The core objectives of this project are to replace the traditional modes of manual handling and forklift transportation. By deploying a latent jack-up AGV system, the factory will realize automated scheduling, precise positioning and visual management of material transportation; reduce the error rate of material transportation, improve handling efficiency and cut labor input; optimize the workshop operating environment and avoid risks including equipment collision and personal safety hazards during handling; build collaborative interfaces between the AGV system and the factory’s existing MES and WMS systems, break down data silos between logistics, production and warehousing, provide data support for the factory’s intelligent manufacturing management and control, and drive the upgrading of production logistics towards flexibility and intelligence.
The project implementation scope covers the factory’s raw material storage area, parts processing area, blower assembly area, finished product storage area, and the connection nodes between various production processes.
The core work includes the selection and deployment, path planning, system integration, and practical application of latent jack-up robots.
Throughout the project, the transportation solution is custom-designed based on the characteristics of materials used in blower production.
01
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Equipment Selection and Deployment
In terms of equipment selection and deployment, in consideration of the weight, dimensions and transportation scenarios of the factory’s blower components (including impellers, casings, bearings, etc.), latent jack-up AGVs adapted to heavy-duty industrial environments are selected.
Their rated load capacity matches the material specifications, and the jacking height meets the requirements of material storage pallets and workstations.
Equipped with laser SLAM autonomous navigation technology, the AGVs require no auxiliary markers such as magnetic tapes or QR codes. They can flexibly shuttle through narrow passages and turn around with zero turning radius, fitting the factory’s existing workshop layout without large-scale site reconstruction.
Based on the material handling frequency and transportation distance of each zone, the deployment quantity and parking positions of AGVs are scientifically planned. Charging stations are arranged at key nodes including the entrances and exits of the assembly area and storage areas, so as to ensure 24-hour uninterrupted operation of the AGVs.
02
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Path Planning and Dispatching System Construction
Path planning and dispatching system construction is a core segment of the project.
In light of the factory’s production process flow, workshop layout and material handling priorities, the optimal transportation routes are preset through the AGV dispatching system, covering the whole process of raw materials from the storage area to the processing area, semi-finished products from the processing area to the assembly area, and finished products from the assembly area to the storage area. The system supports dynamic route adjustment, and can automatically optimize handling routes in line with changes in production tempo, material urgency and obstacle conditions to avoid AGV congestion.
In the meantime, a visual management and control platform is established to monitor the AGV operation status, material handling progress, power level and fault information in real time, realizing the automatic assignment, scheduling, tracking and closed-loop management of transportation tasks, and ensuring that materials are delivered to designated workstations on time and as required.
03
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System Integration and Debugging
In the system integration and debugging phase, the key task is to achieve the seamless connection between the AGV system and the factory’s existing MES (Manufacturing Execution System) and WMS (Warehouse Management System). This enables real-time synchronization of production tasks, material information and inventory data, ensures the coordinated linkage between AGV transportation tasks and production plans, and fulfills the goal of "materials following orders and precise delivery".
After equipment installation and path calibration are completed, debugging is carried out in phases:
First,
single-machine no-load debugging is performed to verify the AGV’s navigation accuracy, jacking stability and obstacle avoidance performance.
Then,
single-machine load debugging is conducted to simulate actual material transportation scenarios and optimize the precision of jacking, handling and parking.
Finally,
multi-machine collaborative debugging is implemented to verify the collaborative efficiency of the dispatching system, identify all potential risks in equipment linkage, and ensure the stable and reliable overall operation of the system.
