6results about How to "Improve time accuracy" patented technology

The present application relates to the technical field of intelligent dry ice production hydraulic control, a dry ice production hydraulic control method and system based on multi-sensor cooperation, the method comprising: confirming a dry ice production hydraulic control environment based on a dry ice production hydraulic control instruction, performing hydraulic pressure on the dry ice raw material based on a hydraulic cylinder, collecting data based on a multi-source sensing unit, time-synchronizing multi-source information to obtain synchronized multi-source information, analyzing the synchronized multi-source information based on an intelligent analysis and decision unit, calculating a target flow based on a working condition stage, calculating a compensation pressure based on a pipe cross-sectional area and the target flow, performing comparative analysis based on synchronized real-time pressure, synchronized output flow, the target flow and the target pressure, and obtaining a reversing valve control instruction based on the working condition stage. The present application can improve the precision, efficiency, reliability and energy utilization rate of dry ice production hydraulic control.

The invention relates to the technical field of virtual training, and provides a simulation data analysis method and system for virtual training of first-aid personnel, the method is applied to a simulation server, and the method comprises the following steps: obtaining target information and first-aid information of the first-aid personnel on a target virtual patient; the first-aid information comprises an original timestamp of each first-aid event in the plurality of first-aid events and a transmission delay duration of each first-aid event; for a target first-aid event in the multiple first-aid events, determining an adjustment timestamp of the target first-aid event according to the target information, the original timestamp of the target first-aid event and the transmission delay duration of the target first-aid event; the target first-aid event is any one first-aid event in a plurality of fruit first-aid events; and arranging the adjustment timestamps of the plurality of first-aid events according to a time sequence to obtain training process data of virtual training of the first-aid personnel. The time sequence accuracy of simulation data analysis of virtual training of first-aid personnel can be improved.

Embodiments of the present disclosure disclose a large language model-based electronic contract generation and sending method, device and equipment. A specific implementation of the method includes: performing semantic analysis on an electronic contract demand information set to obtain a contract demand semantic information set; performing business data mapping processing on the contract demand semantic information set to obtain a business database information set; performing format conversion on the contract demand semantic information set to obtain a contract generation execution instruction set; generating a demand semantic dependency graph set; generating a database call statement set; generating a target electronic contract; performing abnormality detection on each contract segment information included in the target electronic contract to obtain a segment abnormality identification information set; and after adaptive display of the target electronic contract, performing sensitive encryption sending to a corresponding terminal for electronic signature processing. The implementation can improve the efficiency and quality of electronic contract generation, improve the security and display quality of the electronic contract, and reduce the waste of video memory and transmission resources.

This application provides a method and system for precise control of the initiator addition rate in OLED material synthesis, relating to the field of initiator technology. The method includes: real-time monitoring of the OLED material synthesis process to obtain monomer concentration and degree of polymerization sequences; collecting reactor temperature, pressure, and stirring rate data to obtain a temperature-pressure-stirring rate sequence; performing state-time sequence memory transfer interaction to generate a synthesis reaction scenario representation vector; identifying the initiator addition scenario from the synthesis reaction scenario representation vector to obtain the optimal initiator addition rate; and generating control commands for a high-precision metering pump based on the optimal initiator addition rate. This application solves the technical problem of poor accuracy in controlling the initiator addition rate in OLED material synthesis in existing technologies, achieving the technical effect of improving the accuracy of initiator addition rate control in OLED material synthesis.

This application discloses a method and system for quality traceability of the coating process chain based on knowledge graphs, belonging to the field of big data processing technology for quality traceability. The specific implementation scheme is as follows: Dynamic process parameter curve feature analysis is performed to determine whether to adopt time-series curve feature optimization and coating timestamp consistency calibration; temporal causal determination of the coating graph is performed to determine whether to trigger graph temporal constraint supplementation and correlation completion; quality traceability reasoning for the coating process is performed; and after the reasoning is completed, the temporal logic qualification of the coating traceability path is verified. If the verification is qualified, the final coating quality defect traceability result is output; if the verification is unqualified, a notification of unqualified coating quality defect traceability result is sent. This helps to solve the problem of low accuracy of coating process chain quality traceability results.

The present application relates to the technical field of oral health, and particularly relates to a pregnant woman oral health examination management system and method, the system comprising: a gestational week physiological characteristic analysis module for constructing a corresponding oral sensitivity characteristic vector of each gestational week; a morning sickness characteristic analysis module for constructing a gastric acid erosion risk characteristic vector; a tooth characteristic analysis module for constructing a tooth acid resistance characteristic vector; an erosion risk assessment module for coupling analysis of the gastric acid erosion risk characteristic vector and the tooth acid resistance characteristic vector, and evaluating the tooth surface acid erosion risk caused by vomiting; and an oral health risk assessment module for joint modeling based on the oral sensitivity characteristic vector and the tooth surface acid erosion risk evaluation result, and generating a pregnant woman individualized oral health risk assessment result. The present application quantifies the gastric acid erosion risk characteristic caused by morning sickness, the tooth acid resistance characteristic, and the gestational week oral sensitivity characteristic, and effectively improves the prediction accuracy and reliability of the oral health risk during pregnancy.