CN102546243A - Fault simulation analysis method for SP Guru-based electric power dispatching data network - Google Patents
Fault simulation analysis method for SP Guru-based electric power dispatching data network Download PDFInfo
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Abstract
The invention discloses a fault simulation analysis method for an SP Guru-based electric power dispatching data network. The method comprises the following steps of: (1) establishing a network model of the electric power dispatching data network through an SP Guru platform according to configuration information; (2) establishing a traffic model of the electric power dispatching data network through the SP Guru platform according to traffic data; (3) carrying out network fault simulation based on a dispatching data network simulation model formed by the network model and the traffic model; (4) obtaining service quality and performance of the dispatching data network under a fault condition according to the fault type of the network fault simulation and the traffic data of the traffic model when the simulation network fault happens; (5) comparing configuration information of a network device after an actual network fault happens with configuration information of the network device in normal operation before the simulation network fault happens, so as to position and analyze the network device having the fault. The method can realize simulation analysis to the network fault of the dispatching data network.
Description
Technical field
The present invention relates to power dispatch data network emulation field, specifically be meant power dispatch data network fault simulation analytical method based on SP Guru.
Background technology
Power dispatch data network (being called for short the data dispatching net) refers to power scheduling wide area IP data network, does not comprise the electrical production private dialup network.The data dispatching network is divided into real-time VPN (RT-VPN) and non real-time VPN (NRT-VPN) altogether.RT-VPN carries dispatching automation, relaying protection management, the download of generating curve, AVC, guarantor's letter etc. and has control command, and to real-time performance and the high business of bandwidth requirement.NRT-VPN carries non-real-time services such as electrical energy metering, failure wave-recording, DTS.Guarantee the safe, stable and reliable of these networks, most important for the production run of electrical network.And at present for the operation maintenance of data dispatching net, performance and disaster degree that various possible network failure in the clear in advance grasp network of need and diverse network fault are netted for dispatching data just are beneficial to maintenance often at ordinary times.But in O&M, there is not effective power dispatch data network fault simulation analytical method as yet in power dispatch data network.
In addition, SP Guru is an intelligent network management platform, and it provides the ability of understanding OSI the 2/3rd layer protocol model in depth for the service provider, comprises router, switch, agreement, server and data flow etc.The intelligence simulation technology of SP Guru provides the supplementary means of the multiple decision support that comprises fault eliminating, operation demonstration, the network planning and engineering construction for service provider network.The service provider can utilize SPGuru to realize that it distributes widely, the intelligent management of networks many technology and many equipment suppliers; From such as network architecture and the so strategic decision behavior of overall planning, until comprise the network operation administration behaviour etc. of fault eliminating, configuration verification and traffic engineering etc.
Summary of the invention
The object of the present invention is to provide a kind of power dispatch data network fault simulation analytical method based on SP Guru, but the diverse network communication service of operation simulation data network, and the simulation analysis of network failure is netted in realization for dispatching data.
The object of the invention is realized through following technical scheme: a kind of power dispatch data network fault simulation analytical method based on SP Guru, this method comprises the steps:
(1) obtains all-network configuration of devices information in the power dispatch data network, set up the network model of power dispatch data network through SP Guru platform according to the configuration information that is obtained; Said configure packet includes network device node information and network link information; Said network model comprises the nodal analysis method and the link model of all-network equipment in the data dispatching net;
(2) obtain the data on flows of power dispatch data network, set up the discharge model of power dispatch data network through SP Guru platform according to said data on flows;
(3) based on the data dispatching network simulation model of said network model and discharge model formation, network equipment node in this simulation model or/and the network link implementation mistake disposes or inefficacy is set, is carried out network failure emulation;
(4) data on flows of discharge model according to the fault type of artificial network fault and when the artificial network fault takes place obtains taking place the network quality-of-service parameters and the performance parameter of the power dispatch data network simulation model under this artificial network fault condition;
(5) when data dispatching net generation live network fault; Configuration information when the configuration information that the network equipment after the live network fault takes place is normally moved with the network equipment that takes place to obtain through described data dispatching network simulation model before the live network fault compares, and positioning analysis has the network equipment that the live network fault takes place.
In the step according to the invention (1),, be used for obtaining power dispatch data network all-network configuration of devices information through access network device information collecting server in power dispatch data network.
In the step according to the invention (2), dispose flow collection equipment, obtain the data on flows of power dispatch data network in a period of time through the Port Mirroring of each key node through the key node in power dispatch data network.
Network failure emulation according to the invention comprises at least with the next item down:
(a) single node fault simulation disposes or is provided with node failure to single network device node implementation mistake in the simulation model;
(b) multinode fault simulation disposes or is provided with node failure at least two network equipment node implementation mistakes in the simulation model;
(c) inefficacy is disposed or be set to single link failure emulation to wall scroll network link implementation mistake in the simulation model;
(d) inefficacy is disposed or be set to multilink fault emulation at least two network link implementation mistakes in the simulation model.
