CN115313649A - Intelligent substation process level network broken link fault analysis device - Google Patents
Intelligent substation process level network broken link fault analysis device Download PDFInfo
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- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H1/00—Details of emergency protective circuit arrangements
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00016—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using a wired telecommunication network or a data transmission bus
- H02J13/00017—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using a wired telecommunication network or a data transmission bus using optical fiber
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Abstract
The invention relates to the technical field of network broken link fault positioning, and discloses a process layer network broken link fault analysis device of an intelligent substation, which comprises a dynamic monitoring module, a static analysis module and an early warning display module, wherein the dynamic monitoring module is used for detecting whether the operation state of a process layer network port is abnormal or not in real time at an equipment node interface end, the static analysis module is used for receiving information at a receiving end and analyzing the process layer network fault reason and positioning a fault point coordinate according to the information, the early warning display module is used for displaying a fault analysis result, predicting the probability of next fault occurrence on the basis of static analysis and reminding and displaying the coordinate position of the next fault point occurrence, and a point-chain network distribution diagram model is constructed by monitoring the operation state of the process layer network interface end so as to effectively shorten the time of manual fault troubleshooting by utilizing historical fault data and online real-time data contrast analysis and directly and effectively improve the fault processing efficiency.
Description
Technical Field
The invention relates to the technical field of network broken link fault positioning, in particular to a process layer network broken link fault analysis device for an intelligent substation.
Background
The intelligent substation is a substation which adopts advanced, reliable, integrated, low-carbon and environment-friendly intelligent equipment, automatically completes basic functions of information acquisition, measurement, control, protection, metering, monitoring and the like by taking total-station information digitization, communication platform networking and information sharing standardization as basic requirements, and can support advanced functions of real-time automatic control, intelligent regulation, online analysis decision-making, cooperative interaction and the like of a power grid according to requirements, in recent years, the research and construction of the intelligent substation in China has made great progress, the intelligent substation is an intelligent node of the intelligent power grid, is in a basic position in the research and implementation of the intelligent power grid, has completed construction test points of hundreds of intelligent substations all over the country, and faults and problems of the intelligent substation generally occur at the process level of the intelligent substation from the operating intelligent substations which are put into operation at present, the process layer network is a network for connecting process layer equipment and bay layer equipment, generally an optical fiber network, the connection of the digital equipment of the intelligent substation at the process layer is digital network information interaction formed by building a GOOSE network and an SV network, once the intelligent substation has GOOSE chain breakage and SV chain breakage alarm, technicians with abundant experience can quickly judge fault points, but common technicians have no trouble in finding faults and currently adopt direct capturing of process layer messages for manual analysis when SV or GOOSE link interruption occurs, because SV and GOOSE message flow is huge, the investigation of a large number of messages is finished manually, the efficiency is extremely low, the accuracy cannot be ensured, particularly for certain accidental or irregular faults, manual capturing of fault information is more difficult, and therefore, in order to ensure that the process layer of the intelligent substation can operate safely and reliably, the research on the analysis of the network link-breaking fault of the process level of the transformer substation is very necessary and urgent.
In the prior art, the existence of faults and abnormity is mainly analyzed based on a network message analyzer, but the occurrence reason and the occurrence position of the faults and the abnormity cannot be analyzed. It can be seen that the functions of the current network message analyzer are limited to alarm for abnormalities and faults in the network, but the final troubleshooting and reason analysis of the faults are completed by operators. However, the data volume displayed by the system is huge and mixed, especially when a serious fault such as information transmission interruption caused by equipment port or link fault occurs, a large amount of burst alarm information displayed by the system can cause operators to have no trouble, so that the fault diagnosis and analysis process excessively depends on field experience of manufacturers and operators, and great challenge is brought to safe and reliable operation of a secondary system of the intelligent substation.
