CN114841050A - Equal path link power SOP setting method, system, computer device and storage medium - Google Patents
Equal path link power SOP setting method, system, computer device and storage medium Download PDFInfo
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Abstract
The invention provides a method, a system, computer equipment and a storage medium for setting power SOP of an equal path link, which comprises the following steps: s1: acquiring basic source data of equal-diameter link power in different furnace platforms, different furnace times and different crystal forming multidimensional production processes in a single crystal drawing process; s2: processing the acquired source data, screening and converting the source data into a plurality of power parameters which are easy to identify and mark in the constant diameter link of each crystal, and acquiring a data set of all the power values of the constant diameter link of the crystal; s3: establishing an equal-diameter node model for each power value in the equal-diameter link of each crystal through deep learning; s4: and the equal-diameter node model selects a historical optimal curve through an algorithm to carry out fitting optimization, and generates the optimal power SOP setting. The method has the advantages that the constant-path power SOP set value of the current heat is fitted by performing big data analysis on historical data of different furnace platforms, and the self-optimization of the constant-path power SOP model is realized.
Description
Technical Field
The invention belongs to the technical field of photovoltaics, and particularly relates to a method and a system for setting power SOP of an equal-diameter link, computer equipment and a storage medium.
Background
The process of pulling the single crystal mainly comprises the steps of temperature stabilization, seeding, shouldering, diameter equalization, ending and the like. The SOP file of the current single crystal furnace platform equal-diameter power process needs a craftsman to specially take charge of revision, the manual revision of the SOP can only achieve the revision of dimensions such as different furnace types, different systems, different residual material weights and the like, the SOP cannot be refined to a specific furnace platform, the single crystal furnace is individual, and one set of SOP cannot meet all furnace platform characteristics.
Disclosure of Invention
The invention aims to provide a method, a system, computer equipment and a storage medium for setting power SOP of an equal-diameter link, which are suitable for setting the power SOP of the equal-diameter link based on big data.
In order to solve the technical problems, the invention adopts the technical scheme that: the method for setting the SOP of the equal-diameter link power comprises the following steps:
s1: acquiring basic source data of equal-diameter link power in different furnace platforms, different furnace times and different crystal forming multidimensional production processes in a single crystal drawing process;
s2: processing the acquired source data, screening and converting the source data into a plurality of power parameters which are easy to identify and mark in the constant diameter link of each crystal, and acquiring a data set of all the power values of the constant diameter link of the crystal;
s3: establishing an equal-diameter node model for each power value in the equal-diameter link of each crystal through deep learning;
s4: the equal-diameter node model selects a historical optimal curve through an algorithm to carry out fitting optimization, and generates optimal power SOP setting;
s5: and the equal-diameter node model carries out SOP iterative optimization on the power through a time series algorithm.
Further, the power SOP iterative optimization step in S5 includes: and automatically analyzing all power curves of the pulled single crystal corresponding to the current hearth SOP version by the equal-diameter node model, fitting the power defect matching degree, and identifying the current heat and hearth characteristics through big data analysis.
Further, the step of iteratively optimizing the power SOP in S5 further includes: and automatically and iteratively optimizing the power SOP of the current heat by combining the historical power curve fitting degree and a time series algorithm.
Furthermore, all the power parameters of the equal diameter links in each crystal are configured and displayed in a terminal display of a single crystal furnace where the crystal is pulled.
A power SOP setting system, the system comprising:
acquiring a source data unit: acquiring basic source data of equal-diameter link power in different furnace platforms, different furnace times and different crystal forming multidimensional production processes in a single crystal drawing process;
processing the source data unit: processing the acquired source data, screening and converting the source data into a plurality of power parameters which are easy to identify and mark in the constant diameter link of each crystal, and acquiring a data set of all the power values of the constant diameter link of the crystal;
establishing a model unit: establishing an equal-diameter node model for each power value in the equal-diameter link of each crystal through deep learning;
generating an SOP unit: the equal-diameter node model selects a historical optimal curve through an algorithm to carry out fitting optimization, and generates optimal power SOP setting;
an iteration optimization unit: and the equal-diameter node model performs SOP iterative optimization on the power through a time series equal algorithm.
Further, the power SOP iterative optimization step in the iterative optimization unit includes: the equal-diameter node model automatically analyzes power curves of all pulled single crystals corresponding to the current hearth SOP version, fits the power defect matching degree, and identifies the current heat and hearth characteristics through big data analysis.
Further, the step of power SOP iterative optimization in the iterative optimization unit further includes: and automatically and iteratively optimizing the power SOP of the current heat by combining the historical power curve fitting degree and a time series algorithm.
Furthermore, all the power parameters of the constant diameter links in each crystal are configured and displayed in a terminal display of a single crystal furnace in which the crystal is pulled.
