CN105703973A - Composite-measurement-based reliability research method for power communication fiber network - Google Patents

Composite-measurement-based reliability research method for power communication fiber network Download PDF

Info

Publication number
CN105703973A
CN105703973A CN201610159737.7A CN201610159737A CN105703973A CN 105703973 A CN105703973 A CN 105703973A CN 201610159737 A CN201610159737 A CN 201610159737A CN 105703973 A CN105703973 A CN 105703973A
Authority
CN
China
Prior art keywords
power communication
fiber optic
optic network
communication fiber
effectiveness
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.)
Granted
Application number
CN201610159737.7A
Other languages
Chinese (zh)
Other versions
CN105703973B (en
Inventor
冯瑛敏
李霜冰
王建波
刘瑾
黄丽妍
任国歧
毛华
刘树勇
王冲
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 Tianjin Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
State Grid Tianjin Electric Power Co Ltd
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 Tianjin Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201610159737.7A priority Critical patent/CN105703973B/en
Publication of CN105703973A publication Critical patent/CN105703973A/en
Application granted granted Critical
Publication of CN105703973B publication Critical patent/CN105703973B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0805Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
    • H04L43/0811Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking connectivity
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0823Errors, e.g. transmission errors
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0852Delays

Landscapes

  • Engineering & Computer Science (AREA)
  • Environmental & Geological Engineering (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The invention provides a composite-measurement-based reliability research method for a power communication fiber network. The method comprises: effectiveness and fiber attenuation are used as measurement indexes for evaluating reliability of a power communication fiber network; a bandwidth, time delay, a packet loss, and a cost are used as indexes for evaluating a service transmission performance of the power communication fiber network; effectiveness, fiber attenuation, bandwidth, time delay, packet loss, and cost data are collected from operation data of an existing power communication fiber network, a mathematic model of the power communication fiber network is established by using the data, and constraint conditions of the measurement indexes including the effectiveness, fiber attenuation, bandwidth, time delay, packet loss, and cost are set; and composite measurement m optical circuit configuration is carried out on a to-be-evaluated power communication fiber network by using the mathematic model of the power communication fiber network. According to the invention, the method has a certain guidance significance in network optimization and resource allocation of the power communication fiber network as well as improvement of the reliability management level of the power communication network.

