CN114900230A - Modeling method for digitization of all-optical link - Google Patents
Modeling method for digitization of all-optical link Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B10/00—Transmission systems employing electromagnetic waves other than radio-waves, e.g. infrared, visible or ultraviolet light, or employing corpuscular radiation, e.g. quantum communication
- H04B10/07—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems
- H04B10/073—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems using an out-of-service signal
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/18—Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B10/00—Transmission systems employing electromagnetic waves other than radio-waves, e.g. infrared, visible or ultraviolet light, or employing corpuscular radiation, e.g. quantum communication
- H04B10/07—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems
- H04B10/073—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems using an out-of-service signal
- H04B10/0731—Testing or characterisation of optical devices, e.g. amplifiers
Abstract
The invention discloses a modeling method for all-optical link digitization, which relates to the technical field of optical links and at least comprises the following steps: embedding the optical fiber physical code with unique code element distribution into optical links of different types/scenes and marking the optical links; receiving optical signals of different types/scenes of optical links, and decoding the optical signals into electric signals; collecting electrical signals of different types/scenes of optical links and translating the electrical signals into digital signals; and establishing an integral digital twin model according to the digital signals of different types/scene optical links, and virtually imaging. The invention embeds the optical fiber physical code with unique code element distribution into the optical fiber, and carries out classification marking according to the optical links of different types and different use scenes, thereby completing the topological marking of the optical fiber product, realizing the digitization of the optical fiber, establishing an optical link digital twin model and realizing the digitization of the all-optical link.
Description
Technical Field
The invention relates to the technical field of optical links, in particular to a digitalized modeling method for an all-optical link.
Background
The optical link principle is to use different optical methods to realize the interconnection level of the network, so as to obtain the free space optical interconnection network with different topological structures. Generally, the optical transceiver is composed of an optical transmitter (electrical/optical converter), an optical fiber, an optical receiver (optical/electrical converter), and other necessary optical devices (such as an optical amplifier, an optical connector, an optical splitter, and an optical attenuator).
When the existing optical link framework is actually used, the whole pulse signals of the related links of the same type may be affected due to the fault of a certain optical fiber, and at this time, a lot of time and cost are consumed for troubleshooting the specific problem of the optical link, so that an optical link digitized aggregate model is needed to perform statistical observation on the optical link, and the fault or the problem of the optical link is detected and troubleshooted at the first time.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the art described above. Therefore, an object of the present invention is to provide a modeling method for digitizing an all-optical link, which can label the topology of an optical fiber product, implement digitization of an optical fiber, and establish an optical link digital twin model, implementing digitization of the all-optical link.
The second purpose of the invention is to provide a modeling device for all-optical link digitization.
A third object of the invention is to propose a computer device.
A fourth object of the invention is to propose a computer-readable storage medium.
In order to achieve the above object, an embodiment of the first aspect of the present invention provides a modeling method for digitization of an all-optical link, where the method at least includes the following steps:
embedding the optical fiber physical code with unique code element distribution into optical links of different types/scenes and marking the optical links;
receiving optical signals of different types/scene optical links, and decoding the optical signals into electric signals;
collecting electrical signals of different types/scenes of optical links and translating the electrical signals into digital signals;
and establishing an integral digital twin model according to the digital signals of different types/scene optical links, and virtually imaging.
Preferably, the optical link includes at least:
the optical fiber, the optical receiver, the optical transmitter, the optical repeater, the optical fiber encoder and the optical fiber encoding demodulator;
the optical fiber is used for transmitting optical signals;
the optical receiver is used for receiving an optical signal;
the optical transmitter is used for transmitting an optical signal;
the optical repeater is used for compensating the loss of optical signals and eliminating signal distortion and noise influence;
the optical fiber encoder is used for physically encoding the optical signal on the basis of different wavelength encoding code elements;
the optical fiber code demodulator is used for decoding the coded optical signal.
Preferably, the embedding the optical fiber physical code with unique code symbol distribution into the optical link of different types/scenes, and marking the optical link, comprises:
carrying out topology classification on the optical link types/scenes, and dividing different optical link types/scenes into a scene A, a scene B and an … … scene n;
according to the topological classification of the optical link type/scene, different optical fiber physical codes are subjected to corresponding topological classification and are divided into a code a, a code b and a … … code n.