Compared with prior art, technology of the present invention has the following advantages:
The present invention has set up the simulation model of power dispatch data network; This model can be simulated the various running statuses of power dispatch data network realistically; Based on this network simulation model; Simulate the network traffic of various data dispatching nets, realized the diverse network fault is carried out emulation and fault locating analysis.
Description of drawings
Fig. 1 is the sketch map of power dispatch data network fault simulation analytical method of the present invention.
Embodiment
Below in conjunction with specific embodiment the present invention is further set forth.
Power dispatch data network fault simulation analytical method based on SP Guru as shown in Figure 1 comprises the steps:
(1) through access network device information collecting server in power dispatch data network; Obtain all-network configuration of devices information in the power dispatch data network; Set up the network model of power dispatch data network according to the configuration information that is obtained through SP Guru platform; Thereby simulate the annexation between the all-network equipment in the true data dispatching net; Network equipment information is collected server and can be collected all-network device configuration information in the power dispatch data network automatically at set intervals, also can formulate the opportunity of its collection as required; Said configure packet includes network device node information and network link information; Particularly; All-network equipment to power dispatch data network carries out Information Statistics; This statistical information comprises device name, equipment vendors and model, management ip address, login mode, port numbers, user name, password, superuser name, franchise password and SNMP community number; Then statistical information is consigned to information collecting server; Information collecting server will be selected suitable instruction to obtain the information of the network equipment according to the manufacturer and the model of concrete equipment, thereby obtain all-network configuration of devices information in the whole power dispatch data network according to login mode (like Telnet or SSH) and management ip address logging in network equipment then automatically; And set up nodal analysis method and the link model that generates all-network equipment, obtain the annexation of nodal analysis method and link model.
(2) dispose the flow collection device through the key node in power dispatch data network; Obtain the data on flows of (like a week, a week) power dispatch data network in a period of time through the Port Mirroring of each key node; All datas on flows of key node all are mirrored in the flow collection device, set up the discharge model of power dispatch data network again according to said data on flows through SP Guru platform.Wherein a period of time can be selected to confirm according to the purpose of emulation.
(3) based on the data dispatching network simulation model of said network model and discharge model formation, network equipment node in this simulation model or/and the network link implementation mistake disposes or inefficacy is set, is carried out network failure emulation; Particularly, the network failure emulation of enforcement comprises:
(a) single node fault simulation; In the simulation model of being set up; The configuration implementation mistake of single network device node is revised (such as the Routing Protocol setting of revising router, port connection status etc.) or single network device node (such as certain router in the core layer etc.) is set to failure state; Thereby the total failure or the local fault scene of simulation single network equipment import to the data on flows of discharge model in this data dispatching net fault scenes, then can draw under this failure condition; The network quality-of-service parameters of data dispatching net and performance parameter are like the size to the influence of the flow load of node;
(b) multiple network node fault simulation; In the simulation model of being set up; The configuration implementation mistake of at least two (a plurality of) network equipment nodes is revised (such as the Routing Protocol setting of revising router, port connection status etc.) or at least two (a plurality of) network equipment nodes (such as certain router in the core layer etc.) are set to failure state; Thereby simulate the total failure or the local fault scene of at least two (a plurality of) network equipments; Data on flows with discharge model imports in this data dispatching net fault scenes again; Then can draw under the situation that at least two (a plurality of) network nodes break down simultaneously, the network quality-of-service parameters of data dispatching net and performance parameter are like the size to the influence of the flow load of node;
(c) single link failure emulation; In the simulation model of being set up; Configuration implementation mistake to the wall scroll network link of link model is revised (such as the bandwidth of revising link etc.) or the wall scroll network link is set to failure state; Thereby the fault scenes of simulation single link when breaking down imports to the data on flows of discharge model in this data dispatching net fault scenes, then can draw under this failure condition; The network quality-of-service parameters of data dispatching net and performance parameter are like the size to the influence of the flow load of node;
(d) multilink fault emulation; In the simulation model of being set up; Configuration implementation mistake at least two (many) network links of link model is revised (such as the bandwidth of revising link etc.) or at least two (many) network links is set to failure state; Thereby simulate at least two (many) fault scenes when link breaks down, the data on flows of discharge model is imported in this data dispatching net fault scenes, then can draw under the situation that at least two (many) links break down simultaneously; The network quality-of-service parameters of data dispatching net and performance parameter are like the size to the influence of the flow load of node;
Also can do mixed fault emulation; In the simulation model of being set up; Any bar network link is set to failure state or the configuration implementation mistake of any bar network link of link model is revised (such as the bandwidth of revising link etc.), simultaneously a network equipment node arbitrarily (such as some router in the core layer etc.) is set to failure state or the configuration of network equipment node make amendment (such as the Routing Protocol setting of revising router, port connection status etc.); Thereby the fault scenes when simulating any bar network link and a network equipment all breaking down arbitrarily; Data on flows with discharge model imports in the fault scenes of this data dispatching net again; Then can simulate any bar network link and an any network equipment and all break down under the situation, for dispatching data the influence of indexs such as network quality-of-service parameters in the net and performance parameter size.
