CN117040625B

CN117040625B - 5G-based noise control method and system for optical fiber distribution system

Info

Publication number: CN117040625B
Application number: CN202311247106.7A
Authority: CN
Inventors: 周云飞; 陈政贵; 陈庆洪; 王俊; 林立新
Original assignee: Fujian Jinshi Electronics Co ltd
Current assignee: Fujian Jinshi Electronics Co ltd
Priority date: 2023-09-26
Filing date: 2023-09-26
Publication date: 2023-12-08
Anticipated expiration: 2043-09-26
Also published as: CN117040625A

Abstract

The application relates to a 5G-based optical fiber distribution system noise control method and a system, which relate to the technical field of optical fiber distribution systems and comprise the following steps: acquiring equipment use condition information and calling corresponding equipment use type information, equipment use numerical values and equipment use position points; analyzing and processing the equipment use type information and the equipment use number value to form a system noise coefficient predicted value; analyzing and calculating the difference between the system noise coefficient predicted value and the system noise coefficient reference value and taking the difference as a system noise coefficient adjustment value; analyzing and processing the equipment use numerical value and the equipment use position point to form an equipment use adjustment influence value; and analyzing and processing the system noise coefficient adjustment value and the equipment use adjustment influence value to form system noise coefficient adjustment information and outputting the system noise coefficient adjustment information. The application has the effect of making the noise coefficient not easy to be excessively large when the coverage area is improved.

Description

5G-based noise control method and system for optical fiber distribution system

Technical Field

The application relates to the technical field of optical fiber distribution systems, in particular to a 5G-based optical fiber distribution system noise control method and system.

Background

The optical fiber distribution system is a technology for transmitting digital or analog signals from one place to another place by utilizing the transmission effect of light, and has the advantages of low loss, high speed, long distance and the like based on the transmission mode of the optical signals through optical fibers, so that the optical fiber distribution system is widely applied to the fields of 5G technical networks, televisions, broadcasting and the like.

In the related art, in the use process of the optical fiber distribution system based on the 5G technology network, the optical fiber distribution system uses optical fibers as a unified transmission medium to carry out networking, so that the services of distributed coverage, fixed network and the like of the 5G mobile communication signals are transmitted. The optical fiber distribution system comprises a baseband unit, a near-end unit and a plurality of far-end units. The downlink of the optical fiber distribution system is that a baseband unit is used for accessing signals of a base station into the system, then the signals are digitally processed and packaged, the signals are transmitted to a near-end unit through an optical fiber, the near-end unit processes the signals transmitted by the baseband unit and then transmits the processed signals to a far-end unit through the optical fiber, and the far-end unit amplifies the signals transmitted by the near-end unit and then transmits the amplified signals to a user through an antenna. The uplink of the optical fiber distribution system is that the far-end unit receives the information of the user, then carries out signal processing and transmits the information to the near-end unit through the optical fiber, the near-end unit carries out digital processing and packaging on the signals transmitted by all the far-end units, then transmits the signals to the baseband unit through the optical fiber, and the baseband unit packages and restores the digital signals of the near-end unit and transmits the digital signals back to the base station.

With respect to the related art as described above, the applicant found the following drawbacks: in the use process of the optical fiber distribution system, in order to improve the coverage area, the devices of the baseband unit, the near-end unit and the far-end unit are required to be increased, and after a plurality of devices are increased, the noise coefficient is easy to be overlarge, and the improvement space is provided.

Disclosure of Invention

The application provides a 5G-based noise control method and system for an optical fiber distribution system in order to prevent the noise coefficient from being too large when the coverage area is increased.

In a first aspect, the present application provides a 5G-based noise control method for an optical fiber distribution system, which adopts the following technical scheme:

A5G-based optical fiber distribution system noise control method comprises the following steps:

acquiring equipment service condition information;

according to the equipment use condition information, equipment use type information, equipment use numerical values and equipment use position points corresponding to the equipment use condition information are called;

analyzing the equipment use type information and the equipment use number value according to a preset system noise coefficient analysis method to form a system noise coefficient predicted value;

according to the system noise coefficient predicted value and a preset system noise coefficient reference value, analyzing and calculating the difference between the system noise coefficient predicted value and the preset system noise coefficient reference value and taking the difference as a system noise coefficient adjustment value, wherein the defined system noise coefficient reference value refers to a reference value which can be tolerated by a noise coefficient in the use process of the optical fiber distribution system;

Analyzing the equipment use number value and the equipment use position point according to a preset equipment use adjustment influence analysis method to form an equipment use adjustment influence value;

according to the preset system noise coefficient adjustment analysis method, the system noise coefficient adjustment value and the equipment use adjustment influence value are analyzed to form system noise coefficient adjustment information, and the system noise coefficient adjustment information is output.

By adopting the technical scheme, the equipment use condition information is acquired, the equipment use type information, the equipment use number value and the equipment use position point are acquired, the difference between the system noise coefficient predicted value and the system noise coefficient reference value is analyzed and calculated and used as the system noise coefficient adjustment value, the equipment use number value and the equipment use position point are analyzed and processed by the equipment use adjustment influence analysis method to form the equipment use adjustment influence value, and the system noise coefficient adjustment information and the equipment use adjustment influence value are analyzed and processed by the system noise coefficient adjustment analysis method to form the system noise coefficient adjustment information and output, so that the system noise coefficient is adjusted, and the aim that the noise coefficient is not easy to be overlarge when the coverage area is improved is achieved.

Optionally, the analyzing the equipment usage type information and the equipment usage number value according to the preset system noise coefficient analysis method to form the system noise coefficient predicted value includes:

according to the equipment use type information, calling an equipment use type noise coefficient value, an equipment use temperature initial interval and a light intensity interval which correspond to the equipment use type information;

according to the equipment using type noise coefficient value and the equipment using number value, analyzing and calculating the product sum between the equipment using type noise coefficient value and the equipment using number value and taking the product sum as a system noise coefficient initial value;

according to the corresponding relation between the equipment using position points and the preset position temperature influence values, analyzing and obtaining the position temperature influence values corresponding to the equipment using position points;

increasing the section width of the device use temperature initial section to form a new device use temperature execution reference section when the position temperature influence value is a positive value, and decreasing the section width of the device use temperature initial section to form a new device use temperature execution reference section when the position temperature influence value is a negative value;

analyzing and acquiring a system noise coefficient temperature influence value corresponding to the equipment use temperature execution reference interval according to the corresponding relation between the equipment use temperature execution reference interval and a preset system noise coefficient temperature influence value;

Analyzing and acquiring a system noise coefficient light intensity influence value corresponding to the light intensity interval according to the corresponding relation between the light intensity interval and a preset system noise coefficient light intensity influence value;

acquiring a bandwidth value used by equipment;

according to the corresponding relation between the equipment use bandwidth value and the preset system noise coefficient bandwidth influence value, analyzing and obtaining the system noise coefficient bandwidth influence value corresponding to the equipment use bandwidth value;

according to a preset system noise coefficient predicted value calculation formula, analyzing and calculating a system noise coefficient initial value, a system noise coefficient temperature influence value, a system noise coefficient light intensity influence value and a system noise coefficient bandwidth influence value, and outputting a system noise coefficient predicted value, wherein the system noise coefficient predicted value calculation formula is as follows:；

the system noise coefficient predicted value;

the initial value of the system noise coefficient is;

the weight of the temperature influence value of the noise coefficient of the system is;

the temperature influence value is the system noise coefficient;

the weight of the system noise coefficient light intensity influence value is given;

the system noise coefficient light intensity influence value is;

the weight of the bandwidth influence value of the noise coefficient of the system is given;

the system noise coefficient bandwidth influence value;

。

through adopting above-mentioned technical scheme, use kind of noise coefficient value, equipment use temperature initial interval and light intensity interval to equipment through equipment use kind information and transfer, carry out analysis calculation and regard as system noise coefficient initial value to the product sum between equipment use kind of noise coefficient value and the equipment use numerical value again, carry out analysis respectively to system noise coefficient temperature influence value, system noise coefficient light intensity influence value, system noise coefficient bandwidth influence value and acquire, system noise coefficient predictive value is calculated and output to the system noise coefficient predictive value through system noise coefficient predictive value formula calculation formula, thereby make the system noise coefficient predictive value who acquires receive the temperature when equipment uses, the influence of light intensity and bandwidth, and then improve the accuracy of the system noise coefficient predictive value that acquires.

