LED Intelligent Dimming System Based on Data Fusion Technology

Due to the rapid development of precision manufacturing technology, much research has been conducted in the field of multisensor measurement and data fusion technology with a goal of enhancing monitoring capabilities in terms of measurement accuracy and information richness, thereby improving the efficiency and precision of manufacturing. In a multisensor system, each sensor independently measures certain parameters. Then, the system uses a relevant signal-processing algorithm to combine all of the independent measurements into a comprehensive set of measurement results. The purpose of this paper is to describe multisensor measurement and data fusion technology and its applications in precision monitoring systems. The architecture of multisensor measurement systems is reviewed, and some implementations in manufacturing systems are presented. In addition to the multisensor measurement system, related data fusion methods and algorithms are summarized. Further perspectives on multisensor monitoring and data fusion technology are included at the end of this paper.

At first, according to the feature of ceramic kiln, this paper studies a fundamental data fusion method which is applied to ceramic kiln temperature control system. This method is used to solve the parameter estimation problem in measurement noise environment. Then, it proposes a kind of intelligent control structure of ceramic kiln temperature control system based on multi-sensor data fusion technology. At last, this data fusion method is applied to intelligent temperature control system of ceramic kiln. The result shows that the method proposed is effective and feasible.

Aiming at solving the navigation and obstacle avoidance of the unmanned vehicle,the multi sensor data fusion technology and unmanned vehicle obstacle avoidance navigation algorithm were studied profoundly. According to the requirements of the application of unmanned vehicle navigation and obstacle avoidance system, multisensor data fusion technology was applied to unmanned vehicle navigation and obstacle avoidance control system. In addition, A*VFF navigation and obstacle avoidance algorithm based on fuzzy neural network was improved. Finally, through the construction of the simulation platform, simulation experiment of the unmanned vehicle obstacle avoidance navigation was completed, and a better route was planned for unmanned vehicle in a more complex environment. The results showed that it realized the autonomous navigation of unmanned vehicle and obstacle avoidance function. Based on the above findings, it is concluded that the application of artificial intelligence detection system has good performance.

With the widespread application of large and complicated network, network safety has become an important issue. In this paper, a security operation center (SOC) concept based on multi-sensor data fusion technology is presented from the viewpoint of the network security. A structure of a SOC system based on radial basis function neural (RBFN) network is proposed, and the detailed method of data fusion in SOC is discussed. A prototype of SOC system is developed according to this structure of the SOC, experimental results indicate that the SOC system based on RBFN network can increase greatly the correctness of detection intrusion and decrease the rate of false positive

Lighting technology is progressing day by day from incandescent lamps, CFL, Induction lamps to the LEDs. LED is the future of lighting as it is having longer life greater than 50000 hours, absence of mercury, good light output, energy efficient. PWM dimming is used to control the brightness of LED. Proposed technology uses PIC16F877A microcontroller to generate PWM (Pulse Width Modulation) pulse applied as input to dimming input of constant current LED driver. Microcontroller generates PWM signal of 1.95 KHz frequency to automatically dim the LED module with respect to 24 hour. Because of which light output is reduced during the time when minimum amount of light intensity is required which results in huge energy saving. Ambient temperature is displayed on Liquid Crystal Display. Experiments are performed with various duty cycles of pulse width modulation technology and results are compared with traditional dimming technology suitable for automatic dimming feature. PWM technology possesses highest efficiency of 90 percent. It was also found that as we dim the LEDs, junction temperature also reduces which does elongates the lifetime of LED module.

At present, multi-sensor data fusion technology has been applied in many fields, and we have to understand the algorithm principle of multisensor data fusion technology, master the basic theory of multisensor data fusion technology, and analyze the application field of multisensor data fusion technology. The technical challenges of its application area should be understood. The discussion on its development direction has promoted the wide application of multisensor data fusion technology. By improving the query planning, query interpretation, and cache query optimization mechanism of different data organization models, a scalable and efficient distributed hybrid online analytical processing system is designed and implemented. With the opening of the medical system reform, the construction of the medical security system will be continuously improved. The in-depth reform of the medical security system will affect the medical treatment of more than one billion people, involving thousands of households, and it is a great cause for the welfare of the people. In this paper, exploration and research are carried out, combined with the basic algorithm and typical application of data fusion, and the construction of urban residents’ medical insurance is studied. The experimental results show that the Cavani index of medical expenses generally shows a downward trend in urban and rural areas, and the urban area has decreased from −0.1916 in 2012 to −0.2995 in 2020. This paper focuses on the in-depth study of the development process, actual situation, and existing problems of the social medical insurance system for urban residents, compares the development models of urban medical insurance in other places, and tries to put forward valuable and constructive countermeasures for the medical insurance system for urban residents.

