CN112966836B - Internet of things-based battery production recovery overall process tracing method and system - Google Patents
Internet of things-based battery production recovery overall process tracing method and system Download PDFInfo
- Publication number
- CN112966836B CN112966836B CN202110152085.5A CN202110152085A CN112966836B CN 112966836 B CN112966836 B CN 112966836B CN 202110152085 A CN202110152085 A CN 202110152085A CN 112966836 B CN112966836 B CN 112966836B
- Authority
- CN
- China
- Prior art keywords
- battery
- raw materials
- ticket
- current
- raw material
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/30—Administration of product recycling or disposal
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
- G06Q10/0875—Itemisation or classification of parts, supplies or services, e.g. bill of materials
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/54—Reclaiming serviceable parts of waste accumulators
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M6/00—Primary cells; Manufacture thereof
- H01M6/52—Reclaiming serviceable parts of waste cells or batteries, e.g. recycling
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W30/00—Technologies for solid waste management
- Y02W30/50—Reuse, recycling or recovery technologies
- Y02W30/84—Recycling of batteries or fuel cells
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W90/00—Enabling technologies or technologies with a potential or indirect contribution to greenhouse gas [GHG] emissions mitigation
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Quality & Reliability (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Tourism & Hospitality (AREA)
- Sustainable Development (AREA)
- Operations Research (AREA)
- Manufacturing & Machinery (AREA)
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Electrochemistry (AREA)
- General Chemical & Material Sciences (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Development Economics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- General Factory Administration (AREA)
Abstract
The invention relates to the technical field of battery production tracing, and discloses a battery production recovery overall process tracing method and system based on the Internet of things, which comprises the following steps: s1: scanning raw materials attached with the existing product tickets in batches and getting the raw materials on line to generate a raw material existing product ticket comparison relation table; s2: counting the raw materials entering the station, and assembling the raw materials in sequence; s3: recording bad conditions generated in the assembling process to generate a bad product record table; s4: removing the current ticket number in the current ticket comparison relation table of the raw materials according to the defective product record table; s5: after removal, the numbers below the column are moved upwards as a whole; s6: recording the serial numbers of the finished current tickets of the semi-finished batteries, packing the semi-finished batteries according to groups, and counting the semi-finished batteries again; s7: recording according to the current finished ticket code, and recording the recovered battery; the method realizes traceability of the whole process of assembling the raw materials into the semi-finished battery, and the number on the semi-finished battery corresponds to the product number and the sequence in the actual production.
Description
Technical Field
The invention relates to the technical field of battery production tracing, in particular to a battery production recovery overall process tracing method and system based on the Internet of things.
Background
The Internet of Things (Internet of Things, ioT) originates from the media field and is the third revolution of the information technology industry, the Internet of Things refers to the connection of any object with a network through information sensing equipment according to an agreed protocol, the object performs information exchange and communication through an information transmission medium to realize the functions of intelligent identification, positioning, tracking, supervision and the like, and the Internet of Things technology is well expanded and applied in various fields. The semi-finished product battery is assembled by a plurality of components, the positioning and the tracing of the whole semi-finished product battery are mostly realized in the prior art, the raw material components corresponding to the semi-finished product battery cannot be refined to be traced, the tracing of the whole production process of the semi-finished product battery cannot be well traced after a certain component of the semi-finished product battery has a problem, and the inspection of products in the same batch cannot be well carried out.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a battery production recovery overall process tracing method and system based on the Internet of things.
In order to achieve the above purpose, the invention provides the following technical scheme:
a battery production recovery overall process tracing method based on the Internet of things comprises the following steps:
s1: scanning raw materials pasted with the existing tickets in batches and getting on line to generate a raw material existing ticket comparison relation table;
s2: counting the raw materials entering the station, and sequentially assembling;
s3: recording bad conditions generated in the assembling process to generate a bad product record table;
s4: removing the current ticket number in the current ticket comparison relation table of the raw materials according to the defective product record table;
s5: after removal, the numbers below the row are integrally moved upwards to carry out bit complementing;
s6: after the assembly is finished, recording the current finished ticket serial numbers of the semi-finished batteries, packing the semi-finished batteries according to groups, and counting the semi-finished batteries again;
s7: and recording according to the current finished ticket code, and recording the recovered battery.
