CN112468542B - Battery production energy cloud and monitoring method - Google Patents
Battery production energy cloud and monitoring method Download PDFInfo
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- CN112468542B CN112468542B CN202011256673.5A CN202011256673A CN112468542B CN 112468542 B CN112468542 B CN 112468542B CN 202011256673 A CN202011256673 A CN 202011256673A CN 112468542 B CN112468542 B CN 112468542B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- 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
- H01M10/04—Construction or manufacture in general
- H01M10/0404—Machines for assembling batteries
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- 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
- H01M6/005—Devices for making primary cells
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- H—ELECTRICITY
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The energy cloud comprises an energy cloud server, wherein the energy cloud server comprises a first data transmission module for receiving battery formation and capacity grading site central computer or background data and a second data transmission module for performing data interaction with the energy cloud; the energy cloud server further comprises: the database is used for at least storing the historical parameter data of battery formation and capacity grading and the optimized parameter data; the 3D visualization module is used for performing 3D visualization processing on the data received by the first data transmission module; and the 3D visualization module sends the processed data to the second data transmission module. The monitoring method comprises the following steps: and 3D visualization processing is carried out on data from a middle-position machine or a background of a battery production field received by the first data transmission module, and the processed data are transmitted to the second data transmission module. The method has the advantages of enabling the client side to monitor more intuitively and clearly and responding in a multi-user concurrent manner in real time.
Description
Technical Field
The invention relates to an energy cloud of a battery production line and a method for monitoring the battery production line through the energy cloud, in particular to the energy cloud of the battery production and the monitoring method.
Background
The production process of the battery comprises the steps of preparing electrode slurry, coating, punching a pole piece, laminating, assembling a soft package battery, injecting liquid, sealing the battery, forming the battery, grading the battery and the like. The formation and the capacity grading are important process stages for ensuring the quality of the battery.
Chinese patent application publication No. CN107911408A discloses a battery production equipment management method based on cloud services, which provides a battery production equipment management method and system based on cloud services, and the method includes the following steps: collecting data of a core working unit of the battery production equipment, storing and processing the data of the core working unit, and judging whether the battery production equipment needs to be maintained or early-warning; and accurately positioning the battery production equipment which needs to be maintained or is early warned through the ID and/or SN code of the battery production equipment. And predicting the current working state and the upcoming working state of the battery production equipment by storing and processing the data of the core working unit. The method and the system reflect the relation between the battery production data and the cloud service, realize accurate maintenance or early warning of the battery production equipment, can promote safe production, can early warn, and improve economic benefits.
The battery production equipment management method and the battery production equipment management system have the defects that battery production data acquired by a client side are not visual; on the other hand, there is a problem that the request response real-time performance is poor when multiple applications are concurrently performed.
Disclosure of Invention
The invention provides a battery production energy cloud and a monitoring method for solving the problems in the prior art.
It is a primary object of the present invention to provide an improved battery-produced energy cloud;
another object of the present invention is to provide a battery-produced energy cloud having excellent request response real-time performance when multiple applications are concurrently performed;
it is yet another object of the present invention to provide a method for monitoring energy cloud production based on batteries.
In order to achieve the main purpose, the battery production energy cloud provided by the invention comprises an energy cloud server, wherein the energy cloud server comprises a first data transmission module for receiving battery formation and capacity grading field central computer or background data, and a second data transmission module for performing data interaction with the energy cloud; the energy cloud server further comprises: the database is used for at least storing the historical parameter data of battery formation and capacity grading and the optimized parameter data; the 3D visualization module is used for performing 3D visualization processing on the data received by the first data transmission module; and the 3D visualization module sends the processed data to the second data transmission module.
According to the scheme, due to the fact that the 3D visualization module is added into the energy cloud, client monitoring is visual and rapid, managers in different professions can know parameter data across professions visually, the quality of parameters is obvious, and particularly important stages of battery production can be further processed ―― And performing historical analysis comparison and optimization on the parameter data of the formation and the grading.
The energy cloud server further comprises a data analysis application module, which is used for comparing and judging the parameter data received from the first data transmission module with the corresponding optimized parameter data, iterating the original optimized parameter data by the relatively optimized parameter data obtained after comparison, and transmitting the iterated optimized parameter data to the first data transmission module. The scheme has the advantages that optimized parameter data can be transmitted to a central computer or a background of a battery production line site through the first data transmission module, and technological parameters are improved to improve product quality or reduce production cost.
The energy cloud server further comprises an energy query application module which is used for counting and analyzing the consumption states of water, electricity, oil or gas in each process stage of battery production, and the data after counting and analyzing are processed by the 3D visualization module and then transmitted to the second data transmission module. The advantage of this scheme is that the administrator can know the energy consumption state in each technology step of battery production line directly perceivedly through the second data transmission module through the client is long-range.
To achieve the other object of the present invention, a further scheme is that the energy cloud server further includes a server application module having a virtual server (LVS) and a reverse proxy (Nginx), and is configured to map the request from the second data transmission module out of a virtual IP, and forward the relevant request to the Nginx for reverse proxy. The method has the advantages that when the client accesses the energy cloud, the virtual server maps the virtual IP and transfers the related request to Nginx to realize reverse proxy, so that the access and response efficiency is improved.