A computer device comprising a memory and a processor; the memory stores a computer program; the processor, configured to execute the computer program and, when executing the computer program, to cause the processor to perform the steps of the method for setting a power SOP of a constant diameter link according to any of claims 1-4.
A computer-readable storage medium storing a computer program which, when executed by the processor, causes the processor to perform the steps of the constant path link power SOP setting method as claimed in any one of claims 1-4.
Due to the adoption of the technical scheme, the method has the following advantages:
according to the technical scheme, big data analysis can be performed on historical data of different stoves, the set value of equal-diameter power SOP of the current stove is fitted, the self-optimization of the equal-diameter power SOP model is realized, and a process worker is omitted to revise the SOP file; the intelligent crystal pulling method can effectively carry out intelligent crystal pulling in big data and deep learning, utilizes big data analysis and executes an optimization scheme, and then organically combines the big data and the deep learning, thereby improving the crystal pulling quality and the crystal pulling efficiency and reducing the crystal pulling cost.
Drawings
FIG. 1 is a flow chart of a power SOP setting method in an equal path link according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a power SOP setting system in the constant path link according to an embodiment of the present invention.
Detailed Description
The invention is further illustrated by the following examples and figures:
in an embodiment of the present invention, as shown in fig. 1, the power SOP setting method based on big data includes the steps of:
s1: acquiring basic source data of equal-diameter link power in different furnace platforms, different furnace times and different crystal forming multidimensional production processes in a single crystal drawing process;
specifically, the basic source data includes production process data and/or raw material and auxiliary material data and/or quality data. The data of the production process of the equal-diameter link comprise equipment names, start-stop time of the equal-diameter link, batch numbers, process modes and the like. The raw and auxiliary material data comprise the material preparation date, the material preparation serial number, the number of the staff in the equal-diameter link, the number of the furnaces, the furnace platforms and the like; quality data includes single crystal number, length, weight, diameter, resistivity, lifetime, oxygen content, carbon content, defects, etc. for each crystal.
The SOP file of the current single crystal furnace platform equal-diameter power process needs a craftsman to specially take charge of revision, the manual revision of the SOP can only achieve the revision of dimensions such as different furnace types, different systems, different residual material weights and the like, the SOP cannot be refined to a specific furnace platform, the single crystal furnace is individual, and one set of SOP cannot meet all furnace platform characteristics. Therefore, the basic source data of the power of the equal-diameter link in the single crystal drawing process, different furnaces and different crystal forming multi-dimensional production processes are obtained, and the method can be adapted to various operating environments.
S2: and (4) processing the source data acquired in the step (S1), screening and converting the source data into a plurality of power parameters which are easy to identify and mark in each crystal constant diameter link, and acquiring a data set of all power values of the crystal constant diameter link.
Specifically, the basic data of each node is extracted, converted, loaded from the source end to the destination end, extracted, screened, and converted into a plurality of parameters that are easy to identify and mark in the node, so as to obtain a data set of parameter values that are easy to compare with the parameters in the standard module.
All power parameters of the equal-diameter link in each crystal are configured and displayed in a terminal display of a single crystal furnace where the crystal is drawn, and real-time monitoring can be carried out.
S3: establishing an equal-diameter node model for the numerical value of each power in the equal-diameter link of each crystal through deep learning;
s4: and the isodiametric node model in the step S3 selects a historical optimal curve through an algorithm to carry out fitting optimization, so that optimal power SOP setting is generated, and the power SOP setting is preliminarily completed.
S5: and performing SOP iterative optimization on the power by using the equal-diameter node model through a time series algorithm.
Specifically, the step of power SOP iterative optimization in step S5 includes: automatically analyzing all power curves of the pulled single crystal corresponding to the current SOP version of the furnace platform by using the equal-diameter node model, fitting the power defect matching degree, and identifying the current heat and the furnace platform characteristics by using big data analysis;
specifically, the step of power SOP iterative optimization in step S5 further includes: and automatically and iteratively optimizing the SOP of the current heat power by combining the fitting degree of the historical power curve and a time series algorithm.
A system for setting SOP of constant path link power, as shown in fig. 2, the system comprising:
acquiring a source data unit: acquiring basic source data of equal-diameter link power in different furnace platforms, different furnace times and different crystal forming multidimensional production processes in a single crystal drawing process;
processing the source data unit: processing the acquired source data, screening and converting the source data into a plurality of power parameters which are easy to identify and mark in each crystal constant diameter link, and acquiring a data set of all power values of the crystal constant diameter link;
establishing a model unit: establishing an equal-diameter node model for the numerical value of each power in the equal-diameter link of each crystal through deep learning;
generating an SOP unit: selecting a historical optimal curve by the equal-diameter node model through an algorithm to carry out fitting optimization to generate optimal power SOP setting;
an iteration optimization unit: and performing power SOP iterative optimization on the equal-diameter node model through a time series equal algorithm.
