CN110224894B - Intelligent substation process level network monitoring management system - Google Patents
Intelligent substation process level network monitoring management system Download PDFInfo
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- CN110224894B CN110224894B CN201910526565.6A CN201910526565A CN110224894B CN 110224894 B CN110224894 B CN 110224894B CN 201910526565 A CN201910526565 A CN 201910526565A CN 110224894 B CN110224894 B CN 110224894B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0677—Localisation of faults
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
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Abstract
The invention discloses a process level network monitoring and managing system of an intelligent substation, which comprises a monitoring host; the monitoring host generates preset process layer network communication state information through SCD configuration of the intelligent substation, acquires the operation state information of the process layer switch in real time, analyzes and processes the acquired operation state information to obtain actual process layer network communication state information, and compares the actual process layer network communication state information with the preset process layer network communication state information to realize operation state monitoring of the process layer switch. The intelligent substation process level network monitoring management system can complete process level network monitoring management of the intelligent substation quickly and reliably in real time, has complete and reliable monitoring data and high alarm response speed, and ensures the network safety of the intelligent substation; and the mapping relation of the process layer network communication physical link and the virtual connection is graphically displayed, and the visual fault location of the process layer network physical link/the virtual connection is realized.
Description
Technical Field
The invention relates to the technical field of intelligent substations, in particular to a process level network monitoring and management system of an intelligent substation.
Background
The intelligent substation automation system based on the Ethernet communication technology realizes the communication and sharing of information between primary and secondary devices, and meanwhile, multiple functions of the intelligent substation automation system in turn put higher requirements on the real-time performance of the Ethernet communication technology. Compared with a traditional transformer substation, the intelligent transformer substation adopts the optical fiber network to transmit information, so that the industrial Ethernet switch gradually replaces a traditional cable to become key equipment of the communication network of the intelligent transformer substation. The particularity of the structure and the function of the automatic system of the intelligent substation has high requirements and standards for industrial Ethernet switches, so that the monitoring of the network performance of the process layer of the intelligent substation based on the IEC61850 standard and the performance of the industrial Ethernet switches has very important practical significance.
The switch is a key node of the network and is a core device of the network, and the reliability of the switch affects the normal operation of a plurality of single devices connected with the switch. However, the existing switch of the intelligent substation lacks an online monitoring means, cannot timely acquire real-time information such as internal states, interface communication, network flow and the like of the switch, is difficult to find abnormal signs of the switch and the network, and cannot predict when the switch fails to work, so that the system operation safety is affected. The monitoring method of the existing switch mainly takes passivity as a main part, and when a problem occurs, the detailed condition of the problem is searched, so that the inspection is difficult, and the problem has adverse effect on the system when the problem occurs.
The existing process layer network monitoring system generally realizes the monitoring of the process layer network by receiving the abnormal condition of data. When a certain device is abnormal, a plurality of connected devices may send out abnormal link signals, and after an operator sees a large amount of error link information, the operator may be unsuitable and cannot quickly and accurately locate the fault and the abnormality. Meanwhile, most of the existing network monitoring systems cannot support graphic display of a virtual link and a physical link of process layer network communication.
Disclosure of Invention
In order to solve the problems, the invention provides an intelligent substation process layer network monitoring and management system which can effectively and timely know the operation state of a substation switch, so that the performance characteristics and the safety condition of an intelligent substation network can be more timely and accurately mastered, and operation and maintenance personnel can more accurately and early predict potential problems possibly existing in the switch in the use process of the switch and apply an effective solution to prevent the problems in the prior art. The mapping relation between the virtual link and the physical link of the process layer network communication is vividly displayed in a graphic mode, and visual positioning can be carried out after a fault occurs.
The invention is realized by the following technical scheme:
a process level network monitoring and management system of an intelligent substation comprises a monitoring host; the monitoring host generates preset process layer network communication state information through SCD configuration of the intelligent substation, acquires the operation state information of the process layer switch in real time, analyzes and processes the acquired operation state information to obtain actual process layer network communication state information, and compares the actual process layer network communication state information with the preset process layer network communication state information to realize operation state monitoring of the process layer switch.
