CN105187273A - Probe deployment method and device for power communication private network service monitoring - Google Patents

Probe deployment method and device for power communication private network service monitoring Download PDF

Info

Publication number
CN105187273A
CN105187273A CN201510530809.XA CN201510530809A CN105187273A CN 105187273 A CN105187273 A CN 105187273A CN 201510530809 A CN201510530809 A CN 201510530809A CN 105187273 A CN105187273 A CN 105187273A
Authority
CN
China
Prior art keywords
deployment
summit
vertex
probe
directed graph
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201510530809.XA
Other languages
Chinese (zh)
Inventor
梁云
黄凤
刘世栋
王文革
郝悍勇
朱亮
郭云飞
缪巍巍
李伟
王瑶
吴晨光
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
State Grid Jiangsu Electric Power Co Ltd
State Grid Henan Electric Power Co Ltd
Smart Grid Research Institute of SGCC
Original Assignee
State Grid Corp of China SGCC
State Grid Jiangsu Electric Power Co Ltd
State Grid Henan Electric Power Co Ltd
Smart Grid Research Institute of SGCC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, State Grid Jiangsu Electric Power Co Ltd, State Grid Henan Electric Power Co Ltd, Smart Grid Research Institute of SGCC filed Critical State Grid Corp of China SGCC
Priority to CN201510530809.XA priority Critical patent/CN105187273A/en
Publication of CN105187273A publication Critical patent/CN105187273A/en
Pending legal-status Critical Current

Links

Landscapes

  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The invention provides a probe deployment method and device for power communication private network service monitoring. The method comprises the steps of modeling a power communication private network into an undirected graph of which each vertex has a weight, obtaining a minimal vertex covering set in the graph, and determining the deployment capacity of probes through the minimal vertex covering set of the graph and giving the deployment priority of each probe based on a node weight. Under the condition of active monitoring, the influence of network monitoring on power communication services is reduced at the minimal probe deployment cost and maintenance cost.