The paper designed a WLAN system with RFID systems joint locating algorithm based on Federated Kalman Filtering. For the problem in indoor mobile node single positioning system, such as insufficient positioning accuracy, longer positioning time and not ideal algorithm complexity, it was proposed that the federated filtering techniques was applied in the location system, and was combined with data from WLAN and RFID to realize all accuracy improved. In the system, sub-filter use unscented Kalman filter algorithm independent measurement updates and time update, and the subsystem information is fused with the main filter based on no feedback mode. It was proved from the result that the calculation improved was of feasibility, which reduced unscented Kalman filter calculation, decreased maximum deviation and minimum deviation and improved the positioning accuracy. Introduction With the increase of the number of mobile devices and improvement of the degree of intelligence, location technology [1] is highly valued by the researcher as the core support functions of various kinds of mobile applications. At present, common indoor positioning technology includes ultrasonic positioning technology, WLAN positioning technology, Zigbee positioning technology, infrared positioning technology and RFID positioning technology. One single positioning technology is difficult to achieve a satisfactory result in practice, so multi-sensor data fusion technology has become an important issue in the field of indoor mobile node localization. WLAN positioning technology has developed rapidly in recent years,which mainly includes Nibble system[2] based on acquisition and analysis of noise ratio or signal quality, WHAM! Positioning system[3] based on receiving the signal strength of AP, Ekahau positioning system[4] , Horus positioning systems and Rice systems.The RFID system,whose positioning time is shorter, the precision is higher, received much concern for its advantages of non-line and non contract ,although the positioning range is limited to the distance between the transmitter and the receiver .This paper is to effectively improve the positioning accuracy of the mobile node and real-time through information fusion of WLAN positioning system and RFID positioning system based on Federated Kalman Filtering, which has certain practical value. Theoretical basis Federated Kalman Filtering Model Traditional Kalman filtering technology for multi-sensor data fusion methods generally includes centralized Kalman filtering and the decentralized Kalman filter. Federated filter proposed by Carlson[5] achieves good effect in practical application because of its small amount of calculation, good fault-tolerant performance and flexible design. Fusion algorithm based on Federated Kalman Filtering includes algorithm both whose estimate for each sub filter is correlated and uncorrelated. Due to the premise that the various sub filters is uncorrelated can not be guaranteed in the actual use,this paper mainly study the fusion algorithm for the estimate of each sub filter,using the variance upper bound technique to transform the filtering algorithm,thus each sub filter will be estimated from the correlated state.Federated filter is a kind of two-stage filtering structure. It is assumed that the state estimation of each sub filter can be 4th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2016) © 2016. The authors Published by Atlantis Press 2001 expressed as: ˆ ˆ ˆ ci i bi X X X   =       . ˆ ci X is the estimate of the common state c X for each sub filter. ˆ bi X is the proprietary state estimate of filter i . Process design of Federated Kalman filter Under normal circumstances, federated filter process mainly includes four processes as follow : information distribution, information update, measurement update of information and information fusion. Step1 Distribution of information.Determine the proportionality coefficient of information distribution,between the main filters and sub filters as shown in formula (1). 1 k Q − and ( ) 1 | g k k P − refer to system process information.In formula (1), parameter i β is called an information distribution coefficient to meet the conditions of 0 i β > and distribution principle in formula (2).

Based on the multi-sensor data fusion technology, a new Intrusion Detection Data Fusion Model-IDSFP is presented. This model is characterized by correlating and merging alerts of different types of IDSs, generating the measures of the security situation, and thus constituting the evidence. Current security situation of network is estimated by applying the D-S Evidence Theory, and some IDSs in the network are dynamically adjusted to strengthen the detection of the data that relate to the attack attempt. Consequently, the false positive rate and the false negative rate are effectively reduced, and the detection efficiency of IDS is accordingly improved.

In order to overcome the problems of low security and efficiency existing in traditional computerized accounting information resource fusion methods, this paper proposes a new method of computerized accounting information resource sharing based on data fusion technology. According to the function of data fusion, the mapping relationship of knowledge elements of computerized accounting information resources is constructed by using data fusion technology, and the computerized accounting information resources are fully integrated. Based on the fused computerized accounting information resources, the Lagrange interpolation method is used to calculate the secure sharing key of computerized accounting information resources, and the secure sharing of computerized accounting information resources is completed. The experimental results show that the proposed resource sharing method can effectively ensure the security of computerized accounting information resources, and effectively improve the transmission efficiency of computerized accounting information resources.

This article proposes an LED driver circuit which is wide-range continuous dimmable for high power lighting application. The proposed LED driver is based on single-inductor–multiple-output (SIMO) dc–dc converter. A pulsewidth modulation (PWM) control strategy is applied on the LED driver to control the brightness of LEDs flexibly and precisely, with which the dimming frequency can be increased significantly, and the dimming ratio for all branches can be adjusted separately. PWM dimming would cause the inductor current overshooting when dimming switch alters from off to on , which makes the LED current varying. To suppress the inductor current overshooting, a sampling–holding circuit is adopted in the feedback loop of the proposed LED driver. A prototype of the proposed LED driver is fabricated and tested. The measurement results show that the dimming frequency can be increased to 10 kHz, the dimming ratio can be set from 5% to 100% with a minimum pulsewidth of 5 $\mu$ s, and the inductor current overshooting is suppressed from 150% to approximately 0%. The proposed LED driver can output more than 80 W and achieve a conversion efficiency of 97%.

