CN109639346A - BOSA calibration method, test terminal and readable storage medium storing program for executing - Google Patents

BOSA calibration method, test terminal and readable storage medium storing program for executing Download PDF

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Publication number
CN109639346A
CN109639346A CN201811567126.1A CN201811567126A CN109639346A CN 109639346 A CN109639346 A CN 109639346A CN 201811567126 A CN201811567126 A CN 201811567126A CN 109639346 A CN109639346 A CN 109639346A
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bosa
luminous parameters
value
register value
prediction model
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CN109639346B (en
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陈刚
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Shenzhen Skyworth Digital Technology Co Ltd
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Shenzhen Skyworth Digital Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B10/00Transmission systems employing electromagnetic waves other than radio-waves, e.g. infrared, visible or ultraviolet light, or employing corpuscular radiation, e.g. quantum communication
    • H04B10/07Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems
    • H04B10/073Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems using an out-of-service signal
    • H04B10/0731Testing or characterisation of optical devices, e.g. amplifiers

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  • Electromagnetism (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Optical Communication System (AREA)

Abstract

The invention discloses a kind of BOSA calibration methods, comprising: according to the batch number of passive optical-fiber network PON product, establishes the corresponding light emitting receiving unit BOSA luminous parameters prediction model of each batch number;The batch number of PON product to be measured is obtained, and according to the batch number of PON product to be measured, obtains corresponding BOSA luminous parameters prediction model;According to register value and corresponding luminous parameters predicted value in the BOSA luminous parameters prediction model of acquisition, the BOSA luminous parameters of the PON product to be measured are calibrated.The present invention also provides a kind of test terminal and computer readable storage mediums.The present invention solves the problems, such as the prior art, and using traversal, that there are testing efficiencies is low.

Description

BOSA calibration method, test terminal and readable storage medium storing program for executing
Technical field
The present invention relates to optical communication field more particularly to BOSA calibration methods, test terminal and computer-readable storage medium Matter.
Background technique
In PON (Passive Optical Network, passive optical-fiber network) product manufacturing process, in order to guarantee product The BOSA (Bi-Directional Optical Sub-Assembly, light emitting receiving unit) of quality, each product passes through It could offline factory after test confirmation.BOSA calibration test time-consuming accounting in entire PON product manufacturing process is maximum, and BOSA calibration needs to use the high values test equipment such as oscillograph, power meter, attenuator and Error Detector, and BOSA calibration time-consuming is got over Long, also longer to the occupancy of test equipment, production cost also increases accordingly.
Current existing technology uses traversal, i.e. all register values of calibration parameter are influenced in acquisition BOSA, from posting The minimum value of storage is sequentially adjusted in maximum value, and register value of every adjustment requires cooperation test equipment and measures PON to be measured The calibration parameter value of the BOSA of product, until the parameter value of calibration is adjusted to target zone, but when testing in this way Between it is longer, testing efficiency is low, long to the holding time of test equipment,.
Above content is only used to facilitate the understanding of the technical scheme, and is not represented and is recognized that above content is existing skill Art.
Summary of the invention
The main purpose of the present invention is to provide a kind of BOSA calibration method, test terminal and computer-readable storage mediums Matter, it is intended to solve the prior art technical problem low there are testing efficiency using traversal.
To achieve the above object, the application provides a kind of BOSA calibration method, comprising steps of
According to the batch number of passive optical-fiber network PON product, the corresponding light emitting receiving unit of each batch number is established BOSA luminous parameters prediction model;
The batch number of PON product to be measured is obtained, and according to the batch number of PON product to be measured, obtains corresponding BOSA and shines Parametric prediction model;
According to register value and corresponding luminous parameters predicted value in the BOSA luminous parameters prediction model of acquisition, to described The BOSA luminous parameters of PON product to be measured are calibrated.
Optionally, the batch number according to passive optical-fiber network PON product establishes the corresponding light emitting of each batch number The step of receiving unit BOSA luminous parameters prediction model includes:
The batch number of PON exemplar is obtained, and obtains each register value and each register value pair of BOSA in the PON exemplar The luminous parameters value answered;
Luminous parameters value of the selection in preset range, and select the luminous parameters value in preset range corresponding Register value;
According to the luminous parameters value in preset range and in the corresponding register of luminous parameters value in preset range Value fits the relation function of register value and luminous parameters value, and sends out the function as the corresponding BOSA of the batch number Optical parameter prediction model.
