CN116596371A - Lithium battery production quality traceability management system based on data analysis - Google Patents
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Abstract
The invention discloses a lithium battery production quality traceability management system based on data analysis, which relates to the technical field of production quality traceability management, solves the technical problems that raw materials cannot be subjected to traceability and batch analysis in the production process in the prior art in the production stage of a lithium battery, analyzes processing materials in the production process of the lithium battery, and judges whether the qualification of the processing materials meets the production traceability requirement according to the processing material analysis, so that the traceability of the production quality of the lithium battery is improved, the qualification of the processing materials of the lithium battery can be ensured, and the processing efficiency of the lithium battery is improved; batch management is carried out in the processing and production process of the analysis object, so that the qualification of production batch management in the processing and production process of the analysis object is ensured, and the influence on the production efficiency of the analysis object in the production process due to low batch management efficiency in the production process is prevented; the production operation of the analysis object is detected.
Description
Technical Field
The invention relates to the technical field of production quality traceability management, in particular to a lithium battery production quality traceability management system based on data analysis.
Background
The lithium battery has a complex structure, and according to different charge and discharge time, cycle times, performance requirements and the like, various materials and parts such as anodes, cathodes, electrolyte, diaphragms and the like with different formulas are needed, and various different and complex equipment is correspondingly needed to assemble different materials or parts, so that the complete and usable lithium battery is assembled. Based on the complex assembly process of the lithium battery, a set of complete quality traceable system is required to be established to monitor the production condition of each process, the accuracy and systemization of data operation in the production process are ensured, the traceability from finished products to semi-finished products to materials is realized, the uniqueness of each unit material to products is ensured, but in the prior art, the traceability of raw materials and the batch analysis in the production process cannot be carried out in the production stage of the lithium battery, so that the production quality traceability management efficiency of the lithium battery is reduced.
In view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to solve the problems, and provides a lithium battery production quality traceability management system based on data analysis, which is used for analyzing processing materials in the lithium battery production process and judging whether the qualification of the processing materials meets the production traceability requirement according to the processing material analysis, so that the traceability of the lithium battery production quality is improved, the qualification of the lithium battery processing materials can be ensured, and the processing efficiency of the lithium battery is improved; and carrying out batch management in the processing and production process of the analysis object, and ensuring the qualification of the production batch management in the processing and production process of the analysis object.
The aim of the invention can be achieved by the following technical scheme:
the lithium battery production quality traceability management system based on data analysis comprises a server, wherein the server is in communication connection with a processing material analysis unit, a processing batch management unit and a production operation detection unit;
the method comprises the steps that a server generates a processing material analysis signal and sends the processing material analysis signal to a processing material analysis unit, the processing material analysis unit receives the processing material analysis signal, then performs processing material analysis in the production process of the lithium battery, marks the lithium battery as an analysis object, sets a label i as a natural number larger than 1, obtains a processing material analysis coefficient in the processing process of the analysis object, compares and generates a tracing high-difficulty signal or a tracing low-difficulty signal according to the processing material analysis coefficient, and sends the tracing high-difficulty signal or the tracing low-difficulty signal to the server;
after receiving the traceable low-difficulty signal, the server generates a processing batch management signal and sends the processing batch management signal to a processing batch management unit, and after receiving the processing batch management signal, the processing batch management unit carries out batch management in the processing production process of the analysis object, generates a same batch management and control signal or a batch qualified signal through analysis and sends the same batch management and control signal or the batch qualified signal to the server;
after receiving the batch qualified signal, the server generates a production operation detection signal and sends the production operation detection signal to the production operation detection unit, and after receiving the production operation detection signal, the production operation detection unit detects the production operation of the analysis object, generates an operation detection abnormal signal or an operation detection normal signal through analysis and sends the operation detection abnormal signal or the operation detection normal signal to the server.