Optionally, the analyzing the device usage number and the device usage location point according to the preset device usage adjustment impact analysis method to form the device usage adjustment impact value includes:

according to the equipment use number value and a preset equipment reference number value, analyzing and calculating the difference value between the equipment use number value and the equipment reference number value and taking the difference value as an equipment number deviation value;

according to the corresponding relation between the equipment number deviation value and the preset equipment number influence value, analyzing and obtaining the equipment number influence value corresponding to the equipment number deviation value;

according to the equipment using position points, calling equipment position range using density information corresponding to the equipment using position points;

analyzing the density information used by the equipment position range according to a preset equipment position influence analysis method to form an equipment position influence value;

analyzing and calculating the number of the equipment influence values and the position influence values of the equipment according to a preset equipment comprehensive influence value calculation formula, outputting the equipment comprehensive influence values, taking the equipment comprehensive influence values as equipment use adjustment influence values, wherein the equipment comprehensive influence value calculation formula is as follows；

The comprehensive influence value of the equipment;

The weight of the number influence value of the equipment is given;

the number of the devices is an influence value;

weighting the device location impact value;

a device location impact value;

。

through adopting above-mentioned technical scheme, obtain through analyzing equipment number influence value and equipment position influence value, the rethread equipment synthesizes influence value calculation formula and calculates and output equipment and synthesizes the influence value to make equipment synthesize the influence value receive equipment number influence value and equipment position influence value's influence, and then improve equipment and synthesize the accuracy of influence value.

Optionally, the analyzing the device location range using density information according to the preset device location impact analysis method to form a device location impact value includes:

according to the equipment position range using density information, calling density time change curve information corresponding to the equipment position range using density information;

acquiring a current time point;

retrieving a current time density estimated value corresponding to a current time point from the density time change curve information based on the current time point;

analyzing the number deviation value of the equipment and the using position point of the equipment according to a preset density reference interval analysis method to form a density reference interval;

According to the current time density pre-estimation value and the density reference interval, analyzing and calculating the difference between the current time density pre-estimation value and the density reference interval and taking the difference as a density deviation value in unit time;

and analyzing and acquiring the equipment position influence value corresponding to the density deviation value in unit time according to the corresponding relation between the density deviation value in unit time and the preset equipment position influence value.

By adopting the technical scheme, the density time change curve information is acquired through the density information used by the equipment position range, the current time point is acquired, the current time density predicted value is acquired, the equipment number deviation value and the equipment use position point are analyzed and processed through the density reference interval analysis method to form a density reference interval, the difference between the current time density predicted value and the density reference interval is analyzed and calculated and used as a unit time density deviation value, the equipment position influence value is acquired through the unit time density deviation value analysis, and therefore the accuracy of the acquired equipment position influence value is improved.

Optionally, the analyzing the device number deviation value and the device usage location point according to the preset density reference interval analysis method to form a density reference interval includes:

According to the equipment reference number value, a density reference initial interval corresponding to the equipment reference number value is called;

according to the corresponding relation between the number deviation value of the equipment and the preset number deviation density interval influence value, analyzing and obtaining the number deviation density interval influence value corresponding to the number deviation value of the equipment;

analyzing and acquiring a using position density interval influence value corresponding to the using position point of the equipment according to the corresponding relation between the using position point of the equipment and a preset using position density interval influence value;

analyzing and calculating the number deviation density interval influence value and the position density interval influence value according to a preset density interval adjustment value calculation formula to output a density interval adjustment value, wherein the density interval adjustment value calculation formula is as follows；

Adjusting the value for the density interval;

a scale factor of the number deviation density interval influence value and the use position density interval influence value;

the number deviation density interval influence value;

to use the position density interval influence value;

and adjusting the density reference initial section based on the density section adjustment value to form a density reference final section, and taking the density reference final section as a density reference section.

By adopting the technical scheme, the density reference initial interval is called through the equipment reference number value, the number deviation density interval influence value is obtained through equipment number deviation value analysis, the use position density interval influence value is obtained through equipment use position point analysis, and then the density interval adjustment value is calculated and output through the density interval adjustment value calculation formula, so that the density interval adjustment value is influenced by the number deviation and the use position density, and the accuracy of the obtained density interval adjustment value is improved.

Optionally, the analyzing the system noise coefficient adjustment value and the device usage adjustment influence value according to the preset system noise coefficient adjustment analysis method to form the system noise coefficient adjustment information includes:

according to the corresponding relation between the system noise coefficient adjustment value and the preset system power initial adjustment value, analyzing and obtaining the system power initial adjustment value corresponding to the system noise coefficient adjustment value;

according to the device use adjustment influence value and a preset device use influence reference value, analyzing and calculating a difference value between the device use adjustment influence value and the device use influence reference value and taking the difference value as a device use influence deviation value;

analyzing the device use influence deviation value according to a preset device use influence adjustment analysis method to form device use influence adjustment information;

and analyzing and acquiring the system noise coefficient adjustment information corresponding to the system power initial adjustment value and the equipment use influence adjustment information according to the corresponding relation between the system power initial adjustment value and the equipment use influence adjustment information and the preset system noise coefficient adjustment information.

By adopting the technical scheme, the system noise coefficient adjustment value is analyzed and obtained through the system noise coefficient adjustment value, then the difference value between the equipment use adjustment influence value and the equipment use influence reference value is analyzed and calculated and used as the equipment use influence deviation value, the equipment use influence deviation value is analyzed and processed through the equipment use influence adjustment analysis method to form equipment use influence adjustment information, and the system noise coefficient adjustment information is analyzed and obtained through the system noise coefficient adjustment value and the equipment use influence adjustment information, so that the accuracy of the obtained system noise coefficient adjustment information is improved.

Optionally, the analyzing the device usage impact deviation value according to the preset device usage impact adjustment analysis method to form device usage impact adjustment information includes:

judging whether the equipment use influence deviation value is larger than a preset equipment use influence deviation reference value or not;

if so, analyzing the equipment use influence deviation value according to a preset equipment use adjustment analysis method to form equipment use deviation adjustment information, and taking the equipment use deviation adjustment information as equipment use influence adjustment information;

if not, analyzing and acquiring the equipment use influence system power adjustment value corresponding to the equipment use influence deviation value according to the corresponding relation between the equipment use influence deviation value and the preset equipment use influence system power adjustment value;

according to the corresponding relation between the equipment use influence system power adjustment value and the preset equipment use influence system power adjustment control information, analyzing and obtaining the equipment use influence system power adjustment control information corresponding to the equipment use influence system power adjustment value, and taking the equipment use influence system power adjustment control information as equipment use influence adjustment information.

