Assessing Real Time GPS Asset Tracking for Timber Haulage

Devlin, Ger; McDonnell, Kevin

doi:10.2174/1874447800903010078

Cited by 11 publications

(9 citation statements)

References 5 publications

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“…The transportation of wood raw material is one of the key operations in forest management, representing a large share of total costs, and has significant potential for optimization [34][35][36]. A good diagnosis of the configuration of timber truck units, their own weight and their potential timber cargoes, given the large variation in cargo weight, can contribute to improving the efficiency of forest transport [5,9].…”

Section: Introductionmentioning

confidence: 99%

Total Weight and Axle Loads of Truck Units in the Transport of Timber Depending on the Timber Cargo

Trzciński

Moskalik

Wojtan

2018

Forests

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When transporting timber, the high variability of species, assortments and moisture content of the wood raw material does not allow the weight of the transported timber to be precisely determined. This often contributes to the excessive weight loading of the entire truck unit. The aim of the research is to present the variability of the total weight of truck units with wood cargoes (GVW-gross vehicle weight) depending on the weight of the empty unit and the transported timber load, as well as to analyze the changes in GVW, unit loads of wood and load on individual truck unit axles depending on the season. This study analyzes the total weight of truck units for 376 transports of Scots pine timber at different times of the year. The total weight of the truck units depends on the weight of an empty unit and the weight of the load. GVW was determined by using a weighbridge to weigh the vehicles and then the empty unit after unloading. The weight of the load was obtained as the difference between GVW and the tare. It was found that GVW differed significantly depending on the truck unit used, ranging from 43.60-58.80 Mg, often exceeding permissible limits for public roads. The individual axle loads for various truck units were also analyzed. The obtained results indicate that these loads are more equally distributed in the case of five-axle trucks compared to six-axle ones.

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Section: Introductionmentioning

confidence: 99%

Total Weight and Axle Loads of Truck Units in the Transport of Timber Depending on the Timber Cargo

Trzciński

Moskalik

Wojtan

2018

Forests

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“…Automatic operational time study based on the installation of GNSS on machineries that operate in forest are also quite common. This methodology is mainly applied for the tracking of the movements of the machineries for felling and skidding operations in forest (Taylor et al, 2006;Cordero R., et al, 2005;McDonald and Fulton 2005McDonald 1999) and for tracking the trucks for timber haulage (Simwanda et al, 2011;Devlin and McDonnell, 2009;Devlin et al, 2008;Sikanen et al, 2005). Only a document on the use of GPS for the analysis of tower yarder was found (Nitami et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

GNSS-based operational monitoring devices for forest logging operation chains

Gallo¹,

Grigolato²,

Cavalli³

et al. 2013

J Agricult Engineer

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The first results of a new approach for implementing operational monitoring tool to control the performance of forest mechanisation chains are proposed and discussed. The solution is based on Global Navigation Satellite System (GNSS) tools that are the core of a datalogging system that, in combination with a specific inference-engine, is able to analyse process times, work distances, forward speeds, vehicle tracking and number of working cycles in forest operations. As a consequence the operational monitoring control methods could provide an evaluation of the efficiency of the investigated forest operations.The study has monitored the performance of a tower yarder with crane and processor-head, during logging operations. The field surveys consisted on the installation of the GNSS device directly on the forest equipment for monitoring its movements. Simultaneously the field survey considered the integration of the GNSS information with a time study of work elements based on the continuous time methods supported by a time study board. Additionally, where possible, the onboard computer of the forest machine was also used in order to obtain additional information to be integrated to the GNSS data and the time study. All the recorded GNSS data integrated with the work elements study were thus post-processed through GIS analysis.The preliminary overview about the application of this approach on harvesting operations has permitted to assess a good feasibility of the use of GNSS in the relief of operative times in high mechanised forest chains. Results showed an easy and complete identification of the different operative cycles and elementary operations phases, with a maximum difference between the two methodologies of 10.32%. The use of GNSS installed on forest equipment, integrated with the inferenceengine and also with an interface for data communication or data storage, will permit an automatic or semi-automatic operational monitoring, improving the quantity of data and reducing the engagement of the surveyor.

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“…Analyses of timber transport research, omitting studies on the forest biomass supply chain (sawdust, wood shavings, wood chips, etc. ), concerns actual data specific to a given region [11,12,16,18,19,21,26,[28][29][30], tree species and their origin, the assortments of transported timber [12,13,22,[25][26][27][28], the types of transport used [10][11][12]15,16,19,21] or legal regulations (total permissible mass of the DCM unit) and costs [3,7,8,12,13,[16][17][18]20,34,38]. A good diagnosis of the configuration of timber truck units, their own mass and their potential timber cargoes, given the large variation in cargo weight, can contribute to improving the efficiency of forest transport [16,14].…”

Section: Discussionmentioning

confidence: 99%

“…One of the challenges of economic forest management was, and still is, the task of transporting timber from the forest to the processing site. It has already been pointed out that this activity is among the basic activities of forest management, as it significantly impacts the costs of timber harvesting, but it also enables the search for the most optimal solutions [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Multi-Factorial Load Analysis of Pine Sawlogs in Transport to Sawmill

Tymendorf

Trzciński

2020

Forests

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This study analyzed the variability of truckloads of large-sized pine logs transported to a furniture manufacturing mill, depending on the origin of the timber, delivery period, length of the transported logs, volume of the load and its mass. It was assumed that the volume and mass of the transported timber load depends on the season of the year and the origin of the timber, which has a significant impact on the mass of one cubic meter of the load. The analysis of the wood origin parameters (location of its growth) took into account the type of forest habitat, soil type and stand abundance. The characteristics of the tree parameters from which the roundwood was obtained took into account age, diameter at breast height (DBH) and height of the stand. The origin of the timber was determined for 1063 timber loads from 40 forest districts transported over a 12 month period. We obtained an average timber load volume of 29.34 m3 which includes single shipments differing significantly in their volume of between 24.21 and 36.51 m3. The origin of the timber, habitat conditions and stand parameters of the harvesting site influence load mass and the mass of 1 m3 of load. The delivery date has an impact on the studied elements of the sawlogs load, with two similar periods—spring and summer. The volume of the transported timber is already at a stabilized level in accordance with legal regulations, which is no longer dependent on other factors and only on the accepted conversion factors for roundwood density and the mass of the empty vehicle set. This has not influenced a reduction in the mass of the transported timber.

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Assessing Real Time GPS Asset Tracking for Timber Haulage

Cited by 11 publications

References 5 publications

Total Weight and Axle Loads of Truck Units in the Transport of Timber Depending on the Timber Cargo

Total Weight and Axle Loads of Truck Units in the Transport of Timber Depending on the Timber Cargo

GNSS-based operational monitoring devices for forest logging operation chains

Multi-Factorial Load Analysis of Pine Sawlogs in Transport to Sawmill

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