CN116740838A - Gas consumption data acquisition method and system for optical fiber preform production - Google Patents
Gas consumption data acquisition method and system for optical fiber preform production Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 28
- 239000013307 optical fiber Substances 0.000 title claims abstract description 22
- 238000012545 processing Methods 0.000 claims abstract description 40
- 238000009499 grossing Methods 0.000 claims description 20
- 238000007781 pre-processing Methods 0.000 claims description 18
- 238000004364 calculation method Methods 0.000 claims description 15
- 238000003860 storage Methods 0.000 claims description 14
- 238000004140 cleaning Methods 0.000 claims description 10
- 238000012937 correction Methods 0.000 claims description 9
- 238000012544 monitoring process Methods 0.000 abstract description 8
- 230000002159 abnormal effect Effects 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 4
- 238000007405 data analysis Methods 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000006978 adaptation Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 238000013499 data model Methods 0.000 description 2
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- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
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- 230000003287 optical effect Effects 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F22/00—Methods or apparatus for measuring volume of fluids or fluent solid material, not otherwise provided for
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F1/00—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C3/00—Registering or indicating the condition or the working of machines or other apparatus, other than vehicles
- G07C3/005—Registering or indicating the condition or the working of machines or other apparatus, other than vehicles during manufacturing process
Abstract
The invention provides a gas consumption data acquisition method and system for optical fiber preform production, and relates to the technical field of data processing, wherein the method comprises the following steps: by time interval between adjacent time points and gas flow valueCalculating a gas consumption amount, wherein F (0) is a gas flow value at a start time point, Δt is a time interval between adjacent time points,is the sum of the gas flow values of the odd index positions,is the sum of the gas flow values of the even index positions,is the gas flow value at the end time point. The invention can acquire the gas flow value of each time point in real time, automatically calculate the time interval and realize the dynamic monitoring of the gas consumption.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a gas consumption data acquisition method and system for optical fiber preform production.
Background
In the optical fiber preform production process, a large amount of consumed gas is required. In order to monitor the consumption of gas, real-time detection and statistics of the gas flow are required.
However, the existing method for detecting the gas flow relies on manual calculation of the gas consumption in each time period, the workload is large, calculation errors are easy to introduce, and real-time statistics of gas consumption data cannot be realized, so that the dynamic monitoring requirement of gas consumption in the production process cannot be met.
Disclosure of Invention
The invention aims to solve the technical problem of providing a gas consumption data acquisition method and a gas consumption data acquisition system for optical fiber preform production, which realize automatic acquisition and processing of gas flow data, avoid a large amount of repeated manual calculation workload, acquire the gas flow value of each time point in real time, automatically calculate the time interval and realize dynamic monitoring of the gas consumption.
In order to solve the technical problems, the technical scheme of the invention is as follows:
in a first aspect, a method for collecting gas usage data for optical fiber preform production, the method comprising:
acquiring gas flow data detected by a sensor;
processing the gas flow data by a data processing unit to obtain preprocessing data;
acquiring a gas flow value corresponding to each time point of the pretreatment data according to the pretreatment data;
calculating a time interval between adjacent time points;
by time interval between adjacent time points and gas flow valueCalculating a gas consumption amount, wherein F (0) is a gas flow value at a start time point, Δt is a time interval between adjacent time points,is the sum of the gas flow values of the odd index positions,is the sum of the gas flow values of the even index positions,is the gas flow value at the end time point.
Further, the gas flow data is processed by a data processing unit to obtain pre-processed data, including:
inputting the gas flow data output by the sensor into a data processing unit;
cleaning the collected data to obtain cleaned data;
smoothing the cleaned data to obtain smoothed data;
and interpolating the smooth data to fill in missing data points so as to obtain integrated data.
Further, according to the preprocessing data, acquiring a gas flow value corresponding to each time point of the preprocessing data, including:
determining a time point for acquiring the gas flow value according to the time stamp information of the preprocessing data;
and extracting a corresponding gas flow value according to the determined time point.
Further, after extracting the corresponding gas flow value according to the determined time point, the method further comprises:
correcting the gas flow value to obtain correction data;
and storing the correction data into a corresponding data structure.
Further, calculating the time interval between adjacent time points includes:
acquiring a time point data set, and a gas flow value and a time stamp corresponding to each time point;
arranging the time point data sets in time sequence;
taking out two adjacent time points from the ordered time point data set as a pair of time points;
according to each time point pair, calculating a second time point minus the first time point to obtain a time difference value;
and (3) moving the first time point to a second time point, moving the second time point to the next time point, forming a new time point pair, circularly calculating until all time points are traversed, and calculating the time intervals between all adjacent time point pairs.