By adopting the technical scheme, whether the equipment use influence deviation value is larger than the preset equipment use influence deviation reference value is judged, when the equipment use influence deviation value is larger than the preset equipment use influence deviation reference value, the equipment use influence deviation value is analyzed and processed through an equipment use adjustment analysis method to form equipment use deviation adjustment information and serve as equipment use influence adjustment information, when the equipment use influence deviation value is not larger than the equipment use influence deviation value, the equipment use influence system power adjustment value is obtained through equipment use influence deviation value analysis, the equipment use influence system power adjustment control information is obtained through equipment use influence system power adjustment value analysis and serves as equipment use influence adjustment information, and therefore accuracy of the obtained equipment use influence adjustment information is improved.

Optionally, the analyzing the device usage impact deviation value according to the preset device usage adjustment analysis method to form device usage deviation adjustment information includes:

acquiring a current equipment use temperature value;

according to the corresponding relation between the equipment use influence deviation value and the preset equipment use temperature adjustment value, analyzing and obtaining the equipment use temperature adjustment value corresponding to the equipment use influence deviation value;

according to the equipment use temperature adjustment value and the current equipment use temperature value, analyzing and calculating a difference value between the equipment use temperature adjustment value and the current equipment use temperature value and taking the difference value as an equipment use temperature requirement value;

According to the equipment using temperature demand value and the equipment using temperature execution reference interval, analyzing and calculating a difference value between the equipment using temperature demand value and the equipment using temperature execution reference interval and taking the difference value as an equipment using temperature execution deviation value;

analyzing and acquiring a device position adjustment value corresponding to the device use temperature execution deviation value according to the corresponding relation between the device use temperature execution deviation value and a preset device position adjustment value;

according to a preset temperature position adjustment analysis method, analyzing and processing the equipment use temperature requirement value and the equipment position adjustment value to form temperature position adjustment control information, and taking the temperature position adjustment control information as equipment use deviation adjustment information.

By adopting the technical scheme, the current equipment use temperature value is acquired, the equipment use temperature adjustment value is acquired through equipment use influence deviation value analysis, then the difference between the equipment use temperature adjustment value and the current equipment use temperature value is analyzed and calculated and used as the equipment use temperature requirement value, the difference between the equipment use temperature requirement value and the equipment use temperature execution reference interval is analyzed and calculated and used as the equipment use temperature execution deviation value, the equipment use temperature execution deviation value is analyzed and acquired through the equipment use temperature to acquire the equipment position adjustment value, and then the equipment use temperature requirement value and the equipment position adjustment value are analyzed and processed through a temperature position adjustment analysis method to form temperature position adjustment control information and used as equipment use deviation adjustment information, so that the accuracy of the acquired equipment use deviation adjustment information is improved.

Optionally, the analyzing the device usage temperature requirement value and the device position adjustment value according to the preset temperature position adjustment analysis method to form the temperature position adjustment control information includes:

according to the corresponding relation between the equipment use temperature adjustment value and preset equipment use temperature adjustment information, analyzing and obtaining the equipment use temperature adjustment information corresponding to the equipment use temperature adjustment value;

judging whether the equipment use temperature execution deviation value is larger than a preset equipment use temperature execution deviation reference value or not;

if so, analyzing and acquiring the equipment position adjustment information corresponding to the equipment position adjustment value according to the corresponding relation between the equipment position adjustment value and the preset equipment position adjustment information;

according to the corresponding relation between the equipment use temperature adjustment information, the equipment position adjustment information and the preset temperature position adjustment comprehensive control information, analyzing and obtaining temperature position adjustment comprehensive control information corresponding to the equipment use temperature adjustment information and the equipment position adjustment information, and taking the temperature position adjustment comprehensive control information as temperature position adjustment control information;

if not, the device uses the temperature adjustment information as the temperature position adjustment control information.

By adopting the technical scheme, the equipment use temperature adjustment information is obtained through equipment use temperature adjustment value analysis, whether the equipment use temperature execution deviation value is larger than the preset equipment use temperature execution deviation reference value is judged, when the equipment use temperature execution deviation value is larger than the preset equipment use temperature execution deviation reference value, the equipment position adjustment information is obtained through equipment position adjustment value analysis, the equipment use temperature adjustment information and the equipment position adjustment information analysis are used for obtaining temperature position adjustment comprehensive control information and serving as temperature position adjustment control information, and when the equipment use temperature adjustment information is not larger than the preset equipment use temperature execution deviation reference value, the equipment use temperature adjustment information is used as temperature position adjustment control information, so that the accuracy of the obtained temperature position adjustment control information is improved.

In a second aspect, the present application provides a 5G-based noise control system for an optical fiber distribution system, which adopts the following technical scheme:

a 5G-based fiber distribution system noise control system, comprising:

the acquisition module is used for acquiring equipment use condition information, equipment use bandwidth values, current time points and current equipment use temperature values;

a memory for storing a program of the 5G-based optical fiber distribution system noise control method according to any one of the first aspects;

A processor, a program in memory capable of being loaded by the processor and implementing the 5G-based fiber optic distribution system noise control method of any of the first aspects.

Through adopting above-mentioned technical scheme, acquire equipment service condition information, equipment use bandwidth value, current time point and current equipment use temperature value through the acquisition module, the program load execution in the rethread treater to the memory to adjust system noise coefficient, and then reach and make the not easy too big purpose of noise coefficient when improving coverage area.

In summary, the present application includes at least one of the following beneficial technical effects:

1. acquiring equipment use condition information, retrieving equipment use type information, equipment use numerical values and equipment use position points, analyzing and calculating a difference value between a system noise coefficient predicted value and a system noise coefficient reference value to be used as a system noise coefficient adjustment value, analyzing and processing the equipment use numerical values and the equipment use position points by an equipment use adjustment influence analysis method to form an equipment use adjustment influence value, analyzing and processing the system noise coefficient adjustment value and the equipment use adjustment influence value by a system noise coefficient adjustment analysis method to form system noise coefficient adjustment information, and outputting the system noise coefficient adjustment information, so that the system noise coefficient is adjusted, and the aim that the noise coefficient is not easy to be excessively large when the coverage area is improved is fulfilled;

2. The method comprises the steps of calling a device use type noise coefficient value, a device use temperature initial interval and a light intensity interval through device use type information, analyzing and calculating a product sum between the device use type noise coefficient value and a device use number value to be used as a system noise coefficient initial value, analyzing and obtaining a system noise coefficient temperature influence value, a system noise coefficient light intensity influence value and a system noise coefficient bandwidth influence value respectively, calculating and outputting the system noise coefficient predicted value through a system noise coefficient predicted value calculation formula, so that the obtained system noise coefficient predicted value is influenced by the temperature, the light intensity and the bandwidth of the device in use, and further improving the accuracy of the obtained system noise coefficient predicted value;

3. the device number influence value and the device position influence value are analyzed and obtained, and then the device comprehensive influence value is calculated and output through a device comprehensive influence value calculation formula, so that the device comprehensive influence value is influenced by the device number influence value and the device position influence value, and the accuracy of the device comprehensive influence value is improved.

Drawings

Fig. 1 is a system flow diagram of a near-end unit in accordance with an embodiment of the present application.

Fig. 2 is a system flow diagram of a remote unit in accordance with an embodiment of the present application.

FIG. 3 is a flow chart of a method for noise control of a 5G-based fiber distribution system in accordance with an embodiment of the present application.

Fig. 4 is a flowchart of a method for analyzing a device usage number and a device usage location point to form a device usage adjustment impact value according to a preset device usage adjustment impact analysis method according to an embodiment of the present application.

Fig. 5 is a flowchart of a method for analyzing device location range usage density information to form a device location impact value according to a preset device location impact analysis method according to an embodiment of the present application.

