3D Warehouse IoT Control for Accurate Stacker Dispatch
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Solution Overview
Problem
Intelligent three-dimensional warehouses face challenges with complex systems, high costs, and errors in data management and control of automatic stackers due to large data volumes and inefficient data processing, leading to incorrect goods placement and operational inefficiencies.
Innovation Solution
An industrial Internet of Things system with a five-platform structure, including user, service, management, sensor network, and object platforms, facilitates efficient data management and control by using independent and front-sub-platform arrangements to process and transmit data accurately, reducing construction costs and improving operational efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a larger number of automatic stackers are deployed to handle goods in large three-dimensional warehouses, then goods picking and placing capability is improved, but system complexity and data processing requirements increase significantly
Solution Approach 1:
The system divides the large three-dimensional warehouse into multiple shelf areas, with each area managed by a dedicated sub-platform. This segmentation allows independent management and control of different regions, reducing the complexity burden on the central management platform while maintaining high goods handling capability across the entire warehouse.
Solution Approach 2:
The patent introduces a hierarchical platform architecture with multiple levels (management platform, sub-platforms, object platform) to manage the complexity of controlling numerous stackers. This dimensional organization transforms the flat complex control structure into a layered system, where each level handles specific tasks, thereby improving productivity without proportionally increasing overall system complexity.
2Productivity
If more automatic stackers are used to serve multiple areas, then goods handling efficiency is improved, but data processing accuracy deteriorates due to extremely large instantaneous data volumes
Solution Approach 1:
The data processing system is segmented into multiple sub-platforms, each responsible for a specific shelf area. This distribution of data processing tasks across multiple independent sub-platforms reduces the instantaneous data volume burden on any single processing unit, thereby maintaining data processing accuracy while supporting high goods handling efficiency through parallel processing.
Solution Approach 2:
Sub-platforms act as intermediaries between the management platform and individual stackers or sensor networks. These intermediary sub-platforms pre-process and filter data locally before transmitting to the management platform, reducing the overall data transmission burden and improving data processing accuracy by handling data closer to its source.
3Ease of operation
If a centralized system is used to manage all automatic stackers, then control capability is improved, but construction cost increases due to larger data storage and processing systems required
Solution Approach 1:
The centralized control system is segmented into a hierarchical structure with a management platform and multiple sub-platforms. Each sub-platform handles data processing and control for its designated shelf area, distributing the computational and storage burden. This segmentation maintains comprehensive control capability while significantly reducing the规模和cost of data storage and processing infrastructure compared to a fully centralized system.
Solution Approach 2:
The patent transforms the traditional flat centralized control architecture into a multi-dimensional hierarchical structure. This dimensional change allows control functions to be distributed across multiple levels and nodes, maintaining centralized coordination capability while reducing the concentration of resources needed at any single point, thereby lowering overall construction costs.
Data Source
AI summary
The present disclosure provides an industrial Internet of Things comprising a user platform, a service platform, and a management platform, wherein the management platform is configured to perform the following operations including: in response to receiving a second instruction from the service platform, determining whether a moving force of an automatic stacker satisfies the execution condition, the second instruction is determined by the service platform based on a first instruction sent by the user platform, and the first instruction includes a goods retrieval instruction; controlling the automatic stacker to execute a pick-and-place operation in response to the moving force of the automatic stacker satisfying the execution condition; and in response to the automatic stacker completing the pick-and-place operation, determining a target standby position and controlling the automatic stacker to move to the target standby position.