul object analysis unit, a data work analysis unit and a business influence analysis unit and is used for analyzing influence factors before overhaul and obtaining an influence range in overhaul; the influence confirming module is connected with the influence analyzing module before overhaul and used for giving a warning to overhaul decision-making personnel to confirm whether overhaul is continued to start or end; and the post-overhaul influence summarizing module is connected with the overhaul influence confirming module and is used for collecting alarm information generated by overhaul to obtain a preliminary working operation quality report.
The invention has the beneficial effects that: the auxiliary overhaul decision-making personnel quickly and comprehensively determine the overhaul influence range and provide data support for overhaul decision-making; the maintenance implementation 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 overhaul engineering.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a basic flow diagram of an intelligent assisted inspection flow analysis method and system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a transmission network of an intelligent auxiliary overhaul 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 auxiliary overhaul 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 auxiliary overhaul flow analysis method and system according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a sequence generation algorithm of an intelligent assisted inspection flow analysis method and system according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a circuit sequence model of an intelligent auxiliary overhaul flow analysis method and system according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of an intelligent auxiliary overhaul flow analysis method and system according to an embodiment of the present invention for comparing the results of an engineering plan;
fig. 8 is a schematic diagram of speed and resource consumption of an intelligent auxiliary overhaul flow analysis method and system according to an embodiment of the present invention.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the 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 other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be 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.
While the embodiments of the present invention have been illustrated and described in detail in the drawings, the cross-sectional view of the device structure is not to scale in the general sense for ease of illustration, and the drawings are merely exemplary and should not be construed as limiting the scope of the invention. In addition, the three-dimensional dimensions of length, width and depth should be included in actual fabrication.
Also in the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "upper, lower, inner and outer", etc. are based on the orientation or positional relationship shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not 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 coupled" should be construed broadly in this disclosure unless otherwise specifically indicated and defined, such as: can be fixed connection, detachable connection or integral connection; it may also be a mechanical connection, an electrical connection, or a direct connection, or may be indirectly connected through an intermediate medium, or may be a communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Example 1
In the current application, the data and the application of the alarm, the resource, the service and the flow are mutually separated, and unified and converged application service cannot be realized according to a specific service scene. When overhauling influence analysis is carried out, checking the corresponding influence range on a resource management system according to the resource name; in the overhaul process, corresponding equipment alarms need to be checked, and alarms generated correspondingly need to be checked on the comprehensive monitoring system; the lack of data and the integration and unified analysis of application services lead to the failure to accurately grasp the maintenance range and influence and the failure to accurately evaluate the completion quality of maintenance engineering.
Referring to fig. 1 to 7, for one embodiment of the present invention, an intelligent auxiliary overhaul flow analysis method is provided, including:
s1: analyzing the influence factors of the overhaul, taking an analysis service communication channel as a main line, completing multiple analyses, and analyzing each link one by one to obtain the influence range in the overhaul;
the service communication channel includes dispatch telephone, relay protection, safety automatic device and dispatch automation.
Wherein, each link analysis comprises analysis of maintenance objects, analysis of data work and analysis of business influence.
Further, the overhaul object comprises board overhaul, network element overhaul, optical cable fiber core overhaul and cable filling section overhaul;
and determining the affected equipment ports according to the maintenance objects, and confirming the affected circuits in the circuit routing relation according to the affected equipment ports.
The data comprises service bearing relation data, optical path routing data, board card protection relation data, multiplexing section protection relation data time slot crossing data and service channel data.
Specifically, before the overhaul starts, the influence of the overhaul is analyzed, the business communication channels such as an analysis dispatching telephone, relay protection, a safety automatic device, dispatching automation and the like are taken as a main line, a plurality of analyses are completed in the system, each link is analyzed one by one, and finally, the influence range in the overhaul is obtained, and the steps are as follows:
analyzing maintenance objects, wherein the analysis of main maintenance objects comprises board card maintenance, network element maintenance, optical cable fiber core maintenance and cable filling section maintenance;
the analysis data works, and the influence analysis of overhaul on the service needs a large amount of data information as support, wherein the required data mainly comprise service bearing relation data, optical path routing data, board card protection relation data, multiplexing section protection relation data time slot crossing data, service channel data and the like. Determining the port affected at this time according to the maintenance object, and confirming the affected circuit at this time in the circuit routing relation according to the affected equipment port;
analyzing the business influence, judging whether the influence circuit interrupts the business, firstly, when completing the circuit dispatching, establishing a circuit node sequence model, and when performing influence judgment, judging the business influence condition according to the port and the circuit condition which are overhauled at the time and combining the node sequence model of the circuit, wherein the processing algorithm is as follows:
as shown in fig. 2, 1 optical path exists in the AB network element in fig. 1, and a circuit topology model is built 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 circuitry generates a sequence listing.