Disclosure of Invention
The invention aims to provide an intelligent substation process layer network broken link fault analysis device, which can effectively screen out effective information of a substation network broken link fault by constructing a point-chain network distribution diagram model through judging the operation state of a process layer network interface by a monitoring equipment node end and utilizing historical fault data and online real-time data to compare and analyze, can effectively shorten the time of manually troubleshooting the fault, and can directly and effectively improve the fault processing efficiency by carrying out statistical coding on the occurred fault reason and the fault point and extracting the fault node address according to the effective coding information to position the fault point, thereby effectively solving the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
the utility model provides an intelligent substation process level network broken link fault analysis device, includes dynamic monitoring module, static analysis module, early warning display module, whether dynamic monitoring module is used for in equipment node interface end real-time detection process level network port running state is in unusually, static analysis module is used for receiving information and does analysis processes with this analysis process level network fault reason and location fault point coordinate at the receiving terminal to data information, early warning display module is used for showing the fault analysis result and is in the probability of next fault occurrence is predicated and the coordinate position that shows next fault point and take place is reminded on the analysis basis of static analysis module.
As a still further scheme of the invention: the dynamic monitoring module comprises a controller, an optical power meter, a temperature sensor and a voltage sensor, wherein the controller is used for controlling operation scheduling and data acquisition work of other monitoring equipment and numbering monitoring points of each node equipment to transmit detection data of each monitoring point to the static analysis module, the optical power meter is used for monitoring the stability of the optical power value of the optical fiber network chain in communication transmission of the characterization optical fiber network chain, the temperature sensor is used for detecting the operation temperature of the equipment and preventing the equipment from being damaged due to overload operation caused by overhigh operation temperature in the operation process of the equipment, and the voltage sensor is used for monitoring the operation voltage value of the node equipment in real time and judging the stability of input/output current of an equipment interface by measuring the voltage value.
As a still further scheme of the invention: the static analysis module locates the fault point of the process layer network based on a 'point-chain' hierarchical location model, including 'point' location, 'chain' location and model analysis, the 'point' location is based on the node equipment monitoring data of the dynamic monitoring module and combined with historical fault occurrence data to screen out the node number of the abnormal operation equipment, firstly the 'point' location can extract the optical power value in the controller, if the detected optical power value is lower than a threshold value, the fault point exists in the optical fiber network, the node equipment numbers are 1,2,3, … …, n, the node equipment related to the fault point of the optical fiber network can be rapidly found out based on the equipment node number, then the equipment operation temperature and the operation voltage in the controller are further extracted to screen the node equipment, and if the extracted data has overlarge difference with the last transmission data and the same data trend exists compared with the historical fault trend data, the node equipment is indicated to be the fault node equipment.
As a still further scheme of the invention: because the node devices are communicated with each other, a certain node device has a plurality of optical fiber links, on the basis of determining the fault node device, the chain positioning is used for positioning the coordinates of the fault optical fiber link, SV and GOOSE fault messages are screened and analyzed by receiving SV and GOOSE data of a process layer, abnormal data are extracted for positioning the fault optical fiber link, wherein the number of the optical fiber link is recorded as L n1 ，L n2 ，L n3 ，……，L nm N is the node equipment number, if the link fails, the interconnection between the sending end and the receiving end is involved, therefore, the related node equipment is subjected to correlation analysis while SV and GOOSE fault messages are screened and analyzed, if the two fault node equipment have correlation, the fault occurs on the optical fibers of the ports of the two node equipment, and the fault optical fiber network link positioning coordinate can be obtained based on the correlation.
As a still further scheme of the invention: the method comprises the steps that on the basis that an intelligent substation process layer network is in a dynamic operation state and each link is in a different load operation state, model analysis is set for constructing a process layer optical fiber network link distribution model, a connection relation led in between nodes on the basis of node equipment distribution points determines the load margin of the link according to dynamic change data in a dynamic monitoring module, a network link operation threshold value is set on the basis of the transmission distance between node equipment, real-time monitoring data is compared with the set threshold value to determine the network link operation margin, open circuit protection can be timely carried out on the network link according to the margin, the network link can be timely regulated and repaired, and regional network collapse caused by operation faults of a certain link is prevented.
