CEMENT IDENTIFICATION METHOD USING X-RAY FLUORESCENCE ANALYSIS AND X-RAY DIFFRACTION ANALYSIS

One of the present invention: an embodiment the method of persimmon of the cement, including cement (a) combustion system therein having the step of pretreatment sample object ; (b) said pre-processed object to the, based on components of qualitative and quantitative of collecting data X-ray fluorescence analysis (X-ray Fluorescence; XRF) viewing transform, acquisition qualitative and quantitative data classification component basis indications of sample is estimated among the predictor sets a principal components analysis (Principal Component Analysis; PCA) (phase) phase analysis a composition is performed, diffraction patterndiffraction analysis -ray X of collecting data (X-ray Diffraction; XRD), in which crosstalk is suppressed for analyzing pattern of phase, and phase analysis mixed is performed both, which selected from the group consisting of phase one analyte sample and the bag-like is performed step are collected data; and, (c) said bacterium obtained by the phase performed a subject sample of data and the integrates between data library, bioequivalence is determined whether the message satisfies conditions the, object contained in the sample of the cement fired combustion system therein having the step information is outputted; includes.

Said library a, X-ray fluorescence analysis by cement of analytes qualitative and quantitative of components and data, X-ray in diffraction analysisdiffraction pattern by cement of analytes can include a data, said data component basis indications of sample of objects is estimated among the predictor sets classification by principal component analysis can be stored.

The method for constructing an said library, cement sample-temperature storage for qualitative and quantitative of collecting data X-ray fluorescence analysis (X-ray Fluorescence; XRF) is carried out in at; cement sample diffraction pattern of collecting data for X-ray diffraction analysis (X-ray Diffraction; XRD) is carried out in at; and principal components analysis is estimated among the predictor sets (Principal Component Analysis; PCA) is performed on the, component basis indications of sample object, said data group qualitative and quantitative of components, or said data group diffraction pattern , two groups or are each, said data group are divided are multiplexe d and stored combustion system therein having the step of; may comprise an.

In said step (b), diffraction patterndiffraction analysis -ray X of collecting data a phase performed, diffraction pattern collected sample data a classification component basis indications of principal components analysis is further performed is estimated among the predictor sets can be from phase..

Said step (d) of coequal reactive conditions whether the stored cmqs are satisfactory, a, peak diffraction pattern whether analogs value theta 2 expressing, whether similar data qualitative and quantitative, principal components analysis is estimated among the predictor sets both of data distributions on graph in whether analogs position and combinations thereof more absorbents selected from the group consisting of so judged by the one condition may be to..

Said object sample with the data on bioequivalence in library if no data is condition is satisfied, said object sample data within the library may be stored in.

A library said cement of two 14 to 1 for X-ray fluorescence analysis and X-ray in diffraction analysis may comprise an for the data read by the data.

Said step (a) mixing sample object including pretreatment of the cement pellet type and ground to which can be manufactured in type or bricks in can be.

Said library qualitative and quantitative data, the cell number for 1 to 12 can be subdivided into.

diffraction pattern data of said library, diffraction pattern data base of the cement on the reference data, said reference data and the other diffraction pattern that the indicative of the cell number for 2 to 10 can be subdivided into.

Said base cement Portland cement (Potlandite cement) can be.

Said X-ray fluorescence analysis and X-ray diffraction analysis -laden water obtained from the data 1 to 5 times of the average value is used. may be.

The principal component analysis is estimated among the predictor sets said be 2 or more times.