As a preferred embodiment of the invention, the process material analysis unit operates as follows:
collecting the replacement frequency of a processed material supplier and the corresponding quarter yield of the current processed material supplier in the production process of the analysis object, and respectively marking the replacement frequency of the processed material supplier and the corresponding quarter yield of the current processed material supplier in the production process of the analysis object as GPLi and JDCI; acquiring the corresponding occurrence deviation probability of the supply time node of the processing material supplier in the production process of the analysis object, and marking the corresponding occurrence deviation probability of the supply time node of the processing material supplier in the production process of the analysis object as PCGi;
by the formulaObtaining a processing material analysis coefficient Xi in the processing process of an analysis object, wherein f1, f2 and f3 are preset proportionality coefficients, f1 is more than f2 and more than f3 is more than 0, alpha is an error correction factor, and the value is 0.98;
comparing the processing material analysis coefficient Xi in the processing of the analysis object with a processing material analysis coefficient threshold value:
comparing the process material analysis coefficient in the process of processing the analysis object with a process material analysis coefficient threshold value:
if the analysis coefficient of the processing material exceeds the threshold value of the analysis coefficient of the processing material in the processing process of the analysis object, judging that the current quality tracing feasibility of the processing material of the analysis object is low, generating a tracing high-difficulty signal and transmitting the tracing high-difficulty signal to a server; if the processing material analysis coefficient does not exceed the processing material analysis coefficient threshold in the processing process of the analysis object, the probability of the current processing material quality traceability of the analysis object is judged to be high, a traceability low-difficulty signal is generated, and the traceability low-difficulty signal is sent to the server.
As a preferred embodiment of the present invention, the process batch management unit operates as follows:
the method comprises the steps of collecting the maximum interval duration of finished products and corresponding products in the production process of an analysis object and the frequency of position movement in the real-time storage process after the products are finished in production, and comparing the maximum interval duration of finished products and corresponding products in the production process of the analysis object and the frequency of position movement in the real-time storage process after the products are finished with a maximum interval duration threshold and a position movement frequency threshold respectively:
if the maximum interval duration of finished products and corresponding products in the production process of the analysis object exceeds a maximum interval duration threshold, or the frequency of position movement in the real-time storage process after the products are finished exceeds a position movement frequency threshold, judging that the management efficiency of the same batch in the production process of the analysis object is abnormal, generating a same batch management and control signal and sending the same batch management and control signal to a server;
if the maximum interval duration of finished products and corresponding products in the production process of the analysis object does not exceed the maximum interval duration threshold, and the frequency of position movement in the real-time storage process after the products are finished in production does not exceed the position movement frequency threshold, judging that the same batch management efficiency in the production process of the analysis object is normal, generating a batch qualified signal and sending the batch qualified signal to a server.
As a preferred embodiment of the present invention, the production operation detecting unit operates as follows:
collecting the frequency of continuous interruption of any production process in the production process of the analysis object and the frequency of instantaneous increase of the buffer time length of the adjacent production process, and comparing the frequency of continuous interruption of any production process in the production process of the analysis object and the frequency of instantaneous increase of the buffer time length of the adjacent production process with an interruption frequency threshold and a time length instantaneous increase frequency threshold respectively:
if the frequency of continuous interruption of any production process in the production process of the analysis object exceeds an interruption frequency threshold value or the frequency of instantaneous increase of the buffer duration of the adjacent production process exceeds a duration instantaneous increase frequency threshold value, judging that the production operation is abnormal in the production process of the analysis object, generating an operation detection abnormal signal and sending the operation detection abnormal signal to a server;
if the frequency of continuous interruption of any production process in the production process of the analysis object does not exceed the interruption frequency threshold value and the frequency of instantaneous increase of the buffer duration of the adjacent production process does not exceed the duration instantaneous increase frequency threshold value, judging that the production operation detection is normal in the production process of the analysis object, generating an operation detection normal signal and sending the operation detection normal signal to the server.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the processing material analysis is carried out in the lithium battery production process, and whether the qualification of the processing material meets the production traceability requirement is judged according to the processing material analysis, so that the traceability of the lithium battery production quality is improved, the qualification of the lithium battery processing material can be ensured, and the processing efficiency of the lithium battery is improved; batch management is carried out in the processing and production process of the analysis object, so that the qualification of production batch management in the processing and production process of the analysis object is ensured, and the influence on the production efficiency of the analysis object in the production process due to low batch management efficiency in the production process is prevented; detecting the production operation of the analysis object, and judging whether the execution of the production operation in the production process of the analysis object meets the actual production requirement, so that the production qualification efficiency of the analysis object is improved.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a schematic block diagram of a lithium battery production quality traceability management system based on data analysis.
