Through modeling and simulation based on the digital twin technology, we can realize real-time monitoring and analysis of the production process, optimize the production process, improve production efficiency and product quality. Based on intelligent scheduling, we can improve production planning and response speed; Through data mining and analysis, we can realize visualize the operations data which supports the data-driven decision-making; Thus we can make the production process transparent and facilitate the digital transformation of intelligent factories.
Conduct a systematic analysis of the current industry and fully understand the current situation of the industry
Production system
In the production process, the information of each link exists independently in each system, and the production execution query process cannot be visualized and cannot be presented intuitively.
Production progress
There are many factors influencing the production schedule, and there are often emergencies such as urgent orders, equipment failures, and process changes, and the factory cannot adjust the production plan in real time, which is out of touch with the actual production.
On-site management
Due to the frequent delivery, long production cycle and complex production process, it is necessary to track the production progress of the site at any time and balance the load capacity of the production equipment.
Equipment management
Equipment management is disordered, lack of equipment life cycle management, slow response to abnormalities, and imperfect failure mechanism.
Data Applications
The transmission of production data in the factory is lagging and unsmooth, the equipment networking and collection ability are difficult, the data value mining is lacking, and the corresponding monitoring, diagnosis and prediction functions are lacking.
Value Empowerment
Provide corresponding value for the industry, empower development, and facilitate transformation
Management efficiency increase20~30%
Through the data integration of multiple parts and multiple production links, the problem of data islands in smart factories is solved, and the efficiency of collaboration and response between various departments is improved, which provides great convenience for the management and scheduling of management operators.
Production efficiency increased10~30%
Unified collection and storage of production-related process, planning, quality, logistics and other data. Through comparison and analysis with historical data, we can provide relevant reasonable suggestions for the production process, and then improve the production efficiency of intelligent manufacturing factories.
Labor cost reduced10~20%
The collected and analyzed data is visually displayed in the form of visual charts to help on-site operation and maintenance personnel view and maintain in a timely manner, reducing the cost of manual inspection and data analysis.
Failure rate reduced10~20%
Through the detection of equipment operation data, the operation health status of the equipment is analyzed, the equipment fault diagnosis is carried out, and the possible problems of the equipment are predicted, so as to carry out preventive maintenance and reduce the downtime of equipment failure.
Overall architecture
With the digital twin as the core, we will create full value stream control from procurement, warehousing, logistics, production, quality, process, and delivery, digitally empower business, and twins lead innovation.
Integration
Relying on the cloud of voltico-lithium code · The IOT platform realizes the integrated integration of the system and related hardware of the production plant, builds the digital management and control of the factory based on the digital twin, and builds an intelligent, information-based and digital future factory.
Functional composition
Based on the base of the lithium code platform, with the idea of promoting the digital lean factory as the traction, and the leading digital twin factory as the goal, we will create a digital twin factory that can "express, think, know and judge, and assist decision-making".
Core Features
Provide users with efficient and convenient solutions to empower the development of enterprises
Personnel management
Realize the precise control of personnel, improve management efficiency, grasp the dynamics of personnel in real time, and conduct personnel command and dispatch in a timely manner.
Equipment management
Realize real-time management of equipment, accurate positioning of equipment alarms, help maintenance personnel maintain accurately, and present the historical operation track of equipment.
Material management
Access to WMS, MES and other platforms, real mapping of edge library materials and inventory materials, production line products with the process of material status changes.
Process management
Standardized operation instruction import, real-time understanding of on-site operation instruction changes, presentation panel of process parameters, real-time parameter information on site, real-time beat statistics.
Environmental management
Monitor all kinds of waste values and environmental values, and monitor the whole process and test environmental indicators in combination with enterprise asset data files.
Quality control
The quality data is combined with three-dimensional, displayed through charts and other forms, and the quality defect warning card, quality problem list, quality requirements and other related data are presented.
Customer Success Stories
InduIndustry News
Learn about the industry news and market trends
Other Solutions
With digital twin technology and in-house developed J3D engine, Jerei can provide a full scenario solution for virtual simulation training.
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