Battery piece production quality query method and device and readable storage medium

Abstract

The invention provides a battery piece production quality query method and device and a readable storage medium, and relates to the technical field of solar cells. The method comprises the following steps: acquiring a target equipment identifier of to-be-queried offline production equipment, an actual basket identifier of a target basket, and a first pull-in time point when the target basket enters the to-be-queried offline production equipment in a battery piece production process; in a battery piece production database, on the basis of a target equipment identifier, an actual flower basket identifier and a first pull-in time point, electrical performance parameter data of all target battery pieces produced by using a target flower basket within a target production query time period after offline production equipment to be queried is merged into an original battery piece online production system is searched; and performing data comprehensive analysis on the searched electrical performance parameter data to obtain a battery piece production quality result file of the offline production equipment to be queried, thereby improving the battery piece production quality result output efficiency and result accuracy of the offline production equipment.

Description

Technical Field

[0001] This application relates to the field of solar cell technology, and more specifically, to a method and apparatus for querying the production quality of solar cells and a readable storage medium. Background Technology

[0002] With the continuous advancement of technology and the rapid development of the photovoltaic industry, the application scope and demand of solar cells are increasing day by day. The types of solar cells and the production processes of solar cells are also constantly iterating and updating. Generally speaking, although improved solar cells and traditional solar cells of the same type may involve some similar production processes in the cell production process, there are significant differences in specific production processes. Often, photovoltaic manufacturers need to introduce offline cell production equipment that represents specific production processes on the basis of the original online cell production system of traditional solar cells. They also need to evaluate the impact of the production processes represented by the corresponding offline production equipment on the cell quality based on the cell performance, thereby verifying the reliability of the solar cell improvement ideas and facilitating the improvement of production processes by solar cell designers.

[0003] However, it is worth noting that existing cell production quality assessment schemes for offline production equipment require manual searching through a vast amount of cell production data to find relevant data related to that offline production equipment. This data is then manually grouped and analyzed to obtain preliminary cell production quality results. This type of cell production quality assessment scheme is inherently susceptible to limitations in human energy and subjective human judgment, resulting in low efficiency in outputting quality results, poor accuracy of quality results, and high labor costs. This significantly impacts the efficiency and accuracy of improving battery production processes. Summary of the Invention

[0004] In view of this, the purpose of this application is to provide a method, device and readable storage medium for querying the production quality of solar cells. This method can automatically filter the electrical performance parameter data of solar cells associated with a specified basket and located in an offline production equipment in conjunction with the original online production system of solar cells from the solar cell production database for solar cell production quality analysis. This improves the output efficiency and accuracy of solar cell production quality results for offline production equipment by reducing human operation interference and unnecessary data interference during the solar cell quality analysis process. This facilitates the improvement of the efficiency of operation and the reliability of improvement schemes for solar cell production processes.

[0005] To achieve the above objectives, the technical solutions adopted in the embodiments of this application are as follows: Firstly, this application provides a method for querying the production quality of battery cells, the method comprising: obtain a query information file for the offline production equipment to be queried, wherein the query information file comprises a target equipment identifier of the offline production equipment to be queried, an actual flower basket identifier of a target flower basket, and a first entry time point of the target flower basket into the offline production equipment to be queried in a battery piece production process; find, in a battery piece production database, based on the target equipment identifier, the actual flower basket identifier, and the first entry time point, all target battery pieces produced by the offline production equipment to be queried using the target flower basket within a target production query time period after the offline production equipment to be queried is incorporated into an original battery piece online production system, wherein the target production query time period is associated with the first entry time point; perform data comprehensive analysis based on the respective electrical performance parameter data of all the target battery pieces to obtain a battery piece production quality result file of the offline production equipment to be queried.

[0006] In an optional embodiment, the battery piece production database records respective electrical performance parameter data, piece forming time points, and associated flower basket identifiers of all battery pieces, and respective equipment production data of all battery piece manufacturing equipment involved in actual production processes of the corresponding battery pieces, and the step of finding, in the battery piece production database, based on the target equipment identifier, the actual flower basket identifier, and the first entry time point, all target battery pieces produced by the offline production equipment to be queried using the target flower basket within a target production query time period after the offline production equipment to be queried is incorporated into an original battery piece online production system, comprises: determining the target production query time period based on the first entry time point and a preset production query duration; finding, in the battery piece production database, all candidate battery pieces whose piece forming time points are within the target production query time period and match the target equipment identifier and the actual flower basket identifier; extracting respective electrical performance parameter data of the all candidate battery pieces at the battery piece production database as electrical performance parameter data of a target battery piece.