FIG. 6 is a flow chart of a method for analyzing the number of devices and the location points of the devices to form a density reference interval according to a preset density reference interval analysis method according to an embodiment of the present application.

FIG. 7 is a flowchart of a method for analyzing system noise factor adjustment values and device usage adjustment impact values to form system noise factor adjustment information according to a predetermined system noise factor adjustment analysis method according to an embodiment of the present application.

Fig. 8 is a flowchart of a method for analyzing device usage impact deviation values to form device usage impact adjustment information according to a preset device usage impact adjustment analysis method according to an embodiment of the present application.

Fig. 9 is a flowchart of a method for analyzing device usage impact bias values to form device usage bias adjustment information according to a preset device usage bias adjustment analysis method according to an embodiment of the present application.

Fig. 10 is a flowchart of a method for analyzing a device usage temperature demand value and a device position adjustment value to form temperature position adjustment control information according to a preset temperature position adjustment analysis method according to an embodiment of the present application.

Reference numerals illustrate: 1. a light emitting module; 2. an optical branching module; 3. a light receiving module; 4. an optical interface module; 5. a broadband intelligent optical module; 6. a combining module; 7. the 4G signal intelligent bidirectional amplifying module; 8. the 5G signal intelligent bidirectional amplifying module; 9. an antenna.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings 1 to 10 and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.

Referring to fig. 1, the embodiment of the application discloses a near-end unit adopted by a noise control method of a 5G-based optical fiber distribution system, which comprises an optical emission module 1, an optical branching module 2, a plurality of optical receiving modules 3 and a plurality of optical interface modules 4. The optical transmitting module 1 is used for receiving baseband output electric signal information output by the baseband unit and outputting optical transmitting information, the optical branching module 2 is connected with the optical transmitting module 1 to receive the optical transmitting information and output the optical branching information, the plurality of optical interface modules 4 are simultaneously connected with the optical branching module 2 to receive the optical branching information and output the optical interface output information, the plurality of optical interface modules 4 are connected with the outside to receive external optical input information and output the optical interface input information, and the plurality of optical receiving modules 3 are respectively connected with the plurality of optical interface modules 4 correspondingly to receive the optical interface input information and output the optical receiving electric signal information. The optical transmitting module 1 converts the electric signal into the optical signal for transmission, and the optical receiving module 3 converts the optical signal into the electric signal, so that the influence of noise in the transmission process is reduced.

Referring to fig. 2, the far-end unit adopted in the noise control method of the optical fiber distribution system based on 5G includes a broadband intelligent optical module 5, a combiner module 6, a 4G signal intelligent bidirectional amplifying module 7, a 5G signal intelligent bidirectional amplifying module 8 and an antenna 9, wherein the broadband intelligent optical module 5 is configured to receive near-end output information output by the near-end unit and output far-end receiving information, the 4G signal intelligent bidirectional amplifying module 7 is connected with the broadband intelligent optical module 5 to receive far-end receiving information and output 4G signal receiving information, the 5G signal intelligent bidirectional amplifying module 8 is connected with the broadband intelligent optical module 5 to receive far-end receiving information and output 5G signal receiving information, the antenna 9 is respectively connected with the 4G signal intelligent bidirectional amplifying module 7 and the 5G signal intelligent bidirectional amplifying module 8 to simultaneously receive 4G signal receiving information and 5G signal receiving information, the combiner module 6 is provided with two, both the combiner modules 6 are simultaneously connected with the 4G signal intelligent bidirectional amplifying module 7 and the 5G signal intelligent bidirectional amplifying module 8, and one combiner module 6 is connected with the broadband intelligent optical module 5 to the other combiner module 6, and the antenna 9 is connected with the antenna. The 4G signal and the 5G signal are combined by the combining module 6, so that the compatible coverage of various network signals is realized.

Referring to fig. 3, a noise control method of a 5G-based optical fiber distribution system includes:

step S100, acquiring device usage information.

The device usage information refers to usage information when various devices belonging to the baseband unit, the near-end unit and the far-end unit are used, and the device usage information is obtained by uploading and querying the device usage information when the various devices belonging to the baseband unit, the near-end unit and the far-end unit are used.

Step S200, equipment use type information, equipment use numerical value and equipment use position point corresponding to the equipment use condition information are called according to the equipment use condition information.

The device use type information refers to type information of various devices in use states, and the device use type information is obtained by inquiring from a database storing the device use type information. The device usage number refers to the number of devices in use, and the device usage number is obtained by querying a database storing the device usage number. The device use location point refers to various location points where the device is located when in use, and the device use location point is obtained by querying from a database storing the device use location point.

Step S300, according to the preset system noise coefficient analysis method, the equipment use type information and the equipment use number value are analyzed and processed to form a system noise coefficient predicted value.

The system noise coefficient analysis method is used for analyzing noise coefficients in the using process of the optical fiber distribution system, and is obtained by inquiring a database storing the system noise coefficient analysis method. The system noise coefficient predicted value refers to a predicted value for predicting a noise coefficient in the use process of the optical fiber distribution system. The system noise coefficient predictive value is formed by analyzing and processing the equipment use type information and the equipment use number value through the system noise coefficient analysis method, so that the subsequent use of the system noise coefficient predictive value is convenient.

Step S400, according to the system noise coefficient predicted value and the preset system noise coefficient reference value, analyzing and calculating the difference between the system noise coefficient predicted value and the preset system noise coefficient reference value and taking the difference as a system noise coefficient adjustment value.

The system noise coefficient reference value refers to a reference value which can be tolerated by a noise coefficient in the using process of the optical fiber distribution system, and is obtained by inquiring a database storing the system noise coefficient reference value. The system noise factor adjustment value refers to an adjustment value that needs to be adjusted for the noise factor during use of the optical fiber distribution system. The difference between the system noise coefficient predicted value and the system noise coefficient reference value is analyzed and calculated and used as the system noise coefficient adjustment value, so that the system noise coefficient adjustment value is convenient to use subsequently.

Step S500, according to the preset device use adjustment influence analysis method, the device use number value and the device use position point are analyzed and processed to form a device use adjustment influence value.

The device usage adjustment influence analysis method is an analysis method for analyzing the influence degree of various devices in use, which can influence the noise coefficient after being adjusted, and the device usage adjustment influence analysis method is obtained by inquiring from a database storing the device usage adjustment influence analysis method, and the device usage adjustment influence value is an influence degree value of various devices in use, which can influence the noise coefficient after being adjusted. And analyzing and processing the equipment use numerical value and the equipment use position point by using the equipment use adjustment influence analysis method, so that an equipment use adjustment influence value is formed, and the subsequent use of the equipment use adjustment influence value is facilitated.

Step S600, according to the preset system noise coefficient adjustment analysis method, the system noise coefficient adjustment value and the device use adjustment influence value are analyzed to form system noise coefficient adjustment information, and the system noise coefficient adjustment information is output.

The system noise coefficient adjustment analysis method refers to an adjustment analysis method for adjusting various devices in use to adjust noise coefficients, and is obtained by inquiring a database storing the system noise coefficient adjustment analysis method. The system noise coefficient adjustment information is adjustment information for controlling adjustment of the noise coefficient. The system noise coefficient adjustment value and the equipment use adjustment influence value are analyzed and processed through the system noise coefficient adjustment analysis method, so that system noise coefficient adjustment information is formed and output, the system noise coefficient is adjusted, and the aim that the noise coefficient is not easy to be overlarge when the coverage area is improved is achieved.

In step S300 shown in fig. 3, in order to further ensure the rationality of the system noise coefficient predicted value, further separate analysis and calculation of the system noise coefficient predicted value is required, which will be described in detail below.

