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Industrial Robots
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JR series (industrial six-axis)
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JH Series (Welded/Hollow)
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BR Series (Double Spin)
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SR series (planar four-axis)
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MD Series (Palletizing)
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HC series (planar four-axis)
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Collaborative robot
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Compound robot
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Industrial Software
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Core Components
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Standard peripheral products
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Industry Program
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3C industry
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Shoes and clothing industry
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Automotive industry
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Home appliance industry
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Metal Processing Industry
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Other Industries
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Process Scheme
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Welding application
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Handling application
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Assembly application
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Machine application
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Grinding application
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Glue application
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Spray Application
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Other Applications
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Digital Solutions
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■System Overview
Digital twin is the precise mapping and dynamic simulation of physical world entities in digital space. Using advanced sensing technology, Internet of Things, big data analysis and high-performance simulation and other technical means, build a virtual model that runs synchronously with physical entities. Through real-time monitoring, data analysis and prediction, optimization decision-making and other processes, we can achieve in-depth insight and precise control of the physical world, so as to improve production efficiency, reduce operating costs, enhance product quality and accelerate product innovation.
■overall system architecture
■%System technical route
For multi-source heterogeneous data such as processing equipment, logistics equipment, environmental systems, energy systems, intelligent instruments, sensors, etc. in the actual production line of dynamic physical workshop, a real-time perception model based on the new generation of information technology of the Internet of Things is established.
■System function
■System Case GIF
By obtaining the temperature, vacuum degree, micro-pressure pressure, partial pressure, strong cold pressure and other parameters of solid sintering furnace operation, the application of equipment state monitoring and motion process simulation, virtual sintering execution and historical data-driven sintering are realized. Based on the quality prediction model to predict the sintering quality of the current parameters, to assist managers in production decision-making and improve production efficiency.
■System Case GIF
The digital twin of the surface treatment production line realizes real-time monitoring, simulation, prediction and optimization of the whole process of surface treatment production through advanced technical means such as virtual simulation, big data analysis and cloud computing, so as to improve production efficiency, ensure production safety and promote the intelligent transformation of the surface treatment industry.
■System Case GIF
Digital twin of electronic detonator realizes real-time monitoring, simulation, prediction and optimization of the whole production process of electronic detonator through advanced technical means such as virtual simulation, big data analysis and cloud computing, so as to improve production efficiency, ensure production safety and promote the intelligent transformation of civil explosive industry.
■System Case GIF
The digital twin of industrial explosives realizes real-time monitoring, simulation, prediction and optimization of the whole process of industrial explosive production through advanced technical means such as virtual simulation, big data analysis and cloud computing, so as to improve production efficiency, ensure production safety and promote the intelligent transformation of the explosive manufacturing industry.

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