CN108900367A - A kind of analysis method for reliability for seabed information network - Google Patents
A kind of analysis method for reliability for seabed information network Download PDFInfo
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- CN108900367A CN108900367A CN201811156665.6A CN201811156665A CN108900367A CN 108900367 A CN108900367 A CN 108900367A CN 201811156665 A CN201811156665 A CN 201811156665A CN 108900367 A CN108900367 A CN 108900367A
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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
- H04L41/14—Network analysis or design
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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
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
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- Computer Networks & Wireless Communication (AREA)
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Abstract
The invention discloses a kind of analysis method for reliability for seabed information network, method includes the following steps：Step 1: initialization, input simulation times F, underwater node total number M, backbone links number D, network adjacent matrix A, network backbone layer adjacency matrix B, iteration count j=1, k=1, Step 2: system mode random walk, sampling obtains the out-of-service time of each node and backbone links in jth time emulation.The present invention is by analyzing its function mission, propose the reliability analysis model and evaluation index suitable for seabed Information Network, and resist the situation of change for degree of ruining using the system reliability of Monte Carlo Method simulation analysis network and node, maintenance decision and node topographical location optimization for seabed Information Network have certain reference significance, seabed Information Network in reality can repair, and further work is the influence after analyzing addition maintenance policy to seabed Information Network availability.
Description
Technical field
The present invention relates to information network technique field, specially a kind of fail-safe analysis side for seabed information network
Method.
Background technique
Bank station and the steady and sustained long-time information exchange of underwater sensing equipment may be implemented in seabed Information Network, is the following state
Anti- and scientific research important foundation data source, structure is complicated for seabed information network system, is generally built in benthos, maintenance
Difficulty and costly, to reach satisfactory network availability, need to believe systems reliability analysis through entire seabed
The overall process that network planning is drawn and designed is ceased, most research work concentrate on functional parts（Such as communication system, power supply system）'s
Research, in terms of reliability more focus on solve equipment undersea environment problem of resistance, shorter mention system layer it is reliable
Property evaluation index and analysis method, however the transmission data of the task of seabed Information Network not instead of traditional network, will reach
Certain information exchange purpose, it is therefore desirable to evaluate whether network has the ability for completing particular task within a certain period of time.
Summary of the invention
The purpose of the present invention is to provide a kind of analysis method for reliability for seabed information network, to solve above-mentioned back
The problem of being proposed in scape technology.
To achieve the above object, the present invention provides the following technical solutions：A kind of reliability for seabed information network point
Analysis method, method include the following steps：
Step 1: initialization, inputs simulation times F, underwater node total number M, backbone links number D, network adjacent matrix
A, network backbone layer adjacency matrix B, iteration count j=1, k=1.
Step 2: system mode random walk, when sampling obtains the failure of each node and backbone links in jth time emulation
Between, the out-of-service time including main plug into box, secondary box of plugging into, backbone links and underwater equipment interface, and will be stored in the out-of-service time
Out-of-service time sequence Ts.
Step 3: thrashing time sample, out-of-service time sequence Ts when by jth time emulation, are reset by ascending order
Column.
Step 4: the simulation execution time to be increased to the generation moment of k-th of failure event, execute what system mode changed
Everything：If node failure, then the node and connected side are deleted from network；If side failure, then by the side
It is deleted from network.
Step 5: the current failure moment is directed to, in network backbone etale topology, using breadth first search method, with each master
Box node of plugging into is source point, and search is plugged into the status reset of the affiliated underwater sensing equipment of box node less than the master of bank station node.
Step 6: being directed to the current failure moment, Depth Priority Algorithm is used, in full mesh topology with bank station node
For source point, by search less than underwater sensing device node status reset, the corresponding failure of statistics current failure moment is underwater to be passed
Feel number of devices.
Step 7: if k=| S| continues in next step, otherwise k=k+1, return step 4.
Step 8: continuing in next step, otherwise to enable j=j+1 and k=1, return step 2 if j=N.
Step 9: emulation statistical data is collected in analysis according to the reliability index point estimation formula that 2,3 sections propose.
Preferably, the primary and secondary in the seabed Information Network node is plugged into box and underwater equipment interface joint effect bank station
The information exchange of node and underwater sensing equipment.
