Four Big data from the engineering staff! Mastering data to become an industry powerhouse!
There is a lot of empirical data in engineering, and a lot of data needs to be readily available. Mastering this data can make you a top player in your industry
There is a lot of empirical data in engineering, and a lot of data needs to be readily available. Mastering this data can make you a top player in your industry.
Earthwork data
Excavators play a crucial role in earthwork engineering. Mastering some key data during the use of excavators can better assist engineers in completing engineering tasks.
The following are some important excavator data and information, hoping to be helpful to all engineers.
220 excavator:
1. One bucket consumes approximately 20-22 liters of fuel per hour.
2. Each hour is approximately 110-130 square meters of soil.
3. The machine shift fee is 250 yuan per hour.
360 excavator:
The fuel consumption of the 1.1.9 square bucket is approximately 28-32 liters per hour.
2. Approximately 190-230 square meters of soil per hour.
3. The machine shift fee is 400 yuan per hour.
In addition, the monthly salary of excavator drivers is approximately 7500-9000 yuan.
Basic construction data
5. Approximately 525 red bricks per cubic meter (divided by wall thickness).
6. About 175 Concrete masonry unit per cubic meter.
Experience value of construction efficiency
2. A bricklayer lays 1000-1800 red bricks a day.
3. One bricklayer builds 800~1000 Concrete masonry unit a day.
Experience data of masonry engineering
64 standard bricks per square meter for 12 walls
18 walls require 96 standard bricks per square meter
128 standard bricks per square meter for 24 walls
192 standard bricks per square meter of 37 walls
256 standard bricks per square meter of 49 walls
Empirical data is data that can be correctly and repeatedly used through extensive practice and generalization of general information encountered in work. These empirical data can not only improve the accuracy of work, but also improve our work efficiency. Mastering and applying these data can help engineers become industry experts!
#Highly knowledgeable#
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