The invention relates to the technical field of electrical measurement, and discloses an electrical measurement instrument dynamic
calibration error compensation method, which comprises the following steps: S1, multi-
source data real-time acquisition: integrating a temperature sensor, a
humidity sensor and an
electromagnetic interference detection module in a measurement instrument, configuring
voltage, current, frequency and other measurement channels, and carrying out multi-
source data real-time acquisition at the frequency of not less than 100HZ; environmental parameters (temperature T,
humidity H and
electromagnetic interference intensity E) and measurement data (model characteristic parameters X1, X2,..., Xn such as
voltage, current and frequency) are synchronously acquired. According to the electrical
measuring instrument dynamic
calibration error compensation method, through multi-
source data real-time acquisition and composite error model construction, in combination with multiple
linear regression and an improved BP neural network, environment and measurement
signal changes are comprehensively captured, an error compensation value is accurately calculated, a measurement error can be effectively controlled within an extremely
small range, and the error compensation accuracy is improved. Compared with a traditional method, the
measurement precision is greatly improved.