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Intelligent Logger - Τ1ΕΔΚ-01359

Integrated Cost Tracking and Fleet Management System for Heterogeneous Fleet of Heavy-Duty Vehicles Using Automated Data Collection Processes and Intelligent Prediction Techniques

Intelligent Logger - Τ1ΕΔΚ-01359

Integrated Cost Tracking and Fleet Management System for Heterogeneous Fleet of Heavy-Duty Vehicles Using Automated Data Collection Processes and Intelligent Prediction Techniques

epanek-logo

Intelligent Logger - Τ1ΕΔΚ-01359

Integrated Cost Tracking and Fleet Management System for Heterogeneous Fleet of Heavy-Duty Vehicles Using Automated Data Collection Processes and Intelligent Prediction Techniques

Intelligent Logger - Τ1ΕΔΚ-01359

Integrated Cost Tracking and Fleet Management System for Heterogeneous Fleet of Heavy-Duty Vehicles Using Automated Data Collection Processes and Intelligent Prediction Techniques

The project is a funded research project, co-financed by Greece and the European Union. It was completed in 2022 and involved: THETAMETRISIS, University of West Attica, Eurarco, and Seven Red Lines.

The purpose of the project is to design and implement a comprehensive system that holistically addresses one of the most important and complex issues for every construction company, that of the daily management of the company's fleet of vehicles and construction machinery. The problem is extremely complex due to the variety of fleet vehicles due to their different types, their age/performance relationship, and their very large number (hundreds of vehicles).


Fleet management covers a wide range of different actions:

1. Costing and budgeting according to the specific tasks and the volume/type of fleet vehicles used in them.

2. Action planning processes such as managing fuel, lubricants and consumables consumption, maintenance scheduling and prediction - damage repair which usually incur significant additional costs for the company as well as delays in construction work.

3. Decision making in a business environment regarding the maintenance/replacement percentage of worn-out machinery or financial leasing.


For a construction company to successfully manage its fleet, a highly complex, usually bureaucratic, process is required, involving data collection in specific databases and the use of specialized application software that is preferable to have embedded advanced, intelligent data processing and useful information extraction techniques.


Current applications address the management problem in a dual manner, that is, they use a first system for data input and a second one for data analysis, however, without providing automation in data collection and integration of different tools in a connected and integrated software environment.


The Intelligent Logger project proposes the development of a comprehensive system (hardware and software) for monitoring the functional costing and maintenance of a construction company's fleet that includes a wide range of fleet vehicles. The goal is the automated and reliable recording of data on the operating parameters of vehicles and machinery and the extraction of conclusions about their 'health' and, by extension, about maintenance or prediction of damage. The system will be flexible and capable of being applied to any vehicle or machine, regardless of its type and intended use, thus offering a comprehensive solution for fleet vehicle management.


The purpose of the project is part of the broader framework of the industries of the future (Industry 4.0) and, more specifically, in the thematic area 8.5.4 'Smart technologies and strategies for extending the operational lifetime of production systems,' while also addressing issues of the Internet of Things.

Intelligent Logger - Τ1ΕΔΚ-01359

Integrated Cost Tracking and Fleet Management System for Heterogeneous Fleet of Heavy-Duty Vehicles Using Automated Data Collection Processes and Intelligent Prediction Techniques

The project is a funded research project, co-financed by Greece and the European Union. It was completed in 2022 and involved: THETAMETRISIS, University of West Attica, Eurarco, and Seven Red Lines.

The purpose of the project is to design and implement a comprehensive system that holistically addresses one of the most important and complex issues for every construction company, that of the daily management of the company's fleet of vehicles and construction machinery. The problem is extremely complex due to the variety of fleet vehicles due to their different types, their age/performance relationship, and their very large number (hundreds of vehicles).


Fleet management covers a wide range of different actions:

1. Costing and budgeting according to the specific tasks and the volume/type of fleet vehicles used in them.

2. Action planning processes such as managing fuel, lubricants and consumables consumption, maintenance scheduling and prediction - damage repair which usually incur significant additional costs for the company as well as delays in construction work.

3. Decision making in a business environment regarding the maintenance/replacement percentage of worn-out machinery or financial leasing.


For a construction company to successfully manage its fleet, a highly complex, usually bureaucratic, process is required, involving data collection in specific databases and the use of specialized application software that is preferable to have embedded advanced, intelligent data processing and useful information extraction techniques.


Current applications address the management problem in a dual manner, that is, they use a first system for data input and a second one for data analysis, however, without providing automation in data collection and integration of different tools in a connected and integrated software environment.


The Intelligent Logger project proposes the development of a comprehensive system (hardware and software) for monitoring the functional costing and maintenance of a construction company's fleet that includes a wide range of fleet vehicles. The goal is the automated and reliable recording of data on the operating parameters of vehicles and machinery and the extraction of conclusions about their 'health' and, by extension, about maintenance or prediction of damage. The system will be flexible and capable of being applied to any vehicle or machine, regardless of its type and intended use, thus offering a comprehensive solution for fleet vehicle management.


The purpose of the project is part of the broader framework of the industries of the future (Industry 4.0) and, more specifically, in the thematic area 8.5.4 'Smart technologies and strategies for extending the operational lifetime of production systems,' while also addressing issues of the Internet of Things.

Intelligent Logger - Τ1ΕΔΚ-01359

Integrated Cost Tracking and Fleet Management System for Heterogeneous Fleet of Heavy-Duty Vehicles Using Automated Data Collection Processes and Intelligent Prediction Techniques

The project is a funded research project, co-financed by Greece and the European Union. It was completed in 2022 and involved: THETAMETRISIS, University of West Attica, Eurarco, and Seven Red Lines.

The purpose of the project is to design and implement a comprehensive system that holistically addresses one of the most important and complex issues for every construction company, that of the daily management of the company's fleet of vehicles and construction machinery. The problem is extremely complex due to the variety of fleet vehicles due to their different types, their age/performance relationship, and their very large number (hundreds of vehicles).


Fleet management covers a wide range of different actions:

1. Costing and budgeting according to the specific tasks and the volume/type of fleet vehicles used in them.

2. Action planning processes such as managing fuel, lubricants and consumables consumption, maintenance scheduling and prediction - damage repair which usually incur significant additional costs for the company as well as delays in construction work.

3. Decision making in a business environment regarding the maintenance/replacement percentage of worn-out machinery or financial leasing.


For a construction company to successfully manage its fleet, a highly complex, usually bureaucratic, process is required, involving data collection in specific databases and the use of specialized application software that is preferable to have embedded advanced, intelligent data processing and useful information extraction techniques.


Current applications address the management problem in a dual manner, that is, they use a first system for data input and a second one for data analysis, however, without providing automation in data collection and integration of different tools in a connected and integrated software environment.


The Intelligent Logger project proposes the development of a comprehensive system (hardware and software) for monitoring the functional costing and maintenance of a construction company's fleet that includes a wide range of fleet vehicles. The goal is the automated and reliable recording of data on the operating parameters of vehicles and machinery and the extraction of conclusions about their 'health' and, by extension, about maintenance or prediction of damage. The system will be flexible and capable of being applied to any vehicle or machine, regardless of its type and intended use, thus offering a comprehensive solution for fleet vehicle management.


The purpose of the project is part of the broader framework of the industries of the future (Industry 4.0) and, more specifically, in the thematic area 8.5.4 'Smart technologies and strategies for extending the operational lifetime of production systems,' while also addressing issues of the Internet of Things.