System and method for identifying and distinguishing materials, method for identifying or distinguishing materials, and measuring device for recording material properties of materials

• US 10,393,711 B2
• Filed: 01/09/2015
• Issued: 08/27/2019
• Est. Priority Date: 07/09/2012
• Status: Expired due to Fees

• Current Assignee: Maschinenfabrik Reinhausen GmbH (Richard Scheubeck Beteiligungs-Gmbh & Co. KG)
• Original Assignee: Maschinenfabrik Reinhausen GmbH (Richard Scheubeck Beteiligungs-Gmbh & Co. KG)
• Inventors: Nettesheim, Stefan
• Primary Examiner(s): Charioui, Mohamed
• Assistant Examiner(s): Rastovski, Catherine T.
• Application Number:
  US14/593,016
• Publication Number:
  US 20150120213A1
• Time in Patent Office: 1,691 Days
• CPC Class Codes: G01N 2035/00653 statistical methods comparing labs or apparatuses
• CPC Class Codes: G01N 2035/00881 network configurations
• CPC Class Codes: G01N 27/04 by investigating resistance
• CPC Class Codes: G01N 33/00 Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
• CPC Class Codes: G01N 33/0091 Powders
• CPC Class Codes: G01N 35/00871 Communications between instruments or with remote terminals

Abstract

A system for identifying or distinguishing materials, comprising at least one local apparatus and a central station. Each local apparatus comprises at least one measuring device for recording at least one actual signature for materials each and at least one local computer communicatively connected to the at least one measuring device, the at least one local computer having a local database for storing and/or processing the actual signature. The at least one central station comprises a server having a central database for storing and/or processing the actual signatures of the local apparatus. Furthermore, the system comprises a network, which communicatively connects the local computers of the local units via the server of the center. The invention further relates to a corresponding method for operating a system, to an analysis method for identifying or distinguishing the materials, and to a measuring device for recording material properties of the materials.

Claims

1. A method for identifying or discriminating materials with a system having at least one local unit, with each local unit having at least one measuring device for detecting at least one respective actual signature for the materials, the method comprising the steps of:

acquiring the actual signature among a first quantity k of different measured values of a to be determined material by at least one user of a local unit of the system;

providing a request of the at least one user to an operator of a center of the system, wherein with the request is the actual signature transmitted;

storing the actual signature, provided by the at least one user, in non-volatile memory on a server of the center;

creating a derived target signature from each of a plurality of correlations of at least one target material to the actual signature, wherein the plurality of correlations relate to an extended signature of the target material and wherein the extended signature consists of a second quantity n of different measured values and the second quantity n is greater than or equal to the first quantity k;

calculating a deviation of each of the actual signatures for the material from the derived target signature for the at least one target material; and

,

reporting to the requesting user, for which target materials the respective deviation of the to be determined material, based on the at least one target material, is less than one for a target material defined tolerance.

2. The method of claim 1, wherein the actual signature is completed by metadata of the at least one user and/or to the operator.

3. The method of claim 2, wherein the metadata comprises a test report of at least the respective deviation and/or a certificate of the quality of the material and/or the measured actual signatures.

4. The method of claim 2, wherein for each user for at least one target material, the associated correlation and the associated derived target signature are optimized according to a combination of optimization criteria with associated weights, wherein the weights are modified based on metadata.

5. The method of claim 2, wherein the at least one user evaluates on the reporting of the operator the correct identification or discrimination of the material and reports a result of an evaluation back as metadata to the operator.

6. The method of claim 5, wherein the operator and/or a user on the basis of the metadata and/or the actual signatures:

extends the actual signatures with measurement values detected by additional measurement methods and optimizes the derived target signatures and correlations for at least one target material;

or,

stores the to be determined material in a local database and/or in a central database as a new target material.

7. A method for identifying or discriminating of materials, comprising the steps of:

selecting I measurement methods from m different measurement methods, wherein the number I is less or equal to m measurement methods;

measuring an actual signature of a material by means of a measuring device for executing the I different measurement methods;

generating a derived actual signature for each measured actual signature of the material from at least one associated correlation of at least one target material to the actual signature;

determining a deviation per derived actual signatures of the material of a respective derived target signature of the at least one target material;

comparing each deviation with a tolerance specified for the respective target material; and

outputting for which target materials the respective deviation between the target material and material is less than the tolerance of the respective target material.

8. The method of claim 7, wherein the correlation associated with a target material enables the generation of the derived target signature from a target signature, wherein the target signature is generated by the selection from an extended signature.

9. The method of claim 8, wherein the actual signatures and the extended signatures consist of k and n measured values respectively, wherein the number n is greater than or equal to the number k.

10. The method of claim 9, wherein a target database for non-volatile storing of target data sets comprising the derived target signatures, the selections and the correlations for the at least one target material, is generated with the steps:

applying of the I different measurement methods for generating a respective extended signature of the at least n measured values for at least one target material;

creating a measurement database of extended signatures;

optimizing each of a derived target signature, which is generated by the associated correlation from the associated target signature, which is generated by a selection of the measuring methods;

applying of the n different measurement methods for generating a respective extended signature from the at least n measured values for at least one target material, which is suitable for product processing;

creating a database of extended signatures;

optimizing a derived target signature, which is generated by an associated correlation from an associated target signature, which is generated by a selection from the measurement methods; and

,

creating the target database from the derived target signatures, the selections and correlations.

11. The method of claim 10, wherein a computer-based algorithm carries out the optimizing step.

12. The method of claim 10, wherein the optimizing step takes place after a combination of optimization criteria, which are provided with associated weights according to their relevance for the processing of a material in a device for product processing.

13. The method of claim 7, wherein in a database a selected subset of reference data sets is stored non-volatile, wherein the reference data each consist of selection of measurement methods, a target signature, the correlation and/or the derived target signature of at least one target material, and/or wherein in the database, audit records are logged, which consist of the actual signatures, the derived actual signatures and/or the deviations.

14. The method of claim 13, wherein audit records of the database are transmitted automatically via a digital network to a further external database.

15. The method of claim 14, wherein the audit records are used in the database as a control parameter for a control circuit in the processing in a device for product processing.

16. The method of claim 13, wherein an external storage medium, in which the nominal data sets and/or audit records are stored, is readable connected with a container, a packaging and/or a charge of a desired target material, or of a material.

17. The method of claim 16, wherein the external storage medium is made up of a Radio-Frequency Identification (RFID) chip is, on which the data sets are stored in the form of RFID tags and/or wherein the storage medium is made up of a label on which the data sets are stored alphanumeric and/or as a barcode.

18. The method of claim 7, wherein a suitability of the at least one material for processing in a device for product processing is checked during the ongoing production process.

19. The method of claim 7, wherein application of a selection of the I measurement methods is at least ten times faster than the application of m measurement methods.

20. The method of claim 7, wherein a data processing means reads a database and controls a reduced set of u measuring devices for performing the selection of measurement methods on a material such that values contained in a database, which are to be measured for the comparison of the material with several target material are not redundantly collected.