Photovoltaic production management system based on big data

Abstract

The invention discloses a photovoltaic production management system based on big data, and the system comprises a distributed database which is used for storing photovoltaic production data; the data acquisition module is used for acquiring operation parameters and product parameters of photovoltaic production equipment; and the data analysis module is used for analyzing the data acquired by the data acquisition module and obtaining an analysis result in combination with the photovoltaic production data in the distributed database, and the analysis result comprises operation abnormity of photovoltaic production equipment and product detection quality. According to the invention, an intelligent management system is adopted, which is convenient for managers to timely adjust the operation parameters or process flow of photovoltaic production equipment, reduces the photovoltaic production downtime and improves the yield of photovoltaic products; the energy consumption of photovoltaic production and photovoltaic production management is saved, the cost of photovoltaic production and photovoltaic production management is saved, and higher economical efficiency is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic production management, and more specifically, to a photovoltaic production management system based on big data. Background Art

[0002] Photovoltaic production refers to the manufacturing process of products related to solar photovoltaic power generation systems, covering a series of links from raw material processing to final photovoltaic product assembly. Its main goal is to efficiently convert solar energy into electrical energy and provide society with clean and renewable energy.

[0003] The current photovoltaic production management method mostly adopts equipment-based management. However, due to the large number of photovoltaic production equipment, the management is relatively decentralized. Once a problem occurs in production, it is often impossible to understand the abnormality of a certain process in time, and it can only be checked step by step. The photovoltaic production equipment is downtime for a long time, affecting the photovoltaic production efficiency and yield rate, and the cost of troubleshooting and maintenance is high. Summary of the invention

[0004] In view of the problems existing in the prior art, the purpose of the present invention is to provide a photovoltaic production management system based on big data to solve the background technology problems.

[0005] To achieve the above object, the present invention adopts the following technical solution:

[0006] A photovoltaic production management system based on big data, comprising:

[0007] A distributed database, wherein the distributed database is used to store photovoltaic production data;

[0008] A data acquisition module, which is used to collect operating parameters and product parameters of photovoltaic production equipment;

[0009] A data analysis module, which is used to analyze the data collected by the data collection module and obtain analysis results in combination with the photovoltaic production data in the distributed database, including abnormal operation of photovoltaic production equipment and product inspection quality;

[0010] A production monitoring platform, which is used to receive the analysis results of the data analysis module and display them in the form of charts, pictures and documents;

[0011] A production energy management module, the production energy management module includes an energy storage module and an energy management module, the energy storage module is used to store the electric energy generated during the photovoltaic cell finished product inspection process, and the energy management module is used to process the electric energy generated during the photovoltaic cell finished product inspection process and upload it to the energy storage module;

[0012] The early warning module is used to warn of faults and abnormalities occurring in the photovoltaic production line.

[0013] As a further description of the above technical solution:

[0014] The data acquisition module includes a production equipment data acquisition unit and a photovoltaic product data acquisition unit, and the production equipment data acquisition unit and the photovoltaic product data acquisition unit respectively detect photovoltaic production equipment operation data and generated photovoltaic product quality data.

[0015] As a further description of the above technical solution:

[0016] The energy management module is connected to the positive and negative electrodes of the finished photovoltaic cell. When the finished photovoltaic cell absorbs photon energy, the electrical energy generated by the finished photovoltaic cell is collected and uploaded to the energy storage module for storage.

[0017] As a further description of the above technical solution:

[0018] The data acquisition module is connected to the energy management module and the connection point of the finished photovoltaic cell in series and parallel mode to detect the output data of the finished photovoltaic cell.

[0019] As a further description of the above technical solution:

[0020] The photovoltaic production management system also includes a traceability module, which is used to obtain photovoltaic production data from a distributed database and analysis results from a data analysis module to trace the source of a fault.

[0021] As a further description of the above technical solution:

[0022] The photovoltaic cell finished product detection method obtains the photovoltaic power generation operation parameters of the photovoltaic cell finished product by directly irradiating the photovoltaic cell with sunlight or simulating direct sunlight irradiation.

[0023] As a further description of the above technical solution:

[0024] The photovoltaic production data stored in the distributed database includes equipment parameters, product parameters, fault category data and optimization data.

