Natural Language Processing Risk Assessment Application Developed for Marble Quarries
Abstract
:1. Introduction
2. Materials and Methods
2.1. Risk Assessment Process
2.2. Data Science Process
3. Results
3.1. Experimental Study
3.2. Data Preprocessing
- Our data were gathered in a way that creates data sets with certain orders.
- Data were augmented to enable enrichment and inter-class balance adjustment in the collected data.
- A data cleaning process was implemented on text data by eliminating non-word and non-space punctuation marks and special characters, converting all letters to lowercase, identifying unnecessary words, and removing them.
3.3. Data Analysis
4. Discussion
5. Conclusions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Score | Probability | Categorization |
---|---|---|
5 | Very frequent (Once a week, every day), under normal working conditions | Almost certain |
4 | Frequent (Monthly) | Likely |
3 | Occasional (A few events in a year) | Possible |
2 | Remote (Once a year), only in abnormal conditions | Unlikely |
1 | Hardly ever (Once a year) | Rare |
Score | Severity | Result |
---|---|---|
5 | Death, permanent total disability | Catastrophic |
4 | Major injury, requiring long-term treatment and therapy, occupational disease | Major |
3 | Minor injury, requiring inpatient treatment | Moderate |
2 | No loss of working days, requiring outpatient treatment without a lasting impact and requiring first aid | Minor |
1 | No loss of working hours and requiring first aid | Insignificant |
Risk Matrix | Severity (S) | |||||
---|---|---|---|---|---|---|
Insignificant | Minor | Moderate | Major | Catastrophic | ||
Likelihood (P) | Rare 1 | Low 1 | Low 2 | Low 3 | Low 4 | Low 5 |
Unlikely 2 | Low 2 | Low 4 | Low 6 | Moderate 8 | Moderate 10 | |
Possible 3 | Low 3 | Low 6 | Moderate 9 | Moderate 12 | Extreme 15 | |
Likely 4 | Low 4 | Moderate 8 | Moderate 12 | Extreme 16 | Extreme 20 | |
Almost certain 5 | Low 5 | Moderate 10 | Extreme 15 | Extreme 20 | Extreme 25 |
Risk Value | Action and Time Planning |
---|---|
25 | Not tolerable risk. It is the risk group that it is not accepted to start work without any measures. |
15–20 | Significant risk. It is the risk group that is extremely important and should be taken measures immediately |
8–12 | Moderate risk. They are significant risks that need to be taken measures in the short term |
4–6 | Tolerable risk. It is a tolerable risk group that requires attention in the long term. |
1–3 | Insignificant risk. Risks that do not matter much and can be accepted. |
Id | Text | Class |
---|---|---|
1 | Garbage should be collected in leak-proof garbage bags and lidded garbage bins. The lids of garbage bins should always be kept closed. | 1 |
2 | PSYCHOLOGICAL RISK FACTORS—Unplanned work. | 2 |
3 | PRODUCTION AREA—Machinery equipment falling at height stone falling from height. | 2 |
… | … | … |
305 | There should be enough plates, forks, spoons, glasses, etc. for all employees using the cafeteria at the same time. The use of uncleaned materials by employees should be prevented. | 1 |
306 | PRODUCTION AREA/WORKING WITH THE DRILLING MACHINE—Stone flying metal spatter. | 3 |
Id | Text | Class |
---|---|---|
1 | PSYCHOLOGICAL RISK FACTORS—Task uncertainty. | 2 |
2 | The insulation of mobile electrical cables should not be with a damaged or attached device, and terminal connections should not be left open and should be properly insulated. | 5 |
3 | BUSINESS GARDEN—Inappropriate parking spaces in the business/improper parking. | 4 |
… | … | … |
305 | CHEMICAL RISK FACTORS—Waste oils. | 3 |
306 | Before starting, drilling machine care should be taken to ensure that they are fixed correctly, and the strengths of the nails and ropes should be checked. | 4 |
Forecast Values | |||||
---|---|---|---|---|---|
Actual Values | 2 | 3 | 4 | ||
2 | 49 | 1 | 2 | ||
3 | 0 | 37 | 7 | ||
4 | 0 | 2 | 39 |
Forecast Values | |||||
---|---|---|---|---|---|
Actual Values | 2 | 3 | 4 | 5 | |
2 | 41 | 0 | 0 | 0 | |
3 | 0 | 48 | 3 | 0 | |
4 | 0 | 0 | 54 | 0 | |
5 | 0 | 0 | 2 | 53 |
Class | Precision | Recall | F1-Score |
---|---|---|---|
1 | 1.00 | 0.94 | 0.97 |
2 | 0.93 | 0.84 | 0.88 |
3 | 0.81 | 0.95 | 0.88 |
Accuracy: | 0.912 |
Class | Precision | Recall | F1-Score |
---|---|---|---|
2 | 1.00 | 1.00 | 1.00 |
3 | 1.00 | 0.94 | 0.97 |
4 | 0.92 | 1.00 | 0.96 |
5 | 1.00 | 0.96 | 0.98 |
Accuracy: | 0.975 |
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Eker, H. Natural Language Processing Risk Assessment Application Developed for Marble Quarries. Appl. Sci. 2024, 14, 9045. https://doi.org/10.3390/app14199045
Eker H. Natural Language Processing Risk Assessment Application Developed for Marble Quarries. Applied Sciences. 2024; 14(19):9045. https://doi.org/10.3390/app14199045
Chicago/Turabian StyleEker, Hasan. 2024. "Natural Language Processing Risk Assessment Application Developed for Marble Quarries" Applied Sciences 14, no. 19: 9045. https://doi.org/10.3390/app14199045
APA StyleEker, H. (2024). Natural Language Processing Risk Assessment Application Developed for Marble Quarries. Applied Sciences, 14(19), 9045. https://doi.org/10.3390/app14199045