Detailed Description
In order to make the present invention better understood by those skilled in the art, the following description of the technical solutions of the present invention will be made in detail, but it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments of the present invention, with reference to the accompanying drawings in the embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
Referring to fig. 1, a lithium battery production quality traceability management system based on data analysis includes a server, wherein the server is in communication connection with a processing material analysis unit, a processing batch management unit and a production operation detection unit, and the server is in bidirectional communication connection with the processing material analysis unit, the processing batch management unit and the production operation detection unit;
the server generates a processing material analysis signal and sends the processing material analysis signal to the processing material analysis unit, the processing material analysis unit analyzes the processing material in the lithium battery production process after receiving the processing material analysis signal, and judges whether the qualification of the processing material meets the production traceability requirement according to the processing material analysis, so that the traceability of the lithium battery production quality is improved, the qualification of the processing material of the lithium battery can be ensured, and the processing efficiency of the lithium battery is improved;
marking a lithium battery as an analysis object, setting the labels i and i as natural numbers larger than 1, collecting the replacement frequency of a processing material supplier and the corresponding quarter yield of the current processing material supplier in the production process of the analysis object, and marking the replacement frequency of the processing material supplier and the corresponding quarter yield of the current processing material supplier in the production process of the analysis object as GPLi and JDCI respectively; acquiring the corresponding occurrence deviation probability of the supply time node of the processing material supplier in the production process of the analysis object, and marking the corresponding occurrence deviation probability of the supply time node of the processing material supplier in the production process of the analysis object as PCGi;
by the formulaAcquiring a processing material analysis coefficient X i in the processing process of an analysis object, wherein f1, f2 and f3 are preset proportionality coefficients, f1 is more than f2 and more than f3 is more than 0, alpha is an error correction factor, and the value is 0.98;
comparing the process material analysis coefficient X i of the process object to be analyzed with a process material analysis coefficient threshold value:
if the processed material analysis coefficient X i exceeds the processed material analysis coefficient threshold value in the processing process of the analysis object, judging that the current processed material quality traceability probability of the analysis object is low, generating a traceability high-difficulty signal and sending the traceability high-difficulty signal to a server, and after the server receives the traceability high-difficulty signal, fixing a processed material supplier corresponding to the analysis object and controlling the replacement frequency; meanwhile, the yield of the selected processing material suppliers is ensured, and the cargo dispatching efficiency of the suppliers is improved while the operation qualification efficiency of the suppliers is improved;
if the processing material analysis coefficient X i does not exceed the processing material analysis coefficient threshold in the processing process of the analysis object, judging that the quality traceability probability of the current processing material of the analysis object is high, generating a traceability low-difficulty signal and sending the traceability low-difficulty signal to a server;
after receiving the traceable low-difficulty signal, the server generates a processing batch management signal and sends the processing batch management signal to the processing batch management unit, and after receiving the processing batch management signal, the processing batch management unit carries out batch management in the processing production process of the analysis object, so that the qualification of the production batch management of the analysis object in the processing production process is ensured, and the influence on the production efficiency of the analysis object in the production process due to low batch management efficiency in the production process is prevented;
the method comprises the steps of collecting the maximum interval duration of finished products and corresponding products in the production process of an analysis object and the frequency of position movement in the real-time storage process after the products are finished in production, and comparing the maximum interval duration of finished products and corresponding products in the production process of the analysis object and the frequency of position movement in the real-time storage process after the products are finished with a maximum interval duration threshold and a position movement frequency threshold respectively:
if the maximum interval duration of finished products and corresponding products in the production process of the analysis object exceeds a maximum interval duration threshold, or the frequency of position movement in the real-time storage process after the production of the products exceeds a position movement frequency threshold, judging that the same batch management efficiency in the production process of the analysis object is abnormal, generating a same batch management and control signal and sending the same batch management and control signal to a server, and after receiving the same batch management and control signal, carrying out batch management in the production process of the analysis object by the server, wherein the batch management refers to that the products are put into the whole production process of delivery and delivery from raw materials, and scientific management is carried out strictly according to batches, and the method runs through the whole production and manufacturing processes of the products; in order to ensure each link from raw material factory to factory delivery, batch management needs to be done in five-clear six-batch mode. Wherein, the five clear includes batch clear, quantity clear, quality clear, responsibility clear and production dynamic clear. The sixth batch comprises batch feeding, batch processing, batch transfer, batch warehouse entry, batch storage and batch assembly;
