CN115130863A - Photovoltaic module production quality analysis method and system, storage medium and computing equipment - Google Patents

Photovoltaic module production quality analysis method and system, storage medium and computing equipment Download PDF

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Publication number
CN115130863A
CN115130863A CN202210760818.8A CN202210760818A CN115130863A CN 115130863 A CN115130863 A CN 115130863A CN 202210760818 A CN202210760818 A CN 202210760818A CN 115130863 A CN115130863 A CN 115130863A
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China
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photovoltaic module
data
information
database
photovoltaic
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CN202210760818.8A
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Chinese (zh)
Inventor
田男男
马东东
刘雯慧
吴辰康
王光杰
崔越
刘龙泽
周振
江光祥
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Shanghai Hongpu Information Technology Co ltd
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Shanghai Hongpu Information Technology Co ltd
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Priority to CN202210760818.8A priority Critical patent/CN115130863A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395—Quality analysis or management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Abstract

The invention relates to a photovoltaic module production quality analysis method, a photovoltaic module production quality analysis system, a storage medium and computing equipment, wherein the photovoltaic module production quality analysis method comprises the following steps: collecting photovoltaic detection image data to obtain all photovoltaic module information; screening out the information of the defective photovoltaic module from the obtained photovoltaic module information; generating a defect information database according to the acquired defect information; displaying the well recorded and calculated data in the database; the method solves the problems of inaccurate defect statistics, non-visual defect display and non-timeliness in the photovoltaic detection process of a photovoltaic module factory; the defect data collection, intelligent analysis statistics and report display of the defect data can be carried out on the defect data more quickly by the photovoltaic module factory.