Optionally, each register value and the corresponding luminous ginseng of each register value for obtaining BOSA in the PON exemplar The step of numerical value includes:
Obtain each register value of BOSA in the PON exemplar;
According to each register value, the corresponding luminous parameters value of each register value is measured.
Optionally, the batch number according to passive optical-fiber network PON product establishes the corresponding light emitting of each batch number After receiving unit BOSA luminous parameters prediction model step further include:
The corresponding BOSA luminous parameters prediction model of each batch number is sent to server, so that server is according to batch Number corresponding BOSA luminous parameters prediction model of storage;
According to the batch number of PON product to be measured, the step of obtaining corresponding BOSA luminous parameters prediction model, includes:
The acquisition prediction model for sending the batch number including PON product to be measured is requested to server, so that the service Device feeds back corresponding BOSA luminous parameters prediction according to the batch number for obtaining the PON product to be measured in prediction model request is received Model.
Optionally, register value and corresponding luminous parameters are pre- in the BOSA luminous parameters prediction model according to acquisition Measured value, the step of calibrating to the BOSA luminous parameters of the PON product to be measured include:
A register value is chosen from the register value value range of the BOSA luminous parameters prediction model of acquisition;
According to the BOSA luminous parameters prediction model of the register value of selection and acquisition, luminous parameters predicted value is obtained;
According to the register value of selection, the corresponding luminous parameters actual value of the register value is measured;
According to the corresponding luminous parameters actual value of the register value of the luminous parameters predicted value and selection, to described to be measured The BOSA luminous parameters of PON product are calibrated.
Optionally, described according to the register value of selection and the BOSA luminous parameters prediction model of acquisition, obtain the ginseng that shines Number predicted value the step of include:
In the BOSA luminous parameters prediction model that the register value input of selection is obtained, the BOSA for obtaining acquisition, which shines, to join The luminous parameters predicted value of number prediction model output.
Optionally, the corresponding luminous parameters of the register value according to the luminous parameters predicted value and selection are practical Value, the step of calibrating to the BOSA luminous parameters of the PON product to be measured include:
Calculate the difference of the register value corresponding luminous parameters actual value and the luminous parameters predicted value chosen;
Judge whether the difference is in preset threshold range;
When the difference is in the preset threshold range, determine that calibration is completed.
Optionally, it is described judge the step whether difference is in preset threshold range after further include:
When the difference is not in the preset threshold range, a register value is chosen again;
Judge the difference for the register value corresponding luminous parameters measured value and the luminous parameters predicted value that gravity treatment is chosen Whether in the preset threshold range;
At the difference of the gravity treatment corresponding luminous parameters measured value of register value chosen and the luminous parameters predicted value When in the preset threshold range, determine that calibration is completed;
When gravity treatment choose the corresponding luminous parameters measured value of register value and the luminous parameters predicted value difference not It when in the preset threshold range, returns and executes the step of choosing a register value again, until that chooses again posts Difference between the corresponding luminous parameters actual value of storage value and the luminous parameters predicted value is in the preset threshold range Until.
In addition, to achieve the above object, the present invention also provides a kind of test terminal, the test terminal includes: communication mould Block, memory, processor and it is stored in the computer program that can be run on the memory and on the processor, the meter Calculation machine program realizes the step of BOSA calibration method as described above when being executed by the processor.
In addition, to achieve the above object, it is described computer-readable the present invention also provides a kind of computer readable storage medium Computer program is stored on storage medium, the computer program realizes BOSA calibration as described above when being executed by processor The step of method.
A kind of BOSA calibration method, test terminal and the computer readable storage medium that the embodiment of the present invention proposes, pass through According to the batch number of passive optical-fiber network PON product, establishes the corresponding light emitting receiving unit BOSA of each batch number and shine and join Number prediction model;The batch number of PON product to be measured is obtained, and according to the batch number of PON product to be measured, obtains corresponding BOSA hair Optical parameter prediction model;It is predicted according to register value in the BOSA luminous parameters prediction model of acquisition and corresponding luminous parameters Value, calibrates the BOSA luminous parameters of the PON product to be measured.Without from minimum register value be sequentially adjusted in Maximum register value, it is only necessary to according to the luminous parameters prediction model having built up, choose register value, can shine to BOSA Parameter is calibrated, and is greatly reduced the time of BOSA calibration, is improved testing efficiency.
