10results about How to "Optimize scheduling" patented technology

This invention relates to an automatic testing device and control method for a handheld terminal, comprising a frame composed of several supports and cover plates. The internal space of the frame is divided into a testing area and an electronic control area by partitions and supports. An electronic control module is located inside the electronic control area. A first control module is mounted on the side wall of the partition in the testing area, and a second control module is mounted on the first control module. The first control module is used to enable lateral movement of the second control module on the first control module. A third control module for changing the position of the handheld terminal is located at the bottom of the frame. The first control module includes a first synchronization belt. The advantages of this structure are that it solves the problems of low testing efficiency, large errors, complex structure, and testing of handheld terminals using only one or two control axes in existing handheld terminal testing methods.

The present disclosure relates to cell processing technology. As an example, a cell processing system can include a plurality of sample processing devices configured to process patient samples and a plurality of readers associated with the plurality of sample processing devices, respectively, wherein each reader is configured to read information from a tracking device associated with a respective patient sample. The system can also include a controller that uses information from the readers to provide an estimated completion time for a patient sample based on availability of the sample processing devices.

This invention discloses a multi-dimensional indicator evaluation and automatic grading system for brand promotion tasks, relating to the field of brand promotion technology. It includes a data processing module for acquiring task feature data from a promotion task database, including dynamic features such as target audience segmentation, channel selection, and budget allocation. The module removes duplicate records and missing values ​​through data cleaning techniques and uses standardization techniques to convert the feature data into a structured feature dataset with a mean of 0 and a variance of 1, resulting in a structured feature dataset. This multi-dimensional indicator evaluation and automatic grading system for brand promotion tasks enables intelligent grading, optimized scheduling, and dynamic adjustment of promotion tasks, improving task execution efficiency and resource utilization, and providing more accurate decision support for promotional activities.

This invention discloses a State of Charge (SOC) display system and method for unmanned logistics vehicles, belonging to the field of battery management technology for unmanned vehicles. The system includes: a vehicle controller, relays, a gateway, and a battery management system. When the vehicle controller and battery management system receive fast charging / slow charging / driving signals, the relay switches close, the gateway starts working, and forwards the data to the backend management system. When the vehicle controller and battery management system receive a driving signal, the backend management system displays the current SOC and driving status. When the vehicle controller and battery management system receive fast charging / slow charging signals, the backend management system displays the current SOC, charging status, charging time, and estimated full charge time. If the fast charging / slow charging / driving signal is lost, the backend management system displays the last received SOC and the vehicle's offline status, flexibly displaying information such as vehicle SOC, vehicle status, charging time, and estimated full charge time, achieving visualized monitoring of vehicle status and the charging process.

This invention relates to the field of data processing technology, specifically to an artificial intelligence-based production line scheduling optimization method. The method obtains the adjustment time and corresponding change magnitude based on the data change characteristics of parameter adjustment curves; it obtains the process difference significance based on the distribution characteristics of the adjustment times of parameter adjustment curves for all orders under the same process and the change magnitudes of all adjustment times; it obtains the target process based on the difference significance of all processes; and it obtains the comprehensive difference degree based on the difference characteristics of the parameter adjustment curves of the target process between different orders. This invention clusters all orders based on the comprehensive difference degree and order production time to obtain different order clusters; and it schedules and allocates production lines based on all order clusters, which can reduce equipment wear and tear and improve production efficiency.

This invention discloses a method for the coordinated optimization of material flow and energy flow and carbon emission management in steel enterprises. The method includes the following steps: constructing a network model of material and energy flow in steel enterprises based on graph theory; introducing a dynamic adjacency matrix, with matrix elements quantitatively representing inter-process material / energy flow, energy efficiency parameters, and time delay characteristics; constructing an energy flow balance equation based on the adjacency matrix, aiming to minimize total energy consumption and maximize residual energy recovery rate; using an improved genetic algorithm to solve for the optimal scheduling scheme, dynamically matching production plans with energy supply; constructing a dynamic accounting model embedding process-level carbon emission factors, automatically generating carbon emission reports through real-time collection of EMS data; and providing carbon reduction strategies in conjunction with carbon quota prediction. This method can achieve accurate description and quantitative characterization of material and energy flow in steel enterprises, optimize energy scheduling, accurately calculate carbon emissions, and realize integrated management of energy and carbon emissions.

This invention relates to a patient scheduling system for a hospital emergency room. An initial assessment scheduling module classifies admitted patients by urgency level. When medical resources are strained, it compares historical emergency records and simulates pre-treatment interventions based on similar cases. Simultaneously, it constructs a waiting queue containing patients at different treatment stages and predicts the impact of adding a patient to the waiting queue on the patient themselves and other patients in the queue. A secondary assessment scheduling module, after the patient receives formal intervention, schedules nurses to perform corresponding examinations and constructs a secondary examination result vector. A comprehensive assessment module combines the urgency level and the secondary examination result vector, using a pre-trained model to obtain the final patient classification, providing a basis for subsequent treatment scheduling. This invention, through pre-intervention and predictive dynamic ranking, effectively utilizes fragmented doctor time, optimizes emergency room resource scheduling, significantly shortens patient waiting time, and improves emergency efficiency and treatment success rate.