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  • On-line monitoring of silt in hydro-power plants | Sequoia Scientific
    sensors for this application On line monitoring of silt in hydro power plants is a reality using Sequoia s LISST Infinite or LISST Hydro instruments designed specifically for this purpose The LISST Infinite and LISST Hydro measures the concentration as well as the size distribution of silt passing through the turbines and warns the operator if the concentration approaches a level that would be dangerous and cause abrasion of the turbines Read the entire article published in Water Power Dam Construction s newsletter in June 2012 In July 2015 we have introduced a less accurate but significantly less expensive instrument the LISST ABS It offers a single estimate of suspended sediments The measurement is heavily weighted for the dangerous coarse grains See here for more details More in Library Library Articles Technical Papers Standards Our Newsletter Sign up to get the latest news on Sequoia and our products Home Products Product Overview LISST Instruments LISST 100X LISST ABS LISST Portable XR LISST Holo LISST Deep LISST StreamSide LISST STX LISST Hydro LISST Infinite LISST VSF LISST STOKES Optical VSF Sensors LISST SL LISST 25X FlowControl Instruments FlowControl Lab FlowControl Sub Radiative Transfer Models EcoLight S HydroLight Accessories How to Buy

    Original URL path: http://www.sequoiasci.com/article/real-time-monitoring-of-sediments/ (2016-02-13)
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  • LISST-Portable|XR Videos | Sequoia Scientific
    Home Products LISST Portable XR Videos LISST Portable XR Videos Below is a series of videos we have created to provide helpful information on the operation of the LISST Portable XR Particle Size Analyzer We will be creating more videos and add them as they are finished Check back often to see what is new We welcome your comments If you have a suggestion for a video that you think will be helpful please let us know Getting a Measurement In this video we walk the operator through the procedure for getting a measurement using the controls on the touch screen Intro to the Main Menu A introduction to how the Main Menu can be used to access the settings and features of the LISST Portable XR Filling the sample chamber of the LISST Portable XR Some tips and tricks on filling the sample chamber and introducing a sample to the LISST Portable XR Using the Excel Template for LISST Portable XR An introduction on how to use the Excel template to display the LISST Portable XR results in a report format More in Products Products LISST Portable XR Videos LISST Portable XR Videos Accessories How to Buy Request a Quote Request Submitted Terms Of Sale Our Newsletter Sign up to get the latest news on Sequoia and our products Home Products Product Overview LISST Instruments LISST 100X LISST ABS LISST Portable XR LISST Holo LISST Deep LISST StreamSide LISST STX LISST Hydro LISST Infinite LISST VSF LISST STOKES Optical VSF Sensors LISST SL LISST 25X FlowControl Instruments FlowControl Lab FlowControl Sub Radiative Transfer Models EcoLight S HydroLight Accessories How to Buy Request a Quote Terms Of Sale Support FAQ Downloads Warranty Info Installation Requirements Responsibilities Warranty Register a Product Returns Contact Support Library Articles Technical Papers Standards About Staff