Said X-ray fluorescence analysis-laden water obtained from the qualitative and quantitative data silica (SiO₂), aluminum oxide (Al₂ O₃), iron oxide (Fe₂ O₃), lime (CaO), magnesium oxide (MgO), trioxide (SO₃), oxide potassium (K₂ O), manganese oxide (MnO), titanium dioxide (TiO₂), oxide sodium (Na₂ O), are pentoxide (P₂ O₅), sodium peroxide (Na₂ O₃), calcium sulfate (CaSO₄), calcium carbonate (CaCO₃), calcium hydroxide (Ca (OH)₂), [...] (Ye`elimite, Ca₃ Al₆ O₁₂, CaSO₄), brownmillerite (Brown millerite, Ca (AlFe³⁺) 8 880000047888 O₅), controlled release fertilizer, thereby reduces the olivine (Forsterite, mg₂ SiO₄), loss tight (Rostite, Al (SO₄) (OH), 5H₂ O), abietic [...] (Ettringite, Ca₆ Al₂ (SO₄)₃ (OH)₁₂, 6H₂ O), three calciums silicate (3CaO, SiO₂) compound, this calcium silicate (2CaO, SiO₂) compound, calcium aluminate (3CaO, Al₂ O₃) compound, calcium steel preproducts nor aluminate (4CaO, Al₂ O₃, Fe₂ O₃) compound, gypsum (CaSO₄, 2H₂ O), oxide (calcium magnesium aluminum) (Calcium Magnesium Aluminum Oxide Silicate) silicate, calcium oxide iron (Calcium Iron Oxide, Ca₄ Fe₉ O₁₇) and combinations thereof one selected from the group consisting of whether inclusion of and an effective component contains data on and concentration can be.

CaO and said indicator component SiO₂ including a. may be.

Modification of the present invention refers to various variety of forms that can apply may have a low bar, in the embodiment illustrated herein, and specific drawing are rapidly and to reduce a memory.. However, the present invention with a particular disclosure of the physical shape not defined to be, included within the scope of the present invention all changing a concept and techniques, including replacement water and equalization should understood. Various elements a set of terms, such as number 1, number 2 describes which may be used; however, said components are said terms is don't is defined by. Said terms are components of one an object from other components is carried out by using an acidulous only. For example, rights of the present invention without a wireless type through a wire number 1 number 2 component can be designated components, similarly number 2 number 1 component elements can be designated.

The present specification "comprising" or used in a set of terms, such as ". having" a, specification to the features, number, step, components or a combination of these is designates the feature to which is present does, number to execute another aspect of one or more, step, components or a combination of these pre possibility or additionally presence of the not clearing the film.

The present specification used in representation and a plurality of short-lived in particular material, number not representation to be limiting, or referring to one of certain materials, specific, which is made of a material refers to one group may be to..

Other is not defined, technical or scientific for a term including to the all terms are person with skill in the art in the present invention is in the field of the upwardly urged by equivalent to those that would have been understood have the meanings of wet liquid to flow down.

The present invention refers to method of persimmon of the cement which provides classified into items, persimmon of the cement hereinafter in. as further described with respect to method.

One of the present invention: an embodiment the method of persimmon of the cement, including cement (a) combustion system therein having the step of pretreatment sample object ; (b) X-ray fluorescence analysis, X-ray diffraction analysis and subject by principal components analysis is estimated among the predictor sets are collected data sample step ; (c) with data stored in the library bioequivalence of the cement by comparison conditions combustion system therein having the step of information is outputted; includes.

Said step (a) has cement to a sample object including data collection and performed later so as to be appropriate for the information analysis can be is pretreatment. Pretreatment said mixing sample object including cement pellet type and ground to which can be manufactured in type or bricks in can be.

Said object for mixing and sample, grinding object with the help of such a contained in the sample is uniformly distributed sample cements by, X-ray fluorescence analysis and X-ray diffraction analysis in minimum for penetration hole while moving up and down. Said approximately a size that for comminuting sample object 500 recognizes the micro m, if size of it, may be free of risk of explosion by dust, object contained in the sample cement of components ensuring uniformity of the size of the maximum can be.

Furthermore, the shape of the sample object pellet type or bricks in which may be, into are not limited to, extracts of Barks of, said pellet type or bricks in type is exemplified to prime X-ray fluorescence analysis and X-ray in diffraction analysis easy whereupon the shuttle may be shaped in the shape of, said form of sample object is analyzed and adjusts the affecting, in addition analysing equipment can easily and effectively affect a human form on the condition and analysis, can be modified.

Said step (b) the X-ray fluorescence analysis, X-ray diffraction analysis principal components analysis is estimated among the predictor sets and data sample subject can be a step of collecting,. Wherein, is addition, the height of principal components analysis is estimated among the predictor sets, data among liquid extract has main constituent, each axial is closed by the, 2 dimensional or 3 said data by arranging a to dimension, each data representing cements, involved in the same sources according to content of components where or, any kind a place or which noise is eliminated in the data can be a classification method.