| Node | Column number | Line number | Chain number | Sequence number |
| a | 01 | 01 | 01 | 01_01_01 |
| b | 02 | 01 | 01 | 02_01_01 |
| c | 03 | 01 | 01 | 03_01_01 |
| d | 03 | 01 | 02 | 03_01_02 |
| e | 03 | 02 | 01 | 03_02_01 |
| f | 04 | 01 | 01 | 04_01_01 |
Sequence number setting rules:
column number: if the node has no multiple numbers, the node is 1 column number independently, and the whole multiple-selection receiving node belongs to 1 column number;
line number: multiple nodes, each transmitting point is 1 line number;
chain number: if a plurality of nodes are arranged in a row number, the chain number is produced in sequence;
sequence number generation algorithm: the sequence numbers are generated by recursively traversing, and the processing logic is shown in fig. 5.
Judging according to the sequence model: generating a circuit sequence model for judging influence in a comprehensive way, wherein the model is shown in fig. 6;
marking all fault nodes on the circuit fault model, and judging whether the circuit is affected or not according to the circuit node sequence;
the marked fault node sequence has only a column number, which indicates that the circuit has single-point fault and circuit service is interrupted;
judging that the branch of the line number is faulty if the faulty node sequence has the line number or the chain number, judging that all branches of the line number are nodes with fault identifications, and judging that the circuit is faulty if the faulty node sequence has the line number or the chain number;
traversing all the influence circuits according to the steps, finally obtaining the interrupt circuit and the influence circuit, and presenting the overhauled influence circuit and interrupt circuit to overhauling decision-making staff in an overhauling and examining link, so that the influence business can be conveniently known during overhauling and examining;
after the overhaul approval passes, the interrupt circuit and the influence circuit of the overhaul are put in storage and locked, if other overhaul work orders relate to the same circuit, a warning is given to subsequent overhaul approval personnel, and meanwhile, the current overhaul engineering arrangement is searched, and overhaul proposal time is intelligently obtained for overhaul time change reference.
S2: according to the fault influence service analyzed before overhaul, the current running state of the overhaul influence service is analyzed one by combining with the real-time alarm of the current network manager, and whether overhaul starts or ends is determined;
it should be noted that, judging whether the maintenance starts or ends specifically includes,
before the overhaul starts to permit, analyzing the current running state of the overhaul-influencing business one by one according to the fault-influencing business analyzed before the overhaul and the real-time alarm of the current network manager, if the influence business is abnormal due to faults or other reasons, outputting a report of the influence range and the influence reason, giving a warning to an overhaul decision maker, and determining whether the overhaul starts continuously;
and (3) finishing the overhaul engineering, extracting real-time alarms of the current network manager before overhaul finishing permission, judging whether all the services affected by the overhaul are recovered one by one, outputting the alarms and the influence service information if the alarms are not recovered, and giving a warning to an overhaul decision maker to determine whether the overhaul is continuously finished.
S3: based on the completed overhaul project, collecting alarm information generated by overhaul, analyzing, comparing the project plan to judge the execution condition of the project, automatically producing an alarm comparison report, obtaining a preliminary working operation quality report, and completing overhaul flow analysis.
The process of comparing engineering plans to judge the execution condition of engineering comprises,
planned production + actual production: the warning generated by planning is generated in actual engineering, the warning type accords with engineering specifications, and the warning information is normally necessary;
planned production + actual not: an alarm generated by planning, but the actual engineering is generated, the completion degree of the planning engineering needs to be confirmed, and whether the planning operation is not executed or not is judged;
planned not produced + actual produced: an unplanned alarm is generated, and the reason for generating the additional alarm information needs to be judged, wherein the reasons comprise misoperation in engineering and unreported operation in engineering operation.
As shown in fig. 7, for these three cases, an alarm comparison report is automatically produced, and the planned and actually produced alarm information is compared, and a preliminary work operation quality report is given.
In order to verify and explain the technical effects adopted in the method, the traditional technical scheme and the method are adopted for comparison test, and the test results are compared by means of scientific demonstration to verify the true effects of the method.
The method realizes the pre-analysis of the circuit application by establishing the sequence model of the circuit, and has the advantages of high analysis speed and high accuracy compared with the traditional analysis method in the analysis application of the influence of the overhauling circuit;
the traditional technical scheme is as follows: by analyzing the circuit text route, the influence range of equipment overhaul is determined, and under the condition that the overhaul equipment is more and the influence circuit is complex, the problems of high analysis time consumption and low accuracy exist.