Detailed description of the invention
Fig. 1 is the structural schematic diagram for the hardware running environment that the embodiment of the present invention is related to;
Fig. 2 is the flow diagram of BOSA calibration method first embodiment of the present invention;
Fig. 3 is the refinement flow diagram of step S10 in BOSA calibration method second embodiment of the present invention;
Fig. 4 is the refinement flow diagram of step S30 in BOSA calibration method 3rd embodiment of the present invention.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
Fig. 1 is please referred to, Fig. 1 is the hardware structural diagram of test terminal provided in each embodiment of the present invention, institute Stating test terminal includes the components such as communication module 10, memory 20 and processor 30.It will be understood by those skilled in the art that Fig. 1 Shown in test terminal can also include perhaps combining certain components or difference than illustrating more or fewer components Component layout.Wherein, the processor 30 is connect with the memory 20 and the communication module 10 respectively, the memory Computer program is stored on 20, the computer program is executed by processor 30 simultaneously.
Communication module 10 can be connect by network with external equipment.Communication module 10 can receive external equipment sending Data, also transmittable data, instruction and information to the external equipment.The external equipment can be PON product to be measured, service Device and the electronic equipments such as various test equipments and monitoring device.
Memory 20 can be used for storing software program and various data.Memory 20 can mainly include storing program area The storage data area and, wherein storing program area can (such as the school of application program needed for storage program area, at least one function Quasi- BOSA luminous parameters) etc.;Storage data area, which can be stored, uses created data or information etc. according to test terminal.This Outside, memory 20 may include high-speed random access memory, can also include nonvolatile memory, for example, at least a magnetic Disk storage device, flush memory device or other volatile solid-state parts.
Processor 30 is the control centre for testing terminal, entirely tests each of terminal using various interfaces and connection A part by running or execute the software program and/or module that are stored in memory 20, and calls and is stored in memory Data in 20 execute the various functions and processing data of test terminal, to carry out integral monitoring to test terminal.Processor 30 may include one or more processing units;Preferably, processor 30 can integrate application processor and modem processor, In, the main processing operation system of application processor, user interface and application program etc., modem processor are mainly handled wirelessly Communication.It is understood that above-mentioned modem processor can not also be integrated into processor 30.
Although Fig. 1 is not shown, above-mentioned test terminal can also include circuit control module, real for being electrically connected with city Existing power supply control, guarantees the normal work of other component.
It will be understood by those skilled in the art that the limit of test terminal structure not structure pairwise testing terminal shown in Fig. 1 It is fixed, it may include perhaps combining certain components or different component layouts than illustrating more or fewer components.
According to above-mentioned hardware configuration, each embodiment of the method for the present invention is proposed.
Referring to Fig. 2, in the first embodiment of BOSA calibration method of the present invention, the BOSA calibration method comprising steps of
Step S10 establishes the corresponding light emitting of each batch number and connects according to the batch number of passive optical-fiber network PON product Receive component BOSA luminous parameters prediction model;
In the present solution, test terminal for control testing process, transmit and receive data and the various instruments of control or to The function that PON product execution specific command is completed to need is surveyed (such as to measure, adjustment power, adjustment decaying, open and close laser Deng), test terminal and test equipment or PON product to be measured all passes through serial ports or IP network connects, test equipment with it is to be measured It is connected between PON product by optical fiber or other signal wires.BOSA includes driver, laser and optical receiver, wherein driver Including chip, each register value is stored in chip, driver adjusts laser, light connects according to the register value in chip The underlying parameter value of all parts such as device is received, so as to adjust each running parameter of entire BOSA, such as: luminous power, delustring Than, received optical power etc..
Test terminal has initially set up the BOSA luminous parameters prediction model of each batch number, and wherein batch number is PON production The batch number of product.A kind of corresponding BOSA luminous parameters prediction model of each batch number.Since BOSA luminous parameters include hair Optical power and extinction ratio test terminal during establishing BOSA luminous parameters prediction model, are the hairs for establishing BOSA respectively The prediction model of the extinction ratio of the prediction model and BOSA of optical power.That is there are corresponding BOSA for each batch number The prediction model and BOSA extinction ratio prediction model of luminous power.