The method for analyzing the equipment use type information and the equipment use number value according to the preset system noise coefficient analysis method to form a system noise coefficient predicted value comprises the following steps:

Step S310, according to the equipment use type information, the equipment use type noise coefficient value, the equipment use temperature initial section and the light intensity section corresponding to the equipment use type information are called.

The device-use type noise coefficient value refers to a noise coefficient value generated for each type to which the device in the use state belongs, and is obtained by searching a database storing the device-use type noise coefficient value. The device use temperature initial section refers to a temperature reference section for device initiation at the time of use, and the device use temperature initial section is obtained by searching from a database storing the device use temperature initial section. The light intensity section refers to a light intensity section of each device when in use, and the light intensity section is acquired by searching a database storing the light intensity sections.

Step S320, according to the device use type noise coefficient value and the device use number value, the product sum between the device use type noise coefficient value and the device use number value is analyzed and calculated and used as the initial value of the system noise coefficient.

The system noise coefficient initial value refers to an initial value of a noise coefficient in the use process of the optical fiber distribution system, and the noise coefficient generated by each device in the use process of the optical fiber distribution system is acquired and used as the system noise coefficient initial value by carrying out analysis and calculation on the product sum between the noise coefficient value of the type of the device and the use number value of the device, so that the subsequent use is convenient.

Step S330, analyzing and acquiring the position temperature influence value corresponding to the equipment use position point according to the corresponding relation between the equipment use position point and the preset position temperature influence value.

The position temperature influence value refers to influence values of various positions where the equipment is located when in use on temperature, and the position temperature influence value is obtained by inquiring a database storing the position temperature influence value. And the position temperature influence value is obtained through the analysis of the position points of the equipment, so that the subsequent use is convenient.

Step S340 of increasing the section width of the device use temperature initial section to form a new device use temperature execution reference section when the position temperature influence value is a positive value, and decreasing the section width of the device use temperature initial section to form a new device use temperature execution reference section when the position temperature influence value is a negative value.

The interval width of the initial interval of the equipment use temperature is adjusted according to the positive and negative values of the position temperature influence value, so that a new equipment use temperature execution reference interval is formed, the acquired new equipment use temperature execution reference interval is influenced by the equipment use position point, and the accuracy of the acquired equipment use temperature execution reference interval is improved. For example, when the device use position point is located outdoors, the position temperature influence value is a positive value, thereby increasing the section width of the device use temperature initial section, and when the device use position point is located indoors, the position temperature influence value is a negative value, thereby decreasing the section width of the device use temperature initial section.

Step S350, analyzing and obtaining a system noise coefficient temperature influence value corresponding to the device usage temperature execution reference interval according to the correspondence between the device usage temperature execution reference interval and the preset system noise coefficient temperature influence value.

The system noise coefficient temperature influence value refers to an influence degree value when the temperature influences the noise coefficient in the using process of the optical fiber distribution system, and is obtained by inquiring a database storing the system noise coefficient temperature influence value.

Step S360, analyzing and obtaining the system noise coefficient light intensity influence value corresponding to the light intensity interval according to the corresponding relation between the light intensity interval and the preset system noise coefficient light intensity influence value.

The system noise coefficient light intensity influence value refers to an influence degree value when noise generated by light intensity influences a noise coefficient in the using process of the optical fiber distribution system, and the system noise coefficient light intensity influence value is inquired and obtained from a database storing the system noise coefficient light intensity influence value. And acquiring a system noise coefficient light intensity influence value through light intensity interval analysis, so that the subsequent use is convenient.

Step S370, acquiring a device usage bandwidth value.

The device usage bandwidth value refers to various bandwidth values of optical fibers adopted by the device during use, and the device usage bandwidth value is obtained by inquiring from a database storing the device usage bandwidth value.

Step S380, according to the corresponding relation between the device use bandwidth value and the preset system noise coefficient bandwidth influence value, analyzing and obtaining the system noise coefficient bandwidth influence value corresponding to the device use bandwidth value.

The system noise coefficient bandwidth influence value refers to an influence degree value when the bandwidth influences the noise coefficient in the using process of the optical fiber distribution system, and is obtained by inquiring a database storing the system noise coefficient bandwidth influence value. And the bandwidth influence value of the noise coefficient of the system is obtained through analysis of the bandwidth value of equipment, so that the subsequent use is convenient.

Step S390, according to the preset system noise coefficient prediction value calculation formula, the system noise coefficient initial value, the system noise coefficient temperature influence value, the system noise coefficient light intensity influence value and the system noise coefficient bandwidth influence value are analyzed and calculated, and the system noise coefficient prediction value is output.

The system noise coefficient predicted value calculation formula refers to a calculation formula for analyzing and calculating a system noise coefficient predicted value, and the system noise coefficient predicted value calculation formula is obtained by inquiring a database storing the system noise coefficient predicted value calculation formula. The calculation formula of the system noise coefficient predicted value is as follows:，as a predicted value of the noise coefficient of the system,for the initial value of the system noise coefficient,as a weight for the system noise figure temperature impact value,for the temperature-affected value of the noise coefficient of the system,as a weight for the system noise figure light intensity impact value,for the system noise factor light intensity impact value,the system noise figure bandwidth is given the weight of the impact value,for the bandwidth impact value of the system noise figure,。

for example, when，，，，，，System noise factor predictive value at this time。

In step S500 shown in fig. 3, in order to further ensure the rationality of the device usage adjustment influence value, further individual analysis calculation of the device usage adjustment influence value is required, specifically, the steps shown in fig. 4 will be described in detail.

Referring to fig. 4, according to a preset device usage adjustment influence analysis method, to analyze and process a device usage number value and a device usage location point to form a device usage adjustment influence value includes the following steps:

Step S510, according to the device usage number value and the preset device reference number value, analyzing and calculating the difference value between the device usage number value and the device reference number value and taking the difference value as a device number deviation value.

The device reference number refers to a reference number when the device generates acceptable noise coefficients meeting the conditions during use, and the device reference number is obtained by inquiring a database storing the device reference number. The device number deviation value refers to various deviation values when there is a deviation in the number of devices in use. The difference between the equipment using number value and the equipment reference number value is analyzed and calculated and used as the equipment number deviation value, so that the follow-up use of the equipment number deviation value is facilitated.

Step S520, analyzing and obtaining the equipment number influence value corresponding to the equipment number deviation value according to the corresponding relation between the equipment number deviation value and the preset equipment number influence value.

The device number influence value refers to various influence degree values which are influenced by the deviation of the number of devices when the device is used, and the device number influence value is inquired and obtained from a database storing the device number influence value. And the device number influence value is obtained through device number deviation value analysis, so that the subsequent use is convenient.

Step S530, retrieving the device location range usage density information corresponding to the device usage location point according to the device usage location point.

The device location range use density information refers to various personnel density information of a location where the device is used by personnel when the device is used, and the device location range use density information is obtained by inquiring from a database storing the device location range use density information.

Step S540, analyzing and processing the density information used by the equipment position range according to the preset equipment position influence analysis method to form an equipment position influence value.

The device position influence analysis method is an analysis method for analyzing influence degrees when various positions of the device are influenced during use, and the device position influence analysis method is obtained by inquiring a database storing the device position influence analysis method. The device position influence value refers to various influence degree values when the position of the device is influenced during use, and the device position range using density information is analyzed and processed through a device position influence analysis method, so that the device position influence value is formed, and the subsequent use is convenient.

Step S550, according to a preset device comprehensive influence value calculation formula, analyzing and calculating the device number influence values and the device position influence values, outputting the device comprehensive influence values, and using the device comprehensive influence values as device use adjustment influence values.