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 kinds of circuit data, and increasing concurrent tasks step by step to test the establishment speed and resource consumption conditions of the models, as shown in fig. 8 and table 2:
table 2: test results table.
As can be seen from the test results of the table, a circuit sequence model is established, and when concurrent tasks are below 90, each task can be completed within 1 second on average, and the response rate can meet the requirements of application.
2. Model accuracy verification
In order to check a circuit sequence model in the scheme to judge whether the influence of circuit interruption is accurate, the embodiment introduces 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, where aij is a boolean value of whether a node is adjacent to another node, and the adjacency matrix where (aij) n×m is G is denoted as a (G).
If the node which can be reached after the step I is sent out from the point a is calculated, only the row vector of the first row of A1 is needed to be calculated, for example, the path of the matrix in the diagram on the diagram is searched, the path can be started from the 1 st row of A, and the value of the 1 st row is as follows: (0 1 0 0 0 0) the node at which point a is reachable by one connection is
The operation result is operated again, and the result can be obtained
It can be seen from this that the topology a point can be connected to the f point by two connections;
then, fault judgment is carried out, and if disconnection occurs in the point b overhaul, the adjacent matrix is
By calculating according to the method, the point a can not reach the point f, and after the cyclic execution, the comparison condition is as follows:
| sequence number | Disconnection node | Sequence model judgment | Undirected graph and adjacent matrix judgment thereof | Judging whether or not to be consistent |
| 1 | b | Point a cannot reach point f | Point a cannot 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 cannot reach point f | Point a cannot reach point f | Is that |
| 7 | d、e | Point a cannot reach point f | Point a cannot reach point f | Is that |
The two algorithms have the same operation conclusion, the circuits adopting star-shaped, chain-shaped and ring-shaped mixed structures are analyzed according to the method, the conclusion is consistent, and the algorithm accuracy is determined.
The invention takes the overhaul flow as a main line, integrates the related information of resources, services, alarms and the like, provides an intelligent analysis scheme for overhaul flow processing personnel, quickly inquires various related data, fully grasps the influence service, ensures the quick and accurate analysis of the influence service, and achieves the purposes of controllable and quantized overhaul range, influence and duration and completion quality.
Example 2
This embodiment a second embodiment of the invention, which differs from the first embodiment, is: an intelligent assisted overhaul flow analysis system is provided, comprising:
the pre-overhaul influence analysis module comprises an overhaul object analysis unit, a data work analysis unit and a business influence analysis unit and is used for analyzing influence factors before overhaul and obtaining an influence range in overhaul;
the influence confirming module is connected with the influence analyzing module before overhaul and used for giving a warning to overhaul decision-making personnel to confirm whether overhaul is continued to start or ended;
the post-overhaul influence summarizing module is connected with the overhaul influence confirming module and is used for collecting alarm information generated by overhaul to obtain a preliminary working operation quality report.
It should be appreciated that embodiments of the invention may be implemented or realized 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 a computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, in accordance with the methods and drawings described in the specific embodiments. 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.
Furthermore, the operations of the processes described herein may be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes (or variations and/or combinations thereof) described herein may be performed under 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), by hardware, or combinations thereof, collectively executing on one or more processors. 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 computing platform, including, but not limited to, a personal computer, mini-computer, mainframe, workstation, network or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and so forth. Aspects of the invention may be implemented 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, optical read and/or write storage medium, RAM, ROM, etc., such that it is readable by a programmable computer, which when read by a computer, is operable to configure and operate the computer to perform the processes described herein. Further, the machine readable code, or portions thereof, may be transmitted over a wired or wireless network. When such media includes instructions or programs that, in conjunction with a microprocessor or other data processor, implement the steps described above, the invention described herein includes these and other different types of non-transitory computer-readable storage media. The invention also includes the computer itself when programmed according to the methods and techniques of the present invention. The computer program can be applied to the input data to perform the functions described herein, thereby converting the input data to generate output data that is stored to the 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 specific 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, the components may be, but are not limited to: 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 may reside within a process and/or thread of execution and a component may be localized on one computer and/or distributed between two or more computers. Furthermore, 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 embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, 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 the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
