The purpose of weighing instrument's bias load adjustment is to make the weighing result of the same weight object no matter the center of gravity is in any position of the carrier, that is, the error will not exceed the maximum allowable error. Such a weighing instrument can also ensure that the torque of four sensors in the system is equal.
When such a weighing instrument is weighing, the sum of the force values of the four sensors is equal to the weight of the weighing object. When measuring the center of gravity, the relative center of gravity position of the object can be calculated by the torque difference of the sensor, that is, the coordinates of the center of gravity position are obtained by calculation according to the measured torque difference and the geometric size of the carrier. Therefore, the measurement error can be obtained according to the formula for calculating the center of gravity, and no test is needed to determine it. The test method is only the circumstantial evidence of the measurement results.
However, for the hanging container device, because the device has no carrier, and the sensor used for measurement is different from the weighing device fixed or similar to truck scale, the measurement result has a great relationship with the actual condition of the container to be measured. The calibration method and result of the device should be designed by the basic mechanical principle, and it is not easy to use some measurement methods to rigidly cover, otherwise the results will be obtained It's not necessarily reasonable and reliable.
Due to the wide application of microprocessor and computer in weighing engineering, especially with the rapid development of Internet and big data, many people with insight in weighing instrument industry focus on these technologies to develop weighing instrument industry. However, on the other hand, some people who are initially involved in the weighing instrument industry often neglect the basic principles and laws of weighing instrument, and are prone to make some low-level mistakes in their work, resulting in confusion in understanding and failure in work.
What's more, they often don't know what's wrong and try to solve problems through so-called "new ideas" and "high-tech means", but these efforts are in vain.