CN115438093A

CN115438093A - Power communication equipment fault judgment method and detection system

Info

Publication number: CN115438093A
Application number: CN202211009135.5A
Authority: CN
Inventors: 孙海
Original assignee: Bazhou Power Supply Co Of State Grid Xinjiang Electric Power Co ltd; State Grid Corp of China SGCC
Current assignee: Bazhou Power Supply Co Of State Grid Xinjiang Electric Power Co ltd; State Grid Corp of China SGCC
Priority date: 2022-08-22
Filing date: 2022-08-22
Publication date: 2022-12-06

Abstract

The invention discloses a power communication equipment fault judgment and detection system. According to the invention, the fault positioning module mainly searches the accurate position of the fault from different dimensions according to the result information output by the abnormal data analysis module, so that the subsequent analysis and identification efficiency of the fault is improved, convenience is brought to the use of people, each module of safety management is arranged in the safety management module, the safety precaution management can be carried out on the whole system, the system data is prevented from being infringed by unknown factors to the greatest extent, a simple connection means can be provided for various application programs, and an efficient data acquisition mode is provided; meanwhile, the network layout of the power communication equipment monitoring and management system uses hierarchical management, so that not only is the safety of data ensured, but also the smoothness of data exchange is ensured. The network structure of the power communication equipment monitoring and management system is simple, and the robustness of the network is greatly improved by using the dual-network structure.

Description

Power communication equipment fault judgment method and detection system

Technical Field

The invention belongs to the technical field of power communication equipment fault judgment, and particularly relates to a power communication equipment fault judgment method and a power communication equipment fault detection system.

Background

The electric power communication equipment fault early warning is established on the basis of the research on fault diagnosis technology, and has the function of early warning judgment on the possibility of various faults of various electric power communication equipment. The power communication equipment fault diagnosis is a process of identifying effective information such as a geographical location and a type of a fault occurrence by collecting information in various monitoring equipment. The fault diagnosis technology of the power communication equipment has important research significance, the types and the quantity of generated faults start to increase rapidly along with the continuous increase of the quantity and the types of the information communication equipment, how to effectively analyze and process fault data of the information communication equipment so as to obtain useful knowledge, the maintenance and management work of the auxiliary information communication equipment becomes a key problem, meanwhile, along with the increase of the quantity and the types of the information communication equipment, the boundary of a network is continuously extended, weak links of various systems and equipment cannot be accurately positioned, how to manage and configure the information communication equipment and how to analyze various logs generated by the operation of the equipment so as to accurately measure and control risks also become a key problem

However, the conventional detection systems lack safety management of the power communication devices, so that the safety of the power communication devices during use is not high enough.

Disclosure of Invention

The invention aims to: in order to solve the above-mentioned problems, a method and a system for determining a fault of a power communication device are provided.

The technical scheme adopted by the invention is as follows: a power communication equipment fault judgment method and a power communication equipment fault detection system comprise a starting module, a data acquisition module, a fault data processing module, a fault data modeling module, a fault data testing module, a visualization module, a safety management module, a network topology management module, a resource query statistics module, an abnormal report checking module and a data maintenance module, wherein the output end of the starting module is connected with the input end of the data acquisition module, the output end of the data acquisition module is connected with the input end of the fault data processing module, the output end of the fault data processing module is connected with the input end of the fault data modeling module, the output end of the fault data modeling module is connected with the input end of the fault data testing module, the output end of the fault data testing module is connected with the input end of the visualization module, and the safety management module is arranged outside the fault data processing module.

In a preferred embodiment, a network topology management module, a resource query statistics module, an exception report checking module and a data maintenance module are fixedly installed inside the security management module, and output ends of the network topology management module, the resource query statistics module, the exception report checking module and the data maintenance module are connected with an input end of the security management module.

In a preferred embodiment, the data acquisition module uniformly imports data in a plurality of data sources into a big data platform for uniform storage and uses the data as source data of data calculation; the data acquisition module comprises the following operation steps: firstly, locally generating a big file of about 60G/130G; and then, the local file is put into the HDFS cluster, the HDFS data is loaded into hbas in a bulk-load mode, and 18G and 36G data of the file in the database are extracted into the HDFS through public sqoop.

In a preferred embodiment, the fault data processing module performs preprocessing on data in the historical fault data, including discretization of continuity data, deletion of data with incomplete content, dimension selection and data normalization.

