Automatic Oiling Planning for Long-Distance Cargo Vehicles
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Solution Overview
Problem
Long-distance transport vehicles face challenges in effectively planning their oil mass, leading to potential delays due to insufficient oil levels, which can impact cargo weight and transport efficiency.
Innovation Solution
A method and system for automatic oiling, utilizing a transport planning system to generate a plan based on vehicle status, mission, and highway port information, which includes specific ports to stop at, cargo quantities, and oil masses to be filled, allowing the vehicle to autonomously load and refuel accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the amount of loaded oil in the oil tank is in the full-load state when the vehicle starts, then the vehicle has sufficient oil for emergency situations, but the cargo weight is obviously reduced
Solution Approach 1:
The transport planning system pre-calculates the optimal oil loading amount before the vehicle departs, based on the transport mission information and route characteristics. This preliminary planning allows the vehicle to carry exactly the right amount of oil needed for the specific task, avoiding both over-loading (which reduces cargo capacity) and under-loading (which risks insufficient oil for emergencies). The system determines the precise oil quantity in advance, enabling optimal weight distribution between cargo and fuel.
Solution Approach 2:
The system dynamically adjusts the oil loading amount based on varying transport conditions such as route distance, terrain, cargo weight, and vehicle type. Rather than using a fixed full-load approach, the oil quantity is adaptively determined according to the specific transport mission requirements. This dynamic adjustment allows the vehicle to optimize its cargo-to-fuel weight ratio for each particular task while ensuring sufficient oil reserves for emergency situations.
2Weight of moving object
If the amount of loaded oil is reduced in order to increase the cargo weight, then the cargo weight is increased, but the amount of loaded oil may be not enough when an emergency occurs, which results in the delay of transport progress
Solution Approach 1:
The transport planning system incorporates feedback mechanisms that consider the vehicle's oil consumption characteristics and route requirements to determine the optimal oil loading amount. The system uses the obtained vehicle status information, transport mission information, and highway port information to calculate the precise oil quantity needed, providing feedback that ensures both maximum cargo weight and sufficient oil reserves for emergencies. This feedback loop prevents both over-loading and under-loading of oil.
Solution Approach 2:
The system changes the parameter of oil loading amount from a fixed full-load state to a dynamically optimized value based on transport mission requirements. By adjusting this parameter according to route distance, cargo weight, and vehicle characteristics, the system achieves the optimal balance between cargo weight and oil reserves, ensuring that the vehicle carries the maximum possible cargo while maintaining sufficient oil for emergency situations.
3Device complexity
If manual planning of oil mass is used, then the system is simple, but the transport efficiency is reduced due to insufficient oil levels and potential delays
Solution Approach 1:
The transport planning system automatically determines the optimal oil loading amount without requiring manual intervention. The system uses the obtained vehicle status information, transport mission information, and highway port information to self-calculate and generate the transport plan including the precise oil quantity. This automated self-service approach eliminates manual planning while ensuring optimal oil levels for maximum transport efficiency, preventing delays due to insufficient oil.
Solution Approach 2:
The system replaces manual mechanical planning with an automated information processing system. Instead of relying on manual calculation and decision-making, the transport planning system uses computational algorithms to automatically determine the optimal oil loading amount based on the obtained information. This substitution of manual mechanics with automated information processing significantly improves transport efficiency while maintaining system simplicity through software-based solutions.
Data Source
AI summary
The present application discloses a method, device and system for automatic oiling of a long-distance transport vehicle. The method provided by the present application includes: obtaining, by a transport planning system at a network side, vehicle status information, transport mission information and highway port information of the vehicle before the long-distance transport vehicle starts from a highway port of departure; generating a transport plan according to the vehicle status information, the transport mission information and the highway port information, wherein the transport plan comprises at least one highway port to be stopped at, cargo quantity to be loaded at each highway port to be stopped at and oil mass to be filled at each highway port to be stopped at; and sending the transport plan to the vehicle.