146 research outputs found

    Formula-SAE Wireless Data Logger

    Get PDF
    The Formula-SAE (Society of Automotive Engineers) race car requires an onboard data logger to obtain and record the performance information received from the Fuel Injection Controller. This data is needed for analyzing the engine performance of the race car. It is advantageous to have this unit transmit the data via a wireless link to a handheld monitoring tool. Having user interface, like a LCD screen and a keypad, would make the monitoring tool easy to use. Also making the monitoring tool communicate with a PC would offer the beneficial features of saving and printing data. By having the PC connectivity, performance table updates in the Fuel Injection Controller could also be achieved. This will allow technicians to make changes to the engine performance more efficiently during the testing phases of the Formula-SAE race car

    Wireless Data Logger with Microcontroller MCS-51

    Full text link
    Nowadays, PLN has to hire employees to record the data which is shown by KWH meter at customer\u27s house. The employee can not record it if there are no people in customer\u27s house. To solve this problem, it is needed a KWH meter which can transmit data by using wireless data logger system, so that, the PLN\u27s employee can record the data although there are no people in customer\u27s house. This paper describes about implementation of wireless data logger system on KWH meter. Method used in this system is counting the rotation number of KWH meter plate, then microcontroller transfers the data to the remote device. The sensor used for counting the rotation number is infrared sensor as the transmitter and photodiode as the receiver. Experimental results show that the device can run well if the angle between remote and panel less than 40°, and the distance between remote and panel less than six meters. The maximum power consumtion of the device is not more than 5 watt

    Wireless Data Logger – A Joint Use of Frequency Converter and Wireless Sensor Network

    Get PDF
    “Smart Industry” is a new unavoidable trend in vast varieties of industry fields. In the case of developing smart crane systems, cutting edge innovation and design is required. Many crane manufactures have expressed their strong interest in applying wireless technology to their crane products. Recent research achievements in wireless sensor node development have created technologically mature, cost effective solutions for many applications. When either monitoring or controlling the crane, one must have access to the frequency converter first. As for the purpose of analyzing the behavior of crane, the Wireless Sensor Network can be used to collect data from frequency converters. In this thesis, a wireless sensor network system was designed and developed in order to collect data from several frequency converters. The UWASA Node, a wireless sensor node designed by researchers from Aalto University and University of Vaasa, was implemented for establishing this wireless data logging network. As a result, the system has an ability of logging continuous data as well as the changes of data in user defined logging interval. Additionally, the reliability of the wireless transmission was investigated and possible solutions were presented.fi=Opinnäytetyö kokotekstinä PDF-muodossa.|en=Thesis fulltext in PDF format.|sv=Lärdomsprov tillgängligt som fulltext i PDF-format

    Wireless Data Logger Instrument for Indoor Acoustic Quality Measurement Based on Noise Background, Sound Distribution and Reverberation Time

    Get PDF
    A wireless data logger system measuring indoor acoustic quality was developed using a NodeMCU ESP8266 and microphone sensor KY-037. The acoustic quality is based on parameters of sound pressure level and reverberation time. The system consists of a transmitter unit and a receiver unit. The transmitter unit is equipped with a Microphone KY-037 sensor as a sound detector and NodeMCU ESP8266 as a microcontroller and serial communication with the database. The transmitter unit of this measuring instrument is set at predetermined position points in a room. The results of testing the sound pressure level have an error percentage of 2.09% compared to the Digital Sound Level Meter GM1356 tool. Comprehensive testing of the tool has sent and processed sensor measurement data wirelessly into the database. The processed data is displayed through a GUI web server in the form of a background noise average, an average of the reverberation time value, and a graph of the sound pressure level in the room

    Heart Beat Monitoring And Wireless Data Logging Using Arm Cortex A8

    Get PDF
    Increasing importance in monitoring and logging the real time patient’s related data has led to the development of a new wireless data acquisition system. The basic concept presented in this paper is that we have made one type of wireless data logger[1] system using arm platform which is logging the real time heartbeat[2] data in one text file it is give the heartbeat rate with respect to time. Here we use UDOO[8] development board, UDOO is a single-board computer development platform that merges a dual or quad core ARM Free scale Cortex-A9 i.MX.6 CPU and an Arduino[4] compatible board embedded with a dedicated ARM Atmel SAM3X8E CPU. Physical data is converted in to the electrical form using Arduino UNO R3 and after processing these data it will be transmitted by the RFM. Same way at receiver side one RFM device is required to receive the data which was transmitted by the transmitter. Once the data is received, these data will be given to UDOO board. In UDOO board the data is processed and the data will be monitored on LCD or DVI Monitor

    Simultaneously connecting devices through bluetooth smart

    Get PDF
    Modern data loggers record and store large amounts of data from many different types of sensors. This enables their use in various applications to capture different measurands. However wireless access to the recorded data opens countless possibilities for novel and innovative applications, for example in the health monitoring of humans or livestock. In many of these applications a central device connects simultaneously to several data loggers. This paper discusses the experiences made during the design, implementation and test of an energy efficient wireless interface to a data logger. The implemented system serves as an application example for Bluetooth Smart. It allows a user to monitor ongoing measurements of several data loggers through a smartphone. Additionally the recorded data of several loggers can be simultaneously uploaded to a central gateway. The available Bluetooth Smart chips and software stacks place limitations on usable bandwidth as well as on the number of simultaneous connections. Although most modern smartphones include hardware for Bluetooth Smart, implementations differ widely across platforms, thus creating additional effort for the app programmer. This paper presents measurement results and introduces the implemented approaches to optimize these parameters

    Development of a wireless system to measure the strain/deformation of rock bolts

    Get PDF
    In this study a smart set-up integrated with rock bolts was proposed to automatically monitor, record and analyse rock mass deformation. The proposed system which includes sensors and a wireless data acquisition system, rapidly and readily generates data sets along with customisable graphs, calculations and analysis in a cloud system and can be used in modern mining. To evaluate the developed technique, rock bolts were instrumented lengthwise using resistive strain gauges and then connected to the wireless data logger system. Elastic tensile tests as well as pull-out tests were conducted and the strain values along the rock bolts were successfully and accurately measured, recorded and uploaded to the cloud system

    Design of a Wireless Wereable DAQ System for the Evaluation of Sports Performances

    Get PDF
    An accurate monitoring of the professional athletes\u2019 exercises during training sessions is able to improve their performance by helping them in improving the effectiveness of the movement, in the injury prevention and in the rehabilitation protocols. Wearable and non-encumbrance DAQ (Digital Acquisition) systems are required because it is important to collect data from the athlete\u2019s performance in his natural environment rather than in the unspecific spaces of a laboratory. This paper deals with the design of a wireless data logger for the evaluation and analysis of the sport performance. In particular, the system is composed of a multichannel sEMG (surface Electromyography) system synchronized the kinematic signals obtained by an Inertial Measurement Unit (IMU) placed on the back of the athlete by the use of a belt. The system can be wirelessly connected with a proper terminal for data display and analysis
    corecore