Description

A kind of power communication fiber optic network reliability consideration method based on composite measure
Technical field
The invention belongs to powerline network planning operation technical field, particularly relate to a kind of power communication fiber optic network reliability consideration method based on composite measure。
Background technology
Can power telecom network will be directly connected to the safety and stability of power system production run by reliability service, once the communication broke down of important step, will result in the massive losses of electrical network。Along with the construction of intelligent substation and widely using of intelligence instrument, powerline network carrying class of business and quantity sharply increase, owing to each business is also not quite similar for the transmission requirement of communication, thus the transmission service qualities (QoS) such as the bandwidth of power optical fiber transmission, time delay are proposed multi-level restriction demand。Therefore, the reliability assessment of fiber optic circuit is just particularly important with the work of circuit configuration optimization。But still lack corresponding method at present。
Summary of the invention
In order to solve the problems referred to above, it is an object of the invention to provide a kind of power communication fiber optic network reliability consideration method based on composite measure。
In order to achieve the above object, the power communication fiber optic network reliability consideration method based on composite measure provided by the invention includes the following step of performing in order:
Step 1) adopt effectiveness, optical fiber attenuation as the measurement index evaluating power communication fiber optic network reliability, strengthen the ruining property of resistance of network with this, improve network survivability and availability;
Step 2) adopt bandwidth, time delay, packet loss, cost as the measurement index evaluating power communication fiber optic network service transmission performance, to meet the transmission service quality demand of different business;
Step 3) from the service data of existing power communication fiber optic network, collect effectiveness, optical fiber attenuation, bandwidth, time delay, packet loss and cost data, and utilize these data to set up the mathematical model of power communication fiber optic network, concurrently set effectiveness, optical fiber attenuation, bandwidth, time delay, packet loss and the cost constraints at interior measurement index;
Step 4) utilize the mathematical model of above-mentioned power communication fiber optic network that power communication fiber optic network to be evaluated carries out the configuration of composite measure m optimum circuit。
In step 3) in, described collects effectiveness, optical fiber attenuation, bandwidth, time delay, packet loss and cost data from the service data of existing power communication fiber optic network, and utilize these data to set up the mathematical model of power communication fiber optic network, concurrently setting effectiveness, optical fiber attenuation, bandwidth, time delay, packet loss and cost in the method for interior measurement index constraints is:
Effectiveness, optical fiber attenuation, bandwidth, time delay, packet loss and cost data is collected from the service data of existing power communication fiber optic network, utilize these data to set up the mathematical model of power communication fiber optic network, the equipment in power communication fiber optic network and optical fiber are equivalent to the node in undirected weighted graph G (V, E) and limit, wherein V={v1, v2 ..., vm} represents node set, E={e1, e2 ..., en} represents the set of link ei;According to the relevant parameter affecting power communication fiber optic network, link ei is arranged multiple weighing value, namely in power communication fiber optic network, each link ei has multiple weights, constitute r weight weighted graph G, r is the number of weights in each of the links ei, then power communication fiber optic network is the acyclic path (set of node and link) from source node to destination node;According to effectiveness, optical fiber attenuation, bandwidth, time delay, packet loss and cost, the impact of power communication fiber optic network is set the constraints of above-mentioned each test index simultaneously:
Bandwidth: DK >=BW
Optical fiber attenuation:
Time delay: l≤Dr
Packet loss:
Effectiveness: ACp≥ACr
Cost:
BW, Ar, Dr, pr, ACr, Cr represent the threshold value of bandwidth, optical fiber attenuation, time delay, packet loss, effectiveness, cost respectively。
In step 4) in, power communication fiber optic network to be evaluated is carried out the method for composite measure m optimum circuit configuration and is by the described mathematical model utilizing above-mentioned power communication fiber optic network:
Step 4.1) demand according to power communication fiber optic network to be evaluated, utilize the mathematical model of above-mentioned power communication fiber optic network to determine BW, Ar, Dr, pr, ACr, Cr of power communication fiber optic network to be evaluated;
Step 4.2) in r weight weighted graph G, needed for adopting acyclic m shortest path algorithm to obtain correspondence, m bar shortest path collection Rij (m), m bar shortest path collection Rij (m) between node pair represent the m paths collection from source node i to destination node j;
Step 4.3) to shortest path collection RijM all path computing compound weights in (), carry out ordering selection scheme, concrete operation method is as follows: calculate r successivelyij∈RijM the bandwidth of (), time delay, packet loss, effectiveness are in interior path metrics instruction, remove the path being unsatisfactory for constraints, and to meeting the path of constraints, effectiveness according to path is ranked up, the highest path of effectiveness of selection as the primary route of power communication fiber optic network to be evaluated, and select and primary route without the path of shared link as alternate routing。
In step 4.2), described weighs in weighted graph G at r, needed for adopting acyclic m shortest path algorithm to obtain correspondence, m bar shortest path collection Rij (m), m bar shortest path collection Rij (m) between node pair represent that the concrete grammar of the m paths collection from source node i to destination node j is as follows:
(1) source node i shortest path r to destination node j is obtained0, and shortest path r0Put in shortest path collection Rij (m), and labelling shortest path r0It is in shortest path collection Rij (m) next step path to be processed, R time initialij={ r0};
(2) shortest path collection RijIn total pending path ri=a1→a1→a2→…→axMeter x bar link, adopts " block-reconnect " operation to calculate the path of above-mentioned x bar link successively, it is thus achieved that y bar new route P, wherein x, y should meet y≤x;
(3) shortest path collection R is carried outijSet additive operation R with y bar new route Pij(M)=Rij∪ P, and labelling y bar new route P is untreated, if | | Rij(M) | | >=m, then go to step (4);Otherwise at shortest path collection RijThe untreated path of middle searching, is labeled as and currently need to process path, go to step (2) afterwards;
(4) by Rij(M) shortest path comprised in returns, and algorithm terminates, and exports shortest path collection Rij(m)。
