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IoT



Smart Industry



Overview


The Smart Industry solution applies IoT, cloud computing, big data, and AI technologies to all links of industrial production. It helps enterprises establish intelligent factories, reduce costs, workload, and resource consumption, and improve product quality, management efficiency, innovation capability, and manufacturing flexibility. It also promotes cross-industry cooperation, reduces transaction costs, and encourages innovation, improving the overall competitiveness of industries.


The deep integration of next-generation information technologies with manufacturing has triggered industrial transformation with profound influence. The manufacturing industry of tomorrow focuses more on intelligence, personalization, and customization rather than scale and standardization, which will give birth to new production modes, intelligent products, and business models.








Highlights


Industrial data collection
·  Provides data cache and edge computing and analysis
·  Collects controller data

·  Collects data from control devices and instruments


Complete model algorithms
·  Power consumption assessment model: analyzes the measurement point capacity and required electric charge to predict the demand trend and electric charge and proposes the optimal payment plan;
·  Fault prediction model: analyzes collected data, historical fault data, and device service life, creates fault prediction models, and provides damage prediction plans;
·  Performance maintenance model: analyzes device information, including vibration, noise, temperature, pressure, and video images, and performs device performance modeling to generate maintenance decision-making plans;

·  Production status model: uses 3D configuration to present the status of simulated factory production and components, and monitors them in real time.


Industrial data for better industry
·  From OT to IT: utilizes the industrial device data in device controllers to improve production efficiency and reduce energy consumption;
·  Device portrait: obtains device parameters, adds device tags, including capability tags, value tags, and health tags, and uses algorithm models to create device portraits by running status, energy consumption, fault, and service life;
·  Intelligent diagnosis: performs intelligent diagnosis based on images and industrial data and uses AI algorithms to continuously optimize device parameters and production capacity;
·  Energy saving: proposes optimization solutions based on historical energy consumption data and provides intelligent power purchase services.