As the only component in the use of air respirators, the pressure gauge intuitively displays the air pressure, calculates the amount of remaining air, and indirectly indicates the use time, which plays a pivotal role in air respirators.
The quality of the pressure gauge directly determines the quality of the air respirator. At present, the domestic air respirator pressure gauge testing process is manual reading detection.
During the detection process, it is easy to be affected by the external environment and human factors, so it is particularly important in the intelligent detection pressure gauge system.
By extracting and processing information from images of objective objects, the value of the pressure gauge for respirators can be automatically detected and read, and the quality and efficiency of the inspection are improved.
Respirators (hereinafter referred to as respirators) are widely used in firefighting, chemical, petroleum, mining and other departments, and are high-performance personal protective equipment for firefighters or emergency rescue and disaster relief personnel to protect their respiratory organs in various environments such as thick smoke, poisonous gas, steam or lack of oxygen.
As an important safety accessory of the respirator, the pressure gauge is not only to display a few pressure numbers, but also to play a pivotal role in the air respirator as the only way to intuitively display the air pressure and the amount of remaining air, and indirectly indicate the use time.
The quality of the pressure gauge directly determines the quality of the use of air respirators, which is related to life and production safety. After a period of use, the pressure gauge will have some deformation and wear, resulting in certain errors and failures, so it must be regularly overhauled and maintained to ensure safe and reliable use.
At present, the domestic air respirator pressure gauge testing process is manual reading detection, and the staff is engaged in tedious labor with high repetition and fatigue in the instrument testing process.
Not only the workload is large and the efficiency is low, but also affected by human interference factors, and the accuracy is not easy to guarantee.
Because the pointer instrument is not a digital signal, it is not convenient to be collected into the digital computer system, how to automatically interpret the pointer instrument and convert it into a digital signal has become an urgent problem to be solved by automatic control and intelligent detection.