Step (b) in the to said pre-processed object, comprising a combination method analysis phase analysis, i.e. X-ray fluorescence analysis and combination of principal component analysis is performed is estimated among the predictor sets a composition analysis phase, X-ray diffraction analysis performed phase analysis a combination of phase and for analyzing pattern of selected from the group consisting of phase one analyte which can be is performed. Wherein, phase (phase) addition, the height of, any material is supported by the upper case and speak state of, general outline of sub-the term step can be used.

Number 1 X-ray fluorescence analysis and a phase is estimated among the predictor sets comprising a combination of principal component analysis can be phase analysis composition. I.e., qualitative and quantitative of components for obtaining data X-ray fluorescence analysis (X-ray Fluorescence; XRF) and, for the qualitative and quantitative data classification component basis indications of sample is estimated among the predictor sets a principal components analysis (Principal Component Analysis; PCA) is performed on the data can be collecting a.

Said number 1 phase obtained by the data a subject contained in the sample form a cement included in of components in (qualitative data) and concentration (quantitative data) which, essentially having few to ten component cement since may be, multivariate statistical analysis through principal component analysis is estimated among the predictor sets said legal entity qualitative and quantitative classification data may preferably. X-ray fluorescence analysis, in which crosstalk is suppressed is estimated among the predictor sets would be by combining principal component analysis, to large amounts of data classification the data collecting a games can be.

Number 2 a phase for obtaining data X-ray diffraction analysisdiffraction pattern (X-ray Diffraction; XRD) is performed and may be to, the components included in the packages include sample a subject is unique in diffraction pattern it is possible, for. Art most widely used Portland cements X-ray diffraction analysis may be cement base, the base cement data for the criteria are can be, the reference data about 2-theta error value a peak data for the line cement locates the classification data can be collecting a.

Number 3 statistical analysis multivariate boost converter further includes a phase is estimated among the predictor sets said number 2 legal entity further principal component analysis may be the phase combination, in said number 2 generates a large amount of the data generated by the classification of data from the multiplexer is when, said classification component basis an indication data diffraction pattern a principal components analysis is estimated among the predictor sets data further performs can be collecting a.

Number 4 mixing phase as a phase number 1, number 2 and phase number 1 can be phase analysis mixed phase. I.e., cement-temperature storage to object including qualitative and quantitative fluorescence analysis-ray X data after prepared, principal components analysis is estimated among the predictor sets same collects data classification in, is independent of X-ray diffraction analysisdiffraction pattern data through can be collecting a.

Number 5 mixing phase as a phase number 2, number 3 and number 1 phase can be phase analysis mixed phase. Said number 4 in a X-ray in diffraction analysis of registration, the data collected by data classification in principal component analysis can be collecting a.

Object the gathering of data to phase number 5 to phase said number 1 more absorbents selected from phase one analyte is accomplished by performing, , each phase to X-ray fluorescence analysis and X-ray diffraction analysis of the antenna in case that the combination, the two regardless time-sequential analysis of the can be carried out independently from each other, is obtained in a step-independent of each other, and an also data can be effected.

At that time, phase number 5 to phase said number 1 phase one analyte in to a user selecting, special which is no constraints, on which data is obtain from a sample object low than or can be selected and according to, which the phase for performing any sample object even to being, when ambiguous whether cement selected phase first level of the control signal is capable of collecting data with less an inner space or receptacle to receive which, initially large amount of data and insulating layer is formed on the first phase signal capable of collecting.. I.e., persimmon a phase or discerning situation appropriately enabling the conditions can be selected.

Persimmon a cement the vender identification information included in the present invention, and use by includes the components to be or can be contents, through a combination of analysis method of collecting data which may preferably, said number 1 phase to number 5 phase more absorbents selected from persimmon in cement performing phase one analyte of material layer 3 is derived from a the vender identification information included, and, use different by. capable of collecting data with less of the cement.

the step (b) said step (c) in a analysis made on a subject collected sample of data and the, between data library integrates, bioequivalence is determined whether the message satisfies conditions the, object contained in the sample of the cement information is outputted can be fired combustion system therein having the step.

Said data collected in a analysis, e.g., object-temperature storage to qualitative data (i.e., whether any included in these), quantitative relations of components configured data (i.e., any material to some extent whether in an amount of from at), and whether content inclusion of such components the main component is based on component is estimated among the predictor sets an index indicating the principal components analysis displaying a correct posture and a posture to thereby be appropriate classification data, and, object to diffraction pattern data (i.e., components inclusion of whether and concentration depending on the different peak expressing value theta 2) can be.

