Digital Twin Factory
Digital Twin Exists Everywhere
JIC Digital Twin is used to construct a virtual twin factory. The virtual simulation on the datum about control, operation, quality, material consumption, energy consumption and other data of the physical space in the factories is carried out by building real-time mirroring in the virtual space, and the simulation results are applied in the site of physical space.
Digital Twin Exists Everywhere
Visualized Management on Data
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Visualized Management on Data
In a real-time and dynamic way, production state, consumption state of raw materials, operation state of devices, productivity state can be reflected in the process of production and normal operation parameters can be set. Abnormal situations in the operation process is prompted in the way of visualized alarming, data-driven basis is provided for Digital Twin factories. Real-time analysis and application of perceived data is realized.
Intelligent Operation of Factories
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Intelligent Operation of Factories
Targeted production and digitalized operation are conducted based on total-factor management on data-driven factories to realize smart management, to perceive operation state of factories in real time, to construct overall-perception Digital Twin factories, which provides an overall scenario for the following intelligent operation as well as guidance for intelligent management on decision making to realize smart operation.
Digitalized Operation
JIC Digital Twin Platform creates a real-time, accurate and efficient enterprise-level integrated platform for operation and management of smart bus for the Bus Group, to realize monitoring on operation state of buses and visualized shceduling. It also provides clients with new solution to smart operation & maintenance and management of buses.
Targeted Production
JIC can provide cloud storage, big data processing, edge computing, smart recognition algorithm, console control, system docking and other solutions about software and hardware to facilitate the management on smart protection and defense.
Smart Control
Via online measurement on data, acquisition on historical operation data of electricity system, integrated with electricity, computer, communication, climate, economy and so on, JIC Digital Twin constructs digital twin of smart electricity grid to reflect process of product lifecycle.
Massive Industrial Mechanism Model Base
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Massive Industrial Mechanism Model Base
Millions of industrial base models, digital models, control models have been accumulated in the Digital Twin Platform to transform Invisible Data into Visible Operating Instruction, to promote the Scientific Decision Making and Autonomous System in the whole production process of enterprises, to simulate on production process of factories by utilizing models and to generate optimal production solution quickly.
Mechanism Models
Mechanism models are used in the internal production mechanism of factories or some precise models are established via the transfering of material flow.
Parameters of Production Process
Parameters of production process can be solidified into related programming algorithm, embed into Digital Twin Platform to form data and process assets.
Device Models
Basic models are formed for composition principles of devices or spare parts management, which is convenient for operating training and maintenance of devices.
Control Model
According to control on key parameters of production, and input / output results, control model for the black box in the client terminal of process equipment can be learned.
Data Algorithm
Aimed for complex process devices, after knowing basic control models, simulation on system can be conducted via data algorithm.
Management Experience
Factories for long-term running can digitalize the management experience based on data-driven management to form invisible management assets.
Analysis on Data Assets
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Analysis on Data Assets
Massive production datum are accumulated in Digital Twin Factory, including all-round datum such as workers, machines, materials, rules, environment, ERP and so on. Based on data-driven optimization and innovation of businesses, confined factors on production can be eliminated, and general production efficiency as well as management level can be improved. The assets can be truely realized and competiveness of enterprises can be raised.
Wastes Elimination
Based on data-driven innovation of businesses, brand new management modes and lean management concept can be brought for managers of businesses to eliminate all kinds of wastes in the process of production.
Data Assets
Data is regarded as a kind of asset, and the value of data can be explored by making full use of the algorithm of big data. Predictive maintenance on devices can be conducted according to data model to reduce the downtime.
Globally Digitalized Management on Equipment Assets
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Equipment Asset Management
Digital Twin Factory constructs virtual models of factories to realize the digitalized management on all assets. Assets can be sorted and be conducted unified online management to eliminate discrete management on traditional equipment assets, to raise the efficiency, transparency and utilization rate of asset management.
Device Management
Management on Materials
Management on Inventory
Clear Responsibility Management
Management on Energy Consumption