Preferably, the process layer network communication status information includes: the method comprises the steps of a process layer network communication physical link, a process layer communication virtual connection logic loop, data flow of each port, a port corresponding message address white list and a port corresponding message type.
Preferably, the operation state information of the process layer switch includes: port communication information, system information, internal state information, trap event information, device name, MAC address, switch forwarding table, switch multicast table and acquired information.
Preferably, the monitoring of the operating state of the process-layer switch includes: process layer switch operating state changes, switch operating faults, virtual link faults, physical link faults, network traffic anomalies, and network storms.
Preferably, the system further comprises a network monitoring management data cloud, and the monitoring host uploads various running states of the process layer network to the network monitoring management data cloud for storage and switch optimization configuration.
Preferably, the monitoring host can also perform abnormal alarm and fault location on the running state of the process layer switch.
Preferably, the specific process of implementing switch optimization configuration by the network monitoring management data cloud is as follows:
the network monitoring management data cloud acquires the running state data of the process layer switch in real time and continuously updates the database;
analyzing the switch operation data by using cloud computing and big data algorithm, and storing the switch operation data in a classified manner to form a switch operation database;
and forming an optimized switch configuration database aiming at different running states, respectively giving an optimized switch configuration scheme according to the initial switch design data, giving an optimized processing scheme according to the abnormal type of the switch, and continuously updating the optimized switch configuration database by using an AI (artificial intelligence) neural algorithm.
Preferably, the monitoring host implements a process layer switch state anomaly alarm specific process as follows:
the monitoring host imports the SCD configuration of the intelligent substation and generates preset process layer network communication state information;
the monitoring host acquires the running state information of the process layer switch in real time and analyzes and processes the running state information to obtain the actual process layer network communication state information;
the monitoring host machine compares and analyzes the actual process layer network communication state information with preset process layer network communication state information; if the actual state information does not exceed the preset state information, continuing the operation; otherwise, the monitoring host machine carries out abnormal alarm.
Preferably, the monitoring host informs the maintenance personnel of alarm information of different levels according to the safety level when performing the abnormal alarm.
Preferably, the monitoring host implements the process layer switch state fault location specific process as follows:
the monitoring host imports the SCD configuration of the intelligent substation, and generates preset process layer network communication state information which comprises a process layer physical communication link/virtual connection logic loop topological diagram;
the monitoring host acquires the running state information of the process layer switch in real time and analyzes and processes the running state information to obtain a topological graph of a physical link/virtual connection logical loop of the process layer network;
the monitoring host machine compares and analyzes a preset process layer physical communication link/virtual connection logic loop topological graph with an actual physical link/virtual connection logic loop topological graph; if the two are consistent, continuing the operation; otherwise, the abnormity of the process layer network physical link/virtual connection is shown, and different parts are highlighted, so that the fault location is realized.
The invention has the following advantages and beneficial effects:
1. the intelligent substation process level network monitoring management system can complete process level network monitoring management of the intelligent substation quickly and reliably in real time, has complete and reliable monitoring data and high alarm response speed, and ensures the network safety of the intelligent substation; and the mapping relation of the process layer network communication physical link and the virtual connection is graphically displayed, and the visual fault location of the process layer network physical link/the virtual connection is realized.
2. The invention adopts the cloud computing and big data technology to analyze the switch operation data and the abnormal processing data, predict the switch operation state rule, assist the fault alarm and give an emergency plan, and simultaneously can assist in completing the design optimization, performance improvement, redundancy reduction and configuration simplification of the switch. And the artificial intelligence technology and the AI neural network technology are adopted to actively update the database and continuously optimize the configuration.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a schematic diagram of the system of the present invention.
Fig. 2 is a schematic diagram of an operation state alarm process of the intelligent substation switch.
Fig. 3 is a schematic diagram of the network traffic safety alarm working flow of the present invention.
Fig. 4 is a schematic diagram of a virtual connection/physical link fault location process of an intelligent substation process layer according to the present invention.
Fig. 5 is a schematic diagram of an optimized configuration process of the intelligent substation switch.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
Examples
The embodiment provides an intelligent substation process level network monitoring and management system, which comprises a monitoring host, as shown in fig. 1. The monitoring host and the process layer switch perform data transmission and communication through a Simple Network Management Protocol (SNMP); the process layer switch is connected with the intelligent electronic device.