Description

A kind of probe deployment method and apparatus for the monitoring of power communication private network business
Technical field
The present invention relates to a kind of probe deployment method and deployment devices, be specifically related to a kind of probe deployment method and apparatus for the monitoring of power communication private network business.
Background technology
Business monitoring is the basis of network management, and current main monitoring mode is the measuring probe by access network, the service traffics information on monitoring network link or node.Can realize to communication network link layer, network layer, transport layer, application layer to business comprehensive monitoring from top to bottom, such as, for the probe of transmission line, the Signaling Analyzer for traffic relaying, the service dial testing probe etc. for IP network by probe.
Obviously, probe is installed on all links and can produces larger construction and O&M cost, and also can produce large amount measurement data when measuring, cause noise, need to consider how rational deployment to realize the whole network monitoring by the least possible monitoring point.For the business monitoring in power communication private network, the deployment of probe must cost, coverage, on the impact of practical business between weigh.Simultaneously, due to the existence of the factor such as built by separate periods, the network capacity extension, the deployment of network probe is a long-term process, and monitoring equipment is once dispose, preferably can sustainable utilization in follow-up e-learning quality process, also need the deployment issue of priority considering network probe.
The Optimization deployment problem of network probe can be converted into the Minimum Vertex Covering collection problem of figure.The Minimum Vertex Covering collection of figure is np problem, and the time complexity of algorithm increases about the scale exponentially level of figure, thus limits the application of algorithm.Therefore, the research of approximation algorithm must be carried out according to the actual requirements with current conditions.Such as Wuhan University based on the minimal set cover of figure, proposes a kind of network performance monitoring probe deployment method based on genetic algorithm in " the probe deployment technique study of distributed network performance monitoring " (computer engineering, in July, 2007).The National University of Defense Technology is at " the network link utilized bandwidth monitoring model based on weak vertex cover " (Journal of Software, 2004,15 (4)) (Journal of Software that, " solves Network Traffic Monitoring set algorithm based on original Dual Method ", 2006,17 (4)) the minimum weak vertex cover collection of figure etc. is proposed in paper based on stream conservation principle, analyze the approximate data solving the minimum weak vertex cover collection divided based on max-flow, the minimal set cover scale of figure can be optimized theoretically.
Existing research, the physical topology generally depending on network is planned probe deployment, finds the minimum node set that can cover all links.Private wire network has been built in electric power system, with different modes bearing multiple services such as optical cable, circuit, data flow.When the topology of service network, flow, ageing there is larger difference, existing method can not meet the requirement of power communication completely.Often probe is disposed according to real needs under electrical production physical condition, lack model and quantitative analysis, can consider to carry out modeling with the Minimum Vertex Covering set pair probe deployment of figure, utilize the feature of service convergence in electric power enterprise private network, the definition such as node weights, adjacent node is increased in the non-directed graph model set up, be optimized conventional algorithm, solve and obtain network monitor node to be disposed, it is disposed priority and can determine according to node weights.
Summary of the invention
For the deficiencies in the prior art, the present invention proposes a kind of probe deployment method and apparatus for the monitoring of power communication private network business, and for electric power enterprise private network, optimized network probe deployment under the condition of active monitoring, to obtain performance data.
The object of the invention is to adopt following technical proposals to realize:
For a probe deployment method for power communication private network business monitoring, described method comprises,
(1) be the modeling of power communication private network, form the non-directed graph that its summit has weight;
(2) the minimum weak vertex cover collection in non-directed graph is obtained;
(3) according to the deployment capacity of the minimum weak vertex cover collection determination probe of non-directed graph, and based on the deployment priority of vertex weights determination probe.
Preferably, described step (1) comprises the steps,
1-1 defines non-directed graph G=(V, E), makes it meet Deg (v) >=2 (v ∈ V); Arbitrary summit of described non-directed graph is v, while be e; Vertex v ∈ V represents network node, and e ∈ E represents the physical connection between network node; The degree that Deg (ν) is this summit;
1-2 gives vertex weights W (v) to network node;
1-3 defines all vertex v that the number of degrees that adjacent degree L (v) of vertex v is v associate with v ' number of degrees sum, i.e. L (v)=Σ Deg (v ')+Deg (v).
Preferably, the concrete grammar of the minimum weak vertex cover obtained in non-directed graph in described step (2) comprises:
(2.1) based on the stream conservation constraints of communication node, the summit with maximum Topology Potential of described non-directed graph is chosen, the summit that namely product of node weights W (ν) and node adjacency number of degrees L (v) is maximum;
(2.2) mark the limit that the maximum summit of described product and this summit are associated, and mark all vertex v associated with this summit " and with vertex v " limit that is associated;
(2.3) check unlabelled summit in figure, if the limit that the Deg (v)-1 on a certain summit is associated is labeled, then marks the limit of residual correlation connection, then in unmarked region, this summit, choose the summit with maximum Topology Potential;
(2.4) step (2.2) and step (2.3) is repeated, until new limit can not be marked again.
Preferably, the deployment capacity of described step (3) probe is that the Minimum Vertex Covering of non-directed graph G (V, E) concentrates the summit of mark to add up to capacity for probes.
For a probe deployment device for power communication private network business monitoring, described device comprises: the first deployment module, the second deployment module and the 3rd deployment module; Wherein, described first deployment module is used for, for the modeling of power communication private network, forming the non-directed graph that its summit has weight; Described second deployment module obtains the minimum weak vertex cover collection in non-directed graph;
Described 3rd deployment module is used for according to the deployment capacity of the minimum weak vertex cover collection determination probe of non-directed graph, and based on the deployment priority of vertex weights determination probe.
Compared with the prior art, beneficial effect of the present invention is:
The present invention obtains the prioritization scheme that power communication private network middle probe is disposed, and being specially: power communication private network is modeled as non-directed graph, according to service bearer situation defined node weight, being disposed by network probe abstract in asking the problem of the Minimum Vertex Covering collection of Given Graph.By solving the Minimum Vertex Covering collection of figure, select the measured node of network, the node total number now chosen is required capacity for probes, according to the priority of node weights determination probe deployment.Its advantage is under the condition of active monitoring, reduces number of probes by rational deployment, while meeting power communication private network service feature data acquisition demand, reduces deployment cost and the maintenance cost of probe.Consider the importance of the factor such as built by separate periods, the network capacity extension and network bearer, the deployment necessarily phase in of network probe.