In the present invention, preferably, in step S1, the raw material includes a battery jar, a battery cover, a separator, raw material lead and a pole plate, wherein the battery jar, the battery cover, the separator, the raw material lead adopt outsourcing current tickets, and the pole plate is self-making current tickets.
In the present invention, preferably, each type of the raw materials is in group units, each group includes a plurality of similar products, one group corresponds to one outsourced product ticket code, and in the raw material ticket comparison relation table, each row corresponds to one raw material type, and the raw material types are arranged from top to bottom in sequence according to the scanning order.
In the present invention, it is preferable that the counter is used to record the number of raw materials entering the production station and the time in step S2.
In the present invention, it is preferable that, in step S3, when a failure of a raw material occurs in each assembly production station, the failure occurrence station, time, cause, and raw material correspondence number are recorded, and a failure record table is generated.
In the present invention, it is preferable that, in step S4, the same code under the corresponding number in the raw material present ticket correlation table is removed from the correspondence number and the code of the raw material in the failure record table.
In the present invention, preferably, in step S6, the assembled semi-finished battery is recorded with the finished current ticket serial numbers through the recording station in the order of completion, and the finished current ticket serial numbers are codes sequentially generated in the raw material current ticket comparison relation table after removing the bad codes and filling up the bad codes.
In the present invention, preferably, in step S6, the laser recording process is monitored in real time, the comparison relation table of the current raw material tickets is screened, and the vacancy of the raw material in the row where the code of the finished current finished product ticket is located is prompted, and the online vacancy raw material needs to be scanned to complete the quantity corresponding to the current batch of orders.
In the present invention, preferably, in step S7, a battery recycling table is generated by recording the back sales channel and date of the finished product current ticket according to the finished product current ticket code, and the recycled battery is recorded and marked in the battery recycling table according to the corresponding code.
The utility model provides a battery production recovery overall process system of traceing back based on thing networking, includes host system and the data storage module, screening module, collection module and the recovery management module of being connected with host system, host system receives present article ticket data, the bad condition data that collection module gathered and send it after converting into the table format data storage module stores, screening module and data storage module are connected, are used for right data are screened in the table of storage in the data storage module.
Compared with the prior art, the invention has the beneficial effects that:
the method realizes that the whole process of assembling the raw materials into the semi-finished product battery can be traced by scanning the raw materials of the semi-finished product battery into the system through the current ticket; the assembly and production processes can be matched and carried out in batch, and the corresponding raw material numbers with bad conditions are deleted, so that the numbers on the final semi-finished product battery correspond to the product numbers and sequences in actual production, and the tracing is good at the later stage; the method also can perform real-time screening, and when the raw materials corresponding to the current finished ticket are empty, the raw materials are indicated to be bad in production, and a prompt for supplementing the raw materials is made, so that the whole production and assembly process has fault-tolerant capability, continuous production can be performed, and the production efficiency is improved; and the battery recycling management module realizes the recording and traceability of the whole process from production to recycling of the battery.
Drawings
Fig. 1 is a schematic flow chart of a battery production recovery overall process tracing method based on the internet of things.
Fig. 2 is a structural block diagram of a battery production and recovery overall process traceability system based on the internet of things.
Fig. 3 is a schematic view of a monitoring module interface of the battery production recovery overall process traceability system based on the internet of things.
Fig. 4 is a schematic diagram of a real-time recorder interface of the battery production and recovery overall process traceability system based on the internet of things.
Fig. 5 shows the comparison relationship of the current raw material tickets of the tracing system based on the internet of things in the whole process of battery production and recovery.
Fig. 6 is a defective product record representation intention of the battery production and recovery overall process traceability system based on the internet of things.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When a component is referred to as being "connected" to another component, it can be directly connected to the other component or intervening components may also be present. When a component is referred to as being "disposed on" another component, it can be directly on the other component or intervening components may also be present. The terms "vertical," "horizontal," "left," "right," and the like are used herein for purposes of illustration only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Referring to fig. 1, 4, 5, and 6, a preferred embodiment of the present invention provides a battery production recovery overall process tracing method based on the internet of things, which is mainly used for assembly production of semi-finished batteries, and solves the problem that raw materials used by actual batteries are coded in a packet unit, and the raw materials in each packet are lost in assembly production due to reasons such as unqualified production, so that the raw material codes corresponding to the finally assembled semi-finished batteries do not correspond to each other, and the method includes the following steps:
s1: scanning the raw materials attached with the existing tickets in batches and getting on line to generate a raw material existing ticket comparison relation table;
s2: counting the raw materials entering the station, and sequentially assembling;
s3: recording bad conditions generated in the assembling process to generate a bad product record table;
s4: removing the current ticket number in the current ticket comparison relation table of the raw materials according to the defective product record table;
s5: after removal, the numbers below the row are integrally moved upwards to carry out bit complementing;
s6: after the assembly is finished, recording the current finished ticket serial numbers of the semi-finished batteries, packing the semi-finished batteries according to groups, and counting the semi-finished batteries again;
s7: and recording according to the current finished ticket code, and recording the recovered battery.
