Online Tracking Simulation System of a 660 MW Ultra-Supercritical Circulating Fluidized Bed Boiler

In this paper,an online tracking simulation system for the 660 MW ultra-supercritical circulating fluidized bed(USCFB)boiler is established,and a tracking simulation test is conducted for the cold start-up process of the boiler.The system comprises two parts:the USCFB boiler model and a tracking mechanism based on sliding mode control algorithm.The USCFB boiler model includes a water-steam system,an air-flue gas system,a material supply system,and an ash circulation system.The online tracking simulation system receives the same control signal as the plant and runs synchronously in digital space.The tracking mechanism updates model parameters to eliminate deviations between simulation values and measured values.The SMC-based multi-input,multi-output algorithm is based on a state-space model,providing two distinct advantages.Firstly,it enables more efficient elimination of deviations;secondly,it exhibits robustness against uncertainties associated with simulation model behavior and measurement noise.Finally,this paper conducts tracking simulation research on the cold start-up process of the boiler.

Graduating Nurses in the Time of COVID-19

Nursing has been a leader in online education for more than two decades. Nursing students have taken advantage of the flexible scheduling and variety of online nursing programs to pursue their education due to distance, family, or work demands;however, since the outbreak of COVID-19, nursing schools in the United States have adapted by implementing an online alternative to assess students’ clinical skills required to graduate. Nursing faculty have been forced into this new learning culture, navigating the online landscape, learning new technologies and teaching methods, and adapting to clinical social distance education. Nursing is a performance-based profession in which the clinical learning environment plays an important role in developing skills and professional abilities. The purpose of this evidence-based teaching project is to, based on National League for Nursing (NLN), not only contribute to improvement but ensure educational quality for undergraduate nursing students by examining how online simulation compared to clinical experience with an actual patient, affects nurses’ clinical competence. Therefore, after reviewing 14 peer-reviewed articles, evidence shows benefits for undergraduate nursing students to retain better clinical competence when virtual simulation and clinical sites are combined;however, further research is recommended. Articles were selected as the evidence base for this project, following specific inclusion criteria. Inclusion criteria for evidence were articles within six years, including undergraduate nurse students with online clinical education;the exclusion criteria were studies including graduate nurse students and articles older than six years. Based on the project’s outcome, it is suggested that a nurse residency should follow online simulations to complete clinical hours. .

A PSL Ontology-based Shop Floor Dynamical Scheduler Design

Due to the complex,uncertainty and dynamics in the modern manufacturing environment,a flexible and robust shop floor scheduler is essential to achieve the production goals.A design framework of a shop floor dynamical scheduler is presented in this paper.The workflow and function modules of the scheduler are discussed in detail.A multi-step adaptive scheduling strategy and a process specification language,which is an ontology-based representation of process plan,are utilized in the proposed scheduler.The scheduler acquires the dispatching rule from the knowledge base and uses the build-in on-line simulator to evaluate the obtained rule.These technologies enable the scheduler to improve its fine-tune ability and effectively transfer process information into other heterogeneous information systems in a shop floor.The effectiveness of the suggested structure will be demonstrated via its application in the scheduling system of a manufacturing enterprise.