Further, the collected data is cleaned to obtain cleaned data, including:
the acquired data is x= { X 1 ，x 2 ，…，x n}, wherein ,xi The calculation formula for the cleaned data Y, representing the i-th data point, is: y is i =f(x i )，i=1，2，…，n；
wherein ,, wherein ,[xmin ，x max ]In the range of normal values, x min
and xmax A minimum threshold value and a maximum threshold value, y i Is the ith data point in the sequence.
Further, performing smoothing processing on the cleaned data to obtain smoothed data, including:
for the cleaned data y= { Y 1 ，y 2 ，…，y n Smoothing to obtain smoothed data Z= { Z } 1 ，z 2 ，…，z i }；
wherein ,wherein ω is a weight parameter between 0 and 1, k is half the size of the smoothing window and is an integer, z i For the value of the i-th data point after smoothing, y i-k For the k data points before the ith data point, y i+k For k data points after the ith data point, z i-1 Is the value of the previous smoothed data point.
In a second aspect, a gas usage data acquisition system for optical fiber preform production, comprising:
the acquisition module is used for acquiring the gas flow data detected by the sensor; processing the gas flow data by a data processing unit to obtain preprocessing data; acquiring a gas flow value corresponding to each time point of the pretreatment data according to the pretreatment data; calculating a time interval between adjacent time points;
a processing module for processing the gas flow according to the time interval between adjacent time points and the gas flow valueCalculating a gas consumption amount, wherein F (0) is a gas flow value at a start time point, Δt is a time interval between adjacent time points,is the sum of the gas flow values of the odd index positions,is the sum of the gas flow values of the even index positions,is the gas flow value at the end time point.
In a third aspect, a computing device includes:
one or more processors;
and a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the above-described methods.
In a fourth aspect, a computer readable storage medium stores a program that when executed by a processor implements the above method.
The scheme of the invention at least comprises the following beneficial effects:
the scheme of the invention realizes the automatic acquisition and processing of the gas flow data and avoids a great deal of repeated manual calculation workload. Noise and abnormal values in data acquired by the sensor can be effectively filtered through data preprocessing, and data accuracy is improved. The gas flow value of each time point can be obtained in real time, the time interval is automatically calculated, and the dynamic monitoring of the gas consumption is realized. By automatically counting the total gas consumption, errors caused by manual calculation can be avoided. The gas consumption data can be collected and analyzed in a statistical manner in real time, and the gas consumption monitoring in the production process is facilitated.
Drawings
Fig. 1 is a schematic flow chart of calculating a time interval between adjacent time points in a gas usage data collection method for optical fiber preform production according to an embodiment of the present invention.
FIG. 2 is a schematic diagram of a gas consumption data acquisition system for optical fiber preform production according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As shown in fig. 1, an embodiment of the present invention provides a method for collecting gas usage data for optical fiber preform production, the method comprising:
step 11, acquiring gas flow data detected by a sensor;
step 12, processing the gas flow data through a data processing unit to obtain preprocessing data;
step 13, acquiring gas flow values corresponding to each time point of the pretreatment data according to the pretreatment data;
step 14, calculating the time interval between adjacent time points;
step 15, according to the time interval between adjacent time points and the gas flow value, passingCalculating a gas consumption amount, wherein F (0) is a gas flow value at a start time point, Δt is a time interval between adjacent time points,is the sum of the gas flow values of the odd index positions,is the sum of the gas flow values of the even index positions,is the gas flow value at the end time point.
In the embodiment of the invention, the sensor arranged on the equipment is used for acquiring the flow data of the gas, so that the gas flow data in the production process of the optical fiber preform can be collected in real time, and basic data information is provided for the whole production process. The original gas flow data is processed, so that the influence of data noise and abnormal values can be reduced, the data performance is improved, and accurate data is provided for subsequent calculation. By acquiring the gas flow of each time point, the gas service condition of each time point can be recorded and finely analyzed, the fine monitoring and tracking of the gas flow in the whole production process are realized, and the accuracy of data monitoring is enhanced. By calculating the time interval, accurate time data is provided, so that the gas consumption calculation has both refinement and real-time performance, and the requirement for dynamic monitoring of gas consumption in the production process is met. The invention realizes the accurate statistics of the gas consumption in the production process of the optical fiber preform, is beneficial to accurately controlling the production cost, optimizing the production process, improving the production efficiency, simultaneously being beneficial to the management and control of the field environment, reducing the environmental impact and achieving the aim of green production.