Step S20 obtains the batch number of PON product to be measured, and according to the batch number of PON product to be measured, obtains corresponding BOSA luminous parameters prediction model;
After test terminal establishes BOSA luminous parameters prediction model, test terminal can be by scanning PON product to be measured On two dimensional code can also be by the batch number input test of PON product to be measured to obtain the batch number that is stored in two dimensional code In terminal.
After acquisition needs to calibrate the batch number of PON product to be measured of BOSA, corresponding hair is obtained according to the batch number Optical parameter prediction model.The acquisition prediction model that test terminal can send the batch number comprising PON product to be measured is requested to taking Business device, after the server is requested according to the acquisition prediction model for receiving the batch number comprising PON product to be measured, according to batch Number inquiry storage corresponding BOSA luminous parameters prediction model of the batch number in the server, and the BOSA inquired is shone ginseng Number prediction model feedback can test terminal.Such as when the luminous parameters for needing to calibrate are luminous power, server is being received After obtaining prediction model request, corresponding luminous power prediction model can be inquired according to batch number.It is pre- to obtain BOSA luminous parameters The process for surveying model can also be stored in test terminal in the corresponding BOSA luminous power prediction model of each batch number of foundation In the case of, corresponding BOSA luminous power prediction model is directly directly acquired from test terminal by batch number.
It should be noted that test terminal obtains corresponding BOSA luminous parameters according to the PON product batches number to be measured Before prediction model, it can also determine whether there are the corresponding BOSA luminous parameters prediction model of the PON product batches number to be measured, If it is determined that not having, then using the PON product to be measured as the exemplar of the batch number, it is corresponding that the batch number is established using the exemplar BOSA luminous parameters prediction model.
Step S30 is predicted according to register value in the BOSA luminous parameters prediction model of acquisition and corresponding luminous parameters Value, calibrates the BOSA luminous parameters of the PON product to be measured.
After testing terminal acquisition BOSA luminous parameters prediction model, according to register in the BOSA luminous parameters prediction model Value and corresponding luminous parameters predicted value, calibrate the BOSA luminous parameters of PON product to be measured.Such as it is shone according to BOSA A register value and corresponding luminous parameters predicted value in parametric prediction model shine to the BOSA of PON product to be measured and join Number is calibrated, can also be according to the multiple register values and corresponding multiple luminous parameters in BOSA luminous parameters prediction model Predicted value calibrates the BOSA luminous parameters of PON product to be measured.
The present embodiment establishes the corresponding light hair of each batch number by the batch number according to passive optical-fiber network PON product Penetrate receiving unit BOSA luminous parameters prediction model;The batch number of PON product to be measured is obtained, and according to batch of PON product to be measured Secondary number, obtain corresponding BOSA luminous parameters prediction model;According to register value in the BOSA luminous parameters prediction model of acquisition With corresponding luminous parameters predicted value, the BOSA luminous parameters of the PON product to be measured are calibrated.Without from most Small register value is sequentially adjusted in maximum register value, it is only necessary to according to the BOSA luminous parameters prediction model having built up, The register value range of prediction model carries out value, can calibrate to BOSA luminous parameters, greatly reduce the school BOSA The quasi- time, improve testing efficiency.
Further, referring to Fig. 3, propose that the application BOSA is calibrated according to the first embodiment of the application BOSA calibration method The second embodiment of method, in the present embodiment, the step S10 includes:
Step S11, obtains the batch number of PON exemplar, and obtains each register value of BOSA in the PON exemplar;
Step S12 measures the corresponding luminous parameters value of each register value according to each register value;
Step S13, luminous parameters value of the selection in preset range, and select the luminous parameters in preset range It is worth corresponding register value;
Step S14 is corresponded to according to the luminous parameters value in preset range and in luminous parameters value in preset range Register value, fit the relation function of register value and luminous parameters value, and corresponding using the function as the batch number BOSA luminous parameters prediction model.
In the present solution, randomly selecting a PON product as the batch number from every a batch of all PON products PON exemplar obtains the PON exemplar related with the luminous parameters calibrated by the databook according to the BOSA of PON exemplar Each register value of middle BOSA.For example, can obtain has with luminous power and with extinction ratio respectively by the databook of BOSA The register value range of pass, register value range related with luminous power and register value range related with extinction ratio may It is identical may also be different.