Preferably, the topology classifying the optical link types/scenes, and dividing different optical link types/scenes into scene a, scene B, and … … scene n at least include:
the scene A is divided into An optical link A1, An optical link A2 and An optical link An … … according to different optical fiber distributions;
the scene B is in turn divided into optical link B1, optical link B2, … … optical link Bn according to different fiber distributions.
Preferably, the topology classification according to the optical link type/scene performs corresponding topology classification on different optical fiber physical codes, and the topology classification is divided into a code a, a code b, and a … … code n, and at least includes:
according to different optical fiber distributions in the scene A, the optical fiber physical codes are correspondingly divided into codes a1 and codes a2 … …;
and according to different optical fiber distributions in the scene B, dividing optical fiber physical codes into a code B1 and a code B2 … … code bn.
Preferably, the optical fiber physical coding is performed based on a PCS physical coding sublayer, and the PCS sublayer is located between a coordination sublayer (through GMII) and a physical medium access layer (PMA) sublayer;
the type of the optical fiber physical code is any one of NRZ code, NRZI code, MLT-3 code, AMI code, HDB 3code, B3ZS code, B8ZS code, CMI code and Manchester code;
and the interface type is any one of E1, T1, E3, T3, E4, STM-1E, STM-NO, 10Base-T, 100Base-TX, 100Base-FX and 1000 Base-SX/LX.
Preferably, the establishing an overall digital twin model according to the digital signals of the different types/scenes of optical links and the virtual imaging include:
the method comprises the steps of carrying out three-dimensional modeling on physical distribution and a geometric architecture of the all-optical link, carrying out full-digital modeling on the route state, the interface and the transmission information of the all-optical link, and carrying out modeling through any tool of CAD, Matlab, Revit and CATIA.
In order to achieve the above object, a second embodiment of the present invention provides a modeling apparatus for digitizing an all-optical link, including:
an encoding module for embedding and labeling optical fiber physical codes with unique code symbol distribution into optical links of different types/scenes;
a decoding module for receiving optical signals of different types/scenes of optical links and decoding the optical signals into electrical signals;
a collection module for collecting electrical signals of different types/scene optical links and translating the electrical signals into digital signals;
and the modeling module is used for establishing an integral digital twin model according to the digital signals of the different types/scenes of optical links and virtually imaging.
In order to achieve the above object, an embodiment of a third aspect of the present invention provides a modeling apparatus for digitizing an all-optical link, where the modeling apparatus for digitizing the all-optical link is a physical apparatus, and the modeling apparatus for digitizing the all-optical link includes: .
To achieve the above object, a fourth aspect of the present invention provides a computer-readable storage medium, in which a computer program is stored, and the computer program, when executed by a processor, implements the modeling method for all-optical link digitization as described above.
Compared with the prior art, the invention has the beneficial effects that:
optical fiber physical codes with unique coding element distribution are embedded into optical fibers, and classified marking is carried out according to optical links of different types and different use scenes, so that topological marking of optical fiber products is completed, and digitization of the optical fiber products is realized; optical link digital twin models with topological properties of different types and different use scenes are established, optical fiber physical codes are embedded into different types of optical fiber products, digitalization of each component of an optical fiber network is realized, and digitalization of an all-optical link is realized.
Drawings
Fig. 1 is a main flow chart of a modeling method for digitizing an all-optical link according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating specific steps of a modeling method for digitizing an all-optical link according to an embodiment of the present invention;
fig. 3 is a flowchart of a fault detection procedure of an all-optical link digitization model according to another embodiment of the present invention;
fig. 4 is a reverse structure mind diagram of a modeling method for digitizing an all-optical link according to an embodiment of the present invention;
fig. 5 is a block diagram of a modeling apparatus for digitizing an all-optical link according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The main execution body of the method of this embodiment is a terminal, and the terminal may be a device such as a mobile phone, a tablet computer, a PDA, a notebook computer, or a desktop computer, and of course, may also be other devices with similar functions, and this embodiment is not limited.