In a preferred embodiment, the network topology management module implements layout design of each station, cable connection design, pole and road diagram design, cable fusion information design, machine room cabinet arrangement, equipment layout, equipment port connection, wiring jumper design and communication power supply equipment layout design by dividing into a total number and a thickness.

In a preferred embodiment, the resource query statistics module has a rich query function through the power communication device monitoring and management system, can query the current state of the device, can query historical information of the device, can query an approximate position of a fault, and can perform fuzzy query to obtain all relevant results.

In a preferred embodiment, the exception reporting and checking module may perform statistics according to regions, departments and floors, or may perform statistics according to types and attributes.

In a preferred embodiment, the data maintenance module can save data to the database by entering the data and then clicking on the submission. And for the graphs of the devices, the data of various devices are maintained through the facing object database, and the physical relationship between the devices is set through the facing object database intuitively. The position and the state of the equipment are efficiently displayed through a GIS platform, and a graphical management platform is realized.

In a preferred embodiment, after the fault data modeling module constructs the fault knowledge base, rule object inference is performed, and the rule object inference process is as follows: 1) When the network normally operates, the system does not need to carry out fault diagnosis, and all the rules are stored in the alarm rule database; 2) When the network operation is abnormal, the network alarm will appear. And matching the alarm information with each rule in the knowledge base, and calling a reasoning function to execute the rule if the matching is successful. 3) The system writes the alarm into a network log and modifies certain states; 4) Constructing context, and accessing network resource information, alarm information and rule list information in the inference process; 5) Establishing a new rule object according to the updated context, performing query operation on a rule database, and searching a matched rule; 6) And calling the inference function of the new rule object, and repeatedly executing the steps from 3 to 6 until all the matching rules are executed.

In a preferred embodiment, the fault data testing module tests the model by using the modeling data until a satisfactory result is obtained, data mining is to build the model, and the model is applied to process the data, in the process, certain requirements are required on the format, the representation form, the dimension and the like of the data, and the specific model needs data matched with the data.

In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:

1. in the invention, each module of safety management is arranged in the safety management module, so that the safety precaution management can be carried out on the whole system, the system data is prevented from being infringed as much as possible, a simple connection means can be provided for various application programs, and an efficient data acquisition mode is provided; meanwhile, the network layout of the power communication equipment monitoring and management system uses hierarchical management, so that not only is the safety of data ensured, but also the smoothness of data exchange is ensured. The network structure of the power communication equipment monitoring and management system is simple, and the robustness of the network is greatly improved by using the dual-network structure.

2. In the invention, the fault data modeling module, the fault data testing module and the abnormal data detecting module are interacted, abnormal data screened out from the abnormal data detecting module are analyzed in the abnormal data detecting module, and the fault type and the solution are output to the fault positioning module. And then the fault positioning module mainly searches the accurate position of the fault from different dimensionalities according to the result information output by the abnormal data analysis module, so that the subsequent analysis and identification efficiency of the fault is improved, and convenience is brought to the use of people.

Drawings

FIG. 1 is a block diagram of the system of the present invention;

FIG. 2 is a system block diagram of a security management module according to the present invention.

The labels in the figure are: the system comprises a starting module 1, a data acquisition module 2, a fault data processing module 3, a fault data modeling module 4, a fault data testing module 5, a visualization module 6, a safety management module 7, a network topology management module 8, a resource query statistics module 9, an exception reporting and checking module 10 and a data maintenance module 11.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

With reference to figures 1-2 of the drawings,

a power communication equipment fault judgment method and detection system comprises a starting module 1, a data acquisition module 2, a fault data processing module 3, a fault data modeling module 4, a fault data testing module 5, a visualization module 6, a safety management module 7, a network topology management module 8, a resource query and statistics module 9, an abnormal report and inspection module 10 and a data maintenance module 11,

the output of start module 1 is connected with the input of data acquisition module 2, the output of data acquisition module 2 is connected with the input of trouble data processing module 3, the input of trouble data modeling module 4 is connected to the output of trouble data processing module 3, the input of trouble data test module 5 is connected to the output of trouble data modeling module 4, the output of trouble data test module 5 is connected with visual module 6's input, the outside of trouble data processing module 3 is provided with safety control module 7.

