The lithium salt industry is in urgent need of digital transformation to cope with the increasingly fierce market competition.
Traditional production methods rely on manual operation, which is inefficient and difficult to cope with the rapid changes in market demand.
Chemical handling is potentially dangerous, and traditional safety measures are not sufficient to fully prevent accidents.
Waste of raw materials and energy is serious, increasing production costs.
Product quality control relies on manual inspection, which cannot ensure the consistency of each batch of products.
Environmental regulations are becoming more stringent, and companies need to become more efficient in waste treatment and energy use.
Lithium Concentrate Transformation Rate
Laboratory Efficiency
Roasting Energy Consumption
Test Accuracy
Production Efficiency
Labor Intensity
Unified management, data visualization data driven
The advanced process control ( APC ) kiln expert system uses process modeling and control algorithms to analyze real-time data and adjust control strategies, ultimately improving production efficiency, reducing energy consumption, and optimizing product quality.
Through the real-time monitoring and energy efficiency analysis of various energy consumption such as water, electricity, gas and coal in the factory, the reliability and efficiency of energy supply are improved, the users are helped to achieve energy conservation and emission reduction, and the managers are more fully and deeply understood. The energy utilization status of the enterprise provides multi-faceted visual data information support for enterprise decision-making.
The 3D twin factory gathers and integrates the ten thousand-level sensors on the factory through the ' Galileo ' industrial middle platform to interact with the real-time operation data of the factory and the factory under 3D modeling to obtain an online 3D twin platform to realize historical state backtracking, real-time operation supervision and future risk prediction.
The use of bar code, radio frequency identification technology, sensors, positioning system and other advanced Internet of Things technology through information processing and network communication technology platform is widely used in the logistics industry transportation, warehousing, packaging, loading and unloading and other basic activities, to achieve automated operation and efficient optimization management of cargo transportation process, improve warehousing management efficiency, reduce costs, Reduce the consumption of natural resources and social resources
Take equipment and spare parts as the basic management objects, manage the whole life cycle of equipment, complete the planning, approval, arrangement, implementation and acceptance process of daily equipment maintenance, and manage and improve various operating standards, maintenance strategies, spot inspection standards and lubrication standards in the system. Help enterprises optimize the equipment management process, improve the utilization rate of equipment resources, save maintenance costs, and improve the overall efficiency of enterprises.
With modern information technology such as IC card and two-dimensional code, intelligent logistics system realizes efficient management of factory logistics. The system optimizes the process of material receiving and receiving, storage and distribution, reduces logistics costs, improves logistics speed and accuracy, ensures the timely supply of materials on the production line, and supports the efficient operation of enterprise production.
Production management is divided into: ①production organization; ② Production plan; ③ Production control work; ④ Normal delivery. The purpose of adopting production management is to improve the productivity of enterprises, efficiently manage the production process, and improve the competitiveness of enterprises.
In the process of cement production, all the information collection, statistical analysis and control adjustment of quality control are involved in the whole process from raw materials to cement products, so as to provide timely and accurate information for the decision-making of quality professionals and management.
The automated laboratory uses automation and information technology to modernize sampling, sample preparation, analysis and data management, aiming to improve efficiency and accuracy and reduce human error.
Optimize the production process, dynamically adjust the process, product quality and production efficiency are significantly improved.
Strengthen energy management and control, improve the process flow, and greatly reduce the comprehensive energy consumption per unit product.
The predictive maintenance model of equipment is established, the accuracy of fault warning is high, and the maintenance cost is reduced.
The application of big data analysis, multi-dimensional presentation of business conditions, to provide strong support for decision-making.
By increasing the transformation rate of roasting kiln and other process levels, the profit rate of the enterprise is improved.
Break through supply chain barriers, share information with upstream and downstream enterprises, coordinate business, and shorten delivery time.
National High-tech Enterprise
Sichuan High tech Enterprise
"Galileo Platform"Rapid Deployment
Implementation Team one-on-one
National Industrial Internet
Alliance Working Group Core unit
200+Intellectual Property
10Year IoT Technology Accumulation
200+Industrial Cooperation Cases
3000K Access Equipment