The monitoring host generates a preset process layer network communication physical link, a virtual connection logic loop, the approximate data flow of each port, a white list of message addresses corresponding to the ports, message types corresponding to the ports and the like through the SCD configuration of the intelligent substation. The monitoring host computer obtains the running state information of the process layer switch through the SNMP protocol, and calculates, analyzes and generates a topological graph of an actual process layer network communication physical link/virtual connection actual communication link, actual port flow, an actual port message address, an actual port message type and the like. The monitoring host compares the actual network communication data with the initial network communication data threshold value, thereby realizing abnormal alarms and fault positioning of the change of the running state of the switch, the running fault of the switch, the fault of the virtual link, the fault of the physical link, the abnormal network flow, the network storm and the like.
In this embodiment, the system further includes a network monitoring management data cloud; and the monitoring host uploads various running states of the process layer network to a network monitoring management data cloud for storage and switch optimization configuration.
In this embodiment, as shown in fig. 2, the process of implementing the abnormal alarm of the switch operating state by the monitoring host specifically includes:
firstly, the monitoring host imports SCD configuration, the normal threshold value of the switch is automatically configured, and the threshold value which is automatically set can be changed manually.
The monitoring host continuously obtains the running state of the switch in the MIB base of the switch through the SNMP protocol. The acquired information includes: port communication information (such as accumulated data of received and sent traffic), system information (such as whether the switch is down or power-off phenomenon can be found according to the power-on time), internal state information (such as information of system time, program version, power state, switch temperature, CPU load rate, fan working state and the like of the switch), trap (namely SNMP trap) event information (such as switch restart, port communication interruption and recovery, switch custom fault abnormal events) and the like.
And the monitoring host machine analyzes and calculates the acquired operation data and compares the operation data with an initial threshold value. The monitoring states obtained after the comparative analysis include: the network performance of the switch, the working state of the power supply, the running condition, whether overload exists, the heat dissipation effect, the temperature range and the like.
Judging whether the initial threshold value is exceeded or not, if not, the monitoring host acquires the running state of the switch again and continues the operation; if the network safety alarm is exceeded, the monitoring host machine carries out network safety alarm. The state alarm information of the switch includes: the method comprises the following steps of restarting a switch (the switch generates a restarting event), monitoring offline by an SNMP (the switch is in SNMP communication interruption and is not monitored by a management host), total abnormal alarm of switch equipment (alarms such as high CPU load rate, high memory utilization rate, high temperature and abnormal power supply), total broken link alarm of port communication (alarm when all normally connected ports are broken), total abnormal alarm of port communication (high port occupancy rate, sudden flow change, no data after connection due to overtime and abnormal port communication), and the number of connected ports of the switch (the number of currently connected ports of the switch, and if equipment is disconnected, the signal changes).
In this embodiment, while performing network security alarm, the monitoring host notifies the maintenance staff of alarm information of different levels according to security levels, and the network monitoring management data cloud provides a processing scheme and a report of event handling of such problems according to the type of network anomaly, as shown in fig. 3, a workflow of network traffic monitoring alarm is provided, which is specifically as follows:
firstly, a monitoring host imports SCD configuration, imports communication bandwidth, message address, message content and correct message characteristic value, and automatically configures network flow under normal working conditions, and the network flow can be manually modified according to requirements.
The monitoring host continuously monitors the flow through the SNMP protocol.
And the monitoring host computer analyzes and calculates the acquired operation data and compares the operation data with the network flow under the normal working condition.
Judging whether the network flow under the normal working condition is exceeded or not, and if not, continuing to monitor the flow by the monitoring host; and if the network safety alarm exceeds the safety level, the monitoring host machine carries out network safety alarm and informs maintenance personnel of alarm information of different levels according to the safety level.
The network security data cloud gives treatment opinions according to the network exception type and a treatment event report of the problems.
The various network exception handling procedures are as follows:
A. flow anomaly
The monitoring host imports SCD configuration, obtains approximate data flow of each port, the system sets a communication flow threshold value, and when the communication flow threshold value is exceeded, the alarm flow is abnormal.
