SynCore

The Industrial Intelligent Control Engine Driving 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 designed for industrial scenarios. By building a real-time closed loop of “Perception - Decision - Execution,” it drives the upgrade of factories from traditional automation to intelligent autonomous operation.

Product Introduction

SynCore is designed as the neural system for intelligent industrial control at industrial sites, forming the core control foundation for unmanned factory operations and lights-out manufacturing.

The platform collects real-time operating data through perception nodes including visual recognition, material analysis, and equipment-status collection. Combined with the “JONO Brain” intelligent algorithm engine, it analyzes full-line data, optimizes strategies dynamically, and sends precise control commands to each execution unit, enabling equipment coordination, adaptive parameter adjustment, and closed-loop process control.

Compared to traditional PLC fixed-logic control mode, SynCore achieves an upgrade from “preset logic control” to “data-driven autonomous control,” giving production systems stronger real-time response capabilities, collaborative optimization capabilities, and complex scenario adaptability.

Key Advantages

Building a real-time “Perception - Decision - Execution” closed loop at 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 operating status, material changes, and key process parameters, providing a real-time data foundation for intelligent control.

Agent-Driven Decision Making

Based on the “JONO Brain” intelligent algorithm engine, the platform continuously analyzes on-site data, performs dynamic modeling and strategy optimization, and automatically generates control strategies according to production conditions for autonomous operation in complex scenarios.

Edge Real-Time Execution

Leveraging an edge computing architecture, data processing, strategy response, and control command issuance are completed at the industrial site, ensuring high real-time performance and stable operation, achieving equipment coordination and adaptive parameter adjustment.

Full-Line Collaborative Optimization

Coordinates equipment, materials, and process rhythms from a global perspective, achieving cross-section collaborative optimization, breaking through traditional single-point control limitations, and keeping the entire production line continuously operating at a better state.

Experience Model Accumulation

Transforms control and tuning logic that has long relied on manual experience into standardized algorithm models, turning “master craftsman experience” into replicable and continuously optimizable system capabilities.

Application Scenarios

Intelligent Autonomous Control for Complex Industrial Scenarios

Intelligent Sorting Production Lines

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

Conveying and Storage Coordination

Automatically optimizes conveying speed and operation rhythm based on bin level changes, pace fluctuations, and equipment status, reducing material jams, idle running, and waiting.

Multi-Device Collaborative Control

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

Unmanned Production Scenarios

Through real-time perception, intelligent decision-making, and automatic execution, continuously reduces manual intervention, supporting factory upgrades toward reduced-manning, unmanned, and lights-out operation.

Customer Value

From “Automation” to “Industrial Autonomy”

Enhanced Production Stability

Dynamically adjusts operation strategies based on on-site fluctuations, reducing instability factors caused by manual intervention.

Reduced Labor Dependency

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

Improved Full-Line Collaboration Efficiency

Breaks through traditional single-equipment optimization mode to achieve cross-section, multi-device coordinated collaboration.

Enhanced Scalable Replication Capability

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

Supporting Lights-Out Factory Construction

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

Cloud-Edge Collaborative Industrial Intelligent Control System

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

JONO 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