The inside of the security management module 7 is fixedly provided with a network topology management module 8, a resource query statistics module 9, an exception reporting inspection module 10 and a data maintenance module 11, and the output ends of the network topology management module 8, the resource query statistics module 9, the exception reporting inspection module 10 and the data maintenance module 11 are connected with the input end of the security management module 7.

The data acquisition module 2 uniformly imports data in various data sources into a big data platform for uniform storage and uses the data as source data of data calculation; the data acquisition module 2 comprises the following operation steps: firstly, locally generating a large file of about 60G/130G; and then, the local file is put into the HDFS cluster, the HDFS data is loaded into hbas in a bulk-load mode, and 18G and 36G data of the file in the database are extracted into the HDFS through public sqoop.

The fault data processing module 3 preprocesses data in the historical fault data, including operations of discretization of continuous data, deletion of data with incomplete content, dimension selection, data normalization processing and the like. This is done on a big data platform. Dividing the processed data into two parts: one part is used for the data modeling module, and the other part is used for the model testing module.

The network topology management module 8 implements and finishes layout design, optical cable connection design, pole and path diagram design, optical cable fusion information design, machine room cabinet arrangement, equipment layout, equipment port connection, wiring jumper design and communication power supply equipment layout design of each station by adopting a mode of dividing from the total to the total and firstly thickening and then thinning. The data entry is carried out on each device and each line object, and meanwhile, the device management technical document, the loaded service report and the optical cable detection data document which are concerned at ordinary times are integrated and integrated together.

The resource query statistical module 9 has a rich query function through the power communication device monitoring and management system, can query the current state of the device, can check historical information of the device, can query the approximate position of a fault, and can perform fuzzy query on all relevant results. Through the abundant statistical function of power communication equipment monitoring management system, various data of present system can be well counted, such as the rate of utilization of equipment, the maintenance history of equipment, the service life of optical cable, the quantity of website, the quantity of equipment in a certain area etc..

The power communication equipment monitoring and management system provides various statistical graphs, and a line graph, a bar graph and a pie graph of the statistical graphs can be used for carrying out corresponding data statistical functions. The system generates a corresponding statistical report and draws a corresponding graph, and corresponding items can be selected in the graph, for example, a site is selected, and the system can be switched to the corresponding site. The system supports an Excel exporting function, the system supports an online printing function, and the system supports an online data transmission function.

The exception reporting and checking module 10 can perform statistics according to regions, departments and floors, and can perform statistics according to types and attributes. For example, statistics is carried out on ADSS or OPGW optical cables, if a fault occurs in the optical cable, the detection system indicates that the breakpoint of the optical cable is at 37km, and then the breakpoint is input in the "distance machine room length" of the tower only in the query window: 36 km-38 km, the system can search the towers with possible faults. By double clicking the data, the system can automatically open the corresponding pole road map and indicate the position of the pole road map in a red flashing mode, so that the system is very convenient for fault first-aid repair and fault location.

The data maintenance module 11 can save the data to the database by entering the data and then clicking on the submission. And for the graphs of the devices, data of various devices are maintained by facing the object database, and physical relations between the devices are set up intuitively by facing the object database. The position and the state of the equipment are efficiently displayed through a GIS platform, and a graphical management platform is realized.

The fault data modeling module 4 carries out rule object reasoning after the fault knowledge base is constructed, and the reasoning process of the rule object is as follows: 1, when the network normally operates, the system does not need to carry out fault diagnosis, and all rules are stored in an alarm rule database; and 2, when the network operates abnormally, a network alarm occurs. And matching the alarm information with each rule in the knowledge base, and calling a reasoning function to execute the rule if the matching is successful. 3, the system writes the alarm into a network log and modifies certain states; 4, constructing context, and accessing network resource information, alarm information and rule list information in the inference process; 5, establishing a new rule object according to the updated context, performing query operation on a rule database, and searching a matched rule; 6 calling the reasoning function of the new rule object, and repeatedly executing the steps from 3 to 6 until all the matching rules are executed.