    Original URL path: http://www.sequoiasci.com/products/lisst-portable-xr-videos-2/ (2016-02-13)
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  • Processing LISST-StreamSide and LISST-Portable data in MATLAB | Sequoia Scientific
    concentration of particles in the different size classes This step calls the proprietary routine nlia dll or nlia p and is computed as follows volume dist i 1 32 invert c scat i instrument type ST RANDOM SHARPEN GREEN WAITBARSHOW Vcc 5 From the volume distribution for the ith size class above the total concentration is computed by simple summation The variable Vcc in Eq 5 is the Volume Conversion Constant This is a calibration constant provided with the instrument and can be found in the LOG file of the LISST StreamSide Note that Sequoia leaves it to the user to convert volume concentration to mass This is because the LISST StreamSide instrument does not measure mass density for this purpose the LISST STX may be used Mass density can vary from 1 01 for extremely light biological type particles to 2 65 for sand and clay type materials The user should consult published scientific literature for the appropriate density applicable to your case II SOFTWARE FUNCTIONS Sequoia provides MATLAB scripts that can be used to view the zscat data from the LISST StreamSide as well as process the raw scattering data into size distribution if the user wish to do so Below these functionalities are described in more detail II 1 Using the invert p processing file You will need the following files from Sequoia getscat lp lss m tt2mat m invert p vdcorr m and compute mean m which you can download as a ZIP archive Place them all in your MATLAB working folder The first step is to convert the binary DAT file with scattering data into corrected scattering data cscat This is accomplished using getscat m scat tau zsc data cscat r getscat lp lss datafile readfile instrument type datafile is the path and file name for the binary DAT file offloaded from your LISST StreamSide or LISST Portable readfile has a value of 0 or 1 Set it to 1 to indicate that you are going to read a file instrument type is the instrument type Set it to 2 for a type B instrument 1 25 250µm or 3 for a type C instrument 2 5 500µm All LISST StreamSide s are type C instruments getscat lp lss m calls the routine tt2mat m in order to read and convert your raw data to corrected scattering data Once that is done you can proceed with calling invert p which is a MATLAB function that returns the uncalibrated volume distribution and the midpoint of the size bins in µm The general syntax is as follows vd dias invert cscat instrument type ST RANDOM SHARPEN GREEN WAITBARSHOW where cscat is the fully corrected scattering data in n x 32 format obtained using getscat m instrument type is 2 for type B 1 25 250 µm size range 3 for type C 2 5 500 µm size range ST 1 if the data are to be inverted in LISST ST format 8 size bins ST 0 if the data are to be inverted in LISST StreamSide LISST Portable format 32 size bins RANDOM 1 if matrices based on scattering from randomly shaped particles are to be used for inversion RANDOM 0 if matrices based on scattering from spherical particles are to be used for inversion SHARPEN 1 causes the routine to check if the size distribution is narrow and if so increases the number of inversions Use this setting if you expect a narrow size distribution e g if you are analyzing narrow size standard particles GREEN should always be set to 0 for LISST Portable and LISST StreamSide instruments It is for use with special versions of the LISST 100X WAITBARSHOW 1 if user wants a waitbar to show during processing in order to keep track of progress Outputs are vd volume distribution NOT CALIBRATED WITH VCC dias the midpoint of the size bins for the 32 size classes for the appropriate inversion type In order to convert the volume distribution into calibrated units you must divide vd by the Volume Conversion Constant VCC which can be found in the LOG file of your LISST StreamSide and LISST Portable You also need the factory laser reference value which can also be found in the LOG file The syntax for converting vd to calibrated vd is vd vdcorr vd VCC flref lref where vd is the vd from invert p VCC is the Volume Conversion Constant for your instrument flref is the factory laser reference value for you instrument lref is the laser reference value during measurement For LISST Portable and LISST StreamSide it is element 36 in the DAT file The power of these functions are that they process all data at once producing the volume distribution for the entire data file Once done you can proceed with plotting your results The weakness of this function is that the user does not see intermediate results The invert p processing script assumes that the data and background files are perfect Often this is the case However scientists are always well advised to look at their data in detail For this several functions are provided that do partial processing These are described next II 2 Using Matlab functions for detailed processing Loading your files The most basic function is tt2mat m It reads a binary file background file or data file dat extension It is not suitable for ASCII files To use data tt2mat datafilename 80 or in the case of zscat file from the LISST StreamSide zsc tt2mat zscatfilename 40 Viewing the raw data files These functions permit you to look at the details of your data For example you may look at the time series of the background file Viewing can be done by typing plot zsc 1 32 or plot zsc 1 32 The first of these would display a time series of all 32 ring detectors the latter will show all the records as backgrounds across the 32 rings In the time series spikes

