Worksite Fluid Delivery Control System for Dust Suppression
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Solution Overview
Problem
Existing dust control systems for worksites, such as those in mining and construction, are limited in considering factors beyond specific dust levels at designated locations and do not effectively coordinate the dispatching of dust control machines, nor do they determine optimal water application amounts.
Innovation Solution
A system and method for controlling fluid delivery on a worksite using a computing system that identifies paths based on site maps, calculates fluid delivery requirements from environmental and usage data, and dispatches fluid delivery machines with precise mission instructions for fluid allocation along those paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If dust control systems only monitor dust levels at specific locations and dispatch machines based on threshold exceedance, then the system is simple to operate, but it fails to consider other relevant factors and does not determine optimal water application amounts
Solution Approach 1:
The worksite is divided into multiple paths or zones, each with its own dust control requirements. The system segments the monitoring and control functions across different locations and factors, allowing comprehensive analysis while maintaining manageable operational complexity through modular path-based management
Solution Approach 2:
The system performs preliminary calculations of fluid delivery requirements based on environmental information, path characteristics, and dust conditions before dispatching machines. This advance planning optimizes water application amounts and routes, preventing dust issues rather than just reacting to them
2Object-affected harmful factors
If the system dispatches mobile dust control machines to treat dust conditions, then dust levels can be controlled, but coordination and planning of machine dispatching is insufficient
Solution Approach 1:
The system continuously monitors dust levels, environmental conditions, and machine locations, using this feedback to dynamically adjust dispatch decisions. Real-time data from dust monitors and environmental sensors feeds back to the controller to optimize machine deployment and water application rates
Solution Approach 2:
A centralized controller acts as an intermediary between dust monitors, environmental sensors, and mobile dust control machines. This intermediary coordinates machine dispatching, allocates water resources, and optimizes treatment strategies across the entire worksite, reducing direct coordination complexity between individual machines
3Manufacturing precision
If more comprehensive environmental and usage information is collected and analyzed, then optimal fluid delivery can be calculated, but the system complexity and data processing requirements increase
Solution Approach 1:
The controller performs multiple functions: it monitors dust levels, processes environmental data, calculates fluid delivery requirements, determines optimal routes, and dispatches machines. This multi-functionality consolidates complex data processing and control tasks into a single system, achieving precision without proportionally increasing overall system complexity
Solution Approach 2:
The system dynamically adjusts multiple parameters including water application rates, machine speeds, and route selections based on real-time environmental conditions and dust levels. By changing these parameters optimally, the system achieves precise fluid delivery while managing complexity through adaptive rather than static control
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances dust control by optimizing fluid delivery routes and amounts, improving site efficiency, reducing maintenance needs, and ensuring better safety and comfort for personnel by addressing dust issues more comprehensively and effectively.
Implementation Method 1
spraying water at the location
Data Source
AI summary
Systems and methods for controlling fluid delivery on a site using at least one fluid delivery machine are disclosed. An exemplary such method includes identifying at least one path on the site based on map information associated with the site, calculating a fluid delivery requirement of the at least one path based on environmental information associated with the site, and dispatching a fluid delivery machine on a mission to treat the at least one path with fluid based on the fluid delivery requirement.