Description

Photovoltaic module production quality analysis method and system, storage medium and computing equipment
Technical Field
The invention relates to the technical field of photovoltaic production, in particular to a method and a system for analyzing the production quality of a photovoltaic module, a storage medium and computing equipment.
Background
In the photovoltaic detection industry, production line personnel are reduced along with the propulsion of manpower optimization projects, and anomaly analysis becomes more difficult. With the mature application of the intelligent detection of the photovoltaic module base, the automatic acquisition of mass production data and the intelligent analysis of abnormal reasons need to be realized, so that the labor cost caused by data statistics and abnormal analysis can be greatly reduced, and the time consumption and material loss caused by invalid analysis are reduced. The defects of the traditional manual detection battery piece are only detected by experience, whether the battery piece is a good product or not is judged by comparing human eyes with standard defects, and defect data is counted in a manual recording mode.
The method has the following defects: the data recording of the defects is inaccurate and not strict through manual work, the recorded data cannot reflect the overall defect distribution condition of the workshop in time, and the defect statistics is not visually performed.
The reason for such a deficiency arises: because the defect detection is carried out manually, the judgment of the defect is inaccurate; under a high-intensity working environment, the identified defects cannot be recorded in time for a long time; when the personnel are alternated, the loss and the error of the recorded data can be caused; the paper defect data record cannot be fed back in time.
Disclosure of Invention
In order to solve the problems, the invention provides a photovoltaic module production quality analysis method, a photovoltaic module production quality analysis system, a storage medium and computing equipment.
The invention provides a photovoltaic module production quality analysis method on one hand, which comprises the following steps:
collecting photovoltaic detection image data to obtain all photovoltaic module information;
screening out the information of the defective photovoltaic module from the obtained photovoltaic module information;
generating a defect information database according to the acquired defect information;
and displaying the well recorded and calculated data in the database.
Preferably, in displaying the data recorded in the database and already calculated, the method includes:
displaying the relevant analysis result of the workshop defect data in a chart form;
the recorded defect data is displayed in a report form and can be inquired in real time.
Preferably, in displaying the data recorded in the database and already calculated, the method further includes:
and according to different accessed data sources, the report to be displayed can be customized according to the customized query requirement.
Preferably, the method further comprises the following steps:
numbering the defective photovoltaic modules, and recording production process data of the defective photovoltaic modules;
and searching or inquiring the component number to acquire the production process data information of the defective component, and displaying the data information to realize traceability of the defective photovoltaic component.
Preferably, the method further comprises the following steps:
and acquiring the numerical value of the alarm line according to the component data of the workshop production line machine table, and reflecting the alarm line in the chart.
Preferably, the method further comprises the following steps:
determining the number of strings to be repaired of the photovoltaic module, wherein the formula is as follows:
and y is a + bx + epsilon, wherein a is an intercept term of the model, b is a slope term of the model, epsilon is an error term of the model, x is the yield, and y is the defective photovoltaic module.
The invention provides a photovoltaic module production quality analysis system in a second aspect, which comprises:
the acquisition unit is used for collecting photovoltaic detection image data to acquire all photovoltaic module information;
the screening unit screens out the information of the defective photovoltaic module from the acquired information of the photovoltaic module;
a database generating unit that generates a defect information database based on the acquired defect information;
and the display unit is used for displaying the data which are recorded in the database and already calculated.
Preferably, the method further comprises the following steps:
and the data alarm unit is used for acquiring alarm line numerical values according to the component data of the workshop production line machine table and reflecting the alarm lines in a chart.
A third aspect of the invention provides a storage medium having stored therein a plurality of instructions adapted to be loaded and executed by a processor to:
collecting photovoltaic detection image data to obtain all photovoltaic module information;
screening out the information of the defective photovoltaic module from the obtained photovoltaic module information;
generating a defect information database according to the acquired defect information;
and displaying the well recorded and calculated data in the database.
A fourth aspect of the present invention provides a computing device comprising:
a processor adapted to implement instructions; and
a storage medium adapted to store a plurality of instructions, the instructions adapted to be loaded and executed by a processor to:
collecting photovoltaic detection image data to obtain all photovoltaic module information;
screening out the information of the defective photovoltaic module from the obtained photovoltaic module information;
generating a defect information database according to the acquired defect information;
and displaying the well recorded and calculated data in the database.
The technical scheme of the invention has the following beneficial technical effects:
the problems that defect statistics is inaccurate, defect display is not visual and not timely in the photovoltaic detection process of a photovoltaic module factory are solved;
the defect data collection, intelligent analysis statistics and report display of the defect data can be carried out on the defect data more quickly by the photovoltaic module factory.
Drawings
FIG. 1 is a flow chart of the present invention;
fig. 2 is a system architecture diagram of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
Refer to fig. 1.
Example one
The embodiment provides a photovoltaic module production quality analysis method, which comprises the following steps:
step S1, collecting photovoltaic detection image data to acquire all photovoltaic module information;
and carrying out image detection to obtain all photovoltaic assembly information of the production line according to the assemblies produced by the production line machine table in the workshop.
Step S2, screening out the information of the defective photovoltaic module from the obtained photovoltaic module information;
numbering the defective photovoltaic modules, and recording production process data of the defective photovoltaic modules;
and searching or inquiring the component number to acquire the production process data information of the defective component, and displaying the data information to realize traceability of the defective photovoltaic component.
Step S3, generating a defect information database based on the acquired defect information;
step S4, displaying the data recorded in the database and already calculated, including:
displaying the relevant analysis result of the workshop defect data in a chart form;
and displaying the recorded defect data in a report form, and inquiring in real time.
And according to different accessed data sources, the report to be displayed can be customized according to the customized query requirement.
The method also comprises a data alarming step:
and acquiring the numerical value of the alarm line according to the component data of the workshop production line machine table, and reflecting the alarm line in the chart.