The comprehensive equipment influence value refers to various influence degree values which comprehensively influence equipment when in use, the comprehensive equipment influence value calculation formula refers to a calculation formula for analyzing and calculating the comprehensive equipment influence value, and the comprehensive equipment influence value calculation formula is obtained by inquiring a database storing the comprehensive equipment influence value calculation formula. The calculation formula of the comprehensive influence value of the equipment is as follows，For the device to synthesize an impact value,the number of devices affects the weight of the value,for the number of devices to affect the value,as a weight for the device location impact value,for the device location impact value,。

for example, when，，，At this time, the device comprehensive influence value。

In step S540 shown in fig. 4, in order to further secure the rationality of the device position influence value, further individual analysis calculation of the device position influence value is required, and specifically, the detailed description will be given by the steps shown in fig. 5.

Referring to fig. 5, the analyzing process of using density information to form an apparatus position influence value according to a preset apparatus position influence analyzing method includes the steps of:

Step S541, retrieving the density time-varying curve information corresponding to the device position range use density information according to the device position range use density information.

The density time change curve information refers to change curve information of a person whose density is changed with time when the device is used at a position where the person is used, and the density time change curve information is obtained by inquiring from a database storing the density time change curve information.

Step S542, a current time point is acquired.

In step S543, the current time density estimated value corresponding to the current time point is retrieved from the density time variation curve information based on the current time point.

The current time density estimated value refers to an estimated value of the current time to the density, and the current time density estimated value is obtained by calling a density value corresponding to a current time point from the density time change curve information.

In step S544, the device number deviation value and the device usage location point are analyzed according to the preset density reference interval analysis method to form a density reference interval.

The density reference interval refers to a reference interval of the density of the position where the equipment is located, the density reference interval analysis method refers to an analysis method for analyzing the density reference interval, and the density reference interval analysis method is obtained by inquiring from a database storing the density reference interval analysis method. And analyzing and processing the number deviation value of the equipment and the using position point of the equipment by using a density reference interval analysis method, so that a density reference interval is formed, and the subsequent use of the density reference interval is convenient.

Step S545, according to the current time density pre-estimation value and the density reference interval, analyzing and calculating the difference between the current time density pre-estimation value and the density reference interval to be used as the density deviation value of the unit time.

The density deviation value in unit time refers to a deviation value when the density in unit time deviates, and the difference value between the current time density predicted value and the density reference interval is analyzed and calculated and used as the density deviation value in unit time, so that the follow-up use is convenient.

Step S546, analyzing and obtaining the device position influence value corresponding to the density deviation value in unit time according to the corresponding relation between the density deviation value in unit time and the preset device position influence value.

The device position influence value is obtained through analysis of the density deviation value in unit time, so that accuracy of the obtained device position influence value is improved.

In step S544 shown in fig. 5, in order to further secure the rationality of the density reference interval, further individual analysis calculation of the density reference interval is required, and specifically, the steps shown in fig. 6 will be described in detail.

Referring to fig. 6, the method for analyzing the number of devices and the location points of the devices to form the density reference interval according to the preset density reference interval analysis method includes the following steps:

In step S5441, a density reference initial section corresponding to the device reference number value is retrieved according to the device reference number value.

The density reference initial section refers to an initial reference section of the density of the position where the equipment is located, and the density reference initial section is obtained by inquiring a database storing the density reference initial section.

Step S5442 analyzes and obtains a number deviation density interval influence value corresponding to the device number deviation value according to the correspondence between the device number deviation value and the preset number deviation density interval influence value.

The number deviation density interval influence value refers to an influence degree value of the number deviation value of the equipment when the number deviation value influences the density of the position where the equipment is located, and the number deviation density interval influence value is obtained by inquiring a database storing the number deviation density interval influence value. The number deviation density interval influence value is obtained through analyzing the number deviation value of the equipment, so that the subsequent use of the number deviation density interval influence value is facilitated.

Step S5443 analyzes and obtains the usage location density interval influence value corresponding to the device usage location point according to the correspondence between the device usage location point and the preset usage location density interval influence value.

The used position density interval influence value refers to an influence degree value when the position point used by the equipment influences the position density of the equipment, and the used position density interval influence value is obtained by inquiring a database storing the used position density interval influence value. And the influence value of the using position density interval is obtained through the analysis of the using position points of the equipment, so that the subsequent use is convenient.

Step S5444 is to analyze and calculate the number deviation density interval influence value and the usage position density interval influence value according to the preset density interval adjustment value calculation formula and output the density interval adjustment value.

The density interval adjusting value refers to an adjusting value used for adjusting a density interval, the density interval adjusting value calculating formula refers to a calculating formula used for analyzing and calculating the density interval adjusting value, and the density interval adjusting value calculating formula is obtained by inquiring a database storing the density interval adjusting value calculating formula. The calculation formula of the density interval adjustment value is，For the adjustment value of the density interval,as a scaling factor of the number deviation density interval effect value and the position density interval effect value,for a number of offset density interval influence values, To use the position density interval influence value.

By way of example only, the process may be performed,，，at this time, the density interval adjustment value。

In step S5445, the density reference initial section is adjusted based on the density section adjustment value to form a density reference final section, and the density reference final section is used as a density reference section.

The density reference initial section is adjusted by the density section adjustment value to form a density reference final section, and the density reference final section is used as a density reference section, so that the acquired density reference section is influenced by the equipment position and the equipment number, and the accuracy of the acquired density reference section is improved.

In step S600 shown in fig. 3, in order to further ensure the rationality of the system noise coefficient adjustment information, further separate analysis and calculation of the system noise coefficient adjustment information is required, and specifically, the detailed description will be given by the steps shown in fig. 7.

Referring to fig. 7, according to a preset system noise coefficient adjustment analysis method, the system noise coefficient adjustment value and the device usage adjustment influence value are analyzed to form system noise coefficient adjustment information, which includes the following steps:

step S610, according to the corresponding relation between the system noise coefficient adjustment value and the preset system power initial adjustment value, analyzing and obtaining the system power initial adjustment value corresponding to the system noise coefficient adjustment value.

The initial system power adjustment value refers to an adjustment value for initially adjusting the system power, and the initial system power adjustment value is obtained by inquiring a database storing the initial system power adjustment value. And the system power initial adjustment value is obtained through analysis of the system noise coefficient adjustment value, so that the subsequent use is convenient.

In step S620, according to the device usage adjustment influence value and the preset device usage influence reference value, a difference between the device usage adjustment influence value and the device usage influence reference value is analyzed and calculated, and the difference is used as a device usage influence deviation value.

The device usage influence reference value refers to a reference influence degree value that affects the noise coefficient after the device in the usage state is adjusted, and the device usage influence reference value is obtained by querying from a database storing the device usage influence reference value. The device use influence deviation value refers to a deviation value which is used for generating deviation on the influence degree when the noise coefficient is influenced after various devices in the use state are regulated, and the deviation value is used as the device use influence deviation value by analyzing and calculating the difference value between the device use regulation influence value and the device use influence reference value, so that the subsequent use is convenient.

Step S630, according to the preset device use influence adjustment analysis method, the device use influence deviation value is analyzed and processed to form device use influence adjustment information.

The device usage influence adjustment information is adjustment information for controlling adjustment of devices in various usage states, and the device usage influence adjustment analysis method is an analysis method for analyzing the device usage influence adjustment information. The device use influence adjustment information is formed by analyzing and processing the device use influence deviation value through the device use influence adjustment analysis method, so that the subsequent use of the device use influence adjustment information is facilitated.

