4results about How to "Achieving self-calibration" patented technology

The embodiment of the invention discloses a current sensor calibration method, system and device based on a T-type three-level circuit, and the method comprises the steps: adjusting the duty ratio of a horizontal tube circuit and the duty ratio of a vertical tube circuit according to a preset adjustment frequency, and obtaining a plurality of data sets; wherein each data set comprises a phase current measurement value and a transverse tube current measurement value; the phase current measurement value is acquired by a current sensor to be calibrated arranged on the phase current circuit; the transverse tube current is collected by a reference current sensor arranged on the transverse tube circuit; determining calibration parameters of the current sensor to be calibrated according to the multiple groups of data sets; and calibrating the current value collected by the to-be-calibrated current sensor by using the calibration parameter. According to the embodiment of the invention, the calibration parameters can be determined based on the calibration parameters determined by multiple groups of data sets, the precision drift of the to-be-calibrated current sensor caused by long-term use can be effectively compensated, and the high-precision self-calibration of the to-be-calibrated current sensor can be realized without extra high-cost hardware.

The invention discloses an automatic test characterization system and method for an optical phased array chip, and belongs to the field of equipment testing, and the method comprises the steps: carrying out the state initialization calibration of a test characterization system, and guaranteeing that the system is in a good calibration state; obtaining test characterization parameters input by a user; determining a test process according to test characterization parameters input by a user, and carrying out automatic test characterization; performing algorithm processing on the test data generated by the test system, and automatically generating a test characterization result report; and evaluating the performance of the phased array chip according to the generated characterization result report, and judging whether the phased array chip passes the test or not. According to the automatic test characterization system and method, the test characterization efficiency of the optical phased array chip can be effectively improved, and the inconsistency of test characterization results caused by human factors is avoided to the greatest extent.

The present application relates to the technical field of intelligent management of color steel composite board, and particularly relates to a color steel composite board production data intelligent management system; the system comprises a data acquisition module, a plate blank tracking module, an energy consumption collection module, an energy consumption analysis module and a feedback optimization module. The present application realizes accurate identification of the time node of the plate blank entering the foaming furnace, guarantees the accuracy of energy consumption statistics, and realizes fine energy management; each plate blank is tracked in real time by using the fusion of vision and RFID, and its "energy consumption responsibility period" in the foaming furnace is accurately defined, and then the total energy consumption is accurately collected to a single plate blank by using integral calculation and proportional allocation, when an energy consumption anomaly is detected, the accuracy of the tracking time sequence is first verified to realize system self-calibration; if the time sequence is correct, further superimposed analysis of key parameter curves such as gas flow, temperature, speed and raw material pressure is performed, the abnormal reason is intelligently judged, and the parameters are automatically adjusted or the precise alarm is triggered.

This invention discloses an intelligent control system for data acquisition and processing of a digital operation platform, belonging to the field of data acquisition and processing technology. It includes a sensing terminal, an edge terminal, and a cloud terminal. The sensing terminal acquires multi-source data to obtain terminal-sensed data, evaluates the contribution of each unit's categorized data, obtains the contribution degree of each unit's categorized data, adjusts the acquisition parameters based on the contribution degree, and transmits the terminal-sensed data to the edge terminal according to the contribution degree. The edge terminal then distributes the categorized data of each unit to the cloud terminal based on the contribution degree. The cloud terminal analyzes the terminal-sensed data based on a preset cloud analysis method to obtain cloud analysis results. It identifies the contribution degree of each unit's categorized data and analyzes control link information, classifies the analysis control link information according to the contribution degree, obtains the security protection classification corresponding to each link's step information, and performs dynamic differentiated security protection processing based on the security protection classification.