With the advancement of intelligent computerised buildings in recent years, there has been strong demands for intelligent elevator control with more sophistication and diverse functions. The design criteria of an intelligent elevator control system would include optimising the movement of a group of elevators with respect to time, energy, load, etc. In this paper, a new elevator group superviso...

An elevator fault diagnosis method based on Sequential Probability Ratio Test (SPRT) is proposed in this paper. In order to verify the effectiveness of the method, this paper designed the fault diagnosis experiment for elevator mechanical system. Firstly, the wavelet transformation is used to filter the noise of the vibration signal collected in the experiment. Then the kurtosis value of the fi...

A fairly general model of the elevator system is presented. Coloured Petri Nets (CPN) and CPN tools are adopted as modeling tools. The model, which is independent of the number of floors and elevators, covers different stages of the elevator system in substantial detail. The model assists simulation-based analysis of different algorithms and rules which govern real elevator systems. The results...

this paper studies the extension mechanisms of the UML in the object oriented application and it introduces a new approach of using Stereotypes and shows its usefulness by implementing in an elevator control system. This paper also discusses the process of specifying, translating and verifying UML specifications for an elevator system. Different kinds of existing UML Meta-models used in an elev...

Erosion degrades soils, reduces crop yields, and diminishes ecosystem services. The total amount of soil that has been eroded since the initiation farming is unknown in most agricultural landscapes, which hinders assessment erosion trends. In Midwestern U.S., caused native prairie remnants to become perched above surrounding farmland, providing an opportunity measure historical rates. We use hi...

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An elevator group supervisory controller is a control system that manages systematically two or more elevators in order to serve passengers as required. The elevator cars are assigned accordingly in response to hall calls, so as to optimize waiting time, riding time, power consumption, passengers’ comfort, etc. In this paper, the simplicity of ordinal structure fuzzy logic in making crucial sup...

Reinforcement learning (RL) comprises an array of techniques that learn a control policy so as to maximize a reward signal. When applied to the control of elevator systems, RL has the potential of finding better control policies than classical heuristic, suboptimal policies. On the other hand, elevator systems offer an interesting benchmark application for the study of RL. In this paper, RL is ...

BACKGROUND Diesel exhaust particles (DEP) synergistically aggravate acute lung injury related to lipopolysaccharide (LPS) in mice, but the components in DEP responsible for this have not been identified. A study was undertaken to examine the effects of the organic chemicals (DEP-OC) and residual carbonaceous nuclei (washed DEP) derived from DEP on LPS related lung injury. METHODS ICR mice wer...

The passenger service level in an elevator system depends on the planning of the elevator group and on the control of the elevators. In this thesis the contribution of passenger and elevator traffic for an elevator group with multiple shafts is studied by simulations and theoretical analysis. During this work an elevator control system, the Traffic Master System 9000 (TMS9000), was developed. T...