Information object contained in the sample of the cement, said analysis and the data collected by boost converter further includes, integrates library by comparing the data contained in the bioequivalence it is judged whether conditions are met, outputting an result to the computer of the can be.

Bioequivalence conditions said, or whether similar between data, such as match by judging the material whether of the identity of each data is extracted may be determining the, bioequivalence a whether the stored cmqs are satisfactory, conditions in the present invention, for example, peak diffraction pattern whether analogs value theta 2 expressing, whether similar data qualitative and quantitative, in principal component analysis is estimated among the predictor sets 2 dimensional or 3-dimensional graphs for a position distributed with data on whether analogs, or a combination of these optimal matching of whether. can be determined by or the like.

Specific conditions are complete if a desired thickness of, data of the cement does not have any the consistent data can be extracted directly from library whether but, even as otherwise, said analysis phases analysis process, various, and can have large amounts of data since, those frames that are the most for comparing and analyzing them a similar data resistor having can be and outputs information for recording of the cement.

Said library a, X-ray fluorescence analysis by cement of analytes qualitative and quantitative of components and data, X-ray in diffraction analysisdiffraction pattern by cement of analytes can include a data, said data of objects is estimated among the predictor sets component basis indications of sample principal component analysis by stored classification it is possible,.

Said state constructing original library, cement board is provided to conveniently put parts, and digging the middle portion 14 to parts, and digging the middle portion 1 contains data on can be if the. E.g., parts, and digging the middle portion 8 for sealing semiconductor elements and semiconductor device yarn both sliced raw fishssangyong (Portland cement, load heat Portland cement, bar steel Portland cement, low thermal Portland cement, rapid set cement, pul steel cement, blast furnace slag cement and snow cement) may be included is, formed with a thick parts, and digging the middle portion 3 cement cement resignation , [...]grudgecement resignation cement 3 parts, and digging the middle portion (Portland cement, cement and blast furnace slag from cement snow) for qualitative and quantitative classification is estimated among the predictor sets data file and in principal component analysis, diffraction pattern data, and in principal component analysis is estimated among the predictor sets diffraction pattern data contains data the classification may be proposed.

However, said is data contained in the library or the type of cement are not limited to use, as well as Company station, oversea Company checks whether information about the a cement produced in a may also include a and, additionally prepared use cement cellular layer is other than for information includes in addition may be proposed.

Furthermore, said object sample with the data on bioequivalence in library if no data is condition is satisfied, said object sample data within the library may be stored in. Is the original library contains information about cement in no can, simultaneously performing persimmon of the cement data contained in the library for increasing the quantity of one expedient can be performed. I.e., object contains cement any sample the analysis reset and it is sensed, as lane, such cement data is disposed on the substrate of persimmon accurately cement based so that they may the recording operation. random access memory.

For example, when industrial products cements, included in these trace specific 1% hereinafter can be the, such trace element wrtus unknown sample to accurately recognize whether any cement which cannot, for the analysis can be increased at least items, use can be made of, as effective ingredient.

The method for constructing an said library, similar to method a persimmon cement may be performed in a method, for providing rapid output information of persimmon of the cement may be carried out by fixing the but, library of an accurate information and a volume of information for securing a priority, an can be in that.

Specifically, the design of library, cement sample-temperature storage for qualitative and quantitative for obtaining data X-ray fluorescence analysis (X-ray Fluorescence; XRF) analysis steps fluorescent is performed; for sample cement diffraction pattern for obtaining data X-ray diffraction analysisdiffraction analysis phase (X-ray Diffraction; XRD), in which crosstalk is suppressed; and principal components analysis is estimated among the predictor sets (Principal Component Analysis; PCA) is performed on the, component basis indications of sample object, said data group qualitative and quantitative of components, or said data group diffraction pattern , two groups or are each, said stored are divided data group classification step; can be performed involving a.

Said fluorescent analysis steps and diffraction analysis phase the aforementioned analysis as those performed in a can be performed by supplying a verifying voltage to. Just, persimmon said method the phase together with the inputted according to the selection of the X-ray fluorescence analysis only performed may be, X-ray diffraction analysis but may be only performed, when build a library as possible all analysis cement ensuring data on since is, the analysis of the two it is preferable that the performed both. Furthermore, the two can be performed with any type of time-sequential step but, regardless of the time-sequential be independently.