As a still further scheme of the invention: the early warning display module is used for displaying the fault positioning result of the static analysis module and predicting the operation fault probability of other links, and comprises a display, probability prediction and fault point prediction.
As a still further scheme of the invention: the display is used for visualizing a fault analysis result and a prediction result and respectively displaying an alarm point and an early warning point, the result visualization has a guiding effect on fault maintenance to a certain extent so as to avoid increasing maintenance time due to unfamiliarity of maintenance personnel with a route, the probability prediction is used for carrying out fault probability prediction on the existing network link fault on the basis of a network link model in model analysis, the complex interaction relationship exists among network links so that other links are seriously influenced when the network links are in fault, correlation analysis is carried out on the fault links and other links by using the logic relationship among the network links, the higher the correlation is, the higher the probability of the link fault is, the probability prediction is divided into different probability levels according to the correlation, the link with higher probability of fault occurrence has a priority protection level, namely, the link without fault can be preferentially protected, the distance transmission of the optical fiber links is different, the probability of the fault occurrence on the link is still different, the fault point prediction is used for predicting the fault probability of the network link of the fault point of the network link, the inflection point is mainly used for predicting the emergency repair of a receiving end, the inflection point is arranged according to the optical fiber transmission timing device, the change of the optical fiber transmission line, and the change of the optical fiber transmission line is easily detected, and the change of the fault occurrence rate of the optical fiber transmission is detected.
As a further scheme of the present invention, an intelligent substation process level network broken link fault analysis device includes the following analysis processes:
step 1: the system comprises a controller, an optical power meter, a temperature sensor and a voltage sensor, wherein the controller, the optical power meter, the temperature sensor and the voltage sensor are arranged on each node device respectively, the controller is used for controlling operation scheduling and data acquisition work of other monitoring devices and numbering each node device monitoring point to transmit detection data of each monitoring point to a static analysis module, the optical power meter is used for monitoring an optical power value of an optical fiber network chain so as to represent the stability of communication transmission of the optical fiber network chain, the temperature sensor is used for detecting the operation temperature of the device, the device damage caused by overload operation of the device due to overhigh operation temperature in the operation process of the device is prevented, the voltage sensor is used for monitoring the operation voltage value of the node device in real time, and the stability of input/output current of the device interface can be judged by measuring the voltage value.
Step 2: and after the arrangement of the monitoring equipment in the dynamic monitoring module is finished, building a process layer network model by integrating node-network link arrangement parameters, firstly, importing an SCD (substation configuration description) file for analyzing SV and GOOSE fault messages, secondly, importing a connection relation between nodes by taking a node equipment distribution point as a basis, building a process layer optical fiber network link distribution model according to the transmission distance between the node equipment and the basic parameters of the node equipment, and alarming the position of a network link fault.
The step 2 further comprises:
step 2-1: the node equipment monitoring data of the dynamic monitoring module is combined with historical fault occurrence data to screen out abnormal operation equipment node numbers to carry out 'point' positioning on a fault occurrence area, firstly, the 'point' positioning can extract an optical power value in the controller, if the detected optical power value is lower than a threshold value, the fault point exists in the optical fiber network, the node equipment numbers are recorded as 1,2,3, … …, n, the node equipment related to the fault point of the optical fiber network can be rapidly found out based on the equipment node numbers, then, the equipment operation temperature and the operation voltage in the controller are further extracted to screen the node equipment, and if the extracted data is too large in difference with the last transmission data and has the same data trend compared with the historical fault data, the node equipment is judged to be fault node equipment;
step 2-2: performing 'chain' positioning on a fault occurrence area on the basis of determining fault node equipment, receiving SV and GOOSE data at a process layer, screening and analyzing SV and GOOSE fault messages, extracting abnormal data and performing fault optical fiber link positioning, wherein the serial number of an optical fiber link is recorded as L n1 ，L n2 ，L n3 ，……，L nm N is the node equipment number, if the link fails, the interconnection between the sending end and the receiving end is involved, therefore, the related node equipment is subjected to correlation analysis while SV and GOOSE fault messages are screened and analyzed, if the two fault node equipment have correlation, the fault occurs on the optical fibers of the ports of the two node equipment, and the fault optical fiber network link positioning coordinate can be obtained based on the correlation.