In this embodiment, in step S1, the raw materials include a battery jar, a battery cover, a separator, raw material lead, and a polar plate, where the battery jar, the battery cover, the separator, and the raw material lead adopt outsourced product tickets, the polar plate is a self-made product ticket, each type of the raw materials is in groups, each group includes a plurality of similar products, one group corresponds to one outsourced product ticket code, and in the comparison relation table of the raw material product tickets, each column corresponds to one raw material type, and the raw materials are arranged from top to bottom in sequence according to the scanning order.
The battery jar, the battery cover, the isolation plate, the raw material lead and the pole plate are in a group, one group corresponds to one code, the battery jar, the battery cover, the isolation plate and the raw material lead are directly purchased, outsourcing article current tickets are pasted on the battery jar, the pole plate is self-made, self-made article current tickets are pasted on the battery jar, the outsourcing article current tickets and the self-made article current tickets are displayed in a two-dimensional code mode so as to be convenient to scan and identify, before the raw materials enter a production station, the raw materials are sequentially scanned to obtain the corresponding codes, and the corresponding codes correspond to one column according to each type of raw materials, the scanning sequence is from top to bottom, and the one column is recorded in a raw material current article ticket comparison relation table.
In this embodiment, in step S2, the counter is used to record the number of raw materials entering the production station and the time.
Specifically, raw materials entering each station are counted by a counter on each station to master the assembly production process and the consumption condition of the raw materials in real time, the assembly process of the raw materials needs to be carried out by 8 key stations in total, namely, weight accumulation, cast welding, through-wall welding, heat sealing, terminal welding, burning, packaging, quality confirmation and acid pickling confirmation, corresponding operation is carried out in each station, and the raw materials are assembled into a semi-finished battery.
In the present embodiment, in step S3, when a raw material failure occurs in each assembly production station, the failure occurrence station, time, cause, and raw material correspondence number are recorded, and a failure record table is generated in which the raw material number, station, time, and failure cause corresponding to the occurrence of the failure are recorded, specifically, the failure causes including a battery can failure, a battery cover failure, a separator failure, a plate failure, and a groove damage are recorded in the failure record table.
In the present embodiment, in step S4, the same raw material code under the corresponding serial number in the raw material present ticket correlation table is removed according to the corresponding serial number and code of the raw material in the failure record table.
In the present embodiment, in step S5, the format of the raw material present ticket comparison table is set such that the lower part is moved upward as a whole after the blank space is deleted, so that the numbers below the same column are moved upward as a whole to fill up the blank space after the code is removed, thereby corresponding to the product number and the order in actual production.
In the embodiment, in step S6, the assembled semi-finished battery is recorded with the finished current ticket serial numbers through the recording station in the order of completion, and the finished current ticket serial numbers are codes generated in sequence in the comparison relation table of the raw material current tickets after removing the bad codes and filling up; and monitoring the laser burning process in real time, screening the comparison relation table of the existing raw material tickets, and prompting the vacancy of the raw material in the row where the finished product existing ticket codes are located, wherein the vacancy raw material on the line needs to be scanned to finish the quantity corresponding to the current batch of orders.
Further, recording finished product current ticket codes on the assembled semi-finished product battery, wherein the finished product current ticket codes are generated in sequence by a raw material current ticket comparison relation table, every five of the finished product current ticket codes are in a group and correspond to one finished product current ticket code, a row where each code is located corresponds to the code of each raw material, the semi-finished product battery is sequentially recorded according to the sequence of assembly production, and each raw material code corresponding to the semi-finished product battery is obtained according to the codes in the later period so as to facilitate the later period to trace back; meanwhile, after recording, the current ticket comparison relation table is updated in real time, screening is carried out, and when the raw materials corresponding to the row where the finished current ticket is located are empty, the situation that the raw materials are bad in production and lack in production and the quantity of orders of the current batch cannot be produced is indicated, so that a prompt for supplementing the raw materials is made, the whole production and assembly process has fault-tolerant capability, continuous production can be carried out, and the production efficiency is improved.
In the present embodiment, in step S7, a battery recycle table is generated by recording the current sales channel and the current sales date thereof in accordance with the finished product ticket code, and the battery recycle table records and marks the recycled battery in accordance with the corresponding code.
Specifically, the method responds to the national call, supervises the later recovery of the semi-finished product battery, records the sale channel and time of the semi-finished product battery according to the finished product current ticket of the semi-finished product battery, records the recovery time and the recovery post-processing mode of the recovered semi-finished product battery according to the current ticket of the semi-finished product battery, numbers the current ticket of other batteries without the recovered current ticket, records the recovery time and the recovery post-processing mode of the recovered semi-finished product battery, and realizes the recording and traceability of the whole process from the production to the recovery of the battery.
Referring to fig. 2, a preferred embodiment of the present invention provides an internet-of-things-based battery production and recovery overall process traceability system, which includes a main control module, and a data storage module, a screening module, an acquisition module, and a recovery management module connected to the main control module, wherein the main control module receives the current ticket data and the bad condition data acquired by the acquisition module, converts the current ticket data and the bad condition data into a table format, and then sends the table format to the data storage module for storage, the screening module is connected to the data storage module and is configured to screen data in a table stored in the data storage module, and the recovery management module is configured to generate a battery recovery table.
Specifically, the system mainly adopts an MES management system, a main control module is arranged in the system, the main control module is connected with an acquisition module, the acquisition module comprises a scanning gun, a real-time recorder, a counter and a production line monitoring host, wherein the scanning gun is used for scanning the current product ticket number of raw materials and online the raw materials, the real-time recorder generally adopts a tablet personal computer and is used for recording bad conditions on each station and selecting and switching the current production order and shift, the counter is arranged at the raw material inlet of each station and is used for counting the raw materials entering the station, and the production line monitoring host is used for feeding back the implementation state of the production line and receiving an instruction sent by the main control module to give an alarm so as to prompt that the raw materials on-line need to be scanned; the main control module integrates data transmitted by the scanning gun into a raw material on-line ticket comparison relation table, integrates bad data acquired by the real-time recorder into a defective product record table and transmits the defective product record table to the data storage module for storage, the main control module screens the raw material on-line ticket comparison relation table and the defective product record table in real time according to the working state of the production line fed back by the production line monitoring host, deletes the corresponding raw material number under the same sequence number in the raw material on-line ticket comparison relation table as that in the defective product record table, screens the raw material on-line ticket comparison relation table after the recording station works, returns a signal to the main control module when the corresponding raw material in the row of the finished product on-line ticket is empty, and the main control module receives the signal and controls the production line monitoring host to alarm to prompt that the raw material needs to be scanned on the line; the MES management system, the scanning gun, the real-time recorder, the counter and the production line monitoring host are the prior art.
As shown in fig. 3, the production line monitoring host further includes a monitoring module, and the monitoring module is configured to display states of each station of the production line, including data such as a production order number, an article name, an order quantity, a current quantity, an achievement rate, a component type, a remaining quantity, and a product serial number corresponding to each raw material at each station, and details, so as to help a person to better monitor and manage an overall operation status of the production line.