Example 1
Referring to fig. 1 and fig. 4, the present invention provides a modeling method for all-optical link digitization, which is applied to optical link digitization modeling, and the method at least includes the following steps:
and step 101, embedding the optical fiber physical codes with unique code symbol distribution into optical links of different types/scenes, and marking the optical links.
Specifically, the embedding and marking optical fiber physical codes with unique code symbol distribution into optical links of different types/scenes includes:
carrying out topology classification on the optical link types/scenes, and dividing different optical link types/scenes into a scene A, a scene B and an … … scene n; the scene A is divided into An optical link A1, An optical link A2 and An optical link An … … according to different optical fiber distributions; the scene B is divided into an optical link B1, an optical link B2 and an optical link Bn … … according to different optical fiber distributions; and by analogy, carrying out topology classification.
According to the topological classification of the optical link type/scene, corresponding topological classification is carried out on different optical fiber physical codes, and the optical fiber physical codes are divided into a code a, a code b and a code … … code n; according to different optical fiber distributions in the scene A, the optical fiber physical codes are correspondingly divided into codes a1 and codes a2 … …; according to different optical fiber distributions in the scene B, the optical fiber physical codes are correspondingly divided into codes B1 and B2 … … codes bn; and by analogy, carrying out topology classification.
Electrical signals for the different types/scenes of optical links are collected and translated into digital signals, step 103.
Wherein, in the optical link, at least include:
the optical fiber, the optical receiver, the optical transmitter, the optical repeater, the optical fiber encoder and the optical fiber encoding demodulator;
the optical fiber is used for transmitting optical signals; the optical receiver is used for receiving an optical signal; the optical transmitter is used for transmitting an optical signal; the optical repeater is used for compensating the loss of optical signals and eliminating signal distortion and noise influence; the optical fiber encoder is used for physically encoding the optical signal on the basis of different wavelength encoding code elements; the optical fiber code demodulator is used for decoding the coded optical signal.
Specifically, the optical fiber physical coding is performed based on a PCS physical coding sublayer, which is located between a coordination sublayer (through GMII) and a physical medium access layer (PMA) sublayer; the PCS sublayer performs the function of mapping well-defined ethernet MAC functions to existing coding and physical layer signaling systems. Interfaces of the PCS sublayer and the upper layer RS/MAC are provided by XGMII, and a PMA service interface is used with a lower layer PMA interface; the PCS sublayer is responsible for 8b/10b coding and decoding and CRC (cyclic redundancy check), and integrates elastic buffering responsible for channel binding and clock correction, 8b/10b coding can avoid the situation that a data stream is connected with 0 to 1, and is convenient for clock recovery, P characters are added into the data stream sent by the channel binding to bind a plurality of RockIO channels into a consistent parallel channel, so that the throughput rate of data is improved, at most, the binding of 24 channels is supported, the elastic buffering can solve the problem of inconsistency of a recovered clock and a local clock, and data rate matching is carried out, so that the channel binding is possible, and the configuration of a RockIO module can be carried out in the following two ways: static properties may be set by HDL code; the dynamic properties may be configured through primitive ports of the rockio.
The type of the optical fiber physical code is any one of NRZ code, NRZI code, MLT-3 code, AMI code, HDB 3code, B3ZS code, B8ZS code, CMI code and Manchester code; and the interface type is any one of E1, T1, E3, T3, E4, STM-1E, STM-NO, 10Base-T, 100Base-TX, 100Base-FX and 1000 Base-SX/LX.
The NRZ is a very simple coding mode, binary '0' and '1' are respectively carried out by using 0 potential and 1 point, and the speed is not changed after coding.
NRZI (Non-Return to Zero Inverted code), which is used by the optical interface 100Base-FX, the code does not change the signal rate, NRZI coding rule: if the next input binary bit is '1', the next coded level is the level after the current level jump; if the next input binary bit is "0", the encoded level is consistent with the current, both NRZ and NRZI are unipolar codes, i.e. both have only positive and zero levels, NO negative levels, so there are many dc components in the NRZ and NRZI codes that are not suitable for circuit transmission, and the NRZ and NRZI encoding itself cannot guarantee that NO long-link "0" or long-link "1" is present in the signal, which is detrimental to clock recovery and the interface types are any of E1, T1, E3, T3, E4, STM-1E, STM-NO, 10Base-T, 100Base-TX, 100Base-FX, 1000 Base-SX/LX.