And 3, step 3: the method comprises the steps of predicting the operation fault probability of other links while performing fault analysis and positioning on a fault occurrence area, predicting the probability of next fault occurrence on the basis of analysis of a static analysis module, and performing early warning treatment on the coordinate position of the next fault point.
The step 3 further comprises:
step 3-1: on the basis of a process layer optical fiber network link distribution model, determining the load margin of a link according to dynamic change data in a dynamic monitoring module, setting a network link operation threshold value based on the transmission distance between node devices, comparing real-time monitoring data with the set threshold value to determine the network link operation margin, carrying out open circuit protection on the network link in time according to the margin, and carrying out regulation and repair on the network link in time to prevent regional network collapse caused by the operation fault of a certain link;
step 3-2: the method comprises the steps that fault probability prediction is carried out on the existing network link faults on the basis of a network link model, complex interaction relations exist among network links, so that the other links are influenced seriously when the network links are in fault, correlation analysis is carried out on the fault links and the other links by using the logic relations among the network links, the higher the correlation is, the higher the probability that the links are in fault is, the probability prediction is divided into different probability levels according to the correlation size, the links with higher fault probability occurrence probability have priority protection levels, and namely, the links without fault can be protected and repaired preferentially;
step 3-2: the method is characterized in that the fault point prediction is used for predicting the fault point occurrence probability of the network link due to different optical fiber link distance transmission, a timing device is mainly arranged on an interface of a transmitting end and a receiving end, the state change of an optical fiber line is judged according to the time change of received data and the change fluctuation of the optical power of the link measured by an optical power meter, and an inflection point detection device is arranged on the optical fiber line with a transport inflection point, wherein the inflection point detection device is mainly used for easily influencing the transmission signal rate due to the bending of a transmission line, and the fault of the optical fiber transmission blockage can be seriously caused.
And 4, step 4: the display visualizes a fault analysis result and a prediction result, and respectively displays the alarm point and the early warning point, and the visualization of the result has a guiding function on fault maintenance to a certain extent, so that the increase of maintenance time caused by the unfamiliarity of maintenance personnel to a route is avoided.
Compared with the prior art, the invention has the beneficial effects that:
the monitoring equipment node side judges the operation state of a process layer network interface, so that a 'point-chain' network distribution graph model is constructed, effective information of the substation network broken chain fault can be effectively screened out by utilizing historical fault data and online real-time data to compare and analyze, the time for manually checking the fault can be effectively shortened, the fault reason and the fault point which occur are subjected to statistical coding, and the fault node address is extracted according to the effective coding information to position the fault point, so that the fault processing efficiency can be directly and effectively improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described 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.
Fig. 1 is a schematic structural diagram of an intelligent substation process level network broken link fault analysis device.
In the figure: 1. a dynamic monitoring module; 2. a static analysis module; 3. an early warning display module; 11. a controller; 12. an optical power meter; 13. a temperature sensor; 14. a voltage sensor; 21. positioning points; 22. "chain" positioning; 23. analyzing the model; 31. a display; 32. predicting the probability; 33. and predicting a fault point.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in 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.