Step S640, according to the corresponding relation between the system power initial adjustment value, the equipment usage influence adjustment information and the preset system noise coefficient adjustment information, analyzing and obtaining the system noise coefficient adjustment information corresponding to the system power initial adjustment value and the equipment usage influence adjustment information.

The system noise coefficient adjustment information is obtained through analyzing the system power initial adjustment value and the equipment use influence adjustment information, so that the obtained system noise coefficient adjustment information is influenced by the system power initial adjustment value and the equipment use influence adjustment information, and the accuracy of the obtained system noise coefficient adjustment information is improved.

In step S630 shown in fig. 7, in order to further secure the rationality of the device usage impact adjustment information, further individual analysis calculation of the device usage impact adjustment information is required, specifically, the steps shown in fig. 8 are described in detail.

Referring to fig. 8, according to a preset device use influence adjustment analysis method to analyze and process a device use influence deviation value to form device use influence adjustment information includes the steps of:

in step S631, it is determined whether the device usage impact deviation value is greater than a preset device usage impact deviation reference value. If yes, go to step S632; if not, step S633 is performed.

The device usage influence deviation reference value refers to a reference deviation value that deviates from the degree of influence when the noise coefficient is influenced after various devices in use are adjusted, and the device usage influence deviation reference value is obtained by querying from a database in which the device usage influence deviation reference value is stored.

And judging whether the equipment use influence deviation value is larger than a preset equipment use influence deviation reference value or not, so as to judge whether the influence degree generates larger deviation when the noise coefficient is influenced after various equipment in use states are regulated.

Step S632, performing analysis processing on the device usage impact deviation value according to the preset device usage adjustment analysis method to form device usage deviation adjustment information, and using the device usage deviation adjustment information as device usage impact adjustment information.

The device usage deviation adjustment information refers to adjustment information for adjusting the device when deviation occurs in the influence degree, and the device usage adjustment analysis method refers to an analysis method for analyzing the device usage deviation adjustment information, and the device usage adjustment analysis method is obtained by inquiring from a database storing the device usage adjustment analysis method.

When the equipment use influence deviation value is larger than a preset equipment use influence deviation reference value, the fact that the influence degree generates larger deviation when the noise coefficient is influenced after the equipment in the use state is regulated is indicated, so that the equipment use influence deviation value is analyzed and processed through an equipment use regulation analysis method to form equipment use deviation regulation information, the equipment use deviation regulation information is used as equipment use influence regulation information, the used equipment needs to be regulated, and the accuracy of the acquired equipment use influence regulation information is improved.

Step S633, analyzing and obtaining the device usage influence system power adjustment value corresponding to the device usage influence deviation value according to the corresponding relation between the device usage influence deviation value and the preset device usage influence system power adjustment value.

The device usage influencing system power adjustment value is an adjustment value for adjusting the system power when the noise coefficient is influenced after the device in the usage state is adjusted, and the device usage influencing system power adjustment value is obtained by inquiring a database storing the device usage influencing system power adjustment value.

When the equipment use influence deviation value is not larger than a preset equipment use influence deviation reference value, the fact that the influence degree does not generate larger deviation when the noise coefficient is influenced after various equipment in the use state is regulated is indicated, so that the equipment use influence system power regulation value is obtained through equipment use influence deviation value analysis, and the follow-up use of the equipment use influence system power regulation value is facilitated.

Step S634, according to the corresponding relation between the device usage influencing system power adjustment value and the preset device usage influencing system power adjustment control information, analyzing and obtaining the device usage influencing system power adjustment control information corresponding to the device usage influencing system power adjustment value, and using the device usage influencing system power adjustment control information as the device usage influencing adjustment information.

The device usage influencing system power adjustment control information is adjustment information for controlling adjustment of system power when the noise coefficient is influenced after the device in a usage state is adjusted, and the device usage influencing system power adjustment control information is obtained by inquiring a database storing the device usage influencing system power adjustment control information.

The device usage influencing system power adjustment control information corresponding to the device usage influencing system power adjustment value is used as the device usage influencing adjustment information, so that only the system power is required to be adjusted, and the accuracy of the acquired device usage influencing adjustment information is improved.

In step S632 shown in fig. 8, in order to further secure the rationality of the device usage deviation adjustment information, further individual analysis calculation of the device usage deviation adjustment information is required, and specifically, the steps shown in fig. 9 will be described in detail.

Referring to fig. 9, according to a preset device usage adjustment analysis method to analyze a device usage influence deviation value to form device usage deviation adjustment information includes the steps of:

Step S6321, acquiring a current device usage temperature value.

The current equipment use temperature value refers to temperature values of various equipment in a use state in the current use state, and the current equipment use temperature value is obtained by uploading after being detected by a temperature detection device preset on the current equipment.

Step S6322, analyzing and obtaining the device usage temperature adjustment value corresponding to the device usage influence deviation value according to the correspondence between the device usage influence deviation value and the preset device usage temperature adjustment value.

The device use temperature adjustment value refers to adjustment values of various devices in use states, which need to be subjected to temperature adjustment, and the device use temperature adjustment value is obtained by inquiring a database storing the device use temperature adjustment value. And analyzing and acquiring the equipment use temperature adjustment value through the equipment use influence deviation value, so that the follow-up use of the equipment use temperature adjustment value is convenient.

Step S6323, analyzing and calculating a difference between the device usage temperature adjustment value and the current device usage temperature value as a device usage temperature demand value according to the device usage temperature adjustment value and the current device usage temperature value.

The device use temperature demand value refers to temperature values which are needed to be achieved by various devices in use states, and the difference value between the device use temperature adjustment value and the current device use temperature value is analyzed and calculated and used as the device use temperature demand value, so that the subsequent use is convenient.

Step S6324, analyzing and calculating a difference value between the device usage temperature demand value and the device usage temperature execution reference section as a device usage temperature execution deviation value, based on the device usage temperature demand value and the device usage temperature execution reference section.

The device use temperature execution deviation value refers to a deviation value when deviation exists in temperature execution when the device in a use state is subjected to temperature adjustment, and the deviation value is analyzed and calculated through a difference value between a device use temperature demand value and a device use temperature execution reference interval and is used as the device use temperature execution deviation value, so that subsequent use is facilitated.

Step S6325, analyzing and obtaining a device position adjustment value corresponding to the device usage temperature execution deviation value according to the correspondence between the device usage temperature execution deviation value and the preset device position adjustment value.

The device position adjustment value refers to an adjustment value for adjusting the position of a device in various use states, and the device position adjustment value is obtained by searching a database storing the device position adjustment value. And the device position adjustment value is obtained through device use temperature execution deviation value analysis, so that the subsequent use is convenient.

In step S6326, according to the preset temperature position adjustment analysis method, the device usage temperature requirement value and the device position adjustment value are analyzed to form temperature position adjustment control information, and the temperature position adjustment control information is used as device usage deviation adjustment information.

The temperature position adjustment control information is adjustment information for adjusting the position and temperature of various devices in use, the temperature position adjustment analysis method is an analysis method for analyzing the temperature position adjustment control information, and the temperature position adjustment analysis method is obtained by inquiring from a database storing the temperature position adjustment analysis method. And analyzing and processing the equipment use temperature demand value and the equipment position adjustment value through a temperature position adjustment analysis method so as to form temperature position adjustment control information, and taking the temperature position adjustment control information as equipment use deviation adjustment information, so that the acquired equipment use deviation adjustment information is influenced by the equipment use temperature demand value and the equipment position adjustment value, and the accuracy of the acquired equipment use deviation adjustment information is improved.