MLT-3, i.e., Multi-Level Transmit-3, multilevel transmission codes, MLT-3 codes are of a bit type with NRZI codes, and are characterized in that the codes jump every "1", stay unchanged every "0", and do not change the signal rate after encoding. If NRZI code is different, MLT-3 is bipolar code, and has three levels of "-1", "0" and "1", after coding, the DC component is greatly reduced, and circuit transmission can be carried out, and 100Base-TX adopts the code type.
MLT-3 encoding rule: if the next input is "0", the level remains unchanged; if the next input is "1", a transition occurs, again in two cases. If the previous output was "+ 1" or "-1", then the next output is "0"; if the previous output is not a "0", its signal polarity is opposite to the last non "0".
AMI, Alternate Mark Inversion, a typical bipolar code, AMI type code HDB3, B3ZS, B8ZS, etc.
AMI coding rule: the input "0" is still 0, and the input "1" is alternately transformed to +1, -1.
HDB3 (High sensitivity Bipolar of order 3 code), third-order High-Density Bipolar code, coding rule: when the original code does not have more than four strings connected with '0', the AMI code is the HDB3 code; when more than four strings of connected 0's exist, the fourth 0 ' is changed into a symbol with the same polarity as the previous non 0's, and the symbol breaks the rule of polarity alternation reversal, so the symbol is called a broken symbol, and is represented by a V symbol (+1 is + V, and-1 is-V), and the adjacent V symbols also need polarity alternation; when the V symbols have odd number of non-0, the alternation can be satisfied, if the V symbols are even number, the alternation can not be satisfied, then the first 0 of the small segment is changed into + B or-B, the B symbol is opposite to the former non-0, and the following non-0 symbols are alternated from the V symbol.
B3ZS, Bipolar with three-level Bipolar code, T3 line, encodes this.
The encoding rules are the same as HDB3, except that the number of possible "0" s is reduced from three to two for HDB3 after encoding.
Code B8 ZS: b8ZS is Bipolar with eigth-zero simulation, eight-order Bipolar code, if there are not 8 or more than 8 connected '0' strings in the source code, then AMI code is B8ZS code, if there are 8 or more than 8 connected '0', 8 '0' is replaced by '000 VB0 VB', other rules are the same as HDB 3code, T1 circuit adopts the code.
CMI Code Mark Inversion, signal Inversion Code; and (3) encoding rules: an input "1" is alternately represented by-1 and +1, and a "0" is represented by a transition in level from-1 to +1, i.e., a rising edge. With this encoding, the E4 and SMT-1E lines have an increased signal rate after encoding, in essence trading bandwidth for transmission characteristics.
Manchester code: the encoding efficiency is low, only 50%, which is the same as CMI, and the transmission characteristic is exchanged by the bandwidth, and the encoding is used by 10 Base-T.
That is, no matter what type/scene of optical link is coded, the optical fiber can be permanently marked and digital management can be realized as long as the optical link is physically coded by a proper coding mode.
And step 104, establishing an integral digital twin model according to the digital signals of the optical links of different types/scenes, and virtually imaging.
Specifically, the digital twinning refers to simulating a physical entity, process or system in the information platform, and twins of a similar entity system in the information platform, and by means of the digital twinning, the state of the optical fiber entity can be known on the all-optical link, even the predefined interface components in the optical link can be controlled, thereby helping the organization to monitor operation, execute predictive maintenance and improve processes, the digital twin technology requires to construct digital representation of physical objects in a digital space, the physical objects in the real world and the twin in the digital space can realize bidirectional mapping, data connection and state interaction, and based on the acquisition of multivariate data such as real-time sensing and the like, the twin can comprehensively, accurately and dynamically reflect the state change of the physical objects, including appearance, performance, position, abnormity and the like, therefore, the information such as the running state of the all-optical link, the transmission trend of the optical link and the like can be monitored in real time by modeling based on the digital twin.