    Original URL path: http://www.sequoiasci.com/article/processing-lisst-streamside-and-lisst-portable-data-in-matlab/ (2016-02-13)
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  • New Advances In Measuring Cement Powders | Sequoia Scientific
    made that enables the computation of matrices for non spherical but regular geometrical shapes and even irregular shapes but with limitations from computational complexity Very few particles resulting from natural or industrial process are spheres or regular Grinding and milling typically produces particles of a general random shape with numerous pits and edges on their surfaces Consequently the diffraction pattern arising from these natural random shaped particles can be expected to be different from spheres Since it is not theoretically possible today to properly model the scattering from random shaped particles we have taken an empirical approach and determined the corresponding kernel matrix K We have used this empirical matrix to study how the retrieval of the PSD of random shaped natural sediment particles is affected by the implicit assumption that the scattering particles are spherical which is the current industry standard To construct our empirical kernel matrix K we used our LISST Laser In Situ Scattering and Transmissometry laser technology to measure the scattering pattern from a range of random shaped particles pre sorted into sieve size bins that were equivalent to the 32 size bins covered by the LISST Portable instrument 2 5 500 µm for the instrument used here We then compared these scattering patterns to those from spherical particles with the same sieve size Sieving is only possible for particles larger than approximately 16 µm so in order to separate smaller particles into size bins all the way down to 2 5 µm we used a density stratified settling column of known viscosity Stratification kills all turbulence in the column and ensures that the particles settle without being affected by convection currents in the column Thus combining sieving and settling techniques an empirical kernel matrix K was constructed that when used to invert observed scattering yields size distribution of random shaped particles To illustrate the differences between scattering by spheres and random shaped particles Figure 2 shows comparisons of scattering patterns from spherical and random shaped particles in two narrow size ranges 25 32 µm and 75 90 µm It can be seen that the peak of the scattering intensity of the random shaped particles is displaced one to two detector bins to the left relative to the spherical particles Because shifting of diffraction pattern to the left implies larger size this means that the random shaped particles with a sieve size equal to that of spherical particles appear as if they are one size bin 18 coarser than they actually are Figure 2 Measured scattering from spheres and random shaped particles both with a sieve size of 25 32 µm left or 75 90 µm right The implications for this are that when a laser diffraction measurement is processed and it is assumed during processing that the particles are spherical the resulting size distribution becomes too coarse by approximately one or two size bin which is 18 36 for the LISST instruments In other words shape effect alone implies that non spherical particles such as

    Original URL path: http://www.sequoiasci.com/article/new-advances-in-measuring-cement-powders/ (2016-02-13)
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  • New Version of LISST-Holo Software Released on Sequoia’s Website | Sequoia Scientific
    programs used for interpreting holographic data collected with the LISST Holo Highlights of the new release include faster processing time new data visualization and a version for Mac OS X Visit the LISST Holo page and navigate to Software Downloads to get your copy More information on what s new in the software can be found here What s New in Holo Batch New features have also been added to the Holo Detail application Holo Detail which is used for detailed analysis of individual holograms now contains a tool for quick and easy measurement of particles Also be sure to watch our video tutorial on how to use Holo Batch This video covers installation and basic use of the Holo Batch software More in About About Suspended Sediment Concentration and Particle Sizing Methods Course Staff News PiE Conference 2014 PiE Conference 2014 Customer List Newsletter Contact International Distributors Categories General News Press Releases Our Newsletter Sign up to get the latest news on Sequoia and our products Home Products Product Overview LISST Instruments LISST 100X LISST ABS LISST Portable XR LISST Holo LISST Deep LISST StreamSide LISST STX LISST Hydro LISST Infinite LISST VSF LISST STOKES Optical VSF Sensors LISST

    Original URL path: http://www.sequoiasci.com/about/news/new-version-of-lisst-holo-software-released-on-sequoias-website/ (2016-02-13)
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    Original URL path: /wp-content/uploads/2013/07/HoloBatch_x64.html (2016-02-13)




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    Original URL path: /wp-content/uploads/2013/07/HoloBatch_x32.html (2016-02-13)




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    Original URL path: /wp-content/uploads/2013/07/HoloBatch_OSX.html (2016-02-13)




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