Claims (5)
1. An intelligent auxiliary overhaul flow analysis method is characterized by comprising the following steps:
analyzing the influence factors of the overhaul, taking an analysis service communication channel as a main line, completing multiple analyses, and analyzing each link one by one to obtain the influence range in the overhaul;
analyzing each link comprises analyzing maintenance objects, analyzing data work and analyzing business influence;
the analyzing the business impact includes determining whether the impact circuit will interrupt the business, including in particular,
firstly, when circuit scheduling is completed, a circuit node sequence model is established;
when the influence judgment is carried out, judging the service influence condition according to the port and the circuit condition of the overhaul and by combining the circuit node sequence model;
determining whether the circuit affects a criterion includes,
identifying all fault nodes on the circuit node sequence model, and judging whether a circuit affects according to the circuit node sequence:
the identified fault node sequence only has a column number, and then the fault node sequence represents a single point fault of a circuit and circuit service interruption;
judging whether all branches of the line number and all branches of the column number have nodes with fault marks or not if the fault node sequence has the line number or the chain number, and judging that a circuit has faults if the fault node sequence has the line number or the chain number;
according to the fault influence service analyzed before overhaul, the current running state of the overhaul influence service is analyzed one by combining with the real-time alarm of the current network manager, and whether overhaul starts or ends is determined;
determining whether the service is started or ended specifically includes,
before the overhaul starts to permit, analyzing the current running state of the overhaul-influencing business one by one according to the fault-influencing business analyzed before the overhaul and the real-time alarm of the current network manager, if the influence business is abnormal due to faults or other reasons, outputting a report of the influence range and the influence reason, giving a warning to an overhaul decision maker, and determining whether the overhaul starts continuously;
before the overhaul is ended, extracting real-time alarms of the current network manager, judging whether all the businesses affected by the overhaul are recovered one by one, outputting the alarms and the business affecting information if the businesses are not recovered, giving a warning to an overhaul decision maker, and determining whether the overhaul is ended continuously;
based on the completed overhaul project, collecting alarm information generated by overhaul for analysis, comparing the project plan to judge the execution condition of the project, automatically producing an alarm comparison report, obtaining a preliminary working operation quality report, and completing overhaul flow analysis;
the process of comparing the project plan to judge the execution condition of the project comprises,
planned production + actual production: the warning generated by planning is generated in actual engineering, the warning type accords with engineering specifications, and the warning information is normally necessary;
planned production + actual not: an alarm generated by planning, but the actual project is not generated, and the completion degree of the planning project needs to be confirmed, and whether the planning operation is not executed or not is required;
planned not produced + actual produced: an unplanned alarm is generated, and the reason for generating the additional alarm information needs to be judged, wherein the reasons comprise misoperation in engineering and unreported operation in engineering operation.
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: the overhaul object comprises board overhaul, network element overhaul, optical cable fiber core overhaul and cable filling section overhaul;
and determining an affected equipment port according to the overhaul object, and confirming an affected circuit in a circuit routing relation according to the affected equipment port.
4. The intelligent assisted overhaul flow analysis method of claim 1, wherein: the data comprises service bearing relation data, optical path routing data, board card protection relation data, multiplexing section protection relation data time slot crossing data and service channel data.
5. An intelligent assisted inspection process analysis system based on the intelligent assisted inspection process analysis method of claim 1, comprising:
the pre-overhaul influence analysis module comprises an overhaul object analysis unit, a data work analysis unit and a business influence analysis unit and is used for analyzing influence factors before overhaul and obtaining an influence range in overhaul;
the influence confirming module is connected with the influence analyzing module before overhaul and used for giving a warning to overhaul decision-making personnel to confirm whether overhaul is continued to start or end;
and the post-overhaul influence summarizing module is connected with the overhaul influence confirming module and is used for collecting alarm information generated by overhaul to obtain a preliminary working operation quality report.