The fault data testing module 5 tests the model by using the modeling data until a satisfactory result is obtained, the data mining is simply to establish the model and apply the model to process the data, certain requirements are required on the format, the representation form, the dimensionality and the like of the data in the process, and the specific model needs the data matched with the data. However, data generated in real life due to various reasons have the problems of inconsistency, repetition, noise, high latitude and the like, and when the problem of data dimension is solved, the data cannot be completed at one time in many cases, but the data can be finally obtained according with the mining model by performing the test, the feedback effect, the dimension adjustment and the retest for many times, and then the final model is displayed in the equipment of the visualization module 6.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.

The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will 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

1. The utility model provides a detecting system that electric power communication equipment trouble was judged, includes start-up module (1), data acquisition module (2), fault data processing module (3), fault data modeling module (4), fault data test module (5), visual module (6), safety management module (7), network topology management module (8), resource inquiry statistics module (9), unusual report inspection module (10), data maintenance module (11), its characterized in that: the output of starting module (1) is connected with the input of data acquisition module (2), the output of data acquisition module (2) is connected with the input of trouble data processing module (3), the output of trouble data processing module (3) is connected with the input of trouble data modeling module (4), the output of trouble data modeling module (4) is connected with the input of trouble data test module (5), the output of trouble data test module (5) is connected with the input of visual module (6), the outside of trouble data processing module (3) is provided with safety management module (7).

2. The power communication equipment failure judgment and detection system according to claim 1, characterized in that: the intelligent network safety management system is characterized in that a network topology management module (8), a resource query statistics module (9), an exception reporting inspection module (10) and a data maintenance module (11) are arranged in the safety management module (7), and the output ends of the network topology management module (8), the resource query statistics module (9), the exception reporting inspection module (10) and the data maintenance module (11) are connected with the input end of the safety management module (7).

3. The power communication device failure determination and detection system of claim 1, wherein: the data acquisition module (2) uniformly imports data in various data sources into a big data platform for uniform storage and serves as source data for data calculation; the data acquisition module (2) comprises the following operation steps: firstly, generating a file locally, then transmitting the local file to an HDFS cluster, then transmitting the HDFS data to a host interface card, and extracting 18G and 36G data from a database file into the HDFS data.

4. The power communication device failure determination and detection system of claim 1, wherein: the fault data processing module (3) is used for preprocessing data in the historical fault data, and comprises the steps of discretization of continuous data, deletion of data with incomplete content, dimension selection and data normalization processing.

5. The power communication device failure determination and detection system of claim 1, wherein: the network topology management module (8) implements layout design, optical cable connection design, pole road diagram design, optical cable fusion information design, machine room cabinet arrangement, equipment layout, equipment port connection, wiring jumper design and communication power supply equipment layout design of each station by adopting a mode of dividing from the total to the total and firstly thickening and then thinning.

6. A power communication device failure determination and detection system according to claim 1, wherein: the resource query statistical module (9) has rich query functions through the power communication device monitoring and management system, can query the current state of the device, can check historical information of the device, query the approximate position of a fault, and perform fuzzy query to all related results.

7. A power communication device failure determination and detection system according to claim 1, wherein: the abnormity report checking module (10) can carry out statistics according to regions, departments and floors, and can carry out statistics according to types and attributes.

8. The power communication device failure determination and detection system of claim 1, wherein: the data maintenance module (11) can save the data to the database by entering the data and then clicking on the submission.

9. The power communication device failure determination and detection system of claim 1, wherein: the fault data modeling module (4) constructs a fault knowledge base and then carries out rule object reasoning, and the reasoning process of the rule object is as follows: 1) When the network normally operates, the system does not need to carry out fault diagnosis, and all the rules are stored in the alarm rule database; 2) When the network operation is abnormal, a network alarm occurs; the alarm information is matched with each rule in the knowledge base, and if the matching is successful, a reasoning function is called to execute the rule; 3) The system writes the alarm into a network log and modifies certain states; 4) Constructing context, and accessing network resource information, alarm information and rule list information in the inference process; 5) Establishing a new rule object according to the updated context, performing query operation on a rule database, and searching a matched rule; 6) And calling the inference function of the new rule object, and repeatedly executing the steps from 3 to 6 until all the matching rules are executed.

10. The power communication device failure determination and detection system of claim 1, wherein: the fault data testing module (5) tests the model by utilizing the modeling data until a satisfactory result is obtained, data mining is to establish the model, the model is applied to process the data, certain requirements are required on the format, the representation form, the dimensionality and the like of the data in the process, and the specific model needs the data matched with the data.