In a preferred embodiment of the present invention, the processing of the gas flow data by the data processing unit to obtain pre-processed data comprises:
inputting the gas flow data output by the sensor into a data processing unit;
cleaning the collected data to obtain cleaned data;
smoothing the cleaned data to obtain smoothed data;
and interpolating the smooth data to fill in missing data points so as to obtain integrated data.
In the embodiment of the invention, the integrity of data is ensured, so that the analysis of the gas flow mode and the total amount is more accurate.
In a preferred embodiment of the present invention, according to the preprocessing data, obtaining a gas flow value corresponding to each time point of the preprocessing data, includes:
determining a time point for acquiring the gas flow value according to the time stamp information of the preprocessing data;
and extracting a corresponding gas flow value according to the determined time point.
In the embodiment of the invention, the clear record of the data acquisition time is beneficial to the subsequent arrangement and analysis of the data according to the time sequence, and the deep understanding and correct analysis of the time sequence data can be realized. The accurate acquisition of the gas flow value corresponding to each time point is ensured, and accurate basic data is provided for subsequent data analysis and model establishment. Meanwhile, the pertinence and the accuracy of data analysis are guaranteed, and the data utilization efficiency and the accuracy are greatly improved.
In a preferred embodiment of the present invention, after extracting the corresponding gas flow value according to the determined time point, it further comprises:
correcting the gas flow value to obtain correction data;
and storing the correction data into a corresponding data structure.
In the embodiment of the invention, the purpose of the correction step is to correct and normalize the extracted gas flow value, so that the influence of factors such as system deviation, sensor deviation and the like on the accuracy of data is eliminated, the corrected data accuracy is higher, the actual gas flow can be reflected more truly, and a reliable basis is provided for subsequent data analysis and processing. And the corrected data is stored, so that the management and the use of the data are facilitated. Different data can be stored in different data structures, so that the acquired data is effectively stored, and the usability and operability of the data are enhanced.
In a preferred embodiment of the invention, calculating the time interval between adjacent time points comprises:
acquiring a time point data set, and a gas flow value and a time stamp corresponding to each time point;
arranging the time point data sets in time sequence;
taking out two adjacent time points from the ordered time point data set as a pair of time points;
according to each time point pair, calculating a second time point minus the first time point to obtain a time difference value;
and (3) moving the first time point to a second time point, moving the second time point to the next time point, forming a new time point pair, circularly calculating until all time points are traversed, and calculating the time intervals between all adjacent time point pairs.
In the embodiment of the invention, the invention ensures that the subsequent calculation and processing are based on complete and accurate original data. The time point data sets are ordered, convenience is provided for subsequent calculation time intervals, subsequent calculation and processing are facilitated, and the calculation efficiency is improved. The time interval between every two adjacent time points is calculated finely, detailed and accurate time interval data are obtained, and a basis is provided for subsequent processing and analysis.
In a preferred embodiment of the present invention, the cleaning of the collected data to obtain cleaned data includes:
the acquired data is x= { X 1 ，x 2 ，…，x n}, wherein ,xi The calculation formula for the cleaned data Y, representing the i-th data point, is: y is i =f(x i )，i=1，2，…，n；
wherein ,, wherein ,[xmin ，x max ]In the range of normal values, x min
and xmax A minimum threshold value and a maximum threshold value, y i Is the ith data point in the sequence.
In the embodiment of the invention, a mathematical mode is established for the cleaning process, so that the cleaning process has normalization and operability, a foundation is provided for the subsequent data cleaning step, and the processing process is clearer. The abnormal value is cleared, the interference of the abnormal value can be effectively eliminated, the data quality is improved, the cleaned data is more representative and accurate, and the subsequent data analysis and model construction are facilitated.
In a preferred embodiment of the present invention, smoothing the cleaned data to obtain smoothed data includes:
for the cleaned data y= { Y 1 ，y 2 ，…，y n Smoothing to obtain smoothed dataZ={z 1 ，z 2 ，…，z i }；
wherein ,wherein ω is a weight parameter between 0 and 1, k is half the size of the smoothing window and is an integer, z i For the value of the i-th data point after smoothing, y i-k For the k data points before the ith data point, y i+k For k data points after the ith data point, z i-1 Is the value of the previous smoothed data point.
In the embodiment of the invention, the smoothed data has better stability and interpretability, the data value in the center of the window can be smoothed by calculating the weighted average value of the front data point and the rear data point in the window, the random fluctuation in the data can be effectively reduced, the stability of the data is enhanced, and the overfitting risk of a subsequent model is reduced.