Preferably, this analysis method further includes shore-based power supply system and bank base data management system；Main box of plugging into passes through sea
Back light photoelectric compound cable interconnects, and is mainly responsible for network route origin, the power supply of subordinate equipment and the transmission of backbone layer data；It is secondary
Plug into box for underwater sensing equipment provide suitable data transmission channel and power supply grade；Underwater equipment interface includes adaptation multiclass
Component and underwater electrical connector of communication protocol etc.；Underwater sensing equipment is responsible for collecting seabed relevant information and responding bank station referring to
It enables；Signalling device includes light sender and EDFA；Receiving apparatus is light receiver；Secondary box of plugging into includes shell, power supply unit
And interchanger；Underwater equipment interface includes node control equipment and watertight interface.
Preferably, this analysis method further includes system reliability model, and wherein the primary and secondary in seabed Information Network node is plugged into
The information exchange of box and underwater equipment interface joint effect bank station node and underwater sensing equipment, depending on bank station, primary and secondary plug into box,
Underwater equipment interface and underwater sensing equipment modeling are independent node, and wherein s is bank station source node, Z1~Zn（N=
1,2 ..., M）Main box of plugging into is represented, C1~Cn is secondary box of plugging into, Jij（I=1,2 ..., M；J=1,2 ..., m）It is secondary
It plugs into the equipment interface being connected in box with underwater sensing equipment, Kij is underwater sensing equipment.
Compared with prior art, beneficial effects of the present invention are as follows：
The present invention proposes and refers to suitable for the reliability analysis model of seabed Information Network and evaluation by analyzing its function mission
Mark, and using the system reliability of Monte Carlo Method simulation analysis network and the situation of change of the anti-degree of ruining of node, for sea
Maintenance decision and the node topographical location optimization of bottom Information Network have certain reference significance, and the seabed Information Network in reality is can
With what is repaired, further work is the influence after analyzing addition maintenance policy to seabed Information Network availability.
Detailed description of the invention
Fig. 1 is Information Network ring structure schematic diagram in seabed of the present invention；
Fig. 2 is Information Network model schematic in seabed of the present invention；
Fig. 3 is present system reliability schematic diagram；
Fig. 4 is that node of the present invention resists degree of ruining schematic diagram.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Fig. 1-4, a kind of analysis method for reliability for seabed information network are please referred to, method includes the following steps：
Step 1: initialization, inputs simulation times F, underwater node total number M, backbone links number D, network adjacent matrix A, net
Network backbone layer adjacency matrix B, iteration count j=1, k=1.
Step 2: system mode random walk, when sampling obtains the failure of each node and backbone links in jth time emulation
Between, the out-of-service time including main plug into box, secondary box of plugging into, backbone links and underwater equipment interface, and will be stored in the out-of-service time
Out-of-service time sequence Ts, the primary and secondary in the Information Network node of seabed are plugged into box and underwater equipment interface joint effect bank station node
With the information exchange of underwater sensing equipment.
Step 3: thrashing time sample, out-of-service time sequence Ts when by jth time emulation, are reset by ascending order
Column.
Step 4: the simulation execution time to be increased to the generation moment of k-th of failure event, execute what system mode changed
Everything：If node failure, then the node and connected side are deleted from network；If side failure, then by the side
It is deleted from network, this analysis method further includes shore-based power supply system and bank base data management system；Main box of plugging into passes through seabed
Optoelectronic composite cable interconnects, and is mainly responsible for network route origin, the power supply of subordinate equipment and the transmission of backbone layer data；It is secondary to connect
It refutes box and provides suitable data transmission channel and power supply grade for underwater sensing equipment；Underwater equipment interface includes that adaptation multiclass is logical
Believe component and the underwater electrical connector etc. of agreement；Underwater sensing equipment is responsible for collecting seabed relevant information and responding bank station referring to
It enables；Signalling device includes light sender and EDFA；Receiving apparatus is light receiver；Secondary box of plugging into includes shell, power supply unit
And interchanger；Underwater equipment interface includes node control equipment and watertight interface.
Step 5: the current failure moment is directed to, in network backbone etale topology, using breadth first search method, with each master
Box node of plugging into is source point, and search is plugged into the status reset of the affiliated underwater sensing equipment of box node less than the master of bank station node.
Step 6: being directed to the current failure moment, Depth Priority Algorithm is used, in full mesh topology with bank station node
For source point, by search less than underwater sensing device node status reset, the corresponding failure of statistics current failure moment is underwater to be passed
Feel number of devices, this analysis method further includes system reliability model, wherein the primary and secondary in seabed Information Network node plug into box with
And the information exchange of underwater equipment interface joint effect bank station node and underwater sensing equipment, it plugs into box, underwater depending on bank station, primary and secondary
Equipment interface and underwater sensing equipment modeling are independent node, and wherein s is bank station source node, Z1~Zn（N=1,
2 ..., M）Main box of plugging into is represented, C1~Cn is secondary box of plugging into, Jij（I=1,2 ..., M；J=1,2 ..., m）It is connect to be secondary
The equipment interface being connected in box with underwater sensing equipment is refuted, Kij is underwater sensing equipment.