Pacific Northwest Laboratory (PNL) has been tasked with testing, debugging, and refining the Hanford Site data fusion workstation (DFW), with the assistance of Coleman Research Corporation (CRC), before delivering the DFW to the environmental restoration client at the Hanford Site. Data fusion is the mathematical combination (or fusion) of disparate data sets into a single interpretation. The data fusion software used in this study was developed by CRC. This report discusses the results of evaluating a surface direct-current (dc) resistivity and well-pick data set using two methods: data fusion technology and commercially available software (i.e., RESIX Plus from Interpex Ltd., Golden, Colorado), the conventional method of analysis. The report compares the two technologies; describes the survey, procedures, and results; and includes conclusions and recommendations. The surface dc resistivity and well-pick data set had been acquired by PNL from a study performed in May 1993 at Eielson Air Force Base near Fairbanks, Alaska. The resistivity survey data were acquired to map the top of permafrost in support of a hydrogeologic study. This data set provided an excellent opportunity to test and refine the dc resistivity capabilities of the DFW; previously, the data fusion software was untested on dc resistivity data. The DFW was used to evaluate the dc resistivity survey data and to produce a 3-dimensional earth model of the study area.

In this work, we propose a method to mitigate the interference caused by other light sources for OFDM based visible light communication systems. We consider two LED based light sources in the environment and assume only one of them is emitting information. When the second luminary is dimmed with pulse-width-modulation (PWM) method, the pulse transitions of the PWM signal emitted by the second luminary will disrupt the useful OFDM signal. The proposed interference mitigation technique can detect the pulse transition instances and recover the useful signal.

In this paper, the intelligent irrigation system is designed, which sets the STC89C51RC single-chip microcomputer as the core controller, and the peripheral devices such as light intensity sensors, temperature and humidity sensors, LCD display screens, Bluetooth, touch sensitive capacitive buttons, relays, and water pumps are composed as the complete intelligent irrigation system. This system can display the temperature, humidity and light intensity of the environment in real time, and can conduct real-time monitoring based the preset thresholds. If the monitoring parameters are lower than the set thresholds, the system will turn on the water pump for automatic irrigating. In addition, users can learn about the real-time situation of environmental monitoring or adjust the threshold through their mobile phones. Experimental results have shown that the system has complete functions, high monitoring accuracy, and stable operation. Therefore, it has a wide application market.

As one of the hallmarks of agricultural modernization, intelligent greenhouse has the advantages of high yield, excellent quality, no pollution and continuous planting. Taking AT89S52 microcontroller as the main controller, the greenhouse intelligent control system uses soil moisture sensor, temperature and humidity sensors, light intensity sensor and CO2 concentration sensor to collect measurements and display them on the 12864 LCD screen real-time. Meantime, climate parameter values can be manually set online. The collected measured values are compared with the set standard values, and then the lighting, ventilation fans, warming lamps, water pumps and other facilities automatically start to adjust the climate such as light intensity, CO2 concentration, temperature, air humidity and soil moisture of the greenhouse parameter. So, the state of the environment in the greenhouse Stabilizes and the crop grows in a suitable environment.

Based on the research of wireless sensor network, this paper studies the gear routing protocol from two aspects of network coding and data fusion technology. A DNC-GEAR routing protocol based on gear algorithm and an improved GEAR data fusion algorithm are proposed. By introducing sensor network coding and data fusion technology, the improved GEAR routing protocol reduces the number of packets sent through the network, propagation delay, and information redundancy. Then, in this paper, we will analyze the spatial distribution of temperature and salinity during the whole observation period based on the cross-sectional survey data along the coast in summer. The temperature front is extracted and combined with the data of sea temperature and wind field to analyze the different water layers and cross sections of the temperature front along the coast of the ocean and to study its distribution, mixing process, and parameterization. When the seawater temperature front is bent or deformed by wind or interaction with environmental factors, its velocity and shear force increase, the convergence and divergence process become stronger, and it mixes with the sub-mesoscale process. These processes can improve the material and energy exchange on the front surface. Now, the new teaching mode plays an important role in education. The new teaching mode of the Internet has become an indispensable tool for teachers in the process of education. However, although the Internet teaching mode provides convenient and favorable classroom teaching conditions for teachers, it also brings some negative effects. In this paper, through the research of the sensor network, it is applied to the research of the coastal temperature front and the new teaching mode in colleges and universities, so as to promote the development of the future temperature front and teaching mode.