Power communication fiber optic network reliability consideration method based on composite measure provided by the invention cooks up m bar possible arrangement scheme in once configuration process simultaneously, and measured and light path whole process reliability by differences such as the bandwidth of analysis path collection, time delay, packet loss, attenuation and costs, final acquisition disclosure satisfy that the light path allocation plan of reliability and transmission service quality demand, and provides prioritizing selection sequence。Power communication fiber optic network method based on multi-constraint condition can be used for the planning of power telecom network, construction, Operations, Administration and Maintenance。The network optimization and resource allocation to power optical fiber transmission network, the reliability management level improving power telecom network has certain directive significance。
Accompanying drawing explanation
Fig. 1 is the power communication fiber optic network reliability consideration method flow diagram based on composite measure provided by the invention。
Detailed description of the invention
Below in conjunction with the drawings and specific embodiments, the power communication fiber optic network reliability consideration method based on composite measure provided by the invention is described in detail。
As it is shown in figure 1, the power communication fiber optic network reliability consideration method based on composite measure provided by the invention includes the following step performed in order:
Step 1) adopt effectiveness, optical fiber attenuation as the measurement index evaluating power communication fiber optic network reliability, strengthen the ruining property of resistance of network with this, improve network survivability and availability;
Step 2) adopt bandwidth, time delay, packet loss, cost as the measurement index evaluating power communication fiber optic network service transmission performance, to meet the transmission service quality demand of different business;
Step 3) from the service data of existing power communication fiber optic network, collect effectiveness, optical fiber attenuation, bandwidth, time delay, packet loss and cost data, and utilize these data to set up the mathematical model of power communication fiber optic network, concurrently set effectiveness, optical fiber attenuation, bandwidth, time delay, packet loss and the cost constraints at interior measurement index;
Step 4) utilize the mathematical model of above-mentioned power communication fiber optic network that power communication fiber optic network to be evaluated carries out the configuration of composite measure m optimum circuit。
In step 3) in, described collects effectiveness, optical fiber attenuation, bandwidth, time delay, packet loss and cost data from the service data of existing power communication fiber optic network, and utilize these data to set up the mathematical model of power communication fiber optic network, concurrently setting effectiveness, optical fiber attenuation, bandwidth, time delay, packet loss and cost in the method for interior measurement index constraints is:
Effectiveness, optical fiber attenuation, bandwidth, time delay, packet loss and cost data is collected from the service data of existing power communication fiber optic network, utilize these data to set up the mathematical model of power communication fiber optic network, the equipment in power communication fiber optic network and optical fiber are equivalent to the node in undirected weighted graph G (V, E) and limit, wherein V={v1, v2 ..., vm} represents node set, E={e1, e2 ..., en} represents the set of link ei;According to the relevant parameter affecting power communication fiber optic network, link ei is arranged multiple weighing value, namely in power communication fiber optic network, each link ei has multiple weights, constitute r weight weighted graph G, r is the number of weights in each of the links ei, then power communication fiber optic network is the acyclic path (set of node and link) from source node to destination node;According to effectiveness, optical fiber attenuation, bandwidth, time delay, packet loss and cost, the impact of power communication fiber optic network is set the constraints of above-mentioned each test index simultaneously:
Bandwidth: DK >=BW
Optical fiber attenuation:
Time delay: l≤Dr
Packet loss:
Effectiveness: ACp≥ACr
Cost:
BW, Ar, Dr, pr, ACr, Cr represent the threshold value of bandwidth, optical fiber attenuation, time delay, packet loss, effectiveness, cost respectively。
In step 4) in, power communication fiber optic network to be evaluated is carried out the method for composite measure m optimum circuit configuration and is by the described mathematical model utilizing above-mentioned power communication fiber optic network:
Step 4.1) demand according to power communication fiber optic network to be evaluated, utilize the mathematical model of above-mentioned power communication fiber optic network to determine BW, Ar, Dr, pr, ACr, Cr of power communication fiber optic network to be evaluated;
Step 4.2) in r weight weighted graph G, acyclic m shortest path algorithm is adopted to obtain needed for correspondence m bar shortest path collection Rij (m) between node pair, m bar shortest path collection Rij (m) represents the m paths collection from source node i to destination node j, and concrete grammar is as follows:
(1) source node i shortest path r to destination node j is obtained0, and shortest path r0Put in shortest path collection Rij (m), and labelling shortest path r0It is in shortest path collection Rij (m) next step path to be processed, R time initialij={ r0};
(2) shortest path collection RijIn total pending path ri=a1→a1→a2→…→axMeter x bar link, adopts " block-reconnect " operation to calculate the path of above-mentioned x bar link successively, it is thus achieved that y bar new route P, wherein x, y should meet y≤x;
(3) shortest path collection R is carried outijSet additive operation R with y bar new route Pij(M)=Rij∪ P, and labelling y bar new route P is untreated, if | | Rij(M) | | >=m, then go to step (4);Otherwise at shortest path collection RijThe untreated path of middle searching, is labeled as and currently need to process path, go to step (2) afterwards;
(4) by Rij(M) shortest path comprised in returns, and algorithm terminates, and exports shortest path collection Rij(m);
Step 4.3) to shortest path collection RijM all path computing compound weights in (), carry out ordering selection scheme。Concrete operation method is as follows: calculate r successivelyij∈RijM the bandwidth of (), time delay, packet loss, effectiveness are in interior path metrics instruction, remove the path being unsatisfactory for constraints, and to meeting the path of constraints, effectiveness according to path is ranked up, the highest path of effectiveness of selection as the primary route of power communication fiber optic network to be evaluated, and select and primary route without the path of shared link as alternate routing。
The inventive method is based on the reliability of omnidistance light path and effectiveness mathematical model, the optimization circuit configuration new method of composite measure is proposed, go out to calculate m bar circuit allocation plan in the process that once configures simultaneously, it is easy to the selection of active and standby route, high degree promotes circuit reliability, for network planning, administer and maintain there is more practical significance。