After obtaining related with luminous parameters register value range, test terminal control PON exemplar be sequentially adjusted in from Register range minimum value related with luminous parameters measures the luminous ginseng of PON exemplar under each register value to maximum value Numerical value, and each luminous parameters value is recorded, according to preset range, from selection in each luminous parameters value of record in preset range Each luminous parameters value and the corresponding register value of each luminous parameters value in preset range.Each according to selection shines Parameter value and corresponding register value, fit the relation function Y=F (X) of register value and luminous parameters value, and X represents deposit Device value, Y represent luminous parameters value.Using the function as the corresponding BOSA luminous parameters prediction model of the batch number of PON exemplar.Example It such as controls PON exemplar and is sequentially adjusted in register value related with luminous power from minimum value to maximum value, while utilizing optical power The luminous power for measuring PON exemplar under each register value of measurement, according to preset emission power bracket, the hair that is obtained from measurement Each luminous power value and corresponding register value of the selection in preset range, the hair selected according to these in optical power value Optical power value and register value fit the relation function Y=F (X) of register value and luminous power, and wherein X is register value, Y represents luminous power, using the relation function as the corresponding luminous power prediction model of PON exemplar batch number.
After luminous parameters prediction model is established, by the corresponding BOSA luminous parameters prediction model of the batch number of PON exemplar Be sent to server, server stores corresponding BOSA luminous parameters prediction model according to batch number.
It should be noted that test terminal can also store corresponding BOSA luminous parameters prediction model according to batch number.
The present embodiment proposes a kind of strategy for establishing the corresponding BOSA luminous parameters prediction model of each batch number, with a batch Secondary number PON product can use same BOSA luminous parameters prediction model and carry out luminous parameters calibration, does not need each PON and produces Product all establish a BOSA luminous parameters prediction model.
Further, referring to Fig. 4, propose that the application BOSA is calibrated according to the first embodiment of the application BOSA calibration method The 3rd embodiment of method, in the present embodiment, the step S40 includes:
Step S31 chooses a deposit from the register value value range of the BOSA luminous parameters prediction model of acquisition Device value;
Step S32 obtains acquisition in the BOSA luminous parameters prediction model of the register value input acquisition of selection The luminous parameters predicted value of BOSA luminous parameters prediction model output;
Step S33 measures the corresponding luminous parameters actual value of the register value according to the register value of selection, and counts Calculate the difference of the register value corresponding luminous parameters actual value and the luminous parameters predicted value chosen;
Step S34, judges whether the difference is in preset threshold range;
Step S35 determines that calibration is completed when the difference is in the preset threshold range.
In the present solution, the register value value range of the corresponding BOSA luminous parameters prediction model of different batches number may It is identical may not also be identical, luminous power prediction model in the corresponding BOSA luminous parameters prediction model of same batch number and The register value value range of extinction ratio prediction model can be the same or different.It is chosen out of register value value range One register value, can randomly select, and can also choose the median of value range, can also be according to previous experiences or history Data select an optimal register value out of value range.
The register value of selection is inputted in BOSA luminous parameters prediction model, the BOSA luminous parameters prediction model meeting A luminous parameters predicted value is exported, which can be as the target value of the calibration of PON product to be measured.
The register value of selection is written in the chip of the BOSA of PON product to be measured, measures BOSA under the register value Luminous parameters actual value.Calculate the difference between luminous parameters predicted value and luminous parameters actual value.When difference is in default threshold When value range (generally [- 0.5,0.5]) is interior, BOSA qualification is determined, to terminate the calibration of the PON product.
The present embodiment proposes a kind of by calculating the luminous parameters prediction obtained based on BOSA luminous parameters prediction model The difference of value and luminous parameters measured value carries out the strategy of BOSA luminous parameters calibration;To be sent out in the BOSA of PON product to be measured During optical parameter is calibrated, it is only necessary to choose a register value, and measure the corresponding luminous parameters of the primary register value It can complete to calibrate, prover time is short, greatly improves the testing efficiency of PON product.