The embodiment is as follows:
referring to fig. 1, in an embodiment of the present invention, an intelligent substation process layer network broken link fault analysis device includes a dynamic monitoring module (1), a static analysis module (2), and an early warning displayThe dynamic monitoring module (1) is used for detecting whether the running state of a process layer network port is abnormal or not at an equipment node interface end in real time, and comprises a controller (11), an optical power meter (12), a temperature sensor (13) and a voltage sensor (14), wherein the controller (11) is used for controlling the running scheduling and data acquisition work of other monitoring equipment and numbering each node equipment monitoring point to transmit the detection data of each monitoring point to a static analysis module (2), the optical power meter (12) is used for monitoring the optical power value of an optical fiber network chain so as to represent the stability of communication transmission of the optical fiber network chain, the temperature sensor (13) is used for detecting the running temperature of the equipment, the damage of the equipment caused by overload running of the equipment due to overhigh running temperature in the running process of the equipment is prevented, the voltage sensor (14) is used for screening out real-time monitoring the running voltage value of the node equipment, the stability of the input/output current of the equipment interface can be judged by measuring the voltage value, the static analysis module (2) is used for receiving information at a receiving end and analyzing and processing the data information so as to analyze the fault reason of the process layer network and locate the fault point coordinates, the fault location module (21) comprises a node equipment locating module (21) which is combined with the occurrence of the fault point and a fault analysis module (21) which is combined with the dynamic monitoring data of the occurrence of the process layer network interface node equipment, firstly, point positioning (21) extracts an optical power value in a controller (11), if the detected optical power value is lower than a threshold value, a fault point exists in an optical fiber network, the node equipment numbers are 1,2,3, … … and n, node equipment related to the fault point of the optical fiber network can be quickly found out based on the equipment node numbers, then equipment operation temperature and operation voltage in the controller (11) are further extracted to screen the node equipment, if the extracted data has overlarge difference with the last transmission data and has the same data trend with the historical fault data, the node equipment is the fault node equipment, a plurality of optical fiber links exist in certain node equipment due to the mutual communication among the node equipment, and on the basis of determining the fault node equipment, chain positioning (chain positioning)22 Coordinates for positioning the failed optical fiber link, receiving SV and GOOSE data at a process layer, screening and analyzing SV and GOOSE failure messages, extracting abnormal data and positioning the failed optical fiber link, wherein the serial number of the optical fiber link is recorded as L n1 ，L n2 ，L n3 ，……，L nm N is a node device number, if a link fails, the link relates to the interconnection between a sending end and a receiving end, SV and GOOSE fault messages are screened and analyzed, meanwhile, correlation analysis is carried out on the related node devices, if the two fault node devices have correlation, the fault occurs on optical fibers of ports of the two node devices, a fault optical fiber network chain positioning coordinate can be obtained based on the correlation, a process layer network of the intelligent substation is in a dynamic running state and each link is in a different load running state, model analysis (23) is arranged for constructing a process layer optical fiber network chain distribution model, the connection relation led into each node based on a node device distribution point determines the load margin of the link according to dynamic change data in a dynamic monitoring module (1), and a network chain running threshold value is set based on the transmission distance between the node devices, the real-time monitoring data is compared with a set threshold value to determine the operation margin of a network link, the network link can be subjected to open circuit protection in time and can be regulated and repaired in time according to the margin, regional network crash caused by the operation fault of a certain link is prevented, an early warning display module (3) is used for displaying a fault analysis result, predicting the probability of next fault occurrence on the basis of the analysis of a static analysis module (2) and reminding to display the coordinate position of next fault occurrence, the early warning display module comprises a display (31), a probability prediction (32) and a fault point prediction (33), the display (31) is used for visualizing the fault analysis result and the prediction result and respectively displaying an alarm point and an early warning point, the result visualization has a guiding effect on the fault maintenance to a certain degree and avoids the increase of maintenance time caused by the unfamiliarity of maintenance personnel to a route, probability prediction (32) performs failure probability prediction on the existing network link failure on the basis of the network link model in the model analysis (23), and because complex interaction relationship exists among network links, other links have the failure