Claims (4)

1. the power communication fiber optic network reliability consideration method based on composite measure, it is characterised in that: the described power communication fiber optic network reliability consideration method based on composite measure includes the following step performed in order:
Step 1) adopt effectiveness, optical fiber attenuation as the measurement index evaluating power communication fiber optic network reliability, strengthen the ruining property of resistance of network with this, improve network survivability and availability;
Step 2) adopt bandwidth, time delay, packet loss, cost as the measurement index evaluating power communication fiber optic network service transmission performance, to meet the transmission service quality demand of different business;
Step 3) from the service data of existing power communication fiber optic network, collect effectiveness, optical fiber attenuation, bandwidth, time delay, packet loss and cost data, and utilize these data to set up the mathematical model of power communication fiber optic network, concurrently set effectiveness, optical fiber attenuation, bandwidth, time delay, packet loss and the cost constraints at interior measurement index;
Step 4) utilize the mathematical model of above-mentioned power communication fiber optic network that power communication fiber optic network to be evaluated carries out the configuration of composite measure m optimum circuit。
2. the power communication fiber optic network reliability consideration method based on composite measure according to claim 1, it is characterized in that: in step 3) in, described collects effectiveness, optical fiber attenuation, bandwidth, time delay, packet loss and cost data from the service data of existing power communication fiber optic network, and utilize these data to set up the mathematical model of power communication fiber optic network, concurrently setting effectiveness, optical fiber attenuation, bandwidth, time delay, packet loss and cost in the method for interior measurement index constraints is:
Effectiveness, optical fiber attenuation, bandwidth, time delay, packet loss and cost data is collected from the service data of existing power communication fiber optic network, utilize these data to set up the mathematical model of power communication fiber optic network, the equipment in power communication fiber optic network and optical fiber are equivalent to the node in undirected weighted graph G (V, E) and limit, wherein V={v1, v2 ..., vm} represents node set, E={e1, e2 ..., en} represents the set of link ei;According to the relevant parameter affecting power communication fiber optic network, link ei is arranged multiple weighing value, namely in power communication fiber optic network, each link ei has multiple weights, constitute r weight weighted graph G, r is the number of weights in each of the links ei, then power communication fiber optic network is the acyclic path (set of node and link) from source node to destination node;According to effectiveness, optical fiber attenuation, bandwidth, time delay, packet loss and cost, the impact of power communication fiber optic network is set the constraints of above-mentioned each test index simultaneously:
Bandwidth: DK >=BW
Optical fiber attenuation:
Time delay: l≤Dr
Packet loss:
Effectiveness: ACp≥ACr
Cost:
BW, Ar, Dr, pr, ACr, Cr represent the threshold value of bandwidth, optical fiber attenuation, time delay, packet loss, effectiveness, cost respectively。
3. the power communication fiber optic network reliability consideration method based on composite measure according to claim 1, it is characterized in that: in step 4) in, power communication fiber optic network to be evaluated is carried out the method for composite measure m optimum circuit configuration and is by the described mathematical model utilizing above-mentioned power communication fiber optic network:
Step 4.1) demand according to power communication fiber optic network to be evaluated, utilize the mathematical model of above-mentioned power communication fiber optic network to determine BW, Ar, Dr, pr, ACr, Cr of power communication fiber optic network to be evaluated;
Step 4.2) in r weight weighted graph G, needed for adopting acyclic m shortest path algorithm to obtain correspondence, m bar shortest path collection Rij (m), m bar shortest path collection Rij (m) between node pair represent the m paths collection from source node i to destination node j;
Step 4.3) to shortest path collection RijM all path computing compound weights in (), carry out ordering selection scheme, concrete operation method is as follows: calculate r successivelyij∈RijM the bandwidth of (), time delay, packet loss, effectiveness are in interior path metrics instruction, remove the path being unsatisfactory for constraints, and to meeting the path of constraints, effectiveness according to path is ranked up, the highest path of effectiveness of selection as the primary route of power communication fiber optic network to be evaluated, and select and primary route without the path of shared link as alternate routing。
4. the power communication fiber optic network reliability consideration method based on composite measure according to claim 2, it is characterized in that: in step 4.2), described weighs in weighted graph G at r, needed for adopting acyclic m shortest path algorithm to obtain correspondence, m bar shortest path collection Rij (m), m bar shortest path collection Rij (m) between node pair represent that the concrete grammar of the m paths collection from source node i to destination node j is as follows:
(1) source node i shortest path r to destination node j is obtained0, and shortest path r0Put in shortest path collection Rij (m), and labelling shortest path r0It is in shortest path collection Rij (m) next step path to be processed, R time initialij={ r0};
(2) shortest path collection RijIn total pending path ri=a1→a1→a2→...→axMeter x bar link, adopts " block-reconnect " operation to calculate the path of above-mentioned x bar link successively, it is thus achieved that y bar new route P, wherein x, y should meet y≤x;
(3) shortest path collection R is carried outijSet additive operation R with y bar new route Pij(M)=Rij∪ P, and labelling y bar new route P is untreated, if | | Rij(M) | | >=m, then go to step (4);Otherwise at shortest path collection RijThe untreated path of middle searching, is labeled as and currently need to process path, go to step (2) afterwards;
(4) by Rij(M) shortest path comprised in returns, and algorithm terminates, and exports shortest path collection Rij(m)。
CN201610159737.7A 2016-03-18 2016-03-18 A kind of power communication fiber optic network reliability consideration method based on composite measure Active CN105703973B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610159737.7A CN105703973B (en) 2016-03-18 2016-03-18 A kind of power communication fiber optic network reliability consideration method based on composite measure

