Intelligent production information system solutions for the lithium battery industry


Intelligent production information system solutions for the lithium battery industry

1. Project Overview

A lithium battery material manufacturing company has a high level of production automation (the factory uses AGV, RGV scheduling), but the level of production information is not high, the management level of the production process is relatively backward, the production cycle is relatively long, and the production equipment is more and different Estimation of equipment capacity in the production section is complicated, uneven production and non-sharing of production dynamic information have brought huge difficulties to on-site management. Enterprises urgently need to adopt detailed and accurate production planning, job scheduling, production tracking, on-site semi-finished product inventory management, and material management. And other measures. Therefore, a system platform is required to be able to effectively collect and integrate all production data in the factory, to realize the automatic collection and tracking of the production process, to realize the intelligent scheduling of the production process and process materials in the factory, to establish a quality management system and a complete quality inspection mechanism and to control the equipment in the factory. Carry out intelligent management, comprehensively improve the efficiency of production execution, realize the integration of production management and control, and improve the management efficiency and profitability of the enterprise.

2. Function highlights

The intelligent production management system solution (MES system) of the lithium battery industry is committed to opening up the connection between the production site process control layer and the lithium battery material enterprise operation management from the six dimensions of production progress, quality, energy consumption, material consumption, equipment, and personnel, and promote The automation of information flow between the production process system and the lithium battery material enterprise operating system.

  • Big data collection and storage provide data support for management modules such as production, production management, quality management, equipment management, and plant production optimization;
  • Solve the problem of opacity in the process of order placement of upper-level ERP tasks and decomposition and execution of production tasks through the management of factory production plans (planning and scheduling functions);
  • Solve the problems of unfixed production cycle and large amount of temporary production scheduling tasks, and reduce costs as much as possible while meeting customer delivery dates and quality requirements, and solve the conflict and balance problems between plans and goals;
  • Optimize production planning and production scheduling models, support coordinated production scheduling of multiple production lines and help enterprises realize systematic applications;
  • Real-time grasp of the system operation status, timely take scheduling measures to make the system run in the best possible state and minimize the impact of accidents, and take decentralized control and centralized management of the production process sections of the plant;
  • The informationization of production scheduling realizes the information interaction with multiple systems, and the unmanned management and scheduling of intelligent transportation equipment such as RGV/AGV realizes the automatic transportation of production materials and avoids the occurrence of mixing incidents from the source;
  • Realize the intelligent scheduling of production processes and technological processes in the factory. Through the management, tracking and tracing of the material scheduling process, the monitoring of the three-dimensional library material inventory information ensures the accuracy of production scheduling, improves production efficiency and guarantees product quality;

3. Project summary or typical application

Through this system, the following effects can be achieved:
  • Realize automatic collection and tracking of production process information, and improve production execution efficiency;
  • Take digital auxiliary production scheduling as the core, optimize production plans and production scheduling models, support coordinated production scheduling of multiple production lines, and realize systematic application;
  • Through the material scheduling management module, complete the intelligent scheduling of plant production processes and technological processes, realize the management, tracking and tracing of the material scheduling process, and monitor the material inventory information of the three-dimensional library.
  • Establish a mobile monitoring center for production and operation at the workshop site, at the factory level, and at the company level to support early warning of various operational problems and improve the efficiency of cross-departmental business collaborative management related to production.
  • Establish a paperless, information-based quality management system and a complete quality inspection mechanism for the entire factory, intelligently remind quality inspectors of quality inspection items in the process section according to production progress and assist quality inspectors to enter quality inspection reports.
  • Realize the intelligent management of plant equipment, including equipment ledger, equipment check, equipment maintenance, and equipment repair functions, and improve the efficiency of plant equipment management.
  • Real-time grasp of system operation status and timely dispatching measures to make the system run in the best possible state, minimize the impact of accidents, and adopt decentralized control and centralized management of the energy system.

Through the application of the system, gradually optimize the production process of the enterprise from six dimensions, accumulate data information such as the production process, quality, and cost of the lithium battery cathode material enterprise, and form big data resources such as enterprise production data, process parameters and quality data. At the same time, data analysis is carried out based on the above-mentioned data resources, so as to improve the networked, digital and intelligent level of production and manufacturing in the lithium battery cathode material industry, and gradually realize intelligent manufacturing.

4. the project operation screen

Material inventory kanban: real-time monitoring, inventory materials

Work order progress dashboard: real-time work order progress and output statistics

Process overview: monitor production data and equipment status in the factory.

Basic data management: Define basic parameters such as modules, production lines, and process routes in the MES system.

Production plan formulation: MES system reads ERP orders and decomposes them into production work orders, and prepares material plans and production line plans for production work orders. After the production plan is prepared, the manufacturing order form will be reviewed and issued.

Manufacturing order query and issuance: MES system automatically generates manufacturing order after the production plan is prepared, and MES system automatically generates material requisition after query and issuance.

Material scheduling: After the MES system generates the material requisition, it performs intelligent scheduling according to the material order signal of the production line. Arrange the AGV trolley and RGV trolley for material scheduling and transport the materials to the designated feeding point. Material scheduling overview: displays all scheduled tasks and displays the completion progress of each task.

Production line production live query: MES system automatically counts the production line production status and displays the production data in the corresponding kanban.

Work order input/receiving information query: The planned production live interface will count the completion of the work order, display the current completed process of the work order, the process to be produced, and the production details of each process.

Production data statistics: MES system automatically settles batch input/receipt information, counts the input and receipt of each batch of work orders, and calculates the input/receiving ratio.

Equipment management: The equipment ledger shows the correspondence between the plant area, production line, equipment, and detailed equipment information. The MES system equipment maintenance and repair module will automatically generate maintenance work orders according to the maintenance cycle.

Equipment maintenance: The MES system can automatically generate maintenance work orders for regular maintenance according to the maintenance cycle, or manually generate and dispatch maintenance work orders based on on-site conditions.

Energy management: The MES system will collect energy consumption meters in the plant area in real time, automatically count the energy consumption of the plant area, and form corresponding charts.

Document management: Users can upload, download, and preview work instructions online through the MES system. At the same time, users can divide the security level of controlled files through the MES system. Only users who meet the browsing authority can perform related operations on the documents.