B. Access of illegal messages or illegal devices
The monitoring host imports SCD configuration, acquires a white list of message addresses of each port, the system automatically configures the white list of the message addresses of each port, compares the received message addresses with the message addresses (white list) which are actually required to be received, and alarms illegal messages or access of illegal equipment if the message addresses are not consistent.
The monitoring host imports SCD configuration, acquires message types corresponding to all ports, the system automatically configures the message types of all the ports, the system compares the message types received or sent by all the ports, undefined and unused messages are illegal, and if the condition is found, the illegal messages or the access of illegal equipment is alarmed.
GOOSE/SV message alarm
And the monitoring host analyzes the correctness of the GOOSE and SV messages, checks whether the situations of frame loss, frame disordering, frame skipping, tampering and the like exist, and performs GOOSE/SV message warning if the situations exist.
D. Network virus alerts
And the monitoring host computer performs virus analysis on the content of the MMS message, judges whether the message contains viruses or not, and performs network virus alarm if the message contains the viruses.
In this embodiment, as shown in fig. 4, the specific process of implementing the process-level switch state fault location by the monitoring host is as follows:
and importing the communication bandwidth, the message address, the message content and the correct value of the message characteristic, automatically configuring the correct threshold value under the normal working condition, and manually modifying the threshold value according to the requirement. And obtaining the corresponding relation between the issuing control block and the receiving access point through the IED node description configured by the SCD, thereby generating a virtual connection logic loop topological graph. The device names and the connection port numbers of two ends of the same optical fiber can be obtained through the SCD device and optical fiber relation table, so that the physical connection information of the device and the port thereof is obtained, and a preset process layer network communication physical link topological graph is generated.
The method comprises the steps that the monitoring host obtains operation state information of a process layer switch through an SNMP protocol, and calculates, analyzes and generates a virtual connection actual communication link and an actual process layer network communication physical link topological graph by reading information such as corresponding switch device names, port MAC addresses, destination port MAC addresses, IED device names, switch forwarding tables, switch multicast tables, obtained signal types and obtained signal contents in a switch setting MIB.
The monitoring host machine compares and analyzes a preset process layer physical communication link/virtual connection logic loop topological graph with an actual physical link/virtual connection logic loop topological graph; if the two are consistent, continuing the operation; otherwise, the abnormity of the process layer network physical link/virtual connection is shown, and different parts are highlighted, so that the fault location is realized. And when the missing link occurs, positioning to the missing position, and alarming the network operation state fault. When the redundant link appears, the network is positioned to the redundant link to alarm the illegal access of the network. Redundant virtual connection faults, the monitoring host can locate IED configuration errors, switch configuration errors, IED device communication abnormalities (such as network port breakdown and IED breakdown) and the like.
In this embodiment, as shown in fig. 5, a specific process of implementing switch optimization configuration by the network monitoring management data cloud is as follows:
the network monitoring management data cloud acquires process layer switch running state data in real time and continuously updates a database (comprising a switch running database and an optimized configuration database);
analyzing the switch operation data by using cloud computing and big data algorithm, and storing the switch operation data in a classified manner to form a switch operation database;
and forming an optimized switch configuration database aiming at different running states, respectively giving an optimized switch configuration scheme according to the initial switch design data, giving an optimized processing scheme according to the abnormal type of the switch, and continuously updating the optimized switch configuration database by using an AI (artificial intelligence) neural algorithm.