when the network links failThe method comprises the steps of utilizing a logic relationship among network chains to carry out correlation analysis on a fault link and other links, enabling the link to have higher fault probability as the correlation is higher, dividing probability prediction (32) into different probability levels according to the correlation, enabling the link with higher fault probability to have priority protection level, namely, enabling other links which do not have faults to be subjected to priority protection first-aid repair, setting fault point prediction (33) for predicting the fault point probability of the network links as the distance transmission of the optical fiber links is different and the fault probability on the links is still different, mainly arranging a timing device through an interface of a sending end and a receiving end, judging the state change of the optical fiber line according to the time change of received data and the fluctuation of the optical power of the link measured by an optical power meter (12), and arranging an inflection point detection device on the optical fiber line with a transport inflection point, wherein the inflection point detection device mainly bending of the transmission line is easy to influence on the transmission signal rate, so that the fault rate is caused by the blockage of the optical fiber transmission
The invention also provides an analysis process of the intelligent substation process level network broken link fault analysis device, which comprises the following specific steps:
step 1: the method comprises the steps of firstly monitoring operation data of a process layer network link interface in real time, respectively arranging a controller, an optical power meter, a temperature sensor and a voltage sensor on each node device, wherein the controller is used for controlling operation scheduling and data acquisition work of other monitoring devices and numbering monitoring points of each node device to transmit detection data of each monitoring point to a static analysis module, the optical power meter is used for monitoring an optical power value of an optical fiber network chain so as to represent the stability of communication transmission of the optical fiber network chain, the temperature sensor is used for detecting the operation temperature of the device and preventing the device from being damaged due to overload operation caused by overhigh operation temperature in the operation process of the device, and the voltage sensor is used for monitoring the operation voltage value of the node device in real time and can judge the stability of input/output current of the device interface by measuring the voltage value.
And 2, step: after the arrangement of the monitoring devices in the dynamic monitoring module is finished, a process layer network model is built by integrating node-network link arrangement parameters, an SCD (substation configuration description) file is firstly imported to analyze SV and GOOSE fault messages, and then a process layer optical fiber network link distribution model is built according to the transmission distance between node devices and the basic parameters of the node devices by taking the node device distribution points as the basis and importing the connection relation between nodes, so that the positions of network links with faults are subjected to alarm processing.
The step 2 further comprises:
step 2-1: the node equipment monitoring data of the dynamic monitoring module is combined with historical fault occurrence data to screen out abnormal operation equipment node numbers to carry out 'point' positioning on a fault occurrence area, firstly, the 'point' positioning can extract an optical power value in the controller, if the detected optical power value is lower than a threshold value, the fault point exists in the optical fiber network, the node equipment numbers are recorded as 1,2,3, … …, n, the node equipment related to the fault point of the optical fiber network can be rapidly found out based on the equipment node numbers, then, the equipment operation temperature and the operation voltage in the controller are further extracted to screen the node equipment, and if the extracted data is too large in difference with the last transmission data and has the same data trend compared with the historical fault data, the node equipment is judged to be fault node equipment;
step 2-2: performing 'chain' positioning on a fault occurrence area on the basis of determining fault node equipment, receiving SV and GOOSE data at a process layer, screening and analyzing SV and GOOSE fault messages, extracting abnormal data and performing fault optical fiber link positioning, wherein the serial number of an optical fiber link is recorded as L n1 ，L n2 ，L n3 ，……，L nm N is the node equipment number, if the link fails, the interconnection between the sending end and the receiving end is involved, therefore, the related node equipment is subjected to correlation analysis while SV and GOOSE fault messages are screened and analyzed, if the two fault node equipment have correlation, the fault occurs on the optical fibers of the ports of the two node equipment, and the fault optical fiber network link positioning coordinate can be obtained based on the correlation.
And step 3: the method comprises the steps of predicting the operation fault probability of other links while performing fault analysis and positioning on a fault occurrence area, predicting the probability of next fault occurrence on the basis of analysis of a static analysis module, and performing early warning treatment on the coordinate position of the next fault point.