[0025] Compared with the prior art, the advantages of the present invention are:

[0026] (1) This solution uses an intelligent management system to facilitate managers to adjust the operating parameters or process flow of photovoltaic production equipment in a timely manner, reduce photovoltaic downtime, and improve the yield rate of photovoltaic products.

[0027] (2) This solution also collects and stores the electrical energy generated during some inspection processes of photovoltaic product parts through the production energy management module. The stored electrical energy can power photovoltaic production equipment and inspection equipment, thereby saving energy consumption in photovoltaic production and photovoltaic production management, saving costs in photovoltaic production and photovoltaic production management, and having higher economic efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a schematic diagram of the principle of the present invention;

[0029] Figure 2 It is a principle schematic diagram of the data acquisition module of the present invention;

[0030] Figure 3 This is a schematic diagram of the principle of producing an energy management module according to the present invention.

[0031] Description of the numbers in the figure:

[0032] 1. Distributed database; 2. Data acquisition module; 21. Production equipment data acquisition unit; 22. Photovoltaic product data acquisition unit; 3. Data analysis module; 4. Production monitoring platform; 5. Production energy management module; 51. Energy storage module; 52. Energy management module; 6. Early warning module; 7. Traceability module. DETAILED DESCRIPTION

[0033] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention;

[0034] See also Figure 1-3 , the present invention provides the following embodiments:

[0035] A photovoltaic production management system based on big data comprises: a distributed database 1, the distributed database 1 is used to store photovoltaic production data; a data acquisition module 2, the data acquisition module 2 is used to collect operating parameters and product parameters of photovoltaic production equipment; a data analysis module 3, the data analysis module 3 is used to analyze the collected data of the data acquisition module 2, and obtain analysis results in combination with the photovoltaic production data in the distributed database 1, including photovoltaic production equipment operation anomalies and product inspection quality; a production monitoring platform 4, the production monitoring platform 4 is used to receive the analysis results of the data analysis module 3 and display them in the form of charts, pictures and documents; a production energy management module 5, the production energy management module 5 comprises an energy storage module 51 and an energy management module 52, the energy storage module 51 is used to store the electric energy generated in the photovoltaic cell finished product inspection process, and the energy management module 52 is used to process the electric energy generated in the photovoltaic cell finished product inspection process and upload it to the energy storage module 51; an early warning module 6, the early warning module 6 is used to alarm and remind faults and anomalies generated in the photovoltaic production line.

[0036] In the present invention, a large amount of photovoltaic production data is collected by the distributed database 1. Based on this, when the data acquisition module 2 collects abnormal data of the photovoltaic production line and uploads it to the data analysis module 3, the data analysis module 3 can quickly analyze and identify the fault type and cause based on the sample data in the distributed database 1, and then display the analysis results through the production monitoring platform 4, and remind through the early warning module 6, so that the management personnel can adjust the operating parameters or process flow of the photovoltaic production equipment in time, reduce the photovoltaic downtime, and improve the yield rate of photovoltaic products. At the same time, the production energy management module 5 collects and stores the electric energy generated during some inspection processes of photovoltaic product parts, thereby saving energy and reducing production costs.

[0037] The data acquisition module 2 includes a production equipment data acquisition unit 21 and a photovoltaic product data acquisition unit 22. The production equipment data acquisition unit 21 and the photovoltaic product data acquisition unit 22 detect photovoltaic production equipment operation data and the generated photovoltaic product quality data respectively.

[0038] In the present invention, the energy management module 52 is connected to the positive and negative electrodes of the finished photovoltaic cell. When the finished photovoltaic cell absorbs photon energy, the electric energy generated by the finished photovoltaic cell is collected and uploaded to the energy storage module 51 for storage;

[0039] The data acquisition module 2 is connected to the energy management module 52 and the connection point of the finished photovoltaic cell in series and parallel to detect the output data of the finished photovoltaic cell.

[0040] During the process of collecting the operating data of the finished photovoltaic cells by the data collection module 2 in the photovoltaic production line, the electric energy generated is collected and sorted by the energy management module 52 and transmitted to the energy storage module 51 for storage. The energy storage module 51 may be a battery. The stored electric energy can power the photovoltaic production equipment and the testing equipment, thereby saving the energy consumption of photovoltaic production and photovoltaic production management, saving the cost of photovoltaic production and photovoltaic production management, and having higher economy.