In step S6326 shown in fig. 9, in order to further secure the rationality of the temperature position adjustment control information, further individual analysis calculation of the temperature position adjustment control information is required, and specifically, the detailed description will be given by the steps shown in fig. 10.

Referring to fig. 10, according to a preset temperature position adjustment analysis method to analyze a device usage temperature demand value and a device position adjustment value to form temperature position adjustment control information includes the steps of:

step S63261, analyzing and obtaining the device usage temperature adjustment information corresponding to the device usage temperature adjustment value according to the correspondence between the device usage temperature adjustment value and the preset device usage temperature adjustment information.

The device usage temperature adjustment information is adjustment information for adjusting the temperatures of various devices in use, and the device usage temperature adjustment information is obtained by searching a database storing the device usage temperature adjustment information. And acquiring equipment use temperature adjustment information through equipment use temperature adjustment value analysis, so that follow-up use is convenient.

In step S63262, it is determined whether the device use temperature execution deviation value is greater than a preset device use temperature execution deviation reference value. If yes, go to step S63263; if not, step S63265 is performed.

The device-use-temperature deviation reference value refers to a reference deviation value when there is a deviation in temperature execution when temperature adjustment is performed on various devices in use, and is obtained by querying from a database in which the device-use-temperature deviation reference value is stored.

And judging whether the equipment use temperature execution deviation value is larger than a preset equipment use temperature execution deviation reference value or not, so as to judge whether the aim of the noise coefficient of the system can be achieved by adjusting the temperature.

Step S63263, analyzing and acquiring the device position adjustment information corresponding to the device position adjustment value according to the corresponding relation between the device position adjustment value and the preset device position adjustment information.

The device position adjustment information is adjustment information for adjusting the positions of various devices in use, and the device position adjustment information is obtained by searching a database storing the device position adjustment information.

When the device use temperature execution deviation value is larger than the preset device use temperature execution deviation reference value, the purpose of the noise coefficient of the system cannot be achieved by adjusting the temperature, so that the device position adjustment information is obtained through device position adjustment value analysis, and the follow-up use is convenient.

Step S63264, analyzing and obtaining temperature position adjustment integrated control information corresponding to the device usage temperature adjustment information and the device position adjustment information according to the correspondence between the device usage temperature adjustment information and the device position adjustment information and the preset temperature position adjustment integrated control information, and taking the temperature position adjustment integrated control information as the temperature position adjustment control information.

The temperature position adjustment integrated control information refers to control information for performing integrated adjustment of temperature and position of various devices in use, and is obtained by querying from a database storing the temperature position adjustment integrated control information. The temperature position adjustment comprehensive control information is obtained through the analysis of the equipment using the temperature adjustment information and the equipment position adjustment information, and the temperature position adjustment comprehensive control information is used as the temperature position adjustment control information, so that the accuracy of the obtained temperature position adjustment control information is improved.

Step S63265, the device usage temperature adjustment information is used as temperature position adjustment control information.

When the device use temperature execution deviation value is not larger than the preset device use temperature execution deviation reference value, the purpose of achieving the system noise coefficient through adjusting the temperature is achieved, so that the device use temperature adjustment information is used as temperature position adjustment control information, and the accuracy of the acquired temperature position adjustment control information is improved.

Based on the same inventive concept, an embodiment of the present invention provides a 5G-based noise control system of an optical fiber distribution system, including:

a memory for storing a program of the 5G-based optical fiber distribution system noise control method as described in any one of fig. 3 to 10;

a processor, a program in the memory capable of being loaded by the processor and implementing the 5G-based fiber optic distribution system noise control method as described in any one of fig. 3 to 10.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional modules is illustrated, and in practical application, the above-described functional allocation may be performed by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to perform all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.

The foregoing description of the preferred embodiments of the application is not intended to limit the scope of the application in any way, including the abstract and drawings, in which case any feature disclosed in this specification (including abstract and drawings) may be replaced by alternative features serving the same, equivalent purpose, unless expressly stated otherwise. That is, each feature is one example only of a generic series of equivalent or similar features, unless expressly stated otherwise.

Claims

1. The 5G-based noise control method for the optical fiber distribution system is characterized by comprising the following steps of:

acquiring equipment service condition information;

according to a preset system noise coefficient adjustment analysis method, analyzing and processing a system noise coefficient adjustment value and a device use adjustment influence value to form system noise coefficient adjustment information, and outputting the system noise coefficient adjustment information;

acquiring a bandwidth value used by equipment;

the system noise coefficient predicted value;

the initial value of the system noise coefficient is;

temperature influence for noise coefficient of systemA value;

the system noise coefficient light intensity influence value is;

the system noise coefficient bandwidth influence value;

；

the method for analyzing the device usage number and the device usage location point according to the preset device usage adjustment influence analysis method to form the device usage adjustment influence value comprises the following steps:

according to a preset comprehensive influence value calculation formula of the equipmentAnalyzing and calculating the number influence value and the position influence value of the equipment, outputting an equipment comprehensive influence value, taking the equipment comprehensive influence value as an equipment use adjustment influence value, and calculating an equipment comprehensive influence value according to the formula；

The comprehensive influence value of the equipment;

the weight of the number influence value of the equipment is given;

the number of the devices is an influence value;

weighting the device location impact value;

a device location impact value;

；

the analyzing processing of the density information used by the equipment position range according to the preset equipment position influence analyzing method to form the equipment position influence value comprises the following steps:

acquiring a current time point;

analyzing and acquiring the equipment position influence value corresponding to the density deviation value in unit time according to the corresponding relation between the density deviation value in unit time and the preset equipment position influence value;

the method for analyzing the number deviation value of the equipment and the using position point of the equipment according to the preset density reference interval analysis method comprises the following steps:

Adjusting the value for the density interval;

the number deviation density interval influence value;

to use the position density interval influence value;

adjusting the density reference initial section based on the density section adjustment value to form a density reference final section, and taking the density reference final section as a density reference section;

the method for analyzing the system noise coefficient adjustment value and the device usage adjustment influence value according to the preset system noise coefficient adjustment analysis method to form the system noise coefficient adjustment information comprises the following steps:

according to the corresponding relation between the initial system power adjustment value, the equipment use influence adjustment information and the preset system noise coefficient adjustment information, analyzing and obtaining system noise coefficient adjustment information corresponding to the initial system power adjustment value and the equipment use influence adjustment information;

the method for analyzing the deviation value of the equipment use influence according to the preset equipment use influence adjustment analysis method to form equipment use influence adjustment information comprises the following steps:

according to the corresponding relation between the equipment use influence system power adjustment value and the preset equipment use influence system power adjustment control information, analyzing and obtaining equipment use influence system power adjustment control information corresponding to the equipment use influence system power adjustment value, and taking the equipment use influence system power adjustment control information as equipment use influence adjustment information;

the method for analyzing the device usage influence deviation value according to the preset device usage adjustment analysis method to form device usage deviation adjustment information comprises the following steps:

acquiring a current equipment use temperature value;

analyzing the equipment use temperature demand value and the equipment position adjustment value according to a preset temperature position adjustment analysis method to form temperature position adjustment control information, and taking the temperature position adjustment control information as equipment use deviation adjustment information;

the step of analyzing the device usage temperature demand value and the device position adjustment value according to the preset temperature position adjustment analysis method to form temperature position adjustment control information includes:

2. A 5G-based noise control system for a fiber optic distribution system, comprising:

a memory for storing a program of the 5G-based optical fiber distribution system noise control method according to claim 1;

a processor, a program in the memory capable of being loaded by the processor and implementing the 5G-based fiber optic distribution system noise control method of claim 1.