Specifically, based on the component data produced by the machine of the workshop production line, the reject ratio of the bad components of the machine of the current workshop production line can be calculated, the reject ratio of the bad components is equal to the number of the bad components/the number of the produced components, the calculated reject ratio of each machine per minute is stored in a database, the fluctuation range of the reject ratio is set to be [ -3%, 3% ], and the average value a of the reject ratios is calculated (the data with the fluctuation range of the reject ratio larger than 5% are not included in the calculation); the standard deviation b of the fraction defective, the alarm value mode is mean value a ± standard deviation b × 1.75, and the mean value here may be a mean value of a period of time before the current day.
As examples: e.g., 5 minutes, 1 hour, 1 day; selecting standard deviation of corresponding time period according to the standard deviation; the multiple is set based on field production conditions. The numerical value of an alarm line is obtained in the mode of the obtained yield alarm value, the alarm line is reflected in a chart, and a field operator knows the production condition of a production line through the alarm line, so that the purpose of intelligent alarm is achieved.
The method further comprises the following steps of predicting the number of strings to be repaired:
determining the number of strings to be repaired of the photovoltaic module, wherein the formula is as follows:
and y is a + bx + epsilon, wherein a is an intercept term of the model, b is a slope term of the model, epsilon is an error term of the model, x is the yield, and y is the defective photovoltaic module.
The yield is set as independent variable X, the unqualified component quantity is set as dependent variable Y, and the data quantity is n. The formula of the model is that y is a + bx + epsilon, a is an intercept term of the model, b is a slope term of the model, and epsilon is an error term of the model. We set ε to the ideal value of 0; wherein:
the overall computational logic is as follows: 1. calculating the sum of independent variables x; 2. calculating the sum of the dependent variables y; 3. calculating the sum of the squares of the independent variables; 4. calculating the product of the independent variable and the dependent variable; 5. calculating the sum of the products of the independent variable and the dependent variable; the value of b is subtracted from the sum of the independent and dependent variable products ((sum of independent variables X sum of dependent variables Y)/n)/(sum of independent variables squared-sum of independent variables X squared/number n)7. the value of a is the average of Y-the average of b X;
and deducing the number of strings to be reworked of the assembly according to the calculated values of a and b and the predicted yield of each day for reference of field personnel, so that the field personnel predict the condition to be reworked of the production line in advance, and further, combining the raw material batch and the predicted quality data to obtain a future purchasing decision.
Example two
The embodiment provides a photovoltaic module production quality analysis system, includes:
the acquisition unit is used for collecting photovoltaic detection image data to acquire all photovoltaic module information;
and carrying out image detection to obtain all photovoltaic assembly information of the production line by obtaining the assemblies produced by the production line machine table in the workshop.
The screening unit is used for screening out the information of the defective photovoltaic module from the obtained photovoltaic module information;
screening out the information of the defective photovoltaic modules from the obtained photovoltaic modules, and inputting the information one by one;
preferably, the defective photovoltaic module is numbered, and production process data of the defective photovoltaic module is recorded;
the defect photovoltaic module production process data information can be obtained by searching or inquiring the module number, and the data information can be displayed to realize traceability of the defect photovoltaic module.
A database generating unit that generates a defect information database based on the acquired defect information; the database can also be matched with an updating unit to update the data of the database on time or in real time.
And recording the defect photovoltaic module information which is input one by one, and performing data calculation, statistics and intelligent analysis through a big data calculation platform, wherein the analysis result is also input into a database.
The display unit displays the data which are recorded in the database and are calculated, and comprises:
displaying a relevant analysis result of the workshop defect data in a chart form;
and displaying the recorded defect data in a report form, and inquiring in real time.
In order to reduce the workload and improve the working efficiency:
and according to different accessed data sources, the report to be displayed can be customized according to the customized query requirement.
The report system reads the data calculated by the big data calculation platform from the database, and performs table rendering through a front-end technology, so that the data are displayed.
And the data alarm unit is used for acquiring alarm line numerical values according to the component data of the workshop production line machine table and reflecting the alarm lines in a chart.
Refer to FIG. 2
The above system of the present invention further comprises:
the information collecting client is arranged on a production line, is suitable for windows and other computer operating systems, and is used for collecting and collecting photovoltaic detection image data and displaying an image detection result;
the proxy IP is a set of IP addresses that,
the IP address is used for connecting the client, and the IP address can uniformly send the data of the client to the load balancing server 1 and the load balancing server 2;
the unified data service is used as a web service and is used for collecting and processing the data of the load balancing server;
the data buffer pool is used as an application technology and has the buffer function for writing data with large data volume, so that the data cannot be lost;
a big data computing platform. As a data processing technology, the method can be used for calculating, counting and analyzing data with large data volume;
databases including Mysql, mongodb database, elasticsearch database, object storage for storing data;
the reporting system is used as a web service for displaying the data which are recorded in the database and already calculated.
The treatment process comprises the following steps:
the client side transmits the defect data of the photovoltaic cell to the proxy IP, the proxy IP uniformly transmits the defect data to the unified data service 1 and the unified data service 2 through the load balancing server, the unified data service 1 and the unified data service 2 can put the data into the data buffer pool, and the big data computing platform can take the required data from the database for computing, counting and intelligent analysis. And similarly, the analysis result is written into the database, the table system reads the data calculated by the big data computing platform from the database, and the table rendering is carried out through the front-end technology, so that the data are displayed.
EXAMPLE III
The present embodiments provide a storage medium having stored therein a plurality of instructions adapted to be loaded and executed by a processor to:
collecting photovoltaic detection image data to obtain all photovoltaic module information;
screening out the information of the defective photovoltaic module from the obtained photovoltaic module information;
generating a defect information database according to the acquired defect information;
and displaying the well recorded and calculated data in the database.
Example four
The present embodiments provide a computing device, comprising:
a processor adapted to implement instructions; and
a storage medium adapted to store a plurality of instructions adapted to be loaded and executed by a processor to:
collecting photovoltaic detection image data to obtain all photovoltaic module information;
screening out the information of the defective photovoltaic module from the obtained photovoltaic module information;
generating a defect information database according to the acquired defect information;
and displaying the well recorded and calculated data in the database.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention.