The network probe dispositions method that the present invention proposes provides the priority of probe deployment.The probe deployment of current power communication private network not yet forms actual exercisable solution, and the probe deployment method of formation and device thereof have actual operability, can save lower deployment cost, reduces network monitor to the impact of energy communication service.
Accompanying drawing explanation
Fig. 1 is a kind of probe deployment method flow diagram for the monitoring of power communication private network business provided by the invention;
Fig. 2 is the schematic diagram of vertex covering collection provided by the invention and weak vertex cover collection;
Fig. 3 is the schematic diagram of power telecom network middle probe deployed position provided by the invention.
Embodiment
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in further detail.
A kind of probe deployment method for the monitoring of power communication private network business of the present invention, comprises the following steps:
As shown in Figure 1, power communication private network is modeled as non-directed graph, by abstract for network monitor problem for asking the problem of the Minimum Vertex Covering collection of Given Graph.By probe, can be implemented in transmission network, data network, rent the comprehensive monitoring to business on public network resources.E1 probe is such as installed physical layer, link layer and network layer performance analysis are carried out to line signal, thus communications network performance and state are assessed, traffic signaling probe is installed administration telephone, 95598 special lines are monitored etc.
Link detecting equipment can only detect the traffic conditions of this link, the measuring equipment being deployed in network node can detect the situation of the every bar link be connected with network node, and utilize the stream conservation rule (flow-conservationlaw) of network node (as router), optimize the deployment of probe.Although the packet delay of such as switching equipment itself or abandon, the uncertainty of equipment control signal, multicast cause the data Replica etc. of output port can cause the distortion of stream conservation equation, but for the service application flow accounting for the network traffics overwhelming majority, the relative error that stream conservation equation has is very little.Therefore, according to business according to the importance of bearer service and quantity, different weights is given to network node, based on the adjacent number of degrees of weight and node, solve the Minimum Vertex Covering collection of figure, the node total number now chosen is required capacity for probes, and provides the deployment priority of probe based on node weights.
Be specially:
(1) be the modeling of power communication private network, form the non-directed graph that its summit has weight;
1-1 defines non-directed graph G=(V, E), makes it meet Deg (v) >=2 (v ∈ V); Arbitrary summit of described non-directed graph is v, while be e; Vertex v ∈ V represents network node, and e ∈ E represents the physical connection between network node; The degree that Deg (ν) is this summit;
1-2 gives vertex weights W (v) to network node;
1-3 defines all vertex v that the number of degrees that adjacent degree L (v) of vertex v is v associate with v ' number of degrees sum, i.e. L (v)=Σ Deg (v ')+Deg (v).
(2) the minimum weak vertex cover collection in non-directed graph is obtained;
The concrete grammar of the minimum weak vertex cover obtained in non-directed graph in step (2) comprises:
(2.1) based on the stream conservation constraints of communication node, the summit with maximum Topology Potential of described non-directed graph is chosen, the summit that namely product of node weights W (ν) and node adjacency number of degrees L (v) is maximum;
(2.2) mark the limit that the maximum summit of described product and this summit are associated, and mark all vertex v associated with this summit " and with vertex v " limit that is associated;
(2.3) check unlabelled summit in figure, if the limit that the Deg (v)-1 on a certain summit is associated is labeled, then marks the limit of residual correlation connection, then in unmarked region, this summit, choose the summit with maximum Topology Potential;
(2.4) step (2.2) and step (2.3) is repeated, until new limit can not be marked again.
As shown in Figure 2, in the example of 7 nodes, Minimum Vertex Covering collection is totally 2 nodes, thus significantly reduces the deployment quantity of monitoring point.
(3) according to the deployment capacity of the minimum weak vertex cover collection determination probe of non-directed graph, and based on the deployment priority of vertex weights determination probe.
The deployment capacity of step (3) probe is that the Minimum Vertex Covering of non-directed graph G (V, E) concentrates the summit of mark to add up to capacity for probes.
The needs that the present invention monitors round power business set out, and how research disposes appropriate probe to meet different business monitoring requirements, to solve the problem of deployed position and the capacity of deployment.A kind of probe deployment device for the monitoring of power communication private network business of concrete proposition, comprising: the first deployment module, the second deployment module and the 3rd deployment module; Wherein, described first deployment module is used for, for the modeling of power communication private network, forming the non-directed graph that its summit has weight; Described second deployment module obtains the minimum weak vertex cover collection in non-directed graph; Described 3rd deployment module is used for according to the deployment capacity of the minimum weak vertex cover collection determination probe of non-directed graph, and based on the deployment priority of vertex weights determination probe.
Probe in power telecom network can deployed position as shown in Figure 3.
Pass through said method, power telecom network is modeled as non-directed graph G (V, E), its Minimum Vertex Covering S is exactly the measuring set about link utilized bandwidth under the constraint of stream conservation equation, if there is node v ≠ S, and the link utilized bandwidth on Deg (v)-1 limit of v obtains, the link utilized bandwidth on an other limit can be calculated according to stream conservation equation, application stream conservation equation repeatedly, the flow of all links in the G (V, E) that publishes picture can be calculated.According to importance and the quantity of bearer service, give different weights to network node, thus determine the priority of probe deployment.
The application obtains the prioritization scheme of power communication private network middle probe deployment by said method, it is advantageous that, under the condition of active monitoring, optimizes deployment and the maintenance cost of probe, and reduces the impact of network monitor on energy communication service.
Finally should be noted that: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit; those of ordinary skill in the field still can modify to the specific embodiment of the present invention with reference to above-described embodiment or equivalent replacement; these do not depart from any amendment of spirit and scope of the invention or equivalent replacement, are all applying within the claims of the present invention awaited the reply.

Claims (5)

1., for a probe deployment method for power communication private network business monitoring, it is characterized in that, described method comprises,
(1) be the modeling of power communication private network, form the non-directed graph that its summit has weight;
(2) the minimum weak vertex cover collection in non-directed graph is obtained;
(3) according to the deployment capacity of the minimum weak vertex cover collection determination probe of non-directed graph, and based on the deployment priority of vertex weights determination probe.
2. the method for claim 1, is characterized in that, described step (1) comprises the steps,
(1.1) define non-directed graph G=(V, E), make it meet Deg (v) >=2 (v ∈ V); Arbitrary summit of described non-directed graph is v, and arbitrary limit is e; Vertex v ∈ V represents network node, and e ∈ E represents the physical connection between network node; The degree that Deg (ν) is this summit;
(1.2) vertex weights W (v) is given to network node;
(1.3) define all vertex v that the number of degrees that adjacent degree L (v) of vertex v is v associate with v ' number of degrees sum, i.e. L (v)=Σ Deg (v ')+Deg (v).
3. the method for claim 1, is characterized in that, the concrete grammar of the minimum weak vertex cover obtained in non-directed graph in described step (2) comprises:
(2.1) based on the stream conservation constraints of communication node, the summit with maximum Topology Potential of described non-directed graph is chosen, the summit that namely product of node weights W (ν) and node adjacency number of degrees L (v) is maximum;
(2.2) mark the limit that the maximum summit of described product and this summit are associated, and mark all vertex v associated with this summit " and with vertex v " limit that is associated;
(2.3) check unlabelled summit in figure, if the limit that the Deg (v)-1 on a certain summit is associated is labeled, then marks the limit of residual correlation connection, then in unmarked region, this summit, choose the summit with maximum Topology Potential;
(2.4) step (2.2) and step (2.3) is repeated, until new limit can not be marked again.
4. the method for claim 1, is characterized in that, the deployment capacity of described step (3) probe is that the Minimum Vertex Covering of non-directed graph G (V, E) concentrates the summit of mark to add up to capacity for probes.
5., for a probe deployment device for power communication private network business monitoring, it is characterized in that, described device comprises: the first deployment module, the second deployment module and the 3rd deployment module; Wherein, described first deployment module is used for, for the modeling of power communication private network, forming the non-directed graph that its summit has weight; Described second deployment module obtains the minimum weak vertex cover collection in non-directed graph;
Described 3rd deployment module is used for according to the deployment capacity of the minimum weak vertex cover collection determination probe of non-directed graph, and based on the deployment priority of vertex weights determination probe.
CN201510530809.XA 2015-08-26 2015-08-26 Probe deployment method and device for power communication private network service monitoring Pending CN105187273A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510530809.XA CN105187273A (en) 2015-08-26 2015-08-26 Probe deployment method and device for power communication private network service monitoring

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510530809.XA CN105187273A (en) 2015-08-26 2015-08-26 Probe deployment method and device for power communication private network service monitoring

Publications (1)

Publication Number Publication Date
CN105187273A true CN105187273A (en) 2015-12-23

Family

ID=54909126

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510530809.XA Pending CN105187273A (en) 2015-08-26 2015-08-26 Probe deployment method and device for power communication private network service monitoring

Country Status (1)

Country Link
CN (1) CN105187273A (en)

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105871621A (en) * 2016-05-06 2016-08-17 安徽继远软件有限公司 Probe deployment method based on improved greedy strategy
CN106341262A (en) * 2016-08-31 2017-01-18 全球能源互联网研究院 Electric power communication private network resource configuration method taking consideration of optical cable operation state
CN107222257A (en) * 2017-06-07 2017-09-29 国网江苏省电力公司南京供电公司 A kind of method and apparatus for measuring adapted electric channel quality
CN107317707A (en) * 2017-06-27 2017-11-03 中国人民解放军国防科学技术大学 A kind of SDN topological management method based on vertex covering set
CN108833152A (en) * 2018-06-05 2018-11-16 国网江苏省电力有限公司电力科学研究院 Electric power wireless private network end-to-end performance monitoring node deployment method and device
CN109041071A (en) * 2018-07-27 2018-12-18 北京国电通网络技术有限公司 A kind of electric power wireless private network probe deployment method and apparatus
CN109714220A (en) * 2017-10-25 2019-05-03 中国电信股份有限公司 Network quality detection method and device
CN112350865A (en) * 2020-11-03 2021-02-09 广东电力通信科技有限公司 Topology identification positioning method based on Wi-Fi probe and broadband wave communication technology
CN112737868A (en) * 2020-10-28 2021-04-30 北京邮电大学 Multi-objective optimization method based on probe scheduling and related equipment
CN116232956A (en) * 2023-05-06 2023-06-06 国网智能电网研究院有限公司 Network time delay in-band telemetry method, device, electronic equipment and storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101355460A (en) * 2008-09-05 2009-01-28 北京工业大学 Method for setting network flux monitoring point
CN102572865A (en) * 2010-12-14 2012-07-11 上海工程技术大学 Wireless Ad Hoc network reliability measuring method
CN102938918A (en) * 2012-10-19 2013-02-20 无锡赛睿科技有限公司 Method, device and system for managing wireless sensor network (WSN)
CN103166809A (en) * 2011-12-15 2013-06-19 中国移动通信集团湖南有限公司 Monitoring station deploying method and device
CN104468355A (en) * 2014-11-21 2015-03-25 国家电网公司 Route selection method under reliability restraint condition

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101355460A (en) * 2008-09-05 2009-01-28 北京工业大学 Method for setting network flux monitoring point
CN102572865A (en) * 2010-12-14 2012-07-11 上海工程技术大学 Wireless Ad Hoc network reliability measuring method
CN103166809A (en) * 2011-12-15 2013-06-19 中国移动通信集团湖南有限公司 Monitoring station deploying method and device
CN102938918A (en) * 2012-10-19 2013-02-20 无锡赛睿科技有限公司 Method, device and system for managing wireless sensor network (WSN)
CN104468355A (en) * 2014-11-21 2015-03-25 国家电网公司 Route selection method under reliability restraint condition