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610159737.7A CN105703973B (en) 2016-03-18 2016-03-18 A kind of power communication fiber optic network reliability consideration method based on composite measure

Publications (2)

Publication Number Publication Date
CN105703973A true CN105703973A (en) 2016-06-22
CN105703973B CN105703973B (en) 2018-12-25

Family

ID=56232179

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610159737.7A Active CN105703973B (en) 2016-03-18 2016-03-18 A kind of power communication fiber optic network reliability consideration method based on composite measure

Country Status (1)

Country Link
CN (1) CN105703973B (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106961350A (en) * 2017-02-28 2017-07-18 南京邮电大学 A kind of simulation control method of intelligent grid cascading failure
CN110943759A (en) * 2019-11-12 2020-03-31 国家电网有限公司信息通信分公司 Electric power communication link data checking method based on depth-first search algorithm
CN112203300A (en) * 2020-08-07 2021-01-08 杭州电子科技大学 Routing performance evaluation method for wireless communication node of power internet of things
CN112565940A (en) * 2020-11-20 2021-03-26 国网浙江省电力有限公司宁波供电公司 Optical fiber path planning method and device for optical fiber network
CN114884569A (en) * 2022-06-09 2022-08-09 中国联合网络通信集团有限公司 Method, device and equipment for determining optical network unit to be remediated and storage medium
CN114900233A (en) * 2022-05-16 2022-08-12 中国联合网络通信集团有限公司 Method and device for renovating and managing optical network unit, electronic equipment and medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011116074A2 (en) * 2010-03-19 2011-09-22 Accenture Global Services Limited Intelligent network
CN102932179A (en) * 2012-10-31 2013-02-13 国网电力科学研究院 Comprehensive inter-network multi-protection reliability analysis method for power communication services
CN103166812A (en) * 2013-03-28 2013-06-19 广东电网公司电力调度控制中心 Method for determining reliability of power communication system
CN106341247A (en) * 2015-07-09 2017-01-18 中国电力科学研究院 Reliable communication channel configuration method for bidirectional interactive electricity information acquisition system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011116074A2 (en) * 2010-03-19 2011-09-22 Accenture Global Services Limited Intelligent network
CN102932179A (en) * 2012-10-31 2013-02-13 国网电力科学研究院 Comprehensive inter-network multi-protection reliability analysis method for power communication services
CN103166812A (en) * 2013-03-28 2013-06-19 广东电网公司电力调度控制中心 Method for determining reliability of power communication system
CN106341247A (en) * 2015-07-09 2017-01-18 中国电力科学研究院 Reliable communication channel configuration method for bidirectional interactive electricity information acquisition system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
程文清等: "电力光纤传输网可靠性评估方法的研究", 《电力***通信》 *