As shown in fig. 2, an embodiment of the present invention further provides a gas usage data collection system 20 for optical fiber preform production, including:
an acquisition module 21 for acquiring gas flow data detected by the sensor; processing the gas flow data by a data processing unit to obtain preprocessing data; acquiring a gas flow value corresponding to each time point of the pretreatment data according to the pretreatment data; calculating a time interval between adjacent time points;
a processing module 22 for processing the gas flow according to the time interval between adjacent time points and the gas flow valueCalculating a gas consumption amount, wherein F (0) is a gas flow value at a start time point, Δt is a time interval between adjacent time points,is the sum of the gas flow values of the odd index positions,index to even numberThe sum of the gas flow values of the locations,is the gas flow value at the end time point.
Optionally, the processing, by the data processing unit, the gas flow data to obtain pre-processed data includes:
inputting the gas flow data output by the sensor into a data processing unit;
cleaning the collected data to obtain cleaned data;
smoothing the cleaned data to obtain smoothed data;
and interpolating the smooth data to fill in missing data points so as to obtain integrated data.
Optionally, according to the preprocessing data, acquiring a gas flow value corresponding to each time point of the preprocessing data, including:
determining a time point for acquiring the gas flow value according to the time stamp information of the preprocessing data;
and extracting a corresponding gas flow value according to the determined time point.
Optionally, after extracting the corresponding gas flow value according to the determined time point, the method further includes:
correcting the gas flow value to obtain correction data;
and storing the correction data into a corresponding data structure.
Optionally, calculating the time interval between adjacent time points includes:
acquiring a time point data set, and a gas flow value and a time stamp corresponding to each time point;
arranging the time point data sets in time sequence;
taking out two adjacent time points from the ordered time point data set as a pair of time points;
according to each time point pair, calculating a second time point minus the first time point to obtain a time difference value;
and (3) moving the first time point to a second time point, moving the second time point to the next time point, forming a new time point pair, circularly calculating until all time points are traversed, and calculating the time intervals between all adjacent time point pairs.
Optionally, cleaning the collected data to obtain cleaned data, including:
the acquired data is x= { X 1 ，x 2 ，…，x n}, wherein ,xi The calculation formula for the cleaned data Y, representing the i-th data point, is: y is i =f(x i )，i=1，2，…，n；
wherein ,, wherein ,[xmin ，x max ]In the range of normal values, x min
and xmax A minimum threshold value and a maximum threshold value, y i Is the ith data point in the sequence.
Optionally, smoothing the cleaned data to obtain smoothed data, including:
for the cleaned data y= { Y 1 ，y 2 ，…，y n Smoothing to obtain smoothed data Z= { Z } 1 ，z 2 ，…，z i }；
wherein ,wherein ω is a weight parameter between 0 and 1, k is half the size of the smoothing window and is an integer, z i For the value of the i-th data point after smoothing, y i-k For the k data points before the ith data point, y i+k For k data points after the ith data point, z i-1 Is the value of the previous smoothed data point.
It should be noted that the apparatus is an apparatus corresponding to the above method, and all implementation manners in the above method embodiment are applicable to this embodiment, so that the same technical effects can be achieved.
Embodiments of the present invention also provide a computing device comprising: a processor, a memory storing a computer program which, when executed by the processor, performs the method as described above. All the implementation manners in the method embodiment are applicable to the embodiment, and the same technical effect can be achieved.
Embodiments of the present invention also provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform a method as described above. All the implementation manners in the method embodiment are applicable to the embodiment, and the same technical effect can be achieved.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.
Furthermore, it should be noted that in the apparatus and method of the present invention, it is apparent that the components or steps may be disassembled and/or assembled. Such decomposition and/or recombination should be considered as equivalent aspects of the present invention. Also, the steps of performing the series of processes described above may naturally be performed in chronological order in the order of description, but are not necessarily performed in chronological order, and some steps may be performed in parallel or independently of each other. It will be appreciated by those of ordinary skill in the art that all or any of the steps or components of the methods and apparatus of the present invention may be implemented in hardware, firmware, software, or a combination thereof in any computing device (including processors, storage media, etc.) or network of computing devices, as would be apparent to one of ordinary skill in the art after reading this description of the invention.
The object of the invention can thus also be achieved by running a program or a set of programs on any computing device. The computing device may be a well-known general purpose device. The object of the invention can thus also be achieved by merely providing a program product comprising program code for implementing said method or apparatus. That is, such a program product also constitutes the present invention, and a storage medium storing such a program product also constitutes the present invention. It is apparent that the storage medium may be any known storage medium or any storage medium developed in the future. It should also be noted that in the apparatus and method of the present invention, it is apparent that the components or steps may be disassembled and/or assembled. Such decomposition and/or recombination should be considered as equivalent aspects of the present invention. The steps of executing the series of processes may naturally be executed in chronological order in the order described, but are not necessarily executed in chronological order. Some steps may be performed in parallel or independently of each other.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that various modifications and adaptations can be made without departing from the principles of the present invention, and such modifications and adaptations are intended to be comprehended within the scope of the present invention.