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105871621A (en) * 2016-05-06 2016-08-17 安徽继远软件有限公司 Probe deployment method based on improved greedy strategy
CN106341262A (en) * 2016-08-31 2017-01-18 全球能源互联网研究院 Electric power communication private network resource configuration method taking consideration of optical cable operation state
CN106341262B (en) * 2016-08-31 2021-10-29 全球能源互联网研究院 Power communication private network resource allocation method considering optical cable running state
CN107222257A (en) * 2017-06-07 2017-09-29 国网江苏省电力公司南京供电公司 A kind of method and apparatus for measuring adapted electric channel quality
CN107317707A (en) * 2017-06-27 2017-11-03 中国人民解放军国防科学技术大学 A kind of SDN topological management method based on vertex covering set
CN107317707B (en) * 2017-06-27 2020-07-17 中国人民解放军国防科学技术大学 SDN network topology management method based on point coverage set
CN109714220A (en) * 2017-10-25 2019-05-03 中国电信股份有限公司 Network quality detection method and device
CN109714220B (en) * 2017-10-25 2020-11-13 中国电信股份有限公司 Network quality detection method and device
CN108833152A (en) * 2018-06-05 2018-11-16 国网江苏省电力有限公司电力科学研究院 Electric power wireless private network end-to-end performance monitoring node deployment method and device
CN109041071A (en) * 2018-07-27 2018-12-18 北京国电通网络技术有限公司 A kind of electric power wireless private network probe deployment method and apparatus
CN112737868A (en) * 2020-10-28 2021-04-30 北京邮电大学 Multi-objective optimization method based on probe scheduling and related equipment
CN112350865A (en) * 2020-11-03 2021-02-09 广东电力通信科技有限公司 Topology identification positioning method based on Wi-Fi probe and broadband wave communication technology
CN112350865B (en) * 2020-11-03 2023-07-04 广东电力通信科技有限公司 Topology identification positioning method based on Wi-Fi probe and broadband wave communication technology
CN116232956A (en) * 2023-05-06 2023-06-06 国网智能电网研究院有限公司 Network time delay in-band telemetry method, device, electronic equipment and storage medium

Similar Documents

Publication Publication Date Title
CN105187273A (en) Probe deployment method and device for power communication private network service monitoring
Lazaropoulos Wireless Sensor Network Design for Transmission Line Monitoring, Metering, and Controlling: Introducing Broadband over Power Lines‐Enhanced Network Model (BPLeNM)
Al-Karaki et al. Data aggregation and routing in wireless sensor networks: Optimal and heuristic algorithms
Deng et al. Communication network modeling and simulation for wide area measurement applications
Gallardo et al. Clustering algorithm-based network planning for advanced metering infrastructure in smart grid
CN113411221B (en) Power communication network fault simulation verification method, device, equipment and storage medium
US11646602B2 (en) Topology and phase detection for electrical supply network
Judge et al. Secure transmission lines monitoring and efficient electricity management in ultra-reliable low latency industrial Internet of Things
Rinaldi et al. Software defined networking applied to the heterogeneous infrastructure of smart grid
Jha et al. Reliability analysis of smart grid networks incorporating hardware failures and packet loss
Karimi et al. On the capacity of a wireless backhaul for the distribution level of the smart grid
Jha et al. A comprehensive framework for the assessment of synchrophasor communication networks from the perspective of situational awareness in a smart grid cyber physical system
CN109842522B (en) Method and system for configuring communication routing resources
CN104376220A (en) Multi-dimension electric power communication access network service modeling and demand analyzing method
Chugulu et al. Proposed Practical Communication Architecture for Automatic Fault Detection and Clearance in Secondary Distribution Power Network
Armendariz et al. Method to design optimal communication architectures in advanced metering infrastructures
Ji et al. Comprehensive vulnerability assessment and optimisation method of power communication network
Hou et al. Design of a power transmission line monitoring system based upon edge computing and Zigbee wireless communication
Bhaumik et al. Energy-efficient design and optimization of wireline access networks
CN112198395A (en) Synchronous data fault positioning system for power distribution network
CN106506065B (en) Transmission network is by detour calculation method
Yu et al. Performance monitoring nodes deployment strategies for power wireless private networks based on improved mixed greedy algorithm
Phillipson et al. Estimating bandwidth coverage using geometric models
Li et al. Research on communication technology of opgw line in distribution network under interference environment
CN103093318A (en) Method and system for electric power telecommunication equipment loss control

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20151223