Claims (10)

1. The photovoltaic module production quality analysis method is characterized by comprising the following steps:
collecting photovoltaic detection image data to obtain all photovoltaic module information;
screening out the information of the defective photovoltaic module from the obtained photovoltaic module information;
generating a defect information database according to the acquired defect information;
and displaying the data which is recorded in the database and is calculated.
2. The method for analyzing the production quality of the photovoltaic module as claimed in claim 1, wherein the displaying the data recorded in the database and calculated comprises:
displaying the relevant analysis result of the workshop defect data in a chart form;
and displaying the recorded defect data in a report form, and inquiring in real time.
3. The method for analyzing the production quality of the photovoltaic module according to claim 2, wherein the displaying the data recorded in the database and calculated, further comprises:
and according to different accessed data sources, the report to be displayed can be customized according to the customized query requirement.
4. The photovoltaic module production quality analysis method according to claim 1, further comprising:
numbering the defective photovoltaic modules, and recording production process data of the defective photovoltaic modules;
and searching or inquiring the component number to acquire the production process data information of the defective component, and displaying the data information to realize traceability of the defective photovoltaic component.
5. The photovoltaic module production quality analysis method according to claim 2, comprising:
and acquiring the numerical value of the alarm line according to the component data of the workshop production line machine table, and reflecting the alarm line in the chart.
6. The photovoltaic module production quality analysis method according to claim 1, further comprising:
determining the number of strings to be repaired of the photovoltaic module, wherein the formula is as follows:
and y is a + bx + epsilon, wherein a is an intercept term of the model, b is a slope term of the model, epsilon is an error term of the model, x is the yield, and y is the defective photovoltaic module.
7. Photovoltaic module production quality analysis system, its characterized in that includes:
the acquisition unit is used for collecting photovoltaic detection image data to acquire all photovoltaic module information;
the screening unit screens out the information of the defective photovoltaic module from the acquired information of the photovoltaic module;
a database generating unit that generates a defect information database based on the acquired defect information;
and the display unit is used for displaying the data which are recorded in the database and are calculated.
8. The photovoltaic module production quality analysis system according to claim 7, further comprising:
and the data alarm unit acquires alarm line numerical values according to the component data of the workshop production line machine table and reflects the alarm lines in the chart.
9. A storage medium having stored therein a plurality of instructions, the instructions adapted to be loaded and executed by a processor to:
collecting photovoltaic detection image data to obtain all photovoltaic module information;
screening out the information of the defective photovoltaic module from the obtained photovoltaic module information;
generating a defect information database according to the acquired defect information;
and displaying the well recorded and calculated data in the database.
10. A computing device, comprising:
a processor adapted to implement instructions; and
a storage medium adapted to store a plurality of instructions, the instructions adapted to be loaded and executed by a processor to:
collecting photovoltaic detection image data to obtain all photovoltaic module information;
screening out the information of the defective photovoltaic module from the obtained photovoltaic module information;
generating a defect information database according to the acquired defect information;
and displaying the well recorded and calculated data in the database.
CN202210760818.8A 2022-06-29 2022-06-29 Photovoltaic module production quality analysis method and system, storage medium and computing equipment Pending CN115130863A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210760818.8A CN115130863A (en) 2022-06-29 2022-06-29 Photovoltaic module production quality analysis method and system, storage medium and computing equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210760818.8A CN115130863A (en) 2022-06-29 2022-06-29 Photovoltaic module production quality analysis method and system, storage medium and computing equipment

Publications (1)

Publication Number Publication Date
CN115130863A true CN115130863A (en) 2022-09-30

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Country Status (1)

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