(4) data on flows of discharge model according to the fault type of artificial network fault in the step (3) and when the artificial network fault takes place obtains the network quality-of-service parameters and the performance parameter of the power dispatch data network simulation model under the corresponding artificial network fault condition in the generation step (3).
(5) when data dispatching net generation live network fault; Configuration information when the configuration information that the network equipment after the live network fault takes place is normally moved with the network equipment that takes place to obtain through described data dispatching network simulation model before the live network fault compares, and positioning analysis has the network equipment that the live network fault takes place.Particularly, for the simulation model of being set up, in medium, it is stored as the corresponding simulation model description document, this description document comprises the configuration information of all-network device node in the whole power dispatch data network.The all-network device configuration information is collected in the described network equipment information collection of step (1) server, formulating at set intervals automatically to power dispatch data network, and configuration information is preserved chronologically.When power dispatch data network takes place artificial or equipment is changed the configuration of the network equipment and when causing taking place live network fault (obstructed such as network); Network equipment information is collected server and once more the all-network device configuration information is collected, and saves as configuration file B; All-network device configuration information file A through configuration file B and the last network operation are just often being obtained compares.If configuration information file is variant, the configuration that can analyze and orient fast concrete which network equipment is broken down; If configuration information file does not have difference, can get rid of network failure and cause because of network equipments configuration.
Execution mode of the present invention is not limited thereto; According to foregoing; Ordinary skill knowledge and customary means according to this area; Do not breaking away under the above-mentioned basic fundamental thought of the present invention prerequisite, the present invention can also make equivalent modifications, replacement or the change of other various ways, all should be interpreted as still to belong to protection scope of the present invention.
Claims (4)
1. power dispatch data network fault simulation analytical method based on SP Guru, this method comprises the steps:
(1) obtains all-network configuration of devices information in the power dispatch data network, set up the network model of power dispatch data network through SP Guru platform according to the configuration information that is obtained; Said configure packet includes network device node information and network link information; Said network model comprises the nodal analysis method and the link model of all-network equipment in the data dispatching net;
(2) obtain the data on flows of power dispatch data network, set up the discharge model of power dispatch data network through SP Guru platform according to said data on flows;
(3) based on the data dispatching network simulation model of said network model and discharge model formation, network equipment node in this simulation model or/and the network link implementation mistake disposes or inefficacy is set, is carried out network failure emulation;
(4) data on flows of discharge model according to the fault type of artificial network fault and when the artificial network fault takes place obtains taking place the network quality-of-service parameters and the performance parameter of the power dispatch data network simulation model under this artificial network fault condition;
(5) when data dispatching net generation live network fault; Configuration information when the configuration information that the network equipment after the live network fault takes place is normally moved with the network equipment that takes place to obtain through described data dispatching network simulation model before the live network fault compares, and positioning analysis has the network equipment that the live network fault takes place.
2. the power dispatch data network fault simulation analytical method based on SP Guru according to claim 1; It is characterized in that: in the said step (1); Through access network device information collecting server in the data dispatching net, be used for obtaining data dispatching net all-network configuration of devices information.
3. the power dispatch data network fault simulation analytical method based on SP Guru according to claim 1; It is characterized in that: in the said step (2); Dispose flow collection equipment through the key node in power dispatch data network, obtain the data on flows of power dispatch data network in a period of time through the Port Mirroring of each key node.
4. the power dispatch data network fault simulation analytical method based on SP Guru according to claim 1 is characterized in that: said network failure emulation comprises at least with the next item down:
(a) single node fault simulation disposes or is provided with node failure to single network device node implementation mistake in the simulation model;
(b) multinode fault simulation disposes or is provided with node failure at least two network equipment node implementation mistakes in the simulation model;
(c) inefficacy is disposed or be set to single link failure emulation to wall scroll network link implementation mistake in the simulation model;
(d) inefficacy is disposed or be set to multilink fault emulation at least two network link implementation mistakes in the simulation model.