The further scheme is that the server application module comprises an LVS and more than two Nginx. Nginx handles by forwarding the corresponding access request to the corresponding application. The application realizes task scheduling through the resource manager, and the real-time performance of concurrent processing of multiple applications is guaranteed.
In order to achieve another object of the present invention, the monitoring method provided by the present invention comprises the following steps: and 3D visualization processing is carried out on the data received by the first data transmission module and from a middle position machine or a background of the battery production field, and the processed data are transmitted to the second data transmission module.
The further scheme is that the processed data is transmitted to the second data transmission module through a server application module.
Another further scheme is that the method further comprises the following steps: and comparing and judging the data from the first data transmission module with the optimized parameter data, and iterating the relatively optimized parameter data obtained after comparison with the original optimized parameter data.
The further scheme is that the method further comprises the following steps: and transmitting the optimized parameter data after iteration to a first data transmission module, and sending the optimized parameter data to a middle computer or a background of a battery production field through the first data transmission module to instruct the middle computer or the background to execute the changed optimized parameter data.
Drawings
FIG. 1 is a schematic diagram of an embodiment of the battery production energy cloud of the present invention used in the formation and capacity grading process for battery production;
fig. 2 is a schematic structural diagram of the energy cloud server in fig. 1.
Detailed Description
In the following description of the embodiments, the battery production energy cloud and the monitoring method according to the present invention will be described with reference to the accompanying drawings.
Referring to fig. 1, the energy cloud platform constructed according to the battery production energy cloud of the present invention includes an energy cloud server 1, a middle computer or a background 2 which performs data interaction with the energy cloud server 1 and performs formation and capacity grading processes on a battery production line, and a client 3 which can access the energy cloud server 1. The client 3 may be an integrated large screen 31, a PC 32, a notebook computer 33, a tablet computer 34, a smart phone 35, or the like, and may be accessed by multiple clients as long as the energy cloud can be accessed wirelessly.
Referring to fig. 2, the energy cloud server 1 has the following structural principle and functions, the first data transmission module 11 sends the received formation and capacity grading field process parameter data to the resource manager 13 through the application 12 corresponding to the central computer or the background, and the resource manager 13 may also schedule the application module 14 and access the database 16 through the memory or the cache 15. The memory or cache 15 may also exchange data with the compute engine 17. The client 3 interacts data with the energy cloud server through the second data transmission module 20, the server application module includes a virtual server 19 and two reverse proxies 18, where a Nginx181 is used to implement a long connection, and a Nginx182 is used to implement a balanced load, so that the client 3 can access the application module 14 through the second data transmission module 20 and the reverse proxies 18, and includes a 3D visualization application module 141, an energy query application module 142, and a data analysis application module 143.
The database 16 has a plurality of disk files or sub-databases or partitions, such as sub-database 161 and sub-database 162, and the data exchange between them and the memory or cache 15 adopts the access mode of a distributed file system. There may be other corresponding modules in the application module 14 that have application requirements. There may be more Nginx for the reverse proxy 18, and there may be more virtual servers 19, which may be determined according to the specific usage of the client 3.
The database 16 stores formation and capacity history data, the resource manager 13, on one hand, performs 3D visualization processing on the data transmitted from the first data transmission module 11, and then responds through the second data transmission module 20 according to a request sent by the client 3, on the other hand, compares the data with the optimized parameter data, and iterates the relatively optimized parameter data obtained after comparison on the original optimized parameter data, that is, if the data is more optimal than the original optimized parameter data, the data is used as the optimized parameter data, and the new optimized parameter data is transmitted to the middle position machine or the background through the first data transmission module 11, and instructs the middle position machine or the background to execute the changed optimized parameter data, so as to improve the battery production process; if the data is inferior or identical to the optimized parameter data, the original optimized parameter data is still used as the optimized parameter data.
The battery production energy cloud can be customized according to actual use requirements, and can be a private cloud, a public cloud or a mixed cloud. The operation principle is as follows:
the smart phone 35, the integrated large screen 31, the PC 32 and the like access the energy cloud through the second data transmission terminal, all states of the battery production line of the enterprise are obtained, comparison of various parameters is observed through the 3D visual interface, and a valuable formation process and the like can be obtained through large data analysis. When the client accesses the energy cloud, the virtual server maps out a virtual IP and transfers the relevant request to Nginx to realize reverse proxy, and the Nginx transfers the corresponding access request to the corresponding application module. The application module realizes task scheduling through the resource manager, and guarantees the real-time performance of concurrent processing of multiple applications. The resource manager mainly schedules CPU, memory and IO, so that the resource manager interfaces with cache data and structures the related data into the cache. And the buffer memory is timed again to carry out data intercommunication with the database. The purpose of realizing the method is to transmit data to the energy cloud server at regular time by the middle computer or the background, and store the related data into a database after task scheduling is carried out through the resource manager.