Further, the of the application BOSA calibration method is proposed according to the first embodiment of the application BOSA calibration method Four embodiments, in the present embodiment, after the step S34 further include:
Step S36 chooses a register value when the difference is not in the preset threshold range again;
Step S37 judges the corresponding luminous parameters measured value of register value and luminous parameters prediction that gravity treatment is chosen Whether the difference of value is in the preset threshold range;
Step S38, when the corresponding luminous parameters measured value of register value that gravity treatment is chosen and the luminous parameters predicted value Difference when being in the preset threshold range, determine that calibration is completed;
Step S39, when the corresponding luminous parameters measured value of register value that gravity treatment is chosen and the luminous parameters predicted value Difference when being not in the preset threshold range, return and execute the step of choosing a register value again, until described Again the difference between the corresponding luminous parameters actual value of the register value chosen and the luminous parameters predicted value is in described pre- If until in threshold range.
In the present solution, also setting the second preset threshold range in addition to setting preset threshold range and third being default Threshold range is in the second preset threshold model according to the difference when the difference is not in the preset threshold range It encloses and is within the scope of third predetermined threshold value, reselect register value according to different methods;Such as preset threshold range For [- 0.5 ,+0.5], the second preset threshold range be [- 0.6, -05) and (+0.5 ,+0.6), third predetermined threshold value range for [- 1.0, -0.6) and (+0.6 ,+1.0].When the difference is in the second preset threshold range, posted choose first time Storage value increases or subtracts the minimum change unit an of register value, the register value chosen as second.When in the When in three preset threshold ranges, can the register value that first chooses be added or be subtracted each other with preset value, obtain second of selection Register value, which is far longer than the minimum change unit of register value, if the difference is positive number, can will for the first time The register value and preset value of selection subtract each other, if negative, then can subtract each other the register value and preset value that first time is chosen.
Again after choosing register value, the register value chosen again is written to the core of the BOSA of PON product to be measured again In piece, the register value of write-in for the first time is replaced, it is practical to measure luminous parameters of the BOSA under the register value chosen again Value.
The corresponding luminous parameters measured value of register value and luminous parameters prediction that the gravity treatment is chosen are judged again Whether the difference of value is in the preset threshold range, when the corresponding luminous parameters of register value that the gravity treatment is chosen When the difference of measured value and the luminous parameters predicted value is in the preset threshold range, it is determined that calibration is completed;Work as institute When stating difference and being still not in the preset threshold range, register value is chosen further according to the size of the difference third time, until arriving The difference reselected between the corresponding luminous parameters actual value of register value and the luminous parameters predicted value is in described Until in preset threshold range.
Present embodiments provide the register value that a kind of first time is chosen calibrated not up to require after readjust and post The strategy of storage value calibration.To choose the not up to required effect of register value calibration for the first time, do not need to prediction mould Type is modified or re-establishes new prediction model, it is only necessary to which choosing register value again just can be carried out BOSA luminous parameters school It is quasi-.
The present invention also proposes a kind of computer readable storage medium, is stored thereon with computer program.The computer can Reading storage medium can be the memory 20 in the test terminal of Fig. 1, be also possible to as ROM (Read-Only Memory, it is read-only Memory)/RAM (Random Access Memory, random access memory), magnetic disk, at least one of CD, the meter Calculation machine readable storage medium storing program for executing includes that several information are used so that server executes method described in each embodiment of the present invention.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row His property includes, so that the process, method, article or the system that include a series of elements not only include those elements, and And further include other elements that are not explicitly listed, or further include for this process, method, article or system institute it is intrinsic Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do There is also other identical elements in the process, method of element, article or system.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases The former is more preferably embodiment.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills Art field, is included within the scope of the present invention.

Claims (10)

1. a kind of BOSA calibration method, which is characterized in that comprising steps of
According to the batch number of passive optical-fiber network PON product, the corresponding light emitting receiving unit BOSA hair of each batch number is established Optical parameter prediction model;
The batch number of PON product to be measured is obtained, and according to the batch number of PON product to be measured, obtains corresponding BOSA luminous parameters Prediction model;
According to register value and corresponding luminous parameters predicted value in the BOSA luminous parameters prediction model of acquisition, to described to be measured The BOSA luminous parameters of PON product are calibrated.
