Central Control Computer for Transport Routing Using Environmental Data
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Solution Overview
Problem
Current transportation systems lack integration of environmental data to optimize transport processes, leading to inefficiencies and increased environmental impact, particularly in terms of emissions and resource usage.
Innovation Solution
A method and system that utilize sensors to measure environmental data, which are then used by a central control computer to influence transport decisions, such as choosing alternative fuels or vehicles that meet specific emission criteria, and calculate environmental costs, enabling more sustainable transport options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If environmental data integration is implemented in transportation systems, then environmental impact is reduced and sustainability is improved, but system complexity and infrastructure requirements increase
Solution Approach 1:
A central control computer serves as an intermediary that receives environmental data from multiple sensors, processes this information, and generates routing decisions. This mediator coordinates between the sensors, transport means, and routing system, managing the complexity centrally rather than distributing it across the entire transportation network.
Solution Approach 2:
The central control computer performs multiple functions: it collects environmental data from sensors, processes routing decisions based on environmental criteria, influences transport means selection, and calculates environmental costs. This multi-functional approach consolidates complexity into a single system that handles various tasks related to environmental optimization.
2Measurement precision
If sensors and environmental data collection are added to monitor transport processes, then environmental performance measurement is improved, but infrastructure cost and system complexity increase
Solution Approach 1:
The central control computer acts as an intermediary that receives environmental data from multiple sensors, processes this information, and generates routing decisions. This mediator coordinates between the sensors, transport means, and routing system, managing the complexity centrally rather than distributing it across the entire transportation network.
3Adaptability or versatility
If transport routing decisions are influenced by environmental criteria, then sustainability is improved, but calculation complexity and data processing requirements increase
Solution Approach 1:
The central control computer performs multiple functions: it collects environmental data from sensors, processes routing decisions based on environmental criteria, influences transport means selection, and calculates environmental costs. This multi-functional approach consolidates complexity into a single system that handles various tasks related to environmental optimization.
Solution Approach 2:
The system continuously receives environmental data from sensors during transport operations, processes this feedback information through the central control computer, and adjusts routing decisions accordingly. This closed-loop feedback mechanism enables real-time optimization of transport routes based on actual environmental conditions and performance.
Data Source
AI summary
The invention relates to a method for transporting physical objects, wherein at least one physical object is transported from a sending station to a receiving station, wherein the transport occurs through at least one physical router, wherein the physical router executes a decision about further parameters of transport to another physical router or to the receiving station. The method is carried out in that a central control computer receives information for handling and moving the physical objects and that the central control computer influences supplies for transport means and/or the transport means according to environmental data.