[0041] See also Figure 1 , wherein: the photovoltaic production management system also includes a traceability module 7, which is used to obtain the photovoltaic production data of the distributed database 1 and the analysis results of the data analysis module 3 to trace the source of the fault.

[0042] In the present invention, based on the photovoltaic production data of the distributed database 1, the traceability module 7 compares and judges to determine the abnormal data source equipment, which is convenient for management personnel to adjust production parameters and processes in a targeted and rapid manner, thereby improving the efficiency and yield rate of photovoltaic production.

[0043] Among them: the detection method of the finished photovoltaic cell is to obtain the operating parameters of the photovoltaic power generation of the finished photovoltaic cell by directly irradiating it with sunlight or simulating direct sunlight irradiation.

[0044] In the present invention, when there is sufficient sunlight, sunlight is directly used to detect the operating data of the finished photovoltaic cell. When there is insufficient sunlight, sunlight is simulated to put the finished photovoltaic cell in an operating state. The electric energy of the simulated sunlight equipment can be stored in the energy storage module 51 to reduce energy consumption.

[0045] The photovoltaic production data stored in the distributed database 1 includes equipment parameters, product parameters, fault category data and optimization data.

[0046] The above is only a preferred specific implementation of the present invention; however, the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solution and its improved conception within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A photovoltaic production management system based on big data, characterized in that: include: A distributed database (1), wherein the distributed database (1) is used to store photovoltaic production data; A data acquisition module (2), the data acquisition module (2) being used to collect operating parameters and product parameters of photovoltaic production equipment; A data analysis module (3), the data analysis module (3) is used to analyze the data collected by the data collection module (2), and obtain analysis results in combination with the photovoltaic production data in the distributed database (1), including abnormal operation of photovoltaic production equipment and product inspection quality; A production monitoring platform (4), the production monitoring platform (4) is used to receive the analysis results of the data analysis module (3) and display them in the form of charts, pictures and documents; A production energy management module (5), the production energy management module (5) comprising an energy storage module (51) and an energy management module (52), the energy storage module (51) being used to store electric energy generated during the photovoltaic cell finished product inspection process, and the energy management module (52) being used to process the electric energy generated during the photovoltaic cell finished product inspection process and then upload it to the energy storage module (51); An early warning module (6) is used to issue an alarm for faults and abnormalities occurring in a photovoltaic production line.

2. A photovoltaic production management system based on big data according to claim 1, characterized in that: The data acquisition module (2) comprises a production equipment data acquisition unit (21) and a photovoltaic product data acquisition unit (22), wherein the production equipment data acquisition unit (21) and the photovoltaic product data acquisition unit (22) respectively detect photovoltaic production equipment operation data and generated photovoltaic product quality data.

3. The photovoltaic production management system based on big data according to claim 1 is characterized in that: The energy management module (52) is connected to the positive and negative electrodes of the finished photovoltaic cell, and when the finished photovoltaic cell absorbs photon energy, the electrical energy generated by the finished photovoltaic cell is collected and uploaded to the energy storage module (51) for storage.

4. The photovoltaic production management system based on big data according to claim 1, characterized in that: The data acquisition module (2) is connected to the energy management module (52) and the connection point of the finished photovoltaic cell in series and parallel manner to detect output data of the finished photovoltaic cell.

5. The photovoltaic production management system based on big data according to claim 1, characterized in that: The photovoltaic production management system further comprises a traceability module (7), wherein the traceability module (7) is used to obtain photovoltaic production data from a distributed database (1) and analysis results of a data analysis module (3) to trace the source of a fault.

6. The photovoltaic production management system based on big data according to claim 1, characterized in that: The photovoltaic cell finished product detection method obtains the photovoltaic power generation operation parameters of the photovoltaic cell finished product by directly irradiating the photovoltaic cell with sunlight or simulating direct sunlight irradiation.

7. The photovoltaic production management system based on big data according to claim 1, characterized in that: The photovoltaic production data stored in the distributed database (1) includes equipment parameters, product parameters, fault category data and optimization data.

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