2. BOSA calibration method as described in claim 1, which is characterized in that described according to passive optical-fiber network PON product Batch number, the step of establishing each batch number corresponding light emitting receiving unit BOSA luminous parameters prediction model include:
The batch number of PON exemplar is obtained, and it is corresponding to obtain each register value of BOSA and each register value in the PON exemplar Luminous parameters value;
Luminous parameters value of the selection in preset range, and select the corresponding deposit of luminous parameters value in preset range Device value;
According to the luminous parameters value in preset range and in the corresponding register value of luminous parameters value in preset range, intend The relation function of register value and luminous parameters value is closed out, and using the function as the corresponding BOSA luminous parameters of the batch number Prediction model.
3. BOSA calibration method as claimed in claim 2, which is characterized in that BOSA's is each in the acquisition PON exemplar The step of register value and each register value corresponding luminous parameters value includes:
Obtain each register value of BOSA in the PON exemplar;
According to each register value, the corresponding luminous parameters value of each register value is measured.
4. BOSA calibration method as described in claim 1, which is characterized in that described according to passive optical-fiber network PON product Batch number is established after the corresponding light emitting receiving unit BOSA luminous parameters prediction model step of each batch number further include:
The corresponding BOSA luminous parameters prediction model of each batch number is sent to server, so that server is deposited according to batch number Store up corresponding BOSA luminous parameters prediction model;
According to the batch number of PON product to be measured, the step of obtaining corresponding BOSA luminous parameters prediction model, includes:
The acquisition prediction model for sending the batch number including PON product to be measured is requested to server, so that the server root Corresponding BOSA luminous parameters prediction mould is fed back according to the batch number for obtaining the PON product to be measured in prediction model request is received Type.
5. BOSA calibration method as claimed in claim 4, which is characterized in that described to be predicted according to the BOSA luminous parameters of acquisition Register value and corresponding luminous parameters predicted value in model, calibrate the BOSA luminous parameters of the PON product to be measured The step of include:
A register value is chosen from the register value value range of the BOSA luminous parameters prediction model of acquisition;
According to the BOSA luminous parameters prediction model of the register value of selection and acquisition, luminous parameters predicted value is obtained;
According to the register value of selection, the corresponding luminous parameters actual value of the register value is measured;
According to the corresponding luminous parameters actual value of the register value of the luminous parameters predicted value and selection, to the PON to be measured The BOSA luminous parameters of product are calibrated.
6. BOSA calibration method as claimed in claim 5, which is characterized in that the register value according to selection and acquisition BOSA luminous parameters prediction model, obtain luminous parameters predicted value the step of include:
In the BOSA luminous parameters prediction model that the register value input of selection is obtained, the BOSA luminous parameters for obtaining acquisition are pre- Survey the luminous parameters predicted value of model output.
7. BOSA calibration method as claimed in claim 6, which is characterized in that described according to the luminous parameters predicted value and choosing The corresponding luminous parameters actual value of the register value taken, the step that the BOSA luminous parameters of the PON product to be measured are calibrated Suddenly include:
Calculate the difference of the register value corresponding luminous parameters actual value and the luminous parameters predicted value chosen;
Judge whether the difference is in preset threshold range;
When the difference is in the preset threshold range, determine that calibration is completed.
8. BOSA calibration method as claimed in claim 7, which is characterized in that described to judge whether the difference is in default threshold After being worth the step in range further include:
When the difference is not in the preset threshold range, a register value is chosen again;
Judge gravity treatment choose the corresponding luminous parameters measured value of register value and the luminous parameters predicted value difference whether In the preset threshold range;
When the difference of the gravity treatment corresponding luminous parameters measured value of register value chosen and the luminous parameters predicted value is in institute When stating in preset threshold range, determine that calibration is completed;
When the difference of the gravity treatment corresponding luminous parameters measured value of register value chosen and the luminous parameters predicted value is not at It when in the preset threshold range, returns and executes the step of choosing a register value again, until the register chosen again It is worth until the difference between corresponding luminous parameters actual value and the luminous parameters predicted value is in the preset threshold range.
9. a kind of test terminal, which is characterized in that the test terminal includes: communication module, memory, processor and is stored in On the memory and the computer program that can run on the processor, the computer program are executed by the processor The step of Shi Shixian such as BOSA calibration method described in any item of the claim 1 to 8.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium Program realizes such as BOSA calibration method described in any item of the claim 1 to 8 when the computer program is executed by processor The step of.
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