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106961350A (en) * 2017-02-28 2017-07-18 南京邮电大学 A kind of simulation control method of intelligent grid cascading failure
CN106961350B (en) * 2017-02-28 2020-03-31 南京邮电大学 Simulation control method for cascade faults of smart power grid
CN110943759A (en) * 2019-11-12 2020-03-31 国家电网有限公司信息通信分公司 Electric power communication link data checking method based on depth-first search algorithm
CN112203300A (en) * 2020-08-07 2021-01-08 杭州电子科技大学 Routing performance evaluation method for wireless communication node of power internet of things
CN112203300B (en) * 2020-08-07 2022-06-17 杭州电子科技大学 Routing performance evaluation method for wireless communication node of power internet of things
CN112565940A (en) * 2020-11-20 2021-03-26 国网浙江省电力有限公司宁波供电公司 Optical fiber path planning method and device for optical fiber network
CN114900233A (en) * 2022-05-16 2022-08-12 中国联合网络通信集团有限公司 Method and device for renovating and managing optical network unit, electronic equipment and medium
CN114900233B (en) * 2022-05-16 2023-05-16 中国联合网络通信集团有限公司 Method and device for renovating and managing optical network unit, electronic equipment and medium
CN114884569A (en) * 2022-06-09 2022-08-09 中国联合网络通信集团有限公司 Method, device and equipment for determining optical network unit to be remediated and storage medium
CN114884569B (en) * 2022-06-09 2023-06-16 中国联合网络通信集团有限公司 Method, device, equipment and storage medium for determining optical network unit to be remediated

Also Published As

Publication number Publication date
CN105703973B (en) 2018-12-25

Similar Documents

Publication Publication Date Title
CN105703973A (en) Composite-measurement-based reliability research method for power communication fiber network
CN108696777B (en) The flexible optical network resource distribution method of the space division multiplexing frequency spectrum of minimum cross-talk
CN105335816A (en) Electric power communication operation trend and business risk analyzing method based on deep learning
CN103166812B (en) Power communication system determination method of reliability
CN103166774B (en) With route arrange distinguish method and device
CN110417664A (en) Business route distribution method and device based on power telecom network
CN106651624A (en) Integrated service access network operation quality evaluation method and test platform thereof
CN105376156A (en) Multi-attribute decision-making based power backbone transmission network route planning method
CN110971525B (en) Service routing and addressing method for service operation of power communication network
CN114025264B (en) Route planning method for electric power communication SDH optical transmission network
CN114158102B (en) Wireless heterogeneous communication network switching method for feeder automation real-time control
CN113705085A (en) Modeling and risk assessment method for multi-level structure of smart power grid
Xing et al. Load balancing-based routing optimization mechanism for power communication networks
CN106559242B (en) A kind of balancing method of power telecom network operation troubles
CN114513451A (en) Power grid double-route planning method and system based on risk balance
CN107689884A (en) A kind of method of half network plan simulation in kind of power communication
CN104394027B (en) A kind of network quality detection method and device based on metadata
CN106341247B (en) A kind of reliable communication channel configuration method of two-way interaction power information acquisition system
CN107453786A (en) A kind of powerline network method for establishing model and device
Jiang et al. Risk evaluation method of electric power communication network
CN110309943A (en) Optimal service path planning method for power transmission network
CN107360480B (en) A kind of ONU grouping planing method based on load balancing
Jian et al. Research on reliability evaluation of power communication network
CN109495315B (en) Metropolitan area network analysis and prediction method under big data environment and readable storage medium
CN106961397B (en) The optical path method for building up and system of power distribution communication net

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant