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The existing cable adjustment system has a long adjustment cycle on the adjustment of flat floor, running curves and involving running part for the car. On the other hand, it usually requires the close coordination between two adjustors. So this paper designs an elevator wireless adjustment system, involving Bluetooth technology, WIFI technology, Android phone technology and microcontroller technology. The elevator wireless adjustment system makes the process of adjustment intuitive, reduces the workload of adjustor and speeds up the elevator adjustment cycle. Compared with the traditional elevator adjustment method, this system makes it possible that using an Android phone as an elevator adjustment tool to debug the elevator with WIFI or Bluetooth. Besides compared with other wireless elevator adjustment methods, the wireless module is fixed on the controller for elevator car instead of the elevator controller, this method avoids the limit of wireless distance, and the adjustor just needs to stay in the elevator car when adjusting the parameter of elevator car instead of running up and down, the real-time adjustment result is able to be seen in the Android phone. Test has proved that the feasibility, effectiveness and reliability of the design of an elevator wireless adjustment system.

In this study we explored that whether PDE inhibitor rolipram affected cholesrterol efflux and ABCA1 expression in THP-1 macrophage foam cells. Cholesterol efflux in THP-1 macrophage-derived foam cells were detected by FJ-2107P type liquid scintillator. The expression of ABCA1 mRNA and protein were determined by RT-PCR and Western blotting respectively. The levels of cAMP were analysed by low PH EIA. The method of liquid scintillator confirmed PDE inhibitor rolipram promoted cholesterol efflux in THP-1 macrophage foam cells with a time-dependent manner. The results of RT-PCR and Western blotting proved that in THP-1 macrophage-derived foam cells, rolipram increased the levels of ABCA1 mRNA and protein with time, respectively, HPLC testified that rolipram time-dependent decreased the levels of cholesterol and cholesterol ester and upgratulated cAMP in THP-1 macrophage-derived foam cells. Therefore, PDE specific inhibitor rolipram may increase cholesterol efflux and promote ABCA1 expression in THP-1 macrophage-derived foam cells. This study reveals a novel therapy strategy for atherosclerosis.

This paper presents a new device which can detect the lift car position by the photoelectric sensor Si1120. Microcontroller ATmega16 is used as the main controller of this new device. The Si1120 can output PWM wave when sense the infrared light. According to the strength of the infrared light reflected from the tailgate on each floor, the ATmega16 receives the PWM wave of different width. The distance is different between the device and baffle on each floor, so the device can detect the elevator floor position. The device can work when just fixed on the lift car, so the precision of installation is low and with easy maintenance. The experimental results indicate that the system's real-time, accuracy and reliability basically meet the control requirements. This new type of detector has a certain practical value and great application prospect.

This paper presents a test system of elevator model, in which ATmega128 Chip Microcontroller controller is used as the core control chip and the mode controlled by the Pulse Width Modulation technology. This system uses incremental optical encoder as speed detecting sensor, applies traditional PI digital controlling theories, and then produces PWM signal to drive the DC motor in order to adjusting the speed of motor. The hardware constitution, software design and operating principle of the system are also given. Besides, analyzing and exploring PWM speed adjusting mode, power drive circuit and PI regulator are the priority research points. The debugging results indicated that the control requirement of real-time performance, accuracy and reliability were all reached. Consequently, this supervising system is suited for practical application.

This paper presents a novel control approach based on digital image processing for elevator door protection system. This system is a non-contact type of elevator door protection system, which incorporates the background difference method and inter-frame difference method to achieve moving object detection and identifies the human body by the ratio of the image area and domain of variation. Finally, human body tracking is based on the contour accumulative differences to determine whether the person is to take the elevator or just pass through real time. The simulation result shows that the algorithm's real time performance, adaptability and accuracy have met the requirement of elevator door protection system. It can be commercialized for elevator door protection system.

in some high-cost industrial field, in order to make image processing technology make up for deficiencies in existing control methods and also have a high economy, this paper presents a smart elevator door control system based on image processing technology. Select atmega32 as the main control chip and ov7620 as image acquisition chip. Design plans to resolve the defects of 8-bit microcontroller in the course of image processing. According to the feature of image pixels, we use Semi-Neighborhood Averaging Algorithm combined with Background Difference Method for moving objects identifying. Experimental results show that the system's real-time performance and adaptability accord with all basic requirements. It will bring considerable economic benefit and great practical value.