USING DRONES TO INCREASE EFFICIENCY AND SURVEY MINING BUSINESS IN CHONBURI PROVINCE

Abstract

Research objectives: 1. To study personal factors affecting the efficiency of drone surveying. 2. To study the use of drones that affects the increase in efficiency and surveying of the mining business. 3. To study guidelines for developing the operational potential of the mining business. This study is quantitative research. The population used in the research is 37 companies in the mining business in Chonburi. The sample group is 400 employees in the mining business in Chonburi province. The instrument used in the research is a questionnaire. Data were analyzed using frequency, mean, percentage, standard deviation. and multiple regression analysis A simple random sampling method was used.

            The results of the study found that: 1. Personal factors affect the efficiency of drone surveying in the mining business. Gender variables and the use of drones It was found that there was a statistical relationship of 0.05 between the age variables and the areas of efficiency enhancement and exploration. It was found that there was a statistical relationship of 0.05 between educational level variables and the mining business. It was found that the relationship was at a statistical level of 0.05. 2. The use of drones affects the efficiency and exploration of the mining business. It was found that the relationship was at a statistical level of 0.05. Most of the mining industry has begun to use surveying technology with unmanned aerial vehicles or Drones to use with various types of surveying technology such as satellite receivers for surveying. and aerial photographs are used to inspect mining areas. From the use of surveying technology with unmanned aerial vehicles. 3. Guidelines for developing the mining business. This can increase operational potential in preparing data for inspection and supervision of mining establishments. The data obtained from the survey is real-time, clearer, more accurate and more efficient. Testing of the research hypotheses was found to be significant at the statistical level of 0.05. All hypotheses were true.