Said classification step principal components analysis is estimated among the predictor sets diffraction analysis and/or fluorescence analysis through obtained by the data a as a step in classification to games, fluorescence analysis obtained with only for data can be further performs, diffraction analysis obtained with only for data may be performed in a further, fluorescence analysis and diffraction analysis obtained with further performs for both data can be. Just, fluorescence analysis obtained with significantly the amount data and circumstances of the applications, of the insertion part and the complex by, further performs principal components analysis is estimated among the predictor sets it is preferable that the.

Thus classification data, X-ray fluorescence analysis by qualitative and quantitative data 12-1 having been subdivided into data group may be, by X-ray in diffraction analysisdiffraction patterndiffraction pattern data of the cement base data on the reference data, said reference data and the other diffraction pattern that the 10 to 2 indicative of having been subdivided into the cell number for may be, said base cement, cement normally art in tube as referred to as to sizes to be widely used Portland cement (Potlandite cement) can be.

Said X-ray fluorescence analysis by qualitative and quantitative number of a communication network and downloads one a classification of data and use destination number is associated with the number of group data classification can be determined, and, said 1 to 12 of library data group number data group its initial state, a communication network and downloads one cement i.e. 4 destination use of the cement yarns; number 3 facing forwards in the product of two number can be. Furthermore, by said X-ray in diffraction analysisdiffraction pattern data interface processor of the classification of a characteristic value is theta 2 represent to number of peaks, said base cement and other 2 theta has a peak distinguish between a. may be grouping.

Fluorescence analysis step step, the BSD, classification and diffraction analysis phase encrypt data to be stored on the library portion of the poly contact a, X-ray fluorescence analysis obtained from of components in qualitative and quantitative data may comprise, e.g., silica (SiO₂), aluminum oxide (Al₂ O₃), iron oxide (Fe₂ O₃), lime (CaO), magnesium oxide (MgO), trioxide (SO₃), oxide potassium (K₂ O), manganese oxide (MnO), titanium dioxide (TiO₂), oxide sodium (Na₂ O), are pentoxide (P₂ O₅), sodium peroxide (Na₂ O₃), calcium sulfate (CaSO₄), calcium carbonate (CaCO₃), calcium hydroxide (Ca (OH)₂), [...] (Ye`elimite, Ca₃ Al 888000 0090888 O₁₂, CaSO₄), brownmillerite (Brown millerite, Ca (AlFe³⁺)₂ O₅), controlled release fertilizer, thereby reduces the olivine (Forsterite, mg₂ SiO₄), loss tight (Rostite, Al (SO₄) (OH), 5H₂ O), abietic [...] (Ettringite, Ca₆ Al₂ (SO₄)₃ (OH)₁₂, 6H₂ O), three calciums silicate (3CaO, SiO₂) compound, this calcium silicate (2CaO, SiO₂) compound, calcium aluminate (3CaO, Al₂ O₃) compound, calcium steel preproducts nor aluminate (4CaO, Al₂ O₃, Fe₂ O₃) 8 880000239888 compound, gypsum (CaSO₄, 2H₂ O), oxide (calcium magnesium aluminum) (Calcium Magnesium Aluminum Oxide Silicate) silicate, calcium oxide iron (Calcium Iron Oxide, Ca₄ Fe₉ O₁₇) or combinations thereof whether inclusion of data and concentration can be.

Said method and/or library of persimmon of the cement in method for constructing, principal components analysis is estimated among the predictor sets an index component constituting the supporting element by a screw and a CaO and SiO₂ may comprise an. Said CaO and SiO₂ has majority of the material as the cement, which includes as a major constituent, about 30% the inclusion is released thereby, an index is a simple filtering net consists can be.

Said method and/or library of persimmon of the cement in method for constructing, said X-ray fluorescence analysis and X-ray diffraction analysis -laden water obtained from the data even from an measuring times 1 a non-intrusive although it is possible, 2 or more times, preferably 5 or more times of the average value can be used and, said principal components analysis is estimated among the predictor sets during the address a vehicle includes a, plurality of data including once again able to for the group principal components analysis is estimated among the predictor sets can be performing the complex division and the dual. Persimmon of enhancing the accuracy of the cement in a chamber in which, the correct is subdivided than contains information for constructing a the library can.