Specifically, the power SOP iterative optimization step in the iterative optimization unit is as follows: automatically analyzing all power curves of the pulled single crystal corresponding to the current SOP version of the furnace platform by using the equal-diameter node model, fitting the power defect matching degree, and identifying the current heat and the furnace platform characteristics by using big data analysis;
and automatically and iteratively optimizing the SOP of the current heat power by combining the historical power curve fitting degree and a time series algorithm.
In this embodiment, the model is an equal-diameter node model, wherein
All power parameters of the equal-diameter link in each crystal are configured and displayed in a terminal display of a single crystal furnace where the crystal is drawn, and real-time monitoring can be carried out.
A computer device comprising a memory and a processor; the memory stores a computer program; a processor for executing the computer program and, when executing the computer program, causing the processor to perform the steps of any of the big-data based power SOP setting methods as described above.
A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of the big-data based power SOP setting method as any one of the above.
According to the embodiment, big data analysis can be performed on historical data of different furnaces, isometric links in multidimensional production processes of different furnaces, different furnaces and different crystal formations are matched, the set value of the isometric power SOP of the current furnace is fitted, the isometric power SOP model is self-optimized, and a process worker is cancelled to revise an SOP file.
The embodiments of the present invention have been described in detail, but the description is only for the preferred embodiments of the present invention and should not be construed as limiting the scope of the present invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (10)
1. A method for setting SOP (System on a programmable chip) of equal-diameter link power is characterized by comprising the following steps:
s1: acquiring basic source data of equal-diameter link power in different furnace platforms, different furnace times and different crystal forming multidimensional production processes in a single crystal drawing process;
s2: processing the acquired source data, screening and converting the source data into a plurality of power parameters which are easy to identify and mark in the constant diameter link of each crystal, and acquiring a data set of all the power values of the constant diameter link of the crystal;
s3: establishing an equal-diameter node model for each power value in the equal-diameter link of each crystal through deep learning;
s4: the equal-diameter node model selects a historical optimal curve through an algorithm to carry out fitting optimization, and generates optimal power SOP setting;
s5: and the equal-diameter node model carries out SOP iterative optimization on the power through a time series algorithm.
2. The method for setting SOP of the constant path link power according to claim 1, wherein: the power SOP iterative optimization step in S5 includes: the equal-diameter node model automatically analyzes power curves of all pulled single crystals corresponding to the current hearth SOP version, fits the power defect matching degree, and identifies the current heat and hearth characteristics through big data analysis.
3. The method for setting SOP of the constant path link power according to claim 2, wherein: the step of iteratively optimizing the power SOP in S5 further includes: and automatically and iteratively optimizing the power SOP of the current heat by combining the historical power curve fitting degree and a time series algorithm.
4. The method for setting SOP of the constant path link power according to claim 1, wherein: all the power parameters of the constant diameter links in each crystal are configured and displayed in a terminal display of a single crystal furnace in which the crystal is pulled.
5. A power SOP setting system, the system comprising:
acquiring a source data unit: acquiring basic source data of equal-diameter link power in different furnace platforms, different furnace times and different crystal forming multidimensional production processes in a single crystal drawing process;
processing the source data unit: processing the acquired source data, screening and converting the source data into a plurality of power parameters which are easy to identify and mark in the constant diameter link of each crystal, and acquiring a data set of all the power values of the constant diameter link of the crystal;
establishing a model unit: establishing an equal-diameter node model for each power value in the equal-diameter link of each crystal through deep learning;
generating an SOP unit: the equal-diameter node model selects a historical optimal curve through an algorithm to carry out fitting optimization, and generates optimal power SOP setting;
an iteration optimization unit: and the equal-diameter node model performs SOP iterative optimization on the power through a time series equal algorithm.
6. The power SOP setting system of claim 5, wherein said power SOP iterative optimization step in said iterative optimization unit comprises: the equal-diameter node model automatically analyzes power curves of all pulled single crystals corresponding to the current hearth SOP version, fits the power defect matching degree, and identifies the current heat and hearth characteristics through big data analysis.
7. The power SOP setting system of claim 5, wherein said power SOP iterative optimization step in said iterative optimization unit further comprises: and automatically and iteratively optimizing the power SOP of the current heat by combining the historical power curve fitting degree and a time series algorithm.
8. The power SOP setting system of claim 5, wherein all of the power parameters of the constant diameter segments in each crystal are configured to be displayed in a terminal display of a single crystal furnace in which the crystal is being pulled.
9. A computer device comprising a memory and a processor; the memory stores a computer program; the processor, configured to execute the computer program and, when executing the computer program, to cause the processor to perform the steps of the method for setting a power SOP of a constant diameter link according to any of claims 1-4.
10. A computer-readable storage medium, characterized in that a computer program is stored which, when being executed by the processor, causes the processor to carry out the steps of the constant path link power SOP setting method according to any one of claims 1-4.
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