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About
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Business advantages
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Business scenarios
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Customer cases
About
Assist enterprises in reshaping their digital capabilities, focus on the pain points in the production process such as efficiency, management, quality, operation and maintenance, and create scenario applications covering the whole chain based on data, computing power and algorithms, thus realizing the operation from manual extensive management to intelligent management, from experience-led to data-driven decision-making, providing all-round decision-making and business assistance for enterprise operations, and injecting new momentum into development.
Business advantages
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Massive data processing capacity
Data is the core of driving decision-making and optimization, and the manufacturing large model has powerful data processing capabilities, which can efficiently process and analyze massive production data, equipment data, supply chain data, etc., providing enterprises with accurate data insights and decision support.
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Production process optimization
Through real-time monitoring and analysis of data in the production process, the manufacturing large model can find bottlenecks and problems in the production process, put forward optimization suggestions, and help enterprises achieve lean production processes. This can not only improve production efficiency, but also reduce production costs and enhance the competitiveness of enterprises.
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Predictive and preventive maintenance
The manufacturing large model can predict the maintenance cycle and possible failures of the equipment through the analysis of equipment operation data, and realize preventive maintenance. This not only reduces the impact of equipment failures on production, but also extends the life of the equipment and reduces maintenance costs.
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Intelligent decision-making support
The manufacturing large model can provide enterprises with data-driven intelligent decision-making support. Through in-depth learning and simulation prediction of complex information such as market trends, consumer behavior, and supply chain conditions, enterprises can formulate more scientific and reasonable strategic planning and improve the quality and efficiency of decision-making.
Business scenarios
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Production and scientific research scenarios
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Business management scenarios
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Product quality inspection scenarios
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Equipment O&M scenarios
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Hairuo manufacturing large model provides intelligent scientific research assistants, liberates scientific researchers from redundant and repetitive work, accurately provides scientific research reference information, assists scientific research personnel in scientific research, improves production and research and development efficiency, and accelerates the progress of production and scientific research.
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Provide enterprise management assistants for enterprise management personnel, help enterprises optimize office and management processes, improve enterprise risk management and control capabilities, assist enterprises in analyzing customer portraits and formulating more accurate sales strategies, and provide strong data support for management decision-making based on massive data analysis to reduce enterprise operating costs.
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The quality inspection of Hairuo manufacturing large model has generalization ability and stronger learning ability, and built-in mature industrial algorithms, provides pre-training model and training platform support, and has a short model application implementation cycle, which is applied in textile, sanitary products, precision processing, food and other industries to improve the accuracy and efficiency of product quality inspection.
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Focusing on the equipment operation and maintenance of the energy manufacturing industry, guided by the concept of precise control and refined service construction, it is applied to the front-line personnel in the energy manufacturing industry in the daily maintenance of equipment, equipment monitoring, troubleshooting, upgrading, etc., and for the problems such as busy daily work and low efficiency of equipment operation and maintenance of front-line personnel, the Hairuo manufacturing large model assists front-line personnel in equipment operation and maintenance, reduces labor costs and time costs, and realizes cost reduction and efficiency increase of enterprises.
Customer cases
Improve service level with cloud computing technology and lead economic development,
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Qilu Pharmaceutical large model
Provide contract review support services, identify potential risks in contracts, and improve the efficiency of contract review. Through the identification and extraction of patent targets through large models, as well as real-time tracking of domestic and foreign industry status, patent targets can be obtained, high-end talent resources can be liberated, and the efficiency of the innovative drug development process can be improved.
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Jingye Steel equipment operation and maintenance model
Multi-modal analysis is carried out through various data sources such as graphical meter reading and graphical temperature recognition, and the root cause is located according to the diagnosis results, so as to improve the equipment early warning ability, reduce the equipment failure rate, reduce the equipment downtime, and realize the cost reduction and efficiency increase in the production process from the perspective of equipment operation and maintenance.
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