if the maximum interval duration of finished products and corresponding products in the production process of the analysis object does not exceed the maximum interval duration threshold, and the frequency of position movement in the real-time storage process after the products are finished in production does not exceed the position movement frequency threshold, judging that the same batch management efficiency in the production process of the analysis object is normal, generating a batch qualified signal and sending the batch qualified signal to a server;
after receiving the batch qualified signals, the server generates production operation detection signals and sends the production operation detection signals to the production operation detection unit, and after receiving the production operation detection signals, the production operation detection unit detects the production operation of the analysis object and judges whether the execution of the production operation in the production process of the analysis object meets the actual production requirements, so that the production qualification efficiency of the analysis object is improved;
collecting the frequency of continuous interruption of any production process in the production process of the analysis object and the frequency of instantaneous increase of the buffer time length of the adjacent production process, and comparing the frequency of continuous interruption of any production process in the production process of the analysis object and the frequency of instantaneous increase of the buffer time length of the adjacent production process with an interruption frequency threshold and a time length instantaneous increase frequency threshold respectively:
if the frequency of continuous interruption of any production process in the production process of the analysis object exceeds an interruption frequency threshold value, or the frequency of instantaneous increase of the buffer duration of the adjacent production process exceeds a duration instantaneous increase frequency threshold value, judging that the production operation is abnormal in the production process of the analysis object, generating an operation detection abnormal signal and sending the operation detection abnormal signal to a server, and executing control on the production process of the analysis object after the server receives the operation detection abnormal signal, so as to ensure the continuity of production processing;
if the frequency of continuous interruption of any production process in the production process of the analysis object does not exceed the interruption frequency threshold value and the frequency of instantaneous increase of the buffer duration of the adjacent production process does not exceed the duration instantaneous increase frequency threshold value, judging that the production operation detection is normal in the production process of the analysis object, generating an operation detection normal signal and sending the operation detection normal signal to the server.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions;
when the method is used, after a processing material analysis signal is received by a processing material analysis unit, processing material analysis is carried out in the production process of the lithium battery, the lithium battery is marked as an analysis object, the reference mark i is set as a natural number larger than 1, the processing material analysis coefficient in the processing process of the analysis object is obtained, a tracing high-difficulty signal or a tracing low-difficulty signal is generated according to the processing material analysis coefficient comparison, and the tracing high-difficulty signal or the tracing low-difficulty signal is sent to a server; after receiving the processing batch management signal, the processing batch management unit carries out batch management in the processing production process of the analysis object, generates a same batch management signal or a batch qualified signal through analysis, and sends the same batch management signal or the batch qualified signal to the server; after receiving the production operation detection signal by the production operation detection unit, the production operation detection unit detects the production operation of the analysis object, generates an operation detection abnormal signal or an operation detection normal signal by analysis, and transmits the operation detection abnormal signal or the operation detection normal signal to the server.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (4)
1. The lithium battery production quality traceability management system based on data analysis is characterized by comprising a server, wherein the server is connected with a processing material analysis unit, a processing batch management unit and a production operation detection unit in a communication manner;
the method comprises the steps that a server generates a processing material analysis signal and sends the processing material analysis signal to a processing material analysis unit, the processing material analysis unit receives the processing material analysis signal, then performs processing material analysis in the production process of the lithium battery, marks the lithium battery as an analysis object, sets a label i as a natural number larger than 1, obtains a processing material analysis coefficient in the processing process of the analysis object, compares and generates a tracing high-difficulty signal or a tracing low-difficulty signal according to the processing material analysis coefficient, and sends the tracing high-difficulty signal or the tracing low-difficulty signal to the server;
after receiving the traceable low-difficulty signal, the server generates a processing batch management signal and sends the processing batch management signal to a processing batch management unit, and after receiving the processing batch management signal, the processing batch management unit carries out batch management in the processing production process of the analysis object, generates a same batch management and control signal or a batch qualified signal through analysis and sends the same batch management and control signal or the batch qualified signal to the server;
after receiving the batch qualified signal, the server generates a production operation detection signal and sends the production operation detection signal to the production operation detection unit, and after receiving the production operation detection signal, the production operation detection unit detects the production operation of the analysis object, generates an operation detection abnormal signal or an operation detection normal signal through analysis and sends the operation detection abnormal signal or the operation detection normal signal to the server.
