How to use gloss meter?
Linshang LS192 gloss meter (https://www.linshangtech.cn/product/LS192.html) can be widely used in paints and coatings, decoration materials, ceramic products, stone products, bamboo products, construction materials, plastic materials, Measurement of the surface gloss of materials in many fields such as leather shoes, film paper, printing inks, car care, molding dies, metal plating and many other fields. Features of LS192 gloss meter: 1. Instant test, no need to press buttons, real-time display of measurement data 2. National first-class machine standards to ensure that it passes the inspection of any authoritative measurement agency 3. Intelligent statistics function, can count the maximum value, minimum value, average value, standard deviation value 4. With ambient temperature compensation function, the value is stable 5. Aviation aluminum shell and base, super good texture; small design, easy to carry 6. Built-in rechargeable lithium battery, instrument ultra-low power consumption 7. Support USB transmission, special operation software, can operate online with computer and complete test report How to use Linshang gloss meter
　　 How to use LS192 gloss meter: The LS192 has only one power button. Press the power button to turn on the power. After booting, it will perform self-calibration. After passing, it will enter the measurement interface. Place the LS192 on the surface of the material surface. The real-time value of the test, the current recorded value, the maximum value, Minimum value, average value, mean square error value and test and statistics times. After the test is complete, simply close the instrument to the base of the standard board and the system will automatically shut down. 　　 The gloss meter does not need to be pressed when testing, just put the instrument on the material to be tested, and the test data can be displayed. Press the power button, you can record the current test data, and automatic statistics. The uniformity of the surface gloss of the material can be judged by the size of the mean square deviation value.