[0007] In an optional embodiment, the step of determining the target production query time period based on the first entry time point and a preset production query duration, comprises: constructing an entry monitoring time period for the target flower basket according to the first entry time point and a maximum entry monitoring duration; finding, based on flower basket entry time points and entry flower basket identifiers recorded in equipment production data of all battery piece manufacturing equipment in the battery piece production database, all candidate entry time points corresponding to the actual flower basket identifier of the target flower basket and within the entry monitoring time period; select a second access time point closest to the first access time point from all candidate access time points, and take the second access time point as a starting query time point, construct a query time period according to the preset production query time length, and obtain the target production query time period.

[0008] In an optional embodiment, the step of constructing an access monitoring time period for the target flower basket according to the first access time point and the maximum access monitoring time length comprises: taking the first access time point as a starting monitoring time point, predicting an ending monitoring time point according to the maximum access monitoring time length, and obtaining a corresponding estimated ending time point; detecting whether the estimated ending time point belongs to a future time point of the current query time; In the case where it is detected that the estimated ending time point does not belong to a future time point of the current query time, a time period is directly constructed according to the first access time point and the estimated ending time point, and an access monitoring time period for the target flower basket is obtained.

[0009] In an optional embodiment, the step of constructing an access monitoring time period for the target flower basket according to the first access time point and the maximum access monitoring time length further comprises: In the case where it is detected that the estimated ending time point belongs to a future time point of the current query time, a time period is directly constructed according to the first access time point and the current query time, and an access monitoring time period for the target flower basket is obtained.

[0010] In an optional embodiment, the electrical performance parameter data of any battery piece includes actual index values corresponding to at least one electrical performance parameter index of the corresponding battery piece, and the step of performing data comprehensive analysis on the electrical performance parameter data of all target battery pieces to obtain a battery piece production quality result file of the offline production equipment to be queried comprises: for each electrical performance parameter index in the at least one electrical performance parameter index, performing an arithmetic mean value operation on the actual index values corresponding to the electrical performance parameter index of each target battery piece to obtain a battery piece production quality score of the offline production equipment to be queried for the electrical performance parameter index; data file arrangement is performed on the actual workshop identifier of the original battery piece online production system, the actual flower basket identifier of the target flower basket, the starting query time point of the target production query time period, and the battery piece production quality score of each electrical performance parameter index, and a battery piece production quality result file of the offline production equipment to be queried is obtained.

[0011] In an optional embodiment, the at least one electrical performance parameter indicator includes any one or more combinations of photoelectric conversion efficiency, open circuit voltage, short circuit current, fill factor, series resistance, parallel resistance, and reverse leakage current.

[0012] In an optional embodiment, the query method further includes: performing file content aggregation on all battery piece production quality result files whose result file generation time points are within a preset statistical time period, to generate a production quality result message related to at least one offline production equipment to be queried; pushing the production quality result message to a battery piece production management platform.

[0013] In a second aspect, the present application provides a battery piece production quality query device, which includes a processor and a memory, the memory stores a computer program executable by the processor, and the processor can execute the computer program to implement the battery piece production quality query method in any one of the preceding embodiments.

[0014] In a third aspect, the present application provides a readable storage medium, which stores a computer program, and the computer program is executed by a computer device to implement the battery piece production quality query method in any one of the preceding embodiments.

[0015] In this case, the beneficial effects of the embodiments of the present application can include the following: After obtaining the target device identifier of the offline production device to be queried, the actual flower basket identifier of the target flower basket, and the first entry time point of the target flower basket into the offline production device to be queried in the battery piece production process, the battery piece production database is searched based on the target device identifier, the actual flower basket identifier, and the first entry time point. The target production query time period (i.e. the specific production time period of the offline production device to be queried cooperating with the original online battery piece production system) is used to find all target battery pieces produced by the target flower basket. The electrical performance parameter data of each target battery piece is analyzed, and the electrical performance parameter data of each target battery piece is analyzed. The data is synthesized to obtain the battery piece production quality result file of the offline production device to be queried, thereby realizing the function of automatically screening and specifying the battery piece electrical performance parameter data associated with the flower basket and in the specific production time period of the offline production device cooperating with the original online battery piece production system. The battery piece production quality analysis can reduce manual operation interference (by using the battery piece electrical performance parameter data automatic screening function to reduce manual operation interference) and unnecessary data interference (by screening the battery piece electrical performance parameter data of the specified flower basket in the specific production time period of the offline production device for analysis) to improve the efficiency and accuracy of the battery piece production quality result output of the offline production device, and to improve the operation efficiency and reliability of the solar cell production process improvement scheme.

[0016] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the following preferred embodiments are described in detail below, and the accompanying drawings are described as follows. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed in the embodiments. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can also be obtained without creative labor.

[0018] Figure 1 The composition schematic diagram of the battery piece production quality query device provided by the embodiments of the present application is shown in the figure. Figure 2 The flowchart of one of the battery piece production quality query method provided by the embodiments of the present application is shown in the figure. Figure 3 The flowchart of the sub-steps included in step S220 in Figure 2 Figure 4 The flowchart of the sub-steps included in step S220 in Figure 3 ​An execution flow diagram of the sub-step S221 in the step S220 is shown in Fig. 2; Figure 5 As Figure 2 An execution flow diagram of the sub-steps included in the step S230 is shown in Fig. 3; Figure 6 Fig. 2 is a flow diagram of a battery production quality query method provided by an embodiment of the present application.

[0019] Fig. 1 is a schematic diagram of a battery production quality query device according to an embodiment of the present application. DETAILED DESCRIPTION

[0020] In order to make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, rather than all the embodiments of the present application. The components of the embodiments of the present application described and shown in the drawings can be arranged and designed in various different configurations.

[0021] Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative labor are within the scope of protection of the present application.

[0022] It should be noted that: similar reference numerals and letters represent similar items in the following drawings, therefore, once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings.

[0023] In the description of the present application, it should be understood that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship commonly placed when the product of the present application is used, or the orientation or positional relationship commonly understood by those skilled in the art, and are only for the convenience of describing the present application and simplifying the description, and are not intended to indicate or imply that the indicated device or element must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application.

[0024] In the description of the present application, it is also necessary to explain that, unless otherwise explicitly specified and limited, the terms "set", "install", "connect", "connect" should be understood broadly, for example, it can be fixedly connected, or it can be detachably connected, or integrally connected; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium, or it can be the communication inside two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0025] In addition, in the description of the present application, it can be understood that the relationship terms such as "first" and "second" and the like are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between the entities or operations. Moreover, the terms "include", "contain" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment. Without more limitation, the element defined by the sentence "including a…" does not exclude the presence of other identical elements in the process, method, article or equipment including the element. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0026] Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The following examples and features in the examples can be combined with each other without conflict.

[0027] Please refer to Figure 1 , Figure 1 is a schematic diagram of the battery piece production quality query equipment 10 provided by the embodiment of the present application. In the embodiment of the present application, the battery piece production quality query equipment 10 can be used to query (evaluate) the related battery piece production quality results of any offline production equipment after being incorporated into a certain battery piece online production system to perform battery piece production work with high precision. Wherein, the battery piece production quality query equipment 10 can be, but is not limited to: personal computer, notebook computer, server, etc.

[0028] In the embodiment of the present application, the battery piece production quality query equipment 10 can include a memory 11, a processor 12 and a communication unit 13. Wherein, the memory 11, the processor 12 and the communication unit 13 are directly or indirectly electrically connected with each other to realize the transmission or interaction of data. For example, the memory 11, the processor 12 and the communication unit 13 can be electrically connected with each other through one or more communication buses or signal lines.

[0029] In the embodiment, the memory 11 can be, but is not limited to, a random access memory (RAM), a read only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electric erasable programmable read-only memory (EEPROM), etc. The memory 11 is configured to store a computer program. The processor 12 can execute the computer program according to an execution instruction.

[0030] Optionally, the memory 11 can also be configured to build a battery piece production database. The battery piece production database is built by a photovoltaic manufacturing enterprise based on battery piece production data after data cleaning. The battery piece production data can be obtained by a battery piece production information collection system by monitoring the equipment running state of battery piece manufacturing equipment (including any offline production equipment and each battery piece production equipment involved in an original battery piece online production system) corresponding to each production procedure in a battery piece production process. The battery piece production database records the electrical performance parameter data, a piece forming time point and an associated basket identifier of each battery piece prepared by the corresponding photovoltaic manufacturing enterprise, and the equipment production data of each battery piece manufacturing equipment involved in the actual production process of the corresponding battery piece (including the production record table, the equipment state log and the equipment real-time data of the corresponding battery piece manufacturing equipment, the attribution relationship between the corresponding battery piece manufacturing equipment and the battery piece online production system, the specific workshop identifier of the battery piece manufacturing workshop to which the corresponding battery piece manufacturing equipment belongs, the in-station basket identifier corresponding to each different in-station time point of the corresponding battery piece manufacturing equipment in the battery piece production process, and the out-station basket identifier corresponding to each different out-station time point of the corresponding battery piece manufacturing equipment in the battery piece production process, etc.). The electrical performance parameter data of any battery piece includes the actual index value corresponding to at least one electrical performance parameter index of the corresponding battery piece. The at least one electrical performance parameter index includes any one or more combinations of the photoelectric conversion efficiency, the open circuit voltage, the short circuit current, the fill factor, the series resistance, the parallel resistance and the reverse leakage current. In an embodiment of the embodiment, the at least one electrical performance parameter index consists of the photoelectric conversion efficiency, the open circuit voltage, the short circuit current, the fill factor, the series resistance, the parallel resistance and the reverse leakage current.

[0031] In this embodiment, the processor 12 can be an integrated circuit chip with signal processing capabilities. The processor 12 can be a general-purpose processor, including at least one of a Central Processing Unit (CPU), Graphics Processing Unit (GPU), Network Processor (NP), Digital Signal Processor (DSP), Application-Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The general-purpose processor can be a microprocessor or any conventional processor, capable of implementing or executing the methods, steps, and logic block diagrams disclosed in this embodiment.

[0032] In this embodiment, the communication unit 13 is used to establish a communication connection between the cell production quality query device 10 and other electronic devices via a network, and to send and receive data through the network, which includes wired communication networks and wireless communication networks. For example, the cell production quality query device 10 can access a cell production management platform with a cell production database deployed through the communication unit 13, or transmit the cell production quality result file of any offline production equipment under the management of the cell production management platform within a specific production time period to the cell production management platform through the communication unit 13. This allows solar cell designers to intuitively understand the impact of the specific production process represented by the corresponding offline production equipment on cell quality by accessing the cell production management platform, facilitating improvements to the production process by solar cell designers.

[0033] In this embodiment, the cell production quality query device 10 can pre-store a specific computer program related to the cell production quality query function in the memory 11. By driving the processor 12 to execute the specific computer program stored in the memory 11, it can automatically filter the cell electrical performance parameter data of cells associated with a specified basket and in a specific production time period of the offline production equipment in conjunction with the original online cell production system from the cell production database to perform cell production quality analysis. This improves the output efficiency and accuracy of cell production quality results for offline production equipment by reducing human operation interference and unnecessary data interference during the cell quality analysis process, and facilitates the improvement of the efficiency of operation and the reliability of improvement schemes for solar cell production processes.

[0034] Understandable Figure 1The block diagram shown is only a schematic diagram of one component of the battery cell production quality query device 10. The battery cell production quality query device 10 may also include a ratio Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown. Figure 1 The components shown can be implemented using hardware, software, or a combination thereof.

[0035] In this application, to ensure that the solar cell production quality query device 10 can effectively reduce human operation interference and unnecessary data interference during the analysis of solar cell production quality for offline production equipment, improve the output efficiency and accuracy of the corresponding solar cell production quality results, and facilitate the improvement of the efficiency of solar cell production process improvement and the reliability of improvement schemes, this application provides a solar cell production quality query method to achieve the aforementioned objectives. The solar cell production quality query method provided in this application will be described in detail below.

[0036] Please refer to Figure 2 , Figure 2 This is one of the flowcharts illustrating the battery cell production quality query method provided in this application embodiment. In this application embodiment, the battery cell production quality query method may include steps S210 to S230.

[0037] Step S210: Obtain the query information file for the offline production equipment to be queried. The query information file includes the target equipment identifier of the offline production equipment to be queried, the actual flower basket identifier of the target flower basket, and the first entry time of the target flower basket into the offline production equipment to be queried during the cell production process.

[0038] In this embodiment, the offline production equipment to be queried is designated by the cell production query personnel (or solar cell designer) based on the improvement status of the cell production process; the target basket is used to represent the designated basket used in the cell production process in which the offline production equipment to be queried participates; in the cell production process in which the offline production equipment to be queried participates, the target basket can enter the offline production equipment to be queried multiple times, and the actual entry time of the target basket is unique each time it enters the offline production equipment to be queried, and the first entry time is any actual entry time of the offline production equipment to be queried designated by the cell production query personnel (or solar cell designer).

[0039] It can be understood that the query information file can be implemented in a table file format, so that when the battery piece production quality query device 10 obtains any query information file, the battery piece production quality query device 10 can identify information missing of the query information file according to a preset table file content composition format (that is, the table file content needs to involve the offline production equipment identifier, the basket identifier, and the basket entry time point) and prompt the corresponding battery piece production query personnel (or solar cell designer) to re-supplement the missing information of the query information file.

[0040] In step S220, based on the target equipment identifier, the actual basket identifier, and the first entry time point, the battery piece production database is searched to find the respective electrical performance parameter data of all target battery pieces produced by the to-be-queried offline production equipment using the target basket within a target production query time period after the to-be-queried offline production equipment is incorporated into the original battery piece online production system.

[0041] In the embodiment, after the battery piece production quality query device 10 determines the target equipment identifier of a to-be-queried offline production equipment, the actual basket identifier of a target basket, and the first entry time point corresponding to the target basket and the to-be-queried offline production equipment at the current query time, the battery piece production quality query device 10 determines a certain specific production time period (that is, a target production query time period associated with the first entry time point) in which the to-be-queried offline production equipment performs battery piece production after being incorporated into the original battery piece online production system based on the first entry time point according to a preset production query duration (that is, a maximum battery piece production monitoring duration preset for the offline production equipment, which can be 2 battery piece production days or 1 battery piece production day). Then, the battery piece production quality query device 10 automatically filters the respective electrical performance parameter data of all target battery pieces (which are formed with the participation of the to-be-queried offline production equipment) associated with the target basket and within the target production query time period from the numerous battery piece production data recorded in the battery piece production database by accessing the battery piece production database using the target equipment identifier and the actual basket identifier of the target basket, so as to reduce manual operation interference and unnecessary data interference in the battery piece quality analysis process.

[0042] Optionally, please refer to Figure 3 , Figure 3 is Figure 2 a flowchart of the sub-steps included in step S220 in FIG. 8. In the embodiment, step S220 can include sub-step S221 to sub-step S223 to automatically, accurately, and quickly filter the electrical performance parameter data of the battery pieces associated with the specified basket and within the specific production time period in which the offline production equipment cooperates with the original battery piece online production system.

[0043] In the first embodiment of the present embodiment, the starting query time point of the target production query time period can be directly represented by the first entry time point, and the ending query time point of the target production query time period is directly spaced apart from the first entry time point by the preset production query duration.

[0044] In the first embodiment of the present embodiment, the starting query time point of the target production query time period can be directly represented by the first entry time point, and the ending query time point of the target production query time period is directly spaced apart from the first entry time point by the preset production query duration.

[0045] In the second embodiment of the present embodiment, considering that the offline production equipment to be queried is incorporated on the basis of the original battery piece online production system, there is a significant installation and debugging time loss and a basket outbound transfer loss at the original battery piece online production system. If the first embodiment is directly used to determine the target production query time period, the starting query time point corresponding to the target production query time period cannot truly reflect the effective starting time point of the offline production equipment to be queried participating in the battery piece production process after the first entry time point. On this basis, the present application provides the specific step execution flow of the sub-step S221 as shown in the figure, to ensure that the starting query time point corresponding to the constructed target production query time period can effectively reflect the effective starting time point of the offline production equipment to be queried participating in the battery piece production process. The sub-step S221 can include sub-step S2211 to sub-step S2213. Figure 4 Sub-step S2211, constructing an entry monitoring time period for the target basket according to the first entry time point and the maximum entry monitoring duration; Sub-step S2212, finding all candidate entry time points corresponding to the actual basket identifier of the target basket and within the entry monitoring time period according to the basket entry time points and the entry basket identifiers recorded in the device production data of all battery piece manufacturing devices in the battery piece production database; Sub-step S2213, selecting the second entry time point closest to the first entry time point from all candidate entry time points, and taking the second entry time point as the starting query time point to construct the query time period according to the preset production query duration, to obtain the target production query time period.

[0046] ​In the process, the maximum inbound monitoring duration is used to represent the maximum duration (which can be 6 hours, 8 hours, or 12 hours) of a single flower basket inbound event (i.e., the corresponding flower basket enters a different battery piece manufacturing equipment) monitoring operation; the first inbound time point is not identical to the second inbound time point, and the second inbound time point is used to represent the actual inbound time point of the target flower basket entering the target process manufacturing equipment (i.e., the next process manufacturing equipment corresponding to the original battery piece online production system of the to-be-inquired offline production equipment) after the first inbound time point; the start monitoring time point of the inbound monitoring time period of the target flower basket is the first inbound time point, and the end monitoring time point of the inbound monitoring time period of the target flower basket can be directly spaced from the first inbound time point by the maximum inbound monitoring duration, or can be the current query time point with an interval duration less than the maximum inbound monitoring duration. Thus, the above sub-step S2211 can include: Taking the first inbound time point as the start monitoring time point, the end monitoring time point is predicted according to the maximum inbound monitoring duration, and the corresponding estimated end time point is obtained, wherein the estimated end time point is spaced from the first inbound time point by the maximum inbound monitoring duration; Detecting whether the estimated end time point belongs to a future time point of the current query time point; In the case where it is detected that the estimated end time point does not belong to the future time point of the current query time point, the time period is directly constructed according to the first inbound time point and the estimated end time point, and the inbound monitoring time period for the target flower basket is obtained; In the case where it is detected that the estimated end time point belongs to the future time point of the current query time point, the time period is directly constructed according to the first inbound time point and the current query time point, and the inbound monitoring time period for the target flower basket is obtained.

[0047] Sub-step S222, in the battery piece production database, all candidate battery pieces corresponding to the piece forming time point within the target production query time period and matching the target equipment identifier and the actual flower basket identifier are inquired.

[0048] In the embodiment, the battery piece production quality query device 10 can determine the actual workshop identifier of the target battery piece manufacturing workshop to which the offline production equipment to be queried actually belongs in the battery piece production process based on the belonging relationship between the target equipment identifier of the offline production equipment to be queried recorded in the battery piece production database and the original battery piece online production system incorporated, and the association relationship between different battery piece online production systems and different battery piece manufacturing workshops, and then filter all battery pieces involving the actual workshop identifier of the target battery piece manufacturing workshop from the battery piece production database, and then further filter all candidate battery pieces corresponding to the time point at which the pieces are formed within the target production query time period and associated with the actual basket identifier of the target basket from all the filtered battery pieces.

[0049] In the substep S223, the electrical performance parameter data of all candidate battery pieces at the battery piece production database are extracted as the electrical performance parameter data of a target battery piece respectively.

[0050] Therefore, the application can automatically, accurately and quickly filter the battery piece electrical performance parameter data associated with the specified basket and within the specific production time period of the offline production equipment cooperating with the original battery piece online production system by executing the above-mentioned substep S221 to substep S223.

[0051] In the step S230, data comprehensive analysis is performed based on the electrical performance parameter data of all target battery pieces respectively, to obtain the battery piece production quality result file of the offline production equipment to be queried.

[0052] In the embodiment, after the battery piece production quality query device 10 automatically filters the battery piece electrical performance parameter data of the target basket used by the offline production equipment to be queried within the target production query time period, the battery piece electrical performance parameter data can be comprehensively analyzed in a differentiated index type to generate the battery piece production quality result file matched by the offline production equipment to be queried in the target production query time period. The battery piece production quality result file can be implemented in a table file format, and the file name of the battery piece production quality result file can be composed of the target equipment identifier of the offline production equipment to be queried and the corresponding result file generation time point. The specific file content of the battery piece production quality result file can include, but is not limited to, the actual workshop identifier associated with the original battery piece online production system incorporated by the offline production equipment to be queried, the actual basket identifier of the target basket, the starting query time point of the target production query time period, and the battery piece production quality score of each electrical performance parameter index related to the electrical performance parameter data.

[0053] It can be understood that when the battery piece production quality query device 10 generates a battery piece production quality result file of the offline production equipment to be queried, the battery piece production quality result file will be stored, so that the battery piece production query personnel (or solar cell designer) can intuitively browse all the battery piece production quality result files stored by the battery piece production quality query device 10 by accessing the battery piece production quality query device 10.

[0054] Optionally, please refer to Figure 5 , Figure 5 is Figure 2 The flowchart of the sub-steps included in step S230 in FIG. 2 is shown in FIG. 3. In the embodiment of the present application, step S230 can include sub-step S231 and sub-step S232 to realize the battery piece production quality automatic analysis function for the offline production equipment to be queried based on the battery piece electrical performance parameter data.

[0055] In sub-step S231, for each electrical performance parameter index in the at least one electrical performance parameter index, the actual index values corresponding to each target battery piece and the electrical performance parameter index are subjected to arithmetic mean value operation to obtain the battery piece production quality score of the offline production equipment to be queried for the electrical performance parameter index.

[0056] In the embodiment of the present application, the battery piece production quality score of the offline production equipment to be queried for any electrical performance parameter index is the index average value between the actual index values corresponding to each target battery piece and the electrical performance parameter index.

[0057] In sub-step S232, the actual workshop identifier of the original battery piece online production system, the actual flower basket identifier of the target flower basket, the starting query time point of the target production query time period, and the battery piece production quality score of each electrical performance parameter index are subjected to data file arrangement to obtain the battery piece production quality result file of the offline production equipment to be queried.

[0058] Therefore, the battery piece production quality automatic analysis function for the offline production equipment to be queried can be realized based on the battery piece electrical performance parameter data by executing the above-mentioned sub-step S231 and sub-step S232.

[0059] The application can realize the function of automatically screening the battery piece electrical performance parameter data associated with the specified basket and in the specific production time period of the original battery piece online production system cooperating with the offline production equipment, and analyzing the battery piece production quality, by executing the above steps S210-S230. By reducing the manual operation interference (reducing manual operation interference by automatically screening battery piece electrical performance parameter data) and unnecessary data interference (reducing unnecessary data interference by screening battery piece electrical performance parameter data of the specified basket in the specific production time period of the offline production equipment for analysis) in the battery piece quality analysis process, the efficiency and accuracy of the battery piece production quality result output for the offline production equipment can be improved, and the improvement operation efficiency and reliability of the improvement scheme of the solar cell production process can be improved.

[0060] Optionally, please refer to Figure 6 , Figure 6 is a flowchart of the battery piece production quality query method provided by the embodiment of the application. In the embodiment of the application, compared with the battery piece production quality query method shown in Figure 2 , the battery piece production quality query method shown in Figure 6 may further include steps S240-S250 to intelligently collect and push the generated battery piece production quality result files (which can involve different offline production equipment, or battery piece production quality result files of different baskets used by the same offline production equipment, and battery piece production quality result files of the same basket used by the same offline production equipment at different first entry time points), so that the battery piece production query personnel (or solar cell designers) can timely understand the production quality changes of different offline production equipment.

[0061] In step S240, the file contents of all battery piece production quality result files with a result file generation time point in a preset statistical time period are summarized to generate a production quality result message involving at least one offline production equipment to be queried.

[0062] In the embodiment, the preset statistical time period can be a statistical day to which the current query time belongs, or a statistical day to which a specified file generation time point belongs, which can be flexibly configured by the battery piece production query personnel (or solar cell designers) on the battery piece production quality query device 10 according to the message pushing demand.

[0063] In step S250, the production quality result message is pushed to the battery piece production management platform.

[0064] In the embodiment, after the battery piece production quality query device 10 generates the production quality result message, the battery piece production quality query device 10 can push the production quality result message to the battery piece production management platform, so that the solar cell designer (or the battery piece production query personnel) can intuitively know the influence of the specific production process represented by different offline production devices on the battery piece quality and the production quality change of different offline production devices in the actual production process, and the production process can be improved.

[0065] Therefore, the application can intelligently collect and push the generated battery piece production quality result files by performing the above steps S240-S250, so that the battery piece production query personnel (or the solar cell designer) can know the production quality change of different offline production devices in time.

[0066] In the embodiments provided by the application, it should be understood that the disclosed device and method can also be implemented in other manners. The device embodiments described above are only illustrative. For example, the flowcharts and block diagrams in the accompanying drawings show the possible implementation architectures, functions and operation of the device, method and computer program product according to the embodiments of the application. In this regard, each block in the flowcharts or block diagrams can represent a module, a program segment or a part of code, which contains one or more executable instructions for implementing the specified logic function. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur in a different order from that noted in the accompanying drawings. For example, two consecutive blocks can actually be executed substantially in parallel, and sometimes they can be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and the combination of blocks in the block diagrams and / or flowcharts, can be implemented by a special-purpose hardware-based system that performs the specified functions or actions, or can be implemented by a combination of special-purpose hardware and computer instructions.

[0067] In addition, each function module in each embodiment of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part. Each function provided by the present application, if realized in the form of a software function module and sold or used as an independent product, can be stored in a storage medium. Based on this understanding, the technical solutions of the present application or the parts of the technical solutions that essentially contribute to the prior art can be embodied in the form of a software product, and the computer software product is stored in a readable storage medium, including a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application as the battery piece production quality query device 10. The aforementioned readable storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various storage program codes.

[0068] The above is only various embodiments of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical scope disclosed by the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A battery cell production quality query method, characterized by, The query method includes: Obtain a query information file for the offline production equipment to be queried, wherein the query information file includes the target equipment identifier of the offline production equipment to be queried, the actual flower basket identifier of the target flower basket, and the first entry time point of the target flower basket into the offline production equipment to be queried during the cell production process; Based on the target equipment identifier, the actual basket identifier, and the first entry time point, the electrical performance parameter data of all target cells produced by the offline production equipment to be queried using the target basket during the target production query time period after being incorporated into the original online production system is found in the battery cell production database. The target production query time period is associated with the first entry time point. Based on the electrical performance parameter data of each of the target solar cells, a comprehensive data analysis is performed to obtain the solar cell production quality result file of the offline production equipment to be queried.

2. The query method of claim 1, wherein, The solar cell production database records the electrical performance parameters, assembly time, and associated basket identifiers for each solar cell, as well as the equipment production data for each of the solar cell manufacturing devices involved in the actual production process. The step of searching the solar cell production database for the electrical performance parameters of all target solar cells produced using the target basket within the target production query period by the offline production equipment to be queried after being integrated into the original online solar cell production system, based on the target equipment identifier, the actual basket identifier, and the first arrival time, includes: Based on the first entry time and the preset production query duration, the target production query time period is determined; In the battery cell production database, search for all candidate battery cells whose corresponding cell assembly time point is within the target production query time period and which match the target equipment identifier and the actual flower basket identifier; The electrical performance parameter data of each of the candidate solar cells in the solar cell production database are extracted and used as the electrical performance parameter data of a target solar cell.

3. The query method of claim 2, wherein, The step of determining the target production query time period based on the first entry time and the preset production query duration includes: Based on the first entry time and the maximum entry monitoring duration, an entry monitoring time period is constructed for the target flower basket; Based on the arrival time and arrival basket identifier of each battery cell manufacturing equipment in the battery cell production database, find all candidate arrival time points that correspond to the actual basket identifier of the target basket and are within the arrival monitoring time period. Select the second entry time point that is closest to the first entry time point from all candidate entry time points, and use the second entry time point as the starting query time point. Construct a query time period according to the preset production query duration to obtain the target production query time period.

4. The query method of claim 3, wherein, The step of constructing the entry monitoring time period for the target flower basket based on the first entry time point and the maximum entry monitoring duration includes: Taking the first entering time point as a starting monitoring time point, an ending monitoring time point is predicted according to the maximum entering monitoring duration, so as to obtain a corresponding estimated ending time point; It is detected whether the estimated ending time point belongs to a future time point of a current query time; In a case where it is detected that the estimated ending time point does not belong to the future time point of the current query time, a time period is directly constructed according to the first entering time point and the estimated ending time point, so as to obtain an entering monitoring time period for the target flower basket.

5. The query method of claim 4, wherein, The step of constructing the entering monitoring time period for the target flower basket according to the first entering time point and the maximum entering monitoring duration further includes: In a case where it is detected that the estimated ending time point belongs to the future time point of the current query time, a time period is directly constructed according to the first entering time point and the current query time, so as to obtain an entering monitoring time period for the target flower basket.

6. The query method of claim 1, wherein, The step of performing data comprehensive analysis on the electrical performance parameter data of all the target battery pieces to obtain the battery piece production quality result file of the offline production equipment includes: For each of the at least one electrical performance parameter index, an arithmetic mean value operation is performed on the actual index value corresponding to the electrical performance parameter index of each of the target battery pieces, so as to obtain a battery piece production quality score of the offline production equipment for the electrical performance parameter index. The actual workshop identifier of the original battery piece online production system, the actual flower basket identifier of the target flower basket, the starting query time point of the target production query time period, and the battery piece production quality score of each of the at least one electrical performance parameter index are subjected to data file arrangement, so as to obtain the battery piece production quality result file of the offline production equipment.

7. The query method of claim 6, wherein, The at least one electrical performance parameter index includes any one or more combinations of photoelectric conversion efficiency, open circuit voltage, short circuit current, fill factor, series resistance, parallel resistance, and reverse leakage current.

8. The query method according to any one of claims 1-7, characterized in that, The query method further includes: All battery piece production quality result files with a result file generation time point within a preset statistical time period are subjected to file content summarization, so as to generate a production quality result message related to at least one offline production equipment; The production quality result message is pushed to a battery piece production management platform.

9. A battery cell production quality inquiry apparatus characterized by comprising: The query device includes a processor and a memory, the memory stores a computer program executable by the processor, and the processor can execute the computer program to implement the battery piece production quality query method in any one of claims 1-8.

10. A readable storage medium, having stored thereon a computer program, characterized in that, The computer program is executed by a computer device to implement the battery piece production quality query method in any one of claims 1-8. The computer program is executed by a computer device to implement the battery piece production quality query method in any one of claims 1-8.

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