The method comprises the steps of three-dimensional modeling of physical distribution and a geometric architecture of the all-optical link, full-digital modeling of a route state, an interface and transmission information of the all-optical link, and modeling through any tool of CAD, Matlab, Revit and CATIA.
When modeling an all-optical link digital twin model, the model can be built by any tool, and the embodiment of the invention is not particularly limited.
Example 2
In order to better understand the above embodiments, as shown in fig. 2, the present invention further provides a flowchart of specific steps of a modeling method for all-optical link digitization, where the method at least includes:
and step 206, establishing an integral digital twin model according to the digital signals of the different types/scenes of optical links, virtually imaging the integral digital twin model, and performing virtual-real interaction.
In this embodiment, the optical fiber physical code with unique coding element distribution is embedded into the optical fiber, and the optical links of different types and different use scenes are classified and marked, so as to complete the topological marking of the optical fiber product and realize the digitization of the optical fiber product; optical link digital twin models of different types and different use scenes are established, optical fiber physical codes are embedded into optical fiber products of different types, digitalization of each component of an optical fiber network is realized, and accordingly digitalization of an all-optical link is realized.
Example 3
In order to better understand the above embodiments, as shown in fig. 3, the present invention further provides a flowchart of a fault detection step of an all-optical link digital model, which is used for detecting a fault in an optical link through the all-optical link digital model, where the method at least includes:
specifically, the elements in the hash table are determined by a hash function. The key word K of a data element is used as an argument, and a value calculated through a certain functional relationship (called a hash function) is a storage address of the element. Expressed as:
Addr＝H(key)
to this end, two main problems need to be solved before a hash table is built:
constructing a suitable hash function
The values of the uniformity H (key) are uniformly distributed in the hash table;
simply to increase the speed of address calculation
Treatment of the conflict
Conflict: in the hash table, different key values correspond to the same storage location. That is, the keyword K1 ≠ K2, but H (K1) ═ H (K2). A uniform hash function can reduce collisions but cannot avoid collisions. After a conflict occurs, it must be resolved; i.e. the next available address must be found.
The method for solving the conflict comprises the following steps: the method comprises a link method (zipper method), an open addressing method and a barrel addressing method, wherein the problem position is judged by the open addressing method, and the method comprises the following steps:
if h (k) is already occupied, probing according to the following sequence: (h (k) + p (TSize)% TSize, (h (k) + p (ii)% TSize, …, (h (k) + p (i)% TSize, …)
Where h (k) is a hash function, TSize is a hash table length, and p (i) is a probe function. If a conflict is found, a new probe is made using the increment p (i) until no conflict occurs, based on h (k) + p (i-1))% TSize. The open addressing method is further classified into a linear probing method (p (i) ═ i:1,2,3, …), a quadratic probing method (p (i) ^ (1) ^ (i-1) ^ (i +1)/2) ^2, and the probing sequences are sequentially: 1, -1,4, -4,9 …), a random probing method (p (i): random number), a double hash function method (double hash function h (key), and hp (key) if h (key) conflicts, then hp key) is used to obtain the hash address (h (k), h (k) + hp (k), …, h (k) + i hp (k)).
and 307, judging whether a problem exists, if so, returning to the step 302 to continuously search for the problem position, otherwise, ending the fault detection.
Example 4
On the basis of the foregoing embodiment, as shown in fig. 5, the present invention further provides a modeling apparatus for digitizing an all-optical link, which is used for supporting the modeling method for digitizing an all-optical link of the foregoing embodiment, where the modeling apparatus for digitizing an all-optical link includes:
an encoding module for embedding and labeling optical fiber physical codes with unique code symbol distribution into optical links of different types/scenes;
a decoding module for receiving optical signals of different types/scenes of optical links and decoding the optical signals into electrical signals;
a collection module for collecting electrical signals of different types/scene optical links and translating the electrical signals into digital signals;
and the modeling module is used for establishing an integral digital twin model according to the digital signals of the different types/scenes of optical links and virtually imaging.