Step 7: if k=| S| continues in next step, otherwise k=k+1, return step 4.
Step 8: continuing in next step, otherwise to enable j=j+1 and k=1, return step 2 if j=N.
Step 9: analysis collect emulation statistical data, by taking system dependability as an example, respectively choose simulation times be 10,
100, it 1000 and 2000 is calculated, 100 experiment numbers are approximate with the simulation result of more experiment numbers, work as simulation times
It is greater than, after 1000, simulation result is without too big variation, therefore simulation times are 1000 times the result is that effective.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (4)
1. a kind of analysis method for reliability for seabed information network, it is characterised in that：Its method includes the following steps：
Step 1: initialization, inputs simulation times F, underwater node total number M, backbone links number D, network adjacent matrix A, net
Network backbone layer adjacency matrix B, iteration count j=1, k=1.
Step 2: system mode random walk, sampling obtains the out-of-service time of each node and backbone links in jth time emulation, packet
When including the out-of-service time of main plug into box, secondary box of plugging into, backbone links and underwater equipment interface, and the out-of-service time will be stored in failure
Between sequence Ts.
Step 3: thrashing time sample, out-of-service time sequence Ts when by jth time emulation, carry out permutatation by ascending order.
Step 4: the simulation execution time to be increased to the generation moment of k-th of failure event, all of system mode change are executed
Movement：If node failure, then the node and connected side are deleted from network；If side failure, then by the side from net
It is deleted in network.
Step 5:, using breadth first search method, being plugged into for the current failure moment in network backbone etale topology with each master
Box node is source point, and search is plugged into the status reset of the affiliated underwater sensing equipment of box node less than the master of bank station node.
Step 6: being directed to the current failure moment, Depth Priority Algorithm is used in full mesh topology, using bank station node as source
Point, by search less than underwater sensing device node status reset, the statistics current failure moment, corresponding failure underwater sensing was set
Standby quantity.
Step 7: if k=| S |, continue in next step, otherwise k=k+1, return step 4.
Step 8: continuing in next step, otherwise to enable j=j+1 and k=1, return step 2 if j=N.
Step 9: emulation statistical data is collected in analysis according to the reliability index point estimation formula that 2,3 sections propose.
2. a kind of analysis method for reliability for seabed information network according to claim 1, it is characterised in that：It is described
Primary and secondary in the Information Network node of seabed is plugged into box and underwater equipment interface joint effect bank station node and underwater sensing equipment
Information exchange.
3. a kind of analysis method for reliability for seabed information network according to claim 1, it is characterised in that：One's duty
Analysis method further includes shore-based power supply system and bank base data management system；Main box of plugging into mutually is connected by sea floor optoelectronic composite cable
It connects, is mainly responsible for network route origin, the power supply of subordinate equipment and the transmission of backbone layer data；Secondary box of plugging into sets for underwater sensing
It is standby that suitable data transmission channel and power supply grade are provided；Underwater equipment interface include be adapted to multiclass communication protocol component and
Underwater electrical connector etc.；Underwater sensing equipment is responsible for collecting seabed relevant information and responds bank station instruction；Signalling device includes light
Sender and EDFA；Receiving apparatus is light receiver；Secondary box of plugging into includes shell, power supply unit and interchanger；Underwater equipment
Interface includes node control equipment and watertight interface.
4. a kind of analysis method for reliability for seabed information network according to claim 1, it is characterised in that：One's duty
Analysis method further includes system reliability model, and wherein the primary and secondary in seabed Information Network node is plugged into box and underwater equipment interface
The information exchange of joint effect bank station node and underwater sensing equipment is plugged into box, underwater equipment interface and water depending on bank station, primary and secondary
Lower sensing equipment modeling is independent node, and wherein s is bank station source node, and Z1~Zn (n=1,2 ..., M) represents main box of plugging into,
C1~Cn is secondary box of plugging into, Jij (i=1,2 ..., M；J=1,2 ..., m) it is to be connected in secondary box of plugging into underwater sensing equipment
Equipment interface, Kij are underwater sensing equipment.
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| CN201811156665.6A CN108900367A (en) | 2018-09-30 | 2018-09-30 | A kind of analysis method for reliability for seabed information network |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111327974A (en) * | 2020-03-05 | 2020-06-23 | 深圳欧特海洋科技有限公司 | Seabed observation network redundancy system based on ring network topology structure and use method |
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Application publication date: 20181127 |
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