The working principle is as follows:
firstly, inputting order conditions to be produced in a system, wherein the order conditions comprise order numbers, order quantity and the like, sequentially scanning existing product tickets of raw materials through a scanning gun according to the order quantity, feeding the raw materials into a raw material serial number line, receiving data scanned by the scanning gun by a main control module, integrating the data into a raw material existing product ticket comparison relation table from top to bottom according to the entering sequence, generating finished product existing product ticket serial numbers in the table according to the order quantity, transmitting the finished product existing product ticket serial numbers to a data storage module for storage, operating the production line, transporting various raw materials to a specified station, counting through a counter when the raw materials enter the station, transmitting the counting to the main control module, feeding back a line generation condition to the main control module by a production line monitoring host, producing and processing the raw materials into semi-finished product batteries through each station, recording the defective condition at the first time after the defective condition is found through a real-time recorder in the assembling process, generating a defective product record table after the defective product record table is transmitted to the main control module for integration, transmitting the defective product record table to the data storage module, and simultaneously, screening the original product existing product ticket serial numbers which are the same as the original product tickets, and deleting the corresponding to the original product serial numbers in the original product ticket record table, thereby deleting the original product serial numbers in the original product tickets; the assembled semi-finished product battery carries out the recording of finished product present ticket serial numbers at a recording station, the recording is carried out from top to bottom according to serial numbers in a raw material present ticket comparison relation table, when the recording is carried out at the recording station, a screening module can screen the raw material present ticket comparison relation table in real time, when raw materials corresponding to a finished product present ticket row are empty, a return signal is sent to a main control module, the main control module receives the signal and controls a production line monitoring host to give an alarm, the on-line raw materials are required to be scanned, so that the quantity of the raw materials on the production line is sufficient and can be smoothly carried out, the production efficiency is improved, the raw materials in the whole production and assembly process are all monitored by the production line monitoring host, and the whole assembly process of the semi-finished product battery can be traced.
And the recovery management module can supervise the later recovery of the semi-finished product batteries, records the sale channels and time of the semi-finished product batteries according to the finished product current tickets of the semi-finished product batteries, records the recovery time and the recovery post-processing mode of the recovered semi-finished product batteries according to the current tickets of the semi-finished product batteries, numbers the current tickets of other recovered batteries without the current tickets, records the recovery time and the recovery post-processing mode of the recovered batteries, and realizes the recording and traceability of the whole process from the production to the recovery of the batteries.
The above description is intended to describe in detail the preferred embodiments of the present invention, but the embodiments are not intended to limit the scope of the claims of the present invention, and all equivalent changes and modifications made within the technical spirit of the present invention should fall within the scope of the claims of the present invention.
Claims (8)
1. A battery production recovery overall process tracing method based on the Internet of things is characterized by comprising the following steps:
s1: scanning raw materials pasted with the existing tickets in batches and getting on line to generate a raw material existing ticket comparison relation table;
s2: counting the raw materials entering the station, and sequentially assembling;
s3: recording the bad conditions generated in the assembling process to generate a bad product record table;
s4: removing the current ticket number in the current ticket comparison relation table of the raw materials according to the defective product record table;
s5: after removal, the numbers below the row are integrally moved upwards to carry out bit complementing;
s6: after the assembly is finished, recording the finished product current ticket serial numbers of the semi-finished product batteries, wherein the finished product current ticket serial numbers are codes generated in sequence in a raw material current ticket comparison relation table after bad codes are removed and filled, and counting again after the raw material current tickets are packed according to groups;
in step S6, the assembled semi-finished product battery carries out the recording of the serial numbers of the finished product current tickets through recording stations according to the order of completion;
s7: recording according to the current finished ticket code, and recording the recovered battery;
each type of raw materials takes a group as a unit, each group comprises a plurality of similar products, one group corresponds to one outsourcing product current ticket code, and each row corresponds to one raw material type in a raw material current ticket comparison relation table and is arranged from top to bottom in sequence according to a scanning sequence.
2. The internet-of-things-based battery production and recovery overall process tracing method according to claim 1, wherein in step S1, the raw materials comprise a battery jar, a battery cover, a separator, raw material lead and a polar plate, wherein the battery jar, the battery cover, the separator and the raw material lead adopt outsourced product tickets, and the polar plate is a self-made product ticket.
3. The Internet of things-based battery production recovery overall process tracing method of claim 1, wherein in step S2, the counter is used for recording the number of raw materials entering the production station and the time.
4. The Internet of things-based battery production recovery overall process tracing method is characterized in that in step S3, when a raw material bad condition occurs in each assembly production station, the bad condition occurrence station, time, reason and raw material corresponding serial number are recorded, and a bad product record table is generated.
5. The Internet of things-based battery production recovery overall process tracing method according to claim 1, wherein in step S4, the same code under the corresponding serial number in the comparison relation table of the current ticket of raw materials is removed according to the corresponding serial number and the code of the raw materials in the record table of the defective products.
