Industrial Control System

The Industrial Intelligent Control Engine Powering Lights-Out Factories

Empowering industrial sites with autonomous perception, autonomous decision-making, and autonomous operation capabilities.

SynCore is a next-generation intelligent control and edge computing platform built for industrial environments. By establishing a real-time perception-decision-execution closed loop, it drives the upgrade of factories from traditional automation to intelligent autonomous operation.

Product Overview

SynCore is positioned as the intelligent control nervous system for industrial sites, serving as the core control foundation that drives autonomous factory operations and lights-out manufacturing.

The platform acquires real-time production floor operational status through multiple perception nodes including visual recognition, material analysis, and equipment status collection. Combined with the “NextPrism Tech Corporation Brain” intelligent algorithm engine, it performs dynamic analysis and strategy optimization on full-line data, precisely dispatching optimal control commands to each execution unit to achieve equipment coordination, adaptive parameter adjustment, and closed-loop process control.

Compared with traditional PLC fixed-logic control, SynCore upgrades from preset logic control to data-driven autonomous control, equipping production systems with stronger real-time responsiveness, collaborative optimization capability, and adaptability to complex scenarios.

Core Advantages

Establishing a real-time perception-decision-execution closed loop for industrial sites.

Full-Scenario Real-Time Perception

Integrates multiple perception capabilities including visual recognition, material composition analysis, bin level monitoring, and equipment status collection to acquire real-time production line status, material changes, and critical process parameters, providing a real-time data foundation for intelligent control.

Agent-Driven Decision-Making

Powered by the “NextPrism Tech Corporation Brain” intelligent algorithm engine, the platform continuously analyzes field data, performs dynamic modeling, and optimizes strategies, automatically generating optimal control strategies based on production status to achieve dynamic autonomous control in complex scenarios.

Edge Real-Time Execution

Built on an edge computing architecture, the platform completes data processing, strategy response, and control dispatch at the industrial site, ensuring high real-time performance and high stability for equipment coordination and adaptive parameter adjustment.

Full-Line Collaborative Optimization

Coordinates equipment, materials, and process rhythm from a system-wide perspective, enabling cross-workstation collaborative optimization that overcomes the limitations of traditional single-point control, keeping the entire production line continuously operating at optimal conditions.

Experience Model Accumulation

Converts parameter tuning and control logic that have long relied on human expertise into standardized algorithm models, transforming veteran operator know-how into system capabilities that are replicable and continuously optimizable.

Application Scenarios

Intelligent autonomous control for complex industrial scenarios.

Intelligent Sorting Lines

Dynamically adjusts sorting strategies and equipment parameters based on material composition changes and real-time recognition results, improving sorting efficiency and resource utilization.

Conveying and Storage Coordination

Automatically optimizes conveying speed and operational rhythm based on bin level changes, cycle time fluctuations, and equipment status, reducing blockages, idle running, and waiting.

Multi-Equipment Collaborative Control

Achieves coordinated control of robotic arms, conveying equipment, sorting equipment, and other devices, improving overall line coordination efficiency and operational stability.

Unmanned Production Scenarios

Through real-time perception, intelligent decision-making, and automatic execution, the platform progressively reduces human intervention, supporting factory operations in transitioning toward reduced-manning, unmanned, and lights-out manufacturing.

Customer Value

From automation to industrial autonomy.

Enhanced Production Stability

Dynamically adjusts operational strategies based on on-site fluctuations, reducing instability caused by human intervention.

Reduced Labor Dependency

Converts experience-based control into algorithm-driven control, reducing reliance on manual expertise and on-site operators.

Improved Full-Line Coordination Efficiency

Overcomes the traditional single-equipment optimization model, achieving cross-workstation, multi-device collaborative coordination.

Enhanced Scalable Replication

Standardizes and models control capabilities for rapid replication across different production lines and factories.

Support for Lights-Out Factory Development

Builds an industrial control foundation for enterprises with autonomous operation, autonomous scheduling, and autonomous optimization.

Cloud-Edge Collaborative Industrial Intelligent Control System

Visual recognition devices, analytical instruments, sensors, bin level monitoring, equipment data collection terminals

NextPrism Tech Corporation Brain intelligent algorithm engine, rule engine, dynamic optimization models, strategy decision system

Edge control nodes, real-time data processing, strategy execution engine

Conveying equipment, sorting equipment, mechanical actuators, automation control units

Technical Specifications