sensor data Articles

  • Axetris Sensor Field Test

    The Axetris LGDs were operated continuously for two years. After intensive laboratory testing, they went out into the field in 2015. Axetris was able to test the functionality of its sensors under real-life conditions thanks to the support of the Linth waste incineration plant. The gas concentration measuring devices called laser gas detectors ( ...


    By Axetris Ag

  • Big Data: It’s all about the strategy

    Big Data, a huge amount of data, is a challenge for researchers and analysts. Although the data sets can lead to many new insights after the evaluation, their complexity, fast rate of change, and simply their amount makes it almost impossible to process them with classic methods and without smart technical aids. Images, audios, videos, GPS satellite data, internal company information, social ...

  • A quick guide to oil analysis for engine test applications

    Reliability testing is a very important component of new engine development. Engineers need to fully understand and chart the engine lifetime performance under a variety of conditions before mass production may be considered. Many important performance data parameters are collected in real time through the many different types of sensors that are connected to the engine in the test cell and oil ...


    By Spectro Scientific

  • The benefits of monitoring compressed air

    Compressed air is used in many manufacturing processes for many different reasons, from the actuation and control of pneumatic valves and cylinders to the operation of process machinery and tooling. It can also be used as a transport medium for bulk materials or as a purge gas. For all its uses it is nonetheless expensive. This is why, through detailed monitoring, a business can enjoy the ...


    By Contrec Europe Limited

  • Sensor data processing for emergency response

    A gap with current Emergency Response (ER) is the lack of real-time information on the status of an incident. Wireless sensor networks have shown great potential in addressing this gap. However, sensor data streams often contain 'noise', thus they are too difficult to be directly interpreted. In addition, sensor data are often meaningless unless it is associated with time and location ...


    By Inderscience Publishers

  • Group method of data handling and neural networks applied in temperature sensors monitoring

    In this work a monitoring system is developed based on the Group Method of Data Handling (GMDH) and Artificial Neural Networks (ANNs) methodologies. GMDH creates non-linear algebraic models for system characterisation and ANN is a massively parallel distributed processor made up of simple processing units called neurons. The monitoring system was applied to the IEA-R1 research reactor at ...


    By Inderscience Publishers

  • Case Study - Sewer Sensors

    Sewer Sensors Sewer sensors are offered by Solid Applied Technologies for remote level monitoring. The sesnors are ultrasonic, non-contact with no moving parts. The system is equipped with an external battery pack and can operate at a low-power-mode for long term life. The sensors are equipped with embedded GSM cellular modem and act as M2M terminals, transmitting data ...

  • Wireless Sensors for Environmental Compliance

    Untitled Document When no wires are required for power or signal transmission, monitoring devices not only become less costly to own and operate, but they can also be installed ...


  • Environmental Sensors in Waste Management

    Issue: As part of an increasing sentiment among European consumers that environmental protection is important, concern about the impact of landfill is growing. Sensor technology makes it possible to measure and control inputs to landfill sites and pollutants arising from them. However, the exploitation - or uptake - of such technology has been lower than expected in the waste management sector. ...


  • Forget big data! Collect the right data

    The term big data is everywhere nowadays, but what does it actually mean? According to a definition provided by Google, big data is ‘extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations.’ Sounds great, right? In theory, yes. Through big data, businesses can have a greater overview of their operations than ever before, allowing ...


    By Hansford Sensors

  • Optimizing external carbon source addition in domestics wastewater treatment based on online sensoring data and a numerical model

    The removal of total nitrogen in wastewater treatment plants (WWTPs) is often unsatisfactory for a variety of reasons. One possible measure to improve nitrogen removal is the addition of external carbon. However, the amount of carbon addition is directly related to WWTP operation costs, highlighting the importance of accurately determining the amount of external carbon required. The objective ...


    By IWA Publishing

  • Real-time data in the wild

    Background The South African water resource (DWAF) monitoring network belongs to one of the well organized and managed networks world-wide. Well prepared and maintained measurement sites & stations deliver the data base for the water management in the huge territory of South Africa. One main issue of the online data availability is the data transfer from remote stations to the data ...


    By The OTT Hydromet Group

  • Data analytics methodology for monitoring quality sensors and events in the Barcelona drinking water network

    Water quality management is a key area to guarantee drinking water safety to users. This task is based on disinfection techniques, such as chlorination, applied to the drinking water network to prevent the growth of microorganisms present in the water. The continuous monitoring of water quality parameters is fundamental to assess the sanitary conditions of the drinking water and to detect ...


    By IWA Publishing

  • Wireless Real-Time Soil Data from Stevens Hydra Probe Soil Sensors Used In Contaminated Soil Cleanup Operation

    Up until the early 1970s when The US Congress passed The Clean Water Act, industrial chemicals and petroleum products were routinely dumped onto the ground or poured down wells. In those days, few people understood groundwater hydrology, and disposing of chemical waste underground seemed like a safe and easy solution. Depending on the chemistry, underground pollution can linger for centuries, ...

  • Hydrometric Network Data Management

    A key part of HL's contract with Dwr Cymru Welsh Water to install, operate and maintain a large network of telemetred reservoir level and compensation flow gauges, a suite of HL's software packages was also supplied to each of the three operational areas for managing time-series data and processing stage-discharge data into a long-term flow record archive. HL's HydroLog4 and Gauger 2 packages ...

  • Data analytics and the materials cycle

    Data has the potential to revolutionise the materials industry, from extraction to processing to commercialisation. But it can only do so with the right mix of technology, skills and strategy. Dr Matt Jones explains. Using data is nothing new, but the rapid increase in data sources and quantity of data collected means getting the most out of it is ever more important. Properly used, data ...

  • Compost Data Tracking And Analysis

    From tip fee invoice tracking to process control to compost product sampling, information gathering, analysis and reporting are key to successful facility operations.   COMPOSTING is a highly regulated component ...


    By BioCycle Magazine

  • Intrinsically safe ultrasonic wind sensor

    The Gill Instruments Intrinsically Safe WindObserver™ is an ultrasonic wind sensor, developed specifically for use in hazardous areas and in particular for offshore applications. The sensor has no moving parts, utilising Gill Instruments’ advanced ultrasonic measurement technology to accurately monitor wind speed and direction. Approved to EEx ia IIC T5, this ultrasonic wind sensor is a ...


    By Gill Instruments Limited

  • Fundamentals of Multi-Sensor Separation Systems

    This paper gives an overview of the research at the Delft University of Technology in the field of automatic quality control and sorting systems, which are applied for solid bulk materials in the recycling industry. From theory it is known that a simultaneous detection of several features with sensors of different detection principles improves the quality of the classification dramatically. ...

  • Sensors & Automation to Simplify Bioprocess Operations

    Utilising sensors & automation to simplify bioprocess operations means that more work can be done in less time. By automating the routine tasks carried out in the lab, valuable time can be devoted to more important tasks. Here are two practical examples of automating routine tasks in upstream and downstream bioprocessing with relatively simple instrumentation. Automated ...


    By Broadley-James Ltd

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