Claims (10)
1. The method for collecting gas consumption data for producing the optical fiber preform is characterized by comprising the following steps of: acquiring gas flow data detected by a sensor; processing the gas flow data by a data processing unit to obtain preprocessing data; acquiring a gas flow value corresponding to each time point of the pretreatment data according to the pretreatment data; calculating a time interval between adjacent time points; by time interval between adjacent time points and gas flow valueCalculating a gas consumption, wherein F (0) is a gas flow value at a start time point, Δt is a time interval between adjacent time points, +.>Is the sum of the gas flow values of the odd index positions, < >>Is the sum of the gas flow values of the even index positions, < >>Is the gas flow value at the end time point.
2. The method for acquiring gas usage data for producing an optical fiber preform according to claim 1, wherein the processing of the gas flow data by the data processing unit to obtain the preprocessing data comprises: inputting the gas flow data output by the sensor into a data processing unit; cleaning the collected data to obtain cleaned data; smoothing the cleaned data to obtain smoothed data; and interpolating the smooth data to fill in missing data points so as to obtain integrated data.
3. The method for acquiring the data of the amount of gas used for producing the optical fiber preform according to claim 2, wherein acquiring the gas flow value corresponding to each time point of the pretreatment data according to the pretreatment data comprises: determining a time point for acquiring the gas flow value according to the time stamp information of the preprocessing data; and extracting a corresponding gas flow value according to the determined time point.
4. The method for collecting gas usage data for optical fiber preform production according to claim 3, further comprising, after extracting the corresponding gas flow value according to the determined time point: correcting the gas flow value to obtain correction data; and storing the correction data into a corresponding data structure.
5. The method for collecting gas consumption data for optical fiber preform production according to claim 4, wherein calculating the time interval between adjacent time points comprises: acquiring a time point data set, and a gas flow value and a time stamp corresponding to each time point; arranging the time point data sets in time sequence; taking out two adjacent time points from the ordered time point data set as a pair of time points; according to each time point pair, calculating a second time point minus the first time point to obtain a time difference value; and (3) moving the first time point to a second time point, moving the second time point to the next time point, forming a new time point pair, circularly calculating until all time points are traversed, and calculating the time intervals between all adjacent time point pairs.
6. The method for collecting gas consumption data for optical fiber preform production according to claim 5, wherein cleaning the collected data to obtain cleaned data comprises: the acquired data is x= { X 1 ，x 2 ，…，x n}, wherein ,xi The calculation formula for the cleaned data Y, representing the i-th data point, is: y is i =f(x i ) I=1, 2, …, n; wherein,, wherein ,[xmin ，x max ]In the range of normal values, x min and xmax A minimum threshold value and a maximum threshold value, y i Is the ith data point in the sequence.
7. The method for collecting gas consumption data for optical fiber preform production according to claim 6, wherein smoothing the cleaned data to obtain smoothed data comprises: for the cleaned data y= { Y 1 ，y 2 ，…，y n Smoothing to obtain smoothed data Z= { Z } 1 ，z 2 ，…，z i}, wherein ,wherein ω is a weight parameter between 0 and 1, k is half the size of the smoothing window and is an integer, z i For the value of the i-th data point after smoothing, y i-k For the k data points before the ith data point, y i+k For k data points after the ith data point, z i-1 Is the value of the previous smoothed data point.
8. The utility model provides a gas quantity data acquisition system for optical fiber perform production which characterized in that includes: the acquisition module is used for acquiring the gas flow data detected by the sensor; processing the gas flow data by a data processing unit to obtain preprocessing data; acquiring a gas flow value corresponding to each time point of the pretreatment data according to the pretreatment data; calculating a time interval between adjacent time points; a processing module for processing the gas flow according to the time interval between adjacent time points and the gas flow valueCalculating a gas consumption amount, wherein F (0) is a gas flow value at a start time point, Δt is a time interval between adjacent time points,is the sum of the gas flow values of the odd index positions, < >>Is the sum of the gas flow values of the even index positions, < >>Is the gas flow value at the end time point.
9. A computing device, comprising: one or more processors; storage means for storing one or more programs which when executed by the one or more processors cause the one or more processors to implement the method of any of claims 1-7.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a program which, when executed by a processor, implements the method according to any of claims 1-7.
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