The step 3 further comprises:
step 3-1: on the basis of a process layer optical fiber network link distribution model, determining the load margin of a link according to dynamic change data in a dynamic monitoring module, setting a network link operation threshold value based on the transmission distance between node devices, comparing real-time monitoring data with the set threshold value to determine the network link operation margin, performing open circuit protection on the network link in time according to the margin, and performing regulation and repair on the network link in time to prevent regional network collapse caused by operation failure of a certain link;
step 3-2: the method comprises the steps that fault probability prediction is carried out on the existing network link faults on the basis of a network link model, complex interaction relations exist among network links, so that the important influence is brought to other links when the network links are in fault, correlation analysis is carried out on the fault links and other links by using the logic relations among the network links, the higher the correlation is, the higher the probability that the links are in fault is, the probability prediction is divided into different probability levels according to the correlation size, the links with higher probability of fault occurrence have priority protection levels, and namely, the priority protection rush repair can be carried out on other links which are not in fault;
step 3-2: the method is characterized in that the fault point prediction is used for predicting the fault point occurrence probability of the network link due to different optical fiber link distance transmission, a timing device is mainly arranged on an interface of a transmitting end and a receiving end, the state change of an optical fiber line is judged according to the time change of received data and the change fluctuation of the optical power of the link measured by an optical power meter, and an inflection point detection device is arranged on the optical fiber line with a transport inflection point, wherein the inflection point detection device is mainly used for easily influencing the transmission signal rate due to the bending of a transmission line, and the fault of the optical fiber transmission blockage can be seriously caused.
And 4, step 4: the display visualizes the fault analysis result and the prediction result, and respectively displays the alarm point and the early warning point, so that the result visualization has a guiding effect on the fault maintenance to a certain extent, and the increase of maintenance time due to the unfamiliarity of maintenance personnel on the route is avoided.
The working principle of the invention is as follows: the monitoring equipment node side judges the running state of a process layer network interface, so that a 'point-chain' network distribution diagram model is constructed, effective information of substation network broken link faults can be effectively screened out by utilizing historical fault data and online real-time data through comparative analysis, the time for manually checking the faults can be effectively shortened, the fault reasons and the fault points are subjected to statistical coding, fault node addresses are extracted according to the effective coding information, and the fault point positioning efficiency can be directly and effectively improved.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention are equivalent to or changed within the technical scope of the present invention.
Claims (7)
1. The utility model provides an intelligent substation process level network broken link fault analysis device, its characterized in that, including dynamic monitoring module (1), static analysis module (2), early warning display module (3), dynamic monitoring module (1) is used for whether in equipment node interface end real-time detection process level network port running state is in unusually, static analysis module (2) are used for receiving information and do analysis processes with this analysis process level network fault reason and location fault point coordinate at the receiving terminal to data information, early warning display module (3) are used for showing the fault analysis result and are in the probability of predicting next fault occurrence on the analysis basis of static analysis module (2) and remind the coordinate position that shows next fault point and take place.
2. The intelligent substation process layer network broken link fault analysis device according to claim 1, wherein the dynamic monitoring module (1) comprises a controller (11), an optical power meter (12), a temperature sensor (13) and a voltage sensor (14), the controller (11) is used for controlling operation scheduling and data acquisition work of other monitoring devices and numbering monitoring points of each node device to transmit detection data of each monitoring point to the static analysis module (2), the optical power meter (12) is used for monitoring an optical power value of an optical fiber network chain so as to represent stability of communication transmission of the optical fiber network chain, the temperature sensor (13) is used for detecting operation temperature of equipment, and preventing the equipment from being damaged due to overload operation caused by overhigh operation temperature in the operation process of the equipment, the voltage sensor (14) is used for monitoring operation voltage values of the node devices in real time, and input/output current stability of an equipment interface can be judged by measuring the voltage values.
