Logistics support device, logistics support method, and storage medium
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Solution Overview
Problem
Temperature fluctuations in cold storage units during delivery operations can deviate from management rules, leading to increased workload and potential damage to stored articles, as existing countermeasures like using dry ice are labor-intensive.
Innovation Solution
A logistics support device and method that includes a deriver for processing environmental data and an instruction controller to output instructions based on statistics, ensuring the cold storage environment remains within set parameters by adjusting temperature settings before arrival at the delivery destination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If workers use artificial means such as spraying dry ice to limit temperature rise in cold storage units, then temperature control is improved, but work load increases
Solution Approach 1:
The system performs statistics processing on environmental information before delivery to predict temperature changes. Based on these predictions, the instruction controller outputs instructions in advance to adjust temperature settings, preventing temperature deviations before they occur rather than reacting after the fact.
Solution Approach 2:
The system continuously collects environmental information from sensors during transport and delivery, processes this data through statistics processing to identify patterns and predictions, and uses this feedback to automatically adjust temperature settings via the instruction controller, creating a closed-loop control system that reduces manual intervention.
2Productivity
If the cold storage unit door is opened for unloading work at delivery destination, then delivery operations are enabled, but temperature stability deteriorates
Solution Approach 1:
The system analyzes environmental information and predicts temperature changes that will occur when the door is opened for unloading. Based on these predictions, it outputs instructions in advance to adjust temperature settings or prepare countermeasures, mitigating the impact of door opening before it happens.
Solution Approach 2:
The system performs statistics processing to identify patterns of temperature deviation during unloading operations. It then outputs preventive instructions before unloading begins, such as adjusting temperature settings or preparing cooling measures, to counteract the expected temperature rise from door opening.
3Reliability
If statistics processing is performed on environmental information during delivery, then temperature deviation prevention is improved, but system complexity increases
Solution Approach 1:
The instruction controller serves multiple functions: it outputs instructions based on statistics processing results, adjusts temperature settings, and coordinates with the cold storage unit. This multi-functionality reduces the need for separate dedicated components for each function, thereby managing system complexity while maintaining reliability.
Data Source
AI summary
A logistics support device includes a deriver and an instruction controller. The deriver performs, when a storage configured to store an article is mounted in a moving body and stays in a work place at which work is performed on an article stored in the storage in a delivery business, statistics processing on environmental information on an environmental change inside the storage. The instruction controller outputs an instruction on the basis of a result of the statistics processing performed by the deriver when a storage configured to store an article is mounted in a moving body and a delivery of the article is performed.