Telemetry-Based Productivity Tracking for Construction Equipment
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Solution Overview
Problem
Managing productivity at large-scale worksites, such as mining and construction operations, is complex due to various influencing factors, and existing methods for tracking productivity are costly and inefficient, making it difficult to determine which factors to address for improvement.
Innovation Solution
A control system that utilizes telemetry modules to generate operational data signals, which are processed by a controller to create a data model, identify operational zones, determine work cycles, and calculate productivity data, allowing for effective management and control of machines on the worksite.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advanced analytics modules with sensors are used to track productivity, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent extracts the essential productivity tracking function from complex sensor systems and implements it using existing telematics data already collected by machines. Instead of adding new sensors and analytics modules, the system extracts useful information from operational data, fuel consumption records, and location data that machines already generate during normal operation.
Solution Approach 2:
The system creates a virtual model of productivity metrics by processing and analyzing copies of existing telematics data. Rather than directly measuring productivity with specialized sensors, the system generates productivity information by processing copies of operational parameters, fuel usage data, and machine location information that are already being collected.
2Measurement precision
If multiple parameters are collected through sensors to track productivity, then measurement precision is improved, but loss of energy increases
Solution Approach 1:
The system leverages data that machines generate autonomously during their normal operation. Telematics modules on machines automatically collect operational data, fuel consumption information, and location data as part of their standard function, eliminating the need for additional energy-consuming sensors and measurement systems.
Solution Approach 2:
The system recovers valuable productivity information from operational data that would otherwise be discarded or underutilized. By processing existing telematics data including operational parameters and fuel consumption records, the system extracts meaningful productivity metrics without requiring additional energy-intensive measurement systems.
3Productivity
If comprehensive productivity tracking is implemented, then productivity measurement is improved, but device complexity increases
Solution Approach 1:
The system uses multi-functional telematics modules that already serve multiple purposes including machine monitoring, fuel management, and location tracking. By leveraging these existing multi-functional systems, the patent achieves comprehensive productivity tracking without adding dedicated specialized equipment, thereby avoiding increased device complexity.
Solution Approach 2:
The patent merges productivity tracking functionality with existing telematics and fleet management systems. Instead of implementing a separate dedicated productivity measurement system, the invention combines productivity analysis with operational data collection, fuel management, and machine monitoring functions that are already integrated in modern construction equipment.
Data Source
AI summary
A control system for a machine operating on a worksite includes a telemetry module associated with the machine. The telemetry module generates signals indicative of operational data of the machine. A controller communicably coupled to the telemetry module receives the signals indicative of the operational data from the telemetry module. The controller processes the received signals to create a data model. The controller identifies multiple operational zones over the worksite based at least on an analysis of the created data model. The controller determines occurrence of work cycles of the machine over the worksite based at least on the identified operational zones. The controller determines productivity data of the worksite based at least on the identified work cycles. The controller controls the machine based on the determined productivity data.