2. The lithium battery production quality traceability management system based on data analysis according to claim 1, wherein the operation process of the processing material analysis unit is as follows:
collecting the replacement frequency of a processed material supplier in the production process of an analysis object and the corresponding quarter yield of the current processed material supplier; acquiring the corresponding occurrence deviation probability of the supply time node of the processing material supplier in the production process of the analysis object;
obtaining a processing material analysis coefficient in the processing process of the analysis object through analysis;
comparing the process material analysis coefficient in the process of processing the analysis object with a process material analysis coefficient threshold value:
if the analysis coefficient of the processing material exceeds the threshold value of the analysis coefficient of the processing material in the processing process of the analysis object, judging that the current quality tracing feasibility of the processing material of the analysis object is low, generating a tracing high-difficulty signal and transmitting the tracing high-difficulty signal to a server; if the processing material analysis coefficient does not exceed the processing material analysis coefficient threshold in the processing process of the analysis object, the probability of the current processing material quality traceability of the analysis object is judged to be high, a traceability low-difficulty signal is generated, and the traceability low-difficulty signal is sent to the server.
3. The lithium battery production quality traceability management system based on data analysis according to claim 1, wherein the operation process of the processing batch management unit is as follows:
the method comprises the steps of collecting the maximum interval duration of finished products and corresponding products in the production process of an analysis object and the frequency of position movement in the real-time storage process after the products are finished in production, and comparing the maximum interval duration of finished products and corresponding products in the production process of the analysis object and the frequency of position movement in the real-time storage process after the products are finished with a maximum interval duration threshold and a position movement frequency threshold respectively:
if the maximum interval duration of finished products and corresponding products in the production process of the analysis object exceeds a maximum interval duration threshold, or the frequency of position movement in the real-time storage process after the products are finished exceeds a position movement frequency threshold, judging that the management efficiency of the same batch in the production process of the analysis object is abnormal, generating a same batch management and control signal and sending the same batch management and control signal to a server;
if the maximum interval duration of finished products and corresponding products in the production process of the analysis object does not exceed the maximum interval duration threshold, and the frequency of position movement in the real-time storage process after the products are finished in production does not exceed the position movement frequency threshold, judging that the same batch management efficiency in the production process of the analysis object is normal, generating a batch qualified signal and sending the batch qualified signal to a server.
4. The lithium battery production quality traceability management system based on data analysis according to claim 1, wherein the operation process of the production operation detection unit is as follows:
collecting the frequency of continuous interruption of any production process in the production process of the analysis object and the frequency of instantaneous increase of the buffer time length of the adjacent production process, and comparing the frequency of continuous interruption of any production process in the production process of the analysis object and the frequency of instantaneous increase of the buffer time length of the adjacent production process with an interruption frequency threshold and a time length instantaneous increase frequency threshold respectively:
if the frequency of continuous interruption of any production process in the production process of the analysis object exceeds an interruption frequency threshold value or the frequency of instantaneous increase of the buffer duration of the adjacent production process exceeds a duration instantaneous increase frequency threshold value, judging that the production operation is abnormal in the production process of the analysis object, generating an operation detection abnormal signal and sending the operation detection abnormal signal to a server;
if the frequency of continuous interruption of any production process in the production process of the analysis object does not exceed the interruption frequency threshold value and the frequency of instantaneous increase of the buffer duration of the adjacent production process does not exceed the duration instantaneous increase frequency threshold value, judging that the production operation detection is normal in the production process of the analysis object, generating an operation detection normal signal and sending the operation detection normal signal to the server.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116774117A (en) * | 2023-08-23 | 2023-09-19 | 琥崧智能装备(太仓)有限公司 | Magnetic substance tracking method and device for lithium battery material preparation process |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116774117A (en) * | 2023-08-23 | 2023-09-19 | 琥崧智能装备(太仓)有限公司 | Magnetic substance tracking method and device for lithium battery material preparation process |
| CN116774117B (en) * | 2023-08-23 | 2023-12-01 | 琥崧智能装备(太仓)有限公司 | Magnetic substance tracking method and device for lithium battery material preparation process |
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