Further, the modeling apparatus for all-optical link digitization can operate the modeling method for all-optical link digitization, and specific implementation can be referred to a method embodiment, which is not described herein again.
On the basis of the above embodiment, the present invention also provides a computer device, including:
the system comprises a processor and a memory, wherein the processor is in communication connection with the memory;
in this embodiment, the memory may be implemented in any suitable manner, such as: the memory can be a read-only memory, a mechanical hard disk, a solid state disk, a U disk or the like; the memory is used for storing executable instructions executed by at least one processor;
in this embodiment, the processor may be implemented in any suitable manner, for example, the processor may take the form of a microprocessor or processor and a computer-readable medium that stores computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, an embedded microcontroller, and so forth; the processor is configured to execute the executable instructions to implement a modeling method for all-optical link digitization as described above.
On the basis of the above embodiments, the present invention further provides a computer-readable storage medium, in which a computer program is stored, and the computer program, when executed by a processor, implements the modeling method for all-optical link digitization as described above.
Those of ordinary skill in the art will appreciate that the various illustrative modules and method steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses, devices and modules may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus, device and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of modules or units may be combined or integrated into another device, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or apparatuses, and may be in an electrical, mechanical or other form.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module.
The functions may be stored in a computer-readable storage medium if they are implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the present invention or a part thereof, which essentially contributes to the prior art, can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: u disk, removable hard disk, read-only memory server, random access memory server, magnetic disk or optical disk, etc. capable of storing program instructions.
It should be noted that the combination of the features in the present application is not limited to the combination described in the claims or the combination described in the embodiments, and all the features described in the present application may be freely combined or combined in any manner unless contradictory to each other.
It should be noted that the above-mentioned embodiments are only specific examples of the present invention, and obviously, the present invention is not limited to the above-mentioned embodiments, and many similar variations exist. All modifications which can be derived or suggested by the person skilled in the art from the present disclosure are intended to be within the scope of the present invention.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A modeling method for all-optical link digitization is characterized by at least comprising the following steps:
embedding the optical fiber physical code with unique code element distribution into optical links of different types/scenes and marking the optical links;
receiving optical signals of different types/scenes of optical links, and decoding the optical signals into electric signals;
collecting electrical signals of different types/scenes of optical links and translating the electrical signals into digital signals;
and establishing an integral digital twin model according to the digital signals of different types/scene optical links, and virtually imaging.
2. The modeling method for all-optical link digitization according to claim 1, wherein the optical link comprises at least:
the optical fiber, the optical receiver, the optical transmitter, the optical repeater, the optical fiber encoder and the optical fiber encoding demodulator;
the optical fiber is used for transmitting optical signals;
the optical receiver is used for receiving an optical signal;
the optical transmitter is used for transmitting an optical signal;
the optical repeater is used for compensating the loss of optical signals and eliminating signal distortion and noise influence;
the optical fiber encoder is used for physically encoding the optical signal on the basis of different wavelength encoding code elements;
the optical fiber code demodulator is used for decoding the coded optical signal.
3. The modeling method for all-optical link digitization according to claim 2, wherein the embedding and labeling of the optical fiber physical code with unique code symbol distribution into optical links of different types/scenes comprises:
carrying out topology classification on the optical link types/scenes, and dividing different optical link types/scenes into a scene A, a scene B and an … … scene n;
and according to the topological classification of the optical link type/scene, carrying out corresponding topological classification on different optical fiber physical codes, namely a code a, a code b and a code n … ….
4. The modeling method for all-optical link digitization according to claim 3, wherein the topology classification of optical link types/scenes, the separation of different optical link types/scenes into scene A, scene B, and … … scene n, comprises at least:
the scene A is divided into An optical link A1, An optical link A2 and An optical link An … … according to different optical fiber distributions;
the scene B is in turn divided into optical link B1, optical link B2, … … optical link Bn according to different fiber distributions.
5. The modeling method for all-optical link digitization according to claim 3, wherein the corresponding topological classification of different optical fiber physical codes according to the topological classification of optical link types/scenes is divided into code a, code b, and … … code n, and at least comprises:
according to different optical fiber distributions in the scene A, the optical fiber physical codes are correspondingly divided into codes a1 and codes a2 … …;
and according to different optical fiber distributions in the scene B, dividing optical fiber physical codes into a code B1 and a code B2 … … code bn.
