4 results about "Work period" patented technology

This application discloses a safety credit evaluation method and related apparatus. First, it acquires behavioral data and a quantification model of multiple workers within a given period. In this quantification model, the difference between the occurrence time of a work behavior and the current time is negatively correlated with safety credit. Then, based on the quantification model, the behavioral data is quantified, considering the dynamic impact of work behavior at different times on the quantification score. This enables personalized and differentiated quantitative assessment of the safety credit level of different workers. Subsequently, the quantification score and the basic credit score are weighted and calculated to obtain the safety credit score for each worker. The weight corresponding to each worker's quantification score is positively correlated with their work period, effectively improving the reliability and confidence of each worker's safety credit score, and effectively enhancing the accuracy and intelligence of the safety credit evaluation.

The application discloses a labor real-name system management method, system and equipment, and the method comprises the following steps: monitoring the working state of each personnel, monitoring the working behavior of the personnel in the sign-in state, and monitoring the sign-off duration of the personnel in the sign-off state; comprehensively evaluating the labor according to the working behavior monitoring result and the sign-off duration monitoring result of each personnel in the daily planned working time window, updating the pre-constructed labor knowledge graph based on the comprehensive labor evaluation result, and using the updated labor knowledge graph for labor real-name system management; the application realizes dynamic and comprehensive monitoring of the working process of the labor personnel by monitoring the signed-in personnel and the signed-off personnel, realizes comprehensive labor evaluation in the time-space dimension by combining the working track and the working time, improves the labor achievement evaluation accuracy, realizes precise tracing of the whole life cycle of the labor real-name system by real-time maintenance and update of the labor knowledge graph, and greatly reduces the management cost and the labor dispute risk.

The application discloses a construction efficiency determination method and device, electronic equipment and a storage medium, and relates to ocean exploration. The method comprises the following steps: acquiring work logs corresponding to at least two construction devices respectively, wherein the work logs comprise a plurality of work periods and an activity type corresponding to each work period; determining a plurality of subdivided periods according to the plurality of work periods corresponding to the at least two construction devices respectively; determining a target activity type corresponding to each subdivided period according to a priority of the activity type; and determining a construction efficiency when the at least two construction devices cooperate according to a target time length corresponding to each target activity type. The application can directly obtain the construction efficiency when the at least two construction devices cooperate and the time window of the remaining activity types, which helps decision makers to timely adjust a construction scheme according to the target time length corresponding to each target activity type, and thus improves the construction efficiency.

This invention discloses an AI-assisted work guidance method, comprising the following specific steps: collecting video images of workers' standardized work processes and their voice explanations during work; extracting video frames and corresponding voice explanations for multiple key work periods from the video images; collecting video images of workers' standardized work processes, voice explanations of the work processes, and video images of workers' non-standard work processes; processing the collected data to establish a model database for judging workers' work standards; and monitoring the workers' work processes and recognizing their work actions through monitoring equipment. This method can intelligently identify and judge workers' work processes, which is beneficial for timely detection of workers' non-standard or non-standard work actions and improves the effectiveness of work guidance assistance.