6. The Internet of things-based battery production recovery overall process tracing method according to claim 5, wherein in step S6, the laser recording process is monitored in real time, the raw material current ticket comparison relation table is screened, and the on-line vacant raw materials are required to be scanned to complete the quantity corresponding to the current batch of orders when prompting the vacancy of the raw materials in the row where the finished product current ticket code is located.
7. The Internet of things-based battery production and recovery overall process tracing method is characterized in that in step S7, a battery recovery table is generated by recording a late sale channel and a date of the battery according to a finished product current ticket code, and a recovered battery is recorded and marked in the battery recovery table according to a corresponding code.
8. An internet-of-things-based battery production and recovery overall process tracing system is based on any one of claims 1 to 7, and is characterized by comprising a main control module, and a data storage module, a screening module, an acquisition module and a recovery management module which are connected with the main control module, wherein the main control module receives the current ticket data and the adverse condition data acquired by the acquisition module, converts the current ticket data and the adverse condition data into a table format and then sends the table format to the data storage module for storage, and the screening module is connected with the data storage module and is used for screening the data in the table stored in the data storage module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110152085.5A CN112966836B (en) | 2021-02-03 | 2021-02-03 | Internet of things-based battery production recovery overall process tracing method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110152085.5A CN112966836B (en) | 2021-02-03 | 2021-02-03 | Internet of things-based battery production recovery overall process tracing method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112966836A CN112966836A (en) | 2021-06-15 |
| CN112966836B true CN112966836B (en) | 2023-02-07 |
Family
ID=76275017
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110152085.5A Active CN112966836B (en) | 2021-02-03 | 2021-02-03 | Internet of things-based battery production recovery overall process tracing method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112966836B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114153991A (en) * | 2021-12-14 | 2022-03-08 | 中国电子技术标准化研究院华东分院 | Knowledge graph method based on intelligent manufacturing scene |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103618385A (en) * | 2013-12-03 | 2014-03-05 | 国家电网公司 | State estimation data correction system and method for improving accuracy |
| CN107894755A (en) * | 2017-11-23 | 2018-04-10 | 浙江正泰中自控制工程有限公司 | A kind of product method for tracing of a collection of more than one piece management mode, photovoltaic production system |
| CN108492113A (en) * | 2018-03-03 | 2018-09-04 | 青岛优悠乐联信息有限公司 | A kind of method that statistics carries out product back-tracing is filled using production time subpackage |
| CN109101632A (en) * | 2018-08-15 | 2018-12-28 | 中国人民解放军海军航空大学 | Product quality abnormal data retrospective analysis method based on manufacture big data |
| CN109344933A (en) * | 2018-10-29 | 2019-02-15 | 长沙凹印软件开发有限公司 | Quality tracing method and system applied to press |
| CN110045704A (en) * | 2019-04-26 | 2019-07-23 | 无锡先导智能装备股份有限公司 | The retroactive method of creation data |
| CN110675163A (en) * | 2019-09-19 | 2020-01-10 | 珠海格力智能装备有限公司 | Method, system, storage medium and electronic device for realizing production flow tracing |
| CN111353559A (en) * | 2020-02-28 | 2020-06-30 | 无锡沃尔德信息科技有限公司 | Data acquisition and tracing system for PVC decorative film whole production process |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102542048B (en) * | 2011-12-28 | 2013-09-11 | 用友软件股份有限公司 | Data matching device and data matching method |
| CN106372944A (en) * | 2016-08-23 | 2017-02-01 | 苏州博众精工科技有限公司 | Data table-based product tracing method and system |
| CN107844088A (en) * | 2017-10-30 | 2018-03-27 | 郑州云海信息技术有限公司 | A kind of device and method of record PCBA material informations |
| CN109598521A (en) * | 2018-11-30 | 2019-04-09 | 北京黎马敦太平洋包装有限公司 | A kind of product back-tracing method for printed matter |
| CN110378582A (en) * | 2019-07-05 | 2019-10-25 | 南京简睿捷软件开发有限公司 | A kind of two-way retroactive method of production overall process and system |
| CN111159645B (en) * | 2019-12-19 | 2023-06-06 | 成都数之联科技股份有限公司 | Bad root cause positioning method based on product production histories and parameters |