3. The intelligent substation process layer network broken link fault analysis device according to claim 1, wherein the static analysis module (2) locates a fault point of a process layer network based on a "point-chain" hierarchical positioning model, and the fault point comprises a "point" positioning (21), a "chain" positioning (22) and a model analysis (23), the "point" positioning (21) can screen out an abnormal operation equipment node number based on node equipment monitoring data of the dynamic monitoring module (1) in combination with historical fault occurrence data, firstly the "point" positioning (21) extracts an optical power value in the controller (11), if the detected optical power value is lower than a threshold value, a fault point exists in an optical fiber network, the node equipment numbers are 1,2,3, … …, n, node equipment related to the fault point of the optical fiber network can be rapidly found out based on the equipment node numbers, then equipment operation temperature and operation voltage in the controller (11) are further extracted to screen the node equipment, and if the extracted data is larger than the last transmission data and the fault data trend is the same as the fault node equipment trend screening of the historical node equipment.
4. The intelligent substation process layer network broken link fault analysis device of claim 3, characterized in that because nodeThe interconnection among the equipments causes a certain node equipment to have a plurality of optical fiber links, on the basis of determining the fault node equipment, the chain positioning (22) is used for positioning the coordinates of the fault optical fiber link, SV and GOOSE fault messages are screened and analyzed by receiving SV and GOOSE data of a process layer, abnormal data are extracted for positioning the fault optical fiber link, wherein the serial number of the optical fiber link is recorded as L n1 ，L n2 ，L n3 ，……，L nm N is the node equipment number, if the link fails, the interconnection between the sending end and the receiving end is involved, therefore, the related node equipment is subjected to correlation analysis while SV and GOOSE fault messages are screened and analyzed, if the two fault node equipment have correlation, the fault occurs on the optical fibers of the ports of the two node equipment, and the fault optical fiber network link positioning coordinate can be obtained based on the correlation.
5. The intelligent substation process level network link breaking fault analysis device according to claim 3, wherein the model analysis (23) is configured to construct a process level optical fiber network link distribution model based on that the process level network of the intelligent substation is in a dynamic operation state and each link is in a different load operation state, determine a load margin of the link according to dynamic change data in the dynamic monitoring module (1) by introducing a connection relation between nodes based on a node device distribution point, set a network link operation threshold value based on a transmission distance between node devices, compare real-time monitoring data with the set threshold value to determine a network link operation margin, perform circuit breaking protection on the network link in time according to the margin, and perform regulation and repair on the network link in time to prevent regional network breakdown due to an operation fault of a certain link.
6. The intelligent substation process layer network broken link fault analysis device according to claim 1, wherein the early warning display module (3) is configured to display the fault location result of the static analysis module (2) and predict the operation fault probability of other links, and comprises a display (31), a probability prediction (32) and a fault point prediction (33).
7. The intelligent substation process layer network broken link fault analysis device according to claim 6, wherein the display (31) is used for visualizing the fault analysis result and the prediction result, and respectively displaying the alarm point and the early warning point, the result visualization has a guiding effect on the fault maintenance to a certain extent so as to avoid the increase of maintenance time due to unfamiliarity of maintenance personnel with the route, the probability prediction (32) is used for predicting the fault probability of the existing network link fault on the basis of the network link model in the model analysis (23), because the complex interaction relationship exists among the network links, the probability of the fault probability of other links is greatly influenced when the network links are in fault, the logic relationship among the network links is used for carrying out correlation analysis on the fault link and other links, the higher the correlation is, the higher the probability of the fault probability of the link is higher, the probability prediction (32) is divided into different probability levels according to the size of the correlation, the link with higher probability of failure occurrence has priority protection level, namely, the link without failure can be subjected to priority protection rush repair, because the distance transmission of the optical fiber link is different, the probability of failure occurrence on the link is still different, the failure point prediction (33) is arranged for predicting the failure point occurrence probability of the network link, a timing device is mainly arranged through an interface of a transmitting end and a receiving end, the state change of the optical fiber line is judged according to the time change of received data and the fluctuation of the optical power change of the link measured by the optical power meter (12), and an inflection point detection device is arranged on the optical fiber line with the inflection point, wherein the inflection point detection device is mainly used for the bending of the transmission line and easily influencing the transmission signal rate, the optical fiber transmission blockage can be seriously caused to be in failure.
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