6. The modeling method for all-optical link digitization according to claim 1, wherein the fiber physical coding is based on a PCS physical coding sublayer, which is located between a coordination sublayer (via GMII) and a physical medium access layer (PMA) sublayer;
the type of the optical fiber physical code is any one of NRZ code, NRZI code, MLT-3 code, AMI code, HDB 3code, B3ZS code, B8ZS code, CMI code and Manchester code;
and the interface type is any one of E1, T1, E3, T3, E4, STM-1E, STM-NO, 10Base-T, 100Base-TX, 100Base-FX and 1000 Base-SX/LX.
7. The modeling method for all-optical link digitization according to claim 1, wherein the building of an overall digital twin model from digital signals of different types/scenes of optical links and virtual imaging comprises:
the method comprises the steps of carrying out three-dimensional modeling on physical distribution and a geometric architecture of the all-optical link, carrying out full-digital modeling on the route state, the interface and the transmission information of the all-optical link, and carrying out modeling through any tool of CAD, Matlab, Revit and CATIA.
8. An all-optical link digitization modeling apparatus, comprising:
an encoding module for embedding and labeling optical fiber physical codes with unique code symbol distribution into optical links of different types/scenes;
a decoding module for receiving optical signals of different types/scenes of optical links and decoding the optical signals into electrical signals;
a collection module for collecting electrical signals of different types/scene optical links and translating the electrical signals into digital signals;
and the modeling module is used for establishing an integral digital twin model according to the digital signals of the different types/scenes of optical links and virtually imaging.
9. A computer device, characterized in that the computer device comprises:
the system comprises a processor and a memory, wherein the processor and the memory are in communication connection with the processor;
the memory is used for storing executable instructions executed by at least one processor, and the processor is used for executing the executable instructions to realize the modeling method for all-optical link digitization according to any one of claims 1-7.
10. A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, which computer program, when being executed by a processor, implements the method for modeling the digitization of an all-optical link according to any one of claims 1 to 7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115483982A (en) * | 2022-08-30 | 2022-12-16 | 西北核技术研究所 | Analog optical link input signal measuring method and device |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102035599A (en) * | 2010-12-01 | 2011-04-27 | 苏州新海宜通信科技股份有限公司 | FTTH passive optical link monitoring system and method |
| CN110492186A (en) * | 2019-07-02 | 2019-11-22 | 北京航空航天大学 | A kind of management method of the power battery module based on cloud control technology |
| CN110752871A (en) * | 2018-12-05 | 2020-02-04 | 中兴通讯股份有限公司 | Optical link diagnostic method, and corresponding device and storage medium |
| CN111654323A (en) * | 2019-03-04 | 2020-09-11 | 国网山西省电力公司信息通信分公司 | Intelligent optical link operation and maintenance management method and device |
| US20220027051A1 (en) * | 2017-03-10 | 2022-01-27 | Pure Storage, Inc. | Data Path Virtualization |
-
2022
- 2022-04-25 CN CN202210443117.1A patent/CN114900230A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102035599A (en) * | 2010-12-01 | 2011-04-27 | 苏州新海宜通信科技股份有限公司 | FTTH passive optical link monitoring system and method |
| US20220027051A1 (en) * | 2017-03-10 | 2022-01-27 | Pure Storage, Inc. | Data Path Virtualization |
| CN110752871A (en) * | 2018-12-05 | 2020-02-04 | 中兴通讯股份有限公司 | Optical link diagnostic method, and corresponding device and storage medium |
| CN111654323A (en) * | 2019-03-04 | 2020-09-11 | 国网山西省电力公司信息通信分公司 | Intelligent optical link operation and maintenance management method and device |
| CN110492186A (en) * | 2019-07-02 | 2019-11-22 | 北京航空航天大学 | A kind of management method of the power battery module based on cloud control technology |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115483982A (en) * | 2022-08-30 | 2022-12-16 | 西北核技术研究所 | Analog optical link input signal measuring method and device |
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