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Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2001039082A2 (en) * | 1999-11-22 | 2001-05-31 | Accenture Llp | Scheduling and planning before and proactive management during maintenance and service in a network-based supply chain environment |
| CN101272310A (en) * | 2007-03-22 | 2008-09-24 | 华为技术有限公司 | Ethernet looped network automatic protection rotation method and device |
| CN102006218A (en) * | 2009-09-03 | 2011-04-06 | 中兴通讯股份有限公司 | Tunnel protection method and device |
| CN102437922A (en) * | 2011-09-24 | 2012-05-02 | 国网电力科学研究院 | N-1 principle-based electric power communication network service influence analysis method |
| CN103873139A (en) * | 2012-12-18 | 2014-06-18 | 河南省电力公司郑州供电公司 | Method and system for assisting communication dispatching fault diagnosis |
| CN104655985A (en) * | 2015-01-30 | 2015-05-27 | 国家电网公司 | Power grid fault diagnosis method based on and-or tree model |
| CN106022613A (en) * | 2016-05-23 | 2016-10-12 | 华电国际宁夏新能源发电有限公司 | Mobile standard maintenance system of wind generating set based on enterprise maintenance file package |
| CN106487001A (en) * | 2015-08-28 | 2017-03-08 | 中国电力科学研究院 | A kind of isolated power system intelligent reconstruction method |
| CN107026780A (en) * | 2017-04-14 | 2017-08-08 | 云南电网有限责任公司电力科学研究院 | A kind of distribution optical fiber ring network fault point positioning method and system based on Internet of Things |
| CN107169646A (en) * | 2017-05-10 | 2017-09-15 | 祥云供电有限公司 | A kind of power network connectivity analysis methods based on static topological island |
| CN108712285A (en) * | 2018-05-18 | 2018-10-26 | 国家电网公司信息通信分公司 | A kind of analog simulation method and device of optical transport network |
| CN110049047A (en) * | 2019-04-22 | 2019-07-23 | 广东电网有限责任公司 | A kind of power communication maintenance is self-service to permit to handle system |
| CN111899127A (en) * | 2020-08-28 | 2020-11-06 | 国网四川省电力公司技能培训中心 | Fault tree modeling method and model based on layering and application method thereof |
| CN111914401A (en) * | 2020-07-08 | 2020-11-10 | 国家电网有限公司 | Power communication network maintenance drilling method and system based on fault simulation |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100090542A1 (en) * | 2006-10-27 | 2010-04-15 | Outsmart Power Systems, Llc | Mapped Nodes In A Wire Network Providing Power/Communication & Load Identification |
| US20120091820A1 (en) * | 2008-09-27 | 2012-04-19 | Campanella Andrew J | Wireless power transfer within a circuit breaker |
| CN104537219B (en) * | 2014-12-18 | 2017-08-04 | 贵州电网公司信息通信分公司 | The method of the powered initialization of power distribution network dynamic topology |
-
2020
- 2020-12-11 CN CN202011446249.7A patent/CN112488337B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2001039082A2 (en) * | 1999-11-22 | 2001-05-31 | Accenture Llp | Scheduling and planning before and proactive management during maintenance and service in a network-based supply chain environment |
| CN101272310A (en) * | 2007-03-22 | 2008-09-24 | 华为技术有限公司 | Ethernet looped network automatic protection rotation method and device |
| CN102006218A (en) * | 2009-09-03 | 2011-04-06 | 中兴通讯股份有限公司 | Tunnel protection method and device |
| CN102437922A (en) * | 2011-09-24 | 2012-05-02 | 国网电力科学研究院 | N-1 principle-based electric power communication network service influence analysis method |
| CN103873139A (en) * | 2012-12-18 | 2014-06-18 | 河南省电力公司郑州供电公司 | Method and system for assisting communication dispatching fault diagnosis |
| CN104655985A (en) * | 2015-01-30 | 2015-05-27 | 国家电网公司 | Power grid fault diagnosis method based on and-or tree model |
| CN106487001A (en) * | 2015-08-28 | 2017-03-08 | 中国电力科学研究院 | A kind of isolated power system intelligent reconstruction method |
| CN106022613A (en) * | 2016-05-23 | 2016-10-12 | 华电国际宁夏新能源发电有限公司 | Mobile standard maintenance system of wind generating set based on enterprise maintenance file package |
| CN107026780A (en) * | 2017-04-14 | 2017-08-08 | 云南电网有限责任公司电力科学研究院 | A kind of distribution optical fiber ring network fault point positioning method and system based on Internet of Things |
| CN107169646A (en) * | 2017-05-10 | 2017-09-15 | 祥云供电有限公司 | A kind of power network connectivity analysis methods based on static topological island |
| CN108712285A (en) * | 2018-05-18 | 2018-10-26 | 国家电网公司信息通信分公司 | A kind of analog simulation method and device of optical transport network |
| CN110049047A (en) * | 2019-04-22 | 2019-07-23 | 广东电网有限责任公司 | A kind of power communication maintenance is self-service to permit to handle system |
| CN111914401A (en) * | 2020-07-08 | 2020-11-10 | 国家电网有限公司 | Power communication network maintenance drilling method and system based on fault simulation |
| CN111899127A (en) * | 2020-08-28 | 2020-11-06 | 国网四川省电力公司技能培训中心 | Fault tree modeling method and model based on layering and application method thereof |
Non-Patent Citations (1)
| Title |
|---|
| 电力通信设备检修影响业务分析的研究及应用;茹新伟;通讯世界(第2016（06）期);126-127 * |
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