Specifically, the network monitoring management data cloud acquires and stores various operation conditions such as switch operation data, alarm reasons, fault location data, network security abnormal records, abnormal post-processing measures and the like, and performs analysis and statistics on stored information by using cloud computing and big data technology to form a switch operation database: for example: and forming a fault analysis report aiming at the abnormal reasons, the abnormal properties, the abnormal handling measures, the influences caused by the abnormality and the like, and storing the fault analysis report in a grading way. Classifying and storing the switch operation state (including type, brand, operation environment, operation age, alarm type, processing method and the like), namely forming a switch operation database in which the type, brand, operation environment, operation age, alarm type, processing method and the like are stored; forming a switch optimization configuration database aiming at different operation conditions: when the abnormity occurs, the cloud automatically searches for similar or same faults in the past, gives alarms of different levels according to different threat levels, informs maintenance personnel, and gives auxiliary abnormity processing suggestions, fault analysis reports corresponding to the abnormity and the like, so that intelligent fault maintenance is realized. The cloud end gives a switch model optimization suggestion, a running time limit suggestion and the like according to the running state, and therefore the goals of switch optimization design, performance improvement, redundancy reduction and configuration simplification are achieved. The network monitoring management data cloud has an artificial intelligence algorithm, and the contents of the optimized configuration database are actively updated and continuously optimized and configured by utilizing an AI neural network technology.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (7)
1. A process level network monitoring and management system of an intelligent substation is characterized by comprising a monitoring host; the monitoring host generates preset process layer network communication state information through SCD configuration of the intelligent substation, acquires the operation state information of the process layer switch in real time, analyzes and processes the acquired operation state information in real time to obtain actual process layer network communication state information, and compares the actual process layer network communication state information with the preset process layer network communication state information to realize the operation state monitoring of the process layer switch;
the monitoring of the running state of the process layer switch comprises the following steps: process layer switch running state changes, switch running faults, virtual link faults, physical link faults, network flow anomalies and network storms;
the monitoring host can also perform abnormal alarm and fault location on the running state of the process layer switch;
the monitoring host realizes the specific process of positioning the state fault of the process layer switch as follows:
the monitoring host imports the SCD configuration of the intelligent substation, and generates preset process layer network communication state information which comprises a process layer physical communication link/virtual connection logic loop topological diagram;
the monitoring host acquires the running state information of the process layer switch in real time and analyzes and processes the running state information to obtain a topological graph of a physical link/virtual connection logical loop of the process layer network;
the monitoring host machine compares and analyzes a preset process layer physical communication link/virtual connection logic loop topological graph with an actual physical link/virtual connection logic loop topological graph; if the two are consistent, continuing the operation; otherwise, the abnormity of the process layer network physical link/virtual connection is shown, and different parts are highlighted, so that the fault location is realized.
2. The intelligent substation process level network monitoring and management system of claim 1, wherein the process level network communication status information comprises: the method comprises the steps of a process layer network communication physical link, a process layer communication virtual connection logic loop, data flow of each port, a port corresponding message address white list and a port corresponding message type.
3. The intelligent substation process layer network monitoring and management system of claim 1, wherein the operational state information of the process layer switch comprises: port communication information, system information, internal state information, trap event information, device name, MAC address, switch forwarding table, switch multicast table and acquired information.
4. The intelligent substation process layer network monitoring and management system according to claim 1, further comprising a network monitoring and management data cloud, wherein the monitoring host uploads various states of process layer network operation to the network monitoring and management data cloud for storage and switch optimization configuration.
5. The intelligent substation process level network monitoring management system of claim 4, wherein the specific process of the cloud-based switch optimization configuration of the network monitoring management data is as follows:
the network monitoring management data cloud acquires the running state data of the process layer switch in real time and continuously updates the database;
analyzing the switch operation data by using cloud computing and big data algorithm, and storing the switch operation data in a classified manner to form a switch operation database;
and forming an optimized switch configuration database aiming at different running states, respectively giving an optimized switch configuration scheme according to the initial switch design data, giving an optimized processing scheme according to the abnormal type of the switch, and continuously updating the optimized switch configuration database by using an AI (artificial intelligence) neural algorithm.
6. The intelligent substation process level network monitoring and management system of claim 1, wherein the monitoring host implements the process level switch state anomaly alarm specific process as follows:
the monitoring host imports the SCD configuration of the intelligent substation and generates preset process layer network communication state information;
the monitoring host acquires the running state information of the process layer switch in real time and analyzes and processes the running state information to obtain the actual process layer network communication state information;
the monitoring host machine compares and analyzes the actual process layer network communication state information with preset process layer network communication state information; if the actual state information does not exceed the preset state information, continuing the operation; otherwise, the monitoring host machine carries out abnormal alarm.
7. The intelligent substation process layer network monitoring and management system of claim 6, wherein the monitoring host further notifies maintenance personnel of different levels of alarm information according to security levels when an abnormal alarm is given.
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