4results about How to "Good motivation" patented technology

The invention relates to the technical field of enterprise management, and discloses an intelligent enterprise management system and method based on big data, and the system comprises a multi-dimensional collection module and an intelligent management module. According to the enterprise intelligent management system and method based on big data, management data of all regional branch companies, working data of employees and market research data are acquired through a multi-dimensional acquisition module and are classified to form a data set, and an intelligent management module analyzes the cost-benefit ratio, the index achievement rate, the net flow rate and the operation score of each regional branch company; the output ratio and the individual score of each employee are analyzed, the intelligent management module analyzes the fluctuation rate of historical product prices, the fluctuation rate of peer product prices, the fluctuation rate of product failure rates, and the fluctuation rate and the fluctuation coefficient of peer product failure rates of each region, and the multi-dimensional analysis integration capability is high; the intelligent management module judges operation states of regional branch companies, working states of employees and market fluctuation trends and performs scheduling measures, so that efficient operation and high emergency response capability are achieved.

This invention relates to the field of energy system optimization and intelligent scheduling technology, and particularly to a multi-domain economic scheduling method and system based on game theory and generative networks. The invention includes: constructing a master-slave game framework; using a conditional generative adversarial network to generate a sequence of predicted scenarios for future time periods and selecting typical scenarios; the slaves calculating their local optimal trading volume based on time-of-use pricing and typical scenarios; calculating a global consistency variable based on the local optimal trading volumes of all slaves, and dynamically adjusting the penalty factor of the alternating direction multiplier method according to scenario deviations; updating the dual variable based on the global consistency variable until the convergence condition is met, obtaining the converged trading result; evaluating the overall system benefit based on the converged trading result; if the preset target is not achieved, adjusting the master's strategy and re-triggering the game process until the preset target is achieved, outputting the final scheduling plan. This invention significantly improves the game model's ability to handle uncertainty and achieves high accuracy.

The invention belongs to the technical field of psychological sand tables, and particularly relates to a psychological sand table for psychological health treatment, which comprises a sand table basin and a support assembly for mounting the sand table basin, and is characterized in that the support assembly comprises a support plate for placing the sand table basin, and a support column, a guide column, a base and support legs for fixing the sand table basin; an output assembly used for automatically adjusting the height of the sand table basin is installed on the surface of the base, the output assembly comprises an installation base, an air cylinder, a fixing plate, a sliding rail base and a sliding plate, a cleaning assembly used for cleaning a sand box is arranged on the inner side of the sand table basin, and the cleaning assembly comprises a movable frame, a guide buckle, a guide rail, a vertical plate, a threaded rod, a motor and a movable plate; the psychological sand table can be adjusted according to the heights of different users, the practicability of the psychological sand table is improved, the sand table can be smoothed to facilitate use next time, and articles left in fine sand can be quickly found out.

The invention discloses an intelligent follow-up visit system for a clinical test. The intelligent follow-up visit system comprises a follow-up visit plan management end, a follow-up visit data input end, a follow-up visit reminding and notification end, a follow-up visit data monitoring and verification end, a follow-up visit data query and analysis end and a follow-up visit report and export end. The follow-up plan management end, the follow-up data input end, the follow-up reminding and notification end, the follow-up data monitoring and verification end, the follow-up data query and analysis end and the follow-up report and export end are in data communication through a private network and a private line network. The intelligent follow-up visit system aims to improve follow-up visit efficiency, accuracy and reliability, meanwhile, the workload of researchers is relieved, the clinical test researchers can better monitor the illness state and the treatment effect of the patient through the intelligent follow-up visit system, and the quality and reliability of data are improved. Meanwhile, the patient can obtain more convenient and personalized follow-up visit and support, and the enthusiasm and treatment compliance of the patient participating in a clinical test are promoted.