| CN111506562A (en) * | 2020-03-24 | 2020-08-07 | 唐山不锈钢有限责任公司 | EXCE L-based automatic identification method for quality detection laboratory abnormal data |
| CN111709763A (en) * | 2020-05-21 | 2020-09-25 | 合肥国轩高科动力能源有限公司 | Lithium battery production data tracing method |
| CN111898952A (en) * | 2020-07-29 | 2020-11-06 | 瑞熙(苏州)智能科技有限公司 | Accurate tracing method for batch management materials |
| CN112024462A (en) * | 2020-08-26 | 2020-12-04 | 深圳市华磊迅拓科技有限公司 | Defective material removing equipment and control method and control device thereof |
| CN112288327A (en) * | 2020-11-23 | 2021-01-29 | 格力电工（眉山）有限公司 | Material tracing method and system, storage medium and electronic equipment |
-
2021
- 2021-02-03 CN CN202110152085.5A patent/CN112966836B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103618385A (en) * | 2013-12-03 | 2014-03-05 | 国家电网公司 | State estimation data correction system and method for improving accuracy |
| CN107894755A (en) * | 2017-11-23 | 2018-04-10 | 浙江正泰中自控制工程有限公司 | A kind of product method for tracing of a collection of more than one piece management mode, photovoltaic production system |
| CN108492113A (en) * | 2018-03-03 | 2018-09-04 | 青岛优悠乐联信息有限公司 | A kind of method that statistics carries out product back-tracing is filled using production time subpackage |
| CN109101632A (en) * | 2018-08-15 | 2018-12-28 | 中国人民解放军海军航空大学 | Product quality abnormal data retrospective analysis method based on manufacture big data |
| CN109344933A (en) * | 2018-10-29 | 2019-02-15 | 长沙凹印软件开发有限公司 | Quality tracing method and system applied to press |
| CN110045704A (en) * | 2019-04-26 | 2019-07-23 | 无锡先导智能装备股份有限公司 | The retroactive method of creation data |
| CN110675163A (en) * | 2019-09-19 | 2020-01-10 | 珠海格力智能装备有限公司 | Method, system, storage medium and electronic device for realizing production flow tracing |
| CN111353559A (en) * | 2020-02-28 | 2020-06-30 | 无锡沃尔德信息科技有限公司 | Data acquisition and tracing system for PVC decorative film whole production process |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112966836A (en) | 2021-06-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105182935B (en) | A kind of production management system and its control method | |
| CN203324786U (en) | Intelligent type self-service flow production line based on internet of things | |
| CN105069584A (en) | Liquid crystal glass substrate post-processing production information management system and management method | |
| CN105225028A (en) | A kind of liquid crystal glass base production information method for tracing based on virtual ID | |
| CN110910060B (en) | Automatic control management system of dyeing material consumption model | |
| CN105260816A (en) | Aircraft full-life-cycle configuration management system | |
| CN112770088A (en) | AI video linkage perception monitoring system | |
| CN102254142B (en) | Storage battery production data acquiring device and controlling method thereof | |
| CN109117526B (en) | Data recording and analyzing system applicable to maintenance guide of mechanical system equipment | |
| CN112966836B (en) | Internet of things-based battery production recovery overall process tracing method and system | |
| CN103499963A (en) | Remote monitoring system and method for coke oven vehicle equipment | |
| CN110288361A (en) | A kind of have furniture made to order information tracking method and system based on Life cycle | |
| CN112508486A (en) | Secondary spare part inventory management system for power system enterprise | |
| CN115423289A (en) | Intelligent plate processing workshop data processing method and terminal | |
| CN103699964A (en) | Agricultural-product tracing system based on evidence-chain and supply-chain panels | |
| CN114970954A (en) | Distribution network infrastructure data deepening application component engineering material prediction model system | |
| CN111915167A (en) | Intelligent manufacturing virtual shipyard information model construction method | |
| CN112255969A (en) | Data acquisition, analysis and display system and method of numerical control machine tool | |
| CN110826926A (en) | Intelligent manufacturing execution system for surface assembly production line | |
| CN115689796A (en) | Plastic-based flexible production line manufacturing system based on cloud chain | |
| CN113191697B (en) | Intelligent management system of tire mold and working method thereof | |
| CN102053571A (en) | Data acquisition method of information acquisition terminal | |
| CN113673952A (en) | Cloud service system based on industrial internet platform | |
| CN113901026A (en) | Sulfur hexafluoride material management and control method and system based on big data | |
| CN113570335A (en) | Customized furniture intelligent visual system and production process |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |