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Research and Development & Manufacturing
Advanced technology
Focusing on AI + Intelligent Manufacturing, empowering smart manufacturing across the globe.
In the context of Industry 4.0 and the integration of intelligent manufacturing, Pangqi Technology has leveraged industrial big data, process strategies, and domain expertise to build a digital platform featuring compact industrial AI models, enabling fully automated, end-to-end operations. Pangqi’s self-developed intelligent software systems—including LDS, ADS, MOM, WMS, and WCS—have effectively addressed the longstanding issue of data silos in traditional manufacturing, streamlined business processes, and significantly enhanced both production-logistics collaboration efficiency and operational agility.
Pangqi Technology: Industrial AI Small Models + Integrated Unmanned Application Solutions
MES/MOM: Manufacturing Execution and Operations Management System
Smart Warehouse Management: Wave Picking & Dynamic Inventory
Designed for complex warehousing environments handling multiple SKUs, numerous batches, and diverse shippers, this solution offers intelligent management across the entire process—including inbound logistics, outbound shipping, picking, replenishment, and inventory counting. It seamlessly integrates with systems like ERP, MES, and WCS, connecting and optimizing upstream and downstream supply chain processes.
LDS Produces Collaborative Autonomous Tug System
Precision Pulling, Flexible Flow, and All-Scenario Adaptability
Centered around "Kanban Logic + Workstation Prediction + Task Hub," this solution enables intelligent material pulling and rhythmic allocation within the workshop. It supports unified task scheduling for various equipment types, including AGVs and AMRs, while leveraging AI algorithms to dynamically adjust task priorities and optimize path selection in real time—driving high-paced, low-fluctuation, and highly flexible production-line operations.
ADS Multi-Brand Robot Hybrid Scheduling System
Heterogeneous Collaboration, Real-Time Scheduling, Centralized Management
Break down barriers between robots of different brands and models, enabling unified task management, path planning, and collision avoidance for heterogeneous robots (such as AGVs, AMRs, OHTs, etc.). Equipped with a multi-robot scheduling engine, it supports high-density map modeling, cross-regional dispatching, and seamless coordination across multiple warehouses.
Full-stack Capabilities of the Unmanned Factory
AI Small Models Integrated with Industrial Data
- Building scenario-specific, lightweight industrial small models that enable edge-device operation and real-time responses, providing core support for applications such as flexible manufacturing, fault prediction, and quality inspection.
Multi-AGV Adaptive Cluster Scheduling
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In-depth research into multi-AGV dynamic scheduling algorithms and real-time path optimization, aiming to maximize the operational efficiency of robotic teams while minimizing path overlaps.
Intelligent Energy Scheduling and Edge Optimization
Integrating data flows from photovoltaic, energy storage, and charging systems, we are developing an AI-based energy consumption prediction model and a dynamic scheduling system to enhance enterprise energy efficiency and accelerate the development of green, low-carbon factories.
Industrial Semantic Graph and Data Integration
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Break down data silos across devices, systems, processes, and personnel, build semantic labels and knowledge graphs, and enable the local application of industrial large-model reasoning and prediction capabilities within logistics systems.
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