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| WO2017008690A1 (en) * | 2015-07-10 | 2017-01-19 | 杭州华三通信技术有限公司 | Packet loss positioning in vxlan |
| CN107357228A (en) * | 2017-07-11 | 2017-11-17 | 中兴耀维科技江苏有限公司 | A kind of method for monitoring fault location failure analysis and control on-line |
| CN107609205A (en) * | 2016-07-12 | 2018-01-19 | 百度在线网络技术（北京）有限公司 | Business simulating system and method |
| CN107947988A (en) * | 2017-11-28 | 2018-04-20 | 华信塞姆（成都）科技有限公司 | A kind of Real Time Communication Network analogue system |
| CN109150559A (en) * | 2017-06-15 | 2019-01-04 | 中国航空工业集团公司洛阳电光设备研究所 | Time trigger Ethernet analogue system |
| CN109640195A (en) * | 2018-11-16 | 2019-04-16 | 中国电力科学研究院有限公司 | A kind of emulation mode and system towards power communication Optical Transmission Network OTN large scale scene |
| CN110474801A (en) * | 2019-08-09 | 2019-11-19 | 国网浙江省电力有限公司信息通信分公司 | Powerline network fault simulation method based on service reliability |
| CN110968075A (en) * | 2019-12-13 | 2020-04-07 | 南京航空航天大学 | Fault diagnosis method and system based on active learning self-organizing cellular network |
| CN111431739A (en) * | 2020-03-16 | 2020-07-17 | 国电南瑞科技股份有限公司 | QualNet-oriented dynamic fault setting method and interface for simulation communication network |
| CN113708978A (en) * | 2021-09-28 | 2021-11-26 | 中国工商银行股份有限公司 | Network availability test method and device, computer equipment and storage medium |
| CN114553710A (en) * | 2020-11-26 | 2022-05-27 | 中国南方电网有限责任公司 | Transformer substation information transmission network flow simulation method, device, equipment and medium |
| CN114629829A (en) * | 2020-11-26 | 2022-06-14 | 中国南方电网有限责任公司 | Network survivability simulation verification method and device, computer equipment and storage medium |
| CN115473828A (en) * | 2022-08-18 | 2022-12-13 | 阿里巴巴（中国）有限公司 | Fault detection method and system based on simulation network |
| CN116151047A (en) * | 2023-04-21 | 2023-05-23 | 嘉豪伟业科技有限公司 | Power dispatching data network fault simulation method and system |
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Cited By (19)
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| WO2017008690A1 (en) * | 2015-07-10 | 2017-01-19 | 杭州华三通信技术有限公司 | Packet loss positioning in vxlan |
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| CN107609205A (en) * | 2016-07-12 | 2018-01-19 | 百度在线网络技术（北京）有限公司 | Business simulating system and method |
| CN109150559A (en) * | 2017-06-15 | 2019-01-04 | 中国航空工业集团公司洛阳电光设备研究所 | Time trigger Ethernet analogue system |
| CN107357228A (en) * | 2017-07-11 | 2017-11-17 | 中兴耀维科技江苏有限公司 | A kind of method for monitoring fault location failure analysis and control on-line |
| CN107947988A (en) * | 2017-11-28 | 2018-04-20 | 华信塞姆（成都）科技有限公司 | A kind of Real Time Communication Network analogue system |
| CN109640195A (en) * | 2018-11-16 | 2019-04-16 | 中国电力科学研究院有限公司 | A kind of emulation mode and system towards power communication Optical Transmission Network OTN large scale scene |
| CN110474801A (en) * | 2019-08-09 | 2019-11-19 | 国网浙江省电力有限公司信息通信分公司 | Powerline network fault simulation method based on service reliability |
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| CN114553710A (en) * | 2020-11-26 | 2022-05-27 | 中国南方电网有限责任公司 | Transformer substation information transmission network flow simulation method, device, equipment and medium |
| CN114629829A (en) * | 2020-11-26 | 2022-06-14 | 中国南方电网有限责任公司 | Network survivability simulation verification method and device, computer equipment and storage medium |
| CN114553710B (en) * | 2020-11-26 | 2023-09-19 | 中国南方电网有限责任公司 | Substation information transmission network flow simulation method, device, equipment and medium |
| CN113708978A (en) * | 2021-09-28 | 2021-11-26 | 中国工商银行股份有限公司 | Network availability test method and device, computer equipment and storage medium |
| CN115473828A (en) * | 2022-08-18 | 2022-12-13 | 阿里巴巴（中国）有限公司 | Fault detection method and system based on simulation network |
| CN115473828B (en) * | 2022-08-18 | 2024-01-05 | 阿里巴巴（中国）有限公司 | Fault detection method and system based on simulation network |
| CN116151047A (en) * | 2023-04-21 | 2023-05-23 | 嘉豪伟业科技有限公司 | Power dispatching data network fault simulation method and system |
| CN116151047B (en) * | 2023-04-21 | 2023-06-27 | 嘉豪伟业科技有限公司 | Power dispatching data network fault simulation method and system |
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Application publication date: 20120704 |