“Data+Construction and Operation” Dual Platforms to Build a Smart Grain and Oil Factory
RLX2-IHNF-A Based on data collection from on-site production factors to data circulation and sharing on the factory operation side, grain and oil enterprises can further process and analyze data, and form insights that can guide their own production and operation, maximizing the value of data. To this end, Schneider Electric provides a data platform that integrates data collection, storage, cleaning, and analysis at the factory level, as well as a factory construction and operation platform that includes comprehensive functions such as digital delivery platform construction, production and warehousing, equipment and energy management, to help customers build smart grain and oil factories, achieve digital construction and intelligent operation.
RLX2-IHNF-A The data platform covers EcoStruxure IoT industrial internet platform, AVEVA PI System big data management platform, and AVEVA Wonderware platform. Among them,
The EcoStruxure IoT industrial Internet platform relies on underlying intelligent devices, fully covering edge, platform, and application level functions. It can seamlessly integrate with the existing information systems of grain and oil enterprises, and build a smart grain and oil processing industry Internet of Things platform. By providing excellent data collection, storage, and intelligent analysis services and fully functional application software, it achieves efficient equipment, control IoT The goal of perceiving interconnectivity and collaborative intelligence. In addition, with the help of sensors and monitoring equipment, farmland, storage, and transportation links can also be connected to the Internet, RLX2-IHNF-A helping workers monitor and collect real-time data on soil moisture, temperature, crop growth, storage environment, etc., thereby helping farmers and agricultural enterprises make more accurate decisions and improving crop yield and quality.
The factory construction and operation platform covers AVEVA AIM digital delivery system, MOM production operation management system, EcoStruxure predictive maintenance consultant (PMA), EMS energy management system solution, and ProLeiT Plant iT process control system. Among them,

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The MOM production and operation management system takes grain and oil product quality traceability as the core and grain and oil production as the main line, covering four aspects of production, quality, warehousing, and operation and maintenance. It can achieve a globally observable, measurable, controllable, and optimized closed-loop management of production and operation activities, helping grain and oil enterprises achieve shorter product innovation cycles, higher product quality and safety, more standardized formula and process control, and more transparent whole process lean management, Reduce waste while improving efficiency, achieving cost reduction and efficiency enhancement.
RLX2-IHNF-A EcoStruxure Predictive Maintenance Consultant is an AIoT intelligent fault prediction technology based on intelligent perception technology and driven by device mechanisms and mathematical models. It can continuously predict and accurately diagnose the types of faults in various basic components of equipment in complex grain and oil production environments. By performing maintenance on related equipment, it reduces the number of unexpected equipment failures and extends the service life of the equipment, Thereby increasing equipment utilization and reducing maintenance costs.
The EMS energy management system, as an integrated computer information system with complete energy monitoring, management, analysis, and optimization functions, is an important component of automation and informatization in grain and oil processing enterprises. It can provide automation and informatization means and methods for enterprise energy management. This system can connect ERP and MES to help grain and oil processing enterprises establish an energy management foundation platform, enhance energy utilization efficiency, and achieve comprehensive monitoring and scheduling of key links such as energy transportation, distribution, conversion, and use within the factory; After establishing an energy data analysis platform, it can also achieve objective, real-time, and efficient presentation of energy data statistics, providing energy management decision-making support for enterprises. In addition, by establishing an advanced, efficient, and most suitable energy management model for factories, combined with energy models, the system can extract information value from energy historical data and help enterprises achieve sustained carbon reduction in RLX2-IHNF-A energy management.
In response to the demand for overall energy consumption monitoring and data transparency management, Schneider Electric has provided an EMS energy management data acquisition and analysis platform solution for a large state-owned grain and oil company, using intelligent energy management to assist its factories in digital upgrading. By establishing an automatic energy data collection network, the company has achieved real-time collection and data cleaning of energy metering data across the entire factory, and combined with production data for energy efficiency evaluation, providing a basis for energy consumption problem diagnosis and energy-saving transformation. In addition, the EMS energy management system establishes a complete energy automatic data acquisition network architecture, a three-level energy consumption KPI analysis system, and an intelligent analysis platform for the entire factory by implementing RLX2-IHNF-A energy data access, storage, aggregation, analysis, warning, and display for the power plant, starch processing workshop, fructose workshop, dextrin workshop, and storage workshop of the enterprise. It not only achieves workshop level energy consumption analysis and energy cost analysis, but also achieves workshop level energy consumption analysis, We have also achieved data connectivity and sharing between the energy management system and other multiple systems.