LVS and Nginx: the two-layer framework is implemented to increase the amount of concurrent access. When the smart phone 35 or the PC 32 and the like are connected too much concurrently, the information can be effectively processed and fed back in time.
The resource manager 13: the task system scheduling is mainly used for scheduling the task system, and the task system scheduling is in charge of allocating system resources and maintaining process operation in the same implementation principle as an operating system.
The calculation engine 17: the method mainly realizes data screening, and aims to screen out valuable things from the big data.
Caching: refers to data loaded in a memory, and loads data in a related database into the memory in order to speed up reading and writing of data.
The application module 14: a 3D visualization module 141, an energy query application module 142, a data application analysis module 143, etc., which are mainly functional modules to fulfill top-level user requirements. A B/S architecture can be implemented, while a C/S architecture can also be implemented. The realization principle is as follows: when the webpage accesses the energy cloud server, the access client uses WebSocket as an interface to realize access, and response is realized in a B/S mode at the moment. When accessed with a C/S client, the sockets do not have WebSocket, so the data can be answered as a mode of the C/S architecture. The web page end can be a 3D visualization effect displayed on the web page after the browser accesses the server application to acquire data by using the tools such as the PC 32, the smart phone 35, the tablet computer 34, and the like, and includes functions such as a report and a curve. The PC 32 mainly uses client software designed by the UE4 to communicate with a server application to obtain data, and then displays related reports and curves, and the client designed by the UE4 can realize 3D visualization.
Claims (2)
1. The battery produces an energy cloud comprising
The energy cloud server (1) comprises a first data transmission module (11) for receiving an application (12) corresponding to a battery formation and capacity grading field central computer or background, a resource manager (13) for receiving the application (12), an application module (14) scheduled by the resource manager (13), and a second data transmission module (20) for performing data interaction with the energy cloud;
the method is characterized in that:
a database (16), wherein the database (16) is provided with a plurality of disk files or sub-databases or partitions and is used for storing at least historical parameter data of battery formation and capacity grading and optimized parameter data;
a memory or cache (15), said memory or cache (15) exchanging data with a compute engine (17) for big data screening, said resource manager (13) accessing said database (16) through said memory or cache (15);
a server application module, which comprises a plurality of virtual servers (19) and more than two reverse proxies (18) and is used for mapping the concurrent access request from the second data transmission module (20) out of a virtual IP and forwarding the relevant request to the reverse proxies (18) for reverse proxy;
the application module (14) comprises a data analysis application module (143), an energy query application module (142) and a 3D visualization module (141);
the data analysis application module (143) is configured to compare and judge the parameter data received from the first data transmission module (11) with the corresponding optimized parameter data, iterate the relatively optimized parameter data obtained after the comparison on the original optimized parameter data, and transmit the iterated optimized parameter data to the first data transmission module (11);
the energy inquiry application module (142) is used for counting and analyzing the consumption states of water, electricity, oil or gas in each process stage of battery production, and the data after counting and analyzing are processed by the 3D visualization module (141) and then transmitted to the second data transmission module (20);
the 3D visualization module (141) is further configured to perform 3D visualization processing on the application (12) received by the first data transmission module (11), and the 3D visualization module (141) sends the processed data to the second data transmission module (20).
2. Monitoring method for producing an energy cloud based on a battery according to claim 1, the method comprising the steps of
And transmitting the optimized parameter data after iteration to the first data transmission module (11), and sending the optimized parameter data to a middle computer or a background of a battery production field through the first data transmission module (11) to instruct the middle computer or the background to execute the changed optimized parameter data.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107911408A (en) * | 2017-10-12 | 2018-04-13 | 深圳市保益新能电气有限公司 | A kind of battery production equipment management method and system based on cloud service |
| CN108490361A (en) * | 2018-03-22 | 2018-09-04 | 深圳库博能源科技有限公司 | A kind of state-of-charge SoC computational methods based on high in the clouds feedback |
| CN109976296A (en) * | 2019-05-08 | 2019-07-05 | 西南交通大学 | A kind of manufacture process visualization system and construction method based on virtual-sensor |
| CN111822517A (en) * | 2020-07-14 | 2020-10-27 | 江苏科瑞德智控自动化科技有限公司 | Lithium battery pole piece rolling mill thickness control system based on cloud platform BP neural network |
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- 2020-11-11 CN CN202011256673.5A patent/CN112468542B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107911408A (en) * | 2017-10-12 | 2018-04-13 | 深圳市保益新能电气有限公司 | A kind of battery production equipment management method and system based on cloud service |
| CN108490361A (en) * | 2018-03-22 | 2018-09-04 | 深圳库博能源科技有限公司 | A kind of state-of-charge SoC computational methods based on high in the clouds feedback |
| CN109976296A (en) * | 2019-05-08 | 2019-07-05 | 西南交通大学 | A kind of manufacture process visualization system and construction method based on virtual-sensor |
| CN111822517A (en) * | 2020-07-14 | 2020-10-27 | 江苏科瑞德智控自动化科技有限公司 | Lithium battery pole piece rolling mill thickness control system based on cloud platform BP neural network |
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