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. 2022 Feb 16;12(1):2612.
doi: 10.1038/s41598-022-06534-8.

Towards a software architecture to manage occupational safety at grain handling and storage facilities

Sabrina Dalla Corte Bellochio  1 , Paulo Carteri Coradi  2   3 , Vinícius Maran  4 , Marcos Alves Dos Santos  5 , Luan Willig Silveira  4 , Paulo Eduardo Teodoro  6
Affiliations

Towards a software architecture to manage occupational safety at grain handling and storage facilities

Sabrina Dalla Corte Bellochio et al. Sci Rep. .

Abstract

The study had as objective to evaluate occupational hazards on grain storage unit to define a conceptual model, implemented in an algorithm to manage the grains storage facilities safety standards compliance. Sampling points location were defined for static quantification of noise, dust and heat stress hazards in grains pre-processing operations to indicate the effectiveness of the control measures implemented. Safety standards applied to grain handling and storage facilities were identified and selected. Chart flows were elaborated to the algorithm logics and conceptual modeling. The highest level of noise was present in the grain cleaning operation (99.1 dB), while the expedition operation has the highest level of dust (20.27%). The heat stress was present in the grain drying operation (43.64 WBGT). Noise analysis did not show a difference between grains, only between operations. The flow of corn grain mass caused higher dust concentrations in the expedition operation. The method applied to characterize and quantify the hazards in grain storage units was satisfactory, and it is recommended as standard, for use in corn and soybean grains handling and storage units. The algorithm to manage occupational safety at storage facilities collaborates to monitor the safety compliance on postharvest operations.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Representation of the grains unloading and cleaning area (A), representation grains expedition area (B).
Figure 2
Figure 2
Representation of noise data collection points (A), noise collection points in top view of the grain receiving and cleaning area (B), noise colorimetric scale (C), representation of dust data collection points (D), representation of heat stress data collection points (E).
Figure 3
Figure 3
Chart flow to algorithm development on rural company safety management (A), chart flow to algorithm development on rural company safety structure (B), chart flow to algorithm development on safety at confined space (C), chart flow to algorithm development on safety at machinery and equipment (D), chart flow to algorithm development on safety at work at height (E), chart flow to algorithm development on noise measurement (F), chart flow to algorithm development on dust measurement (G), chart flow to algorithm development on heat stress measurement (H).
Figure 4
Figure 4
Algorithm development screens set.
Figure 5
Figure 5
Noise level measurement on Upper Confidence Limit (UCL), average and Lower Confidence Limit (LCL) at corn unloading (A), corn cleaning with one machine (B) operation, corn cleaning with two machines (C) operation, corn expedition (D) and soybean expedition (E).
Figure 6
Figure 6
Noise level map measurement results at grain unloading and cleaning area with one machine (A) operation and two machines operation (B).
Figure 7
Figure 7
Total dust measurement on Upper Confidence Limit (UCL), average and Lower Confidence Limit (LCL) at corn unloading (A), corn cleaning (B) operation, corn expedition (C) and soybean expedition (D).
Figure 8
Figure 8
Canonical variables (A) for noise in corn (NC), noise in soybean (NS), dust in corn (DC), dust in soybean (DS), relative air humidity (RHA) and air temperature (AT) evaluated in different processing conditions (P). Person's correlation network (B) between the variables noise in corn (NC), noise in soybean (NS), dust in corn (DC), dust in soybean (DS), relative air humidity (RHA) and air temperature (AT) evaluated in different processing conditions.
Figure 9
Figure 9
Algorithm simplified to manage occupational safety at grain handling and storage facilities chart flow.
Figure 10
Figure 10
Algorithm detailed to manage occupational safety at grain handling and storage facilities chart flow.
Figure 11
Figure 11
Algorithm to manage occupational safety at grain handling and storage facilities register screens.
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